Wi-Fi-Aided Magnetic Field Positioning with Floor Estimation in Indoor Multi-Floor Navigation Services. - Kaixu Liu; Gianmario Motta; Juncheng Dong (ICIOT, 2017)

Benchmarking Data-driven Surrogate Simulators for Artificial Electromagnetic Materials. - Yang Deng; Juncheng Dong; Simiao Ren; Omar Khatib; Mohammadreza Soltani; Vahid Tarokh; Willie Padilla; Jordan M. Malof (NeurIPS Datasets and Benchmarks, 2021)

Multi-Agent Adversarial Attacks for Multi-Channel Communications. - Juncheng Dong; Suya Wu; Mohammadreza Soltani; Vahid Tarokh (AAMAS, 2022)

Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions. - Juncheng Dong; Simiao Ren; Yang Deng; Omar Khatib; Jordan M. Malof; Mohammadreza Soltani; Willie Padilla; Vahid Tarokh (ICLR, 2022)

Task Affinity with Maximum Bipartite Matching in Few-Shot Learning. - Cat Phuoc Le; Juncheng Dong; Mohammadreza Soltani; Vahid Tarokh (ICLR, 2022)

Fisher Task Distance and its Application in Neural Architecture Search. - Cat P. Le; Mohammadreza Soltani; Juncheng Dong; Vahid Tarokh (IEEE Access, 2022)

Causal Knowledge Transfer from Task Affinity. - Ahmed Aloui; Juncheng Dong; Cat P. Le; Vahid Tarokh (CoRR, 2022)

PASTA: Pessimistic Assortment Optimization. - Juncheng Dong; Weibin Mo; Zhengling Qi; Cong Shi 001; Ethan X. Fang; Vahid Tarokh (ICML, 2023)

Off-Policy Evaluation for Human Feedback. - Qitong Gao; Ge Gao; Juncheng Dong; Vahid Tarokh; Min Chi; Miroslav Pajic (NeurIPS, 2023)

Transfer learning for individual treatment effect estimation. - Ahmed Aloui; Juncheng Dong; Cat P. Le; Vahid Tarokh (UAI, 2023)

Domain Adaptation via Rebalanced Sub-domain Alignment. - Yiling Liu; Juncheng Dong; Ziyang Jiang; Ahmed Aloui; Keyu Li; Michael Hunter Klein; Vahid Tarokh; David E. Carlson (CoRR, 2023)

Few-Shot Continual Learning for Conditional Generative Adversarial Networks. - Cat P. Le; Juncheng Dong; Ahmed Aloui; Vahid Tarokh (CoRR, 2023)

Deep Generalized Green's Functions. - Rixi Peng; Juncheng Dong; Jordan M. Malof; Willie J. Padilla; Vahid Tarokh (CoRR, 2023)

Robust Reinforcement Learning through Efficient Adversarial Herding. - Juncheng Dong; Hao-Lun Hsu; Qitong Gao; Vahid Tarokh; Miroslav Pajic (CoRR, 2023)

Counterfactual Data Augmentation with Contrastive Learning. - Ahmed Aloui; Juncheng Dong; Cat P. Le; Vahid Tarokh (CoRR, 2023)

REFORMA: Robust REinFORceMent Learning via Adaptive Adversary for Drones Flying under Disturbances. - Hao-Lun Hsu; Haocheng Meng; Shaocheng Luo; Juncheng Dong; Vahid Tarokh; Miroslav Pajic (ICRA, 2024)

Steering Decision Transformers via Temporal Difference Learning. - Hao-Lun Hsu; Alper Kamil Bozkurt; Juncheng Dong; Qitong Gao; Vahid Tarokh; Miroslav Pajic (IROS, 2024)

Offline Stochastic Optimization of Black-Box Objective Functions. - Juncheng Dong; Zihao Wu; Hamid Jafarkhani; Ali Pezeshki; Vahid Tarokh (CoRR, 2024)

Variational Adversarial Training Towards Policies with Improved Robustness. - Juncheng Dong; Hao-Lun Hsu; Qitong Gao; Vahid Tarokh; Miroslav Pajic (AISTATS, 2025)

Conditional Average Treatment Effect Estimation Under Hidden Confounders. - Ahmed Aloui; Juncheng Dong; Ali Hasan; Vahid Tarokh (UAI, 2025)

CATE Estimation With Potential Outcome Imputation From Local Regression. - Ahmed Aloui; Juncheng Dong; Cat Phuoc Le; Vahid Tarokh (UAI, 2025)

Deep generalized Green's function. - Rixi Peng; Juncheng Dong; Jordan M. Malof; Willie J. Padilla; Vahid Tarokh (J. Comput. Phys., 2025)

Understanding and Robustifying Sub-domain Alignment for Domain Adaptation. - Yiling Liu; Juncheng Dong; Ziyang Jiang; Ahmed Aloui; Keyu Li; Michael Hunter Klein; Vahid Tarokh; David E. Carlson (Trans. Mach. Learn. Res., 2025)

Score-Based Metropolis-Hastings Algorithms. - Ahmed Aloui; Ali Hasan; Juncheng Dong; Zihao Wu; Vahid Tarokh (CoRR, 2025)

S2TX: Cross-Attention Multi-Scale State-Space Transformer for Time Series Forecasting. - Zihao Wu; Juncheng Dong; Haoming Yang; Vahid Tarokh (CoRR, 2025)

Teleportation With Null Space Gradient Projection for Optimization Acceleration. - Zihao Wu; Juncheng Dong; Ahmed Aloui; Vahid Tarokh (CoRR, 2025)

Boosting In-Context Learning in LLMs Through the Lens of Classical Supervised Learning. - Korel Gundem; Juncheng Dong; Dennis Zhang; Vahid Tarokh; Zhengling Qi (CoRR, 2025)