| 2026 | WWW | Breaking the Scalability Barrier in Constrained Graph-Based Networked Control via Decision-Focused Learning. | Zhaoxing Yang, Yuchen Guo, Wenlong Li, Guiyun Fan, Haiming Jin, Linghe Kong |
| 2025 | INFOCOM | m | Guiyun Fan, Rong Ding, Xiaocheng Wang, Yichen Zhu, Haiming Jin |
| 2025 | INFOCOM | Distributed On-Orbit Sparse Coding for Efficient Space Situational Awareness Image Transmission. | Yutong Liu, Haiming Jin, Yinjie Wang Yao, Yunxiang Chen, Yimin Zhao, Linghe Kong, Rui Li, Xiaoyang Liu, Guihai Chen |
| 2025 | INFOCOM | mmWave-Based Relay Reflector Reconstruction for LiDAR-Free Around-Corner Human Sensing. | Jiaxi Lv, Guiyun Fan, Xinyue Fu, Jiahui Sun, Rong Ding, Haiming Jin |
| 2025 | INFOCOM | Learning to Accelerate Traffic Allocation Over Large-Scale Networks. | Zhaoxing Yang, Guiyun Fan, Anjie Cao, Yuchen Guo, Wenlong Li, Tianyuan Liu, Haiming Jin |
| 2025 | MOBICOM | Demo: Full-stack On-device Learning for Heterogeneous Tiny Cameras. | Zijie Chen, Guiyun Fan, Haiming Jin |
| 2025 | MOBICOM | Bluetooth-Enabled Transparent RF Sensing. | Rong Ding, Haiming Jin, Ningzhi Zhu, Zijie Chen, Yi Fu, Fengyuan Zhu, Guiyun Fan, Xiaohua Tian, Linghe Kong |
| 2025 | MOBICOM | Demo: Bluetooth-Enabled Transparent RF Sensing. | Rong Ding, Haiming Jin, Ningzhi Zhu, Zijie Chen, Yi Fu, Fengyuan Zhu, Guiyun Fan, Xiaohua Tian, Linghe Kong |
| 2024 | ICPP | ChronusFed: Reinforcement-Based Adaptive Partial Training for Heterogeneous Federated Learning. | Fuyuan Xia, Chenhao Ying, David S. L. Wei, Wei Chen, Weiting Zhang, Haiming Jin, Yuan Luo |
| 2024 | KDD | Rethinking Order Dispatching in Online Ride-Hailing Platforms. | Zhaoxing Yang, Haiming Jin, Guiyun Fan, Min Lu, Yiran Liu, Xinlang Yue, Hao Pan, Zhe Xu, Guobin Wu, Qun Li, Xiaotong Wang, Jiecheng Guo |
| 2024 | MOBIHOC | Multi-Task-Oriented UAV Crowd Sensing with Charging Budget Constraint. | Jiahui Sun, Guiyun Fan, Haiming Jin, Yiwen Song, Tianyuan Liu, Chenhao Ying, Yuan Luo, Jie Li |
| 2023 | AAAI | DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent Reinforcement Learning. | Zhaoxing Yang, Haiming Jin, Rong Ding, Haoyi You, Guiyun Fan, Xinbing Wang, Chenghu Zhou |
| 2023 | AAAI | User-Oriented Robust Reinforcement Learning. | Haoyi You, Beichen Yu, Haiming Jin, Zhaoxing Yang, Jiahui Sun |
| 2023 | ICDCS | Multi-Intersection Management for Connected Autonomous Vehicles by Reinforcement Learning. | Haiming Jin, Yifei Wei, Zhaoxing Yang, Zirui Liu, Guiyun Fan |
| 2023 | IJCAI | Prediction with Incomplete Data under Agnostic Mask Distribution Shift. | Yichen Zhu, Jian Yuan, Bo Jiang, Tao Lin, Haiming Jin, Xinbing Wang, Chenghu Zhou |
| 2023 | INFOCOM | Rotation Speed Sensing with mmWave Radar. | Rong Ding, Haiming Jin, Dingman Shen |
| 2023 | INFOCOM | Multi-Objective Order Dispatch for Urban Crowd Sensing with For-Hire Vehicles. | Jiahui Sun, Haiming Jin, Rong Ding, Guiyun Fan, Yifei Wei, Lu Su |
| 2023 | SENSYS | Push the Limit of Single-Chip mmWave Radar-Based Egomotion Estimation with Moving Objects in FoV. | Rong Ding, Haiming Jin, Jianrong Ding, Xiaocheng Wang, Guiyun Fan, Fengyuan Zhu, Xiaohua Tian, Linghe Kong |
| 2022 | INFOCOM | Joint Order Dispatch and Charging for Electric Self-Driving Taxi Systems. | Guiyun Fan, Haiming Jin, Yiran Zhao, Yiwen Song, Xiaoying Gan, Jiaxin Ding, Lu Su, Xinbing Wang |
| 2022 | KDD | Optimizing Long-Term Efficiency and Fairness in Ride-Hailing via Joint Order Dispatching and Driver Repositioning. | Jiahui Sun, Haiming Jin, Zhaoxing Yang, Lu Su, Xinbing Wang |
| 2021 | GLOBECOM | Spatiotemporal Graph Neural Network for Traffic Prediction Exploiting Cascading Behavior. | Haoxiang Zhang, Xiaoying Gan, Luoyi Fu, Liyao Xiang, Haiming Jin |
| 2021 | ICDCS | Joint Order Dispatch and Repositioning for Urban Vehicle Sharing Systems via Robust Optimization. | Yiran Zhao, Guiyun Fan, Haiming Jin, Wenze Ma, Baoxiang He, Xinbing Wang |
| 2021 | ICPADS | Constrained Multi-Agent Reinforcement Learning for Managing Electric Self-Driving Taxis. | Zhaoxing Yang, Guiyun Fan, Haiming Jin |
| 2021 | INFOCOM | Multi-Agent Reinforcement Learning for Urban Crowd Sensing with For-Hire Vehicles. | Rong Ding, Zhaoxing Yang, Yifei Wei, Haiming Jin, Xinbing Wang |
| 2021 | INFOCOM | Towards Fine-Grained Spatio-Temporal Coverage for Vehicular Urban Sensing Systems. | Guiyun Fan, Yiran Zhao, Zilang Guo, Haiming Jin, Xiaoying Gan, Xinbing Wang |
| 2021 | INFOCOM | Minimizing Entropy for Crowdsourcing with Combinatorial Multi-Armed Bandit. | Yiwen Song, Haiming Jin |
| 2021 | INFOCOM | Towards Minimum Fleet for Ridesharing-Aware Mobility-on-Demand Systems. | Chonghuan Wang, Yiwen Song, Yifei Wei, Guiyun Fan, Haiming Jin, Fan Zhang |
| 2020 | CIKM | Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting. | Bin Lu, Xiaoying Gan, Haiming Jin, Luoyi Fu, Haisong Zhang |
| 2020 | CIKM | STP-TrellisNets: Spatial-Temporal Parallel TrellisNets for Metro Station Passenger Flow Prediction. | Junjie Ou, Jiahui Sun, Yichen Zhu, Haiming Jin, Yijuan Liu, Fan Zhang, Jianqiang Huang, Xinbing Wang |
| 2020 | INFOCOM | Exploring Best Arm with Top Reward-Cost Ratio in Stochastic Bandits. | Zhida Qin, Xiaoying Gan, Jia Liu, Hongqiu Wu, Haiming Jin, Luoyi Fu |
| 2020 | SECON | CHASTE: Incentive Mechanism in Edge-Assisted Mobile Crowdsensing. | Chenhao Ying, Haiming Jin, Xudong Wang, Yuan Luo |
| 2020 | SRDS | Double Insurance: Incentivized Federated Learning with Differential Privacy in Mobile Crowdsensing. | Chenhao Ying, Haiming Jin, Xudong Wang, Yuan Luo |
| 2019 | CIKM | CIKM 2019 Workshop on Artificial Intelligence in Transportation (AI in transportation). | Weinan Zhang, Haiming Jin, Lingyu Zhang, Hongtu Zhu, Zhenhui Jessie Li, Jieping Ye |
| 2019 | ICDCS | MIRAS: Model-based Reinforcement Learning for Microservice Resource Allocation over Scientific Workflows. | Zhe Yang, Phuong Nguyen, Haiming Jin, Klara Nahrstedt |
| 2019 | INFOCOM | Dynamic Task Pricing in Multi-Requester Mobile Crowd Sensing with Markov Correlated Equilibrium. | Haiming Jin, Hongpeng Guo, Lu Su, Klara Nahrstedt, Xinbing Wang |
| 2019 | MMSys | Event-driven stitching for tile-based live 360 video streaming. | Bo Chen, Zhisheng Yan, Haiming Jin, Klara Nahrstedt |
| 2019 | WWW | CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario. | Huichu Zhang, Siyuan Feng, Chang Liu, Yaoyao Ding, Yichen Zhu, Zihan Zhou, Weinan Zhang, Yong Yu, Haiming Jin, Zhenhui Li |
| 2018 | FUSION | Squadron: Incentivizing Quality-Aware Mission-Driven Crowd Sensing. | Haiming Jin, Hongpeng Guo, Klara Nahrstedt |
| 2017 | INFOCOM | CENTURION: Incentivizing multi-requester mobile crowd sensing. | Haiming Jin, Lu Su, Klara Nahrstedt |
| 2017 | MOBIHOC | Theseus: Incentivizing Truth Discovery in Mobile Crowd Sensing Systems. | Haiming Jin, Lu Su, Klara Nahrstedt |
| 2016 | ICDCS | Enabling Privacy-Preserving Incentives for Mobile Crowd Sensing Systems. | Haiming Jin, Lu Su, Bolin Ding, Klara Nahrstedt, Nikita Borisov |
| 2016 | MOBIHOC | INCEPTION: incentivizing privacy-preserving data aggregation for mobile crowd sensing systems. | Haiming Jin, Lu Su, Houping Xiao, Klara Nahrstedt |
| 2015 | MOBIHOC | Quality of Information Aware Incentive Mechanisms for Mobile Crowd Sensing Systems. | Haiming Jin, Lu Su, Danyang Chen, Klara Nahrstedt, Jinhui Xu |
| 2015 | MOBIHOC | mAuditor: Mobile Auditing Framework for mHealth Applications. | Ting-Yu Wang, Haiming Jin, Klara Nahrstedt |
| 2015 | RTSS | Data Acquisition for Real-Time Decision-Making under Freshness Constraints. | Shaohan Hu, Shuochao Yao, Haiming Jin, Yiran Zhao, Yitao Hu, Xiaochen Liu, Nooreddin Naghibolhosseini, Shen Li, Akash Kapoor, William Dron, Lu Su, Amotz Bar-Noy, Pedro A. Szekely, Ramesh Govindan, Reginald L. Hobbs, Tarek F. Abdelzaher |
| 2014 | ICNP | Cost-Minimizing Mobile Access Point Deployment in Workflow-Based Mobile Sensor Networks. | Haiming Jin, He Huang, Lu Su, Klara Nahrstedt |
| 2012 | INFOCOM | Spectrum trading with insurance in cognitive radio networks. | Haiming Jin, Gaofei Sun, Xinbing Wang, Qian Zhang |
| 2011 | GLOBECOM | Non-Cooperative Game Based Social Welfare Maximizing Bandwidth Allocation in WSNs. | Mo Dong, Haiming Jin, Gaofei Sun, Xinbing Wang, Wei Liu, Xudong Wang |
| 1997 | VLSID | FAMAS: FAult Modeling via Adaptive Simulation. | Haiming Jin, Ravishankar K. Iyer, Mei-Chen Hsueh |