Liwei Deng 邓力玮

Liwei Deng 邓力玮

PhD Candidate

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

  • 2025.06:  🎉🎉 We release our survey of spatio-temporal foundation models on Arxiv.
  • 2025.06:  🎉🎉 One paper is accepted by ICML workshop on ML4Wireless.
  • 2025.03:  🎉🎉 Two papers are accepted by ICDE 2025.
  • 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. [ICML Workshop on ML4Wireless] 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.
  2. [ICDE 2025] Ximu Zeng, Jianxing Lin, Liwei Deng, Yuchen Fang, Yan Zhao, Kai Zheng. Optimizing Multi-Center Collaboration for Task Assignment in Spatial Crowdsoucing. (Core A*, CCF A)
  3. [ICDE 2025] Liwei Deng, Penghao Chen, Ximu Zeng, Yuchen Fang, Jin Chen, Yan Zhao. Towards Accurate Distance Estimation for Distribution-Aware c-ANN Search. [code] (Core A*, CCF A)
  4. [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. [code] (Core A*, CCF A)
  5. [ICDE 2025] Liwei Deng, Fei Wang, Tianfu Wang, Yan Zhao, Yuyang Xia, Kai Zheng. Exact and Efficient Similar Subtrajectory Search: Integrating Constraints and Simplification. [code] (Core A*, CCF A)
  6. [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. [Arxiv] [code] (Core A*, CCF A)
  7. [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. [Arxiv] [code] (Core A*, CCF A)
  8. [VLDB 2025] Liwei Deng, Tianfu Wang, Yan Zhao, Kai Zheng. MILLION: A General Multi-Objective Framework with Controllable Risk for Portfolio Management. [Arxiv] [code] (Core A*, CCF A)
  9. [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. [paper] (Core A*, CCF A)
  10. [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. [paper] (Core A*, CCF A)
  11. [ICDE 2024] Liwei Deng, Yan Zhao, Jin Chen, Shuncheng Liu, Yuyang Xia, Kai Zheng. Learning to Hash for Trajectory Similarity Computation and Search. [paper] (Core A*, CCF A)
  12. [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. [paper] [code] (Core A*, CCF A)
  13. [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. [paper] [code] (Core A*, CCF A)
  14. [DASFAA 2023] Liwei Deng, Yan Zhao, Hao Sun, Changjie Yang, Jiandong Xie, Kai Zheng. Fusing Local and Global Mobility Patterns for Trajectory Recovery. [paper] (Core B, CCF B)
  15. [DASFAA 2023] Yupu Zhang, Liwei Deng, Yan Zhao, Jin Chen, Jiandong Xie, Kai Zheng. SimiDTR: Deep Trajectory Recovery with Enhanced Trajectory Similarity. (Best Student Paper Award Runner Up) [paper] (Core B, CCF B)
  16. [WSDM 2023] Liwei Deng, Hao Sun, Yan Zhao, Shuncheng Liu, Kai Zheng. S2tul: A semi-supervised framework for trajectory-user linking. [paper] [code] (Core A*, CCF B)
  17. [WSDM 2023] Xuanhao Chen, Liwei Deng, Yan Zhao, Kai Zheng. Adversarial autoencoder for unsupervised time series anomaly detection and interpretation. [paper] (Core A*, CCF B)
  18. [CIKM 2022] Jiaxin Liu, Liwei Deng, Hao Miao, Yan Zhao, Kai Zheng. Task assignment with federated preference learning in spatial crowdsourcing. [paper] (Core A, CCF B)
  19. [CIKM 2022] Liwei Deng, Yan Zhao, Zidan Fu, Hao Sun, Shuncheng Liu, Kai Zheng. Efficient trajectory similarity computation with contrastive learning. [paper] [code] (Core A, CCF B)
  20. [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. [paper] (Core A, CCF B)
  21. [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. [paper] (Core A*, CCF A)
  22. [MDM 2022] Dazhuo Qiu, Yihao Wang, Yan Zhao, Liwei Deng, Kai Zheng. CityCross: Transferring Attention-based Knowledge for Location-based Advertising Recommendation. (Best Industry, Systems and Apps Award) [paper] (Core B, CCF C)
  23. [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] (Core A*, CCF A)
  24. [ICBK 2022] Bingke Xu, Yue Cui, Zipeng Sun, Liwei Deng, Kai Zheng. Fair representation learning in knowledge-aware recommendation. [paper]
  25. [CCIS 2022] Yan Zhao, Lianming Zhou, Liwei Deng, Vincent W Zheng, Hongzhi Yin, Kai Zheng. Subgraph convolutional network for recommendation. [paper]
  26. [CIKM 2021] Hao Sun+, Changjie Yang+, Liwei Deng+, Fan Zhou, Feiteng Huang, Kai Zheng. Periodicmove: Shift-aware human mobility recovery with graph neural network. [paper] [code] (Core A, CCF B)
  27. [VLDB 2021] 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. [paper] (Core A*, CCF A)
  28. [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. [paper] (Core A*, CCF A)
  29. [DASFAA 2021] Hao Sun, Zijian Wu, Yue Cui, Liwei Deng, Yan Zhao, Kai Zheng. Personalized dynamic knowledge-aware recommendation with hybrid explanations. [paper] (Core B, CCF B)
  30. [KDD 2019] Yue Cui, Liwei Deng, Yan Zhao, Bin Yao, Vincent W Zheng, Kai Zheng. Hidden poi ranking with spatial crowdsourcing. [paper] (Core A*, CCF A)

Selected Journal Papers

  1. [Arxiv] Yuchen Fang, Hao Miao, Yuxuan Liang, Liwei Deng, Yue Cui, Ximu Zeng, Yuyang Xia, Torben Bach Pedersen, Christian S. Jensen, Xiaofang Zhou, Kai Zheng. Unreveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review. [paper] [Github]
  2. [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. [paper] (Core A*, CCF A)
  3. [TOIS] Yan Zhao+, Liwei Deng+, Kai Zheng. AdaTaskRec: An adaptive task recommendation framework in spatial crowdsourcing. [paper] (Core A*, CCF A)
  4. [TIST] Liwei Deng, Hao Sun, Rui Sun, Yan Zhao, Han Su. Efficient and effective similar subtrajectory search: a spatial-aware comprehension approach. [paper]
  5. [WWWJ] Xuanhao Chen, Liwei Deng, Yan Zhao, Xiaofang Zhou, Kai Zheng. Community-based influence maximization in location-based social network. In WWWJ. [paper] (Core A, CCF B)

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

  • The Outstanding Doctoral Dissertation of UESTC (2025)
  • UESTC Academic Newcomer Award (2025)
  • 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, CIKM, BigData
  • 2024: KDD, IJCAI, CIKM
  • 2023: IJCAI, CIKM, AAAI, BDMS@DASFAA

Journal Invited Reviewer

  • IEEE Transactions on Knowledge and Data Engineering
  • Information Processing and Management
  • IEEE Transactions on Cybernetics
  • Knowledge-based Systems
  • Neural Networks