Hao Fei

Research Fellow

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

Profile

I am a post-doctoral research fellow at National University of Singapore, working with Prof. Tat-Seng Chua at NExT++ research center, and Prof. Wynne Hsu and Prof. Mong Li Lee at Institute of Data Science. I am also an associate researcher at Kunlun 2050 Research, Skywork AI 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. I was an intern at Baidu Inc. when I was in my bachelor’s.

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, AAAI, IJCAI, EMNLP, NAACL, WSDM, COLING, ARR. I am a 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), SSNLP 2023 (Organizing Committee). Also I am the Associate Editor of some journals, including TALLIP and Neurocomputing.

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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.

News

  1 Feb 2024

We will give a tutorial at LREC-COLING 2024, on the hot topic of From Multimodal LLM to Human-level AI: Modality, Instruction, Reasoning, Efficiency and Beyond. Please stay tuned to the program and welcome on-site or online attendance.

  23 Jan 2024

Our paper MMLSCU: A Dataset for Multi-modal Multi-domain Live Streaming Comment Understanding is accepted by TheWebConf (WWW) 2024. Congrats to my co-authors!

  14 Dec 2023

Our paper In-Context Learning for Few-Shot Nested Named Entity Recognition is accepted by ICASSP 2024. Congrats to my co-authors!

  9 Dec 2023

Three papers are accepted by AAAI 2024, 1) Commonsense Reasoning with Graph-of-Thought, 2) DiaASQ, 3) Spectral GNN. Congrats to my co-authors!

  7 Dec 2023

Invited to give a talk at CIPS Youth Working Committee in A Star, Singapore, on the topic of From Multimodal LLM to AGI.

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