Li, Mingchen

16 publications

IJCAI 2025 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

AAAI 2025 On the Power of Convolution-Augmented Transformer Mingchen Li, Xuechen Zhang, Yixiao Huang, Samet Oymak

MLJ 2025 Prompt-Based Contrastive Learning to Combat the COVID-19 Infodemic Zifan Peng, Mingchen Li, Yue Wang, Daniel Y. Mo

ICLR 2025 TVNet: A Novel Time Series Analysis Method Based on Dynamic Convolution and 3D-Variation Chenghan Li, Mingchen Li, Ruisheng Diao

NeurIPS 2025 Venus-MAXWELL: Efficient Learning of Protein-Mutation Stability Landscapes Using Protein Language Models Yuanxi Yu, Fan Jiang, Xinzhu Ma, Liang Zhang, Bozitao Zhong, Wanli Ouyang, Guisheng Fan, Huiqun Yu, Liang Hong, Mingchen Li

NeurIPSW 2024 Algorithmic Oversight for Deceptive Reasoning Ege Onur Taga, Mingchen Li, Yongqi Chen, Samet Oymak

AAAI 2024 Class-Attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective Xuechen Zhang, Mingchen Li, Jiasi Chen, Christos Thrampoulidis, Samet Oymak

NeurIPSW 2024 Learning Temperature-Aware Representations from Millions of Annotated Protein Sequences Mingchen Li, Liang Zhang, Zilan Wang, Bozitao Zhong, Pan Tan, Jiabei Cheng, Bingxin Zhou, Liang Hong, Huiqun Yu

ICMLW 2024 On the Power of Convolution Augmented Transformer Mingchen Li, Xuechen Zhang, Yixiao Huang, Samet Oymak

NeurIPS 2024 ProSST: Protein Language Modeling with Quantized Structure and Disentangled Attention Mingchen Li, Yang Tan, Xinzhu Ma, Bozitao Zhong, Huiqun Yu, Ziyi Zhou, Wanli Ouyang, Bingxin Zhou, Pan Tan, Liang Hong

NeurIPS 2024 Selective Attention: Enhancing Transformer Through Principled Context Control Xuechen Zhang, Xiangyu Chang, Mingchen Li, Amit Roy-Chowdhury, Jiasi Chen, Samet Oymak

NeurIPSW 2023 Augmenting Federated Learning with Pretrained Transformers Xuechen Zhang, Mingchen Li, Xiangyu Chang, Jiasi Chen, Amit Roy-Chowdhury, Ananda Suresh, Samet Oymak

ICML 2022 FedNest: Federated Bilevel, Minimax, and Compositional Optimization Davoud Ataee Tarzanagh, Mingchen Li, Christos Thrampoulidis, Samet Oymak

NeurIPS 2021 AutoBalance: Optimized Loss Functions for Imbalanced Data Mingchen Li, Xuechen Zhang, Christos Thrampoulidis, Jiasi Chen, Samet Oymak

ICML 2021 Generalization Guarantees for Neural Architecture Search with Train-Validation Split Samet Oymak, Mingchen Li, Mahdi Soltanolkotabi

AISTATS 2020 Gradient Descent with Early Stopping Is Provably Robust to Label Noise for Overparameterized Neural Networks Mingchen Li, Mahdi Soltanolkotabi, Samet Oymak