Juncheng Dong - RankMe

40 papers A* 6A 6Journal 26Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	In-Context Reinforcement Learning From Suboptimal Historical Data. CoRR Juncheng Dong, Moyang Guo, Ethan X. Fang, Zhuoran Yang, Vahid Tarokh
2026	J	`jnl`	Learning in Context, Guided by Choice: A Reward-Free Paradigm for Reinforcement Learning with Transformers. CoRR Juncheng Dong, Bowen He, Moyang Guo, Ethan X. Fang, Zhuoran Yang, Vahid Tarokh
2025	J	`jnl`	CARE: Turning LLMs Into Causal Reasoning Expert. CoRR Juncheng Dong, Yiling Liu, Ahmed Aloui, Vahid Tarokh, David E. Carlson
2025	A	`conf`	CATE Estimation With Potential Outcome Imputation From Local Regression. UAI Ahmed Aloui, Juncheng Dong, Cat Phuoc Le, Vahid Tarokh
2025	A	`conf`	Conditional Average Treatment Effect Estimation Under Hidden Confounders. UAI Ahmed Aloui, Juncheng Dong, Ali Hasan, Vahid Tarokh
2025	J	`jnl`	Conditional Average Treatment Effect Estimation Under Hidden Confounders. CoRR Ahmed Aloui, Juncheng Dong, Ali Hasan, Vahid Tarokh
2025	J	`jnl`	Deep generalized Green's function. J. Comput. Phys. Rixi Peng, Juncheng Dong, Jordan M. Malof, Willie J. Padilla, Vahid Tarokh
2025	A*	`conf`	In-Context Reinforcement Learning From Suboptimal Historical Data. ICML Juncheng Dong, Moyang Guo, Ethan X. Fang, Zhuoran Yang, Vahid Tarokh
2025	J	`jnl`	Neuro-Logic Lifelong Learning. CoRR Bowen He, Xiaoan Xu, Alper Kamil Bozkurt, Vahid Tarokh, Juncheng Dong
2025	J	`jnl`	PASTA: A Unified Framework for Offline Assortment Learning. CoRR Juncheng Dong, Weibin Mo, Zhengling Qi, Cong Shi, Ethan X. Fang, Vahid Tarokh
2025	J	`jnl`	S2TX: Cross-Attention Multi-Scale State-Space Transformer for Time Series Forecasting. CoRR Zihao Wu, Juncheng Dong, Haoming Yang, Vahid Tarokh
2025	J	`jnl`	STARK: Strategic Team of Agents for Refining Kernels. CoRR Juncheng Dong, Yang Yang, Tao Liu, Yang Wang, Feng Qi, Vahid Tarokh, Kaushik Rangadurai, Shuang Yang
2025	J	`jnl`	Score-Based Metropolis-Hastings Algorithms. CoRR Ahmed Aloui, Ali Hasan, Juncheng Dong, Zihao Wu, Vahid Tarokh
2025	J	`jnl`	Synergizing Deconfounding and Temporal Generalization For Time-series Counterfactual Outcome Estimation. CoRR Yiling Liu, Juncheng Dong, Chen Fu, Wei Shi, Ziyang Jiang, Zhigang Hua, David E. Carlson
2025	J	`jnl`	Teleportation With Null Space Gradient Projection for Optimization Acceleration. CoRR Zihao Wu, Juncheng Dong, Ahmed Aloui, Vahid Tarokh
2025	J	`jnl`	Understanding and Robustifying Sub-domain Alignment for Domain Adaptation. Trans. Mach. Learn. Res. Yiling Liu, Juncheng Dong, Ziyang Jiang, Ahmed Aloui, Keyu Li, Michael Hunter Klein, Vahid Tarokh, David E. Carlson
2025	A	`conf`	Variational Adversarial Training Towards Policies with Improved Robustness. AISTATS Juncheng Dong, Hao-Lun Hsu, Qitong Gao, Vahid Tarokh, Miroslav Pajic
2024	J	`jnl`	Offline Stochastic Optimization of Black-Box Objective Functions. CoRR Juncheng Dong, Zihao Wu, Hamid Jafarkhani, Ali Pezeshki, Vahid Tarokh
2024	A*	`conf`	REFORMA: Robust REinFORceMent Learning via Adaptive Adversary for Drones Flying under Disturbances. ICRA Hao-Lun Hsu, Haocheng Meng, Shaocheng Luo, Juncheng Dong, Vahid Tarokh, Miroslav Pajic
2024	A	`conf`	Steering Decision Transformers via Temporal Difference Learning. IROS Hao-Lun Hsu, Alper Kamil Bozkurt, Juncheng Dong, Qitong Gao, Vahid Tarokh, Miroslav Pajic
2023	J	`jnl`	Counterfactual Data Augmentation with Contrastive Learning. CoRR Ahmed Aloui, Juncheng Dong, Cat P. Le, Vahid Tarokh
2023	J	`jnl`	Deep Generalized Green's Functions. CoRR Rixi Peng, Juncheng Dong, Jordan M. Malof, Willie J. Padilla, Vahid Tarokh
2023	J	`jnl`	Domain Adaptation via Rebalanced Sub-domain Alignment. CoRR Yiling Liu, Juncheng Dong, Ziyang Jiang, Ahmed Aloui, Keyu Li, Michael Hunter Klein, Vahid Tarokh, David E. Carlson
2023	J	`jnl`	Few-Shot Continual Learning for Conditional Generative Adversarial Networks. CoRR Cat P. Le, Juncheng Dong, Ahmed Aloui, Vahid Tarokh
2023	A*	`conf`	Off-Policy Evaluation for Human Feedback. NeurIPS Qitong Gao, Ge Gao, Juncheng Dong, Vahid Tarokh, Min Chi, Miroslav Pajic
2023	J	`jnl`	Off-Policy Evaluation for Human Feedback. CoRR Qitong Gao, Ge Gao, Juncheng Dong, Vahid Tarokh, Min Chi, Miroslav Pajic
2023	A*	`conf`	PASTA: Pessimistic Assortment Optimization. ICML Juncheng Dong, Weibin Mo, Zhengling Qi, Cong Shi, Ethan X. Fang, Vahid Tarokh
2023	J	`jnl`	PASTA: Pessimistic Assortment Optimization. CoRR Juncheng Dong, Weibin Mo, Zhengling Qi, Cong Shi, Ethan X. Fang, Vahid Tarokh
2023	J	`jnl`	Robust Reinforcement Learning through Efficient Adversarial Herding. CoRR Juncheng Dong, Hao-Lun Hsu, Qitong Gao, Vahid Tarokh, Miroslav Pajic
2023	A	`conf`	Transfer learning for individual treatment effect estimation. UAI Ahmed Aloui, Juncheng Dong, Cat P. Le, Vahid Tarokh
2022	A*	`conf`	Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions. ICLR Juncheng Dong, Simiao Ren, Yang Deng, Omar Khatib, Jordan M. Malof, Mohammadreza Soltani, Willie Padilla, Vahid Tarokh
2022	J	`jnl`	Causal Knowledge Transfer from Task Affinity. CoRR Ahmed Aloui, Juncheng Dong, Cat P. Le, Vahid Tarokh
2022	J	`jnl`	Fisher Task Distance and its Application in Neural Architecture Search. IEEE Access Cat P. Le, Mohammadreza Soltani, Juncheng Dong, Vahid Tarokh
2022	A	`conf`	Multi-Agent Adversarial Attacks for Multi-Channel Communications. AAMAS Juncheng Dong, Suya Wu, Mohammadreza Soltani, Vahid Tarokh
2022	J	`jnl`	Multi-Agent Adversarial Attacks for Multi-Channel Communications. CoRR Juncheng Dong, Suya Wu, Mohammadreza Soltani, Vahid Tarokh
2022	A*	`conf`	Task Affinity with Maximum Bipartite Matching in Few-Shot Learning. ICLR Cat Phuoc Le, Juncheng Dong, Mohammadreza Soltani, Vahid Tarokh
2021	—	`conf`	Benchmarking Data-driven Surrogate Simulators for Artificial Electromagnetic Materials. NeurIPS Datasets and Benchmarks Yang Deng, Juncheng Dong, Simiao Ren, Omar Khatib, Mohammadreza Soltani, Vahid Tarokh, Willie Padilla, Jordan M. Malof
2021	J	`jnl`	Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions. CoRR Juncheng Dong, Simiao Ren, Yang Deng, Omar Khatib, Jordan M. Malof, Mohammadreza Soltani, Willie Padilla, Vahid Tarokh
2021	J	`jnl`	Task Affinity with Maximum Bipartite Matching in Few-Shot Learning. CoRR Cat P. Le, Juncheng Dong, Mohammadreza Soltani, Vahid Tarokh
2017	—	`conf`	Wi-Fi-Aided Magnetic Field Positioning with Floor Estimation in Indoor Multi-Floor Navigation Services. ICIOT Kaixu Liu, Gianmario Motta, Juncheng Dong