| 2025 | AAAI | Towards Robust Visual Question Answering via Prompt-Driven Geometric Harmonization. | Yishu Liu, Jiawei Zhu, Congcong Wen, Guangming Lu, Hui Lin, Bingzhi Chen |
| 2025 | AAAI | ALRMR-GEC: Adjusting Learning Rate Based on Memory Rate to Optimize the Edit Scorer for Grammatical Error Correction. | Zhixiao Wu, Yao Lu, Jie Wen, Guangming Lu |
| 2025 | CVPR | Recognition-Synergistic Scene Text Editing. | Zhengyao Fang, Pengyuan Lyu, Jingjing Wu, Chengquan Zhang, Jun Yu, Guangming Lu, Wenjie Pei |
| 2025 | CVPR | Learning Compatible Multi-Prize Subnetworks for Asymmetric Retrieval. | Yushuai Sun, Zikun Zhou, Dongmei Jiang, Yaowei Wang, Jun Yu, Guangming Lu, Wenjie Pei |
| 2025 | ICCV | Enhancing Spatial Reasoning in Multimodal Large Language Models Through Reasoning-Based Segmentation. | Zhenhua Ning, Zhuotao Tian, Shaoshuai Shi, Guangming Lu, Daojing He, Wenjie Pei, Li Jiang |
| 2025 | ICCV | D | Wenjie Pei, Qizhong Tan, Guangming Lu, Jiandong Tian, Jun Yu |
| 2025 | ICML | SSHR: More Secure Generative Steganography with High-Quality Revealed Secret Images. | Jiannian Wang, Yao Lu, Guangming Lu |
| 2025 | ICML | Efficient and Separate Authentication Image Steganography Network. | Junchao Zhou, Yao Lu, Jie Wen, Guangming Lu |
| 2025 | IJCAI | Cause-Effect Driven Optimization for Robust Medical Visual Question Answering with Language Biases. | Huanjia Zhu, Yishu Liu, Xiaozhao Fang, Guangming Lu, Bingzhi Chen |
| 2025 | MICCAI | Med-BiasX: Robust Medical Visual Question Answering with Language Biases. | Huanjia Zhu, Yishu Liu, Chengju Zhou, Guangming Lu, Bingzhi Chen |
| 2024 | AAAI | CariesXrays: Enhancing Caries Detection in Hospital-Scale Panoramic Dental X-rays via Feature Pyramid Contrastive Learning. | Bingzhi Chen, Sisi Fu, Yishu Liu, Jiahui Pan, Guangming Lu, Zheng Zhang |
| 2024 | AAAI | SA²VP: Spatially Aligned-and-Adapted Visual Prompt. | Wenjie Pei, Tongqi Xia, Fanglin Chen, Jinsong Li, Jiandong Tian, Guangming Lu |
| 2024 | AAAI | Robust 3D Tracking with Quality-Aware Shape Completion. | Jingwen Zhang, Zikun Zhou, Guangming Lu, Jiandong Tian, Wenjie Pei |
| 2024 | CVPR | Domain-Rectifying Adapter for Cross-Domain Few-Shot Segmentation. | Jiapeng Su, Qi Fan, Wenjie Pei, Guangming Lu, Fanglin Chen |
| 2024 | ECCV | WeCromCL: Weakly Supervised Cross-Modality Contrastive Learning for Transcription-Only Supervised Text Spotting. | Jingjing Wu, Zhengyao Fang, Pengyuan Lyu, Chengquan Zhang, Fanglin Chen, Guangming Lu, Wenjie Pei |
| 2024 | ECCV | UniVoxel: Fast Inverse Rendering by Unified Voxelization of Scene Representation. | Shuang Wu, Songlin Tang, Guangming Lu, Jianzhuang Liu, Wenjie Pei |
| 2024 | ICASSP | TAROT: A Hierarchical Framework with Multitask co-pretraining on Semi-Structured Data Towards Effective Person-Job fit. | Yihan Cao, Xu Chen, Lun Du, Hao Chen, Qiang Fu, Shi Han, Yushu Du, Yanbin Kang, Guangming Lu, Zi Li |
| 2024 | ICASSP | Decoupled Self-Adaptive Distribution Regularization for Few-Shot Image Classification. | Bingzhi Chen, Haoming Zhou, Yishu Liu, Biqing Zeng, Guangming Lu, Zheng Zhang |
| 2024 | IJCAI | Enhancing Cross-Modal Retrieval via Visual-Textual Prompt Hashing. | Bingzhi Chen, Zhongqi Wu, Yishu Liu, Biqing Zeng, Guangming Lu, Zheng Zhang |
| 2024 | IJCAI | QFormer: An Efficient Quaternion Transformer for Image Denoising. | Bo Jiang, Yao Lu, Guangming Lu, Bob Zhang |
| 2024 | IJCAI | Implicit Prompt Learning for Image Denoising. | Yao Lu, Bo Jiang, Guangming Lu, Bob Zhang |
| 2024 | MICCAI | Medical Cross-Modal Prompt Hashing with Robust Noisy Correspondence Learning. | Yishu Liu, Zhongqi Wu, Bingzhi Chen, Zheng Zhang, Guangming Lu |
| 2024 | WSDM | Professional Network Matters: Connections Empower Person-Job Fit. | Hao Chen, Lun Du, Yuxuan Lu, Qiang Fu, Xu Chen, Shi Han, Yanbin Kang, Guangming Lu, Zi Li |
| 2023 | ICCV | Hierarchical Contrastive Learning for Pattern-Generalizable Image Corruption Detection. | Xin Feng, Yifeng Xu, Guangming Lu, Wenjie Pei |
| 2023 | ICIP | Differential Enhanced Siamese Segmentation Network for Printed Label Defect Detection. | Dongming Li, Yingjian Li, Jinxing Li, Guangming Lu |
| 2023 | MICCAI | Combating Medical Label Noise via Robust Semi-supervised Contrastive Learning. | Bingzhi Chen, Zhanhao Ye, Yishu Liu, Zheng Zhang, Jiahui Pan, Biqing Zeng, Guangming Lu |
| 2023 | WSDM | DIGMN: Dynamic Intent Guided Meta Network for Differentiated User Engagement Forecasting in Online Professional Social Platforms. | Feifan Li, Lun Du, Qiang Fu, Shi Han, Yushu Du, Guangming Lu, Zi Li |
| 2022 | ACCV | PPR-Net: Patch-Based Multi-scale Pyramid Registration Network for Defect Detection of Printed Label. | Dongming Li, Yingjian Li, Jinxing Li, Guangming Lu |
| 2022 | APWEB | High-Order Correlation Embedding for Large-Scale Multi-modal Hashing. | Junfeng An, Yingjian Li, Zheng Zhang, Yongyong Chen, Guangming Lu |
| 2022 | CVPR | Learning Modal-Invariant and Temporal-Memory for Video-based Visible-Infrared Person Re-Identification. | Xinyu Lin, Jinxing Li, Zeyu Ma, Huafeng Li, Shuang Li, Kaixiong Xu, Guangming Lu, David Zhang |
| 2022 | ECCV | Few-Shot Object Detection by Knowledge Distillation Using Bag-of-Visual-Words Representations. | Wenjie Pei, Shuang Wu, Dianwen Mei, Fanglin Chen, Jiandong Tian, Guangming Lu |
| 2022 | ECCV | Multi-faceted Distillation of Base-Novel Commonality for Few-Shot Object Detection. | Shuang Wu, Wenjie Pei, Dianwen Mei, Fanglin Chen, Jiandong Tian, Guangming Lu |
| 2022 | EMNLP | UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition. | Guimin Hu, Ting-En Lin, Yi Zhao, Guangming Lu, Yuchuan Wu, Yongbin Li |
| 2022 | ICANN | Correlation-Based Transformer Tracking. | Minghan Zhong, Fanglin Chen, Jun Xu, Guangming Lu |
| 2022 | ICASSP | Multi-Modal Emotion Recognition with Self-Guided Modality Calibration. | Mixiao Hou, Zheng Zhang, Guangming Lu |
| 2022 | ICASSP | DHWP: Learning High-Quality Short Hash Codes Via Weight Pruning. | Zeyu Ma, Yuhang Guo, Xiao Luo, Chong Chen, Minghua Deng, Wei Cheng, Guangming Lu |
| 2022 | IJCAI | Improved Deep Unsupervised Hashing with Fine-grained Semantic Similarity Mining for Multi-Label Image Retrieval. | Zeyu Ma, Xiao Luo, Yingjie Chen, Mixiao Hou, Jinxing Li, Minghua Deng, Guangming Lu |
| 2022 | MICCAI | Domain Adaptive Nuclei Instance Segmentation and Classification via Category-Aware Feature Alignment and Pseudo-Labelling. | Canran Li, Dongnan Liu, Haoran Li, Zheng Zhang, Guangming Lu, Xiaojun Chang, Weidong Cai |
| 2022 | MICCAI | ConTrans: Improving Transformer with Convolutional Attention for Medical Image Segmentation. | Ailiang Lin, Jiayu Xu, Jinxing Li, Guangming Lu |
| 2021 | CVPR | Prototype-Supervised Adversarial Network for Targeted Attack of Deep Hashing. | Xunguang Wang, Zheng Zhang, Baoyuan Wu, Fumin Shen, Guangming Lu |
| 2021 | EMNLP | Bidirectional Hierarchical Attention Networks based on Document-level Context for Emotion Cause Extraction. | Guimin Hu, Guangming Lu, Yi Zhao |
| 2021 | ICASSP | Hierarchical Network Based on the Fusion of Static and Dynamic Features for Speech Emotion Recognition. | Qi Cao, Mixiao Hou, Bingzhi Chen, Zheng Zhang, Guangming Lu |
| 2021 | ICRA | A Bipolar Myoelectric Sensor-Enabled Human-Machine Interface Based On Spinal Module Activations. | Chunzhi Yi, Feng Jiang, Guangming Lu, Chifu Yang, Zhen Ding, Jianfei Zhu, Jie Liu |
| 2021 | MICCAI | Diagnosis of Hippocampal Sclerosis from Clinical Routine Head MR Images Using Structure-constrained Super-Resolution Network. | Zehong Cao, Feng Shi, Qiang Xu, Gaoping Liu, Tianyang Sun, Xiaodan Xing, Yichu He, Guangming Lu, Zhiqiang Zhang, Dinggang Shen |
| 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 | SIGIR | Targeted Attack and Defense for Deep Hashing. | Xunguang Wang, Zheng Zhang, Guangming Lu, Yong Xu |
| 2020 | CVPR | Filter Grafting for Deep Neural Networks. | Fanxu Meng, Hao Cheng, Ke Li, Zhixin Xu, Rongrong Ji, Xing Sun, Guangming Lu |
| 2019 | AAAI | Super Sparse Convolutional Neural Networks. | Yao Lu, Guangming Lu, Bob Zhang, Yuanrong Xu, Jinxing Li |
| 2019 | ACML | Separate Loss for Basic and Compound Facial Expression Recognition in the Wild. | Yingjian Li, Yao Lu, Jinxing Li, Guangming Lu |
| 2019 | ICIP | Stable Pore Detection for High-Resolution Fingerprint based on a CNN Detector. | Zuolin Shen, Yuanrong Xu, Jinxing Li, Guangming Lu |
| 2019 | MICCAI | Weakly Supervised Confidence Learning for Brain MR Image Dense Parcellation. | Bin Xiao, Xiaoqing Cheng, Qingfeng Li, Qian Wang, Lichi Zhang, Dongming Wei, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Guangming Lu, Feng Shi |
| 2018 | IJCAI | AAR-CNNs: Auto Adaptive Regularized Convolutional Neural Networks. | Yao Lu, Guangming Lu, Yuanrong Xu, Bob Zhang |
| 2018 | PRDC | Methods for Approximate Adders Reliability Estimation Based on PTM Model. | Jianhui Jiang, Guangming Lu, Zhen Wang |
| 2017 | ICPRAM | Light Intensity Automatic Adjustment Technology and Its Application in Palmprint Recognition System. | Guangming Lu, Xu Liang, Bing Xie |
| 2016 | ICPRAM | Fingerprint Pores Matching based on Improved Deterministic Annealing Algorithm. | Guangming Lu, Yuanrong Xu, Liying Ye |
| 2010 | CVPR | Efficient joint 2D and 3D palmprint matching with alignment refinement. | Wei Li, Lei Zhang, David Zhang, Guangming Lu, Jingqi Yan |
| 2010 | ICMLC | Palmprint recognition using Gabor magnitude code. | Zhenhua Guo, Guangming Lu |
| 2004 | ECCV | Palmprint Authentication System for Civil Applications. | David Zhang, Guangming Lu, Adams Wai-Kin Kong, Michael Wong |
| 2000 | DAC | MorphoSys: case study of a reconfigurable computing system targeting multimedia applications. | Hartej Singh, Guangming Lu, Eliseu M. Chaves Filho, Rafael Maestre, Ming-Hau Lee, Fadi J. Kurdahi, Nader Bagherzadeh |
| 1999 | EuroPar | The MorphoSys Parallel Reconfigurable System. | Guangming Lu, Hartej Singh, Ming-Hau Lee, Nader Bagherzadeh, Fadi J. Kurdahi, Eliseu M. Chaves Filho |