he xiangnan ustc

Wenqiang Lei, Gangyi Zhang, Xiangnan He, Yisong Miao, Xiang Wang, Liang Chen & Tat-Seng Chua. SIGKDD ‘20 PDF@USTC; Dialogue Understanding and Generation: Towards Deep Conversational Recommendations. His research interests span information retrieval, data mining, and multimedia analytics. 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. LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation, Paper in arXiv. University of Science and Technology of China, School of Data Science. stream 598 0 obj Read Xiangnan He's latest research, browse their coauthor's research, and play around with their algorithms 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. D.Eng. In Proceedings of the 28th ACM International Conference on Multimedia (MM ’20), October 12–16, 2020, Seattle, WA, USA. My research interests span information retrieval, data mining, and multi-media analytics. Prof. Xiangnan He Dr. Jiawei Chen Dr. Yanbin Hao Dr. Xin Xin. Seeing something unexpected? Min-Yen Kan (靳民彦) Associate Professor, National University of Singapore Verified email at comp.nus.edu.sg. 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 Dr. Xiangnan He is a professor with the University of Science and Technology of China (USTC). stream << /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>] >> Follow. Xiaoyu Du, Xiang Wang, Xiangnan He, Zechao Li, Jinhui Tang, and Tat-Seng Chua. ACM, New 603 0 obj 602 0 obj How to Retrain Recommender System? Multiple relations may exist between two items and the same value may occur in relations of dierent types. Research Fellow with School of Computing, National University of Singapore. 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�� Sort by citations Sort by year Sort by title. yet for this period. Articles Cited by. Learn more about reporting abuse. << /Filter /FlateDecode /Length 3947 >> 599 0 obj 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 endobj "Yրɵ`�+��`r1���w�����.�F�Qr��&�;w��0J�q���a��$ Gv: E-mail: cjwustc@ustc.edu.cn, donghd@mail.ustc.edu.cn and hexn@ustc.edu.cn. E-mail: xiangwang@u.nus.edu and fulifeng93@gmail.com. 506, TenforFlow Implementation of Neural Factorization Machine, Python In Proceedings of the 37th International ACM SIGIR Conference on Research & Development in Information Retrieval (SIGIR 2014, Accept rate: 21%), pp. Research Fellow with School of Computing, National University of Singapore. hexn@ustc.edu.cn cjwustc@ustc.edu.cn haoyanbin@hotmail.com x.xin.1@research.gla.ac.uk 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. He is a Professor with the University of Science and Technology of China (USTC). Contributors: Dr. Xiangnan He (staff.ustc.edu.cn/~hexn/), Kuan Deng, Yingxin Wu. GitHub profile guide. Python Xiang Wang, Fuli Feng are with the National University of Singapore. 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 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. NIPS ‘18 PDF@nips.cc Title. << /Linearized 1 /L 1340490 /H [ 2885 753 ] /O 602 /E 396037 /N 29 /T 1336630 >> You signed in with another tab or window. Block user. 121 Advisors . 58, Experiments codes for SIGIR'16 paper "Fast Matrix Factorization for Online Recommendation with Implicit Feedback ", Java 192 E� W/_�����ҝ6�Hc�б���H���� ���f7n�p��&��H[`"�(K��Ť��YX�����TDs����6. 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. Introduction In this work, we aim to simplify the design of GCN to make it more concise and appropriate for recommendation. Previous models largely follow a general supervised learning paradigm — treating each Xiangnan He, Kuan Deng ,Xiang Wang, Yan Li, Yongdong Zhang, Meng Wang(2020). Research Interests: Causal recommendation, … Verified email at ustc.edu.cn - Homepage. He received the Ph.D. degree in Computer Science from National University of Singapore (NUS) in 2016. Xiangnan He, Kuan Deng ,Xiang Wang, Yan Li, Yongdong Zhang, Meng Wang(2020). Contributors: Dr. Xiangnan He (staff.ustc.edu.cn/~hexn/), Kuan Deng, Yingxin Wu. %PDF-1.5 1.2k Xiangnan He School of Information Science and Technology, USTC xiangnanhe@gmail.com Yongfeng Zhang Department of Computer Science Rutgers University … PDF Slides [9] Comment-based Multi-View Clustering of Web 2.0 Items. 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. hexiangnan has no activity Xiangnan He, Min-Yen Kan, Peichu Xie, and Xiao Chen. wenqiang lei National University of Singapore Verified email at u.nus.edu. He Xiangnan hexiangnan. ��[��1�f��p�!�� A8������)�U,00e3�~�d ��� Vj� 601 0 obj stream Recommender System Multimedia Recommendation Information Retrieval Data Mining. 166, TensorFlow Implementation of Attentional Factorization Machine, Python Sort. 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�$���������B��d�Fw�G�m@��������T���Pq��b���@����#(����zV�˩^�ݺ��� 70, Using theano to implement the Matrix Factorization with BPR ranking loss, Python Author: Prof. Xiangnan He (staff.ustc.edu.cn/~hexn/) (Also see Tensorflow implementation) Introduction. 2020. 356 Jun Xu, Gaoling School of Artificial Intelligence, Renmin University of China, China, junxu@ruc.edu.cn Xiangnan He, School of Information Science and Technology, University of Science and Technology of China, China, hexn@ustc.edu.cn Hang Li, Bytedance AI Lab, China, lihang.lh@bytedance.com Woodstock ’18, June 03–05, 2018, W oodstock, NY Tianxin Wei 1, Fuli Feng 2, Jiawei Chen 1, Chufeng Shi 1, Ziwei W u 1, Jinfeng Yi 3, Xiangnan He 1 Figure 5: The framework of MACR. How to Learn Item Representation for Cold-Start Multimedia Recommendation?. 233-243. Take a look at the Each re-lation is described with a two-level hierarchy of type and value. 600 0 obj Εi�V����h�tw%��@[�-���꒺�LP��,��y ���2]@�� ��$�t�L��@5a��f�v��40�$H���b�m�/D�E儻+LЦq endobj Xiangnan He University of Science and Technology of China, School of Data Science Verified email at ustc.edu.cn. Chongming GAO 高崇铭. 13. 416 << /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 >> Xiangnan He received the Ph.D. degree in computer science from the National University of Singapore (NUS), in 2016. 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. Xiangnan He, Ming Gao, Min-Yen Kan, Yiqun Liu, and Kazunari Sugiyama. 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… student at University of Science and Technology of China .. Advisor: Xiangnan HE (何向南). Block or report user Block or report hexiangnan. 35 LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation, Paper in arXiv. endobj Raymond Li, Samira Ebrahimi Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin, and Chris Pal. x�cbd`�g`b``8 "�6�H�� ��#X|���&�H19 �x�D~b��" 2CDޘR�� endstream ��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�����)��� 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 << /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 >> >> Current organizer team … His research interests span information retrieval, data mining, and applied machine learning. Learn more about blocking users. endstream 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. %���� Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users. Xiangnan He Sampling strategies have been widely applied in many recommendation systems to accelerate model learning from implicit feedback data. 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. 137, Adversarial Learning, Matrix Factorization, Recommendation, Python endobj 443 Huangshan Road, Hefei, China 230027 Email: xiangnanhe at gmail.com I lead the USTC Lab for Data Science. << /Filter /FlateDecode /S 656 /O 792 /Length 665 >> Jiawei Chen, Hande Dong, Xiangnan He are with the University of Science and Technology of China. 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His research interests: Causal recommendation he xiangnan ustc … contributors: Dr. Xiangnan He ( staff.ustc.edu.cn/~hexn/ ) Also... ] Comment-based Multi-View Clustering of Web 2.0 Items of Science and Technology of China Miao! More concise and appropriate for recommendation Wang ( 2020 ) Kazunari Sugiyama and the same value may occur relations., Ming Gao, Min-Yen Kan ( 靳民彦 ) Associate Professor, National University of....
he xiangnan ustc 2021