| 2026 | AAAI | LMGL-WD: LLM-Guided Multi-Task Graph Learning for Category-Level Warehouse Demand Prediction in E-Commerce. | Wenjun Lyu, Fangyu Li, Yudong Zhang, Shuai Wang, Yunhuai Liu, Tian He, Desheng Zhang |
| 2026 | ACL | CAR: Empowering Agents with Dynamic Tool Synthesis and Global Trajectory Rectification. | Kai Wang, Xu Wang, Zhiyuan Fu, Yudong Zhang, Yang Wang |
| 2025 | AAAI | Drawing Informative Gradients from Sources: A One-stage Transfer Learning Framework for Cross-city Spatiotemporal Forecasting. | Yudong Zhang, Xu Wang, Xuan Yu, Zhaoyang Sun, Kai Wang, Yang Wang |
| 2025 | AAAI | Enhancing Contrastive Learning Inspired by the Philosophy of "The Blind Men and the Elephant". | Yudong Zhang, Ruobing Xie, Jiansheng Chen, Xingwu Sun, Zhanhui Kang, Yu Wang |
| 2025 | EMNLP | The Security Threat of Compressed Projectors in Large Vision-Language Models. | Yudong Zhang, Ruobing Xie, Xingwu Sun, Jiansheng Chen, Zhanhui Kang, Di Wang, Yu Wang |
| 2025 | ICASSP | Time-Space-Interlaced Spatiotemporal Graph Forecasting via Two-Stage Summarized Attention. | Zhaoyang Sun, Yudong Zhang, Xuan Yu, Kai Wang, Binwu Wang, Yang Wang, Xu Wang |
| 2025 | ICASSP | Embedding Enhanced MLP Enables Simple and Extensible Spatiotemporal Forecasting. | Ziyan Wang, Yudong Zhang, Pengkun Wang, Xu Wang, Yang Wang |
| 2025 | ICCV | DADet: Safeguarding Image Conditional Diffusion Models Against Adversarial and Backdoor Attacks via Diffusion Anomaly Detection. | Hongwei Yu, Xinlong Ding, Jiawei Li, Jinlong Wang, Yudong Zhang, Rongquan Wang, Huimin Ma, Jiansheng Chen |
| 2025 | ICDE | DIFFODE: Neural ODE with Differentiable Hidden State for Irregular Time Series Analysis. | Yudong Zhang, Xu Wang, Xuan Yu, Zhengyang Zhou, Xing Xu, Lei Bai, Yang Wang |
| 2025 | ICLR | COFlowNet: Conservative Constraints on Flows Enable High-Quality Candidate Generation. | Yudong Zhang, Xuan Yu, Xu Wang, Zhaoyang Sun, Chen Zhang, Pengkun Wang, Yang Wang |
| 2025 | IJCAI | Time-Frequency Disentanglement Boosted Pre-Training: A Universal Spatio-Temporal Modeling Framework. | Yudong Zhang, Zhaoyang Sun, Xu Wang, Xuan Yu, Kai Wang, Yang Wang |
| 2025 | NAACL | QAVA: Query-Agnostic Visual Attack to Large Vision-Language Models. | Yudong Zhang, Ruobing Xie, Jiansheng Chen, Xingwu Sun, Zhanhui Kang, Yu Wang |
| 2025 | SMC | FEdiffusion-VAD: A Feature-Enhanced Diffusion Model for Skeleton-based Video Anomaly Detection. | Fengxin Du, Xingang Wang, Yudong Zhang, Yuteng Xiao |
| 2025 | SMC | ParticleDiff: A Conditional Diffusion Trajectory Generator for Enhancing Biological Particle Tracking. | Yudong Zhang, Dan Liu, Ge Yang |
| 2025 | WWW | Do We Really Need GCNs in Traffic Forecasting? A Graph-Less Pure-MLP Architecture. | Yudong Zhang, Xu Wang, Xuan Yu, Kuo Yang, Zhengyang Zhou, Yang Wang |
| 2025 | WWW | FedSTG: Breaking through Spatio-Temporal Data Silos with Federated Graph Learning. | Yudong Zhang, Xu Wang, Xuan Yu, Kuo Yang, Zhengyang Zhou, Yang Wang |
| 2024 | AAAI | Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective. | Binwu Wang, Pengkun Wang, Yudong Zhang, Xu Wang, Zhengyang Zhou, Lei Bai, Yang Wang |
| 2024 | AAAI | Step Vulnerability Guided Mean Fluctuation Adversarial Attack against Conditional Diffusion Models. | Hongwei Yu, Jiansheng Chen, Xinlong Ding, Yudong Zhang, Ting Tang, Huimin Ma |
| 2024 | AAAI | A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks. | Zhe Zhao, Pengkun Wang, Haibin Wen, Yudong Zhang, Zhengyang Zhou, Yang Wang |
| 2024 | ICASSP | Gradient Reactivation Enhanced Causal Attention for Out-Of-Distribution Generalizable Graph Classification. | Xu Wang, Pengfei Gu, Yudong Zhang, Binwu Wang, Pengkun Wang, Yang Wang |
| 2024 | ICASSP | Graph Networks Stand Strong: Enhancing Robustness via Stability Constraints. | Zhe Zhao, Pengkun Wang, Haibin Wen, Yudong Zhang, Binwu Wang, Yang Wang |
| 2024 | ICLR | Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning. | Binwu Wang, Pengkun Wang, Wei Xu, Xu Wang, Yudong Zhang, Kun Wang, Yang Wang |
| 2024 | ISCAS | Machine Learning for X-ray and CT-based COVID-19 Diagnosis. | Min Tang, Shuwen Chen, Shuihua Wang, Yudong Zhang |
| 2024 | KDD | STONE: A Spatio-temporal OOD Learning Framework Kills Both Spatial and Temporal Shifts. | Binwu Wang, Jiaming Ma, Pengkun Wang, Xu Wang, Yudong Zhang, Zhengyang Zhou, Yang Wang |
| 2024 | NPC | Federal Knowledge Graph Embedding Based on Incentive Mechanism. | Lijun Chen, Yudong Zhang, Xia Xie, Mianxiong Dong, Kaoru Ota |
| 2023 | CCGRID | SAS-UNet: Modified encoder-decoder network for the segmentation of obscenity in images. | Sonali Samal, Thippa Reddy Gadekallu, Pankaj Rajput, Yudong Zhang, Bunil Kumar Balabantaray |
| 2023 | CIKM | Transferable Structure-based Adversarial Attack of Heterogeneous Graph Neural Network. | Yu Shang, Yudong Zhang, Jiansheng Chen, Depeng Jin, Yong Li |
| 2023 | DASFAA | Long-Tailed Time Series Classification via Feature Space Rebalancing. | Pengkun Wang, Xu Wang, Binwu Wang, Yudong Zhang, Lei Bai, Yang Wang |
| 2023 | DASFAA | A Knowledge-Driven Memory System for Traffic Flow Prediction. | Binwu Wang, Yudong Zhang, Pengkun Wang, Xu Wang, Lei Bai, Yang Wang |
| 2023 | ICASSP | Pondering About Task Spatial Misalignment: Classification-Localization Equilibrated Object Detection. | Yudong Zhang, Wei Lu, Xu Wang, Pengkun Wang, Yang Wang |
| 2023 | IJCNN | Neuromorphic tuning of feature spaces to overcome the challenge of low-sample high-dimensional data. | Qinghua Zhou, Oliver J. Sutton, Yudong Zhang, Alexander N. Gorban, Valeri A. Makarov, Ivan Yu. Tyukin |
| 2023 | KDD | Pattern Expansion and Consolidation on Evolving Graphs for Continual Traffic Prediction. | Binwu Wang, Yudong Zhang, Xu Wang, Pengkun Wang, Zhengyang Zhou, Lei Bai, Yang Wang |
| 2023 | KDD | An Observed Value Consistent Diffusion Model for Imputing Missing Values in Multivariate Time Series. | Xu Wang, Hongbo Zhang, Pengkun Wang, Yudong Zhang, Binwu Wang, Zhengyang Zhou, Yang Wang |
| 2023 | KDD | Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning. | Zhengyang Zhou, Qihe Huang, Kuo Yang, Kun Wang, Xu Wang, Yudong Zhang, Yuxuan Liang, Yang Wang |
| 2023 | MICCAI | A Motion Transformer for Single Particle Tracking in Fluorescence Microscopy Images. | Yudong Zhang, Ge Yang |
| 2022 | ICDM | Countering Modal Redundancy and Heterogeneity: A Self-Correcting Multimodal Fusion. | Pengkun Wang, Xu Wang, Binwu Wang, Yudong Zhang, Lei Bai, Yang Wang |
| 2022 | IWINAC | Covid-19 Detection by Wavelet Entropy and Self-adaptive PSO. | Wei Wang, Shui-Hua Wang, Juan Manuel Grriz, Yudong Zhang |
| 2022 | IWINAC | RDNet: ResNet-18 with Dropout for Blood Cell Classification. | Ziquan Zhu, Zeyu Ren, Shui-Hua Wang, Juan Manuel Grriz, Yudong Zhang |
| 2022 | IWINAC | ConvNet-CA: A Lightweight Attention-Based CNN for Brain Disease Detection. | Hengde Zhu, Jian Wang, Shui-Hua Wang, Yudong Zhang, Juan Manuel Grriz |
| 2022 | WSDM | CMT-Net: A Mutual Transition Aware Framework for Taxicab Pick-ups and Drop-offs Co-Prediction. | Yudong Zhang, Binwu Wang, Ziyang Shan, Zhengyang Zhou, Yang Wang |
| 2021 | ACL | Weakly-Supervised Methods for Suicide Risk Assessment: Role of Related Domains. | Chenghao Yang, Yudong Zhang, Smaranda Muresan |
| 2021 | INDIN | Reliable Real-time Destination Prediction. | Gregory Meyers, Miguel Martnez-Garca, Yu Zhang, Yudong Zhang |
| 2021 | UCC | Knowledge distillation for secondary pulmonary tuberculosis classification ensemble. | Qinghua Zhou, Hengde Zhu, Xin Zhang, Yudong Zhang |
| 2019 | AAAI | Learning Uniform Semantic Features for Natural Language and Programming Language Globally, Locally and Sequentially. | Yudong Zhang, Wenhao Zheng, Ming Li |
| 2019 | ICCSA | Multifractal Analysis with L2 Norm Denoising Technique: Modelling of MS Subgroups Classification. | Yeliz Karaca, Majaz Moonis, Yudong Zhang |
| 2019 | INDIN | Measuring System Entropy with a Deep Recurrent Neural Network Model. | Miguel Martnez-Garca, Yu Zhang, Kenji Suzuki, Yudong Zhang |
| 2017 | ICNC | Flower classification based on single petal image and machine learning methods. | Siyuan Lu, Zhihai Lu, Xianqing Chen, Shuihua Wang, Yudong Zhang |
| 2017 | IDEAL | Ford Motorcar Identification from Single-Camera Side-View Image Based on Convolutional Neural Network. | Shuihua Wang, Wen-Juan Jia, Yudong Zhang |
| 2017 | ISCAS | A 0.6V 50-to-145MHz PVT tolerant digital PLL with DCO-dedicated ΔΣ LDO and temperature compensation circuits in 65nm CMOS. | Yudong Zhang, Xiaofeng Liu, Woogeun Rhee, Hanjun Jiang, Zhihua Wang |
| 2017 | ISNN | Hearing Loss Detection in Medical Multimedia Data by Discrete Wavelet Packet Entropy and Single-Hidden Layer Neural Network Trained by Adaptive Learning-Rate Back Propagation. | Shuihua Wang, Sidan Du, Yang Li, Huimin Lu, Ming Yang, Bin Liu, Yudong Zhang |
| 2017 | IWINAC | Preliminary Study on Unilateral Sensorineural Hearing Loss Identification via Dual-Tree Complex Wavelet Transform and Multinomial Logistic Regression. | Shuihua Wang, Yudong Zhang, Ming Yang, Bin Liu, Javier Ramrez, Juan Manuel Grriz |
| 2016 | ICPADS | Super Resolving of the Depth Map for 3D Reconstruction of Underwater Terrain Using Kinect. | Yu Nakagawa, Keita Kihara, Ryunosuke Tadoh, Seiichi Serikawa, Huimin Lu, Yudong Zhang, Yujie Li |
| 2016 | ICPADS | Sparse Autoencoder Based Deep Neural Network for Voxelwise Detection of Cerebral Microbleed. | Yudong Zhang, Xiao-Xia Hou, Yi-Ding Lv, Hong Chen, Yin Zhang, Shuihua Wang |
| 2016 | IDEAL | Predict Two-Dimensional Protein Folding Based on Hydrophobic-Polar Lattice Model and Chaotic Clonal Genetic Algorithm. | Shuihua Wang, Lenan Wu, Yuankai Huo, Xueyan Wu, Hainan Wang, Yudong Zhang |
| 2010 | ICIP | An improved locally linear embedding for sparse data sets. | Ying Wen, Zhenyu Zhou, Xunheng Wang, Yudong Zhang, Renhua Wu |
| 2009 | ICNC | Bacterial Chemotaxis Optimization for Protein Folding Model. | Yudong Zhang, Lenan Wu |