Lijun Zhang

I am a Postdoc Scientist in Amazon Robotics, working on perception problems for real-world systems. I received my Ph.D. in 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 Diffusion Models.

News

• [June. 2025]: Our work “Reimagining Parameter Space Exploration with Diffusion Models” has been accepted to ICML’25 EXAIT.
• [April. 2025]: I have successfully defended my PhD Thesis on “Advanced Resource-Efficient Multi-Task Learning”.
• [Sept. 2024]: Our work “Attack-Resilient Image Watermarking Using Stable Diffusion” has been accepted to NeurIPS’24.
• [Sept. 2024]: Our work “Thinking Forward: Memory-Efficient Federated Finetuning of Language Models” has been accepted to NeurIPS’24.
• [May. 2024]: Start an internship at Advanced Technology Group (ATG) in Dolby Laboratories.
• [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

• [2024] UMass CICS PhD Dissertation Writing Fellowship
• [2023] IBM Ph.D. Fellowship
• [2022] Scholar Award & Top Reviewer, NeurIPS
• [2022] Travel Grant Award, Conf-AutoML
• [2020] The Lori a. Clarke Scholarship, UMass

Services

• Reviewer:
  • NeurIPS 2022-2025, ICML 2023-2025, ICLR 2023-2025
  • CVPR 2024-2025, ICCV 2025
  • IEEE TIP, TMLR