| 2026 | ACL | RIGOURATE: Quantifying Scientific Exaggeration with Evidence-Aligned Claim Evaluation. | Joseph James, Chenghao Xiao, Yucheng Li, Nafise Sadat Moosavi, Chenghua Lin |
| 2025 | CHI | Mid-Air Gestures for Proactive Olfactory Interactions in Virtual Reality. | Junxian Li, Yanan Wang, Zhitong Cui, Jas Brooks, Yifan Yan, Zhengyu Lou, Yucheng Li |
| 2025 | CHI | AromaBite: Augmenting Flavor Experiences Through Edible Retronasal Scent Release. | Yucheng Li, Yanan Wang, Mengyuan Xiong, Max Chen, Yifan Yan, Junxian Li, Qi Wang, Preben Hansen |
| 2025 | ICLR | SCBench: A KV Cache-Centric Analysis of Long-Context Methods. | Yucheng Li, Huiqiang Jiang, Qianhui Wu, Xufang Luo, Surin Ahn, Chengruidong Zhang, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu |
| 2025 | ICML | MMInference: Accelerating Pre-filling for Long-Context Visual Language Models via Modality-Aware Permutation Sparse Attention. | Yucheng Li, Huiqiang Jiang, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu |
| 2025 | UIST | Exploring Olfactory Illusion of Virtual Objects Using Fewer Odor Sources. | Qimeng Cui, Yanan Wang, Yucheng Li |
| 2025 | UIST | Designing Visual Effects to Fabricate Olfactory Experiences in Augmented Reality. | Yanzi Zhu, Yucheng Li, Yanan Wang |
| 2024 | AAAI | LatestEval: Addressing Data Contamination in Language Model Evaluation through Dynamic and Time-Sensitive Test Construction. | Yucheng Li, Frank Guerin, Chenghua Lin |
| 2024 | EMNLP | An Open-Source Data Contamination Report for Large Language Models. | Yucheng Li, Yunhao Guo, Frank Guerin, Chenghua Lin |
| 2024 | EMNLP | On the Rigour of Scientific Writing: Criteria, Analysis, and Insights. | Joseph James, Chenghao Xiao, Yucheng Li, Chenghua Lin |
| 2024 | EMNLP | With Ears to See and Eyes to Hear: Sound Symbolism Experiments with Multimodal Large Language Models. | Tyler Loakman, Yucheng Li, Chenghua Lin |
| 2023 | ACL | Metaphor Detection via Explicit Basic Meanings Modelling. | Yucheng Li, Shun Wang, Chenghua Lin, Frank Guerin |
| 2023 | DASFAA | Cache-Enhanced InBatch Sampling with Difficulty-Based Replacement Strategies for Learning Recommenders. | Yucheng Li, Defu Lian, Jin Chen |
| 2023 | EACL | FrameBERT: Conceptual Metaphor Detection with Frame Embedding Learning. | Yucheng Li, Shun Wang, Chenghua Lin, Frank Guerin, Loc Barrault |
| 2023 | EACL | Metaphor Detection with Effective Context Denoising. | Shun Wang, Yucheng Li, Chenghua Lin, Loc Barrault, Frank Guerin |
| 2023 | EMNLP | Compressing Context to Enhance Inference Efficiency of Large Language Models. | Yucheng Li, Bo Dong, Frank Guerin, Chenghua Lin |
| 2022 | CHI | Understanding iOS Privacy Nutrition Labels: An Exploratory Large-Scale Analysis of App Store Data. | Yucheng Li, Deyuan Chen, Tianshi Li, Yuvraj Agarwal, Lorrie Faith Cranor, Jason I. Hong |
| 2022 | COLING | CM-Gen: A Neural Framework for Chinese Metaphor Generation with Explicit Context Modelling. | Yucheng Li, Chenghua Lin, Frank Guerin |
| 2021 | ECIR | An Argument Extraction Decoder in Open Information Extraction. | Yucheng Li, Yan Yang, Qinmin Hu, Chengcai Chen, Liang He |
| 2021 | IJCAI | Consistent Inference for Dialogue Relation Extraction. | Xinwei Long, Shuzi Niu, Yucheng Li |
| 2021 | SIGIR | Position Enhanced Mention Graph Attention Network for Dialogue Relation Extraction. | Xinwei Long, Shuzi Niu, Yucheng Li |
| 2020 | EMNLP | Hierarchical Region Learning for Nested Named Entity Recognition. | Xinwei Long, Shuzi Niu, Yucheng Li |
| 2020 | KSEM | Robust Sequence Embedding for Recommendation. | Rongzhi Zhang, Shuzi Niu, Yucheng Li |
| 2020 | LANMAN | Lightweight Authentication Protocol for Unmanned Aerial Vehicles Using Physical Unclonable Function and Chaotic System. | Cong Pu, Yucheng Li |
| 2018 | SIGIR | K-plet Recurrent Neural Networks for Sequential Recommendation. | Xiang Lin, Shuzi Niu, Yiqiao Wang, Yucheng Li |
| 2016 | BMVC | Multi-Scale Fully Convolutional Network for Fast Face Detection. | Yancheng Bai, Wenjing Ma, Yucheng Li, Liangliang Cao, Wen Guo, Luwei Yang |
| 2016 | IJCNN | Online variational Bayesian Support Vector Regression. | Siqi Deng, Kan Gao, Changying Du, Wenjing Ma, Guoping Long, Yucheng Li |
| 2016 | UAI | Online Bayesian Multiple Kernel Bipartite Ranking. | Changying Du, Changde Du, Guoping Long, Qing He, Yucheng Li |