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Semantic ScholarJie Tang 0001
唐杰
Person information
- unicode name: 唐杰
- affiliation: Tsinghua University, Department of Computer Science and Technology, Beijing, China
Other persons with the same name
- Jie Tang — disambiguation page
- Jie Tang 0002
![[0000-0003-0619-0338]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0619-0338")
— South China University of Technology, School of Electronic and Information Engineering, Guangzhou, China (and 2 more) - Jie Tang 0003 — South China University of Technology, School of Computer Science and Engineering, Guangzhou, China (and 2 more)
- Jie Tang 0004 — Chinese Academy of Sciences, Shanghai Advanced Research Institute, China
- Jie Tang 0005 — George Mason University, Fairfax, VA, USA (and 1 more)
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2020 – today
- 2020
[j83]Sha Yuan, Yu Zhang, Jie Tang, Wendy Hall, Juan Bautista Cabotà:
Expert finding in community question answering: a review. Artif. Intell. Rev. 53(2): 843-874 (2020)- [j82]Jie Tang:
Message from the Incoming Editor-in-Chief. IEEE Trans. Big Data 6(1): 2 (2020) - [j81]Yukuo Cen, Jing Zhang, Gaofei Wang, Yujie Qian, Chuizheng Meng, Zonghong Dai, Hongxia Yang, Jie Tang:
Trust Relationship Prediction in Alibaba E-Commerce Platform. IEEE Trans. Knowl. Data Eng. 32(5): 1024-1035 (2020) - [j80]Dong Zhang, Shu Zhao, Zhen Duan, Jie Chen, Yanping Zhang, Jie Tang:
A Multi-Label Classification Method Using a Hierarchical and Transparent Representation for Paper-Reviewer Recommendation. ACM Trans. Inf. Syst. 38(1): 5:1-5:20 (2020) - [i43]Yukuo Cen, Jianwei Zhang, Xu Zou, Chang Zhou, Hongxia Yang, Jie Tang:
Controllable Multi-Interest Framework for Recommendation. CoRR abs/2005.09347 (2020)
2010 – 2019
- 2019
- [j79]Huaiyu Wan, Yutao Zhang, Jing Zhang, Jie Tang:
AMiner: Search and Mining of Academic Social Networks. Data Intell. 1(1): 58-76 (2019) - [j78]Daifeng Li, Yintian Wang, Andrew Madden, Ying Ding, Jie Tang, Gordon Guo-Zheng Sun, Ning Zhang, Enguo Zhou:
Analyzing stock market trends using social media user moods and social influence. J. Assoc. Inf. Sci. Technol. 70(9): 1000-1013 (2019) - [j77]Christos Giatsidis, Giannis Nikolentzos, Chenhui Zhang, Jie Tang, Michalis Vazirgiannis:
Rooted citation graphs density metrics for research papers influence evaluation. J. Informetrics 13(2): 757-768 (2019) - [c219]Wenzheng Feng, Jie Tang, Tracy Xiao Liu:
Understanding Dropouts in MOOCs. AAAI 2019: 517-524 - [c218]Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang, Jie Tang:
Cognitive Graph for Multi-Hop Reading Comprehension at Scale. ACL (1) 2019: 2694-2703 - [c217]Jifan Yu, Chenyu Wang, Gan Luo, Lei Hou, Juanzi Li, Zhiyuan Liu, Jie Tang:
Course Concept Expansion in MOOCs with External Knowledge and Interactive Game. ACL (1) 2019: 4292-4302 - [c216]George Panagopoulos, Christos Xypolopoulos, Konstantinos Skianis, Christos Giatsidis, Jie Tang, Michalis Vazirgiannis:
Scientometrics for Success and Influence in the Microsoft Academic Graph. COMPLEX NETWORKS (2) 2019: 1007-1017 - [c215]Jie Zhang, Yan Wang, Jie Tang:
A Fast Network Embedding Approach with Preserving Hierarchical Proximities. DSC 2019: 142-149 - [c214]Tianqi Wang, Qi Li, Jing Gao, Xia Jing, Jie Tang:
Improving Peer Assessment Accuracy by Incorporating Relative Peer Grades. EDM 2019 - [c213]Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, Jie Tang:
Towards Knowledge-Based Recommender Dialog System. EMNLP/IJCNLP (1) 2019: 1803-1813 - [c212]Yu Han, Jie Tang, Qian Chen:
Network Embedding under Partial Monitoring for Evolving Networks. IJCAI 2019: 2463-2469 - [c211]Yifeng Zhao, Xiangwei Wang, Hongxia Yang, Le Song, Jie Tang:
Large Scale Evolving Graphs with Burst Detection. IJCAI 2019: 4412-4418 - [c210]Yukuo Cen, Xu Zou, Jianwei Zhang, Hongxia Yang, Jingren Zhou, Jie Tang:
Representation Learning for Attributed Multiplex Heterogeneous Network. KDD 2019: 1358-1368 - [c209]Xichen Ding, Jie Tang, Tracy Xiao Liu, Cheng Xu, Yaping Zhang, Feng Shi, Qixia Jiang, Dan Shen:
Infer Implicit Contexts in Real-time Online-to-Offline Recommendation. KDD 2019: 2336-2346 - [c208]Zhengxiao Du, Xiaowei Wang, Hongxia Yang, Jingren Zhou, Jie Tang:
Sequential Scenario-Specific Meta Learner for Online Recommendation. KDD 2019: 2895-2904 - [c207]Qibin Chen, Junyang Lin, Yichang Zhang, Hongxia Yang, Jingren Zhou, Jie Tang:
Towards Knowledge-Based Personalized Product Description Generation in E-commerce. KDD 2019: 3040-3050 - [c206]Xiao Huang, Peng Cui, Yuxiao Dong, Jundong Li, Huan Liu, Jian Pei, Le Song, Jie Tang, Fei Wang, Hongxia Yang, Wenwu Zhu:
Learning From Networks: Algorithms, Theory, and Applications. KDD 2019: 3221-3222 - [c205]Yifeng Zhao, Jie Tang, Zhengxiao Du:
EFCNN: A Restricted Convolutional Neural Network for Expert Finding. PAKDD (2) 2019: 96-107 - [c204]Yan Wang, Jie Tang:
Event2Vec: Learning Event Representations Using Spatial-Temporal Information for Recommendation. PAKDD (3) 2019: 314-326 - [c203]Jie Tang, Jure Leskovec, Kuansan Wang, Deborah L. McGuinness, Hassan Sawaf:
Panel: Computational Methods about Knowledge Graph. WWW (Companion Volume) 2019: 677 - [c202]Jie Tang, Yuxiao Dong:
Representation Learning on Networks: Theories, Algorithms, and Applications. WWW (Companion Volume) 2019: 1321-1322 - [c201]Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang, Jie Tang:
NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization. WWW 2019: 1509-1520 - [e15]Jun Zhao, Frank van Harmelen, Jie Tang, Xianpei Han, Quan Wang, Xianyong Li:
Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding - Third China Conference, CCKS 2018, Tianjin, China, August 14-17, 2018, Revised Selected Papers. Communications in Computer and Information Science 957, Springer 2019, ISBN 978-981-13-3145-9 [contents] - [e14]Jie Tang, Min-Yen Kan, Dongyan Zhao, Sujian Li, Hongying Zan:
Natural Language Processing and Chinese Computing - 8th CCF International Conference, NLPCC 2019, Dunhuang, China, October 9-14, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11838, Springer 2019, ISBN 978-3-030-32232-8 [contents] - [e13]Jie Tang, Min-Yen Kan, Dongyan Zhao, Sujian Li, Hongying Zan:
Natural Language Processing and Chinese Computing - 8th CCF International Conference, NLPCC 2019, Dunhuang, China, October 9-14, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11839, Springer 2019, ISBN 978-3-030-32235-9 [contents] - [i42]Fuli Feng, Xiangnan He, Jie Tang, Tat-Seng Chua:
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure. CoRR abs/1902.08226 (2019) - [i41]Qibin Chen, Junyang Lin, Yichang Zhang, Hongxia Yang, Jingren Zhou, Jie Tang:
Towards Knowledge-Based Personalized Product Description Generation in E-commerce. CoRR abs/1903.12457 (2019) - [i40]Yukuo Cen, Xu Zou, Jianwei Zhang, Hongxia Yang, Jingren Zhou, Jie Tang:
Representation Learning for Attributed Multiplex Heterogeneous Network. CoRR abs/1905.01669 (2019) - [i39]Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang, Jie Tang:
Cognitive Graph for Multi-Hop Reading Comprehension at Scale. CoRR abs/1905.05460 (2019) - [i38]Zhengxiao Du, Xiaowei Wang, Hongxia Yang, Jingren Zhou, Jie Tang:
Sequential Scenario-Specific Meta Learner for Online Recommendation. CoRR abs/1906.00391 (2019) - [i37]Zhengxiao Du, Chang Zhou, Ming Ding, Hongxia Yang, Jie Tang:
Cognitive Knowledge Graph Reasoning for One-shot Relational Learning. CoRR abs/1906.05489 (2019) - [i36]Guangyong Chen, Pengfei Chen, Chang-Yu Hsieh, Chee-Kong Lee, Benben Liao, Renjie Liao, Weiwen Liu, Jiezhong Qiu, Qiming Sun, Jie Tang, Richard S. Zemel, Shengyu Zhang:
Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models. CoRR abs/1906.09427 (2019) - [i35]Yuan Yuan, Tracy Xiao Liu, Chenhao Tan, Qian Chen, Alex Pentland, Jie Tang:
Identify and understand pay-it-forward reciprocity using millions of online red packets. CoRR abs/1906.09698 (2019) - [i34]Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang, Jie Tang:
NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization. CoRR abs/1906.11156 (2019) - [i33]Xichen Ding, Jie Tang, Tracy Xiao Liu, Cheng Xu, Yaping Zhang, Feng Shi, Qixia Jiang, Dan Shen:
Infer Implicit Contexts in Real-time Online-to-Offline Recommendation. CoRR abs/1907.04924 (2019) - [i32]Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, Jie Tang:
Towards Knowledge-Based Recommender Dialog System. CoRR abs/1908.05391 (2019) - [i31]Jifan Yu, Chenyu Wang, Gan Luo, Lei Hou, Juanzi Li, Jie Tang, Zhiyuan Liu:
Course Concept Expansion in MOOCs with External Knowledge and Interactive Game. CoRR abs/1909.07739 (2019) - [i30]Bo Chen, Jing Zhang, Jie Tang, Lingfan Cai, Zhaoyu Wang, Shu Zhao, Hong Chen, Cuiping Li:
CONNA: Addressing Name Disambiguation on The Fly. CoRR abs/1910.12202 (2019) - [i29]Jiezhong Qiu, Hao Ma, Omer Levy, Scott Wen-tau Yih, Sinong Wang, Jie Tang:
Blockwise Self-Attention for Long Document Understanding. CoRR abs/1911.02972 (2019) - [i28]Dong Zhang, Shu Zhao, Zhen Duan, Jie Chen, Yangping Zhang, Jie Tang:
A multi-label classification method using a hierarchical and transparent representation for paper-reviewer recommendation. CoRR abs/1912.08976 (2019) - 2018
- [j76]Kan Wu, Jie Tang, Zhou Shao, Xinyi Xu, Bo Gao, Shu Zhao:
CareerMap: visualizing career trajectory. Sci. China Inf. Sci. 61(10): 104101:1-104101:3 (2018) - [j75]Shu Zhao, Dong Zhang, Zhen Duan, Jie Chen, Yan-Ping Zhang, Jie Tang:
A novel classification method for paper-reviewer recommendation. Scientometrics 115(3): 1293-1313 (2018) - [j74]Xiancheng Li, Wenge Rong, Haoran Shi, Jie Tang, Zhang Xiong:
The impact of conference ranking systems in computer science: a comparative regression analysis. Scientometrics 116(2): 879-907 (2018) - [j73]Xiaotao Gu, Hong Yang, Jie Tang, Jing Zhang, Fanjin Zhang, Debing Liu, Wendy Hall, Xiao Fu:
Profiling Web users using big data. Social Netw. Analys. Mining 8(1): 24 (2018) - [j72]Yang Yang, Jie Tang, Juanzi Li:
Learning to Infer Competitive Relationships in Heterogeneous Networks. ACM Trans. Knowl. Discov. Data 12(1): 12:1-12:23 (2018) - [j71]Hong Huang, Yuxiao Dong, Jie Tang, Hongxia Yang, Nitesh V. Chawla, Xiaoming Fu:
Will Triadic Closure Strengthen Ties in Social Networks? ACM Trans. Knowl. Discov. Data 12(3): 30:1-30:25 (2018) - [j70]Tian Qin, Wufan Shangguan, Guojie Song, Jie Tang:
Spatio-Temporal Routine Mining on Mobile Phone Data. ACM Trans. Knowl. Discov. Data 12(5): 56:1-56:24 (2018) - [c200]Fang Zhang, Xiaochen Wang, Jingfei Han, Jie Tang, Shiyin Wang:
Fast Top-k Area Topics Extraction with Knowledge Base. DSC 2018: 45-52 - [c199]Chaoyang Li, Zhengyang Song, Jie Tang:
User Tagging in MOOCs Through Network Embedding. DSC 2018: 235-241 - [c198]Xiaochen Wang, Wenzheng Feng, Jie Tang, Qingyang Zhong:
Course Concept Extraction in MOOC via Explicit/Implicit Representation. DSC 2018: 339-345 - [c197]Jingfei Han, Wenge Rong, Fang Zhang, Yutao Zhang, Jie Tang, Zhang Xiong:
Interactive Area Topics Extraction with Policy Gradient. ICANN (3) 2018: 84-93 - [c196]Tiancheng Shen, Jia Jia, Guangyao Shen, Fuli Feng, Xiangnan He, Huanbo Luan, Jie Tang, Thanassis Tiropanis, Tat-Seng Chua, Wendy Hall:
Cross-Domain Depression Detection via Harvesting Social Media. IJCAI 2018: 1611-1617 - [c195]Kan Wu, Jie Tang, Chenhui Zhang:
Where Have You Been? Inferring Career Trajectory from Academic Social Network. IJCAI 2018: 3592-3598 - [c194]Yujie Qian, Jie Tang, Kan Wu:
Weakly Learning to Match Experts in Online Community. IJCAI 2018: 3841-3847 - [c193]Yutao Zhang, Fanjin Zhang, Peiran Yao, Jie Tang:
Name Disambiguation in AMiner: Clustering, Maintenance, and Human in the Loop. KDD 2018: 1002-1011 - [c192]Jiezhong Qiu, Jian Tang, Hao Ma, Yuxiao Dong, Kuansan Wang, Jie Tang:
DeepInf: Social Influence Prediction with Deep Learning. KDD 2018: 2110-2119 - [c191]Yi Qi, Qingyun Wu, Hongning Wang, Jie Tang, Maosong Sun:
Bandit Learning with Implicit Feedback. NeurIPS 2018: 7287-7297 - [c190]Zhengxiao Du, Jie Tang, Yuhui Ding:
POLAR: Attention-Based CNN for One-Shot Personalized Article Recommendation. ECML/PKDD (2) 2018: 675-690 - [c189]Golnoosh Farnadi, Jie Tang, Martine De Cock, Marie-Francine Moens:
User Profiling through Deep Multimodal Fusion. WSDM 2018: 171-179 - [c188]Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Kuansan Wang, Jie Tang:
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec. WSDM 2018: 459-467 - [c187]Jie Tang, Michalis Vazirgiannis, Yuxiao Dong, Fragkiskos D. Malliaros, Michael Cochez, Mayank Kejriwal, Achim Rettinger:
BigNet 2018 Chairs' Welcome & Organization. WWW (Companion Volume) 2018: 943-944 - [i27]Sha Yuan, Yu Zhang, Jie Tang, Juan Bautista Cabotà:
Expert Finding in Community Question Answering: A Review. CoRR abs/1804.07958 (2018) - [i26]Jie Zhang, Yan Wang, Jie Tang, Ming Ding:
Spectral Network Embedding: A Fast and Scalable Method via Sparsity. CoRR abs/1806.02623 (2018) - [i25]Yuxiao Dong, Hao Ma, Jie Tang, Kuansan Wang:
Collaboration Diversity and Scientific Impact. CoRR abs/1806.03694 (2018) - [i24]Jiezhong Qiu, Jian Tang, Hao Ma, Yuxiao Dong, Kuansan Wang, Jie Tang:
DeepInf: Social Influence Prediction with Deep Learning. CoRR abs/1807.05560 (2018) - [i23]Sha Yuan, Yu Zhang, Jie Tang, Huawei Shen, Xingxing Wei:
Modeling and Predicting Popularity Dynamics via Deep Learning Attention Mechanism. CoRR abs/1811.02117 (2018) - [i22]Sha Yuan, Jie Tang, Yu Zhang, Yifan Wang, Tong Xiao:
Modeling and Predicting Citation Count via Recurrent Neural Network with Long Short-Term Memory. CoRR abs/1811.02129 (2018) - [i21]Xi Chen, Jie Tang, Yizhou Sun:
Modeling Personalized Dynamics of Social Network and Opinion at Individual Level. CoRR abs/1811.02791 (2018) - 2017
- [j69]Jie Tang, Hanghang Tong, Michalis Vazirgiannis:
Special focus on natural language processing and social computing. Sci. China Inf. Sci. 60(11): 110100:1-110100:2 (2017) - [j68]Daifeng Li, Zhipeng Luo, Ying Ding, Jie Tang, Gordon Guo-Zheng Sun, Xiaowen Dai, John Du, Jingwei Zhang, Shoubin Kong:
User-level microblogging recommendation incorporating social influence. J. Assoc. Inf. Sci. Technol. 68(3): 553-568 (2017) - [j67]Tehmina Amjad, Ying Ding, Jian Xu, Chenwei Zhang, Ali Daud, Jie Tang, Min Song:
Standing on the shoulders of giants. J. Informetrics 11(1): 307-323 (2017) - [j66]Yifan Qian, Wenge Rong, Nan Jiang, Jie Tang, Zhang Xiong:
Citation regression analysis of computer science publications in different ranking categories and subfields. Scientometrics 110(3): 1351-1374 (2017) - [j65]Yu-Ru Lin, Hanghang Tong, Jie Tang, K. Selçuk Candan:
Guest Editorial: Big Scholar Data Discovery and Collaboration. IEEE Trans. Big Data 3(1): 2 (2017) - [j64]Ronald Burt, Jie Tang, Michalis Vazirgiannis, Shuang Yang:
Introduction to Special Issue on Social Media Processing (TIST-SMP). ACM Trans. Intell. Syst. Technol. 8(6): 76:1-76:2 (2017) - [j63]Guojie Song, Yuanhao Li, Xiaodong Chen, Xinran He, Jie Tang:
Influential Node Tracking on Dynamic Social Network: An Interchange Greedy Approach. IEEE Trans. Knowl. Data Eng. 29(2): 359-372 (2017) - [j62]Huijie Lin, Jia Jia, Jiezhong Qiu, Yongfeng Zhang, Guangyao Shen, Lexing Xie, Jie Tang, Ling Feng, Tat-Seng Chua:
Detecting Stress Based on Social Interactions in Social Networks. IEEE Trans. Knowl. Data Eng. 29(9): 1820-1833 (2017) - [j61]Boya Wu, Jia Jia, Yang Yang, Peijun Zhao, Jie Tang, Qi Tian:
Inferring Emotional Tags From Social Images With User Demographics. IEEE Trans. Multimedia 19(7): 1670-1684 (2017) - [j60]Yuxiao Dong, Nitesh V. Chawla, Jie Tang, Yang Yang, Yang Yang:
User Modeling on Demographic Attributes in Big Mobile Social Networks. ACM Trans. Inf. Syst. 35(4): 35:1-35:33 (2017) - [j59]Lei Hou, Juanzi Li, Xiaoli Li, Jie Tang, Xiaofei Guo:
Learning to Align Comments to News Topics. ACM Trans. Inf. Syst. 36(1): 9:1-9:31 (2017) - [j58]Jing Zhang, Jie Tang, Cong Ma, Hanghang Tong, Yu Jing, Juanzi Li, Walter Luyten, Marie-Francine Moens:
Fast and Flexible Top-k Similarity Search on Large Networks. ACM Trans. Inf. Syst. 36(2): 13:1-13:30 (2017) - [c186]Jing Zhang, Jie Tang, Yuanyi Zhong, Yuchen Mo, Juanzi Li, Guojie Song, Wendy Hall, Jimeng Sun:
StructInf: Mining Structural Influence from Social Streams. AAAI 2017: 73-80 - [c185]Jie Tang, Wendy Hall:
Cross-Domain Ranking via Latent Space Learning. AAAI 2017: 2618-2624 - [c184]Yikang Shen, Wenge Rong, Nan Jiang, Baolin Peng, Jie Tang, Zhang Xiong:
Word Embedding Based Correlation Model for Question/Answer Matching. AAAI 2017: 3511-3517 - [c183]Liangming Pan, Chengjiang Li, Juanzi Li, Jie Tang:
Prerequisite Relation Learning for Concepts in MOOCs. ACL (1) 2017: 1447-1456 - [c182]Daizong Ding, Mi Zhang, Shao-Yuan Li, Jie Tang, Xiaotie Chen, Zhi-Hua Zhou:
BayDNN: Friend Recommendation with Bayesian Personalized Ranking Deep Neural Network. CIKM 2017: 1479-1488 - [c181]Jie Tang:
Can AI help MOOCs? EDM 2017 - [c180]Si Zhang, Hanghang Tong, Jie Tang, Jiejun Xu, Wei Fan:
iNEAT: Incomplete Network Alignment. ICDM 2017: 1189-1194 - [c179]Yu Han, Jie Tang:
Who to Invite Next? Predicting Invitees of Social Groups. IJCAI 2017: 3714-3720 - [c178]Liangming Pan, Xiaochen Wang, Chengjiang Li, Juanzi Li, Jie Tang:
Course Concept Extraction in MOOCs via Embedding-Based Graph Propagation. IJCNLP(1) 2017: 875-884 - [c177]Yutao Zhang, Robert Chen, Jie Tang, Walter F. Stewart, Jimeng Sun:
LEAP: Learning to Prescribe Effective and Safe Treatment Combinations for Multimorbidity. KDD 2017: 1315-1324 - [c176]Xia Jing, Jie Tang:
Guess you like: course recommendation in MOOCs. WI 2017: 783-789 - [c175]Chi Chen, Hongliang Tian, Jie Tang, Chunxiao Xing:
When Will a Repost Cascade Settle Down? WISE (1) 2017: 165-179 - [c174]Han Zhang, Maosong Sun, Xiaochen Wang, Zhengyang Song, Jie Tang, Jimeng Sun:
Smart Jump: Automated Navigation Suggestion for Videos in MOOCs. WWW (Companion Volume) 2017: 331-339 - [c173]Jie Tang:
Computational Models for Social Network Analysis: A Brief Survey. WWW (Companion Volume) 2017: 921-925 - [e12]Marcelo G. Armentano, Jie Tang, Virginia Yannibelli:
Proceedings of the 3rd International Workshop on Social Influence Analysis co-located with 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne, Australia, August 19, 2017. CEUR Workshop Proceedings 1893, CEUR-WS.org 2017 [contents] - [i20]Yujie Qian, Jie Tang, Zhilin Yang, Binxuan Huang, Wei Wei, Kathleen M. Carley:
A Probabilistic Framework for Location Inference from Social Media. CoRR abs/1702.07281 (2017) - [i19]Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Kuansan Wang, Jie Tang:
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec. CoRR abs/1710.02971 (2017) - [i18]Fang Zhang, Xiaochen Wang, Jingfei Han, Jie Tang, Shiyin Wang:
Fast Top-k Area Topics Extraction with Knowledge Base. CoRR abs/1710.04822 (2017) - [i17]Yuan Yuan, Tracy Xiao Liu, Chenhao Tan, Jie Tang:
Online Red Packets: A Large-scale Empirical Study of Gift Giving on WeChat. CoRR abs/1712.02926 (2017) - 2016
- [j57]Li Liu, Dandan Song, Jie Tang, Lejian Liao, Xin Li, Jianguang Du:
FriendBurst: Ranking people who get friends fast in a short time. Neurocomputing 210: 116-129 (2016) - [j56]Yiwen Zhang, Guangming Cui, Shu Zhao, Jie Tang:
IFOA4WSC: a quick and effective algorithm for QoS-aware servicecomposition. IJWGS 12(1): 81-108 (2016) - [j55]Huaiyu Wan, Marie-Francine Moens, Walter Luyten, Xuezhong Zhou, Qiaozhu Mei, Lu Liu, Jie Tang:
Extracting relations from traditional Chinese medicine literature via heterogeneous entity networks. J. Am. Medical Informatics Assoc. 23(2): 356-365 (2016) - [j54]Shu Zhao, Qing Cao, Jie Chen, Yanping Zhang, Jie Tang, Zhen Duan:
A multi-ATL method for transfer learning across multiple domains with arbitrarily different distribution. Knowl. Based Syst. 94: 60-69 (2016) - [j53]Yu-Ru Lin, Hanghang Tong, Jie Tang, K. Selçuk Candan:
Guest Editorial: Big Scholar Data Discovery and Collaboration. IEEE Trans. Big Data 2(1): 1-2 (2016) - [j52]Yu-Ru Lin, Hanghang Tong, Jie Tang, K. Selçuk Candan:
Guest Editorial: Special Issue on Big Scholar Data Discovery and Collaboration (Continued). IEEE Trans. Big Data 2(2): 100 (2016) - [j51]Zhiyuan Wang, Yun Zhou, Jie Tang, Jarder Luo:
The Prediction of Venture Capital Co-Investment Based on Structural Balance Theory. IEEE Trans. Knowl. Data Eng. 28(2): 537-550 (2016) - [j50]Jie Tang, Tiancheng Lou, Jon M. Kleinberg, Sen Wu:
Transfer Learning to Infer Social Ties across Heterogeneous Networks. ACM Trans. Inf. Syst. 34(2): 7:1-7:43 (2016) - [c172]Yang Yang, Jia Jia, Boya Wu, Jie Tang:
Social Role-Aware Emotion Contagion in Image Social Networks. AAAI 2016: 65-71 - [c171]Jie Zhang, Jiaqi Ma, Jie Tang:
Learning cascaded influence under partial monitoring. ASONAM 2016: 255-262 - [c170]Xiaotao Gu, Hong Yang, Jie Tang, Jing Zhang:
Web user profiling using data redundancy. ASONAM 2016: 358-365 - [c169]Chenhui Zhang, Sida Gao, Jie Tang, Tracy Xiao Liu, Zhanpeng Fang, Xu Cheng:
Learning triadic influence in large social networks. ASONAM 2016: 1380-1381 - [c168]Yuan Yuan, Sihong Xie, Chun-Ta Lu, Jie Tang, Philip S. Yu:
Interpretable and effective opinion spam detection via temporal patterns mining across websites. BigData 2016: 96-105 - [c167]Zhigang Wang, Liangming Pan, Juanzi Li, Shuangjie Li, Mingyang Li, Jie Tang:
Boosting to Build a Large-Scale Cross-Lingual Ontology. CCKS 2016: 41-53 - [c166]Jie Tang, Keke Cai, Zhong Su, Hanghang Tong, Michalis Vazirgiannis, Yang Yang:
BigNet 2016: First Workshop on Big Network Analytics. CIKM 2016: 2505-2506 - [c165]