| Experience-driven congestion control: When multi-path TCP meets deep reinforcement learning Z Xu, J Tang, C Yin, Y Wang, G Xue IEEE Journal on Selected Areas in Communications 37 (6), 1325-1336, 2019 | 159 | 2019 |
| Adversarial meta-learning C Yin, J Tang, Z Xu, Y Wang arXiv preprint arXiv:1806.03316, 2018 | 59 | 2018 |
| Memory augmented deep recurrent neural network for video question answering C Yin, J Tang, Z Xu, Y Wang IEEE Transactions on Neural Networks and Learning Systems 31 (9), 3159-3167, 2019 | 26 | 2019 |
| Bridging the gap between semantic segmentation and instance segmentation C Yin, J Tang, T Yuan, Z Xu, Y Wang IEEE Transactions on Multimedia 24, 4183-4196, 2021 | 23 | 2021 |
| Hierarchical graph attention network for few-shot visual-semantic learning C Yin, K Wu, Z Che, B Jiang, Z Xu, J Tang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 12 | 2021 |
| ReCARL: Resource allocation in cloud RANs with deep reinforcement learning Z Xu, J Tang, C Yin, Y Wang, G Xue, J Wang, MC Gursoy IEEE Transactions on Mobile Computing 21 (7), 2533-2545, 2020 | 11 | 2020 |
| A co-scheduling framework for DNN models on mobile and edge devices with heterogeneous hardware Z Xu, D Yang, C Yin, J Tang, Y Wang, G Xue IEEE Transactions on Mobile Computing 22 (3), 1275-1288, 2021 | 10 | 2021 |
| Sequence-to-Sequence Learning for Prediction of Soil Temperature and Moisture X Li, J Tang, C Yin IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 3 | 2022 |
| Human pose transfer with disentangled feature consistency K Wu, C Yin, Z Che, B Jiang, J Tang, Z Guan, G Ding arXiv preprint arXiv:2107.10984, 2021 | 3 | 2021 |
| Advertising system based on cloud computing and audio watermarking C Yin, J Hu, X Zhang, X Xie 2015 International Conference on Intelligent Information Hiding and …, 2015 | 3 | 2015 |
| Multi-clue reasoning with memory augmentation for knowledge-based visual question answering C Yin, Z Che, K Wu, Z Xu, J Tang arXiv preprint arXiv:2312.12723, 2023 | 1 | 2023 |
| Human Pose Transfer with Augmented Disentangled Feature Consistency K Wu, C Yin, Z Che, B Jiang, J Tang, Z Guan, G Ding ACM Transactions on Intelligent Systems and Technology 15 (1), 1-22, 2023 | 1 | 2023 |
| A deep recurrent neural network based predictive control framework for reliable distributed stream data processing J Xu, J Tang, Z Xu, C Yin, K Kwiat, C Kamhoua 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2019 | 1 | 2019 |
| Cross-Modal Reasoning with Event Correlation for Video Question Answering C Yin, Z Che, K Wu, Z Xu, Q Qiu, J Tang arXiv preprint arXiv:2312.12721, 2023 | | 2023 |
| Systems and methods for performing motion transfer using a learning model Z Che, K Wu, B Jiang, C Yin, J Tang US Patent 11,830,204, 2023 | | 2023 |
| Visual-Semantic Learning C Yin Syracuse University, 2023 | | 2023 |
| ACQL: An Adaptive Conservative Q-Learning Framework for Offline Reinforcement Learning K Wu, Y Zhao, Z Xu, Z Che, C Yin, CH Liu, Q Qiu, F Feng, J Tang | | 2022 |
| Continual Few-Shot Learning with Adversarial Class Storage K Wu, C Yin, J Tang, Z Xu, Y Wang, D Yang arXiv preprint arXiv:2207.12303, 2022 | | 2022 |
| Systems and methods for instance segmentation based on semantic segmentation J Tang, C Yin, K Wu, Z Che US Patent App. 17/651,243, 2022 | | 2022 |
| Air Pollutant Source Location based on Zigbee Wireless Network and Optimized Least Square C Yin 2016 3rd International Conference on Materials Engineering, Manufacturing …, 2016 | | 2016 |
Jian TangProfessor, IEEE Fellow and ACM Distinguished Member, Department of EECS, Syracuse UniversityVerified email at syr.edu
