| Graphgan: Graph representation learning with generative adversarial nets H Wang, J Wang, J Wang, M Zhao, W Zhang, F Zhang, X Xie, M Guo Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 797 | 2018 |
| NFVdeep: Adaptive online service function chain deployment with deep reinforcement learning Y Xiao, Q Zhang, F Liu, J Wang, M Zhao, Z Zhang, J Zhang Proceedings of the international symposium on quality of service, 1-10, 2019 | 231 | 2019 |
| Learning graph representation with generative adversarial nets H Wang, J Wang, J Wang, M Zhao, W Zhang, F Zhang, W Li, X Xie, M Guo IEEE Transactions on Knowledge and Data Engineering 33 (8), 3090-3103, 2019 | 87 | 2019 |
| EID-GAN: Generative adversarial nets for extremely imbalanced data augmentation W Li, J Chen, J Cao, C Ma, J Wang, X Cui, P Chen IEEE Transactions on Industrial Informatics 19 (3), 3208-3218, 2022 | 52 | 2022 |
| ReLAX: Reinforcement Learning Agent Explainer for Arbitrary Predictive Models Z Chen, F Silvestri, J Wang, H Zhu, H Ahn, G Tolomei Proceedings of the 31st ACM international conference on information …, 2022 | 44 | 2022 |
| Joint topic-semantic-aware social recommendation for online voting H Wang, J Wang, M Zhao, J Cao, M Guo Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 33 | 2017 |
| Grease: Generate factual and counterfactual explanations for gnn-based recommendations Z Chen, F Silvestri, J Wang, Y Zhang, Z Huang, H Ahn, G Tolomei arXiv preprint arXiv:2208.04222, 2022 | 32 | 2022 |
| The dark side of explanations: Poisoning recommender systems with counterfactual examples Z Chen, F Silvestri, J Wang, Y Zhang, G Tolomei Proceedings of the 46th International ACM SIGIR conference on Research and …, 2023 | 31 | 2023 |
| An unknown wafer surface defect detection approach based on Incremental Learning for reliability analysis Z Zhao, J Wang, Q Tao, A Li, Y Chen Reliability Engineering & System Safety 244, 109966, 2024 | 30 | 2024 |
| IRDA: Incremental reinforcement learning for dynamic resource allocation J Wang, J Cao, S Wang, Z Yao, W Li IEEE Transactions on Big Data 8 (3), 770-783, 2020 | 29 | 2020 |
| Prototyping and experimental comparison of IR-UWB based high precision localization technologies J Wang, AK Raja, Z Pang 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 …, 2015 | 29 | 2015 |
| Explain the explainer: Interpreting model-agnostic counterfactual explanations of a deep reinforcement learning agent Z Chen, F Silvestri, G Tolomei, J Wang, H Zhu, H Ahn IEEE Transactions on Artificial Intelligence 5 (4), 1443-1457, 2022 | 26 | 2022 |
| Pattern-rl: Multi-robot cooperative pattern formation via deep reinforcement learning J Wang, J Cao, M Stojmenovic, M Zhao, J Chen, S Jiang 2019 18th IEEE International Conference On Machine Learning And Applications …, 2019 | 24 | 2019 |
| CANE: community-aware network embedding via adversarial training J Wang, J Cao, W Li, S Wang Knowledge and Information Systems 63, 411-438, 2021 | 22 | 2021 |
| Performance optimization on dynamic adaptive streaming over HTTP in multi-user MIMO LTE networks M Zhao, B Jia, J Wang, M Wu, H Yu IEEE Transactions on Mobile Computing 17 (12), 2853-2867, 2018 | 17 | 2018 |
| Efficient predictor of pressurized water reactor safety parameters by topological information embedded convolutional neural network M Hou, W Lv, M Kong, R Li, Z Liu, D Wang, J Wang, Y Chen Annals of Nuclear Energy 192, 110004, 2023 | 11 | 2023 |
| Secrethunter: A large-scale secret scanner for public git repositories E Wen, J Wang, J Dietrich 2022 IEEE International Conference on Trust, Security and Privacy in …, 2022 | 8 | 2022 |
| Numerical solving of generalized Black-Scholes differential equation using deep learning based on blocked residual connection M Hou, H Fu, Z Hu, J Wang, Y Chen, Y Yang Digital Signal Processing 126, 103498, 2022 | 8 | 2022 |
| Clustering-based incremental learning for imbalanced data classification Y Liu, G Du, C Yin, H Zhang, J Wang Knowledge-Based Systems 292, 111612, 2024 | 7 | 2024 |
| Fault-tolerant pattern formation by multiple robots: a learning approach J Wang, J Cao, S Jiang 2017 IEEE 36th Symposium on Reliable Distributed Systems (SRDS), 268-269, 2017 | 6 | 2017 |
Minyi GuoIEEE Fellow, Chair Professor, Shanghai Jiao Tong University確認したメール アドレス: cs.sjtu.edu.cn
