Fanding Huang

I am a master student at Shenzhen International Graduate School, Tsinghua University, co-supervised by Zhi Wang, Jingyan Jiang and Faisal Nadeem Khan. I also work closely with Cheng Chi from Renmin University of China. Before that, I got B.S. in Automation from Hangzhou Dianzi University in 2024, supervised by Wenhui Zhou.

My current research focuses on Embodied Intelligence, Reinforcement Learning, Test-time Adaptation, MLLM & LLM & VLA & WAM. Here is my Email: hfd24@mails.tsinghua.edu.cn

Google Scholar / OpenReview / Github / Twitter

News

2026.09: We released ChunkTrust and RoboHarn-Evo.

2026.06: Our work DEFAR is accepted by ECCV 2026.

2026.04: Our work VERL is accepted by ACL 2026 Findings.

2026.02: Our work IGen is accepted by CVPR 2026.

2025.12: We have released a new paper IGen on data acquisition for robot learning.

2025.11: Our work MoETTA is accepted by AAAI 2026.

2025.09: We have released a new paper VERL on Reinforcement Learning for reasoning LLM.

2025.02: Our work COSMIC is accepted by CVPR 2025.

2023.07: Our work DTBS is accepted by ECAI 2023.

Education

Sept. 2024 - Present

M.S. Student, Tsinghua University SIGS, China

Data Science and Information Technology

Advisors: Zhi Wang, Jingyan Jiang, Faisal Nadeem Khan

Sept. 2020 - Jun. 2024

B.S. Student, Hangzhou Dianzi University, China

Automation

Advisor: Wenhui Zhou

Industrial Experience

Jul. 2026 - Oct. 2026

Horizon Robotics

Topic: Visual-Tactile-Language-Action Models (VTLA)

Jan. 2026 - Jul. 2026

Beijing XYZ Embodied AI Co., Ltd.

Topic: World-Action Models, Vision-Language-Action Models, and Embodied Agents

Jul. 2025 - Dec. 2025

Zhipu AI (Z.ai)

Topic: Embodied Reasoning for Vision-Language-Action Models

Publications and Preprints

* indicates equal contribution, † indicates corresponding author

	ChunkTrust: Adapting Execution Horizons for Robot Policies with Action-Expert Evidence Fanding Huang, Jingyan Jiang, Shifeng Bao, Mingkang Pu, Shiwei Li, Jing Xu, Shijia Xu, Guanbo Huang, Chenghao Gu, Yuzhi Huang, Chenxin Li, Faisal Nadeem Khan, Huan Yang (Shanghai Jiao Tong University), Yan Wang, Cheng Chi†, Zhi Wang† Preprint, 2026* [Project Page] [Paper] [arXiv] [Code]
	RoboHarn-Evo: Evolving Hierarchical Physical Knowledge for Self-Improving Robotic Manipulation Shifeng Bao, Fanding Huang*, Yihan Lin, Youhe Feng, Guanlin Li, Chen Zhao, Yang Li, Jiawei He, Cheng Chi, Jing Zhang† Preprint, 2026* [Project Page] [Paper] [arXiv] [Code]
	ChainVLA: Chaining Vision-Language-Action Queries through a Unified Execution State for Long-Horizon Manipulation Yuzhi Huang, Weijue Bu, Ziyi Xiong, Jie Wu, Fanding Huang, Jingyan Jiang†, Zhi Wang† Preprint, 2026 [Project Page] [Paper] [arXiv]
	PRM-as-a-Judge: A Dense Evaluation Paradigm for Fine-Grained Robotic Auditing Yuheng Ji, Yuyang Liu, Huajie Tan, Xuchuan Huang, Fanding Huang, Yijie Xu, Cheng Chi, Yuting Zhao, Huaihai Lyu, Peterson Co, Mingyu Cao, Qiongyu Zhang, Zhe Li, Enshen Zhou, Pengwei Wang, Zhongyuan Wang, Shanghang Zhang†, Xiaolong Zheng† Preprint, 2026* [Project Page] [Paper] [arXiv] [Code]
	IGen: Scalable Data Generation for Robot Learning from Open-World Images Chenghao Gu, Haolan Kang, Junchao Lin, Jinghe Wang, Duo Wu, Shuzhao Xie, Fanding Huang, Junchen Ge, Ziyang Gong, Letian Li, Hongying Zheng, Changwei Lv, Zhi Wang† IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026* [Project Page] [Paper] [arXiv] [Code]
	Exposure Bias Can Alleviate Itself via Directional and Frequency Rectification in Flow Matching Guanbo Huang, Jingjia Mao, Fanding Huang, Fengkai Liu, Xiangyang Luo, Yaoyuan Liang, Jiasheng Lu, Xiaoe Wang, Pei Liu, Ruiliu Fu†, Ruqi Huang†, Shao-Lun Huang† European Conference on Computer Vision (ECCV), 2026* [Project Page] [Paper] [arXiv] [Code]
	Semantic-Space Exploration and Exploitation in RLVR for LLM Reasoning Fanding Huang, Guanbo Huang, Xiao Fan, Yi He, Xiao Liang, Xiao Chen, Qinting Jiang, Faisal Nadeem Khan, Jingyan Jiang†, Zhi Wang† The 64th Annual Meeting of the Association for Computational Linguistics (ACL Findings), 2026 [Project Page] [Paper] [arXiv] [Code]
	Test-Time Distillation for Continual Model Adaptation Xiao Chen, Jiazhen Huang, Zhiming Liu, Qinting Jiang, Fanding Huang, Jingyan Jiang†, Zhi Wang† IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR Findings), 2026 [Paper] [arXiv] [Code]
	MoETTA: Test-Time Adaptation Under Mixed Distribution Shifts with MoE-LayerNorm Xiao Fan, Jingyan Jiang†, Zhaoru Chen, Fanding Huang, Xiao Chen, Qinting Jiang, Bowen Zhang, Xing Tang, Zhi Wang The 40th Annual AAAI Conference on Artificial Intelligence (AAAI), 2026* [Paper] [arXiv] [Code]
	COSMIC: Clique-Oriented Semantic Multi-space Integration for Robust CLIP Test-Time Adaptation Fanding Huang, Jingyan Jiang, Qinting Jiang, Hebei Li, Faisal Nadeem Khan†, Zhi Wang† IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025 [Project Page] [Paper] [arXiv] [Code]
	Mecon: A GNN-based Graph Classification Framework for MEV Activity Detection Zihao Yao, Fanding Huang, Yannan Li†, Wei Duan, Peng Qian, Nan Yang, Willy Susilo Expert Systems with Applications (ESWA, IF=7.5), 2025 [Paper]
	DTBS: Dual-Teacher Bi-directional Self-training for Domain Adaptation in Nighttime Semantic Segmentation Fanding Huang, Zihao Yao, Wenhui Zhou† European Conference on Artificial Intelligence (ECAI), 2023 [Project Page] [Paper] [arXiv] [Code]

Selected Honors and Awards

Tsinghua Shenzhen Graduate School First-Class Scholarship, 2025. (清华深研院一等奖学金)

Outstanding Bachelor Graduate of Hangzhou, 2024. (杭州市优秀毕业生, Top 5% in HDU)

CMC2023 Frist Prize, 2023. (全国大学生数学竞赛非数A类一等奖)

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