CV

Education

• B.S. in Computer Science, Zhejiang University, 2019
• M.S. in Computer Science, Zhejiang University, 2022
• Ph.D in Computer Science, Rutgers University, 2027 (expected)

Work experience

• Dec. 2020 - Dec. 2021: Research Intern
  • OPPO Research Institute, Shanghai, China
  • Duties included: Led two research projects on (i) improving self-supervised learning algorithm for lightweight backbone models, and (ii) developing a federated self-supervised learning framework for vision models.
  • Supervisor: Youcai Zhang, Yandong Guo
• Apr. 2019 - Aug. 2019: Research Intern
  • Intel Asia-Pacific Research & Development LTD.
  • Duties included: Conducted reinforcement learning research on the google football simulated environment, benchmarked multiple existing frameworks including DQN, PG, and IMPALA.
  • Supervisor: Shengsheng Huang, Jinquan Dai

Publications

Informative Visual Storytelling with Cross-modal Rules

Run Away From your Teacher: Understanding BYOL by a Novel Self-Supervised Approach

CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction

Revisiting Catastrophic Forgetting in Class Incremental Learning

Towards Communication-efficient and Privacy-preserving Federated Representation Learning

On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals

A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm

Continual Learning of Large Language Models: A Comprehensive Survey

BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models

Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal LLMs

Training-Free Bayesianization for Low-Rank Adapters of Large Language Models

The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models via Visual Information Steering

Talks

Talk 1 on Relevant Topic in Your Field

March 01, 2012

Talk at UC San Francisco, Department of Testing, San Francisco, California

Tutorial 1 on Relevant Topic in Your Field

March 01, 2013

Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA

Talk 2 on Relevant Topic in Your Field

February 01, 2014

Talk at London School of Testing, London, UK

Conference Proceeding talk 3 on Relevant Topic in Your Field

March 01, 2014

Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA

Teaching

Teaching experience 1

Teaching experience 2

Service and leadership

• Provided review services for multiple top-notched ML/AI conferences, including AAAI’24, AAAI’23, ICCV’23, ECCV’22, and ECAI’23.
• Life-long fellow at Melton Foundation.