| 2026 | AAAI | Heterophily-aware Contrastive Learning for Heterophilic Hypergraphs. | Ming Li, Yongqi Li, Yuting Chen, Feilong Cao, Ke Lv |
| 2026 | AAAI | SCo-Cloud: Satellite Constellation Collaboration for Cloud-Aware Onboard-Computed Imaging and Transmission. | Jia Liu, Qian Li, Yongqi Li, Cheng Ji, Shangguang Wang |
| 2026 | ACL | Omni-R1: Towards the Unified Generative Paradigm for Multimodal Reasoning. | Dongjie Cheng, Yongqi Li, Zhixin Ma, Hongru Cai, Yupeng Hu, Wenjie Wang, Liqiang Nie, Wenjie Li |
| 2026 | ACL | Reasoning in the Dark: Interleaved Vision-Text Reasoning in Latent Space. | Chao Chen, Zhixin Ma, Yongqi Li, Yupeng Hu, Yinwei Wei, Wenjie Li, Liqiang Nie |
| 2026 | ACL | TEMA: Anchor the Image, Follow the Text for Multi-Modification Composed Image Retrieval. | Zixu Li, Yupeng Hu, Zhiheng Fu, Zhiwei Chen, Yongqi Li, Liqiang Nie |
| 2026 | ACL | Understanding Generalization in Role-Playing Models via Information Theory. | Yongqi Li, Hao Lang, Fei Huang, Tieyun Qian, Yongbin Li |
| 2026 | ACL | Controlling Multimodal Conversational Agents with Coverage-Enhanced Latent Actions. | Yongqi Li, Hao Lang, Tieyun Qian, Yongbin Li |
| 2026 | ACL | Where and What: Reasoning Dynamic and Implicit Preferences in Situated Conversational Recommendation. | Dongding Lin, Jian Wang, Yongqi Li, Wenjie Li |
| 2026 | ACL | Self-Sum: Teaching an Agent to Decide Itself When and What to Summarize. | Hongru Wang, Rui Wang, Jushi Kai, Boyang Xue, Yongqi Li, Shijue Huang, Xiaoteng Ma, Jeff Z. Pan, Amos Storkey |
| 2026 | ACL | Merlin's Whisper: Enabling Efficient Reasoning in Large Language Models via Black-box Persuasive Prompting. | Heming Xia, Cunxiao Du, Rui Li, Chak Tou Leong, Yongqi Li, Wenjie Li |
| 2026 | ACL | TInR: Exploring Tool-Internalized Reasoning in Large Language Models. | Qiancheng Xu, Yongqi Li, Fan Liu, Hongru Wang, Min Yang, Wenjie Li |
| 2026 | ACL | Parallel Test-Time Scaling for Latent Reasoning Models. | Runyang You, Yongqi Li, Meng Liu, Wenjie Wang, Liqiang Nie, Wenjie Li |
| 2026 | DASFAA | Debiasing LLMs in Knowledge-Intensive Tasks via Information-Gain Guided Front-Door Adjustment. | Xin Miao, Yongqi Li, Hankun Kang, Mayi Xu, Jintao Wen, Yuanyuan Zhu, Ming Zhong, Jiawei Jiang, Tieyun Qian |
| 2026 | SIGIR | One Adapts to Any: Meta Reward Modeling for Personalized LLM Alignment. | Hongru Cai, Yongqi Li, Tiezheng Yu, Fengbin Zhu, Wenjie Wang, Fuli Feng, Wenjie Li |
| 2026 | SIGIR | Recursive Short-to-Long Generalization for Multi-hop Reasoning. | Mayi Xu, Ke Sun, Jianhao Chen, Qiankun Pi, Guixin Su, Yunfeng Ning, Yongqi Li, Yuanyuan Zhu, Ming Zhong, Jiawei Jiang, Tieyun Qian |
| 2025 | AAAI | Strong Empowered and Aligned Weak Mastered Annotation for Weak-to-Strong Generalization. | Yongqi Li, Xin Miao, Mayi Xu, Tieyun Qian |
| 2025 | AAAI | Enhancing Relation Extraction via Supervised Rationale Verification and Feedback. | Yongqi Li, Xin Miao, Shen Zhou, Mayi Xu, Yuyang Ren, Tieyun Qian |
| 2025 | ACL | Aligning VLM Assistants with Personalized Situated Cognition. | Yongqi Li, Shen Zhou, Xiaohu Li, Xin Miao, Jintao Wen, Mayi Xu, Jianhao Chen, Birong Pan, Hankun Kang, Yuanyuan Zhu, Ming Zhong, Tieyun Qian |
| 2025 | ACL | PEToolLLM: Towards Personalized Tool Learning in Large Language Models. | Qiancheng Xu, Yongqi Li, Heming Xia, Fan Liu, Min Yang, Wenjie Li |
| 2025 | ACL | Towards Text-Image Interleaved Retrieval. | Xin Zhang, Ziqi Dai, Yongqi Li, Yanzhao Zhang, Dingkun Long, Pengjun Xie, Meishan Zhang, Jun Yu, Wenjie Li, Min Zhang |
| 2025 | APWEB | SynTSE: A Syntax-Aware Generative Method for Topic-Stance Extraction. | Jintao Wen, Yongqi Li, Shen Zhou, Ming Zhong, Yuanyuan Zhu, Tieyun Qian |
| 2025 | CIKM | VocQuiz: Vocabulary Question Generation for English Language Education. | Yongqi Li, Jiajun Wu, Shangqing Tu, Jifan Yu, Huiqin Liu, Lei Hou, Juanzi Li |
| 2025 | COLING | Personalized Large Language Model Assistant with Evolving Conditional Memory. | Ruifeng Yuan, Shichao Sun, Yongqi Li, Zili Wang, Ziqiang Cao, Wenjie Li |
| 2025 | CVPR | Interleaved-Modal Chain-of-Thought. | Jun Gao, Yongqi Li, Ziqiang Cao, Wenjie Li |
| 2025 | EMNLP | MultiConIR: Towards Multi-Condition Information Retrieval. | Xuan Lu, Sifan Liu, Bochao Yin, Yongqi Li, Xinghao Chen, Hui Su, Yaohui Jin, Wenjun Zeng, Xiaoyu Shen |
| 2025 | EMNLP | A Survey on Training-free Alignment of Large Language Models. | Birong Pan, Yongqi Li, Weiyu Zhang, Wenpeng Lu, Mayi Xu, Shen Zhou, Yuanyuan Zhu, Ming Zhong, Tieyun Qian |
| 2025 | EMNLP | TokenSkip: Controllable Chain-of-Thought Compression in LLMs. | Heming Xia, Chak Tou Leong, Wenjie Wang, Yongqi Li, Wenjie Li |
| 2025 | ICLR | Efficient Inference for Large Language Model-based Generative Recommendation. | Xinyu Lin, Chaoqun Yang, Wenjie Wang, Yongqi Li, Cunxiao Du, Fuli Feng, See-Kiong Ng, Tat-Seng Chua |
| 2025 | ICLR | TIGeR: Unifying Text-to-Image Generation and Retrieval with Large Multimodal Models. | Leigang Qu, Haochuan Li, Tan Wang, Wenjie Wang, Yongqi Li, Liqiang Nie, Tat-Seng Chua |
| 2025 | ICLR | SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration. | Heming Xia, Yongqi Li, Jun Zhang, Cunxiao Du, Wenjie Li |
| 2025 | KDD | EARN: Efficient Inference Acceleration for LLM-based Generative Recommendation by Register Tokens. | Chaoqun Yang, Xinyu Lin, Wenjie Wang, Yongqi Li, Teng Sun, Xianjing Han, Tat-Seng Chua |
| 2025 | WWW | Large Language Models Empowered Personalized Web Agents. | Hongru Cai, Yongqi Li, Wenjie Wang, Fengbin Zhu, Xiaoyu Shen, Wenjie Li, Tat-Seng Chua |
| 2025 | SIGIR | Revolutionizing Text-to-Image Retrieval as Autoregressive Token-to-Voken Generation. | Yongqi Li, Hongru Cai, Wenjie Wang, Leigang Qu, Yinwei Wei, Wenjie Li, Liqiang Nie, Tat-Seng Chua |
| 2025 | SIGIR | Exploring Training and Inference Scaling Laws in Generative Retrieval. | Hongru Cai, Yongqi Li, Ruifeng Yuan, Wenjie Wang, Zhen Zhang, Wenjie Li, Tat-Seng Chua |
| 2024 | AAAI | Learning to Rank in Generative Retrieval. | Yongqi Li, Nan Yang, Liang Wang, Furu Wei, Wenjie Li |
| 2024 | AAAI | Temporally and Distributionally Robust Optimization for Cold-Start Recommendation. | Xinyu Lin, Wenjie Wang, Jujia Zhao, Yongqi Li, Fuli Feng, Tat-Seng Chua |
| 2024 | ACL | 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 |
| 2024 | ACL | Distillation Enhanced Generative Retrieval. | Yongqi Li, Zhen Zhang, Wenjie Wang, Liqiang Nie, Wenjie Li, Tat-Seng Chua |
| 2024 | ACL | Episodic Memory Retrieval from LLMs: A Neuromorphic Mechanism to Generate Commonsense Counterfactuals for Relation Extraction. | Xin Miao, Yongqi Li, Shen Zhou, Tieyun Qian |
| 2024 | ACL | 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 |
| 2024 | ACL | An Ensemble-of-Experts Framework for Rehearsal-free Continual Relation Extraction. | Shen Zhou, Yongqi Li, Xin Miao, Tieyun Qian |
| 2024 | CIKM | Learnable Item Tokenization for Generative Recommendation. | Wenjie Wang, Honghui Bao, Xinyu Lin, Jizhi Zhang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua |
| 2024 | COLING | Prompting Large Language Models for Counterfactual Generation: An Empirical Study. | Yongqi Li, Mayi Xu, Xin Miao, Shen Zhou, Tieyun Qian |
| 2024 | CVPR | Discriminative Probing and Tuning for Text-to-Image Generation. | Leigang Qu, Wenjie Wang, Yongqi Li, Hanwang Zhang, Liqiang Nie, Tat-Seng Chua |
| 2024 | EMNLP | Adaption-of-Thought: Learning Question Difficulty Improves Large Language Models for Reasoning. | Mayi Xu, Yongqi Li, Ke Sun, Tieyun Qian |
| 2024 | EMNLP | Enhancing Tool Retrieval with Iterative Feedback from Large Language Models. | Qiancheng Xu, Yongqi Li, Heming Xia, Wenjie Li |
| 2024 | ICML | GliDe with a CaPE: A Low-Hassle Method to Accelerate Speculative Decoding. | Cunxiao Du, Jing Jiang, Yuanchen Xu, Jiawei Wu, Sicheng Yu, Yongqi Li, Shenggui Li, Kai Xu, Liqiang Nie, Zhaopeng Tu, Yang You |
| 2024 | KDD | 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 |
| 2024 | SIGIR | Data-efficient Fine-tuning for LLM-based Recommendation. | Xinyu Lin, Wenjie Wang, Yongqi Li, Shuo Yang, Fuli Feng, Yinwei Wei, Tat-Seng Chua |
| 2023 | ACL | Multiview Identifiers Enhanced Generative Retrieval. | Yongqi Li, Nan Yang, Liang Wang, Furu Wei, Wenjie Li |
| 2023 | EMNLP | Type-Aware Decomposed Framework for Few-Shot Named Entity Recognition. | Yongqi Li, Yu Yu, Tieyun Qian |
| 2023 | EMNLP | Generating Commonsense Counterfactuals for Stable Relation Extraction. | Xin Miao, Yongqi Li, Tieyun Qian |
| 2022 | ACL | MMCoQA: Conversational Question Answering over Text, Tables, and Images. | Yongqi Li, Wenjie Li, Liqiang Nie |
| 2021 | ICRA | Design of a deployable underwater robot for the recovery of autonomous underwater vehicles based on origami technique. | Jisen Li, Yuliang Yang, Yumei Zhang, Hua Zhu, Yongqi Li, Qiujun Huang, Haibo Lu, Shan He, Shengquan Li, Wei Zhang, Tao Mei, Feng Wu, Aidong Zhang |