Yanming Guo

96 papers A* 7A 3B 4Misc 2Journal 63Unranked 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
BackdoorAgent: A Unified Framework for Backdoor Attacks on LLM-based Agents.
CoRR
Yunhao Feng, Yige Li, Yutao Wu, Yingshui Tan, Yanming Guo, Yifan Ding, Kun Zhai, Xingjun Ma, Yu-Gang Jiang
2026 J jnl
GRAIN: Gravity-resistance adaptive framework for identifying influential nodes using multi-order structural diversity.
Inf. Process. Manag.
Yirun Ruan, Xinghua Qin, Sizheng Liu, Mengmeng Zhang, Jun Tang, Yanming Guo, Tianyuan Yu
2026 A* conf
Rep Deep & Machine Learning: Exemplar-Free Continual Video Action Recognition via Slow-Fast Collaborative Learning.
AAAI
Xueyi Zhang, Chengwei Zhang, Zheng Li, Xiyu Wang, Siqi Cai, Mingrui Lao, Yanming Guo, Huiping Zhuang
2026 J jnl
Unraveling domain styles for enhanced cross-domain generalization.
Knowl. Based Syst.
Zhonghua Yao, Juncheng Lian, Qiang Zhang, Yanming Guo
2026 J jnl
VMAD: Visual-Enhanced Multimodal Large Language Model for Zero-Shot Anomaly Detection.
IEEE Trans Autom. Sci. Eng.
Huilin Deng, Hongchen Luo, Wei Zhai, Yanming Guo, Yang Cao, Yu Kang
2025 J jnl
A survey of security threats in federated learning.
Complex Intell. Syst.
Yunhao Feng, Yanming Guo, Yinjian Hou, Yulun Wu, Mingrui Lao, Tianyuan Yu, Gang Liu
2025 — conf
An Investigation of Parameter Efficient Federated Learning with Foundation Model.
ICMLT
Zeyuan Wang, Zhendu Li, Yanming Guo, Jun Tang
2025 — conf
Boosting Adversarial Robustness Through Structure-Guided Adversarial Distillation.
ICIC (2)
Xiaolong Li, Yanming Guo, Chengsi Du, Dengjin Li, Jie Jiang, Mingrui Lao
2025 A* conf
Boosting Discriminability for Robust Multimodal Entity Linking with Visual Modality Missing.
SIGIR
Mingrui Lao, Zheng Li, Yanming Guo, Xueyi Zhang, Siqi Cai, Zhaoyun Ding, Haizhou Li
2025 J jnl
CME-YOLO: A Cross-Modal Enhanced YOLO Algorithm for Adverse Weather Object Detection in Autonomous Driving.
Big Data Cogn. Comput.
Yifei Yuan, Yingmei Wei, Yanming Guo, Jiangming Chen, Tingshuai Jiang
2025 J jnl
COLA: Context-Aware Language-Driven Test-Time Adaptation.
IEEE Trans. Image Process.
Aiming Zhang, Tianyuan Yu, Liang Bai, Jun Tang, Yanming Guo, Yirun Ruan, Yun Zhou, Zhihe Lu
2025 J jnl
COLA: Context-aware Language-driven Test-time Adaptation.
CoRR
Aiming Zhang, Tianyuan Yu, Liang Bai, Jun Tang, Yanming Guo, Yirun Ruan, Yun Zhou, Zhihe Lu
2025 A* conf
Choose Your Expert: Uncertainty-Guided Expert Selection for Continual Deepfake Detection.
ACM Multimedia
Xueyi Zhang, Peiyin Zhu, Jinping Sui, Xiaoda Yang, Jiahe Tian, Mingrui Lao, Siqi Cai, Yanming Guo, Jun Tang
2025 — conf
Curr-ReFT: Overcoming Training Bottlenecks in Small-scale Vision-Language Models via Curriculum Reinforcement Finetuning.
EMNLP (Findings)
Huilin Deng, Ding Zou, Xinghao Zhao, Rui Ma, Yanming Guo, Yang Cao, Yu Kang
2025 J jnl
Dataset distillation with stochastic neural networks.
Complex Intell. Syst.
Zeyuan Wang, Tianyuan Yu, Liang Bai, Jun Tang, Yanming Guo, Yirun Ruan
2025 — conf
Event-Based Binary Neural Networks for Efficient and Accurate Lip Reading.
MLIC
Xueyi Zhang, Jialu Sun, Peiyin Zhu, Bowen Wang, Mingrui Lao, Yanming Guo
2025 B conf
Exploiting Event Temporal Dynamics and Sparsity Characteristics for RGB-Event Fusion Semantic Segmentation.
ICMR
Yitong Zhang, Yingmei Wei, Yanming Guo, Jiangming Chen, Yi Zhong
2025 J jnl
FCAT: Federated causal adversarial training.
Knowl. Based Syst.
Yunhao Feng, Yanming Guo, Mingrui Lao, Yulun Wu, Yishan Li, Yuxiang Xie
2025 J jnl
Fed-GCC: Global classifier consensus for conventional/task-free federated class-incremental learning.
Knowl. Based Syst.
Dianqi Liu, Liang Bai, Yanming Guo, Jun Tang, Yirun Ruan, Da Li, Tianyuan Yu
2025 J jnl
Few-shot event-based action recognition.
Neural Networks
Zanxi Ruan, Nan Pu, Jiangming Chen, Songqun Gao, Yanming Guo, Qiuyu Kong, Yuxiang Xie, Yingmei Wei
2025 J jnl
GLC: A dual-perspective approach for identifying influential nodes in complex networks.
Expert Syst. Appl.
Yirun Ruan, Sizheng Liu, Jun Tang, Yanming Guo, Tianyuan Yu
2025 J jnl
Group Reasoning Emission Estimation Networks.
CoRR
Yanming Guo, Xiao Qian, Kevin Credit, Jin Ma
2025 J jnl
Important people detection based on multi-level key actor interaction graph.
Signal Image Video Process.
Haifeng Sang, Yanming Guo
2025 — conf
Learning from Peers: Collaborative Ensemble Adversarial Training.
PRCV (1)
Dengjin Li, Yanming Guo, Yuxiang Xie, Zheng Li, Jiangming Chen, Xiaolong Li, Mingrui Lao
2025 J jnl
Learning from Peers: Collaborative Ensemble Adversarial Training.
CoRR
Dengjin Li, Yanming Guo, Yuxiang Xie, Zheng Li, Jiangming Chen, Xiaolong Li, Mingrui Lao
2025 J jnl
MoE3D: Mixture of Experts meets Multi-Modal 3D Understanding.
CoRR
Yu Li, Yuenan Hou, Yingmei Wei, Xinge Zhu, Yuexin Ma, Wenqi Shao, Yanming Guo
2025 J jnl
PAUL: Uncertainty-Guided Partition and Augmentation for Robust Cross-View Geo-Localization under Noisy Correspondence.
CoRR
Zheng Li, Yanming Guo, WenZhe Liu, Xueyi Zhang, Zhaoyun Ding, Long Xu, Mingrui Lao
2025 J jnl
Polarization Calibration Verification of the Directional Polarimetric Camera on the Terrestrial Ecosystem Carbon Inventory Satellite.
IEEE Trans. Geosci. Remote. Sens.
Donghai Xie, Liuyan Guo, Yu Wu, Qian Chen, Xin Zuo, Tongyuan Zou, Hailiang Gao, Yuting Li, Lili Zhang, Yutang Yu, Ran Xiao, Yinzhen Wang, Chang Yi, Zeyu Wang, Shi Jin, Yanming Guo, Yuhan Wu
2025 J jnl
Revisit the Imbalance Optimization in Multi-task Learning: An Experimental Analysis.
CoRR
Yihang Guo, Tianyuan Yu, Liang Bai, Yanming Guo, Yirun Ruan, William Li, Weishi Zheng
2025 A* conf
TrustCLIP: Learning from Noisy Labels via Semantic Label Verification and Trust-aligned Gradient Projection.
ACM Multimedia
Xueyi Zhang, Peiyin Zhu, Yuan Liao, Xiyu Wang, Mingrui Lao, Siqi Cai, Yanming Guo, Haizhou Li
2025 J jnl
Video-based Generalized Category Discovery via Memory-Guided Consistency-Aware Contrastive Learning.
CoRR
Zhang Jing, Pu Nan, Xie Yu Xiang, Yanming Guo, Lu Qianqi, Zou Shiwei, Yan Jie, Chen Yan
2025 — conf
VideoMamba-LLaVA: Efficient Video Question Answering with Selective Scanning and Lightweight Inference.
ICMLT
Rui Zhu, Tianyuan Yu, Yanming Guo
2024 Misc conf
Boosting Adversarial Robustness Distillation Via Hybrid Decomposed Knowledge.
ICASSP
Yulun Wu, Mingrui Lao, Yanming Guo, Dongmei Chen, Tianyuan Yu
2024 J jnl
Boosting adversarial robustness via feature refinement, suppression, and alignment.
Complex Intell. Syst.
Yulun Wu, Yanming Guo, Dongmei Chen, Tianyuan Yu, Huaxin Xiao, Yuanhao Guo, Liang Bai
2024 J jnl
ExioML: Eco-economic dataset for Machine Learning in Global Sectoral Sustainability.
CoRR
Yanming Guo, Jin Ma
2024 J jnl
Exploring better image captioning with grid features.
Complex Intell. Syst.
Jie Yan, Yuxiang Xie, Yanming Guo, Yingmei Wei, Xidao Luan
2024 J jnl
Generation and Countermeasures of adversarial examples on vision: a survey.
Artif. Intell. Rev.
Jiangfan Liu, Yishan Li, Yanming Guo, Yu Liu, Jun Tang, Ying Nie
2024 J jnl
Hybrid attentive prototypical network for few-shot action recognition.
Complex Intell. Syst.
Zanxi Ruan, Yingmei Wei, Yanming Guo, Yuxiang Xie
2024 A* conf
Language Without Borders: A Dataset and Benchmark for Code-Switching Lip Reading.
NeurIPS
Xueyi Zhang, Mingrui Lao, Peng Zhao, Jun Tang, Yanming Guo, Siqi Cai, Xianghu Yue, Haizhou Li
2024 J jnl
Multimodal Multilabel Classification by CLIP.
CoRR
Yanming Guo
2024 J jnl
Prioritized Local Matching Network for Cross-Category Few-Shot Anomaly Detection.
IEEE Trans. Artif. Intell.
Huilin Deng, Hongchen Luo, Wei Zhai, Yanming Guo, Yang Cao, Yu Kang
2024 J jnl
Quantitative Global Carbon Inequality Network.
CoRR
Yanming Guo, Jin Ma
2024 J jnl
RDAT: an efficient regularized decoupled adversarial training mechanism.
Int. J. Multim. Inf. Retr.
Yishan Li, Yanming Guo, Yulun Wu, Yuxiang Xie, Mingrui Lao, Tianyuan Yu, Yirun Ruan
2023 J jnl
Advancing Ultra-High Precision in Satellite-Ground Time-Frequency Comparison: Ground-Based Experiment and Simulation Verification for the China Space Station.
Remote. Sens.
Yanming Guo, Shuaihe Gao, Zhibing Pan, Pei Wang, Xuewen Gong, Jiangyu Chen, Kun Song, Zhen Zhong, Yaoli Yue, Lishu Guo, Yan Bai, Yuping Gao, Xiaochun Lu, Shougang Zhang
2023 J jnl
Augmentation is AUtO-Net: Augmentation-Driven Contrastive Multiview Learning for Medical Image Segmentation.
CoRR
Yanming Guo
2023 J jnl
CoCoOpter: Pre-train, prompt, and fine-tune the vision-language model for few-shot image classification.
Int. J. Multim. Inf. Retr.
Jie Yan, Yuxiang Xie, Yanming Guo, Yingmei Wei, Xiaoping Zhang, Xidao Luan
2023 J jnl
Deep Learning for Video-Text Retrieval: a Review.
CoRR
Cunjuan Zhu, Qi Jia, Wei Chen, Yanming Guo, Yu Liu
2023 J jnl
Deep learning for video-text retrieval: a review.
Int. J. Multim. Inf. Retr.
Cunjuan Zhu, Qi Jia, Wei Chen, Yanming Guo, Yu Liu
2023 — conf
SCaTNet: A Novel Self-supervised Contrastive Framework with Spatial-Channel Attention and Temporal Transformer for Few-Shot Action Recognition.
ACAI
Zanxi Ruan, Yingmei Wei, Yanming Guo, Yuxiang Xie, Yifei Yuan
2023 J jnl
Special Issue on Open-Domain Image Retrieval in the Wild.
Int. J. Multim. Inf. Retr.
Yu Liu, Yanming Guo, Yusuke Matsui
2022 J jnl
A New Space-to-Ground Microwave-Based Two-Way Time Synchronization Method for Next-Generation Space Atomic Clocks.
Remote. Sens.
Yanming Guo, Shuaihe Gao, Yan Bai, Zhibing Pan, Yinhua Liu, Xiaochun Lu, Shougang Zhang
2022 — conf
Automatic Multi-source Data Fusion Technique of Powerline Corridor using UAV Lidar.
ISC2
Chao Su, Xiaomei Wu, Yanming Guo, Chun Sing Lai, Liang Xu, Xuan Zhao
2022 J jnl
Caption TLSTMs: combining transformer with LSTMs for image captioning.
Int. J. Multim. Inf. Retr.
Jie Yan, Yuxiang Xie, Xidao Luan, Yanming Guo, Quanzhi Gong, Suru Feng
2022 J jnl
Chinese named entity recognition: The state of the art.
Neurocomputing
Pan Liu, Yanming Guo, Fenglei Wang, Guohui Li
2022 J jnl
FCT: fusing CNN and transformer for scene classification.
Int. J. Multim. Inf. Retr.
Yuxiang Xie, Jie Yan, Lai Kang, Yanming Guo, Jiahui Zhang, Xidao Luan
2022 J jnl
Few2Decide: towards a robust model via using few neuron connections to decide.
Int. J. Multim. Inf. Retr.
Jian Li, Yanming Guo, Songyang Lao, Xiang Zhao, Liang Bai, Haoran Wang
2022 J jnl
MHA-WoML: Multi-head attention and Wasserstein-OT for few-shot learning.
Int. J. Multim. Inf. Retr.
Junyan Yang, Jie Jiang, Yanming Guo
2022 Misc conf
VQA-BC: Robust Visual Question Answering Via Bidirectional Chaining.
ICASSP
Mingrui Lao, Yanming Guo, Wei Chen, Nan Pu, Michael S. Lew
2021 A conf
A Language Prior Based Focal Loss for Visual Question Answering.
ICME
Mingrui Lao, Yanming Guo, Yu Liu, Michael S. Lew
2021 — conf
An Inter-Satellite Two-Way Time Synchronization Method Based on Pseudo-Range Conversion.
ICCT
Yanming Guo, Yan Bai, Decai Zou, Feng Zhang, Shuaihe Gao, Jian Zhang, Zhibing Pan, Xiaochun Lu
2021 B conf
DCA-CLA: A scRNA-seq Classification Framework based on Deep Count Autoencoder.
IJCNN
Yulun Wu, Yanming Guo, Jian Li, Songyang Lao, Jinlin Guo, Haoran Wang
2021 A* conf
From Superficial to Deep: Language Bias driven Curriculum Learning for Visual Question Answering.
ACM Multimedia
Mingrui Lao, Yanming Guo, Yu Liu, Wei Chen, Nan Pu, Michael S. Lew
2021 J jnl
Multi-stage hybrid embedding fusion network for visual question answering.
Neurocomputing
Mingrui Lao, Yanming Guo, Nan Pu, Wei Chen, Yu Liu, Michael S. Lew
2021 J jnl
Relativistic Effects on Satellite-Ground Two-Way Precise Time Synchronization.
Inf.
Yanming Guo, Yan Bai, Shuaihe Gao, Zhibing Pan, Zibin Han, Decai Zou, Xiaochun Lu, Shougang Zhang
2021 J jnl
Towards a high robust neural network via feature matching.
Int. J. Multim. Inf. Retr.
Jian Li, Yanming Guo, Songyang Lao, Yulun Wu, Liang Bai, Yingmei Wei
2020 — conf
A survey of text classification models.
RICAI
JinXiong Yang, Liang Bai, Yanming Guo
2020 J jnl
AAE-SC: A scRNA-Seq Clustering Framework Based on Adversarial Autoencoder.
IEEE Access
Yulun Wu, Yanming Guo, Yandong Xiao, Songyang Lao
2020 — conf
Development and Application of an Intensive Care Medical Data Set for Deep Learning.
IEEE BigData
Shangping Zhao, Pan Liu, Guanxiu Tang, Yanming Guo, Guohui Li
2020 J jnl
PFNet: a novel part fusion network for fine-grained visual categorization.
Multim. Tools Appl.
Jingyun Liang, Jinlin Guo, Yanming Guo, Songyang Lao
2020 J jnl
Satellite-Ground Two-Way Measuring Method and Performance Evaluation of BDS-3 Inter-Satellite Link System.
IEEE Access
Yan Bai, Yanming Guo, Xin Wang, Xiaochun Lu
2020 J jnl
Special issue on deep learning in image and video retrieval.
Int. J. Multim. Inf. Retr.
Ard Oerlemans, Yanming Guo, Michael S. Lew, Tat-Seng Chua
2019 J jnl
Combining Convolutional Neural Network and Photometric Refinement for Accurate Homography Estimation.
IEEE Access
Lai Kang, Yingmei Wei, Yuxiang Xie, Jie Jiang, Yanming Guo
2019 J jnl
CycleMatch: A cycle-consistent embedding network for image-text matching.
Pattern Recognit.
Yu Liu, Yanming Guo, Li Liu, Erwin M. Bakker, Michael S. Lew
2018 A conf
A Dual Prediction Network for Image Captioning.
ICME
Yanming Guo, Yu Liu, Maaike H. T. de Boer, Li Liu, Michael S. Lew
2018 J jnl
A review of semantic segmentation using deep neural networks.
Int. J. Multim. Inf. Retr.
Yanming Guo, Yu Liu, Theodoros Georgiou, Michael S. Lew
2018 J jnl
Adaptive Triplet Model for Fine-Grained Visual Categorization.
IEEE Access
Jingyun Liang, Jinlin Guo, Yanming Guo, Songyang Lao
2018 B conf
An Extensive Study of Cycle-Consistent Generative Networks for Image-to-Image Translation.
ICPR
Yu Liu, Yanming Guo, Wei Chen, Michael S. Lew
2018 J jnl
Bag of Surrogate Parts Feature for Visual Recognition.
IEEE Trans. Multim.
Yanming Guo, Yu Liu, Songyang Lao, Erwin M. Bakker, Liang Bai, Michael S. Lew
2018 J jnl
CNN-RNN: a large-scale hierarchical image classification framework.
Multim. Tools Appl.
Yanming Guo, Yu Liu, Erwin M. Bakker, Yuanhao Guo, Michael S. Lew
2018 J jnl
Cross-Modal Multistep Fusion Network With Co-Attention for Visual Question Answering.
IEEE Access
Mingrui Lao, Yanming Guo, Hui Wang, Xin Zhang
2018 — conf
Delving into Fully Convolutional Networks Activations for Visual Recognition.
ICMIP
Longfei Zhang, Yanming Guo
2018 J jnl
Fusion that matters: convolutional fusion networks for visual recognition.
Multim. Tools Appl.
Yu Liu, Yanming Guo, Theodoros Georgiou, Michael S. Lew
2018 J jnl
Learning visual and textual representations for multimodal matching and classification.
Pattern Recognit.
Yu Liu, Li Liu, Yanming Guo, Michael S. Lew
2018 J jnl
Multimodal Local Perception Bilinear Pooling for Visual Question Answering.
IEEE Access
Mingrui Lao, Yanming Guo, Hui Wang, Xin Zhang
2018 — conf
Reference Based on Adaptive Attention Mechanism for Image Captioning.
BigMM
Shuang Liu, Liang Bai, Yanming Guo, Haoran Wang
2017 A* conf
Learning a Recurrent Residual Fusion Network for Multimodal Matching.
ICCV
Yu Liu, Yanming Guo, Erwin M. Bakker, Michael S. Lew
2017 — conf
On the Exploration of Convolutional Fusion Networks for Visual Recognition.
MMM (1)
Yu Liu, Yanming Guo, Michael S. Lew
2017 — conf
What Convnets Make for Image Captioning?
MMM (1)
Yu Liu, Yanming Guo, Michael S. Lew
2016 A conf
Bag of Surrogate Parts: one inherent feature of deep CNNs.
BMVC
Yanming Guo, Michael S. Lew
2016 J jnl
Deep learning for visual understanding: A review.
Neurocomputing
Yanming Guo, Yu Liu, Ard Oerlemans, Songyang Lao, Song Wu, Michael S. Lew
2016 J jnl
On the Exploration of Convolutional Fusion Networks for Visual Recognition.
CoRR
Yu Liu, Yanming Guo, Michael S. Lew
2016 J jnl
基于聚类的视频专题演化分析方法 (Video Topic Evolution Analysis Based on Clustering).
计算机科学
Yuxiang Xie, Xidao Luan, Yanming Guo, Chen Li, Xiao Niu
2015 — conf
Convolutional Neural Networks Features: Principal Pyramidal Convolution.
PCM (1)
Yanming Guo, Songyang Lao, Yu Liu, Liang Bai, Shi Liu, Michael S. Lew
2015 B conf
DeepIndex for Accurate and Efficient Image Retrieval.
ICMR
Yu Liu, Yanming Guo, Song Wu, Michael S. Lew
2014 — conf
A Comparison between Artificial Neural Network and Cascade-Correlation Neural Network in Concept Classification.
PCM
Yanming Guo, Liang Bai, Songyang Lao, Song Wu, Michael S. Lew
2006 J jnl
A Grid-Based Pseudo-Cache solution for MISD biomedical problems with high confidentiality and efficiency.
Int. J. Bioinform. Res. Appl.
Yuan-Shun Dai, Mathew J. Palakal, Shielly Hartanto, Xiaolong Wang, Yanming Guo