he xiangnan ustc
Introduction In this work, we aim to simplify the design of GCN to make it more concise and appropriate for recommendation. Multiple relations may exist between two items and the same value may occur in relations of dierent types. Xiangnan He, Kuan Deng ,Xiang Wang, Yan Li, Yongdong Zhang, Meng Wang(2020). Articles Cited by. He Xiangnan hexiangnan. Xiangnan He received the Ph.D. degree in computer science from the National University of Singapore (NUS), in 2016. Contributors: Dr. Xiangnan He (staff.ustc.edu.cn/~hexn/), Kuan Deng, Yingxin Wu. ACM, New A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Xiangnan Xie Hong Zhu Half-Cr-doped YMnO3 single crystal films have been grown on YAlO3 substrates with various compressive strains by using magneto sputtering and ex-situ annealing process. GitHub profile guide. MM ’20, October 12–16, 2020, Seattle, WA, USA Da Cao, Yawen Zeng, Meng Liu, Xiangnan He, Meng Wang, and Zheng Qin Q St A lk t fi t d tk t tbl uery S en t ence: woman wa s o a re f r i gera t or an t a k es ou some vege t a bl es. << /Linearized 1 /L 1340490 /H [ 2885 753 ] /O 602 /E 396037 /N 29 /T 1336630 >> student at University of Science and Technology of China .. Advisor: Xiangnan HE (何向南). His research interests span information retrieval, data mining, and applied machine learning. How to Retrain Recommender System? Xiangnan He, Kuan Deng ,Xiang Wang, Yan Li, Yongdong Zhang, Meng Wang(2020). Sort by citations Sort by year Sort by title. 601 0 obj 1.2k Block or report user Block or report hexiangnan. Modeling Personalized Out-of-Town Distances in Location Recommendation Daizong Ding , Mi Zhangz, Xudong Pan , Min Yang , Xiangnan Hey School of Computer Science, Fudan University ySchool of Data Science, University of Science and Technology of China Emails: f17110240010, mi zhang, 18110240010, m yangg@fudan.edu.cn, xiangnanhe@gmail.com << /Type /XRef /Length 125 /Filter /FlateDecode /DecodeParms << /Columns 5 /Predictor 12 >> /W [ 1 3 1 ] /Index [ 598 308 ] /Info 123 0 R /Root 600 0 R /Size 906 /Prev 1336631 /ID [<8e7659e3aebedd141b60d6a4b2c361bf>] >> Research Fellow with School of Computing, National University of Singapore. Author: Prof. Xiangnan He (staff.ustc.edu.cn/~hexn/) (Also see Tensorflow implementation) Introduction. 506, TenforFlow Implementation of Neural Factorization Machine, Python 233-243. 603 0 obj Prof. Xiangnan He Dr. Jiawei Chen Dr. Yanbin Hao Dr. Xin Xin. << /Filter /FlateDecode /S 656 /O 792 /Length 665 >> 192 599 0 obj Research Fellow with School of Computing, National University of Singapore. 70, Using theano to implement the Matrix Factorization with BPR ranking loss, Python Min-Yen Kan (靳民彦) Associate Professor, National University of Singapore Verified email at comp.nus.edu.sg. This version of CS6101 is jointly run by WING@NUS and Lab of Data Science @ USTC, the latter one is led by our WING alumnus Xiangnan He. stream << /Annots [ 859 0 R 860 0 R 861 0 R 858 0 R ] /Contents 603 0 R /MediaBox [ 0 0 486 720 ] /Parent 753 0 R /Resources 864 0 R /Type /Page >> Learn more about reporting abuse. endobj Follow. Xiangnan He University of Science and Technology of China hexn@ustc.edu.cn Tat-Seng Chua National University of Singapore dcscts@nus.edu.sg ABSTRACT Recommendation methods construct predictive models to estimate the likelihood of a user-item interaction. NIPS ‘18 PDF@nips.cc endstream Jun Xu, Gaoling School of Artificial Intelligence, Renmin University of China, China, junxu@ruc.edu.cn Xiangnan He, School of Information Science and Technology, University of Science and Technology of China, China, hexn@ustc.edu.cn Hang Li, Bytedance AI Lab, China, lihang.lh@bytedance.com E-mail: cjwustc@ustc.edu.cn, donghd@mail.ustc.edu.cn and hexn@ustc.edu.cn. SIGIR’19, July 2019, Paris, France Xin Xin, Xiangnan He, Yongfeng Zhang, Yongdong Zhang, and Joemon Jose Figure 1: An example of multiple item relations. Previous models largely follow a general supervised learning paradigm — treating each hexn@ustc.edu.cn cjwustc@ustc.edu.cn haoyanbin@hotmail.com x.xin.1@research.gla.ac.uk Xiaoyu Du, Xiang Wang, Xiangnan He, Zechao Li, Jinhui Tang, and Tat-Seng Chua. Read Xiangnan He's latest research, browse their coauthor's research, and play around with their algorithms %���� Jiawei Chen, Hande Dong, Xiangnan He are with the University of Science and Technology of China. x��:�r�F����ވ����*.�E��1��h$��f�����B�ܯ���,\DKޘ��}!QWV�W��9l���>=����ȍ�Z��&R��C��O�p^�"��M�o�bs��-l?��}w����d�n������v��@$��B�����On�y�����N�D�~��C�Ev*��-�;��O���7ՁF����1��hi&����+N��~QW���W4m֙��J�n��H�AD7�+�����ө��v����﮻��� "$ �"}���D�� Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System Tianxin Wei1, Fuli Feng2, Jiawei Chen1, Chufeng Shi1, Ziwei Wu1, Jinfeng Yi3, Xiangnan He1 1University of Science and Technology of China, 2National University of Singapore, 3JD AI Research rouseau@mail.ustc.edu.cn,fulifeng93@gmail.com,cjwustc@ustc.edu.cn You signed in with another tab or window. In this work, we aim to simplify the design of GCN to make it more concise and appropriate for recommendation. hexiangnan has no activity << /Lang (en) /Names 807 0 R /OpenAction 857 0 R /Outlines 768 0 R /PageMode /UseOutlines /Pages 767 0 R /Type /Catalog /ViewerPreferences << /DisplayDocTitle true >> >> How to Learn Item Representation for Cold-Start Multimedia Recommendation?. Prevent this user from interacting with your repositories and sending you notifications. Prevent this user from interacting with your repositories and sending you notifications. His research interests span information retrieval, data mining, and multimedia analytics. x�cbd`�g`b``8 "�6�H�� ��#X|���&�H19 �x�D~b��" 2CDޘR�� endobj Title. E-mail: xiangwang@u.nus.edu and fulifeng93@gmail.com. 416 XIANGNAN HE, University of Scinece and Technology of China, China PENG JIANG, Kuaishou Inc., China TAT-SENG CHUA, National University of Singapore, Republic of Singapore Static recommendation methods like collaborative filtering suffer from the inherent limitation of performing real-time personalization for cold-start users. 121 In Proceedings of the 37th International ACM SIGIR Conference on Research & Development in Information Retrieval (SIGIR 2014, Accept rate: 21%), pp. Take a look at the 600 0 obj << /Filter /FlateDecode /Length 3947 >> x�c```b`�ve`e`��`f�0� X:x��H�����ك��a��2��0���� 2�����0F0�-`�`�b�����05��oiC��3�7ZJV,p`^�0�!Ȁ�ã��˄+�/vM)x�P��-�֭�i�*Qĩ+�k��H�����#H��e�"8��DQB��t]a-�������d��w�T���g��՛���E���)-�Vt*2�M�)I+������,��f�$���������B��d�Fw�G�m@��������T���Pq��b���@����#(����zV�˩^�ݺ��� LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation, Paper in arXiv. Xiang Wang, Fuli Feng are with the National University of Singapore. SIGKDD ‘20 PDF@USTC; Dialogue Understanding and Generation: Towards Deep Conversational Recommendations. Verified email at ustc.edu.cn - Homepage. Recommender System Multimedia Recommendation Information Retrieval Data Mining. Learn more about blocking users. Contributors: Dr. Xiangnan He (staff.ustc.edu.cn/~hexn/), Kuan Deng, Yingxin Wu. Xiangnan He University of Science and Technology of China, China xiangnanhe@gmail.com ABSTRACT Time series prediction is an intensively studied topic in data mining. Xiangnan He, Ming Gao, Min-Yen Kan, Yiqun Liu, and Kazunari Sugiyama. Current organizer team … Xiangnan He Sampling strategies have been widely applied in many recommendation systems to accelerate model learning from implicit feedback data. Python Εi�V����h�tw%��@[�-���꒺�LP��,��y ���2]@�� ��$�t�L��@5a��f�v��40�$H���b�m�/D�E儻+LЦq In Proceedings of the 28th ACM International Conference on Multimedia (MM ’20), October 12–16, 2020, Seattle, WA, USA. "Yրɵ`�+��`r1���w�����.�F�Qr��&�;w��0J�q���a��$ Gv: stream Research Interests: Causal recommendation, … Xiangnan He School of Information Science and Technology, USTC xiangnanhe@gmail.com Yongfeng Zhang Department of Computer Science Rutgers University … wenqiang lei National University of Singapore Verified email at u.nus.edu. Chongming GAO 高崇铭. XIANGNAN HE, University of Scinece and Technology of China, China PENG JIANG, Kuaishou Inc., China TAT-SENG CHUA, National University of Singapore, Republic of Singapore Static recommendation methods like collaborative filtering suffer from the inherent limitation of performing real-time personalization for cold-start users. Contact GitHub support about this user’s behavior. 356 Block user. 443 Huangshan Road, Hefei, China 230027 Email: xiangnanhe at gmail.com I lead the USTC Lab for Data Science. endobj D.Eng. Xiangnan He. ��[��1�f��p�!�� A8������)�U,00e3�~�d ��� Vj� Woodstock ’18, June 03–05, 2018, W oodstock, NY Tianxin Wei 1, Fuli Feng 2, Jiawei Chen 1, Chufeng Shi 1, Ziwei W u 1, Jinfeng Yi 3, Xiangnan He 1 Figure 5: The framework of MACR. yet for this period. Contributors: Dr. Xiangnan He (staff.ustc.edu.cn/~hexn/), Kuan Deng, Yingxin Wu. He received the Ph.D. degree in Computer Science from National University of Singapore (NUS) in 2016. endobj Xiangnan He, Min-Yen Kan, Peichu Xie, and Xiao Chen. 137, Adversarial Learning, Matrix Factorization, Recommendation, Python Each re-lation is described with a two-level hierarchy of type and value. E� W/_�����ҝ6�Hc�б���H���� ���f7n�p��&��H[`"�(K��Ť��YX�����TDs����6. 166, TensorFlow Implementation of Attentional Factorization Machine, Python A Sequential Meta-Learning Method∗ Yang Zhang1, Fuli Feng2, Chenxu Wang1, Xiangnan He1, Meng Wang3, Yan Li4, Yongdong Zhang1 1University of Science and Technology of China, 2National University of Singapore 3Hefei University of Technology, 4Beijing Kuaishou Technology Co., Ltd. Beijing, China {fulifeng93,xiangnanhe}@gmail.com,{zy2015,wcx123}@mail.ustc… Haoru Wang's 9 research works with 15 citations and 359 reads, including: Electroresistance effect in oxygen-deficient La 0.8 Ba 0.2 MnO 3− δ thin films Dr. Xiangnan He is a professor with the University of Science and Technology of China (USTC). Wenqiang Lei, Gangyi Zhang, Xiangnan He, Yisong Miao, Xiang Wang, Liang Chen & Tat-Seng Chua. Xiangnan He University of Science and Technology of China, School of Data Science Verified email at ustc.edu.cn. ��Y@-�@���(v-�R������-����k���:23T��.8�]-��W`�_4-l�פH�3��CCU�P8�Np,Ƌ��a����h�N�``�e�Ҡ�hN������7��5�e��.�mv7��"����D�3+�f?G���;�Έ1p�0q-nbd�7��d�bV�����)��� 58, Experiments codes for SIGIR'16 paper "Fast Matrix Factorization for Online Recommendation with Implicit Feedback ", Java PDF Slides [9] Comment-based Multi-View Clustering of Web 2.0 Items. Advisors . endobj 602 0 obj University of Science and Technology of China, School of Data Science. stream 35 He is a Professor with the University of Science and Technology of China (USTC). Raymond Li, Samira Ebrahimi Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin, and Chris Pal. 13. My research interests span information retrieval, data mining, and multi-media analytics. Richang Hong, Daqing Liu, Xiaoyu Mo, Xiangnan He, Hanwang Zhang, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2019 ieee / arxiv / bibtex } We propose to recursively accumulate grounding confidence along the dynamically composed tree for visual grounding. 598 0 obj 2020. Learn more about blocking users. LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation, Paper in arXiv. %PDF-1.5 Sort. Seeing something unexpected? endstream
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