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