Optimal status updating for an energy harvesting sensor with a noisy channel. - Songtao Feng; Jing Yang 002 (INFOCOM Workshops, 2018)

Minimizing Age of Information for an Energy Harvesting Source with Updating Failures. - Songtao Feng; Jing Yang 002 (ISIT, 2018)

To Skip or to Switch? Minimizing Age of Information Under Link Capacity Constraint. - Boyu Wang 003; Songtao Feng; Jing Yang 002 (SPAWC, 2018)

Age of Information Minimization for an Energy Harvesting Source with Updating Erasures: With and Without Feedback. - Songtao Feng; Jing Yang 002 (CoRR, 2018)

Adaptive Coding for Information Freshness in a Two-User Broadcast Erasure Channel. - Songtao Feng; Jing Yang 002 (GLOBECOM, 2019)

Age-Optimal Transmission of Rateless Codes in an Erasure Channel. - Songtao Feng; Jing Yang 002 (ICC, 2019)

When to preempt? Age of information minimization under link capacity constraint. - Boyu Wang 003; Songtao Feng; Jing Yang 002 (J. Commun. Networks, 2019)

Information Freshness for Timely Detection of Status Changes. - Songtao Feng; Jing Yang 002 (CISS, 2020)

AoI Minimization in Broadcast Channels with Channel State Information. - Songtao Feng; Jing Yang 002 (ISIT, 2020)

Adaptive Surveillance Testing for Efficient Infection Rate Estimation. - Songtao Feng; Jing Yang 002 (ISIT, 2021)

Age of Information Minimization for an Energy Harvesting Source With Updating Erasures: Without and With Feedback. - Songtao Feng; Jing Yang 002 (IEEE Trans. Commun., 2021)

Provable Benefit of Multitask Representation Learning in Reinforcement Learning. - Yuan Cheng; Songtao Feng; Jing Yang 002; Hong Zhang; Yingbin Liang (NeurIPS, 2022)

Precoding and Scheduling for AoI Minimization in MIMO Broadcast Channels. - Songtao Feng; Jing Yang 002 (IEEE Trans. Inf. Theory, 2022)

Non-stationary Reinforcement Learning under General Function Approximation. - Songtao Feng; Ming Yin 003; Ruiquan Huang; Yu-Xiang Wang 003; Jing Yang 002; Yingbin Liang (ICML, 2023)

Model-Free Algorithm with Improved Sample Efficiency for Zero-Sum Markov Games. - Songtao Feng; Ming Yin 003; Yu-Xiang Wang 003; Jing Yang 002; Yingbin Liang (CoRR, 2023)

Improving Sample Efficiency of Model-Free Algorithms for Zero-Sum Markov Games. - Songtao Feng; Ming Yin 003; Yu-Xiang Wang 003; Jing Yang 002; Yingbin Liang (ICML, 2024)

Towards General Function Approximation in Nonstationary Reinforcement Learning. - Songtao Feng; Ming Yin 003; Ruiquan Huang; Yu-Xiang Wang 003; Jing Yang 002; Yingbin Liang (ISIT, 2024)

Offline Multitask Representation Learning for Reinforcement Learning. - Haque Ishfaq; Thanh Nguyen-Tang; Songtao Feng; Raman Arora; Mengdi Wang; Ming Yin 003; Doina Precup (NeurIPS, 2024)

Toward General Function Approximation in Nonstationary Reinforcement Learning. - Songtao Feng; Ming Yin 003; Ruiquan Huang; Yu-Xiang Wang 003; Jing Yang 002; Yingbin Liang (IEEE J. Sel. Areas Inf. Theory, 2024)

Learning Nash Equilibrium of Markov Potential Games with a Shared Constraint via Primal-Dual Optimization. - Songtao Feng; Michael Dorothy; Jie Fu (AAAI, 2025)

Thompson Sampling in Online RLHF with General Function Approximation. - Songtao Feng; Jie Fu (CoRR, 2025)