Wang, Zhihai

16 publications

ICLR 2025 A Graph Enhanced Symbolic Discovery Framework for Efficient Logic Optimization Yinqi Bai, Jie Wang, Lei Chen, Zhihai Wang, Yufei Kuang, Mingxuan Yuan, Jianye Hao, Feng Wu

ICML 2025 Accelerating Large Language Model Reasoning via Speculative Search Zhihai Wang, Jie Wang, Jilai Pan, Xilin Xia, Huiling Zhen, Mingxuan Yuan, Jianye Hao, Feng Wu

NeurIPS 2025 AttentionPredictor: Temporal Patterns Matter for KV Cache Compression Qingyue Yang, Jie Wang, Xing Li, Zhihai Wang, Chen Chen, Lei Chen, Xianzhi Yu, Wulong Liu, Jianye Hao, Mingxuan Yuan, Bin Li

NeurIPS 2025 Benchmarking End-to-End Performance of AI-Based Chip Placement Algorithms Zhihai Wang, Zijie Geng, Zhaojie Tu, Jie Wang, Yuxi Qian, Zhexuan Xu, Ziyan Liu, Siyuan Xu, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Bin Li, Feng Wu

ICLR 2025 Computing Circuits Optimization via Model-Based Circuit Genetic Evolution Zhihai Wang, Jie Wang, Xilin Xia, Dongsheng Zuo, Lei Chen, Yuzhe Ma, Jianye Hao, Mingxuan Yuan, Feng Wu

NeurIPS 2025 Dynamic Configuration for Cutting Plane Separators via Reinforcement Learning on Incremental Graph Mingxuan Ye, Jie Wang, Fangzhou Zhu, Zhihai Wang, Yufei Kuang, Xijun Li, Weilin Luo, Jianye Hao, Feng Wu

NeurIPS 2025 High-Performance Arithmetic Circuit Optimization via Differentiable Architecture Search Xilin Xia, Jie Wang, Wanbo Zhang, Zhihai Wang, Mingxuan Yuan, Jianye Hao, Feng Wu

ICML 2025 HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking Runquan Gui, Zhihai Wang, Jie Wang, Chi Ma, Huiling Zhen, Mingxuan Yuan, Jianye Hao, Defu Lian, Enhong Chen, Feng Wu

ICML 2024 A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design Zhihai Wang, Lei Chen, Jie Wang, Yinqi Bai, Xing Li, Xijun Li, Mingxuan Yuan, Jianye Hao, Yongdong Zhang, Feng Wu

ICML 2024 A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design Zhihai Wang, Jie Wang, Dongsheng Zuo, Ji Yunjie, Xilin Xia, Yuzhe Ma, Jianye Hao, Mingxuan Yuan, Yongdong Zhang, Feng Wu

AAAI 2024 Learning to Stop Cut Generation for Efficient Mixed-Integer Linear Programming Haotian Ling, Zhihai Wang, Jie Wang

NeurIPS 2024 Towards Next-Generation Logic Synthesis: A Scalable Neural Circuit Generation Framework Zhihai Wang, Jie Wang, Qingyue Yang, Yinqi Bai, Xing Li, Lei Chen, Jianye Hao, Mingxuan Yuan, Bin Li, Yongdong Zhang, Feng Wu

AAAI 2023 Efficient Exploration in Resource-Restricted Reinforcement Learning Zhihai Wang, Taoxing Pan, Qi Zhou, Jie Wang

ICLR 2023 Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model Zhihai Wang, Xijun Li, Jie Wang, Yufei Kuang, Mingxuan Yuan, Jia Zeng, Yongdong Zhang, Feng Wu

AAAI 2022 Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic Zhihai Wang, Jie Wang, Qi Zhou, Bin Li, Houqiang Li

MLJ 2005 Not so Naive Bayes: Aggregating One-Dependence Estimators Geoffrey I. Webb, Janice R. Boughton, Zhihai Wang