Dr. Linghe Kong 孔令和

长江学者特聘教授
Professor (教授)
Ph.D. Advisor (博导)

Department of Computer Science and Engineering (计算机科学与工程系)
School of Cyber Science and Engineering (网络空间安全学院)，书记
School of Electronic Information and Electrical Engineering (电子信息与电气工程学院)，副院长
Shanghai Jiao Tong University (上海交通大学)
Office: Rm. 3-522, SEIEE Building, No. 800, Dongchuan Road, Shanghai, 200240
Phone: 021-34208292
Email: linghe.kong@sjtu.edu.cn

Homepage: http://www.cs.sjtu.edu.cn/~linghe.kong/

Looking for motivated Post-doc, PhD, and Master Students! Visiting and undergraduate students are also welcome!

Biography

Linghe Kong is currently a professor with the Department of Computer Science and Engineering at Shanghai Jiao Tong University. He previously served as a postdoctoral researcher at Columbia University, McGill University, and Singapore University of Technology and Design. He received his Ph.D. degree at Shanghai Jiao Tong University, 2013, his Master degree at TELECOM SudParis (ex. INT), 2007, and his Bachelor degree at Xidian University, 2005. His research interests include Internet of things, satellite network, big data, artificial intelligence, cyber security, operating system, and mobile computing.

Teaching

CS339 CS3311 Computer Networks 2024Fall, 2023Fall, 2022Fall, 2021Fall, 2020Fall, 2019Fall, 2018Fall, 2017Fall, 2017Spring
CS306 Computer Networks 2019Spring, 2018Spring, 2017Spring
MEM8305 Mobile Internet 2024Spring, 2023Spring, 2022Spring, 2021Spring, 2020Spring
MY26017 Engineering Information Management 2020Fall, 2019Fall
AI007 Artificial Intelligence 2024Fall, 2024Spring, 2023Fall, 2022Fall, 2021Fall, 2020Fall
CS0502 Introduction to Computer Science 2021Spring

Selected Publications (Click here for my complete publication list)

Textbook
[1] 孔令和，李雪峰，柴方明, "物联网操作系统原理(LiteOS)"，人民邮电出版社，2020， ISBN 978-7-115-53175-9. 课件材料
[2] 刘雨桐，孔令和，汪洋，薛广涛, "工程信息管理"，清华大学出版社，2025， ISBN 978-7-302-68753-5.

Monograph
[1] Linghe Kong, Bowen Wang, Guihai Chen. "When Compressive Sensing Meets Mobile Crowdsensing". Springer, 2019, ISBN 9789811377754.
[2] Linghe Kong, Tian Huang, Yongxin Zhu, Shenghua Yu. (Ed.) "Big Data in Astronomy". Elsevier, 2020, ISBN 9780128190845.
[3] Kayhan Zrar Ghafoor, Kevin Curran, Linghe Kong, Ali Safa Sadiq. (Ed.) "Security and Organization within IoT and Smart Cities". CRC Press, 2020, eBook ISBN 9781003018636.
[4] Jiadi Yu, Hao Kong, Linghe Kong. "WiFi Signal-based User Authentication". Springer, 2023, ISBN 9789819959136.

Conference Proceedings
[1] Gerard Memmi, Baijian Yang, Linghe Kong, Tianwei Zhang, Meikang Qiu. "Knowledge Science, Engineering and Management" (15th International Conference, KSEM 2022, Singapore, August 6–8, 2022, Proceedings, Part I, II, III). Springer, 2022, ISBN 9783031109829, 9783031109850, 9783031109881.

Conference
[SIGCOMM] Qiao Xiang, Chenyang Huang, Ridi Wen, Yuxin Wang, Xiwen Fan, Zaoxing Liu, Linghe Kong, Dennis Duan, Franck Le, Wei Sun. "Beyond a Centralized Verifier: Scaling Data Plane Checking via Distributed, On-Device Verification". ACM SIGCOMM, New York, NY, USA, 2023.
[MOBICOM] Yimin Zhao, Weibo Wang, Xiong Wang, Linghe Kong, Jiadi Yu, Yifei Zhu, Shiyuan Li, Chong He, Guihai Chen. "B2LoRa: Boosting LoRa Transmission for Satellite-IoT Systems with Blind Coherent Combining". ACM MOBICOM, Hong Kong, China, 2025.
[MOBICOM] Rong Ding, Haiming Jin, Ningzhi Zhu, Zijie Chen, Yi Fu, Fengyuan Zhu, Guiyun Fan, Xiaohua Tian, Linghe Kong. "Bluetooth-Enabled Transparent RF Sensing". ACM MOBICOM, Hong Kong, China, 2025.
[MOBICOM] Xiong Wang, Jun Huang, Bizhao Shi, Zhe Ou, Guojie Luo, Linghe Kong, Daqing Zhang, Chenren Xu. "RFSIFTER: Sifting Signals at Layer-0.5 to Mitigate Ambient Wideband Interference for IoT". ACM MOBICOM, Madrid, Spain, 2023.
[MOBICOM] Liang He, Linghe Kong, Ziyang Liu, Yuanchao Shu, Cong Liu. "Diagnosing Vehicles with Automotive Batteries". ACM MOBICOM, Los Cabos, Mexico, 2019.
[MOBICOM] Linghe Kong, Xue Liu. "mZig: Enabling Multi-Packet Reception in ZigBee". ACM MOBICOM, Paris, France, 2015.
[MOBISYS] Yunzhong Chen, Jiadi Yu, Yingying Chen, Linghe Kong, Yanmin Zhu, Yi-Chao Chen. "RFSpy: Eavesdropping on Online Conversations with Out-of-Vocabulary Words by Sensing Metal Coil Vibration of Headsets Leveraging RFID". ACM MOBISYS, Tokyo, Japan, 2024.
[MOBISYS] Rui Kong, Yuanchun Li, Yizhen Yuan, Linghe Kong. "ConvReLU++: Reference-based Lossless Acceleration of Conv-ReLU Operations on Mobile CPU". ACM MOBISYS, Helsinki, Finland, 2023.
[MOBISYS] Jiahong Xie, Hao Kong, Jiadi Yu, Yingying Chen, Linghe Kong, Yanmin Zhu, Feilong Tang. "mm3DFace: Nonintrusive 3D Facial Reconstruction Leveraging mmWave Signals". ACM MOBISYS, Helsinki, Finland, 2023.
[MOBISYS] Hao Kong, Xiangyu Xu, Jiadi Yu, Qilin Chen, Chenguang Ma, Yingying Chen,Y-Chao Chen, Linghe Kong. "m^3Track: mmWave-based Multi-User 3D Posture Tracking". ACM MOBISYS, Portland, Oregon, USA, 2022.
[MOBISYS] Xiangyu Xu, Jiadi Yu, Yingying Chen,Yanmin Zhu, Linghe Kong, Minglu Li. "Fine-grained Breathing Monitoring in Driving Environments Utilizing Acoustic Signals". ACM MOBISYS, Seoul, South Korea, 2019.
[SENSYS] 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". ACM SENSYS, Istanbul, Turkiye, 2023.
[SENSYS] Xiong Wang, Linghe Kong, Zucheng Wu, Long Cheng, Chenren Xu, Guihai Chen. "SLoRa: Towards Secure LoRa Communications with Fine-grained Physical Layer Features". ACM SENSYS, Yokohama, Japan, 2020.
[ATC] Zhe Wang, Huanwu Hu, Linghe Kong, Xinlei Kang, Qiao Xiang, Jingxuan Li, Yang Lu, Zhuo Song, Peihao Yang, Jiejian Wu, Yong Yang, Tao Ma, Zheng Liu, Xianlong Zeng, Dennis Cai, Guihai Chen. "Diagnosing Application-network Anomalies for Millions of IPs in Production Clouds". USENIX ATC, Santa Clara, USA, 2024.
[ATC] Zhe Wang, Teng Ma, Linghe Kong, Zhenzao Wen, Jingxuan Li, Zhuo Song, Yang Lu, Yong Yang, Tao Ma, Guihai Chen, Wei Cao. "Zero Overhead Monitoring for Cloud-native Infrastructure using RDMA". USENIX ATC, Carlsbad, CA, USA, 2022.
[UBICOMP] Yunzhong Chen, Jiadi Yu, Linghe Kong, Hao Kong, Yanmin Zhu, Yi-Chao Chen. "RF-Mic: Live Voice Eavesdropping via Capturing Subtle Facial Speech Dynamics Leveraging RFID". ACM UBICOMP, 2023.
[UBICOMP] Yutong Liu, Landu Jiang, Linghe Kong, Qiao Xiang, Xue Liu, Guihai Chen. "Wi-Fruit: See Through Fruits with Smart Devices". ACM UBICOMP, 2022.
[INFOCOM] Yutong Liu, Haiming Jin, Wangyinjie Yao, Yunxiang Chen, Yimin Zhao, Linghe Kong, Rui Li, Xiao-Yang Liu. "Distributed On-Orbit Sparse Coding for Efficient Space Situational Awareness Image Transmission". IEEE INFOCOM, London, UK, 2025.
[INFOCOM] Xing Fang, Feiyan Ding, Bang Huang, Ziyi Wang, Gao Han, Rulan Yang, Lizhao You, Qiao Xiang, Linghe Kong, Yutong Liu, Jiwu Shu. "Network Can Help Check Itself: Accelerating SMT-based Network Configuration Verification Using Network Domain Knowledge". IEEE INFOCOM, Vancouver, Canada, 2024.
[INFOCOM] Zhe Wang, Linghe Kong, Longfei Shangguan, Liang He, Kangjie Xu, Yifeng Cao, Hui Yu, Qiao Xiang, Jiadi Yu, Teng Ma, Zhuo Song, Zheng Liu, Guihai Chen. "LigBee: Symbol-Level Cross-Technology Communication from LoRa to ZigBee". IEEE INFOCOM, New York, USA, 2023.
[INFOCOM] Hao Kong, Li Lu, Jiadi Yu, Yanmin Zhu, Feilong Tang, Yi-Chao Chen, Linghe Kong, Feng Lyu. "Push the Limit of WiFi-based User Authentication towards Undefined Gestures". IEEE INFOCOM, Virtual Conference, 2022.
[INFOCOM] Zhe Wang, Linghe Kong, Kangjie Xu, Liang He, Kaishun Wu, Guihai Chen. "Online Concurrent Transmissions at LoRa Gateway". IEEE INFOCOM, Toronto, Canada, 2020.
[INFOCOM] Lanqing Yang, Yi-Chao Chen, Hao Pan, Dian Ding, Guangtao Xue, Linghe Kong, Jiadi Yu, Minglu Li. "MagPrint: Deep Learning Based User Fingerprinting Using Electromagnetic Signals". IEEE INFOCOM, Toronto, Canada, 2020.
[INFOCOM] Fudong Qiu, Zhengxian He, Linghe Kong, Fan Wu. "MAGIK: An Efficient Key Extraction Mechanism Based on Dynamic Geomagnetic Field". IEEE INFOCOM, Atlanta, GA, USA, 2017.
[INFOCOM] Xi Chen, Linghe Kong, Xue Liu, Lei Rao, Fan Bai, Qiao Xiang. "How Cars Talk Louder, Clearer and Fairer: Optimizing the Communication Performance of Connected Vehicles via Online Synchronous Control". IEEE INFOCOM, San Francisco, CA, USA, 2016.
[INFOCOM] Qiao Xiang, Xi Chen, Linghe Kong, Lei Rao, Xue Liu. "Data Preference Matters: A New Perspective of Safety Data Dissemination in Vehicular Ad Hoc Networks". IEEE INFOCOM, Hong Kong, China, 2015.
[INFOCOM] Linghe Kong, Liang He, Yu Gu, Min-You Wu, Tian He. "A Parallel Identification Protocol for RFID Systems". IEEE INFOCOM, Toronto, Canada, 2014.
[INFOCOM] Linghe Kong, Mingyuan Xia, Xiao-Yang Liu, Min-You Wu, Xue Liu. "Data Loss and Reconstruction in Sensor Networks". IEEE INFOCOM, Turin, Italy, 2013.
[RTSS] Fanxin Kong, Qiao Xiang, Linghe Kong, and Xue Liu. "On-Line Event-Driven Scheduling for Electric Vehicle Charging via Park-and-Charge". IEEE RTSS, Porto, Portugal, 2016.
[RTSS] Liang He, Lipeng Gu, Linghe Kong, Yu Gu, Cong Liu and Tian He. "Exploring Adaptive Reconfiguration to Optimize Energy Efficiency in Large Battery Systems". IEEE RTSS, Vancouver, Canada, 2013.
[VLDB] Haoze Song, Yongqi Wang, Xusheng Chen, Hao Feng, Yazhi Feng, Xieyun Fang, Heming Cui, Linghe Kong. "K2: On Optimizing Distributed Transactions in a Multi-region Data Store with TrueTime Clocks". VLDB, London, United Kingdom, 2025.
[WWW] Junqin Huang, Linghe Kong, Guanjie Cheng, Qiao Xiang, Guihai Chen, Gang Huang, Xue Liu. "Advancing Web 3.0: Making Smart Contracts Smarter on Blockchain". ACM WWW, Singapore, USA, 2024.
[KDD] Yuchen Li, Haoyi Xiong, Yongqi Zhang, Jiang Bian, Tianhao Peng, Xuhong Li, Shuaiqiang Wang, Linghe Kong, Dawei Yin . "RankElectra: Semi-supervised Pre-training of Learning-to-Rank Electra for Web-scale Search". ACM KDD, Toronto, ON, Canada, 2025.
[KDD] Yuchen Li, Haoyi Xiong, Linghe Kong, Qingzhong Wang, Shuaiqiang Wang, Guihai Chen, Dawei Yin. "S2phere: Semi-Supervised Pre-training for Web Search over Heterogeneous Learning to Rank Data". ACM KDD, Long Beach, CA, USA, 2023.
[NeurIPS] Yiheng Wang, Tianyu Wang, YuYing Zhang, Hongji Zhang, Haoyu Zheng, Guanjie Zheng, Linghe Kong. "UrbanDataLayer: A Unified Data Pipeline for Urban Science". NeurIPS, Vancouver, Canada, 2024.
[NeurIPS] Haizhou Du, Yijian Chen, Ryan Yang, Yuchen Li, Linghe Kong. "HyperPrism: An Adaptive Non-linear Aggregation Framework for Distributed Machine Learning over Non-IID Data and Time-varying Communication Links". NeurIPS, Vancouver, Canada, 2024.
[NeurIPS] Jianrong Ding, Zhanyu Liu, Guanjie Zheng, Haiming Jin, Linghe Kong. "CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting". NeurIPS, Vancouver, Canada, 2024.
[NeurIPS] Kai Liu, Haotong Qin, Yong Guo, Xin Yuan, Linghe Kong, Guihai Chen, Yulun Zhang. "2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution". NeurIPS, Vancouver, Canada, 2024.
[NeurIPS] Zheng Chen, Haotong Qin, Yong Guo, Xiongfei Su, Xin Yuan, Linghe Kong, Yulun Zhang. "Binarized Diffusion Model for Image Super-Resolution". NeurIPS, Vancouver, Canada, 2024.
[NeurIPS] Zheng Chen, Yulun Zhang, Ding Liu, Bin Xia, Jinjin Gu, Linghe Kong, Xin Yuan. "Hierarchical Integration Diffusion Model for Realistic Image Deblurring". NeurIPS, New Orleans, Louisiana, USA, 2023.
[NeurIPS] Zheng Chen, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan. "Cross Aggregation Transformer for Image Restoration". NeurIPS, New Orleans, Louisiana, USA, 2022.
[ICML] Chunming He, Rihan Zhang, Fengyang Xiao, Chengyu Fang, Longxiang Tang, Yulun Zhang, Linghe Kong, Deng-Ping Fan, Kai Li, Sina Farsiu. "RUN: Reversible Unfolding Network for Concealed Object Segmentation". ICML, Vancouver, Canada, 2025.
[ICML] Kai Liu, Kaicheng Yang, Zheng Chen, Zhiteng Li, Yong Guo, Wenbo Li, Linghe Kong,Yulun Zhang. "BiMaCoSR: Binary One-Step Diffusion Model Leveraging Flexible Matrix Compression for Real Super-Resolution". ICML, Vancouver, Canada, 2025.
[ICCV] Zheng Chen, Yulun Zhang, Jinjin Gu, Xin Yuan, Linghe Kong, Xiaokang Yang. "Image Super-Resolution with Text Prompt Diffusion". ICCV, Honolulu, Hawaii, 2025.
[ICCV] Jiaming Liu, Linghe Kong, Guihai Chen. "Improving SAM for Camouflaged Object Detection via Dual Stream Adapters". ICCV, Honolulu, Hawaii, 2025.
[ICCV] Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Xiaokang Yang. "Dual Aggregation Transformer for Image Super-Resolution". ICCV, Paris, France, 2023.
[ACL] Rui Kong, Yuanchun Li, Qingtian Feng, Weijun Wang, Xiaozhou Ye, Ye Ouyang, Linghe Kong, Yunxin Liu. "SwapMoE: Serving Off-the-shelf MoE-based Large Language Models with Tunable Memory Budget". ACL, Bangkok, Thailand, 2024.
[AAAI] Xiaochen Han, Bo Wu, Zheng Shuo, Xiao-Yang Liu, Yimeng Zhang, Linghe Kong. "Tensor FISTA-Net for Real-Time Snapshot Compressive Imaging". AAAI, New York, USA, 2020.
[AAAI] Qiao Xiang, Haitao Yu, James Aspnes, Franck Le, Linghe Kong,Y. Richard Yang. "Optimizing in the Dark: Learning an Optimal Solution Through a Simple Request Interface". AAAI, Hawaii, USA, 2019.
[IJCAI] Jingqi Fan, Zilong Wang, Shuai Li, Linghe Kong. "Multi-player Multi-armed Bandits with Delayed Feedback". IJCAI, Montreal, Canada, 2025.
[ICLR] Zhiteng Li, Xianglong Yan, Tianao Zhang, Haotong Qin, Dong Xie, Jiang Tian, Zhongchao Shi, Linghe Kong, Yulun Zhang, Xiaokang Yang. "ARB-LLM: Alternating Refined Binarizations for Large Language Models". ICLR, Singapore, 2025.
[ICLR] Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Xiaokang Yang. "Recursive Generalization Transformer for Image Super-Resolution". ICLR, Vienna, Austria, 2024.
[ICLR] Jiale Zhang, Yulun Zhang, Jinjin Gu, Jiahua Dong, Linghe Kong, Xiaokang Yang. "Xformer: Hybrid X-Shaped Transformer for Image Denoising". ICLR, Vienna, Austria, 2024.
[ICLR] Jiale Zhang, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan. "Accurate Image Restoration with Attention Retractable Transformer". ICLR, Kigali, Rwanda, 2023.

Journal
[NMI] Ning Wang, Jiang Bian, Yuchen Li, Xuhong Li, Shahid Mumtaz, Linghe Kong, Haoyi Xiong. "Multi-purpose RNA Language Modeling with Motif-aware Pre-training and Type-guided Fine-tuning". Nature Machine Intelligence (NMI), No. 6, pp. 548–557. 2024.
[TON] Haohao Song, Yuling Lin, Yangfan Huang, Haizhou Du, Qiao Xiang, Yijian Chen, Linghe Kong, Qiang Li, Franck Le, Jiwu Shu. "Toward Verifying and Interpreting Learning-Based Networking Systems with SMT". IEEE/ACM Transactions on Networking (TON), accepted.
[TON] Xiaofeng Gao, Akbar Majidi, Guanhao Wu, Nazila Jahanbakhsh, Linghe Kong, Guihai Chen. "Nous: Drop-Freeness and Duplicate-Freeness in Consistent Multicast Routing Update with SDN". IEEE/ACM Transactions on Networking (TON), Vol. 32, No. 5, pp. 3685-3698, 2024.
[TON] Zhuo Song, Jiejian Wu, Teng Ma, Zhe Wang, Linghe Kong, Zhenzao Wen, Jingxuan Li, Yang Lu, Yong Yang, Tao Ma, Zheng Liu, Guihai Chen. "Zero+: Monitoring Large-scale Cloud-native Infrastructure using one-sided RDMA". IEEE/ACM Transactions on Networking (TON), Vol. 32, No. 4, pp. 3499-3514, 2024.
[TON] Mingxin Cai, Yutong Liu, Linghe Kong, Guihai Chen, Liang Liu, Meikang Qiu, Shahid Mumtaz. "Resource Critical Flow Monitoring in Software-Defined Networks". IEEE/ACM Transactions on Networking (TON), Vol. 32, No. 1, pp. 396-410, 2024.
[TON] Xi Chen, Qiao Xiang, Linghe Kong, Huisan Xu, Xue Liu. "Learning from FM Communications: Toward Accurate, Efficient, All-Terrain Vehicle Localization". IEEE/ACM Transactions on Networking (TON), Vol. 31, No. 1, pp, 42-57, 2023.
[TON] Qiao Xiang, Haitao Yu, James Aspnes, Franck Le, Linghe Kong,Y. Richard Yang. "Optimizing in the Dark: Learning Optimal Network Resource Reservation Through a Simple Request Interface". IEEE/ACM Transactions on Networking (TON), Vol. 29, No. 2, pp. 571-584, 2021.
[TON] Zhe Wang, Yifeng Cao, Linghe Kong, Guihai Chen, Jiadi Yu, Shaojie Tang, Yingying Chen. "Reference Waveforms Forward Concurrent Transmissions in ZigBee Communications". IEEE/ACM Transactions on Networking (TON), Vol. 28, No. 4, pp. 1629-1642, 2020.
[TON] Linghe Kong, Yifeng Cao, Liang He, Guihai Chen, Min-You Wu, Tian He. "Multi-Rate Selection in ZigBee". IEEE/ACM Transactions on Networking (TON), Vol. 27, No. 3, pp. 1055-1068, 2019.
[TON] Li Lu, Jiadi Yu, Yingying Chen, Hongbo Liu, Yanmin Zhu, Linghe Kong, Minglu Li. "Lip Reading-based User Authentication through Acoustic Sensing on Smartphones". IEEE/ACM Transactions on Networking (TON), Vol. 27, No. 1, pp. 447-460, 2019.
[JSAC] Zekai Li, Yifei Zhu, Shahid Mumtaz, Linghe Kong, Bo Li. "RIVA: Communication-Efficient Streaming Control for Real-time Industrial Video Analytics". IEEE Journal on Selected Areas in Communications (JSAC), accepted.
[JSAC] Chi Xu, Zixuan Tang, Haibin Yu, Peng Zeng, Linghe Kong. "Digital Twin-Driven Collaborative Scheduling for Heterogeneous Task and Edge-End Resource via Multi-Agent Deep Reinforcement Learning". IEEE Journal on Selected Areas in Communications (JSAC),Vol. 41, No. 10, pp. 3056-3069, 2023.
[JSAC] Linghe Kong, Yutong Liu, Yunxin Liu, Le Zheng, Meikang Qiu, Guihai Chen. "WheelLoc: Practical and Accurate Localization for Wheeled Mobile Target via Integrated Sensing and Communication". IEEE Journal on Selected Areas in Communications (JSAC), Vol. 40, No. 7, pp. 2219-2232, 2022.
[JSAC] Linghe Kong, Linsheng Ye, Fan Wu, Meixia Tao, Guihai Chen, Athanasios V. Vasilakos. "Autonomous Relay for Millimeter-Wave Wireless Communications". IEEE Journal on Selected Areas in Communications (JSAC), Vol. 35, No. 9, pp. 2127-2136, 2017.
[JSAC] Dongxin Liu, Fan Wu, Linghe Kong, Shaojie Tang, Yuan Luo, Guihai Chen. "Training-Free Indoor White Space Exploration". IEEE Journal on Selected Areas in Communications (JSAC), Vol. 34, No. 10, pp. 2589-2604, 2016.
[TMC] Hao Kong, Jiahong Xie, Jiadi Yu, Yingying Chen, Linghe Kong, Yanmin Zhu, Feilong Tang. "Realistic Facial Expression Reconstruction Using Millimeter Wave". IEEE Transactions on Mobile Computing (TMC), accepted.
[TMC] Yunzhong Chen, Jiadi Yu, Yingying Chen, Linghe Kong, Yanmin Zhu, Yi-Chao Chen. "Sensing Metal Coil Vibration of Headsets for Eavesdropping on Online Conversations With Out-of-Vocabulary Words Using RFID". IEEE Transactions on Mobile Computing (TMC), accepted.
[TMC] Mingxin Cai, Chen Ma, Yuchen Li, Zhonghao Lyu, Yutong Liu, Linghe Kong, Guihai Chen. "UCMM: Unsupervised Convolutional Networks for Accurate and Efficient Map Matching with Mobile Cellular Data". IEEE Transactions on Mobile Computing (TMC), accepted.
[TMC] Hao Kong, Jiahong Xie, Jiadi Yu, Yingying Chen, Linghe Kong, Yanmin Zhu, Feilong Tang. "Realistic Facial Expression Reconstruction Using Millimeter Wave". IEEE Transactions on Mobile Computing (TMC), accepted.
[TMC] Deyu Lin, Jun Wan, Jing Wang, Linghe Kong, Yufei Zhao, Yong Liang Guan. "A Novel Topology-scale-adaptive and Energy-efficient Clustering Scheme for Energy Sustainable Large-Scale SWIPT-enabled WSNs". IEEE Transactions on Mobile Computing (TMC), Vol. 23, No. 12, pp. 13172-13188, 2024.
[TMC] Deyu Lin, Zhijie Chen, Xuan Liu, Linghe Kong, Yong Liang Guan. "ESWCM: A Novel Energy-sustainable Approach for SWIPT-enabled WSN with Constraint MEAP Configurations". IEEE Transactions on Mobile Computing (TMC), Vol. 23, No. 9, pp. 9012-9028, 2024.
[TMC] Yunzhong Chen, Jiadi Yu, Linghe Kong, Yanmin Zhu, Feilong Tang. "Sensing Human Gait for Environment-Independent User Authentication using Commodity RFID Devices". IEEE Transactions on Mobile Computing (TMC), Vol. 23, No. 5, pp. 6304-6317. 2024.
[TMC] Xingrui Yi, Jianqiang Li, Yutong Liu, Linghe Kong, Ying Shao, Guihai Chen, Xue Liu, Shahid Mumtaz, Joel J. P. C. Rodrigues. "ArguteDUB: Deep Learning based Distributed Uplink Beamforming in 6G-Based IoV". IEEE Transactions on Mobile Computing (TMC), Vol. 23, No. 4, pp. 2551-2565, 2024.
[TMC] Junqin Huang, Linghe Kong, Long Cheng, Hong-Ning Dai, Meikang Qiu, Guihai Chen, Xue Liu, Gang Huang. "BlockSense: Towards Trustworthy Mobile Crowdsensing via Proof-of-Data Blockchain". IEEE Transactions on Mobile Computing (TMC), Vol. 23, No. 2, pp. 1016-1033, 2024.
[TMC] Tong Liu, Shenggang Ni, Xiaoqiang Li, Yanmin Zhu, Linghe Kong, Yuanyuan Yang. "Deep Reinforcement Learning based Approach for Online Service Placement and Computation Resource Allocation in Edge Computing". IEEE Transactions on Mobile Computing (TMC), Vol. 22, No. 7, pp. 3870-3881, 2023.
[TMC] Zhe Wang, Linghe Kong, Xue Liu, Guihai Chen. "Embracing Channel Estimation in Multi-Packet Reception of ZigBee". IEEE Transactions on Mobile Computing (TMC), Vol. 22, No. 5, pp. 2693-2708, 2023.
[TMC] Yiqin Wang, Linghe Kong, Siyu Lin, Liang He. "Detecting Engine Anomalies Using Batteries". IEEE Transactions on Mobile Computing (TMC), Vol. 22, No. 4, pp. 2069-2083, 2023.
[TMC] Jiadi Yu, Li Lu, Yingying Chen, Yanmin Zhu, Linghe Kong. "An Indirect Eavesdropping Attack of Keystrokes on Touch Screen through Acoustic Sensing". IEEE Transactions on Mobile Computing (TMC), Vol. 20, No. 2, pp. 337-351, 2021.
[TMC] Jiadi Yu, Zhongyang Chen, Yanmin Zhu, Yingying Chen, Linghe Kong, Minglu Li. "Fine-grained Abnormal Driving Behaviors Detection and Identification with Smartphones". IEEE Transactions on Mobile Computing (TMC), Vol. 16, No. 8, pp. 2198-2212, 2017.
[TMC] Liang He, Linghe Kong, Yu Gu, Jianping Pan, Ting Zhu. "Evaluating the On-Demand Mobile Charging in Wireless Sensor Networks". IEEE Transactions on Mobile Computing (TMC), Vol. 14, No. 9, pp. 1861-1875, 2015.
[TC] Rui Kong, Yuanchun Li, Weijun Wang, Linghe Kong, Yunxin Liu. "Serving MoE Models on Resource-constrained Edge Devices via Dynamic Expert Swapping". IEEE Transactions on Computers (TC), accepted.
[TPDS] Xiaofeng Gao, Linghe Kong, Weichen Li, Wanchao Liang, Yuxiang Chen, Guihai Chen. "Traffic Load Balancing Schemes for Devolved Controllers in Mega Data Centers". IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol. 28, No. 2, pp. 572-585, 2017.
[TPDS] Xiao-Yang Liu, Yanmin Zhu, Linghe Kong, Cong Liu, Yu Gu, Athanasios V. Vasilakos, Min-You Wu. "CDC: Compressive Data Collection for Wireless Sensor Networks". IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol. 26, No. 8, pp. 2188-2197, 2015.
[TPDS] Linghe Kong, Mingyuan Xia, Xiao-Yang Liu, Guangshuo Chen, Yu Gu, Min-You Wu, Xue Liu. "Data Loss and Reconstruction in Wireless Sensor Networks". IEEE Transactions on Parallel and Distributed Systems (TPDS),Vol. 25, No. 11, pp. 2818-2828, 2014.
[TPDS] Linghe Kong, Mingchen Zhao, Xiao-Yang Liu, Jialiang Lu, Yunhuai Liu, Min-You Wu, Wei Shu. "Surface Coverage in Sensor Networks". IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol. 25, No. 1, pp. 234–243, 2014.
[TSC] Long Chen, Yi Ching Chou, Haoyuan Zhao, Hengzhi Wang, Feng Wang, Hao Fang, Sami Ma, Feilong Tang, Linghe Kong, Jiangchuan Liu. "On-Demand and Scalable Topology Control Service for LEO Satellite Network Evolving". IEEE Transactions on Service Computing (TSC), accepted.
[TSC] Yuchen Li, Haoyi Xiong, Linghe Kong, Rui Zhang, Fanqin Xu, Guihai Chen, Minglu Li. "MHRR: MOOCs Recommender Service with Meta Hierarchical Reinforced Ranking". IEEE Transactions on Service Computing (TSC), Vol. 16, No. 6, pp, 4467-4480. 2023.
[TIFS] Guanjie Cheng, Junqin Huang, Yewei Wang, Jun Zhao, Linghe Kong, Shuiguang Deng, Xueqiang Yan. "Conditional Privacy-Preserving Multi-Domain Authentication and Pseudonym Management for 6G-Enabled IoV". IEEE Transactions on Information Forensics & Security (TIFS), Vol. 19, pp. 10206-10220, 2023.
[TPAMI] Jiaming Liu, Yue Wu*, Qiguang Miao, Maoguo Gong, Linghe Kong*. "Revisiting Siamese-based 3D Single Object Tracking with a Versatile Transformer". IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accepted.
[TPAMI] Chunming He, Kai Li, Yachao Zhang, Ziyun Yang, Youwei Pang, Longxiang Tang, Chengyu Fang, Yulun Zhang, Linghe Kong, Sina Farsiu*. "Segment Concealed Objects with Incomplete Supervision". IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accepted.
[TIP] Peihao Yang, Linghe Kong, Xiao-Yang Liu, Xin Yuan, Guihai Chen. "Shearlet Enhanced Snapshot Compressive Imaging". IEEE Transactions on Image Processing (TIP), Vol. 29, pp. 6466-6481, 2020.
[TKDE] Yuchen Li, Haoyi Xiong, Qingzhong Wang, Linghe Kong, Hao Liu, Haifang Li, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dejing Dou, Dawei Yin. "COLTR: Semi-supervised Learning to Rank with Co-training and Over-parameterization for Web Search". IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 35, No. 12, pp. 12542-12555, 2023.

Survey
[IOTJ] Yunzhong Chen, Jiadi Yu, Linghe Kong, Yanmin Zhu. "A Comprehensive Survey of Side-Channel Sound Sensing Methods". IEEE Internet of Things Journal (IOTJ), accepted.
[COMST] Evgeny Khorov, Artem Krasilov, Maxim Susloparov, Linghe Kong. "Boosting TCP & QUIC Performance in mmWave, Terahertz, and Lightwave Wireless Networks: a Survey". IEEE Communications Surveys and Tutorial (COMST), Vol. 25, No. 4, pp. 2862-2891, 2023.
[NETWORK] Junqin Huang, Linghe Kong, Guihai Chen, Qiao Xiang, Xi Chen, Xue Liu. "Blockchain-based Federated Learning: A Systematic Survey". IEEE Network Magazine (NETWORK), Vol. 37, No. 6, pp. 150-157, 2023.
[CSUR] Linghe Kong, Jinlin Tan, Junqin Huang, Guihai Chen, Shuaitian Wang, Xi Jin, Peng Zeng, Muhammad K. Khan, Sajal K. Das. "Edge-Computing-Driven Internet of Things: A Survey". ACM Computing Surveys (CSUR), Vol. 55, No. 8, pp. 174: 1-41, 2023.
[COMST] Yutong Liu, Linghe Kong, Guihai Chen. "Data-oriented Mobile Crowdsensing: A Comprehensive Survey". IEEE Communications Surveys and Tutorial (COMST), Vol. 21, No. 3, pp. 2849-2885, 2019.
[COMST] Xiong Wang, Linghe Kong, Fanxin Kong, Fudong Qiu, Mingyu Xia, Shlomi Arnon, Guihai Chen. "Millimeter Wave Communication: A Comprehensive Survey". IEEE Communications Surveys and Tutorial (COMST), Vol. 20, No. 3, pp. 1616-1653, 2018.
[COMMAG] Linghe Kong, Muhammad Khurram Khan, Fan Wu, Guihai Chen, Peng Zeng. "Millimeter-Wave Wireless Communications for IoT-Cloud Supported Autonomous Vehicles: Overview, Design, and Challenges". IEEE Communications Magazine (COMMAG), Vol. 55, No. 1, pp. 62-68, 2017.

中国期刊会议
[CTPCI] Haotian Xu, Xiangtian Ma, Chengke Wang, Xiong Wang, Chenren Xu, Feng Gao, Linghe Kong. "A Neural Network Approach for Wireless Spectrum Anomaly Detection in 5G‑unlicensed Network".  CCF Transactions on Pervasive Computing and Interaction (CTPCI), accepted.
[计算机研究与发展] 裴颂文，钱艺幻，叶笑春，刘海坤，孔令和，"基于DRAM牺牲Cache的异构内存页迁移机制"，计算机研究与发展，2022.
[CTON] Linghe Kong, Fan Wu, Xiaofeng Gao, Min-You Wu, Guihai Chen. "Enhancing Data Delivery in Vehicular Networks Using Dual-Radio Architecture". CCF Transactions on Networking (CTON), Vol. 1, No. 1, pp. 52-64, 2019.
[CWSN] Linghe Kong, Zhe Wang, Yongshuai Duan, Tong Meng, Fan Wu, Guihai Chen. "Rate Adaptive Broadcast in Internet of Things". 中国物联网学术会议 (CWSN), Chongqing, China, 2019.
[软件学报] 刘晨，陆佳亮，孔令和，吴凤刚，吴强，伍民友，"基于软件的无线网绿色代理系统"，软件学报，期23，卷2，页215-229，2012.

Project

Research Project
• PI, National Natural Science Foundation of China 2025-2027, Grant No. W2412089 (主持，国家自然科学基金NSFC-RSF合作项目："面向下一代无线通信网络的全息MIMO研究"，150万元)
• Member, "SJTU Star" Medical-Engineering Interdisciplinary Research Fund Key Project 2025-2027, Grant No. YG2025ZD06 (参与，上海交通大学“交大之星”计划医工交叉研究基金重点项目："儿童阻塞性睡眠呼吸暂停诊治及围手术期人工智能辅助系统的构建"，30/100万元)
• PI, Microsate Project 2024-2025, Grant No. MICR-KY-2024010028 (主持，中国科学院微小卫星创新研究院合作项目："空间光网络仿真系统及测试验证"，30万元)
• PI, Yunnan Key Research Program 2024-2026, Grant No. 202402AD080004 (主持，云南省重大专项："基于三医联动的数据要素流通与治理关键技术研究"，550万元)
• PI, SJTU Shenlan Program Key Project 2024-2025, Grant No. SL2023ZD203 (主持，上海交通大学深蓝计划重点项目："数字孪生驱动的深海多金属结核自动识别与智能决策应用研究"，100万元)
• Member, National Natural Science Foundation of China 2024, Grant No. J2324019 (参与，国家自然科学基金联合基金重点项目："国家自然科学基金联合基金优秀成果大数据挖掘与成果贯通机制研究"，5.5万/37万元)
• PI, Open Research Projects of Shanghai Satellite Internet Institute 2022-2023, Grant No. (主持，上海卫星互联网研究院开放课题："卫星互联网区块链分布式可信通信组网技术研究"，60万元)
• PI, National Natural Science Foundation of China 2022-2024, Grant No. 62141220 (主持，国家自然科学基金重点支持项目："泛在操作系统异构硬件的资源抽象与融合管理"，249万元)
• PI, Ministry of Industry and Information Technology, AI Best Project 2022-2023, Grant No. (主持，工业和信息化部，人工智能产业创新任务揭榜挂帅："人工智能开发服务平台及工具")
• PI, Huawei Project 2022-2023, Grant No. TC20220328027 (主持，华为合作项目："数据中心大规模容损网络技术合作项目"，100万元)
• PI, Huawei Project 2022-2023, Grant No. TC20220518029 (主持，华为合作项目："移动端负载微架构无关特性化分析项目"，50万元)
• PI, Open Research Projects of Zhejiang Lab 2022-2023, Grant No. 2022NL0AB01 (主持，之江实验室开放课题："智慧交通的多方数据确权与共享技术研究"，50万元)
• PI, National Key Research and Development Program 2020-2023, Grant No. 2020YFB1710900 (项目负责人兼课题一负责人，国家重点研发计划："融合5G-U的工业异构广域网络体系架构及终端设备研发"，1356万元)
• PI, National Natural Science Foundation of China 2020-2023, Grant No. 61972253 (主持，国家自然科学基金面上项目："车联网大数据传输技术研究"，60万元)
• Member, National Natural Science Foundation of China 2020-2023, Grant No. U1908212 (参与，国家自然科学基金联合基金重点项目："工业互联网边缘计算体系架构、协同优化与智能决策方法"，80万/240万元)
• Member, National Natural Science Foundation of China 2020-2023, Grant No. 72061127001 (参与，国家自然科学基金NSFC-FRQ国际合作研究项目："大数据驱动的智慧城市服务运营管理--基于系统耦合的视角"，59.7万/199万元)
• PI, National Natural Science Foundation of China 2017-2020, Grant No. 61672349 (主持，国家自然科学基金面上项目："物联网无线通信的并发传输技术研究"，62万元，已结题)
• PI, Alibaba Innovative Research 2019-2020, Grant No. SCCT622019005426 (主持，阿里巴巴创新研究计划："基于远程直接内存访问的数据中心网络性能优化"，50万元，已结题)
• PI, Huawei Project 2019-2020, Grant No. FA2018091021 (主持，华为合作项目："物联网操作系统的异构协作和互联互通研究"，40万元，已结题)
• PI, CCF-IFAA Collaborative Research Project 2018-2019, Grant No. Z50201800178 (主持，支付宝合作项目："基于区块链的物联网设备信任机制研究"，10万元，已结题)
• PI, Huawei HIRP Project 2017-2018, Grant No. HO2016050002BT (主持，华为合作项目："机器人协作通信研究"，36.5万元，已结题)
• PI, Microsoft Research Asia Collaborative Research Award 2017-2018, Grant No. FY18‐RES‐THEME‐032 (主持，微软合作项目："高精度自行车定位"，15万元，已结题)
• Member, National Key Research and Development Program 2016-2018, Grant No. 2016YFE0100600 (参与，国家重点研发计划，政府间国际科技创新合作重点专项："SKA 科学数据处理试验验证系统研制"，126万/839万元，已结题)
• PI, China Postdoctoral Science Foundation Special Grant 2015-2016, Grant No. 2015T80433 (主持，中国博士后科学基金特别资助："无线传感器网络冲突解析技术研究"，15万元，已结题)
• PI, China Postdoctoral Science Foundation 2014-2016, Grant No. 2014M560334 (主持，中国博士后科学基金一等面上资助："无线传感器网络波特复用技术研究"，8万元，已结题)
• PI, National Natural Science Foundation of China 2014-2016, Grant No. 61303202 (主持，国家自然科学基金青年科学基金项目："无线传感器网络的数据丢失与重构研究"，23万元，已结题)

Education Project
• PI, 上海市教委, 上海高校本科重点教改项目 2023-2024, No. 152, "以智能化分类分级考试平台为抓手，构建面向学科交叉的计算机教学生态链"
• PI, 上海交通大学, 教学发展基金 2021-2022, No. CTLD21J0002, "应用人工智能技术考核人工智能知识"
• PI, 上海交通大学, 第四批在线课程、混合式课程建设项目 2021-2022, "人工智能技术及应用"
• PI, 全国高等院校计算机基础教育研究会, 计算机基础教育教学研究项目 2021-2022, No. 2021-AFCEC-376, "后疫情时代教学考试模式创新研究"
• PI, 上海市教委, 上海高校大学计算机课程教学改革项目 2021-2022, "面向智能的考试-竞赛-教学综合改革"
• PI, 上海交通大学，研究生核心课程教材培育项目2020-2022，"工程信息管理"
• PI, 上海市教委, 上海高校大学计算机课程教学改革项目 2019-2020, "万物互联、群智互通：以物联网人才培养为核心的课程改革与协同创新模式探索"
• PI, 教育部, 产学合作协同育人项目 2019-2020, No. 201802001063, "物联网教学内容研究和产学合作探索" (合作方：华为)
• PI, 教育部, 产学合作协同育人项目 2019-2020, No. 201802136037, "在线课程大数据分析与推荐系统研究" (合作方：高等教育出版社）

Intellectual Property

Patent
• 孔令和，谭金林，陈贵海，"面向工业非授权5G的通道融合安全联接方法", ZL202111225140.5, Date of Grant：2023-09-15
• 孔令和，吴祖成，黄家鹏，陈贵海，刘云新，"基于无线信号的轮式移动目标高精度定位系统及方法", ZL201811264689.3, Date of Grant：2023-04-11
• 孔令和，舒圆鹤，陈贵海，"自适应采集控制的气溶胶病毒采集富集装置及方法", ZL202111225161.7, Date of Grant：2022-11-04 (已转化)
• 孔令和，汪博文，吴帆，陈贵海，"群智感知中错误位置数据的检测系统及方法", ZL201810593704.2, Date of Grant：2021-08-27
• 伍民友，孔令和，李宁，舒苇，"基于快速响应乘车请求的非定线公共交通控制系统", ZL201911092256.9, Date of Grant：2021-06-29
• 孔令和，刘雨桐，"面向无线通信增强的多点联合传输方法与系统", ZL201811053979.3, Date of Grant：2021-05-25 (已转化)
• 孔令和，曹翼丰，陈贵海，"ZigBee自适应多速率传输方法", ZL201710788532.X, Date of Grant：2021-05-25
• 孔令和，谢尧，吴帆，曹翼丰，刘小洋，陈贵海，"无人机最优中继位置定位方法及系统", ZL201610779822.3, Date of Grant：2019-01-18
• 孔令和，李元媛，吴帆，高晓沨，陈贵海，"用于移动机器人协作的自适应无线数据分享方法与系统", ZL201510946882.5, Date of Grant：2018-11-01
• 吴帆，胡叶，高晓沨, 孔令和，陈贵海，"基于Wi-Fi指纹的高效隐私保护的室内定位方法", ZL201510946885.9, Date of Grant：2018-09-21 (已转化：高新兴机器人)
• 吴帆，张超利，李旸，孔令和，高晓沨，陈贵海，"基于石墨结构的无线数据中心分层拓扑结构及其构建方法", ZL201510951802.5, Date of Grant：2018-06-08
• 吴帆，刘东鑫，孔令和，陈贵海，"基于贝叶斯压缩感知的免于训练的室内白频谱检测方法", ZL201511003190.3, Date of Grant：2018-01-02 (已转化：高新兴机器人)
• 孔令和，刘小洋，薛广涛，伍民友，"无线传感器网络环境监测中基于压缩传感的数据收集方法", ZL201210284944.7, Date of Grant：2015-03-11
• 周鑫，朱潜，孔令和， 戚正伟，薛广涛，"无线传感器网络的动态更新方法", ZL201010516872.5, Date of Grant：2014-03-12
• 寻赟，邱爽，孔令和，薛广涛，"基于优先级调度的传感器网络嵌入式操作系统", ZL201110068823.4, Date of Grant：2013-04-10

Software Copyright
• 黄俊钦，孔令和，黄刚，"BlockSense--区块链驱动的去中心化群智感知平台", 2023SR0715856, 2023-03-30
• 黄俊钦，孔令和，黄刚，"基于多分片区块链的车联网安全数据共享系统", 2023SR0715857, 2023-03-30
• 孔令和，王雄，林德钰，"灵活就业云平台系统 (FlexibleJob)", 2020SR1822591, 2020-12-15
• 孔令和，王哲，陈贵海，葛峰，钟礼军，"生物样本库信息管理系统 (BioManager)", 2018SR166329, 2018-03-14
• 孔令和，汪帅天，陈贵海，"生物产品企业溯源系统 (BioTracer)", 2018SR091101, 2018-02-05
• 孔令和，查汗巴依尔叶林生，葛峰，祁小飞，凡哲浩，"医疗设备数据采集系统 (MDDC)", 2017SR045475, 2017-02-16

Professional Activities

Editorial Board
• Founding Editor-in-Chief, the Artificial Intelligence for Engineering Journal [Online: ISSN is 3067-2481, Print: ISSN is 3067-249X] (2025-present)
• Associate Editor, IEEE Transactions on Mobile Computing (2023-present)
• Associate Editor, IEEE Transactions on Industrial Informatics (2023-present)
• Technical Editor, IEEE Network (2022-present)
• Associate Editor, Springer Telecommunication Systems (2016-present)
• Associate Editor, KSII Transactions on Internet and Information Systems (2015-present)

Guest Editor
• Guest Editor, Polytechnic Journal (2024-present)
• Guest Editor, MDPI Sensors, Special Issue on "Blockchain-Enabled Privacy-Preserving for Internet of Things" and "Advances in Wireless Sensor Networks for Smart City", 2022
• Guest Editor, IEEE Transactions on Automation Science and Engineering, Special Issue on "Artificial Intelligence for Autonomous Unmanned System Applications", 2020
• Lead Guest Editor, Elsevier Physical Communication, Special Issue on "Big Data Driven Millimeter Wave Systems", 2019
• Lead Guest Editor, IEEE Communications Magazine, Special Issue on "Sustainable Incentive Mechanisms for Mobile Crowdsensing", 2017
• Lead Guest Editor, Oxford the Computer Journal, Special Issue on "Software Defined Wireless Networks", 2017

Conference Organization
• Track Co-Chair (Wireless Sensing and Mobile Computing), IEEE ICPADS 2025
• Publicity Chair, DASFAA 2025
• Financial Chair, IEEE ICDM 2023
• PC Co-Chair, KSEM 2022
• Track Co-Chair (System and Applied Data Science Track), IEEE ICPADS 2021
• Technical Committee Co-Chair, IEEE ICACS 2021
• PC Co-Chair, ICA3PP 2020
• Publicity Co-Chair, ACM/IEEE ICCPS 2019

Technical Program Committee
• TPC Member, IEEE ICDM 2023
• TPC Member, IEEE ICCC 2023
• TPC Member, IEEE PERCOM 2022 2023
• Senior PC Member, IJCAI 2021 2022
• Shallow PC Member, ACM SenSys 2022
• TPC Member, IEEE INFOCOM 2021 2022 2023 2024
• TPC Member, IEEE Cloud 2021
• TPC Member, IEEE BIGCOM 2021
• TPC Member, IEEE GLOBECOM 2020 2022 2023
• TPC Member, ACM/IEEE ICCPS 2019 2020
• TPC Member, ACM/IEEE IWQoS 2019 2020 2021
• TPC Member, IEEE MASS 2019 2021
• TPC Member, IEEE ICCCN 2019 2020
• TPC Member, IEEE ICDCS 2017 2018 2020
• TPC Member, IEEE SmartComp 2017
• TPC Member, IEEE ICNC 2017 2018
• TPC Member, IEEE ITC 2016
• TPC Member, IEEE NAS 2016 2017
• TPC Member, IEEE ICC 2015 2016 2017 2019 2020 2022
• TPC Member, IEEE ICPADS 2015 2021
• TPC Member, IEEE DCOSS 2014 2017 2018
• TPC Member, IEEE ICCVE 2014 2015
• TPC Member, IEEE WCNC 2010 2011 2014 2015 2016 2017 2018 2019 2020 2022

Membership and Social Work
• CCF Distinguished Member 杰出会员 (M'15-SM'21-DM'23)
• IEEE Senior Member 高级会员 (S'09-M'13-SM'18)
• ACM Member (M'15)
• 中国科学院沈阳自动化研究所 客座研究员 (2016-2024)
• CCF上海分部执委 副秘书长 (2017-2019)，执行委员 (2019-2023)，监委主席 (2023-present)
• 中国自动化学会 边缘计算专委委员 (2018-present)
• 上海市计算机学会 体系结构专委秘书长 (2019-present)
• 上海市计算机基础教育协会 理事 (2019-2024)，副理事长 (2024-present)
• 上海市高等学校信息技术水平考试 人工智能科目命题组组长 (2020-2023)
• 中远海运重工科技委员会专家组 专家 (2021-2023)
• 全国高等院校计算机基础教育研究会 理工专委常务委员 (2021-present) ，常务理事 (2022-present)
• 上海交通大学计算机科学与工程系 系主任助理 (2020.03-2021.11)，副系主任 (2021.12-2023.12)
• 上海交通大学电子信息与电气工程学院 院长助理 (2022.02-2023.12) ，副院长 (2024.01-present)
• 东海一号卫星有效载荷副主任设计师 (2022.04-present)
• 中国航天科普公益巡展传播大使 (2022)
• CCF YOCSEF上海 主席(2023-2024)
• 中国计算机学会 理事(2024-present)，国际合作工作委员会委员(2024-present)
• 中国电子学会 理事(2024-present)
• 上海市经济和信息化委员会人工智能发展处 挂职副处长(2025.04-present)
• 上海交通大学学位评定委员会 成员，工程科学第二学部学位评定委员会 主席(2025.05-present)

Award and Honor

Paper Award
• Outstanding Paper Award, IEEE International Conference on Parallel and Distributed Systems (ICPADS), 2023 (CCF C)
• Best Studeng Paper Award, IEEE International Conference on Data Mining (ICDM), 2023 (CCF B)
• Best Paper Award, Journal Track, IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2023 (CCF C)
• Best Paper Award, International Conference on Advanced Data Mining and Applications (ADMA), 2023 (CCF C)
• Youth Outstand Paper Nomination Award, World Artificial Intelligence Conference, 2021 (世界人工智能大会)
• Best Student Paper Award, IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), 2021 (CCF C)
• Best Paper Award, IEEE/ACM International Symposium on Quality of Service (IWQoS), 2020 (CCF B)
• Best Paper Award, International Conference on Green, Pervasive, and Cloud Computing (GPC), 2020
• Best Paper Award, IEEE International Conference on Parallel and Distributed Systems (ICPADS), 2019 (CCF C)
• Best Paper Award, IEEE the 4th International Conference on Smart Cloud (SmartCloud), 2019
• Best Paper Award, IEEE the 16th International Conference on Mobile Ad-hoc and Smart Systems (MASS), 2019 (CCF C)
• Best Paper Award, CCF the 13th China Wireless Sensor Networks Conference (CWSN), 2019 (第十三届中国物联网学术会议)
• Best Student Paper Award, IEEE the 4th International Conference on Smart Computing and Communication (SmartCom), 2019
• Best Paper Award, IFIP International Conference on Network and Parallel Computing (NPC), 2019 (CCF C)
• Best Demo Award, IEEE International Conference on Trust, Security, and Privacy in Computing and Communications (TrustCom), 2018 (CCF C)
• Best Paper Award, IEEE International Conference on Parallel and Distributed Systems (ICPADS), 2016 (CCF C)
• Best Paper Award, EAI International Conference on Cloud Computing (CloudComp), 2016

Honor
• 2025 上海交通大学第二届佳和优秀教学奖 (本科专业基础课程责任教席)
• 2025 上海交通大学第六届教师教学创新大赛一等奖
• 2025 上海交通大学校级教学成果特等奖 (第1完成人)：人言自心，经世致用，电照风行，打造大信息类专业学位研究生培养范式
• 2025 日内瓦国际发明展金奖 (第1完成人)
• 2024 中国电子学会青年科学家奖
• 2024 高校计算机专业优秀教师奖励计划
• 2024 国家级精品资源共享课《海洋智能技术》(排名5/14)
• 2024 First Prize of Shanghai Computer Society (SCS) Natural Science Award 上海市计算机学会自然科学一等奖 (第1完成人)：软件定义的泛在物联网感传算控理论与方法
• 2023 国家重大人才工程特聘教授 (教育部"长江学者奖励计划"特聘教授)
• 2023 First Prize of Shanghai Computer Society (SCS) Teaching Achievement Award 上海市计算机学会教学成果一等奖 (第1完成人)：应用人工智能技术考核人工智能知识，以考促教培养模式创新与实践
• 2023 First Prize of Shanghai Computer Society (SCS) Natural Science Award 上海市计算机学会自然科学一等奖 (第3完成人)：非稳态无线感知网络理论与方法
• 2023 国家级一流本科课程《计算机网络》（线上线下混合式一流课程）
• 2023 "十四五"职业教育国家规划教材
• 2022 Second Prize of Shanghai Teaching Achievement Award 上海市教学成果二等奖 (第1完成人)：基于能力细分的物联网专业中高本一体化人才培养模式改革与实践
• 2020 First Prize of SJTU CandleLight Award 上海交通大学烛光奖一等奖
• 2019 国家重大人才工程青年学者(教育部"长江学者奖励计划"青年学者项目)
• 2019 Second Prize of Shanghai Natural Science Award 上海市自然科学二等奖 (第2完成人)：基于多维认知的移动网络优化理论与方法
• 2019 Shanghai 'Eastern Scholar' Distinguished Professor 上海东方学者特聘教授
• 2019 China Industry-University-Research Collaboration Award 中国产学研合作创新奖
• 2019 ACM Shanghai Rising Star
• 2019 IEEE Technical Committee on Scalable Computing (TCSC) Award for Excellence - Early Career Researcher
• 2018 "杨元庆教育基金"优秀青年教师
• 2016 Microsoft Research Asia StarTrack Project 微软铸星计划
• 2016 CCF Young Talent Development Plan 中国计算机学会青年人才发展计划
• 2011 IBM PhD Fellowship IBM 博士英才计划
• 2010 Microsoft Research Asia Fellowship 微软学者

Student Compitition (As Advisor)
• 2024 中国大学生计算机设计大赛一等奖1项，三等奖1项
• 2024 上海市大学生计算机应用能力大赛二等奖2项
• 2022 中国大学生计算机设计大赛一等奖2项，二等奖2项，三等奖1项
• 2022 上海市大学生计算机应用能力大赛一等奖1项，二等奖2项，三等奖2项
• 2021 中国大学生计算机设计大赛一等奖1项
• 2021 上海市大学生计算机应用能力大赛一等奖1项，二等奖2项，优秀指导教师奖1项
• 2020 上海市大学生计算机应用能力大赛一等奖1项
• 2019 中国大学生计算机设计大赛一等奖1项
• 2019 上海市大学生计算机应用能力大赛一等奖1项
• 2018 全国高校互联网应用创新大赛一等奖1项，优秀指导教师奖1项

Links

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《人工智能》讲义