Peihao Wang

PhD student, Department of Electrical and Computer Engineering, University of Texas, Austin

Joined

March 2020

Names

Peihao Wang (Preferred)

Emails

****@shanghaitech.edu.cn (Confirmed)

****@utexas.edu (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

PhD student

Department of Electrical and Computer Engineering, University of Texas, Austin (utexas.edu)

2021 – 2026

Undergrad student

School of Information Science and Technology, ShanghaiTech University (shanghaitech.edu.cn)

2017 – 2021

Advisors, Relations & Conflicts

Coauthor

qiang liu

2023 – Present

PhD Advisor

Zhangyang Wang

2021 – Present

Coauthor

Pan Li

2021 – Present

Coauthor

Jingyi Yu

2018 – 2021

Expertise

Computer Vision

2019 – Present

Deep Learning

2019 – Present

Machine Learning

2019 – Present

Publications

Sparse Mixture-of-Experts for Compositional Generalization: Empirical Evidence and Theoretical Foundations of Optimal Sparsity
Jinze Zhao, Peihao Wang, Junjie Yang, Ruisi Cai, Gaowen Liu, Jayanth Srinivasa, Ramana Rao Kompella, Yingbin Liang, Zhangyang Wang
- CPAL 2026 (Proceedings Track) Oral
- Readers: Everyone
Can Test-Time Scaling Improve World Foundation Model?
Wenyan Cong, Hanqing Zhu, Peihao Wang, Bangya Liu, Dejia Xu, Kevin Wang, David Z. Pan, Yan Wang, Zhiwen Fan, Zhangyang Wang
- RIWM Non Archival
- Readers: Everyone
Towards Personalized Parameter Generation via Data-Conditioned Mapping
Ziheng Qin, Dongwen Tang, Mengxuan Wu, Yuhao Zhou, Zhiyuan Liang, Wangbo Zhao, Zekai Li, Panpan Zhang, Peihao Wang, Xuanlei Zhao, Zhaoyang Zeng, Tianlong Chen, Zhangyang Wang, Yang You, Kai Wang
- Submitted to ICLR 2026
- Readers: Everyone
Understanding the Mixture-of-Experts with Nadaraya-Watson Kernel
Chuanyang Zheng, Jiankai Sun, Yihang Gao, Enze Xie, Yuehao Wang, Peihao Wang, Ting Xu, Matthew Chang, Liliang Ren, Jingyao Li, Jing Xiong, Kashif Rasul, Mac Schwager, Anderson Schneider, Zhangyang Wang, Yuriy Nevmyvaka
- ICLR 2026 Poster
- Readers: Everyone
Revisiting Spectral Representations in Generative Diffusion Models
Yuehao Wang, Peihao Wang, Hanwen Jiang, Ziyi Yang, Qixing Huang, Zhangyang Wang
- Submitted to ICLR 2026
- Readers: Everyone
Baleen: Self‑Interpretable, Robust SSMs with Stochastic Selective Memory
Jiajun Zhu, Yuehao Wang, Peihao Wang, Ruisi Cai, Siqi Miao, Liliang Ren, Pan Li, Jason D. Lee, Zhangyang Wang
- Submitted to ICLR 2026
- Readers: Everyone
$\nabla$-Reasoner: LLM Reasoning via Test-Time Gradient Descent in Latent Space
Peihao Wang, Ruisi Cai, Zhen Wang, Hongyuan Mei, qiang liu, Pan Li, Zhangyang Wang
- ICLR 2026 Poster
- Readers: Everyone
Rethinking the Value of Multi-Agent Workflow: A Strong Single Agent Baseline
Jiawei Xu, Arief Koesdwiady, Sisong Bei, Yan Han, Baixiang Huang, Dakuo Wang, Yutong Chen, Zheshen Wang, Peihao Wang, Pan Li, Ying Ding
- Submitted to ICLR 2026
- Readers: Everyone
DD-Ranking: Rethinking the Evaluation of Dataset Distillation
Zekai Li, Xinhao Zhong, Mengxuan Wu, Samir Khaki, Zhiyuan Liang, Yuhao Zhou, Mingjia Shi, Ziqiao Wang, Xuanlei Zhao, Wangbo Zhao, Ziheng Qin, Pengfei Zhou, Haonan Wang, David Junhao Zhang, Jia-Wei Liu, Shaobo Wang, Dai Liu, Linfeng Zhang, Guang Li, Kun Wang et al. (32 additional authors not shown)
- Submitted to ICLR 2026
- Readers: Everyone
Graph-KV: Breaking Sequence via Injecting Structural Biases into Large Language Models
Haoyu Peter Wang, Peihao Wang, Mufei Li, Shikun Liu, Siqi Miao, Zhangyang Wang, Pan Li
- NeurIPS 2025 poster
- Readers: Everyone

View all 62 publications

Co-Authors

View all 204 co-authors