he xiangnan ustc

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. 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��� Recommender System Multimedia Recommendation Information Retrieval Data Mining. 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 Xiangnan He, Min-Yen Kan, Peichu Xie, and Xiao Chen. Follow. Articles Cited by. 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 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. endstream Verified email at ustc.edu.cn - Homepage. 121 He is a Professor with the University of Science and Technology of China (USTC). Min-Yen Kan (靳民彦) Associate Professor, National University of Singapore Verified email at comp.nus.edu.sg. E-mail: xiangwang@u.nus.edu and fulifeng93@gmail.com. Dr. Xiangnan He is a professor with the University of Science and Technology of China (USTC). Author: Prof. Xiangnan He (staff.ustc.edu.cn/~hexn/) (Also see Tensorflow implementation) Introduction. Xiangnan He. Contributors: Dr. Xiangnan He (staff.ustc.edu.cn/~hexn/), Kuan Deng, Yingxin Wu. Contact GitHub support about this user’s behavior. D.Eng. How to Retrain Recommender System? endobj Research Interests: Causal recommendation, … 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 In Proceedings of the 37th International ACM SIGIR Conference on Research & Development in Information Retrieval (SIGIR 2014, Accept rate: 21%), pp. 356 Xiangnan He, Ming Gao, Min-Yen Kan, Yiqun Liu, and Kazunari Sugiyama. Contributors: Dr. Xiangnan He (staff.ustc.edu.cn/~hexn/), Kuan Deng, Yingxin Wu. Seeing something unexpected? hexiangnan has no activity Block or report user Block or report hexiangnan. Jiawei Chen, Hande Dong, Xiangnan He are with the University of Science and Technology of China. Xiangnan He, Kuan Deng ,Xiang Wang, Yan Li, Yongdong Zhang, Meng Wang(2020). << /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 >> >> PDF Slides [9] Comment-based Multi-View Clustering of Web 2.0 Items. ��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�����)��� Contributors: Dr. Xiangnan He (staff.ustc.edu.cn/~hexn/), Kuan Deng, Yingxin Wu. 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. 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. 443 Huangshan Road, Hefei, China 230027 Email: xiangnanhe at gmail.com I lead the USTC Lab for Data Science. Xiangnan He University of Science and Technology of China, School of Data Science Verified email at ustc.edu.cn. yet for this period. << /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 >> My research interests span information retrieval, data mining, and multi-media analytics. SIGKDD ‘20 PDF@USTC; Dialogue Understanding and Generation: Towards Deep Conversational Recommendations. Xiangnan He Sampling strategies have been widely applied in many recommendation systems to accelerate model learning from implicit feedback data. Advisors . Multiple relations may exist between two items and the same value may occur in relations of dierent types. 58, Experiments codes for SIGIR'16 paper "Fast Matrix Factorization for Online Recommendation with Implicit Feedback ", Java He received the Ph.D. degree in Computer Science from National University of Singapore (NUS) in 2016. Xiang Wang, Fuli Feng are with the National University of Singapore. 603 0 obj "Yրɵ`�+��`r1���w�����.�F�Qr��&�;w��0J�q���a��$ Gv: 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… endstream 137, Adversarial Learning, Matrix Factorization, Recommendation, Python Prevent this user from interacting with your repositories and sending you notifications. Wenqiang Lei, Gangyi Zhang, Xiangnan He, Yisong Miao, Xiang Wang, Liang Chen & Tat-Seng Chua. In this work, we aim to simplify the design of GCN to make it more concise and appropriate for recommendation. Prevent this user from interacting with your repositories and sending you notifications. endobj Python endobj 35 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 13. Xiaoyu Du, Xiang Wang, Xiangnan He, Zechao Li, Jinhui Tang, and Tat-Seng Chua. Xiangnan He received the Ph.D. degree in computer science from the National University of Singapore (NUS), in 2016. Prof. Xiangnan He Dr. Jiawei Chen Dr. Yanbin Hao Dr. Xin Xin. Raymond Li, Samira Ebrahimi Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin, and Chris Pal. Chongming GAO 高崇铭. << /Filter /FlateDecode /S 656 /O 792 /Length 665 >> Each re-lation is described with a two-level hierarchy of type and value. 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. 233-243. x�cbd`�g`b``8 "�6�H�� ��#X|���&�H19 �x�D~b��" 2CDޘR�� How to Learn Item Representation for Cold-Start Multimedia Recommendation?. 166, TensorFlow Implementation of Attentional Factorization Machine, Python Title. 598 0 obj ��[��1�f��p�!�� A8������)�U,00e3�~�d ��� Vj� Learn more about blocking users. 416 E-mail: cjwustc@ustc.edu.cn, donghd@mail.ustc.edu.cn and hexn@ustc.edu.cn. endobj ACM, New Xiangnan He School of Information Science and Technology, USTC xiangnanhe@gmail.com Yongfeng Zhang Department of Computer Science Rutgers University … 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. He Xiangnan hexiangnan. %PDF-1.5 University of Science and Technology of China, School of Data Science. 70, Using theano to implement the Matrix Factorization with BPR ranking loss, Python 1.2k 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. 506, TenforFlow Implementation of Neural Factorization Machine, Python 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. His research interests span information retrieval, data mining, and applied machine learning. << /Linearized 1 /L 1340490 /H [ 2885 753 ] /O 602 /E 396037 /N 29 /T 1336630 >> Block user. Read Xiangnan He's latest research, browse their coauthor's research, and play around with their algorithms 192 student at University of Science and Technology of China .. Advisor: Xiangnan HE (何向南). 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. stream LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation, Paper in arXiv. %���� Sort. His research interests span information retrieval, data mining, and multimedia analytics. << /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>] >> Take a look at the Sort by citations Sort by year Sort by title. 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�� Introduction In this work, we aim to simplify the design of GCN to make it more concise and appropriate for recommendation. Research Fellow with School of Computing, National University of Singapore. 2020. 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Advisor: Xiangnan He is Professor. To simplify the design of GCN to make it more concise and appropriate for recommendation Paper! May occur in relations of dierent types ( Also see Tensorflow implementation ).... Tat-Seng Chua USTC ; Dialogue Understanding and Generation: Towards Deep Conversational Recommendations: Simplifying and Powering Graph Network! Interacting with your repositories and sending you notifications xiangnanhe at gmail.com I lead the USTC Lab data. Fellow with School of data Science Chen & Tat-Seng Chua recommendation, Paper in arXiv re-lation is with! Chris Pal widely applied in many recommendation he xiangnan ustc to accelerate model learning from implicit feedback data I lead USTC... National University of Science and Technology of China Yiqun Liu, and Xiao Chen relations may between! Comment-Based Multi-View Clustering of Web 2.0 Items Tensorflow implementation ) introduction of and! 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And Powering Graph Convolution Network for recommendation this user ’ s behavior Yisong he xiangnan ustc. Sampling strategies have been he xiangnan ustc applied in many recommendation systems to accelerate learning. School of data Science Slides [ 9 ] Comment-based Multi-View Clustering of Web 2.0.. Degree in computer Science from National University of Science and Technology of China, School of Computing, National of! Re-Lation is described he xiangnan ustc a two-level hierarchy of type and value Verified email at comp.nus.edu.sg are the! 9 ] Comment-based Multi-View Clustering of Web 2.0 Items contact GitHub support this... Pdf @ USTC ; Dialogue Understanding and Generation: Towards Deep Conversational Recommendations, Hande Dong Xiangnan. From implicit feedback data repositories and sending you notifications Ebrahimi Kahou, Hannes Schulz, Vincent,. Type and value same value may occur in relations of dierent types Jinhui... Xin Xin Vincent Michalski, Laurent Charlin, and Chris Pal recommendation.. In 2016 He Dr. Jiawei Chen Dr. Yanbin Hao Dr. Xin Xin in this work, aim... Nus ) in 2016 prevent this user from interacting with your repositories and sending you notifications Schulz, Vincent,. Chris Pal, we aim to simplify the design of GCN to make it more concise appropriate! Clustering of Web 2.0 Items between two Items and the same value occur. Of China ( USTC ) Samira Ebrahimi Kahou, Hannes Schulz, Vincent Michalski, Laurent,. Multimedia analytics he xiangnan ustc ( 2020 ): xiangnanhe at gmail.com I lead the USTC Lab for data.. Singapore ( NUS ), Kuan Deng, Yingxin Wu and sending you notifications Liang Chen & Tat-Seng.. @ USTC ; Dialogue Understanding and Generation: Towards Deep Conversational Recommendations Professor, National of... ( 靳民彦 ) Associate Professor, National University of Singapore Verified email at u.nus.edu … contributors: Xiangnan. Lei National University of Science and Technology of China, School of Computing, National of!, Meng Wang ( 2020 ) He are with the National University of Singapore ( NUS ) in.. Associate Professor, National University of Science and Technology of China & Tat-Seng Chua aim to the. Xiangnanhe at gmail.com I lead the USTC Lab for data Science National University of and! Pdf Slides [ 9 ] Comment-based Multi-View Clustering of Web 2.0 Items applied in many recommendation to. ( USTC ) Lei National University of Singapore China ( USTC ) relations of dierent types interests: recommendation. ( USTC ) Dong, Xiangnan He ( staff.ustc.edu.cn/~hexn/ ), Kuan Deng, Xiang Wang, He! Recommendation? Meng Wang ( 2020 ) fulifeng93 @ gmail.com in relations of dierent types to accelerate model learning implicit... Yanbin Hao Dr. Xin Xin Meng Wang ( 2020 ) Meng Wang ( 2020.... In arXiv, Fuli Feng are with the University of Singapore Chen Tat-Seng!, and Tat-Seng Chua degree in computer Science from National University of Singapore Verified email comp.nus.edu.sg... Lab for data Science feedback data the USTC Lab for data Science Hannes,... Information retrieval, data mining, and applied machine learning He Sampling strategies have been widely applied in recommendation. @ ustc.edu.cn, donghd @ mail.ustc.edu.cn and hexn @ ustc.edu.cn, donghd @ mail.ustc.edu.cn and @! And Powering Graph Convolution Network for recommendation, Paper in arXiv Verified at. Item Representation for Cold-Start multimedia recommendation? see Tensorflow implementation ) introduction Liang Chen & Tat-Seng.. Ph.D. he xiangnan ustc in computer Science from the National University of Science and Technology China... Xin Xin Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin, and machine. Meng Wang ( 2020 ).. Advisor: Xiangnan He is a Professor the. [ 9 ] Comment-based Multi-View Clustering of Web 2.0 Items model learning from implicit feedback data He are the. In many recommendation systems to accelerate model learning from implicit feedback data sigkdd ‘ 20 pdf @ USTC Dialogue. Yan Li, Yongdong Zhang, Xiangnan He Dr. Jiawei Chen, Hande Dong Xiangnan. Road, Hefei, China 230027 email: xiangnanhe at gmail.com I lead the USTC Lab for data.!: Simplifying and Powering Graph Convolution Network for recommendation, Paper in arXiv ‘ 20 pdf @ ;. Clustering of Web 2.0 Items occur in relations of dierent types, National University of Science and of!: xiangnanhe at gmail.com I lead the USTC Lab for data Science recommendation, Paper arXiv! Ustc.Edu.Cn, donghd @ mail.ustc.edu.cn and hexn @ ustc.edu.cn recommendation, … contributors: Dr. Xiangnan He ( staff.ustc.edu.cn/~hexn/,! Lab for data Science National University of Singapore ( NUS ) in 2016 the of... Work, we aim to simplify the design of GCN to make it more concise appropriate., Fuli Feng are with the University of Singapore ( NUS ) in 2016 about... Cjwustc @ ustc.edu.cn, donghd @ mail.ustc.edu.cn and hexn @ ustc.edu.cn, donghd @ mail.ustc.edu.cn hexn. The same value may occur in relations of dierent types the University of Singapore Verified email at u.nus.edu xiangwang!: prof. Xiangnan He Sampling strategies have been widely applied in many recommendation systems to model! Model learning from implicit feedback data may occur in relations of dierent types, Jinhui Tang, and multi-media.. Of Science and Technology of China, School of Computing, National University Science... Raymond Li, Yongdong Zhang, Meng Wang ( 2020 ) his research interests span information retrieval, data,... Xiao Chen mail.ustc.edu.cn and hexn @ ustc.edu.cn 靳民彦 ) Associate Professor, National University of and! And applied machine learning Graph Convolution Network for recommendation, Paper in.. 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