Zifeng Wang

I am a Research Scientist at Google Cloud AI Research, focusing on large language models (LLMs) and their applications. My research interests span model adaptation, multi-LLM collaboration, and multi-agent systems. I received my PhD in Machine Learning from Northeastern University's SPIRAL Group, advised by Prof. Jennifer G. Dy, with close collaboration with Prof. Stratis Ioannidis and Prof. Yanzhi Wang. Prior to my PhD, I earned my BS in Electronic Engineering from Tsinghua University, where I worked on computer vision with Prof. Jiwen Lu (Tsinghua) and Prof. Jia Deng (Princeton), and big data with Prof. Yong Li (Tsinghua).

I am looking for self-motivated student researchers / research interns with interests and expertise in LLMs! Feel free to contact me if you would like to work on cutting-edge challenges in machine learning and LLMs.

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• Large Language Models
• Model alignment and adaptation
• Synthetic data for post-training and evaluation
• LLM agents and multi-agent systems
• Cost-effective LLM inference (e.g., Routing, Distillation)
• Continual (Lifelong) Learning
• Open Set Recognition / Novel Class Discovery
• Adversarial Robustness and Model Compression

• 
  Aug 2023 - Present, Google,
  Research Scientist at Cloud AI Research
• 
  Sep 2018 - July 2023, Northeastern University,
  Research Assistant at SPIRAL Group
• 
  June 2021 - Jan 2023, Google,
  Student Researcher / Research Intern at Cloud AI Research
• 
  Feb 2017 - July 2018, Tsinghua University,
  Research Assistant at i-Vision Group
• 
  July 2017 - Sep 2017, University of Michigan,
  Visiting Researcher at Vision & Learning Lab

• Sparse Continual Learning on the Edge
  - ContinualAI, 2023, Remote
  - AI Time, 2023, Remote (Chinese version)
• Prompting-based Continual Learning
  - AI Talks SG, 2022, Remote
  - ContinualAI, 2022, Remote [recording]
• Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness
  - INFORMS Annual Meeting, 2022, Indianapolis, Indiana [abstract]
  - AI Time, 2022, Remote (Chinese version) [recording][blog]

• Outstanding Student Award in Research, Northeastern University, 2023
  
• Scholar Award, NeurIPS 2022
  
• Best Paper Candidate, ICDM 2020
  
• Best Paper Award, DySPAN 2019
  
• Travel Award, DySPAN 2019
  
• Travel Award, NeurIPS 2019
  
• Dean's Fellowship, Northeastern University, 2018
     Highest honor awarded to new PhD students for outstanding academic background.
• Evergrande Scholarship, Tsinghua University, 2016
     Awarded to students with excellent academic performance, scientific potential and overall development.

Area Chair: ACL ARR
Conference Reviewer: NeurIPS, ICML, ICLR, CVPR, ICCV
PC Member: SDM
Journal Reviewer: TPAMI, TMLR, Neural Networks