Zihu Wang

According to our database, Zihu Wang authored at least 12 papers between 2023 and 2026.

Collaborative distances:

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

2026

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey.

Guibin Zhang, Hejia Geng, Xiaohang Yu, Zhenfei Yin, Zaibin Zhang, Zelin Tan, Heng Zhou, Zhong-Zhi Li, Xiangyuan Xue, Yijiang Li, Yifan Zhou, Yang Chen, Chen Zhang, Yutao Fan, Zihu Wang, Songtao Huang, Francisco Piedrahita Velez, Yue Liao, Hongru Wang, Mengyue Yang, Heng Ji, Jun Wang, Shuicheng Yan, Philip Torr, Lei Bai

Trans. Mach. Learn. Res., 2026

AMS-KV: Adaptive KV Caching in Multi-Scale Visual Autoregressive Transformers.

Boxun Xu, Yu Wang, Zihu Wang, Peng Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Khan-GCL: Kolmogorov-Arnold Network Based Graph Contrastive Learning with Hard Negatives.

Zihu Wang, Boxun Xu, Hejia Geng, Peng Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

VEGAS: Mitigating Hallucinations in Large Vision-Language Models via Vision-Encoder Attention Guided Adaptive Steering.

Zihu Wang, Boxun Xu, Yuxuan Xia, Peng Li

CoRR, December, 2025

AMS-KV: Adaptive KV Caching in Multi-Scale Visual Autoregressive Transformers.

Boxun Xu, Yu Wang, Zihu Wang, Peng Li

CoRR, November, 2025

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey.

Guibin Zhang, Hejia Geng, Xiaohang Yu, Zhenfei Yin, Zaibin Zhang, Zelin Tan, Heng Zhou, Zhongzhi Li, Xiangyuan Xue, Yijiang Li, Yifan Zhou, Yang Chen, Chen Zhang, Yutao Fan, Zihu Wang, Songtao Huang, Yue Liao, Hongru Wang, Mengyue Yang, Heng Ji, Michael Littman, Jun Wang, Shuicheng Yan, Philip Torr, Lei Bai

CoRR, September, 2025

2024

Contrastive Learning with Consistent Representations.

Zihu Wang, Yu Wang, Zhuotong Chen, Hanbin Hu, Peng Li

Trans. Mach. Learn. Res., 2024

PID Control-Based Self-Healing to Improve the Robustness of Large Language Models.

Zhuotong Chen, Zihu Wang, Yifan Yang, Qianxiao Li, Zheng Zhang

Trans. Mach. Learn. Res., 2024

On Learning Discriminative Features from Synthesized Data for Self-supervised Fine-Grained Visual Recognition.

Zihu Wang, Lingqiao Liu, Scott Ricardo Figueroa Weston, Samuel Tian, Peng Li

Proceedings of the Computer Vision - ECCV 2024, 2024

Learn-by-Compare: Analog Performance Prediction using Contrastive Regression with Design Knowledge.

Zihu Wang, Karthik Somayaji N. S., Peng Li

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

Contrastive Learning with Consistent Representations.

Zihu Wang, Yu Wang, Hanbin Hu, Peng Li

CoRR, 2023

Recognizing Wafer Map Patterns Using Semi-Supervised Contrastive Learning with Optimized Latent Representation Learning and Data Augmentation.

Zihu Wang, Hanbin Hu, Chen He, Peng Li

Proceedings of the IEEE International Test Conference, 2023