Ping-Chun Hsieh

75 papers A* 19A 3B 5C 3Journal 39Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Cross-Domain Policy Optimization via Bellman Consistency and Hybrid Critics.
CoRR
Ming-Hong Chen, Kuan-Chen Pan, You-De Huang, Xi Liu, Ping-Chun Hsieh
2026 J jnl
Semi-Supervised Cross-Domain Imitation Learning.
CoRR
Li-Min Chu, Kai-Siang Ma, Ming-Hong Chen, Ping-Chun Hsieh
2026 J jnl
Semi-Supervised Cross-Domain Imitation Learning.
Trans. Mach. Learn. Res.
Li-Min Chu, Kaisheng Ma, Ming-Hong Chen, Ping-Chun Hsieh
2025 A* conf
Action-Constrained Imitation Learning.
ICML
Chia-Han Yeh, Tse-Sheng Nan, Risto Vuorio, Wei Hung, Hung-Yen Wu, Shao-Hua Sun, Ping-Chun Hsieh
2025 J jnl
Action-Constrained Imitation Learning.
CoRR
Chia-Han Yeh, Tse-Sheng Nan, Risto Vuorio, Wei Hung, Hung-Yen Wu, Shao-Hua Sun, Ping-Chun Hsieh
2025 A* conf
BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL.
ICLR
Yu-Heng Hung, Kai-Jie Lin, Yu-Heng Lin, Chien-Yi Wang, Cheng Sun, Ping-Chun Hsieh
2025 J jnl
BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL.
CoRR
Yu-Heng Hung, Kai-Jie Lin, Yu-Heng Lin, Chien-Yi Wang, Cheng Sun, Ping-Chun Hsieh
2025 — conf
DDOT: A Derivative-Directed Dual-Decoder Ordinary Differential Equation Transformer for Dynamic System Modeling.
PAKDD (3)
Yang Chang, Kuang-Da Wang, Ping-Chun Hsieh, Cheng-Kuan Lin, Wen-Chih Peng
2025 J jnl
DDOT: A Derivative-directed Dual-decoder Ordinary Differential Equation Transformer for Dynamic System Modeling.
CoRR
Yang Chang, Kuang-Da Wang, Ping-Chun Hsieh, Cheng-Kuan Lin, Wen-Chih Peng
2025 A* conf
Efficient Action-Constrained Reinforcement Learning via Acceptance-Rejection Method and Augmented MDPs.
ICLR
Wei Hung, Shao-Hua Sun, Ping-Chun Hsieh
2025 J jnl
Efficient Action-Constrained Reinforcement Learning via Acceptance-Rejection Method and Augmented MDPs.
CoRR
Wei Hung, Shao-Hua Sun, Ping-Chun Hsieh
2025 J jnl
Enhancing Offline Model-Based RL via Active Model Selection: A Bayesian Optimization Perspective.
CoRR
Yu-Wei Yang, Yun-Ming Chan, Wei Hung, Xi Liu, Ping-Chun Hsieh
2025 A* conf
Extending Automatic Machine Translation Evaluation to Book-Length Documents.
EMNLP
Kuang-Da Wang, Shuoyang Ding, Chao-Han Huck Yang, Ping-Chun Hsieh, Wen-Chih Peng, Vitaly Lavrukhin, Boris Ginsburg
2025 J jnl
Extending Automatic Machine Translation Evaluation to Book-Length Documents.
CoRR
Kuang-Da Wang, Shuoyang Ding, Chao-Han Huck Yang, Ping-Chun Hsieh, Wen-Chih Peng, Vitaly Lavrukhin, Boris Ginsburg
2025 J jnl
Learning Human-Like RL Agents Through Trajectory Optimization With Action Quantization.
CoRR
Jian-Ting Guo, Yu-Cheng Chen, Ping-Chun Hsieh, Kuo-Hao Ho, Po-Wei Huang, Ti-Rong Wu, I-Chen Wu
2025 J jnl
Non-Stationary Restless Multi-Armed Bandits with Provable Guarantee.
CoRR
Yu-Heng Hung, Ping-Chun Hsieh, Kai Wang
2025 J jnl
Plan2Align: Predictive Planning Based Test-Time Preference Alignment in Paragraph-Level Machine Translation.
CoRR
Kuang-Da Wang, Teng-Ruei Chen, Yu-Heng Hung, Shuoyang Ding, Yueh-Hua Wu, Yu-Chiang Frank Wang, Chao-Han Huck Yang, Wen-Chih Peng, Ping-Chun Hsieh
2024 A* conf
Accelerated Policy Gradient: On the Convergence Rates of the Nesterov Momentum for Reinforcement Learning.
ICML
Yen-Ju Chen, Nai-Chieh Huang, Ching-pei Lee, Ping-Chun Hsieh
2024 A* conf
Diffusion-Reward Adversarial Imitation Learning.
NeurIPS
Chun-Mao Lai, Hsiang-Chun Wang, Ping-Chun Hsieh, Yu-Chiang Frank Wang, Min-Hung Chen, Shao-Hua Sun
2024 J jnl
Diffusion-Reward Adversarial Imitation Learning.
CoRR
Chun-Mao Lai, Hsiang-Chun Wang, Ping-Chun Hsieh, Yu-Chiang Frank Wang, Min-Hung Chen, Shao-Hua Sun
2024 J jnl
Diminishing Exploration: A Minimalist Approach to Piecewise Stationary Multi-Armed Bandits.
CoRR
Kuan-Ta Li, Ping-Chun Hsieh, Yu-Chih Huang
2024 A* conf
Enhancing Value Function Estimation through First-Order State-Action Dynamics in Offline Reinforcement Learning.
ICML
Yun-Hsuan Lien, Ping-Chun Hsieh, Tzu-Mao Li, Yu-Shuen Wang
2024 J jnl
Image Deraining via Self-supervised Reinforcement Learning.
CoRR
He-Hao Liao, Yan-Tsung Peng, Wen-Tao Chu, Ping-Chun Hsieh, Chung-Chi Tsai
2024 — conf
Offline Imitation of Badminton Player Behavior via Experiential Contexts and Brownian Motion.
ECML/PKDD (10)
Kuang-Da Wang, Wei-Yao Wang, Ping-Chun Hsieh, Wen-Chih Peng
2024 J jnl
Offline Imitation of Badminton Player Behavior via Experiential Contexts and Brownian Motion.
CoRR
Kuang-Da Wang, Wei-Yao Wang, Ping-Chun Hsieh, Wen-Chih Peng
2024 A* conf
PPO-Clip Attains Global Optimality: Towards Deeper Understandings of Clipping.
AAAI
Nai-Chieh Huang, Ping-Chun Hsieh, Kuo-Hao Ho, I-Chen Wu
2023 J jnl
Accelerated Policy Gradient: On the Nesterov Momentum for Reinforcement Learning.
CoRR
Yen-Ju Chen, Nai-Chieh Huang, Ping-Chun Hsieh
2023 A conf
Coordinate Ascent for Off-Policy RL with Global Convergence Guarantees.
AISTATS
Hsin-En Su, Yen-Ju Chen, Ping-Chun Hsieh, Xi Liu
2023 J jnl
PPO-Clip Attains Global Optimality: Towards Deeper Understandings of Clipping.
CoRR
Nai-Chieh Huang, Ping-Chun Hsieh, Kuo-Hao Ho, I-Chen Wu
2023 A* conf
Q-Pensieve: Boosting Sample Efficiency of Multi-Objective RL Through Memory Sharing of Q-Snapshots.
ICLR
Wei Hung, Bo-Kai Huang, Ping-Chun Hsieh, Xi Liu
2023 A* conf
Revisiting Domain Randomization via Relaxed State-Adversarial Policy Optimization.
ICML
Yun-Hsuan Lien, Ping-Chun Hsieh, Yu-Shuen Wang
2023 A* conf
Reward-Biased Maximum Likelihood Estimation for Neural Contextual Bandits: A Distributional Learning Perspective.
AAAI
Yu-Heng Hung, Ping-Chun Hsieh
2023 C conf
Towards Human-Like RL: Taming Non-Naturalistic Behavior in Deep RL via Adaptive Behavioral Costs in 3D Games.
ACML
Kuo-Hao Ho, Ping-Chun Hsieh, Chiu-Chou Lin, You-Ren Luo, Feng-Jian Wang, I-Chen Wu
2023 J jnl
Towards Human-Like RL: Taming Non-Naturalistic Behavior in Deep RL via Adaptive Behavioral Costs in 3D Games.
CoRR
Kuo-Hao Ho, Ping-Chun Hsieh, Chiu-Chou Lin, You-Ren Luo, Feng-Jian Wang, I-Chen Wu
2023 J jnl
Value-Biased Maximum Likelihood Estimation for Model-based Reinforcement Learning in Discounted Linear MDPs.
CoRR
Yu-Heng Hung, Ping-Chun Hsieh, Akshay Mete, P. R. Kumar
2022 J jnl
Coordinate Ascent for Off-Policy RL with Global Convergence Guarantees.
CoRR
Hsin-En Su, Yen-Ju Chen, Ping-Chun Hsieh, Xi Liu
2022 C conf
Deterministic Bandwidth-Based Packet-Level Traffic Splitting for Datacenter Networks.
APNOMS
Cheng-Yu Wu, Li-Hsing Yen, Ping-Chun Hsieh, Chien-Chao Tseng
2022 J jnl
Neural Contextual Bandits via Reward-Biased Maximum Likelihood Estimation.
CoRR
Yu-Heng Hung, Ping-Chun Hsieh
2022 C conf
Neural Frank-Wolfe Policy Optimization for Region-of-Interest Intra-Frame Coding with HEVC/H.265.
VCIP
Yung-Han Ho, Chia-Hao Kao, Wen-Hsiao Peng, Ping-Chun Hsieh
2022 J jnl
Neural Frank-Wolfe Policy Optimization for Region-of-Interest Intra-Frame Coding with HEVC/H.265.
CoRR
Yung-Han Ho, Chia-Hao Kao, Wen-Hsiao Peng, Ping-Chun Hsieh
2022 J jnl
Q-Pensieve: Boosting Sample Efficiency of Multi-Objective RL Through Memory Sharing of Q-Snapshots.
CoRR
Wei Hung, Bo-Kai Huang, Ping-Chun Hsieh, Xi Liu
2021 J jnl
Escaping from Zero Gradient: Revisiting Action-Constrained Reinforcement Learning via Frank-Wolfe Policy Optimization.
CoRR
Jyun-Li Lin, Wei Hung, Shang-Hsuan Yang, Ping-Chun Hsieh, Xi Liu
2021 A conf
Escaping from zero gradient: Revisiting action-constrained reinforcement learning via Frank-Wolfe policy optimization.
UAI
Jyun-Li Lin, Wei Hung, Shang-Hsuan Yang, Ping-Chun Hsieh, Xi Liu
2021 J jnl
Hinge Policy Optimization: Rethinking Policy Improvement and Reinterpreting PPO.
CoRR
Hsuan-Yu Yao, Ping-Chun Hsieh, Kuo-Hao Ho, Kai-Chun Hu, Liang-Chun Ouyang, I-Chen Wu
2021 A* conf
NeurWIN: Neural Whittle Index Network For Restless Bandits Via Deep RL.
NeurIPS
Khaled Nakhleh, Santosh Ganji, Ping-Chun Hsieh, I-Hong Hou, Srinivas Shakkottai
2021 J jnl
NeurWIN: Neural Whittle Index Network For Restless Bandits Via Deep RL.
CoRR
Khaled Nakhleh, Santosh Ganji, Ping-Chun Hsieh, I-Hong Hou, Srinivas Shakkottai
2021 A* conf
Optimal Wireless Scheduling for Remote Sensing through Brownian Approximation.
INFOCOM
Daojing Guo, Ping-Chun Hsieh, I-Hong Hou
2021 A* conf
Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization.
NeurIPS
Bing-Jing Hsieh, Ping-Chun Hsieh, Xi Liu
2021 J jnl
Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization.
CoRR
Bing-Jing Hsieh, Ping-Chun Hsieh, Xi Liu
2021 A* conf
Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits.
AAAI
Yu-Heng Hung, Ping-Chun Hsieh, Xi Liu, P. R. Kumar
2020 J jnl
Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning.
CoRR
Xi Liu, Li Li, Ping-Chun Hsieh, Muhe Xie, Yong Ge, Rui Chen
2020 A* conf
Exploration Through Reward Biasing: Reward-Biased Maximum Likelihood Estimation for Stochastic Multi-Armed Bandits.
ICML
Xi Liu, Ping-Chun Hsieh, Yu-Heng Hung, Anirban Bhattacharya, P. R. Kumar
2020 B conf
Fresher content or smoother playback?: a brownian-approximation framework for scheduling real-time wireless video streams.
MobiHoc
Ping-Chun Hsieh, Xi Liu, I-Hong Hou
2020 J jnl
Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits.
CoRR
Yu-Heng Hung, Ping-Chun Hsieh, Xi Liu, P. R. Kumar
2019 J jnl
Bandit Learning Through Biased Maximum Likelihood Estimation.
CoRR
Xi Liu, Ping-Chun Hsieh, Anirban Bhattacharya, P. R. Kumar
2019 J jnl
Fresher Content or Smoother Playback? A Brownian-Approximation Framework for Real-Time Video Delivery in Wireless Networks.
CoRR
Ping-Chun Hsieh, Xi Liu, I-Hong Hou
2019 — conf
Real-Time Streaming Graph Embedding Through Local Actions.
WWW (Companion Volume)
Xi Liu, Ping-Chun Hsieh, Nick Duffield, Rui Chen, Muhe Xie, Xidao Wen
2019 A* conf
Stay With Me: Lifetime Maximization Through Heteroscedastic Linear Bandits With Reneging.
ICML
Ping-Chun Hsieh, Xi Liu, Anirban Bhattacharya, P. R. Kumar
2018 A conf
A Decentralized Medium Access Protocol for Real-Time Wireless Ad Hoc Networks With Unreliable Transmissions.
ICDCS
Ping-Chun Hsieh, I-Hong Hou
2018 — conf
An Experimental Study on Coverage Enhancement of LTE Cat-M1 for Machine-Type Communication.
ICC
Ping-Chun Hsieh, Yupeng Jia, Darwin Parra, Prabha Aithal
2018 J jnl
Heavy-Traffic Analysis of QoE Optimality for On-Demand Video Streams Over Fading Channels.
IEEE/ACM Trans. Netw.
Ping-Chun Hsieh, I-Hong Hou
2018 J jnl
Heteroscedastic Bandits with Reneging.
CoRR
Ping-Chun Hsieh, Xi Liu, Anirban Bhattacharya, P. R. Kumar
2018 B conf
PULS: Processor-Supported Ultra-Low Latency Scheduling.
MobiHoc
Simon Yau, Ping-Chun Hsieh, Rajarshi Bhattacharyya, K. R. Kartic Bhargav, Srinivas Shakkottai, I-Hong Hou, P. R. Kumar
2018 B conf
PULS: Processor-Supported Ultra-Low Latency Scheduling.
MobiHoc
Simon Yau, Ping-Chun Hsieh, Rajarshi Bhattacharyya, K. R. Kartic Bhargav, Srinivas Shakkottai, I-Hong Hou, P. R. Kumar
2018 — conf
Safe Intersection Management for Mixed Transportation Systems with Human-Driven and Autonomous Vehicles.
Allerton
Xi Liu, Ping-Chun Hsieh, P. R. Kumar
2018 J jnl
Safe Intersection Management for Mixed Transportation Systems with Human-Driven and Autonomous Vehicles.
CoRR
Xi Liu, Ping-Chun Hsieh, P. R. Kumar
2018 J jnl
Streaming Network Embedding through Local Actions.
CoRR
Xi Liu, Ping-Chun Hsieh, Nick Duffield, Rui Chen, Muhe Xie, Xidao Wen
2017 J jnl
Delay-Optimal Scheduling for Queueing Systems with Switching Overhead.
CoRR
Ping-Chun Hsieh, I-Hong Hou, Xi Liu
2017 J jnl
The capacity of QoE for wireless networks with unreliable transmissions.
Queueing Syst. Theory Appl.
I-Hong Hou, Ping-Chun Hsieh
2017 B conf
Throughput-Optimal Scheduling for Multi-Hop Networked Transportation Systems With Switch-Over Delay.
MobiHoc
Ping-Chun Hsieh, Xi Liu, Jian Jiao, I-Hong Hou, Yunlong Zhang, P. R. Kumar
2017 J jnl
Throughput-Optimal Scheduling for Multi-Hop Networked Transportation Systems With Switch-Over Delay.
CoRR
Ping-Chun Hsieh, Xi Liu, Jian Jiao, I-Hong Hou, Yunlong Zhang, P. R. Kumar
2017 — conf
VisualLink: Strengthening the Connection between Hearing-impaired Elderly and their Family.
CHI Extended Abstracts
Hsiang-Ting Hong, Tzu-Yu Su, Po-Hsun Lee, Ping-Chun Hsieh, Mian-Jhong Chiu
2016 A* conf
Heavy-traffic analysis of QoE optimality for on-demand video streams over fading channels.
INFOCOM
Ping-Chun Hsieh, I-Hong Hou
2015 B conf
QoE-Optimal Scheduling for On-Demand Video Streams over Unreliable Wireless Networks.
MobiHoc
I-Hong Hou, Ping-Chun Hsieh
2015 A* conf
WiMAC: Rapid Implementation Platform for User Definable MAC Protocols Through Separation.
SIGCOMM
Simon Yau, Liang Ge, Ping-Chun Hsieh, I-Hong Hou, Shuguang Cui, P. R. Kumar, Amal Ekbal, Nikhil Kundargi