Learning Task-relevant Representations for Generalization via Characteristic Functions of Reward Sequence Distributions. - Rui Yang; Jie Wang 005; Zijie Geng; Mingxuan Ye; Shuiwang Ji; Bin Li 025; Feng Wu 001 (KDD, 2022)

De Novo Molecular Generation via Connection-aware Motif Mining. - Zijie Geng; Shufang Xie 003; Yingce Xia; Lijun Wu; Tao Qin 001; Jie Wang 005; Yongdong Zhang 001; Feng Wu 001; Tie-Yan Liu (ICLR, 2023)

A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability. - Zijie Geng; Xijun Li; Jie Wang 005; Xiao Li; Yongdong Zhang 001; Feng Wu 001 (NeurIPS, 2023)

Generalization in Visual Reinforcement Learning with the Reward Sequence Distribution. - Jie Wang 005; Rui Yang; Zijie Geng; Zhihao Shi; Mingxuan Ye; Qi Zhou 008; Shuiwang Ji; Bin Li 025; Yongdong Zhang 001; Feng Wu 001 (CoRR, 2023)

Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling. - Hong Wang; Zhongkai Hao; Jie Wang 005; Zijie Geng; Zhen Wang; Bin Li 025; Feng Wu 001 (ICLR, 2024)

Reinforcement Learning within Tree Search for Fast Macro Placement. - Zijie Geng; Jie Wang 005; Ziyan Liu; Siyuan Xu; Zhentao Tang; Mingxuan Yuan; Jianye Hao; Yongdong Zhang 001; Feng Wu 001 (ICML, 2024)

Machine Learning Insides OptVerse AI Solver: Design Principles and Applications. - Xijun Li; Fangzhou Zhu; Hui-Ling Zhen; Weilin Luo; Meng Lu; Yimin Huang; Zhenan Fan; Zirui Zhou; Yufei Kuang; Zhihai Wang; Zijie Geng; Yang Li 041; et al. (CoRR, 2024)

Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms. - Zhihai Wang; Zijie Geng; Zhaojie Tu; Jie Wang 005; Yuxi Qian; Zhexuan Xu; Ziyan Liu; Siyuan Xu; Zhentao Tang; Shixiong Kai; Mingxuan Yuan; Jianye Hao; et al. (CoRR, 2024)