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About

Biography

Dr. Yan Yan is a tenured Associate Professor in the Department of Computer Science at the University of Illinois Chicago. He received his Ph.D. in Computer Science from the University of Trento and has published 200+ research papers across computer vision, multimedia, and machine learning. He received the IBM Best Student Paper at ICPR 2014, the Best Paper Award at ACM Multimedia 2015, and was a Best Paper Finalist at ACM Multimedia 2018. He has served as General Chair for ACM ICMR 2025 and as Area Chair for CVPR, ICCV, ECCV, BMVC, ACM Multimedia, ICLR, NeurIPS, and AAAI. He is an Associate Editor for Neurocomputing, CVIU, MVA, and IVC, and a Guest Editor for IEEE TPAMI, CVIU, and ACM TOMM.

Research

Selected Publications

Full list on Google Scholar →
ECCV 2026
RayMap3R: Inference-Time RayMap for Dynamic 3D Reconstruction
Feiran Wang, Zezhou Shang, Gaowen Liu, Yan Yan
Paper
ECCV 2026
VLA Knows Its Limits
Haoxuan Wang, Gengyu Zhang, Yan Yan, Ramana Rao Kompella, Gaowen Liu
Paper
ICML 2026
ReflFlow: Learning Geometry-Guided Ray Tracing for Dynamic Specular Reconstruction
Jiachen Tao, Junyi Wu, Haoxuan Wang, Zongxin Yang, Dawen Cai, Yan Yan
Paper
ICML 2026
MVI-Bench: A Comprehensive Benchmark for Evaluating Robustness to Misleading Visual Inputs in LVLMs
Huiyi Chen, Jiawei Peng, Dehai Min, Changchang Sun, Kaijie Chen, Yan Yan, Xu Yang, Lu Cheng
Paper
CVPR 2026
Consistent Instance Field for Dynamic Scene Understanding
Junyi Wu, Van Nguyen Nguyen, Benjamin Planche, Jiachen Tao, Changchang Sun, Zhongpai Gao, Zhenghao Zhao, Anwesa Choudhuri, Gengyu Zhang, Meng Zheng, Feiran Wang, Terrence Chen, Yan Yan, Ziyan Wu
Paper
CVPR 2026
VGent: Visual Grounding via Modular Design for Disentangling Reasoning and Prediction
Weitai Kang, Jason Kuen, Mengwei Ren, Zijun Wei, Yan Yan, Kangning Liu
Paper
ICLR 2026
Real-Time Robot Execution with Masked Action Chunking
Haoxuan Wang, Gengyu Zhang, Yan Yan, Yuzhang Shang, Ramana Rao Kompella, Gaowen Liu
Paper
ICLR 2026
GuirlVG: Incentivize GUI Visual Grounding via Empirical Exploration on Reinforcement Learning
Weitai Kang, Bin Lei, Gaowen Liu, Caiwen Ding, Yan Yan
Paper
ICLR 2026
CogniMap3D: Cognitive 3D Mapping and Rapid Retrieval
Feiran Wang, Junyi Wu, Dawen Cai, Yuan Hong, Yan Yan
Paper
NeurIPS 2025
X-Field: A Physically Informed Representation for 3D X-ray Reconstruction
Feiran Wang, Jiachen Tao, Junyi Wu, Haoxuan Wang, Bin Duan, Kai Wang, Zongxin Yang, Yan Yan
Paper
NeurIPS 2025
Orientation-anchored Hyper-Gaussian for 4D Reconstruction from Casual Videos
Junyi Wu, Jiachen Tao, Haoxuan Wang, Gaowen Liu, Ramana Kompella, Yan Yan
Paper
NeurIPS 2025
Efficient Multimodal Dataset Distillation via Generative Models
Zhenghao Zhao, Haoxuan Wang, Junyi Wu, Yuzhang Shang, Gaowen Liu, Yan Yan
Paper
NeurIPS 2025
InfantAgent-Next: A Multimodal Generalist Agent for Automated Computer Interaction
Bin Lei, Weitai Kang, Zijian Zhang, Winson Chen, Xi Xie, Shan Zuo, Mimi Xie, Ali Payani, Mingyi Hong, Yan Yan, Caiwen Ding
Paper
ICCV 2025
Robin3D: Improving 3D Large Language Model via Robust Instruction Tuning
Weitai Kang, Haifeng Huang, Yuzhang Shang, Mubarak Shah, Yan Yan
Paper
ICCV 2025
CaO2: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation
Haoxuan Wang, Zhenghao Zhao, Junyi Wu, Yuzhang Shang, Gaowen Liu, Yan Yan
Paper
ICCV 2025
QuEST: Low-Bit Diffusion Model Quantization via Efficient Selective Finetuning
Haoxuan Wang, Yuzhang Shang, Zhihang Yuan, Junyi Wu, Junchi Yan, Yan Yan
Paper
ICCV 2025
LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models
Yuzhang Shang, Mu Cai, Bingxin Xu, Yong Jae Lee, Yan Yan
Paper
ICCV 2025
MaskSAM: Auto-Prompt SAM with Mask Classification for Volumetric Medical Image Segmentation
Bin Xie, Hao Tang, Bin Duan, Dawen Cai, Yan Yan, Gady Agam
Paper
ICLR 2025
Intent3D: 3D Object Detection in RGB-D Scans Based on Human Intention
Weitai Kang, Mengxue Qu, Jyoti Kini, Yunchao Wei, Mubarak Shah, Yan Yan
Paper
CVPR 2025
Enhancing Dance-to-Music Generation via Negative Conditioning Latent Diffusion Model
Changchang Sun, Gaowen Liu, Charles Fleming, Yan Yan
Paper
CVPR 2025
Distilling Long-tailed Datasets
Zhenghao Zhao, Haoxuan Wang, Yuzhang Shang, Kai Wang, Yan Yan
Paper
CVPR 2024
Versatile Navigation under Partial Observability via Value-Guided Diffusion Policy
Gengyu Zhang, Hao Tang, Yan Yan
Paper
CVPR 2024
Enhancing Post-training Quantization Calibration through Contrastive Learning
Yuzhang Shang, Gaowen Liu, Ramana Rao Kompella, Yan Yan
Paper
CVPR 2024
On the Faithfulness of Vision Transformer Explanations
Junyi Wu, Weitai Kang, Hao Tang, Yuan Hong, Yan Yan
Paper
CVPR 2024
Token Transformation Matters: Towards Faithful Post-hoc Explanation for Vision Transformer
Junyi Wu, Bin Duan, Weitai Kang, Hao Tang, Yan Yan
Paper
CVPR 2024
Efficient Multitask Dense Predictor via Binarization
Yuzhang Shang, Dan Xu, Gaowen Liu, Ramana Rao Kompella, Yan Yan
Paper
ECCV 2024
SegVG: Transferring Object Bounding Box to Segmentation for Visual Grounding
Weitai Kang, Gaowen Liu, Mubarak Shah, Yan Yan
Paper
ECCV 2024
Dataset Quantization with Active Learning based Adaptive Sampling
Zhenghao Zhao, Yuzhang Shang, Junyi Wu, Yan Yan
Paper
NeurIPS 2024
PTQ4DiT: Post-training Quantization for Diffusion Transformers
Junyi Wu, Haoxuan Wang, Yuzhang Shang, Mubarak Shah, Yan Yan
Paper
NeurIPS 2023
MIM4DD: Mutual Information Maximization for Dataset Distillation
Yuzhang Shang, Zhihang Yuan, Yan Yan
Paper
NeurIPS 2023
Boundary Guided Mixing Trajectory for Semantic Control with Diffusion Models
Ye Zhu, Yu Wu, Zhiwei Deng, Olga Russakovsky, Yan Yan
PaperCode
ICCV 2023
Towards Saner Deep Image Registration
Bin Duan, Ming Zhong, Yan Yan
PaperCode
ICCV 2023
Causal-DFQ: Causality Guided Data-free Network Quantization
Yuzhang Shang, Bingxin Xu, Gaowen Liu, Ramana Kompella, Yan Yan
Paper
CVPR 2023
Post-training Quantization on Diffusion Models
Yuzhang Shang, Zhihang Yuan, Bin Xie, Bingzhe Wu, Yan Yan
PaperCode
ICLR 2023
Discrete Contrastive Diffusion for Cross-Modal Music and Image Generation
Ye Zhu, Yu Wu, Kyle Olszewski, Jian Ren, Sergey Tulyakov, Yan Yan
PaperCode
ECCV 2022
Lipschitz Continuity Retained Binary Neural Network
Yuzhang Shang, Dan Xu, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan
PaperCode
ECCV 2022
Learning Omnidirectional Flow in 360° Video via Siamese Representation
Keshav Bhandari, Bin Duan, Gaowen Liu, Hugo Latapie, Ziliang Zong, Yan Yan
PaperCode
ECCV 2022
Network Binarization via Contrastive Learning
Yuzhang Shang, Dan Xu, Ziliang Zong, Liqiang Nie, Yan Yan
PaperCode
ECCV 2022
Quantized GAN for Complex Music Generation from Dance Videos
Ye Zhu, Kyle Olszewski, Yu Wu, Panos Achlioptas, Menglei Chai, Yan Yan, Sergey Tulyakov
PaperCode
ICCV 2021
Lipschitz Continuity Guided Knowledge Distillation
Yuzhang Shang, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan
PaperCode
ECCV 2020
Describing Unseen Videos via Multi-Modal Cooperative Dialog Agents
Ye Zhu, Yu Wu, Yi Yang, Yan Yan
PaperCode
Courses

Teaching

UIC CS 412 Introduction to Machine Learning Fall 2026
UIC CS 514 Applied Artificial Intelligence Spring 2026
UIC CS 512 Advanced Machine Learning Fall 2025
UIC CS 594 Energy Efficient Deep Learning Spring 2025
IIT CS 577 Deep Learning Fall 2023
IIT CS 584 Machine Learning Spr'24, Spr'23, Fall'22, Fall'21, Spr'21
IIT CS 595 Advanced Topics: Computer Vision & Multimedia Spring 2022
Lab

CVM Lab Members

Current PhD Students
Changchang Sun Fall 2021 – present · B.S./M.S., Shandong University
Zhenghao Zhao Fall 2022 – present · M.S., IIT
Weitai Kang Fall 2022 – present · B.S., Sun Yat-sen University
Junyi Wu Spring 2023 – present · B.S., Sun Yat-sen University
Gengyu Zhang Spring 2023 – present · M.S., University of Georgia
Haoxuan Wang Fall 2023 – present · B.S./M.S., Shanghai Jiao Tong University
Feiran Wang Spring 2024 – present · M.S., UIUC
Jiachen Tao Fall 2024 – present · B.S., Zhejiang University
Wenxin Rong Fall 2026 – present · B.S., University of Science and Technology of China (USTC)
Zhenyuan Ma Fall 2026 – present · B.S., University of Science and Technology of China (USTC)
PhD & Postdoc Alumni
Yuzhang Shang PhD 2021–2025 Asst. Prof., Univ. of Central Florida
Bin Duan PhD 2019–2024 Postdoc, Univ. of Michigan
Ye Zhu PhD 2019–2023 Postdoc, Princeton University
Keshav Bhandari PhD 2018–2022 Sr. Software Engineer, Tesla
Gaowen Liu Postdoc 2018–2020 Research Scientist, Cisco Research
Visiting Scholars
Hao Tang Visiting PhD 2018–2019, Univ. of Trento Postdoc, ETH Zürich
Yutian Lin Visiting PhD 2018–2019, Univ. of Technology Sydney Assoc. Prof., Wuhan University
Xianjin Han Visiting PhD 2019–2020, Shandong University Postdoc, NUS
Na Zheng Visiting PhD 2019–2020, Shandong University Postdoc, NUS
Aihua Zheng Visiting Professor 2019–2020, Anhui University
Songsong Wu Visiting Professor 2018–2019, Nanjing Univ. of Posts & Telecomm.
Masters with Thesis
Nikhil Sharma M.S. IIT, Fall 2023–Spring 2025
Castaneda Lopez Luis Master 2022 Software Engineer, NextShift
Chaguer Reda Master 2022 Software Engineer, Meta
Elomari Alaoui Ismail Master 2022 Software Dev Engineer, Amazon
Jorge Cervera Perez Master 2021 Sr. Software Engineer, Qualcomm
De Miguel Juan Carlos Master 2021 Data Scientist, Caterpillar Inc
Ali Issaoui Master 2021 Software Engineer, AWS
Undergraduates & High School Students
Kavya Uppal IMSA High School Student 2023
Chengyuan Xue U of Toronto REU 2023 University of Toronto
William Zhu UChicago High School Student 2022 Yale University
Theo William Guidroz Undergraduate 2021–2022 Software Engineer, Google
Mario A. DeLaGarza Undergraduate 2019 Software Engineer, Google