Publications

Recent Papers

2024

1. Li liming, Binwu Wang*, Xu Wang, Pengkun Wang, Yudong Zhang, Yang Wang*, Face Anti-spoofing with Unknown Attacks: A Comprehensive Feature Extraction and Representation Perspective.Journal of Computer Science and Technology (JCST), 2024.

2. Binwu Wang, Jiaming Ma, Pengkun Wang, Xu Wang, Yudong Zhang, Zhengyang Zhou, Yang Wang*, STONE: A Spatio-temporal OOD Learning Framework Kills Both Spatial and Temporal Shifts. In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024.

3. Kun Wang, Guohao Li, Shilong Wang, Guibin Zhang, Kai Wang, Yang You, Xiaojiang Peng, Yuxuan Liang*,Yang Wang*, The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field. In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024.

4. Zhe Zhao, Pengkun Wang*, HaiBin Wen, Wei Xu, Lai Song, Qingfu Zhang,Yang Wang*, Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-tailed Learning.International Conference on Machine Learning (ICML), 2024.

5. Chen Zhang, Qiang He, Zhou Yuan, Elvis S. Liu*, Hong Wang, Jian Zhao,Yang Wang*, Advancing DRL Agents in Commercial Fighting Games: Training, Integration, and Agent-Human Alignment.International Conference on Machine Learning (ICML), 2024.

6. Binwu Wang, Pengkun Wang*, Zhengyang Zhou, Zhe Zhao, Wei Xu,Yang Wang*, Make Bricks With A Little Straw: Large-Scale Spatio-temporal Graph Learning with Restricted GPU-Memory Capacity.International Joint Conference on Artificial Intelligence (IJCAI), 2024.

7. Wenjie Du , Shuai Zhang , Di Wu , Jun Xia , Ziyuan Zhao , Junfeng Fang ,Yang Wang*, MMGNN: A Molecular Merged Graph Neural Network for Explainable Solvation Free Energy Prediction.International Joint Conference on Artificial Intelligence (IJCAI), 2024.

8. Qihe Huang, Zhengyang Zhou*, Kuo Yang, Gengyu Lin, Zhongchao Yi,Yang Wang*, LeRet: Language-Empowered Retentive Network for Time Series Forecasting.International Joint Conference on Artificial Intelligence (IJCAI), 2024.

9. Yudong Zhang, Pengkun Wang, Binwu Wang, Xu Wang, Zhe Zhao, Zhengyang Zhou, Lei Bai*,Yang Wang*, Adaptive and Interactive Multi-Level Spatio-Temporal Network for Traffic Forecasting.IEEE Transactions on Intelligent Transportation Systems (IEEE TITS), 2024.

10. Binwu Wang, Pengkun Wang*, Yudong Zhang, Xu Wang, Zhengyang Zhou,Yang Wang*, Condition-Guided Urban Traffic Co-Prediction With Multiple Sparse Surveillance Data.IEEE Transactions on Vehicular Technology (IEEE TVT), 2024.

11. Wei Xu, Pengkun Wang*, Zhe Zhao, Binwu Wang, Xu Wang,Yang Wang*, When Imbalance Meets Imbalance: Structure-driven Learning for Imbalanced Graph Classificationi.Proceedings of the ACM on Web Conference (WWW), 2024.

12. Binwu Wang, Pengkun Wang*, Wei Xu, Xu Wang, Yudong Zhang, Kun Wang, Yang Wang*, Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning.The International Conference on Learning Representations (ICLR), 2024.

13. Kun Wang, Hao Wu, Yifan Duan, Guibin Zhang, Kai Wang, Xiaojiang Peng, Yu Zheng, Yuxuan Liang*,Yang Wang*, NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling. The International Conference on Learning Representations(ICLR),2024.

14. Wenjie Du, Fenfen Ma, Baicheng Zhang, Jiahui Zhang, Di Wu, Edward Sharman, Jun Jiang*,Yang Wang*, Spectroscopy-Guided Deep Learning Predicts Solid–Liquid Surface Adsorbate Properties in Unseen Solvents.Journal of the American Chemical Society (JACS), 2024.

15. Wang Kun, Yuxuan Liang*, Xinglin Li, Guohao Li, Bernard Ghanem, Roger Zimmermann, Huahui Yi, Yudong Zhang,Yang Wang*, Brave the Wind and the Waves: Discovering Robust and Generalizable Graph Lottery Tickets.IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2024.

16. Zhe Zhao, Pengkun Wang*, HaiBin Wen, Yudong Zhang, Zhengyang Zhou, Yang Wang*, A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks.Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024.

17. Binwu Wang, Pengkun Wang*, Yudong Zhang, Xu Wang, Zhengyang Zhou, Lei Bai, Yang Wang*, Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective.Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024.

18. Hongbo Zhang, Guang Wang, Xu Wang, Zhengyang Zhou, Chen Zhang, Zheng Dong, Yang Wang*, NondBREM: Nondeterministic Offline Reinforcement Learning for Large-Scale Order Dispatching.Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024.

19. Qihe Huang, Lei Shen, Ruixin Zhang, Jiahuan Cheng, Shouhong Ding, Zhengyang Zhou*,Yang Wang*, HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting.Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024.

20. Xu Wang, Pengfei Gu, Yudong Zhang, Binwu Wang, Pengkun Wang,Yang Wang*, Gradient Reactivation Enhanced Causal Attention for Out-Of-Distribution Generalizable Graph Classification.ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.

21. Qihe Huang, Lei Shen, Ruixin Zhang, Zhengyang Zhou*,Yang Wang*, CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement.Advances in Neural Information Processing Systems (NeurIPS), 2023.

22. Zhengyang Zhou, Kuo Yang, Yuxuan Liang, Binwu Wang, Hongyang Chen, Yang Wang*, Predicting Collective Human Mobility via Countering Spatiotemporal Heterogeneity.IEEE Transactions on Mobile Computing (IEEE TMC), 2024.

2023

1. Xu Wang, Pengkun Wang, Binwu Wang, Yudong Zhang,Yang Wang*, Latent Gaussian Processes based Graph Learning for Urban Traffic Prediction.IEEE Transactions on Vehicular Technology (IEEE TVT), 2023.

2. Zhengyang Zhou, Jiahao Shi, Hongbo Zhang, Xu Wang*,Yang Wang, CreST: A Credible Spatiotemporal Learning Framework for Uncertainty-aware Traffic Forecasting.ACM International Conference on Web Search and Data Mining (WSDM), 2023.

3. Qihe Huang, Lei Shen, Ruixin Zhang, Zhengyang Zhou*, Yang Wang*, CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement.Annual Conference on Neural Information Processing Systems (NeurIPS), 2023.

4. Junjie Zhuang, Shuang Hu, Baojian Hua*, Zhizhong Pan,Yang Wang*, WebAssembly安全研究综述.计算机研究与发展 , 2023.

5. Xia Liu, Baojian Hua*, Zhizhong Pan,Yang Wang*, An Empirical Study of Smart Contract Decompilers.The 30th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2023.

6. Xinrong Lin, Baojian Hua*,Zhizhong Pan,Yang Wang*, Towards a Large-Scale Empirical Study of Python Static Type Annotations.The 30th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2023.

7. Kuo Yang, Zhengyang Zhou, Wei Sun, Pengkun Wang, Xu Wang,Yang Wang*, EXTRACT and REFINE: Finding a Support Subgraph Set for Graph Representation. In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023.

8. Zhengyang Zhou, Qihe Huang, Kuo Yang, Kun Wang, Xu Wang, Yudong Zhang, Yuxuan Liang, Yang Wang*, Maintaining the status quo: Capturing invariant relations for OOD spatiotemporal learning. In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023.

9. Xu Wang, Hongbo Zhang, Pengkun Wang, Yudong Zhang, Binwu Wang, Zhengyang Zhou, Yang Wang*, An Observed Value Consistent Diffusion Model for Imputing Missing Values in Multivariate Time Series. In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023.

10. Binwu Wang, Yudong Zhang, Pengkun Wang, Xu Wang, Zhengyang Zhou, Lei Bai, Yang Wang*, Pattern Expansion and Consolidation for Continual Spatiotemporal Graph Learning. In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023.

11. Binwu Wang, Yudong Zhang, Jiahao Shi, Pengkun Wang, Xu Wang, Lei Bai, Yang Wang*, PKnowledge Expansion and Consolidation for Continual Traffic Prediction With Expanding Graphs. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (IEEE TRANS), 2023.

12. Zhengyang Zhou, Qihe Huang, Gengyu Lin, Kuo Yang, Lei Bai,Yang Wang*, GReTo: Remedying dynamic graph topology-task discordance via target homophily. The International Conference on Learning Representations ( ICLR), 2023.

13. Yirong Hu, Wenjie Du, Cheng Yang, Yang Wang* Tianyin Huang, Xiaoyi Xu, Wenwei Li*, Source identification and prediction of nitrogen and phosphorus of Lake Taihu by ensemble Machine Learning Technique, Frontiers of Environmental Science & Engineering ( FESE), 2023.

14. Kun Wang, Yuxuan Liang, Pengkun Wang, Xu Wang, Pengfei Gu, Junfeng Fang, Yang Wang*, Searching Lottery Tickets in Graph Neural Networks: A Dual Perspective. The International Conference on Learning Representations ( ICLR), 2023.

15. Xu Wang, Lianliang Chen, Hongbo Zhang, Pengkun Wang, Zhengyang Zhou, Yang Wang*, A Multi-graph Fusion Based Spatiotemporal Dynamic Learning Framework. ACM International Conference on Web Search and Data Mining (SWDM), 2023.

16. Pengkun Wang, Xu Wang, Binwu Wang, Yudong Zhang, Lei Bai, Yang Wang*, Long-tailed Time Series Classification via Feature Space Rebalancing. The International Conference on Database Systems for Advanced Applications ( DASFAA), 2023.

17. Zhou Zhengyang, Yang Kuo, Wei Sun, Binwu Wang, Min Zhou, Yunan Zong, Yang Wang*, Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal Dynamics. SLAM International Conference on Data Mining(SDM), 2023.

18. Binwu Wang, Yudong Zhang, Pengkun Wang, Xu Wang, Lei Bai, Yang Wang*, A Knowledge-Driven Memory System for Traffic Flow Prediction. The International Conference on Database Systems for Advanced Applications ( DASFAA), 2023.

2022

1. Kun Wang, Zhengyang Zhou, Xu Wang, Pengkun Wang, Qi Fang, Yang Wang*, A2DJP: A Two Graph-based Component Fused Learning Framework for Urban Anomaly Distribution and Duration Joint-Prediction., IEEE Transactions on Knowledge and Data Engineering, (TKDE), 2022.

2. Pengkun Wang, Xu Wang, Binwu Wang, Yudong Zhang, Lei Bai*, Yang Wang*, Countering Modal Redundancy and Heterogeneity: A Self-Correcting Multimodal Fusion. IEEE International Conference on Data Mining (ICDM), 2022.

3. 周正阳，刘浩，王琨，王鹏焜，王旭，汪炀*, 基于教师-学生时空半监督网络的城市事件预测方法电子学报, 已录用( CCF推荐A类中文期刊), 2022.

4. Baicheng Zhang, Xiaolong Zhang, Wenjie Dub, Zhaokun Song, Guozhen Zhang, Guoqing Zhang, Yang Wang, Xin Chen, Jun Jianga, and Yi Luo, Chemistry-informed molecular graph as reaction descriptor for machine-learned retrosynthesis planning. Proceedings of the National Academy of Sciences, ( PNAS), 2022.

5. Wenjie Du, Xiaoting Yang, Di Wu, FenFen Ma, Baicheng Zhang, Chaochao Bao, Yaoyuan Huo, Xin Chen, Yang Wang*, Fusing 2D and 3D Molecular Graphs as Unambiguous Molecular Descriptors for Conformational and Chiral Stereoisomers. Briefings in Bioinformatics, 2022.

6. Kun Wang, Zhengyang Zhou, Xu Wang, Pengkun Wang, Qi Fang, Yang Wang*, A2DJP: A Two Graph-based Component Fused Learning Framework for Urban Anomaly Distribution and Duration Joint-Prediction., IEEE Transactions on Knowledge and Data Engineering, (TKDE), 2022.

7. Pengkun Wang, Chaochao Zhu, Xu Wang, Zhengyang Zhou, Guang Wang, Yang Wang*, Inferring Intersection Traffic Patterns with Sparse Video Surveillance Information: An ST-GAN method., IEEE Transactions on Vehicular Technology, (TVT), 2022.

8. Wenjie Du, Lianliang Chen, Haoran Wang, Ziyang Shan, Zhengyang Zhou, Wenwei Li, Yang Wang*, Deciphering Urban Traffic Impacts on Air Quality by Deep Learning and Emission Inventor, Journal of Environmental Sciences, (JESC), 2022.

9. Yudong Zhang, Binwu Wang, Ziyang Shan, Zhengyang Zhou, Yang Wang*, CMT-Net: A Mutual Transition Aware Framework for Taxicab Pick-ups and Drop-offs Co-Prediction, ACM International Conference on Web Search and Data Mining, (WSDM), 2022.

2021 and before

1. Pengkun Wang, Chuancai Ge, Zhengyang Zhou, Xu Wang, Yuantao Li, Yang Wang*, Joint Gated Co-attention Based Multi-modal Networks for Subregion House Price Prediction, IEEE Transactions on Knowledge and Data Engineering, (TKDE), 2021.

2. Zhengyang Zhou, Yang Wang*, Xike Xie, Lei Qiao, Yuantao Li, STUaNet: Understanding Uncertainty in Spatiotemporal Collective Human Mobility, 30th The Web Conference, (WWW), 2021.

3. Zhengyang Zhou, Yang Wang*, Xike Xie, Lianliang Chen, Chaochao Zhu, Foresee Urban Sparse Traffic Accidents: A Spatiotemporal Multi-Granularity Perspective, IEEE Transactions on Knowledge and Data Engineering, (TKDE), 2021.

4. kangjia Shao, Yang Wang*, Zhengyang Zhou, Xike Xie, Guang Wang, TrajForesee: How limited detailed trajectories enhance large-scale sparse information to predict vehicle trajectories?, IEEE 37th International Conference on Data Engineering, (ICDE), 2021.

5. Ting Wang, Xike Xie*, Xin Cao, Torben Bach Pedersen, Yang Wang, Mingjun Xiao, On Efficient and Scalable Time-Continous Spatial Crowdsourcing, IEEE 37th International Conference on Data Engineering, (ICDE), 2021.

6. Yang Wang*, Zhengyang Zhou, Kai Liu, Xike Xie, Wenhua Li, Large-Scale Intelligent Taxicab Scheduling: A Distributed and Future-Aware Approach, IEEE Transactions on Vehicular Technology, (TVT), 2020.

7. Guang Wang, Fan Zhang, Huijun Sun, Yang Wang* Desheng Zhang*, Understangding the Long-Term Evolution of Electirc Taxi Networks: A Longitudinal Measurement Study on Mobility and Charging Patterns, ACM Transactions on Intelligent System and Technology, (TIST), 2020.

8. Wen Zhang, Yang Wang*, Xike Xie, Chuancai Ge, Hengchang Liu, Real-time Travel Time Estimation with Sparse Reliable Surveillance Information, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, (Ubicomp), 2020.

9. Xiaoyang Xie, Zhihan Fang, Yang Wang, Fan Zhang, Desheng Zhang, RISC: Resource-Constrained Urban Sensing Task Scheduling Based on Commercial Fleets, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, (Ubicomp), 2020.

10. Zhengyang Zhou, Yang Wang*, Xike Xie, Lianliang Chen, Hengchang Liu, RiskOracle: A Minute-level CityWide Traffic Accident Forecasting Framework, the Thirty-Fourth AAAI Conference on Artificial Intelligence, (AAAI), 2020.

11. Chuancai Ge, Yang Wang*, Xike Xie, Hengchang Liu, Zhengyang Zhou, An Integrated Model for Urban Subregion House Price Forecasting: A Multi-source Data Perspective, IEEE International Conference on Data Mining, (ICDM), 2019.

12. Guang Wang, Wenzhong Li, Jun Zhang, Yingqiang Ge, Zuohui Fu, Fan Zhang, Yang Wang*, Desheng Zhang*, sharedCharging: Data-Driven Shared Charging for Large-Scale Heterogeneous Electric Vehicle Fleets , Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, (Ubicomp), 2019. .

13. Wang Yu, Xiaoyang Xie, Zhihan Fang, Zhang Fan, Yang Wang*, Desheng Zhang*, VeMo: Enabling Transparent Vehicular Mobility Modeling at Individual Levels with Full Penetration, The 25th Annual International Conference on Mobile Computing and Networking, (Mobicom), 2019.

14. Guang Wang, Xiuyuan Chen, Fan Zhang, Yang Wang*, Desheng Zhang*, Experience: Understanding long-term evolving patterns of shared electric vehicle networks, The 25th Annual International Conference on Mobile Computing and Networking, (Mobicom), 2019.

15. Yang Wang*, Yiwei Xiao, Xike Xie, Ruoyu Chen, Hengchang Liu, Real-time Traffic Pattern Analysis and Inference with Sparse Video Surveillance Information, International Joint Conference on Artificial Intelligence, (IJCAI), 2018.

16. Linli Xu, Wenjun Ouyang, Xiaoying Ren, Yang Wang, Liang Jiang Yiwei Xiao, Xike Xie, Ruoyu Chen, Hengchang Liu, Enhancing Semantic Representations of Bilingual Word Embeddings with Syntactic Dependencies, International Joint Conference on Artificial Intelligence, (IJCAI), 2018.

17. Yang Wang*, Zhiwei Lv, Wuji Chen, Hengchang Liu, Wi-Eye: Tracking Urban Private Vehicles with Inter-vehicle Communications and Sparse Video Surveillance Cameras, IEEE International Conference on Sensing, Communication and Networking (SECON), 2018.

18. Yang Wang*, Wenjian Ding, Liusheng Huang, Wei Zheng, Hengchang Liu, John Stankovic, Towards Urban Electric Taxi Systems in Smart Cities: The Battery Swapping Challenge, IEEE Transactions on Vehicular Technology (TVT), 2017.

19. Wenjian Ding, Yang Wang*, Yan Guo, Wuji Chen, Liusheng Huang, Hengchang Liu, SmartMonitoring: Reckoning Traffic Statuses of Road System in Real-Time Based on Scarce Road Surveillance Cameras, IEEE 86th Vehicular Technology Conference (VTC-Fall), 2017.

20. Yang Wang*, Wuji Chen, Wei Zheng, He Huang, Wen Zhang, Hengchang Liu, Tracking Hit-and-Run Vehicle with Sparse Video Surveillance Cameras and Mobile Taxicabs, IEEE International Conference on Data Mining (ICDM), 2017.

21. Yang Wang*, Wuji Chen, Wei Zheng He Huang, Wen Zhang, Hengchang Liu, Toward Vehicle Sensing: An Integrated Application with Sparse Video Vameras and Intelligent Taxicabs, IEEE International Conference on Distributed Computing Systems (ICDCS), 2017.

22. Yang Wang*, Erkun Yang, Wei Zheng, Liusheng Huang, Hengchang Liu, Binxin Liang, A Realistic and Optimized V2V Communication System for Taxicabs, IEEE International Conference on Distributed Computing Systems (ICDCS), 2016.

23. Yang Wang*, Hengchang Liu, Liusheng Huang, John Stankovic, Efficient and Proactive V2V Information Diffusion using Named Data Networking, IEEE/ACM International Symposium on Quality of Service (IWQoS), 2016.

24. Yang Wang*, Binxin Liang, Wei Zheng, Liusheng Huang, Hengchang Liu, The Development of a Smart Taxicab Scheduling System: A Multi-source Data Fusion Perspective, IEEE International Conference on Data Mining (ICDM), 2016.

25. Xiaorong Lu, Yang Wang, Liusheng Huang, Wei Yang, Yao Shen1, Temporal-Spatial Aggregated Urban Air Quality Inference with Heterogeneous Big Data, International Conference on Wireless Algorithms, Systems, and Applications (WASA), 2016.

26. Yang Wang*, Liusheng Huang, Hao Wei, Wei Zheng, Tianbo Gu, Hengchang Liu, Planning Battery Swapping Stations for Urban Electrical Taxis, IEEE International Conference on Distributed Computing Systems (ICDCS), 2015.

27. Yang Wang*, Liusheng Huang, Tianbo Gu, Hao Wei, Kai Xing, Junshan Zhang, Data-driven traffic flow analysis for vehicular communications, IEEE International Conference on Computer Communications (INFOCOM), 2014.

28. Kai Xing, Zhiguo Wan, Pengfei Hu, Haojin Zhu, Yuepeng Wang, Xi Chen, Yang Wang, Liusheng Huang, Mutual Privacy-Preserving Regression Modeling in Participatory Sensing, IEEE International Conference on Computer Communications (INFOCOM), 2013.

29. Kai Xing, Tianbo Gu, Zhengang Zhao, Lei Shi, Yunhao Liu, Pengfei Hu, Yuepeng Wang, Yi Liang, Shuo Zhang, Yang Wang, Liusheng Huang,Approaching Reliable Realtime Communications: A Novel System Design and Implementation for Roadway Safety Oriented Vehicular Communications, IEEE International Conference on Computer Communications (INFOCOM), 2013.

30. Kai Xing, Tianbo Gu, Zhengang Zhao, Yang Wang, Bowu Zhang, Yi Liang, Hao Wei, Liusheng Huang, A Novel System Design and Implementation for Realtime Sensing and Warning of Roadway Hazards Round-the-Clock, Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems (ACM Sensys), 2012.

31. Dapeng Wang, Pei Li, Pengfei Hu, Kai Xing, Yang Wang, Liusheng Huang, Yanxia Rong, On the Performance of TDD and LDD Based Clone Attack Detection in Mobile Ad Hoc Networks, International Conference on Wireless Algorithms, Systems, and Applications (WASA), 2012.

32. Pengfei Hu, Kai Xing, Liusheng Huang, Yang Wang, Dapeng Wang, Pei Li, Multi-axis Projection based Giant Component Formation in Random Unit-Disk Graphs, Tsinghua Science & Technology, 2011.

33. Pengfei Hu, Kai Xing, Liusheng Huang, Yang Wang, Dapeng Wang, Pei Li, A Maximal Independent Set based Giant Component Formation in Random Unit-Disk Graphs, International Conference on Wireless Algorithms, Systems, and Applications (WASA), 2011.

34. Yang Wang*, Liusheng Huang, Wei Yang, A Novel Real-time Coal Miner Localization and Tracking System Based on Self-organized Sensor Networks, EURASIP Journal on Wireless Communications and Networking, 2010.

35. Yang Wang*, Liusheng Huang, Hongli Xu, Kai Xing, Wei Yang, Gang Liu, A WiFi-based Low-cost Mobile Video Surveillance System for Dynamic Police Force Deployment and Real-time Guard for Public Security, Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems (ACM Sensys), 2010.

36. Mingjun Xiao, Liusheng Huang, Hongli Xu, Yang Wang, Zegen Pei, Privacy Preserving Hop-distance Computation in Wireless Sensor Networks, Chinese Journal of Electronics, 2010.

37. Wei Yang, Liusheng Huang, Yang Wang, Yonglong Luo, Quantum Two-prover Bit Commitment, Chinese Journal of Electronics, 2010.