2026

4 papers

NeurIPS 2026

Hardware Co-Design

Dancing in Fetters: Pareto-Optimal On-Device LLMs under Hardware Constraints

Luoyang Sun, Jiwen Jiang, Yifeng Ding, Fengfa Li, Yan Song, Haifeng Zhang, Lei Ren, Kun Zhan, Chen Wei, Xie Yan, Jun Wang, Cheng Deng

AAMAS 2026

Reinforcement Learning

Feasible Constraint Policy Optimization for Safe Reinforcement Learning

Luoyang Sun*, Jiwen Jiang*, Ning Yang✉, Rasul Tutunov, Haifeng Zhang✉, Jun Wang

ACL 2026

LLM Architecture

GTA: Grouped-head latenT Attention

Luoyang Sun, Jiwen Jiang, Cheng Deng✉, Xinjian Wu, Haifeng Zhang✉, Lei Chen, Lionel Ni, Jun Wang✉

2026 ARR Submitted

LLM Architecture

Mosaic-μP: Hyperparameter Transfer for Large-Scale Modern LLMs

Jiwen Jiang, Junyuan Shang, Shuohuan Wang, Dianhai Yu

2025

3 papers

ICML 2025

Reinforcement Learning

TacticCraft: Natural Language-Driven Tactical Adaptation for StarCraft II

Weiyu Ma, Jiwen Jiang, Haobo Fu✉, Haifeng Zhang✉

arXiv Preprint

Hardware Co-Design

PLM: Efficient Peripheral Language Models Hardware-Co-Designed for Ubiquitous Computing

Luoyang Sun*, Jiwen Jiang*, Cheng Deng*✉, Yongcheng Zeng, Xinjian Wu, Wenxin Zhao, Qingfa Xiao, Jiachuan Wang, Lei Chen✉, Lionel M. Ni, Haifeng Zhang, Jun Wang✉