Juncheng Dong

According to our database, Juncheng Dong authored at least 27 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, May, 2025

Teleportation With Null Space Gradient Projection for Optimization Acceleration.

Zihao Wu, Juncheng Dong, Ahmed Aloui, Vahid Tarokh

CoRR, February, 2025

S2TX: Cross-Attention Multi-Scale State-Space Transformer for Time Series Forecasting.

Zihao Wu, Juncheng Dong, Haoming Yang, Vahid Tarokh

CoRR, February, 2025

Score-Based Metropolis-Hastings Algorithms.

Ahmed Aloui, Ali Hasan, Juncheng Dong, Zihao Wu, Vahid Tarokh

CoRR, January, 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

Deep generalized Green's function.

Rixi Peng, Juncheng Dong, Jordan M. Malof, Willie J. Padilla, Vahid Tarokh

J. Comput. Phys., 2025

CATE Estimation With Potential Outcome Imputation From Local Regression.

Ahmed Aloui, Juncheng Dong, Cat Phuoc Le, Vahid Tarokh

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

Conditional Average Treatment Effect Estimation Under Hidden Confounders.

Ahmed Aloui, Juncheng Dong, Ali Hasan, Vahid Tarokh

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

Variational Adversarial Training Towards Policies with Improved Robustness.

Juncheng Dong, Hao-Lun Hsu, Qitong Gao, Vahid Tarokh, Miroslav Pajic

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Offline Stochastic Optimization of Black-Box Objective Functions.

Juncheng Dong, Zihao Wu, Hamid Jafarkhani, Ali Pezeshki, Vahid Tarokh

CoRR, 2024

Steering Decision Transformers via Temporal Difference Learning.

Hao-Lun Hsu, Alper Kamil Bozkurt, Juncheng Dong, Qitong Gao, Vahid Tarokh, Miroslav Pajic

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

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

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Counterfactual Data Augmentation with Contrastive Learning.

Ahmed Aloui, Juncheng Dong, Cat P. Le, Vahid Tarokh

CoRR, 2023

Robust Reinforcement Learning through Efficient Adversarial Herding.

Juncheng Dong, Hao-Lun Hsu, Qitong Gao, Vahid Tarokh, Miroslav Pajic

CoRR, 2023

Deep Generalized Green's Functions.

Rixi Peng, Juncheng Dong, Jordan M. Malof, Willie J. Padilla, Vahid Tarokh

CoRR, 2023

Few-Shot Continual Learning for Conditional Generative Adversarial Networks.

Cat P. Le, Juncheng Dong, Ahmed Aloui, Vahid Tarokh

CoRR, 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

Transfer learning for individual treatment effect estimation.

Ahmed Aloui, Juncheng Dong, Cat P. Le, Vahid Tarokh

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Off-Policy Evaluation for Human Feedback.

Qitong Gao, Ge Gao, Juncheng Dong, Vahid Tarokh, Min Chi, Miroslav Pajic

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PASTA: Pessimistic Assortment Optimization.

Juncheng Dong, Weibin Mo, Zhengling Qi, Cong Shi, Ethan X. Fang, Vahid Tarokh

Proceedings of the International Conference on Machine Learning, 2023

2022

Causal Knowledge Transfer from Task Affinity.

Ahmed Aloui, Juncheng Dong, Cat P. Le, Vahid Tarokh

CoRR, 2022

Fisher Task Distance and its Application in Neural Architecture Search.

Cat P. Le, Mohammadreza Soltani, Juncheng Dong, Vahid Tarokh

IEEE Access, 2022

Task Affinity with Maximum Bipartite Matching in Few-Shot Learning.

Cat Phuoc Le, Juncheng Dong, Mohammadreza Soltani, Vahid Tarokh

Proceedings of the Tenth International Conference on Learning Representations, 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

Proceedings of the Tenth International Conference on Learning Representations, 2022

Multi-Agent Adversarial Attacks for Multi-Channel Communications.

Juncheng Dong, Suya Wu, Mohammadreza Soltani, Vahid Tarokh

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

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

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2017

Wi-Fi-Aided Magnetic Field Positioning with Floor Estimation in Indoor Multi-Floor Navigation Services.

Kaixu Liu, Gianmario Motta, Juncheng Dong

Proceedings of the 2017 IEEE International Congress on Internet of Things, 2017