Zhezheng Hao - RankMe

17 papers A* 4Misc 1Journal 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DSO: Dual-Scale Neural Operators for Stable Long-term Fluid Dynamics Forecasting. CoRR Huanshuo Dong, Hao Wu, Hong Wang, Qin-Yi Zhang, Zhezheng Hao
2026	J	`jnl`	ReCreate: Reasoning and Creating Domain Agents Driven by Experience. CoRR Zhezheng Hao, Hong Wang, Jian Luo, Jianqing Zhang, Yuyan Zhou, Qiang Lin, Can Wang, Hande Dong, Jiawei Chen
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	J	`jnl`	Acceleration Algorithms in GNNs: A Survey. IEEE Trans. Knowl. Data Eng. Lu Ma, Zeang Sheng, Xunkai Li, Xinyi Gao, Zhezheng Hao, Ling Yang, Xiaonan Nie, Jiawei Jiang, Wentao Zhang, Bin Cui
2025	J	`jnl`	GAPO: Group Adaptive Policy Optimization for Real-World Code Edit. CoRR Jianqing Zhang, Zhezheng Hao, Wei Xia, Hande Dong, Hong Wang, Chenxing Wei, Yuyan Zhou, Yubin Qi, Qiang Lin, Jian Cao
2025	A*	`conf`	Language Pre-training Guided Masking Representation Learning for Time Series Classification. AAAI Liaoyuan Tang, Zheng Wang, Jie Wang, Guanxiong He, Zhezheng Hao, Rong Wang, Feiping Nie
2025	J	`jnl`	Rethinking Entropy Interventions in RLVR: An Entropy Change Perspective. CoRR Zhezheng Hao, Hong Wang, Haoyang Liu, Jian Luo, Jiarui Yu, Hande Dong, Qiang Lin, Can Wang, Jiawei Chen
2025	J	`jnl`	Scheduling Your LLM Reinforcement Learning with Reasoning Trees. CoRR Hong Wang, Zhezheng Hao, Jian Luo, Chenxing Wei, Yao Shu, Lei Liu, Qiang Lin, Hande Dong, Jiawei Chen
2025	A*	`conf`	Uncertainty-Aware Graph Structure Learning. WWW Shen Han, Zhiyao Zhou, Jiawei Chen, Zhezheng Hao, Sheng Zhou, Gang Wang, Yan Feng, Chun Chen, Can Wang
2025	J	`jnl`	Uncertainty-Aware Graph Structure Learning. CoRR Shen Han, Zhiyao Zhou, Jiawei Chen, Zhezheng Hao, Sheng Zhou, Gang Wang, Yan Feng, Chun Chen, Can Wang
2024	J	`jnl`	Acceleration Algorithms in GNNs: A Survey. CoRR Lu Ma, Zeang Sheng, Xunkai Li, Xinyi Gao, Zhezheng Hao, Ling Yang, Wentao Zhang, Bin Cui
2024	J	`jnl`	Ensemble Clustering With Attentional Representation. IEEE Trans. Knowl. Data Eng. Zhezheng Hao, Zhoumin Lu, Guoxu Li, Feiping Nie, Rong Wang, Xuelong Li
2024	A*	`conf`	Multi-Class Support Vector Machine with Maximizing Minimum Margin. AAAI Feiping Nie, Zhezheng Hao, Rong Wang
2024	J	`jnl`	Multi-view and Multi-order Graph Clustering via Constrained l1,2-norm. Inf. Fusion Haonan Xin, Zhezheng Hao, Zhensheng Sun, Rong Wang, Zongcheng Miao, Feiping Nie
2024	A*	`conf`	Towards Expansive and Adaptive Hard Negative Mining: Graph Contrastive Learning via Subspace Preserving. WWW Zhezheng Hao, Haonan Xin, Long Wei, Liaoyuan Tang, Rong Wang, Feiping Nie
2023	Misc	`conf`	Multi-View K-Means with Laplacian Embedding. ICASSP Zhezheng Hao, Zhoumin Lu, Feiping Nie, Rong Wang, Xuelong Li
2023	J	`jnl`	Multi-class Support Vector Machine with Maximizing Minimum Margin. CoRR Feiping Nie, Zhezheng Hao, Rong Wang