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A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation


Apr 27, 2021
Le Wu, Xiangnan He, Xiang Wang, Kun Zhang, Meng Wang

* In submission 

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A-FMI: Learning Attributions from Deep Networks via Feature Map Importance


Apr 12, 2021
An Zhang, Xiang Wang, Chengfang Fang, Jie Shi, Tat-seng Chua, Zehua Chen


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Self-Supervised Learning for Semi-Supervised Temporal Action Proposal


Apr 07, 2021
Xiang Wang, Shiwei Zhang, Zhiwu Qing, Yuanjie Shao, Changxin Gao, Nong Sang

* Accepted by CVPR-2021 

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Temporal Context Aggregation Network for Temporal Action Proposal Refinement


Mar 24, 2021
Zhiwu Qing, Haisheng Su, Weihao Gan, Dongliang Wang, Wei Wu, Xiang Wang, Yu Qiao, Junjie Yan, Changxin Gao, Nong Sang

* Accepted by CVPR2021 

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A Local Similarity-Preserving Framework for Nonlinear Dimensionality Reduction with Neural Networks


Mar 10, 2021
Xiang Wang, Xiaoyong Li, Junxing Zhu, Zichen Xu, Kaijun Ren, Weiming Zhang, Xinwang Liu, Kui Yu

* Vec2vec, Dasfaa 2021, 16 pages 

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Learning Intents behind Interactions with Knowledge Graph for Recommendation


Feb 14, 2021
Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He, Tat-Seng Chua

* WWW 2021 oral presentation 

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Beyond Lazy Training for Over-parameterized Tensor Decomposition


Oct 22, 2020
Xiang Wang, Chenwei Wu, Jason D. Lee, Tengyu Ma, Rong Ge

* NeurIPS 2020; the first two authors contribute equally 

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Self-supervised Graph Learning for Recommendation


Oct 21, 2020
Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie

* 11 pages, 7 pages, 5 tables 

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Multi-Level Temporal Pyramid Network for Action Detection


Aug 07, 2020
Xiang Wang, Changxin Gao, Shiwei Zhang, Nong Sang

* Accepted by PRCV2020 

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Disentangled Graph Collaborative Filtering


Jul 03, 2020
Xiang Wang, Hongye Jin, An Zhang, Xiangnan He, Tong Xu, Tat-Seng Chua

* SIGIR 2020 

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Guarantees for Tuning the Step Size using a Learning-to-Learn Approach


Jun 30, 2020
Xiang Wang, Shuai Yuan, Chenwei Wu, Rong Ge


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CBR-Net: Cascade Boundary Refinement Network for Action Detection: Submission to ActivityNet Challenge 2020 (Task 1)


Jun 24, 2020
Xiang Wang, Baiteng Ma, Zhiwu Qing, Yongpeng Sang, Changxin Gao, Shiwei Zhang, Nong Sang

* ActivityNet Challenge 2020 Temporal Action Localization (Task 1) Champion Solution (Rank 1) 

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Temporal Fusion Network for Temporal Action Localization:Submission to ActivityNet Challenge 2020 (Task E)


Jun 13, 2020
Zhiwu Qing, Xiang Wang, Yongpeng Sang, Changxin Gao, Shiwei Zhang, Nong Sang

* To appear on CVPR 2020 HACS Workshop (Rank 1st) 

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Visual Perception Model for Rapid and Adaptive Low-light Image Enhancement


May 15, 2020
Xiaoxiao Li, Xiaopeng Guo, Liye Mei, Mingyu Shang, Jie Gao, Maojing Shu, Xiang Wang

* Due to the limitation "The abstract field cannot be longer than 1,920 characters", the abstract here is shorter than that in the PDF file 

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XTDrone: A Customizable Multi-Rotor UAVs Simulation Platform


Mar 26, 2020
Kun Xiao, Shaochang Tan, Guohui Wang, Xueyan An, Xiang Wang, Xiangke Wang

* 8 pages, 15 figures.For the source code see https://github.com/robin-shaun/XTDrone 

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Reinforced Negative Sampling over Knowledge Graph for Recommendation


Mar 12, 2020
Xiang Wang, Yaokun Xu, Xiangnan He, Yixin Cao, Meng Wang, Tat-Seng Chua

* WWW 2020 oral presentation 

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Bilinear Graph Neural Network with Node Interactions


Feb 20, 2020
Hongmin Zhu, Fuli Feng, Xiangnan He, Xiang Wang, Yan Li, Kai Zheng, Yongdong Zhang


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Weakly-Supervised Semantic Segmentation by Iterative Affinity Learning


Feb 19, 2020
Xiang Wang, Sifei Liu, Huimin Ma, Ming-Hsuan Yang

* IJCV 2020 

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LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation


Feb 06, 2020
Xiangnan He, Kuan Deng, Xiang Wang, Yan Li, Yongdong Zhang, Meng Wang


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Graph Convolution Machine for Context-aware Recommender System


Jan 30, 2020
Jiancan Wu, Xiangnan He, Xiang Wang, Qifan Wang, Weijian Chen, Jianxun Lian, Xing Xie, Yongdong Zhang


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Multiple Sample Clustering


Oct 24, 2019
Xiang Wang, Tie Liu

* 17 pages, 11 figures 

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Quantum-enhanced least-square support vector machine: simplified quantum algorithm and sparse solutions


Aug 05, 2019
Jie Lin, Dan-Bo Zhang, Shuo Zhang, Xiang Wang, Tan Li, Wan-su Bao

* 9 pages and 0 figures 

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Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets


Jun 14, 2019
Rohith Kuditipudi, Xiang Wang, Holden Lee, Yi Zhang, Zhiyuan Li, Wei Hu, Sanjeev Arora, Rong Ge


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Neural Graph Collaborative Filtering


May 20, 2019
Xiang Wang, Xiangnan He, Meng Wang, Fuli Feng, Tat-Seng Chua

* SIGIR 2019 

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KGAT: Knowledge Graph Attention Network for Recommendation


May 20, 2019
Xiang Wang, Xiangnan He, Yixin Cao, Meng Liu, Tat-Seng Chua

* KDD 2019 research track 

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Stabilized SVRG: Simple Variance Reduction for Nonconvex Optimization


May 01, 2019
Rong Ge, Zhize Li, Weiyao Wang, Xiang Wang


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A Survey on Face Data Augmentation


Apr 26, 2019
Xiang Wang, Kai Wang, Shiguo Lian

* 26 pages, 22 figures 

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A Unified Framework for Mutual Improvement of SLAM and Semantic Segmentation


Dec 25, 2018
Kai Wang, Yimin Lin, Luowei Wang, Liming Han, Minjie Hua, Xiang Wang, Shiguo Lian, Bill Huang

* 7 pages, 5 figures 

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