| 2025 | Projection Pursuit Density Ratio Estimation. | Meilin Wang, Wei Huang, Mingming Gong, Zheng Zhang |
| 2025 | Towards Understanding Fine-Tuning Mechanisms of LLMs via Circuit Analysis. | Xu Wang, Yan Hu, Wenyu Du, Reynold Cheng, Benyou Wang, Difan Zou |
| 2025 | Evolving Prompts In-Context: An Open-ended, Self-replicating Perspective. | Jianyu Wang, Zhiqiang Hu, Lidong Bing |
| 2025 | LLM-Augmented Chemical Synthesis and Design Decision Programs. | Haorui Wang, Jeff Guo, Lingkai Kong, Rampi Ramprasad, Philippe Schwaller, Yuanqi Du, Chao Zhang |
| 2025 | MPO: An Efficient Post-Processing Framework for Mixing Diverse Preference Alignment. | Tianze Wang, Dongnan Gui, Yifan Hu, Shuhang Lin, Linjun Zhang |
| 2025 | Optimizing Large Language Model Training Using FP4 Quantization. | Ruizhe Wang, Yeyun Gong, Xiao Liu, Guoshuai Zhao, Ziyue Yang, Baining Guo, Zheng-Jun Zha, Peng Cheng |
| 2025 | FedOne: Query-Efficient Federated Learning for Black-box Discrete Prompt Learning. | Ganyu Wang, Jinjie Fang, Maxwell J. Yin, Bin Gu, Xi Chen, Boyu Wang, Yi Chang, Charles Ling |
| 2025 | GTR: A General, Multi-View, and Dynamic Framework for Trajectory Representation Learning. | Xiangheng Wang, Ziquan Fang, Chenglong Huang, Danlei Hu, Lu Chen, Yunjun Gao |
| 2025 | From Complex to Atomic: Enhancing Augmented Generation via Knowledge-Aware Dual Rewriting and Reasoning. | Jinyu Wang, Jingjing Fu, Rui Wang, Lei Song, Jiang Bian |
| 2025 | Compositional Scene Understanding through Inverse Generative Modeling. | Yanbo Wang, Justin Dauwels, Yilun Du |
| 2025 | Guided Structural Inference: Leveraging Priors with Soft Gating Mechanisms. | Aoran Wang, Xinnan Dai, Jun Pang |
| 2025 | Sampling from Binary Quadratic Distributions via Stochastic Localization. | Chenguang Wang, Kaiyuan Cui, Weichen Zhao, Tianshu Yu |
| 2025 | Federated Causal Structure Learning with Non-identical Variable Sets. | Yunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang |
| 2025 | WGFormer: An SE(3)-Transformer Driven by Wasserstein Gradient Flows for Molecular Ground-State Conformation Prediction. | Fanmeng Wang, Minjie Cheng, Hongteng Xu |
| 2025 | A Manifold Perspective on the Statistical Generalization of Graph Neural Networks. | Zhiyang Wang, Juan Cervio, Alejandro Ribeiro |
| 2025 | TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation. | Daoyu Wang, Mingyue Cheng, Zhiding Liu, Qi Liu |
| 2025 | CodeSync: Synchronizing Large Language Models with Dynamic Code Evolution at Scale. | Chenlong Wang, Zhaoyang Chu, Zhengxiang Cheng, Xuyi Yang, Kaiyue Qiu, Yao Wan, Zhou Zhao, Xuanhua Shi, Hai Jin, Dongping Chen |
| 2025 | FrameBridge: Improving Image-to-Video Generation with Bridge Models. | Yuji Wang, Zehua Chen, Xiaoyu Chen, Yixiang Wei, Jun Zhu, Jianfei Chen |
| 2025 | On Understanding Attention-Based In-Context Learning for Categorical Data. | Aaron T. Wang, William Convertino, Xiang Cheng, Ricardo Henao, Lawrence Carin |
| 2025 | TruthFlow: Truthful LLM Generation via Representation Flow Correction. | Hanyu Wang, Bochuan Cao, Yuanpu Cao, Jinghui Chen |
| 2025 | MaskTwins: Dual-form Complementary Masking for Domain-Adaptive Image Segmentation. | Jiawen Wang, Yinda Chen, Xiaoyu Liu, Che Liu, Dong Liu, Jianqing Gao, Zhiwei Xiong |
| 2025 | Riemannian Diffusion Adaptation for Distributed Optimization on Manifolds. | Xiuheng Wang, Ricardo Augusto Borsoi, Cdric Richard, Ali H. Sayed |
| 2025 | Fast, Accurate Manifold Denoising by Tunneling Riemannian Optimization. | Shiyu Wang, Mariam Avagyan, Yihan Shen, Arnaud Lamy, Tingran Wang, Szabolcs Mrka, Zsuzsa Mrka, John Wright |
| 2025 | Speculate, then Collaborate: Fusing Knowledge of Language Models during Decoding. | Ziyao Wang, Muneeza Azmat, Ang Li, Raya Horesh, Mikhail Yurochkin |
| 2025 | Backdoor Attacks in Token Selection of Attention Mechanism. | Yunjuan Wang, Raman Arora |