Feida Zhu

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 82

Top Venues

CoRR

IEEE Trans. Knowl. Data Eng.

KDD

ICDM

Publications

Feida Zhu, Jian Pei, Michael Zeller, Bingxue Zhang
The Fourth International Workshop on Smart Data for Blockchain and Distributed Ledger (SDBD'24). KDD (2024)
Ding Zou, Wei Wei, Feida Zhu, Chuanyu Xu, Tao Zhang, Chengfu Huo
Knowledge Enhanced Multi-intent Transformer Network for Recommendation. WWW (Companion Volume) (2024)
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) (2024)
Ding Zou, Wei Wei, Feida Zhu, Chuanyu Xu, Tao Zhang, Chengfu Huo
Knowledge Enhanced Multi-intent Transformer Network for Recommendation. CoRR (2024)
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)
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) (2023)
Xiaolin Wen, Yong Wang, Xuanwu Yue, Feida Zhu, Min Zhu
NFTDisk: Visual Detection of Wash Trading in NFT Markets. CoRR (2023)
Ling Cheng, Feida Zhu, Yong Wang, Ruicheng Liang, Huiwen Liu
Evolve Path Tracer: Early Detection of Malicious Addresses in Cryptocurrency. CoRR (2023)
Ling Cheng, Feida Zhu, Yong Wang, Ruicheng Liang, Huiwen Liu
Toward Intention Discovery for Early Malice Detection in Cryptocurrency. SMC (2023)
Xiaolin Wen, Kim Siang Yeo, Yong Wang, Ling Cheng, Feida Zhu, Min Zhu
Code Will Tell: Visual Identification of Ponzi Schemes on Ethereum. CoRR (2023)
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 (2023)
Xiaolin Wen, Yong Wang, Xuanwu Yue, Feida Zhu, Min Zhu
NFTDisk: Visual Detection of Wash Trading in NFT Markets. CHI (2023)
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)
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) (2023)
Ling Cheng, Feida Zhu, Yong Wang, Ruicheng Liang, Huiwen Liu
Evolve Path Tracer: Early Detection of Malicious Addresses in Cryptocurrency. KDD (2023)
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 (2023)
Weiran Pan, Wei Wei, Feida Zhu
Automatic Noisy Label Correction for Fine-Grained Entity Typing. IJCAI (2022)
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 (2022)
Zicun Cong, Xuan Luo, Jian Pei, Feida Zhu, Yong Zhang
Data pricing in machine learning pipelines. Knowl. Inf. Syst. 64 (6) (2022)
Weiran Pan, Wei Wei, Feida Zhu
Automatic Noisy Label Correction for Fine-Grained Entity Typing. CoRR (2022)
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)
Ling Cheng, Feida Zhu, Yong Wang, Huiwen Liu
Toward Intention Discovery for Early Malice Detection in Bitcoin. CoRR (2022)
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 (2022)
Yuhang Liu, Wei Wei, Daowan Peng, Feida Zhu
Declaration-based Prompt Tuning for Visual Question Answering. IJCAI (2022)
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)
Sein Minn, Jill-Jênn Vie, Koh Takeuchi, Hisashi Kashima, Feida Zhu
Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations. AAAI (2022)
Xin Mu, Ming Pang, Feida Zhu
Data Provenance via Differential Auditing. CoRR (2022)
Yuhang Liu, Wei Wei, Daowan Peng, Feida Zhu
Declaration-based Prompt Tuning for Visual Question Answering. CoRR (2022)
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) (2021)
Zicun Cong, Xuan Luo, Jian Pei, Feida Zhu, Yong Zhang
Data Pricing in Machine Learning Pipelines. CoRR (2021)
Jian Pei, Feida Zhu, Zicun Cong, Xuan Luo, Huiwen Liu, Xin Mu
Data Pricing and Data Asset Governance in the AI Era. KDD (2021)
Ling Cheng, Wei Wei, Feida Zhu, Yong Liu, Chunyan Miao
Geometry-Entangled Visual Semantic Transformer for Image Captioning. CoRR (2021)
Ling Cheng, Feida Zhu, Huiwen Liu, Chunyan Miao
On Decentralization of Bitcoin: An Asset Perspective. CoRR (2021)
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)
Sein Minn, Jill-Jênn Vie, Koh Takeuchi, Hisashi Kashima, Feida Zhu
Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations. CoRR (2021)
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 (2021)
Zezhi Shao, Yongjun Xu, Wei Wei, Fei Wang, Zhao Zhang, Feida Zhu
Heterogeneous Graph Neural Network with Multi-view Representation Learning. CoRR (2021)
Yan Zhao, Kai Zheng, Yue Cui, Han Su, Feida Zhu, Xiaofang Zhou
Predictive Task Assignment in Spatial Crowdsourcing: A Data-driven Approach. ICDE (2020)
Tao Zhou, Ee-Peng Lim, Roy Ka-Wei Lee, Feida Zhu, Jiuxin Cao
Retrofitting Embeddings for Unsupervised User Identity Linkage. PAKDD (1) (2020)
Yuan Li, Guoren Wang, Yuhai Zhao, Feida Zhu, Yubao Wu
Towards k-vertex connected component discovery from large networks. World Wide Web 23 (2) (2020)
Wei Wei, Jiayi Liu, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou, Yuchong Hu, Shanshan Feng
Target Guided Emotion Aware Chat Machine. CoRR (2020)
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) (2020)
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)
Sein Minn, Michel C. Desmarais, Feida Zhu, Jing Xiao, Jianzong Wang
Dynamic Student Classiffication on Memory Networks for Knowledge Tracing. PAKDD (2) (2019)
Himanshu Aggarwal, Rajiv Ratn Shah, Suhua Tang, Feida Zhu
Supervised Generative Adversarial Cross-Modal Hashing by Transferring Pairwise Similarities for Venue Discovery. BigMM (2019)
Xin Mu, Wei Xie, Roy Ka-Wei Lee, Feida Zhu, Ee-Peng Lim
AD-Link: An Adaptive Approach for User Identity Linkage. ICBK (2019)
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) (2019)
Wei Wei, Ling Cheng, Xianling Mao, Guangyou Zhou, Feida Zhu
Stack-VS: Stacked Visual-Semantic Attention for Image Caption Generation. CoRR (2019)
Wei Xie, Xin Mu, Roy Ka-Wei Lee, Feida Zhu, Ee-Peng Lim
Unsupervised User Identity Linkage via Factoid Embedding. CoRR (2019)
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 (2018)
Hongchao Qin, Ye Yuan, Feida Zhu, Guoren Wang
Group Identity Matching Across Heterogeneous Social Networks. WISE (1) (2018)
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)
Xin Mu, Feida Zhu, Yue Liu, Ee-Peng Lim, Zhi-Hua Zhou
Social Stream Classification with Emerging New Labels. PAKDD (1) (2018)
Sein Minn, Feida Zhu, Michel C. Desmarais
Improving Knowledge Tracing Model by Integrating Problem Difficulty. ICDM Workshops (2018)
Felicia Natali, Feida Zhu
Offline Versus Online: A Meaningful Categorization of Ties for Retweets. SocInfo (1) (2018)
Sein Minn, Yi Yu, Michel C. Desmarais, Feida Zhu, Jill-Jênn Vie
Deep Knowledge Tracing and Dynamic Student Classification for Knowledge Tracing. ICDM (2018)
Sein Minn, Yi Yu, Michel C. Desmarais, Feida Zhu, Jill-Jênn Vie
Deep Knowledge Tracing and Dynamic Student Classification for Knowledge Tracing. CoRR (2018)
Wei Xie, Feida Zhu, Jing Xiao, Jianzong Wang
Social Network Monitoring for Bursty Cascade Detection. ACM Trans. Knowl. Discov. Data 12 (4) (2018)
Guibing Guo, Feida Zhu, Shilin Qu, Xingwei Wang
PCCF: Periodic and continual temporal co-factorization for recommender systems. Inf. Sci. (2018)
Wei Xie, Xin Mu, Roy Ka-Wei Lee, Feida Zhu, Ee-Peng Lim
Unsupervised User Identity Linkage via Factoid Embedding. ICDM (2018)
Felicia Natali, Kathleen M. Carley, Feida Zhu, Binxuan Huang
The Role of Different Tie Strength in Disseminating Different Topics on a Microblog. ASONAM (2017)
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)
Guozhong Dong, Wu Yang, Feida Zhu, Wei Wang
Discovering burst patterns of burst topic in twitter. Comput. Electr. Eng. 58 (2017)
Guibing Guo, Jie Zhang, Feida Zhu, Xingwei Wang
Factored similarity models with social trust for top-N item recommendation. Knowl. Based Syst. 122 (2017)
Xin Mu, Feida Zhu, Juan Du, Ee-Peng Lim, Zhi-Hua Zhou
Streaming Classification with Emerging New Class by Class Matrix Sketching. AAAI (2017)
Wendi Ji, Xiaoling Wang, Feida Zhu
Time-aware conversion prediction. Frontiers Comput. Sci. 11 (4) (2017)
Hongwei Liang, Ke Wang, Feida Zhu
Mining social ties beyond homophily. ICDE (2016)
Xin Mu, Feida Zhu, Ee-Peng Lim, Jing Xiao, Jianzong Wang, Zhi-Hua Zhou
User Identity Linkage by Latent User Space Modelling. KDD (2016)
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) (2016)
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 (2016)
Hongchao Qin, Ye Yuan, Feida Zhu, Guoren Wang
Efficient Community Maintenance for Dynamic Social Networks. APWeb (2) (2016)
Qiang Qu, Siyuan Liu, Feida Zhu, Christian S. Jensen
Efficient Online Summarization of Large-Scale Dynamic Networks. IEEE Trans. Knowl. Data Eng. 28 (12) (2016)
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)
Wei Gong, Ee-Peng Lim, Feida Zhu
Posting Topics \ne ≠ Reading Topics: On Discovering Posting and Reading Topics in Social Media. NetSci-X (2016)
Guozhong Dong, Wu Yang, Feida Zhu, Wei Wang
Detecting Community Pacemakers of Burst Topic in Twitter. APWeb (1) (2016)
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) (2016)
Felicia Natali, Feida Zhu
A Comparison of Fundamental Network Formation Principles Between Offline and Online Friends on Twitter. NetSci-X (2016)
Wei Chen, Feida Zhu, Lei Zhao, Xiaofang Zhou
When Peculiarity Makes a Difference: Object Characterisation in Heterogeneous Information Networks. DASFAA (2) (2016)
Wei Gong, Ee-Peng Lim, Feida Zhu, Pei Hua Cher
On Unravelling Opinions of Issue Specific-Silent Users in Social Media. ICWSM (2016)
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)
Youngsoo Kim, Felicia Natali, Feida Zhu, Ee-Peng Lim
Investigating the Influence of Offline Friendship on Twitter Networking Behaviors. HICSS (2016)
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) (2016)
Biao Chang, Feida Zhu, Enhong Chen, Qi Liu
Information Source Detection via Maximum A Posteriori Estimation. ICDM (2015)
Wei Xie, Feida Zhu, Siyuan Liu, Ke Wang
Modelling cascades over time in microblogs. IEEE BigData (2015)
Wei Gong, Ee-Peng Lim, Feida Zhu
Characterizing Silent Users in Social Media Communities. ICWSM (2015)
Chen Jason Zhang, Rui Meng, Lei Chen, Feida Zhu
CrowdLink: An Error-Tolerant Model for Linking Complex Records. ExploreDB@SIGMOD/PODS (2015)
Siyuan Liu, Shuhui Wang, Feida Zhu
Structured Learning from Heterogeneous Behavior for Social Identity Linkage. IEEE Trans. Knowl. Data Eng. 27 (7) (2015)
Hanbo Dai, Feida Zhu, Ee-Peng Lim, HweeHwa Pang
Detecting anomaly collections using extreme feature ranks. Data Min. Knowl. Discov. 29 (3) (2015)
Ming Gao, Ee-Peng Lim, David Lo, Feida Zhu, Philips Kokoh Prasetyo, Aoying Zhou
CNL: Collective Network Linkage Across Heterogeneous Social Platforms. ICDM (2015)
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)
Siyuan Liu, Shuhui Wang, Feida Zhu, Jinbo Zhang, Ramayya Krishnan
HYDRA: large-scale social identity linkage via heterogeneous behavior modeling. SIGMOD Conference (2014)
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)
Qiang Qu, Siyuan Liu, Christian S. Jensen, Feida Zhu, Christos Faloutsos
Interestingness-Driven Diffusion Process Summarization in Dynamic Networks. ECML/PKDD (2) (2014)
Wei Dong, Minghui Qiu, Feida Zhu
Who am I on twitter?: a cross-country comparison. WWW (Companion Volume) (2014)
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)
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) (2014)
Feida Zhu, Huan Sun, Xifeng Yan
Network mining and analysis for social applications. KDD (2014)
Zhuohua Chen, Feida Zhu, Guangming Guo, Hongyan Liu
User Profiling via Affinity-Aware Friendship Network. SocInfo (2014)
Guangming Guo, Lei Zhang, Qi Liu, Enhong Chen, Feida Zhu, Chu Guan
High Utility Episode Mining Made Practical and Fast. ADMA (2014)
Fangshuang Tang, Qi Liu, Hengshu Zhu, Enhong Chen, Feida Zhu
Diversified social influence maximization. ASONAM (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Feida Zhu