Full Publications (Selected Publications)
| Journal Papers
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Chenhao Ying, Haiming Jin, Jie Li, Xueming Si, Yuan Luo, "Incentive Mechanism Design via Smart Contract in Blockchain-Based Edge-Assisted Crowdsensing", Springer Frontiers of Computer Science (FCS), Vol. 19, No. 3, Pages 193802, 2025.
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Xiaocheng Wang, Guiyun Fan, Rong Ding, Haiming Jin, Wentian Hao, Mingyuan Tao, "Water Salinity Sensing with UAV-Mounted IR-UWB Radar", ACM Transactions on Sensor Networks (TOSN), Vol. 20, No. 4, Pages 1550-4859, July 2024.
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Jiahui Sun, Haiming Jin, Zhaoxing Yang, Lu Su, "Optimizing Long-Term Efficiency and Fairness in Ride-Hailing under Budget Constraint via Joint Order Dispatching and Driver Repositioning", IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 36, No. 07, Pages 3348-3362, July 2024.
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Yichen Zhu, Bo Jiang, Haiming Jin, Mengtian Zhang, Feng Gao, Jianqiang Huang, Tao Lin, Xinbing Wang, "Networked Time Series Prediction with Incomplete Data via Generative Adversarial Network", ACM Transactions on Knowledge Discovery from Data (TKDD), Vol. 18, Issue 5, No. 115, Pages 1-25, June 2024.
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Xikun Jiang, Chenhao Ying, Lei Li, Boris Dudder, Haiqin Wu, Haiming Jin, Yuan Luo, "Incentive Mechanism for Uncertain Tasks under Differential Privacy", IEEE Transactions on Services Computing (TSC), Vol. 17, No. 03, Pages 977-989, 2024.
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Xinyu Lu, Jie Li, Shijing Yuan, Haiming Jin, Chentao Wu, Zhan Xu, "Towards Real-Time Pricing and Allocation for Surplus Resources in Electric Bus Charging Stations", IEEE Transactions on Intelligent Transportation Systems (TITS), Vol. 25, Issue 2, Pages 2101-2115, February 2024.
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Junjie Ou, Jiahui Sun, Yichen Zhu, Haiming Jin, Yijuan Liu, Fan Zhang, Jianqiang Huang, Xinbing Wang, "STP-TrellisNets+: Spatial-Temporal Parallel TrellisNets for Multi-Step Metro Station Passenger Flow Prediction", IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 35, Issue 7, Pages 7526-7540, July 2023.
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Junjie Ou, Haiming Jin, Xiaocheng Wang, Hao Jiang, Xinbing Wang, Chenghu Zhou, "STA-TCN: Spatial-Temporal Attention over Temporal Convolutional Network for Next Point-of-Interest Recommendation", ACM Transactions on Knowledge Discovery from Data (TKDD) Vol. 22, Issue 17, Article No. 124, June 2023.
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Chonghuan Wang, Yiwen Song, Guiyun Fan, Haiming Jin, Lu Su, Fan Zhang, Xinbing Wang, "Optimizing Cross-Line Dispatching for Minimum Electric Bus Fleet", IEEE Transactions on Mobile Computing (TMC), Vol. 22, Issue 4, Pages 2307-2322, April 2023.
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Rong Ding, Haiming Jin, Dong Xiang, Xiaocheng Wang, Yongkui Zhang, Lu Su, Wentian Hao, Mingyuan Tao, Xinbing Wang, Chenghu Zhou, "Soil Moisture Sensing with UAV-Mounted IR-UWB Radar and Deep Learning", Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Vol. 7, No. 1, Article 11, March 2023.
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Yuqing Li, Wenkuan Dai, Xiaoying Gan, Haiming Jin, Luoyi Fu, Huadong Ma, Xinbing Wang, "Cooperative Service Placement and Scheduling in Edge Clouds: A Deadline-Driven Approach", IEEE Transactions on Mobile Computing (TMC), Vol. 21, Issue 10, Pages 3519-3535, October 2022.
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Enshu Wang, Rong Ding, Zhaoxing Yang, Haiming Jin, Chenglin Miao, Lu Su, Fan Zhang, Chunming Qiao, Xinbing Wang, "Joint Charging and Relocation Recommendation for E-Taxi Drivers via Multi-Agent Mean Field Hierarchical Reinforcement Learning", IEEE Transactions on Mobile Computing (TMC), Vol. 21, Issue 4, Pages 1274-1290, April 2022.
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Bin Lu, Xiaoying Gan, Haiming Jin, Luoyi Fu, Xinbing Wang, Haisong Zhang, "Make More Connections: Urban Traffic Flow Forecasting with Spatiotemporal Adaptive Gated Graph Convolution Network", ACM Transactions on Intelligent Systems and Technology (TIST), Vol. 13, Issue 2, No. 28, April 2022.
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Guiyun Fan, Zhaoxing Yang, Haiming Jin, Xiaoying Gan, Xinbing Wang, "Enabling Optimal Control under Demand Elasticity for Electric Vehicle Charging Systems", IEEE Transactions on Mobile Computing (TMC), Vol. 21, Issue 3, Pages 955-970, March 2022.
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Xiong Wang, Riheng Jia, Luoyi Fu, Haiming Jin, Xiaohua Tian, Xiaoying Gan, Xinbing Wang, "Online Spatial Crowdsensing with Expertise-aware Truth Inference and Task Allocation", IEEE Journal on Selected Areas in Communications (JSAC), Vol. 40, Issue 1, Pages 412-427, January 2022.
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Guiyun Fan, Haiming Jin, Qihong Liu, Wei Qin, Xiaoying Gan, Huan Long, Luoyi Fu, Xinbing Wang, "Joint Scheduling and Incentive Mechanism for Spatio-Temporal Vehicular Crowd Sensing", IEEE Transactions on Mobile Computing (TMC), Vol. 20, Issue 4, Pages 1449-1464, April 2021.
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Yuqing Li, Xiong Wang, Xiaoying Gan, Haiming Jin, Luoyi Fu, Xinbing Wang, "Learning-Aided Computation Offloading for Trusted Collaborative Mobile Edge Computing", IEEE Transactions on Mobile Computing (TMC), Vol. 19, Issue 12, Pages 2833-2849, December 2020.
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Zhida Qin, Ziquan You, Haiming Jin, Xiaoying Gan, Jingchao Wang, "Homophily-Driven Evolution Increases the Diffusion Accuracy in Social Networks", IEEE Transactions on Network Science and Engineering (TNSE), Vol. 7, Issue 4, Pages 2680-2692, December 2020.
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Tuo Yu, Haiming Jin, Klara Nahrstedt, "Mobile Devices based Eavesdropping of Handwriting", IEEE Transactions on Mobile Computing (TMC), Vol. 19, Issue 7, Pages 1649-1663, July 2020.
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Xiaoying Gan, Haoxiang Zhang, Zhida Qin, Haiming Jin, "Fast Charging Station Deployment Considering Elastic Demand", IEEE Transactions on Transportation Electrification (TTE), Vol. 6, Issue 1, Pages 158-169, March 2020.
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Haiming Jin, Baoxiang He, Lu Su, Klara Narstedt, Xinbing Wang, "Data-Driven Pricing for Sensing Effort Elicitation in Mobile Crowd Sensing Systems", IEEE/ACM Transactions on Networking (TON), Vol. 27, Issue 6, Pages 2208-2221, December 2019.
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Haiming Jin, Lu Su, Danyang Chen, Hongpeng Guo, Klara Nahrstedt, Jinhui Xu, "Thanos: Incentive Mechanism with Quality Awareness for Mobile Crowd Sensing", IEEE Transactions on Mobile Computing (TMC), Vol. 18, No. 8, Pages 1951-1964, August 2019.
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Tuo Yu, Haiming Jin, Klara Nahrstedt, "ShoesLoc: In-Shoe Force Sensor-Based Indoor Walking Path Tracking", Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Vol. 3, Issue 1, No. 31, March 2019.
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Tuo Yu, Haiming Jin, Wai-Tian Tan, Klara Nahrstedt, "SKEPRID: Pose and Illumination Change-Resistant Skeleton-Based Person Re-Identification", ACM Transactions on Multimedia Computing Communcations and Applications (TOMM), Vol. 14, Issue. 4, Article No. 82, October 2018.
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Haiming Jin, Lu Su, Houping Xiao, Klara Nahrstedt, "Incentive Mechanism for Privacy-Aware Data Aggregation in Mobile Crowd Sensing Systems", IEEE/ACM Transactions on Networking (TON), Vol. 26, No. 5, Pages 2019-2032, August 2018.
| Conference Papers
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Jiahui Sun, Guiyun Fan, Haiming Jin, Yiwen Song, Tianyuan Liu, Chenhao Ying, Yuan Luo, Jie Li, "Multi-Task-Oriented UAV Crowd Sensing with Charging Budget Constraint", the 25th International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc 2024), Athens, Greece, October 2024.
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Fuyuan Xia, Chenhao Ying, David S. L. Wei, Wei Chen, Weiting Zhang, Haiming Jin, Yuan Luo, "ChronusFed: Reinforcement-Based Adaptive Partial Training for Heterogeneous Federated Learning", the 53rd International Conference on Parallel Processing (ICPP 2024), Gotland, Sweden, August 2024.
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Zhaoxing Yang, Haiming Jin, Guiyun Fan, Min Lu, Yiran Liu, Xinlang Yue, Hao Pan, Zhe Xu, Guobin Wu, Qun Li, Xiaotong Wang, Jiecheng Guo, "Rethinking Order Dispatching in Online Ride-Hailing Platforms", the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024), Barcelona, Spain, August 2024.
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Zhaoxing Yang, Haiming Jin, Yao Tang, Guiyun Fan, "Risk-Aware Constrained Reinforcement Learning with Non-Stationary Policies", the 23rd International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2024), Aukland, New Zealand, May 2024.
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Rong Ding, Haiming Jin, Jianrong Ding, Xiaocheng Wang, Guiyun Fan, Fengyuan Zhu, Xiaohua Tian, Linghe Kong, "Push the Limit of Single-Chip mmWave Radar-Based Egomotion Estimation with Moving Objects in FoV", the 21st ACM Conference on Embedded Networked Sensor Systems (SenSys 2023), Istanbul, Turkey, November 2023.
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Yichen Zhu, Jian Yuan, Bo Jiang, Tao Lin, Haiming Jin, Xinbing Wang, Chenghu Zhou, "Prediction with Incomplete Data under Agnostic Mask Distribution Shift", the 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), Macao, China, August 2023.
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Haiming Jin, Yifei Wei, Zhaoxing Yang, Zirui Liu, Guiyun Fan, "Multi-Intersection Management for Connected Autonomous Vehicles by Reinforcement Learning", the 43rd IEEE International Conference on Distributed Computing Systems (ICDCS 2023), Hong Kong, China, July 2023.
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Rong Ding, Haiming Jin, Dingman Shen, "Rotation Speed Sensing with mmWave Radar", the 42nd IEEE International Conference on Computer Communications (INFOCOM 2023), New York area, USA, May 2023.
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Jiahui Sun, Haiming Jin, Rong Ding, Guiyun Fan, Yifei Wei, Lu Su, "Multi-Objective Order Dispatch for Urban Crowd Sensing with For-Hire Vehicles", the 42nd IEEE International Conference on Computer Communications (INFOCOM 2023), New York area, USA, May 2023.
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Zhaoxing Yang, Haiming Jin, Rong Ding, Haoyi You, Guiyun Fan, Xinbing Wang, Chenghu Zhou, "DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent Reinforcement Learning", the 37th AAAI Conference on Artificial Intelligence (AAAI 2023), Washington DC, USA, February 2023.
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Haoyi You, Beichen Yu, Haiming Jin, Zhaoxing Yang, Jiahui Sun, "User-Oriented Robust Reinforcement Learning", the 37th AAAI Conference on Artificial Intelligence (AAAI 2023), Washington DC, USA, February 2023.
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Jiahui Sun, Haiming Jin, Zhaoxing Yang, Lu Su, Xinbing Wang, "Optimizing Long-Term Efficiency and Fairness in Ride-Hailing via Joint Order Dispatching and Driver Repositioning", the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022), Washington DC, USA, August 2022.
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Guiyun Fan, Haiming Jin, Yiran Zhao, Yiwen Song, Xiaoying Gan, Jiaxin Ding, Lu Su, Xinbing Wang, "Joint Order Dispatch and Charging for Electric Self-Driving Taxi Systems", the 41st IEEE International Conference on Computer Communications (INFOCOM 2022), Virtual Conference, May 2022.
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Zhaoxing Yang, Guiyun Fan, Haiming Jin, "Constrained Multi-Agent Reinforcement Learning for Managing Electric Self-Driving Taxis", the 27th IEEE International Conference on Parallel and Distributed Systems (ICPADS 2021), Beijing, China, December 2021.
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Haoxiang Zhang, Xiaoying Gan, Luoyi Fu, Liyao Xiang, Haiming Jin, "Spatiotemporal Graph Neural Network for Traffic Prediction Exploiting Cascading Behavior", the 64th IEEE Global Communications Conference (GLOBECOM 2021), Madrid, Spain, Hybrid: In-Person and Virtual Conference, December 2021.
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Yiran Zhao, Guiyun Fan, Haiming Jin, Wenze Ma, Baoxiang He, Xinbing Wang, "Joint Order Dispatch and Repositioning for Urban Vehicle Sharing Systems via Robust Optimization", the 41st IEEE International Conference on Distributed Computing Systems (ICDCS 2021), Virtual Conference, July 2021.
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Rong Ding, Zhaoxing Yang, Yifei Wei, Haiming Jin, Xinbing Wang, "Multi-Agent Reinforcement Learning for Urban Crowd Sensing with For-Hire Vehicles", the 40th IEEE International Conference on Computer Communications (INFOCOM 2021), Virtual Conference, May 2021.
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Guiyun Fan, Yiran Zhao, Ziliang Guo, Haiming Jin, Xiaoying Gan, Xinbing Wang, "Towards Fine-Grained Spatio-Temporal Coverage for Vehicular Urban Sensing Systems", the 40th IEEE International Conference on Computer Communications (INFOCOM 2021), Virtual Conference, May 2021.
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Chonghuan Wang, Yiwen Song, Yifei Wei, Guiyun Fan, Haiming Jin, Fan Zhang, "Towards Minimum Fleet for Ridesharing-Aware Mobility-on-Demand Systems", the 40th IEEE International Conference on Computer Communications (INFOCOM 2021), Virtual Conference, May 2021.
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Yiwen Song, Haiming Jin, "Minimizing Entropy for Crowdsourcing with Combinatorial Multi-Armed Bandit", the 40th IEEE International Conference on Computer Communications (INFOCOM 2021), Virtual Conference, May 2021.
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Chang Liu, Jiahui Sun, Haiming Jin, Meng Ai, Qun Li, Cheng Zhang, Kehua Sheng, Guobin Wu, Xiaohu Qie, Xinbing Wang, "Spatio-Temporal Hierarchical Adaptive Dispatching for Ridesharing Systems", the 28th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL 2020), Seattle, Washington, USA, November 2020.
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Abhishek Gupta, Abhinav Khare, Haiming Jin, Adel Sadek, Lu Su, Chunming Qiao, "Estimation of Road Transverse Slope Using Crowd-Sourced Data from Smartphones", the 28th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL 2020), Seattle, Washington, USA, November 2020.
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Junjie Ou, Jiahui Sun, Yichen Zhu, Haiming Jin, Yijuan Liu, Fan Zhang, Jianqiang Huang, Xinbing Wang, "STP-TrellisNets: Spatial-Temporal Parallel TrellisNets for Metro Station Passenger Flow Prediction", the 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), Virtual Conference, October 2020.
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Bin Lu, Xiaoying Gan, Haiming Jin, Luoyi Fu, Haisong Zhang, "Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting", the 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), Virtual Conference, October 2020.
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Chenhao Ying, Haiming Jin, Xudong Wang, Yuan Luo, "Double Insurance: Incentivized Federated Learning with Differential Privacy in Mobile Crowdsensing", the 39th International Symposium on Reliable Distributed Systems (SRDS 2020), Shanghai, China, September 2020.
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Chenhao Ying, Haiming Jin, Xudong Wang, Yuan Luo, "CHASTE: Incentive Mechanism in Edge-Assisted Mobile Crowdsensing", the 17th Annual IEEE International Conference on Sensing, Communication and Networking (SECON 2020), Virtual Conference, June 2020.
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Zhida Qin, Xiaoying Gan, Jia Liu, Hongqiu Wu, Haiming Jin, Luoyi Fu, "Exploring Best Arm with Top Reward-Cost Ratio in Stochastic Bandits", the 39th IEEE International Conference on Computer Communications (INFOCOM 2020), Beijing, China, April 2020.
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Zhe Yang, Phuong Nguyen, Haiming Jin, Klara Nahrstedt, "MIRAS: Model-based Reinforcement Learning for Microservice Resource Allocation over Scientific Workflows", the 39th IEEE International Conference on Distributed Computing Systems (ICDCS 2019), Dallas, USA, July 2019.
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Bo Chen, Zhisheng Yan, Haiming Jin, Klara Nahrstedt, "Event-driven Stitching for Tile-based 360 Video Live Streaming", the 10th ACM Multimedia Systems Conference (MMSys 2019), Amherst, USA, June 2019.
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Haiming Jin, Hongpeng Guo, Lu Su, Klara Nahrstedt, Xinbing Wang, "Dynamic Task Pricing in Multi-Requester Mobile Crowd Sensing with Markov Correlated Equilibrium", the 38th IEEE International Conference on Computer Communications (INFOCOM 2019), Paris, France, April 2019.
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Haiming Jin, Hongpeng Guo, Klara Nahrstedt, "Squadron: Incentivizing Quality-Aware Mission-Driven Crowd Sensing", the 21st International Conference on Information Fusion (FUSION 2018), Cambridge, UK, July 2018 (Invited Paper).
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Tuo Yu, Haiming Jin, Klara Nahrstedt, "Audio based Handwriting Input for Tiny Mobile Devices", the 1st IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR 2018), Miami, USA, April 2018 (Invited Paper).
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Haiming Jin, Lu Su, Klara Nahrstedt, "Theseus: Incentivizing Truth Discovery in Mobile Crowd Sensing Systems", the 18th ACM Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc 2017), Chennai, India, July 2017.
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Haiming Jin, Lu Su, Klara Nahrstedt, "CENTURION: Incentivizing Multi-Requester Mobile Crowd Sensing", the IEEE International Conference on Computer Communications 2017 (INFOCOM 2017), Atlanta, GA, USA, May, 2017.
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Tuo Yu, Haiming Jin, Klara Nahrstedt, "WritingHacker: Audio based Eavesdropping of Handwriting via Mobile Devices", the 2016 ACM Joint International Conference on Pervasive and Ubiquitous Computing (UbiComp 2016), Heidelberg, Germany, September 2016.
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Haiming Jin, Lu Su, Houping Xiao, Klara Nahrstedt, "INCEPTION: Incentivizing Privacy-Preserving Data Aggregation for Mobile Crowd Sensing Systems", the 17th ACM Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc 2016), Paderborn, Germany, July 2016.
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Haiming Jin, Lu Su, Bolin Ding, Klara Nahrstedt, Nikita Borisov, "Enabling Privacy-Preserving Incentives for Mobile Crowd Sensing Systems", the 36th International Conference on Distributed Computing Systems (ICDCS 2016), Nara, Japan, June 2016.
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Shaohan Hu, Shuochao Yao, Haiming Jin, Yiran Zhao, Yitao Hu, Xiaochen Liu, Nooreddin Naghibolbosseini, Shen Li, Akash Kapoor, William Dron, Lu Su, Amotz Bar-Noy, Pedro Szekely, Ramesh Govindan, Reginald Hobbs, Tarek Abdelzaher, "Data Acquisition for Real-time Decision-making Under Freshness Constraints", the 36th IEEE Real-time System Symposium (RTSS 2015), San Antonio, USA, December 2015.
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Haiming Jin, Lu Su, Danyang Chen, Klara Nahrstedt, Jinhui Xu, "Quality of Information Aware Incentive Mechanisms for Mobile Crowd Sensing Systems", the 16th ACM Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc 2015), Hangzhou, China, June 2015.
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Haiming Jin, He Huang, Lu Su, Klara Nahrstedt, "Cost-minimizing Mobile Access Point Deployment in Workflow-based Mobile Sensor Networks", the 22nd IEEE International Conference on Network Protocols (ICNP 2014), Research Triangle, USA, October 2014.
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Haiming Jin, Suleyman Uludag, King-Shan Lui, Klara Nahrstedt, "Secure Data Collection in Constrained Tree-Based Smart Grid Environments", the 5th IEEE International Conference on Smart Grid Communications (SmartGridComm 2014), Venice, Italy, November 2014.
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Haiming Jin, Gaofei Sun, Xinbing Wang, Qian Zhang, "Spectrum Trading with Insurance in Cognitive Radio Networks", the 31st Annual IEEE International Conference on Computer Communications (INFOCOM 2012), Orlando, USA, March 2012.
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Mo Dong, Haiming Jin, Gaofei Sun, Xinbing Wang, Wei Liu, Xudong Wang, "Non-cooperative Game Based Social Welfare Maximizing Bandwidth Allocation in WSNs", the 54th IEEE Global Communications Conference (GLOBECOM 2011), Houston, USA, December 2011.
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