Zhezheng Hao

According to our database, Zhezheng Hao authored at least 13 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Scheduling Your LLM Reinforcement Learning with Reasoning Trees.

Hong Wang, Zhezheng Hao, Jian Luo, Chenxing Wei, Yao Shu, Lei Liu, Qiang Lin, Hande Dong, Jiawei Chen

CoRR, October, 2025

Accelerating IC Thermal Simulation Data Generation via Block Krylov and Operator Action.

Hong Wang, Wenkai Yang, Jie Wang, Huanshuo Dong, Zijie Geng, Zhen Huang, Depeng Xie, Zhezheng Hao, Hande Dong

CoRR, October, 2025

GAPO: Group Adaptive Policy Optimization for Real-World Code Edit.

Jianqing Zhang, Zhezheng Hao, Wei Xia, Hande Dong, Hong Wang, Chenxing Wei, Yuyan Zhou, Yubin Qi, Qiang Lin, Jian Cao

CoRR, October, 2025

Rethinking Entropy Interventions in RLVR: An Entropy Change Perspective.

Zhezheng Hao, Hong Wang, Haoyang Liu, Jian Luo, Jiarui Yu, Hande Dong, Qiang Lin, Can Wang, Jiawei Chen

CoRR, October, 2025

Acceleration Algorithms in GNNs: A Survey.

Lu Ma, Zeang Sheng, Xunkai Li, Xinyi Gao, Zhezheng Hao, Ling Yang, Xiaonan Nie, Jiawei Jiang, Wentao Zhang, Bin Cui

IEEE Trans. Knowl. Data Eng., June, 2025

Uncertainty-Aware Graph Structure Learning.

Shen Han, Zhiyao Zhou, Jiawei Chen, Zhezheng Hao, Sheng Zhou, Gang Wang, Yan Feng, Chun Chen, Can Wang

Proceedings of the ACM on Web Conference 2025, 2025

Language Pre-training Guided Masking Representation Learning for Time Series Classification.

Liaoyuan Tang, Zheng Wang, Jie Wang, Guanxiong He, Zhezheng Hao, Rong Wang, Feiping Nie

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Ensemble Clustering With Attentional Representation.

Zhezheng Hao, Zhoumin Lu, Guoxu Li, Feiping Nie, Rong Wang, Xuelong Li

IEEE Trans. Knowl. Data Eng., February, 2024

Multi-view and Multi-order Graph Clustering via Constrained l1,2-norm.

Haonan Xin, Zhezheng Hao, Zhensheng Sun, Rong Wang, Zongcheng Miao, Feiping Nie

Inf. Fusion, 2024

Acceleration Algorithms in GNNs: A Survey.

Lu Ma, Zeang Sheng, Xunkai Li, Xinyi Gao, Zhezheng Hao, Ling Yang, Wentao Zhang, Bin Cui

CoRR, 2024

Towards Expansive and Adaptive Hard Negative Mining: Graph Contrastive Learning via Subspace Preserving.

Zhezheng Hao, Haonan Xin, Long Wei, Liaoyuan Tang, Rong Wang, Feiping Nie

Proceedings of the ACM on Web Conference 2024, 2024

Multi-Class Support Vector Machine with Maximizing Minimum Margin.

Feiping Nie, Zhezheng Hao, Rong Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Multi-View K-Means with Laplacian Embedding.

Zhezheng Hao, Zhoumin Lu, Feiping Nie, Rong Wang, Xuelong Li

Proceedings of the IEEE International Conference on Acoustics, 2023