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ORCIDJuncheng Dong
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2020 – today
- 2024
[c9]Hao-Lun Hsu, Haocheng Meng, Shaocheng Luo, Juncheng Dong, Vahid Tarokh, Miroslav Pajic:
REFORMA: Robust REinFORceMent Learning via Adaptive Adversary for Drones Flying under Disturbances. ICRA 2024: 5169-5175- 2023
- [c8]Juncheng Dong, Weibin Mo, Zhengling Qi, Cong Shi, Ethan X. Fang, Vahid Tarokh:
PASTA: Pessimistic Assortment Optimization. ICML 2023: 8276-8295 - [c7]Qitong Gao, Ge Gao, Juncheng Dong, Vahid Tarokh, Min Chi, Miroslav Pajic:
Off-Policy Evaluation for Human Feedback. NeurIPS 2023 - [c6]Ahmed Aloui, Juncheng Dong, Cat P. Le, Vahid Tarokh:
Transfer learning for individual treatment effect estimation. UAI 2023: 56-66 - [i11]Yiling Liu, Juncheng Dong, Ziyang Jiang, Ahmed Aloui, Keyu Li, Michael Hunter Klein, Vahid Tarokh, David E. Carlson:
Domain Adaptation via Rebalanced Sub-domain Alignment. CoRR abs/2302.02009 (2023) - [i10]Juncheng Dong, Weibin Mo, Zhengling Qi, Cong Shi, Ethan X. Fang, Vahid Tarokh:
PASTA: Pessimistic Assortment Optimization. CoRR abs/2302.03821 (2023) - [i9]Cat P. Le, Juncheng Dong, Ahmed Aloui, Vahid Tarokh:
Few-Shot Continual Learning for Conditional Generative Adversarial Networks. CoRR abs/2305.11400 (2023) - [i8]Rixi Peng, Juncheng Dong, Jordan M. Malof, Willie J. Padilla, Vahid Tarokh:
Deep Generalized Green's Functions. CoRR abs/2306.02925 (2023) - [i7]Juncheng Dong, Hao-Lun Hsu, Qitong Gao, Vahid Tarokh, Miroslav Pajic:
Robust Reinforcement Learning through Efficient Adversarial Herding. CoRR abs/2306.07408 (2023) - [i6]Qitong Gao, Ge Gao, Juncheng Dong, Vahid Tarokh, Min Chi, Miroslav Pajic:
Off-Policy Evaluation for Human Feedback. CoRR abs/2310.07123 (2023) - [i5]Ahmed Aloui, Juncheng Dong, Cat P. Le, Vahid Tarokh:
Counterfactual Data Augmentation with Contrastive Learning. CoRR abs/2311.03630 (2023) - 2022
- [j1]Cat P. Le
, Mohammadreza Soltani, Juncheng Dong, Vahid Tarokh:
Fisher Task Distance and its Application in Neural Architecture Search. IEEE Access 10: 47235-47249 (2022) - [c5]Juncheng Dong, Suya Wu, Mohammadreza Soltani, Vahid Tarokh:
Multi-Agent Adversarial Attacks for Multi-Channel Communications. AAMAS 2022: 1580-1582 - [c4]Juncheng Dong, Simiao Ren, Yang Deng, Omar Khatib, Jordan M. Malof, Mohammadreza Soltani, Willie Padilla, Vahid Tarokh:
Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions. ICLR 2022 - [c3]Cat Phuoc Le, Juncheng Dong, Mohammadreza Soltani, Vahid Tarokh:
Task Affinity with Maximum Bipartite Matching in Few-Shot Learning. ICLR 2022 - [i4]Juncheng Dong, Suya Wu, Mohammadreza Soltani, Vahid Tarokh:
Multi-Agent Adversarial Attacks for Multi-Channel Communications. CoRR abs/2201.09149 (2022) - [i3]Ahmed Aloui, Juncheng Dong, Cat P. Le, Vahid Tarokh:
Causal Knowledge Transfer from Task Affinity. CoRR abs/2210.00380 (2022) - 2021
- [c2]Yang Deng, Juncheng Dong, Simiao Ren, Omar Khatib, Mohammadreza Soltani, Vahid Tarokh, Willie Padilla, Jordan M. Malof:
Benchmarking Data-driven Surrogate Simulators for Artificial Electromagnetic Materials. NeurIPS Datasets and Benchmarks 2021 - [i2]Cat P. Le, Juncheng Dong, Mohammadreza Soltani, Vahid Tarokh:
Task Affinity with Maximum Bipartite Matching in Few-Shot Learning. CoRR abs/2110.02399 (2021) - [i1]Juncheng Dong, Simiao Ren, Yang Deng, Omar Khatib, Jordan M. Malof, Mohammadreza Soltani, Willie Padilla, Vahid Tarokh:
Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions. CoRR abs/2111.13311 (2021)
2010 – 2019
- 2017
- [c1]Kaixu Liu, Gianmario Motta, Juncheng Dong:
Wi-Fi-Aided Magnetic Field Positioning with Floor Estimation in Indoor Multi-Floor Navigation Services. ICIOT 2017: 129-136
Coauthor Index
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