Hui Ren

Hui Ren (任辉)

I am a junior undergraduate at ShanghaiTech University, majoring in computer science and technology. My current overall GPA is 3.92/4.0, which ranks 2/230 in the school at ShanghaiTech. I got full GPA in all CS and Math courses, with A+ grades in almost all CS courses.

From Feb. 2023, I acted as an undergraduate research assistant in PLUS Lab at ShanghaiTech University, advised by Prof. Xuming He. Currently, I am an exchange student at Massachusetts Institute of Technology (MIT) in Spring 2024. I am very fortunate to join the MIT CSAIL Vision Group and advised by Prof. Antonio Torralba and Prof. David Bau.

Email(ShanghaiTech) / Email(MIT) / CV / Github / LinkedIn / X

Research

I am interested in Computer Vision and Machine Learning. My current research work focuses on generative models, especially the editing of text-to-image diffusion models. Previously, I studied optimal transport, especially its application in deep clustering and 3D unsupervised segmentation in imbalanced scenarios.

I am looking forward to pursuing a Ph.D. degree in Computer Vision and Machine Learning in Fall 2025.

Currently, I am looking for a research internship position starting this summer(2024).

News

Feb. 2024: I joined MIT CSAIL Vision Group via MIT Undergraduate Research Opportunity Program (UROP).
Jan. 2024: Our paper P²OT was accepted by ICLR 2024!
Dec. 2023: I was awarded as Outstanding Student of ShanghaiTech, ranked top 2% in school.
Oct. 2023: I was admitted by MIT Special Student Program and will be an exchange student at MIT in Spring 2024.
Sep. 2023: Two papers about Deep clustering and 3D Novel Class Discovery were submitted to ICLR 2024.
Aug. 2023: Our paper CSFPN was accepted by BMVC 2023!
Jan. 2023: I was awarded the Third Prize in the 14th Chinese Mathematics Competition.

Publications

Note: * indicates equal contribution.

	P²OT: Progressive Partial Optimal Transport for Deep Imbalanced Clustering Chuyu Zhang, Hui Ren, Xuming He ICLR, 2024 Paper / Code
	SP²OT: Semantic-Regularized Progressive Partial Optimal Transport for Imbalanced Clustering Chuyu Zhang, Hui Ren, Xuming He Under Review Paper / Code
	Dual-level Adaptive Self-Labeling for Novel Class Discovery in Point Cloud Segmentation Ruijie Xu, Chuyu Zhang, Hui Ren, Xuming He Under Review
	Cascaded Sparse Feature Propagation Network for Interactive Segmentation Chuyu Zhang, Chuanyang Hu, Hui Ren, Yongfei Liu, Xuming He BMVC, 2023 Paper / Code

Selected course projects

Business War Policy Exploration
ShanghaiTech CS181: Artificial Intelligence

We proposed a business war model in which restaurants must balance attracting customers and making profits to maximize revenue and even defeat competitors.
We implemented and compared various AI strategies, including Expectimax search, Neural-Network prediction, and Reinforcement learning algorithms to explore the optimal policy.
Report / Code

Ray tracing based multi-resolution iso-surface rendering
ShanghaiTech CS171: Computer Graphics I

We rendered the iso-surface of vortices in a multi-resolution fluid velocity field based on ExaBricks data structure.
We implemented a bitmap accelerated KD-tree and BVH for multi-resolution data to support fast ray marching.
We proposed an advanced adaptive sampling strategy to solve the problem of rendering surface discontinuity, improving the rendering speed by more than 50x at the same precision.
We created a UI for conveniently adjusting the parameters and rendering.
Report / Code

Selected Awards and Honors

2023: Outstanding Student, ShanghaiTech University (Ranked top 2% in school)
2023: Third prize, The 14th Chinese Mathematics Competition
2022: Merit Student, ShanghaiTech University (Ranked top 3%-7% in school)
2019: First prize, The 5th Annual International Mathematical Modeling Challenge, Greater China Region Contest