Pihe Hu

According to our database, Pihe Hu authored at least 13 papers between 2018 and 2025.

Collaborative distances:

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

2025

Mixed Sparsity Training: Achieving 4× FLOP Reduction for Transformer Pretraining.

Pihe Hu, Shaolong Li, Xun Wang, Longbo Huang

Trans. Mach. Learn. Res., 2025

2024

Multi-User Delay-Constrained Scheduling With Deep Recurrent Reinforcement Learning.

Pihe Hu, Yu Chen, Ling Pan, Zhixuan Fang, Fu Xiao, Longbo Huang

IEEE/ACM Trans. Netw., June, 2024

Mixed Sparsity Training: Achieving 4⨉ FLOP Reduction for Transformer Pretraining.

Pihe Hu, Shaolong Li, Longbo Huang

CoRR, 2024

Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training.

Pihe Hu, Shaolong Li, Zhuoran Li, Ling Pan, Longbo Huang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback.

Yu Chen, Yihan Du, Pihe Hu, Siwei Wang, Desheng Wu, Longbo Huang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch.

Yiqin Tan, Pihe Hu, Ling Pan, Jiatai Huang, Longbo Huang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Towards Minimax Optimal Reward-free Reinforcement Learning in Linear MDPs.

Pihe Hu, Yu Chen, Longbo Huang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch.

Yiqin Tan, Pihe Hu, Ling Pan, Longbo Huang

CoRR, 2022

Effective multi-user delay-constrained scheduling with deep recurrent reinforcement learning.

Pihe Hu, Ling Pan, Yu Chen, Zhixuan Fang, Longbo Huang

Proceedings of the MobiHoc '22: The Twenty-third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Seoul, Republic of Korea, October 17, 2022

Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation.

Pihe Hu, Yu Chen, Longbo Huang

Proceedings of the International Conference on Machine Learning, 2022

2019

Optimal Multi-User Scheduling for the Unbalanced Full-Duplex Buffer-Aided Relay Systems.

Cheng Li, Pihe Hu, Yao Yao, Bin Xia, Zhiyong Chen

IEEE Trans. Wirel. Commun., 2019

2018

Optimal Hybrid Full-Duplex/Half-Duplex Scheme of the Buffer Aided Relay System.

Cheng Li, Bin Xia, Pihe Hu, Yao Yao

CoRR, 2018

Optimal Multi-User Scheduling of Buffer-Aided Relay Systems.

Pihe Hu, Cheng Li, Dingjie Xu, Bin Xia

Proceedings of the 2018 IEEE International Conference on Communications, 2018