Minhui Huang

According to our database, Minhui Huang authored at least 22 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Feed m Birds with One Scone: Accelerating Multi-task Gradient Balancing via Bi-level Optimization.

Xuxing Chen, Yun He, Jiayi Xu, Minhui Huang, Xiaoyi Liu, Boyang Liu, Fei Tian, Xiaohan Wei, Rong Jin, Sem Park, Bo Long, Xue Feng

CoRR, March, 2026

Efficient Retrieval Scaling with Hierarchical Indexing for Large Scale Recommendation.

Dongqi Fu, Kaushik Rangadurai, Haiyu Lu, Yunchen Pu, Siyang Yuan, Minhui Huang, Yiqun Liu, Golnaz Ghasemiesfeh, Xingfeng He, Fangzhou Xu, Andrew Cui, Vidhoon Viswanathan, Lin Yang, Liang Wang, Jiyan Yang, Chonglin Sun

Proceedings of the Proceedings 29th International Conference on Extending Database Technology, 2026

2025

A Single-Loop First-Order Algorithm for Linearly Constrained Bilevel Optimization.

Wei Shen, Jiawei Zhang, Minhui Huang, Cong Shen

CoRR, October, 2025

MLorc: Momentum Low-rank Compression for Large Language Model Adaptation.

Wei Shen, Zhang Yaxiang, Minhui Huang, Mengfan Xu, Jiawei Zhang, Cong Shen

CoRR, June, 2025

On the Convergence Analysis of Muon.

Wei Shen, Ruichuan Huang, Minhui Huang, Cong Shen, Jiawei Zhang

CoRR, May, 2025

Enhancing Embedding Representation Stability in Recommendation Systems with Semantic ID.

Carolina Zheng, Minhui Huang, Dmitrii Pedchenko, Kaushik Rangadurai, Siyu Wang, Gaby Nahum, Jie Lei, Yang Yang, Tao Liu, Zutian Luo, Xiaohan Wei, Dinesh Ramasamy, Jiyan Yang, Yiping Han, Lin Yang, Hangjun Xu, Rong Jin, Shuang Yang

CoRR, April, 2025

Decentralized bilevel optimization.

Xuxing Chen, Minhui Huang, Shiqian Ma

Optim. Lett., 2025

Efficiently Escaping Saddle Points in Bilevel Optimization.

Minhui Huang, Xuxing Chen, Kaiyi Ji, Shiqian Ma, Lifeng Lai

J. Mach. Learn. Res., 2025

Enhancing Embedding Representation Stability in Recommendation Systems with Semantic ID.

Carolina Zheng, Minhui Huang, Dmitrii Pedchenko, Kaushik Rangadurai, Siyu Wang, Fan Xia, Gaby Nahum, Jie Lei, Yang Yang, Tao Liu, Zutian Luo, Xiaohan Wei, Dinesh Ramasamy, Jiyan Yang, Yiping Han, Lin Yang, Hangjun Xu, Rong Jin, Shuang Yang

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

Tuning-Free Bilevel Optimization: New Algorithms and Convergence Analysis.

Yifan Yang, Hao Ban, Minhui Huang, Shiqian Ma, Kaiyi Ji

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

On the Convergence of Projected Alternating Maximization for Equitable and Optimal Transport.

Minhui Huang, Shiqian Ma, Lifeng Lai

J. Mach. Learn. Res., 2024

MultiBalance: Multi-Objective Gradient Balancing in Industrial-Scale Multi-Task Recommendation System.

Yun He, Xuxing Chen, Jiayi Xu, Renqin Cai, Yiling You, Jennifer Cao, Minhui Huang, Liu Yang, Yiqun Liu, Xiaoyi Liu, Rong Jin, Sem Park, Bo Long, Xue Feng

CoRR, 2024

Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization.

Wei Shen, Minhui Huang, Jiawei Zhang, Cong Shen

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Achieving Linear Speedup in Non-IID Federated Bilevel Learning.

Minhui Huang, Dewei Zhang, Kaiyi Ji

Proceedings of the International Conference on Machine Learning, 2023

Decentralized Stochastic Bilevel Optimization with Improved per-Iteration Complexity.

Xuxing Chen, Minhui Huang, Shiqian Ma, Krishna Balasubramanian

Proceedings of the International Conference on Machine Learning, 2023

2022

Decentralized Stochastic Bilevel Optimization with Improved Per-Iteration Complexity.

Xuxing Chen, Minhui Huang, Shiqian Ma, Krishnakumar Balasubramanian

CoRR, 2022

Efficiently Escaping Saddle Points in Bilevel Optimization.

Minhui Huang, Kaiyi Ji, Shiqian Ma, Lifeng Lai

CoRR, 2022

2021

Robust Low-Rank Matrix Completion via an Alternating Manifold Proximal Gradient Continuation Method.

Minhui Huang, Shiqian Ma, Lifeng Lai

IEEE Trans. Signal Process., 2021

Escaping Saddle Points for Nonsmooth Weakly Convex Functions via Perturbed Proximal Algorithms.

Minhui Huang

CoRR, 2021

Projection Robust Wasserstein Barycenters.

Minhui Huang, Shiqian Ma, Lifeng Lai

Proceedings of the 38th International Conference on Machine Learning, 2021

A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance.

Minhui Huang, Shiqian Ma, Lifeng Lai

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Spatial Co-Location Pattern Mining Based on Hesitant Fuzzy Location.

Minhui Huang, Bo Wei, Zhaowei Liu

Proceedings of the ICITEE2020: The 3rd International Conference on Information Technologies and Electrical Engineering, 2020