Yu Huang

25 papers A* 7Journal 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
ConvexBench: Can LLMs Recognize Convex Functions?
CoRR
Yepeng Liu, Yu Huang, Yu-Xiang Wang, Yingbin Liang, Yuheng Bu
2026 J jnl
On the Learning Dynamics of RLVR at the Edge of Competence.
CoRR
Yu Huang, Zixin Wen, Yuejie Chi, Yuting Wei, Aarti Singh, Yingbin Liang, Yuxin Chen
2026 J jnl
Preconditioning Benefits of Spectral Orthogonalization in Muon.
CoRR
Jianhao Ma, Yu Huang, Yuejie Chi, Yuxin Chen
2025 A* conf
A Theoretical Analysis of Self-Supervised Learning for Vision Transformers.
ICLR
Yu Huang, Zixin Wen, Yuejie Chi, Yingbin Liang
2025 J jnl
Fast Computation of Optimal Transport via Entropy-Regularized Extragradient Methods.
SIAM J. Optim.
Gen Li, Yanxi Chen, Yu Huang, Yuejie Chi, H. Vincent Poor, Yuxin Chen
2025 J jnl
Multi-head Transformers Provably Learn Symbolic Multi-step Reasoning via Gradient Descent.
CoRR
Tong Yang, Yu Huang, Yingbin Liang, Yuejie Chi
2025 J jnl
Transformers Meet In-Context Learning: A Universal Approximation Theory.
CoRR
Gen Li, Yuchen Jiao, Yu Huang, Yuting Wei, Yuxin Chen
2025 J jnl
Transformers Provably Learn Chain-of-Thought Reasoning with Length Generalization.
CoRR
Yu Huang, Zixin Wen, Aarti Singh, Yuejie Chi, Yuxin Chen
2025 J jnl
Transformers Provably Learn Directed Acyclic Graphs via Kernel-Guided Mutual Information.
CoRR
Yuan Cheng, Yu Huang, Zhe Xiong, Yingbin Liang, Vincent Y. F. Tan
2024 A* conf
Accelerating Convergence of Score-Based Diffusion Models, Provably.
ICML
Gen Li, Yu Huang, Timofey Efimov, Yuting Wei, Yuejie Chi, Yuxin Chen
2024 J jnl
Accelerating Convergence of Score-Based Diffusion Models, Provably.
CoRR
Gen Li, Yu Huang, Timofey Efimov, Yuting Wei, Yuejie Chi, Yuxin Chen
2024 A* conf
In-Context Learning with Representations: Contextual Generalization of Trained Transformers.
NeurIPS
Tong Yang, Yu Huang, Yingbin Liang, Yuejie Chi
2024 J jnl
In-Context Learning with Representations: Contextual Generalization of Trained Transformers.
CoRR
Tong Yang, Yu Huang, Yingbin Liang, Yuejie Chi
2024 A* conf
In-context Convergence of Transformers.
ICML
Yu Huang, Yuan Cheng, Yingbin Liang
2024 J jnl
Transformers Provably Learn Feature-Position Correlations in Masked Image Modeling.
CoRR
Yu Huang, Zixin Wen, Yuejie Chi, Yingbin Liang
2023 J jnl
In-Context Convergence of Transformers.
CoRR
Yu Huang, Yuan Cheng, Yingbin Liang
2023 J jnl
Online Min-max Problems with Non-convexity and Non-stationarity.
Trans. Mach. Learn. Res.
Yu Huang, Yuan Cheng, Yingbin Liang, Longbo Huang
2022 A* conf
Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably).
ICML
Yu Huang, Junyang Lin, Chang Zhou, Hongxia Yang, Longbo Huang
2022 J jnl
Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably).
CoRR
Yu Huang, Junyang Lin, Chang Zhou, Hongxia Yang, Longbo Huang
2022 A* conf
Provable Generalization of Overparameterized Meta-learning Trained with SGD.
NeurIPS
Yu Huang, Yingbin Liang, Longbo Huang
2022 J jnl
Provable Generalization of Overparameterized Meta-learning Trained with SGD.
CoRR
Yu Huang, Yingbin Liang, Longbo Huang
2021 A* conf
What Makes Multi-Modal Learning Better than Single (Provably).
NeurIPS
Yu Huang, Chenzhuang Du, Zihui Xue, Xuanyao Chen, Hang Zhao, Longbo Huang
2021 J jnl
What Makes Multimodal Learning Better than Single (Provably).
CoRR
Yu Huang, Chenzhuang Du, Zihui Xue, Xuanyao Chen, Hang Zhao, Longbo Huang
2020 J jnl
Heavy Traffic Analysis of Approximate Max-Weight Matching Algorithms for Input-Queued Switches.
SIGMETRICS Perform. Evaluation Rev.
Yu Huang, Longbo Huang
2020 J jnl
Heavy traffic analysis of approximate max-weight matching algorithms for input-queued switches.
Perform. Evaluation
Yu Huang, Longbo Huang