Xuxing Chen

According to our database, Xuxing Chen authored at least 23 papers between 2018 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

2025

CoFiRec: Coarse-to-Fine Tokenization for Generative Recommendation.

Tianxin Wei, Xuying Ning, Xuxing Chen, Ruizhong Qiu, Yupeng Hou, Yan Xie, Shuang Yang, Zhigang Hua, Jingrui He

CoRR, November, 2025

Tree Training: Accelerating Agentic LLMs Training via Shared Prefix Reuse.

Shaojie Wang, Jinghui Wang, Yinghan Cui, Xuxing Chen, Chao Wang, Liang Huang, Xiaojiang Zhang, Junyi Peng, Li Wan, Haotian Zhang, Bin Chen

CoRR, November, 2025

KAT-Coder Technical Report.

Zizheng Zhan, Ken Deng, Jinghui Wang, Xiaojiang Zhang, Huaixi Tang, Minglei Zhang, Zhiyi Lai, Haoyang Huang, Wen Xiang, Kun Wu, Wenhao Zhuang, Shaojie Wang, Shangpeng Yan, Kepeng Lei, Zong-Xian Feng, Huiming Wang, Zheng Lin, Mengtong Li, Mengfei Xie, Yinghan Cui, Xuxing Chen, Chao Wang, Weihao Li, Wenqiang Zhu, Jiarong Zhang, Jingxuan Xu, Songwei Yu, Yifan Yao, Xinping Lei, C. Zhang, Han Li, Junqi Xiong, Zuchen Gao, Dailin Li, Haimo Li, Jiaheng Liu, Yuqun Zhang, Junyi Peng, Haotian Zhang, Bin Chen

CoRR, October, 2025

SeamlessFlow: A Trainer Agent Isolation RL Framework Achieving Bubble-Free Pipelines via Tag Scheduling.

Jinghui Wang, Shaojie Wang, Yinghan Cui, Xuxing Chen, Chao Wang, Xiaojiang Zhang, Minglei Zhang, Jiarong Zhang, Wenhao Zhuang, Yuchen Cao, Wankang Bao, Haimo Li, Zheng Lin, Huiming Wang, Haoyang Huang, Zong-Xian Feng, Zizheng Zhan, Ken Deng, Wen Xiang, Huaixi Tang, Kun Wu, Mengtong Li, Mengfei Xie, Junyi Peng, Haotian Zhang, Bin Chen, Bing Yu

CoRR, August, 2025

KAT-V1: Kwai-AutoThink Technical Report.

Zizheng Zhan, Ken Deng, Huaixi Tang, Wen Xiang, Kun Wu, Weihao Li, Wenqiang Zhu, Jingxuan Xu, Lecheng Huang, Zong-Xian Feng, Shaojie Wang, Shangpeng Yan, Xuxing Chen, Jiaheng Liu, Zhongyuan Peng, Zuchen Gao, Haoyang Huang, Xiaojiang Zhang, Jinghui Wang, Zheng Lin, Mengtong Li, Huiming Wang, Ziqi Zhan, Yanan Wu, Yuanxing Zhang, Jian Yang, Guang Chen, Haotian Zhang, Bin Chen, Bing Yu

CoRR, July, 2025

Fully First-Order Methods for DecentralizedBilevel Optimization.

Xiaoyu Wang, Xuxing Chen, Shiqian Ma, Tong Zhang

IEEE Trans. Signal Process., 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

2024

Stochastic Optimization for Machine Learning: Investigations on Bilevel Optimization and Large Learning Rates

Xuxing Chen

PhD thesis, 2024

From Stability to Chaos: Analyzing Gradient Descent Dynamics in Quadratic Regression.

Xuxing Chen, Krishna Balasubramanian, Promit Ghosal, Bhavya Agrawalla

Trans. Mach. Learn. Res., 2024

Optimal Algorithms for Stochastic Bilevel Optimization under Relaxed Smoothness Conditions.

Xuxing Chen, Tesi Xiao, Krishnakumar Balasubramanian

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

Fully First-Order Methods for Decentralized Bilevel Optimization.

Xiaoyu Wang, Xuxing Chen, Shiqian Ma, Tong Zhang

CoRR, 2024

Problem-Parameter-Free Decentralized Nonconvex Stochastic Optimization.

Jiaxiang Li, Xuxing Chen, Shiqian Ma, Mingyi Hong

CoRR, 2024

Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data.

Xuxing Chen, Abhishek Roy, Yifan Hu, Krishnakumar Balasubramanian

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

From Stability to Chaos: Analyzing Gradient Descent Dynamics in Quadratic Regression.

Xuxing Chen, Krishnakumar Balasubramanian, Promit Ghosal, Bhavya Agrawalla

CoRR, 2023

Stochastic Nested Compositional Bi-level Optimization for Robust Feature Learning.

Xuxing Chen, Krishnakumar Balasubramanian, Saeed Ghadimi

CoRR, 2023

A one-sample decentralized proximal algorithm for non-convex stochastic composite optimization.

Tesi Xiao, Xuxing Chen, Krishnakumar Balasubramanian, Saeed Ghadimi

Proceedings of the Uncertainty in Artificial Intelligence, 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

2020

Pipeline-Based Chunk Scheduling to Improve ABR Performance in DASH System.

Weihe Li, Jiawei Huang, Shaojun Zou, Zhuoran Liu, Qichen Su, Xuxing Chen, Jianxin Wang

Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

2018

A two-step decorrelation method on time-frequency correlated channel for secret key generation.

Zijie Ji, Zunwen He, Yan Zhang, Xuxing Chen

Proceedings of the 2018 IEEE Wireless Communications and Networking Conference, 2018