Liangyan Gui

I am a Research Assistant Professor of Computer Science at UIUC, where I work on computer vision and machine learning, with a specific focus on predictive learning and self-supervised learning.

Before joining UIUC, I worked at Argo with Deva Ramanan. I was a Postdoc at CMU, working with José M.F. Moura. I finished my PhD at CMU, advised by José M.F. Moura, and my master and undergraduate degrees at Tsinghua University.

Email: lgui@illinois.edu  /  Google Scholar

profile photo
Selected Publications
InterPrior: Scaling Generative Control for Physics-Based Human-Object Interactions
Sirui Xu, Samuel Schulter, Morteza Ziyadi, Xialin He, Xiaohan Fei, Yu-Xiong Wang, Liang-Yan Gui,
CVPR, 2026
Project page / PDF
Unleashing Guidance Without Classifiers for Human-Object Interaction Animation
Ziyin Wang, Sirui Xu, Chuan Guo, Bing Zhou, Jiangshan Gong, Jian Wang, Yu-Xiong Wang, Liang-Yan Gui,
ICLR, 2026
BEAT: Visual Backdoor Attacks on VLM-based Embodied Agents via Contrastive Trigger Learning
Qiusi Zhan, Hyeonjeong Ha, Rui Yang, Sirui Xu, Hanyang Chen, Liang-Yan Gui, Yu-Xiong Wang, Huan Zhang, Heng Ji, Daniel Kang
ICLR, 2026
Project page / PDF / Code
3D-Fixup: Advancing Photo Editing with 3D Priors
Yen-Chi Cheng, Krishna Kumar Singh, Jae Shin Yoon, Alex Schwing, Liang-Yan Gui, Matheus Gadelha, Paul Guerrero, Nanxuan Zhao
SIGGRAPH, 2025
Project page / PDF
Dexplore: Scalable Neural Control for Dexterous Manipulation from Reference-Scoped Exploration
Sirui Xu, Yu-Wei Chao, Liuyu Bian, Arsalan Mousavian, Yu-Xiong Wang, Liang-Yan Gui, Wei Yang
CoRL, 2025
Project page / PDF / Code
InterMimic: Towards Universal Whole-Body Control for Physics-Based Human-Object Interactions
Sirui Xu, Hung Yu Ling, Yu-Xiong Wang, Liang-Yan Gui
CVPR Highlight, 2025
Project page / PDF / Code
InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation
Sirui Xu, Dongting Li, Yucheng Zhang, Xiyan Xu, Qi Long, Ziyin Wang, Yunzhi Lu, Shuchang Dong, Hezi Jiang, Akshat Gupta, Yu-Xiong Wang, Liang-Yan Gui
CVPR, 2025
Project page / PDF / Code
MotionDiT: Text-Based Human Motion Editing with Motion Similarity Prediction via Diffusion Transformers
Zhengyuan Li, Kai Cheng, Anindita Ghosh, Uttaran Bhattacharya, Liang-Yan Gui, Aniket Bera
CVPR, 2025
Project page / PDF / Code
Argus: Vision-Centric Reasoning with Grounded Chain-of-Thought
Yunze Man, De-An Huang, Guilin Liu, Shiwei Sheng, Shilong Liu, Liang-Yan Gui, Jan Kautz, Yu-Xiong Wang, Zhiding Yu
CVPR, 2025
Project page / PDF
Floating No More: Object-Ground Reconstruction from a Single Image
Yunze Man, Yichen Sheng, Jianming Zhang, Liang-Yan Gui, Yu-Xiong Wang
CVPR, 2025
Project page / PDF
LocateAnything3D: Vision-Language 3D Detection with Chain-of-Sight
Yunze Man, Shihao Wang, Guowen Zhang, Johan Bjorck, Zhiqi Li, Liang-Yan Gui, Jim Fan, Jan Kautz, Yu-Xiong Wang, Zhiding Yu
Tech Report, 2025
Project page / PDF
Emerging Pixel Grounding in Large Multimodal Models Without Grounding Supervision
Shengcao Cao, Liang-Yan Gui, Yu-Xiong Wang,
ICCV Findings, 2024
Project page / PDF / Code
InterDreamer: Zero-Shot Text to 3D Dynamic Human-Object Interaction
Sirui Xu, Ziyin Wang, Yu-Xiong Wang, Liang-Yan Gui
NeurIPS, 2024
Project page / PDF
Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Reasoning
Yunze Man, Shuhong Zheng, Zhipeng Bao, Martial Hebert, Liang-Yan Gui, Yu-Xiong Wang
NeurIPS, 2024
Project page / PDF / Code
Aligning Large Multimodal Models with Factually Augmented RLHF
Zhiqing Sun, Sheng Shen, Shengcao Cao, Haotian Liu, Chunyuan Li, Yikang Shen, Chuang Gan, Liang-Yan Gui, Yu-Xiong Wang, Yiming Yang, Kurt Keutzer, Trevor Darrell
ACL Findings, 2024
Project page / PDF / Code
Situational Awareness Matters in 3D Vision Language Reasoning
Yunze Man, Liang-Yan Gui, Yu-Xiong Wang,
CVPR, 2024
Project page / PDF / Code
SOHES: Self-supervised Open-world Hierarchical Entity Segmentation
Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi Zhang, Handong Zhao, Ani Nenkova, Liang-Yan Gui, Tong Sun, Yu-Xiong Wang,
ICLR, 2024
Project page / PDF / Code
Virtual Pets: Animatable Animal Generation in 3D Scenes
Yen-Chi Cheng, Chieh Hubert Lin, Chaoyang Wang, Yash Kant, Sergey Tulyakov, Alex Schwing, Liang-Yan Gui, Hsin-Ying Lee
arXiv, 2023
Project page / PDF / Code
HASSOD: Hierarchical Adaptive Self-Supervised Object Detection
Shengcao Cao, Dhiraj Joshi, Liang-Yan Gui, Yu-Xiong Wang
NeurIPS, 2023
Project page / PDF / Code
InterDiff: Forecasting 3D Human-Object Interaction with Physics-Informed Diffusion
Sirui Xu, Zhengyuan Li, Yu-Xiong Wang, Liang-Yan Gui
ICCV, 2023
Project page / PDF / Code
DualCross: Cross-Modality Cross-Domain Adaptation for Monocular BEV Perception
Yunze Man, Liang-Yan Gui, Yu-Xiong Wang
IROS, 2023
Project page / PDF / Code
Learning Lightweight Object Detectors via Progressive Knowledge Distillation
Shengcao Cao, Mengtian Li, James Hays, Deva Ramanan, Yu-Xiong Wang, Liang-Yan Gui
ICML, 2023
PDF
Stochastic Multi-Person 3D Motion Forecasting
Sirui Xu, Yu-Xiong Wang, Liang-Yan Gui
ICLR, 2023 (Notable Top 25%)
Project page / PDF / Code
SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation
Yen-Chi Cheng, Hsin-Ying Lee, Sergey Tulyakov, Alex Schwing*, Liang-Yan Gui*
CVPR, 2023
Project page / PDF / Code

BEV-Guided Multi-Modality Fusion for Driving Perception
Yunze Man, Liang-Yan Gui, Yu-Xiong Wang
CVPR, 2023
Project page / PDF / Code

Contrastive Mean Teacher for Domain Adaptive Object Detectors
Shengcao Cao, Dhiraj Joshi, Liang-Yan Gui, Yu-Xiong Wang
CVPR, 2023
PDF

Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal Anchors
Sirui Xu, Yu-Xiong Wang*, Liang-Yan Gui*
ECCV, 2022 (Oral)
Project page / PDF / Code

Joint Forecasting of Panoptic Segmentations with Difference Attention
Colin Graber, Cyril Jazra, Wenjie Luo, Liang-Yan Gui*, Alexander Schwing
CVPR, 2022 (Oral)
PDF / Code

Adversarial Geometry-Aware Human Motion Prediction
Liang-Yan Gui*, Yu-Xiong Wang*, Xiaodan Liang, José M. F. Moura
ECCV, 2018 (Oral)
PDF

Few-Shot Human Motion Prediction via Meta-Learning
Liang-Yan Gui*, Yu-Xiong Wang, Deva Ramanan, José M. F. Moura
ECCV, 2018
PDF

Teaching Robots to Predict Human Motion
Liang-Yan Gui, Kevin Zhang, Yu-Xiong Wang, Xiaodan Liang, José M. F. Moura Manuela Veloso
IROS, 2018 (Oral)
PDF

Geodesic distance on a Grassmannian for monitoring the progression of Alzheimer's Disease
Liang-Yan Gui, Xiaoying Tang, José M. F. Moura
NeuroImage, 2017
PDF

High-Assurance SPIRAL: End-to-End Guarantees for Robot and Car Control
Franz Franchetti, Tze Meng Low, Stefan Mitsch, Juan Paolo Mendoza, Liang-Yan Gui, Amarin Phaosawasdi, David Padua, Soummya Kar, José M. F. Moura, Mike Franusich, André Platzer, Jeremy Johnson, Manuela Veloso
IEEE Control Systems Magazine, 2016
PDF

Teaching
Fall 2022, Fall 2023, Fall 2024, Spring 2025, Fall 2025, Spring 2026 Machine Learning (CS 446/ECE 449);
Spring 2023, Efficient & Predictive Vision (CS 598);
Fall 2021, Machine Learning (CS 446/ECE 449)

Design and source code from Jon Barron's website