Hansi Zeng 曾翰偲 PhD student Manning College of Information & Computer Sciences University of Massachusetts Amherst Massachusetts, Amherst Email: hzeng@umass.edu

About [CV]

I am currently a fourth-year PhD student in Manning College of Information & Computer Sciences, University of Massachusetts Amherst, asvised by Prof. Hamed Zamani . My research interests are primarily focus on IR and LLMs, especially on Dense Retrieval and Generative Retrieval.
Before PhD, I got my CS master degree from University of Utah, advised by Qingyao Ai. And I got my Math bachelor and master degrees from Nankai Univeristy and University of Wisconsin Madison respectively.

Experiences

Publications

Preprint

• Inference Scaling for Long-Context Retrieval Augmented Generation
  Zhenrui Yue, Honglei Zhuang, Aijun Bai, Kai Hui, Rolf Jagerman, Hansi Zeng, Zhen Qin, Dong Wang, Xuanhui Wang, Michael Bendersky.
  
  

Conference

• Language Models as Semantic Indexers
  Bowen Jin, Hansi Zeng, Guoyin Wang, Xiusi Chen, Tianxin Wei, Ruirui Li et al.
  ICML 2024.
  [PDF] [Code]
• Planning Ahead in Generative Retrieval: Guiding Autoregressive Generation through Simultaneous Decoding
  Hansi Zeng , Chen Luo, Hamed Zamani
  SIGIR 2024.
  [PDF] [Code]
• Scalable and Effective Generative Information Retrieval
  Hansi Zeng , Chen Luo, Bowen Jin, Sheikh Muhammad Sarwar, Tianxin Wei, Hamed Zamani
  WWW 2024.
  [PDF] [Code]
• Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond
  Tianxin Wei, Bowen Jin, Ruirui Li, Hansi Zeng, Zhengyang Wang, Jianhui Sun, Qingyu Yin, Hanqing Lu, Suhang Wang, Jingrui He, Xianfeng Tang
  ICLR 2024
  [PDF] [Code]
• Soft Prompt Decoding for Multilingual Dense Retrieval
  Zhiqi Huang, Hansi Zeng, Hamed Zamani, and James Allan
  SIGIR 2023
  [PDF]
• A Personalized Dense Retrieval Framework for Unified Information Access
  Hansi Zeng, Surya Kallumadi, Zaid Alibadi, Rodrigo Nogueira, and Hamed Zamani
  SIGIR 2023.
  [PDF] [Code]
• Curriculum Learning for Dense Retrieval Distillation
  Hansi Zeng, Vishwa Vinay, Hamed Zamani
  SIGIR 2022. Best Short Paper Award.
  [PDF] [code] [Poster]
• Understanding the Effectiveness of Reviews in E-commerce
  Zhichao Xu, Hansi Zeng, Qingyao Ai
  ICTIR 2021
  [PDF]
• A Zero Attentative Relevance Matching Network for Review Modeling in Recommnder System
  Hansi Zeng, Zhichao Xu, Qingyao Ai
  ECIR 2021
  [PDF]

Selected Projects

• Neural network models for E-commerce product search. github repo
• Pytorch implementations of text semantic matching models. github repo
• Pytorch implementations of review-based recommendation models. github repo
• Comparative Study of Reinforcement Learning-based and Traditional Motion Planning Algorithms presentation