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ORCIDFeida Zhu 0001
Person information
- affiliation: Singapore Management University, School of Information Systems
Other persons with the same name
- Feida Zhu 0002
![[0000-0002-7533-1870]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-7533-1870")
— University of Hong Kong, Department of Computer Science - Feida Zhu 0003 — Nanyang Technological University, Singapore
- Feida Zhu 0004 — Central South University, School of Basic Medicine Science, Changsha, China
- Feida Zhu 0005 — ByteDance
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2020 – today
- 2024
[j30]Bin Yang, Feida Zhu, Wei Wei:
Editorial: DSAA 2023 journal track on theoretical and practical data science and analytics. Int. J. Data Sci. Anal. 18(4): 351-352 (2024)- [j29]Ling Cheng, Feida Zhu, Yong Wang, Ruicheng Liang, Huiwen Liu:
From Asset Flow to Status, Action, and Intention Discovery: Early Malice Detection in Cryptocurrency. ACM Trans. Knowl. Discov. Data 18(3): 50:1-50:27 (2024) - [j28]Xin Mu, Ming Pang, Feida Zhu:
Data Provenance via Differential Auditing. IEEE Trans. Knowl. Data Eng. 36(10): 5066-5079 (2024) - [c95]Dennis Song, Yuping Yan, George Shao, Feida Zhu, Mason Song:
A Security Analysis of a Deterministic Key Generation Scheme. CSR 2024: 309-314 - [c94]Feida Zhu, Jian Pei, Michael Zeller, Bingxue Zhang:
The Fourth International Workshop on Smart Data for Blockchain and Distributed Ledger (SDBD'24). KDD 2024: 6757-6758 - [c93]Ding Zou, Wei Wei, Feida Zhu, Chuanyu Xu, Tao Zhang, Chengfu Huo:
Knowledge Enhanced Multi-intent Transformer Network for Recommendation. WWW (Companion Volume) 2024: 1-9 - [i22]Ding Zou, Wei Wei, Feida Zhu, Chuanyu Xu, Tao Zhang, Chengfu Huo:
Knowledge Enhanced Multi-intent Transformer Network for Recommendation. CoRR abs/2405.20565 (2024) - 2023
- [j27]Zezhi Shao, Yongjun Xu, Wei Wei, Fei Wang, Zhao Zhang, Feida Zhu:
Heterogeneous Graph Neural Network With Multi-View Representation Learning. IEEE Trans. Knowl. Data Eng. 35(11): 11476-11488 (2023) - [j26]Kunpeng Ren, Nhut-Minh Ho, Dumitrel Loghin, Thanh-Toan Nguyen, Beng Chin Ooi, Quang-Trung Ta, Feida Zhu:
Interoperability in Blockchain: A Survey. IEEE Trans. Knowl. Data Eng. 35(12): 12750-12769 (2023) - [c92]Xiaolin Wen, Kim Siang Yeo, Yong Wang, Ling Cheng, Feida Zhu, Min Zhu:
Code Will Tell: Visual Identification of Ponzi Schemes on Ethereum. CHI Extended Abstracts 2023: 70:1-70:6 - [c91]Xiaolin Wen, Yong Wang, Xuanwu Yue, Feida Zhu, Min Zhu:
NFTDisk: Visual Detection of Wash Trading in NFT Markets. CHI 2023: 215:1-215:15 - [c90]Ling Cheng, Feida Zhu, Yong Wang, Ruicheng Liang, Huiwen Liu:
Evolve Path Tracer: Early Detection of Malicious Addresses in Cryptocurrency. KDD 2023: 3889-3900 - [c89]Sen Zhao, Wei Wei, Xian-Ling Mao, Shuai Zhu, Minghui Yang, Zujie Wen, Dangyang Chen, Feida Zhu:
Multi-view Hypergraph Contrastive Policy Learning for Conversational Recommendation. SIGIR 2023: 654-664 - [c88]Ling Cheng, Feida Zhu, Yong Wang, Ruicheng Liang, Huiwen Liu:
Toward Intention Discovery for Early Malice Detection in Cryptocurrency. SMC 2023: 1846-1847 - [i21]Ling Cheng, Feida Zhu, Yong Wang, Ruicheng Liang, Huiwen Liu:
Evolve Path Tracer: Early Detection of Malicious Addresses in Cryptocurrency. CoRR abs/2301.05412 (2023) - [i20]Xiaolin Wen, Yong Wang, Xuanwu Yue, Feida Zhu, Min Zhu:
NFTDisk: Visual Detection of Wash Trading in NFT Markets. CoRR abs/2302.05863 (2023) - [i19]Xiaolin Wen, Kim Siang Yeo, Yong Wang, Ling Cheng, Feida Zhu, Min Zhu:
Code Will Tell: Visual Identification of Ponzi Schemes on Ethereum. CoRR abs/2303.07657 (2023) - [i18]Sen Zhao, Wei Wei, Xian-Ling Mao, Shuai Zhu, Minghui Yang, Zujie Wen, Dangyang Chen, Feida Zhu:
Multi-view Hypergraph Contrastive Policy Learning for Conversational Recommendation. CoRR abs/2307.14024 (2023) - [i17]Ling Cheng, Feida Zhu, Yong Wang, Ruicheng Liang, Huiwen Liu:
From Asset Flow to Status, Action and Intention Discovery: Early Malice Detection in Cryptocurrency. CoRR abs/2309.15133 (2023) - 2022
- [j25]Zicun Cong, Xuan Luo, Jian Pei, Feida Zhu, Yong Zhang:
Data pricing in machine learning pipelines. Knowl. Inf. Syst. 64(6): 1417-1455 (2022) - [c87]Sein Minn, Jill-Jênn Vie, Koh Takeuchi, Hisashi Kashima, Feida Zhu:
Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations. AAAI 2022: 12810-12818 - [c86]Ding Zou, Wei Wei, Ziyang Wang, Xian-Ling Mao, Feida Zhu, Rui Fang, Dangyang Chen:
Improving Knowledge-aware Recommendation with Multi-level Interactive Contrastive Learning. CIKM 2022: 2817-2826 - [c85]Yuhang Liu, Wei Wei, Daowan Peng, Feida Zhu:
Declaration-based Prompt Tuning for Visual Question Answering. IJCAI 2022: 3264-3270 - [c84]Weiran Pan, Wei Wei, Feida Zhu:
Automatic Noisy Label Correction for Fine-Grained Entity Typing. IJCAI 2022: 4317-4323 - [c83]Ding Zou, Wei Wei, Xian-Ling Mao, Ziyang Wang, Minghui Qiu, Feida Zhu, Xin Cao:
Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System. SIGIR 2022: 1358-1368 - [i16]Ding Zou, Wei Wei, Xian-Ling Mao, Ziyang Wang, Minghui Qiu, Feida Zhu, Xin Cao:
Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System. CoRR abs/2204.08807 (2022) - [i15]Yuhang Liu, Wei Wei, Daowan Peng, Feida Zhu:
Declaration-based Prompt Tuning for Visual Question Answering. CoRR abs/2205.02456 (2022) - [i14]Weiran Pan, Wei Wei, Feida Zhu:
Automatic Noisy Label Correction for Fine-Grained Entity Typing. CoRR abs/2205.03011 (2022) - [i13]Ding Zou, Wei Wei, Ziyang Wang, Xian-Ling Mao, Feida Zhu, Rui Fang, Dangyang Chen:
Improving Knowledge-aware Recommendation with Multi-level Interactive Contrastive Learning. CoRR abs/2208.10061 (2022) - [i12]Xin Mu, Ming Pang, Feida Zhu:
Data Provenance via Differential Auditing. CoRR abs/2209.01538 (2022) - [i11]Ling Cheng, Feida Zhu, Yong Wang, Huiwen Liu:
Toward Intention Discovery for Early Malice Detection in Bitcoin. CoRR abs/2209.12001 (2022) - 2021
- [j24]Wei Wei, Jiayi Liu, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou, Yuchong Hu, Shanshan Feng:
Target-guided Emotion-aware Chat Machine. ACM Trans. Inf. Syst. 39(4): 43:1-43:24 (2021) - [c82]Jian Pei, Feida Zhu, Zicun Cong, Xuan Luo, Huiwen Liu, Xin Mu:
Data Pricing and Data Asset Governance in the AI Era. KDD 2021: 4058-4059 - [c81]Feida Zhu, Jian Pei:
The Third International Workshop on Smart Data for Blockchain and Distributed Ledger (SDBD2021): Joint Workshop with SIGKDD 2021 Trust Day. KDD 2021: 4185-4186 - [i10]Ling Cheng, Feida Zhu, Huiwen Liu, Chunyan Miao:
On Decentralization of Bitcoin: An Asset Perspective. CoRR abs/2105.07646 (2021) - [i9]Wei Wei, Jiayi Liu, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou, Yuchong Hu:
Emotion-aware Chat Machine: Automatic Emotional Response Generation for Human-like Emotional Interaction. CoRR abs/2106.03044 (2021) - [i8]Zicun Cong, Xuan Luo, Jian Pei, Feida Zhu, Yong Zhang:
Data Pricing in Machine Learning Pipelines. CoRR abs/2108.07915 (2021) - [i7]Zezhi Shao, Yongjun Xu, Wei Wei, Fei Wang, Zhao Zhang, Feida Zhu:
Heterogeneous Graph Neural Network with Multi-view Representation Learning. CoRR abs/2108.13650 (2021) - [i6]Ling Cheng, Wei Wei, Feida Zhu, Yong Liu, Chunyan Miao:
Geometry-Entangled Visual Semantic Transformer for Image Captioning. CoRR abs/2109.14137 (2021) - [i5]Sein Minn, Jill-Jênn Vie, Koh Takeuchi, Hisashi Kashima, Feida Zhu:
Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations. CoRR abs/2112.11209 (2021) - 2020
- [j23]Biao Chang, Enhong Chen, Feida Zhu, Qi Liu, Tong Xu, Zhefeng Wang:
Maximum a Posteriori Estimation for Information Source Detection. IEEE Trans. Syst. Man Cybern. Syst. 50(6): 2242-2256 (2020) - [j22]Yuan Li, Guoren Wang, Yuhai Zhao, Feida Zhu, Yubao Wu:
Towards k-vertex connected component discovery from large networks. World Wide Web 23(2): 799-830 (2020) - [c80]Yan Zhao, Kai Zheng, Yue Cui, Han Su, Feida Zhu, Xiaofang Zhou:
Predictive Task Assignment in Spatial Crowdsourcing: A Data-driven Approach. ICDE 2020: 13-24 - [c79]Tao Zhou, Ee-Peng Lim, Roy Ka-Wei Lee, Feida Zhu, Jiuxin Cao:
Retrofitting Embeddings for Unsupervised User Identity Linkage. PAKDD (1) 2020: 385-397 - [i4]Wei Wei, Jiayi Liu, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou, Yuchong Hu, Shanshan Feng:
Target Guided Emotion Aware Chat Machine. CoRR abs/2011.07432 (2020)
2010 – 2019
- 2019
- [j21]Yuliang Ma, Ye Yuan, Feida Zhu, Guoren Wang, Jing Xiao, Jianzong Wang:
Who Should Be Invited to My Party: A Size-Constrained k-Core Problem in Social Networks. J. Comput. Sci. Technol. 34(1): 170-184 (2019) - [c78]Himanshu Aggarwal, Rajiv Ratn Shah, Suhua Tang, Feida Zhu:
Supervised Generative Adversarial Cross-Modal Hashing by Transferring Pairwise Similarities for Venue Discovery. BigMM 2019: 321-330 - [c77]Wei Wei, Jiayi Liu, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou, Yuchong Hu:
Emotion-aware Chat Machine: Automatic Emotional Response Generation for Human-like Emotional Interaction. CIKM 2019: 1401-1410 - [c76]Xin Mu, Wei Xie, Roy Ka-Wei Lee, Feida Zhu, Ee-Peng Lim:
AD-Link: An Adaptive Approach for User Identity Linkage. ICBK 2019: 183-190 - [c75]Sein Minn, Michel C. Desmarais, Feida Zhu, Jing Xiao, Jianzong Wang:
Dynamic Student Classiffication on Memory Networks for Knowledge Tracing. PAKDD (2) 2019: 163-174 - [i3]Wei Xie, Xin Mu, Roy Ka-Wei Lee, Feida Zhu, Ee-Peng Lim:
Unsupervised User Identity Linkage via Factoid Embedding. CoRR abs/1901.06648 (2019) - [i2]Wei Wei, Ling Cheng, Xianling Mao, Guangyou Zhou, Feida Zhu:
Stack-VS: Stacked Visual-Semantic Attention for Image Caption Generation. CoRR abs/1909.02489 (2019) - 2018
- [j20]Donghong Han, Shuoru Li, Fulin Wei, Yuying Tang, Feida Zhu, Guoren Wang:
Two birds with one stone: Classifying positive and unlabeled examples on uncertain data streams. Neurocomputing 277: 149-160 (2018) - [j19]Guibing Guo, Feida Zhu, Shilin Qu, Xingwei Wang:
PCCF: Periodic and continual temporal co-factorization for recommender systems. Inf. Sci. 436-437: 56-73 (2018) - [j18]Wei Xie, Feida Zhu, Jing Xiao, Jianzong Wang:
Social Network Monitoring for Bursty Cascade Detection. ACM Trans. Knowl. Discov. Data 12(4): 40:1-40:24 (2018) - [c74]Sein Minn, Yi Yu, Michel C. Desmarais, Feida Zhu, Jill-Jênn Vie:
Deep Knowledge Tracing and Dynamic Student Classification for Knowledge Tracing. ICDM 2018: 1182-1187 - [c73]Wei Xie, Xin Mu, Roy Ka-Wei Lee, Feida Zhu, Ee-Peng Lim:
Unsupervised User Identity Linkage via Factoid Embedding. ICDM 2018: 1338-1343 - [c72]Sein Minn, Feida Zhu, Michel C. Desmarais:
Improving Knowledge Tracing Model by Integrating Problem Difficulty. ICDM Workshops 2018: 1505-1506 - [c71]Xin Mu, Feida Zhu, Yue Liu, Ee-Peng Lim, Zhi-Hua Zhou:
Social Stream Classification with Emerging New Labels. PAKDD (1) 2018: 16-28 - [c70]Felicia Natali, Feida Zhu:
Offline Versus Online: A Meaningful Categorization of Ties for Retweets. SocInfo (1) 2018: 386-402 - [c69]Hongchao Qin, Ye Yuan, Feida Zhu, Guoren Wang:
Group Identity Matching Across Heterogeneous Social Networks. WISE (1) 2018: 230-246 - [c68]Feida Zhu, Yongfeng Zhang, Neil Yorke-Smith, Guibing Guo, Xu Chen:
IFUP: Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization. WSDM 2018: 804-805 - [e3]Hanghang Tong, Zhenhui Jessie Li, Feida Zhu, Jeffrey Yu:
2018 IEEE International Conference on Data Mining Workshops, ICDM Workshops, Singapore, Singapore, November 17-20, 2018. IEEE 2018, ISBN 978-1-5386-9288-2 [contents] - [i1]Sein Minn, Yi Yu, Michel C. Desmarais, Feida Zhu, Jill-Jênn Vie:
Deep Knowledge Tracing and Dynamic Student Classification for Knowledge Tracing. CoRR abs/1809.08713 (2018) - 2017
- [j17]Guozhong Dong, Wu Yang, Feida Zhu, Wei Wang:
Discovering burst patterns of burst topic in twitter. Comput. Electr. Eng. 58: 551-559 (2017) - [j16]Wendi Ji, Xiaoling Wang, Feida Zhu:
Time-aware conversion prediction. Frontiers Comput. Sci. 11(4): 702-716 (2017) - [j15]Guibing Guo, Jie Zhang, Feida Zhu, Xingwei Wang:
Factored similarity models with social trust for top-N item recommendation. Knowl. Based Syst. 122: 17-25 (2017) - [c67]Xin Mu, Feida Zhu, Juan Du, Ee-Peng Lim, Zhi-Hua Zhou:
Streaming Classification with Emerging New Class by Class Matrix Sketching. AAAI 2017: 2373-2379 - [c66]Felicia Natali, Kathleen M. Carley, Feida Zhu, Binxuan Huang:
The Role of Different Tie Strength in Disseminating Different Topics on a Microblog. ASONAM 2017: 203-207 - [c65]Yuan Li, Yuhai Zhao, Guoren Wang, Feida Zhu, Yubao Wu, Shengle Shi:
Effective k-Vertex Connected Component Detection in Large-Scale Networks. DASFAA (2) 2017: 404-421 - 2016
- [j14]Wei Wei, Zhaoyan Ming, Liqiang Nie, Guohui Li, Jianjun Li, Feida Zhu, Tianfeng Shang, Changyin Luo:
Exploring heterogeneous features for query-focused summarization of categorized community answers. Inf. Sci. 330: 403-423 (2016) - [j13]Wei Wei, Gao Cong, Chunyan Miao, Feida Zhu, Guohui Li:
Learning to Find Topic Experts in Twitter via Different Relations. IEEE Trans. Knowl. Data Eng. 28(7): 1764-1778 (2016) - [j12]Wei Xie, Feida Zhu, Jing Jiang, Ee-Peng Lim, Ke Wang:
TopicSketch: Real-Time Bursty Topic Detection from Twitter. IEEE Trans. Knowl. Data Eng. 28(8): 2216-2229 (2016) - [j11]Qiang Qu, Siyuan Liu, Feida Zhu, Christian S. Jensen:
Efficient Online Summarization of Large-Scale Dynamic Networks. IEEE Trans. Knowl. Data Eng. 28(12): 3231-3245 (2016) - [j10]Guangming Guo, Feida Zhu, Enhong Chen, Qi Liu, Le Wu, Chu Guan:
From Footprint to Evidence: An Exploratory Study of Mining Social Data for Credit Scoring. ACM Trans. Web 10(4): 22:1-22:38 (2016) - [c64]Yunshi Lan, Mengqi Zhang, Feida Zhu, Jing Jiang, Ee-Peng Lim:
When a Friend Online is More Than a Friend in Life: Intimate Relationship Prediction in Microblogs. APWeb (1) 2016: 196-207 - [c63]Guozhong Dong, Wu Yang, Feida Zhu, Wei Wang:
Detecting Community Pacemakers of Burst Topic in Twitter. APWeb (1) 2016: 245-255 - [c62]Hongchao Qin, Ye Yuan, Feida Zhu, Guoren Wang:
Efficient Community Maintenance for Dynamic Social Networks. APWeb (2) 2016: 478-482 - [c61]Wei Chen, Feida Zhu, Lei Zhao, Xiaofang Zhou:
When Peculiarity Makes a Difference: Object Characterisation in Heterogeneous Information Networks. DASFAA (2) 2016: 3-17 - [c60]Youngsoo Kim, Felicia Natali, Feida Zhu, Ee-Peng Lim:
Investigating the Influence of Offline Friendship on Twitter Networking Behaviors. HICSS 2016: 736-745 - [c59]Hongwei Liang, Ke Wang, Feida Zhu:
Mining social ties beyond homophily. ICDE 2016: 421-432 - [c58]Wei Gong, Ee-Peng Lim, Feida Zhu, Pei Hua Cher:
On Unravelling Opinions of Issue Specific-Silent Users in Social Media. ICWSM 2016: 141-150 - [c57]Xin Mu, Feida Zhu, Ee-Peng Lim, Jing Xiao, Jianzong Wang, Zhi-Hua Zhou:
User Identity Linkage by Latent User Space Modelling. KDD 2016: 1775-1784 - [c56]Wei Gong, Ee-Peng Lim, Feida Zhu:
Posting Topics \ne ≠ Reading Topics: On Discovering Posting and Reading Topics in Social Media. NetSci-X 2016: 14-28 - [c55]Felicia Natali, Feida Zhu:
A Comparison of Fundamental Network Formation Principles Between Offline and Online Friends on Twitter. NetSci-X 2016: 169-177 - [c54]Guangming Guo, Feida Zhu, Enhong Chen, Le Wu, Qi Liu, Yingling Liu, Minghui Qiu:
Personal Credit Profiling via Latent User Behavior Dimensions on Social Media. PAKDD (2) 2016: 130-142 - 2015
- [j9]Hanbo Dai, Feida Zhu, Ee-Peng Lim, HweeHwa Pang:
Detecting anomaly collections using extreme feature ranks. Data Min. Knowl. Discov. 29(3): 689-731 (2015) - [j8]Siyuan Liu, Shuhui Wang, Feida Zhu:
Structured Learning from Heterogeneous Behavior for Social Identity Linkage. IEEE Trans. Knowl. Data Eng. 27(7): 2005-2019 (2015) - [c53]Wei Xie, Feida Zhu, Siyuan Liu, Ke Wang:
Modelling cascades over time in microblogs. IEEE BigData 2015: 677-686 - [c52]Jinbo Zhang, Sourav S. Bhowmick, Hong H. Nguyen, Byron Choi, Feida Zhu:
DaVinci: Data-driven visual interface construction for subgraph search in graph databases. ICDE 2015: 1500-1503 - [c51]Biao Chang, Feida Zhu, Enhong Chen, Qi Liu:
Information Source Detection via Maximum A Posteriori Estimation. ICDM 2015: 21-30 - [c50]Ming Gao, Ee-Peng Lim, David Lo, Feida Zhu, Philips Kokoh Prasetyo, Aoying Zhou:
CNL: Collective Network Linkage Across Heterogeneous Social Platforms. ICDM 2015: 757-762 - [c49]Wei Gong, Ee-Peng Lim, Feida Zhu:
Characterizing Silent Users in Social Media Communities. ICWSM 2015: 140-149 - [c48]Chen Jason Zhang, Rui Meng, Lei Chen, Feida Zhu:
CrowdLink: An Error-Tolerant Model for Linking Complex Records. ExploreDB@SIGMOD/PODS 2015: 15-20 - [p4]Yew-Yih Cheng, Roy Ka-Wei Lee, Ee-Peng Lim, Feida Zhu:
Measuring Centralities for Transportation Networks Beyond Structures. Applications of Social Media and Social Network Analysis 2015: 23-39 - 2014
- [j7]Richard Jayadi Oentaryo, Ee-Peng Lim, Michael Finegold, David Lo, Feida Zhu, Clifton Phua, Eng-Yeow Cheu, Ghim-Eng Yap, Kelvin Sim, Minh Nhut Nguyen, Kasun S. Perera, Bijay Neupane, Mustafa Amir Faisal, Zeyar Aung, Wei Lee Woon, Wei Chen, Dhaval Patel, Daniel Berrar:
Detecting click fraud in online advertising: a data mining approach. J. Mach. Learn. Res. 15(1): 99-140 (2014) - [j6]Runquan Xie, Feida Zhu, Hui Ma, Wei Xie, Chen Lin:
CLEar: A Real-time Online Observatory for Bursty and Viral Events. Proc. VLDB Endow. 7(13): 1637-1640 (2014) - [c47]Guangming Guo, Lei Zhang, Qi Liu, Enhong Chen, Feida Zhu, Chu Guan:
High Utility Episode Mining Made Practical and Fast. ADMA 2014: 71-84 - [c46]Fangshuang Tang, Qi Liu, Hengshu Zhu, Enhong Chen, Feida Zhu:
Diversified social influence maximization. ASONAM 2014: 455-459 - [c45]Jing Ren, Zhiyong Cheng, Jialie Shen, Feida Zhu:
Influences of Influential Users: An Empirical Study of Music Social Network. ICIMCS 2014: 411 - [c44]Feida Zhu, Huan Sun, Xifeng Yan:
Network mining and analysis for social applications. KDD 2014: 1974 - [c43]Swapna Gottipati, Minghui Qiu, Liu Yang, Feida Zhu, Jing Jiang:
An Integrated Model for User Attribute Discovery: A Case Study on Political Affiliation Identification. PAKDD (1) 2014: 434-446 - [c42]Qiang Qu, Siyuan Liu, Christian S. Jensen, Feida Zhu, Christos Faloutsos:
Interestingness-Driven Diffusion Process Summarization in Dynamic Networks. ECML/PKDD (2) 2014: 597-613 - [c41]Wei Gong, Ee-Peng Lim, Feida Zhu, Palakorn Achananuparp, David Lo:
On Finding the Point Where There Is No Return: Turning Point Mining on Game Data. SDM 2014: 956-964 - [c40]Siyuan Liu, Shuhui Wang, Feida Zhu, Jinbo Zhang, Ramayya Krishnan:
HYDRA: large-scale social identity linkage via heterogeneous behavior modeling. SIGMOD Conference 2014: 51-62 - [c39]Zhuohua Chen, Feida Zhu, Guangming Guo, Hongyan Liu:
User Profiling via Affinity-Aware Friendship Network. SocInfo 2014: 151-165 - [c38]Biying Tan, Feida Zhu, Qiang Qu, Siyuan Liu:
Online Community Transition Detection. WAIM 2014: 633-644 - [c37]Kwan Hui Lim, Ee-Peng Lim, Palakorn Achananuparp, Adrian Vu, Agus Trisnajaya Kwee, Feida Zhu:
LASER: a living analytics experimentation system for large-scale online controlled experiments. WWW (Companion Volume) 2014: 71-74 - [c36]Wei Dong, Minghui Qiu, Feida Zhu:
Who am I on twitter?: a cross-country comparison. WWW (Companion Volume) 2014: 253-254 - [p3]Feida Zhu:
Mining Long Patterns. Frequent Pattern Mining 2014: 83-104 - [e2]Feida Zhu:
Proceedings of the 8th Workshop on Social Network Mining and Analysis, New York, NY, USA, August 24, 2014. ACM 2014, ISBN 978-1-4503-3192-0 [contents] - 2013
- [c35]