Zhendong Mao

According to our database, Zhendong Mao authored at least 122 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Exploring Visual Relationships via Transformer-based Graphs for Enhanced Image Captioning.

Jingyu Li, Zhendong Mao, Hao Li, Weidong Chen, Yongdong Zhang

ACM Trans. Multim. Comput. Commun. Appl., May, 2024

Sentiment-Oriented Transformer-Based Variational Autoencoder Network for Live Video Commenting.

Fengyi Fu, Shancheng Fang, Weidong Chen, Zhendong Mao

ACM Trans. Multim. Comput. Commun. Appl., April, 2024

Enhanced Semantic Similarity Learning Framework for Image-Text Matching.

Kun Zhang, Bo Hu, Huatian Zhang, Zhe Li, Zhendong Mao

IEEE Trans. Circuits Syst. Video Technol., April, 2024

Curriculum Learning Driven Domain Adaptation for Low-Resource Machine Reading Comprehension.

Licheng Zhang, Quan Wang, Benfeng Xu, Yi Liu, Zhendong Mao

IEEE Signal Process. Lett., 2024

CustomContrast: A Multilevel Contrastive Perspective For Subject-Driven Text-to-Image Customization.

Nan Chen, Mengqi Huang, Zhuowei Chen, Yang Zheng, Lei Zhang, Zhendong Mao

CoRR, 2024

Enhance Lifelong Model Editing with Continuous Data-Adapter Association.

Jiaang Li, Quan Wang, Zhongnan Wang, Yongdong Zhang, Zhendong Mao

CoRR, 2024

RealCustom++: Representing Images as Real-Word for Real-Time Customization.

Zhendong Mao, Mengqi Huang, Fei Ding, Mingcong Liu, Qian He, Xiaojun Chang, Yong-Dong Zhang

CoRR, 2024

USTC-BUPT at SemEval-2024 Task 8: Enhancing Machine-Generated Text Detection via Domain Adversarial Neural Networks and LLM Embeddings.

Zikang Guo, Kaijie Jiao, Xingyu Yao, Yuning Wan, Haoran Li, Benfeng Xu, Licheng Zhang, Quan Wang, Yongdong Zhang, Zhendong Mao

Proceedings of the 18th International Workshop on Semantic Evaluation, 2024

Dual-path Collaborative Generation Network for Emotional Video Captioning.

Cheng Ye, Weidong Chen, Jingyu Li, Lei Zhang, Zhendong Mao

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Neighborhood-Adaptive Context Enhancement Learning For Scene Graph Generation.

Bowen Zhao, Licheng Zhang, Lei Zhang, Zhendong Mao

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Improving Radiology Report Generation with D²-Net: When Diffusion Meets Discriminator.

Yuda Jin, Weidong Chen, Yuanhe Tian, Yan Song, Chenggang Yan, Zhendong Mao

Proceedings of the IEEE International Conference on Acoustics, 2024

FlipGuard: Defending Preference Alignment against Update Regression with Constrained Optimization.

Mingye Zhu, Yi Liu, Quan Wang, Junbo Guo, Zhendong Mao

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

KNN-Instruct: Automatic Instruction Construction with K Nearest Neighbor Deduction.

Jianshang Kou, Benfeng Xu, Chiwei Zhu, Zhendong Mao

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

RealCustom: Narrowing Real Text Word for Real-Time Open-Domain Text-to-Image Customization.

Mengqi Huang, Zhendong Mao, Mingcong Liu, Qian He, Yongdong Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Linguistic-Aware Patch Slimming Framework for Fine-Grained Cross-Modal Alignment.

Zheren Fu, Lei Zhang, Hou Xia, Zhendong Mao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

IDEATE: Detecting AI-Generated Text Using Internal and External Factual Structures.

Quan Wang, Licheng Zhang, Zikang Guo, Zhendong Mao

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Visual-Linguistic Dependency Encoding for Image-Text Retrieval.

Wenxin Guo, Lei Zhang, Kun Zhang, Yi Liu, Zhendong Mao

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

LIRE: listwise reward enhancement for preference alignment.

Mingye Zhu, Yi Liu, Lei Zhang, Junbo Guo, Zhendong Mao

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation.

Tianqi Zhong, Zhaoyi Li, Quan Wang, Linqi Song, Ying Wei, Defu Lian, Zhendong Mao

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Knowledge Context Modeling with Pre-trained Language Models for Contrastive Knowledge Graph Completion.

Guangqian Yang, Yi Liu, Lei Zhang, Licheng Zhang, Hongtao Xie, Zhendong Mao

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Chain-of-Question: A Progressive Question Decomposition Approach for Complex Knowledge Base Question Answering.

Yixing Peng, Quan Wang, Licheng Zhang, Yi Liu, Zhendong Mao

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Feature-Adaptive and Data-Scalable In-Context Learning.

Jiahao Li, Quan Wang, Licheng Zhang, Guoqing Jin, Zhendong Mao

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

RESEMO: A Benchmark Chinese Dataset for Studying Responsive Emotion from Social Media Content.

Bo Hu, Meng Zhang, Chenfei Xie, Yuanhe Tian, Yan Song, Zhendong Mao

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Disentangled Learning with Synthetic Parallel Data for Text Style Transfer.

Jingxuan Han, Quan Wang, Zikang Guo, Benfeng Xu, Licheng Zhang, Zhendong Mao

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Identification of Necessary Semantic Undertakers in the Causal View for Image-Text Matching.

Huatian Zhang, Lei Zhang, Kun Zhang, Zhendong Mao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Gradual Residuals Alignment: A Dual-Stream Framework for GAN Inversion and Image Attribute Editing.

Hao Li, Mengqi Huang, Lei Zhang, Bo Hu, Yi Liu, Zhendong Mao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Benchmarking Large Language Models on Controllable Generation under Diversified Instructions.

Yihan Chen, Benfeng Xu, Quan Wang, Yi Liu, Zhendong Mao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

DreamIdentity: Enhanced Editability for Efficient Face-Identity Preserved Image Generation.

Zhuowei Chen, Shancheng Fang, Wei Liu, Qian He, Mengqi Huang, Zhendong Mao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

ABINet++: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Spotting.

Shancheng Fang, Zhendong Mao, Hongtao Xie, Yuxin Wang, Chenggang Yan, Yongdong Zhang

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

GH-DDM: the generalized hybrid denoising diffusion model for medical image generation.

Sicheng Zhang, Jin Liu, Bo Hu, Zhendong Mao

Multim. Syst., June, 2023

Multi-task hourglass network for online automatic diagnosis of developmental dysplasia of the hip.

Jingyuan Xu, Hongtao Xie, Qingfeng Tan, Hai Wu, Chuanbin Liu, Sicheng Zhang, Zhendong Mao, Yongdong Zhang

World Wide Web (WWW), March, 2023

Unified Adaptive Relevance Distinguishable Attention Network for Image-Text Matching.

Kun Zhang, Zhendong Mao, An-An Liu, Yongdong Zhang

IEEE Trans. Multim., 2023

Intra-Class Adaptive Augmentation With Neighbor Correction for Deep Metric Learning.

Zheren Fu, Zhendong Mao, Bo Hu, An-An Liu, Yongdong Zhang

IEEE Trans. Multim., 2023

DreamIdentity: Improved Editability for Efficient Face-identity Preserved Image Generation.

Zhuowei Chen, Shancheng Fang, Wei Liu, Qian He, Mengqi Huang, Yongdong Zhang, Zhendong Mao

CoRR, 2023

ExpertPrompting: Instructing Large Language Models to be Distinguished Experts.

Benfeng Xu, An Yang, Junyang Lin, Quan Wang, Chang Zhou, Yongdong Zhang, Zhendong Mao

CoRR, 2023

kNN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference.

Benfeng Xu, Quan Wang, Zhendong Mao, Yajuan Lyu, Qiaoqiao She, Yongdong Zhang

CoRR, 2023

Unlocking the Power of Cross-Dimensional Semantic Dependency for Image-Text Matching.

Kun Zhang, Lei Zhang, Bo Hu, Mengxiao Zhu, Zhendong Mao

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Difference-Aware Iterative Reasoning Network for Key Relation Detection.

Bowen Zhao, Weidong Chen, Bo Hu, Hongtao Xie, Zhendong Mao

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

$k$NN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference.

Benfeng Xu, Quan Wang, Zhendong Mao, Yajuan Lyu, Qiaoqiao She, Yongdong Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

SADE: A Self-Adaptive Expert for Multi-Dataset Question Answering.

Yixing Peng, Quan Wang, Zhendong Mao, Yong-Dong Zhang

Proceedings of the IEEE International Conference on Acoustics, 2023

Inductive Relation Prediction from Relational Paths and Context with Hierarchical Transformers.

Jiaang Li, Quan Wang, Zhendong Mao

Proceedings of the IEEE International Conference on Acoustics, 2023

Contour-Augmented Concept Prediction Network for Image Captioning.

Ting Wang, Weidong Chen, Jingyu Li, Yixing Peng, Zhendong Mao

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

On the Calibration of Large Language Models and Alignment.

Chiwei Zhu, Benfeng Xu, Quan Wang, Yongdong Zhang, Zhendong Mao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Air-Decoding: Attribute Distribution Reconstruction for Decoding-Time Controllable Text Generation.

Tianqi Zhong, Quan Wang, Jingxuan Han, Yongdong Zhang, Zhendong Mao

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Improving Image Captioning via Predicting Structured Concepts.

Ting Wang, Weidong Chen, Yuanhe Tian, Yan Song, Zhendong Mao

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Grammatical Error Correction via Mixed-Grained Weighted Training.

Jiahao Li, Quan Wang, Chiwei Zhu, Zhendong Mao, Yongdong Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Random Entity Quantization for Parameter-Efficient Compositional Knowledge Graph Representation.

Jiaang Li, Quan Wang, Yi Liu, Licheng Zhang, Zhendong Mao

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

IAEval: A Comprehensive Evaluation of Instance Attribution on Natural Language Understanding.

Peijian Gu, Yaozong Shen, Lijie Wang, Quan Wang, Hua Wu, Zhendong Mao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

E-CORE: Emotion Correlation Enhanced Empathetic Dialogue Generation.

Fengyi Fu, Lei Zhang, Quan Wang, Zhendong Mao

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Crossing the Gap: Domain Generalization for Image Captioning.

Yuchen Ren, Zhendong Mao, Shancheng Fang, Yan Lu, Tong He, Hao Du, Yongdong Zhang, Wanli Ouyang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Not All Image Regions Matter: Masked Vector Quantization for Autoregressive Image Generation.

Mengqi Huang, Zhendong Mao, Quan Wang, Yongdong Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Towards Accurate Image Coding: Improved Autoregressive Image Generation with Dynamic Vector Quantization.

Mengqi Huang, Zhendong Mao, Zhuowei Chen, Yongdong Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning Semantic Relationship among Instances for Image-Text Matching.

Zheren Fu, Zhendong Mao, Yan Song, Yongdong Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

S2ynRE: Two-stage Self-training with Synthetic data for Low-resource Relation Extraction.

Benfeng Xu, Quan Wang, Yajuan Lyu, Dai Dai, Yongdong Zhang, Zhendong Mao

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Text Style Transfer with Contrastive Transfer Pattern Mining.

Jingxuan Han, Quan Wang, Licheng Zhang, Weidong Chen, Yan Song, Zhendong Mao

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Focus Your Attention: A Focal Attention for Multimodal Learning.

Chunxiao Liu, Zhendong Mao, Tianzhu Zhang, An-An Liu, Bin Wang, Yongdong Zhang

IEEE Trans. Multim., 2022

Semantically Similarity-Wise Dual-Branch Network for Scene Graph Generation.

Bowen Zhao, Zhendong Mao, Shancheng Fang, Wenyu Zang, Yongdong Zhang

IEEE Trans. Circuits Syst. Video Technol., 2022

Task-Adaptive Attention for Image Captioning.

Chenggang Yan, Yiming Hao, Liang Li, Jian Yin, Anan Liu, Zhendong Mao, Zhenyu Chen, Xingyu Gao

IEEE Trans. Circuits Syst. Video Technol., 2022

Joint Local Correlation and Global Contextual Information for Unsupervised 3D Model Retrieval and Classification.

Wenhui Li, Zhenlan Zhao, An-An Liu, Zan Gao, Chenggang Yan, Zhendong Mao, Haipeng Chen, Weizhi Nie

IEEE Trans. Circuits Syst. Video Technol., 2022

Self-Supervised Synthesis Ranking for Deep Metric Learning.

Zheren Fu, Zhendong Mao, Chenggang Yan, An-An Liu, Hongtao Xie, Yongdong Zhang

IEEE Trans. Circuits Syst. Video Technol., 2022

Joint Channel Estimation and Active-User Detection for Massive Access in Internet of Things - A Deep Learning Approach.

Zhendong Mao, Xiqing Liu, Mugen Peng, Zijie Chen, Guiming Wei

IEEE Internet Things J., 2022

Channel Estimation for Intelligent Reflecting Surface Assisted Massive MIMO Systems - A Deep Learning Approach.

Zhendong Mao, Xiqing Liu, Mugen Peng

IEEE Commun. Lett., 2022

EmRel: Joint Representation of Entities and Embedded Relations for Multi-triple Extraction.

Benfeng Xu, Quan Wang, Yajuan Lyu, Yabing Shi, Yong Zhu, Jie Gao, Zhendong Mao

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Fine-tuning with Multi-modal Entity Prompts for News Image Captioning.

Jingjing Zhang, Shancheng Fang, Zhendong Mao, Zhiwei Zhang, Yongdong Zhang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

DSE-GAN: Dynamic Semantic Evolution Generative Adversarial Network for Text-to-Image Generation.

Mengqi Huang, Zhendong Mao, Penghui Wang, Quan Wang, Yongdong Zhang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Background Layout Generation and Object Knowledge Transfer for Text-to-Image Generation.

Zhuowei Chen, Zhendong Mao, Shancheng Fang, Bo Hu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Weakly Supervised Pediatric Bone Age Assessment Using Ultrasonic Images via Automatic Anatomical RoI Detection.

Yunyan Yan, Chuanbin Liu, Hongtao Xie, Sicheng Zhang, Zhendong Mao

Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022

ER-SAN: Enhanced-Adaptive Relation Self-Attention Network for Image Captioning.

Jingyu Li, Zhendong Mao, Shancheng Fang, Hao Li

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction.

Wei Tang, Benfeng Xu, Yuyue Zhao, Zhendong Mao, Yifeng Liu, Yong Liao, Haiyong Xie

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Improving Chinese Spelling Check by Character Pronunciation Prediction: The Effects of Adaptivity and Granularity.

Jiahao Li, Quan Wang, Zhendong Mao, Junbo Guo, Yanyan Yang, Yongdong Zhang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Negative-Aware Attention Framework for Image-Text Matching.

Kun Zhang, Zhendong Mao, Quan Wang, Yongdong Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

GroupDiff: Exploring A Unified Graph Structure and High-order Interactions for Group Recommendation.

Jiameng Bai, Bo Hu, Mengxiao Zhu, Zhendong Mao, Anan Liu

Proceedings of the 8th International Conference on Big Data Computing and Communications, 2022

Show Your Faith: Cross-Modal Confidence-Aware Network for Image-Text Matching.

Huatian Zhang, Zhendong Mao, Kun Zhang, Yongdong Zhang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

M-GCN: Multi-Branch Graph Convolution Network for 2D Image-based on 3D Model Retrieval.

Wei-Zhi Nie, Min-Jie Ren, An-An Liu, Zhendong Mao, Jie Nie

IEEE Trans. Multim., 2021

Multi-Scale Structure-Aware Network for Weakly Supervised Temporal Action Detection.

Wenfei Yang, Tianzhu Zhang, Zhendong Mao, Yongdong Zhang, Qi Tian, Feng Wu

IEEE Trans. Image Process., 2021

Review and Arrange: Curriculum Learning for Natural Language Understanding.

Licheng Zhang, Zhendong Mao, Benfeng Xu, Quan Wang, Yongdong Zhang

IEEE ACM Trans. Audio Speech Lang. Process., 2021

Evolution of ICTs-empowered-identification: A general re-ranking method for person re-identification.

Bin Zhu, Tongkun Xu, Bolun Zheng, Quan Zhang, Yaoqi Sun, Anan Liu, Zhendong Mao, Chenggang Yan

Pattern Recognit. Lett., 2021

Object-difference drived graph convolutional networks for visual question answering.

Xi Zhu, Zhendong Mao, Zhineng Chen, Yangyang Li, Zhaohui Wang, Bin Wang

Multim. Tools Appl., 2021

Hierarchical multi-view context modelling for 3D object classification and retrieval.

An-An Liu, Heyu Zhou, Weizhi Nie, Zhenguang Liu, Wu Liu, Hongtao Xie, Zhendong Mao, Xuanya Li, Dan Song

Inf. Sci., 2021

Mask and Predict: Multi-step Reasoning for Scene Graph Generation.

Hongshuo Tian, Ning Xu, An-An Liu, Chenggang Yan, Zhendong Mao, Quan Zhang, Yongdong Zhang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Lesion-Aware Transformers for Diabetic Retinopathy Grading.

Rui Sun, Yihao Li, Tianzhu Zhang, Zhendong Mao, Feng Wu, Yongdong Zhang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition.

Shancheng Fang, Hongtao Xie, Yuxin Wang, Zhendong Mao, Yongdong Zhang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction.

Benfeng Xu, Quan Wang, Yajuan Lyu, Yong Zhu, Zhendong Mao

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Image Captioning with Context-Aware Auxiliary Guidance.

Zeliang Song, Xiaofei Zhou, Zhendong Mao, Jianlong Tan

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Deep Metric Learning with Self-Supervised Ranking.

Zheren Fu, Yan Li, Zhendong Mao, Quan Wang, Yongdong Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Misshapen Pelvis Landmark Detection With Local-Global Feature Learning for Diagnosing Developmental Dysplasia of the Hip.

Chuanbin Liu, Hongtao Xie, Sicheng Zhang, Zhendong Mao, Jun Sun, Yongdong Zhang

IEEE Trans. Medical Imaging, 2020

Context propagation embedding network for weakly supervised semantic segmentation.

Yajun Xu, Zhendong Mao, Zhineng Chen, Xin Wen, Yangyang Li

Multim. Tools Appl., 2020

SP-VITON: shape-preserving image-based virtual try-on network.

Dan Song, Tianbao Li, Zhendong Mao, An-An Liu

Multim. Tools Appl., 2020

Compact Position-Aware Attention Network for Image Semantic Segmentation.

Yajun Xu, Zhendong Mao, Peng Zhang, Bin Wang

Proceedings of the MultiMedia Modeling - 26th International Conference, 2020

A Feature Generalization Framework for Social Media Popularity Prediction.

Kai Wang, Penghui Wang, Xin Chen, Qiushi Huang, Zhendong Mao, Yongdong Zhang

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Domain-Specific Alignment Network for Multi-Domain Image-Based 3D Object Retrieval.

Yuting Su, Yuqian Li, Dan Song, Zhendong Mao, Xuanya Li, An-An Liu

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Learning Rich Attention for Pediatric Bone Age Assessment.

Chuanbin Liu, Hongtao Xie, Yunyan Yan, Zhendong Mao, Yongdong Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Overcoming Language Priors with Self-supervised Learning for Visual Question Answering.

Xi Zhu, Zhendong Mao, Chunxiao Liu, Peng Zhang, Bin Wang, Yongdong Zhang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Graph Structured Network for Image-Text Matching.

Chunxiao Liu, Zhendong Mao, Tianzhu Zhang, Hongtao Xie, Bin Wang, Yongdong Zhang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Curriculum Learning for Natural Language Understanding.

Benfeng Xu, Licheng Zhang, Zhendong Mao, Quan Wang, Hongtao Xie, Yongdong Zhang

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Double-Bit Quantization and Index Hashing for Nearest Neighbor Search.

Hongtao Xie, Zhendong Mao, Yongdong Zhang, Han Deng, Chenggang Yan, Zhineng Chen

IEEE Trans. Multim., 2019

MMJN: Multi-Modal Joint Networks for 3D Shape Recognition.

Weizhi Nie, Qi Liang, An-An Liu, Zhendong Mao, Yangyang Li

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Focus Your Attention: A Bidirectional Focal Attention Network for Image-Text Matching.

Chunxiao Liu, Zhendong Mao, An-An Liu, Tianzhu Zhang, Bin Wang, Yongdong Zhang

Proceedings of the 27th ACM International Conference on Multimedia, 2019

A Neighbor-aware Approach for Image-text Matching.

Chunxiao Liu, Zhendong Mao, Wenyu Zang, Bin Wang

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Channel Matrix Sparsity With Imperfect Channel State Information in Cloud Radio Access Networks.

Di Chen, Zhongyuan Zhao, Zhendong Mao, Mugen Peng

IEEE Trans. Veh. Technol., 2018

Pulmonary Vessel Segmentation via Stage-Wise Convolutional Networks With Orientation-Based Region Growing Optimization.

Yajun Xu, Zhendong Mao, Chunxiao Liu, Bin Wang

IEEE Access, 2018

Stacked Fully Convolutional Networks for Pulmonary Vessel Segmentation.

Yuxin Wang, Jianjun Chen, Chunxiao Liu, Zhendong Mao

Proceedings of the IEEE Visual Communications and Image Processing, 2018

Post Tuned Hashing: A New Approach to Indexing High-dimensional Data.

Zhendong Mao, Quan Wang, Yongdong Zhang, Bin Wang

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

On the Design of OFDM-Based Simultaneous Wireless Information and Power Transfer in Fog-Radio Access Networks.

Chunhua Liu, Yong Li, Zhendong Mao, Tong Sha

Proceedings of the IEEE/CIC International Conference on Communications in China, 2018

Performance Analysis of Outage and Average Sum Rate of Sparse Code Division Multiple Access in Fog Radio Access Networks.

Yi Gu, Mingfeng Xu, Zhendong Mao, Yuan Ai, Shuqing Bu

Proceedings of the IEEE/CIC International Conference on Communications in China, 2018

2017

Knowledge Graph Embedding: A Survey of Approaches and Applications.

Quan Wang, Zhendong Mao, Bin Wang, Li Guo

IEEE Trans. Knowl. Data Eng., 2017

Uyghur Language Text Detection in Complex Background Images Using Enhanced MSERs.

Shun Liu, Hongtao Xie, Chuan Zhou, Zhendong Mao

Proceedings of the MultiMedia Modeling - 23rd International Conference, 2017

Double-bit quantization and weighting for nearest neighbor search.

Han Deng, Hongtao Xie, Wei Ma, Zhendong Mao, Chuan Zhou

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Training Design for Channel Estimation in Uplink Cloud Radio Access Networks.

Qiang Hu, Mugen Peng, Zhendong Mao, Xinqian Xie, H. Vincent Poor

IEEE Trans. Signal Process., 2016

Recent Advances in Cloud Radio Access Networks: System Architectures, Key Techniques, and Open Issues.

Mugen Peng, Yaohua Sun, Xuelong Li, Zhendong Mao, Chonggang Wang

IEEE Commun. Surv. Tutorials, 2016

Joint Design of Iterative Training-Based Channel Estimation and Cluster Formation in Cloud-Radio Access Networks.

Zhongyuan Zhao, Yourong Ban, Di Chen, Zhendong Mao, Yong Li

IEEE Access, 2016

2015

Low-Complexity Segment Training Channel Estimation in Cloud Radio Access Networks.

Zhendong Mao, Mugen Peng, Honggang Wang, Jinhe Zhou, Xinqian Xie

Proceedings of the IEEE 82nd Vehicular Technology Conference, 2015

Hierarchical Encoding of Binary Descriptors for Image Matching.

Zhendong Mao, Lingling Tong, Hongtao Xie, Qi Tian

Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

What is the next step of binary features?

Zhendong Mao, Lei Zhang, Bin Wang, Li Guo

Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015

2014

Salient region detection for complex background images using integrated features.

Yongdong Zhang, Zhendong Mao, Jintao Li, Qi Tian

Inf. Sci., 2014

2013

COGE: A Novel Binary Feature Descriptor Exploring Anisotropy and Non-uniformity.

Zhendong Mao, Yongdong Zhang, Qi Tian

Proceedings of the Advances in Multimedia Information Processing - PCM 2013, 2013

What are the distance metrics for local features?

Zhendong Mao, Yongdong Zhang, Qi Tian

Proceedings of the ACM Multimedia Conference, 2013

2012

Geometric context-preserving progressive transmission in mobile visual search.

Junhai Xia, Ke Gao, Dongming Zhang, Zhendong Mao

Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

A method for detecting salient regions using integrated features.

Zhendong Mao, Yongdong Zhang, Ke Gao, Dongming Zhang

Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

2009

TRECVID 2009 of MCG-ICT-CAS.

Juan Cao, Yong-Dong Zhang, Bai-Lan Feng, Lei Bao, Ling Pang, Jin-Tao Li, Ke Gao, Xiao Wu, Hon-Ttao Xie, Wei Zhang, Zhen-Dong Mao

Proceedings of the TRECVID 2009 workshop participants notebook papers, 2009

C3M: A Classification Model for Multivariate Motion Time Series.

Dengyuan Wu, Ying Liu, Ge Gao, Zhendong Mao, Tao He

Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

An adaptive ensemble classifier for concept drifting stream.

Dengyuan Wu, Ying Liu, Ge Gao, Zhendong Mao, Weishan Ma, Tao He

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2009