Yuxuan Tian

According to our database, Yuxuan Tian authored at least 34 papers between 2009 and 2026.

Collaborative distances:

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

2026

Harness-Bench: Measuring Harness Effects across Models in Realistic Agent Workflows.

Yilun Yao, Xinyu Tan, Chao-Hsuan Liu, Yaoming Li, Zhengyang Wang, Wenhan Yu, Zhewen Tan, Yuxuan Tian, Guangxiang Zhao, Lin Sun, Xiangzheng Zhang, Tong Yang

CoRR, May, 2026

PhysBrain 1.0 Technical Report.

Shijie Lian, Bin Yu, Xiaopeng Lin, Changti Wu, Hang Yuan, Xiaolin Hu, Zhaolong Shen, Yuzhuo Miao, Haishan Liu, Yuxuan Tian, Yukun Shi, Cong Huang, Kai Chen

CoRR, May, 2026

SHM-Agents: A Generalist-Specialist Integrated Agent System for Structural Health Monitoring.

Yuequan Bao, Xing Li, Huabin Sun, Dawei Liu, Yuxuan Tian, Haiyang Hu

CoRR, May, 2026

STARRY: Spatial-Temporal Action-Centric World Modeling for Robotic Manipulation.

Yuxuan Tian, Yurun Jin, Bin Yu, Yukun Shi, Hao Wu, Chi Harold Liu, Kai Chen, Cong Huang

CoRR, April, 2026

FedNSAM:Consistency of Local and Global Flatness for Federated Learning.

Junkang Liu, Fanhua Shang, Yuxuan Tian, Hongying Liu, Yuanyuan Liu

CoRR, February, 2026

Beyond Parameter Arithmetic: Sparse Complementary Fusion for Distribution-Aware Model Merging.

Weihong Lin, Lin Sun, Qilong Shi, Aomufei Yuan, Yuxuan Tian, Zhengyang Wang, Guangxiang Zhao, Xiangzheng Zhang, Tong Yang

CoRR, February, 2026

KeepKV: Achieving Periodic Lossless KV Cache Compression for Efficient LLM Inference.

Yuxuan Tian, Zihan Wang, Yebo Peng, Aomufei Yuan, Zhiming Wang, Bairen Yi, Xin Liu, Yong Cui, Tong Yang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models.

Junkang Liu, Fanhua Shang, Hongying Liu, Yuxuan Tian, Yuanyuan Liu, Jin Liu, Kewen Zhu, Zhouchen Lin

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

KVReviver: Reversible KV Cache Compression with Sketch-Based Token Reconstruction.

Aomufei Yuan, Zhiming Wang, Ruijie Miao, Dayu Wang, Yuxuan Tian, Zihan Wang, Yebo Peng, Yuhan Wu, Bairen Yi, Xin Liu, Tong Yang

CoRR, December, 2025

Scaling Up AI-Generated Image Detection via Generator-Aware Prototypes.

Ziheng Qin, Yuheng Ji, Renshuai Tao, Yuxuan Tian, Yuyang Liu, Yipu Wang, Xiaolong Zheng

CoRR, December, 2025

Towards Cross-View Point Correspondence in Vision-Language Models.

Yipu Wang, Yuheng Ji, Yuyang Liu, Enshen Zhou, Ziqiang Yang, Yuxuan Tian, Ziheng Qin, Yue Liu, Huajie Tan, Cheng Chi, Zhiyuan Ma, Daniel Dajun Zeng, Xiaolong Zheng

CoRR, December, 2025

AoI-Aware Air-Ground Mobile Crowdsensing by Multi-Agent Curriculum Learning With Collaborative Observation Augmentation.

Yuxiao Ye, Yuxuan Tian, Chi Harold Liu, Linkang Dong, Guangpeng Qi, Dapeng Oliver Wu

IEEE Trans. Mob. Comput., November, 2025

DP-FedPGN: Finding Global Flat Minima for Differentially Private Federated Learning via Penalizing Gradient Norm.

Junkang Liu, Yuxuan Tian, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Junchao Zhou, Ding Daorui

CoRR, October, 2025

Detecting Flow Gaps in Data Streams.

Siyuan Dong, Yuxuan Tian, Wenhan Ma, Tong Yang, Chenye Zhang, Yuhan Wu, Kaicheng Yang, Yaojing Wang

CoRR, May, 2025

ResidualSketch: Enhancing Layer Efficiency and Error Reduction in Hierarchical Heavy Hitter Detection with ResNet Innovations.

Xilai Liu, Yuxuan Tian, Xiangyuan Wang, Yuhan Wu, Wenhao Wu, Tong Yang, Gaogang Xie

CoRR, May, 2025

Hidden Sketch: A Space-Efficient Reversible Sketch for Tracking Frequent Items in Data Streams.

Zicang Xu, Yuxuan Tian, Yuhan Wu, Tong Yang

CoRR, May, 2025

KeepKV: Eliminating Output Perturbation in KV Cache Compression for Efficient LLMs Inference.

Yuxuan Tian, Zihan Wang, Yebo Peng, Aomufei Yuan, Zhiming Wang, Bairen Yi, Xin Liu, Yong Cui, Tong Yang

CoRR, April, 2025

FairKV: Balancing Per-Head KV Cache for Fast Multi-GPU Inference.

Bingzhe Zhao, Ke Cheng, Aomufei Yuan, Yuxuan Tian, Ruiguang Zhong, Chengchen Hu, Tong Yang, Lian Yu

CoRR, February, 2025

Towards a physical imaging-driven sparse attention dehazer for Internet of Things-aided Maritime Intelligent Transportation.

Yuxuan Tian, Yu Guo, Yuxu Lu, Yuan Gao, Ryan Wen Liu

Comput. Electr. Eng., 2025

sEMG-DGCN: Directed Graph Convolutional Network for Rehabilitation Action Difficulty Assessment Based on sEMG.

Yuxuan Tian, Zhuangzhuang Li, Xuefeng Feng, Ji Wu, Chenyi Guo, Ye Ma, Dongwei Liu, Jian Ning

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

Consistency of Local and Global Flatness for Federated Learning.

Junkang Liu, Fanhua Shang, Yuxuan Tian, Hongying Liu, Yuanyuan Liu

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Measuring Item Freshness in Data Streams.

Zirui Liu, Zihan Jiang, An Zhang, Zhouran Shi, Yuxuan Tian, Tong Yang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Approaching 100% Confidence in Stream Summary through ReliableSketch.

Yuhan Wu, Hanbo Wu, Xilai Liu, Yuxuan Tian, Yikai Zhao, Tong Yang, Rui Qiu, Kaicheng Yang, Sha Wang, Tao Li, Lihua Miao, Gaogang Xie

Proceedings of the 2025 ACM Internet Measurement Conference, 2025

SEmgFormer: Muscle Synergy Channel Attention Enhanced Vision Transformer Network For sEMG Motion Recognition Using STFT Spectrogram.

Zhuangzhuang Li, Yuxuan Tian, Chenyi Guo, Ji Wu

Proceedings of the International Joint Conference on Neural Networks, 2025

MixCoT-SQL: A User-Adaptive Text-to-SQL Framework Based on Mixed Chain-of-Thought and Result Reflection Refinement.

Dingwei Liu, Yan Wang, Yuxuan Tian, Zhiqiang Zeng, Su Liu, Weipeng Zheng, Yufeng Xiao

Proceedings of the IEEE International Conference on Big Data, 2025

2024

An adaptive structural dominant failure modes searching method based on graph neural network.

Yuxuan Tian, Xiaoshu Guan, Huabin Sun, Yuequan Bao

Reliab. Eng. Syst. Saf., March, 2024

An active learning method using deep adversarial autoencoder-based sufficient dimension reduction neural network for high-dimensional reliability analysis.

Yuequan Bao, Huabin Sun, Xiaoshu Guan, Yuxuan Tian

Reliab. Eng. Syst. Saf., 2024

Prediction Is All MoE Needs: Expert Load Distribution Goes from Fluctuating to Stabilizing.

Peizhuang Cong, Aomufei Yuan, Shimao Chen, Yuxuan Tian, Bowen Ye, Tong Yang

CoRR, 2024

Design of novel deformable mirror with large displacement.

Jinchao Li, Yuxuan Tian, Jindong Wang, Jinling Yang, Yinfang Zhu, Xuemin Cheng, Qun Hao

Concurr. Comput. Pract. Exp., 2024

2023

DBMLSched: Scheduling In-database Machine Learning Jobs.

Yunjia Zheng, Yuxuan Tian, Joseph Vinish D'silva, Bettina Kemme

Proceedings of the Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28, 2023

ProGroTrack: Deep Learning-Assisted Tracking of Intracellular Protein Growth Dynamics.

Kai San Chan, Huimiao Chen, Chenyu Jin, Yuxuan Tian, Dingchang Lin

Proceedings of the 16th International Congress on Image and Signal Processing, 2023

2022

Fake News Identification using Machine Learning Algorithms Based on Graph Features.

Yuxuan Tian

CoRR, 2022

Transwarp ArgoDB: A Distributed Flash Database.

Changchun Zhang, Cheng Lv, Zhenqiang Chen, Yucheng Lu, Yuxuan Tian, Jiabao Wu, Hongshan Yang

Proceedings of the 7th IEEE International Conference on Smart Cloud, SmartCloud 2022, 2022

2009

Self-similarity Clustering Event Detection Based on Triggers Guidance.

Xianfei Zhang, Bicheng Li, Yuxuan Tian

Proceedings of the Web Information Systems and Mining, International Conference, 2009