| Task affinity with maximum bipartite matching in few-shot learning CP Le, J Dong, M Soltani, V Tarokh arXiv preprint arXiv:2110.02399, 2021 | 13 | 2021 |
| Benchmarking data-driven surrogate simulators for artificial electromagnetic materials Y Deng, J Dong, S Ren, O Khatib, M Soltani, V Tarokh, W Padilla, J Malof Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021 | 11 | 2021 |
| Fisher task distance and its application in neural architecture search CP Le, M Soltani, J Dong, V Tarokh IEEE Access 10, 47235-47249, 2022 | 8 | 2022 |
| Multi-agent adversarial attacks for multi-channel communications J Dong, S Wu, M Sultani, V Tarokh arXiv preprint arXiv:2201.09149, 2022 | 5 | 2022 |
| Robust Reinforcement Learning through Efficient Adversarial Herding J Dong, HL Hsu, Q Gao, V Tarokh, M Pajic arXiv preprint arXiv:2306.07408, 2023 | 3 | 2023 |
| Causal knowledge transfer from task affinity A Aloui, J Dong, CP Le, V Tarokh | 3 | 2022 |
| Transfer learning for individual treatment effect estimation A Aloui, J Dong, CP Le, V Tarokh Uncertainty in Artificial Intelligence, 56-66, 2023 | 2 | 2023 |
| Deep Generalized Green's Functions R Peng, J Dong, J Malof, WJ Padilla, V Tarokh arXiv preprint arXiv:2306.02925, 2023 | 2 | 2023 |
| Off-Policy Evaluation for Human Feedback Q Gao, G Gao, J Dong, V Tarokh, M Chi, M Pajic Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| REFORMA: Robust REinFORceMent Learning via Adaptive Adversary for Drones Flying under Disturbances HL Hsu, H Meng, S Luo, J Dong, V Tarokh, M Pajic 2024 IEEE International Conference on Robotics and Automation (ICRA), 2024 | 1 | 2024 |
| Domain adaptation via rebalanced sub-domain alignment Y Liu, J Dong, Z Jiang, A Aloui, K Li, H Klein, V Tarokh, D Carlson arXiv preprint arXiv:2302.02009, 2023 | 1 | 2023 |
| Fisher Task Distance and Its Applications in Transfer Learning and Neural Architecture Search CP Le, M Soltani, J Dong, V Tarokh arXiv preprint arXiv:2103.12827, 2021 | 1 | 2021 |
| Counterfactual Data Augmentation with Contrastive Learning A Aloui, J Dong, CP Le, V Tarokh arXiv preprint arXiv:2311.03630, 2023 | | 2023 |
| Robust Reinforcement Learning with Structured Adversarial Ensemble J Dong, HL Hsu, Q Gao, V Tarokh, M Pajic | | 2023 |
| Understanding and Robustifying Sub-domain Alignment for Domain Adaptation Y Liu, J Dong, Z Jiang, A Aloui, K Li, MH Klein, V Tarokh, D Carlson | | 2023 |
| D2T2: Decision Transformer with Temporal Difference via Steering Guidance HL Hsu, J Dong, Q Gao, AK Bozkurt, V Tarokh, M Pajic | | 2023 |
| Mode-Aware Continual Learning for Conditional Generative Adversarial Networks CP Le, J Dong, A Aloui, V Tarokh | | 2023 |
| PASTA: pessimistic assortment optimization J Dong, W Mo, Z Qi, C Shi, EX Fang, V Tarokh International Conference on Machine Learning, 8276-8295, 2023 | | 2023 |
| Few-Shot Continual Learning for Conditional Generative Adversarial Networks CP Le, J Dong, A Aloui, V Tarokh arXiv preprint arXiv:2305.11400, 2023 | | 2023 |
| Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions J Dong, S Ren, Y Deng, O Khatib, J Malof, M Soltani, W Padilla, V Tarokh arXiv preprint arXiv:2111.13311, 2021 | | 2021 |
