| 2025 | NAACL | ALERT: An LLM-powered Benchmark for Automatic Evaluation of Recommendation Explanations. | Yichuan Li, Xinyang Zhang, Chenwei Zhang, Mao Li, Tianyi Liu, Pei Chen, Yifan Gao, Kyumin Lee, Kaize Ding, Zhengyang Wang, Zhihan Zhang, Jingbo Shang, Xian Li, Trishul Chilimbi |
| 2025 | NAACL | FaithfulPersona: Balancing Faithfulness and Personalization in Code Explanations through Self-Critique. | Zhuang Luo, Yichuan Li, Zexing Xu, Kyumin Lee, S. Rasoul Etesami |
| 2025 | NAACL | IHEval: Evaluating Language Models on Following the Instruction Hierarchy. | Zhihan Zhang, Shiyang Li, Zixuan Zhang, Xin Liu, Haoming Jiang, Xianfeng Tang, Yifan Gao, Zheng Li, Haodong Wang, Zhaoxuan Tan, Yichuan Li, Qingyu Yin, Bing Yin, Meng Jiang |
| 2024 | ACL | Empowering Large Language Models for Textual Data Augmentation. | Yichuan Li, Kaize Ding, Jianling Wang, Kyumin Lee |
| 2024 | EMNLP | Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning. | Zhengyu Hu, Yichuan Li, Zhengyu Chen, Jingang Wang, Han Liu, Kyumin Lee, Kaize Ding |
| 2024 | ICLR | MEND: Meta Demonstration Distillation for Efficient and Effective In-Context Learning. | Yichuan Li, Xiyao Ma, Sixing Lu, Kyumin Lee, Xiaohu Liu, Chenlei Guo |
| 2024 | IGARSS | Landslidenet: Adaptive Vision Foundation Model for Landslide Detection. | Junchuan Yu, Yichuan Li, Yangyang Chen, Changhong Hou, Daqing Ge, Yanni Ma, Qiong Wu |
| 2024 | ISCC | Machine Learning Based Visible Light Positioning System Under High Blockage Conditions. | Kaiye Huang, Xinyu Zhang, Xiongbo Cao, Mohammed El-Hajjar, Yichuan Li |
| 2023 | EMNLP | GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs. | Yichuan Li, Kaize Ding, Kyumin Lee |
| 2023 | EMNLP | KEPLET: Knowledge-Enhanced Pretrained Language Model with Topic Entity Awareness. | Yichuan Li, Jialong Han, Kyumin Lee, Chengyuan Ma, Benjamin Z. Yao, Xiaohu Liu |
| 2023 | ICRA | Two-Stage Grasping: A New Bin Picking Framework for Small Objects. | Hanwen Cao, Jianshu Zhou, Junda Huang, Yichuan Li, Ng Cheng Meng, Rui Cao, Qi Dou, Yunhui Liu |
| 2023 | PAKDD | What Boosts Fake News Dissemination on Social Media? A Causal Inference View. | Yichuan Li, Kyumin Lee, Nima Kordzadeh, Ruocheng Guo |
| 2022 | ECCV | Sim-to-Real 6D Object Pose Estimation via Iterative Self-training for Robotic Bin Picking. | Kai Chen, Rui Cao, Stephen James, Yichuan Li, Yun-Hui Liu, Pieter Abbeel, Qi Dou |
| 2022 | ICASSP | A Communication Efficient Quasi-Newton Method for Large-Scale Distributed Multi-Agent Optimization. | Yichuan Li, Petros G. Voulgaris, Nikolaos M. Freris |
| 2022 | ICDE | FedADMM: A Robust Federated Deep Learning Framework with Adaptivity to System Heterogeneity. | Yonghai Gong, Yichuan Li, Nikolaos M. Freris |
| 2022 | ISCC | Intelligent Analog Radio Over Fiber aided C-RAN for Mitigating Nonlinearity and Improving Robustness. | Yichuan Li, Mohammed El-Hajjar |
| 2021 | AAAI | Fact-Enhanced Synthetic News Generation. | Kai Shu, Yichuan Li, Kaize Ding, Huan Liu |
| 2021 | IROS | Fuzzy-Depth Objects Grasping Based on FSG Algorithm and a Soft Robotic Hand. | Hanwen Cao, Junda Huang, Yichuan Li, Jianshu Zhou, Yunhui Liu |
| 2020 | CIKM | Challenges in Combating COVID-19 Infodemic - Data, Tools, and Ethics. | Kaize Ding, Kai Shu, Yichuan Li, Amrita Bhattacharjee, Huan Liu |
| 2020 | IJCAI | IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data. | Ruocheng Guo, Jundong Li, Yichuan Li, K. Seluk Candan, Adrienne Raglin, Huan Liu |