Yongqi Li is a Research Assistant Professor in the Department of Computing at The Hong Kong Polytechnic University. He received the PhD degree in the Department of Computing from The Hong Kong Polytechnic University and the Bachelor degree in School of Computer Science and Technology from Shandong University. His research interests include natural language processing, information retrieval, and multimedia computing.

Now he mainly focuses on the following research topics:
-NLP (LLM: tool learning, acceleration, alignment)
-IR (Generative retrieval and recommendation)
-Multimedia (MLLM and multimodal information retrieval)

Our team is looking for highly motivated PhD/master/undergraduate students to collaborate on various interesting research topics, including but not limited to the above ones. If you are interested, please feel free to send your CV to my email.

Publications

pdf	Enhancing Tool Retrieval with Iterative Feedback from Large Language Models Qiancheng Xu, Yongqi Li, Heming Xia, Wenjie Li EMNLP 2024 Findings (Full)

pdf	Learnable Item Tokenization for Generative Recommendation Wenjie Wang, Honghui Bao, Xinyu Lin, Jizhi Zhang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua CIKM 2024 (Full)

pdf	Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation Xinyu Lin, Wenjie Wang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua KDD 2024 (Full)

pdf	Generative Cross-Modal Retrieval: Memorizing Images in Multimodal Language Models for Retrieval and Beyond Yongqi Li, Wenjie Wang, Leigang Qu, Liqiang Nie, Wenjie Li, Tat-Seng Chua ACL 2024 (Full)

pdf	Distillation Enhanced Generative Retrieval Yongqi Li, Zhen Zhang, Wenjie Wang, Liqiang Nie, Wenjie Li, Tat-Seng Chua ACL 2024 Findings (Full)

pdf	Unlocking efficiency in large language model inference: A comprehensive survey of speculative decoding Heming Xia, Zhe Yang, Qingxiu Dong, Peiyi Wang, Yongqi Li, Tao Ge, Tianyu Liu, Wenjie Li, Zhifang Sui ACL 2024 Findings (Full)

pdf	GliDe with a CaPE: A Low-Hassle Method to Accelerate Speculative Decoding Cunxiao Du, Jing Jiang, Xu Yuanchen, Jiawei Wu, Sicheng Yu, Yongqi Li, Shenggui Li, Kai Xu, Liqiang Nie, Zhaopeng Tu, Yang You ICML 2024 (Full)

pdf	A Survey of Generative Search and Recommendation in the Era of Large Language Models Yongqi Li, Xinyu Lin, Wenjie Wang, Fuli Feng, Liang Pang, Wenjie Li, Liqiang Nie, Xiangnan He, Tat-Seng Chua Arxiv 2024 (Full)

pdf	Data-efficient Fine-tuning for LLM-based Recommendation Xinyu Lin, Wenjie Wang, Yongqi Li, Shuo Yang, Fuli Feng, Yinwei Wei, Tat-Seng Chua SIGIR 2024 (Full)

pdf	Discriminative Probing and Tuning for Text-to-Image Generation Leigang Qu, Wenjie Wang, Yongqi Li, Hanwang Zhang, Liqiang Nie, Tat-Seng Chua CVPR 2024 (Full)   • Codes&Data

pdf	Learning to Rank in Generative Retrieval Yongqi Li, Nan Yang, Liang Wang, Furu Wei, Wenjie Li AAAI 2024 (Full)   • Codes&Data

pdf	Temporally and Distributionally Robust Optimization for Cold-start Recommendation Xinyu Lin, Wenjie Wang, Jujia Zhao, Yongqi Li, Fuli Feng, Tat-Seng Chua AAAI 2024 (Full)

pdf	Generative Retrieval for Conversational Question Answering Yongqi Li, Nan Yang, Liang Wang, Furu Wei, Wenjie Li IP&M 2023 (Full) Best Ph.D. Paper Award: Honorable Mention   • Codes&Data

pdf	Multiview Identifiers Enhanced Generative Retrieval Yongqi Li, Nan Yang, Liang Wang, Furu Wei, Wenjie Li ACL 2023 (Full)   • Codes&Data

pdf	MMCoQA: Conversational Question Answering over Text, Tables, and Images Yongqi Li, Wenjie Li, Liqiang Nie ACL 2022 (Full)   • Codes&Data

pdf	Dynamic Graph Reasoning for Conversational Open-Domain Question Answering Yongqi Li, Wenjie Li, Liqiang Nie ACM TOIS 2022 (Full)   • Codes&Data

pdf	Large-Scale Question Tagging via Joint Question-Topic Embedding Learning Liqiang Nie, Yongqi Li, Fuli Feng, Xuemeng Song, Meng Wang, Yinglong Wang ACM TOIS 2020 (Full)   • Codes&Data

pdf	Routing Micro-videos via A Temporal Graph-guided Recommendation System Yongqi Li, Meng Liu, Jianhua Yin, Chaoran Cui, Xinshun-Xu, Liqiang Nie ACM MM 2019 (Full)   • Codes&Data

Professional Services

Guest Editor for Frontiers in Big Data Area Chair for COLING 2025 Program Committee Member and Reviewer for LREC-COLING 2024 Program Committee Member and Reviewer for ACM CIKM 2023 Program Committee Member and Reviewer for ACM WSDM 2023 Invited Reviewer for ACM Transactions on Information Systems (TOIS) Invited Reviewer for IEEE Transactions on Knowledge and Data Engineering (TKDE) Invited Reviewer for IEEE Transactions on Multimedia (TMM) Invited Reviewer for IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) Invited Reviewer for Information Processing & Management (IP&M) Invited Reviewer for Information Sciences Invited Reviewer for ChinaMM (2020)

Patent

Routing Micro-videos via A Temporal Graph-guided Recommendation System (ZL 2019 1 0599470.7)    - Meng Liu, Liqiang Nie, Yongqi Li, Jianhua Yin, Tian Gan, Xuemeng Song

Explicit Interaction Model towards Text Classification (ZL 2018 1 1296063.0)    - Cunxiao Du, Fuli Feng, Zhaozheng Chen, Yongqi Li, Xuemeng Song, Liqiang Nie

Learning to Score Diving Sports (ZL 2018 1 1030493.8)    - Yongqi Li, Cunxiao Du, Junyu Lin, Tian Gan, Xuemeng Song, Liqiang Nie

Teaching

Teaching Assistant, 2020 Spring, COMP1433 Introduction to Data Analytics Teaching Assistant, 2020 Fall, COMP5541 Machine Learning and Data Analytics Teaching Assistant, 2021 Spring, COMP5423 Natural Language Processing Teaching Assistant, 2021 Fall, COMP6703 Advanced Topics in Data Analytics Teaching Assistant, 2022 Spring, COMP5423 Natural Language Processing Teaching Assistant, 2023 Spring, COMP5423 Natural Language Processing