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• affiliation:Lingnan University, Department of Computing and Decision Sciences, Hong Kong
• affiliation (former):Education University of Hong Kong, Department of Mathematics and Information Technology, Hong Kong
• affiliation (former):Caritas Institute of Higher Education, School of Computing & Information Sciences, Hong Kong
• affiliation (former):Hong Kong Baptist University, Department of Computer Science, Kowloon, Hong Kong
• affiliation (former, PhD):City University of Hong Kong, Department of Computer Science, Hong Kong

• Haoran Xie0002 —Japan Advanced Institute of Science and Technology, Ishikawa, Japan(and 1 more)
• Haoran Xie0003 — Shanghai University, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, China
• Haoran Xie0004 — Tsinghua University, Department of Electronic Engineering, BNRist, Beijing, China
• Haoran Xie0005 — Nanjing University of Science and Technology, School of Mechanical Engineering, China
• Haoran Xie0006 — Guilin University of Electronic Technology, Guangxi Key Laboratory of Cryptography and Information Security, China

• 2026
• 
  [j222]
  Yaping Chai,Haoran Xie,S. Joe Qin:
  Text data augmentation for large language models: a comprehensive survey of methods, challenges, and opportunities.Artif. Intell. Rev.59(1):35 (2026)
• 
  [j221]
  Yuchen Chen,Xinli Zhang,Lailin Hu,Gwo-Jen Hwang,Haoran Xie,Yun-Fang Tu:
  Incremental project-based robot programming: Effects on young children's computational thinking, executive function, and learning behavioral patterns.Comput. Educ.241:105471 (2026)
• 
  [j220]
  Tazeem Ahmad,Xiaohui Tao,Jianming Yong,Thanveer Shaik,Haoran Xie,Yuefeng Li,U. Rajendra Acharya:
  Balancing privacy and performance: An empirical study of machine unlearning in deep learning models.Eng. Appl. Artif. Intell.167:113530 (2026)
• 
  [j219]
  Xiaorui Ma,Haoran Xie,S. Joe Qin:
  Efficiently Integrate Large Language Models with Visual Perception: A Survey from the Training Paradigm Perspective.Inf. Fusion125:103419 (2026)
• 
  [j218]
  Zongxi Li,Xianming Li,Jing Li,Haoran Xie,Fu Lee Wang,Qing Li:
  LS-BiLLMs: Label supervised bi-directional large language models for token- and sequence-level information extraction.Inf. Process. Manag.63(4):104568 (2026)
• 
  [j217]
  Wenna Lai,Haoran Xie,Guandong Xu,Qing Li:
  Multi-Task Learning With LLMs for Implicit Sentiment Analysis: Data-Level and Task-Level Automatic Weight Learning.IEEE Trans. Knowl. Data Eng.38(1):506-517 (2026)
• 2025
• 
  [j216]
  Thanveer Shaik,Xiaohui Tao,Lin Li,Haoran Xie,Hong-Ning Dai,Feng Zhao,Jianming Yong:
  AI-driven multi-agent reinforcement learning framework for real-time monitoring of physiological signals in stress and depression contexts.Brain Informatics12(1):14 (2025)
• 
  [j215]
  Lingling Xu,Haoran Xie,Xiaohui Tao,S. Joe Qin,Fu Lee Wang,Raj Gururajan,Soman Elangovan,Yanmei Shen:
  Personalized rTMS treatment recommendation with retrieval-augmented LLM reasoning.Brain Informatics12(1):29 (2025)
• 
  [j214]
  Xieling Chen,Haoran Xie,Di Zou,Gary Cheng,Xiaohui Tao,Fu Lee Wang:
  Perceived MOOC satisfaction: A review mining approach using machine learning and fine-tuned BERTs.Comput. Educ. Artif. Intell.8:100366 (2025)
• 
  [j213]
  Ruofei Zhang,Di Zou,Gary Cheng,Haoran Xie:
  Flow in ChatGPT-based logic learning and its influences on logic and self-efficacy in English argumentative writing.Comput. Hum. Behav.162:108457 (2025)
• 
  [j212]
  Haoxin Xu,Tianrun Deng,Xianlong Xu,Xiaoqing Gu,Lingyun Huang,Haoran Xie,Minhong Wang:
  Integrating 4C/ID model into computer- supported formative assessment system to improve the effectiveness of complex skills training for vocational education.Educ. Inf. Technol.30(5):5921-5964 (2025)
• 
  [j211]
  Lucas Kohnke,Di Zou,Haoran Xie:
  Microlearning and generative AI for pre-service teacher education: a qualitative case study.Educ. Inf. Technol.30(15):21221-21248 (2025)
• 
  [j210]
  Jingjing Wang,Haoran Xie,Siyu Zhang,S. Joe Qin,Xiaohui Tao,Fu Lee Wang,Xiaoliang Xu:
  Multimodal fusion framework based on knowledge graph for personalized recommendation.Expert Syst. Appl.268:126308 (2025)
• 
  [j209]
  Lingling Xu,Haoran Xie,S. Joe Qin,Fu Lee Wang,Xiaohui Tao:
  Exploring ChatGPT-Based Augmentation Strategies for Contrastive Aspect-Based Sentiment Analysis.IEEE Intell. Syst.40(1):69-76 (2025)
• 
  [j208]
  Xieling Chen,Haoran Xie,S. Joe Qin,Lingling Xu,Xiaohui Tao,Fu Lee Wang:
  Leveraging ChatGPT-Based Augmentation and Contrastive Learning for Chinese Massive Open Online Course Sentiment Analysis.IEEE Intell. Syst.40(6):64-72 (2025)
• 
  [j207]
  Thanveer Shaik,Xiaohui Tao,Haoran Xie,Lin Li,Niall Higgins,Juan D. Velásquez:
  Towards Transparent Deep Learning in Medicine: Feature Contribution and Attention Mechanism-Based Explainability.Hum. Centric Intell. Syst.5(2):209-229 (2025)
• 
  [j206]
  Jingjing Wang,Haoran Xie,S. Joe Qin,Xiaohui Tao,Fu Lee Wang,Xiaoliang Xu:
  Enhancing collaborative translational metric learning with causal graph network.Neurocomputing651:130933 (2025)
• 
  [j205]
  Xieling Chen,Di Zou,Haoran Xie,Fu Lee Wang:
  Educational chatbot research: text mining and bibliometrics.Interact. Learn. Environ.33(4):2762-2780 (2025)
• 
  [j204]
  Xieling Chen,Haoran Xie,Xiaohui Tao,Fu Lee Wang,Dian Zhang,Hong-Ning Dai:
  A computational analysis of aspect-based sentiment analysis research through bibliometric mapping and topic modeling.J. Big Data12(1):40 (2025)
• 
  [j203]
  Simi Job,Xiaohui Tao,Taotao Cai,Lin Li,Haoran Xie,Cai Xu,Jianming Yong:
  HebCGNN: Hebbian-enabled causal classification integrating dynamic impact valuing.Knowl. Based Syst.311:113094 (2025)
• 
  [j202]
  Thanveer Shaik,Xiaohui Tao,Lin Li,Haoran Xie,U. Rajendra Acharya,Raj Gururajan,Xujuan Zhou:
  Predictive deep reinforcement learning with multi-agent systems for adaptive time series forecasting.Knowl. Based Syst.326:113941 (2025)
• 
  [j201]
  Xieling Chen,Haoran Xie,Zongxi Li,Han Zhang,Xiaohui Tao,Fu Lee Wang:
  Sentiment analysis for stock market research: A bibliometric study.Nat. Lang. Process. J.10:100125 (2025)
• 
  [j200]
  Wenna Lai,Haoran Xie,Guandong Xu,Qing Li:
  RVISA: Reasoning and Verification for Implicit Sentiment Analysis.IEEE Trans. Affect. Comput.16(3):1760-1771 (2025)
• 
  [j199]
  Zhaoqing Pan,Guoyu Zhang,Bo Peng,Jianjun Lei,Haoran Xie,Fu Lee Wang,Nam Ling:
  JND-LIC: Learned Image Compression via Just Noticeable Difference for Human Visual Perception.IEEE Trans. Broadcast.71(1):217-228 (2025)
• 
  [j198]
  Xiaohua Wu,Lin Li,Xiaohui Tao,Jingling Yuan,Haoran Xie:
  Towards the Explanation Consistency of Citizen Groups in Happiness Prediction via Factor Decorrelation.IEEE Trans. Emerg. Top. Comput. Intell.9(2):1392-1405 (2025)
• 
  [j197]
  Wuzhou Quan,Wei Zhao,Weiming Wang,Haoran Xie,Fu Lee Wang,Mingqiang Wei:
  Lost in UNet: Improving Infrared Small Target Detection by Underappreciated Local Features.IEEE Trans. Geosci. Remote. Sens.63:1-15 (2025)
• 
  [j196]
  Zihan Hu,Jiuxiang You,Zhenguo Yang,Xiaoping Li,Haoran Xie,Qing Li,Wenyin Liu:
  A Multi-Hop Graph Reasoning Network for Knowledge-Based VQA.ACM Trans. Intell. Syst. Technol.16(3):65:1-65:23 (2025)
• 
  [j195]
  Xianglin Guo,Yifan Wang,Heng Liu,Haoran Xie,Gary Cheng,Fu Lee Wang:
  Steerable Graph Neural Network on Point Clouds via Second-Order Random Walks.IEEE Trans. Multim.27:875-888 (2025)
• 
  [j194]
  Thanveer Shaik,Xiaohui Tao,Haoran Xie,Lin Li,Xiaofeng Zhu,Qing Li:
  Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy.IEEE Trans. Neural Networks Learn. Syst.36(7):11676-11696 (2025)
• 
  [j193]
  Xinhong Chen,Zongxi Li,Haoran Xie,Jianping Wang,Qing Li,Kevin Hung:
  Recognizing Conditional Causal Relationships about Emotions and Their Corresponding Conditions.Web Intell.23(4):579-595 (2025)
• 
  [j192]
  Simi Job,Xiaohui Tao,Taotao Cai,Haoran Xie,Lin Li,Qing Li,Jianming Yong:
  Exploring Causal Learning Through Graph Neural Networks: An In-Depth Review.WIREs Data. Mining. Knowl. Discov.15(2) (2025)
• 
  [j191]
  Simi Job,Xiaohui Tao,Taotao Cai,Lin Li,Quan Z. Sheng,Haoran Xie,Jianming Yong:
  Causal integration in graph neural networks toward enhanced classification: benchmarking and advancements for robust performance.World Wide Web (WWW)28(3):30 (2025)
• 
  [c125]
  Maolin Li,Zhuopan Yang,Haoran Xie,Lap-Kei Lee,Fu Lee Wang,Yi Yu,Zhenguo Yang:
  Chain-of-Thought Prompting with Causal Intervention for Multimodal Aspect-Based Sentiment Analysis.DASFAA (2)2025:446-455
• 
  [c124]
  Zongxi Li,Yang Li,Haoran Xie,S. Joe Qin:
  CondAmbigQA: A Benchmark and Dataset for Conditional Ambiguous Question Answering.EMNLP2025:2269-2288
• 
  [c123]
  Xieling Chen,Haoran Xie,Di Zou,Lingling Xu,Fu Lee Wang:
  Fine-Tuned BERT Model for Sentiment Classification of Chinese MOOCs.ICBL2025:267-278
• 
  [c122]
  Zijian Wang,Zongxi Li,Haoran Xie,Minhong Wang,Bian Wu,Yiling Hu:
  Context-Aware Multi-label Classification for Collaborative Problem Solving Dialogue Analysis.ICBL2025:279-290
• 
  [c121]
  Xianming Li,Zongxi Li,Jing Li,Haoran Xie,Qing Li:
  ESE: Espresso Sentence Embeddings.ICLR2025
• 
  [c120]
  Jin Wei,Jiajie Lin,Zhenguo Yang,Haoran Xie,Fuqiang Yu,Xiaoping Li:
  A Multi-Grained Perception Model for Sentiment Analysis with Perceived Contrastive Focal Loss.ICME2025:1-6
• 
  [c119]
  Zihan Yang,Xiaohui Tao,Taotao Cai,Yifu Tang,Haoran Xie,Lin Li,Jianxin Li,Qing Li:
  A Survey on Multi-View Knowledge Graph: Generation, Fusion, Applications and Future Directions.IJCAI2025:10788-10796
• 
  [c118]
  Liqian Zhang,Feng Yuan,Haoran Xie,Fu Lee Wang,Zhaoqing Pan:
  Evaluating Visual Quality of Autostereoscopic 3D Displays via a Multimodal Parameter Perception Network.ACM Multimedia2025:7055-7063
• 
  [c117]
  Yufeng Jiang,Zongxi Li,Xiangyan Chen,Haoran Xie,Jing Cai:
  U-MLLA: A Cognitive-Inspired Enhancement of Linear Attention for Medical Image Segmentation.PRCV (13)2025:76-90
• 
  [i71]
  Wenna Lai,Haoran Xie,Guandong Xu,Qing Li:
  STAR: Stepwise Task Augmentation and Relation Learning for Aspect Sentiment Quad Prediction.CoRRabs/2501.16093 (2025)
• 
  [i70]
  Yaping Chai,Haoran Xie,Si-Zhao Joe Qin:
  Text Data Augmentation for Large Language Models: A Comprehensive Survey of Methods, Challenges, and Opportunities.CoRRabs/2501.18845 (2025)
• 
  [i69]
  Zongxi Li,Yang Li,Haoran Xie,S. Joe Qin:
  CondAmbigQA: A Benchmark and Dataset for Conditional Ambiguous Question Answering.CoRRabs/2502.01523 (2025)
• 
  [i68]
  Xiaorui Ma,Haoran Xie,S. Joe Qin:
  Efficiently Integrate Large Language Models with Visual Perception: A Survey from the Training Paradigm Perspective.CoRRabs/2502.01524 (2025)
• 
  [i67]
  Sadia Qureshi,Thanveer Shaik,Xiaohui Tao,Haoran Xie,Lin Li,Jianming Yong,Xiaohua Jia:
  Exploring Incremental Unlearning: Techniques, Challenges, and Future Directions.CoRRabs/2502.16708 (2025)
• 
  [i66]
  Bolin Chen,Baoquan Zhao,Haoran Xie,Yi Cai,Qing Li,Xudong Mao:
  ConsisLoRA: Enhancing Content and Style Consistency for LoRA-based Style Transfer.CoRRabs/2503.10614 (2025)
• 
  [i65]
  Wenna Lai,Haoran Xie,Guandong Xu,Qing Li,S. Joe Qin:
  When LLMs Team Up: The Emergence of Collaborative Affective Computing.CoRRabs/2506.01698 (2025)
• 
  [i64]
  Yaping Chai,Haoran Xie,Si-Zhao Joe Qin:
  Semantic-preserved Augmentation with Confidence-weighted Fine-tuning for Aspect Category Sentiment Analysis.CoRRabs/2506.07148 (2025)
• 
  [i63]
  Haote Zhang,Lipeng Gu,Wuzhou Quan,Fu Lee Wang,Honghui Fan,Jiali Tang,Dingkun Zhu,Haoran Xie,Xiaoping Zhang,Mingqiang Wei:
  Wavelet-guided Misalignment-aware Network for Visible-Infrared Object Detection.CoRRabs/2507.20146 (2025)
• 
  [i62]
  Thanveer Shaik,Xiaohui Tao,Haoran Xie,Robert Sang:
  Quantum Machine Unlearning: Foundations, Mechanisms, and Taxonomy.CoRRabs/2511.00406 (2025)
• 
  [i61]
  Yaping Chai,Haoran Xie,Si-Zhao Joe Qin:
  Emotion-Enhanced Multi-Task Learning with LLMs for Aspect Category Sentiment Analysis.CoRRabs/2511.19122 (2025)
• 
  [i60]
  Wenna Lai,Haoran Xie,Guandong Xu,Qing Li,S. Joe Qin:
  Listwise Preference Optimization with Element-wise Confusions for Aspect Sentiment Quad Prediction.CoRRabs/2511.23184 (2025)
• 
  [i59]
  Yucheng Liao,Jiajun Liang,Kaiqian Cui,Baoquan Zhao,Haoran Xie,Wei Liu,Qing Li,Xudong Mao:
  FreqEdit: Preserving High-Frequency Features for Robust Multi-Turn Image Editing.CoRRabs/2512.01755 (2025)
• 2024
• 
  [j190]
  Xieling Chen,Haoran Xie,Xiaohui Tao,Fu Lee Wang,Mingming Leng,Baiying Lei:
  Artificial intelligence and multimodal data fusion for smart healthcare: topic modeling and bibliometrics.Artif. Intell. Rev.57(4):91 (2024)
• 
  [j189]
  Jiaxing Yan,Hai Liu,Zhiqi Lei,Yanghui Rao,Guan Liu,Haoran Xie,Xiaohui Tao,Fu Lee Wang:
  Two-dimensional data partitioning for non-negative matrix tri-factorization.Big Data Res.37:100473 (2024)
• 
  [j188]
  Liuyang Zhao,Landu Jiang,Yufeng Xie,Jianhao Huang,Haoran Xie,Jun Tian,Dian Zhang:
  scDTL: enhancing single-cell RNA-seq imputation through deep transfer learning with bulk cell information.Briefings Bioinform.25(6) (2024)
• 
  [j187]
  Jionghao Lin,Mladen Rakovic,Yuheng Li,Haoran Xie,David Lang,Dragan Gasevic,Guanliang Chen:
  On the role of politeness in online human-human tutoring.Br. J. Educ. Technol.55(1):156-180 (2024)
• 
  [j186]
  Gary Cheng,Di Zou,Haoran Xie,Fu Lee Wang:
  Exploring differences in self-regulated learning strategy use between high- and low-performing students in introductory programming: An analysis of eye-tracking and retrospective think-aloud data from program comprehension.Comput. Educ.208:104948 (2024)
• 
  [j185]
  Xieling Chen,Haoran Xie,S. Joe Qin,Yaping Chai,Xiaohui Tao,Fu Lee Wang:
  Cognitive-Inspired Deep Learning Models for Aspect-Based Sentiment Analysis: A Retrospective Overview and Bibliometric Analysis.Cogn. Comput.16(6):3518-3556 (2024)
• 
  [j184]
  Xieling Chen,Di Zou,Gary Cheng,Haoran Xie:
  Deep neural networks for the automatic understanding of the semantic content of online course reviews.Educ. Inf. Technol.29(4):3953-3991 (2024)
• 
  [j183]
  Xieling Chen,Di Zou,Haoran Xie:
  Technologies in content and language integrated learning: types, purposes, and outcomes.Int. J. Mob. Learn. Organisation18(4):461-495 (2024)
• 
  [j182]
  Thanveer Shaik,Xiaohui Tao,Lin Li,Haoran Xie,Juan D. Velásquez:
  A survey of multimodal information fusion for smart healthcare: Mapping the journey from data to wisdom.Inf. Fusion102:102040 (2024)
• 
  [j181]
  Lingling Xu,Haoran Xie,Fu Lee Wang,Xiaohui Tao,Weiming Wang,Qing Li:
  Contrastive sentence representation learning with adaptive false negative cancellation.Inf. Fusion102:102065 (2024)
• 
  [j180]
  Jiawei Miao,Haicheng Tao,Haoran Xie,Jianshan Sun,Jie Cao:
  Reconstruction-based anomaly detection for multivariate time series using contrastive generative adversarial networks.Inf. Process. Manag.61(1):103569 (2024)
• 
  [j179]
  Xieling Chen,Haoran Xie,Xiaohui Tao,Fu Lee Wang,Jie Cao:
  Leveraging text mining and analytic hierarchy process for the automatic evaluation of online courses.Int. J. Mach. Learn. Cybern.15(11):4973-4998 (2024)
• 
  [j178]
  Pengbo Mao,Hegang Chen,Yanghui Rao,Haoran Xie,Fu Lee Wang:
  Contrastive learning for hierarchical topic modeling.Nat. Lang. Process. J.6:100058 (2024)
• 
  [j177]
  Yuyin Lu,Hegang Chen,Pengbo Mao,Yanghui Rao,Haoran Xie,Fu Lee Wang,Qing Li:
  Self-supervised Topic Taxonomy Discovery in the Box Embedding Space.Trans. Assoc. Comput. Linguistics12:1401-1416 (2024)
• 
  [j176]
  Thanveer Shaik,Xiaohui Tao,Haoran Xie,Lin Li,Jianming Yong,Yuefeng Li:
  Graph-Enabled Reinforcement Learning for Time Series Forecasting With Adaptive Intelligence.IEEE Trans. Emerg. Top. Comput. Intell.8(4):2908-2918 (2024)
• 
  [j175]
  Yihua Fan,Yongzhen Wang,Dong Liang,Yiping Chen,Haoran Xie,Fu Lee Wang,Jonathan Li,Mingqiang Wei:
  Low-FaceNet: Face Recognition-Driven Low-Light Image Enhancement.IEEE Trans. Instrum. Meas.73:1-13 (2024)
• 
  [j174]
  Yongzhen Wang,Xuefeng Yan,Fu Lee Wang,Haoran Xie,Wenhan Yang,Xiao-Ping Zhang,Jing Qin,Mingqiang Wei:
  UCL-Dehaze: Toward Real-World Image Dehazing via Unsupervised Contrastive Learning.IEEE Trans. Image Process.33:1361-1374 (2024)
• 
  [j173]
  Feng Yuan,Jianjun Lei,Zhaoqing Pan,Bo Peng,Haoran Xie:
  λ-Domain Rate Control via Wavelet-Based Residual Neural Network for VVC HDR Intra Coding.IEEE Trans. Image Process.33:6189-6203 (2024)
• 
  [j172]
  Simi Job,Xiaohui Tao,Lin Li,Haoran Xie,Taotao Cai,Jianming Yong,Qing Li:
  Optimal Treatment Strategies for Critical Patients with Deep Reinforcement Learning.ACM Trans. Intell. Syst. Technol.15(2):36:1-36:22 (2024)
• 
  [j171]
  Mingqiang Wei,Baian Chen,Liangliang Nan,Haoran Xie,Lipeng Gu,Dening Lu,Fu Lee Wang,Qing Li:
  SimLOG: Simultaneous Local-Global Feature Learning for 3D Object Detection in Indoor Point Clouds.IEEE Trans. Intell. Transp. Syst.25(12):19482-19495 (2024)
• 
  [j170]
  Yutong She,Peng Li,Mingqiang Wei,Dong Liang,Yiping Chen,Haoran Xie,Fu Lee Wang:
  eViTBins: Edge-Enhanced Vision-Transformer Bins for Monocular Depth Estimation on Edge Devices.IEEE Trans. Intell. Transp. Syst.25(12):20320-20334 (2024)
• 
  [j169]
  Thanveer Shaik,Xiaohui Tao,Lin Li,Haoran Xie,Taotao Cai,Xiaofeng Zhu,Qing Li:
  FRAMU: Attention-Based Machine Unlearning Using Federated Reinforcement Learning.IEEE Trans. Knowl. Data Eng.36(10):5153-5167 (2024)
• 
  [j168]
  Zigui Jiang,Weilin Zheng,Bo Liu,Hong-Ning Dai,Haoran Xie,Xiapu Luo,Zibin Zheng,Qing Li:
  Unravelling Token Ecosystem of EOSIO Blockchain.IEEE Trans. Knowl. Data Eng.36(10):5423-5439 (2024)
• 
  [j167]
  Fan Su,Di Zou,Haoran Xie:
  Integrating Different Group Patterns into Collaborative Argumentative Writing in the Shimo Platform.Technol. Knowl. Learn.29(1):309-330 (2024)
• 
  [j166]
  Baian Chen,Zhilei Chen,Xiaowei Hu,Jun Xu,Haoran Xie,Jing Qin,Mingqiang Wei:
  Dynamic Message Propagation Network for RGB-D and Video Salient Object Detection.ACM Trans. Multim. Comput. Commun. Appl.20(1):18:1-18:21 (2024)
• 
  [j165]
  Zhe Zhu,Liangliang Nan,Haoran Xie,Honghua Chen,Jun Wang,Mingqiang Wei,Jing Qin:
  CSDN: Cross-Modal Shape-Transfer Dual-Refinement Network for Point Cloud Completion.IEEE Trans. Vis. Comput. Graph.30(7):3545-3563 (2024)
• 
  [j164]
  Lipeng Gu,Xuefeng Yan,Peng Cui,Lina Gong,Haoran Xie,Fu Lee Wang,Jing Qin,Mingqiang Wei:
  PointSee: Image Enhances Point Cloud.IEEE Trans. Vis. Comput. Graph.30(9):6291-6308 (2024)
• 
  [j163]
  Chen Chen,Yisen Wang,Honghua Chen,Xuefeng Yan,Dayong Ren,Yanwen Guo,Haoran Xie,Fu Lee Wang,Mingqiang Wei:
  GeoSegNet: point cloud semantic segmentation via geometric encoder-decoder modeling.Vis. Comput.40(8):5107-5121 (2024)
• 
  [j162]
  Dingkun Zhu,Weiming Wang,Xue Xue,Haoran Xie,Gary Cheng,Fu Lee Wang:
  Structure-preserving image smoothing via contrastive learning.Vis. Comput.40(8):5139-5153 (2024)
• 
  [j161]
  Xieling Chen,Haoran Xie,Xiaohui Tao,Lingling Xu,Jingjing Wang,Hongning Dai,Fu Lee Wang:
  A topic modeling-based bibliometric exploration of automatic summarization research.WIREs Data. Mining. Knowl. Discov.14(5) (2024)
• 
  [c116]
  Sen Yang,Zusheng Tan,Jing-Yu Ji,Haoran Xie,Man Leung Wong,Sam Kwong:
  Tri-Objective Differential Evolution with Gradient Information Reused for Constrained Optimization.CEC2024:1-8
• 
  [c115]
  Yun Liu,Weiming Wang,Fu Lee Wang,Haoran Xie,Honghua Chen,Mingqiang Wei,Jing Qin:
  Shape Descriptor Guided Learning for Category-Level Object Pose Estimation.CGI (3)2024:42-54
• 
  [c114]
  Lianyu Pang,Jian Yin,Haoran Xie,Qiping Wang,Qing Li,Xudong Mao:
  Cross Initialization for Face Personalization of Text-to-Image Models.CVPR2024:8393-8403
• 
  [c113]
  Xieling Chen,Zongxi Li,Di Zou,Fu Lee Wang,Haoran Xie,Leung Pun Wong:
  Leveraging Deep Learning for Classifying Learner-Generated Course Evaluation Texts.ICBL2024:311-321
• 
  [c112]
  Zihan Hu,Ruoyao Ding,Haoran Xie,Zhenguo Yang:
  A Multimodal Contrastive Network with Unbiased Distillation for Knowledge-based VQA.IJCNN2024:1-8
• 
  [i58]
  Simi Job,Xiaohui Tao,Taotao Cai,Lin Li,Haoran Xie,Jianming Yong:
  Towards Causal Classification: A Comprehensive Study on Graph Neural Networks.CoRRabs/2401.15444 (2024)
• 
  [i57]
  Xianming Li,Zongxi Li,Jing Li,Haoran Xie,Qing Li:
  2D Matryoshka Sentence Embeddings.CoRRabs/2402.14776 (2024)
• 
  [i56]
  Matthew R. Squires,Xiaohui Tao,Soman Elangovan,Raj Gururajan,Haoran Xie,Xujuan Zhou,Yuefeng Li,U. Rajendra Acharya:
  DE-CGAN: Boosting rTMS Treatment Prediction with Diversity Enhancing Conditional Generative Adversarial Networks.CoRRabs/2404.16913 (2024)
• 
  [i55]
  Matthew R. Squires,Xiaohui Tao,Soman Elangovan,U. Rajendra Acharya,Raj Gururajan,Haoran Xie,Xujuan Zhou:
  Enhancing Suicide Risk Detection on Social Media through Semi-Supervised Deep Label Smoothing.CoRRabs/2405.05795 (2024)
• 
  [i54]
  Wuzhou Quan,Wei Zhao,Weiming Wang,Haoran Xie,Fu Lee Wang,Mingqiang Wei:
  Lost in UNet: Improving Infrared Small Target Detection by Underappreciated Local Features.CoRRabs/2406.13445 (2024)
• 
  [i53]
  Wenna Lai,Haoran Xie,Guandong Xu,Qing Li:
  RVISA: Reasoning and Verification for Implicit Sentiment Analysis.CoRRabs/2407.02340 (2024)
• 
  [i52]
  Yuyin Lu,Hegang Chen,Pengbo Mao,Yanghui Rao,Haoran Xie,Fu Lee Wang,Qing Li:
  Self-supervised Topic Taxonomy Discovery in the Box Embedding Space.CoRRabs/2408.15050 (2024)
• 
  [i51]
  Lipeng Gu,Mingqiang Wei,Xuefeng Yan,Dingkun Zhu,Wei Zhao,Haoran Xie,Yong-Jin Liu:
  YOLOO: You Only Learn from Others Once.CoRRabs/2409.00618 (2024)
• 
  [i50]
  Lingling Xu,Haoran Xie,S. Joe Qin,Fu Lee Wang,Xiaohui Tao:
  Exploring ChatGPT-based Augmentation Strategies for Contrastive Aspect-based Sentiment Analysis.CoRRabs/2409.11218 (2024)
• 
  [i49]
  Yufeng Jiang,Zongxi Li,Xiangyan Chen,Haoran Xie,Jing Cai:
  MLLA-UNet: Mamba-like Linear Attention in an Efficient U-Shape Model for Medical Image Segmentation.CoRRabs/2410.23738 (2024)
• 
  [i48]
  Wenna Lai,Haoran Xie,Guandong Xu,Qing Li:
  Multi-Task Learning with LLMs for Implicit Sentiment Analysis: Data-level and Task-level Automatic Weight Learning.CoRRabs/2412.09046 (2024)
• 
  [i47]
  Jingjing Wang,Hongjie Zhu,Haoran Xie,Fu Lee Wang,Xiaoliang Xu,Yuxiang Wang:
  Graph Similarity Computation via Interpretable Neural Node Alignment.CoRRabs/2412.12185 (2024)
• 2023
• 
  [j160]
  Xiaohui Tao,Aaron Shannon-Honson,Patrick J. Delaney,Christopher Dann,Haoran Xie,Yan Li,Shirley O'Neill:
  Towards an understanding of the engagement and emotional behaviour of MOOC students using sentiment and semantic features.Comput. Educ. Artif. Intell.4:100116 (2023)
• 
  [j159]
  Xieling Chen,Di Zou,Haoran Xie,Guanliang Chen,Jionghao Lin,Gary Cheng:
  Exploring contributors, collaborations, and research topics in educational technology: A joint analysis of mainstream conferences.Educ. Inf. Technol.28(2):1323-1358 (2023)
• 
  [j158]
  Xieling Chen,Di Zou,Gary Cheng,Haoran Xie,Morris S. Y. Jong:
  Blockchain in smart education: Contributors, collaborations, applications and research topics.Educ. Inf. Technol.28(4):4597-4627 (2023)
• 
  [j157]
  Xieling Chen,Di Zou,Gary Cheng,Haoran Xie,Morris S. Y. Jong:
  Author Correction: Blockchain in smart education: Contributors, collaborations, applications and research topics.Educ. Inf. Technol.28(7):9267 (2023)
• 
  [j156]
  Jingjing Wang,Haoran Xie,Fu Lee Wang,Lap-Kei Lee:
  A transformer-convolution model for enhanced session-based recommendation.Neurocomputing531:21-33 (2023)
• 
  [j155]
  Xieling Chen,Haoran Xie,Zongxi Li,Gary Cheng,Mingming Leng,Fu Lee Wang:
  Information fusion and artificial intelligence for smart healthcare: a bibliometric study.Inf. Process. Manag.60(1):103113 (2023)
• 
  [j154]
  Zongxi Li,Xianming Li,Haoran Xie,Fu Lee Wang,Mingming Leng,Qing Li,Xiaohui Tao:
  A novel dropout mechanism with label extension schema toward text emotion classification.Inf. Process. Manag.60(2):103173 (2023)
• 
  [j153]
  Jingjing Wang,Haoran Xie,Fu Lee Wang,Lap-Kei Lee,Mingqiang Wei:
  Jointly modeling intra- and inter-session dependencies with graph neural networks for session-based recommendations.Inf. Process. Manag.60(2):103209 (2023)
• 
  [j152]
  Qiping Wang,Tingxuan Su,Raymond Yiu-Keung Lau,Haoran Xie:
  DeepEmotionNet: Emotion mining for corporate performance analysis and prediction.Inf. Process. Manag.60(3):103151 (2023)
• 
  [j151]
  Di Zou,Haoran Xie,Fu Lee Wang:
  Effects of technology enhanced peer, teacher and self-feedback on students' collaborative writing, critical thinking tendency and engagement in learning.J. Comput. High. Educ.35(1):166-185 (2023)
• 
  [j150]
  Qiping Wang,Raymond Yiu-Keung Lau,Yain-Whar Si,Haoran Xie,Xiaohui Tao:
  Blockchain-Enhanced Smart Contract for Cost-Effective Insurance Claims Processing.J. Glob. Inf. Manag.31(7):1-21 (2023)
• 
  [j149]
  Aolin Che,Jinghua Yang,Cai Guo,Hong-Ning Dai,Haoran Xie,Ping Li:
  AEGAN: Generating imperceptible face synthesis via autoencoder-based generative adversarial network.Comput. Animat. Virtual Worlds34(3-4) (2023)
• 
  [j148]
  Xieling Chen,Haoran Xie,Zongxi Li,Dian Zhang,Gary Cheng,Fu Lee Wang,Hong-Ning Dai,Qing Li:
  Leveraging deep learning for automatic literature screening in intelligent bibliometrics.Int. J. Mach. Learn. Cybern.14(4):1483-1525 (2023)
• 
  [j147]
  Fu Lee Wang,Zhengwei Zhao,Gary Cheng,Yanghui Rao,Haoran Xie:
  Weighted cluster-level social emotion classification across domains.Int. J. Mach. Learn. Cybern.14(7):2385-2394 (2023)
• 
  [j146]
  Jing-jing Wang,Haoran Xie,Fu Lee Wang,Lap-Kei Lee:
  Improving text classification via a soft dynamical label strategy.Int. J. Mach. Learn. Cybern.14(7):2395-2405 (2023)
• 
  [j145]
  Thanveer Shaik,Xiaohui Tao,Christopher Dann,Haoran Xie,Yan Li,Linda Galligan:
  Sentiment analysis and opinion mining on educational data: A survey.Nat. Lang. Process. J.2:100003 (2023)
• 
  [j144]
  Zhongyu Zhuang,Ziran Liang,Yanghui Rao,Haoran Xie,Fu Lee Wang:
  Out-of-vocabulary word embedding learning based on reading comprehension mechanism.Nat. Lang. Process. J.5:100038 (2023)
• 
  [j143]
  Haoran Zhou,Honghua Chen,Yingkui Zhang,Mingqiang Wei,Haoran Xie,Jun Wang,Tong Lu,Jing Qin,Xiao-Ping Zhang:
  Refine-Net: Normal Refinement Neural Network for Noisy Point Clouds.IEEE Trans. Pattern Anal. Mach. Intell.45(1):946-963 (2023)
• 
  [j142]
  Yicong Liang,Di Zou,Haoran Xie,Fu Lee Wang:
  Exploring the potential of using ChatGPT in physics education.Smart Learn. Environ.10(1):52 (2023)
• 
  [j141]
  Xinhong Chen,Qing Li,Zongxi Li,Haoran Xie,Fu Lee Wang,Jianping Wang:
  A Reinforcement Learning Based Two-Stage Model for Emotion Cause Pair Extraction.IEEE Trans. Affect. Comput.14(3):1779-1790 (2023)
• 
  [j140]
  Bishenghui Tao,Hong-Ning Dai,Haoran Xie,Fu Lee Wang:
  Structural Identity Representation Learning for Blockchain-Enabled Metaverse Based on Complex Network Analysis.IEEE Trans. Comput. Soc. Syst.10(5):2214-2225 (2023)
• 
  [j139]
  Yiyang Shen,Rongwei Yu,Peng Wu,Haoran Xie,Lina Gong,Jing Qin,Mingqiang Wei:
  ImLiDAR: Cross-Sensor Dynamic Message Propagation Network for 3-D Object Detection.IEEE Trans. Geosci. Remote. Sens.61:1-13 (2023)
• 
  [j138]
  Lingling Xu,Haoran Xie,Zongxi Li,Fu Lee Wang,Weiming Wang,Qing Li:
  Contrastive Learning Models for Sentence Representations.ACM Trans. Intell. Syst. Technol.14(4):67:1-67:34 (2023)
• 
  [j137]
  Qiqi Ding,Peng Li,Xuefeng Yan,Ding Shi,Luming Liang,Weiming Wang,Haoran Xie,Jonathan Li,Mingqiang Wei:
  CF-YOLO: Cross Fusion YOLO for Object Detection in Adverse Weather With a High-Quality Real Snow Dataset.IEEE Trans. Intell. Transp. Syst.24(10):10749-10759 (2023)
• 
  [j136]
  Yufu Chen,Yanghui Rao,Shurui Chen,Zhiqi Lei,Haoran Xie,Raymond Y. K. Lau,Jian Yin:
  Semi-Supervised Sentiment Classification and Emotion Distribution Learning Across Domains.ACM Trans. Knowl. Discov. Data17(5):74:1-74:30 (2023)
• 
  [j135]
  Yufu Chen,Zhiqi Lei,Yanghui Rao,Haoran Xie,Fu Lee Wang,Jian Yin,Qing Li:
  Parallel Non-Negative Matrix Tri-Factorization for Text Data Co-Clustering.IEEE Trans. Knowl. Data Eng.35(5):5132-5146 (2023)
• 
  [j134]
  Xieling Chen,Di Zou,Haoran Xie,Fu Lee Wang:
  Metaverse in Education: Contributors, Cooperations, and Research Themes.IEEE Trans. Learn. Technol.16(6):1111-1129 (2023)
• 
  [j133]
  Dian Zhang,Zexiong Liao,Wen Xie,Xiaofeng Wu,Haoran Xie,Jiang Xiao,Landu Jiang:
  Fine-Grained and Real-Time Gesture Recognition by Using IMU Sensors.IEEE Trans. Mob. Comput.22(4):2177-2189 (2023)
• 
  [j132]
  Baiying Lei,Yun Zhu,Enmin Liang,Peng Yang,Shaobin Chen,Huoyou Hu,Haoran Xie,Ziyi Wei,Fei Hao,Xuegang Song,Tianfu Wang,Xiaohua Xiao,Shuqiang Wang,Hongbin Han:
  Federated Domain Adaptation via Transformer for Multi-Site Alzheimer's Disease Diagnosis.IEEE Trans. Medical Imaging42(12):3651-3664 (2023)
• 
  [j131]
  Mingqiang Wei,Honghua Chen,Yingkui Zhang,Haoran Xie,Yanwen Guo,Jun Wang:
  GeoDualCNN: Geometry-Supporting Dual Convolutional Neural Network for Noisy Point Clouds.IEEE Trans. Vis. Comput. Graph.29(2):1357-1370 (2023)
• 
  [j130]
  Peng Wu,Lipeng Gu,Xuefeng Yan,Haoran Xie,Fu Lee Wang,Gary Cheng,Mingqiang Wei:
  PV-RCNN++: semantical point-voxel feature interaction for 3D object detection.Vis. Comput.39(6):2425-2440 (2023)
• 
  [j129]
  Yang Li,Zibin Zheng,Hong-Ning Dai,Raymond Chi-Wing Wong,Haoran Xie:
  Profit-based deep architecture with integration of reinforced data selector to enhance trend-following strategy.World Wide Web (WWW)26(4):1685-1705 (2023)
• 
  [c111]
  Xianming Li,Zongxi Li,Xiaotian Luo,Haoran Xie,Xing Lee,Yingbin Zhao,Fu Lee Wang,Qing Li:
  Recurrent Attention Networks for Long-text Modeling.ACL (Findings)2023:3006-3019
• 
  [c110]
  Xieling Chen,Haoran Xie,Di Zou,Fu Lee Wang:
  ChatGPT for generating stories and mind-maps in storytelling.BESC2023:1-8
• 
  [c109]
  Han Wei,Zongxi Li,Haoran Xie,Kevin Hung,Minhong Wang:
  Beyond Scores: A Novel Method for Predicting Student Performance Based on Rank and Positional Embedding.BESC2023:1-7
• 
  [c108]
  Zhaowei Chen,Peng Li,Zeyong Wei,Honghua Chen,Haoran Xie,Mingqiang Wei,Fu Lee Wang:
  Geogcn: Geometric Dual-Domain Graph Convolution Network For Point Cloud Denoising.ICASSP2023:1-5
• 
  [c107]
  Zhiheng Hu,Yongzhen Wang,Peng Li,Jie Qin,Haoran Xie,Mingqiang Wei:
  ISmallNet: Densely Nested Network with Label Decoupling for Infrared Small Target Detection.ICASSP2023:1-5
• 
  [c106]
  Zhangying Weng,Peng Li,Xin Zhuang,Xuefeng Yan,Lina Gong,Haoran Xie,Mingqiang Wei:
  ifUNet++: Iterative Feedback UNet++ for Infrared Small Target Detection.ICASSP2023:1-5
• 
  [c105]
  Yicong Liang,Di Zou,Fu Lee Wang,Haoran Xie,Simon K. S. Cheung:
  Investigating Demographics and Behavioral Engagement Associated with Online Learning Performance.ICBL2023:124-136
• 
  [c104]
  Zilin Wang,Di Zou,Lap-Kei Lee,Haoran Xie,Fu Lee Wang:
  A Systematic Review of Generative Artificial Intelligence in Language Education.ICCE2023
• 
  [c103]
  Ying Zhao,Di Zou,Haoran Xie,Pei Liu:
  An Exploratory Study on Effects of WeChat-Assisted Self-Regulated English Writing Instruction on EFL Learners' Motivation.ICCE2023
• 
  [c102]
  Lihui Lin,Yanghui Rao,Haoran Xie,Raymond Y. K. Lau,Jian Yin,Fu Lee Wang,Qing Li:
  Copula Guided Parallel Gibbs Sampling for Nonparametric and Coherent Topic Discovery (Extended Abstract).ICDE2023:3823-3824
• 
  [c101]
  Yicong Liang,Haoran Xie,Di Zou,Fu Lee Wang:
  Investigating Student Profiles Related to Academic Learning Achievement.ICWL2023:39-48
• 
  [e7]
  Haoran Xie,Chiu-Lin Lai,Wei Chen,Guandong Xu,Elvira Popescu:
  Advances in Web-Based Learning - ICWL 2023 - 22nd International Conference, ICWL 2023, Sydney, NSW, Australia, November 26-28, 2023, Proceedings.Lecture Notes in Computer Science 14409,Springer2023, ISBN978-981-99-8384-1[contents]
• 
  [i46]
  Thanveer Shaik,Xiaohui Tao,Niall Higgins,Haoran Xie,Raj Gururajan,Xujuan Zhou:
  AI enabled RPM for Mental Health Facility.CoRRabs/2301.08828 (2023)
• 
  [i45]
  Mingqiang Wei,Yiyang Shen,Yongzhen Wang,Haoran Xie,Fu Lee Wang:
  RainDiffusion: When Unsupervised Learning Meets Diffusion Models for Real-world Image Deraining.CoRRabs/2301.09430 (2023)
• 
  [i44]
  Thanveer Shaik,Xiaohui Tao,Christopher Dann,Haoran Xie,Yan Li,Linda Galligan:
  Sentiment analysis and opinion mining on educational data: A survey.CoRRabs/2302.04359 (2023)
• 
  [i43]
  Mingqiang Wei,Qian Sun,Haoran Xie,Dong Liang,Fu Lee Wang:
  Search By Image: Deeply Exploring Beneficial Features for Beauty Product Retrieval.CoRRabs/2303.14075 (2023)
• 
  [i42]
  Thanveer Shaik,Xiaohui Tao,Haoran Xie,Lin Li,Xiaofeng Zhu,Qing Li:
  Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy.CoRRabs/2305.06360 (2023)
• 
  [i41]
  Xianming Li,Zongxi Li,Xiaotian Luo,Haoran Xie,Xing Lee,Yingbin Zhao,Fu Lee Wang,Qing Li:
  Recurrent Attention Networks for Long-text Modeling.CoRRabs/2306.06843 (2023)
• 
  [i40]
  Thanveer Shaik,Xiaohui Tao,Lin Li,Haoran Xie,Juan D. Velásquez:
  Multimodality Fusion for Smart Healthcare: a Journey from Data, Information, Knowledge to Wisdom.CoRRabs/2306.11963 (2023)
• 
  [i39]
  Thanveer Shaik,Xiaohui Tao,Haoran Xie,Lin Li,Jianming Yong,Yuefeng Li:
  Graph-enabled Reinforcement Learning for Time Series Forecasting with Adaptive Intelligence.CoRRabs/2309.10186 (2023)
• 
  [i38]
  Thanveer Shaik,Xiaohui Tao,Lin Li,Haoran Xie,Taotao Cai,Xiaofeng Zhu,Qing Li:
  FRAMU: Attention-based Machine Unlearning using Federated Reinforcement Learning.CoRRabs/2309.10283 (2023)
• 
  [i37]
  Thanveer Shaik,Xiaohui Tao,Haoran Xie,Lin Li,Juan D. Velásquez,Niall Higgins:
  QXAI: Explainable AI Framework for Quantitative Analysis in Patient Monitoring Systems.CoRRabs/2309.10293 (2023)
• 
  [i36]
  Thanveer Shaik,Xiaohui Tao,Lin Li,Haoran Xie,U. Rajendra Acharya,Raj Gururajan,Xujuan Zhou:
  PDRL: Multi-Agent based Reinforcement Learning for Predictive Monitoring.CoRRabs/2309.10576 (2023)
• 
  [i35]
  Thanveer Shaik,Xiaohui Tao,Haoran Xie,Lin Li,Jianming Yong,Hong-Ning Dai:
  AI-Driven Patient Monitoring with Multi-Agent Deep Reinforcement Learning.CoRRabs/2309.10980 (2023)
• 
  [i34]
  Zongxi Li,Xianming Li,Yuzhang Liu,Haoran Xie,Jing Li,Fu Lee Wang,Qing Li,Xiaoqin Zhong:
  Label Supervised LLaMA Finetuning.CoRRabs/2310.01208 (2023)
• 
  [i33]
  Simi Job,Xiaohui Tao,Taotao Cai,Haoran Xie,Lin Li,Jianming Yong,Qing Li:
  Exploring Causal Learning through Graph Neural Networks: An In-depth Review.CoRRabs/2311.14994 (2023)
• 
  [i32]
  Xinhong Chen,Zongxi Li,Yaowei Wang,Haoran Xie,Jianping Wang,Qing Li:
  Recognizing Conditional Causal Relationships about Emotions and Their Corresponding Conditions.CoRRabs/2311.16579 (2023)
• 
  [i31]
  Xin Li,Peng Li,Zeyong Wei,Zhe Zhu,Mingqiang Wei,Junhui Hou,Liangliang Nan,Jing Qin,Haoran Xie,Fu Lee Wang:
  Cross-BERT for Point Cloud Pretraining.CoRRabs/2312.04891 (2023)
• 
  [i30]
  Lingling Xu,Haoran Xie,Si-Zhao Joe Qin,Xiaohui Tao,Fu Lee Wang:
  Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment.CoRRabs/2312.12148 (2023)
• 
  [i29]
  Lianyu Pang,Jian Yin,Haoran Xie,Qiping Wang,Qing Li,Xudong Mao:
  Cross Initialization for Personalized Text-to-Image Generation.CoRRabs/2312.15905 (2023)
• 2022
• 
  [j128]
  Xiaohui Tao,Aaron Shannon-Honson,Patrick J. Delaney,Lin Li,Christopher Dann,Yan Li,Haoran Xie:
  Data Analytics on Online Student Engagement Data for Academic Performance Modeling.IEEE Access10:103176-103186 (2022)
• 
  [j127]
  Xieling Chen,Gary Cheng,Fu Lee Wang,Xiaohui Tao,Haoran Xie,Lingling Xu:
  Machine and cognitive intelligence for human health: systematic review.Brain Informatics9(1):5 (2022)
• 
  [j126]
  Xieling Chen,Haoran Xie,Qing Li:
  Vision, status, and topics of X Reality in Education.Comput. Educ. X Real.1:100001 (2022)
• 
  [j125]
  Chengyu Zheng,Ding Shi,Xuefeng Yan,Dong Liang,Mingqiang Wei,Xin Yang,Yanwen Guo,Haoran Xie:
  GlassNet: Label Decoupling-based Three-stream Neural Network for Robust Image Glass Detection.Comput. Graph. Forum41(1):377-388 (2022)
• 
  [j124]
  Jie Wang,Yongzhen Wang,Yidan Feng,Lina Gong,Xuefeng Yan,Haoran Xie,Fu Lee Wang,Mingqiang Wei:
  Contrastive Semantic-Guided Image Smoothing Network.Comput. Graph. Forum41(7):335-346 (2022)
• 
  [j123]
  Yiyang Shen,Yongzhen Wang,Mingqiang Wei,Honghua Chen,Haoran Xie,Gary Cheng,Fu Lee Wang:
  Semi-MoreGAN: Semi-supervised Generative Adversarial Network for Mixture of Rain Removal.Comput. Graph. Forum41(7):443-454 (2022)
• 
  [j122]
  Yongzhen Wang,Xuefeng Yan,Kaiwen Zhang,Lina Gong,Haoran Xie,Fu Lee Wang,Mingqiang Wei:
  TogetherNet: Bridging Image Restoration and Object Detection Together via Dynamic Enhancement Learning.Comput. Graph. Forum41(7):465-476 (2022)
• 
  [j121]
  Xieling Chen,Haoran Xie,Gary Cheng,Zongxi Li:
  A Decade of Sentic Computing: Topic Modeling and Bibliometric Analysis.Cogn. Comput.14(1):24-47 (2022)
• 
  [j120]
  Qing-Ke Fu,Di Zou,Haoran Xie,Gary Cheng,Gwo-Jen Hwang:
  Effects of a collaborative design approach on pre-service teachers' ability of designing for learning with a digital game.Educ. Inf. Technol.27(4):5641-5664 (2022)
• 
  [j119]
  Ruofei Zhang,Di Zou,Gary Cheng,Haoran Xie:
  Implementing technology-enhanced collaborative writing in second and foreign language learning: A review of practices, technology and challenges.Educ. Inf. Technol.27(6):8041-8069 (2022)
• 
  [j118]
  Xieling Chen,Di Zou,Haoran Xie:
  A decade of learning analytics: Structural topic modeling based bibliometric analysis.Educ. Inf. Technol.27(8):10517-10561 (2022)
• 
  [j117]
  Di Zou,Xinyi Huang,Lucas Kohnke,Xieling Chen,Gary Cheng,Haoran Xie:
  A bibliometric analysis of the trends and research topics of empirical research on TPACK.Educ. Inf. Technol.27(8):10585-10609 (2022)
• 
  [j116]
  Xieling Chen,Fu Lee Wang,Gary Cheng,Man-Kong Chow,Haoran Xie:
  Understanding Learners' Perception of MOOCs Based on Review Data Analysis Using Deep Learning and Sentiment Analysis.Future Internet14(8):218 (2022)
• 
  [j115]
  Jiaxin Chen,Zekai Wu,Zhenguo Yang,Haoran Xie,Fu Lee Wang,Wenyin Liu:
  Multimodal Fusion Network With Contrary Latent Topic Memory for Rumor Detection.IEEE Multim.29(1):104-113 (2022)
• 
  [j114]
  Xieling Chen,Di Zou,Haoran Xie,Gary Cheng,Fan Su:
  A bibliometric analysis of game-based collaborative learning between 2000 and 2019.Int. J. Mob. Learn. Organisation16(1):20-51 (2022)
• 
  [j113]
  Ruofei Zhang,Di Zou,Gary Cheng,Haoran Xie,Fu Lee Wang:
  Supportiveness of language MOOCs for self-regulated learning: a review of commercial language MOOCs on the market.Int. J. Mob. Learn. Organisation16(3):323-348 (2022)
• 
  [j112]
  Xieling Chen,Di Zou,Gary Cheng,Haoran Xie:
  Thirty years of interactive learning environments: contributors, collaborations and research topics.Int. J. Mob. Learn. Organisation16(4):447-474 (2022)
• 
  [j111]
  Wang Kay Ngai,Haoran Xie,Di Zou,Kee-Lee Chou:
  Emotion recognition based on convolutional neural networks and heterogeneous bio-signal data sources.Inf. Fusion77:107-117 (2022)
• 
  [j110]
  Hongyu Jiang,Zhiqi Lei,Yanghui Rao,Haoran Xie,Fu Lee Wang:
  Parallel dynamic topic modeling via evolving topic adjustment and term weighting scheme.Inf. Sci.585:176-193 (2022)
• 
  [j109]
  Jiachun Feng,Zusheng Zhang,Cheng Ding,Yanghui Rao,Haoran Xie,Fu Lee Wang:
  Context reinforced neural topic modeling over short texts.Inf. Sci.607:79-91 (2022)
• 
  [j108]
  Fu Lee Wang,Dingkun Zhu,Haoran Xie,Weiming Wang,Gary Cheng:
  Three-dimensional surface mesh optimization and centerline extraction of vasculatures for endovascular intervention simulation.J. Electronic Imaging31(3) (2022)
• 
  [j107]
  Dingkun Zhu,Chengyu Zheng,Weiming Wang,Haoran Xie,Gary Cheng,Fu Lee Wang,Mingqiang Wei:
  Rapid fault extraction from seismic images via deep learning.J. Electronic Imaging31(5) (2022)
• 
  [j106]
  Peng Li,Zhilei Chen,Haoran Xie,Mingqiang Wei,Fu Lee Wang,Gary Cheng:
  Interactive nonlocal joint learning network for red, green, blue plus depth salient object detection.J. Electronic Imaging31(6) (2022)
• 
  [j105]
  Thuan Pham,Xiaohui Tao,Ji Zhang,Jianming Yong,Yuefeng Li,Haoran Xie:
  Graph-based multi-label disease prediction model learning from medical data and domain knowledge.Knowl. Based Syst.235:107662 (2022)
• 
  [j104]
  Tongda Yang,Weiming Wang,Gary Cheng,Mingqiang Wei,Haoran Xie,Fu Lee Wang:
  FDDL-Net: frequency domain decomposition learning for speckle reduction in ultrasound images.Multim. Tools Appl.81(29):42769-42781 (2022)
• 
  [j103]
  Fu Lee Wang,Yuyin Lu,Gary Cheng,Haoran Xie,Yanghui Rao:
  Learning Chinese word embeddings from semantic and phonetic components.Multim. Tools Appl.81(29):42805-42820 (2022)
• 
  [j102]
  Qiping Wang,Ling Luo,Haoran Xie,Yanghui Rao,Raymond Y. K. Lau,Detian Zhang:
  A deep data augmentation framework based on generative adversarial networks.Multim. Tools Appl.81(29):42871-42887 (2022)
• 
  [j101]
  Dingkun Zhu,Sen Deng,Weiming Wang,Gary Cheng,Mingqiang Wei,Fu Lee Wang,Haoran Xie:
  HDRD-Net: High-resolution detail-recovering image deraining network.Multim. Tools Appl.81(29):42889-42906 (2022)
• 
  [j100]
  Xieling Chen,Xiaohui Tao,Fu Lee Wang,Haoran Xie:
  Global research on artificial intelligence-enhanced human electroencephalogram analysis.Neural Comput. Appl.34(14):11295-11333 (2022)
• 
  [j99]
  Xieling Chen,Haoran Xie,Xiaohui Tao:
  Vision, status, and research topics of Natural Language Processing.Nat. Lang. Process. J.1:100001 (2022)
• 
  [j98]
  Guipeng Zhang,Haoran Xie,Zhenguo Yang,Xiaohui Tao,Wenyin Liu:
  BDKM: A Blockchain-Based Secure Deduplication Scheme with Reliable Key Management.Neural Process. Lett.54(4):2657-2674 (2022)
• 
  [j97]
  Minghui Huang,Haoran Xie,Yanghui Rao,Yuwei Liu,Leonard K. M. Poon,Fu Lee Wang:
  Lexicon-Based Sentiment Convolutional Neural Networks for Online Review Analysis.IEEE Trans. Affect. Comput.13(3):1337-1348 (2022)
• 
  [j96]
  Xieling Chen,Haoran Xie,Jingjing Wang,Zongxi Li,Gary Cheng,Man Leung Wong,Fu Lee Wang:
  A Bibliometric Review of Soft Computing for Recommender Systems and Sentiment Analysis.IEEE Trans. Artif. Intell.3(5):642-656 (2022)
• 
  [j95]
  Dingkun Zhu,Honghua Chen,Weiming Wang,Haoran Xie,Gary Cheng,Mingqiang Wei,Jun Wang,Fu Lee Wang:
  Nonlocal Low-Rank Point Cloud Denoising for 3-D Measurement Surfaces.IEEE Trans. Instrum. Meas.71:1-14 (2022)
• 
  [j94]
  Lihui Lin,Yanghui Rao,Haoran Xie,Raymond Y. K. Lau,Jian Yin,Fu Lee Wang,Qing Li:
  Copula Guided Parallel Gibbs Sampling for Nonparametric and Coherent Topic Discovery.IEEE Trans. Knowl. Data Eng.34(1):219-235 (2022)
• 
  [j93]
  Han Zhang,Zongxi Li,Haoran Xie,Raymond Y. K. Lau,Gary Cheng,Qing Li,Dian Zhang:
  Leveraging statistical information in fine-grained financial sentiment analysis.World Wide Web25(2):513-531 (2022)
• 
  [c100]
  Hongwei Zhu,Peng Li,Haoran Xie,Xuefeng Yan,Dong Liang,Dapeng Chen,Mingqiang Wei,Jing Qin:
  I Can Find You! Boundary-Guided Separated Attention Network for Camouflaged Object Detection.AAAI2022:3608-3616
• 
  [c99]
  Chenxin Zou,Xiaodong Li,Pangjing Wu,Haoran Xie:
  M2R: From Mathematical Models to Resource Description Framework.APWeb/WAIM (2)2022:225-238
• 
  [c98]
  Yingying Wang,Xiaodong Li,Pangjing Wu,Haoran Xie:
  Many-to-Many Pair Trading.APWeb/WAIM (1)2022:399-407
• 
  [c97]
  Xieling Chen,Ruofei Zhang,Di Zou,Gary Cheng,Haoran Xie,Fu Lee Wang:
  Online learning research in the era of COVID-19: Bibliometric analysis and topic modeling.BESC2022:1-8
• 
  [c96]
  Zongxi Li,Haoran Xie,Fu Lee Wang,Weiming Wang,Man-Kong Chow:
  Identify Students at Risk Based on Behavioural Patterns in Continuous Assessment.BESC2022:1-6
• 
  [c95]
  Yiyang Shen,Yidan Feng,Weiming Wang,Dong Liang,Jing Qin,Haoran Xie,Mingqiang Wei:
  MBA-RainGAN: A Multi-Branch Attention Generative Adversarial Network for Mixture of Rain Removal.ICASSP2022:3418-3422
• 
  [c94]
  Zongxi Li,Haoran Xie,Minhong Wang,Bian Wu,Yiling Hu:
  Automatic Coding of Collective Creativity Dialogues in Collaborative Problem Solving Based on Deep Learning Models.ICBL2022:123-134
• 
  [c93]
  Di Zou,Haoran Xie,Fu Lee Wang:
  Effects of Scaffolded Peer Assessment on Students' Holistic Critical Thinking in Academic Writing.ICBL2022:147-156
• 
  [c92]
  Xieling Chen,Di Zou,Gary Cheng,Haoran Xie:
  Understanding Classroom Interaction Using Epistemic and Social Network Analysis.ICBL2022:157-167
• 
  [c91]
  Haoran Xie,Xinyi Huang,Gary Cheng,Fu Lee Wang,James Chit Ming Chong:
  Flipped Data Science Classrooms with Peer Instruction and Just-In-Time Teaching: Students' Perceptions and Learning Experiences.ICWL2022:395-402
• 
  [c90]
  Bishenghui Tao,Hong-Ning Dai,Haoran Xie,Fu Lee Wang:
  Structural Identity Representation Learning of Blockchain Transaction Network for Metaverse.MMSP2022:1-6
• 
  [c89]
  Thanveer Shaik,Xiaohui Tao,Niall Higgins,Haoran Xie,Raj Gururajan,Xujuan Zhou:
  AI enabled RPM for mental health facility.MWSSH@MobiCom2022:26-32
• 
  [c88]
  Shuang Geng,Gemin Liang,Yuqin He,Liezhen Duan,Haoran Xie,Xi Song:
  Swarm Enhanced Attentive Mechanism for Sequential Recommendation.ICSI (1)2022:442-453
• 
  [i28]
  Fu Lee Wang,Yidan Feng,Haoran Xie,Gary Cheng,Mingqiang Wei:
  When A Conventional Filter Meets Deep Learning: Basis Composition Learning on Image Filters.CoRRabs/2203.00258 (2022)
• 
  [i27]
  Haoran Zhou,Honghua Chen,Yingkui Zhang,Mingqiang Wei,Haoran Xie,Jun Wang,Tong Lu,Jing Qin,Xiao-Ping Zhang:
  Refine-Net: Normal Refinement Neural Network for Noisy Point Clouds.CoRRabs/2203.12514 (2022)
• 
  [i26]
  Yiyang Shen,Sen Deng,Wenhan Yang,Mingqiang Wei,Haoran Xie,Xiao-Ping Zhang,Jing Qin,Meng Wang:
  Semi-DRDNet Semi-supervised Detail-recovery Image Deraining Network via Unpaired Contrastive Learning.CoRRabs/2204.02772 (2022)
• 
  [i25]
  Yiyang Shen,Yongzhen Wang,Mingqiang Wei,Honghua Chen,Haoran Xie,Gary Cheng,Fu Lee Wang:
  Semi-MoreGAN: A New Semi-supervised Generative Adversarial Network for Mixture of Rain Removal.CoRRabs/2204.13420 (2022)
• 
  [i24]
  Yongzhen Wang,Xuefeng Yan,Fu Lee Wang,Haoran Xie,Wenhan Yang,Mingqiang Wei,Jing Qin:
  UCL-Dehaze: Towards Real-world Image Dehazing via Unsupervised Contrastive Learning.CoRRabs/2205.01871 (2022)
• 
  [i23]
  Qiqi Ding,Peng Li,Xuefeng Yan,Ding Shi,Luming Liang,Weiming Wang,Haoran Xie,Jonathan Li,Mingqiang Wei:
  CF-YOLO: Cross Fusion YOLO for Object Detection in Adverse Weather with a High-quality Real Snow Dataset.CoRRabs/2206.01381 (2022)
• 
  [i22]
  Baian Chen,Zhilei Chen,Xiaowei Hu,Jun Xu,Haoran Xie,Mingqiang Wei,Jing Qin:
  Dynamic Message Propagation Network for RGB-D Salient Object Detection.CoRRabs/2206.09552 (2022)
• 
  [i21]
  Chen Chen,Yisen Wang,Honghua Chen,Xuefeng Yan,Dayong Ren,Yanwen Guo,Haoran Xie,Fu Lee Wang,Mingqiang Wei:
  GeoSegNet: Point Cloud Semantic Segmentation via Geometric Encoder-Decoder Modeling.CoRRabs/2207.06766 (2022)
• 
  [i20]
  Zhe Zhu,Liangliang Nan,Haoran Xie,Honghua Chen,Mingqiang Wei,Jun Wang,Jing Qin:
  CSDN: Cross-modal Shape-transfer Dual-refinement Network for Point Cloud Completion.CoRRabs/2208.00751 (2022)
• 
  [i19]
  Peng Wu,Lipeng Gu,Xuefeng Yan,Haoran Xie,Fu Lee Wang,Gary Cheng,Mingqiang Wei:
  PV-RCNN++: Semantical Point-Voxel Feature Interaction for 3D Object Detection.CoRRabs/2208.13414 (2022)
• 
  [i18]
  Baian Chen,Liangliang Nan,Haoran Xie,Dening Lu,Fu Lee Wang,Mingqiang Wei:
  3DLG-Detector: 3D Object Detection via Simultaneous Local-Global Feature Learning.CoRRabs/2208.14796 (2022)
• 
  [i17]
  Jie Wang,Yongzhen Wang,Yidan Feng,Lina Gong,Xuefeng Yan,Haoran Xie,Fu Lee Wang,Mingqiang Wei:
  Contrastive Semantic-Guided Image Smoothing Network.CoRRabs/2209.00977 (2022)
• 
  [i16]
  Yongzhen Wang,Xuefeng Yan,Kaiwen Zhang,Lina Gong,Haoran Xie,Fu Lee Wang,Mingqiang Wei:
  TogetherNet: Bridging Image Restoration and Object Detection Together via Dynamic Enhancement Learning.CoRRabs/2209.01373 (2022)
• 
  [i15]
  Zhaowei Chen,Peng Li,Zeyong Wei,Honghua Chen,Haoran Xie,Mingqiang Wei,Fu Lee Wang:
  GeoGCN: Geometric Dual-domain Graph Convolution Network for Point Cloud Denoising.CoRRabs/2210.15913 (2022)
• 
  [i14]
  Zhiheng Hu,Yongzhen Wang,Peng Li,Jie Qin,Haoran Xie,Mingqiang Wei:
  iSmallNet: Densely Nested Network with Label Decoupling for Infrared Small Target Detection.CoRRabs/2210.16561 (2022)
• 
  [i13]
  Lipeng Gu,Xuefeng Yan,Peng Cui,Lina Gong,Haoran Xie,Fu Lee Wang,Jin Qin,Mingqiang Wei:
  PointSee: Image Enhances Point Cloud.CoRRabs/2211.01664 (2022)
• 
  [i12]
  Yiyang Shen,Rongwei Yu,Peng Wu,Haoran Xie,Lina Gong,Jing Qin,Mingqiang Wei:
  ImLiDAR: Cross-Sensor Dynamic Message Propagation Network for 3D Object Detection.CoRRabs/2211.09518 (2022)
• 
  [i11]
  Xudong Kang,Haoran Xie,Man-Leung Wong,Jing Qin:
  Rethinking Generative Methods for Image Restoration in Physics-based Vision: A Theoretical Analysis from the Perspective of Information.CoRRabs/2212.02198 (2022)
• 2021
• 
  [j92]
  Debby Dan Wang,Haoran Xie,Hong Yan:
  Proteo-chemometrics interaction fingerprints of protein-ligand complexes predict binding affinity.Bioinform.37(17):2570-2579 (2021)
• 
  [j91]
  Jingjing Wang,Haoran Xie,Fu Lee Wang,Lap-Kei Lee,Oliver Tat Sheung Au:
  Top-N personalized recommendation with graph neural networks in MOOCs.Comput. Educ. Artif. Intell.2:100010 (2021)
• 
  [j90]
  Qinjuan Yang,Haoran Xie,Gary Cheng,Fu Lee Wang,Yanghui Rao:
  Pronunciation-Enhanced Chinese Word Embedding.Cogn. Comput.13(3):688-697 (2021)
• 
  [j89]
  Xieling Chen,Gary Cheng,Haoran Xie,Guanliang Chen,Di Zou:
  Understanding MOOC Reviews: Text Mining using Structural Topic Model.Hum. Centric Intell. Syst.1(3-4):55 (2021)
• 
  [j88]
  Xieling Chen,Haoran Xie,Zongxi Li,Gary Cheng:
  Topic analysis and development in knowledge graph research: A bibliometric review on three decades.Neurocomputing461:497-515 (2021)
• 
  [j87]
  Di Zou,Minhong Wang,Haoran Xie,Gary Cheng,Fu Lee Wang,Lap-Kei Lee:
  A comparative study on linguistic theories for modeling EFL learners: facilitating personalized vocabulary learning via task recommendations.Interact. Learn. Environ.29(2):270-282 (2021)
• 
  [j86]
  Guipeng Zhang,Zhenguo Yang,Haoran Xie,Wenyin Liu:
  A secure authorized deduplication scheme for cloud data based on blockchain.Inf. Process. Manag.58(3):102510 (2021)
• 
  [j85]
  Tao Wang,Yi Cai,Ho-fung Leung,Raymond Y. K. Lau,Haoran Xie,Qing Li:
  On entropy-based term weighting schemes for text categorization.Knowl. Inf. Syst.63(9):2313-2346 (2021)
• 
  [j84]
  Xiaorui Qin,Yufu Chen,Yanghui Rao,Haoran Xie,Man Leung Wong,Fu Lee Wang:
  A constrained optimization approach for cross-domain emotion distribution learning.Knowl. Based Syst.227:107160 (2021)
• 
  [j83]
  Zongxi Li,Haoran Xie,Gary Cheng,Qing Li:
  Word-level emotion distribution with two schemas for short text emotion classification.Knowl. Based Syst.227:107163 (2021)
• 
  [j82]
  Xiaodong Li,Pangjing Wu,Chenxin Zou,Haoran Xie,Fu Lee Wang:
  Sentiment Lossless Summarization.Knowl. Based Syst.227:107170 (2021)
• 
  [j81]
  Xieling Chen,Xinxin Zhang,Haoran Xie,Xiaohui Tao,Fu Lee Wang,Nengfu Xie,Tianyong Hao:
  A bibliometric and visual analysis of artificial intelligence technologies-enhanced brain MRI research.Multim. Tools Appl.80(11):17335-17363 (2021)
• 
  [j80]
  Qi Peng,Changmeng Zheng,Yi Cai,Tao Wang,Haoran Xie,Qing Li:
  Unsupervised cross-domain named entity recognition using entity-aware adversarial training.Neural Networks138:68-77 (2021)
• 
  [j79]
  Xiaorui Qin,Yanghui Rao,Haoran Xie,Jiahai Wang,Fu Lee Wang:
  TACN: A Topical Adversarial Capsule Network for textual network embedding.Neural Networks144:766-777 (2021)
• 
  [j78]
  Zhenguo Yang,Qing Li,Haoran Xie,Qi Wang,Wenyin Liu:
  Learning representation from multiple media domains for enhanced event discovery.Pattern Recognit.110:107640 (2021)
• 
  [j77]
  Zongxi Li,Haoran Xie,Guandong Xu,Qing Li,Mingming Leng,Chi Zhou:
  Towards purchase prediction: A transaction-based setting and a graph-based method leveraging price information.Pattern Recognit.113:107824 (2021)
• 
  [j76]
  Liansheng Wang,Rongzhen Chen,Lei Zhu,Haoran Xie,Xiaomeng Li:
  Deep Sub-Region Network for Salient Object Detection.IEEE Trans. Circuits Syst. Video Technol.31(2):728-741 (2021)
• 
  [j75]
  Lei Zhu,Zijun Deng,Xiaowei Hu,Haoran Xie,Xuemiao Xu,Jing Qin,Pheng-Ann Heng:
  Learning Gated Non-Local Residual for Single-Image Rain Streak Removal.IEEE Trans. Circuits Syst. Video Technol.31(6):2147-2159 (2021)
• 
  [j74]
  Jianhui Pang,Yanghui Rao,Haoran Xie,Xizhao Wang,Fu Lee Wang,Tak-Lam Wong,Qing Li:
  Fast Supervised Topic Models for Short Text Emotion Detection.IEEE Trans. Cybern.51(2):815-828 (2021)
• 
  [j73]
  Dingkun Zhu,Yingkui Zhang,Zhiqi Li,Weiming Wang,Haoran Xie,Mingqiang Wei,Gary Cheng,Fu Lee Wang:
  Cascaded Normal Filtering Neural Network for Geometry-Aware Mesh Denoising of Measurement Surfaces.IEEE Trans. Instrum. Meas.70:1-13 (2021)
• 
  [j72]
  Zongxi Li,Xinhong Chen,Haoran Xie,Qing Li,Xiaohui Tao,Gary Cheng:
  EmoChannel-SA: exploring emotional dependency towards classification task with self-attention mechanism.World Wide Web24(6):2049-2070 (2021)
• 
  [j71]
  Ziye Chen,Cheng Ding,Yanghui Rao,Haoran Xie,Xiaohui Tao,Gary Cheng,Fu Lee Wang:
  Hierarchical neural topic modeling with manifold regularization.World Wide Web24(6):2139-2160 (2021)
• 
  [c87]
  Xianming Li,Zongxi Li,Haoran Xie,Qing Li:
  Merging Statistical Feature via Adaptive Gate for Improved Text Classification.AAAI2021:13288-13296
• 
  [c86]
  Qi Peng,Changmeng Zheng,Yi Cai,Tao Wang,Haoran Xie,Qing Li:
  An Entity-Aware Adversarial Domain Adaptation Network for Cross-Domain Named Entity Recognition (Student Abstract).AAAI2021:15865-15866
• 
  [c85]
  Ziye Chen,Cheng Ding,Zusheng Zhang,Yanghui Rao,Haoran Xie:
  Tree-Structured Topic Modeling with Nonparametric Neural Variational Inference.ACL/IJCNLP (1)2021:2343-2353
• 
  [c84]
  Shurui Chen,Yufu Chen,Yuyin Lu,Yanghui Rao,Haoran Xie,Qing Li:
  Chinese Word Embedding Learning with Limited Data.APWeb/WAIM (1)2021:211-226
• 
  [c83]
  Xieling Chen,Di Zou,Gary Cheng,Haoran Xie:
  Artificial intelligence-assisted personalized language learning: systematic review and co-citation analysis.ICALT2021:241-245
• 
  [c82]
  Di Zou,Haoran Xie,Fu Lee Wang:
  Peer-Assessment Enhanced Collaborative Learning in a Virtual Learning Environment.ICBL2021:132-141
• 
  [c81]
  Caixia Liu,Di Zou,Wai Hong Chan,Haoran Xie,Fu Lee Wang:
  An Assessment Framework for Online Active Learning Performance.ICBL2021:338-350
• 
  [c80]
  Jiaxin Chen,Zekai Wu,Zhenguo Yang,Haoran Xie,Fu Lee Wang,Wenyin Liu:
  Multimodal Fusion Network with Latent Topic Memory for Rumor Detection.ICME2021:1-6
• 
  [c79]
  Sen Deng,Yidan Feng,Mingqiang Wei,Haoran Xie,Yiping Chen,Jonathan Li,Xiao-Ping Zhang,Jing Qin:
  Direction-aware Feature-level Frequency Decomposition for Single Image Deraining.IJCAI2021:650-656
• 
  [c78]
  Xieling Chen,Di Zou,Haoran Xie,Gary Cheng:
  Systematic Evaluation of Research Progress on Technology-Enhanced Language Learning: Content Analysis and Knowledge Mapping.SETE2021:334-343
• 
  [c77]
  Zongxi Li,Xianming Li,Haoran Xie,Qing Li,Xiaohui Tao:
  A Label Extension Schema for Improved Text Emotion Classification.WI/IAT2021:32-39
• 
  [c76]
  Zekai Wu,Jiaxin Chen,Zhenguo Yang,Haoran Xie,Fu Lee Wang,Wenyin Liu:
  Cross-modal Attention Network with Orthogonal Latent Memory for Rumor Detection.WISE (1)2021:527-541
• 
  [i10]
  Sen Deng,Yidan Feng,Mingqiang Wei,Haoran Xie,Yiping Chen,Jonathan Li,Xiao-Ping Zhang,Jing Qin:
  Direction-aware Feature-level Frequency Decomposition for Single Image Deraining.CoRRabs/2106.07941 (2021)
• 
  [i9]
  Chengyu Zheng,Ding Shi,Xuefeng Yan,Dong Liang,Mingqiang Wei,Xin Yang,Yanwen Guo,Haoran Xie:
  GlassNet: Label Decoupling-based Three-stream Neural Network for Robust Image Glass Detection.CoRRabs/2108.11117 (2021)
• 2020
• 
  [j70]
  Xiong Zhang,Haoran Xie,Hao Yang,Hongkai Shao,Minghao Zhu:
  A General Framework to Understand Vulnerabilities in Information Systems.IEEE Access8:121858-121873 (2020)
• 
  [j69]
  Xieling Chen,Di Zou,Haoran Xie:
  Fifty years of British Journal of Educational Technology: A topic modeling based bibliometric perspective.Br. J. Educ. Technol.51(3):692-708 (2020)
• 
  [j68]
  Morris Siu-Yung Jong,Chin-Chung Tsai,Haoran Xie,Frankie Kwan Kit Wong:
  Integrating interactive learner-immersed video-based virtual reality into learning and teaching of physical geography.Br. J. Educ. Technol.51(6):2063-2078 (2020)
• 
  [j67]
  Gwo-Jen Hwang,Haoran Xie,Benjamin W. Wah,Dragan Gasevic:
  Vision, challenges, roles and research issues of Artificial Intelligence in Education.Comput. Educ. Artif. Intell.1:100001 (2020)
• 
  [j66]
  Xieling Chen,Haoran Xie,Di Zou,Gwo-Jen Hwang:
  Application and theory gaps during the rise of Artificial Intelligence in Education.Comput. Educ. Artif. Intell.1:100002 (2020)
• 
  [j65]
  Xieling Chen,Haoran Xie,Gwo-Jen Hwang:
  A multi-perspective study on Artificial Intelligence in Education: grants, conferences, journals, software tools, institutions, and researchers.Comput. Educ. Artif. Intell.1:100005 (2020)
• 
  [j64]
  Xieling Chen,Di Zou,Gary Cheng,Haoran Xie:
  Detecting latent topics and trends in educational technologies over four decades using structural topic modeling: A retrospective of all volumes ofComputers & Education.Comput. Educ.151:103855 (2020)
• 
  [j63]
  Mingqiang Wei,Zhan Song,Y. Nie,Jianhuang Wu,Zhongping Ji,Yanwen Guo,Haoran Xie,Jun Wang,Fu Lee Wang:
  Normal-Based Bas-Relief Modelling via Near-Lighting Photometric Stereo.Comput. Graph. Forum39(1):204-219 (2020)
• 
  [j62]
  Xieling Chen,Haoran Xie:
  A Structural Topic Modeling-Based Bibliometric Study of Sentiment Analysis Literature.Cogn. Comput.12(6):1097-1129 (2020)
• 
  [j61]
  Tingting Li,Di Zou,Xiaojing Weng,Minhong Wang,Haoran Xie,Fu Lee Wang:
  Acceptance and implications of smartphones for informal language learning in foreign study tours.Int. J. Mob. Learn. Organisation14(4):456-477 (2020)
• 
  [j60]
  Minghui Huang,Haoran Xie,Yanghui Rao,Jingrong Feng,Fu Lee Wang:
  Sentiment strength detection with a context-dependent lexicon-based convolutional neural network.Inf. Sci.520:389-399 (2020)
• 
  [j59]
  An Liu,Xindi Shen,Haoran Xie,Zhixu Li,Guanfeng Liu,Jia-Jie Xu,Lei Zhao,Fu Lee Wang:
  Privacy-preserving shared collaborative web services QoS prediction.J. Intell. Inf. Syst.54(1):205-224 (2020)
• 
  [j58]
  Zhaoqing Pan,Weijie Yu,Bosi Wang,Haoran Xie,Victor S. Sheng,Jianjun Lei,Sam Kwong:
  Loss Functions of Generative Adversarial Networks (GANs): Opportunities and Challenges.IEEE Trans. Emerg. Top. Comput. Intell.4(4):500-522 (2020)
• 
  [j57]
  Xiaohui Tao,Haoran Xie,Yongrui (Louie) Qin,Xujuan Zhou,Yi Cai:
  Knowledge discovery and management on online social networks and media.Web Intell.18(3):179-180 (2020)
• 
  [j56]
  Jiachun Feng,Yanghui Rao,Haoran Xie,Fu Lee Wang,Qing Li:
  User group based emotion detection and topic discovery over short text.World Wide Web23(3):1553-1587 (2020)
• 
  [j55]
  Xiaorui Qin,Yanghui Rao,Haoran Xie,Jian Yin,Fu Lee Wang:
  Extractive convolutional adversarial networks for network embedding.World Wide Web23(3):1925-1944 (2020)
• 
  [j54]
  Haotian Xu,Haiyun Peng,Haoran Xie,Erik Cambria,Liuyang Zhou,Weiguo Zheng:
  End-to-End latent-variable task-oriented dialogue system with exact log-likelihood optimization.World Wide Web23(3):1989-2002 (2020)
• 
  [c75]
  Jiemin Wu,Yanghui Rao,Zusheng Zhang,Haoran Xie,Qing Li,Fu Lee Wang,Ziye Chen:
  Neural Mixed Counting Models for Dispersed Topic Discovery.ACL2020:6159-6169
• 
  [c74]
  Jionghao Lin,David Lang,Haoran Xie,Dragan Gasevic,Guanliang Chen:
  Investigating the Role of Politeness in Human-Human Online Tutoring.AIED (2)2020:174-179
• 
  [c73]
  Haoran Zhou,Honghua Chen,Yidan Feng,Qiong Wang,Jing Qin,Haoran Xie,Fu Lee Wang,Mingqiang Wei,Jun Wang:
  Geometry and Learning Co-Supported Normal Estimation for Unstructured Point Cloud.CVPR2020:13235-13244
• 
  [c72]
  Sen Deng,Mingqiang Wei,Jun Wang,Yidan Feng,Luming Liang,Haoran Xie,Fu Lee Wang,Meng Wang:
  Detail-recovery Image Deraining via Context Aggregation Networks.CVPR2020:14548-14557
• 
  [c71]
  Xieling Chen,Di Zou,Haoran Xie,Gary Cheng:
  What Are MOOCs Learners' Concerns? Text Analysis of Reviews for Computer Science Courses.DASFAA (Workshops)2020:73-79
• 
  [c70]
  Xieling Chen,Di Zou,Gary Cheng,Haoran Xie,Fu Lee Wang,Leung Pun Wong:
  Core Research Topics of Studies on Personalized Feedback in the Past Four Decades.DASFAA (Workshops)2020:121-130
• 
  [c69]
  Xieling Chen,Di Zou,Haoran Xie,Fu Lee Wang:
  Smart Learning Environments: A Bibliometric Analysis.ICBL2020:353-364
• 
  [c68]
  Morris Siu-Yung Jong,Chin-Chung Tsai,Haoran Xie,Frankie Kwan Kit Wong,Vincent Wai-Leuk Tam,Xiaohua Zhou,Mengyuen Chen:
  Problems in Educational Use of Spherical Video-based Immersive Virtual Reality in Practice: The LIVIE Experience.ICCE2020
• 
  [c67]
  Song Xie,Jingjing Cao,Zhou Wu,Kai Liu,Xiaohui Tao,Haoran Xie:
  Sentiment Analysis of Chinese E-commerce Reviews Based on BERT.INDIN2020:713-718
• 
  [c66]
  Zongxi Li,Xinhong Chen,Haoran Xie,Qing Li,Xiaohui Tao:
  EmoChannelAttn: Exploring Emotional Construction Towards Multi-Class Emotion Classification.WI/IAT2020:242-249
• 
  [e6]
  Fu Lee Wang,Haoran Xie,Wai Lam,Aixin Sun,Lun-Wei Ku,Tianyong Hao,Wei Chen,Tak-Lam Wong,Xiaohui Tao:
  Information Retrieval Technology - 15th Asia Information Retrieval Societies Conference, AIRS 2019, Hong Kong, November 7-9, 2019, Proceedings.Lecture Notes in Computer Science 12004,Springer2020, ISBN978-3-030-42834-1[contents]
• 
  [e5]
  Elvira Popescu,Tianyong Hao,Ting-Chia Hsu,Haoran Xie,Marco Temperini,Wei Chen:
  Emerging Technologies for Education - 4th International Symposium, SETE@ICWL 2019, Magdeburg, Germany, September 23-25, 2019, Revised Selected Papers.Lecture Notes in Computer Science 11984,Springer2020, ISBN978-3-030-38777-8[contents]
• 
  [i8]
  Xianming Li,Zongxi Li,Yingbin Zhao,Haoran Xie,Qing Li:
  Incorporating Effective Global Information via Adaptive Gate Attention for Text Classification.CoRRabs/2002.09673 (2020)
• 
  [i7]
  Yiyang Shen,Yidan Feng,Sen Deng,Dong Liang,Jing Qin,Haoran Xie,Mingqiang Wei:
  MBA-RainGAN: Multi-branch Attention Generative Adversarial Network for Mixture of Rain Removal from Single Images.CoRRabs/2005.10582 (2020)
• 
  [i6]
  Leonard K. M. Poon,Nevin L. Zhang,Haoran Xie,Gary Cheng:
  Handling Collocations in Hierarchical Latent Tree Analysis for Topic Modeling.CoRRabs/2007.05163 (2020)
• 
  [i5]
  Jiachun Feng,Zusheng Zhang,Cheng Ding,Yanghui Rao,Haoran Xie:
  Context Reinforced Neural Topic Modeling over Short Texts.CoRRabs/2008.04545 (2020)