| 2026 | ACL | Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens. | Chengshuai Zhao, Zhen Tan, Pingchuan Ma, Dawei Li, Bohan Jiang, Yancheng Wang, Yingzhen Yang, Huan Liu |
| 2025 | DASFAA | Declarative Privacy-Preserving Inference Queries. | Hong Guan, Ansh Tiwari, Summer Gautier, Rajan Hari Ambrish, Lixi Zhou, Yancheng Wang, Deepti Gupta, Yingzhen Yang, Chaowei Xiao, Kanchan Chowdhury, Jia Zou |
| 2025 | ICLR | Sketching for Convex and Nonconvex Regularized Least Squares with Sharp Guarantees. | Yingzhen Yang, Ping Li |
| 2025 | ICML | Sharp Generalization for Nonparametric Regression by Over-Parameterized Neural Networks: A Distribution-Free Analysis in Spherical Covariate. | Yingzhen Yang |
| 2025 | ICML | A New Concentration Inequality for Sampling Without Replacement and Its Application for Transductive Learning. | Yingzhen Yang |
| 2025 | WACV | Deep Geometric Moments Promote Shape Consistency in Text-to-3D Generation. | Utkarsh Nath, Rajeev Goel, Eun Som Jeon, Changhoon Kim, Kyle Min, Yezhou Yang, Yingzhen Yang, Pavan K. Turaga |
| 2025 | UAI | Informative Synthetic Data Generation for Thorax Disease Classification. | Yancheng Wang, Rajeev Goel, Marko Jojic, Alvin C. Silva, Teresa Wu, Yingzhen Yang |
| 2024 | ICML | Visual Transformer with Differentiable Channel Selection: An Information Bottleneck Inspired Approach. | Yancheng Wang, Ping Li, Yingzhen Yang |
| 2024 | NAACL | RecMind: Large Language Model Powered Agent For Recommendation. | Yancheng Wang, Ziyan Jiang, Zheng Chen, Fan Yang, Yingxue Zhou, Eunah Cho, Xing Fan, Yanbin Lu, Xiaojiang Huang, Yingzhen Yang |
| 2024 | UAI | Neural Architecture Search Finds Robust Models by Knowledge Distillation. | Utkarsh Nath, Yancheng Wang, Yingzhen Yang |
| 2023 | AAAI | Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning. | Kaize Ding, Yancheng Wang, Yingzhen Yang, Huan Liu |
| 2023 | ICLR | Projective Proximal Gradient Descent for Nonconvex Nonsmooth Optimization: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property. | Yingzhen Yang, Ping Li |
| 2023 | UAI | Locally Regularized Sparse Graph by Fast Proximal Gradient Descent. | Dongfang Sun, Yingzhen Yang |
| 2022 | ICLR | Discriminative Similarity for Data Clustering. | Yingzhen Yang, Ping Li |
| 2022 | UAI | Noisy L0-sparse subspace clustering on dimensionality reduced data. | Yingzhen Yang, Ping Li |
| 2022 | SSDBM | Benchmark of DNN Model Search at Deployment Time. | Lixi Zhou, Arindam Jain, Zijie Wang, Amitabh Das, Yingzhen Yang, Jia Zou |
| 2021 | ISIT | FROS: Fast Regularized Optimization by Sketching. | Yingzhen Yang, Ping Li |
| 2020 | ICLR | FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary. | Yingzhen Yang, Jiahui Yu, Nebojsa Jojic, Jun Huan, Thomas S. Huang |
| 2019 | UAI | Fast Proximal Gradient Descent for A Class of Non-convex and Non-smooth Sparse Learning Problems. | Yingzhen Yang, Jiahui Yu |
| 2018 | AISTATS | Dimensionality Reduced $\ell^{0}$-Sparse Subspace Clustering. | Yingzhen Yang |
| 2018 | ICLR | 3D-FilterMap: A Compact Architecture for Deep Convolutional Neural Networks. | Yingzhen Yang, Jianchao Yang, Ning Xu, Wei Han, Nebojsa Jojic, Thomas S. Huang |
| 2018 | ICML | WSNet: Compact and Efficient Networks Through Weight Sampling. | Xiaojie Jin, Yingzhen Yang, Ning Xu, Jianchao Yang, Nebojsa Jojic, Jiashi Feng, Shuicheng Yan |
| 2017 | ICLR | Support Regularized Sparse Coding and Its Fast Encoder. | Yingzhen Yang, Jiahui Yu, Pushmeet Kohli, Jianchao Yang, Thomas S. Huang |
| 2017 | UAI | Neighborhood Regularized l^1-Graph. | Yingzhen Yang, Jiashi Feng, Jiahui Yu, Jianchao Yang, Thomas S. Huang |
| 2016 | AAAI | Epitomic Image Super-Resolution. | Yingzhen Yang, Zhangyang Wang, Zhaowen Wang, Shiyu Chang, Ding Liu, Honghui Shi, Thomas S. Huang |
| 2016 | AAAI | On Order-Constrained Transitive Distance Clustering. | Zhiding Yu, Weiyang Liu, Wenbo Liu, Yingzhen Yang, Ming Li, B. V. K. Vijaya Kumar |
| 2016 | CVPR | Studying Very Low Resolution Recognition Using Deep Networks. | Zhangyang Wang, Shiyu Chang, Yingzhen Yang, Ding Liu, Thomas S. Huang |
| 2016 | CVPR | D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images. | Zhangyang Wang, Ding Liu, Shiyu Chang, Qing Ling, Yingzhen Yang, Thomas S. Huang |
| 2016 | ECCV | ℓ ^0 ℓ 0 -Sparse Subspace Clustering. | Yingzhen Yang, Jiashi Feng, Nebojsa Jojic, Jianchao Yang, Thomas S. Huang |
| 2016 | IJCAI | Learning A Deep ℓ | Zhangyang Wang, Yingzhen Yang, Shiyu Chang, Qing Ling, Thomas S. Huang |
| 2015 | CVPR | Self-tuned deep super resolution. | Zhangyang Wang, Yingzhen Yang, Zhaowen Wang, Shiyu Chang, Wei Han, Jianchao Yang, Thomas S. Huang |
| 2015 | IJCAI | A Joint Optimization Framework of Sparse Coding and Discriminative Clustering. | Zhangyang Wang, Yingzhen Yang, Shiyu Chang, Jinyan Li, Simon Fong, Thomas S. Huang |
| 2015 | VCIP | Designing a composite dictionary adaptively from joint examples. | Zhangyang Wang, Yingzhen Yang, Jianchao Yang, Thomas S. Huang |
| 2014 | AAAI | Data Clustering by Laplacian Regularized L1-Graph. | Yingzhen Yang, Zhangyang Wang, Jianchao Yang, Jiangping Wang, Shiyu Chang, Thomas S. Huang |
| 2014 | BMVC | Regularized l1-Graph for Data Clustering. | Yingzhen Yang, Zhangyang Wang, Jianchao Yang, Jiawei Han, Thomas S. Huang |
| 2014 | ICASSP | Epitomic image colorization. | Yingzhen Yang, Xinqi Chu, Tian-Tsong Ng, Alex Yong Sang Chia, Jianchao Yang, Hailin Jin, Thomas S. Huang |
| 2014 | ICASSP | Discriminative Exemplar clustering. | Yingzhen Yang, Feng Liang, Thomas S. Huang |
| 2013 | ICMLA | Pairwise Clustering by Minimizing the Error of Unsupervised Nearest Neighbor Classification. | Yingzhen Yang, Xinqi Chu, Thomas S. Huang |
| 2012 | AAAI | Pairwise Exemplar Clustering. | Yingzhen Yang, Xinqi Chu, Feng Liang, Thomas S. Huang |