| 2025 | Improved Approximations for Hard Graph Problems using Predictions. | Anders Aamand, Justin Y. Chen, Siddharth Gollapudi, Sandeep Silwal, Hao Wu |
| 2025 | Breaking the n1.5 Additive Error Barrier for Private and Efficient Graph Sparsification via Private Expander Decomposition. | Anders Aamand, Justin Y. Chen, Mina Dalirrooyfard, Slobodan Mitrovic, Yuriy Nevmyvaka, Sandeep Silwal, Yinzhan Xu |
| 2025 | Lightweight Protocols for Distributed Private Quantile Estimation. | Anders Aamand, Fabrizio Boninsegna, Abigail Gentle, Jacob Imola, Rasmus Pagh |
| 2025 | Heavy-Tailed Linear Bandits: Huber Regression with One-Pass Update. | Jing Wang, Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou |
| 2025 | Synthesizing Software Engineering Data in a Test-Driven Manner. | Lei Zhang, Jiaxi Yang, Min Yang, Jian Yang, Mouxiang Chen, Jiajun Zhang, Zeyu Cui, Binyuan Hui, Junyang Lin |
| 2025 | Generative Modeling Reinvents Supervised Learning: Label Repurposing with Predictive Consistency Learning. | Yang Li, Jiale Ma, Yebin Yang, Qitian Wu, Hongyuan Zha, Junchi Yan |
| 2025 | Variational Counterfactual Intervention Planning to Achieve Target Outcomes. | Xin Wang, Shengfei Lyu, Chi Luo, Xiren Zhou, Huanhuan Chen |
| 2025 | Learning Event Completeness for Weakly Supervised Video Anomaly Detection. | Yu Wang, Shiwei Chen |
| 2025 | M+: Extending MemoryLLM with Scalable Long-Term Memory. | Yu Wang, Dmitry Krotov, Yuanzhe Hu, Yifan Gao, Wangchunshu Zhou, Julian J. McAuley, Dan Gutfreund, Rogrio Feris, Zexue He |
| 2025 | ELoRA: Low-Rank Adaptation for Equivariant GNNs. | Chen Wang, Siyu Hu, Guangming Tan, Weile Jia |
| 2025 | Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets. | Wei Liu, Zhongyu Niu, Lang Gao, Zhiying Deng, Jun Wang, Haozhao Wang, Ruixuan Li |
| 2025 | Learnware Specification via Dual Alignment. | Wei Chen, Junxiang Mao, Xiaozheng Wang, Min-Ling Zhang |
| 2025 | Diving into Self-Evolving Training for Multimodal Reasoning. | Wei Liu, Junlong Li, Xiwen Zhang, Fan Zhou, Yu Cheng, Junxian He |
| 2025 | Learning Attribute-Aware Hash Codes for Fine-Grained Image Retrieval via Query Optimization. | Peng Wang, Yong Li, Lin Zhao, Xiu-Shen Wei |
| 2025 | Schwarz-Schur Involution: Lightspeed Differentiable Sparse Linear Solvers. | Yu Wang, S. Mazdak Abulnaga, Yal Balbastre, Bruce Fischl |
| 2025 | M2PDE: Compositional Generative Multiphysics and Multi-component PDE Simulation. | Tao Zhang, Zhenhai Liu, Feipeng Qi, Yongjun Jiao, Tailin Wu |
| 2025 | Masked Autoencoders Are Effective Tokenizers for Diffusion Models. | Hao Chen, Yujin Han, Fangyi Chen, Xiang Li, Yidong Wang, Jindong Wang, Ze Wang, Zicheng Liu, Difan Zou, Bhiksha Raj |
| 2025 | Attention-Only Transformers via Unrolled Subspace Denoising. | Peng Wang, Yifu Lu, Yaodong Yu, Druv Pai, Qing Qu, Yi Ma |
| 2025 | A Closer Look at Transformers for Time Series Forecasting: Understanding Why They Work and Where They Struggle. | Yu Chen, Nathalia Cspedes, Payam M. Barnaghi |
| 2025 | Linear Contextual Bandits With Interference. | Yang Xu, Wenbin Lu, Rui Song |
| 2025 | The Ripple Effect: On Unforeseen Complications of Backdoor Attacks. | Rui Zhang, Yun Shen, Hongwei Li, Wenbo Jiang, Hanxiao Chen, Yuan Zhang, Guowen Xu, Yang Zhang |
| 2025 | TMetaNet: Topological Meta-Learning Framework for Dynamic Link Prediction. | Hao Li, Hao Wan, Yuzhou Chen, Dongsheng Ye, Yulia Gel, Hao Jiang |
| 2025 | Strengthen Out-of-Distribution Detection Capability with Progressive Self-Knowledge Distillation. | Yang Yang, Haonan Xu |
| 2025 | BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling. | Hao Li, Yu-Hao Huang, Chang Xu, Viktor Schlegel, Renhe Jiang, Riza Batista-Navarro, Goran Nenadic, Jiang Bian |
| 2025 | Rethinking Time Encoding via Learnable Transformation Functions. | Xi Chen, Yateng Tang, Jiarong Xu, Jiawei Zhang, Siwei Zhang, Sijia Peng, Xuehao Zheng, Yun Xiong |