Shuo Yang

According to our database, Shuo Yang authored at least 49 papers between 2020 and 2026.

Collaborative distances:

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

2026

Noisy Correspondence Rectification in Multimodal Clustering Space for Cross-Modal Matching.

Shuo Yang, Yancheng Long, Yujie Wei, Zeke Xie, Hongxun Yao, Min Xu, Liqiang Nie

IEEE Trans. Pattern Anal. Mach. Intell., April, 2026

MEGG: replay via maximally extreme GGscore in incremental learning for neural recommendation models.

Yunxiao Shi, Shuo Yang, Haimin Zhang, Li Wang, Yongze Wang, Qiang Wu, Min Xu

Data Min. Knowl. Discov., April, 2026

CRAFT: Aligning Diffusion Models with Fine-Tuning Is Easier Than You Think.

Zening Sun, Zhengpeng Xie, Lichen Bai, Shitong Shao, Shuo Yang, Zeke Xie

CoRR, March, 2026

Guidance Matters: Rethinking the Evaluation Pitfall for Text-to-Image Generation.

Dian Xie, Shitong Shao, Lichen Bai, Zikai Zhou, Bojun Chen, Shuo Yang, Jun Wu, Zeke Xie

CoRR, February, 2026

Optimizing Few-Step Generation with Adaptive Matching Distillation.

Lichen Bai, Zikai Zhou, Shitong Shao, Wenliang Zhong, Shuo Yang, Shuo Chen, Bojun Chen, Zeke Xie

CoRR, February, 2026

Do All Individual Layers Help? An Empirical Study of Task-Interfering Layers in Vision-Language Models.

Zhiming Liu, Yujie Wei, Lei Feng, Xiu Su, Xiaobo Xia, Weili Guan, Zeke Xie, Shuo Yang

CoRR, February, 2026

Learning to Accelerate Vision-Language-Action Models through Adaptive Visual Token Caching.

Yujie Wei, Jiahan Fan, Jiyu Guo, Ruichen Zhen, Rui Shao, Xiu Su, Zeke Xie, Shuo Yang

CoRR, February, 2026

ConLA: Contrastive Latent Action Learning from Human Videos for Robotic Manipulation.

Weisheng Dai, Kai Lan, Jianyi Zhou, Bo Zhao, Xiu Su, Junwen Tong, Weili Guan, Shuo Yang

CoRR, February, 2026

APEX: A Decoupled Memory-based Explorer for Asynchronous Aerial Object Goal Navigation.

Daoxuan Zhang, Ping Chen, Xiaobo Xia, Xiu Su, Ruichen Zhen, Jianqiang Xiao, Shuo Yang

CoRR, February, 2026

Inject Once Survive Later: Backdooring Vision-Language-Action Models to Persist Through Downstream Fine-tuning.

Jianyi Zhou, Yujie Wei, Ruichen Zhen, Bo Zhao, Xiaobo Xia, Rui Shao, Xiu Su, Shuo Yang

CoRR, February, 2026

EgoGrasp: World-Space Hand-Object Interaction Estimation from Egocentric Videos.

Hongming Fu, Wenjia Wang, Xiaozhen Qiao, Shuo Yang, Zheng Liu, Bo Zhao

CoRR, January, 2026

Logic Unseen: Revealing the Logical Blindspots of Vision-Language Models.

Yuchen Zhou, Jiayu Tang, Shuo Yang, Xiaoyan Xiao, Yuqin Dai, Wenhao Yang, Chao Gou, Xiaobo Xia, Tat-Seng Chua

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

HiconAgent: History Context-aware Policy Optimization for GUI Agents.

Xurui Zhou, Gongwei Chen, Yuquan Xie, Zaijing Li, Kaiwen Zhou, Shuai Wang, Shuo Yang, Zhuotao Tian, Rui Shao

CoRR, December, 2025

VLA-Pruner: Temporal-Aware Dual-Level Visual Token Pruning for Efficient Vision-Language-Action Inference.

Ziyan Liu, Yeqiu Chen, Hongyi Cai, Tao Lin, Shuo Yang, Zheng Liu, Bo Zhao

CoRR, November, 2025

Calibrated Multimodal Representation Learning with Missing Modalities.

Xiaohao Liu, Xiaobo Xia, Jiaheng Wei, Shuo Yang, Xiu Su, See-Kiong Ng, Tat-Seng Chua

CoRR, November, 2025

UtilGen: Utility-Centric Generative Data Augmentation with Dual-Level Task Adaptation.

Jiyu Guo, Shuo Yang, Yiming Huang, Yancheng Long, Xiaobo Xia, Xiu Su, Bo Zhao, Zeke Xie, Liqiang Nie

CoRR, October, 2025

Diffusion Dataset Condensation: Training Your Diffusion Model Faster with Less Data.

Rui Huang, Shitong Shao, Zikai Zhou, Pukun Zhao, Hangyu Guo, Tian Ye, Lichen Bai, Shuo Yang, Zeke Xie

CoRR, July, 2025

Visible-Infrared Person Re-Identification With Real-World Label Noise.

Ruiheng Zhang, Zhe Cao, Yan Huang, Shuo Yang, Lixin Xu, Min Xu

IEEE Trans. Circuits Syst. Video Technol., May, 2025

L-MTP: Leap Multi-Token Prediction Beyond Adjacent Context for Large Language Models.

Xiaohao Liu, Xiaobo Xia, Weixiang Zhao, Manyi Zhang, Xianzhi Yu, Xiu Su, Shuo Yang, See-Kiong Ng, Tat-Seng Chua

CoRR, May, 2025

Cognition-Driven Structural Prior for Instance-Dependent Label Transition Matrix Estimation.

Ruiheng Zhang, Zhe Cao, Shuo Yang, Lingyu Si, Haoyang Sun, Lixin Xu, Fuchun Sun

IEEE Trans. Neural Networks Learn. Syst., February, 2025

BOOD: Boundary-based Out-Of-Distribution Data Generation.

Qilin Liao, Shuo Yang, Bo Zhao, Ping Luo, Hengshuang Zhao

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Stable Fair Graph Representation Learning with Lipschitz Constraint.

Qiang Chen, Zhongze Wu, Xiu Su, Xi Lin, Zhe Qu, Shan You, Shuo Yang, Chang Xu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Learning from Ambiguous Data with Hard Labels.

Zeke Xie, Zheng He, Nan Lu, Lichen Bai, Bao Li, Shuo Yang, Mingming Sun, Ping Li

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

U²D²Net: Unsupervised Unified Image Dehazing and Denoising Network for Single Hazy Image Enhancement.

Bosheng Ding, Ruiheng Zhang, Lixin Xu, Guanyu Liu, Shuo Yang, Yumeng Liu, Qi Zhang

IEEE Trans. Multim., 2024

Data-efficient Fine-tuning for LLM-based Recommendation.

Xinyu Lin, Wenjie Wang, Yongqi Li, Shuo Yang, Fuli Feng, Yinwei Wei, Tat-Seng Chua

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Concentrating Estimation Attention: Human Prior Constrained Methods for Robust Classification.

Zhe Cao, Shuo Yang, Yumeng Liu, Xiaofeng Xu, Hongbin Pei, Yan Huang, Yushu Yu, Ruiheng Zhang

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Mind the Boundary: Coreset Selection via Reconstructing the Decision Boundary.

Shuo Yang, Zhe Cao, Sheng Guo, Ruiheng Zhang, Ping Luo, Shengping Zhang, Liqiang Nie

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

Revisiting Context Aggregation for Image Matting.

Qinglin Liu, Xiaoqian Lv, Quanling Meng, Zonglin Li, Xiangyuan Lan, Shuo Yang, Shengping Zhang, Liqiang Nie

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

2023

A Parametrical Model for Instance-Dependent Label Noise.

Shuo Yang, Songhua Wu, Erkun Yang, Bo Han, Yang Liu, Min Xu, Gang Niu, Tongliang Liu

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Adversarial Recurrent Time Series Imputation.

Shuo Yang, Minjing Dong, Yunhe Wang, Chang Xu

IEEE Trans. Neural Networks Learn. Syst., April, 2023

Towards Efficient Robotic Software Development by Reusing Behavior Tree Structures for Task Planning Paradigms.

Shuo Yang, Qi Zhang

Complex Syst. Model. Simul., 2023

Dataset Pruning: Reducing Training Data by Examining Generalization Influence.

Shuo Yang, Zeke Xie, Hanyu Peng, Min Xu, Mingming Sun, Ping Li

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Speech4Mesh: Speech-Assisted Monocular 3D Facial Reconstruction for Speech-Driven 3D Facial Animation.

Shan He, Haonan He, Shuo Yang, Xiaoyan Wu, Pengcheng Xia, Bing Yin, Cong Liu, Lirong Dai, Chang Xu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

BiCro: Noisy Correspondence Rectification for Multi-modality Data via Bi-directional Cross-modal Similarity Consistency.

Shuo Yang, Zhaopan Xu, Kai Wang, Yang You, Hongxun Yao, Tongliang Liu, Min Xu

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

2022

Bridging the Gap Between Few-Shot and Many-Shot Learning via Distribution Calibration.

Shuo Yang, Songhua Wu, Tongliang Liu, Min Xu

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Graph-based few-shot learning with transformed feature propagation and optimal class allocation.

Ruiheng Zhang, Shuo Yang, Qi Zhang, Lixin Xu, Yang He, Fan Zhang

Neurocomputing, 2022

An efficient multitask neural network for face alignment, head pose estimation and face tracking.

Jiahao Xia, Haimin Zhang, Shiping Wen, Shuo Yang, Min Xu

Expert Syst. Appl., 2022

Reliable Label Correction is a Good Booster When Learning with Extremely Noisy Labels.

Kai Wang, Xiangyu Peng, Shuo Yang, Jianfei Yang, Zheng Zhu, Xinchao Wang, Yang You

CoRR, 2022

Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network.

Shuo Yang, Erkun Yang, Bo Han, Yang Liu, Min Xu, Gang Niu, Tongliang Liu

Proceedings of the International Conference on Machine Learning, 2022

Objects in Semantic Topology.

Shuo Yang, Peize Sun, Yi Jiang, Xiaobo Xia, Ruiheng Zhang, Zehuan Yuan, Changhu Wang, Ping Luo, Min Xu

Proceedings of the Tenth International Conference on Learning Representations, 2022

Self-Attention Gated Cognitive Diagnosis For Faster Adaptive Educational Assessments.

Xiaohuan Pei, Shuo Yang, Jiajun Huang, Chang Xu

Proceedings of the IEEE International Conference on Data Mining, 2022

One Size Does NOT Fit All: Data-Adaptive Adversarial Training.

Shuo Yang, Chang Xu

Proceedings of the Computer Vision - ECCV 2022, 2022

CAFE: Learning to Condense Dataset by Aligning Features.

Kai Wang, Bo Zhao, Xiangyu Peng, Zheng Zhu, Shuo Yang, Shuo Wang, Guan Huang, Hakan Bilen, Xinchao Wang, Yang You

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Estimating Instance-dependent Label-noise Transition Matrix using DNNs.

Shuo Yang, Erkun Yang, Bo Han, Yang Liu, Min Xu, Gang Niu, Tongliang Liu

CoRR, 2021

Free Lunch for Few-shot Learning: Distribution Calibration.

Shuo Yang, Lu Liu, Min Xu

Proceedings of the 9th International Conference on Learning Representations, 2021

Structure-Aware Stabilization of Adversarial Robustness with Massive Contrastive Adversaries.

Shuo Yang, Zeyu Feng, Pei Du, Bo Du, Chang Xu

Proceedings of the IEEE International Conference on Data Mining, 2021

Single-View 3D Object Reconstruction From Shape Priors in Memory.

Shuo Yang, Min Xu, Haozhe Xie, Stuart W. Perry, Jiahao Xia

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Adversarial Robustness through Disentangled Representations.

Shuo Yang, Tianyu Guo, Yunhe Wang, Chang Xu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Meta3D: Single-View 3D Object Reconstruction from Shape Priors in Memory.

Shuo Yang, Min Xu, Hongxun Yao

CoRR, 2020