| 2026 | AAAI | TripleFDS: Triple Feature Disentanglement and Synthesis for Scene Text Editing. | Yuchen Bao, Yiting Wang, Wenjian Huang, Haowei Wang, Shen Chen, Taiping Yao, Shouhong Ding, Jianguo Zhang |
| 2025 | AAAI | Unsupervised Patch-GAN with Targeted Patch Ranking for Fine-Grained Novelty Detection in Medical Imaging. | Jingkun Chen, Guang Yang, Xiao Zhang, Jingchao Peng, Tianlu Zhang, Jianguo Zhang, Jungong Han, Vicente Grau |
| 2025 | AAAI | Enhancing Low-Light Images: A Synthetic Data Perspective on Practical and Generalizable Solutions. | Yu Long, Qinghua Lin, Zhihua Wang, Kai Zhang, Jianguo Zhang, Yuming Fang |
| 2025 | AAAI | SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models. | Shuaijie Shen, Chao Wang, Renzhuo Huang, Yan Zhong, Qinghai Guo, Zhichao Lu, Jianguo Zhang, Luziwei Leng |
| 2025 | ACL | LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback. | Thai Quoc Hoang, Kung-Hsiang Huang, Shirley Kokane, Jianguo Zhang, Zuxin Liu, Ming Zhu, Jake Grigsby, Tian Lan, Michael S. Ryoo, Chien-Sheng Wu, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong, Juan Carlos Niebles |
| 2025 | ACL | PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data. | Juntao Tan, Liangwei Yang, Zuxin Liu, Zhiwei Liu, Rithesh R. N., Tulika Manoj Awalgaonkar, Jianguo Zhang, Weiran Yao, Ming Zhu, Shirley Kokane, Silvio Savarese, Huan Wang, Caiming Xiong, Shelby Heinecke |
| 2025 | EMNLP | MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models. | Zhiwei Liu, Jielin Qiu, Shiyu Wang, Jianguo Zhang, Zuxin Liu, Roshan Ram, Haolin Chen, Weiran Yao, Shelby Heinecke, Silvio Savarese, Huan Wang, Caiming Xiong |
| 2025 | EMNLP | SlackAgents: Scalable Collaboration of AI Agents in Workspaces. | Zhiwei Liu, Weiran Yao, Zuxin Liu, Juntao Tan, Jianguo Zhang, Frank Wang, Sukhandeep Nahal, Huan Wang, Shelby Heinecke, Silvio Savarese, Caiming Xiong |
| 2025 | EMNLP | LATTE: Learning to Think with Vision Specialists. | Zixian Ma, Jianguo Zhang, Zhiwei Liu, Jieyu Zhang, Juntao Tan, Manli Shu, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Caiming Xiong, Ranjay Krishna, Silvio Savarese |
| 2025 | EMNLP | ActionStudio: A Lightweight Framework for Data and Training of Large Action Models. | Jianguo Zhang, Thai Hoang, Ming Zhu, Zuxin Liu, Shiyu Wang, Tulika Awalgaonkar, Akshara Prabhakar, Haolin Chen, Weiran Yao, Zhiwei Liu, Juntao Tan, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong |
| 2025 | ICCV | ReferDINO: Referring Video Object Segmentation with Visual Grounding Foundations. | Tianming Liang, Kun-Yu Lin, Chaolei Tan, Jianguo Zhang, Wei-Shi Zheng, Jian-Fang Hu |
| 2025 | ICCV | Unsupervised Part Discovery via Descriptor-Based Masked Image Restoration with Optimized Constraints. | Jiahao Xia, Yike Wu, Wenjian Huang, Jianguo Zhang, Jian Zhang |
| 2025 | ICML | Open-Det: An Efficient Learning Framework for Open-Ended Detection. | Guiping Cao, Tao Wang, Wenjian Huang, Xiangyuan Lan, Jianguo Zhang, Dongmei Jiang |
| 2025 | ICML | Learning to Quantize for Training Vector-Quantized Networks. | Peijia Qin, Jianguo Zhang |
| 2025 | ICRA | Underwater Motions Analysis and Control of a Coupling-Tiltable Unmanned Aerial-Aquatic Vehicle. | Dongyue Huang, Minghao Dou, Xuchen Liu, Tao Sun, Jianguo Zhang, Ning Ding, Xinlei Chen, Ben M. Chen |
| 2025 | MICCAI | CoSSeg-TTA: Contrast-Aware Semi-Supervised Segmentation with Domain Generalization and Test-Time Adaptation. | Jincan Lou, Jingkun Chen, Haoquan Li, Hang Li, Wenjian Huang, Weihua Chen, Fan Wang, Jianguo Zhang |
| 2025 | NAACL | xLAM: A Family of Large Action Models to Empower AI Agent Systems. | Jianguo Zhang, Tian Lan, Ming Zhu, Zuxin Liu, Thai Hoang, Shirley Kokane, Weiran Yao, Juntao Tan, Akshara Prabhakar, Haolin Chen, Zhiwei Liu, Yihao Feng, Tulika Manoj Awalgaonkar, Rithesh R. N., Zeyuan Chen, Ran Xu, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong |
| 2024 | AAAI | Gradient-Guided Modality Decoupling for Missing-Modality Robustness. | Hao Wang, Shengda Luo, Guosheng Hu, Jianguo Zhang |
| 2024 | EACL | DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI. | Jianguo Zhang, Kun Qian, Zhiwei Liu, Shelby Heinecke, Rui Meng, Ye Liu, Zhou Yu, Huan Wang, Silvio Savarese, Caiming Xiong |
| 2024 | ICLR | Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization. | Weiran Yao, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Yihao Feng, Le Xue, Rithesh R. N., Zeyuan Chen, Jianguo Zhang, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese |
| 2024 | ICML | Using Left and Right Brains Together: Towards Vision and Language Planning. | Jun Cen, Chenfei Wu, Xiao Liu, Shengming Yin, Yixuan Pei, Jinglong Yang, Qifeng Chen, Nan Duan, Jianguo Zhang |
| 2024 | IJCAI | MLP-DINO: Category Modeling and Query Graphing with Deep MLP for Object Detection. | Guiping Cao, Wenjian Huang, Xiangyuan Lan, Jianguo Zhang, Dongmei Jiang, Yaowei Wang |
| 2023 | AAAI | Rethinking Alignment and Uniformity in Unsupervised Image Semantic Segmentation. | Daoan Zhang, Chenming Li, Haoquan Li, Wenjian Huang, Lingyun Huang, Jianguo Zhang |
| 2023 | CIKM | Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training. | Ziwei Fan, Zhiwei Liu, Shelby Heinecke, Jianguo Zhang, Huan Wang, Caiming Xiong, Philip S. Yu |
| 2023 | CVPR | Feature Alignment and Uniformity for Test Time Adaptation. | Shuai Wang, Daoan Zhang, Zipei Yan, Jianguo Zhang, Rui Li |
| 2023 | ICCV | Strip-MLP: Efficient Token Interaction for Vision MLP. | Guiping Cao, Shengda Luo, Wenjian Huang, Xiangyuan Lan, Dongmei Jiang, Yaowei Wang, Jianguo Zhang |
| 2023 | ICCV | Cross Contrasting Feature Perturbation for Domain Generalization. | Chenming Li, Daoan Zhang, Wenjian Huang, Jianguo Zhang |
| 2023 | ICLR | Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems. | Yihao Feng, Shentao Yang, Shujian Zhang, Jianguo Zhang, Caiming Xiong, Mingyuan Zhou, Huan Wang |
| 2023 | SIGdial | Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System. | Jianguo Zhang, Stephen Roller, Kun Qian, Zhiwei Liu, Rui Meng, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong |
| 2022 | CVPR | Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning. | Jiahao Xia, Weiwei Qu, Wenjian Huang, Jianguo Zhang, Xi Wang, Min Xu |
| 2022 | CVPR | Discrete time convolution for fast event-based stereo. | Kaixuan Zhang, Kaiwei Che, Jianguo Zhang, Jie Cheng, Ziyang Zhang, Qinghai Guo, Luziwei Leng |
| 2022 | ECCV | TransVLAD: Focusing on Locally Aggregated Descriptors for Few-Shot Learning. | Haoquan Li, Laoming Zhang, Daoan Zhang, Lang Fu, Peng Yang, Jianguo Zhang |
| 2022 | ICSE | NaturalCC: An Open-Source Toolkit for Code Intelligence. | Yao Wan, Yang He, Zhangqian Bi, Jianguo Zhang, Yulei Sui, Hongyu Zhang, Kazuma Hashimoto, Hai Jin, Guandong Xu, Caiming Xiong, Philip S. Yu |
| 2022 | MICCAI | Domain-Adaptive 3D Medical Image Synthesis: An Efficient Unsupervised Approach. | Qingqiao Hu, Hongwei Li, Jianguo Zhang |
| 2021 | CVPR | Sign-Agnostic Implicit Learning of Surface Self-Similarities for Shape Modeling and Reconstruction From Raw Point Clouds. | Wenbin Zhao, Jiabao Lei, Yuxin Wen, Jianguo Zhang, Kui Jia |
| 2021 | MICCAI | Unpaired MR Image Homogenisation by Disentangled Representations and Its Uncertainty. | Hongwei Li, Sunita Gopal, Anjany Sekuboyina, Jianguo Zhang, Chen Niu, Carolin M. Pirkl, Jan Kirschke, Benedikt Wiestler, Bjoern H. Menze |
| 2021 | MICCAI | Imbalance-Aware Self-supervised Learning for 3D Radiomic Representations. | Hongwei Li, Fei-Fei Xue, Krishna Chaitanya, Shengda Luo, Ivan Ezhov, Benedikt Wiestler, Jianguo Zhang, Bjoern H. Menze |
| 2020 | CVPR | TEA: Temporal Excitation and Aggregation for Action Recognition. | Yan Li, Bin Ji, Xintian Shi, Jianguo Zhang, Bin Kang, Limin Wang |
| 2020 | MICCAI | Deep Class-Specific Affinity-Guided Convolutional Network for Multimodal Unpaired Image Segmentation. | Jingkun Chen, Wenqi Li, Hongwei Li, Jianguo Zhang |
| 2020 | MICCAI | Generalisable Cardiac Structure Segmentation via Attentional and Stacked Image Adaptation. | Hongwei Li, Jianguo Zhang, Bjoern H. Menze |
| 2020 | MICCAI | Abnormality Detection in Chest X-Ray Images Using Uncertainty Prediction Autoencoders. | Yifan Mao, Feifei Xue, Ruixuan Wang, Jianguo Zhang, Wei-Shi Zheng, Hongmei Liu |
| 2020 | MICCAI | Deep kNN for Medical Image Classification. | Jiaxin Zhuang, Jiabin Cai, Ruixuan Wang, Jianguo Zhang, Wei-Shi Zheng |
| 2019 | CVPR | Progressive Teacher-Student Learning for Early Action Prediction. | Xionghui Wang, Jianfang Hu, Jian-Huang Lai, Jianguo Zhang, Wei-Shi Zheng |
| 2019 | MICCAI | Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-sequence Cardiac MR Images Segmentation. | Jingkun Chen, Hongwei Li, Jianguo Zhang, Bjoern H. Menze |
| 2019 | MICCAI | DiamondGAN: Unified Multi-modal Generative Adversarial Networks for MRI Sequences Synthesis. | Hongwei Li, Johannes C. Paetzold, Anjany Sekuboyina, Florian Kofler, Jianguo Zhang, Jan S. Kirschke, Benedikt Wiestler, Bjoern H. Menze |
| 2019 | NAACL | Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce. | Jianguo Zhang, Pengcheng Zou, Zhao Li, Yao Wan, Xiuming Pan, Yu Gong, Philip S. Yu |
| 2018 | CVPR | Discriminative Learning of Latent Features for Zero-Shot Recognition. | Yan Li, Junge Zhang, Jianguo Zhang, Kaiqi Huang |
| 2018 | ECCV | Deep Bilinear Learning for RGB-D Action Recognition. | Jianfang Hu, Wei-Shi Zheng, Jiahui Pan, Jianhuang Lai, Jianguo Zhang |
| 2018 | ICDM | Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction. | Jianguo Zhang, Ji Wang, Lifang He, Zhao Li, Philip S. Yu |
| 2018 | KDD | Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud. | Ji Wang, Jianguo Zhang, Weidong Bao, Xiaomin Zhu, Bokai Cao, Philip S. Yu |
| 2018 | MICCAI | Multi-scale Convolutional-Stack Aggregation for Robust White Matter Hyperintensities Segmentation. | Hongwei Li, Jianguo Zhang, Mark Mhlau, Jan Kirschke, Bjoern H. Menze |
| 2017 | AAAI | A Multi-Task Deep Network for Person Re-Identification. | Weihua Chen, Xiaotang Chen, Jianguo Zhang, Kaiqi Huang |
| 2017 | BMVC | Multi-Region Ensemble Convolutional Neural Network for High Accuracy Age Estimation. | Yiliang Chen, Zichang Tan, Alex Po Leung, Jun Wan, Jianguo Zhang |
| 2017 | CVPR | Beyond Triplet Loss: A Deep Quadruplet Network for Person Re-identification. | Weihua Chen, Xiaotang Chen, Jianguo Zhang, Kaiqi Huang |
| 2017 | ICIP | Fully connected CRF with data-driven prior for multi-class brain tumor segmentation. | Haocheng Shen, Jianguo Zhang |
| 2017 | ICIP | Efficient symmetry-driven fully convolutional network for multimodal brain tumor segmentation. | Haocheng Shen, Jianguo Zhang, Wei-Shi Zheng |
| 2017 | MICCAI | Boundary-Aware Fully Convolutional Network for Brain Tumor Segmentation. | Haocheng Shen, Ruixuan Wang, Jianguo Zhang, Stephen J. McKenna |
| 2016 | ICPR | HEp-2 specimen classification via deep CNNs and pattern histogram. | Hongwei Li, Hao Huang, Wei-Shi Zheng, Xiaohua Xie, Jianguo Zhang |
| 2015 | BMVC | Data Separation of L1-minimization for Real-time Motion Detection. | Yu Liu, Huaxin Xiao, Zheng Zhang, Wei Xu, Maojun Zhang, Jianguo Zhang |
| 2015 | CVPR | Jointly learning heterogeneous features for RGB-D activity recognition. | Jianfang Hu, Wei-Shi Zheng, Jian-Huang Lai, Jianguo Zhang |
| 2015 | MICCAI | Multiple Instance Cancer Detection by Boosting Regularised Trees. | Wenqi Li, Jianguo Zhang, Stephen J. McKenna |
| 2014 | ECCV | Human Action Recognition by Random Features and Hand-Crafted Features: A Comparative Study. | Haocheng Shen, Jianguo Zhang, Hui Zhang |
| 2014 | ICPR | HEp-2 Cell Classification Using Multi-resolution Local Patterns and Ensemble SVMs. | Siyamalan Manivannan, Wenqi Li, Shazia Akbar, Ruixuan Wang, Jianguo Zhang, Stephen J. McKenna |
| 2014 | ICPR | HEp-2 Specimen Classification Using Multi-resolution Local Patterns and SVM. | Siyamalan Manivannan, Wenqi Li, Shazia Akbar, Ruixuan Wang, Jianguo Zhang, Stephen J. McKenna |
| 2014 | MMM | Gait Based Gender Recognition Using Sparse Spatio Temporal Features. | Matthew Collins, Paul Miller, Jianguo Zhang |
| 2013 | IDEAL | Multidimensional Dynamic Trust Measurement Model with Incentive Mechanism for Internetware. | Guisheng Yin, Yingjie Wang, Jianguo Zhang, Hongbin Dong |
| 2013 | MICCAI | Learning from Partially Annotated OPT Images by Contextual Relevance Ranking. | Wenqi Li, Jianguo Zhang, Wei-Shi Zheng, Maria Coats, Frank A. Carey, Stephen J. McKenna |
| 2011 | BMVC | Age classification using Radon transform and entropy based scaling SVM. | Huiyu Zhou, Paul Miller, Jianguo Zhang |
| 2010 | AVSS | Intelligent Sensor Information System For Public Transport - To Safely Go... | Paul Miller, Weiru Liu, Chris Fowler, Huiyu Zhou, Jiali Shen, Jianbing Ma, Jianguo Zhang, WeiQi Yan, Kieran McLaughlin, Sakir Sezer |
| 2010 | ICIP | Inter-frame contextual modelling for visual speech recognition. | Adrian Pass, Ji Ming, Philip Hanna, Jianguo Zhang, Darryl Stewart |
| 2010 | ICIP | AN investigation into features for multi-view lipreading. | Adrian Pass, Jianguo Zhang, Darryl Stewart |
| 2010 | ICNC | Shift quality evaluation system based on neural network for DCT vehicles. | Jianguo Zhang, Yulong Lei, Changfu Zong, Hongbo Liu, Tinghui Hu |
| 2010 | Interspeech | Feature selection for pose invariant lip biometrics. | Adrian Pass, Jianguo Zhang, Darryl Stewart |
| 2009 | IMVIP | Poisson Kalman Particle Filtering for Tracking Centrosomes in Low-Light 3-D Confocal Image Sequences. | Hugh Gribben, Paul Miller, Jianguo Zhang, Mark Browne |
| 2009 | IMVIP | Hidden Conditional Random Fields for Visual Speech Recognition. | Adrian Pass, Jianguo Zhang, Darryl Stewart |
| 2007 | ICNC | Support Vector Machine Based Assessment System on Shift Quality for Vehicles: Theory, Structure and Application. | Jian Wang, Yulong Lei, Jianguo Zhang |
| 2007 | ICNC | Proposed Shift Quality Metrics and Experimentation on AMT Shift Quality Evaluation. | Jianguo Zhang, Yulong Lei, Xin Hua, Jian Wang, Anlin Ge |
| 2007 | SNPD | Oscillations of a class of second-order nonlinear delay differential equations with variable sign coefficients. | Jietao Zou, Jianguo Zhang, Xiaoyou Han, Hongxia Zhu |
| 2006 | CVPR | Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study. | Jianguo Zhang, Marcin Marszalek, Svetlana Lazebnik, Cordelia Schmid |
| 2005 | ISCAS | Recursive semi-blind decoding of a space-time block code over frequency-selective channel. | Ming Luo, Qinye Yin, Yiwen Zhang, Jianguo Zhang |
| 2002 | ICPR | Invariant Texture Segmentation Via Circular Gabor Filters. | Jianguo Zhang, Tieniu Tan, Li Ma |
| 2002 | ISCAS | Joint space-multipath-Doppler RAKE receiving in DS-CDMA systems over time-selective fading channels. | Aigang Feng, Qinye Yin, Jianguo Zhang, Zheng Zhao |
| 2002 | ISCAS | Subspace-based estimation method of uplink FIR channel in MC-CDMA system without cyclic prefix over frequency-selective fading channel. | Xiaojun Wu, Qinye Yin, Jianguo Zhang |
| 2002 | VTC | Blind channel estimation in synchronous MC-CDMA system with consideration of carrier offset compensation. | Aigang Feng, Qinye Yin, Jianguo Zhang, Ke Deng |
| 2002 | VTC | Adaptive diversity combination of space-time block coding in OFDM-CDMA systems with pilot-based channel estimation. | Aigang Feng, Qinye Yin, Jianguo Zhang, Yonghua Lin |
| 2001 | ICIP | Affine invariant texture signatures. | Jianguo Zhang, Tieniu Tan |