| 2025 | DS-VLM: Diffusion Supervision Vision Language Model. | Zhen Sun, Yunhang Shen, Jie Li, Xing Sun, Pingyang Dai, Liujuan Cao, Rongrong Ji |
| 2025 | Average Certified Radius is a Poor Metric for Randomized Smoothing. | Chenhao Sun, Yuhao Mao, Mark Niklas Mller, Martin T. Vechev |
| 2025 | Spherical-Nested Diffusion Model for Panoramic Image Outpainting. | Xiancheng Sun, Senmao Ma, Shengxi Li, Mai Xu, Jingyuan Xia, Lai Jiang, Xin Deng, Jiali Wang |
| 2025 | Scaling Laws for Floating-Point Quantization Training. | Xingwu Sun, Shuaipeng Li, Ruobing Xie, Weidong Han, Kan Wu, Zhen Yang, Yixing Li, An Wang, Shuai Li, Jinbao Xue, Yu Cheng, Yangyu Tao, Zhanhui Kang, Cheng-zhong Xu, Di Wang, Jie Jiang |
| 2025 | CAT Merging: A Training-Free Approach for Resolving Conflicts in Model Merging. | Wenju Sun, Qingyong Li, Yangliao Geng, Boyang Li |
| 2025 | FlatQuant: Flatness Matters for LLM Quantization. | Yuxuan Sun, Ruikang Liu, Haoli Bai, Han Bao, Kang Zhao, Yuening Li, Jiaxin Hu, Xianzhi Yu, Lu Hou, Chun Yuan, Xin Jiang, Wulong Liu, Jun Yao |
| 2025 | Adaptive Partitioning Schemes for Optimistic Optimization. | Raja Sunkara, Ardhendu Tripathy |
| 2025 | Is Noise Conditioning Necessary for Denoising Generative Models? | Qiao Sun, Zhicheng Jiang, Hanhong Zhao, Kaiming He |
| 2025 | Invariant Deep Uplift Modeling for Incentive Assignment in Online Marketing via Probability of Necessity and Sufficiency. | Zexu Sun, Qiyu Han, Hao Yang, Anpeng Wu, Minqin Zhu, Dugang Liu, Chen Ma, Yunpeng Weng, Xing Tang, Xiuqiang He |
| 2025 | Wait-Less Offline Tuning and Re-solving for Online Decision Making. | Jingruo Sun, Wenzhi Gao, Ellen Vitercik, Yinyu Ye |
| 2025 | Directed Graph Grammars for Sequence-based Learning. | Michael Sun, Orion Foo, Gang Liu, Wojciech Matusik, Jie Chen |
| 2025 | Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport. | Mingyang Sun, Pengxiang Ding, Weinan Zhang, Donglin Wang |
| 2025 | ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference. | Hanshi Sun, Li-Wen Chang, Wenlei Bao, Size Zheng, Ningxin Zheng, Xin Liu, Harry Dong, Yuejie Chi, Beidi Chen |
| 2025 | Analytical Construction on Geometric Architectures: Transitioning from Static to Temporal Link Prediction. | Yadong Sun, Xiaofeng Cao, Ivor W. Tsang, Heng Tao Shen |
| 2025 | Parrot: Multilingual Visual Instruction Tuning. | Hai-Long Sun, Da-Wei Zhou, Yang Li, Shiyin Lu, Chao Yi, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, De-Chuan Zhan, Han-Jia Ye |
| 2025 | A Sample Efficient Conditional Independence Test in the Presence of Discretization. | Boyang Sun, Yu Yao, Xinshuai Dong, Zongfang Liu, Tongliang Liu, Yumou Qiu, Kun Zhang |
| 2025 | Tracking Most Significant Shifts in Infinite-Armed Bandits. | Joe Suk, Jung-hun Kim |
| 2025 | A Unified Framework for Generalization Error Analysis of Learning with Arbitrary Discrete Weak Features. | Kosuke Sugiyama, Masato Uchida |
| 2025 | Unified Analysis of Continuous Weak Features Learning with Applications to Learning from Missing Data. | Kosuke Sugiyama, Masato Uchida |
| 2025 | COGNATE: Acceleration of Sparse Tensor Programs on Emerging Hardware using Transfer Learning. | Chamika Sudusinghe, Gerasimos Gerogiannis, Damitha Lenadora, Charles Block, Josep Torrellas, Charith Mendis |
| 2025 | A Generalization Result for Convergence in Learning-to-Optimize. | Michael Sucker, Peter Ochs |
| 2025 | Fixing the Double Penalty in Data-Driven Weather Forecasting Through a Modified Spherical Harmonic Loss Function. | Christopher Subich, Syed Zahid Husain, Leo Separovic, Jing Yang |
| 2025 | On the Benefits of Active Data Collection in Operator Learning. | Unique Subedi, Ambuj Tewari |
| 2025 | A Non-Asymptotic Convergent Analysis for Scored-Based Graph Generative Model via a System of Stochastic Differential Equations. | Junwei Su, Chuan Wu |
| 2025 | On the Interplay between Graph Structure and Learning Algorithms in Graph Neural Networks. | Junwei Su, Chuan Wu |