| 2026 | AAAI | OrgaCast: A Trustworthy Spatiotemporal Diffusion Model for Fluorescence Organoid Forecasting. | Dawei Gao, Angello Huerta Gomez, Mingchen Li, Marcel El-Mokahal, Huaxiao Yang, Yunhe Feng |
| 2026 | ACL | RiTeK: A Dataset for Large Language Models Complex Reasoning over Textual Knowledge Graphs in Medicine. | Jiatan Huang, Mingchen Li, Zonghai Yao, Dawei Li, Yuxin Zhang, Zhichao Yang, Yongkang Xiao, Feiyun Ouyang, Xiaohan Li, Shuo Han, Hong Yu |
| 2026 | ACL | Efficient and Effective Internal Memory Retrieval for LLM-Based Healthcare Prediction. | Mingchen Li, Jiatan Huang, Zonghai Yao, Hong Yu |
| 2026 | EACL | Harmful Factuality: LLMs Correcting What They Shouldn't. | Mingchen Li, Hanzhi Zhang, Heng Fan, Junhua Ding, Yunhe Feng |
| 2026 | WWW | Digital Skin, Digital Bias: Uncovering Tone-Based Biases in LLMs and Emoji Embeddings. | Mingchen Li, Wajdi Aljedaani, Yingjie Liu, Navyasri Meka, Xuan Lu, Xinyue Ye, Junhua Ding, Yunhe Feng |
| 2025 | AAAI | On the Power of Convolution-Augmented Transformer. | Mingchen Li, Xuechen Zhang, Yixiao Huang, Samet Oymak |
| 2025 | ACL | VenusFactory: An Integrated System for Protein Engineering with Data Retrieval and Language Model Fine-Tuning. | Yang Tan, Chen Liu, Jingyuan Gao, Banghao Wu, Mingchen Li, Ruilin Wang, Lingrong Zhang, Huiqun Yu, Guisheng Fan, Liang Hong, Bingxin Zhou |
| 2025 | EMNLP | DP-GTR: Differentially Private Prompt Protection via Group Text Rewriting. | Mingchen Li, Heng Fan, Song Fu, Junhua Ding, Yunhe Feng |
| 2025 | ICLR | TVNet: A Novel Time Series Analysis Method Based on Dynamic Convolution and 3D-Variation. | Chenghan Li, Mingchen Li, Ruisheng Diao |
| 2025 | IJCAI | ContextAware: A Multi-Agent Framework for Detecting Harmful Image-Based Comments on Social Media. | Zheng Wei, Mingchen Li, Pu Zhang, Xinyu Liu, Huamin Qu, Pan Hui |
| 2024 | AAAI | Class-Attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective. | Xuechen Zhang, Mingchen Li, Jiasi Chen, Christos Thrampoulidis, Samet Oymak |
| 2024 | DSAA | Prompt-Based Contrastive Learning to Combat the COVID-19 Infodemic. | Zifan Peng, Mingchen Li, Yue Wang, Daniel Y. Mo |
| 2024 | ICDM | Zero-Shot Link Prediction in Knowledge Graphs with Large Language Models. | Mingchen Li, Chen Ling, Rui Zhang, Liang Zhao |
| 2023 | CSCWD | A Computational Framework for Effective Representation and Extraction of Knowledge Graph for Power Plant Maintenance and Overhaul. | Chenghan Li, Mingchen Li, Hanzhen Lu, Jiabao Pan, Bo Qin, Hongwei Wang |
| 2023 | SIGIR | Understand the Dynamic World: An End-to-End Knowledge Informed Framework for Open Domain Entity State Tracking. | Mingchen Li, Lifu Huang |
| 2022 | COLING | Semantic Structure Based Query Graph Prediction for Question Answering over Knowledge Graph. | Mingchen Li, Jonathan Shihao Ji |
| 2022 | EMNLP | A Hierarchical N-Gram Framework for Zero-Shot Link Prediction. | Mingchen Li, Junfan Chen, Samuel Mensah, Nikolaos Aletras, Xiulong Yang, Yang Ye |
| 2022 | ICML | FedNest: Federated Bilevel, Minimax, and Compositional Optimization. | Davoud Ataee Tarzanagh, Mingchen Li, Christos Thrampoulidis, Samet Oymak |
| 2021 | ICASSP | On the Marginal Benefit of Active Learning: Does Self-Supervision Eat its Cake? | Yao-Chun Chan, Mingchen Li, Samet Oymak |
| 2021 | ICIP | Learning Associative Representation for Facial Expression Recognition. | Yangtao Du, Dingkang Yang, Peng Zhai, Mingchen Li, Lihua Zhang |
| 2021 | ICML | Generalization Guarantees for Neural Architecture Search with Train-Validation Split. | Samet Oymak, Mingchen Li, Mahdi Soltanolkotabi |
| 2020 | AISTATS | Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks. | Mingchen Li, Mahdi Soltanolkotabi, Samet Oymak |
| 2019 | ACSSC | Generalization, Adaptation and Low-Rank Representation in Neural Networks. | Samet Oymak, Zalan Fabian, Mingchen Li, Mahdi Soltanolkotabi |