Heavy traffic analysis of approximate max-weight matching algorithms for input-queued switches. - Yu Huang 023; Longbo Huang (Perform. Evaluation, 2020)

What Makes Multi-Modal Learning Better than Single (Provably). - Yu Huang 023; Chenzhuang Du; Zihui Xue; Xuanyao Chen; Hang Zhao; Longbo Huang (NeurIPS, 2021)

What Makes Multimodal Learning Better than Single (Provably). - Yu Huang 023; Chenzhuang Du; Zihui Xue; Xuanyao Chen; Hang Zhao; Longbo Huang (CoRR, 2021)

Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably). - Yu Huang 023; Junyang Lin; Chang Zhou; Hongxia Yang; Longbo Huang (ICML, 2022)

Provable Generalization of Overparameterized Meta-learning Trained with SGD. - Yu Huang 023; Yingbin Liang; Longbo Huang (NeurIPS, 2022)

Online Min-max Problems with Non-convexity and Non-stationarity. - Yu Huang 023; Yuan Cheng; Yingbin Liang; Longbo Huang (Trans. Mach. Learn. Res., 2023)

Accelerating Convergence of Score-Based Diffusion Models, Provably. - Gen Li 005; Yu Huang 023; Timofey Efimov; Yuting Wei 001; Yuejie Chi; Yuxin Chen 002 (ICML, 2024)

In-context Convergence of Transformers. - Yu Huang 023; Yuan Cheng; Yingbin Liang (ICML, 2024)

In-Context Learning with Representations: Contextual Generalization of Trained Transformers. - Tong Yang 007; Yu Huang 023; Yingbin Liang; Yuejie Chi (NeurIPS, 2024)

Transformers Provably Learn Feature-Position Correlations in Masked Image Modeling. - Yu Huang 023; Zixin Wen; Yuejie Chi; Yingbin Liang (CoRR, 2024)

A Theoretical Analysis of Self-Supervised Learning for Vision Transformers. - Yu Huang 023; Zixin Wen; Yuejie Chi; Yingbin Liang (ICLR, 2025)

Fast Computation of Optimal Transport via Entropy-Regularized Extragradient Methods. - Gen Li 005; Yanxi Chen 001; Yu Huang 023; Yuejie Chi; H. Vincent Poor; Yuxin Chen 002 (SIAM J. Optim., 2025)

Multi-head Transformers Provably Learn Symbolic Multi-step Reasoning via Gradient Descent. - Tong Yang 007; Yu Huang 023; Yingbin Liang; Yuejie Chi (CoRR, 2025)