| 2026 | ISCA | SHyLA: 3D-Stacked NVM-DRAM Hybrid LLM-Inference Architecture Exploiting Data and Memory Heterogeneity. | Liu He, Fuyao Zhou, Cheng Peng, Shunan Dong, Ziming Zhang, Huazhong Yang, Yongpan Liu, Guowei Zhang, Hongyang Jia |
| 2025 | ESORICS | NLSaber: Enhancing Netlink Family Fuzzing via Automated Syscall Description Generation. | Lin Ma, Xingwei Lin, Ziming Zhang, Yajin Zhou |
| 2025 | FPGA | FMC-LLM: Enabling FPGAs for Efficient Batched Decoding of 70B+ LLMs with a Memory-Centric Streaming Architecture. | Wenheng Ma, Xinhao Yang, Shulin Zeng, Tengxuan Liu, Libo Shen, Hongyi Wang, Shiyao Li, Jiewen Wang, Yuhan Zhang, Hao Guo, Jintao Li, Ziming Zhang, Zhenhua Zhu, Xuefei Ning, Tsung-Yi Ho, Guohao Dai, Yu Wang |
| 2025 | ICLR | GPS: A Probabilistic Distributional Similarity with Gumbel Priors for Set-to-Set Matching. | Ziming Zhang, Fangzhou Lin, Haotian Liu, Jose Morales, Haichong Zhang, Kazunori D. Yamada, Vijaya B. Kolachalama, Venkatesh Saligrama |
| 2025 | ICML | Active feature acquisition via explainability-driven ranking. | Osman Berke Gney, Ketan Suhaas Saichandran, Karim Elzokm, Ziming Zhang, Vijaya B. Kolachalama |
| 2025 | ICMLA | Ensembles of Statistically Independent Models: A Method for Semi-Supervised Domain Adaptation. | Nicholas Josselyn, Walter Gerych, Biao Yin, Ziming Zhang, Elke A. Rundensteiner |
| 2025 | MOBICOM | Demo: EdgeMind-OS: A Plug-and-Play Embodied Intelligence System for Real-Time On-Device Deployment. | Xin Ding, Jianyu Wei, Fucheng Jia, Liang Mi, Ruofei Ju, Xianye Wang, Yikai Zheng, Ziming Zhang, Weijun Wang, Shiqi Jiang, Yunxin Liu, Ting Cao |
| 2024 | IROS | Loss Distillation via Gradient Matching for Point Cloud Completion with Weighted Chamfer Distance. | Fangzhou Lin, Haotian Liu, Haoying Zhou, Songlin Hou, Kazunori D. Yamada, Gregory S. Fischer, Yanhua Li, Haichong K. Zhang, Ziming Zhang |
| 2024 | ICWSM | Wildlife Product Trading in Online Social Networks: A Case Study on Ivory-Related Product Sales Promotion Posts. | Guanyi Mou, Yun Yue, Kyumin Lee, Ziming Zhang |
| 2024 | WACV | Understanding Hyperbolic Metric Learning through Hard Negative Sampling. | Yun Yue, Fangzhou Lin, Guanyi Mou, Ziming Zhang |
| 2023 | CIKM | MOSS: AI Platform for Discovery of Corrosion-Resistant Materials. | Biao Yin, Nicholas Josselyn, Ziming Zhang, Elke A. Rundensteiner, Thomas A. Considine, John V. Kelley, Berend C. Rinderspacher, Robert E. Jensen, James F. Snyder |
| 2023 | CVPR | PRISE: Demystifying Deep Lucas-Kanade with Strongly Star-Convex Constraints for Multimodel Image Alignment. | Yiqing Zhang, Xinming Huang, Ziming Zhang |
| 2023 | DSN | Don't Knock! Rowhammer at the Backdoor of DNN Models. | M. Caner Tol, Saad Islam, Andrew J. Adiletta, Berk Sunar, Ziming Zhang |
| 2023 | ICCV | Hyperbolic Chamfer Distance for Point Cloud Completion. | Fangzhou Lin, Yun Yue, Songlin Hou, Xuechu Yu, Yajun Xu, Kazunori D. Yamada, Ziming Zhang |
| 2023 | ICDM | Distributional Cloning for Stabilized Imitation Learning via ADMM. | Xin Zhang, Yanhua Li, Ziming Zhang, Christopher G. Brinton, Zhenming Liu, Zhi-Li Zhang |
| 2023 | ICIP | Weakly Semi-Supervised Oriented Object Detection with Points. | Ziming Zhang, Yucheng Wang, Chu He, Qingyi Zhang, Xi Chen |
| 2023 | ICMLA | DeepSC-Edge: Scientific Corrosion Segmentation with Edge-Guided and Class-Balanced Losses. | Biao Yin, Nicholas Josselyn, Thomas A. Considine, John V. Kelley, Berend C. Rinderspacher, Robert E. Jensen, James F. Snyder, Ziming Zhang, Elke A. Rundensteiner |
| 2023 | ICONIP | A Distributed Projection-Based Algorithm with Local Estimators for Optimal Formation of Multi-robot System. | Yuanyuan Yue, Qingshan Liu, Ziming Zhang |
| 2023 | WACV | Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution. | Guojun Wu, Xin Zhang, Ziming Zhang, Yanhua Li, Xun Zhou, Christopher G. Brinton, Zhenming Liu |
| 2023 | SDM | STM-GAIL: Spatial-Temporal Meta-GAIL for Learning Diverse Human Driving Strategies. | Yingxue Zhang, Yanhua Li, Xun Zhou, Ziming Zhang, Jun Luo |
| 2023 | SDM | Domain Disentangled Meta-Learning. | Xin Zhang, Yanhua Li, Ziming Zhang, Zhi-Li Zhang |
| 2022 | CVPR | Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit Gradients. | Kaidong Li, Ziming Zhang, Cuncong Zhong, Guanghui Wang |
| 2022 | ECCV | Robust Object Detection with Inaccurate Bounding Boxes. | Chengxin Liu, Kewei Wang, Hao Lu, Zhiguo Cao, Ziming Zhang |
| 2022 | ICMLA | Transferring Indoor Corrosion Image Assessment Models to Outdoor Images via Domain Adaptation. | Nicholas Josselyn, Biao Yin, Thomas A. Considine, John V. Kelley, Berend C. Rinderspacher, Robert E. Jensen, James F. Snyder, Ziming Zhang, Elke A. Rundensteiner |
| 2022 | IGARSS | Application of an Improved U-Net Neural Network on Fracture Segmentation from Outcrop Images. | Zhibao Wang, Ziming Zhang, Lu Bai, Yuze Yang, Qiang Ma |
| 2022 | ICRA | Prediction of Metacarpophalangeal Joint Angles and Classification of Hand Configurations Based on Ultrasound Imaging of the Forearm. | Keshav Bimbraw, Christopher J. Nycz, Matthew J. Schueler, Ziming Zhang, Haichong K. Zhang |
| 2022 | WACV | EllipsoidNet: Ellipsoid Representation for Point Cloud Classification and Segmentation. | Yecheng Lyu, Xinming Huang, Ziming Zhang |
| 2021 | BMVC | Corrosion Image Data Set for Automating Scientific Assessment of Materials. | Biao Yin, Nicholas Josselyn, Thomas A. Considine, John V. Kelley, Berend C. Rinderspacher, Robert E. Jensen, James F. Snyder, Ziming Zhang, Elke A. Rundensteiner |
| 2021 | CVPR | Deep Lucas-Kanade Homography for Multimodal Image Alignment. | Yiming Zhao, Xinming Huang, Ziming Zhang |
| 2021 | ICCV | Self-supervised Geometric Features Discovery via Interpretable Attention for Vehicle Re-Identification and Beyond. | Ming Li, Xinming Huang, Ziming Zhang |
| 2021 | ICDM | DAC-ML: Domain Adaptable Continuous Meta-Learning for Urban Dynamics Prediction. | Xin Zhang, Yanhua Li, Xun Zhou, Oren Mangoubi, Ziming Zhang, Vincent Filardi, Jun Luo |
| 2021 | ICDM | Deep Incremental RNN for Learning Sequential Data: A Lyapunov Stable Dynamical System. | Ziming Zhang, Guojun Wu, Yanhua Li, Yun Yue, Xun Zhou |
| 2021 | IROS | Autonomous Scanning Target Localization for Robotic Lung Ultrasound Imaging. | Xihan Ma, Ziming Zhang, Haichong K. Zhang |
| 2020 | AAAI | Automatic Building and Labeling of HD Maps with Deep Learning. | Mahdi Elhousni, Yecheng Lyu, Ziming Zhang, Xinming Huang |
| 2020 | CVPR | Learning to Segment 3D Point Clouds in 2D Image Space. | Yecheng Lyu, Xinming Huang, Ziming Zhang |
| 2020 | ICDM | TrajGAIL: Trajectory Generative Adversarial Imitation Learning for Long-term Decision Analysis. | Xin Zhang, Yanhua Li, Xun Zhou, Ziming Zhang, Jun Luo |
| 2020 | ICLR | RNNs Incrementally Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients? | Anil Kag, Ziming Zhang, Venkatesh Saligrama |
| 2020 | ICPR | TreeRNN: Topology-Preserving Deep Graph Embedding and Learning. | Yecheng Lyu, Ming Li, Xinming Huang, Ulkuhan Guler, Patrick Schaumont, Ziming Zhang |
| 2020 | ICPR | RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm. | Yun Yue, Ming Li, Venkatesh Saligrama, Ziming Zhang |
| 2020 | ICPR | An Efficient Empirical Solver for Localized Multiple Kernel Learning via DNNs. | Ziming Zhang |
| 2020 | MICCAI | Augmented Reality-Based Lung Ultrasound Scanning Guidance. | Keshav Bimbraw, Xihan Ma, Ziming Zhang, Haichong K. Zhang |
| 2020 | WACV | Towards Learning Affine-Invariant Representations via Data-Efficient CNNs. | Wenju Xu, Guanghui Wang, Alan Sullivan, Ziming Zhang |
| 2020 | WACV | Self-Orthogonality Module: A Network Architecture Plug-in for Learning Orthogonal Filters. | Ziming Zhang, Wenchi Ma, Yuanwei Wu, Guanghui Wang |
| 2018 | CVPR | BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning. | Ziming Zhang, Yuanwei Wu, Guanghui Wang |
| 2018 | ICPR | Robust Attentional Pooling via Feature Selection. | Jianbo Zheng, Teng-Yok Lee, Chen Feng, Xiaohua Li, Ziming Zhang |
| 2017 | ICCV | Attention-Based Multimodal Fusion for Video Description. | Chiori Hori, Takaaki Hori, Teng-Yok Lee, Ziming Zhang, Bret Harsham, John R. Hershey, Tim K. Marks, Kazuhiro Sumi |
| 2016 | CVPR | Efficient Training of Very Deep Neural Networks for Supervised Hashing. | Ziming Zhang, Yuting Chen, Venkatesh Saligrama |
| 2016 | CVPR | Zero-Shot Learning via Joint Latent Similarity Embedding. | Ziming Zhang, Venkatesh Saligrama |
| 2016 | ECCV | Real-Time Visual Tracking: Promoting the Robustness of Correlation Filter Learning. | Yao Sui, Ziming Zhang, Guanghui Wang, Yafei Tang, Li Zhang |
| 2016 | ECCV | Zero-Shot Recognition via Structured Prediction. | Ziming Zhang, Venkatesh Saligrama |
| 2015 | ICASSP | Rapid: Rapidly accelerated proximal gradient algorithms for convex minimization. | Ziming Zhang, Venkatesh Saligrama |
| 2015 | ICCV | Group Membership Prediction. | Ziming Zhang, Yuting Chen, Venkatesh Saligrama |
| 2015 | ICCV | Zero-Shot Learning via Semantic Similarity Embedding. | Ziming Zhang, Venkatesh Saligrama |
| 2014 | CVPR | BING: Binarized Normed Gradients for Objectness Estimation at 300fps. | Ming-Ming Cheng, Ziming Zhang, Wen-Yan Lin, Philip H. S. Torr |
| 2014 | ECCV | A Novel Visual Word Co-occurrence Model for Person Re-identification. | Ziming Zhang, Yuting Chen, Venkatesh Saligrama |
| 2014 | SC | Trapped capacity: scheduling under a power cap to maximize machine-room throughput. | Ziming Zhang, Michael Lang, Scott Pakin, Song Fu |
| 2012 | CVPR | Efficient discriminative learning of parametric nearest neighbor classifiers. | Ziming Zhang, Paul Sturgess, Sunando Sengupta, Nigel T. Crook, Philip H. S. Torr |
| 2012 | IPCCC | An adaptive power management framework for autonomic resource configuration in cloud computing infrastructures. | Ziming Zhang, Qiang Guan, Song Fu |
| 2011 | CloudCom | Characterizing Power and Energy Usage in Cloud Computing Systems. | Ziming Zhang, Song Fu |
| 2011 | CVPR | Proposal generation for object detection using cascaded ranking SVMs. | Ziming Zhang, Jonathan Warrell, Philip H. S. Torr |
| 2011 | EuroPar | Experimental Framework for Injecting Logic Errors in a Virtual Machine to Profile Applications for Soft Error Resilience. | Nathan DeBardeleben, Sean Blanchard, Qiang Guan, Ziming Zhang, Song Fu |
| 2011 | ICCCN | Ensemble of Bayesian Predictors for Autonomic Failure Management in Cloud Computing. | Qiang Guan, Ziming Zhang, Song Fu |
| 2011 | IPCCC | Macropower: A coarse-grain power profiling framework for energy-efficient cloud computing. | Ziming Zhang, Song Fu |
| 2010 | ICIP | Learning image similarities via Probabilistic Feature Matching. | Ziming Zhang, Ze-Nian Li, Mark S. Drew |
| 2010 | ICPR | AdaMKL: A Novel Biconvex Multiple Kernel Learning Approach. | Ziming Zhang, Ze-Nian Li, Mark S. Drew |
| 2010 | IPCCC | Profiling and analysis of power consumption for virtualized systems and applications. | Ziming Zhang, Song Fu |
| 2009 | ICIP | Feature correspondence with constrained global spatial structures. | Ziming Zhang, Ze-Nian Li, Mark S. Drew |
| 2008 | ECCV | Motion Context: A New Representation for Human Action Recognition. | Ziming Zhang, Yiqun Hu, Syin Chan, Liang-Tien Chia |
| 2007 | ICIP | Discriminative Signatures for Image Classification. | Ziming Zhang, Syin Chan, Liang-Tien Chia |