Cheng-Te Li

Orcid: 0000-0001-7995-4787

According to our database1, Cheng-Te Li authored at least 161 papers between 2007 and 2024.

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

Timeline

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Bibliography

2024
Hierarchical Bipartite Graph Convolutional Network for Recommendation.
IEEE Comput. Intell. Mag., May, 2024

Forecasting Urban Sensory Values through Learning Attention-adjusted Graph Spatio-temporal Networks.
ACM Trans. Spatial Algorithms Syst., March, 2024

Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions.
CoRR, 2024

TCGNN: Text-Clustering Graph Neural Networks for Fake News Detection on Social Media.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

2023
Learning Privacy-Preserving Embeddings for Image Data to Be Published.
ACM Trans. Intell. Syst. Technol., December, 2023

DDNAS: Discretized Differentiable Neural Architecture Search for Text Classification.
ACM Trans. Intell. Syst. Technol., October, 2023

Multi-Grained Semantics-Aware Graph Neural Networks.
IEEE Trans. Knowl. Data Eng., July, 2023

FinGAT: Financial Graph Attention Networks for Recommending Top-$K$K Profitable Stocks.
IEEE Trans. Knowl. Data Eng., 2023

NetFense: Adversarial Defenses Against Privacy Attacks on Neural Networks for Graph Data.
IEEE Trans. Knowl. Data Eng., 2023

CoANE: Modeling Context Co-Occurrence for Attributed Network Embedding.
IEEE Trans. Knowl. Data Eng., 2023

Hierarchical message-passing graph neural networks.
Data Min. Knowl. Discov., 2023

TabGSL: Graph Structure Learning for Tabular Data Prediction.
CoRR, 2023

SUVR: A Search-based Approach to Unsupervised Visual Representation Learning.
CoRR, 2023

SocialNLP'23: 11th International Workshop on Natural Language Processing for Social Media.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023


Graph Neural Networks for Tabular Data Learning.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Fraudulent User Detection with Time-enhanced Graph Neural Networks on E-Commerce Platforms.
Proceedings of the International Conference on Consumer Electronics - Taiwan, 2023

SUVR: A Search-Based Approach to Unsupervised Visual Representation Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

GraphFC: Customs Fraud Detection with Label Scarcity.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Pseudo Triplet Networks for Classification Tasks with Cross-Source Feature Incompleteness.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Semi-supervised Curriculum Ensemble Learning for Financial Precision Marketing.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

When Contrastive Learning Meets Graph Unlearning: Graph Contrastive Unlearning for Link Prediction.
Proceedings of the IEEE International Conference on Big Data, 2023

ANTI-Disinformation: An Adversarial Attack and Defense Network Towards Improved Robustness for Disinformation Detection on Social Media.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings.
ACM Trans. Intell. Syst. Technol., 2022

Correction to: Predictive modeling for 14-day unplanned hospital readmission risk by using machine learning algorithms.
BMC Medical Informatics Decis. Mak., 2022

Personalised meta-path generation for heterogeneous graph neural networks.
Data Min. Knowl. Discov., 2022

Toward an Adaptive Skip-Gram Model for Network Representation Learning.
IEEE Access, 2022

SocialNLP'22: 10th International Workshop on Natural Language Processing for Social Media.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Unsupervised Post-Time Fake Social Message Detection with Recommendation-aware Representation Learning.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

SMITH: A Self-supervised Downstream-Aware Framework for Missing Testing Data Handling.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Conditional Sentence Rephrasing without Parallel Training Corpus.
Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2022

An Embarrassingly Simple Rule-based Visiting Circulation Approach to Trip Destination Prediction.
Proceedings of the IEEE International Conference on Big Data, 2022

A Hybird Method with Gravity Model and Nearest-Neighbor Search for Trip Destination Prediction in New Metropolitan Areas.
Proceedings of the IEEE International Conference on Big Data, 2022

Predicting and Analyzing Privacy Settings and Categories for Posts on Social Media.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Deep Energy Factorization Model for Demographic Prediction.
ACM Trans. Intell. Syst. Technol., 2021

Learning template-free network embeddings for heterogeneous link prediction.
Soft Comput., 2021

Joint Selection of Influential Users and Locations under Target Region in Location-Based Social Networks.
Sensors, 2021

Predictive modeling for 14-day unplanned hospital readmission risk by using machine learning algorithms.
BMC Medical Informatics Decis. Mak., 2021

Mining Influential Who-to-Post and When-to-Post Curators on Social Networks.
J. Inf. Sci. Eng., 2021

On exploring feature representation learning of items to forecast their rise and fall in social media.
J. Intell. Inf. Syst., 2021

FinGAT: Financial Graph Attention Networks for Recommending Top-K Profitable Stocks.
CoRR, 2021

RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation.
Proceedings of the WWW '21: The Web Conference 2021, 2021

ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

NEDRL-CIM: Network Embedding Meets Deep Reinforcement Learning to Tackle Competitive Influence Maximization on Evolving Social Networks.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

WikiContradiction: Detecting Self-Contradiction Articles on Wikipedia.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

CARE: learning convolutional attentional recurrent embedding for sequential recommendation.
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

2020
A joint optimization framework for better community detection based on link prediction in social networks.
Knowl. Inf. Syst., 2020

Reinforcement Learning Enhanced Heterogeneous Graph Neural Network.
CoRR, 2020

Adaptive Multi-grained Graph Neural Networks.
CoRR, 2020

A Comprehensive Approach to Unsupervised Embedding Learning based on AND Algorithm.
CoRR, 2020

Detecting fake news in social media: an Asia-Pacific perspective.
Commun. ACM, 2020

Explainable Detection of Fake News and Cyberbullying on Social Media.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

DATE: Dual Attentive Tree-aware Embedding for Customs Fraud Detection.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

TideFC: Learning Temporal Interaction for Dynamic Embedding via Feature Crossing.
Proceedings of the International Computer Symposium, 2020

AGSTN: Learning Attention-adjusted Graph Spatio-Temporal Networks for Short-term Urban Sensor Value Forecasting.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

HENIN: Learning Heterogeneous Neural Interaction Networks for Explainable Cyberbullying Detection on Social Media.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

A Comprehensive and Adversarial Approach to Self-Supervised Representation Learning.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

ActRec: A Word Embedding-based Approach to Recommend Movie Actors to Match Role Descriptions.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
A check-in shielding scheme against acquaintance inference in location-based social networks.
World Wide Web, 2019

Inferring Online Social Ties from Offline Geographical Activities.
ACM Trans. Intell. Syst. Technol., 2019

Mentor-spotting: recommending expert mentors to mentees for live trouble-shooting in Codementor.
Knowl. Inf. Syst., 2019

Who should I invite: predicting event participants for a host user.
Knowl. Inf. Syst., 2019

Temporal popularity prediction of locations for geographical placement of retail stores.
Knowl. Inf. Syst., 2019

An active learning-based approach for location-aware acquaintance inference.
Knowl. Inf. Syst., 2019

Towards a more reliable privacy-preserving recommender system.
Inf. Sci., 2019

MARINE: Multi-relational Network Embeddings with Relational Proximity and Node Attributes.
Proceedings of the World Wide Web Conference, 2019

FineNet: a joint convolutional and recurrent neural network model to forecast and recommend anomalous financial items.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Learning Sleep Quality from Daily Logs.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Predicting New Adopters via Socially-Aware Neural Graph Collaborative Filtering.
Proceedings of the Computational Data and Social Networks - 8th International Conference, 2019

Spotting Terrorists by Learning Behavior-aware Heterogeneous Network Embedding.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Query Embedding Learning for Context-based Social Search.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Opinion Diffusion and Analysis on Social Networks.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Team formation with influence maximization for influential event organization on social networks.
World Wide Web, 2018

A Cross-Domain Recommendation Mechanism for Cold-Start Users Based on Partial Least Squares Regression.
ACM Trans. Intell. Syst. Technol., 2018

Social Flocks: Simulating Crowds to Discover the Connection Between Spatial-Temporal Movements of People and Social Structure.
IEEE Trans. Comput. Soc. Syst., 2018

On route planning by inferring visiting time, modeling user preferences, and mining representative trip patterns.
Knowl. Inf. Syst., 2018

Forecasting participants of information diffusion on social networks with its applications.
Inf. Sci., 2018

Tagvisor: A Privacy Advisor for Sharing Hashtags.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

SocialNLP@WWW 2018 Chairs' Welcome & Organization.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Identifying Users behind Shared Accounts in Online Streaming Services.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Predictive Team Formation Analysis via Feature Representation Learning on Social Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

An Ensemble of Retrieval-Based and Generation-Based Human-Computer Conversation Systems.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Query Embedding Learning for Context-based Social Search.
Proceedings of the CIKM 2018 Workshops co-located with 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), 2018

2017
Influence Maximization-Based Event Organization on Social Networks.
Proceedings of the Personal Analytics and Privacy. An Individual and Collective Perspective, 2017

PSEISMIC: A personalized self-exciting point process model for predicting tweet popularity.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Exploiting concept drift to predict popularity of social multimedia in microblogs.
Inf. Sci., 2016

Socialized Language Model Smoothing via Bi-directional Influence Propagation on Social Networks.
Proceedings of the 25th International Conference on World Wide Web, 2016

Will I Win Your Favor? Predicting the Success of Altruistic Requests.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Analyzing Social Event Participants for a Single Organizer.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

Who Will Respond to Your Requests for Instant Trouble-Shooting?
Proceedings of the Tenth International Conference on Web and Social Media, 2016

Modeling City Locations as Complex Networks: An initial study.
Proceedings of the Complex Networks & Their Applications V - Proceedings of the 5th International Workshop on Complex Networks and their Applications (COMPLEX NETWORKS 2016), Milan, Italy, November 30, 2016

Forecasting Geo-sensor Data with Participatory Sensing Based on Dropout Neural Network.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Chinese Couplet Generation with Neural Network Structures.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Automatic generation of visual story for fairy tales with digital narrative.
Web Intell., 2015

On team formation with expertise query in collaborative social networks.
Knowl. Inf. Syst., 2015

Tackling the Achilles Heel of Social Networks: Influence Propagation based Language Model Smoothing.
Proceedings of the 24th International Conference on World Wide Web, 2015

Geo-Social Media Analytics.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Mining location-based social networks for criminal activity prediction.
Proceedings of the 24th Wireless and Optical Communication Conference, 2015

I See You: Person-of-Interest Search in Social Networks.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Estimating Potential Customers Anywhere and Anytime Based on Location-Based Social Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Trend-Based Citation Count Prediction for Research Articles.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Dissecting Urban Noises from Heterogeneous Geo-Social Media and Sensor Data.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

What Makes New York So Noisy?: Reasoning Noise Pollution by Mining Multimodal Geo-Social Big Data.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Opportunities or Risks to Reduce Labor in Crowdsourcing Translation? Characterizing Cost versus Quality via a PageRank-HITS Hybrid Model.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

T-Gram: A Time-Aware Language Model to Predict Human Mobility.
Proceedings of the Ninth International Conference on Web and Social Media, 2015

Where You Go Reveals Who You Know: Analyzing Social Ties from Millions of Footprints.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Identifying smallest unique subgraphs in a heterogeneous social network.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

The roles of network communities in social information diffusion.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
Opinion Diffusion and Analysis on Social Networks.
Encyclopedia of Social Network Analysis and Mining, 2014

Measuring and Recommending Time-Sensitive Routes from Location-Based Data.
ACM Trans. Intell. Syst. Technol., 2014

Inferring visiting time distributions of locations from incomplete check-in data.
Proceedings of the 23rd International World Wide Web Conference, 2014

Inferring social relationships from mobile sensor data.
Proceedings of the 23rd International World Wide Web Conference, 2014

Mining Time-Aware Transit Patterns for Route Recommendation in Big Check-in Data.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2014

Traveling Path Recommendation Using Temporal Transit Patterns.
Proceedings of the Eighth International Conference on Weblogs and Social Media, 2014

Trip Router: A Time-Sensitive Route Recommender System.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

Automatic recipe cuisine classification by ingredients.
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014

Mining and Planning Time-aware Routes from Check-in Data.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

MobiCrowd: simulating crowds with periodic and social mobility.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

2013
Mining and generating large-scaled social networks via MapReduce.
Soc. Netw. Anal. Min., 2013

Modeling and evaluating information propagation in a microblogging social network.
Soc. Netw. Anal. Min., 2013

X2-Search: Contextual Expert Search in Social Networks.
Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2013

VizStory: Visualization of Digital Narrative for Fairy Tales.
Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2013

Popularity Prediction of Social Multimedia Based on Concept Drift.
Proceedings of the International Conference on Social Computing, SocialCom 2013, 2013

Sampling Heterogeneous Networks.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Time-Sensitive Route Planning Using Location-Based Data.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Constructing trip routes with user preference from location check-in data.
Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013

2012
A social network evolution model based on seniority.
Soc. Netw. Anal. Min., 2012

Regional subgraph discovery in social networks.
Proceedings of the 21st World Wide Web Conference, 2012

Dynamic selection of activation targets to boost the influence spread in social networks.
Proceedings of the 21st World Wide Web Conference, 2012

Influence propagation and maximization for heterogeneous social networks.
Proceedings of the 21st World Wide Web Conference, 2012

Finding influential seed successors in social networks.
Proceedings of the 21st World Wide Web Conference, 2012

TripRec: recommending trip routes from large scale check-in data.
Proceedings of the 21st World Wide Web Conference, 2012

Frequent temporal social behavior search in information networks.
Proceedings of the 21st World Wide Web Conference, 2012

Parallelizing Preferential Attachment Models for Generating Large-Scale Social Networks that Cannot Fit into Memory.
Proceedings of the 2012 International Conference on Privacy, 2012

Centrality Analysis, Role-Based Clustering, and Egocentric Abstraction for Heterogeneous Social Networks.
Proceedings of the 2012 International Conference on Privacy, 2012

CrowDiffuse: information diffusion over crowds with social network.
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2012

Intelligent menu planning: recommending set of recipes by ingredients.
Proceedings of the ACM multimedia 2012 workshop on Multimedia for cooking and eating activities, 2012

EvaPlanner: an evacuation planner with social-based flocking kinetics.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Exploiting large-scale check-in data to recommend time-sensitive routes.
Proceedings of the ACM SIGKDD International Workshop on Urban Computing, 2012

Composing Traveling Paths from Location-Based Services.
Proceedings of the Sixth International Conference on Weblogs and Social Media, 2012

Composing activity groups in social networks.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Exploiting and Evaluating MapReduce for Large-Scale Graph Mining.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

2011
Finding influential mediators in social networks.
Proceedings of the 20th International Conference on World Wide Web, 2011

Labeled Influence Maximization in Social Networks for Target Marketing.
Proceedings of the PASSAT/SocialCom 2011, Privacy, 2011

Exploiting endorsement information and social influence for item recommendation.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

PhotoFeel: feeling your photo collection with graph-based audiovisual flocking.
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Social flocks: a crowd simulation framework for social network generation, community detection, and collective behavior modeling.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

BeTracker: A System for Finding Behavioral Patterns from Contextual Sensor and Social Data.
Proceedings of the Data Mining Workshops (ICDMW), 2011

Context-based people search in labeled social networks.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Modeling and Visualizing Information Propagation in a Micro-blogging Platform.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011

MemeTube: A Sentiment-based Audiovisual System for Analyzing and Displaying Microblog Messages.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

2010
Mining Heterogeneous Social Networks for Egocentric Information Abstraction.
Proceedings of the From Sociology to Computing in Social Networks - Theory, 2010

Pusic: musicalize microblog messages for summarization and exploration.
Proceedings of the 19th International Conference on World Wide Web, 2010

Communication Structure Discovery via Information Asymmetry in an Organizational Social Network.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010

Team Formation for Generalized Tasks in Expertise Social Networks.
Proceedings of the 2010 IEEE Second International Conference on Social Computing, 2010

Mining Temporal Subgraph Patterns in Heterogeneous Information Networks.
Proceedings of the 2010 IEEE Second International Conference on Social Computing, 2010

SocioCrowd: a social-network-based framework for crowd simulation.
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2010

2009
Egocentric Information Abstraction for Heterogeneous Social Networks.
Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining, 2009

2008
Affective Space Exploration for Impressionism Paintings.
Proceedings of the Advances in Multimedia Information Processing, 2008

2007
Emotion-based impressionism slideshow with automatic music accompaniment.
Proceedings of the 15th International Conference on Multimedia 2007, 2007


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