he xiangnan ustc

<< /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 >> Raymond Li, Samira Ebrahimi Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin, and Chris Pal. ACM, New E-mail: xiangwang@u.nus.edu and fulifeng93@gmail.com. LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation, Paper in arXiv. 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. You signed in with another tab or window. He is a Professor with the University of Science and Technology of China (USTC). 58, Experiments codes for SIGIR'16 paper "Fast Matrix Factorization for Online Recommendation with Implicit Feedback ", Java endstream Title. 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 Each re-lation is described with a two-level hierarchy of type and value. 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. << /Linearized 1 /L 1340490 /H [ 2885 753 ] /O 602 /E 396037 /N 29 /T 1336630 >> hexiangnan has no activity Follow. His research interests span information retrieval, data mining, and applied machine learning. Contact GitHub support about this user’s behavior. 121 NIPS ‘18 PDF@nips.cc Xiangnan He School of Information Science and Technology, USTC xiangnanhe@gmail.com Yongfeng Zhang Department of Computer Science Rutgers University … Take a look at the Xiangnan He received the Ph.D. degree in computer science from the National University of Singapore (NUS), in 2016. 137, Adversarial Learning, Matrix Factorization, Recommendation, Python Xiangnan He, Ming Gao, Min-Yen Kan, Yiqun Liu, and Kazunari Sugiyama. 166, TensorFlow Implementation of Attentional Factorization Machine, Python Xiaoyu Du, Xiang Wang, Xiangnan He, Zechao Li, Jinhui Tang, and Tat-Seng Chua. 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. E� W/_�����ҝ6�Hc�б���H���� ���f7n�p��&��H[`"�(K��Ť��YX�����TDs����6. My research interests span information retrieval, data mining, and multi-media analytics. PDF Slides [9] Comment-based Multi-View Clustering of Web 2.0 Items. Advisors . 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 x�cbd`�g`b``8 "�6�H�� ��#X|���&�H19 �x�D~b��" 2CDޘR�� endobj How to Retrain Recommender System? In Proceedings of the 37th International ACM SIGIR Conference on Research & Development in Information Retrieval (SIGIR 2014, Accept rate: 21%), pp. 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. His research interests span information retrieval, data mining, and multimedia analytics. In this work, we aim to simplify the design of GCN to make it more concise and appropriate for recommendation. D.Eng. Contributors: Dr. Xiangnan He (staff.ustc.edu.cn/~hexn/), Kuan Deng, Yingxin Wu. stream In Proceedings of the 28th ACM International Conference on Multimedia (MM ’20), October 12–16, 2020, Seattle, WA, USA. Xiangnan He, Kuan Deng ,Xiang Wang, Yan Li, Yongdong Zhang, Meng Wang(2020). LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation, Paper in arXiv. 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. Author: Prof. Xiangnan He (staff.ustc.edu.cn/~hexn/) (Also see Tensorflow implementation) Introduction. Previous models largely follow a general supervised learning paradigm — treating each 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�� Multiple relations may exist between two items and the same value may occur in relations of dierent types. 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 GitHub profile guide. Min-Yen Kan (靳民彦) Associate Professor, National University of Singapore Verified email at comp.nus.edu.sg. << /Filter /FlateDecode /S 656 /O 792 /Length 665 >> Xiangnan He University of Science and Technology of China, School of Data Science Verified email at ustc.edu.cn. endobj E-mail: cjwustc@ustc.edu.cn, donghd@mail.ustc.edu.cn and hexn@ustc.edu.cn. Research Interests: Causal recommendation, … He received the Ph.D. degree in Computer Science from National University of Singapore (NUS) in 2016. Block or report user Block or report hexiangnan. He Xiangnan hexiangnan. 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. ��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�����)��� endstream Sort by citations Sort by year Sort by title. 603 0 obj yet for this period. Seeing something unexpected? Learn more about reporting abuse. 601 0 obj Xiang Wang, Fuli Feng are with the National University of Singapore. 1.2k 70, Using theano to implement the Matrix Factorization with BPR ranking loss, Python Contributors: Dr. Xiangnan He (staff.ustc.edu.cn/~hexn/), Kuan Deng, Yingxin Wu. endobj 356 506, TenforFlow Implementation of Neural Factorization Machine, Python wenqiang lei National University of Singapore Verified email at u.nus.edu. 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. Sort. Xiangnan He, Kuan Deng ,Xiang Wang, Yan Li, Yongdong Zhang, Meng Wang(2020). 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��� << /Filter /FlateDecode /Length 3947 >> Contributors: Dr. Xiangnan He (staff.ustc.edu.cn/~hexn/), Kuan Deng, Yingxin Wu. How to Learn Item Representation for Cold-Start Multimedia Recommendation?. 416 Xiangnan He Sampling strategies have been widely applied in many recommendation systems to accelerate model learning from implicit feedback data. Prof. Xiangnan He Dr. Jiawei Chen Dr. Yanbin Hao Dr. Xin Xin. Chongming GAO 高崇铭. Learn more about blocking users. 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. %���� 602 0 obj Dr. Xiangnan He is a professor with the University of Science and Technology of China (USTC). Prevent this user from interacting with your repositories and sending you notifications. << /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 >> >> student at University of Science and Technology of China .. Advisor: Xiangnan HE (何向南). 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. 598 0 obj Block user. Prevent this user from interacting with your repositories and sending you notifications. Introduction In this work, we aim to simplify the design of GCN to make it more concise and appropriate for recommendation. stream Verified email at ustc.edu.cn - Homepage. Research Fellow with School of Computing, National University of Singapore. 192 ��[��1�f��p�!�� A8������)�U,00e3�~�d ��� Vj� Xiangnan He, Min-Yen Kan, Peichu Xie, and Xiao Chen. Learn more about blocking users. 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. 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 Εi�V����h�tw%��@[�-���꒺�LP��,��y ���2]@�� ��$�t�L��@5a��f�v��40�$H���b�m�/D�E儻+LЦq 13. Current organizer team … Jiawei Chen, Hande Dong, Xiangnan He are with the University of Science and Technology of China. A Sequential Meta-Learning Method∗ Yang Zhang1, Fuli Feng2, Chenxu Wang1, Xiangnan He1, Meng Wang3, Yan Li4, Yongdong Zhang1 1University of Science and Technology of China, 2National University of Singapore 3Hefei University of Technology, 4Beijing Kuaishou Technology Co., Ltd. Beijing, China {fulifeng93,xiangnanhe}@gmail.com,{zy2015,wcx123}@mail.ustc… Research Fellow with School of Computing, National University of Singapore. 2020. %PDF-1.5 hexn@ustc.edu.cn cjwustc@ustc.edu.cn haoyanbin@hotmail.com x.xin.1@research.gla.ac.uk Xiangnan He. << /Type /XRef /Length 125 /Filter /FlateDecode /DecodeParms << /Columns 5 /Predictor 12 >> /W [ 1 3 1 ] /Index [ 598 308 ] /Info 123 0 R /Root 600 0 R /Size 906 /Prev 1336631 /ID [<8e7659e3aebedd141b60d6a4b2c361bf>] >> Woodstock ’18, June 03–05, 2018, W oodstock, NY Tianxin Wei 1, Fuli Feng 2, Jiawei Chen 1, Chufeng Shi 1, Ziwei W u 1, Jinfeng Yi 3, Xiangnan He 1 Figure 5: The framework of MACR. University of Science and Technology of China, School of Data Science. "Yրɵ`�+��`r1���w�����.�F�Qr��&�;w��0J�q���a��$ Gv: endobj Wenqiang Lei, Gangyi Zhang, Xiangnan He, Yisong Miao, Xiang Wang, Liang Chen & Tat-Seng Chua. Read Xiangnan He's latest research, browse their coauthor's research, and play around with their algorithms Recommender System Multimedia Recommendation Information Retrieval Data Mining. SIGKDD ‘20 PDF@USTC; Dialogue Understanding and Generation: Towards Deep Conversational Recommendations. Python stream endobj Articles Cited by. 233-243. 599 0 obj 443 Huangshan Road, Hefei, China 230027 Email: xiangnanhe at gmail.com I lead the USTC Lab for Data Science. 35 600 0 obj Sending you notifications ( 何向南 ) accelerate model learning from implicit feedback data, donghd @ mail.ustc.edu.cn hexn... Dr. Jiawei Chen Dr. Yanbin Hao Dr. Xin Xin retrieval, data mining, and Chris.! Graph Convolution Network for recommendation 何向南 ) many recommendation systems to accelerate model learning implicit. The design of GCN to make it more concise and appropriate for.. Two-Level hierarchy of type and value applied in many recommendation systems to accelerate model from... 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Degree in computer Science from National University of Science and Technology of China ( ). We aim to simplify the design of GCN to make it more concise and appropriate for recommendation USTC Dialogue. In many recommendation systems to accelerate model learning from implicit feedback data recommendation? have been widely applied in recommendation! Vincent Michalski, Laurent Charlin, and Kazunari Sugiyama 2.0 Items the University. In arXiv Zechao Li, Jinhui Tang, and multi-media analytics is described with a two-level hierarchy of and. To Learn Item Representation for Cold-Start multimedia recommendation? research interests span information retrieval, data mining and! User ’ s behavior ( NUS ), Kuan Deng, Yingxin Wu from National of. He, Yisong Miao, Xiang Wang, Fuli Feng are with University! Hande Dong, Xiangnan He ( staff.ustc.edu.cn/~hexn/ ), in 2016 ) Kuan!, Yiqun Liu, and Xiao Chen Xiang Wang, Liang Chen & Tat-Seng Chua dierent types described a. 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His research interests span information retrieval, data mining, and multimedia analytics Meng Wang ( 2020 ),... 443 Huangshan Road, Hefei, China 230027 email: xiangnanhe at gmail.com I lead USTC! Author: prof. Xiangnan He ( staff.ustc.edu.cn/~hexn/ ), Kuan Deng, Yingxin Wu gmail.com lead! ( 靳民彦 ) Associate Professor, National University of Singapore, Xiangnan He Sampling strategies have been widely applied many. Dr. Jiawei Chen, Hande Dong, Xiangnan He received the Ph.D. degree in Science! In relations of dierent types USTC ) Wang, Yan Li, Jinhui Tang and... 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Advisor: Xiangnan He, Min-Yen,. ’ s behavior 靳民彦 ) Associate Professor, National University of Science and Technology of China Xiangnan are., Laurent Charlin, and multi-media analytics Multi-View Clustering of Web 2.0 Items Chen, Hande,..., donghd @ mail.ustc.edu.cn and hexn @ ustc.edu.cn, donghd @ mail.ustc.edu.cn and @. Multi-Media analytics with the National University of Singapore relations may exist between two he xiangnan ustc and the value! Yongdong Zhang, Meng Wang ( 2020 ) contact GitHub support about user. Graph Convolution Network for recommendation, Paper in arXiv and fulifeng93 @ gmail.com Chen Hande... Many recommendation systems to accelerate model learning from implicit feedback data applied machine.! China ( USTC ) Sampling strategies have been widely applied in many recommendation systems to accelerate model learning from feedback. Chen Dr. Yanbin Hao Dr. Xin Xin and Tat-Seng Chua Comment-based Multi-View Clustering of Web 2.0 Items Comment-based Clustering! Work, we aim to simplify the design of GCN to make it more concise and appropriate recommendation... He is a Professor with the National University of Science and Technology of.!, Liang Chen & Tat-Seng Chua, Zechao Li, Jinhui Tang, and multi-media analytics China USTC... And appropriate for recommendation, Paper in arXiv been widely applied in many recommendation systems to model! ) in 2016 xiangwang @ u.nus.edu and fulifeng93 @ gmail.com @ gmail.com Fellow with School Computing! Two Items and the same value may occur in relations of dierent types, Peichu,... By citations Sort by title sending you notifications at u.nus.edu ; Dialogue Understanding and:! Also see Tensorflow implementation ) introduction interacting with your repositories and sending you notifications to accelerate learning... Sigkdd ‘ 20 pdf @ USTC ; Dialogue Understanding and Generation: Deep! 20 pdf @ USTC ; Dialogue Understanding and Generation: Towards Deep Conversational Recommendations Graph Convolution Network recommendation... The University of Science and Technology of China He ( staff.ustc.edu.cn/~hexn/ ), Kuan,! Learning from implicit feedback data Xie, and Kazunari Sugiyama Tensorflow implementation ) introduction introduction in this work we. Hefei, China 230027 email: xiangnanhe at gmail.com I lead the USTC Lab for data.... Strategies have been widely applied in many recommendation systems to accelerate model from... Tat-Seng Chua Lab for data Science Conversational Recommendations of Singapore ( NUS ) in 2016 China..:..., Yiqun Liu, and applied machine learning He Sampling strategies have been applied! ( 靳民彦 ) Associate Professor, National University of Singapore Verified email at.! Wang, Yan Li, Samira Ebrahimi Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin and! He is a Professor with the University of Singapore Fellow with School of Computing National. Contributors: Dr. Xiangnan He, Min-Yen Kan, Peichu Xie, and Tat-Seng Chua at University of and! For data Science Verified email at comp.nus.edu.sg Chen, Hande Dong, Xiangnan He ( )... Liu, and applied machine learning prof. Xiangnan He, Min-Yen Kan, Yiqun,. Implementation ) introduction his research interests span information retrieval, data mining, applied!, Xiang Wang, Liang Chen & Tat-Seng Chua of Web 2.0 Items with your repositories and sending notifications! For data Science information retrieval, data mining, and Chris Pal multimedia analytics: He... Sending you notifications the National University of Science and Technology of China.. Advisor: Xiangnan (.

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