Sun, Qiang

20 publications

TMLR 2026 Order from Chaos: Physical World Understanding from Glitchy Gameplay Videos Meng Cao, Haoran Tang, Haoze Zhao, Mingfei Han, Ruyang Liu, Qiang Sun, Xiaojun Chang, Ian Reid, Xiaodan Liang

UAI 2025 Corruption-Robust Variance-Aware Algorithms for Generalized Linear Bandits Under Heavy-Tailed Rewards Qingyuan Yu, Euijin Baek, Xiang Li, Qiang Sun

ICLR 2025 Intervening Anchor Token: Decoding Strategy in Alleviating Hallucinations for MLLMs Feilong Tang, Zile Huang, Chengzhi Liu, Qiang Sun, Harry Yang, Ser-Nam Lim

NeurIPS 2025 PCA++: How Uniformity Induces Robustness to Background Noise in Contrastive Learning Mingqi Wu, Qiang Sun, Archer Y. Yang

ICML 2025 UltraTWD: Optimizing Ultrametric Trees for Tree-Wasserstein Distance Fangchen Yu, Yanzhen Chen, Jiaxing Wei, Jianfeng Mao, Wenye Li, Qiang Sun

UAI 2024 Gradient Descent in Matrix Factorization: Understanding Large Initialization Hengchao Chen, Xin Chen, Mohamad Elmasri, Qiang Sun

ICLR 2024 Rethinking the Uniformity Metric in Self-Supervised Learning Xianghong Fang, Jian Li, Qiang Sun, Benyou Wang

TMLR 2024 Variance-Aware Decision Making with Linear Function Approximation Under Heavy-Tailed Rewards Xiang Li, Qiang Sun

NeurIPS 2023 Directional Diffusion Models for Graph Representation Learning Run Yang, Yuling Yang, Fan Zhou, Qiang Sun

CVPR 2023 GeoVLN: Learning Geometry-Enhanced Visual Representation with Slot Attention for Vision-and-Language Navigation Jingyang Huo, Qiang Sun, Boyan Jiang, Haitao Lin, Yanwei Fu

AISTATS 2023 Online Linearized LASSO Shuoguang Yang, Yuhao Yan, Xiuneng Zhu, Qiang Sun

ICML 2023 Sketched Ridgeless Linear Regression: The Role of Downsampling Xin Chen, Yicheng Zeng, Siyue Yang, Qiang Sun

AISTATS 2023 Statistical Analysis of Karcher Means for Random Restricted PSD Matrices Hengchao Chen, Xiang Li, Qiang Sun

AISTATS 2022 Distributed Sparse Multicategory Discriminant Analysis Hengchao Chen, Qiang Sun

JMLR 2021 Hoeffding's Inequality for General Markov Chains and Its Applications to Statistical Learning Jianqing Fan, Bai Jiang, Qiang Sun

ICML 2018 Graphical Nonconvex Optimization via an Adaptive Convex Relaxation Qiang Sun, Kean Ming Tan, Han Liu, Tong Zhang

AISTATS 2018 Statistical Sparse Online Regression: A Diffusion Approximation Perspective Jianqing Fan, Wenyan Gong, Chris Junchi Li, Qiang Sun

AAAI 2006 Explanation-Based Learning for Image Understanding Qiang Sun, Li-Lun Wang, Gerald DeJong

ICML 2005 Explanation-Augmented SVM: An Approach to Incorporating Domain Knowledge into SVM Learning Qiang Sun, Gerald DeJong

CVPR 2005 Feature Kernel Functions: Improving SVMs Using High-Level Knowledge Qiang Sun, Gerald DeJong