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
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, 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