Yu Huang, Yuan Cheng, Yingbin Liang. “In-Context Convergence of Transformers”, NeurIPS 2023 Workshop on Mathematics of Modern Machine Learning (M3L). (Oral) [arxiv] [slide]

Yu Huang*, Yuan Cheng*, Yingbin Liang, Longbo Huang. “Online Min-max Problems with Non-convexity and Non-stationarity”, Transactions on Machine Learning Research (TMLR), 2023. [link]

Yu Huang, Yingbin Liang, Longbo Huang. “Provable generalization of overparameterized meta-learning trained with SGD”,  Advances in Neural Information Processing Systems (NeurIPS), 2022. (Spotlight) [arxiv]

Yu Huang, Junyang Lin, Chang Zhou, Hongxia Yang, Longbo Huang. “Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably)”, International Conference on Machine Learning (ICML), 2022. [arxiv]

Yu Huang*, Chenzhuang Du*, Zihui Xue, Xuanyao Chen, Hang Zhao, Longbo Huang. “What Makes Multi-modal Learning Better than Single (Provably)”, Advances in Neural Information Processing Systems (NeurIPS), 2021. [arxiv]

Yu Huang, Longbo Huang. “Heavy Traffic Analysis of Approximate Max-Weight Matching Algorithms for Input-Queued Switches” , International Symposium on Computer Performance, Modeling, Measurement and Evaluation (Performance), 2020. [link]