Lijun Zhang

I am a fifth-year Ph.D. student in the College of Information and Computer Sciences at the University of Massachusetts Amherst, advised by Prof. Hui Guan. Before coming to UMass, I got my Master’s and Bachelor’s degrees in the School of Software Engineering, Tongji University, advised by Prof. Lin Zhang. My research interests are Automated Machine Learning and Computer Vision and mainly focus on Multi-Task Learning and Diffsuion Models.

I will start my internship at Advanced Technology Group (ATG) in Dolby Laboratories this summer. Previsouly, I was an Applied Scientist Intern at Amazon Robotics to work on multi-task model infrastructure construction.

I’m actively looking for post-doc opportunity starting from 2025 Fall. Contact me if you are interested to learn more about me. Thank you!

News

• [Feb. 2024]: Our work “GMorph: Accelerating Multi-DNN Inference via Model Fusion” has been accepted to EuroSys’24.
• [Sept. 2023]: Our work “Flow: Per-instance Personalized Federated Learning” has been accepted to NeurIPS’23.
• [Sept. 2023]: Receive the 2023 IBM PhD Fellowship Award.
• [May. 2023]: Start an internship in Amazon Robotics.
• [Sept. 2022]: Our paper “AutoMTL: A Programming Framework for Automating Efficient Multi-Task Learning” has been accepted to NeurIPS’22.
• [May. 2022]: Our paper “A Tree-Structured Multi-Task Model Recommender” has been accepted to AutoML’22.
• [Mar. 2022]: Our paper “Rethinking Hard-Parameter Sharing in Multi-Domain Learning” has been accepted to ICME’22.
• [May 2021]: Our paper “Reuse-Centric Kmeans Configuration” has been accepted to Information Systems.

Awards

• [2023] IBM Ph.D. Fellowhsip
• [2022] Scholar Award & Top Reviewer, NeurIPS
• [2022] Travel Grant Award, Conf-AutoML
• [2020] The Lori a. Clarke Scholarship, UMass

Services

• Reviewer:
  • ICML 2023-2024
  • ICLR 2023-2024
  • CVPR 2024
  • NeurIPS 2022-2023
  • IEEE Transactions on Image Processing
• Program Committee:
  • AIGC 2023