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2020 – today
- 2022
[j163]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)- [j162]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) - [j161]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) - [j160]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) - [j159]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) - [j158]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) - [j157]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) - [j156]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) - [j155]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) - [c414]Moxin Li, Fuli Feng, Hanwang Zhang, Xiangnan He, Fengbin Zhu, Tat-Seng Chua:
Learning to Imagine: Integrating Counterfactual Thinking in Neural Discrete Reasoning. ACL (1) 2022: 57-69 - [c413]Shengyu Zhang, Lingxiao Yang, Dong Yao, Yujie Lu, Fuli Feng, Zhou Zhao, Tat-Seng Chua, Fei Wu:
Re4: Learning to Re-contrast, Re-attend, Re-construct for Multi-interest Recommendation. WWW 2022: 2216-2226 - [c412]Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, Min Lin, Tat-Seng Chua:
Causal Representation Learning for Out-of-Distribution Recommendation. WWW 2022: 3562-3571 - [i114]Zhiyuan Liu, Yixin Cao, Fuli Feng, Xiang Wang, Xindi Shang, Jie Tang, Kenji Kawaguchi, Tat-Seng Chua:
Training Free Graph Neural Networks for Graph Matching. CoRR abs/2201.05349 (2022) - [i113]Yuting Yang, Wenqiang Lei, Juan Cao, Jintao Li, Tat-Seng Chua:
Prompt Learning for Few-Shot Dialogue State Tracking. CoRR abs/2201.05780 (2022) - [i112]Ying-Xin Wu, Xiang Wang, An Zhang, Xia Hu, Fuli Feng, Xiangnan He, Tat-Seng Chua:
Deconfounding to Explanation Evaluation in Graph Neural Networks. CoRR abs/2201.08802 (2022) - [i111]Ying-Xin Wu, Xiang Wang, An Zhang, Xiangnan He, Tat-Seng Chua:
Discovering Invariant Rationales for Graph Neural Networks. CoRR abs/2201.12872 (2022) - [i110]Chongming Gao, Shijun Li, Wenqiang Lei, Biao Li, Peng Jiang, Jiawei Chen, Xiangnan He, Jiaxin Mao, Tat-Seng Chua:
KuaiRec: A Fully-observed Dataset for Recommender Systems. CoRR abs/2202.10842 (2022) - [i109]Yaoyao Zhong, Wei Ji, Junbin Xiao, Yicong Li, Weihong Deng, Tat-Seng Chua:
Video Question Answering: Datasets, Algorithms and Challenges. CoRR abs/2203.01225 (2022) - [i108]Ao Zhang, Yuan Yao, Qianyu Chen, Wei Ji, Zhiyuan Liu, Maosong Sun, Tat-Seng Chua:
Fine-Grained Scene Graph Generation with Data Transfer. CoRR abs/2203.11654 (2022) - [i107]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. CoRR abs/2204.06923 (2022) - [i106]Wenqiang Lei, Yao Zhang, Feifan Song, Hongru Liang, Jiaxin Mao, Jiancheng Lv, Zhenglu Yang, Tat-Seng Chua:
Interacting with Non-Cooperative User: A New Paradigm for Proactive Dialogue Policy. CoRR abs/2204.07433 (2022) - [i105]Tingyu Wang, Zhedong Zheng, Yaoqi Sun, Tat-Seng Chua, Yi Yang, Chenggang Yan:
Multiple-environment Self-adaptive Network for Aerial-view Geo-localization. CoRR abs/2204.08381 (2022) - [i104]Xiang Wang, Ying-Xin Wu, An Zhang, Fuli Feng, Xiangnan He, Tat-Seng Chua:
Reinforced Causal Explainer for Graph Neural Networks. CoRR abs/2204.11028 (2022) - [i103]Zhedong Zheng, Jiayin Zhu, Wei Ji, Yi Yang, Tat-Seng Chua:
3D Magic Mirror: Clothing Reconstruction from a Single Image via a Causal Perspective. CoRR abs/2204.13096 (2022) - [i102]Wenjie Wang, Fuli Feng, Liqiang Nie, Tat-Seng Chua:
User-controllable Recommendation Against Filter Bubbles. CoRR abs/2204.13844 (2022) - 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) - [c411]Wenqiang Lei, Yisong Miao, Runpeng Xie, Bonnie Webber, Meichun Liu, Tat-Seng Chua, Nancy F. Chen:
Have We Solved The Hard Problem? It's Not Easy! Contextual Lexical Contrast as a Means to Probe Neural Coherence. AAAI 2021: 13208-13216 - [c410]Chen Qian, Fuli Feng, Lijie Wen, Tat-Seng Chua:
Conceptualized and Contextualized Gaussian Embedding. AAAI 2021: 13683-13691 - [c409]Fuli Feng, Jizhi Zhang, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Empowering Language Understanding with Counterfactual Reasoning. ACL/IJCNLP (Findings) 2021: 2226-2236 - [c408]Fengbin Zhu, Wenqiang Lei, Youcheng Huang, Chao Wang, Shuo Zhang, Jiancheng Lv, Fuli Feng, Tat-Seng Chua:
TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance. ACL/IJCNLP (1) 2021: 3277-3287 - [c407]Zikun Hu, Yixin Cao, Lifu Huang, Tat-Seng Chua:
How Knowledge Graph and Attention Help? A Qualitative Analysis into Bag-level Relation Extraction. ACL/IJCNLP (1) 2021: 4662-4671 - [c406]Na Zhao, Tat-Seng Chua, Gim Hee Lee:
Few-Shot 3D Point Cloud Semantic Segmentation. CVPR 2021: 8873-8882 - [c405]Junbin Xiao, Xindi Shang, Angela Yao, Tat-Seng Chua:
NExT-QA: Next Phase of Question-Answering to Explaining Temporal Actions. CVPR 2021: 9777-9786 - [c404]Fuli Feng, Xilin Rui, Wenjie Wang, Yixin Cao, Tat-Seng Chua:
Pre-training and evaluation of numeracy-oriented language model. ICAIF 2021: 47:1-47:8 - [c403]Fuli Feng, Xiang Wang, Xiangnan He, Ritchie Ng, Tat-Seng Chua:
Time horizon-aware modeling of financial texts for stock price prediction. ICAIF 2021: 51:1-51:8 - [c402]Wenjie Wang, Fuli Feng, Xiangnan He, Xiang Wang, Tat-Seng Chua:
Deconfounded Recommendation for Alleviating Bias Amplification. KDD 2021: 1717-1725 - [c401]Yujuan Ding, Yunshan Ma, Wai Keung Wong, Tat-Seng Chua:
Leveraging Two Types of Global Graph for Sequential Fashion Recommendation. ICMR 2021: 73-81 - [c400]Yunshan Ma, Yujuan Ding, Xun Yang, Lizi Liao, Wai Keung Wong, Tat-Seng Chua, Jinyoung Moon, Hong-Han Shuai:
Reproducibility Companion Paper: Knowledge Enhanced Neural Fashion Trend Forecasting. ICMR 2021: 615-618 - [c399]Yingxu He, Lizi Liao, Zheng Zhang, Tat-Seng Chua:
Towards Enriching Responses with Crowd-sourced Knowledge for Task-oriented Dialogue. MuCAI @ ACM Multimedia 2021: 3-11 - [c398]João Magalhães, Tat-Seng Chua, Tao Mei, Alan F. Smeaton:
The Next Generation Multimodal Conversational Search and Recommendation. ACM Multimedia 2021: 953-954 - [c397]Xindi Shang, Yicong Li, Junbin Xiao, Wei Ji, Tat-Seng Chua:
Video Visual Relation Detection via Iterative Inference. ACM Multimedia 2021: 3654-3663 - [c396]Jiahao Xun, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Qi Zhang, Jingjie Li, Xiuqiang He, Xiaofei He, Tat-Seng Chua, Fei Wu:
Why Do We Click: Visual Impression-aware News Recommendation. ACM Multimedia 2021: 3881-3890 - [c395]Yicong Li, Xun Yang, Xindi Shang, Tat-Seng Chua:
Interventional Video Relation Detection. ACM Multimedia 2021: 4091-4099 - [c394]Wei Ji, Yicong Li, Meng Wei, Xindi Shang, Junbin Xiao, Tongwei Ren, Tat-Seng Chua:
VidVRD 2021: The Third Grand Challenge on Video Relation Detection. ACM Multimedia 2021: 4779-4783 - [c393]Yi Bin, Xindi Shang, Bo Peng, Yujuan Ding, Tat-Seng Chua:
Multi-Perspective Video Captioning. ACM Multimedia 2021: 5110-5118 - [c392]Yinwei Wei, Xiang Wang, Qi Li, Liqiang Nie, Yan Li, Xuanping Li, Tat-Seng Chua:
Contrastive Learning for Cold-Start Recommendation. ACM Multimedia 2021: 5382-5390 - [c391]Stevan Rudinac, Alessandro Bozzon, Tat-Seng Chua, Suzanne Little, Daniel Gatica-Perez, Kiyoharu Aizawa:
UrbanMM'21: 1st International Workshop on Multimedia Computing for Urban Data. ACM Multimedia 2021: 5696-5697 - [c390]Zhenghao Liu, Xiaoyuan Yi, Maosong Sun, Liner Yang, Tat-Seng Chua:
Neural Quality Estimation with Multiple Hypotheses for Grammatical Error Correction. NAACL-HLT 2021: 5441-5452 - [c389]Xiang Wang, Ying-Xin Wu, An Zhang, Xiangnan He, Tat-Seng Chua:
Towards Multi-Grained Explainability for Graph Neural Networks. NeurIPS 2021: 18446-18458 - [c388]Xun Yang, Fuli Feng, Wei Ji, Meng Wang, Tat-Seng Chua:
Deconfounded Video Moment Retrieval with Causal Intervention. SIGIR 2021: 1-10 - [c387]Fuli Feng, Moxin Li, Cheng Luo, Ritchie Ng, Tat-Seng Chua:
Hybrid Learning to Rank for Financial Event Ranking. SIGIR 2021: 233-243 - [c386]Shengyu Zhang, Dong Yao, Zhou Zhao, Tat-Seng Chua, Fei Wu:
CauseRec: Counterfactual User Sequence Synthesis for Sequential Recommendation. SIGIR 2021: 367-377 - [c385]Lizi Liao, Le Hong Long, Zheng Zhang, Minlie Huang, Tat-Seng Chua:
MMConv: An Environment for Multimodal Conversational Search across Multiple Domains. SIGIR 2021: 675-684 - [c384]Fuli Feng, Weiran Huang, Xiangnan He, Xin Xin, Qifan Wang, Tat-Seng Chua:
Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method. SIGIR 2021: 1208-1218 - [c383]Wenjie Wang, Fuli Feng, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue. SIGIR 2021: 1288-1297 - [c382]Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie, Tat-Seng Chua:
Denoising Implicit Feedback for Recommendation. WSDM 2021: 373-381 - [c381]Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He, Tat-Seng Chua:
Learning Intents behind Interactions with Knowledge Graph for Recommendation. WWW 2021: 878-887 - [c380]Lizi Liao, Tongyao Zhu, Le Hong Long, Tat-Seng Chua:
Multi-domain Dialogue State Tracking with Recursive Inference. WWW 2021: 2568-2577 - [e13]Stevan Rudinac, Alessandro Bozzon, Tat-Seng Chua, Suzanne Little, Daniel Gatica-Perez, Kiyoharu Aizawa:
UrbanMM'21: Proceedings of the 1st International Workshop on Multimedia Computing for Urban Data, Virtual Event, China, 20 October 2021. ACM 2021, ISBN 978-1-4503-8669-2 [contents] - [e12]Tat-Seng Chua, Jingdong Wang, Qi Tian, Cathal Gurrin, Jia Jia, Hanwang Zhang, Qianru Sun:
MMAsia 2020: ACM Multimedia Asia, Virtual Event / Singapore, 7-9 March, 2021. ACM 2021, ISBN 978-1-4503-8308-0 [contents] - [i101]Fengbin Zhu, Wenqiang Lei, Chao Wang, Jianming Zheng, Soujanya Poria, Tat-Seng Chua:
Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering. CoRR abs/2101.00774 (2021) - [i100]Chongming Gao, Wenqiang Lei, Xiangnan He, Maarten de Rijke, Tat-Seng Chua:
Advances and Challenges in Conversational Recommender Systems: A Survey. CoRR abs/2101.09459 (2021) - [i99]Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He, Tat-Seng Chua:
Learning Intents behind Interactions with Knowledge Graph for Recommendation. CoRR abs/2102.07057 (2021) - [i98]An Zhang, Xiang Wang, Chengfang Fang, Jie Shi, Tat-Seng Chua, Zehua Chen:
A-FMI: Learning Attributions from Deep Networks via Feature Map Importance. CoRR abs/2104.05527 (2021) - [i97]Yujuan Ding, Yunshan Ma, Lizi Liao, Wai Keung Wong, Tat-Seng Chua:
Leveraging Multiple Relations for Fashion Trend Forecasting Based on Social Media. CoRR abs/2105.03299 (2021) - [i96]Zhenghao Liu, Xiaoyuan Yi, Maosong Sun, Liner Yang, Tat-Seng Chua:
Neural Quality Estimation with Multiple Hypotheses for Grammatical Error Correction. CoRR abs/2105.04443 (2021) - [i95]Yujuan Ding, Yunshan Ma, Wai Keung Wong, Tat-Seng Chua:
Leveraging Two Types of Global Graph for Sequential Fashion Recommendation. CoRR abs/2105.07585 (2021) - [i94]Fengbin Zhu, Wenqiang Lei, Youcheng Huang, Chao Wang, Shuo Zhang, Jiancheng Lv, Fuli Feng, Tat-Seng Chua:
TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance. CoRR abs/2105.07624 (2021) - [i93]Junbin Xiao, Xindi Shang, Angela Yao, Tat-Seng Chua:
NExT-QA: Next Phase of Question-Answering to Explaining Temporal Actions. CoRR abs/2105.08276 (2021) - [i92]Wenjie Wang, Fuli Feng, Xiangnan He, Xiang Wang, Tat-Seng Chua:
Deconfounded Recommendation for Alleviating Bias Amplification. CoRR abs/2105.10648 (2021) - [i91]Yunshan Ma, Yujuan Ding, Xun Yang, Lizi Liao, Wai Keung Wong, Tat-Seng Chua, Jinyoung Moon, Hong-Han Shuai:
Reproducibility Companion Paper: Knowledge Enhanced Neural Fashion Trend Forecasting. CoRR abs/2105.11826 (2021) - [i90]Xun Yang, Fuli Feng, Wei Ji, Meng Wang, Tat-Seng Chua:
Deconfounded Video Moment Retrieval with Causal Intervention. CoRR abs/2106.01534 (2021) - [i89]Fuli Feng, Jizhi Zhang, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Empowering Language Understanding with Counterfactual Reasoning. CoRR abs/2106.03046 (2021) - [i88]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. CoRR abs/2106.16125 (2021) - [i87]Yinwei Wei, Xiang Wang, Qi Li, Liqiang Nie, Yan Li, Xuanping Li, Tat-Seng Chua:
Contrastive Learning for Cold-Start Recommendation. CoRR abs/2107.05315 (2021) - [i86]Zikun Hu, Yixin Cao, Lifu Huang, Tat-Seng Chua:
How Knowledge Graph and Attention Help? A Quantitative Analysis into Bag-level Relation Extraction. CoRR abs/2107.12064 (2021) - [i85]Shengyu Zhang, Dong Yao, Zhou Zhao, Tat-Seng Chua, Fei Wu:
CauseRec: Counterfactual User Sequence Synthesis for Sequential Recommendation. CoRR abs/2109.05261 (2021) - [i84]Yuan Yao, Ao Zhang, Zhengyan Zhang, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun:
CPT: Colorful Prompt Tuning for Pre-trained Vision-Language Models. CoRR abs/2109.11797 (2021) - [i83]Jiahao Xun, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Qi Zhang, Jingjie Li, Xiuqiang He, Xiaofei He, Tat-Seng Chua, Fei Wu:
Why Do We Click: Visual Impression-aware News Recommendation. CoRR abs/2109.12651 (2021) - [i82]Yinwei Wei, Xiang Wang, Xiangnan He, Liqiang Nie, Yong Rui, Tat-Seng Chua:
Hierarchical User Intent Graph Network forMultimedia Recommendation. CoRR abs/2110.14925 (2021) - [i81]Yinwei Wei, Xiang Wang, Liqiang Nie, Xiangnan He, Tat-Seng Chua:
GRCN: Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback. CoRR abs/2111.02036 (2021) - [i80]Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie, Tat-Seng Chua:
Learning Robust Recommender from Noisy Implicit Feedback. CoRR abs/2112.01160 (2021) - [i79]Meng Wei, Long Chen, Wei Ji, Xiaoyu Yue, Tat-Seng Chua:
Rethinking the Two-Stage Framework for Grounded Situation Recognition. CoRR abs/2112.05375 (2021) - [i78]Junbin Xiao, Angela Yao, Zhiyuan Liu, Yicong Li, Wei Ji, Tat-Seng Chua:
Video as Conditional Graph Hierarchy for Multi-Granular Question Answering. CoRR abs/2112.06197 (2021) - [i77]Yongduo Sui, Xiang Wang, Jiancan Wu, Xiangnan He, Tat-Seng Chua:
Deconfounded Training for Graph Neural Networks. CoRR abs/2112.15089 (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) - [c379]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 - [c378]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 - [c377]Chuang Lin, Sicheng Zhao, Lei Meng, Tat-Seng Chua:
Multi-Source Domain Adaptation for Visual Sentiment Classification. AAAI 2020: 2661-2668 - [c376]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 - [c375]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 - [c374]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 - [c373]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 - [c372]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 - [c371]Liangming Pan, Yuxi Xie, Yansong Feng, Tat-Seng Chua, Min-Yen Kan:
Semantic Graphs for Generating Deep Questions. ACL 2020: 1463-1475 - [c370]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 - [c369]Na Zhao, Tat-Seng Chua, Gim Hee Lee:
SESS: Self-Ensembling Semi-Supervised 3D Object Detection. CVPR 2020: 11076-11084 - [c368]Junbin Xiao, Xindi Shang, Xun Yang, Sheng Tang, Tat-Seng Chua:
Visual Relation Grounding in Videos. ECCV (6) 2020: 447-464 - [c367]Zhiyuan Liu, Yixin Cao, Liangming Pan, Juanzi Li, Tat-Seng Chua:
Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment. EMNLP (1) 2020: 6355-6364 - [c366]Wenqiang Lei, Weixin Wang, Zhixin Ma, Tian Gan, Wei Lu, Min-Yen Kan, Tat-Seng Chua:
Re-examining the Role of Schema Linking in Text-to-SQL. EMNLP (1) 2020: 6943-6954 - [c365]Na Zhao, Tat-Seng Chua, Gim Hee Lee:
PS2-Net: A Locally and Globally Aware Network for Point-Based Semantic Segmentation. ICPR 2020: 723-730 - [c364]Zheng Zhang, Lizi Liao, Xiao-Dan Zhu, Tat-Seng Chua, Zitao Liu, Yan Huang, Minlie Huang:
Learning Goal-oriented Dialogue Policy with opposite Agent Awareness. AACL/IJCNLP 2020: 122-132 - [c363]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 - [c362]Yunshan Ma, Yujuan Ding, Xun Yang, Lizi Liao, Wai Keung Wong, Tat-Seng Chua:
Knowledge Enhanced Neural Fashion Trend Forecasting. ICMR 2020: 82-90 - [c361]Hongru Liang, Wenqiang Lei, Paul Yaozhu Chan, Zhenglu Yang, Maosong Sun, Tat-Seng Chua:
PiRhDy: Learning Pitch-, Rhythm-, and Dynamics-aware Embeddings for Symbolic Music. ACM Multimedia 2020: 574-582 - [c360]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. ACM Multimedia 2020: 1132-1141 - [c359]