| 2025 | Jailbreak Antidote: Runtime Safety-Utility Balance via Sparse Representation Adjustment in Large Language Models. | Guobin Shen, Dongcheng Zhao, Yiting Dong, Xiang He, Yi Zeng |
| 2025 | Sparse Learning for State Space Models on Mobile. | Xuan Shen, Hangyu Zheng, Yifan Gong, Zhenglun Kong, Changdi Yang, Zheng Zhan, Yushu Wu, Xue Lin, Yanzhi Wang, Pu Zhao, Wei Niu |
| 2025 | BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics. | Keyi Shen, Jiangwei Yu, Jose A. Barreiros, Huan Zhang, Yunzhu Li |
| 2025 | Improving the Sparse Structure Learning of Spiking Neural Networks from the View of Compression Efficiency. | Jiangrong Shen, Qi Xu, Gang Pan, Badong Chen |
| 2025 | Hot-pluggable Federated Learning: Bridging General and Personalized FL via Dynamic Selection. | Lei Shen, Zhenheng Tang, Lijun Wu, Yonggang Zhang, Xiaowen Chu, Tao Qin, Bo Han |
| 2025 | Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders. | Qichao Shentu, Beibu Li, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo |
| 2025 | Enhancing Pre-trained Representation Classifiability can Boost its Interpretability. | Shufan Shen, Zhaobo Qi, Junshu Sun, Qingming Huang, Qi Tian, Shuhui Wang |
| 2025 | ShortcutsBench: A Large-Scale Real-world Benchmark for API-based Agents. | Haiyang Shen, Yue Li, Desong Meng, Dongqi Cai, Sheng Qi, Li Zhang, Mengwei Xu, Yun Ma |
| 2025 | TempMe: Video Temporal Token Merging for Efficient Text-Video Retrieval. | Leqi Shen, Tianxiang Hao, Tao He, Sicheng Zhao, Yifeng Zhang, Pengzhang Liu, Yongjun Bao, Guiguang Ding |
| 2025 | Language Representations Can be What Recommenders Need: Findings and Potentials. | Leheng Sheng, An Zhang, Yi Zhang, Yuxin Chen, Xiang Wang, Tat-Seng Chua |
| 2025 | SEAL: Safety-enhanced Aligned LLM Fine-tuning via Bilevel Data Selection. | Han Shen, Pin-Yu Chen, Payel Das, Tianyi Chen |
| 2025 | Learn hybrid prototypes for multivariate time series anomaly detection. | Ke-Yuan Shen |
| 2025 | Improved Sampling Of Diffusion Models In Fluid Dynamics With Tweedie's Formula. | Youssef Shehata, Benjamin J. Holzschuh, Nils Thuerey |
| 2025 | Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective. | Neta Shaul, Itai Gat, Marton Havasi, Daniel Severo, Anuroop Sriram, Peter Holderrieth, Brian Karrer, Yaron Lipman, Ricky T. Q. Chen |
| 2025 | A deep inverse-mapping model for a flapping robotic wing. | Hadar Sharvit, Raz Karl, Tsevi Beatus |
| 2025 | Comparing Targeting Strategies for Maximizing Social Welfare with Limited Resources. | Vibhhu Sharma, Bryan Wilder |
| 2025 | Heavy-Tailed Diffusion with Denoising Levy Probabilistic Models. | Dario Shariatian, Umut Simsekli, Alain Oliviero Durmus |
| 2025 | IV-mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis. | Shitong Shao, Zikai Zhou, Bai Lichen, Haoyi Xiong, Zeke Xie |
| 2025 | Multi-Robot Motion Planning with Diffusion Models. | Yorai Shaoul, Itamar Mishani, Shivam Vats, Jiaoyang Li, Maxim Likhachev |
| 2025 | Beyond Next Token Prediction: Patch-Level Training for Large Language Models. | Chenze Shao, Fandong Meng, Jie Zhou |
| 2025 | Earlier Tokens Contribute More: Learning Direct Preference Optimization From Temporal Decay Perspective. | Ruichen Shao, Bei Li, Gangao Liu, Yang Chen, ZhouXiang, Jingang Wang, Xunliang Cai, Peng Li |
| 2025 | FreeCG: Free the Design Space of Clebsch-Gordan Transform for Machine Learning Force Fields. | Shihao Shao, Haoran Geng, Zun Wang, Qinghua Cui |
| 2025 | ContraDiff: Planning Towards High Return States via Contrastive Learning. | Yixiang Shan, Zhengbang Zhu, Ting Long, Qifan Liang, Yi Chang, Weinan Zhang, Liang Yin |
| 2025 | GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost. | Xinyi Shang, Peng Sun, Tao Lin |
| 2025 | AgentSquare: Automatic LLM Agent Search in Modular Design Space. | Yu Shang, Yu Li, Keyu Zhao, Likai Ma, Jiahe Liu, Fengli Xu, Yong Li |