Yang, Shuo

81 publications

ICLR 2026 AMLRIS: Alignment-Aware Masked Learning for Referring Image Segmentation Tongfei Chen, Shuo Yang, Yuguang Yang, Linlin Yang, Runtang Guo, Changbai Li, He Long, Chunyu Xie, Dawei Leng, Baochang Zhang

ICLR 2026 Guidance Matters: Rethinking the Evaluation Pitfall for Text-to-Image Generation Dian Xie, Shitong Shao, Lichen Bai, Zikai Zhou, Bojun Cheng, Shuo Yang, Wu Jun, Zeke Xie

ICLR 2026 SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse–Linear Attention Jintao Zhang, Haoxu Wang, Kai Jiang, Shuo Yang, Kaiwen Zheng, Haocheng Xi, Ziteng Wang, Hongzhou Zhu, Min Zhao, Ion Stoica, Joseph E. Gonzalez, Jianfei Chen, Jun Zhu

ICLR 2026 Sparse but Critical: A Token-Level Analysis of Distributional Shifts in RLVR Fine-Tuning of LLMs Haoming Meng, Kexin Huang, Shaohang Wei, Chiyu Ma, Shuo Yang, Xue Wang, Guoyin Wang, Bolin Ding, Jingren Zhou

ICLR 2026 ToolTree: Efficient LLM Tool Planning via Dual-Feedback Monte Carlo Tree Search and Bidirectional Pruning Shuo Yang, Caren Han, Yihao Ding, Shuhe Wang, Eduard Hovy

ICLR 2026 Training-Free Loosely Speculative Decoding: Accepting Semantically Correct Drafts Beyond Exact Match Jinze Li, Yixing Xu, Guanchen Li, Shuo Yang, Jinfeng Xu, Xuanwu Yin, Dong Li, Edith C. H. Ngai, Emad Barsoum

ICLR 2026 vAttention: Verified Sparse Attention via Sampling Aditya Desai, Kumar Krishna Agrawal, Shuo Yang, Alejandro Cuadron, Luis Gaspar Schroeder, Matei Zaharia, Joseph E. Gonzalez, Ion Stoica

ICML 2025 BOOD: Boundary-Based Out-of-Distribution Data Generation Qilin Liao, Shuo Yang, Bo Zhao, Ping Luo, Hengshuang Zhao

NeurIPS 2025 CoT-Lized Diffusion: Let's Reinforce T2I Generation Step-by-Step Zheyuan Liu, Munan Ning, Qihui Zhang, Shuo Yang, Zhongrui Wang, Yiwei Yang, Xianzhe Xu, Yibing Song, Weihua Chen, Fan Wang, Li Yuan

ICML 2025 HashAttention: Semantic Sparsity for Faster Inference Aditya Desai, Shuo Yang, Alejandro Cuadron, Matei Zaharia, Joseph E. Gonzalez, Ion Stoica

NeurIPS 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

ICCV 2025 LLM-Enhanced Action-Aware Multi-Modal Prompt Tuning for Image-Text Matching Mengxiao Tian, Xinxiao Wu, Shuo Yang

AAAI 2025 MENTOR: Multi-Level Self-Supervised Learning for Multimodal Recommendation Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Hewei Wang, Edith C. H. Ngai

IJCAI 2025 METOR: A Unified Framework for Mutual Enhancement of Objects and Relationships in Open-Vocabulary Video Visual Relationship Detection Yongqi Wang, Xinxiao Wu, Shuo Yang

AAAI 2025 Multimodal Commonsense Knowledge Distillation for Visual Question Answering (Student Abstract) Shuo Yang, Siwen Luo, Soyeon Caren Han

ICLR 2025 Neural Networks on Symmetric Spaces of Noncompact Type Xuan Son Nguyen, Shuo Yang, Aymeric Histace

ICLR 2025 PiCO: Peer Review in LLMs Based on Consistency Optimization Kun-Peng Ning, Shuo Yang, Yuyang Liu, Jia-Yu Yao, Zhenhui Liu, Yonghong Tian, Yibing Song, Li Yuan

AAAI 2025 RAZOR: Sharpening Knowledge by Cutting Bias with Unsupervised Text Rewriting Shuo Yang, Bardh Prenkaj, Gjergji Kasneci

NeurIPS 2025 Radial Attention: $\mathcal{O}(n\log N)$ Sparse Attention with Energy Decay for Long Video Generation Xingyang Li, Muyang Li, Tianle Cai, Haocheng Xi, Shuo Yang, Yujun Lin, Lvmin Zhang, Songlin Yang, Jinbo Hu, Kelly Peng, Maneesh Agrawala, Ion Stoica, Kurt Keutzer, Song Han

ICML 2025 SCISSOR: Mitigating Semantic Bias Through Cluster-Aware Siamese Networks for Robust Classification Shuo Yang, Bardh Prenkaj, Gjergji Kasneci

L4DC 2025 STLGame: Signal Temporal Logic Games in Adversarial Multi-Agent Systems Shuo Yang, Hongrui Zheng, Cristian-Ioan Vasile, George Pappas, Rahul Mangharam

ICML 2025 Sparse Video-Gen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Haocheng Xi, Shuo Yang, Yilong Zhao, Chenfeng Xu, Muyang Li, Xiuyu Li, Yujun Lin, Han Cai, Jintao Zhang, Dacheng Li, Jianfei Chen, Ion Stoica, Kurt Keutzer, Song Han

NeurIPS 2025 Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Shuo Yang, Haocheng Xi, Yilong Zhao, Muyang Li, Jintao Zhang, Han Cai, Yujun Lin, Xiuyu Li, Chenfeng Xu, Kelly Peng, Jianfei Chen, Song Han, Kurt Keutzer, Ion Stoica

ICML 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

NeurIPS 2025 Twilight: Adaptive Attention Sparsity with Hierarchical Top-$p$ Pruning Chaofan Lin, Jiaming Tang, Shuo Yang, Hanshuo Wang, Tian Tang, Boyu Tian, Ion Stoica, Song Han, Mingyu Gao

CVPR 2025 UPME: An Unsupervised Peer Review Framework for Multimodal Large Language Model Evaluation Qihui Zhang, Munan Ning, Zheyuan Liu, Yue Huang, Shuo Yang, Yanbo Wang, Jiayi Ye, Xiao Chen, Yibing Song, Li Yuan

NeurIPS 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

AAAI 2025 Video Summarization Using Denoising Diffusion Probabilistic Model Zirui Shang, Yubo Zhu, Hongxi Li, Shuo Yang, Xinxiao Wu

NeurIPS 2025 WorldModelBench: Judging Video Generation Models as World Models Dacheng Li, Yunhao Fang, Yukang Chen, Shuo Yang, Shiyi Cao, Justin Wong, Michael Luo, Xiaolong Wang, Hongxu Yin, Joseph E. Gonzalez, Ion Stoica, Song Han, Yao Lu

ACML 2024 Improve Diverse Commonsense Generation by Enhancing Subgraphs Jianman Tan, Shuo Yang

CVPRW 2024 Large-Scale Dataset Pruning with Dynamic Uncertainty Muyang He, Shuo Yang, Tiejun Huang, Bo Zhao

ICLR 2024 Matrix Manifold Neural Networks++ Xuan Son Nguyen, Shuo Yang, Aymeric Histace

ICML 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

AAAI 2024 Multi-Modal Prompting for Open-Vocabulary Video Visual Relationship Detection Shuo Yang, Yongqi Wang, Xiaofeng Ji, Xinxiao Wu

ICML 2024 Revisiting Context Aggregation for Image Matting Qinglin Liu, Xiaoqian Lv, Quanling Meng, Zonglin Li, Xiangyuan Lan, Shuo Yang, Shengping Zhang, Liqiang Nie

CVPR 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

ICML 2023 Building Neural Networks on Matrix Manifolds: A Gyrovector Space Approach Xuan Son Nguyen, Shuo Yang

ICMLW 2023 Contextual Set Selection Under Human Feedback with Model Misspecification Shuo Yang, Rajat Sen, Sujay Sanghavi

ICLR 2023 Dataset Pruning: Reducing Training Data by Examining Generalization Influence Shuo Yang, Zeke Xie, Hanyu Peng, Min Xu, Mingming Sun, Ping Li

ICCV 2023 Improving Lens Flare Removal with General-Purpose Pipeline and Multiple Light Sources Recovery Yuyan Zhou, Dong Liang, Songcan Chen, Sheng-Jun Huang, Shuo Yang, Chongyi Li

CVPR 2023 Learning Imbalanced Data with Vision Transformers Zhengzhuo Xu, Ruikang Liu, Shuo Yang, Zenghao Chai, Chun Yuan

ICCV 2023 PPR: Physically Plausible Reconstruction from Monocular Videos Gengshan Yang, Shuo Yang, John Z. Zhang, Zachary Manchester, Deva Ramanan

AISTATS 2023 Sample Efficiency of Data Augmentation Consistency Regularization Shuo Yang, Yijun Dong, Rachel Ward, Inderjit S. Dhillon, Sujay Sanghavi, Qi Lei

ICCV 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

ICMLW 2023 UCB Provably Learns from Inconsistent Human Feedback Shuo Yang, Tongzheng Ren, Inderjit S Dhillon, Sujay Sanghavi

CVPR 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

IJCAI 2022 Entity-Aware and Motion-Aware Transformers for Language-Driven Action Localization Shuo Yang, Xinxiao Wu

ICML 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

ICML 2022 Linear Bandit Algorithms with Sublinear Time Complexity Shuo Yang, Tongzheng Ren, Sanjay Shakkottai, Eric Price, Inderjit S. Dhillon, Sujay Sanghavi

ICLR 2022 Objects in Semantic Topology Shuo Yang, Peize Sun, Yi Jiang, Xiaobo Xia, Ruiheng Zhang, Zehuan Yuan, Changhu Wang, Ping Luo, Min Xu

ECCV 2022 One Size Does NOT Fit All: Data-Adaptive Adversarial Training Shuo Yang, Chang Xu

ECCV 2022 PartImageNet: A Large, High-Quality Dataset of Parts Ju He, Shuo Yang, Shaokang Yang, Adam Kortylewski, Xiaoding Yuan, Jie-Neng Chen, Shuai Liu, Cheng Yang, Qihang Yu, Alan Yuille

AAAI 2022 Semantically Contrastive Learning for Low-Light Image Enhancement Dong Liang, Ling Li, Mingqiang Wei, Shuo Yang, Liyan Zhang, Wenhan Yang, Yun Du, Huiyu Zhou

NeurIPS 2022 Toward Understanding Privileged Features Distillation in Learning-to-Rank Shuo Yang, Sujay Sanghavi, Holakou Rahmanian, Jan Bakus, S. V. N. Vishwanathan

CoRL 2022 Towards Online 3D Bin Packing: Learning Synergies Between Packing and Unpacking via DRL Shuai Song, Shuo Yang, Ran Song, Shilei Chu, Yibin Li, Wei Zhang

ECCV 2022 Towards Regression-Free Neural Networks for Diverse Compute Platforms Rahul Duggal, Hao Zhou, Shuo Yang, Jun Fang, Yuanjun Xiong, Wei Xia

AAAI 2021 Adversarial Robustness Through Disentangled Representations Shuo Yang, Tianyu Guo, Yunhe Wang, Chang Xu

CVPR 2021 Compatibility-Aware Heterogeneous Visual Search Rahul Duggal, Hao Zhou, Shuo Yang, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto

NeurIPS 2021 Does Preprocessing Help Training Over-Parameterized Neural Networks? Zhao Song, Shuo Yang, Ruizhe Zhang

ICLR 2021 Free Lunch for Few-Shot Learning: Distribution Calibration Shuo Yang, Lu Liu, Min Xu

ECML-PKDD 2021 Inductive Link Prediction with Interactive Structure Learning on Attributed Graph Shuo Yang, Binbin Hu, Zhiqiang Zhang, Wang Sun, Yang Wang, Jun Zhou, Hongyu Shan, Yuetian Cao, Borui Ye, Yanming Fang, Quan Yu

CVPR 2021 Positive-Congruent Training: Towards Regression-Free Model Updates Sijie Yan, Yuanjun Xiong, Kaustav Kundu, Shuo Yang, Siqi Deng, Meng Wang, Wei Xia, Stefano Soatto

CVPR 2021 Single-View 3D Object Reconstruction from Shape Priors in Memory Shuo Yang, Min Xu, Haozhe Xie, Stuart Perry, Jiahao Xia

AAAI 2020 A Unified Framework for Knowledge Intensive Gradient Boosting: Leveraging Human Experts for Noisy Sparse Domains Harsha Kokel, Phillip Odom, Shuo Yang, Sriraam Natarajan

IJCAI 2020 Financial Risk Analysis for SMEs with Graph-Based Supply Chain Mining Shuo Yang, Zhiqiang Zhang, Jun Zhou, Yang Wang, Wang Sun, Xingyu Zhong, Yanming Fang, Quan Yu, Yuan Qi

CVPR 2020 High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification Guan'an Wang, Shuo Yang, Huanyu Liu, Zhicheng Wang, Yang Yang, Shuliang Wang, Gang Yu, Erjin Zhou, Jian Sun

ICCV 2019 FAB: A Robust Facial Landmark Detection Framework for Motion-Blurred Videos Keqiang Sun, Wayne Wu, Tinghao Liu, Shuo Yang, Quan Wang, Qiang Zhou, Zuochang Ye, Chen Qian

NeurIPS 2019 Interaction Hard Thresholding: Consistent Sparse Quadratic Regression in Sub-Quadratic Time and Space Shuo Yang, Yanyao Shen, Sujay Sanghavi

CVPR 2019 Region Proposal by Guided Anchoring Jiaqi Wang, Kai Chen, Shuo Yang, Chen Change Loy, Dahua Lin

AAAI 2019 Unsupervised Fake News Detection on Social Media: A Generative Approach Shuo Yang, Kai Shu, Suhang Wang, Renjie Gu, Fan Wu, Huan Liu

CVPR 2018 Look at Boundary: A Boundary-Aware Face Alignment Algorithm Wayne Wu, Chen Qian, Shuo Yang, Quan Wang, Yici Cai, Qiang Zhou

CVPR 2018 Optimizing Video Object Detection via a Scale-Time Lattice Kai Chen, Jiaqi Wang, Shuo Yang, Xingcheng Zhang, Yuanjun Xiong, Chen Change Loy, Dahua Lin

AAAI 2017 Efficiently Answering Technical Questions - A Knowledge Graph Approach Shuo Yang, Lei Zou, Zhongyuan Wang, Jun Yan, Ji-Rong Wen

CVPRW 2017 Leveraging Intra and Inter-Dataset Variations for Robust Face Alignment Wenyan Wu, Shuo Yang

CVPR 2017 Residual Attention Network for Image Classification Fei Wang, Mengqing Jiang, Chen Qian, Shuo Yang, Cheng Li, Honggang Zhang, Xiaogang Wang, Xiaoou Tang

AAAI 2016 Learning Continuous-Time Bayesian Networks in Relational Domains: A Non-Parametric Approach Shuo Yang, Tushar Khot, Kristian Kersting, Sriraam Natarajan

CVPR 2016 WIDER FACE: A Face Detection Benchmark Shuo Yang, Ping Luo, Chen-Change Loy, Xiaoou Tang

AAAI 2015 Deep Representation Learning with Target Coding Shuo Yang, Ping Luo, Chen Change Loy, Kenneth W. Shum, Xiaoou Tang

CVPR 2015 DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection Wanli Ouyang, Xiaogang Wang, Xingyu Zeng, Shi Qiu, Ping Luo, Yonglong Tian, Hongsheng Li, Shuo Yang, Zhe Wang, Chen-Change Loy, Xiaoou Tang

ICCV 2015 From Facial Parts Responses to Face Detection: A Deep Learning Approach Shuo Yang, Ping Luo, Chen-Change Loy, Xiaoou Tang

ECML-PKDD 2013 Knowledge Intensive Learning: Combining Qualitative Constraints with Causal Independence for Parameter Learning in Probabilistic Models Shuo Yang, Sriraam Natarajan