Xuyang Shen

According to our database, Xuyang Shen authored at least 29 papers between 2020 and 2026.

Collaborative distances:

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

2026

Uncertainty-Guided Latent Diagnostic Trajectory Learning for Sequential Clinical Diagnosis.

Xuyang Shen, Haoran Liu, Dongjin Song, Martin Renqiang Min

CoRR, April, 2026

FlashSampling: Fast and Memory-Efficient Exact Sampling.

Tomas Ruiz, Zhen Qin, Yifan Zhang, Xuyang Shen, Yiran Zhong, Meng Wang

CoRR, March, 2026

What Does Vision Tool-Use Reinforcement Learning Really Learn? Disentangling Tool-Induced and Intrinsic Effects for Crop-and-Zoom.

Yan Ma, Weiyu Zhang, Tianle Li, Linge Du, Xuyang Shen, Pengfei Liu

CoRR, February, 2026

Empowering Power Outage Prediction with Spatially Aware Hybrid Graph Neural Networks and Contrastive Learning.

Xuyang Shen, Zijie Pan, Diego Cerrai, Xinxuan Zhang, Christopher Colorio, Emmanouil N. Anagnostou, Dongjin Song

Trans. Mach. Learn. Res., 2026

2025

Elucidating the Design Space of Decay in Linear Attention.

Zhen Qin, Xuyang Shen, Yiran Zhong

CoRR, September, 2025

Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective.

Yuxin Mao, Zhen Qin, Jinxing Zhou, Hui Deng, Xuyang Shen, Bin Fan, Jing Zhang, Yiran Zhong, Yuchao Dai

CoRR, July, 2025

One RL to See Them All: Visual Triple Unified Reinforcement Learning.

Yan Ma, Linge Du, Xuyang Shen, Shaoxiang Chen, Pengfei Li, Qibing Ren, Lizhuang Ma, Yuchao Dai, Pengfei Liu, Junjie Yan

CoRR, May, 2025

Audio-Visual Segmentation with Semantics.

Jinxing Zhou, Xuyang Shen, Jianyuan Wang, Jiayi Zhang, Weixuan Sun, Jing Zhang, Stan Birchfield, Dan Guo, Lingpeng Kong, Meng Wang, Yiran Zhong

Int. J. Comput. Vis., April, 2025

Rethinking RL Scaling for Vision Language Models: A Transparent, From-Scratch Framework and Comprehensive Evaluation Scheme.

Yan Ma, Steffi Chern, Xuyang Shen, Yiran Zhong, Pengfei Liu

CoRR, April, 2025

LASP: Linear Attention Sequence Parallelism.

Weigao Sun, Zhen Qin, Dong Li, Xuyang Shen, Yu Qiao, Yiran Zhong

Trans. Mach. Learn. Res., 2025

Multi-modal Time Series Analysis: A Tutorial and Survey.

Yushan Jiang, Kanghui Ning, Zijie Pan, Xuyang Shen, Jingchao Ni, Wenchao Yu, Anderson Schneider, Haifeng Chen, Yuriy Nevmyvaka, Dongjin Song

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

2024

You Only Scan Once: Efficient Multi-dimension Sequential Modeling with LightNet.

Zhen Qin, Yuxin Mao, Xuyang Shen, Dong Li, Jing Zhang, Yuchao Dai, Yiran Zhong

CoRR, 2024

Unlocking the Secrets of Linear Complexity Sequence Model from A Unified Perspective.

Zhen Qin, Xuyang Shen, Dong Li, Weigao Sun, Stan Birchfield, Richard I. Hartley, Yiran Zhong

CoRR, 2024

HGRN2: Gated Linear RNNs with State Expansion.

Zhen Qin, Songlin Yang, Weixuan Sun, Xuyang Shen, Dong Li, Weigao Sun, Yiran Zhong

CoRR, 2024

Linear Attention Sequence Parallelism.

Weigao Sun, Zhen Qin, Dong Li, Xuyang Shen, Yu Qiao, Yiran Zhong

CoRR, 2024

Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models.

Zhen Qin, Weigao Sun, Dong Li, Xuyang Shen, Weixuan Sun, Yiran Zhong

CoRR, 2024

TAVGBench: Benchmarking Text to Audible-Video Generation.

Yuxin Mao, Xuyang Shen, Jing Zhang, Zhen Qin, Jinxing Zhou, Mochu Xiang, Yiran Zhong, Yuchao Dai

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Various Lengths, Constant Speed: Efficient Language Modeling with Lightning Attention.

Zhen Qin, Weigao Sun, Dong Li, Xuyang Shen, Weixuan Sun, Yiran Zhong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

CO2: Efficient Distributed Training with Full Communication-Computation Overlap.

Weigao Sun, Zhen Qin, Weixuan Sun, Shidi Li, Dong Li, Xuyang Shen, Yu Qiao, Yiran Zhong

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Scaling Laws for Linear Complexity Language Models.

Xuyang Shen, Dong Li, Ruitao Leng, Zhen Qin, Weigao Sun, Yiran Zhong

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Scaling TransNormer to 175 Billion Parameters.

Zhen Qin, Dong Li, Weigao Sun, Weixuan Sun, Xuyang Shen, Xiaodong Han, Yunshen Wei, Baohong Lv, Fei Yuan, Xiao Luo, Yu Qiao, Yiran Zhong

CoRR, 2023

Fine-grained Audible Video Description.

Xuyang Shen, Dong Li, Jinxing Zhou, Zhen Qin, Bowen He, Xiaodong Han, Aixuan Li, Yuchao Dai, Lingpeng Kong, Meng Wang, Yu Qiao, Yiran Zhong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Linear Video Transformer with Feature Fixation.

Kaiyue Lu, Zexiang Liu, Jianyuan Wang, Weixuan Sun, Zhen Qin, Dong Li, Xuyang Shen, Hui Deng, Xiaodong Han, Yuchao Dai, Yiran Zhong

CoRR, 2022

AMF: Adaptable Weighting Fusion with Multiple Fine-tuning for Image Classification.

Xuyang Shen, Jo Plested, Sabrina B. Caldwell, Yiran Zhong, Tom Gedeon

CoRR, 2022

2021

Feature Selection on Thermal-stress Dataset.

Xuyang Shen, Jo Plested, Tom Gedeon

CoRR, 2021

Non-binary deep transfer learning for imageclassification.

Jo Plested, Xuyang Shen, Tom Gedeon

CoRR, 2021

Exploring Biases and Prejudice of Facial Synthesis via Semantic Latent Space.

Xuyang Shen, Jo Plested, Sabrina B. Caldwell, Tom Gedeon

Proceedings of the International Joint Conference on Neural Networks, 2021

Rethinking Binary Hyperparameters for Deep Transfer Learning.

Jo Plested, Xuyang Shen, Tom Gedeon

Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020

Pairwise-GAN: Pose-Based View Synthesis Through Pair-Wise Training.

Xuyang Shen, Jo Plested, Yue Yao, Tom Gedeon

Proceedings of the Neural Information Processing - 27th International Conference, 2020