Feida Zhu

Orcid: 0000-0001-6077-4356

Affiliations:
  • Singapore Management University, School of Information Systems


According to our database1, Feida Zhu authored at least 133 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Data Provenance via Differential Auditing.
IEEE Trans. Knowl. Data Eng., October, 2024

Editorial: DSAA 2023 journal track on theoretical and practical data science and analytics.
Int. J. Data Sci. Anal., October, 2024

From Asset Flow to Status, Action, and Intention Discovery: Early Malice Detection in Cryptocurrency.
ACM Trans. Knowl. Discov. Data, April, 2024

Knowledge Enhanced Multi-intent Transformer Network for Recommendation.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

The Fourth International Workshop on Smart Data for Blockchain and Distributed Ledger (SDBD'24).
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

A Security Analysis of a Deterministic Key Generation Scheme.
Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2024

2023
Interoperability in Blockchain: A Survey.
IEEE Trans. Knowl. Data Eng., December, 2023

Heterogeneous Graph Neural Network With Multi-View Representation Learning.
IEEE Trans. Knowl. Data Eng., November, 2023

Toward Intention Discovery for Early Malice Detection in Cryptocurrency.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Multi-view Hypergraph Contrastive Policy Learning for Conversational Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Evolve Path Tracer: Early Detection of Malicious Addresses in Cryptocurrency.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Code Will Tell: Visual Identification of Ponzi Schemes on Ethereum.
Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

NFTDisk: Visual Detection of Wash Trading in NFT Markets.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022
Data pricing in machine learning pipelines.
Knowl. Inf. Syst., 2022

Toward Intention Discovery for Early Malice Detection in Bitcoin.
CoRR, 2022

Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Automatic Noisy Label Correction for Fine-Grained Entity Typing.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Declaration-based Prompt Tuning for Visual Question Answering.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Improving Knowledge-aware Recommendation with Multi-level Interactive Contrastive Learning.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Target-guided Emotion-aware Chat Machine.
ACM Trans. Inf. Syst., 2021

Geometry-Entangled Visual Semantic Transformer for Image Captioning.
CoRR, 2021

On Decentralization of Bitcoin: An Asset Perspective.
CoRR, 2021

The Third International Workshop on Smart Data for Blockchain and Distributed Ledger (SDBD2021): Joint Workshop with SIGKDD 2021 Trust Day.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Data Pricing and Data Asset Governance in the AI Era.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
Towards k-vertex connected component discovery from large networks.
World Wide Web, 2020

Maximum a Posteriori Estimation for Information Source Detection.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Retrofitting Embeddings for Unsupervised User Identity Linkage.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Predictive Task Assignment in Spatial Crowdsourcing: A Data-driven Approach.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019
Who Should Be Invited to My Party: A Size-Constrained k-Core Problem in Social Networks.
J. Comput. Sci. Technol., 2019

Stack-VS: Stacked Visual-Semantic Attention for Image Caption Generation.
CoRR, 2019

Dynamic Student Classiffication on Memory Networks for Knowledge Tracing.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

AD-Link: An Adaptive Approach for User Identity Linkage.
Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

Emotion-aware Chat Machine: Automatic Emotional Response Generation for Human-like Emotional Interaction.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Supervised Generative Adversarial Cross-Modal Hashing by Transferring Pairwise Similarities for Venue Discovery.
Proceedings of the Fifth IEEE International Conference on Multimedia Big Data, 2019

2018
Social Network Monitoring for Bursty Cascade Detection.
ACM Trans. Knowl. Discov. Data, 2018

PCCF: Periodic and continual temporal co-factorization for recommender systems.
Inf. Sci., 2018

Two birds with one stone: Classifying positive and unlabeled examples on uncertain data streams.
Neurocomputing, 2018

IFUP: Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Group Identity Matching Across Heterogeneous Social Networks.
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

Offline Versus Online: A Meaningful Categorization of Ties for Retweets.
Proceedings of the Social Informatics, 2018

Social Stream Classification with Emerging New Labels.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Unsupervised User Identity Linkage via Factoid Embedding.
Proceedings of the IEEE International Conference on Data Mining, 2018

Improving Knowledge Tracing Model by Integrating Problem Difficulty.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Deep Knowledge Tracing and Dynamic Student Classification for Knowledge Tracing.
Proceedings of the IEEE International Conference on Data Mining, 2018

2017
Factored similarity models with social trust for top-N item recommendation.
Knowl. Based Syst., 2017

Time-aware conversion prediction.
Frontiers Comput. Sci., 2017

Discovering burst patterns of burst topic in twitter.
Comput. Electr. Eng., 2017

Effective k-Vertex Connected Component Detection in Large-Scale Networks.
Proceedings of the Database Systems for Advanced Applications, 2017

The Role of Different Tie Strength in Disseminating Different Topics on a Microblog.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

Streaming Classification with Emerging New Class by Class Matrix Sketching.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
From Footprint to Evidence: An Exploratory Study of Mining Social Data for Credit Scoring.
ACM Trans. Web, 2016

TopicSketch: Real-Time Bursty Topic Detection from Twitter.
IEEE Trans. Knowl. Data Eng., 2016

Learning to Find Topic Experts in Twitter via Different Relations.
IEEE Trans. Knowl. Data Eng., 2016

Efficient Online Summarization of Large-Scale Dynamic Networks.
IEEE Trans. Knowl. Data Eng., 2016

Exploring heterogeneous features for query-focused summarization of categorized community answers.
Inf. Sci., 2016

Personal Credit Profiling via Latent User Behavior Dimensions on Social Media.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

A Comparison of Fundamental Network Formation Principles Between Offline and Online Friends on Twitter.
Proceedings of the Advances in Network Science, 2016

Posting Topics \ne ≠ Reading Topics: On Discovering Posting and Reading Topics in Social Media.
Proceedings of the Advances in Network Science, 2016

User Identity Linkage by Latent User Space Modelling.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

On Unravelling Opinions of Issue Specific-Silent Users in Social Media.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

Mining social ties beyond homophily.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Investigating the Influence of Offline Friendship on Twitter Networking Behaviors.
Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

When Peculiarity Makes a Difference: Object Characterisation in Heterogeneous Information Networks.
Proceedings of the Database Systems for Advanced Applications, 2016

Efficient Community Maintenance for Dynamic Social Networks.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

When a Friend Online is More Than a Friend in Life: Intimate Relationship Prediction in Microblogs.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

Detecting Community Pacemakers of Burst Topic in Twitter.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

2015
Measuring Centralities for Transportation Networks Beyond Structures.
Proceedings of the Applications of Social Media and Social Network Analysis, 2015

Structured Learning from Heterogeneous Behavior for Social Identity Linkage.
IEEE Trans. Knowl. Data Eng., 2015

Detecting anomaly collections using extreme feature ranks.
Data Min. Knowl. Discov., 2015

CrowdLink: An Error-Tolerant Model for Linking Complex Records.
Proceedings of the Second International Workshop on Exploratory Search in Databases and the Web, 2015

Characterizing Silent Users in Social Media Communities.
Proceedings of the Ninth International Conference on Web and Social Media, 2015

CNL: Collective Network Linkage Across Heterogeneous Social Platforms.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Information Source Detection via Maximum A Posteriori Estimation.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

DaVinci: Data-driven visual interface construction for subgraph search in graph databases.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Modelling cascades over time in microblogs.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
CLEar: A Real-time Online Observatory for Bursty and Viral Events.
Proc. VLDB Endow., 2014

Detecting click fraud in online advertising: a data mining approach.
J. Mach. Learn. Res., 2014

LASER: a living analytics experimentation system for large-scale online controlled experiments.
Proceedings of the 23rd International World Wide Web Conference, 2014

Who am I on twitter?: a cross-country comparison.
Proceedings of the 23rd International World Wide Web Conference, 2014

Online Community Transition Detection.
Proceedings of the Web-Age Information Management - 15th International Conference, 2014

User Profiling via Affinity-Aware Friendship Network.
Proceedings of the Social Informatics, 2014

HYDRA: large-scale social identity linkage via heterogeneous behavior modeling.
Proceedings of the International Conference on Management of Data, 2014

On Finding the Point Where There Is No Return: Turning Point Mining on Game Data.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Interestingness-Driven Diffusion Process Summarization in Dynamic Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

An Integrated Model for User Attribute Discovery: A Case Study on Political Affiliation Identification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Network mining and analysis for social applications.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Influences of Influential Users: An Empirical Study of Music Social Network.
Proceedings of the International Conference on Internet Multimedia Computing and Service, 2014

Diversified social influence maximization.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

High Utility Episode Mining Made Practical and Fast.
Proceedings of the Advanced Data Mining and Applications - 10th International Conference, 2014

Mining Long Patterns.
Proceedings of the Frequent Pattern Mining, 2014

2013
Real Time Event Detection in Twitter.
Proceedings of the Web-Age Information Management - 14th International Conference, 2013

Information vs Interaction: An Alternative User Ranking Model for Social Networks.
Proceedings of the Social Informatics - 5th International Conference, 2013

Predicting Best Answerers for New Questions: An Approach Leveraging Topic Modeling and Collaborative Voting.
Proceedings of the Social Informatics, 2013

Predicting User's Political Party Using Ideological Stances.
Proceedings of the Social Informatics - 5th International Conference, 2013

Social Listening for Customer Acquisition.
Proceedings of the Social Informatics - 5th International Conference, 2013

A direct mining approach to efficient constrained graph pattern discovery.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

It Is Not Just What We Say, But How We Say Them: LDA-based Behavior-Topic Model.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Automated Parameter Tuning Framework for Heterogeneous and Large Instances: Case Study in Quadratic Assignment Problem.
Proceedings of the Learning and Intelligent Optimization - 7th International Conference, 2013

Reviving Dormant Ties in an Online Social Network Experiment.
Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

Dynamic Label Propagation in Social Networks.
Proceedings of the Database Systems for Advanced Applications, 2013

TwiCube: A Real-Time Twitter Off-Line Community Analysis Tool.
Proceedings of the Database Systems for Advanced Applications, 2013

CQArank: jointly model topics and expertise in community question answering.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

DelayFlow centrality for identifying critical nodes in transportation networks.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012
Mining diversity on social media networks.
Multim. Tools Appl., 2012

A probabilistic graphical model for topic and preference discovery on social media.
Neurocomputing, 2012

When a friend in Twitter is a friend in life.
Proceedings of the Web Science 2012, 2012

A Survey of Recommender Systems in Twitter.
Proceedings of the Social Informatics, 2012

On Recommending Hashtags in Twitter Networks.
Proceedings of the Social Informatics, 2012

Detecting Extreme Rank Anomalous Collections.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Detecting Anomalies in Bipartite Graphs with Mutual Dependency Principles.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Impact of Multimedia in Sina Weibo: Popularity and Life Span.
Proceedings of the Semantic Web and Web Science, 2012

Mining coherent anomaly collections on web data.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

In-game action list segmentation and labeling in real-time strategy games.
Proceedings of the 2012 IEEE Conference on Computational Intelligence and Games, 2012

Collective Churn Prediction in Social Network.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

Finding Bursty Topics from Microblogs.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011
Mining Top-K Large Structural Patterns in a Massive Network.
Proc. VLDB Endow., 2011

On Modeling Virality of Twitter Content.
Proceedings of the Digital Libraries: For Cultural Heritage, Knowledge Dissemination, and Future Creation, 2011

Efficient Topological OLAP on Information Networks.
Proceedings of the Database Systems for Advanced Applications, 2011

2010
Top-K aggregation queries over large networks.
Proceedings of the 26th International Conference on Data Engineering, 2010

Mining Diversity on Networks.
Proceedings of the Database Systems for Advanced Applications, 2010

InfoNetOLAP: OLAP and Mining of Information Networks.
Proceedings of the Link Mining: Models, Algorithms, and Applications, 2010

2009
Large-Scale Constraint-Based Pattern Mining
PhD thesis, 2009

Graph OLAP: a multi-dimensional framework for graph data analysis.
Knowl. Inf. Syst., 2009

2008
Text Cube: Computing IR Measures for Multidimensional Text Database Analysis.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Graph OLAP: Towards Online Analytical Processing on Graphs.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Mining Frequent Approximate Sequential Patterns.
Proceedings of the Next Generation of Data Mining., 2008

2007
gPrune: A Constraint Pushing Framework for Graph Pattern Mining.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

Efficient Discovery of Frequent Approximate Sequential Patterns.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

gApprox: Mining Frequent Approximate Patterns from a Massive Network.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Mining Colossal Frequent Patterns by Core Pattern Fusion.
Proceedings of the 23rd International Conference on Data Engineering, 2007

2006
Feature-based similarity search in graph structures.
ACM Trans. Database Syst., 2006

Searching Substructures with Superimposed Distance.
Proceedings of the 22nd International Conference on Data Engineering, 2006


  Loading...