| 2025 | GraphAD: Interaction Scene Graph for End-to-end Autonomous Driving. | Yunpeng Zhang, Deheng Qian, Ding Li, Yifeng Pan, Yong Chen, Zhenbao Liang, Zhiyao Zhang, Yingzong Liu, Jianhui Mei, Maolei Fu, Yun Ye, Zhujin Liang, Yi Shan, Dalong Du |
| 2025 | QiMeng-TensorOp: One-Line Prompt is Enough for High-Performance Tensor Operator Generation with Hardware Primitives. | Xuzhi Zhang, Shaohui Peng, Qirui Zhou, Yuanbo Wen, Qi Guo, Ruizhi Chen, Xinguo Zhu, Weiqiang Xiong, Haixin Chen, Congying Ma, Ke Gao, Chen Zhao, Yanjun Wu, Yunji Chen, Ling Li |
| 2025 | GCTAM: Global and Contextual Truncated Affinity Combined Maximization Model For Unsupervised Graph Anomaly Detection. | Xiong Zhang, Hong Peng, Zhenli He, Cheng Xie, Xin Jin, Hua Jiang |
| 2025 | HealthLens: A Natural Language Querying System for Interactive Visualization of Electronic Health Records. | Haodi Zhang, Siqi Ning, Qiyong Zheng, Yuanfeng Song, Liang-Jie Zhang |
| 2025 | Training-free Fourier Phase Diffusion for Style Transfer. | Siyuan Zhang, Wei Ma, Libin Liu, Zheng Li, Hongbin Zha |
| 2025 | Automated Strategy Invention for Confluence of Term Rewrite Systems. | Liao Zhang, Fabian Mitterwallner, Jan Jakubuv, Cezary Kaliszyk |
| 2025 | AdaMixT: Adaptive Weighted Mixture of Multi-Scale Expert Transformers for Time Series Forecasting. | Huanyao Zhang, Jiaye Lin, Wentao Zhang, Haitao Yuan, Guoliang Li |
| 2025 | FGeo-HyperGNet: Geometric Problem Solving Integrating FormalGeo Symbolic System and Hypergraph Neural Network. | Xiaokai Zhang, Yang Li, Na Zhu, Cheng Qin, Zhenbing Zeng, Tuo Leng |
| 2025 | Rethinking Federated Graph Learning: A Data Condensation Perspective. | Hao Zhang, Xunkai Li, Yinlin Zhu, Lianglin Hu |
| 2025 | NS4S: Neighborhood Search for Scheduling Problems Via Large Language Models. | Junjie Zhang, Canhui Luo, Zhouxing Su, Qingyun Zhang, Zhipeng L, Junwen Ding, Yan Jin |
| 2025 | Code-BT: A Code-Driven Approach to Behavior Tree Generation for Robot Tasks Planning with Large Language Models. | Siyang Zhang, Bin Li, Jingtao Qi, Xueying Wang, Fu Li, Jianan Wang, En Zhu, Jinjing Sun |
| 2025 | PCToolkit: A Unified Plug-and-Play Prompt Compression Toolkit of Large Language Models. | Zheng Zhang, Jinyi Li, Yihuai Lan, Xiang Wang, Hao Wang |
| 2025 | Formal Synthesis of Safe Kolmogorov-Arnold Network Controllers with Barrier Certificates. | Xiongqi Zhang, Ning Lv, Wang Lin, Zuohua Ding |
| 2025 | A Weighted-Based Fast Local Search for α-Neighbor p-Center Problem. | Qingyun Zhang, Zhipeng L, Junwen Ding, Zhouxing Su |
| 2025 | Multimodal Prior Learning with Double Constraint Alignment for Snapshot Spectral Compressive Imaging. | Mingjin Zhang, Longyi Li, Fei Gao, Qiming Zhang, Jie Guo |
| 2025 | Enhancing Portfolio Optimization via Heuristic-Guided Inverse Reinforcement Learning with Multi-Objective Reward and Graph-based Policy Learning. | Wenyi Zhang, Renjun Jia, Yanhao Wang, Dawei Cheng, Minghao Zhao, Cen Chen |
| 2025 | Tree-of-AdEditor: Heuristic Tree Reasoning for Automated Video Advertisement Editing with Large Language Model. | Yuqi Zhang, Bin Guo, Nuo Li, Ying Zhang, Shijie Wang, Zhiwen Yu, Qing Li |
| 2025 | On the Power of Optimism in Constrained Online Convex Optimization. | Haobo Zhang, Hengquan Guo, Xin Liu |
| 2025 | AdaptPFL: Unlocking Cross-Device Palmprint Recognition via Adaptive Personalized Federated Learning with Feature Decoupling. | Zirui Zhang, Donghai Guan, etin Kaya Ko, Jie Wen, Qi Zhu |
| 2025 | Federated Stochastic Bilevel Optimization with Fully First-Order Gradients. | Yihan Zhang, Rohit Dhaipule, Chiu C. Tan, Haibin Ling, Hongchang Gao |
| 2025 | Causality-Inspired Disentanglement for Fair Graph Neural Networks. | Guixian Zhang, Debo Cheng, Guan Yuan, Shang Liu, Yanmei Zhang |
| 2025 | Towards Micro-Action Recognition with Limited Annotations: An Asynchronous Pseudo Labeling and Training Approach. | Yan Zhang, Lechao Cheng, Yaxiong Wang, Zhun Zhong, Meng Wang |
| 2025 | Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems. | Hao Zhang, Mingyue Cheng, Zhiding Liu, Junzhe Jiang |
| 2025 | Conditional Denoising Meets Polynomial Modeling: A Flexible Decoupled Framework for Time Series Forecasting. | Jintao Zhang, Mingyue Cheng, Xiaoyu Tao, Zhiding Liu, Daoyu Wang |
| 2025 | CRAFT: Time Series Forecasting with Cross-Future Behavior Awareness. | Yingwei Zhang, Ke Bu, Zhuoran Zhuang, Tao Xie, Yao Yu, Dong Li, Yang Guo, Detao Lv |