Zijie Geng - RankMe

27 papers A* 11Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	CoCo-MILP: Inter-Variable Contrastive and Intra-Constraint Competitive MILP Solution Prediction. AAAI Tianle Pu, Jianing Li, Yingying Gao, Shixuan Liu, Zijie Geng, Haoyang Liu, Chao Chen, Changjun Fan
2026	—	`conf`	From Memorization to Creation: Evaluating the Cognitive Depth of LLM?Generated Educational Questions. KDD (1) Xiaolong Wang, Zhe Zhao, Song Lai, Chaoli Zhang, Zijie Geng, Yu Tong, Ye Wei, Qingsong Wen
2026	J	`jnl`	Stabilizing Rubric Integration Training via Decoupled Advantage Normalization. CoRR Zelin Tan, Zhouliang Yu, Bohan Lin, Zijie Geng, Hejia Geng, Yudong Zhang, Mulei Zhang, Yang Chen, Shuyue Hu, Zhenfei Yin, Chen Zhang, Lei Bai
2025	J	`jnl`	Accelerating IC Thermal Simulation Data Generation via Block Krylov and Operator Action. CoRR Hong Wang, Wenkai Yang, Jie Wang, Huanshuo Dong, Zijie Geng, Zhen Huang, Depeng Xie, Zhezheng Hao, Hande Dong
2025	A*	`conf`	Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming. ICLR Haoyang Liu, Jie Wang, Zijie Geng, Xijun Li, Yuxuan Zong, Fangzhou Zhu, Jianye Hao, Feng Wu
2025	J	`jnl`	Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming. CoRR Haoyang Liu, Jie Wang, Zijie Geng, Xijun Li, Yuxuan Zong, Fangzhou Zhu, Jianye Hao, Feng Wu
2025	J	`jnl`	CoCo-MILP: Inter-Variable Contrastive and Intra-Constraint Competitive MILP Solution Prediction. CoRR Tianle Pu, Jianing Li, Yingying Gao, Shixuan Liu, Zijie Geng, Haoyang Liu, Chao Chen, Changjun Fan
2025	A*	`conf`	Differentiable Integer Linear Programming. ICLR Zijie Geng, Jie Wang, Xijun Li, Fangzhou Zhu, Jianye Hao, Bin Li, Feng Wu
2025	A*	`conf`	LaMPlace: Learning to Optimize Cross-Stage Metrics in Macro Placement. ICLR Zijie Geng, Jie Wang, Ziyan Liu, Siyuan Xu, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Feng Wu
2025	J	`jnl`	One Step Beyond: Feedthrough & Placement-Aware Rectilinear Floorplanner. CoRR Zhexuan Xu, Jie Wang, Siyuan Xu, Zijie Geng, Mingxuan Yuan, Feng Wu
2025	J	`jnl`	Piano: A Multi-Constraint Pin Assignment-Aware Floorplanner. CoRR Zhexuan Xu, Kexin Zhou, Jie Wang, Zijie Geng, Siyuan Xu, Shixiong Kai, Mingxuan Yuan, Feng Wu
2025	J	`jnl`	RoME: Domain-Robust Mixture-of-Experts for MILP Solution Prediction across Domains. CoRR Tianle Pu, Zijie Geng, Haoyang Liu, Shixuan Liu, Jie Wang, Li Zeng, Chao Chen, Changjun Fan
2024	A*	`conf`	Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling. ICLR Hong Wang, Zhongkai Hao, Jie Wang, Zijie Geng, Zhen Wang, Bin Li, Feng Wu
2024	J	`jnl`	Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling. CoRR Hong Wang, Zhongkai Hao, Jie Wang, Zijie Geng, Zhen Wang, Bin Li, Feng Wu
2024	J	`jnl`	Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms. CoRR 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, Yongdong Zhang, Feng Wu
2024	A*	`conf`	MILP-StuDio: MILP Instance Generation via Block Structure Decomposition. NeurIPS Haoyang Liu, Jie Wang, Wanbo Zhang, Zijie Geng, Yufei Kuang, Xijun Li, Bin Li, Yongdong Zhang, Feng Wu
2024	J	`jnl`	MILP-StuDio: MILP Instance Generation via Block Structure Decomposition. CoRR Haoyang Liu, Jie Wang, Wanbo Zhang, Zijie Geng, Yufei Kuang, Xijun Li, Bin Li, Yongdong Zhang, Feng Wu
2024	J	`jnl`	Machine Learning Insides OptVerse AI Solver: Design Principles and Applications. CoRR 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, Haoyang Liu, Zhiwu An, Muming Yang, Jianshu Li, Jie Wang, Junchi Yan, Defeng Sun, Tao Zhong, Yong Zhang, Jia Zeng, Mingxuan Yuan, Jianye Hao, Jun Yao, Kun Mao
2024	A*	`conf`	Neural Krylov Iteration for Accelerating Linear System Solving. NeurIPS Jian Luo, Jie Wang, Hong Wang, Huanshuo Dong, Zijie Geng, Hanzhu Chen, Yufei Kuang
2024	A*	`conf`	Reinforcement Learning within Tree Search for Fast Macro Placement. ICML Zijie Geng, Jie Wang, Ziyan Liu, Siyuan Xu, Zhentao Tang, Mingxuan Yuan, Jianye Hao, Yongdong Zhang, Feng Wu
2023	A*	`conf`	A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability. NeurIPS Zijie Geng, Xijun Li, Jie Wang, Xiao Li, Yongdong Zhang, Feng Wu
2023	J	`jnl`	A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability. CoRR Zijie Geng, Xijun Li, Jie Wang, Xiao Li, Yongdong Zhang, Feng Wu
2023	A*	`conf`	De Novo Molecular Generation via Connection-aware Motif Mining. ICLR Zijie Geng, Shufang Xie, Yingce Xia, Lijun Wu, Tao Qin, Jie Wang, Yongdong Zhang, Feng Wu, Tie-Yan Liu
2023	J	`jnl`	De Novo Molecular Generation via Connection-aware Motif Mining. CoRR Zijie Geng, Shufang Xie, Yingce Xia, Lijun Wu, Tao Qin, Jie Wang, Yongdong Zhang, Feng Wu, Tie-Yan Liu
2023	J	`jnl`	Generalization in Visual Reinforcement Learning with the Reward Sequence Distribution. CoRR Jie Wang, Rui Yang, Zijie Geng, Zhihao Shi, Mingxuan Ye, Qi Zhou, Shuiwang Ji, Bin Li, Yongdong Zhang, Feng Wu
2022	A*	`conf`	Learning Task-relevant Representations for Generalization via Characteristic Functions of Reward Sequence Distributions. KDD Rui Yang, Jie Wang, Zijie Geng, Mingxuan Ye, Shuiwang Ji, Bin Li, Feng Wu
2022	J	`jnl`	Learning Task-relevant Representations for Generalization via Characteristic Functions of Reward Sequence Distributions. CoRR Rui Yang, Jie Wang, Zijie Geng, Mingxuan Ye, Shuiwang Ji, Bin Li, Feng Wu