• 🌱 I’m a third-year PhD student atTsinghua IR Group supervised by Prof. Shaoping Ma andProf. Yiqun Liu.
• 🔭 My research lies in Information Retrieval and Web Search. I currently focus on Dense Retrieval with a wide interest in improving its effectiveness, efficiency, and interpretability. The publications are available at myhomepage.
• 📫 Contact me viajingtaozhan@gmail.com ortwitter.

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1. IntelligenceTestIntelligenceTestPublic

   An evaluation framework to test AI in a trial-and-error process. It is a simplified Natural Selection test.

   Jupyter Notebook 21

2. disentangled-retrieverdisentangled-retrieverPublic

   An easy-to-use python toolkit for flexibly adapting various neural ranking models to target domain.

   Python 60 5

3. RepCONCRepCONCPublic

   WSDM'22 Best Paper: Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval

   Python 120 12

4. JPQJPQPublic

   CIKM'21: JPQ substantially improves the efficiency of Dense Retrieval with 30x compression ratio, 10x CPU speedup and 2x GPU speedup.

   Python 52 11

5. DRhardDRhardPublic

   SIGIR'21: Optimizing DR with hard negatives and achieving SOTA first-stage retrieval performance on TREC DL Track.

   Python 128 15

6. bert-ranking-analysisbert-ranking-analysisPublic

   SIGIR'20: An Analysis of BERT in Document Ranking

   Python 21 4