Publications
(EC) denotes equal contribution.
Transfer Learning for Individual Treatment Effect Estimation.
Accepted to Thirty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI2023).
Ahmed Aloui (EC), Juncheng Dong (EC), Cat Le, &Vahid Tarokh.
PASTA: Pessimistic Assortment Optimization.
Accepted to Fortieth International Conference on Machine Learning (ICML2023).
Juncheng Dong (EC), Weibin Mo (EC), Zhengling Qi, Cong Shi, Ethan Fang, &Vahid Tarokh.
Blaschke Product Neural Networks (BPNN) : A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions.
Accepted to Tenth International Conference on Learning Representations (ICLR2022).
Juncheng Dong, Simiao Ren, Yang Deng, Omar Khatib, Jordan Malof , Mohammadreza Soltani, Willie Padilla, &Vahid Tarokh.
Task Affinity with Maximum Bipartite Matching in Few-Shot Learning.
Accepted to Tenth International Conference on Learning Representations (ICLR2022).
Cat P. Le, Juncheng Dong, Mohammadreza Soltani, & Vahid Tarokh.
Multi-Agent Adversarial Attacks for Multi-Channel Communications.
Accepted to International Conference on Autonomous Agents and Multi-agent Systems (AAMAS2022).
Juncheng Dong, Suya Wu, Mohammadreza Soltani, & Vahid Tarokh.
Benchmarking Data-driven Surrogate Simulators for Artificial Electromagnetic Materials.
Accepted to Thirty-fifth Conference on Neural Information Processing (NeuIPS2021).
Yang Deng (EC), Juncheng Dong (EC), Simiao Ren (EC), Omar Khatib, Mohammadreza Soltani, Vahid Tarokh, Willie Padilla, & Jordan Malof.
Fisher Task Distance and Its Application in Neural Architecture Search.
Accepted to IEEE Access. 10. 1-1. 10.1109/ACCESS.2022.3171741.
Cat P. Le, Mohammadreza Soltani, Juncheng Dong, & Vahid Tarokh.
Fisher Task Distance and Its Applications in Transfer Learning and Neural Architecture Search.
Preprint: arxiv
Cat P. Le, Mohammadreza Soltani, Juncheng Dong, & Vahid Tarokh.