| 2025 | EMNLP | Extending Automatic Machine Translation Evaluation to Book-Length Documents. | Kuang-Da Wang, Shuoyang Ding, Chao-Han Huck Yang, Ping-Chun Hsieh, Wen-Chih Peng, Vitaly Lavrukhin, Boris Ginsburg |
| 2025 | ICLR | BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL. | Yu-Heng Hung, Kai-Jie Lin, Yu-Heng Lin, Chien-Yi Wang, Cheng Sun, Ping-Chun Hsieh |
| 2025 | ICLR | Efficient Action-Constrained Reinforcement Learning via Acceptance-Rejection Method and Augmented MDPs. | Wei Hung, Shao-Hua Sun, Ping-Chun Hsieh |
| 2025 | ICML | Action-Constrained Imitation Learning. | Chia-Han Yeh, Tse-Sheng Nan, Risto Vuorio, Wei Hung, Hung-Yen Wu, Shao-Hua Sun, Ping-Chun Hsieh |
| 2025 | PAKDD | DDOT: A Derivative-Directed Dual-Decoder Ordinary Differential Equation Transformer for Dynamic System Modeling. | Yang Chang, Kuang-Da Wang, Ping-Chun Hsieh, Cheng-Kuan Lin, Wen-Chih Peng |
| 2024 | AAAI | PPO-Clip Attains Global Optimality: Towards Deeper Understandings of Clipping. | Nai-Chieh Huang, Ping-Chun Hsieh, Kuo-Hao Ho, I-Chen Wu |
| 2024 | ICML | Accelerated Policy Gradient: On the Convergence Rates of the Nesterov Momentum for Reinforcement Learning. | Yen-Ju Chen, Nai-Chieh Huang, Ching-pei Lee, Ping-Chun Hsieh |
| 2024 | ICML | Enhancing Value Function Estimation through First-Order State-Action Dynamics in Offline Reinforcement Learning. | Yun-Hsuan Lien, Ping-Chun Hsieh, Tzu-Mao Li, Yu-Shuen Wang |
| 2023 | AAAI | Reward-Biased Maximum Likelihood Estimation for Neural Contextual Bandits: A Distributional Learning Perspective. | Yu-Heng Hung, Ping-Chun Hsieh |
| 2023 | ACML | Towards Human-Like RL: Taming Non-Naturalistic Behavior in Deep RL via Adaptive Behavioral Costs in 3D Games. | Kuo-Hao Ho, Ping-Chun Hsieh, Chiu-Chou Lin, You-Ren Luo, Feng-Jian Wang, I-Chen Wu |
| 2023 | AISTATS | Coordinate Ascent for Off-Policy RL with Global Convergence Guarantees. | Hsin-En Su, Yen-Ju Chen, Ping-Chun Hsieh, Xi Liu |
| 2023 | ICLR | Q-Pensieve: Boosting Sample Efficiency of Multi-Objective RL Through Memory Sharing of Q-Snapshots. | Wei Hung, Bo-Kai Huang, Ping-Chun Hsieh, Xi Liu |
| 2023 | ICML | Revisiting Domain Randomization via Relaxed State-Adversarial Policy Optimization. | Yun-Hsuan Lien, Ping-Chun Hsieh, Yu-Shuen Wang |
| 2022 | APNOMS | Deterministic Bandwidth-Based Packet-Level Traffic Splitting for Datacenter Networks. | Cheng-Yu Wu, Li-Hsing Yen, Ping-Chun Hsieh, Chien-Chao Tseng |
| 2022 | VCIP | Neural Frank-Wolfe Policy Optimization for Region-of-Interest Intra-Frame Coding with HEVC/H.265. | Yung-Han Ho, Chia-Hao Kao, Wen-Hsiao Peng, Ping-Chun Hsieh |
| 2021 | AAAI | Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits. | Yu-Heng Hung, Ping-Chun Hsieh, Xi Liu, P. R. Kumar |
| 2021 | INFOCOM | Optimal Wireless Scheduling for Remote Sensing through Brownian Approximation. | Daojing Guo, Ping-Chun Hsieh, I-Hong Hou |
| 2021 | UAI | Escaping from zero gradient: Revisiting action-constrained reinforcement learning via Frank-Wolfe policy optimization. | Jyun-Li Lin, Wei Hung, Shang-Hsuan Yang, Ping-Chun Hsieh, Xi Liu |
| 2020 | ICML | Exploration Through Reward Biasing: Reward-Biased Maximum Likelihood Estimation for Stochastic Multi-Armed Bandits. | Xi Liu, Ping-Chun Hsieh, Yu-Heng Hung, Anirban Bhattacharya, P. R. Kumar |
| 2020 | MOBIHOC | Fresher content or smoother playback?: a brownian-approximation framework for scheduling real-time wireless video streams. | Ping-Chun Hsieh, Xi Liu, I-Hong Hou |
| 2019 | ICML | Stay With Me: Lifetime Maximization Through Heteroscedastic Linear Bandits With Reneging. | Ping-Chun Hsieh, Xi Liu, Anirban Bhattacharya, P. R. Kumar |
| 2019 | WWW | Real-Time Streaming Graph Embedding Through Local Actions. | Xi Liu, Ping-Chun Hsieh, Nick Duffield, Rui Chen, Muhe Xie, Xidao Wen |
| 2018 | ICDCS | A Decentralized Medium Access Protocol for Real-Time Wireless Ad Hoc Networks With Unreliable Transmissions. | Ping-Chun Hsieh, I-Hong Hou |
| 2018 | MOBIHOC | PULS: Processor-Supported Ultra-Low Latency Scheduling. | Simon Yau, Ping-Chun Hsieh, Rajarshi Bhattacharyya, K. R. Kartic Bhargav, Srinivas Shakkottai, I-Hong Hou, P. R. Kumar |
| 2018 | MOBIHOC | PULS: Processor-Supported Ultra-Low Latency Scheduling. | Simon Yau, Ping-Chun Hsieh, Rajarshi Bhattacharyya, K. R. Kartic Bhargav, Srinivas Shakkottai, I-Hong Hou, P. R. Kumar |
| 2017 | CHI | VisualLink: Strengthening the Connection between Hearing-impaired Elderly and their Family. | Hsiang-Ting Hong, Tzu-Yu Su, Po-Hsun Lee, Ping-Chun Hsieh, Mian-Jhong Chiu |
| 2017 | MOBIHOC | Throughput-Optimal Scheduling for Multi-Hop Networked Transportation Systems With Switch-Over Delay. | Ping-Chun Hsieh, Xi Liu, Jian Jiao, I-Hong Hou, Yunlong Zhang, P. R. Kumar |
| 2016 | INFOCOM | Heavy-traffic analysis of QoE optimality for on-demand video streams over fading channels. | Ping-Chun Hsieh, I-Hong Hou |
| 2015 | MOBIHOC | QoE-Optimal Scheduling for On-Demand Video Streams over Unreliable Wireless Networks. | I-Hong Hou, Ping-Chun Hsieh |
| 2015 | SIGCOMM | WiMAC: Rapid Implementation Platform for User Definable MAC Protocols Through Separation. | Simon Yau, Liang Ge, Ping-Chun Hsieh, I-Hong Hou, Shuguang Cui, P. R. Kumar, Amal Ekbal, Nikhil Kundargi |