Publications

You can also find my articles on my Google Scholar profile.

Selected Conference Publications

• ECCV 26

  Don’t Teach Instability, Teach Robustness: Selective Sensitivity Gating for Adversarial Robust Distillation
  Jingqi Ji, Quan Kong, Chaojie Gu, Yuanchao Shu, Cong Wang*
  The 19th European Conference on Computer Vision

• ECCV 26

  Vision-TTT: Efficient and Expressive Visual Representation Learning with Test-Time Training
  Quan Kong, Yanru Xiao, Yuhao Shen, Cong Wang*
  The 19th European Conference on Computer Vision

• ACL 26

  Double: Breaking the Acceleration Limit via Double Retrieval Speculative Parallelism 🏆 Oral & Best Paper Candidate
  Yuhao Shen, Tianyu Liu, Junyi Shen, Jinyang Wu, Quan Kong, Huan Li, Cong Wang*
  The 64th Annual Meeting of the Association for Computational Linguistics (Best Paper Candidate) (Oral)

• ACL 26

  See the Forest for the Trees: Loosely Speculative Decoding via Visual-Semantic Guidance for Efficient Inference of Video LLMs
  Yicheng Ji, Jun Zhang, Jinpeng Chen, Cong Wang, Lidan Shou, Gang Chen, Huan Li
  The 64th Annual Meeting of the Association for Computational Linguistics

• SIGIR 26

  Denoise and Align: Diffusion-Driven Foreground Knowledge Prompting for Open-Vocabulary Temporal Action Detection
  Sa Zhu, Wanqian Zhang, Lin Wang, Jinchao Zhang, Cong Wang, Bo Li
  The 49th International ACM SIGIR Conference on Research and Development in Information Retrieval

• CVPR 26

  ParallelVLM: Lossless Video-LLM Acceleration with Visual Alignment Aware Parallel Speculative Decoding
  Quan Kong, Yuhao Shen, Yicheng Ji, Huan Li, Cong Wang*
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Denvor, CO, USA

• ICLR 26

  SpecBranch: Speculative Decoding via Hybrid Drafting and Rollback-Aware Branch Parallelism
  Yuhao Shen, Junyi Shen, Quan Kong, Tianyu Liu, Yao Lu, Cong Wang*
  The International Conference on Learning Representations, Rio De Janeiro, Brazil

• ICSE 26

  End-to-End Model Generation with Large Language Models for Adaptive IoT Application Deployment
  Zhenyu Wen, Jintao Feng, Nanjie Yao, Di Wu, Cong Wang, Mincheng Wu, Jianbin Qin, Shibo He
  48th IEEE/ACM International Conference on Software Engineering

• AAAI 26

  Beyond Single-Point Perturbation: A Hierarchical, Manifold-Aware Approach to Diffusion Attacks
  Zhijie Wang, Lin Wang, Zhenyu Wen, Cong Wang*
  The 40th Annual AAAI Conference on Artificial Intelligence, Singapore

• AAAI 26

  RFF-TTA: Physical Information-Aware Prototype for Temporally Varying RF Fingerprinting Online Test-Time-Adaptation
  Taotao Li, Yiyang Li, Zhenyu Wen, Jiahao Lin, Jinhao Wan, Jie Su, Cong Wang, Zhen Hong
  The 40th Annual AAAI Conference on Artificial Intelligence, Singapore (Oral)

• CVPR 25

  Can't Slow me Down: Learning Robust and Hardware-Adaptive Object Detectors against Latency Attacks for Edge Devices
  Tianyi Wang, Zichen Wang, Cong Wang*, Yuanchao Shu, Ruilong Deng, Peng Cheng, Jiming Chen
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville TN, USA

• AAAI 25

  Fed-DFA: Federated Distillation for Heterogeneous Model Fusion through the Adversarial Lens
  Zichen Wang, Feng Yan, Tianyi Wang, Cong Wang*, Yuanchao Shu, Peng Cheng, Jiming Chen
  The 39th Annual AAAI Conference on Artificial Intelligence, Philadelphia, PA, USA

• ACM MM 25

  DeCoRec: Decoupled Collaborative Refinement for Multi-Modal Sequential Recommendations
  Zhaoqi Chen, Wanni Xu, Yunfeng Zhang, Yawei Hou, Zhenyu Wen, Cong Wang*
  ACM Multimedia Conference, Dublin, Ireland, 2025

• KDD 25

  FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning
  Zhenyu Wen, Wanglei Feng, Di Wu*, Haozhen Hu, Chang Xu, Bin Qian, Zhen Hong, Cong Wang*, Shouling Ji
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining

• ICDCS 25

  Hetero²Pipe: Pipelining Multi-DNN Inference on Heterogeneous Mobile Processors under Co-Execution Slowdown
  Yuhao Shen, Zichen Wang, Tianyi Wang, Chaojie Gu, Zhenyu Wen, Yuanchao Shu, Cong Wang*
  IEEE International Conference on Distributed Computing Systems, Glasgow, UK, 2025

• IWQoS 24

  Heterogeneity-aware memory efficient federated learning via progressive layer freezing
  Yebo Wu, Li Li, Chunlin Tian, Tao Chang, Chi Lin, Cong Wang, Cheng-Zhong Xu
  IEEE/ACM 32nd International Symposium on Quality of Service (IWQoS), 2024

• SecureComm 23

  Unsupervised Multi-Criteria Adversarial Detection in Deep Image Retrieval
  Yanru Xiao, Cong Wang*, Xing Gao
  International Conference on Security and Privacy in Communication Systems, 2023

• ICDCS 22

  Energy Minimization for Federated Asynchronous Learning on Battery-Powered Mobile Devices via Application Co-running
  Cong Wang*, Bin Hu and Hongyi Wu
  IEEE International Conference on Distributed Computing Systems, 2022

• CVPR 21

  You See What I Want You to See: Exploring Targeted Black-Box Transferability Attack for Hash-based Image Retrieval Systems
  Yanru Xiao, Cong Wang*
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021

• CVPR 20

  Evade Deep Image Retrieval by Stashing Private Images in the Hash Space
  Yanru Xiao, Cong Wang*, Xing Gao
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020

• ACM MM 20

  Gangsweep: Sweep out neural backdoors by gan
  Liuwan Zhu, Rui Ning, Cong Wang, Chunsheng Xin, Hongyi Wu
  Proceedings of the 28th ACM International Conference on Multimedia, 2020

• INFOCOM 20

  Design and Optimization of Electric Autonomous Vehicles with Renewable Energy Source for Smart Cities
  Pengzhan Zhou, Cong Wang and Yuanyuan Yang
  IEEE Conference on Computer Communications, Toronto, ON, Canada, 2020

• IPDPS 20

  Optimize Scheduling of Federated Learning on Battery-powered Mobile Devices
  Cong Wang*, Xin Wei and Pengzhan Zhou
  IEEE International Parallel and Distributed Processing Symposium (IPDPS), New Orleans, LA, USA, 2020

• ICDCS 20

  E-Sharing: Data-driven Online Optimization of Parking Location Placement for Dockless Electric Bike Sharing
  Pengzhan Zhou, Xin Wei, Cong Wang* and Yuanyuan Yang*
  International Conference on Distributed Computing Systems (ICDCS), Singapore, 2020

• IJCAI 19

  Explore Truthful Incentives for Tasks with Heterogenous Levels of Difficulty in the Sharing Economy
  Pengzhan Zhou, Xin Wei, Cong Wang* and Yuanyuan Yang*
  Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence

• ACM MM 19

  Close the Gap between Deep Learning and Mobile Intelligence by Incorporating Training in the Loop
  Cong Wang*, Yanru Xiao, Xing Gao, Li Li, Jun Wang
  Proceedings of the 27th ACM International Conference on Multimedia, 2019

• CCS 19

  Houdini’s Escape: Breaking the Resource Rein of Linux Control Groups
  Xing Gao, Zhongshu Gu, Zhengfa Li, Hani Jamjoom, Cong Wang
  ACM Conference on Computer and Communications Security (CCS), London, UK, 2019

• INFOCOM 19

  CapJack: Capture In-Browser Crypto-jacking by Deep Capsule Network through Behavioral Analysis
  Rui Ning, Cong Wang, Chunsheng Xin, Jiang Li, Liuwan Zhu and Hongyi Wu
  IEEE Conference on Computer Communications, Paris, France, 2019

• INFOCOM 19

  Self-sustainable Sensor Networks with Multi-source Energy Harvesting and Wireless Charging
  Pengzhan Zhou, Cong Wang, Yuanyuan Yang
  IEEE Conference on Computer Communications, Paris, France, 2019

• IJCAI 18

  GELU-Net: A Globally Encrypted, Locally Unencrypted Deep Neural Network for Privacy-Preserved Learning
  Qiao Zhang, Cong Wang, Hongyi Wu, Chunsheng Xin, Tran V Phuong
  Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence

• PerCom 18

  DeepMag: Sniffing Mobile Apps in Magnetic Field through Deep Convolutional Neural Networks 🥇 Mark Weiser Best Paper Award
  Rui Ning, Cong Wang, Chunsheng Xin, Jiang Li and Hongyi Wu
  IEEE International Conference on Pervasive Computing and Communications (PerCom), Athens, Greece, 2018

▼ Earlier work — PhD period (2010–2017) 8 papers

Selected Journal Publications

• TIFS 26

  The Chosen-Object Attack: Exploiting the Hungarian Matching Loss in Detection Transformers for Fun and Profit
  Tianyi Wang, Cong Wang*, Zhenyu Wen, Ruilong Deng, Yuanchao Shu, Peng Cheng, Jiming Chen
  IEEE Transactions on Information Forensics and Security

• THMS 25

  Human Perception of AI Capabilities at Classifying Perturbed Roadway Signs
  Katherine R Garcia, Jing Chen, Yanru Xiao, Scott Mishler, Cong Wang, Bin Hu
  IEEE Transactions on Human-Machine Systems

• TNNLS 25

  SENGraph: A Self-Learning Evolutionary and Node-Aware Graph Network for Soft Sensing in Industrial Processes
  Feng Yan, Cong Wang, Zichen Wang, Yuhao Shen, Chunjie Yang
  IEEE Transactions on Neural Networks and Learning Systems

• TMC 24

  Energy Optimization for Federated Learning on Consumer Mobile Devices With Asynchronous SGD and Application Co-Execution
  Cong Wang, Hongyi Wu
  IEEE Transactions on Mobile Computing

• ACM TOIT 24

  Efficient Vertical Federated Unlearning via Fast Retraining
  Zichen Wang, Xiangshan Gao, Cong Wang, Peng Cheng, Jiming Chen
  ACM Transactions on Internet Technology

• JPDC 24

  PerfTop: Towards performance prediction of distributed learning over general topology
  Changzhi Yan, Zehan Zhu, Youcheng Niu, Cong Wang, Cheng Zhuo, Jinming Xu
  Journal of Parallel and Distributed Computing

• TMC 23

  A Framework for Behavioral Biometric Authentication using Deep Metric Learning on Mobile Devices
  Cong Wang, Yanru Xiao, Xing Gao, Li Li, Jun Wang
  IEEE Transactions on Mobile Computing

• TMC 23

  Design and Optimization of Solar-Powered Shared Electric Autonomous Vehicle System for Smart Cities
  Pengzhan Zhou, Cong Wang, Yuanyuan Yang
  IEEE Transactions on Mobile Computing

• TOSN 22

  Economical behavior modeling and analyses for data collection in edge Internet of Things networks
  Yiming Zeng, Pengzhan Zhou, Cong Wang, Ji Liu, Yuanyuan Yang
  ACM Transactions on Sensor Networks

• TPDS 21

  Towards Efficient Scheduling of Federated Mobile Devices under Computational and Statistical Heterogeneity 🏆 Best Paper Candidate
  Cong Wang, Yuanyuan Yang, Pengzhan Zhou
  IEEE Transactions on Parallel and Distributed Systems

• TC 21

  K-level truthful incentivizing mechanism and generalized k-MAB problem
  Pengzhan Zhou, Xin Wei, Cong Wang, Yuanyuan Yang
  IEEE Transactions on Computers

• TOSN 21

  Design of Self-sustainable Wireless Sensor Networks with Energy Harvesting and Wireless Charging
  Pengzhan Zhou, Cong Wang, Yuanyuan Yang
  ACM Transactions on Sensor Networks

• TMC 19

  Static and Mobile Target k-Coverage in Wireless Rechargeable Sensor Networks
  Pengzhan Zhou, Cong Wang, Yuanyuan Yang
  IEEE Transactions on Mobile Computing

• TMC 18

  Combining Solar Energy Harvesting with Wireless Charging for Hybrid Wireless Sensor Networks
  Cong Wang, Ji Li, Yuanyuan Yang, Fan Ye
  IEEE Transactions on Mobile Computing

▼ Earlier work — PhD period (2010–2017) 7 papers