| 2026 | DATE | No Pixel, More Efficient: Multimodal Framework for Sub-nm Mask Process Correction. | Kai Ma, Tianyi Li, Jiaqi Liu, Jingyi Yu, Hao Geng |
| 2025 | ACL | Is LLM an Overconfident Judge? Unveiling the Capabilities of LLMs in Detecting Offensive Language with Annotation Disagreement. | Junyu Lu, Kai Ma, Kaichun Wang, Kelaiti Xiao, Roy Ka-Wei Lee, Bo Xu, Liang Yang, Hongfei Lin |
| 2025 | CVPR | Make-It-Animatable: An Efficient Framework for Authoring Animation-Ready 3D Characters. | Zhiyang Guo, Jinxu Xiang, Kai Ma, Wengang Zhou, Houqiang Li, Ran Zhang |
| 2025 | DAC | LMM-IR: Large-Scale Netlist-Aware Multimodal Framework for Static IR-Drop Prediction. | Kai Ma, Zhen Wang, Hongquan He, Qi Xu, Tinghuan Chen, Hao Geng |
| 2025 | EMNLP | VRoPE: Rotary Position Embedding for Video Large Language Models. | Zikang Liu, Longteng Guo, Yepeng Tang, Tongtian Yue, Junxian Cai, Kai Ma, Qingbin Liu, Xi Chen, Jing Liu |
| 2025 | EMNLP | Sarcasm-R1: Enhancing Sarcasm Detection through Focused Reasoning. | Qi Yang, Jingjie Zeng, Liang Yang, Kai Ma, Hongfei Lin |
| 2025 | ICASSP | Towards Patronizing and Condescending Language in Chinese Videos: A Multimodal Dataset and Detector. | Hongbo Wang, Junyu Lu, Yan Han, Kai Ma, Liang Yang, Hongfei Lin |
| 2025 | ICCV | IFAdapter: Instance Feature Control for Grounded Text-to-Image Generation. | Yinwei Wu, Xianpan Zhou, Bing Ma, Xuefeng Su, Kai Ma, Xinchao Wang |
| 2025 | ICPADS | FLO: Focal Loss-Based Oversampling for High-Dimensional Imbalanced Biomedical Data Classification. | Ming Zheng, Kai Ma, Qiran Zhou, Fulong Chen |
| 2025 | SIGGRAPH | RELATE3D: REfocusing Latent Adapter for Targeted local Enhancement and Editing in 3D Generation. | Xiao-Lei Li, Hao-Xiang Chen, Yanni Zhang, Kai Ma, Alan Zhao, Tai-Jiang Mu, Hao-Xiang Guo, Ran Zhang |
| 2024 | CSCWD | Security-Oriented Architecture for Blockchain-Based Federated Learning in the Financial Industry. | Zhengxin Guo, Shizhan Chen, Chao Wang, Hongyue Wu, Kai Ma, Zhiyong Feng |
| 2024 | ECCV | StableDrag: Stable Dragging for Point-Based Image Editing. | Yutao Cui, Xiaotong Zhao, Guozhen Zhang, Shengming Cao, Kai Ma, Limin Wang |
| 2024 | EuroSys | Noctua: Towards Automated and Practical Fine-grained Consistency Analysis. | Kai Ma, Cheng Li, Enzuo Zhu, Ruichuan Chen, Feng Yan, Kang Chen |
| 2024 | ICML | Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning. | Hengkai Tan, Songming Liu, Kai Ma, Chengyang Ying, Xingxing Zhang, Hang Su, Jun Zhu |
| 2024 | WWW | Unveiling the Paradox of NFT Prosperity. | Jintao Huang, Pengcheng Xia, Jiefeng Li, Kai Ma, Gareth Tyson, Xiapu Luo, Lei Wu, Yajin Zhou, Wei Cai, Haoyu Wang |
| 2024 | SIGMETRICS | Miracle or Mirage? A Measurement Study of NFT Rug Pulls. | Jintao Huang, Ningyu He, Kai Ma, Jiang Xiao, Haoyu Wang |
| 2023 | ICASSP | Approximation Error Back-Propagation for Q-Function in Scalable Reinforcement Learning with Tree Dependence Structure. | Yuzi Yan, Yu Dong, Kai Ma, Yuan Shen |
| 2023 | IECON | Intelligent Reflective Surface and Relay Collaboration for Resource Allocation Management in Industrial Internet of Things. | Yazhou Yuan, Zhenghang Lian, Mingyue Sun, Zhixin Liu, Kai Ma |
| 2023 | MICCAI | Positive Definite Wasserstein Graph Kernel for Brain Disease Diagnosis. | Kai Ma, Xuyun Wen, Qi Zhu, Daoqiang Zhang |
| 2022 | AAAI | Boost Supervised Pretraining for Visual Transfer Learning: Implications of Self-Supervised Contrastive Representation Learning. | Jinghan Sun, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng |
| 2022 | ECCV | Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation. | Xinyu Shi, Dong Wei, Yu Zhang, Donghuan Lu, Munan Ning, Jiashun Chen, Kai Ma, Yefeng Zheng |
| 2022 | IECON | Distributed Resilient Frequency Control Based on Estimation of Sensor and Actuator Attacks in AC Microgrids. | Kai Ma, Yufei Dong, Peng Zhao, Jie Yang |
| 2022 | MICCAI | Optimal Transport Based Ordinal Pattern Tree Kernel for Brain Disease Diagnosis. | Kai Ma, Xuyun Wen, Qi Zhu, Daoqiang Zhang |
| 2021 | AAAI | Alternative Baselines for Low-Shot 3D Medical Image Segmentation - An Atlas Perspective. | Shuxin Wang, Shilei Cao, Dong Wei, Cong Xie, Kai Ma, Liansheng Wang, Deyu Meng, Yefeng Zheng |
| 2021 | BMVC | Alleviating Noisy-label Effects in Image Classification via Probability Transition Matrix. | Ziqi Zhang, Yuexiang Li, Hongxin Wei, Kai Ma, Tao Xu, Yefeng Zheng |
| 2021 | CVPR | Calibrated RGB-D Salient Object Detection. | Wei Ji, Jingjing Li, Shuang Yu, Miao Zhang, Yongri Piao, Shunyu Yao, Qi Bi, Kai Ma, Yefeng Zheng, Huchuan Lu, Li Cheng |
| 2021 | CVPR | Learning Calibrated Medical Image Segmentation via Multi-Rater Agreement Modeling. | Wei Ji, Shuang Yu, Junde Wu, Kai Ma, Cheng Bian, Qi Bi, Jingjing Li, Hanruo Liu, Li Cheng, Yefeng Zheng |
| 2021 | ICCV | Multi-Anchor Active Domain Adaptation for Semantic Segmentation. | Munan Ning, Donghuan Lu, Dong Wei, Cheng Bian, Chenglang Yuan, Shuang Yu, Kai Ma, Yefeng Zheng |
| 2021 | ICLR | Stabilized Medical Image Attacks. | Gege Qi, Lijun Gong, Yibing Song, Kai Ma, Yefeng Zheng |
| 2021 | MICCAI | Local-Global Dual Perception Based Deep Multiple Instance Learning for Retinal Disease Classification. | Qi Bi, Shuang Yu, Wei Ji, Cheng Bian, Lijun Gong, Hanruo Liu, Kai Ma, Yefeng Zheng |
| 2021 | MICCAI | Deep Reinforcement Exemplar Learning for Annotation Refinement. | Yuexiang Li, Nanjun He, Sixiang Peng, Kai Ma, Yefeng Zheng |
| 2021 | MICCAI | Seg4Reg+: Consistency Learning Between Spine Segmentation and Cobb Angle Regression. | Yi Lin, Luyan Liu, Kai Ma, Yefeng Zheng |
| 2021 | MICCAI | Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images. | Hong Liu, Dong Wei, Donghuan Lu, Yuexiang Li, Kai Ma, Liansheng Wang, Yefeng Zheng |
| 2021 | MICCAI | Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading. | Yuexiang Li, Yanping Wang, Guang Lin, Yi Lin, Dong Wei, Qirui Zhang, Kai Ma, Guangming Lu, Zhiqiang Zhang, Yefeng Zheng |
| 2021 | MICCAI | Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification. | Jinghan Sun, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng |
| 2021 | MICCAI | InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reduction. | Hong Wang, Yuexiang Li, Haimiao Zhang, Jiawei Chen, Kai Ma, Deyu Meng, Yefeng Zheng |
| 2021 | MICCAI | Training Automatic View Planner for Cardiac MR Imaging via Self-supervision by Spatial Relationship Between Views. | Dong Wei, Kai Ma, Yefeng Zheng |
| 2021 | MICCAI | Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation. | Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Jagadeesan Jayender, Kai Ma, Yefeng Zheng, Xiu Li |
| 2021 | MICCAI | A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks. | Qingsong Yao, Zecheng He, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou |
| 2021 | MICCAI | MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification. | Shuang Yu, Kai Ma, Qi Bi, Cheng Bian, Munan Ning, Nanjun He, Yuexiang Li, Hanruo Liu, Yefeng Zheng |
| 2021 | PRICAI | Rumor Detection on Microblogs Using Dual-Grained Feature via Graph Neural Networks. | Shouzhi Xu, Xiaodi Liu, Kai Ma, Fangmin Dong, Shunzhi Xiang, Changsong Bing |
| 2020 | AAAI | Generative Adversarial Networks for Video-to-Video Domain Adaptation. | Jiawei Chen, Yuexiang Li, Kai Ma, Yefeng Zheng |
| 2020 | CVPR | LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation. | Shuxin Wang, Shilei Cao, Dong Wei, Renzhen Wang, Kai Ma, Liansheng Wang, Deyu Meng, Yefeng Zheng |
| 2020 | ECCV | Dual Adversarial Network for Deep Active Learning. | Shuo Wang, Yuexiang Li, Kai Ma, Ruhui Ma, Haibing Guan, Yefeng Zheng |
| 2020 | ECCV | Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation. | Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng |
| 2020 | ECCV | Deep Image Clustering with Category-Style Representation. | Junjie Zhao, Donghuan Lu, Kai Ma, Yu Zhang, Yefeng Zheng |
| 2020 | GLOBECOM | Distributed Formation Algorithm Based on Integrated Localization and Control. | Kai Ma, Yuan Shen |
| 2020 | IJCAI | Cross-denoising Network against Corrupted Labels in Medical Image Segmentation with Domain Shift. | Qinming Zhang, Luyan Liu, Kai Ma, Cheng Zhuo, Yefeng Zheng |
| 2020 | IJCNN | Double Attention for Pathology Image Diagnosis Network with Visual Interpretability. | Hao Cheng, Kaijie Wu, Kai Ma, Jie Tian, Rui Xu, Chaochen Gu, Xinping Guan |
| 2020 | MICCAI | TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification. | Wenting Chen, Shuang Yu, Junde Wu, Kai Ma, Cheng Bian, Chunyan Chu, Linlin Shen, Yefeng Zheng |
| 2020 | MICCAI | Distractor-Aware Neuron Intrinsic Learning for Generic 2D Medical Image Classifications. | Lijun Gong, Kai Ma, Yefeng Zheng |
| 2020 | MICCAI | Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-supervised Medical Image Segmentation. | Yuexiang Li, Jiawei Chen, Xinpeng Xie, Kai Ma, Yefeng Zheng |
| 2020 | MICCAI | GREEN: a Graph REsidual rE-ranking Network for Grading Diabetic Retinopathy. | Shaoteng Liu, Lijun Gong, Kai Ma, Yefeng Zheng |
| 2020 | MICCAI | Learning Crisp Edge Detector Using Logical Refinement Network. | Luyan Liu, Kai Ma, Yefeng Zheng |
| 2020 | MICCAI | Cerebral Aneurysm Rupture Risk Estimation Using XGBoost and Fully Connected Neural Network. | Yanfei Liu, Yunqiao Yang, Yi Lin, Yuexiang Li, Dong Wei, Kai Ma, Yefeng Zheng |
| 2020 | MICCAI | Superpixel-Guided Label Softening for Medical Image Segmentation. | Hang Li, Dong Wei, Shilei Cao, Kai Ma, Liansheng Wang, Yefeng Zheng |
| 2020 | MICCAI | A Macro-Micro Weakly-Supervised Framework for AS-OCT Tissue Segmentation. | Munan Ning, Cheng Bian, Donghuan Lu, Hong-Yu Zhou, Shuang Yu, Chenglang Yuan, Yang Guo, Yaohua Wang, Kai Ma, Yefeng Zheng |
| 2020 | MICCAI | Ensembled ResUnet for Anatomical Brain Barriers Segmentation. | Munan Ning, Cheng Bian, Chenglang Yuan, Kai Ma, Yefeng Zheng |
| 2020 | MICCAI | Revisiting Rubik's Cube: Self-supervised Learning with Volume-Wise Transformation for 3D Medical Image Segmentation. | Xing Tao, Yuexiang Li, Wenhui Zhou, Kai Ma, Yefeng Zheng |
| 2020 | MICCAI | Learning and Exploiting Interclass Visual Correlations for Medical Image Classification. | Dong Wei, Shilei Cao, Kai Ma, Yefeng Zheng |
| 2020 | MICCAI | Leveraging Undiagnosed Data for Glaucoma Classification with Teacher-Student Learning. | Junde Wu, Shuang Yu, Wenting Chen, Kai Ma, Rao Fu, Hanruo Liu, Xiaoguang Di, Yefeng Zheng |
| 2020 | MICCAI | MI | Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng |
| 2020 | MICCAI | Instance-Aware Self-supervised Learning for Nuclei Segmentation. | Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng |
| 2020 | MICCAI | Difficulty-Aware Glaucoma Classification with Multi-rater Consensus Modeling. | Shuang Yu, Hong-Yu Zhou, Kai Ma, Cheng Bian, Chunyan Chu, Hanruo Liu, Yefeng Zheng |
| 2020 | MICCAI | Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs by Comparing Image Representations. | Hong-Yu Zhou, Shuang Yu, Cheng Bian, Yifan Hu, Kai Ma, Yefeng Zheng |
| 2020 | USENIX | DADI: Block-Level Image Service for Agile and Elastic Application Deployment. | Huiba Li, Yifan Yuan, Rui Du, Kai Ma, Lanzheng Liu, Windsor Hsu |
| 2019 | CVPR | X2CT-GAN: Reconstructing CT From Biplanar X-Rays With Generative Adversarial Networks. | Xingde Ying, Heng Guo, Kai Ma, Jian Wu, Zhengxin Weng, Yefeng Zheng |
| 2019 | ICONIP | Exploration of Different Attention Mechanisms on Medical Image Segmentation. | Jie Tian, Kaijie Wu, Kai Ma, Hao Cheng, Chaocheng Gu |
| 2019 | MICCAI | Seg4Reg Networks for Automated Spinal Curvature Estimation. | Yi Lin, Hong-Yu Zhou, Kai Ma, Xin Yang, Yefeng Zheng |
| 2019 | MICCAI | Multi-task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification. | Wenao Ma, Shuang Yu, Kai Ma, Jiexiang Wang, Xinghao Ding, Yefeng Zheng |
| 2019 | MICCAI | Attentive CT Lesion Detection Using Deep Pyramid Inference with Multi-scale Booster. | Qingbin Shao, Lijun Gong, Kai Ma, Hualuo Liu, Yefeng Zheng |
| 2019 | MICCAI | Pairwise Semantic Segmentation via Conjugate Fully Convolutional Network. | Renzhen Wang, Shilei Cao, Kai Ma, Deyu Meng, Yefeng Zheng |
| 2019 | MICCAI | Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube. | Xinrui Zhuang, Yuexiang Li, Yifan Hu, Kai Ma, Yujiu Yang, Yefeng Zheng |
| 2018 | CVPR | Generating Synthetic X-Ray Images of a Person From the Surface Geometry. | Brian Teixeira, Vivek K. Singh, Terrence Chen, Kai Ma, Birgi Tamersoy, Yifan Wu, Elena Balashova, Dorin Comaniciu |
| 2018 | ICARCV | A Demand-Side Pricing Strategy Based on Bayesian Game. | Jie Yang, Zhenhua Tian, Kai Ma |
| 2018 | ICONIP | A Pathology Image Diagnosis Network with Visual Interpretability and Structured Diagnostic Report. | Kai Ma, Kaijie Wu, Hao Cheng, Chaochen Gu, Rui Xu, Xinping Guan |
| 2018 | MICCAI | Towards Generating Personalized Volumetric Phantom from Patient's Surface Geometry. | Yifan Wu, Vivek K. Singh, Brian Teixeira, Kai Ma, Birgi Tamersoy, Andreas Krauss, Terrence Chen |
| 2017 | MICCAI | Multimodal Image Registration with Deep Context Reinforcement Learning. | Kai Ma, Jiangping Wang, Vivek Kumar Singh, Birgi Tamersoy, Yao-Jen Chang, Andreas Wimmer, Terrence Chen |
| 2017 | MICCAI | DARWIN: Deformable Patient Avatar Representation With Deep Image Network. | Vivek Kumar Singh, Kai Ma, Birgi Tamersoy, Yao-Jen Chang, Andreas Wimmer, Thomas O'Donnell, Terrence Chen |
| 2016 | ECCV | Enhancing Place Recognition Using Joint Intensity - Depth Analysis and Synthetic Data. | Elena Sizikova, Vivek Kumar Singh, Bogdan Georgescu, Maciej Halber, Kai Ma, Terrence Chen |
| 2016 | VTC | Joint Relay Selection and Power Allocation in Underwater Cognitive Acoustic Cooperative System with Limited Feedback. | Lei Yan, Xinbin Li, Kai Ma, Jing Yan, Song Han |
| 2015 | ICCV | BodyPrint: Pose Invariant 3D Shape Matching of Human Bodies. | Jiangping Wang, Kai Ma, Vivek Kumar Singh, Thomas S. Huang, Terrence Chen |
| 2015 | ICONIP | MonkeyDroid: Detecting Unreasonable Privacy Leakages of Android Applications. | Kai Ma, Mengyang Liu, Shanqing Guo, Tao Ban |
| 2014 | HPCA | Exploiting thermal energy storage to reduce data center capital and operating expenses. | Wenli Zheng, Kai Ma, Xiaorui Wang |
| 2014 | ICARCV | Cooperative demand response using repeated game for price-anticipating buildings in smart grid. | Kai Ma, Guoqiang Hu, Costas J. Spanos |
| 2014 | ICPR | Compound Exemplar Based Object Detection by Incremental Random Forest. | Kai Ma, Jezekiel Ben-Arie |
| 2014 | MICCAI | Estimating a Patient Surface Model for Optimizing the Medical Scanning Workflow. | Vivek Kumar Singh, Yao-Jen Chang, Kai Ma, Michael Wels, Grzegorz Soza, Terrence Chen |
| 2014 | TASE | Choreography Scenario-Based Test Data Generation. | Kai Ma, Jin Wang, Hongli Yang, Jun Yan, Jian Zhang, Shengchao Qin |
| 2013 | TASE | Towards Conformance Testing of Choreography Based on Scenario. | Hongli Yang, Kai Ma, Cheng Deng, Husheng Liao, Jun Yan, Jian Zhang |
| 2012 | CVPR | Vector array based Multi-View Face Detection with compound exemplars. | Kai Ma, Jezekiel Ben-Arie |
| 2012 | ICPP | GreenGPU: A Holistic Approach to Energy Efficiency in GPU-CPU Heterogeneous Architectures. | Kai Ma, Xue Li, Wei Chen, Chi Zhang, Xiaorui Wang |
| 2012 | ICPR | Multi-view multi-class object detection via exemplar compounding. | Kai Ma, Jezekiel Ben-Arie |
| 2011 | ICCD | DPPC: Dynamic power partitioning and capping in chip multiprocessors. | Kai Ma, Xiaorui Wang, Yefu Wang |
| 2011 | ISCA | Scalable power control for many-core architectures running multi-threaded applications. | Kai Ma, Xue Li, Ming Chen, Xiaorui Wang |
| 2010 | ICPP | Achieving Fair or Differentiated Cache Sharing in Power-Constrained Chip Multiprocessors. | Xiaorui Wang, Kai Ma, Yefu Wang |
| 2009 | ISCA | Temperature-constrained power control for chip multiprocessors with online model estimation. | Yefu Wang, Kai Ma, Xiaorui Wang |