Biography

Hao Zhang (张豪) is a Principal Engineer at Noah’s Ark Lab, Singapore Research Center, Huawei International, working in large language models and its application to RAG. He obtained his Ph.D. from the Nanyang Technological University, Singapore in Jul 2022, advised by Prof. Aixin SUN. Before, he received Master’s degree from the School of Electrical and Electronic Engineering at Nanyang Technological University in June 2016. He obtained his Bachelor’s degree from Dalian University of Technology (2011 - 2015).

His broad research interests include natural language processing, vision-language learning, and machine learning. To be specific, his research topics include Retrieval-augmented Large Language Models, LLM for Recommendation, LLM-based Retrieval, and etc.

Research Community Services:
Reviewer: ACL Rolling Review (2023-), WWW 2024, KDD 2024, ACL 2019-2023, IJCAI 2023-2024, EMNLP 2023, MM 2023, COLING 2022-2023, SIGIR 2021-2022, AAAI 2021
Co-organizer: Interactive Recommendation System Workshop, WSDM 2023

Interests
  • Natural Language Processing
  • Large Language Models
  • Large Multimodal Models
  • LLMs for Recommendation & RAG
  • Vision-Language Learning
Education
  • PhD in Computer Science, 2019-2022

    Nanyang Technological University, Singapore

  • MSc in Communications Engineering, 2015-2016

    Nanyang Technological University, Singapore

  • BEng in Communications Engineering, 2011-2015

    Dalian University of Technology, China

Experience

 
 
 
 
 
 
 
 
 
 
Senior Research Engineer
June 2018 – May 2022 Singapore

Senior Research Engineer/Principal Investigator, Centre for Frontier AI Research, Jan 2022 - May 2022

Research Engineer, Institute of High Performance Computing, Jun 2018 - Dec 2021

 
 
 
 
 
Research Associate
July 2016 – May 2018 Singapore

Publications

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(2024). Multi-view Content-aware Indexing for Long Document Retrieval. In ArXiv.

PDF Cite 📌ArXiv'24

(2024). Relational Network via Cascade CRF for Video Language Grounding. In TMM.

Preprint PDF Cite Code DOI 📌TMM'24

(2023). Relational Network via Cascade CRF for Video Language Grounding. In TMM.

PDF Cite DOI 📌TMM'23

(2023). Temporal Sentence Grounding in Videos: A Survey and Future Directions. In TPAMI.

Preprint PDF Cite DOI 📌TPAMI'23