| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICML | 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 |
| 2025 | ICML | Accelerating Large Language Model Reasoning via Speculative Search. | Zhihai Wang, Jie Wang, Jilai Pan, Xilin Xia, Huiling Zhen, Mingxuan Yuan, Jianye Hao, Feng Wu |
| 2024 | AAAI | Learning to Stop Cut Generation for Efficient Mixed-Integer Linear Programming. | Haotian Ling, Zhihai Wang, Jie Wang |
| 2024 | ICML | 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 |
| 2024 | ICML | A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design. | Zhihai Wang, Jie Wang, Dongsheng Zuo, Yunjie Ji, Xilin Xia, Yuzhe Ma, Jianye Hao, Mingxuan Yuan, Yongdong Zhang, Feng Wu |
| 2023 | AAAI | Efficient Exploration in Resource-Restricted Reinforcement Learning. | Zhihai Wang, Taoxing Pan, Qi Zhou, Jie Wang |
| 2023 | HPCC | TCHA: Contrastive Learning via Hybrid Granularities and Adaptive Sampling for Multivariate Time Series. | Shilei Hao, Zhihai Wang, Chixuan Wei |
| 2023 | ICLR | 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 |
| 2022 | AAAI | Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic. | Zhihai Wang, Jie Wang, Qi Zhou, Bin Li, Houqiang Li |
| 2021 | PAKDD | A Proximity Forest for Multivariate Time Series Classification. | Yue Zhang, Zhihai Wang, Jidong Yuan |
| 2019 | CIKM | Locally Slope-based Dynamic Time Warping for Time Series Classification. | Jidong Yuan, Qianhong Lin, Wei Zhang, Zhihai Wang |
| 2019 | EMO | Convergence Acceleration for Multiobjective Sparse Reconstruction via Knowledge Transfer. | Bai Yan, Qi Zhao, J. Andrew Zhang, Yonghui Li, Zhihai Wang |
| 2018 | ICALT | A Time Series Classification Method for Behaviour-Based Dropout Prediction. | Haiyang Liu, Zhihai Wang, Phillip Benachour, Philip Tubman |
| 2018 | ICMLA | Prediction of Ejection State for a Pneumatic Valve-Controlled Micro-Droplet Generator by a BP Neural Network. | Fei Wang, Jiangeng Li, Yiwei Wang, Weijie Bao, Zhixuan Er, Xiaoyi Wang, Keyan Ren, Zhihai Wang |
| 2018 | ICMV | Feedback control of ejection state of a pneumatic valve-controlled micro-droplet generator through machine vision. | Fei Wang, Jiangeng Li, Yiwei Wang, Weijie Bao, Xiao Chen, Hui Zhang, Zhihai Wang |
| 2018 | ICONIP | An Effective Lazy Shapelet Discovery Algorithm for Time Series Classification. | Wei Zhang, Zhihai Wang, Jidong Yuan, Shilei Hao |
| 2018 | PAKDD | Random Pairwise Shapelets Forest. | Mohan Shi, Zhihai Wang, Jidong Yuan, Haiyang Liu |
| 2018 | PRICAI | A Lazy One-Dependence Classification Algorithm Based on Selective Patterns. | Zhuoya Ju, Zhihai Wang, Shiqiang Wang |
| 2017 | ICONIP | A Pattern-Based Bayesian Classifier for Data Stream. | Jidong Yuan, Zhihai Wang, Yange Sun, Wei Zhang, Jingjing Jiang |
| 2015 | ICA3PP | A Simple Local Search Algorithm for Minimizing Interference in Wireless Sensor Networks. | Zhihai Wang, Weidong Chen |
| 2015 | PAKDD | Coupling Multiple Views of Relations for Recommendation. | Bin Fu, Guandong Xu, Longbing Cao, Zhihai Wang, Zhiang Wu |
| 2013 | ICDM | Leveraging Supervised Label Dependency Propagation for Multi-label Learning. | Bin Fu, Guandong Xu, Zhihai Wang, Longbing Cao |
| 2012 | PAKDD | Learning Tree Structure of Label Dependency for Multi-label Learning. | Bin Fu, Zhihai Wang, Rong Pan, Guandong Xu, Peter Dolog |
| 2010 | ICDM | Learning Robust Bayesian Network Classifiers in the Space of Markov Equivalent Classes. | Zhongfeng Wang, Zhihai Wang, Bin Fu |
| 2010 | ICDM | Learning Restricted Bayesian Network Classifiers with Mixed Non-i.i.d. Sampling. | Zhongfeng Wang, Zhihai Wang, Bin Fu |
| 2009 | ADMA | OFFD: Optimal Flexible Frequency Discretization for Nave Bayes Classification. | Song Wang, Fan Min, Zhihai Wang, Tianyu Cao |
| 2008 | ICNC | A Parallel Algorithm For Image Semantic Information Searching. | Yi Ouyang, Yun Ling, Zhihai Wang |
| 2007 | ISNN | Learning Bayesian Networks Based on a Mutual Information Scoring Function and EMI Method. | Fengzhan Tian, Haisheng Li, Zhihai Wang, Jian Yu |
| 2007 | KES | Learning Bayesian Networks Using Evolutionary Algorithm and a Variant of MDL Score. | Fengzhan Tian, Yanfeng Zhang, Zhihai Wang, Houkuan Huang |
| 2007 | PAKDD | Learning Bayesian Networks with Combination of MRMR Criterion and EMI Method. | Fengzhan Tian, Feng Liu, Zhihai Wang, Jian Yu |
| 2006 | PAKDD | Regularized Semi-supervised Classification on Manifold. | Lianwei Zhao, Siwei Luo, Yanchang Zhao, Lingzhi Liao, Zhihai Wang |
| 2005 | CIS | An Improved kNN Algorithm - Fuzzy kNN. | Wenqian Shang, Houkuan Huang, Haibin Zhu, Yongmin Lin, Zhihai Wang, Youli Qu |
| 2004 | PAKDD | Selective Augmented Bayesian Network Classifiers Based on Rough Set Theory. | Zhihai Wang, Geoffrey I. Webb, Fei Zheng |
| 2003 | PAKDD | A New Restricted Bayesian Network Classifier. | Hongbo Shi, Zhihai Wang, Geoffrey I. Webb, Houkuan Huang |
| 2002 | AusDM | A Heuristic Lazy Bayesian Rule Algorithm. | Zhihai Wang, Geoffrey I. Webb |
| 2002 | AusDM | Averaged One-Dependence Estimators: Preliminary Results. | Geoffrey I. Webb, Janice R. Boughton, Zhihai Wang |
| 2002 | ICDM | Comparison of Lazy Bayesian Rule and Tree-Augmented Bayesian Learning. | Zhihai Wang, Geoffrey I. Webb |