| Fawkes: Protecting privacy against unauthorized deep learning models S Shan, E Wenger, J Zhang, H Li, H Zheng, BY Zhao 29th USENIX security symposium (USENIX Security 20), 1589-1604, 2020 | 332 | 2020 |
| Blacklight: Scalable Defense for Neural Networks against Query-Based Black-Box Attacks H Li, S Shan, E Wenger, J Zhang, H Zheng, BY Zhao 31st USENIX Security Symposium (USENIX Security 22), 2117-2134, 2022 | 104* | 2022 |
| Detecting malicious accounts in online developer communities using deep learning Q Gong, J Zhang, Y Chen, Q Li, Y Xiao, X Wang, P Hui Proceedings of the 28th ACM International Conference on Information and …, 2019 | 31 | 2019 |
| Understanding the Working Time of Developers in IT Companies in China and the United States J Zhang, Y Chen, Q Gong, X Wang, AY Ding, Y Xiao, P Hui IEEE Software 38 (2), 96-106, 2020 | 12 | 2020 |
| Navigating Alignment for Non-identical Client Class Sets: A Label Name-Anchored Federated Learning Framework J Zhang, X Zhang, X Zhang, D Hong, RK Gupta, J Shang 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023 | 11* | 2023 |
| Identifying structural hole spanners in online social networks using machine learning Q Gong, J Zhang, X Wang, Y Chen Proceedings of the ACM SIGCOMm 2019 conference posters and demos, 93-95, 2019 | 11 | 2019 |
| DeepPredict: A zone preference prediction system for online lodging platforms Y Ma, H Sun, Y Chen, J Zhang, Y Xu, X Wang, P Hui Journal of Social Computing 2 (1), 52-70, 2021 | 10 | 2021 |
| Understanding the user interactions on GitHub: a social network perspective E Fu, Y Zhuang, J Zhang, J Zhang, Y Chen 2021 IEEE 24th International Conference on Computer Supported Cooperative …, 2021 | 9 | 2021 |
| Unleashing the Power of Shared Label Structures for Human Activity Recognition X Zhang, RR Chowdhury, J Zhang, D Hong, RK Gupta, J Shang 32nd ACM International Conference on Information and Knowledge Management, 2023 | 8* | 2023 |
| How few davids improve one goliath: Federated learning in resource-skewed edge computing environments J Zhang, S Li, H Huang, Z Wang, X Fu, D Hong, RK Gupta, J Shang Proceedings of the ACM Web Conference 2024, 2976-2985, 2024 | 5 | 2024 |
| Detecting malicious accounts in online developer communities using deep learning Q Gong, Y Liu, J Zhang, Y Chen, Q Li, Y Xiao, X Wang, P Hui IEEE Transactions on Knowledge and Data Engineering 35 (10), 10633-10649, 2023 | 5 | 2023 |
| Learn from failure: Fine-tuning LLMs with trial-and-error data for intuitionistic propositional logic proving C An, Z Chen, Q Ye, E First, L Peng, J Zhang, Z Wang, S Lerner, J Shang arXiv preprint arXiv:2404.07382, 2024 | 4 | 2024 |
| Physics-informed data denoising for real-life sensing systems X Zhang, X Fu, D Teng, C Dong, K Vijayakumar, J Zhang, RR Chowdhury, ... Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems …, 2023 | 4* | 2023 |
| A video dataset of a wooden box assembly process: dataset J Zhang, P Byvshev, Y Xiao Proceedings of the Third Workshop on Data: Acquisition To Analysis, 35-39, 2020 | 3 | 2020 |
| Minimally Supervised Contextual Inference from Human Mobility: An Iterative Collaborative Distillation Framework J Zhang, X Zhang, D Hong, RK Gupta, J Shang Thirty-Second International Joint Conference on Artificial Intelligence …, 2023 | 1 | 2023 |
| Orthogonal Calibration for Asynchronous Federated Learning J Zhang, S Li, H Huang, X Yu, RK Gupta, J Shang arXiv preprint arXiv:2502.15940, 2025 | | 2025 |
| Contextual Inference From Sparse Shopping Transactions Based on Motif Patterns J Zhang, X Zhang, D Hong, RK Gupta, J Shang IEEE Transactions on Knowledge and Data Engineering 37 (2), 572-583, 2025 | | 2025 |
| REACT: Residual-Adaptive Contextual Tuning for Fast Model Adaptation in Threat Detection J Zhang, J Xu, B Can, Y Fan THE Web Conference 2025, 2025 | | 2025 |
| Creating a Cooperative AI Policymaking Platform through Open Source Collaboration A Lewington, A Vittalam, A Singh, A Uppuluri, A Ashok, AM Athmaram, ... arXiv preprint arXiv:2412.06936, 2024 | | 2024 |
| Toward an accurate mobility trajectory recovery using contrastive learning Y Liu, Y Chen, J Zhang, Y Xiao, X Wang Frontiers of Information Technology & Electronic Engineering 25 (11), 1479-1496, 2024 | | 2024 |
Yang ChenProfessor, School of Computer Science, Fudan Universityכתובת אימייל מאומתת בדומיין fudan.edu.cn