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2020 – today
- 2024
- [j33]Licheng Zhang, Quan Wang, Benfeng Xu, Yi Liu, Zhendong Mao:
Curriculum Learning Driven Domain Adaptation for Low-Resource Machine Reading Comprehension. IEEE Signal Process. Lett. 31: 2650-2654 (2024) - [j32]Kun Zhang, Bo Hu, Huatian Zhang, Zhe Li, Zhendong Mao:
Enhanced Semantic Similarity Learning Framework for Image-Text Matching. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2973-2988 (2024) - [j31]Fengyi Fu, Shancheng Fang, Weidong Chen, Zhendong Mao:
Sentiment-Oriented Transformer-Based Variational Autoencoder Network for Live Video Commenting. ACM Trans. Multim. Comput. Commun. Appl. 20(4): 104:1-104:24 (2024) - [j30]Jingyu Li, Zhendong Mao, Hao Li, Weidong Chen, Yongdong Zhang:
Exploring Visual Relationships via Transformer-based Graphs for Enhanced Image Captioning. ACM Trans. Multim. Comput. Commun. Appl. 20(5): 133:1-133:23 (2024) - [c83]Zhuowei Chen, Shancheng Fang, Wei Liu, Qian He, Mengqi Huang, Zhendong Mao:
DreamIdentity: Enhanced Editability for Efficient Face-Identity Preserved Image Generation. AAAI 2024: 1281-1289 - [c82]Hao Li, Mengqi Huang, Lei Zhang, Bo Hu, Yi Liu, Zhendong Mao:
Gradual Residuals Alignment: A Dual-Stream Framework for GAN Inversion and Image Attribute Editing. AAAI 2024: 3064-3072 - [c81]Huatian Zhang, Lei Zhang, Kun Zhang, Zhendong Mao:
Identification of Necessary Semantic Undertakers in the Causal View for Image-Text Matching. AAAI 2024: 7105-7114 - [c80]Yihan Chen, Benfeng Xu, Quan Wang, Yi Liu, Zhendong Mao:
Benchmarking Large Language Models on Controllable Generation under Diversified Instructions. AAAI 2024: 17808-17816 - [c79]Jiahao Li, Quan Wang, Licheng Zhang, Guoqing Jin, Zhendong Mao:
Feature-Adaptive and Data-Scalable In-Context Learning. ACL (1) 2024: 1481-1494 - [c78]Mingye Zhu, Yi Liu, Lei Zhang, Junbo Guo, Zhendong Mao:
LIRE: listwise reward enhancement for preference alignment. ACL (Findings) 2024: 3377-3394 - [c77]Yixing Peng, Quan Wang, Licheng Zhang, Yi Liu, Zhendong Mao:
Chain-of-Question: A Progressive Question Decomposition Approach for Complex Knowledge Base Question Answering. ACL (Findings) 2024: 4763-4776 - [c76]Tianqi Zhong, Zhaoyi Li, Quan Wang, Linqi Song, Ying Wei, Defu Lian, Zhendong Mao:
Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation. ACL (1) 2024: 6486-6517 - [c75]Guangqian Yang, Yi Liu, Lei Zhang, Licheng Zhang, Hongtao Xie, Zhendong Mao:
Knowledge Context Modeling with Pre-trained Language Models for Contrastive Knowledge Graph Completion. ACL (Findings) 2024: 8619-8630 - [c74]Jingxuan Han, Quan Wang, Zikang Guo, Benfeng Xu, Licheng Zhang, Zhendong Mao:
Disentangled Learning with Synthetic Parallel Data for Text Style Transfer. ACL (1) 2024: 15187-15201 - [c73]Bo Hu, Meng Zhang, Chenfei Xie, Yuanhe Tian, Yan Song, Zhendong Mao:
RESEMO: A Benchmark Chinese Dataset for Studying Responsive Emotion from Social Media Content. ACL (Findings) 2024: 16375-16387 - [c72]Quan Wang, Licheng Zhang, Zikang Guo, Zhendong Mao:
IDEATE: Detecting AI-Generated Text Using Internal and External Factual Structures. LREC/COLING 2024: 8556-8568 - [c71]Wenxin Guo, Lei Zhang, Kun Zhang, Yi Liu, Zhendong Mao:
Visual-Linguistic Dependency Encoding for Image-Text Retrieval. LREC/COLING 2024: 17384-17396 - [c70]Mengqi Huang, Zhendong Mao, Mingcong Liu, Qian He, Yongdong Zhang:
RealCustom: Narrowing Real Text Word for Real-Time Open-Domain Text-to-Image Customization. CVPR 2024: 7476-7485 - [c69]Zheren Fu, Lei Zhang, Hou Xia, Zhendong Mao:
Linguistic-Aware Patch Slimming Framework for Fine-Grained Cross-Modal Alignment. CVPR 2024: 26297-26306 - [c68]Jianshang Kou, Benfeng Xu, Chiwei Zhu, Zhendong Mao:
KNN-Instruct: Automatic Instruction Construction with K Nearest Neighbor Deduction. EMNLP 2024: 10337-10350 - [c67]Mingye Zhu, Yi Liu, Quan Wang, Junbo Guo, Zhendong Mao:
FlipGuard: Defending Preference Alignment against Update Regression with Constrained Optimization. EMNLP 2024: 17333-17350 - [c66]Yuda Jin, Weidong Chen, Yuanhe Tian, Yan Song, Chenggang Yan, Zhendong Mao:
Improving Radiology Report Generation with D2-Net: When Diffusion Meets Discriminator. ICASSP 2024: 2215-2219 - [c65]Bowen Zhao, Licheng Zhang, Lei Zhang, Zhendong Mao:
Neighborhood-Adaptive Context Enhancement Learning For Scene Graph Generation. ICME 2024: 1-6 - [c64]Cheng Ye, Weidong Chen, Jingyu Li, Lei Zhang, Zhendong Mao:
Dual-path Collaborative Generation Network for Emotional Video Captioning. ACM Multimedia 2024: 496-505 - [c63]Zikang Guo, Kaijie Jiao, Xingyu Yao, Yuning Wan, Haoran Li, Benfeng Xu, Licheng Zhang, Quan Wang, Yongdong Zhang, Zhendong Mao:
USTC-BUPT at SemEval-2024 Task 8: Enhancing Machine-Generated Text Detection via Domain Adversarial Neural Networks and LLM Embeddings. SemEval@NAACL 2024: 1511-1522 - [i37]Yihan Chen, Benfeng Xu, Quan Wang, Yi Liu, Zhendong Mao:
Benchmarking Large Language Models on Controllable Generation under Diversified Instructions. CoRR abs/2401.00690 (2024) - [i36]Hao Li, Mengqi Huang, Lei Zhang, Bo Hu, Yi Liu, Zhendong Mao:
Gradual Residuals Alignment: A Dual-Stream Framework for GAN Inversion and Image Attribute Editing. CoRR abs/2402.14398 (2024) - [i35]Mengqi Huang, Zhendong Mao, Mingcong Liu, Qian He, Yongdong Zhang:
RealCustom: Narrowing Real Text Word for Real-Time Open-Domain Text-to-Image Customization. CoRR abs/2403.00483 (2024) - [i34]Tianqi Zhong, Zhaoyi Li, Quan Wang, Linqi Song, Ying Wei, Defu Lian, Zhendong Mao:
Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation. CoRR abs/2404.04232 (2024) - [i33]Fengyi Fu, Shancheng Fang, Weidong Chen, Zhendong Mao:
Sentiment-oriented Transformer-based Variational Autoencoder Network for Live Video Commenting. CoRR abs/2404.12782 (2024) - [i32]Jiahao Li, Quan Wang, Licheng Zhang, Guoqing Jin, Zhendong Mao:
Feature-Adaptive and Data-Scalable In-Context Learning. CoRR abs/2405.10738 (2024) - [i31]Mingye Zhu, Yi Liu, Lei Zhang, Junbo Guo, Zhendong Mao:
LIRE: listwise reward enhancement for preference alignment. CoRR abs/2405.13516 (2024) - [i30]Cheng Ye, Weidong Chen, Jingyu Li, Lei Zhang, Zhendong Mao:
Dual-path Collaborative Generation Network for Emotional Video Captioning. CoRR abs/2408.03006 (2024) - [i29]Zhendong Mao, Mengqi Huang, Fei Ding, Mingcong Liu, Qian He, Xiaojun Chang, Yong-Dong Zhang:
RealCustom++: Representing Images as Real-Word for Real-Time Customization. CoRR abs/2408.09744 (2024) - [i28]Jiaang Li, Quan Wang, Zhongnan Wang, Yongdong Zhang, Zhendong Mao:
Enhance Lifelong Model Editing with Continuous Data-Adapter Association. CoRR abs/2408.11869 (2024) - [i27]Nan Chen, Mengqi Huang, Zhuowei Chen, Yang Zheng, Lei Zhang, Zhendong Mao:
CustomContrast: A Multilevel Contrastive Perspective For Subject-Driven Text-to-Image Customization. CoRR abs/2409.05606 (2024) - [i26]Mingye Zhu, Yi Liu, Quan Wang, Junbo Guo, Zhendong Mao:
FlipGuard: Defending Preference Alignment against Update Regression with Constrained Optimization. CoRR abs/2410.00508 (2024) - 2023
- [j29]Sicheng Zhang, Jin Liu, Bo Hu, Zhendong Mao:
GH-DDM: the generalized hybrid denoising diffusion model for medical image generation. Multim. Syst. 29(3): 1335-1345 (2023) - [j28]Shancheng Fang, Zhendong Mao, Hongtao Xie, Yuxin Wang, Chenggang Yan, Yongdong Zhang:
ABINet++: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Spotting. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7123-7141 (2023) - [j27]Kun Zhang, Zhendong Mao, An-An Liu, Yongdong Zhang:
Unified Adaptive Relevance Distinguishable Attention Network for Image-Text Matching. IEEE Trans. Multim. 25: 1320-1332 (2023) - [j26]Zheren Fu, Zhendong Mao, Bo Hu, An-An Liu, Yongdong Zhang:
Intra-Class Adaptive Augmentation With Neighbor Correction for Deep Metric Learning. IEEE Trans. Multim. 25: 7758-7771 (2023) - [j25]Jingyuan Xu, Hongtao Xie, Qingfeng Tan, Hai Wu, Chuanbin Liu, Sicheng Zhang, Zhendong Mao, Yongdong Zhang:
Multi-task hourglass network for online automatic diagnosis of developmental dysplasia of the hip. World Wide Web (WWW) 26(2): 539-559 (2023) - [c62]Jingxuan Han, Quan Wang, Licheng Zhang, Weidong Chen, Yan Song, Zhendong Mao:
Text Style Transfer with Contrastive Transfer Pattern Mining. ACL (1) 2023: 7914-7927 - [c61]Benfeng Xu, Quan Wang, Yajuan Lyu, Dai Dai, Yongdong Zhang, Zhendong Mao:
S2ynRE: Two-stage Self-training with Synthetic data for Low-resource Relation Extraction. ACL (1) 2023: 8186-8207 - [c60]Mengqi Huang, Zhendong Mao, Quan Wang, Yongdong Zhang:
Not All Image Regions Matter: Masked Vector Quantization for Autoregressive Image Generation. CVPR 2023: 2002-2011 - [c59]Yuchen Ren, Zhendong Mao, Shancheng Fang, Yan Lu, Tong He, Hao Du, Yongdong Zhang, Wanli Ouyang:
Crossing the Gap: Domain Generalization for Image Captioning. CVPR 2023: 2871-2880 - [c58]Zheren Fu, Zhendong Mao, Yan Song, Yongdong Zhang:
Learning Semantic Relationship among Instances for Image-Text Matching. CVPR 2023: 15159-15168 - [c57]Mengqi Huang, Zhendong Mao, Zhuowei Chen, Yongdong Zhang:
Towards Accurate Image Coding: Improved Autoregressive Image Generation with Dynamic Vector Quantization. CVPR 2023: 22596-22605 - [c56]Ting Wang, Weidong Chen, Yuanhe Tian, Yan Song, Zhendong Mao:
Improving Image Captioning via Predicting Structured Concepts. EMNLP 2023: 360-370 - [c55]Jiaang Li, Quan Wang, Yi Liu, Licheng Zhang, Zhendong Mao:
Random Entity Quantization for Parameter-Efficient Compositional Knowledge Graph Representation. EMNLP 2023: 2917-2928 - [c54]Jiahao Li, Quan Wang, Chiwei Zhu, Zhendong Mao, Yongdong Zhang:
Grammatical Error Correction via Mixed-Grained Weighted Training. EMNLP (Findings) 2023: 6027-6037 - [c53]Tianqi Zhong, Quan Wang, Jingxuan Han, Yongdong Zhang, Zhendong Mao:
Air-Decoding: Attribute Distribution Reconstruction for Decoding-Time Controllable Text Generation. EMNLP 2023: 8233-8248 - [c52]Chiwei Zhu, Benfeng Xu, Quan Wang, Yongdong Zhang, Zhendong Mao:
On the Calibration of Large Language Models and Alignment. EMNLP (Findings) 2023: 9778-9795 - [c51]Fengyi Fu, Lei Zhang, Quan Wang, Zhendong Mao:
E-CORE: Emotion Correlation Enhanced Empathetic Dialogue Generation. EMNLP 2023: 10568-10586 - [c50]Peijian Gu, Yaozong Shen, Lijie Wang, Quan Wang, Hua Wu, Zhendong Mao:
IAEval: A Comprehensive Evaluation of Instance Attribution on Natural Language Understanding. EMNLP (Findings) 2023: 11966-11977 - [c49]Ting Wang, Weidong Chen, Jingyu Li, Yixing Peng, Zhendong Mao:
Contour-Augmented Concept Prediction Network for Image Captioning. ICANN (2) 2023: 180-191 - [c48]Jiaang Li, Quan Wang, Zhendong Mao:
Inductive Relation Prediction from Relational Paths and Context with Hierarchical Transformers. ICASSP 2023: 1-5 - [c47]Yixing Peng, Quan Wang, Zhendong Mao, Yong-Dong Zhang:
SADE: A Self-Adaptive Expert for Multi-Dataset Question Answering. ICASSP 2023: 1-5 - [c46]Benfeng Xu, Quan Wang, Zhendong Mao, Yajuan Lyu, Qiaoqiao She, Yongdong Zhang:
$k$NN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference. ICLR 2023 - [c45]Bowen Zhao, Weidong Chen, Bo Hu, Hongtao Xie, Zhendong Mao:
Difference-Aware Iterative Reasoning Network for Key Relation Detection. ICME 2023: 276-281 - [c44]Kun Zhang, Lei Zhang, Bo Hu, Mengxiao Zhu, Zhendong Mao:
Unlocking the Power of Cross-Dimensional Semantic Dependency for Image-Text Matching. ACM Multimedia 2023: 4828-4837 - [i25]Benfeng Xu, Quan Wang, Zhendong Mao, Yajuan Lyu, Qiaoqiao She, Yongdong Zhang:
kNN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference. CoRR abs/2303.13824 (2023) - [i24]Jiaang Li, Quan Wang, Zhendong Mao:
Inductive Relation Prediction from Relational Paths and Context with Hierarchical Transformers. CoRR abs/2304.00215 (2023) - [i23]Mengqi Huang, Zhendong Mao, Zhuowei Chen, Yongdong Zhang:
Towards Accurate Image Coding: Improved Autoregressive Image Generation with Dynamic Vector Quantization. CoRR abs/2305.11718 (2023) - [i22]Mengqi Huang, Zhendong Mao, Quan Wang, Yongdong Zhang:
Not All Image Regions Matter: Masked Vector Quantization for Autoregressive Image Generation. CoRR abs/2305.13607 (2023) - [i21]Benfeng Xu, An Yang, Junyang Lin, Quan Wang, Chang Zhou, Yongdong Zhang, Zhendong Mao:
ExpertPrompting: Instructing Large Language Models to be Distinguished Experts. CoRR abs/2305.14688 (2023) - [i20]Zhuowei Chen, Shancheng Fang, Wei Liu, Qian He, Mengqi Huang, Yongdong Zhang, Zhendong Mao:
DreamIdentity: Improved Editability for Efficient Face-identity Preserved Image Generation. CoRR abs/2307.00300 (2023) - [i19]Tianqi Zhong, Quan Wang, Jingxuan Han, Yongdong Zhang, Zhendong Mao:
Air-Decoding: Attribute Distribution Reconstruction for Decoding-Time Controllable Text Generation. CoRR abs/2310.14892 (2023) - [i18]Jiaang Li, Quan Wang, Yi Liu, Licheng Zhang, Zhendong Mao:
Random Entity Quantization for Parameter-Efficient Compositional Knowledge Graph Representation. CoRR abs/2310.15797 (2023) - [i17]Ting Wang, Weidong Chen, Yuanhe Tian, Yan Song, Zhendong Mao:
Improving Image Captioning via Predicting Structured Concepts. CoRR abs/2311.08223 (2023) - [i16]Chiwei Zhu, Benfeng Xu, Quan Wang, Yongdong Zhang, Zhendong Mao:
On the Calibration of Large Language Models and Alignment. CoRR abs/2311.13240 (2023) - [i15]Jiahao Li, Quan Wang, Chiwei Zhu, Zhendong Mao, Yongdong Zhang:
Grammatical Error Correction via Mixed-Grained Weighted Training. CoRR abs/2311.13848 (2023) - [i14]Fengyi Fu, Lei Zhang, Quan Wang, Zhendong Mao:
E-CORE: Emotion Correlation Enhanced Empathetic Dialogue Generation. CoRR abs/2311.15016 (2023) - 2022
- [j24]Zhendong Mao, Xiqing Liu, Mugen Peng:
Channel Estimation for Intelligent Reflecting Surface Assisted Massive MIMO Systems - A Deep Learning Approach. IEEE Commun. Lett. 26(4): 798-802 (2022) - [j23]Zhendong Mao, Xiqing Liu, Mugen Peng, Zijie Chen, Guiming Wei:
Joint Channel Estimation and Active-User Detection for Massive Access in Internet of Things - A Deep Learning Approach. IEEE Internet Things J. 9(4): 2870-2881 (2022) - [j22]Chenggang Yan, Yiming Hao, Liang Li, Jian Yin, Anan Liu, Zhendong Mao, Zhenyu Chen, Xingyu Gao:
Task-Adaptive Attention for Image Captioning. IEEE Trans. Circuits Syst. Video Technol. 32(1): 43-51 (2022) - [j21]Wenhui Li, Zhenlan Zhao, An-An Liu, Zan Gao, Chenggang Yan, Zhendong Mao, Haipeng Chen, Weizhi Nie:
Joint Local Correlation and Global Contextual Information for Unsupervised 3D Model Retrieval and Classification. IEEE Trans. Circuits Syst. Video Technol. 32(5): 3265-3278 (2022) - [j20]Bowen Zhao, Zhendong Mao, Shancheng Fang, Wenyu Zang, Yongdong Zhang:
Semantically Similarity-Wise Dual-Branch Network for Scene Graph Generation. IEEE Trans. Circuits Syst. Video Technol. 32(7): 4573-4583 (2022) - [j19]Zheren Fu, Zhendong Mao, Chenggang Yan, An-An Liu, Hongtao Xie, Yongdong Zhang:
Self-Supervised Synthesis Ranking for Deep Metric Learning. IEEE Trans. Circuits Syst. Video Technol. 32(7): 4736-4750 (2022) - [j18]Chunxiao Liu, Zhendong Mao, Tianzhu Zhang, An-An Liu, Bin Wang, Yongdong Zhang:
Focus Your Attention: A Focal Attention for Multimodal Learning. IEEE Trans. Multim. 24: 103-115 (2022) - [c43]Huatian Zhang, Zhendong Mao, Kun Zhang, Yongdong Zhang:
Show Your Faith: Cross-Modal Confidence-Aware Network for Image-Text Matching. AAAI 2022: 3262-3270 - [c42]Jiameng Bai, Bo Hu, Mengxiao Zhu, Zhendong Mao, Anan Liu:
GroupDiff: Exploring A Unified Graph Structure and High-order Interactions for Group Recommendation. BigCom 2022: 276-284 - [c41]Kun Zhang, Zhendong Mao, Quan Wang, Yongdong Zhang:
Negative-Aware Attention Framework for Image-Text Matching. CVPR 2022: 15640-15649 - [c40]Jiahao Li, Quan Wang, Zhendong Mao, Junbo Guo, Yanyan Yang, Yongdong Zhang:
Improving Chinese Spelling Check by Character Pronunciation Prediction: The Effects of Adaptivity and Granularity. EMNLP 2022: 4275-4286 - [c39]Wei Tang, Benfeng Xu, Yuyue Zhao, Zhendong Mao, Yifeng Liu, Yong Liao, Haiyong Xie:
UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction. EMNLP 2022: 7087-7099 - [c38]Jingyu Li, Zhendong Mao, Shancheng Fang, Hao Li:
ER-SAN: Enhanced-Adaptive Relation Self-Attention Network for Image Captioning. IJCAI 2022: 1081-1087 - [c37]Yunyan Yan, Chuanbin Liu, Hongtao Xie, Sicheng Zhang, Zhendong Mao:
Weakly Supervised Pediatric Bone Age Assessment Using Ultrasonic Images via Automatic Anatomical RoI Detection. ICMR 2022: 647-653 - [c36]Zhuowei Chen, Zhendong Mao, Shancheng Fang, Bo Hu:
Background Layout Generation and Object Knowledge Transfer for Text-to-Image Generation. ACM Multimedia 2022: 4327-4335 - [c35]Mengqi Huang, Zhendong Mao, Penghui Wang, Quan Wang, Yongdong Zhang:
DSE-GAN: Dynamic Semantic Evolution Generative Adversarial Network for Text-to-Image Generation. ACM Multimedia 2022: 4345-4354 - [c34]Jingjing Zhang, Shancheng Fang, Zhendong Mao, Zhiwei Zhang, Yongdong Zhang:
Fine-tuning with Multi-modal Entity Prompts for News Image Captioning. ACM Multimedia 2022: 4365-4373 - [c33]Benfeng Xu, Quan Wang, Yajuan Lyu, Yabing Shi, Yong Zhu, Jie Gao, Zhendong Mao:
EmRel: Joint Representation of Entities and Embedded Relations for Multi-triple Extraction. NAACL-HLT 2022: 659-665 - [i13]Mengqi Huang, Zhendong Mao, Penghui Wang, Quan Wang, Yongdong Zhang:
DSE-GAN: Dynamic Semantic Evolution Generative Adversarial Network for Text-to-Image Generation. CoRR abs/2209.01339 (2022) - [i12]Jiahao Li, Quan Wang, Zhendong Mao, Junbo Guo, Yanyan Yang, Yongdong Zhang:
Improving Chinese Spelling Check by Character Pronunciation Prediction: The Effects of Adaptivity and Granularity. CoRR abs/2210.10996 (2022) - [i11]Wei Tang, Benfeng Xu, Yuyue Zhao, Zhendong Mao, Yifeng Liu, Yong Liao, Haiyong Xie:
UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction. CoRR abs/2211.09039 (2022) - [i10]Shancheng Fang, Zhendong Mao, Hongtao Xie, Yuxin Wang, Chenggang Yan, Yongdong Zhang:
ABINet++: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Spotting. CoRR abs/2211.10578 (2022) - [i9]Zheren Fu, Zhendong Mao, Bo Hu, An-An Liu, Yongdong Zhang:
Intra-class Adaptive Augmentation with Neighbor Correction for Deep Metric Learning. CoRR abs/2211.16264 (2022) - 2021
- [j17]An-An Liu, Heyu Zhou, Weizhi Nie, Zhenguang Liu, Wu Liu, Hongtao Xie, Zhendong Mao, Xuanya Li, Dan Song:
Hierarchical multi-view context modelling for 3D object classification and retrieval. Inf. Sci. 547: 984-995 (2021) - [j16]Xi Zhu, Zhendong Mao, Zhineng Chen, Yangyang Li, Zhaohui Wang, Bin Wang:
Object-difference drived graph convolutional networks for visual question answering. Multim. Tools Appl. 80(11): 16247-16265 (2021) - [j15]Bin Zhu, Tongkun Xu, Bolun Zheng, Quan Zhang, Yaoqi Sun, Anan Liu, Zhendong Mao, Chenggang Yan:
Evolution of ICTs-empowered-identification: A general re-ranking method for person re-identification. Pattern Recognit. Lett. 150: 94-100 (2021) - [j14]Licheng Zhang, Zhendong Mao, Benfeng Xu, Quan Wang, Yongdong Zhang:
Review and Arrange: Curriculum Learning for Natural Language Understanding. IEEE ACM Trans. Audio Speech Lang. Process. 29: 3307-3320 (2021) - [j13]Wenfei Yang, Tianzhu Zhang, Zhendong Mao, Yongdong Zhang, Qi Tian, Feng Wu:
Multi-Scale Structure-Aware Network for Weakly Supervised Temporal Action Detection. IEEE Trans. Image Process. 30: 5848-5861 (2021) - [j12]Wei-Zhi Nie, Min-Jie Ren, An-An Liu, Zhendong Mao, Jie Nie:
M-GCN: Multi-Branch Graph Convolution Network for 2D Image-based on 3D Model Retrieval. IEEE Trans. Multim. 23: 1962-1976 (2021) - [c32]Zheren Fu, Yan Li, Zhendong Mao, Quan Wang, Yongdong Zhang:
Deep Metric Learning with Self-Supervised Ranking. AAAI 2021: 1370-1378 - [c31]Zeliang Song, Xiaofei Zhou, Zhendong Mao, Jianlong Tan:
Image Captioning with Context-Aware Auxiliary Guidance. AAAI 2021: 2584-2592 - [c30]Benfeng Xu, Quan Wang, Yajuan Lyu, Yong Zhu, Zhendong Mao:
Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction. AAAI 2021: 14149-14157 - [c29]Shancheng Fang, Hongtao Xie, Yuxin Wang, Zhendong Mao, Yongdong Zhang:
Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition. CVPR 2021: 7098-7107 - [c28]Rui Sun, Yihao Li, Tianzhu Zhang, Zhendong Mao, Feng Wu, Yongdong Zhang:
Lesion-Aware Transformers for Diabetic Retinopathy Grading. CVPR 2021: 10938-10947 - [c27]Hongshuo Tian, Ning Xu, An-An Liu, Chenggang Yan, Zhendong Mao, Quan Zhang, Yongdong Zhang:
Mask and Predict: Multi-step Reasoning for Scene Graph Generation. ACM Multimedia 2021: 4128-4136 - [i8]Benfeng Xu, Quan Wang, Yajuan Lyu, Yong Zhu, Zhendong Mao:
Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction. CoRR abs/2102.10249 (2021) - [i7]Shancheng Fang, Hongtao Xie, Yuxin Wang, Zhendong Mao, Yongdong Zhang:
Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition. CoRR abs/2103.06495 (2021) - 2020
- [j11]Dan Song, Tianbao Li, Zhendong Mao, An-An Liu:
SP-VITON: shape-preserving image-based virtual try-on network. Multim. Tools Appl. 79(45-46): 33757-33769 (2020) - [j10]Yajun Xu, Zhendong Mao, Zhineng Chen, Xin Wen, Yangyang Li:
Context propagation embedding network for weakly supervised semantic segmentation. Multim. Tools Appl. 79(45-46): 33925-33942 (2020) - [j9]Chuanbin Liu, Hongtao Xie, Sicheng Zhang, Zhendong Mao, Jun Sun, Yongdong Zhang:
Misshapen Pelvis Landmark Detection With Local-Global Feature Learning for Diagnosing Developmental Dysplasia of the Hip. IEEE Trans. Medical Imaging 39(12): 3944-3954 (2020) - [c26]Benfeng Xu, Licheng Zhang, Zhendong Mao, Quan Wang, Hongtao Xie, Yongdong Zhang:
Curriculum Learning for Natural Language Understanding. ACL 2020: 6095-6104 - [c25]Chunxiao Liu, Zhendong Mao, Tianzhu Zhang, Hongtao Xie, Bin Wang, Yongdong Zhang:
Graph Structured Network for Image-Text Matching. CVPR 2020: 10918-10927 - [c24]Xi Zhu, Zhendong Mao, Chunxiao Liu, Peng Zhang, Bin Wang, Yongdong Zhang:
Overcoming Language Priors with Self-supervised Learning for Visual Question Answering. IJCAI 2020: 1083-1089 - [c23]Chuanbin Liu, Hongtao Xie, Yunyan Yan, Zhendong Mao, Yongdong Zhang:
Learning Rich Attention for Pediatric Bone Age Assessment. MICCAI (1) 2020: 232-242 - [c22]Yuting Su, Yuqian Li, Dan Song, Zhendong Mao, Xuanya Li, An-An Liu:
Domain-Specific Alignment Network for Multi-Domain Image-Based 3D Object Retrieval. ACM Multimedia 2020: 3496-3504 - [c21]Kai Wang, Penghui Wang, Xin Chen, Qiushi Huang, Zhendong Mao, Yongdong Zhang:
A Feature Generalization Framework for Social Media Popularity Prediction. ACM Multimedia 2020: 4570-4574 - [c20]Yajun Xu, Zhendong Mao, Peng Zhang, Bin Wang:
Compact Position-Aware Attention Network for Image Semantic Segmentation. MMM (2) 2020: 639-650 - [i6]Chunxiao Liu, Zhendong Mao, Tianzhu Zhang, Hongtao Xie, Bin Wang, Yongdong Zhang:
Graph Structured Network for Image-Text Matching. CoRR abs/2004.00277 (2020) - [i5]Zeliang Song, Xiaofei Zhou, Zhendong Mao, Jianlong Tan:
Image Captioning with Context-Aware Auxiliary Guidance. CoRR abs/2012.05545 (2020) - [i4]Xi Zhu, Zhendong Mao, Chunxiao Liu, Peng Zhang, Bin Wang, Yongdong Zhang:
Overcoming Language Priors with Self-supervised Learning for Visual Question Answering. CoRR abs/2012.11528 (2020)
2010 – 2019
- 2019
- [j8]Hongtao Xie, Zhendong Mao, Yongdong Zhang, Han Deng, Chenggang Yan, Zhineng Chen:
Double-Bit Quantization and Index Hashing for Nearest Neighbor Search. IEEE Trans. Multim. 21(5): 1248-1260 (2019) - [c19]Chunxiao Liu, Zhendong Mao, Wenyu Zang, Bin Wang:
A Neighbor-aware Approach for Image-text Matching. ICASSP 2019: 3970-3974 - [c18]Chunxiao Liu, Zhendong Mao, An-An Liu, Tianzhu Zhang, Bin Wang, Yongdong Zhang:
Focus Your Attention: A Bidirectional Focal Attention Network for Image-Text Matching. ACM Multimedia 2019: 3-11 - [c17]Weizhi Nie, Qi Liang, An-An Liu, Zhendong Mao, Yangyang Li:
MMJN: Multi-Modal Joint Networks for 3D Shape Recognition. ACM Multimedia 2019: 908-916 - [i3]Chunxiao Liu, Zhendong Mao, An-An Liu, Tianzhu Zhang, Bin Wang, Yongdong Zhang:
Focus Your Attention: A Bidirectional Focal Attention Network for Image-Text Matching. CoRR abs/1909.11416 (2019) - 2018
- [j7]Yajun Xu, Zhendong Mao, Chunxiao Liu, Bin Wang:
Pulmonary Vessel Segmentation via Stage-Wise Convolutional Networks With Orientation-Based Region Growing Optimization. IEEE Access 6: 71296-71305 (2018) - [j6]Di Chen, Zhongyuan Zhao, Zhendong Mao, Mugen Peng:
Channel Matrix Sparsity With Imperfect Channel State Information in Cloud Radio Access Networks. IEEE Trans. Veh. Technol. 67(2): 1363-1374 (2018) - [c16]Chunhua Liu, Yong Li, Zhendong Mao, Tong Sha:
On the Design of OFDM-Based Simultaneous Wireless Information and Power Transfer in Fog-Radio Access Networks. ICCC Workshops 2018: 272-276 - [c15]Yi Gu, Mingfeng Xu, Zhendong Mao, Yuan Ai, Shuqing Bu:
Performance Analysis of Outage and Average Sum Rate of Sparse Code Division Multiple Access in Fog Radio Access Networks. ICCC Workshops 2018: 292-296 - [c14]Zhendong Mao, Quan Wang, Yongdong Zhang, Bin Wang:
Post Tuned Hashing: A New Approach to Indexing High-dimensional Data. ACM Multimedia 2018: 834-842 - [c13]Yuxin Wang, Jianjun Chen, Chunxiao Liu, Zhendong Mao:
Stacked Fully Convolutional Networks for Pulmonary Vessel Segmentation. VCIP 2018: 1-4 - 2017
- [j5]Quan Wang, Zhendong Mao, Bin Wang, Li Guo:
Knowledge Graph Embedding: A Survey of Approaches and Applications. IEEE Trans. Knowl. Data Eng. 29(12): 2724-2743 (2017) - [c12]Han Deng, Hongtao Xie, Wei Ma, Zhendong Mao, Chuan Zhou:
Double-bit quantization and weighting for nearest neighbor search. ICASSP 2017: 1717-1721 - [c11]Shun Liu, Hongtao Xie, Chuan Zhou, Zhendong Mao:
Uyghur Language Text Detection in Complex Background Images Using Enhanced MSERs. MMM (1) 2017: 490-500 - [i2]Di Chen, Zhongyuan Zhao, Zhendong Mao, Mugen Peng:
Channel Matrix Sparsity with Imperfect Channel State Information in Cloud-Radio Access Networks. CoRR abs/1709.08377 (2017) - 2016
- [j4]Zhongyuan Zhao, Yourong Ban, Di Chen, Zhendong Mao, Yong Li:
Joint Design of Iterative Training-Based Channel Estimation and Cluster Formation in Cloud-Radio Access Networks. IEEE Access 4: 9643-9658 (2016) - [j3]Mugen Peng, Yaohua Sun, Xuelong Li, Zhendong Mao, Chonggang Wang:
Recent Advances in Cloud Radio Access Networks: System Architectures, Key Techniques, and Open Issues. IEEE Commun. Surv. Tutorials 18(3): 2282-2308 (2016) - [j2]Qiang Hu, Mugen Peng, Zhendong Mao, Xinqian Xie, H. Vincent Poor:
Training Design for Channel Estimation in Uplink Cloud Radio Access Networks. IEEE Trans. Signal Process. 64(13): 3324-3337 (2016) - [i1]Mugen Peng, Yaohua Sun, Xuelong Li, Zhendong Mao, Chonggang Wang:
Recent Advances in Cloud Radio Access Networks: System Architectures, Key Techniques, and Open Issues. CoRR abs/1604.00607 (2016) - 2015
- [c10]Zhendong Mao, Lei Zhang, Bin Wang, Li Guo:
What is the next step of binary features? ICME 2015: 1-6 - [c9]Zhendong Mao, Lingling Tong, Hongtao Xie, Qi Tian:
Hierarchical Encoding of Binary Descriptors for Image Matching. ICMR 2015: 147-154 - [c8]Zhendong Mao, Mugen Peng, Honggang Wang, Jinhe Zhou, Xinqian Xie:
Low-Complexity Segment Training Channel Estimation in Cloud Radio Access Networks. VTC Fall 2015: 1-5 - 2014
- [j1]Yongdong Zhang, Zhendong Mao, Jintao Li, Qi Tian:
Salient region detection for complex background images using integrated features. Inf. Sci. 281: 586-600 (2014) - 2013
- [c7]Zhendong Mao, Yongdong Zhang, Qi Tian:
What are the distance metrics for local features? ACM Multimedia 2013: 505-508 - [c6]Zhendong Mao, Yongdong Zhang, Qi Tian:
COGE: A Novel Binary Feature Descriptor Exploring Anisotropy and Non-uniformity. PCM 2013: 359-371 - 2012
- [c5]Zhendong Mao, Yongdong Zhang, Ke Gao, Dongming Zhang:
A method for detecting salient regions using integrated features. ACM Multimedia 2012: 745-748 - [c4]Junhai Xia, Ke Gao, Dongming Zhang, Zhendong Mao:
Geometric context-preserving progressive transmission in mobile visual search. ACM Multimedia 2012: 953-956
2000 – 2009
- 2009
- [c3]Dengyuan Wu, Ying Liu, Ge Gao, Zhendong Mao, Weishan Ma, Tao He:
An adaptive ensemble classifier for concept drifting stream. CIDM 2009: 69-75 - [c2]Dengyuan Wu, Ying Liu, Ge Gao, Zhendong Mao, Tao He:
C3M: A Classification Model for Multivariate Motion Time Series. CSIE (4) 2009: 483-489 - [c1]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:
TRECVID 2009 of MCG-ICT-CAS. TRECVID 2009
Coauthor Index
aka: An-An Liu
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