Portrait of Qi Chen

Qi Chen

Principal Researcher

All Publications

  1. Q. Chen, X. Geng, C. Rosset, C. Buractaon, J. Lu, T. Shen, K. Zhou, C. Xiong, Y. Gong, P. Bennett, N. Craswell, X. Xie, F. Yang, B. Tower, N. Rao, …, and Zhang, C. “MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels”. ACM on Web Conference 2024.
  2. Y. Chen, R. Zheng, Q. Chen*, S. Xu, Q. Zhang, X. Wu, W. Han, H. Yuan, M. Li, Y. Wang, J. Li, F. Yang, H. Sun, W. Deng, F. Sun, Q.Zhang, and M. Yang. “OneSparse: A Unified System for Multi-index Vector Search”. ACM Web Conference 2024. Oral Presentation.
  3. H. Zhang, Y. Wang, Q. Chen, R. Chang, T. Zhang, Z. Miao, Y. Hou, Y. Ding, X. Miao, H. Wang, B. Pang, Y. Zhan, H. Sun, W. Deng, Q. Zhang, F. Yang, X. Xie, M. Yang, and B. Cui. “Model-enhanced Vector Index”. NeurIPS 2023.
  4. Y. Xu, H. Liang, J. Li, S. Xu, Q. Chen*, Q. Zhang, C. Li*, Z. Yang, F. Yang, Y. Yang, P. Cheng, M. Yang.  “SPFresh: Incremental In-Place Update for Billion-Scale Vector Search”. ACM SOSP 2023.
  5. X. Tang, Y. Wang, T. Cao, L. Zhang, Q. Chen, D. Cai, Y. Liu and M. Yang. “LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup”. ACM MobiCom 2023.
  6. Q. Zhang, S. Xu, Q. Chen*, G. Sui, J. Xie, Z. Cai, Y. Chen, Y. He, Y. Yang, F. Yang and M. Yang. “VBASE: Unifying Online Vector Similarity Search and Relational Queries via Relaxed Monotonicity”. USENIX OSDI 2023.
  7. Z. Qiu, J. Yang, J. Zhang, C. Li, X. Ma, Q. Chen, M. Yang. and Y. Xu. “FrozenHot Cache: Rethinking Cache Management for Modern Hardware”. EuroSys 2023.
  8. Y. Wang, Y. Hou, H. Wang, Z. Miao, S. Wu, H. Sun, Q. Chen, Y. Xia, C. Chi, G. Zhao, Z. Liu, X. Xie, H. Sun, W. Deng, Q. Zhang, M. Yang. “A Neural Corpus Indexer for Document Retrieval”. NeurIPS 2022. Outstanding Paper Award.
  9. S. Xiao, Z. Liu, W. Han, J. Zhang, D. Lian, Y. Gong, Q. Chen, F. Yang, H. Sun, Y. Shao, D. Deng, Q. Zhang, and X. Xie, “Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings”. ACM SIGIR, 2022.
  10. Y. Wang, L. Xiong, M. Zhang, H. Xue, Q. Chen, Y. Yang, Y. Tong, C. Huang, and B. Xu, “Heat-RL: Online Model Selection for Streaming Time-Series Anomaly Detection”.CoLLAs, 2022.
  11. H. Simhadri, G. Williams, M. Aumüller, M. Douze, A. Babenko, D. Baranchuk, Q. Chen, L. Hosseini, R. Krishnaswamny, G. Srinivasa, S. Subramanya, and J. Wang, “Results of the NeurIPS’21 Challenge on Billion-Scale Approximate Nearest Neighbor Search”. Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, PMLR 176:177-189.
  12. Q. Chen, B. Zhao, H. Wang, M. Li, Z. Li, M. Yang, and J. Wang, “SPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search”. NeurIPS, 2021. Spotlight Presentation.
  13. X. Shan, C. Liu, Y. Xia, Q. Chen, Y. Zhang, K. Ding, Y. Liang, A. Luo, and Y. Luo, “GLOW: Global Weighted Self-Attention Network for Web Search”. IEEE International Conference on Big Data, 2021. 
  14. Z. Luo, L. Zhao, W. Cheng, S. Chen, Q. Chen, H. Xue, H. Wang, C. Liu, M. Yang, and L. Zhang, “Match Plan Generation in Web Search with Parameterized Action Reinforcement Learning”. WWW, 2021.
  15. Y. Zhang, S. Setty, Q. Chen, L. Zhou and L. Alvisi, “Byzantine ordered consensus without Byzantine oligarchy”. USENIX OSDI, 2020. Jay Lepreau Best Paper Award.
  16. C. Liang, H. Xue, M. Yang, L. Zhou, L. Zhu, Z. Li, Z. Wang, Q. Chen, and Q. Zhang, “AutoSys: The Design and Operation of Learning-Augmented Systems”. USENIX ATC, 2020.
  17. L. Sha, C. Shi, Q. Chen, L. Zhang and H. Wang, “Estimating Minimum Operation Steps via Memory-based Recurrent Calculation Network“, IJCNN, 2020.
  18. Y. Lu, Y. Shu, X. Tan, Y. Liu, M. Zhou, Q. Chen, and D. Pei, “Collaborative Learning of Human Behavior: An Empirical Study on Location Prediction”, Proc.of the 4th ACM/IEEE Symposium on Edge Computing(SEC), 2019.
  19. C. Shi, Q. Chen, L. Sha, H. Xue, S. Li, H. Wang and L. Zhang. “We Know What You Will Ask: A Dialogue System for Multi-Intent Switch and Prediction”. NLPCC, 2019.
  20. C. Shi, Q. Chen, L. Sha, S. Li, X. Sun, H. Wang, and L. Zhang, “Auto-dialabel: Labeling dialogue data with unsupervised learning”. Proc. of the 2018 conference on empirical methods in natural language processing (EMNLP), 2018.
  21. H. Liu, Z. Huang, Q. Chen, M. Li, Y. Fu, and L. Zhang, “Fast Clustering with Flexible Balance Constraints”. IEEE International Conference on Big Data, 2018.
  22. Q. Chen, J. Yao, and Z. Xiao, “PISCES: Optimizing Multi-job Application Execution in MapReduce”. IEEE Transactions on Cloud Computing (TCC), 2016.
  23. W. Song, T. Gkountouvas, K. Birman, Q. Chen, and Z. Xiao, “The Freeze-Frame File System”. Proc. of the ACM Symposium on Cloud Computing (SoCC), 2016.
  24. C. Huang, Q. Chen, Z. Wang, R. Power, J. Ortiz, J. Li, and Z. Xiao, “Spartan: A distributed Array Framework with Smart Tiling”. USENIX ATC, 2015.
  25. Q. Chen, J. Yao, and Z. Xiao, “LIBRA: Lightweight Data Skew Mitigation in MapReduce”. IEEE Transactions on Parallel and Distributed Systems (TPDS), 2015.
  26. Q. Chen, Y. Liao, C. Mitchell, J. Li, and Z. Xiao, “Building Scalable Multimedia Search Engine Using Infiniband”. USENIX HotCloud, 2014.
  27. Q. Chen, C. Liu, and Z. Xiao, “Improving MapReduce Performance Using Smart Speculative Execution Strategy”. IEEE Transactions on Computers (TC), 2014.
  28. Z. Xiao, Q. Chen, and H. Luo, “Automatic Scaling of Internet Applications for Cloud Computing Services”. IEEE Transactions on Computers (TC), 2014.
  29. W. Song, Z. Xiao, Q. Chen, and H. Luo, “Adaptive Resource Provisioning for the Cloud Using Online Bin Packing”. IEEE Transactions on Computers (TC), 2014.
  30. Z. Xiao, W. Song, and Q. Chen, “Dynamic Resource Allocation using Virtual Machines for Cloud Computing Environment”. IEEE Transactions on Parallel and Distributed Systems (TPDS), 2013.