Hanqing Wang | 王涵情

Hanqing (HqKing) Wang | 王涵情

🦊🦁🐮🐹🐰🐸🐶🐻🐨🐯

Hello, I am Hanqing Wang, a first-year MPhil student in the Hong Kong University of Science and Technology (HKUST), Guangzhou campus, advised by Prof. Hui Xiong (IEEE, ACM, AAAI, AAAS Fellow) in the AI+ Lab. I got my bachelor's degree at the School of Artificial Intelligence and Automation, Huazhong University of Science and Technology HUST AIA. I once did research at VDI Center of ShanghaiTech University, where I worked with Prof. Jingyi Yu and Yuexin Ma. I'm also fortunate to work with Prof. Zhiyuan Ma in Huazhong University of Science and Technology (HUST) . And I had a wonderful time as a research intern at Shanghai AI Lab, working with the AI Bench team, which is directed by Prof. Guangtao Zhai .

I'm currently interested in 3D Vision, MLLMs, Generative World Models, and their applications in robotics. Click Here to visit my CV. If you have any questions, feel free to drop me an email!🤗🤩🤪

[Note] I am actively looking for Fall 2027 CS Ph.D. programs！Feel free to contact me !!

Email / Google Scholar / Github /

Contact me: wanghanqing0424@gmail.com

News 🔥

[2026/01] 🎉 Kardia-R1 accepted by WWW 2026 !!!

[2025/11] 🎉 I am honored to receive the AAAI Student Scholarship! See you in SG !!!

[2025/11] 🎉 Two papers are accepted to AAAI 2026, with one oral presentation, see you in SG !!!

[2025/07] 🎉 DAG is accepted by WAIC Academic (World Artificial Intelligence Conference) !!!

[2025/07] 🎉 Check our AIBench here!!!

[2025/07] 🎉 Draw with Thought accepted by ACM Multimedia 2025!!!

[2025/07] 🎉 I have joined IEEE as a student member !!

[2025/06] 🎉 Awesome Affordance Learning GitHub stars

merged in Embodied-AI-Guide GitHub stars

!!!

[2025/04] 🎉 DAG is coming, please check our project page DAG.

[2025/04] 🎉 A new journey at ShangHai AI lab as a research intern !!

[2024/04] 🎉 Draw With Thought released on arxiv, check it now!!

[2025/02] 🎉 1 paper accepted to CVPR 2025 !!

[2025/02] 🎉 I was honored to be a reviewer in the ICLR 2025 workshop for sci-llm.

[2024/06] 🎉 I was honored to be selected as an outstanding graduate in HUST !!

Projects 🚀

	AIBENCH: Towards Trustworthy Evaluation Under the 45° Law AIBench Team@ShangHai AI Lab Zicheng Zhang, Junying Wang, Yijin Guo, Farong Wen, Zijian Chen,Hanqing Wang, Wenzhe Li, Lu Sun, Yingjie Zhou, Jianbo Zhang, Bowen Yan, Ziheng Jia, Jiahao Xiao, Yuan Tian, Xiangyang Zhu, Kaiwei Zhang, Chunyi Li, Xiaohong Liu, Xiongkuo Min, Qi Jia, Guangtao Zhai#. Paper / Project Display, JCR Q1, CAS Q2, 2025 We present AIBench, a flexible and rapidly updating platform that aggregates evaluation results from commercial platforms, popular open-source leaderboards, and internal evaluation benchmarks.
	Awesome-Affordance-Learning Founder & Project Leader Project page We offers a comprehensive and up-to-date collection of research papers on Affordance Learning.
	Embodied-AI-Guide Contributor Project page Embodied-AI-Guide received over 10k Github stars and became the most popular chinese Embodied AI tutorial !.

Research 💡

My research interest is broadly in MLLMs Generative World Models, 3D Computer Vision, and their application in Robotics currently. My primary objective is to develop an intelligent agent endowed with robust, generalizable capabilities to perceive and interact with the real world. Representative works are highlighted.

Publications 📝 * Indicates Equal Contribution, † Indicates Project Leader, # Indicates Corresponding Author. Check my full papers in my Google Scholar Embodied Intelligence 🤖
	FSAG: Enhancing Human-to-Dexterous-Hand Finger-Specific Affordance Grounding via Diffusion Models Yifan Han, Pengfei Yi, Junyan Li, Hanqing Wang, Gaojing Zhang, Qi Peng Liu, Wenzhao Lian# Arxiv Under Review
	A4-Agent: An Agentic Framework for Zero-Shot Affordance Reasoning Zixin Zhang, Kanghao Chen, Hanqing Wang* (Equal Contribution) , Hongfei Zhang, Harold Haodong Chen, Chenfei Liao, Litao Guo, Ying-Cong Chen# Arxiv / Project / Code Under Review
	Affordance-R1: Reinforcement Learning for Generalizable Affordance Reasoning in Multimodal Large Language Model Hanqing Wang, Shaoyang Wang, Yiming Zhong, Zemin Yang, Jiamin Wang, Zhiqing Cui, Jiahao Yuan, Yifan Han, Mingyu Liu, Yuexin Ma# Arxiv / Project / Code AAAI 2026, Oral We introduce Affordance-R1, which is capable of generating explicit reasoning alongside the final answer. With the help of the proposed affordance reasoning reward, it achieves robust zero-shot generalization and exhibits emergent test-time reasoning capabilities.
	SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model Chulin Yu, Hanqing Wang(Equal Contribution) , Ye Shi, Haoyang Luo, Sibei Yang, Jingyi Yu, Jingya Wang# (equal contribution) Paper / Project / Code CVPR, 2025* We endow MLLM with Sequential Affordance Reasoning ability which is significant for Embodied-AI
Multimodal Large Language Models 🧠
	SDEval: Safety Dynamic Evaluation for Multimodal Large Language Models Hanqing Wang, Yuan Tian, Mingyu Liu, Zhenghao Zhang, Xiangyang Zhu# Arxiv / Code AAAI 2026 We design a dynamic evaluation protocol for MLLM safety evaluation.
	Kardia-R1: Unleashing LLMs to Reason toward Understanding and Empathy for Emotional Support via Rubric-as-Judge Reinforcement Learning Jiahao Yuan, Zhiqing Cui, Hanqing Wang, Yuansheng Gao, Yucheng Zhou, Usman Naseem# Arxiv / Code WWW 2026
	Draw with Thought: Unleashing Multimodal Reasoning for Scientific Diagram Generation Zhiqing Cui, Jiahao Yuan, Hanqing Wang, Yanshu Li, Chenxu Du, Zhenglong Ding# Paper / Code ACM MM, 2025 Oral We introduce DWT, a training free framework for MLLMs to perform awesome scientific diagram generation