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Books and Theses
- 2016
[b2]Liqiang Nie, Xuemeng Song, Tat-Seng Chua:
Learning from Multiple Social Networks. Synthesis Lectures on Information Concepts, Retrieval, and Services, Morgan & Claypool Publishers 2016, ISBN 978-3-031-01172-6- 1982
- [b1]Tat-Seng Chua:
Mathematical software for gas transmission networks. University of Leeds, UK, 1982
Journal Articles
- 2024
- [j200]Yuan Yao, Ao Zhang, Zhengyan Zhang
, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun:
CPT: Colorful Prompt Tuning for pre-trained vision-language models. AI Open 5: 30-38 (2024) - [j199]Yujuan Ding, Zhihui Lai, P. Y. Mok, Tat-Seng Chua:
Computational Technologies for Fashion Recommendation: A Survey. ACM Comput. Surv. 56(5): 121:1-121:45 (2024) - [j198]Ang Ma, Yanhua Yu, Chuan Shi, Zirui Guo, Tat-Seng Chua:
Cross-view hypergraph contrastive learning for attribute-aware recommendation. Inf. Process. Manag. 61(4): 103701 (2024) - [j197]Tingyu Wang, Zhedong Zheng, Yaoqi Sun, Chenggang Yan, Yi Yang, Tat-Seng Chua:
Multiple-environment Self-adaptive Network for aerial-view geo-localization. Pattern Recognit. 152: 110363 (2024) - [j196]Jingyun Xu, Jiayuan Xie, Yi Cai, Zehang Lin, Ho-fung Leung, Qing Li, Tat-Seng Chua:
Context-Aware Dynamic Word Embeddings for Aspect Term Extraction. IEEE Trans. Affect. Comput. 15(1): 144-156 (2024) - [j195]Jianwu Fang, Fan Wang, Jianru Xue, Tat-Seng Chua:
Behavioral Intention Prediction in Driving Scenes: A Survey. IEEE Trans. Intell. Transp. Syst. 25(8): 8334-8355 (2024) - [j194]Yongduo Sui, Wenyu Mao, Shuyao Wang, Xiang Wang, Jiancan Wu, Xiangnan He, Tat-Seng Chua:
Enhancing Out-of-distribution Generalization on Graphs via Causal Attention Learning. ACM Trans. Knowl. Discov. Data 18(5): 127:1-127:24 (2024) - [j193]Shengyu Zhang, Ziqi Jiang, Jiangchao Yao, Fuli Feng, Kun Kuang, Zhou Zhao, Shuo Li, Hongxia Yang, Tat-Seng Chua, Fei Wu:
Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems. IEEE Trans. Knowl. Data Eng. 36(2): 459-474 (2024) - [j192]Yinwei Wei, Xiaoyang Qu, Xiang Wang, Yunshan Ma, Liqiang Nie, Tat-Seng Chua:
Rule-Guided Counterfactual Explainable Recommendation. IEEE Trans. Knowl. Data Eng. 36(5): 2179-2190 (2024) - [j191]Xun Deng, Fuli Feng, Xiang Wang, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Learning to Double-Check Model Prediction From a Causal Perspective. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5054-5063 (2024) - [j190]Wenjie Wang, Xinyu Lin, Liuhui Wang, Fuli Feng, Yunshan Ma, Tat-Seng Chua:
Causal Disentangled Recommendation against User Preference Shifts. ACM Trans. Inf. Syst. 42(1): 12:1-12:27 (2024) - [j189]Shengyu Zhang, Tan Jiang, Kun Kuang, Fuli Feng, Jin Yu, Jianxin Ma, Zhou Zhao, Jianke Zhu, Hongxia Yang, Tat-Seng Chua, Fei Wu:
SLED: Structure Learning based Denoising for Recommendation. ACM Trans. Inf. Syst. 42(2): 43:1-43:31 (2024) - [j188]Han Liu, Yinwei Wei, Fan Liu, Wenjie Wang, Liqiang Nie, Tat-Seng Chua:
Dynamic Multimodal Fusion via Meta-Learning Towards Micro-Video Recommendation. ACM Trans. Inf. Syst. 42(2): 47:1-47:26 (2024) - [j187]An Zhang, Wenchang Ma, Jingnan Zheng, Xiang Wang, Tat-Seng Chua:
Robust Collaborative Filtering to Popularity Distribution Shift. ACM Trans. Inf. Syst. 42(3): 80:1-80:25 (2024) - [j186]Yunshan Ma, Yingzhi He, Xiang Wang, Yinwei Wei, Xiaoyu Du, Yuyangzi Fu, Tat-Seng Chua:
MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation. ACM Trans. Inf. Syst. 42(4): 100:1-100:23 (2024) - [j185]Jun Li, Yi Bin, Yunshan Ma, Yang Yang, Zi Huang, Tat-Seng Chua:
Filter-based Stance Network for Rumor Verification. ACM Trans. Inf. Syst. 42(4): 108:1-108:28 (2024) - 2023
- [j184]Xuanmeng Zhang, Zhedong Zheng, Daiheng Gao, Bang Zhang, Yi Yang, Tat-Seng Chua:
Multi-view Consistent Generative Adversarial Networks for Compositional 3D-Aware Image Synthesis. Int. J. Comput. Vis. 131(8): 2219-2242 (2023) - [j183]Xiang Wang, Yingxin Wu, An Zhang, Fuli Feng, Xiangnan He, Tat-Seng Chua:
Reinforced Causal Explainer for Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2297-2309 (2023) - [j182]Shengyu Zhang, Fuli Feng, Kun Kuang, Wenqiao Zhang, Zhou Zhao, Hongxia Yang, Tat-Seng Chua, Fei Wu:
Personalized Latent Structure Learning for Recommendation. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10285-10299 (2023) - [j181]Juncheng Li, Siliang Tang, Linchao Zhu, Wenqiao Zhang, Yi Yang, Tat-Seng Chua, Fei Wu, Yueting Zhuang:
Variational Cross-Graph Reasoning and Adaptive Structured Semantics Learning for Compositional Temporal Grounding. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12601-12617 (2023) - [j180]Junbin Xiao, Pan Zhou, Angela Yao, Yicong Li, Richang Hong, Shuicheng Yan, Tat-Seng Chua:
Contrastive Video Question Answering via Video Graph Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13265-13280 (2023) - [j179]Hady W. Lauw, Tat-Seng Chua, Luo Si, Evimaria Terzi, Panayiotis Tsaparas, Andrew Tomkins:
Report on the 16th ACM International Conference on Web Search and Data Mining (WSDM 2023). SIGIR Forum 57(1): 8:1-8:5 (2023) - [j178]Tat-Seng Chua:
Towards Generative Search and Recommendation: A keynote at RecSys 2023. SIGIR Forum 57(2): 5:1-5:14 (2023) - [j177]Hady W. Lauw, Tat-Seng Chua, Luo Si, Evimaria Terzi, Panayiotis Tsaparas, Andrew Tomkins:
ACM WSDM 2023 Report. SIGWEB Newsl. 2023(Spring): 1:1-1:6 (2023) - [j176]Fuli Feng, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Cross-GCN: Enhancing Graph Convolutional Network with $k$k-Order Feature Interactions. IEEE Trans. Knowl. Data Eng. 35(1): 225-236 (2023) - [j175]Yixin Cao, Jun Kuang, Ming Gao, Aoying Zhou, Yonggang Wen, Tat-Seng Chua:
Learning Relation Prototype From Unlabeled Texts for Long-Tail Relation Extraction. IEEE Trans. Knowl. Data Eng. 35(2): 1761-1774 (2023) - [j174]Yinwei Wei, Xiang Wang, Liqiang Nie, Shaoyu Li, Dingxian Wang, Tat-Seng Chua:
Causal Inference for Knowledge Graph Based Recommendation. IEEE Trans. Knowl. Data Eng. 35(11): 11153-11164 (2023) - [j173]Yuxia Wu, Lizi Liao, Gangyi Zhang, Wenqiang Lei, Guoshuai Zhao, Xueming Qian, Tat-Seng Chua:
State Graph Reasoning for Multimodal Conversational Recommendation. IEEE Trans. Multim. 25: 3113-3124 (2023) - [j172]Zhulin Tao, Xiaohao Liu, Yewei Xia, Xiang Wang, Lifang Yang, Xianglin Huang, Tat-Seng Chua:
Self-Supervised Learning for Multimedia Recommendation. IEEE Trans. Multim. 25: 5107-5116 (2023) - [j171]Hongyu Lu, Weizhi Ma, Yifan Wang, Min Zhang, Xiang Wang, Yiqun Liu, Tat-Seng Chua, Shaoping Ma:
User Perception of Recommendation Explanation: Are Your Explanations What Users Need? ACM Trans. Inf. Syst. 41(2): 48:1-48:31 (2023) - [j170]Hao Fei, Tat-Seng Chua, Chenliang Li, Donghong Ji, Meishan Zhang, Yafeng Ren:
On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training. ACM Trans. Inf. Syst. 41(2): 50:1-50:32 (2023) - [j169]Yang Deng, Wenxuan Zhang, Weiwen Xu, Wenqiang Lei, Tat-Seng Chua, Wai Lam:
A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems. ACM Trans. Inf. Syst. 41(3): 77:1-77:25 (2023) - 2022
- [j168]Qianru Sun, Yaoyao Liu, Zhaozheng Chen, Tat-Seng Chua, Bernt Schiele:
Meta-Transfer Learning Through Hard Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1443-1456 (2022) - [j167]Sicheng Zhao, Xingxu Yao, Jufeng Yang, Guoli Jia, Guiguang Ding, Tat-Seng Chua, Björn W. Schuller, Kurt Keutzer:
Affective Image Content Analysis: Two Decades Review and New Perspectives. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6729-6751 (2022) - [j166]Yi Bin, Yujuan Ding, Bo Peng, Liang Peng, Yang Yang, Tat-Seng Chua:
Entity Slot Filling for Visual Captioning. IEEE Trans. Circuits Syst. Video Technol. 32(1): 52-62 (2022) - [j165]Xun Yang, Shanshan Wang, Jian Dong, Jianfeng Dong, Meng Wang, Tat-Seng Chua:
Video Moment Retrieval With Cross-Modal Neural Architecture Search. IEEE Trans. Image Process. 31: 1204-1216 (2022) - [j164]Guanghao Yin, Wei Wang, Zehuan Yuan, Wei Ji, Dongdong Yu, Shouqian Sun, Tat-Seng Chua, Changhu Wang:
Conditional Hyper-Network for Blind Super-Resolution With Multiple Degradations. IEEE Trans. Image Process. 31: 3949-3960 (2022) - [j163]Lizi Liao, Ryuichi Takanobu, Yunshan Ma, Xun Yang, Minlie Huang, Tat-Seng Chua:
Topic-Guided Conversational Recommender in Multiple Domains. IEEE Trans. Knowl. Data Eng. 34(5): 2485-2496 (2022) - [j162]Kaili Mao, Jianwei Niu, Xuefeng Liu, Shaojie Tang, Lizi Liao, Tat-Seng Chua:
A Patience-Aware Recommendation Scheme for Shared Accounts on Mobile Devices. IEEE Trans. Knowl. Data Eng. 34(12): 5571-5585 (2022) - [j161]Lixi Deng, Jingjing Chen, Chong-Wah Ngo, Qianru Sun, Sheng Tang, Yongdong Zhang, Tat-Seng Chua:
Mixed Dish Recognition With Contextual Relation and Domain Alignment. IEEE Trans. Multim. 24: 2034-2045 (2022) - [j160]Yujuan Ding, Yunshan Ma, Lizi Liao, Wai Keung Wong, Tat-Seng Chua:
Leveraging Multiple Relations for Fashion Trend Forecasting Based on Social Media. IEEE Trans. Multim. 24: 2287-2299 (2022) - [j159]Yujuan Ding, Yunshan Ma, Wai Keung Wong, Tat-Seng Chua:
Modeling Instant User Intent and Content-Level Transition for Sequential Fashion Recommendation. IEEE Trans. Multim. 24: 2687-2700 (2022) - [j158]Yinwei Wei, Xiang Wang, Xiangnan He, Liqiang Nie, Yong Rui, Tat-Seng Chua:
Hierarchical User Intent Graph Network for Multimedia Recommendation. IEEE Trans. Multim. 24: 2701-2712 (2022) - [j157]Xiangnan He, Zhaochun Ren, Emine Yilmaz, Marc Najork, Tat-Seng Chua:
Graph Technologies for User Modeling and Recommendation: Introduction to the Special Issue - Part 1. ACM Trans. Inf. Syst. 40(2): 21:1-21:5 (2022) - [j156]Xiangnan He, Zhaochun Ren, Emine Yilmaz, Marc Najork, Tat-Seng Chua:
Introduction to the Special Section on Graph Technologies for User Modeling and Recommendation, Part 2. ACM Trans. Inf. Syst. 40(3): 42:1-42:5 (2022) - 2021
- [j155]Chongming Gao, Wenqiang Lei, Xiangnan He, Maarten de Rijke, Tat-Seng Chua:
Advances and challenges in conversational recommender systems: A survey. AI Open 2: 100-126 (2021) - [j154]Qianwen Cao, Heyan Huang, Xindi Shang, Boran Wang, Tat-Seng Chua:
3-D Relation Network for visual relation recognition in videos. Neurocomputing 432: 91-100 (2021) - [j153]Lizi Liao, Le Hong Long, Yunshan Ma, Wenqiang Lei, Tat-Seng Chua:
Dialogue State Tracking with Incremental Reasoning. Trans. Assoc. Comput. Linguistics 9: 557-569 (2021) - [j152]Jingjing Chen, Bin Zhu, Chong-Wah Ngo, Tat-Seng Chua, Yu-Gang Jiang:
A Study of Multi-Task and Region-Wise Deep Learning for Food Ingredient Recognition. IEEE Trans. Image Process. 30: 1514-1526 (2021) - [j151]Fuli Feng, Xiangnan He, Jie Tang, Tat-Seng Chua:
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure. IEEE Trans. Knowl. Data Eng. 33(6): 2493-2504 (2021) - [j150]Chen Gao, Xiangnan He, Dahua Gan, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua, Lina Yao, Yang Song, Depeng Jin:
Learning to Recommend With Multiple Cascading Behaviors. IEEE Trans. Knowl. Data Eng. 33(6): 2588-2601 (2021) - [j149]Liangming Pan, Jingjing Chen, Shaoteng Liu, Chong-Wah Ngo, Min-Yen Kan, Tat-Seng Chua:
A Hybrid Approach for Detecting Prerequisite Relations in Multi-Modal Food Recipes. IEEE Trans. Multim. 23: 4491-4501 (2021) - [j148]Yaoyao Liu, Qianru Sun, Xiangnan He, An-An Liu, Yuting Su, Tat-Seng Chua:
Generating Face Images With Attributes for Free. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2733-2743 (2021) - [j147]Shijun Li, Wenqiang Lei, Qingyun Wu, Xiangnan He, Peng Jiang, Tat-Seng Chua:
Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-start Users. ACM Trans. Inf. Syst. 39(4): 40:1-40:29 (2021) - 2020
- [j146]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) - [j145]Zhulin Tao, Yinwei Wei, Xiang Wang, Xiangnan He, Xianglin Huang, Tat-Seng Chua:
MGAT: Multimodal Graph Attention Network for Recommendation. Inf. Process. Manag. 57(5): 102277 (2020) - [j144]Zhulin Tao, Xiang Wang, Xiangnan He, Xianglin Huang, Tat-Seng Chua:
HoAFM: A High-order Attentive Factorization Machine for CTR Prediction. Inf. Process. Manag. 57(6): 102076 (2020) - [j143]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) - [j142]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) - [j141]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. Multim. 22(6): 1647-1659 (2020) - [j140]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) - [j139]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) - 2019
- [j138]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) - [j137]Wenlong Xie, Hongxun Yao, Xiaoshuai Sun, Tingting Han, Sicheng Zhao, Tat-Seng Chua:
Discovering Latent Discriminative Patterns for Multi-Mode Event Representation. IEEE Trans. Multim. 21(6): 1425-1436 (2019) - [j136]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) - [j135]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) - [j134]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) - [j133]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) - 2018
- [j132]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) - [j131]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) - [j130]Lizi Liao, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Attributed Social Network Embedding. IEEE Trans. Knowl. Data Eng. 30(12): 2257-2270 (2018) - [j129]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) - 2017
- [j128]Guangda Li, Tat-Seng Chua:
Startup Takes On Growing Demand for Visual Search Technology. IEEE Multim. 24(1): 17-19 (2017) - [j127]Da Cao, Liqiang Nie, Xiangnan He, Xiaochi Wei, Jialie Shen, Shunxiang Wu, Tat-Seng Chua:
Version-sensitive mobile App recommendation. Inf. Sci. 381: 161-175 (2017) - [j126]Liqiang Nie, Luming Zhang, Meng Wang, Richang Hong, Aleksandr Farseev, Tat-Seng Chua:
Learning User Attributes via Mobile Social Multimedia Analytics. ACM Trans. Intell. Syst. Technol. 8(3): 36:1-36:19 (2017) - [j125]Han Hu, Yonggang Wen, Tat-Seng Chua, Xuelong Li:
Cost-Optimized Microblog Distribution over Geo-Distributed Data Centers: Insights from Cross-Media Analysis. ACM Trans. Intell. Syst. Technol. 8(3): 40:1-40:18 (2017) - [j124]Xiaochi Wei, Heyan Huang, Liqiang Nie, Hanwang Zhang, Xianling Mao, Tat-Seng Chua:
I Know What You Want to Express: Sentence Element Inference by Incorporating External Knowledge Base. IEEE Trans. Knowl. Data Eng. 29(2): 344-358 (2017) - [j123]Huijie Lin, Jia Jia, Jiezhong Qiu, Yongfeng Zhang, Guangyao Shen, Lexing Xie, Jie Tang, Ling Feng, Tat-Seng Chua:
Detecting Stress Based on Social Interactions in Social Networks. IEEE Trans. Knowl. Data Eng. 29(9): 1820-1833 (2017) - [j122]Mohammad Akbari, Xia Hu, Fei Wang, Tat-Seng Chua:
Wellness Representation of Users in Social Media: Towards Joint Modelling of Heterogeneity and Temporality. IEEE Trans. Knowl. Data Eng. 29(10): 2360-2373 (2017) - [j121]Zawlin Kyaw, Shuhan Qi, Ke Gao, Hanwang Zhang, Luming Zhang, Jun Xiao, Xuan Wang, Tat-Seng Chua:
Matryoshka Peek: Toward Learning Fine-Grained, Robust, Discriminative Features for Product Search. IEEE Trans. Multim. 19(6): 1272-1284 (2017) - [j120]Na Zhao, Hanwang Zhang, Richang Hong, Meng Wang, Tat-Seng Chua:
VideoWhisper: Toward Discriminative Unsupervised Video Feature Learning With Attention-Based Recurrent Neural Networks. IEEE Trans. Multim. 19(9): 2080-2092 (2017) - [j119]Dongxiang Zhang, Liqiang Nie, Huanbo Luan, Kian-Lee Tan, Tat-Seng Chua, Heng Tao Shen:
Compact Indexing and Judicious Searching for Billion-Scale Microblog Retrieval. ACM Trans. Inf. Syst. 35(3): 27:1-27:24 (2017) - [j118]Da Cao, Xiangnan He, Liqiang Nie, Xiaochi Wei, Xia Hu, Shunxiang Wu, Tat-Seng Chua:
Cross-Platform App Recommendation by Jointly Modeling Ratings and Texts. ACM Trans. Inf. Syst. 35(4): 37:1-37:27 (2017) - [j117]Aleksandr Farseev, Tat-Seng Chua:
Tweet Can Be Fit: Integrating Data from Wearable Sensors and Multiple Social Networks for Wellness Profile Learning. ACM Trans. Inf. Syst. 35(4): 42:1-42:34 (2017) - [j116]Xiang Wang, Liqiang Nie, Xuemeng Song, Dongxiang Zhang, Tat-Seng Chua:
Unifying Virtual and Physical Worlds: Learning Toward Local and Global Consistency. ACM Trans. Inf. Syst. 36(1): 4:1-4:26 (2017) - 2016
- [j115]Erik Cambria, Newton Howard, Yunqing Xia, Tat-Seng Chua:
Computational Intelligence for Big Social Data Analysis [Guest Editorial]. IEEE Comput. Intell. Mag. 11(3): 8-9 (2016) - [j114]Mohammad Akbari, Xia Hu, Liqiang Nie, Tat-Seng Chua:
Towards organizing health knowledge on community-based health services. EURASIP J. Bioinform. Syst. Biol. 2016: 18 (2016) - [j113]Peng Cui, Wenwu Zhu, Tat-Seng Chua, Ramesh C. Jain:
Social-Sensed Multimedia Computing. IEEE Multim. 23(1): 92-96 (2016) - [j112]Na Zhao, Hanwang Zhang, Meng Wang, Richang Hong, Tat-Seng Chua:
Learning content-social influential features for influence analysis. Int. J. Multim. Inf. Retr. 5(3): 137-149 (2016) - [j111]Jialie Shen, Meng Wang, Tat-Seng Chua:
Accurate online video tagging via probabilistic hybrid modeling. Multim. Syst. 22(1): 99-113 (2016) - [j110]Zhaoyan Ming, Tat-Seng Chua:
Resolving local cuisines for tourists with multi-source social media contents. Multim. Syst. 22(4): 443-453 (2016) - [j109]Tat-Seng Chua, Xiangjian He, Weifeng Liu, Massimo Piccardi, Yonggang Wen, Dacheng Tao:
Big data meets multimedia analytics. Signal Process. 124: 1-4 (2016) - [j108]Aleksandr Farseev, Mohammad Akbari, Ivan Samborskii, Tat-Seng Chua:
"360° user profiling: past, future, and applications" by Aleksandr Farseev, Mohammad Akbari, Ivan Samborskii and Tat-Seng Chua with Martin Vesely as coordinator. SIGWEB Newsl. 2016(Summer): 4:1-4:11 (2016) - [j107]Han Hu, Yonggang Wen, Tat-Seng Chua, Jian Huang, Wenwu Zhu, Xuelong Li:
Joint Content Replication and Request Routing for Social Video Distribution Over Cloud CDN: A Community Clustering Method. IEEE Trans. Circuits Syst. Video Technol. 26(7): 1320-1333 (2016) - [j106]Xishan Zhang, Hanwang Zhang, Yongdong Zhang, Yang Yang, Meng Wang, Huan-Bo Luan, Jintao Li, Tat-Seng Chua:
Deep Fusion of Multiple Semantic Cues for Complex Event Recognition. IEEE Trans. Image Process. 25(3): 1033-1046 (2016) - [j105]Jintao Ye, Zhaoyan Ming, Tat-Seng Chua:
Generating Incremental Length Summary Based on Hierarchical Topic Coverage Maximization. ACM Trans. Intell. Syst. Technol. 7(3): 29:1-29:33 (2016) - [j104]Weinan Zhang, Zhaoyan Ming, Yu Zhang, Ting Liu, Tat-Seng Chua:
Capturing the Semantics of Key Phrases Using Multiple Languages for Question Retrieval. IEEE Trans. Knowl. Data Eng. 28(4): 888-900 (2016) - [j103]Yue Gao, Yi Zhen, Haojie Li, Tat-Seng Chua:
Filtering of Brand-Related Microblogs Using Social-Smooth Multiview Embedding. IEEE Trans. Multim. 18(10): 2115-2126 (2016) - [j102]Xuemeng Song, Zhaoyan Ming, Liqiang Nie, Yi-Liang Zhao, Tat-Seng Chua:
Volunteerism Tendency Prediction via Harvesting Multiple Social Networks. ACM Trans. Inf. Syst. 34(2): 10:1-10:27 (2016) - [j101]Hanwang Zhang, Xindi Shang, Huan-Bo Luan, Meng Wang, Tat-Seng Chua:
Learning from Collective Intelligence: Feature Learning Using Social Images and Tags. ACM Trans. Multim. Comput. Commun. Appl. 13(1): 1:1-1:23 (2016) - 2015
- [j100]Mohammad Akbari, Liqiang Nie, Tat-Seng Chua:
aMM: Towards adaptive ranking of multi-modal documents. Int. J. Multim. Inf. Retr. 4(4): 233-245 (2015) - [j99]Zhaoyan Ming, Tat-Seng Chua:
Resolving polysemy and pseudonymity in entity linking with comprehensive name and context modeling. Inf. Sci. 307: 18-38 (2015) - [j98]Han Hu,