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2020 – today
- 2021
[j126]Junwei Li, Le Wu, Richang Hong, Jinkui Hou:
Random walk based distributed representation learning and prediction on Social Networking Services. Inf. Sci. 549: 328-346 (2021)- [j125]Zhaokun Li, Xueliang Liu, Ye Zhao, Bo Liu, Zhen Huang, Richang Hong:
A lightweight multi-scale aggregated model for detecting aerial images captured by UAVs. J. Vis. Commun. Image Represent. 77: 103058 (2021) - [j124]Mao Gu
, Zhou Zhao, Weike Jin, Richang Hong, Fei Wu:
Graph-Based Multi-Interaction Network for Video Question Answering. IEEE Trans. Image Process. 30: 2758-2770 (2021) - [j123]Biao Qian, Yang Wang, Richang Hong, Meng Wang, Ling Shao:
Diversifying Inference Path Selection: Moving-Mobile-Network for Landmark Recognition. IEEE Trans. Image Process. 30: 4894-4904 (2021) - [j122]Jianfeng Dong, Zhe Ma, Xiaofeng Mao, Xun Yang, Yuan He, Richang Hong, Shouling Ji:
Fine-Grained Fashion Similarity Prediction by Attribute-Specific Embedding Learning. IEEE Trans. Image Process. 30: 8410-8425 (2021) - [j121]Heng Tao Shen, Luchen Liu, Yang Yang, Xing Xu, Zi Huang, Fumin Shen, Richang Hong:
Exploiting Subspace Relation in Semantic Labels for Cross-Modal Hashing. IEEE Trans. Knowl. Data Eng. 33(10): 3351-3365 (2021) - [j120]Zijian Zhang, Zhou Zhao, Zhu Zhang, Zhijie Lin, Qi Wang, Richang Hong:
Temporal Textual Localization in Video via Adversarial Bi-Directional Interaction Networks. IEEE Trans. Multim. 23: 3306-3317 (2021) - [j119]Zan Gao, Li-Shuai Gao, Hua Zhang, Zhiyong Cheng, Richang Hong, Shengyong Chen:
DCR: A Unified Framework for Holistic/Partial Person ReID. IEEE Trans. Multim. 23: 3332-3345 (2021) - [j118]Fei Liu, Jing Liu, Zhiwei Fang, Richang Hong, Hanqing Lu:
Visual Question Answering With Dense Inter- and Intra-Modality Interactions. IEEE Trans. Multim. 23: 3518-3529 (2021) - [j117]Ximing Li, Yang Wang, Zhao Zhang, Richang Hong, Li Zhuo, Meng Wang:
RMoR-Aion: Robust Multioutput Regression by Simultaneously Alleviating Input and Output Noises. IEEE Trans. Neural Networks Learn. Syst. 32(3): 1351-1364 (2021) - [j116]Le Wu, Peijie Sun, Richang Hong, Yong Ge, Meng Wang:
Collaborative Neural Social Recommendation. IEEE Trans. Syst. Man Cybern. Syst. 51(1): 464-476 (2021) - [j115]Richang Hong, Yuan He, Le Wu, Yong Ge, Xindong Wu:
Deep Attributed Network Embedding by Preserving Structure and Attribute Information. IEEE Trans. Syst. Man Cybern. Syst. 51(3): 1434-1445 (2021) - [c104]Lei Wu, Xueliang Liu, Yanbin Hao, Yunjie Ma, Richang Hong:
NASTER: Non-local Attentional Scene Text Recognizer. ICMR 2021: 331-338 - [c103]Yonghui Yang, Le Wu, Richang Hong, Kun Zhang, Meng Wang:
Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization. SIGIR 2021: 71-80 - [c102]Lei Chen, Le Wu, Kun Zhang, Richang Hong, Meng Wang:
Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation. SIGIR 2021: 585-594 - [c101]Shuai Wang, Kun Zhang, Le Wu, Haiping Ma, Richang Hong, Meng Wang:
Privileged Graph Distillation for Cold Start Recommendation. SIGIR 2021: 1187-1196 - [c100]Le Wu, Lei Chen, Pengyang Shao, Richang Hong, Xiting Wang, Meng Wang:
Learning Fair Representations for Recommendation: A Graph-based Perspective. WWW 2021: 2198-2208 - [i38]Renhao Sun, Yang Wang, Zhao Zhang, Richang Hong, Meng Wang:
Deep Adversarial Inconsistent Cognitive Sampling for Multi-view Progressive Subspace Clustering. CoRR abs/2101.03783 (2021) - [i37]Le Wu, Lei Chen, Pengyang Shao, Richang Hong, Xiting Wang, Meng Wang:
Learning Fair Representations for Bipartite Graph based Recommendation. CoRR abs/2102.09140 (2021) - [i36]Jun He, Richang Hong, Xueliang Liu, Mingliang Xu, Meng Wang:
Revisiting Deep Local Descriptor for Improved Few-Shot Classification. CoRR abs/2103.16009 (2021) - [i35]Jianfeng Dong, Zhe Ma, Xiaofeng Mao, Xun Yang, Yuan He, Richang Hong, Shouling Ji:
Fine-Grained Fashion Similarity Prediction by Attribute-Specific Embedding Learning. CoRR abs/2104.02429 (2021) - [i34]Yuan Zhou, Yanrong Guo, Shijie Hao, Richang Hong, Meng Wang:
MCGNet: Partial Multi-view Few-shot Learning via Meta-alignment and Context Gated-aggregation. CoRR abs/2105.02046 (2021) - [i33]Lei Chen, Le Wu, Kun Zhang, Richang Hong, Meng Wang:
Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation. CoRR abs/2105.07377 (2021) - [i32]Shuai Wang, Kun Zhang, Le Wu, Haiping Ma, Richang Hong, Meng Wang:
Privileged Graph Distillation for Cold Start Recommendation. CoRR abs/2105.14975 (2021) - [i31]Yuan Zhou, Yanrong Guo, Shijie Hao, Richang Hong, Zhen junzha, Meng Wang:
Few-shot Learning with Global Relatedness Decoupled-Distillation. CoRR abs/2107.05583 (2021) - 2020
- [j114]Wei Qin, Zhenzhen Hu, Xueliang Liu, Weijie Fu, Jun He, Richang Hong:
The Balanced Loss Curriculum Learning. IEEE Access 8: 25990-26001 (2020) - [j113]Ling Shen, Richang Hong, Yanbin Hao:
Advance on large scale near-duplicate video retrieval. Frontiers Comput. Sci. 14(5): 145702 (2020) - [j112]Jin Yuan, Heng-Chang Xiong, Yi Xiao, Weili Guan, Meng Wang, Richang Hong, Zhiyong Li:
Gated CNN: Integrating multi-scale feature layers for object detection. Pattern Recognit. 105: 107131 (2020) - [j111]Yahong Han, Bo Wang, Richang Hong, Fei Wu:
Movie Question Answering via Textual Memory and Plot Graph. IEEE Trans. Circuits Syst. Video Technol. 30(3): 875-887 (2020) - [j110]Lin Wu, Richang Hong, Yang Wang, Meng Wang:
Cross-Entropy Adversarial View Adaptation for Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 30(7): 2081-2092 (2020) - [j109]Zhao Zhang, Jiahuan Ren, Weiming Jiang, Zheng Zhang, Richang Hong, Shuicheng Yan, Meng Wang:
Joint Subspace Recovery and Enhanced Locality Driven Robust Flexible Discriminative Dictionary Learning. IEEE Trans. Circuits Syst. Video Technol. 30(8): 2430-2446 (2020) - [j108]Xiaobin Liu, Shiliang Zhang, Xiaoyu Wang, Richang Hong, Qi Tian:
Group-Group Loss-Based Global-Regional Feature Learning for Vehicle Re-Identification. IEEE Trans. Image Process. 29: 2638-2652 (2020) - [j107]Xueliang Liu, Xun Yang, Meng Wang, Richang Hong:
Deep Neighborhood Component Analysis for Visual Similarity Modeling. ACM Trans. Intell. Syst. Technol. 11(3): 29:1-29:15 (2020) - [j106]Junwei Li, Le Wu, Richang Hong, Kun Zhang, Yong Ge, Yan Li:
A Joint Neural Model for User Behavior Prediction on Social Networking Platforms. ACM Trans. Intell. Syst. Technol. 11(6): 72:1-72:25 (2020) - [j105]Le Wu, Lei Chen, Richang Hong, Yanjie Fu, Xing Xie, Meng Wang:
A Hierarchical Attention Model for Social Contextual Image Recommendation. IEEE Trans. Knowl. Data Eng. 32(10): 1854-1867 (2020) - [j104]Yanbin Hao, Tingting Mu, Richang Hong, Meng Wang, Xueliang Liu, John Yannis Goulermas:
Cross-Domain Sentiment Encoding through Stochastic Word Embedding. IEEE Trans. Knowl. Data Eng. 32(10): 1909-1922 (2020) - [j103]Feng Xue, Richang Hong, Xiangnan He, Jianwei Wang, Shengsheng Qian, Changsheng Xu:
Knowledge-Based Topic Model for Multi-Modal Social Event Analysis. IEEE Trans. Multim. 22(8): 2098-2110 (2020) - [j102]Xiangnan He, Jinhui Tang, Xiaoyu Du, Richang Hong, Tongwei Ren, Tat-Seng Chua:
Fast Matrix Factorization With Nonuniform Weights on Missing Data. IEEE Trans. Neural Networks Learn. Syst. 31(8): 2791-2804 (2020) - [j101]Ling Shen, Richang Hong, Haoran Zhang, Xinmei Tian, Meng Wang:
Video Retrieval with Similarity-Preserving Deep Temporal Hashing. ACM Trans. Multim. Comput. Commun. Appl. 15(4): 109:1-109:16 (2020) - [c99]Lei Chen, Le Wu, Richang Hong, Kun Zhang, Meng Wang:
Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach. AAAI 2020: 27-34 - [c98]Hengtong Hu, Lingxi Xie, Richang Hong, Qi Tian:
Creating Something From Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing. CVPR 2020: 3120-3129 - [c97]Yukun Huang, Zheng-Jun Zha, Xueyang Fu, Richang Hong, Liang Li:
Real-World Person Re-Identification via Degradation Invariance Learning. CVPR 2020: 14072-14082 - [c96]Depeng Wang, Zhenzhen Hu, Yuanen Zhou, Xueliang Liu, Le Wu, Richang Hong:
A Text-Guided Graph Structure for Image Captioning. ICME Workshops 2020: 1-6 - [c95]Da Cao, Yawen Zeng, Xiaochi Wei, Liqiang Nie, Richang Hong, Zheng Qin:
Adversarial Video Moment Retrieval by Jointly Modeling Ranking and Localization. ACM Multimedia 2020: 898-906 - [c94]Jun He, Richang Hong, Xueliang Liu, Mingliang Xu, Zheng-Jun Zha, Meng Wang:
Memory-Augmented Relation Network for Few-Shot Learning. ACM Multimedia 2020: 1236-1244 - [c93]Jiawei Liu, Zheng-Jun Zha, Richang Hong, Meng Wang, Yongdong Zhang:
Dual Context-Aware Refinement Network for Person Search. ACM Multimedia 2020: 3450-3459 - [c92]Fei Liu, Jing Liu, Xinxin Zhu, Richang Hong, Hanqing Lu:
Dual Hierarchical Temporal Convolutional Network with QA-Aware Dynamic Normalization for Video Story Question Answering. ACM Multimedia 2020: 4253-4261 - [c91]Lexuan Sun, Xueliang Liu, Zhenzhen Hu, Richang Hong:
WFN-PSC: weighted-fusion network with poly-scale convolution for image dehazing. MMAsia 2020: 39:1-39:7 - [c90]Binxin Yang, Xuejin Chen, Richang Hong, Zihan Chen, Yuhang Li, Zheng-Jun Zha:
Joint Sketch-Attribute Learning for Fine-Grained Face Synthesis. MMM (1) 2020: 790-801 - [c89]Hengtong Hu, Lingxi Xie, Zewei Du, Richang Hong, Qi Tian:
One-bit Supervision for Image Classification. NeurIPS 2020 - [c88]Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Yanjie Fu, Meng Wang:
Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach. SIGIR 2020: 679-688 - [c87]Le Wu, Yonghui Yang, Lei Chen, Defu Lian, Richang Hong, Meng Wang:
Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation. SIGIR 2020: 1211-1220 - [c86]Wenqiang Lei, Xiangnan He, Yisong Miao, Qingyun Wu, Richang Hong, Min-Yen Kan, Tat-Seng Chua:
Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems. WSDM 2020: 304-312 - [c85]Peijie Sun, Le Wu, Kun Zhang, Yanjie Fu, Richang Hong, Meng Wang:
Dual Learning for Explainable Recommendation: Towards Unifying User Preference Prediction and Review Generation. WWW 2020: 837-847 - [i30]Lei Chen, Le Wu, Richang Hong, Kun Zhang, Meng Wang:
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach. CoRR abs/2001.10167 (2020) - [i29]Le Wu, Junwei Li, Peijie Sun, Richang Hong, Yong Ge, Meng Wang:
DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation. CoRR abs/2002.00844 (2020) - [i28]Wenqiang Lei, Xiangnan He, Yisong Miao, Qingyun Wu, Richang Hong, Min-Yen Kan, Tat-Seng Chua:
Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems. CoRR abs/2002.09102 (2020) - [i27]Hengtong Hu, Lingxi Xie, Richang Hong, Qi Tian:
Creating Something from Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing. CoRR abs/2004.00280 (2020) - [i26]Yukun Huang, Zheng-Jun Zha, Xueyang Fu, Richang Hong, Liang Li:
Real-world Person Re-Identification via Degradation Invariance Learning. CoRR abs/2004.04933 (2020) - [i25]Jun He, Richang Hong, Xueliang Liu, Mingliang Xu, Zhengjun Zha, Meng Wang:
Memory-Augmented Relation Network for Few-Shot Learning. CoRR abs/2005.04414 (2020) - [i24]Shijie Hao, Yuan Zhou, Yanrong Guo, Richang Hong:
Bi-direction Context Propagation Network for Real-time Semantic Segmentation. CoRR abs/2005.11034 (2020) - [i23]Le Wu, Yonghui Yang, Lei Chen, Defu Lian, Richang Hong, Meng Wang:
Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation. CoRR abs/2005.11724 (2020) - [i22]Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Yanjie Fu, Meng Wang:
Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach. CoRR abs/2005.12021 (2020) - [i21]Kang Liu, Feng Xue, Richang Hong:
RGCF: Refined Graph Convolution Collaborative Filtering with concise and expressive embedding. CoRR abs/2007.03383 (2020) - [i20]Hengtong Hu, Lingxi Xie, Zewei Du, Richang Hong, Qi Tian:
One-bit Supervision for Image Classification. CoRR abs/2009.06168 (2020)
2010 – 2019
- 2019
- [j100]Fu Xiao, Lei Chen, Hai Zhu, Richang Hong, Ruchuan Wang:
Anomaly-Tolerant Network Traffic Estimation via Noise-Immune Temporal Matrix Completion Model. IEEE J. Sel. Areas Commun. 37(6): 1192-1204 (2019) - [j99]Mengqiu Hu, Yang Yang, Fumin Shen, Ning Xie, Richang Hong, Heng Tao Shen:
Collective Reconstructive Embeddings for Cross-Modal Hashing. IEEE Trans. Image Process. 28(6): 2770-2784 (2019) - [j98]Hantao Yao, Shiliang Zhang, Richang Hong, Yongdong Zhang, Changsheng Xu, Qi Tian:
Deep Representation Learning With Part Loss for Person Re-Identification. IEEE Trans. Image Process. 28(6): 2860-2871 (2019) - [j97]Feng Xue, Xiangnan He, Xiang Wang, Jiandong Xu, Kai Liu, Richang Hong:
Deep Item-based Collaborative Filtering for Top-N Recommendation. ACM Trans. Inf. Syst. 37(3): 33:1-33:25 (2019) - [j96]Xueliang Liu, Meng Wang, Zheng-Jun Zha, Richang Hong:
Cross-Modality Feature Learning via Convolutional Autoencoder. ACM Trans. Multim. Comput. Commun. Appl. 15(1s): 7:1-7:20 (2019) - [j95]Richang Hong, Yahong Han, Tat-Seng Chua:
Introduction to the Special Issue on the Cross-Media Analysis for Visual Question Answering. ACM Trans. Multim. Comput. Commun. Appl. 15(2s): 48:1-48:3 (2019) - [j94]Richang Hong:
Table of Contents: Online Supplement Volume 15, Number 2s. ACM Trans. Multim. Comput. Commun. Appl. 15(3) (2019) - [j93]Zhangcheng Wang, Ya Li, Richang Hong, Xinmei Tian:
Eigenvector-Based Distance Metric Learning for Image Classification and Retrieval. ACM Trans. Multim. Comput. Commun. Appl. 15(3): 84:1-84:19 (2019) - [j92]Xueliang Liu, Rongjie Zhang, Zhijun Meng, Richang Hong, Guangcan Liu:
On fusing the latent deep CNN feature for image classification. World Wide Web 22(2): 423-436 (2019) - [j91]Xueliang Liu, Rongjie Zhang, Zhijun Meng, Richang Hong, Guangcan Liu:
Correction to: On fusing the latent deep CNN feature for image classification. World Wide Web 22(4): 1887 (2019) - [c84]Jiawei Liu, Zheng-Jun Zha, Di Chen, Richang Hong, Meng Wang:
Adaptive Transfer Network for Cross-Domain Person Re-Identification. CVPR 2019: 7202-7211 - [c83]Yanyan Wei, Zhao Zhang, Haijun Zhang, Richang Hong, Meng Wang:
A Coarse-to-Fine Multi-stream Hybrid Deraining Network for Single Image Deraining. ICDM 2019: 628-637 - [c82]Fei Liu, Jing Liu, Zhiwei Fang, Richang Hong, Hanqing Lu:
Densely Connected Attention Flow for Visual Question Answering. IJCAI 2019: 869-875 - [c81]Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang:
Personalized Multimedia Item and Key Frame Recommendation. IJCAI 2019: 1431-1437 - [c80]Jiawei Liu, Zheng-Jun Zha, Richang Hong, Meng Wang, Yongdong Zhang:
Deep Adversarial Graph Attention Convolution Network for Text-Based Person Search. ACM Multimedia 2019: 665-673 - [c79]Liqiang Nie, Wenjie Wang, Richang Hong, Meng Wang, Qi Tian:
Multimodal Dialog System: Generating Responses via Adaptive Decoders. ACM Multimedia 2019: 1098-1106 - [c78]Fei Liu, Jing Liu, Richang Hong, Hanqing Lu:
Erasing-based Attention Learning for Visual Question Answering. ACM Multimedia 2019: 1175-1183 - [c77]Yinwei Wei, Xiang Wang, Liqiang Nie, Xiangnan He, Richang Hong, Tat-Seng Chua:
MMGCN: Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-video. ACM Multimedia 2019: 1437-1445 - [c76]Zhao Zhang, Jiahuan Ren, Sheng Li, Richang Hong, Zhengjun Zha, Meng Wang:
Robust Subspace Discovery by Block-diagonal Adaptive Locality-constrained Representation. ACM Multimedia 2019: 1569-1577 - [c75]Ling Shen, Richang Hong, Haoran Zhang, Hanwang Zhang, Meng Wang:
Single-shot Semantic Image Inpainting with Densely Connected Generative Networks. ACM Multimedia 2019: 1861-1869 - [c74]Zan Gao, Li-Shuai Gao, Hua Zhang, Zhiyong Cheng, Richang Hong:
Deep Spatial Pyramid Features Collaborative Reconstruction for Partial Person ReID. ACM Multimedia 2019: 1879-1887 - [c73]Hengtong Hu, Richang Hong, Weijie Fu, Meng Wang:
Efficient Graph Based Multi-view Learning. MMM (1) 2019: 691-703 - [c72]Le Wu, Peijie Sun, Yanjie Fu, Richang Hong, Xiting Wang, Meng Wang:
A Neural Influence Diffusion Model for Social Recommendation. SIGIR 2019: 235-244 - [i19]Lin Wu, Richang Hong, Yang Wang, Meng Wang:
Cross-Entropy Adversarial View Adaptation for Person Re-identification. CoRR abs/1904.01755 (2019) - [i18]Le Wu, Peijie Sun, Yanjie Fu, Richang Hong, Xiting Wang, Meng Wang:
A Neural Influence Diffusion Model for Social Recommendation. CoRR abs/1904.10322 (2019) - [i17]Zhengguang Zhou, Wengang Zhou, Richang Hong, Houqiang Li:
Online Filter Clustering and Pruning for Efficient Convnets. CoRR abs/1905.11787 (2019) - [i16]Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang:
Personalized Multimedia Item and Key Frame Recommendation. CoRR abs/1906.00246 (2019) - [i15]Richang Hong, Daqing Liu, Xiaoyu Mo, Xiangnan He, Hanwang Zhang:
Learning to Compose and Reason with Language Tree Structures for Visual Grounding. CoRR abs/1906.01784 (2019) - [i14]Zhao Zhang, Jiahuan Ren, Weiming Jiang, Zheng Zhang, Richang Hong, Shuicheng Yan, Meng Wang:
Joint Subspace Recovery and Enhanced Locality Driven Robust Flexible Discriminative Dictionary Learning. CoRR abs/1906.04598 (2019) - [i13]Zhao Zhang, Jiahuan Ren, Sheng Li, Richang Hong, Zheng-Jun Zha, Meng Wang:
Robust Subspace Discovery by Block-diagonal Adaptive Locality-constrained Representation. CoRR abs/1908.01266 (2019) - [i12]Yanyan Wei, Zhao Zhang, Haijun Zhang, Richang Hong, Meng Wang:
A Coarse-to-Fine Multi-stream Hybrid Deraining Network for Single Image Deraining. CoRR abs/1908.10521 (2019) - [i11]Biao Qian, Yang Wang, Zhao Zhang, Richang Hong, Meng Wang, Ling Shao:
Diversifying Inference Path Selection: Moving-Mobile-Network for Landmark Recognition. CoRR abs/1912.00418 (2019) - 2018
- [j90]Teng Li, Yan Wang, Richang Hong, Meng Wang, Xinyu Wu:
pDisVPL: Probabilistic Discriminative Visual Part Learning for Image Classification. IEEE Multim. 25(4): 34-45 (2018) - [j89]Liqiang Nie, Richang Hong, Peng Cui:
Guest Editorial: Query understanding. Neurocomputing 274: 1-2 (2018) - [j88]Shichao Zhao, Yanbin Liu, Yahong Han, Richang Hong, Qinghua Hu, Qi Tian:
Pooling the Convolutional Layers in Deep ConvNets for Video Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 28(8): 1839-1849 (2018) - [j87]Jingkuan Song, Hanwang Zhang, Xiangpeng Li, Lianli Gao, Meng Wang, Richang Hong:
Self-Supervised Video Hashing With Hierarchical Binary Auto-Encoder. IEEE Trans. Image Process. 27(7): 3210-3221 (2018) - [j86]Youjiang Xu, Yahong Han, Richang Hong, Qi Tian:
Sequential Video VLAD: Training the Aggregation Locally and Temporally. IEEE Trans. Image Process. 27(10): 4933-4944 (2018) - [j85]Yun Zhou, Jianghong Han, Fan Yang, Kaihua Zhang, Richang Hong:
Efficient Correlation Tracking via Center-Biased Spatial Regularization. IEEE Trans. Image Process. 27(12): 6159-6173 (2018) - [j84]Le Wu, Qi Liu, Richang Hong, Enhong Chen, Yong Ge, Xing Xie, Meng Wang:
Product Adoption Rate Prediction in a Competitive Market. IEEE Trans. Knowl. Data Eng. 30(2): 325-338 (2018) - [c71]Bo Wang, Youjiang Xu, Yahong Han, Richang Hong:
Movie Question Answering: Remembering the Textual Cues for Layered Visual Contents. AAAI 2018: 7380-7387 - [c70]Zhuang Feng, Zhiyuan Zhou, Richang Hong, Shijie Hao, Yong Ge, Meng Wang:
Single Low-Light Image Enhancement by Fusing Multiple Sources. BigMM 2018: 1-4 - [c69]Yuanen Zhou, Zhenzhen Hu, Ye Zhao, Xueliang Liu, Richang Hong:
Enhanced Text-Guided Attention Model for Image Captioning. BigMM 2018: 1-5 - [c68]Ning Wang, Wengang Zhou, Qi Tian, Richang Hong, Meng Wang, Houqiang Li:
Multi-Cue Correlation Filters for Robust Visual Tracking. CVPR 2018: 4844-4853 - [c67]Guotian Xie, Jingdong Wang, Ting Zhang, Jianhuang Lai, Richang Hong, Guo-Jun Qi:
Interleaved Structured Sparse Convolutional Neural Networks. CVPR 2018: 8847-8856 - [c66]Zhengguang Zhou, Wengang Zhou, Houqiang Li, Richang Hong:
Online Filter Clustering and Pruning for Efficient Convnets. ICIP 2018: 11-15 - [c65]Feng Lin, Richang Hong, Wengang Zhou, Houqiang Li:
Facial Expression Recognition with Data Augmentation and Compact Feature Learning. ICIP 2018: 1957-1961 - [c64]Zhengguang Zhou, Wengang Zhou, Richang Hong, Houqiang Li:
Online Filter Weakening and Pruning for Efficient Convnets. ICME 2018: 1-6 - [c63]Xiaochi Wei, Heyan Huang, Liqiang Nie, Fuli Feng, Richang Hong, Tat-Seng Chua:
Quality Matters: Assessing cQA Pair Quality via Transductive Multi-View Learning. IJCAI 2018: 4482-4488 - [c62]Lizi Liao, Yunshan Ma, Xiangnan He, Richang Hong, Tat-Seng Chua:
Knowledge-aware Multimodal Dialogue Systems. ACM Multimedia 2018: 801-809 - [c61]Lizi Liao, You Zhou, Yunshan Ma, Richang Hong, Tat-Seng Chua:
Knowledge-aware Multimodal Fashion Chatbot. ACM Multimedia 2018: 1265-1266 - [c60]Chenmin Xu, Shijie Hao, Yanrong Guo, Richang Hong:
Enhancing Low-Light Images with JPEG Artifact Based on Image Decomposition. PCM (2) 2018: 3-12 - [c59]Da Cao, Xiangnan He, Lianhai Miao, Yahui An, Chao Yang, Richang Hong:
Attentive Group Recommendation. SIGIR 2018: 645-654 - [e8]Benoit Huet, Liqiang Nie, Richang Hong:
Internet Multimedia Computing and Service - 9th International Conference, ICIMCS 2017, Qingdao, China, August 23-25, 2017, Revised Selected Papers. Communications in Computer and Information Science 819, Springer 2018, ISBN 978-981-10-8529-1 [contents] - [e7]Richang Hong, Wen-Huang Cheng, Toshihiko Yamasaki, Meng Wang, Chong-Wah Ngo:
Advances in Multimedia Information Processing - PCM 2018 - 19th Pacific-Rim Conference on Multimedia, Hefei, China, September 21-22, 2018, Proceedings, Part I. Lecture Notes in Computer Science 11164, Springer 2018, ISBN 978-3-030-00775-1 [contents] - [e6]Richang Hong, Wen-Huang Cheng, Toshihiko Yamasaki, Meng Wang, Chong-Wah Ngo:
Advances in Multimedia Information Processing - PCM 2018 - 19th Pacific-Rim Conference on Multimedia, Hefei, China, September 21-22, 2018, Proceedings, Part II. Lecture Notes in Computer Science 11165, Springer 2018, ISBN 978-3-030-00766-9 [contents] - [e5]