Kongyang Chen's homepage
Short Bio
Kongyang Chen is an Associate Professor at School of Artificial Intelligence, Guangzhou University, China. He is the Vice Director of Guangdong Provincial Engineering and Technology Research Center for Big Data Security and Privacy Preservation. He was a Postdoctoral Fellow at the Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China. From 2014 to 2018, he was an Assistant Professor at Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China. He received the PhD degree in computer science from the University of Chinese Academy of Sciences, China. His main research interests are artificial intelligence, edge computing, Internet of Things, etc. He has published over 70 papers in top conferences or journals such as IEEE INFOCOM, ACM MobiSys, IEEE TMC, IEEE TDSC, IEEE TPDS, ACM TOSN, ACM TOMM, etc.
Email: kychen@gzhu.edu.cn; kongyang.chen@gmail.com
Research Interests
Our group has a broad interest in distributed intelligence, including but not limited to Internet of Things (IoT), mobile computing, edge computing, edge AI, AI security, and privacy computing. We warmly welcome outstanding undergraduate and graduate students to join our team. Additionally, we actively seek collaboration with both academia and industry; please feel free to contact us for further discussion.
Selected Publications:
l Edge computing & edge AI (e.g., task offloading, task scheduling, federated learning, edge LLMs, etc.)
[1] Kongyang Chen, Jinteng Lin, Yikai Li, Wenjun Lan, Bing Mi, Shaowei Wang, Tiancai Liang. Satellite-Terrestrial Edge Networks for Intelligent Services: A Case Study of AIGC-Assisted Digital Watermarking, IEEE Transactions on Consumer Electronics, to appear
[2] Waixi Liu, Jun Cai, Yue Yin, Zhenxin Zhang, Kongyang Chen, Jiantao Fu, Wenli Shang. Adaptive Gradient Sparsification with Layer and Stage-wise for Accelerating Distributed DNN Training. Computer Networks, 2026
[3] Wenjun Lan, Kongyang Chen, Jiannong Cao, Yikai Li, Ning Li, Qi Chen, Yuvraj Sahni. Security-Sensitive Task Offloading in Integrated Satellite-Terrestrial Networks, IEEE Transactions on Mobile Computing, 2025
[4] Peigen Ye, Wenfeng Wang, Bing Mi, Kongyang Chen. EdgeStreaming: Secure Computation Intelligence in Distributed Edge Networks for Streaming Analytics, ACM Transactions on Multimedia Computing, Communications, and Applications, 2025
[5] Kongyang Chen, Guomin Liang, Hongfa Zhang, Waixi Liu, Jiaxing Shen. Resilient Task Offloading in Integrated Satellite-Terrestrial Networks with Mobility-Induced Variability, Digital Communications and Networks, 2025
[6] Wenjun Lan, Kongyang Chen, Yikai Li, Jiannong Cao, Yuvraj Sahni. Deep Reinforcement Learning for Privacy-Preserving Task Offloading in Integrated Satellite-Terrestrial Networks, IEEE Transactions on Mobile Computing, 2024
[7] Waixi Liu, Daoxiao Chen, Miaoquan Tan, Kongyang Chen, Yue Yin, Wenli Shang, Jin Li, Jun Cai. Model Parameter Prediction Method for Accelerating Distributed DNN Training, Computer Networks, 2024
[8] Kongyang Chen, Xiaoxue Zhang, Xiuhua Zhou, Bing Mi, Yatie Xiao, Lei Zhou, Zhen Wu, Lin Wu, Xiaoying Wang. Privacy Preserving Federated Learning for Full Heterogeneity, ISA Transactions, 2023
l AI security & privacy computing (e.g., machine unlearning, data/model attack and defense, etc.)
[9] Kongyang Chen, Wengao Li, Jiannong Cao, Bing Mi, Jiaxing Shen. Optimizing Federated Incremental Learning: Efficient Malicious Data Removal for Big Data Analytics, Tsinghua Science and Technology, to appear
[10] Xiangyu Ye, Yatie Xiao, Kongyang Chen, Qingxiao Guan, Zhenbang Liu. TFPA: Enhancing adversarial attack on speech recognition via Time-Frequency Pre-alignment, Knowledge-Based Systems, 2026
[11] Weidong Zheng, Wangjun Zhang, Kongyang Chen, Tiancai Liang, Feng Yang, Haozhong Lu, Yuxiong Pang. Accurate and Fast Machine Unlearning through Hessian-Guided Modeling and Overfitting Parameter Approximation, Neurocomputing, 2026
[12] Yatie Xiao, Chi-Man Pun, Fei Peng, Kongyang Chen, Qingxiao Guan. Towards Structural Transformation-based Attack for Boosting Transferability of Adversarial Examples, Pattern Recognition, 2026
[13] Long He, Yatie Xiao, Chi-Man Pun, Fei Peng, Chang Liu, Kongyang Chen, Siyuan Chen, Zhenbang Liu. Harnessing Transferable Adversarial Examples via Multi-layer Attention-guided Spatial Transformations, IEEE Transactions on Reliability, 2026
[14] Shaowei Wang, Jin Li, Yun Peng, Kongyang Chen, Wei Yang, Hui Jiang, Jin Li. Differential Private Data Stream Analytics in the Local and Shuffle Models, IEEE Transactions on Mobile Computing, 2025
[15] Kongyang Chen, Dongping Zhang, Bing Mi, Yao Huang, Zhipeng Li, Fast Yet Versatile Machine Unlearning for Deep Neural Networks, Neural Networks, 2025
[16] Yatie Xiao, Siyuan Chen, Kongyang Chen, Qingxiao Guan, Zhenbang Liu. Towards Adversarial Patch Attacks on Deep Crowd-Counting Networks via Density-aware Normalized Feature Learning, Knowledge-Based Systems, 2025
[17] Shaowei Wang, Yuntong Li, Yusen Zhong, Kongyang Chen. Xianmin Wang, Zhili Zhou, Fei Peng, Yuqiu Qian, Jiachun Du, Wei Yang. Locally Private Set-valued Data Analyses: Distribution and Heavy Hitters Estimation, IEEE Transactions on Mobile Computing, 2024
[18] Yan Li, Hongyang Yan, Teng Huang, Zijie Pan, Jiewei Lai, Xiaoxue Zhang, Kongyang Chen, Jin Li. Model Architecture Level Privacy Leakage in Neural Networks. Science China Information Sciences, 2024
[19] Kongyang Chen, Yao Huang, Yiwen Wang, Xiaoxue Zhang, Bing Mi, Yu Wang. Privacy Preserving Machine Unlearning for Smart Cities, Annals of Telecommunications, 2024
[20] Yajie Wang, Kongyang Chen, Yu-an Tan, Shuxin Huang, Wencong Ma, Yuanzhang Li. Stealthy and Flexible Trojan in Deep Learning Framework, IEEE Transactions on Dependable and Secure Computing, 2023
[21] Shaowei Wang, Xuandi Luo, Yuqiu Qian, Youwen Zhu, Kongyang Chen, Qi Chen, Bangzhou Xin, Wei Yang. Shuffle Differential Private Data Aggregation for Random Population, IEEE Transactions on Parallel and Distributed Systems, 2023
[22] Yatie Xiao, Jizhe Zhou, Kongyang Chen, Zhenbang Liu. Revisiting the Transferability of Adversarial Examples via Source-agnostic Adversarial Feature Inducing Method, Pattern Recognition, 2023
[23] Yatie Xiao, Chi Man Pun, Kongyang Chen. Towards Evaluating the Robustness of Deep Neural Semantic Segmentation Networks with Feature-Guided Method, Knowledge-Based Systems, 2023
[24] Kongyang Chen, Huaiyuan Zhang, Xiangyu Feng, Xiaoting Zhang, Bing Mi, Zhiping Jin. Backdoor Attacks against Distributed Swarm Learning, ISA Transactions, 2023
[25] Ruitao Hou, Shan Ai, Qi Chen, Hongyang Yan, Teng Huang, Kongyang Chen. Similarity-based Integrity Protection for Deep Learning Systems, Information Sciences, 2022
[26] Enmin Zhu, Jianjie Zhang, Jijie Yan, Kongyang Chen, Chongzhi Gao. N-gram MalGAN: Evading Machine Learning Detection via Feature N-gram. Digital Communications and Networks, 2022
[27] Shaowei wang, Yu Peng, Kongyang Chen, Wei Yang. Optimal Locally Private Data Stream Analytics, IEEE INFOCOM, 2024
l Data trading & blockchain
[28] Bing Mi, Kongyang Chen. Distributed Edge Artificial Intelligence Empowered Data Trading: Theories, Algorithms, and Applications, Computer Science Review, 2026
[29] Shan Jiang, Jiannong Cao, Hanqing Wu, Kongyang Chen, Xiulong Liu. Privacy-preserving and Efficient Data Sharing for Blockchain-based Intelligent Transportation Systems, Information Sciences, 2023
[30] Arthur Sandor Voundi Koe, Shan Ai, Qi Chen, Juan Tang, Wangyong Lv, Kongyang Chen. Hieraledger: Towards Malicious Gateways in Hierarchical Appendable-Block Blockchain Constructions for IoT, Information Sciences, 2023
l Internet of Things & mobile computing (e.g., wireless sensing, sensor networks, embedded systems, etc.)
[31] Ning Li, Chunhua Zhu, Zhengdao Li, Kongyang Chen, Yun Peng, Yu Fu, Xiaoying Wang. A Robust Underwater Object Tracking Model with Cross-Modal Selective Joint Representation and Relationship Enhancement of Text and Visual Features, Expert Systems with Applications, 2026
[32] Kongyang Chen, Guang Tan. SatProbe: Low-Energy and Fast Indoor/Outdoor Detection via Satellite Existence Sensing. IEEE Transactions on Mobile Computing, 2021
[33] Kongyang Chen, Guang Tan, Jiannong Cao, Mingming Lu, Xiaopeng Fan. Modeling and Improving the Energy Performance of GPS Receivers for Location Services. IEEE Sensors Journal, 2020
[34] Kongyang Chen, Guang Tan. BikeGPS: Localizing Shared Bikes in Street Canyons with Low-Level GPS Cooperation. ACM Transactions on Sensor Networks, 2019
[35] Kongyang Chen, Chen Wang, Zhimeng Yin, Hongbo Jiang, Guang Tan. Slide: Towards Fast and Accurate Mobile Fingerprinting for WiFi Indoor Positioning Systems. IEEE Sensors Journal, 2018
[36] Bo Xie, Kongyang Chen, Guang Tan, Mingming Lu, Yunhuai Liu, Jie Wu, Tian He. LIPS: A Light Intensity Based Positioning System for Indoor Environments. ACM Transactions on Sensor Networks, 2016
[37] Kongyang Chen, Guang Tan, Mingming Lu, Jie Wu. CRSM: A Practical Crowdsourcing-based Road Surface Monitoring System. Wireless Networks, 2016
[38] Guang Tan, Mingming Lu, Fangsheng Jiang, Kongyang Chen, Xiaoxia Huang, Jie Wu. Bumping: A Bump-Aided Inertial Navigation Method for Indoor Vehicles Using Smartphones. IEEE Transactions on Parallel and Distributed Systems, 2014
[39] Kongyang Chen, Guang Tan. BikeGPS: Accurate Localization of Shared Bikes in Street Canyons via Low-Level GPS Cooperation. ACM MobiSys,2018
[40] Kongyang Chen, Guang Tan. SatProbe: Low-Energy and Fast Indoor/Outdoor Detection based on Raw GPS Processing. In IEEE INFOCOM, 2017