Liwei Deng 邓力玮

Liwei Deng 邓力玮

PhD Student

I’m a fourth year PhD candidate at School of Computer Science and Engineering, University of Electronic Science and Technology of China, supervised by Prof. Kai Zheng. Moreover, I am co-supervised by Dr. Yan Zhao, an Associate Professor at Aalborg University. Previously, I received my M.E. and B.E. degree from University of Electronic Science and Technology of China and Taiyuan University of Technology in 2018 and 2021, respectively.

My research interests include spatio-temporal data mining, trajectory computing, finance technology, recommender system, vector database, and other data-driven applications.

Currently, I am looking for a job. If you are interested, please feel free to contact me via email denglw0830@gmail.com.

🔥 News

  • 2025.01:  🎉🎉 One paper is accepted by WWW 2025.
  • 2024.11:  🎉🎉 One paper is accepted by ICDE 2025.
  • 2024.11:  🎉🎉 One paper is accepted by KDD 2025.
  • 2024.11:  🎉🎉 One paper is accepted by VLDB 2025.
  • 2024.10:  🎉🎉 One paper is accepted by VLDB 2025.
  • 2024.05:  🎉🎉 One paper is accepted by KDD 2024.

📝 Publications

Selected Conference Papers

  1. [WWW 2025] Ximu Zeng, Liwei Deng, Penghao Chen, Xu Chen, Han Su, Kai Zheng. LIRA: A Learning-based Query-aware Parition Framework for Large-scale ANN Search. In WWW 2025. [code]
  2. [ICDE 2025] Liwei Deng, Fei Wang, Tianfu Wang, Yan Zhao, Yuyang Xia, Kai Zheng. Exact and Efficient Similar Subtrajectory Search: Integrating Constraints and Simplification. In ICDE 2025.
  3. [KDD 2025] Yuchen Fang, Yuxuan Liang, Bo Hui, Zezhi Shao, Liwei Deng, Xu Liu, Xinke Jiang, Kai Zheng. Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective. In KDD 2025. [Arxiv] [code]
  4. [VLDB 2025] Liwei Deng, Penghao Chen, Ximu Zeng, Tianfu Wang, Yan Zhao, Kai Zheng. Efficient Data-aware Distance Comparison Operations for High-Dimensional Approximate Nearest Neighbor Search. In PVLDB 2025. [Arxiv] [code]
  5. [VLDB 2025] Liwei Deng, Tianfu Wang, Yan Zhao, Kai Zheng. MILLION: A General Multi-Objective Framework with Controllable Risk for Portfolio Management. In PVLDB 2025. [code]
  6. [KDD 2024] Tianfu Wang, Liwei Deng, Chao Wang, Jianxun Lian, Yue Yan, Nicholas Jing Yuan, Qi Zhang, Hui Xiong. COMET: NFT Price Prediction with Wallet Profiling. In KDD 2024. [paper]
  7. [ICDE 2024] Liwei Deng, Yan Zhao, Yue Cui, Yuyang Xia, Jin Chen, Kai Zheng. Task Recommendation in Spatial Crowdsourcing: A Trade-Off Between Diversity and Coverage. In ICDE 2024. [paper]
  8. [ICDE 2024] Liwei Deng, Yan Zhao, Jin Chen, Shuncheng Liu, Yuyang Xia, Kai Zheng. Learning to Hash for Trajectory Similarity Computation and Search. In ICDE 2024. [paper]
  9. [ICDE 2024] Yuyang Xia, Shuncheng Liu, Quanlin Yu, Liwei Deng, You Zhang, Han Su, Kai Zheng. Parameterized Decision-Making with Multi-Modality Perception for Autonomous Driving. In ICDE 2024. [paper] [code]
  10. [ACL 2023] Hao Sun, Yang Li, Liwei Deng, Bowen Li, Binyuan Hui, Binhua Li, Yunshi Lan, Yan Zhang, Yongbin Li. History semantic graph enhanced conversational KBQA with temporal information modeling. In ACL 2023. [paper] [code]
  11. [DASFAA 2023] Liwei Deng, Yan Zhao, Hao Sun, Changjie Yang, Jiandong Xie, Kai Zheng. Fusing Local and Global Mobility Patterns for Trajectory Recovery. In DASFAA 2023. [paper]
  12. [DASFAA 2023] Yupu Zhang, Liwei Deng, Yan Zhao, Jin Chen, Jiandong Xie, Kai Zheng. SimiDTR: Deep Trajectory Recovery with Enhanced Trajectory Similarity. In DASFAA 2023. (Best Student Paper Award Runner Up) [paper]
  13. [WSDM 2023] Liwei Deng, Hao Sun, Yan Zhao, Shuncheng Liu, Kai Zheng. S2tul: A semi-supervised framework for trajectory-user linking. In WSDM 2023. [paper] [code]
  14. [WSDM 2023] Xuanhao Chen, Liwei Deng, Yan Zhao, Kai Zheng. Adversarial autoencoder for unsupervised time series anomaly detection and interpretation. In WSDM 2023. [paper]
  15. [CIKM 2022] Jiaxin Liu, Liwei Deng, Hao Miao, Yan Zhao, Kai Zheng. Task assignment with federated preference learning in spatial crowdsourcing. In CIKM 2022. [paper]
  16. [CIKM 2022] Liwei Deng, Yan Zhao, Zidan Fu, Hao Sun, Shuncheng Liu, Kai Zheng. Efficient trajectory similarity computation with contrastive learning. In CIKM 2022. [paper] [code]
  17. [CIKM 2022] Shuncheng Liu, Xu Chen, Ziniu Wu, Liwei Deng, Han Su, Kai Zheng. HeGA: heterogeneous graph aggregation network for trajectory prediction in high-density traffic. In CIKM 2022. [paper]
  18. [KDD 2022] Jin Chen, Guanyu Ye, Yan Zhao, Shuncheng Liu, Liwei Deng, Xu Chen, Rui Zhou, Kai Zheng. Efficient join order selection learning with graph-based representation. In KDD 2022. [paper]
  19. [MDM 2022] Dazhuo Qiu, Yihao Wang, Yan Zhao, Liwei Deng, Kai Zheng. CityCross: Transferring Attention-based Knowledge for Location-based Advertising Recommendation. In MDM 2022. (Best Industry, Systems and Apps Award) [paper]
  20. [WWW 2022] Yan Zhao, Xuanhao Chen, Liwei Deng, Tung Kieu, Chenjuan Guo, Bin Yang, Kai Zheng, Christian S Jensen. Outlier detection for streaming task assignment in crowdsourcing. In WWW 2022. [paper]
  21. [ICBK 2021] Bingke Xu, Yue Cui, Zipeng Sun, Liwei Deng, Kai Zheng. Fair representation learning in knowledge-aware recommendation. In ICBK 2021. [paper]
  22. [CCIS 2021] Yan Zhao, Lianming Zhou, Liwei Deng, Vincent W Zheng, Hongzhi Yin, Kai Zheng. Subgraph convolutional network for recommendation. In CCIS 2021. [paper]
  23. [CIKM 2021] Hao Sun+, Changjie Yang+, Liwei Deng+, Fan Zhou, Feiteng Huang, Kai Zheng. Periodicmove: Shift-aware human mobility recovery with graph neural network. In CIKM 2021. [paper] [code]
  24. [VLDB 2022] Yue Cui, Kai Zheng, Dingshan Cui, Jiandong Xie, Liwei Deng, Feiteng Huang, Xiaofang Zhou. METRO: a generic graph neural network framework for multivariate time series forecasting. In VLDB 2021. [paper]
  25. [ICDE 2021] Xuanhao Chen, Liwei Deng, Feiteng Huang, Chengwei Zhang, Zongquan Zhang, Yan Zhao, Kai Zheng. Daemon: Unsupervised anomaly detection and interpretation for multivariate time series. In ICDE 2021. [paper]
  26. [DASFAA 2021] Hao Sun, Zijian Wu, Yue Cui, Liwei Deng, Yan Zhao, Kai Zheng. Personalized dynamic knowledge-aware recommendation with hybrid explanations. In DASFAA 2021. [paper]
  27. [KDD 2019] Yue Cui, Liwei Deng, Yan Zhao, Bin Yao, Vincent W Zheng, Kai Zheng. Hidden poi ranking with spatial crowdsourcing. In KDD 2019. [paper]

Selected Journal Papers

  1. [VLDBJ] Yan Zhao, Kai Zheng, Ziwei Wang, Liwei Deng, Bin Yang, Torben Bach Pedersen, Christian S Jensen, Xiaofang Zhou. Coalition-based task assignment with priority-aware fairness in spatial crowdsourcing. In VLDBJ. [paper]
  2. [TOIS] Yan Zhao+, Liwei Deng+, Kai Zheng. AdaTaskRec: An adaptive task recommendation framework in spatial crowdsourcing. In TOIS. [paper]
  3. [TIST] Liwei Deng, Hao Sun, Rui Sun, Yan Zhao, Han Su. Efficient and effective similar subtrajectory search: a spatial-aware comprehension approach. In TIST. [paper]
  4. [WWWJ] Xuanhao Chen, Liwei Deng, Yan Zhao, Xiaofang Zhou, Kai Zheng. Community-based influence maximization in location-based social network. In WWWJ. [paper]

Underreview

  1. [KDD 2025] Liwei Deng, Penghao Chen, Ximu Zeng, Tianfu Wang, Yan Zhao, Kai Zheng. Accelerating Distance Comparison Operation for Maximum Inner Product Search. In KDD 2025.
  2. [ICDE 2025] Liwei Deng, Penghao Chen, Ximu Zeng, Yuchen Fang, Jin Chen, Yan Zhao. Towards Accurate Distance Estimation for Distribution-Aware c-ANN Search. In ICDE 2025.
  3. [ICML 2025] Tianfu Wang, Long Yang, Chao Wang, Chuan Qin, Liwei Deng, Li Shen, Hui Xiong. Towards Constraint-aware Learning for Resource Allocation in NFV-enabled Networks. Arxiv Preprint 2025. [paper] [code]
  4. [Arxiv] Yan Zhao, Liwei Deng, Xuanhao Chen, Chenjuan Guo, Bin Yang, Tung Kieu, Feiteng Huang, Torben Bach Pedersen, Kai Zheng, Christian S Jensen. A comparative study on unsupervised anomaly detection for time series: Experiments and analysis. Arxiv Preprint 2022. [paper]

Note: # and + indicate the corresponding author and co-first author

📖 Educations

  • 2014.09 - 2018.06, Taiyuan University of Technology, Bachelor
    • Information and Computing Science, School of Mathematics
  • 2018.09 - 2021.06, University of Electronic Science and Technology of China, Master
    • Computer Technology, School of Computer Science and Engineering
  • 2021.09 - present, University of Electronic Science and Technology of China, Ph.D.
    • Computer Science and Technology, School of Computer Science and Engineering

💻 Internships

  • 2019.09 - 2020.07, Huawei Cloud Database Innovation Lab, Huawei Technologies Co. Ltd., Chengdu, China.
    • Time Series Analysis
  • 2023.08 - 2024.05, Microsoft Internet Engineering Institute, Microsoft, Suzhou, China.

🎖 Honors and Awards

  • Best Student Paper Award Runner Up at DASFAA 2023
  • Second-class People’s Scholarship (2022, 2023, 2024)
  • Best industry, systems and apps award at MDM 2022
  • Second-class People’s Scholarship (2020)
  • First-class People’s Scholarship (2019)
  • First-class People’s Scholarship (2015, 2016, 2017)

⏳ Professional Services

PC Member and Reviewer

  • 2025: KDD, IJCAI
  • 2024: KDD, IJCAI, CIKM
  • 2023: IJCAI, CIKM, AAAI, BDMS@DASFAA

Journal Invited Reviewer

  • TKDE, Information Processing and Management, IEEE Transactions on Cybernetics