Hao Fei

Research Fellow

School of Computing, National University of Singapore
5 Prince George's Park, Singapore, 118404


I am currently a postdoc research fellow of National University of Singapore, working with Prof. Tat-Seng Chua at NExT++ research center and Prof. Wynne Hsu at Institute of Data Science. I am also an associate researcher at Kunlun 2050 Research Lab Singapore, working with Prof. Shuicheng Yan (previously an associate researcher at SEA AI lab). Prior to that, I received my Ph.D degree at Wuhan University, advised by Prof. Donghong Ji; and received B.E degree from Xidian University. I was an intern at Baidu Inc. when I was in my B.E stage.

Research Briefing

My research direction lies in the intersection of Natural Language Processing (NLP) and Computer Vision (CV), i.e., Vision-Language Learning, with broad-covering interests, such as Large Language Model, Information Extraction, Affective Computing, Syntax/Semantic Parsing, Text-Image/Video/Audio/3D Modeling. I am apt to construct learning models, with the fundamental goal of building systems capable of human-level understanding of the world. My ongoing research focuses on the particular angle of Structure-aware Intelligence Learning (SAIL), which aims at enhancing the semantics understanding of varied modalities with the intrinsic data structure modeling. The SAIL idea works effectively for the deep learning based AI, and also holds for the current large language models (LLMs), which will ultimately help achieve AGI of universal modalities (world modeling). See my research statement for more details. Also, I believe so much that the key to realizing human-level AGI lies in two fundamental aspects simultaneously, A. human-level complex reasoning ability and B. mastering of the world knowledge, with one not doing without the other.

My research has been published in top-tier ML/NLP/DM venues, including, ICML, NeurIPS, ACL, AAAI, WWW, SIGIR, IJCAI, EMNLP, COLING, TOIS, TNNLS, TASLP, etc. My Ph.D thesis was awarded the Excellent Doctoral Thesis of Chinese Information Processing Society (CIPS). I won more than ten honors and awards when I was in Ph.D stage. I’ve served as (Senior) Area Chair or Senior Program Committee of top-tier conferences, such as ACL, IJCAI, EMNLP, WSDM, ARR. Also, I am the persistently-invited reviewer for prestigious journals including TPAMI, TNNLS, TKDE, TOIS, TAFFC and TASLP, etc. I am (was) the organization committee of WSDM 2022 (Volunteer Chair), NSSDM 2023 (Program Chair), EMNLP 2023 (Workshop Chair).


I am constantly looking for collaborations, especially on the topics mentioned above. Remote manner is also supported. For promising students I will provide sufficient GPUs. Hit me up, if you are a Ph.D/master/bachelor student and interested in what I am doing now. When you are from Chinese universities, there are also vacancies for research interns (e.g., self-/CSC-funded joint PhD project). Please describe your research status and attach your resume.


  8 Oct 2023

One paper is accepted by EMNLP 2023, Molca about Molecular LLM, welcome try the online demo here. Congrats to my co-authors!

  5 Oct 2023

The 2023 Singapore Symposium on Natural Language Processing (SSNLP) will be held on Monday, December 4, at the Shaw Foundation Alumni House Auditorium, NUS. Please register!

  1 Oct 2023

I am excited to announce joining Kunlun 2050 Research Lab as an associate research member.

  30 Sep 2023

Two papers are accepted by NeurIPS 2023, 1) VPGTrans, 2) Abstract-to-Intricate Text-to-Image Synthesis, Congrats to my co-authors!

  24 Sep 2023

Invited to give a talk at MLNLP 2023, on the topic of Scene Graph-driven Structured Vision-Language Learning.

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