时空大数据智能与计算实验室 Big Data AI & Spatial-Temporal Computing Lab 哈尔滨工业大学（深圳）计算机科学与技术学院 School of Computer Science and Technology, HIT Shenzhen

发表论著

Publications

2026

Ruopu Li, Yong Chu, Kai Yang, James Jianqiao Yu, Lixia Wu, Xun Zhou. SHAPE: Spatial Hyperbolic-Embedding Augmented Pretraining for Estimated Time of Arrival on Obfuscated Trajectories, in ICDM 2026.
Jiaze Wang, Jiayi Tian, Xun Zhou, Wenzhe Zhao, Tian Xia, Pengju Ren. DSTA4D: Content-aware adaptive decoupling for 4D point cloud video understanding, in Pattern Recognition.
Zhuo Zhang, Jingyuan Zhang, Jintao Huang, Hui Wang, Yue Yu, Hongzhi Zhang, Xun Zhou, Lizhen Qu, Zenglin Xu, et al. PPFedIT: Towards Privacy-preserving Federated Instruction Tuning with Few-shot Local Examples, in ACM Transactions on Intelligent Systems and Technology.
Zhengjun Huang, Zhoujin Tian, Qintian Guo, Fangyuan Zhang, Yingli Zhou, Di Jiang, Zeying Xie, Xiaofang Zhou, et al. LiCoMemory: Lightweight and Cognitive Agentic Memory for Efficient Long-Term Reasoning, in Findings of ACL 2026.
Qifan Zhang, Yang Liu, Kaiqiang Yu, Shengxin Liu, Cheng Long, Xun Zhou. Efficient Minimum k-Truss Search: A Decomposition-Based Approach, in IEEE Transactions on Knowledge and Data Engineering.
Yinghao Wu, Shuhong Hou, Haowen Zheng, Yichen Li, Weiyi Lu, Xun Zhou, Yitian Shao, et al. TranTac: Leveraging Transient Tactile Signals for Contact-Rich Robotic Manipulation, in ICRA 2026.
Jiaze Wang, Jiayi Tian, Xun Zhou, Qu Mingchao, Tian Xia, Wenzhe zhao, Pengju Ren, et al. Seeing without Cameras: Interpretable Wireless Fusion for 3D Human Pose Estimation, in ACM MM 2026.
Kai Yang, Xun Zhou. RoPOI: Robust POI Recommendation based on Modality Disentanglement and Missing Representation Generation, in ACM MM 2026.
Yinyu Liu, Kaiqiang Yu, Shengxin Liu, Cheng Long, Xun Zhou. Querying Cohesive Subgraphs in Temporal Graphs, in Proceedings of the ACM on Management of Data.
Yukai Sun, Kaiqiang Yu, Shengxin Liu, Cheng Long, Raymond Chi-Wing Wong, Xun Zhou, Min Zhang, et al. Listing Minimal Cores in Large Real-World Graphs, in ICDE 2026.
Zirui Zhou, Xun Zhou, Kanyu Bao, Shengxin Liu, Kehai Chen, Min Zhang. HURST: Heterogeneity-Adaptive Urban Foundation Models for Spatiotemporal Prediction via Self-Partitional Mixture-of-Spatial-Experts, in KDD 2026.
Hanbin Xiao, Xun Zhou, Rui Huang, Xiucheng Li, Weili Guan, Liqiang Nie. RePatch: Learning Entropy-Guided Patch Structures with Quantized Representations for Time Series Forecasting, in KDD 2026.
Hongjie Gu, Daojing He, Xun Zhou. Malicious Domain Detection on Out-of-Distribution Gray Data through Graph Contrastive Learning with Structure Aggregation, in KDD 2026.
Rui Huang, Dian Meng, Xun Zhou, Sikun Yang. Sparse Poisson Gamma Belief Networks for High-Dimensional Sparse Count Data, in AAAI 2026.
Yong Chu, Xun Zhou, Zenglin Xu, Hui Wang, Yue Yu. Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization, in ICLR 2026.
Jinglong Luo, Zhuo Zhang, Yehong Zhang, Shiyu Liu, Ye Dong, Hui Wang, Yue Yu, Xun Zhou, Zenglin Xu, et al. SecP-Tuning: Efficient Privacy-Preserving Prompt Tuning for Large Language Models via MPC, in ICLR 2026.
Yukai Sun, Shuohao Gao, Kaiqiang Yu, Shengxin Liu, Cheng Long, Xun Zhou, Raymond Chi-Wing Wong, et al. Efficient Maximal Directed Plex Enumeration with Worst-Case Time Guarantee, in IEEE Transactions on Knowledge and Data Engineering.

2025

Jinglong Luo, Yehong Zhang, Zhuo Zhang, Shiyu Liu, Ye Dong, Haoran Li, Yue Yu, Hui Wang, Xun Zhou, Zenglin Xu, et al. Cryptography-based privacy-preserving large language models: a lifecycle survey of frameworks, methods, and future directions, in Artificial Intelligence Review.
Chenxu Zhang, Xun Zhou, Yitian Shao, Jun Luo. Adjacency-Aware Deep Reinforcement Learning for Centralized Vehicle Repositioning, in IEEE BigData 2025.
Ao Hu, Liangjian Wen, Yong Dai, Shiyi Qi, Jun Wang, Zhi Chen, Xun Zhou, Dongkai Wang, Zenglin Xu, Jiang Duan, et al. TimeCNN: Refining Cross-Variable Interaction on Time Point for Time Series Forecasting, in Neural Networks.
Ronilo Ragodos, Xun Zhou, Tong Wang, Yajun Pan, Jun Luo. ConPro-GAIL: Interpretable Policy Learning via Conceptual Prototyping for Human Spatiotemporal Decision Understanding, in SIGSPATIAL 2025.
Yuanshao Zhu, James Jianqiao Yu, Xiangyu Zhao, Xun Zhou, Liang Han, Xuetao Wei, Yuxuan Liang, et al. UniTraj: Learning a Universal Trajectory Foundation Model from Billion-Scale Worldwide Traces, in NeurIPS 2025.
Zhuo Zhang, Yukun Zhang, Guanzhong Chen, Lizhen Qu, Xun Zhou, Hui Wang, Zenglin Xu, et al. From continuous pre-training to alignment: A comprehensive toolkit for large language models in federated learning, in Neurocomputing.
Hongbo Xia, Kaiqiang Yu, Shengxin Liu, Cheng Long, Xun Zhou. Maximum Degree-Based Quasi-Clique Search via an Iterative Framework, in KDD 2025.
Mufan Xu, Gewen Liang, Kehai Chen, Wei Wang, Xun Zhou, Muyun Yang, Tiejun Zhao, Min Zhang, et al. Memory-augmented Query Reconstruction for LLM-based Knowledge Graph Reasoning, in Findings of ACL 2025.
Shuohao Gao, Kaiqiang Yu, Shengxin Liu, Cheng Long, Xun Zhou. On Searching and Querying Maximum Directed (k, l)-Plex, in IEEE Transactions on Knowledge and Data Engineering.
Bang An, Xun Zhou, Zirui Zhou, Ronilo Ragodos, Zenglin Xu, Jun Luo. GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-Prototyping, in AAAI 2025.
Xuanxuan Li, Zenglin Xu, Liangjian Wen, Xun Zhou, Jinghua Wang. Adaptive Downscaling on Inputs Improves Time Series Classification, in PRCV 2025.
Jinglong Luo, Guanzhong Chen, Yehong Zhang, Shiyu Liu, Hui Wang, Yue Yu, Xun Zhou, Yuan Qi, Zenglin Xu, et al. CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference, in ACL 2025.

2024

Bang An, Xun Zhou, Amin Vahedian, W. Nick Street, Jinping Guan, Jun Luo. LISA: Learning-Integrated Space Partitioning Framework for Traffic Accident Forecasting on Heterogeneous Spatiotemporal Data, in ICDM 2024.