Routing Micro-videos via A Temporal Graph-guided Recommendation System. - Yongqi Li 001; Meng Liu 006; Jianhua Yin; Chaoran Cui; Xin-Shun Xu; Liqiang Nie (ACM Multimedia, 2019)

Large-Scale Question Tagging via Joint Question-Topic Embedding Learning. - Liqiang Nie; Yongqi Li 001; Fuli Feng; Xuemeng Song; Meng Wang 001; Yinglong Wang 001 (ACM Trans. Inf. Syst., 2020)

Incremental Knowledge Based Question Answering. - Yongqi Li 001; Wenjie Li 002; Liqiang Nie (CoRR, 2021)

A Graph-guided Multi-round Retrieval Method for Conversational Open-domain Question Answering. - Yongqi Li 001; Wenjie Li 002; Liqiang Nie (CoRR, 2021)

Data Distillation for Text Classification. - Yongqi Li 001; Wenjie Li 002 (CoRR, 2021)

Multi-resolution Representation for Streaming Time Series Retrieval. - Wei Luo; Yongqi Li 001; Fubin Yao; Shaokun Wang; Zhen Li; Peng Zhan; Xueqing Li (Int. J. Pattern Recognit. Artif. Intell., 2021)

MMCoQA: Conversational Question Answering over Text, Tables, and Images. - Yongqi Li 001; Wenjie Li 002; Liqiang Nie (ACL (1), 2022)

Dynamic Graph Reasoning for Conversational Open-Domain Question Answering. - Yongqi Li 001; Wenjie Li 002; Liqiang Nie (ACM Trans. Inf. Syst., 2022)

Multiview Identifiers Enhanced Generative Retrieval. - Yongqi Li 001; Nan Yang 002; Liang Wang 046; Furu Wei; Wenjie Li 002 (ACL (1), 2023)

A Multi-facet Paradigm to Bridge Large Language Model and Recommendation. - Xinyu Lin 001; Wenjie Wang 007; Yongqi Li 001; Fuli Feng; See-Kiong Ng; Tat-Seng Chua (CoRR, 2023)

Generative retrieval for conversational question answering. - Yongqi Li 001; Nan Yang 002; Liang Wang 046; Furu Wei; Wenjie Li 002 (Inf. Process. Manag., 2023)

Learning to Rank in Generative Retrieval. - Yongqi Li 001; Nan Yang 002; Liang Wang 046; Furu Wei; Wenjie Li 002 (AAAI, 2024)

Temporally and Distributionally Robust Optimization for Cold-Start Recommendation. - Xinyu Lin 001; Wenjie Wang 007; Jujia Zhao; Yongqi Li 001; Fuli Feng; Tat-Seng Chua (AAAI, 2024)

Generative Cross-Modal Retrieval: Memorizing Images in Multimodal Language Models for Retrieval and Beyond. - Yongqi Li 001; Wenjie Wang 007; Leigang Qu; Liqiang Nie; Wenjie Li 002; Tat-Seng Chua (ACL (1), 2024)

Distillation Enhanced Generative Retrieval. - Yongqi Li 001; Zhen Zhang; Wenjie Wang 007; Liqiang Nie; Wenjie Li 002; Tat-Seng Chua (ACL (Findings), 2024)

Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding. - Heming Xia; Zhe Yang 013; Qingxiu Dong; Peiyi Wang; Yongqi Li 001; Tao Ge 001; Tianyu Liu 001; Wenjie Li 002; Zhifang Sui (ACL (Findings), 2024)

Learnable Item Tokenization for Generative Recommendation. - Wenjie Wang 007; Honghui Bao; Xinyu Lin 001; Jizhi Zhang; Yongqi Li 001; Fuli Feng; See-Kiong Ng; Tat-Seng Chua (CIKM, 2024)

Discriminative Probing and Tuning for Text-to-Image Generation. - Leigang Qu; Wenjie Wang 007; Yongqi Li 001; Hanwang Zhang; Liqiang Nie; Tat-Seng Chua (CVPR, 2024)

Enhancing Tool Retrieval with Iterative Feedback from Large Language Models. - Qiancheng Xu; Yongqi Li 001; Heming Xia; Wenjie Li 002 (EMNLP (Findings), 2024)

GliDe with a CaPE: A Low-Hassle Method to Accelerate Speculative Decoding. - Cunxiao Du; Jing Jiang 001; Yuanchen Xu; Jiawei Wu 003; Sicheng Yu; Yongqi Li 001; Shenggui Li; Kai Xu; Liqiang Nie; Zhaopeng Tu; Yang You (ICML, 2024)

Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation. - Xinyu Lin 001; Wenjie Wang 007; Yongqi Li 001; Fuli Feng; See-Kiong Ng; Tat-Seng Chua (KDD, 2024)

Data-efficient Fine-tuning for LLM-based Recommendation. - Xinyu Lin 001; Wenjie Wang 007; Yongqi Li 001; Shuo Yang 006; Fuli Feng; Yinwei Wei; Tat-Seng Chua (SIGIR, 2024)

A Survey of Generative Search and Recommendation in the Era of Large Language Models. - Yongqi Li 001; Xinyu Lin 001; Wenjie Wang 007; Fuli Feng; Liang Pang; Wenjie Li 002; Liqiang Nie; Xiangnan He 001; Tat-Seng Chua (CoRR, 2024)

Learnable Tokenizer for LLM-based Generative Recommendation. - Wenjie Wang 007; Honghui Bao; Xilin Chen 001; Jizhi Zhang; Yongqi Li 001; Fuli Feng; See-Kiong Ng; Tat-Seng Chua (CoRR, 2024)

Unified Text-to-Image Generation and Retrieval. - Leigang Qu; Haochuan Li; Tan Wang; Wenjie Wang 007; Yongqi Li 001; Liqiang Nie; Tat-Seng Chua (CoRR, 2024)

PEToolLLM: Towards Personalized Tool Learning in Large Language Models. - Qiancheng Xu; Yongqi Li 001; Heming Xia; Fan Liu; Min Yang 005; Wenjie Li 002 (ACL (Findings), 2025)

Towards Text-Image Interleaved Retrieval. - Xin Zhang 097; Ziqi Dai; Yongqi Li 001; Yanzhao Zhang; Dingkun Long; Pengjun Xie; Meishan Zhang; Jun Yu; Wenjie Li 002; Min Zhang 005 (ACL (1), 2025)

Personalized Large Language Model Assistant with Evolving Conditional Memory. - Ruifeng Yuan; Shichao Sun; Yongqi Li 001; Zili Wang; Ziqiang Cao; Wenjie Li 002 (COLING, 2025)

Interleaved-Modal Chain-of-Thought. - Jun Gao; Yongqi Li 001; Ziqiang Cao; Wenjie Li 002 (CVPR, 2025)

Efficient Inference for Large Language Model-based Generative Recommendation. - Xinyu Lin 001; Chaoqun Yang 002; Wenjie Wang 007; Yongqi Li 001; Cunxiao Du; Fuli Feng; See-Kiong Ng; Tat-Seng Chua (ICLR, 2025)

TIGeR: Unifying Text-to-Image Generation and Retrieval with Large Multimodal Models. - Leigang Qu; Haochuan Li; Tan Wang; Wenjie Wang 007; Yongqi Li 001; Liqiang Nie; Tat-Seng Chua (ICLR, 2025)

SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration. - Heming Xia; Yongqi Li 001; Jun Zhang 069; Cunxiao Du; Wenjie Li 002 (ICLR, 2025)

Revolutionizing Text-to-Image Retrieval as Autoregressive Token-to-Voken Generation. - Yongqi Li 001; Hongru Cai; Wenjie Wang 007; Leigang Qu; Yinwei Wei; Wenjie Li 002; Liqiang Nie; Tat-Seng Chua (SIGIR, 2025)

Exploring Training and Inference Scaling Laws in Generative Retrieval. - Hongru Cai; Yongqi Li 001; Ruifeng Yuan; Wenjie Wang 007; Zhen Zhang; Wenjie Li 002; Tat-Seng Chua (SIGIR, 2025)

Large Language Models Empowered Personalized Web Agents. - Hongru Cai; Yongqi Li 001; Wenjie Wang 007; Fengbin Zhu; Xiaoyu Shen 001; Wenjie Li 002; Tat-Seng Chua (WWW, 2025)

TokenSkip: Controllable Chain-of-Thought Compression in LLMs. - Heming Xia; Yongqi Li 001; Chak Tou Leong; Wenjie Wang 007; Wenjie Li 002 (CoRR, 2025)

Tutorial Proposal: Speculative Decoding for Efficient LLM Inference. - Heming Xia; Cunxiao Du; Yongqi Li 001; Qian Liu; Wenjie Li 002 (CoRR, 2025)

MultiConIR: Towards multi-condition Information Retrieval. - Xuan Lu; Sifan Liu; Bochao Yin; Yongqi Li 001; Xinghao Chen 009; Hui Su; Yaohui Jin; Wenjun Zeng; Xiaoyu Shen 001 (CoRR, 2025)

Towards Harmless Multimodal Assistants with Blind Preference Optimization. - Yongqi Li 001; Lu Yang; Jian Wang 054; Runyang You; Wenjie Li 002; Liqiang Nie (CoRR, 2025)

R2ec: Towards Large Recommender Models with Reasoning. - Runyang You; Yongqi Li 001; Xinyu Lin 001; Xin Zhang 097; Wenjie Wang 007; Wenjie Li 002; Liqiang Nie (CoRR, 2025)

Scaling over Scaling: Exploring Test-Time Scaling Pareto in Large Reasoning Models. - Jian Wang 054; Boyan Zhu; Chak Tou Leong; Yongqi Li 001; Wenjie Li 002 (CoRR, 2025)

EARN: Efficient Inference Acceleration for LLM-based Generative Recommendation by Register Tokens. - Chaoqun Yang 002; Xinyu Lin 001; Wenjie Wang 007; Yongqi Li 001; Teng Sun; Xianjing Han; Tat-Seng Chua (CoRR, 2025)