Publications List

Advanced Filter Structure Handbook

📚 New Book

Advanced Filter Structure Handbook: From Design to Optimization

Authors: Haipeng Dai, Meng Li, Guihai Chen

Publisher: Springer Singapore, 2026

This book provides a comprehensive guide to understanding and implementing advanced data filters, from traditional Bloom filters to cutting-edge innovations like Ribbon Filter, Bamboo Filter, and SNARF. It systematically explores read-only filters, space-elastic filters, streaming filters, and range filters, offering detailed insights into design principles and implementation methods.

🔗 View on Springer →

2027

  1. [VLDB'27] Zhipeng Chen, Meng Li, Hancheng Wang, Junhan Lv, Haipeng Dai and Siqiang Luo. “Replace or Augment: Rethinking the Role of Learned Indexes in Relational Databases”. In Proceedings of the 53rd International Conference on Very Large Data Bases (VLDB, CCF-A), Athens, Greece, Aug 23-27, 2027. (*Corresponding Author*)

2026

  1. [ISCA'26] Guoying Zhu, Meng Li, Haipeng Dai, Xuechen Liu, Weijun Wang, Keran Li, Jun Xiao, Ligeng Chen and Wei Wang. “SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution”. In Proceedings of the 53rd Annual International Symposium on Computer Architecture (ISCA, CCF-A), Raleigh, USA, June 27-July 1, 2026. (*Corresponding Author*)

  2. [ICDE'26] Shizhe Liu, Haipeng Dai, Meng Li, Yuemeng Zhang, Shaoxu Song, Zhifeng Bao, Hancheng Wang, Xiaofeng Gao and Guihai Chen. “When Complex Event Recognition Meets Cloud-Native Architectures”. In Proceedings of the 42nd IEEE International Conference on Data Engineering (ICDE, CCF-A), Montréal, Canada, May 4-8, 2026.

  3. [APNet'26 Poster] Meng Li, Siyuan Tong, Mingxin Li, Qingkai Meng, Xiaoliang Wang, Haipeng Dai. “Rethinking MoE Routing for Commodity GPUs”. In Proceedings of the 10th Asia-Pacific Workshop on Networking (APNet, Poster), 2026.

  4. [APNet'26 Poster] Mingxin Li, Enge Song, Yueshang Zuo, Xiaodong Liu, Rong Wen, Jian He, Jing Tie, Zhou Shao, Qiang Fu, Xiaobo Xue, Xiong Xiao, Luyao Zhong, Shaokai Zhang, Jiangu Zhao, Jianyuan Lu, Shize Zhang, Xiaoqing Sun, Changgang Zheng, Zihao Fan, Haonan Li, Tian Pan, Xiaomin Wu, Yang Song, Xing Li, Biao Lyu, Meng Li, Haipeng Dai, Guihai Chen, Shunmin Zhu. “Scaling LLM Agent Tool Access at Cloud Scale”. In Proceedings of the 10th Asia-Pacific Workshop on Networking (APNet, Poster), 2026.

  5. [UbiComp'26 Companion] Ruiben Zhou, Haipeng Dai, Zhihan Jiang and Meng Li. “MobileOC: Sensing-Grounded Persona Agents for On-Device Context-Aware Companionship”. In Companion of the 2026 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp Companion, Student Research Competition), 2026. (*Corresponding Author*)

  6. [ICDE'26] Tao Li, Feng Liang, Jinqi Quan, Zihang Yang, Teng Wang, Runhuai Huang, Xiping Hu, Meng Li and Haipeng Dai. “Robust Index Benefit Estimation via Hierarchical and Two-dimensional Feature Representation”. In Proceedings of the 42nd IEEE International Conference on Data Engineering (ICDE, CCF-A), Montréal, Canada, May 4-8, 2026.

  7. [WWW'26] Enze Yu, Penghuan Cheng, Haipeng Dai, Haihan Zhang, Sujin Hou, Meng Li, Zhenzhe Zheng, Qiang He, Guihai Chen. “Prototype Augmentation-based Edge-end Heterogeneous Collaborative Learning”. In Proceedings of the World Wide Web Conference (WWW, CCF-A), Dubai, United Arab Emirates, April 13-17, 2026.

  8. [EDBT'26] Junfeng Liu, Jiarui Ye, Mengshi Chen, Meng Li, Siqiang Luo. “Evaluating Learned Indexes in LSM-tree Systems: Benchmarks, Insights and Design Choices”, International Conference on Extending Database Technology (EDBT), Tampere, Finland, March 24-27, 2026.

  9. [SIGMOD'26] Feifan Liu, Rong Gu, Meng Li, Haipeng Dai, Baohan Wang, Jie Tao, Dian Shen. “Hourglass: An Adaptive Range Filter with Lightweight Hybrid Encoding”. The 52th ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD, CCF-A), 2026.

  10. [TMC'26] Weijun Wang, Liang Mi, Jinghan Chen, Tianze Yu, Ting Cao, Yuanchun Li, Meng Li, Haipeng Dai, Guihai Chen and Yunxin Liu. “Efficient VLM Inference System with LoRA Adapters at the Edge”, IEEE Transactions on Mobile Computing (TMC), 2026.

  11. [TKDE'26] Shizhe Liu, Haipeng Dai, Shaoxu Song, Meng Li, Yuemeng Zhang, Hancheng Wang, Du Zhang, Rong Gu and Guihai Chen. “Accelerating Complex Event Recognition via Range Bitmap-based Indexes with Window-wise Filtering”, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2026.

  12. [TMC'26] Xin He, Mingyu Cai, Meng Li, Haipeng Dai, Wei Peng, Jian Zhou and Fu Xiao. “Online Caching with Delayed Hits in Multi-Server Edge Networks”, IEEE Transactions on Mobile Computing (TMC), 2026.

2025

  1. [ICPADS'25] Ning Zhang, Suning Chen, Shenghao Liu, Xianjun Deng, Yuanyuan He, Wei Xiang, Meng Li. “SecFinder: An IoT Device Identification System Based on Flow-level Traffic in Smart Home”. In Proceedings of the 31st IEEE International Conference on Parallel and Distributed Systems (ICPADS, CCF-C), Hefei, China: IEEE, 2025. \(\color{Crimson}{\text{Best Paper Award}}\) 🏆

  2. [APWeb'25] Ruiben Zhou, Yihuan Zhou, Shenghao Liu, Meng Li, Xianjun Deng, Haipeng Dai. “NALI: NUMA-aware Adaptive Learned Index for In-Memory Multi-core Databases”, In Proceedings of the APWeb-WAIM joint International Conference on Web and Big Data (APWeb, CCF-C), Shenyang, May 19-23, 2025.

  3. [ICDE'25] Guoying Zhu, Haipeng Dai, Kang Yuan, Qian Wang, Lida Chen, Zhenghong Luo, Meng Li, Rong Gu, Xizi Ni, Hua Fan, Dachao Fu, Wenchao Zhou. “Local-to-cloud Database Synchronization via Fine-grained Hybrid Compression”, In Proceedings of the IEEE International Conference on Data Engineering (ICDE, CCF-A), Hong Kong, May 19-23, 2025.

  4. [EuroSys'25] Liang Mi, Weijun Wang, Wenming Tu, Qingfeng He, Rui Kong, Xinyu Fang, Yazhu Dong, Yikang Zhang, Yuanchun Li, Meng Li, Haipeng Dai, Guihai Chen, Yunxin Liu. “Empower Vision Applications with LoRA LMM”. In Proceedings of the 20th ACM European Conference on Computer Systems (EuroSys, CCF-A), Rotterdam, The Netherlands, March 30-April 3, 2025.

  5. [SIGMOD'25] Meng Li, Huayi Chai, Siqiang Luo, Haipeng Dai, Rong Gu, Jiaqi Zheng and Guihai Chen. “VEGA: An Active-tuning Learned Index with Group-Wise Learning Granularity”. In Proceedings of the ACM Conference on Management of Data (SIGMOD, CCF-A), Berlin, Germany, June 22-27, 2025.

  6. [TMC'25] Keran Li, Haipeng Dai, Wei Wang, Junlong Chen, Jiliang Wang, Shuai Tong, Meng Li, Lei Wang, Haoran Wang and Guihai Chen. “RoLEX: A LoRa-based Rotation Speed Measurement System for Ubiquitous Long-distance Monitoring Applications”, IEEE Transactions on Mobile Computing (TMC), 2025.

  7. [TPDS'25] Hancheng Wang, Haipeng Dai, Shusen Chen, Meng Li, Rong Gu, Youyou Lu, Chengxun Wu, Jiaqi Zheng, Lexi Xu and Guihai Chen. “Parallel Wormhole Filters: High-Performance Approximate Membership Query Data Structures for Persistent Memory”, IEEE Transactions on Parallel and Distributed Systems (TPDS), 2025.

2024

  1. [INFOCOM'24] Meng Li, Wenqi Luo, Haipeng Dai, Huayi Chai, Rong Gu, Xiaoyu Wang and Guihai Chen. “The Reinforcement Cuckoo Filter”. In Proceedings of the 23rd IEEE International Conference on Computer Communications (INFOCOM), Vancouver, Canada, May 20-23, 2024.

  2. [SIGKDD'24] Shizhe Liu, Haipeng Dai, Shaoxu Song, Meng Li, Jingsong Dai, Rong Gu and Guihai Chen. “ACER: Accelerating Complex Event Recognition via Two-Phase Filtering under Range Bitmap-Based Indexes”. In ACM Knowledge Discovery and Data Mining (SIGKDD, CCF-A), Barcelona, Spain, August 25-29, 2024.

  3. [JOS'24] Meng Li, Wenqi Luo, Haipeng Dai, Hancheng Wang, Rong Gu, Guihai Chen. “The Cost-sensitive Variable-hash Cuckoo Filter”. Journal of Software (软件学报, 中文 CCF-A), 2024.

  4. [TON'24] Hancheng Wang, Haipeng Dai, Shusen Chen, Meng Li, Rong Gu, Huayi Chai, Jiaqi Zheng, Zhiyuan Chen, Shuaituan Li, Xianjun Deng, Guihai Chen. “Bamboo Filters: Make Resizing Smooth and Adaptive” (Journal Version). IEEE/ACM Transactions on Networking (ToN, CCF-A), 2024.

  5. [TON'24] Jiaqian Liu, Haipeng Dai, Rui Xia, Meng Li, Ran Ben Basat, Rui Li, Rong Gu, Jiaqi Zheng and Guihai Chen. “A Generic Framework for Finding Special Quadratic Elements in Data Streams”. IEEE/ACM Transactions on Networking (ToN, CCF-A), 2024.

  6. [VLDB'24] Guanduo Chen, Zhenying He, Meng Li, Siqiang Luo. “Oasis: An Optimal Disjoint Segmented Learned Range Filter”. In Proceedings of the 50th International Conference on Very Large Data Bases (VLDB), Guangzhou, China, Aug 28-Sep 1, 2024.

  7. [TKDE'24] Mingxin Li, Hancheng Wang, Meng Li, Haipeng Dai, Chengliang Chai, Rong Gu, Feng Chen, Zhiyuan Chen, Shuaituan Li, Qizhi Liu and Guihai Chen. “A Survey of Multi-dimensional Indexes: Past and Future Trends”. IEEE Transactions on Knowledge and Data Engineering (TKDE, CCF-A), 2024.

2023

  1. [ICDM'23] Haipeng Dai, Hancheng Wang, Zhipeng Chen, Jiaqi Zheng, Meng Li, Rong Gu, Chen Tian and Wanchun Dou. “Variable-length Encoding Framework: A Generic Framework for Enhancing the Accuracy of Approximate Membership Queries”. In Proceedings of the 23rd IEEE International Conference on Data Mining (ICDM), Shanghai, China, December 1-4, 2023.

  2. [ICDM'23] Zhenghong Luo, Qian Wang, Tianshan Qu, Haomai Wang, Meng Li, Rong Gu and Haipeng Dai. “MoonKV: Optimizing Update-intensive Workloads for NVM-based Key-value Stores”. In Proceedings of the 23rd IEEE International Conference on Data Mining (ICDM), Shanghai, China, December 1-4, 2023.

  3. [VLDB'23] Rong Gu, Han Li, Haipeng Dai, Wenjie Huang, Jie Xue, Meng Li, Jiaqi Zheng, Haoran Cai, Yihua Huang and Guihai Chen. “ShadowAQP: Efficient Approximate Group-by and Join Query via Attribute-oriented Sample Size Allocation and Data Generation”. In Proceedings of the 49rd International Conference on Very Large Data Bases (VLDB), Vancouver, Canada, Aug 28-Sep 1, 2023.

  4. [TKDE'23] Meng Li, Deyi Chen, Haipeng Dai, Rongbiao Xie, Siqiang Luo, Rong Gu, Tong Yang and Guihai Chen. “Seesaw Counting Filter: A Dynamic Filtering Framework for Vulnerable Negative Keys”. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023.

2022

  1. [ICDE'22] Hancheng Wang, Haipeng Dai, Meng Li, Jun Yu, Rong Gu, Jiaqi Zheng and Guihai Chen. “Bamboo Filters: Make Resizing Smooth”. In Proceedings of the 38th IEEE International Conference on Data Engineering (ICDE), Virtual Event, May 9-12, 2022.

  2. [WWW'22] Meng Li, Deyi Chen, Haipeng Dai, Rongbiao Xie, Siqiang Luo, Rong Gu, Tong Yang and Guihai Chen. “Seesaw Counting Filter: An Efficient Guardian for Vulnerable Negative Keys During Dynamic Filtering”. In Proceedings of the World Wide Web Conference (WWW), Lyon, France, April 25–29, 2022.

  3. [WWW'22] Jiaqian Liu, Haipeng Dai, Rui Xia, Meng Li, Ran Ben Basat, Rui Li and Guihai Chen. “DUET: A Generic Framework for Finding Special Quadratic Elements in Data Streams”. In Proceedings of the World Wide Web Conference (WWW), Lyon, France, April 25–29, 2022.

  4. [TKDE'22] Haipeng Dai, Jun Yu, Meng Li, Wei Wang, Jinghao Ma, Lianyong Qi, Alex X. Liu and Guihai Chen. “Bloom Filter with Noisy Coding Framework for Multi-Set Membership Testing”. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022.

  5. [VLDBJ'22] Meng Li, Rongbiao Xie, Deyi Chen, Haipeng Dai, Rong Gu, He Huang, Wanchun Dou and Guihai Chen. “A Pareto Optimal Bloom Filter Family with Hash Adaptivity”, The VLDB Journal (VLDBJ), 2022.

2021

  1. [ICDE'21] Rongbiao Xie, Meng Li, Zheyu Miao, Rong Gu, He Huang, Haipeng Dai and Guihai Chen. “Hash Adaptive Bloom Filter”. In Proceedings of the 37th IEEE International Conference on Data Engineering (ICDE), Virtual Event, April 19-22, 2021.

  2. [TKDE'21] Meng Li, Zheyu Miao, Di Wu, Feifei Li, Sheng Wang, Wei Cao, Zhi Qiao, Yubin Ruan, Yukun Liang, Jimmy Yang, Haipeng Dai and Guihai Chen. “ROVEC: Runtime Optimization of Vectorized Expression Evaluation for Column Store”. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021.

2020

  1. [TON'20] Haipeng Dai, Meng Li, Alex X. Liu, Jiaqi Zheng and Guihai Chen. “Finding Persistent Items in Distributed Datasets”. IEEE/ACM Transactions on Networking (TON), Vol. 28, No. 1, pages 1-14, 2020.

  2. [TON'20] Meng Li, Haipeng Dai, Xiaoyu Wang, Rui Xia, Alex X. Liu and Guihai Chen. “Thresholded Monitoring in Distributed Data Streams”. IEEE/ACM Transactions on Networking (TON), Vol. 28, No. 3, pages 1033-1046, 2020.

  3. [IPDPS'20] Rui Xia, Haipeng Dai, Jiaqi Zheng, Hong Xu, Meng Li and Guihai Chen. “Packet-in Request Redirection for Minimizing Control Plane Response Time”. In Proceedings of the 34th IEEE International Parallel and Distributed Processing Symposium (IPDPS), New Orleans, USA, May 18-22, 2020.

Before 2020

  1. [ICDCS'19] Meng Li, Haipeng Dai, Xiaoyu Wang, Rui Xia, Alex X. Liu and Guihai Chen. “Thresholded Monitoring in Distributed Data Streams”. In Proceedings of the 39th IEEE International Conference on Distributed Computing (ICDCS), Dallas, Texas, USA, July 7-10, 2019. Acceptance rate: 19.6%.

  2. [TON'18] Haipeng Dai, Muhammad Shahzad, Alex X. Liu, Meng Li and Yuankun Zhong. “Identifying and Estimating Persistent Items in Data Streams”. IEEE/ACM Transactions on Networking (TNET), Vol. 26, No. 6, pages 2429-2442, 2018.

  3. [INFOCOM'18] Haipeng Dai, Meng Li and Alex X. Liu. “Finding Persistent Items in Distributed Datasets”. In Proceedings of the 37th Annual IEEE International Conference on Computer Communications (INFOCOM), Honolulu, HI, USA, April 15-19, 2018. Acceptance rate: 309/1606 = 19.2%.

  4. [SIGMETRICS'16] Haipeng Dai, Yuankun Zhong, Alex X. Liu, Wei Wang and Meng Li. “Noisy Bloom Filters for Multi-Set Membership Testing”. In ACM SIGMETRICSIFIP Performance (SIGMETRICS), Antibes Juan-Les-Pins, France, June 14-18, 2016. Acceptance rate: 28208 = 13.46%.