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2020 – today
- 2020
[j143]Ard Oerlemans, Yanming Guo, Michael S. Lew, Tat-Seng Chua:
Special issue on deep learning in image and video retrieval. Int. J. Multim. Inf. Retr. 9(2): 61-62 (2020)- [j142]Bo Peng
, Jianjun Lei, Huazhu Fu, Changqing Zhang, Tat-Seng Chua, Xuelong Li:
Unsupervised Video Action Clustering via Motion-Scene Interaction Constraint. IEEE Trans. Circuits Syst. Video Technol. 30(1): 131-144 (2020) - [j141]Jinhui Tang, Xiaoyu Du, Xiangnan He, Fajie Yuan, Qi Tian, Tat-Seng Chua:
Adversarial Training Towards Robust Multimedia Recommender System. IEEE Trans. Knowl. Data Eng. 32(5): 855-867 (2020) - [j140]Xiaoyan Gao, Fuli Feng, Xiangnan He, Heyan Huang, Xinyu Guan, Chong Feng, Zhaoyan Ming, Tat-Seng Chua:
Hierarchical Attention Network for Visually-Aware Food Recommendation. IEEE Trans. Multimedia 22(6): 1647-1659 (2020) - [j139]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) - [j138]Francesco Gelli, Tiberio Uricchio, Xiangnan He, Alberto Del Bimbo, Tat-Seng Chua:
Learning Visual Elements of Images for Discovery of Brand Posts. ACM Trans. Multim. Comput. Commun. Appl. 16(2): 56:1-56:21 (2020) - [c366]Tiancheng Shen, Jia Jia, Yan Li, Yihui Ma, Yaohua Bu, Hanjie Wang, Bo Chen, Tat-Seng Chua, Wendy Hall:
PEIA: Personality and Emotion Integrated Attentive Model for Music Recommendation on Social Media Platforms. AAAI 2020: 206-213 - [c365]Haozhe Wu, Zhiyuan Hu, Jia Jia, Yaohua Bu, Xiangnan He, Tat-Seng Chua:
Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction. AAAI 2020: 254-261 - [c364]Chuang Lin, Sicheng Zhao, Lei Meng, Tat-Seng Chua:
Multi-Source Domain Adaptation for Visual Sentiment Classification. AAAI 2020: 2661-2668 - [c363]Chen Qian, Fuli Feng, Lijie Wen, Zhenpeng Chen, Li Lin, Yanan Zheng, Tat-Seng Chua:
Solving Sequential Text Classification as Board-Game Playing. AAAI 2020: 8640-8648 - [c362]Meihan Tong, Shuai Wang, Yixin Cao, Bin Xu, Juanzi Li, Lei Hou, Tat-Seng Chua:
Image Enhanced Event Detection in News Articles. AAAI 2020: 9040-9047 - [c361]Jingjing Chen, Liangming Pan, Zhipeng Wei, Xiang Wang, Chong-Wah Ngo, Tat-Seng Chua:
Zero-Shot Ingredient Recognition by Multi-Relational Graph Convolutional Network. AAAI 2020: 10542-10550 - [c360]Zhipeng Wei, Jingjing Chen, Xingxing Wei, Linxi Jiang, Tat-Seng Chua, Fengfeng Zhou, Yu-Gang Jiang:
Heuristic Black-Box Adversarial Attacks on Video Recognition Models. AAAI 2020: 12338-12345 - [c359]Yixin Cao, Ruihao Shui, Liangming Pan, Min-Yen Kan, Zhiyuan Liu, Tat-Seng Chua:
Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen. ACL 2020: 1061-1071 - [c358]Liangming Pan, Yuxi Xie, Yansong Feng, Tat-Seng Chua, Min-Yen Kan:
Semantic Graphs for Generating Deep Questions. ACL 2020: 1463-1475 - [c357]Shaoteng Liu, Jingjing Chen, Liangming Pan, Chong-Wah Ngo, Tat-Seng Chua, Yu-Gang Jiang:
Hyperbolic Visual Embedding Learning for Zero-Shot Recognition. CVPR 2020: 9270-9278 - [c356]Na Zhao, Tat-Seng Chua, Gim Hee Lee:
SESS: Self-Ensembling Semi-Supervised 3D Object Detection. CVPR 2020: 11076-11084 - [c355]Wenqiang Lei, Gangyi Zhang, Xiangnan He, Yisong Miao, Xiang Wang, Liang Chen, Tat-Seng Chua:
Interactive Path Reasoning on Graph for Conversational Recommendation. KDD 2020: 2073-2083 - [c354]Yunshan Ma, Yujuan Ding, Xun Yang, Lizi Liao, Wai Keung Wong, Tat-Seng Chua:
Knowledge Enhanced Neural Fashion Trend Forecasting. ICMR 2020: 82-90 - [c353]Lizi Liao, Lyndon Kennedy, Lynn Wilcox, Tat-Seng Chua:
Crowd Knowledge Enhanced Multimodal Conversational Assistant in Travel Domain. MMM (1) 2020: 405-418 - [c352]Xingchen Li, Xiang Wang, Xiangnan He, Long Chen, Jun Xiao, Tat-Seng Chua:
Hierarchical Fashion Graph Network for Personalized Outfit Recommendation. SIGIR 2020: 159-168 - [c351]Xiang Wang, Hongye Jin, An Zhang, Xiangnan He, Tong Xu, Tat-Seng Chua:
Disentangled Graph Collaborative Filtering. SIGIR 2020: 1001-1010 - [c350]Chen Qian, Fuli Feng, Lijie Wen, Li Lin, Tat-Seng Chua:
Enhancing Text Classification via Discovering Additional Semantic Clues from Logograms. SIGIR 2020: 1201-1210 - [c349]Xun Yang, Jianfeng Dong, Yixin Cao, Xun Wang, Meng Wang, Tat-Seng Chua:
Tree-Augmented Cross-Modal Encoding for Complex-Query Video Retrieval. SIGIR 2020: 1339-1348 - [c348]Wenqiang Lei, Xiangnan He, Maarten de Rijke, Tat-Seng Chua:
Conversational Recommendation: Formulation, Methods, and Evaluation. SIGIR 2020: 2425-2428 - [c347]Fuli Feng, Cheng Luo, Xiangnan He, Yiqun Liu, Tat-Seng Chua:
FinIR 2020: The First Workshop on Information Retrieval in Finance. SIGIR 2020: 2451-2454 - [c346]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 - [c345]Xiang Wang, Xiangnan He, Tat-Seng Chua:
Learning and Reasoning on Graph for Recommendation. WSDM 2020: 890-893 - [c344]Xiang Wang, Yaokun Xu, Xiangnan He, Yixin Cao, Meng Wang, Tat-Seng Chua:
Reinforced Negative Sampling over Knowledge Graph for Recommendation. WWW 2020: 99-109 - [i72]Chuang Lin, Sicheng Zhao, Lei Meng, Tat-Seng Chua:
Multi-source Domain Adaptation for Visual Sentiment Classification. CoRR abs/2001.03886 (2020) - [i71]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) - [i70]Fuli Feng, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Cross-GCN: Enhancing Graph Convolutional Network with k-Order Feature Interactions. CoRR abs/2003.02587 (2020) - [i69]Xiang Wang, Yaokun Xu, Xiangnan He, Yixin Cao, Meng Wang, Tat-Seng Chua:
Reinforced Negative Sampling over Knowledge Graph for Recommendation. CoRR abs/2003.05753 (2020) - [i68]Zheng Zhang, Lizi Liao, Xiaoyan Zhu, Tat-Seng Chua, Zitao Liu, Yan Huang, Minlie Huang:
Learning Goal-oriented Dialogue Policy with Opposite Agent Awareness. CoRR abs/2004.09731 (2020) - [i67]Liangming Pan, Yuxi Xie, Yansong Feng, Tat-Seng Chua, Min-Yen Kan:
Semantic Graphs for Generating Deep Questions. CoRR abs/2004.12704 (2020) - [i66]Yixin Cao, Ruihao Shui, Liangming Pan, Min-Yen Kan, Zhiyuan Liu, Tat-Seng Chua:
Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen. CoRR abs/2005.00701 (2020) - [i65]Yunshan Ma, Yujuan Ding, Xun Yang, Lizi Liao, Wai Keung Wong, Tat-Seng Chua:
Knowledge Enhanced Neural Fashion Trend Forecasting. CoRR abs/2005.03297 (2020) - [i64]Xingchen Li, Xiang Wang, Xiangnan He, Long Chen, Jun Xiao, Tat-Seng Chua:
Hierarchical Fashion Graph Network for Personalized Outfit Recommendation. CoRR abs/2005.12566 (2020) - [i63]Shijun Li, Wenqiang Lei, Qingyun Wu, Xiangnan He, Peng Jiang, Tat-Seng Chua:
Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-Start Users. CoRR abs/2005.12979 (2020) - [i62]Lizi Liao, Yunshan Ma, Wenqiang Lei, Tat-Seng Chua:
Rethinking Dialogue State Tracking with Reasoning. CoRR abs/2005.13129 (2020) - [i61]Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie, Tat-Seng Chua:
Denoising Implicit Feedback for Recommendation. CoRR abs/2006.04153 (2020) - [i60]Kun Liu, Xun Yang, Tat-Seng Chua, Huadong Ma, Chuang Gan:
Language Guided Networks for Cross-modal Moment Retrieval. CoRR abs/2006.10457 (2020) - [i59]Na Zhao, Tat-Seng Chua, Gim Hee Lee:
Few-shot 3D Point Cloud Semantic Segmentation. CoRR abs/2006.12052 (2020) - [i58]Wenqiang Lei, Gangyi Zhang, Xiangnan He, Yisong Miao, Xiang Wang, Liang Chen, Tat-Seng Chua:
Interactive Path Reasoning on Graph for Conversational Recommendation. CoRR abs/2007.00194 (2020) - [i57]Xiang Wang, Hongye Jin, An Zhang, Xiangnan He, Tong Xu, Tat-Seng Chua:
Disentangled Graph Collaborative Filtering. CoRR abs/2007.01764 (2020) - [i56]Xun Yang, Jianfeng Dong, Yixin Cao, Xun Wang, Meng Wang, Tat-Seng Chua:
Tree-Augmented Cross-Modal Encoding for Complex-Query Video Retrieval. CoRR abs/2007.02503 (2020) - [i55]Junbin Xiao, Xindi Shang, Xun Yang, Sheng Tang, Tat-Seng Chua:
Visual Relation Grounding in Videos. CoRR abs/2007.08814 (2020) - [i54]Lingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua, Christian Theobalt:
Neural Sparse Voxel Fields. CoRR abs/2007.11571 (2020) - [i53]Liangming Pan, Jingjing Chen, Jianlong Wu, Shaoteng Liu, Chong-Wah Ngo, Min-Yen Kan, Yu-Gang Jiang, Tat-Seng Chua:
Multi-modal Cooking Workflow Construction for Food Recipes. CoRR abs/2008.09151 (2020) - [i52]Wenjie Wang, Fuli Feng, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
"Click" Is Not Equal to "Like": Counterfactual Recommendation for Mitigating Clickbait Issue. CoRR abs/2009.09945 (2020)
2010 – 2019
- 2019
- [j137]Mingxing Zhang, Yang Yang, Hanwang Zhang, Yanli Ji, Heng Tao Shen, Tat-Seng Chua:
More is Better: Precise and Detailed Image Captioning Using Online Positive Recall and Missing Concepts Mining. IEEE Trans. Image Process. 28(1): 32-44 (2019) - [j136]Wenlong Xie, Hongxun Yao, Xiaoshuai Sun, Tingting Han, Sicheng Zhao, Tat-Seng Chua:
Discovering Latent Discriminative Patterns for Multi-Mode Event Representation. IEEE Trans. Multimedia 21(6): 1425-1436 (2019) - [j135]Fuli Feng, Xiangnan He, Xiang Wang, Cheng Luo, Yiqun Liu, Tat-Seng Chua:
Temporal Relational Ranking for Stock Prediction. ACM Trans. Inf. Syst. 37(2): 27:1-27:30 (2019) - [j134]Xinyu Guan, Zhiyong Cheng, Xiangnan He, Yongfeng Zhang, Zhibo Zhu, Qinke Peng, Tat-Seng Chua:
Attentive Aspect Modeling for Review-Aware Recommendation. ACM Trans. Inf. Syst. 37(3): 28:1-28:27 (2019) - [j133]Xiaoyu Du, Xiangnan He, Fajie Yuan, Jinhui Tang, Zhiguang Qin, Tat-Seng Chua:
Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering. ACM Trans. Inf. Syst. 37(4): 47:1-47:22 (2019) - [j132]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) - [c343]Xun Yang, Yunshan Ma, Lizi Liao, Meng Wang, Tat-Seng Chua:
TransNFCM: Translation-Based Neural Fashion Compatibility Modeling. AAAI 2019: 403-410 - [c342]Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, Tat-Seng Chua:
Explainable Reasoning over Knowledge Graphs for Recommendation. AAAI 2019: 5329-5336 - [c341]Ivan Samborskii, Aleksandr Farseev, Andrey Filchenkov, Tat-Seng Chua:
A Whole New Ball Game: Harvesting Game Data for Player Profiling. AAAI 2019: 10025-10026 - [c340]Hao Zhu, Yankai Lin, Zhiyuan Liu, Jie Fu, Tat-Seng Chua, Maosong Sun:
Graph Neural Networks with Generated Parameters for Relation Extraction. ACL (1) 2019: 1331-1339 - [c339]Yixin Cao, Zhiyuan Liu, Chengjiang Li, Zhiyuan Liu, Juanzi Li, Tat-Seng Chua:
Multi-Channel Graph Neural Network for Entity Alignment. ACL (1) 2019: 1452-1461 - [c338]Donglin Di, Xindi Shang, Weinan Zhang, Xun Yang, Tat-Seng Chua:
Multiple Hypothesis Video Relation Detection. BigMM 2019: 287-291 - [c337]Xiaogang Wang, Qianru Sun, Tat-Seng Chua, Marcelo H. Ang Jr.:
Generating Expensive Relationship Features from Cheap Objects. BMVC 2019: 224 - [c336]Yunan Wang, Jingjing Chen, Chong-Wah Ngo, Tat-Seng Chua, Wanli Zuo, Zhaoyan Ming:
Mixed Dish Recognition through Multi-Label Learning. CEA@ICMR 2019: 1-8 - [c335]Xiang Wang, Xiangnan He, Tat-Seng Chua:
Learning and Reasoning on Graph for Recommendation. CIKM 2019: 2971-2972 - [c334]Qianru Sun, Yaoyao Liu, Tat-Seng Chua, Bernt Schiele:
Meta-Transfer Learning for Few-Shot Learning. CVPR 2019: 403-412 - [c333]Yixin Cao, Zikun Hu, Tat-Seng Chua, Zhiyuan Liu, Heng Ji:
Low-Resource Name Tagging Learned with Weakly Labeled Data. EMNLP/IJCNLP (1) 2019: 261-270 - [c332]Wenqiang Lei, Weiwen Xu, Ai Ti Aw, Yuanxin Xiang, Tat-Seng Chua:
Revisit Automatic Error Detection for Wrong and Missing Translation - A Supervised Approach. EMNLP/IJCNLP (1) 2019: 942-952 - [c331]Chengjiang Li, Yixin Cao, Lei Hou, Jiaxin Shi, Juanzi Li, Tat-Seng Chua:
Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model. EMNLP/IJCNLP (1) 2019: 2723-2732 - [c330]Chen Gao, Xiangnan He, Dahua Gan, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua, Depeng Jin:
Neural Multi-task Recommendation from Multi-behavior Data. ICDE 2019: 1554-1557 - [c329]Fuli Feng, Huimin Chen, Xiangnan He, Ji Ding, Maosong Sun, Tat-Seng Chua:
Enhancing Stock Movement Prediction with Adversarial Training. IJCAI 2019: 5843-5849 - [c328]Xiang Wang, Xiangnan He, Yixin Cao, Meng Liu, Tat-Seng Chua:
KGAT: Knowledge Graph Attention Network for Recommendation. KDD 2019: 950-958 - [c327]Tat-Seng Chua:
Keynote: Towards Explainability in AI and Multimedia Research. ICMR 2019: 1 - [c326]Xindi Shang, Donglin Di, Junbin Xiao, Yu Cao, Xun Yang, Tat-Seng Chua:
Annotating Objects and Relations in User-Generated Videos. ICMR 2019: 279-287 - [c325]Zhipeng Wei, Jingjing Chen, Zhaoyan Ming, Chong-Wah Ngo, Tat-Seng Chua, Fengfeng Zhou:
DietLens-Eout: Large Scale Restaurant Food Photo Recognition. ICMR 2019: 399-403 - [c324]Lixi Deng, Jingjing Chen, Qianru Sun, Xiangnan He, Sheng Tang, Zhaoyan Ming, Yongdong Zhang, Tat-Seng Chua:
Mixed-dish Recognition with Contextual Relation Networks. ACM Multimedia 2019: 112-120 - [c323]Yunshan Ma, Xun Yang, Lizi Liao, Yixin Cao, Tat-Seng Chua:
Who, Where, and What to Wear?: Extracting Fashion Knowledge from Social Media. ACM Multimedia 2019: 257-265 - [c322]Lei Meng, Long Chen, Xun Yang, Dacheng Tao, Hanwang Zhang, Chunyan Miao, Tat-Seng Chua:
Learning Using Privileged Information for Food Recognition. ACM Multimedia 2019: 557-565 - [c321]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 - [c320]Yunshan Ma, Lizi Liao, Tat-Seng Chua:
Automatic Fashion Knowledge Extraction from Social Media. ACM Multimedia 2019: 2223-2224 - [c319]Francesco Gelli, Tiberio Uricchio, Xiangnan He, Alberto Del Bimbo, Tat-Seng Chua:
Learning Subjective Attributes of Images from Auxiliary Sources. ACM Multimedia 2019: 2263-2271 - [c318]Vivek K. Singh, Elisabeth André, Susanne Boll, Mireille Hildebrandt, David A. Shamma, Tat-Seng Chua:
Legal and Ethical Challenges in Multimedia Research. ACM Multimedia 2019: 2514-2515 - [c317]Xindi Shang, Junbin Xiao, Donglin Di, Tat-Seng Chua:
Relation Understanding in Videos: A Grand Challenge Overview. ACM Multimedia 2019: 2652-2656 - [c316]Xinzhe Li, Qianru Sun, Yaoyao Liu, Qin Zhou, Shibao Zheng, Tat-Seng Chua, Bernt Schiele:
Learning to Self-Train for Semi-Supervised Few-Shot Classification. NeurIPS 2019: 10276-10286 - [c315]Xiang Wang, Xiangnan He, Meng Wang, Fuli Feng, Tat-Seng Chua:
Neural Graph Collaborative Filtering. SIGIR 2019: 165-174 - [c314]Xun Yang, Xiangnan He, Xiang Wang, Yunshan Ma, Fuli Feng, Meng Wang, Tat-Seng Chua:
Interpretable Fashion Matching with Rich Attributes. SIGIR 2019: 775-784 - [c313]Yixin Cao, Xiang Wang, Xiangnan He, Zikun Hu, Tat-Seng Chua:
Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences. WWW 2019: 151-161 - [c312]Zheng Zhang, Lizi Liao, Minlie Huang, Xiaoyan Zhu, Tat-Seng Chua:
Neural Multimodal Belief Tracker with Adaptive Attention for Dialogue Systems. WWW 2019: 2401-2412 - [i51]Hao Zhu, Yankai Lin, Zhiyuan Liu, Jie Fu, Tat-Seng Chua, Maosong Sun:
Graph Neural Networks with Generated Parameters for Relation Extraction. CoRR abs/1902.00756 (2019) - [i50]Yixin Cao, Xiang Wang, Xiangnan He, Zikun Hu, Tat-Seng Chua:
Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences. CoRR abs/1902.06236 (2019) - [i49]Fuli Feng, Xiangnan He, Jie Tang, Tat-Seng Chua:
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure. CoRR abs/1902.08226 (2019) - [i48]Yaoyao Liu, Qianru Sun, An-An Liu, Yuting Su, Bernt Schiele, Tat-Seng Chua:
LCC: Learning to Customize and Combine Neural Networks for Few-Shot Learning. CoRR abs/1904.08479 (2019) - [i47]Xiang Wang, Xiangnan He, Yixin Cao, Meng Liu, Tat-Seng Chua:
KGAT: Knowledge Graph Attention Network for Recommendation. CoRR abs/1905.07854 (2019) - [i46]Xiang Wang, Xiangnan He, Meng Wang, Fuli Feng, Tat-Seng Chua:
Neural Graph Collaborative Filtering. CoRR abs/1905.08108 (2019) - [i45]Liangming Pan, Wenqiang Lei, Tat-Seng Chua, Min-Yen Kan:
Recent Advances in Neural Question Generation. CoRR abs/1905.08949 (2019) - [i44]Qianru Sun, Xinzhe Li, Yaoyao Liu, Shibao Zheng, Tat-Seng Chua, Bernt Schiele:
Learning to Self-Train for Semi-Supervised Few-Shot Classification. CoRR abs/1906.00562 (2019) - [i43]Xiaoyu Du, Xiangnan He, Fajie Yuan, Jinhui Tang, Zhiguang Qin, Tat-Seng Chua:
Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering. CoRR abs/1906.11171 (2019) - [i42]Lizi Liao, Ryuichi Takanobu, Yunshan Ma, Xun Yang, Minlie Huang, Tat-Seng Chua:
Deep Conversational Recommender in Travel. CoRR abs/1907.00710 (2019) - [i41]Yunshan Ma, Lizi Liao, Tat-Seng Chua:
Automatic Fashion Knowledge Extraction from Social Media. CoRR abs/1908.04045 (2019) - [i40]Na Zhao, Tat-Seng Chua, Gim Hee Lee:
PS^2-Net: A Locally and Globally Aware Network for Point-Based Semantic Segmentation. CoRR abs/1908.05425 (2019) - [i39]Yunshan Ma, Xun Yang, Lizi Liao, Yixin Cao, Tat-Seng Chua:
Who, Where, and What to Wear? Extracting Fashion Knowledge from Social Media. CoRR abs/1908.08985 (2019) - [i38]Yixin Cao, Zikun Hu, Tat-Seng Chua, Zhiyuan Liu, Heng Ji:
Low-Resource Name Tagging Learned with Weakly Labeled Data. CoRR abs/1908.09659 (2019) - [i37]Yixin Cao, Zhiyuan Liu, Chengjiang Li, Zhiyuan Liu, Juanzi Li, Tat-Seng Chua:
Multi-Channel Graph Neural Network for Entity Alignment. CoRR abs/1908.09898 (2019) - [i36]Qianru Sun, Yaoyao Liu, Zhaozheng Chen, Tat-Seng Chua, Bernt Schiele:
Meta-Transfer Learning through Hard Tasks. CoRR abs/1910.03648 (2019) - [i35]Haozhe Wu, Zhiyuan Hu, Jia Jia, Yaohua Bu, Xiangnan He, Tat-Seng Chua:
Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction. CoRR abs/1911.07156 (2019) - [i34]Zhipeng Wei, Jingjing Chen, Xingxing Wei, Linxi Jiang, Tat-Seng Chua, Fengfeng Zhou, Yu-Gang Jiang:
Heuristic Black-box Adversarial Attacks on Video Recognition Models. CoRR abs/1911.09449 (2019) - [i33]Na Zhao, Tat-Seng Chua, Gim Hee Lee:
SESS: Self-Ensembling Semi-Supervised 3D Object Detection. CoRR abs/1912.11803 (2019) - 2018
- [j131]Sicheng Zhao, Hongxun Yao, Yue Gao, Guiguang Ding, Tat-Seng Chua:
Predicting Personalized Image Emotion Perceptions in Social Networks. IEEE Trans. Affect. Comput. 9(4): 526-540 (2018) - [j130]Sicheng Zhao, Yue Gao, Guiguang Ding, Tat-Seng Chua:
Real-Time Multimedia Social Event Detection in Microblog. IEEE Trans. Cybern. 48(11): 3218-3231 (2018) - [j129]Lizi Liao, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Attributed Social Network Embedding. IEEE Trans. Knowl. Data Eng. 30(12): 2257-2270 (2018) - [j128]Xiangnan He, Zhankui He, Jingkuan Song, Zhenguang Liu, Yu-Gang Jiang, Tat-Seng Chua:
NAIS: Neural Attentive Item Similarity Model for Recommendation. IEEE Trans. Knowl. Data Eng. 30(12): 2354-2366 (2018) - [c311]Jingyuan Chen, Xinpeng Chen, Lin Ma, Zequn Jie, Tat-Seng Chua:
Temporally Grounding Natural Sentence in Video. EMNLP 2018: 162-171 - [c310]Tiancheng Shen, Jia Jia, Guangyao Shen, Fuli Feng, Xiangnan He, Huanbo Luan, Jie Tang, Thanassis Tiropanis, Tat-Seng Chua, Wendy Hall:
Cross-Domain Depression Detection via Harvesting Social Media. IJCAI 2018: 1611-1617 - [c309]Xiangnan He, Xiaoyu Du, Xiang Wang, Feng Tian, Jinhui Tang, Tat-Seng Chua:
Outer Product-based Neural Collaborative Filtering. IJCAI 2018: 2227-2233 - [c308]Jingtao Ding, Guanghui Yu, Xiangnan He, Yuhan Quan, Yong Li, Tat-Seng Chua, Depeng Jin, Jiajie Yu:
Improving Implicit Recommender Systems with View Data. IJCAI 2018: 3343-3349 - [c307]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 - [c306]Sicheng Zhao, Guiguang Ding, Qingming Huang, Tat-Seng Chua, Björn W. Schuller, Kurt Keutzer:
Affective Image Content Analysis: A Comprehensive Survey. IJCAI 2018: 5534-5541 - [c305]Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Recommendation Technologies for Multimedia Content. ICMR 2018: 8 - [c304]Francesco Gelli, Tiberio Uricchio, Xiangnan He, Alberto Del Bimbo, Tat-Seng Chua:
Beyond the Product: Discovering Image Posts for Brands in Social Media. ACM Multimedia 2018: 465-473 - [c303]Lizi Liao, Yunshan Ma, Xiangnan He, Richang Hong, Tat-Seng Chua:
Knowledge-aware Multimodal Dialogue Systems. ACM Multimedia 2018: 801-809 - [c302]Meng Liu, Xiang Wang, Liqiang Nie, Qi Tian, Baoquan Chen, Tat-Seng Chua:
Cross-modal Moment Localization in Videos. ACM Multimedia 2018: 843-851 - [c301]Jingjing Chen, Chong-Wah Ngo, Fuli Feng, Tat-Seng Chua:
Deep Understanding of Cooking Procedure for Cross-modal Recipe Retrieval. ACM Multimedia 2018: 1020-1028 - [c300]Lizi Liao, You Zhou, Yunshan Ma, Richang Hong, Tat-Seng Chua:
Knowledge-aware Multimodal Fashion Chatbot. ACM Multimedia 2018: 1265-1266 - [c299]Lizi Liao, Xiangnan He, Bo Zhao, Chong-Wah Ngo, Tat-Seng Chua:
Interpretable Multimodal Retrieval for Fashion Products. ACM Multimedia 2018: 1571-1579 - [c298]Zhaoyan Ming, Jingjing Chen, Yu Cao, Ciarán Forde, Chong-Wah Ngo, Tat-Seng Chua:
Food Photo Recognition for Dietary Tracking: System and Experiment. MMM (2) 2018: 129-141 - [c297]Jingyuan Chen, Xiangnan He, Xuemeng Song, Hanwang Zhang, Liqiang Nie, Tat-Seng Chua:
Venue Prediction for Social Images by Exploiting Rich Temporal Patterns in LBSNs. MMM (2) 2018: 327-339 - [c296]Stevan Rudinac, Tat-Seng Chua, Nicolas E. Diaz Ferreyra, Gerald Friedland, Tatjana Gornostaja, Benoit Huet, Rianne Kaptein, Krister Lindén, Marie-Francine Moens, Jaakko Peltonen, Miriam Redi, Markus Schedl, David A. Shamma, Alan F. Smeaton, Lexing Xie:
Rethinking Summarization and Storytelling for Modern Social Multimedia. MMM (1) 2018: 632-644 - [c295]Meng Liu, Xiang Wang, Liqiang Nie,