Hanqing Wang | 王涵情

Hanqing (HqKing) Wang | 王涵情

🦊🦁🐮🐹🐰🐸🐶🐻🐨🐯

Hello, I am Hanqing Wang, an incoming Mphil student in Hong Kong University of Science and Technology(GZ). I got my bachelor degree at 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 (IEEE Fellow) and Prof. Jingya Wang . Now I am a research intern at ShangHai AI Lab, working with AI Bench team which is directed by Prof. Guangtao Zhai (IEEE Fellow).

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!🤗🤩🤪

Email / Google Scholar / Github / WeChat

contact me: wanghanqing0424@gmail.com

News 🔥

[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 !!

Research 📝

My research interest is broadly in MLLMs Generative World Models, 3D Computer Vision, and their application in Robotics currently. My research objective is to build an intelligent agent with the robust and generalizable ability to perceive and interact with a complex real-world environment. Representative works are highlighted.

	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 / 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.
	SDEval:Safety Dynamic Evaluation for Multimodal Large Language Models Hanqing Wang et. al., Paper / Project / In Submission, 2025 We design a dynamic evaluation protool for MLLM safety evaluation.
	DAG: Unleash the Potential of Diffusion Model for Open-Vocabulary 3D Affordance Grounding Hanqing Wang, Zhenhao Zhang, Kaiyang Ji, Mingyu Liu, Wenti Yin, Yuchao Chen, Zhirui Liu, Hangxing Zhang (equal contribution) Paper / Project / Code / Under Review, 2025 We unleash the powerful affordance knowledge within diffusion model for 3D affordance grounding.
	Draw with Thought: Unleashing Multimodal Reasoning for Scientific Diagram Generation Zhiqing Cui, Jiahao Yuan, Hanqing Wang, Yanshu Li, Chenxu Du, Zhenglong Ding Paper / Project / ACM MM, 2025 We introduce DWT, a training free framework for MLLMs to perform awesome scientific diagram generation
	SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model Chulin Yu, Hanqing Wang, , 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