| Mitigating gradient bias in multi-objective learning: A provably convergent approach HD Fernando, H Shen, M Liu, S Chaudhury, K Murugesan, T Chen The Eleventh International Conference on Learning Representations, 2022 | 26* | 2022 |
| Three-way trade-off in multi-objective learning: Optimization, generalization and conflict-avoidance L Chen, H Fernando, Y Ying, T Chen Advances in Neural Information Processing Systems 36, 2024 | 5 | 2024 |
| On the stability analysis of open federated learning systems Y Sun, H Fernando, T Chen, S Shahrampour 2023 American Control Conference (ACC), 867-872, 2023 | 2 | 2023 |
| Variance Reduction Can Improve Trade-Off in Multi-Objective Learning H Fernando, L Chen, S Lu, PY Chen, M Liu, S Chaudhury, K Murugesan, ... ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| Hardware Efficient Direct Policy Imitation Learning for Robotic Navigation in Resource-Constrained Settings V Sumanasena, H Fernando, D De Silva, B Thileepan, A Pasan, ... Sensors 24 (1), 185, 2023 | | 2023 |
| Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning S Zhang, HD Fernando, M Liu, K Murugesan, S Lu, PY Chen, T Chen, ... | | 2023 |
Tianyi ChenAssistant Professor, Rensselaer Polytechnic InstituteVerified email at rpi.edu
