Yan Yan

Gladwin Development Chair Assistant Professor

Department of Computer Science

Illinois Institute of Technology

office: Stuart Building Room 237C

email: yyan34 [AT] iit.edu

News:

[Top] In Spring 2023 and Fall 2023, I have multiple openings for postdocs and Ph.D students in the fileds of computer vision, biomedical image analysis, multimedia and machine learning. Feel free to contact me with your CV.

[07/2022] Our CVM-LAB has 4 ECCV, 2 ACM Multimedia, 1 IJCAI, 1 CVPR and several IEEE/ACM Transactions papers accepted in 2022 so far.

Bio

Dr. Yan Yan is currently a Gladwin Development Chair Assistant Professor in the Department of Computer Science at Illinois Institute of Technology. He was an assistant professor at the Texas State University, a research fellow at the University of Michigan and the University of Trento. He received his Ph.D. in Computer Science at the University of Trento and M.S. at the Georgia Institute of Technology and Shanghai Jiao Tong University. He was a visiting scholar at the Carnegie Mellon University and the Advanced Digital Sciences Center (ADSC), UIUC, Singapore. He has published 100+ research papers in the fields of computer vision, machine learning and multimedia. He received IBM Best Student Paper Award in ICPR 2014 and Best Paper Award in ACM Multimedia 2015. He has been served as PC members for several major conferences and reviewers for referred journals in computer vision and multimedia. He also served as an associate editor in Neurocomputing and guest editors in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Computer Vision and Image Understanding (CVIU) and ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM). In recent years, Dr. Yan's research has been funded by NIH, NSF, NIST, Cisco, Snap, AMD, Nvidia, etc. Know more information please check the CVM-LAB.

Publications

Most recent publications on Google Scholar.

Lipschitz Continuity Retained Binary Neural Network

Yuzhang Shang, Dan Xu, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan

European Conference on Computer Vision (ECCV), 2022

Learning Omnidirectional Flow in 360-degree Video via Siamese Representation

Keshav Bhandari, Bin Duan, Gaowen Liu, Hugo Latapie, Ziliang Zong, Yan Yan

European Conference on Computer Vision (ECCV), 2022

Network Binarization via Contrastive Learning

Yuzhang Shang, Dan Xu, Ziliang Zong, Liqiang Nie, Yan Yan

European Conference on Computer Vision (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

European Conference on Computer Vision (ECCV), 2022

Lipschitz Continuity Guided Knowledge Distillation

Yuzhang Shang, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan

IEEE International Conference on Computer Vision (ICCV), 2021

Describing Unseen Videos via Multi-Modal Cooperative Dialog Agents

Ye Zhu, Yu Wu, Yi Yang, Yan Yan

European Conference on Computer Vision (ECCV), 2020

Projects

Neural Tracing/Segmentation in Densely Labeled Multispectral Images
Neural Network Pruning
Multi-Modal Cooperative Dialog Agents
Multi-camera Human Pose/Action/Activity Recognition and Estimation
First-person Vision Analysis
Complex Video Analysis
Neural Tracing/Segmentation in Densely Labeled Multispectral Images
Neural Network Pruning
Multi-Modal Cooperative Dialog Agents
Multi-camera Human Pose/Action/Activity Recognition and Estimation
First-person Vision Analysis
Complex Video Analysis

Teaching

CS 584: Machine Learning, Fall 2022
CS 595: Advanced Topics on Computer Vision and Multimedia, Spring 2022
CS 584: Machine Learning, Fall 2021
CS 584: Machine Learning, Spring 2021

Members

Computer Vision and Multimedia Lab on CVM-LAB

Current PhD students:
Bin Duan (Fall 2019-current, B.S.: Lanzhou University)
Ye Zhu (Fall 2019-current, B.S./M.S.: Shanghai Jiao Tong University)
Yuzhang Shang (Fall 2021-current, B.S.: Wuhan University)
Bin Xie (Fall 2021-current, M.S.: IIT)
Changchang Sun (Fall 2021-current, B.S./M.S.: Shandong University)
Zhenghao Zhao (Fall 2022-current, M.S.: IIT)
Weitai Kang (Fall 2022-current, B.S.: Sun Yat-sen University)
Jianyuan Ni (txstate, Fall 2020-current)
Mark Leischner (Part-time, Fall 2021-current, working at Google)

Alumni:
Gaowen Liu (Postdoc 2018-2020, First Employment: Research Scientist at Cisco Research)
Keshav Bhandari (PhD 2018-2022, First Employment: Senior Scientist at Tesla)

Hao Tang (Visiting PhD 2018-2019 from University of Trento, Next: Postdoc at ETH Zürich)
Yutian Lin (Visiting PhD 2018-2019 from University of Technology Sydney, Next: Associate Professor at Wuhan University)
Xianjin Han (Visiting PhD 2019-2020 from Shandong University, Next: Postdoc at National University of Singapore)
Na Zheng (Visiting PhD 2019-2020 from Shandong University, Next: Postdoc at National University of Singapore)
Aihua Zheng (Visiting Professor 2019-2020 from Anhui University)
Songsong Wu (Visiting Professor 2018-2019 from Nanjing University of Posts and Telecommunications)

Jorge Cervera Perez (Master 2021, First Employment: Senior Software Engineer at Qualcomm)
Ali Issaoui (Master 2021, First Employment: Software Engineer at Amazon Web Services)
Mario A. DeLaGarza (Undergraduate 2019, First Employment: Software Engineer at Google)
Theo William Guidroz (Undergraduate 2021-2022, First Employment: Software Engineer at Google)
Joy Wan (UIUC REU 2022, Next: UIUC)
William Zhu (UChicago High School Student 2022, Next: Yale University)

Misc

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