Group Members

Sijia Liu

Assistant Professor @Michigan State University, Affiliated Professor@IBM Research, MIT-IBM Watson AI Lab affiliated PI.
email: liusiji5@msu.edu

• Ph.D., Electrical and Computer Engineering, Syracuse University, United States
• M.S., Electrical Engineering, Xi’an Jiaotong University, China
• B.S., Electrical Engineering, Xi’an Jiaotong University, China

Yuguang (Tony) Yao

Graduate student, Computer Science, Michigan State University (Spring 2021 - current)
email: yaoyugua@msu.edu

• B.Eng., Automation, Tsinghua University, China

Yimeng (Damon) Zhang

Graduate student, Computer Science, Michigan State University (Spring 2021 - current)
email: zhan1853@msu.edu

• M.S., Electrical Engineering, Columbia University, United States
• B.Eng., Electrical and Electronic Engineering, University of Sheffield, United Kingdom

Jinghan Jia

Graduate student, Computer Science, Michigan State University (Fall 2021 - current)
email: jiajingh@msu.edu

• M.S., Electrical and Computer Engineering, University of Florida, United States
• B.Eng., Computer Science, University of Science and Technology of China, China

Yihua Zhang

Graduate student, Computer Science, Michigan State University (Spring 2022 - current)
email: zhan1908@msu.edu

• B.Eng., Mechanical Engineering, Huazhong University of Science and Technology, China

Jiancheng Liu

Graduate Student, Computer Science, Michigan State University (Spring 2023 - current)
email: liujia45@msu.edu

• B.Eng., Institute for Interdisciplinary Information Sciences, Tsinghua University, China

Chongyu Fan

Graduate Student, Computer Science, Michigan State University (Fall 2024 - current)
email: fanchon2@msu.edu

• B.Eng., Mechanical Engineering, Huazhong University of Science and Technology, China

Changsheng Wang

Graduate Student, Computer Science, Michigan State University (Fall 2024 - current)
email: wangc168@msu.edu

• B.Eng., Data Science, University of Science and Technology of China, China

Yiwei Chen

Graduate Student, Computer Science, Michigan State University (Fall 2024 - current)
email: chenyiw9@msu.edu

• M.S., Computer Science, Xi'an Jiaotong University, China
• B.Eng., Automation, Young Gifted Class, Xi'an Jiaotong University, China

Soumyadeep Pal

Graduate Student, Computer Science, Michigan State University (Fall 2024 - current)
email: palsoum1@msu.edu

• M.S.(Thesis), Computer Science, University of Alberta, Canada
• B.Eng., Electrical Engineering, Jadavpur University, India

Changchang Sun (Visiting)

Ph.D. student, Department of Computer Science, University of Illinois Chicago (Aug. 2023 - Present)
email: sunchan5@msu.edu

Hyoseo Kim (Visiting)

Ph.D. student, Department of Computer Science and Engineering, Sogang University, South Korea (Oct. 2024 - Present)
email: kimhyose@msu.edu

Yangru Zhou

Role: M.S., Computer Science, Michigan State University (Spring 2022 - Spring 2024)

Zhuoshi Pan (remote)

Graduate student, Tsinghua University, China

• Visiting Time: May. 2023 - Present
• Research Project: From Trojan Horses to Castle Walls: Unveiling Bilateral Backdoor Effects in Diffusion Models [Paper at Backdoors in Deep Learning@NeurIPS’23]

Chongyu Fan

Undergraduate, Huazhong University of Science and Technology, China

• Visiting Time: May. 2023 - Feb. 2024
• Research Project: SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation [Spotlight paper at ICLR’24]

Aochuan Chen

Undergraduate, Tsinghua University, China

• Visiting Time: Aug. 2022 - Sept. 2023
• Research Project: Understanding and improving visual prompting: A label-mapping perspective [Paper at CVPR’23]

Haomin Zhuang (remote)

Undergraduate, South China University of Technology, China

• Visiting Time: Oct. 2022 - Mar. 2023
• Research Project: A Pilot Study of Query-Free Adversarial Attack against Stable Diffusion [Paper at The 3rd Workshop of Adversarial Machine Learning on Computer Vision@CVPR’23]

Soumyadeep Pal

Graduate student, University of Alberta, Canada

• Visiting Time: May 2022 - Sept. 2022
• Research Project: Towards Understanding How Self Training Tolerates Data Backdoor Poisoning [Best Paper Award Finalist, SafeAI Workshop@AAAI’23]

Peter Lorenz (remote)

Graduate student, Fraunhofer Center of Machine Learning, Germany

• Visiting Time: May 2022 - Sept. 2022
• Research Project: Visual Prompting for Adversarial Robustness [Paper at ICASSP’23]

Hui Li (remote)

Undergraduate, Huazhong University of Science and Technology, China

• Visiting Time: May 2022 - Sept. 2022
• Research Project: SMUG: Towards robust MRI reconstruction by smoothed unrolling [Paper at ICASSP’23]

Chen Fan (remote)

Graduate student, University of British Columbia, Canada

• Visiting Time: May 2021 - Sept. 2021
• Research Project: Sign-MAML: Efficient Model-Agnostic Meta-Learning by SignSGD [Paper at MetaLearn@NeurIPS’21]

Vardaan Taneja (remote)

Undergraduate, Indian Institute of Technology, Delhi, India

• Visiting Time: May 2021 - Sept. 2021
• Research Project: When Does Backdoor Attack Succeed in Image Reconstruction? A Study of Heuristics vs. Bi-Level Solution [Paper at ICASSP’22]

Jonathan Doredla

Novi High School, MI, USA

• Visiting Time: May 2022 - Sept. 2022
• Current: University of Michigan

Shreyas Shrivastava

Novi High School, MI, USA

• Visiting Time: May 2022 - Sept. 2022
• Current: MIT

Brian Zhang

Northville High School

• Visiting Time: May 2023 - Sept. 2023
• Research Project: Elevating Visual Prompting In Transfer Learning Via Pruned Model Ensembles: No Retrain, No Pain [Paper at ICASSP'24]