| 2025 | Accelerating Unbiased LLM Evaluation via Synthetic Feedback. | Zhaoyi Zhou, Yuda Song, Andrea Zanette |
| 2025 | An Error Analysis of Flow Matching for Deep Generative Modeling. | Zhengyu Zhou, Weiwei Liu |
| 2025 | Flexible, Efficient, and Stable Adversarial Attacks on Machine Unlearning. | Zihan Zhou, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Da Yan, Ruoming Jin, Dejing Dou |
| 2025 | Efficient and Separate Authentication Image Steganography Network. | Junchao Zhou, Yao Lu, Jie Wen, Guangming Lu |
| 2025 | FloE: On-the-Fly MoE Inference on Memory-constrained GPU. | Yuxin Zhou, Zheng Li, Jun Zhang, Jue Wang, Yiping Wang, Zhongle Xie, Ke Chen, Lidan Shou |
| 2025 | Implicit Subgraph Neural Network. | Yongjian Zhong, Liao Zhu, Hieu Vu, Bijaya Adhikari |
| 2025 | Semi-Supervised Blind Quality Assessment with Confidence-quantifiable Pseudo-label Learning for Authentic Images. | Yan Zhong, Chenxi Yang, Suyuan Zhao, Tingting Jiang |
| 2025 | Reinforcement Learning Control of a Physical Robot Device for Assisted Human Walking without a Simulator. | Junmin Zhong, Emiliano Quiones Yumbla, Seyed Yousef Soltanian, Ruofan Wu, Wenlong Zhang, Jennie Si |
| 2025 | Tensorized Multi-View Multi-Label Classification via Laplace Tensor Rank. | Qiyu Zhong, Yi Shan, Haobo Wang, Zhen Yang, Gengyu Lyu |
| 2025 | Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting. | Siru Zhong, Weilin Ruan, Ming Jin, Huan Li, Qingsong Wen, Yuxuan Liang |
| 2025 | NeuronTune: Towards Self-Guided Spurious Bias Mitigation. | Guangtao Zheng, Wenqian Ye, Aidong Zhang |
| 2025 | ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models. | Kangjie Zheng, Junwei Yang, Siyue Liang, Bin Feng, Zequn Liu, Wei Ju, Zhiping Xiao, Ming Zhang |
| 2025 | Revisiting Diffusion Models: From Generative Pre-training to One-Step Generation. | Bowen Zheng, Tianming Yang |
| 2025 | Adaptive Sensitivity Analysis for Robust Augmentation against Natural Corruptions in Image Segmentation. | Laura Yu Zheng, Wenjie Wei, Tony Wu, Jacob Clements, Shreelekha Revankar, Andre Harrison, Yu Shen, Ming C. Lin |
| 2025 | Learning Dynamics under Environmental Constraints via Measurement-Induced Bundle Structures. | Dongzhe Zheng, Wenjie Mei |
| 2025 | Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots. | Guangting Zheng, Yehao Li, Yingwei Pan, Jiajun Deng, Ting Yao, Yanyong Zhang, Tao Mei |
| 2025 | Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph. | Weihuang Zheng, Jiashuo Liu, Jiaxing Li, Jiayun Wu, Peng Cui, Youyong Kong |
| 2025 | Integrating Intermediate Layer Optimization and Projected Gradient Descent for Solving Inverse Problems with Diffusion Models. | Yang Zheng, Wen Li, Zhaoqiang Liu |
| 2025 | MCU: An Evaluation Framework for Open-Ended Game Agents. | Xinyue Zheng, Haowei Lin, Kaichen He, Zihao Wang, Qiang Fu, Haobo Fu, Zilong Zheng, Yitao Liang |
| 2025 | Deep Electromagnetic Structure Design Under Limited Evaluation Budgets. | Shijian Zheng, Fangxiao Jin, Shuhai Zhang, Quan Xue, Mingkui Tan |
| 2025 | Bridging Protein Sequences and Microscopy Images with Unified Diffusion Models. | Dihan Zheng, Bo Huang |
| 2025 | Towards Attributions of Input Variables in a Coalition. | Xinhao Zheng, Huiqi Deng, Quanshi Zhang |
| 2025 | Can DBNNs Robust to Environmental Noise for Resource-constrained Scenarios? | Wendong Zheng, Junyang Chen, Husheng Guo, Wenjian Wang |
| 2025 | Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator. | Kaiwen Zheng, Yongxin Chen, Huayu Chen, Guande He, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang |
| 2025 | Model Immunization from a Condition Number Perspective. | Amber Yijia Zheng, Site Bai, Brian Bullins, Raymond A. Yeh |