Cheng-Te Li

212 papers A* 27A 19B 15Misc 1Journal 75Unranked 66
YearRankTypeTitle / Venue / Authors
2026 J jnl
Automatic Tagging of Foreign Information Manipulation and Interference Incidents With DISARM Tactics, Techniques, and Procedures.
IEEE Access
Timothy Niven, Cheng-Te Li
2026 J jnl
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions.
ACM Comput. Surv.
Cheng-Te Li, Yu-Che Tsai, Chih-Yao Chen, Jay Chiehen Liao
2026 J jnl
HRGNN: Learning Holistically Robust Graph Neural Networks on Noisy Graphs with Label Scarcity.
ACM Trans. Intell. Syst. Technol.
Jun-Wei Chiu, Cheng-Te Li
2026 J jnl
Privacy-Preserving Representation Learning with Gradient Obfuscation against Attribute Inference for Recommendation.
ACM Trans. Knowl. Discov. Data
Yu-Neng Chuang, Cheng-Te Li
2026 J jnl
ReCUR: Bipartite Graph Contrastive Unlearning with Influence Estimation for Privacy-Preserved Recommendation.
Mach. Learn.
Tzu-Hsuan Yang, Cheng-Te Li
2026 J jnl
Self-Supervised Bipartite Graph Neural Networks with Missing Value Imputation for Small Tabular Data Predictions.
ACM Trans. Intell. Syst. Technol.
Pei-Chia Liu, Cheng-Te Li
2025 B conf
BitGNN: Bipartite Tabular Graph Neural Networks for Privacy-Preserving Data Synthesis.
IEEE Big Data
Hung-Chia Lu, Cheng-Te Li
2025 J jnl
CAND: Cross-Domain Ambiguity Inference for Early Detecting Nuanced Illness Deterioration.
CoRR
Lo Pang-Yun Ting, Zhen Tan, Hong-Pei Chen, Cheng-Te Li, Po-Lin Chen, Kun-Ta Chuang, Huan Liu
2025 — conf
GetGNN: Generative Text Graph Neural Networks for Robust Deception Detection.
GoodIT
Yong-Han Chen, Cheng-Te Li
2025 J jnl
Learning on Missing Tabular Data: Attention with Self-Supervision, Not Imputation, Is All You Need.
ACM Trans. Intell. Syst. Technol.
Li-Wei Chang, Cheng-Te Li, Chun-Pai Yang, Shou-De Lin
2025 — conf
Old Roots, Fresh Fruits: Clickbait Detection with Effective Model Design Choices on Social Media.
ASONAM (2)
Yu-Min Tseng, Cheng-Te Li
2025 J jnl
Personalized Product Description Generation With Gated Pointer-Generator Transformer.
IEEE Trans. Comput. Soc. Syst.
Yu-Sen Liang, Chih-Yao Chen, Cheng-Te Li, Sheng-Mao Chang
2025 B conf
PoWER-M: Prediction of Writing-Based Emotional Risk with Mental-Adaptive Multi-Modal Learning.
IEEE Big Data
Li-Fang Wang, Ping-Cheng Chuang, Man-Ho Li, Cheng-Te Li
2025 A conf
Random-Feature Graph Neural Networks with Representation Tokenized Transformer for Robust One-class Anomaly Detection.
CIKM
Wen-Wei Tang, Cheng-Te Li
2025 B conf
Supervision Densification is All You Need for Graph Neural Recommenders.
IEEE Big Data
Ping-Ru Lee, Cheng-Te Li
2025 B conf
TabGSL: Graph Structure Learning for Tabular Data Predictions.
IEEE Big Data
Jay Chiehen Liao, Jun-Wei Chiu, Cheng-Te Li
2025 — conf
The First International Workshop on Large Language Models for Social Media (SocialLLM 2025).
WWW (Companion Volume)
Cheng-Te Li, Lun-Wei Ku
2024 — conf
Burstiness-aware Bipartite Graph Neural Networks for Fraudulent User Detection on Rating Platforms.
WWW (Companion Volume)
Yen-Wen Lu, Yu-Che Tsai, Cheng-Te Li
2024 A* conf
Detecting Illicit Food Factories from Chemical Declaration Data via Graph-aware Self-supervised Contrastive Anomaly Ranking.
WWW
Sheng-Fang Yang, Cheng-Te Li
2024 — conf
Dual Graph Networks with Synthetic Oversampling for Imbalanced Rumor Detection on Social Media.
WWW (Companion Volume)
Yen-Wen Lu, Chih-Yao Chen, Cheng-Te Li
2024 J jnl
Editorial: Rising stars in data mining and management 2022.
Frontiers Big Data
Feng Chen, Shuhan Yuan, Jilin Hu, Cheng-Te Li, Rudy Raymond, Lidan Shou
2024 J jnl
Forecasting Urban Sensory Values through Learning Attention-adjusted Graph Spatio-temporal Networks.
ACM Trans. Spatial Algorithms Syst.
Yi-Ju Lu, Cheng-Te Li
2024 J jnl
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions.
CoRR
Cheng-Te Li, Yu-Che Tsai, Chih-Yao Chen, Jay Chiehen Liao
2024 J jnl
Hierarchical Bipartite Graph Convolutional Network for Recommendation.
IEEE Comput. Intell. Mag.
Yi-Wei Cheng, Zhiqiang Zhong, Jun Pang, Cheng-Te Li
2024 J jnl
Incremental Data Drifting: Evaluation Metrics, Data Generation, and Approach Comparison.
ACM Trans. Intell. Syst. Technol.
Yu-Tung Pai, Nien-En Sun, Cheng-Te Li, Shou-De Lin
2024 A* conf
Multi-Grained Semantics-Aware Graph Neural Networks (Extended abstract).
ICDE
Zhiqiang Zhong, Cheng-Te Li, Jun Pang
2024 — conf
Partial Data, Potential Exposure: Evaluating Privacy Leakage via GNNExplainer on Social Networks.
ICCE-Taiwan
Liang-Jen Huang, Cheng-Te Li
2024 — conf
Skewness-aware Boosting Regression Trees for Customer Contribution Prediction in Financial Precision Marketing.
WWW (Companion Volume)
Hsin-Yu Chen, Cheng-Te Li, Ting-Yu Chen
2024 J jnl
SocialNLP Fake-EmoReact 2021 Challenge Overview: Predicting Fake Tweets from Their Replies and GIFs.
CoRR
Chien-Kun Huang, Yi-Ting Chang, Lun-Wei Ku, Cheng-Te Li, Hong-Han Shuai
2024 — conf
TCGNN: Text-Clustering Graph Neural Networks for Fake News Detection on Social Media.
PAKDD (6)
Pei-Cheng Li, Cheng-Te Li
2024 — conf
The 12th International Workshop on Natural Language Processing for Social Media (SocialNLP 2024).
WWW (Companion Volume)
Cheng-Te Li, Lun-Wei Ku, Yu-Che Tsai
2024 J jnl
Towards Robust Rumor Detection with Graph Contrastive and Curriculum Learning.
ACM Trans. Knowl. Discov. Data
Wen-Ming Zhuang, Chih-Yao Chen, Cheng-Te Li
2024 J jnl
Unilateral boundary time series forecasting.
Frontiers Big Data
Chao-Min Chang, Cheng-Te Li, Shou-De Lin
2023 B conf
ANTI-Disinformation: An Adversarial Attack and Defense Network Towards Improved Robustness for Disinformation Detection on Social Media.
IEEE Big Data
Kuan-Chun Chen, Chih-Yao Chen, Cheng-Te Li
2023 J jnl
CoANE: Modeling Context Co-Occurrence for Attributed Network Embedding.
IEEE Trans. Knowl. Data Eng.
I-Chung Hsieh, Cheng-Te Li
2023 J jnl
DDNAS: Discretized Differentiable Neural Architecture Search for Text Classification.
CoRR
Kuan-Chun Chen, Cheng-Te Li, Kuo-Jung Lee
2023 J jnl
DDNAS: Discretized Differentiable Neural Architecture Search for Text Classification.
ACM Trans. Intell. Syst. Technol.
Kuan-Chun Chen, Cheng-Te Li, Kuo-Jung Lee
2023 J jnl
FinGAT: Financial Graph Attention Networks for Recommending Top-$K$K Profitable Stocks.
IEEE Trans. Knowl. Data Eng.
Yi-Ling Hsu, Yu-Che Tsai, Cheng-Te Li
2023 — conf
Fraudulent User Detection with Time-enhanced Graph Neural Networks on E-Commerce Platforms.
ICCE-Taiwan
Yen-Wen Lu, Cheng-Te Li
2023 A* conf
Graph Neural Networks for Tabular Data Learning.
ICDE
Cheng-Te Li, Yu-Che Tsai, Jay Chiehen Liao
2023 A conf
GraphFC: Customs Fraud Detection with Label Scarcity.
CIKM
Karandeep Singh, Yu-Che Tsai, Cheng-Te Li, Meeyoung Cha, Shou-De Lin
2023 J jnl
GraphFC: Customs Fraud Detection with Label Scarcity.
CoRR
Karandeep Singh, Yu-Che Tsai, Cheng-Te Li, Meeyoung Cha, Shou-De Lin
2023 J jnl
Hierarchical message-passing graph neural networks.
Data Min. Knowl. Discov.
Zhiqiang Zhong, Cheng-Te Li, Jun Pang
2023 J jnl
Learning Privacy-Preserving Embeddings for Image Data to Be Published.
ACM Trans. Intell. Syst. Technol.
Chu-Chen Li, Cheng-Te Li, Shou-De Lin
2023 J jnl
Multi-Grained Semantics-Aware Graph Neural Networks.
IEEE Trans. Knowl. Data Eng.
Zhiqiang Zhong, Cheng-Te Li, Jun Pang
2023 J jnl
NetFense: Adversarial Defenses Against Privacy Attacks on Neural Networks for Graph Data.
IEEE Trans. Knowl. Data Eng.
I-Chung Hsieh, Cheng-Te Li
2023 A conf
Pseudo Triplet Networks for Classification Tasks with Cross-Source Feature Incompleteness.
CIKM
Cayon Liow, Cheng-Te Li, Chun-Pai Yang, Shou-De Lin
2023 Misc conf
SUVR: A Search-Based Approach to Unsupervised Visual Representation Learning.
ICASSP
Yi-Zhan Xu, Chih-Yao Chen, Cheng-Te Li
2023 J jnl
SUVR: A Search-based Approach to Unsupervised Visual Representation Learning.
CoRR
Yizhan Xu, Chih-Yao Chen, Cheng-Te Li
2023 A conf
Semi-supervised Curriculum Ensemble Learning for Financial Precision Marketing.
CIKM
Hsin-Yu Chen, Cheng-Te Li, Ting-Yu Chen
2023 — conf
SocialNLP'23: 11th International Workshop on Natural Language Processing for Social Media.
WWW (Companion Volume)
Cheng-Te Li, Lun-Wei Ku
2023 J jnl
TabGSL: Graph Structure Learning for Tabular Data Prediction.
CoRR
Jay Chiehen Liao, Cheng-Te Li
2023 — conf
Tutorials at The Web Conference 2023.
WWW (Companion Volume)
Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne R. Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu
2023 B conf
When Contrastive Learning Meets Graph Unlearning: Graph Contrastive Unlearning for Link Prediction.
IEEE Big Data
Tzu-Hsuan Yang, Cheng-Te Li
2022 B conf
A Hybird Method with Gravity Model and Nearest-Neighbor Search for Trip Destination Prediction in New Metropolitan Areas.
IEEE Big Data
Man-Ho Li, Bo-Yu Chen, Cheng-Te Li
2022 B conf
An Embarrassingly Simple Rule-based Visiting Circulation Approach to Trip Destination Prediction.
IEEE Big Data
Eng-Shen Tu, Yong-Han Chen, En-Chao Liu, Hao-Yun Keng, Cheng-Te Li
2022 A* conf
CoANE: Modeling Context Co-occurrence for Attributed Network Embedding.
ICDE
I-Chung Hsieh, Cheng-Te Li
2022 — conf
Conditional Sentence Rephrasing without Parallel Training Corpus.
ICME Workshops
Yen-Ting Lee, Cheng-Te Li, Shou-De Lin
2022 J jnl
Correction to: Predictive modeling for 14-day unplanned hospital readmission risk by using machine learning algorithms.
BMC Medical Informatics Decis. Mak.
Yu-Tai Lo, Jay Chiehen Liao, Mei-Hua Chen, Chia-Ming Chang, Cheng-Te Li
2022 J jnl
FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings.
CoRR
Cheng-Te Li, Cheng Hsu, Yang Zhang
2022 J jnl
FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings.
ACM Trans. Intell. Syst. Technol.
Cheng-Te Li, Cheng Hsu, Yang Zhang
2022 J jnl
Personalised meta-path generation for heterogeneous graph neural networks.
Data Min. Knowl. Discov.
Zhiqiang Zhong, Cheng-Te Li, Jun Pang
2022 B conf
Predicting and Analyzing Privacy Settings and Categories for Posts on Social Media.
IEEE Big Data
Hsin-Yu Chen, Cheng-Te Li
2022 — conf
SMITH: A Self-supervised Downstream-Aware Framework for Missing Testing Data Handling.
PAKDD (2)
Chih-Chun Yang, Cheng-Te Li, Shou-De Lin
2022 — conf
SocialNLP'22: 10th International Workshop on Natural Language Processing for Social Media.
WWW (Companion Volume)
Cheng-Te Li, Lun-Wei Ku, Yu-Che Tsai, Wei-Yao Wang
2022 J jnl
Toward an Adaptive Skip-Gram Model for Network Representation Learning.
IEEE Access
I-Chung Hsieh, Cheng-Te Li
2022 — conf
Unsupervised Post-Time Fake Social Message Detection with Recommendation-aware Representation Learning.
WWW (Companion Volume)
Shao-Ping Hsiao, Yu-Che Tsai, Cheng-Te Li
2021 J jnl
AGSTN: Learning Attention-adjusted Graph Spatio-Temporal Networks for Short-term Urban Sensor Value Forecasting.
CoRR
Yi-Ju Lu, Cheng-Te Li
2021 B conf
CARE: learning convolutional attentional recurrent embedding for sequential recommendation.
ASONAM
Yu-Che Tsai, Cheng-Te Li
2021 J jnl
CoANE: Modeling Context Co-occurrence for Attributed Network Embedding.
CoRR
I-Chung Hsieh, Cheng-Te Li
2021 J jnl
Deep Energy Factorization Model for Demographic Prediction.
ACM Trans. Intell. Syst. Technol.
Chih-Te Lai, Cheng-Te Li, Shou-De Lin
2021 J jnl
FinGAT: Financial Graph Attention Networks for Recommending Top-K Profitable Stocks.
CoRR
Yi-Ling Hsu, Yu-Che Tsai, Cheng-Te Li
2021 J jnl
Joint Selection of Influential Users and Locations under Target Region in Location-Based Social Networks.
Sensors
Khurshed Ali, Cheng-Te Li, Yi-Shin Chen
2021 J jnl
Learning template-free network embeddings for heterogeneous link prediction.
Soft Comput.
Cheng-Te Li, Wei-Chu Wang
2021 J jnl
Mining Influential Who-to-Post and When-to-Post Curators on Social Networks.
J. Inf. Sci. Eng.
Chieh-Cheng Hsia, Cheng-Te Li
2021 B conf
NEDRL-CIM: Network Embedding Meets Deep Reinforcement Learning to Tackle Competitive Influence Maximization on Evolving Social Networks.
DSAA
Khurshed Ali, Chih-Yu Wang, Mi-Yen Yeh, Cheng-Te Li, Yi-Shin Chen
2021 J jnl
NetFense: Adversarial Defenses against Privacy Attacks on Neural Networks for Graph Data.
CoRR
I-Chung Hsieh, Cheng-Te Li
2021 J jnl
On exploring feature representation learning of items to forecast their rise and fall in social media.
J. Intell. Inf. Syst.
Cheng-Te Li, Hsin-Yu Chen, Yang Zhang
2021 J jnl
Predictive modeling for 14-day unplanned hospital readmission risk by using machine learning algorithms.
BMC Medical Informatics Decis. Mak.
Yu-Tai Lo, Jah Chiehen Liao, Mei-Hua Chen, Chia-Ming Chang, Cheng-Te Li
2021 — ed.
Proceedings of the Ninth International Workshop on Natural Language Processing for Social Media, SocialNLP@NAACL 2021, Online, June 10, 2021
SocialNLP@NAACL
Lun-Wei Ku, Cheng-Te Li
2021 A* conf
RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation.
WWW
Cheng Hsu, Cheng-Te Li
2021 J jnl
RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation.
CoRR
Cheng Hsu, Cheng-Te Li
2021 — conf
WikiContradiction: Detecting Self-Contradiction Articles on Wikipedia.
IEEE BigData
Cheng Hsu, Cheng-Te Li, Diego Sáez-Trumper, Yi-Zhan Hsu
2021 J jnl
WikiContradiction: Detecting Self-Contradiction Articles on Wikipedia.
CoRR
Cheng Hsu, Cheng-Te Li, Diego Sáez-Trumper, Yi-Zhan Hsu
2021 — conf
ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning.
NAACL-HLT
Chih-Yao Chen, Cheng-Te Li
2021 J jnl
ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning.
CoRR
Chih-Yao Chen, Cheng-Te Li
2020 J jnl
A Comprehensive Approach to Unsupervised Embedding Learning based on AND Algorithm.
CoRR
Sungwon Han, Yizhan Xu, Sungwon Park, Meeyoung Cha, Cheng-Te Li
2020 — conf
A Comprehensive and Adversarial Approach to Self-Supervised Representation Learning.
IEEE BigData
Yizhan Xu, Sungwon Han, Sungwon Park, Meeyoung Cha, Cheng-Te Li
2020 J jnl
A joint optimization framework for better community detection based on link prediction in social networks.
Knowl. Inf. Syst.
Shu-Kai Zhang, Cheng-Te Li, Shou-De Lin
2020 A* conf
AGSTN: Learning Attention-adjusted Graph Spatio-Temporal Networks for Short-term Urban Sensor Value Forecasting.
ICDM
Yi-Ju Lu, Cheng-Te Li
2020 B conf
ActRec: A Word Embedding-based Approach to Recommend Movie Actors to Match Role Descriptions.
ASONAM
Ai-Ni Lee, Kuan-Ying Chen, Cheng-Te Li
2020 J jnl
Adaptive Multi-grained Graph Neural Networks.
CoRR
Zhiqiang Zhong, Cheng-Te Li, Jun Pang
2020 A* conf
DATE: Dual Attentive Tree-aware Embedding for Customs Fraud Detection.
KDD
Sundong Kim, Yu-Che Tsai, Karandeep Singh, Yeonsoo Choi, Etim Ibok, Cheng-Te Li, Meeyoung Cha
2020 J jnl
Detecting fake news in social media: an Asia-Pacific perspective.
Commun. ACM
Meeyoung Cha, Wei Gao, Cheng-Te Li
2020 — conf
Explainable Detection of Fake News and Cyberbullying on Social Media.
WWW (Companion Volume)
Cheng-Te Li
2020 A* conf
GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media.
ACL
Yi-Ju Lu, Cheng-Te Li
2020 J jnl
GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media.
CoRR
Yi-Ju Lu, Cheng-Te Li
2020 — conf
HENIN: Learning Heterogeneous Neural Interaction Networks for Explainable Cyberbullying Detection on Social Media.
EMNLP (1)
Hsin-Yu Chen, Cheng-Te Li
2020 J jnl
HENIN: Learning Heterogeneous Neural Interaction Networks for Explainable Cyberbullying Detection on Social Media.
CoRR
Hsin-Yu Chen, Cheng-Te Li
2020 J jnl
Hierarchical Message-Passing Graph Neural Networks.
CoRR
Zhiqiang Zhong, Cheng-Te Li, Jun Pang
2020 — ed.
Proceedings of the Eighth International Workshop on Natural Language Processing for Social Media, SocialNLP@ACL 2020, Online, July 10, 2020
SocialNLP@ACL
Lun-Wei Ku, Cheng-Te Li
2020 J jnl
Reinforcement Learning Enhanced Heterogeneous Graph Neural Network.
CoRR
Zhiqiang Zhong, Cheng-Te Li, Jun Pang
2020 A conf
TideFC: Learning Temporal Interaction for Dynamic Embedding via Feature Crossing.
ICS
Chang-Ming Tsai, Cheng-Te Li
2019 J jnl
A check-in shielding scheme against acquaintance inference in location-based social networks.
World Wide Web
Bo-Heng Chen, Cheng-Te Li, Kun-Ta Chuang
2019 J jnl
An active learning-based approach for location-aware acquaintance inference.
Knowl. Inf. Syst.
Bo-Heng Chen, Cheng-Te Li, Kun-Ta Chuang, Jun Pang, Yang Zhang
2019 A conf
FineNet: a joint convolutional and recurrent neural network model to forecast and recommend anomalous financial items.
RecSys
Yu-Che Tsai, Chih-Yao Chen, Shao-Lun Ma, Pei-Chi Wang, You-Jia Chen, Yu-Chieh Chang, Cheng-Te Li
2019 J jnl
Inferring Online Social Ties from Offline Geographical Activities.
ACM Trans. Intell. Syst. Technol.
Hsun-Ping Hsieh, Cheng-Te Li
2019 A* conf
Learning Sleep Quality from Daily Logs.
KDD
Sungkyu Park, Cheng-Te Li, Sungwon Han, Cheng Hsu, Sang Won Lee, Meeyoung Cha
2019 A* conf
MARINE: Multi-relational Network Embeddings with Relational Proximity and Node Attributes.
WWW
Ming-Han Feng, Chin-Chi Hsu, Cheng-Te Li, Mi-Yen Yeh, Shou-De Lin
2019 J jnl
Mentor-spotting: recommending expert mentors to mentees for live trouble-shooting in Codementor.
Knowl. Inf. Syst.
Cheng-Te Li
2019 — conf
Predicting New Adopters via Socially-Aware Neural Graph Collaborative Filtering.
CSoNet
Yu-Che Tsai, Muzhi Guan, Cheng-Te Li, Meeyoung Cha, Yong Li, Yue Wang
2019 A conf
Query Embedding Learning for Context-based Social Search.
CIKM
Yi-Chun Chen, Yu-Che Tsai, Cheng-Te Li
2019 A conf
Spotting Terrorists by Learning Behavior-aware Heterogeneous Network Embedding.
CIKM
Pei-Chi Wang, Cheng-Te Li
2019 J jnl
Temporal popularity prediction of locations for geographical placement of retail stores.
Knowl. Inf. Syst.
Hsun-Ping Hsieh, Fandel Lin, Cheng-Te Li, Ian En-Hsu Yen, Hsin-Yu Chen
2019 J jnl
Towards a more reliable privacy-preserving recommender system.
Inf. Sci.
Jia-Yun Jiang, Cheng-Te Li, Shou-De Lin
2019 J jnl
Who should I invite: predicting event participants for a host user.
Knowl. Inf. Syst.
Jyun-Yu Jiang, Cheng-Te Li
2018 J jnl
A Cross-Domain Recommendation Mechanism for Cold-Start Users Based on Partial Least Squares Regression.
ACM Trans. Intell. Syst. Technol.
Cheng-Te Li, Chia-Tai Hsu, Man-Kwan Shan
2018 A* conf
An Ensemble of Retrieval-Based and Generation-Based Human-Computer Conversation Systems.
IJCAI
Yiping Song, Cheng-Te Li, Jian-Yun Nie, Ming Zhang, Dongyan Zhao, Rui Yan
2018 J jnl
Forecasting participants of information diffusion on social networks with its applications.
Inf. Sci.
Cheng-Te Li, Yu-Jen Lin, Mi-Yen Yeh
2018 A* conf
Identifying Users behind Shared Accounts in Online Streaming Services.
SIGIR
Jyun-Yu Jiang, Cheng-Te Li, Yian Chen, Wei Wang
2018 J jnl
On route planning by inferring visiting time, modeling user preferences, and mining representative trip patterns.
Knowl. Inf. Syst.
Cheng-Te Li, Hsin-Yu Chen, Ren-Hao Chen, Hsun-Ping Hsieh
2018 — ch.
Opinion Diffusion and Analysis on Social Networks.
Encyclopedia of Social Network Analysis and Mining. 2nd Ed.
Cheng-Te Li, Hsun-Ping Hsieh, Tsung-Ting Kuo, Shou-De Lin
2018 — conf
Predictive Team Formation Analysis via Feature Representation Learning on Social Networks.
PAKDD (3)
Lo Pang-Yun Ting, Cheng-Te Li, Kun-Ta Chuang
2018 — ed.
Proceedings of the Sixth International Workshop on Natural Language Processing for Social Media, SocialNLP@ACL 2018, Melbourne, Australia, July 20, 2018
SocialNLP@ACL
Lun-Wei Ku, Cheng-Te Li
2018 — conf
Query Embedding Learning for Context-based Social Search.
CIKM Workshops
Cheng-Te Li, Yi-Chun Chen
2018 J jnl
Social Flocks: Simulating Crowds to Discover the Connection Between Spatial-Temporal Movements of People and Social Structure.
IEEE Trans. Comput. Soc. Syst.
Cheng-Te Li, Shou-De Lin
2018 — conf
SocialNLP@WWW 2018 Chairs' Welcome & Organization.
WWW (Companion Volume)
Cheng-Te Li, Lun-Wei Ku
2018 A* conf
Tagvisor: A Privacy Advisor for Sharing Hashtags.
WWW
Yang Zhang, Mathias Humbert, Tahleen A. Rahman, Cheng-Te Li, Jun Pang, Michael Backes
2018 J jnl
Tagvisor: A Privacy Advisor for Sharing Hashtags.
CoRR
Yang Zhang, Mathias Humbert, Tahleen A. Rahman, Cheng-Te Li, Jun Pang, Michael Backes
2018 J jnl
Team formation with influence maximization for influential event organization on social networks.
World Wide Web
Cheng-Te Li, Mei-Yuan Huang, Rui Yan
2017 — conf
Influence Maximization-Based Event Organization on Social Networks.
PAP@PKDD/ECML
Cheng-Te Li
2017 — conf
PSEISMIC: A personalized self-exciting point process model for predicting tweet popularity.
IEEE BigData
Hsin-Yu Chen, Cheng-Te Li
2017 — ed.
Proceedings of the Fifth International Workshop on Natural Language Processing for Social Media, SocialNLP@EACL 2017, Valencia, Spain, April 3, 2017
SocialNLP@EACL
Lun-Wei Ku, Cheng-Te Li
2017 J jnl
Towards a More Reliable Privacy-preserving Recommender System.
CoRR
Jia-Yun Jiang, Cheng-Te Li, Shou-De Lin
2016 A conf
Analyzing Social Event Participants for a Single Organizer.
ICWSM
Jyun-Yu Jiang, Cheng-Te Li
2016 — conf
Chinese Couplet Generation with Neural Network Structures.
ACL (1)
Rui Yan, Cheng-Te Li, Xiaohua Hu, Ming Zhang
2016 J jnl
Exploiting concept drift to predict popularity of social multimedia in microblogs.
Inf. Sci.
Cheng-Te Li, Man-Kwan Shan, Shih-Hong Jheng, Kuan-Ching Chou
2016 A conf
Forecasting Geo-sensor Data with Participatory Sensing Based on Dropout Neural Network.
CIKM
Jyun-Yu Jiang, Cheng-Te Li
2016 — conf
Modeling City Locations as Complex Networks: An initial study.
COMPLEX NETWORKS
Lu Zhou, Yang Zhang, Jun Pang, Cheng-Te Li
2016 — ed.
Proceedings of The Fourth International Workshop on Natural Language Processing for Social Media, SocialNLP@EMNLP 2016, Austin, TX, USA, November 1, 2016
SocialNLP@EMNLP
Lun-Wei Ku, Jane Yung-jen Hsu, Cheng-Te Li
2016 A* conf
Socialized Language Model Smoothing via Bi-directional Influence Propagation on Social Networks.
WWW
Rui Yan, Cheng-Te Li, Hsun-Ping Hsieh, Po Hu, Xiaohua Hu, Tingting He
2016 A conf
Who Will Respond to Your Requests for Instant Trouble-Shooting?
ICWSM
Kai-Hsiang Hsu, Cheng-Te Li, Chien-Lin Tseng
2016 — conf
Will I Win Your Favor? Predicting the Success of Altruistic Requests.
PAKDD (1)
Hsun-Ping Hsieh, Rui Yan, Cheng-Te Li
2015 J jnl
Automatic generation of visual story for fairy tales with digital narrative.
Web Intell.
Cheng-Te Li, Chieh-Jen Huang, Man-Kwan Shan
2015 A* conf
Dissecting Urban Noises from Heterogeneous Geo-Social Media and Sensor Data.
ACM Multimedia
Hsun-Ping Hsieh, Rui Yan, Cheng-Te Li
2015 — conf
Estimating Potential Customers Anywhere and Anytime Based on Location-Based Social Networks.
ECML/PKDD (2)
Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin
2015 — conf
Geo-Social Media Analytics.
WWW (Companion Volume)
Cheng-Te Li, Hsun-Ping Hsieh
2015 A* conf
I See You: Person-of-Interest Search in Social Networks.
SIGIR
Hsun-Ping Hsieh, Cheng-Te Li, Rui Yan
2015 — conf
Identifying smallest unique subgraphs in a heterogeneous social network.
IEEE BigData
Yen-Kai Wang, Wei-Ming Chen, Cheng-Te Li, Shou-De Lin
2015 A* conf
Measuring and Recommending Time-Sensitive Routes from Location-based Data.
IJCAI
Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin
2015 — conf
Mining location-based social networks for criminal activity prediction.
WOCC
Yu-Yueh Huang, Cheng-Te Li, Shyh-Kang Jeng
2015 J jnl
On team formation with expertise query in collaborative social networks.
Knowl. Inf. Syst.
Cheng-Te Li, Man-Kwan Shan, Shou-De Lin
2015 A* conf
Opportunities or Risks to Reduce Labor in Crowdsourcing Translation? Characterizing Cost versus Quality via a PageRank-HITS Hybrid Model.
IJCAI
Rui Yan, Yiping Song, Cheng-Te Li, Ming Zhang, Xiaohua Hu
2015 — ed.
Proceedings of the third International Workshop on Natural Language Processing for Social Media, SocialNLP@NAACL 2015, Denver, Colorado, USA, June 5, 2015
SocialNLP@NAACL
Shou-De Lin, Lun-Wei Ku, Cheng-Te Li, Erik Cambria
2015 A conf
T-Gram: A Time-Aware Language Model to Predict Human Mobility.
ICWSM
Hsun-Ping Hsieh, Cheng-Te Li, Xiaoqing Gao
2015 A* conf
Tackling the Achilles Heel of Social Networks: Influence Propagation based Language Model Smoothing.
WWW
Rui Yan, Ian En-Hsu Yen, Cheng-Te Li, Shiqi Zhao, Xiaohua Hu
2015 — conf
The roles of network communities in social information diffusion.
IEEE BigData
Cheng-Te Li, Yu-Jen Lin, Mi-Yen Yeh
2015 — conf
Trend-Based Citation Count Prediction for Research Articles.
PAKDD (1)
Cheng-Te Li, Yu-Jen Lin, Rui Yan, Mi-Yen Yeh
2015 A* conf
What Makes New York So Noisy?: Reasoning Noise Pollution by Mining Multimodal Geo-Social Big Data.
ACM Multimedia
Hsun-Ping Hsieh, Tzu-Chi Yen, Cheng-Te Li
2015 A conf
Where You Go Reveals Who You Know: Analyzing Social Ties from Millions of Footprints.
CIKM
Hsun-Ping Hsieh, Rui Yan, Cheng-Te Li
2014 — conf
Automatic recipe cuisine classification by ingredients.
UbiComp Adjunct
Han Su, Man-Kwan Shan, Ting-Wei Lin, Janet Chang, Cheng-Te Li
2014 — conf
Inferring social relationships from mobile sensor data.
WWW (Companion Volume)
Hsun-Ping Hsieh, Cheng-Te Li
2014 — conf
Inferring visiting time distributions of locations from incomplete check-in data.
WWW (Companion Volume)
Hsun-Ping Hsieh, Cheng-Te Li
2014 J jnl
Measuring and Recommending Time-Sensitive Routes from Location-Based Data.
ACM Trans. Intell. Syst. Technol.
Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin
2014 — conf
Mining Time-Aware Transit Patterns for Route Recommendation in Big Check-in Data.
PAKDD Workshops
Hsun-Ping Hsieh, Cheng-Te Li
2014 A conf
Mining and Planning Time-aware Routes from Check-in Data.
CIKM
Hsun-Ping Hsieh, Cheng-Te Li
2014 A conf
MobiCrowd: simulating crowds with periodic and social mobility.
AAMAS
Cheng-Te Li, Hsun-Ping Hsieh
2014 — ch.
Opinion Diffusion and Analysis on Social Networks.
Encyclopedia of Social Network Analysis and Mining
Cheng-Te Li, Hsun-Ping Hsieh, Tsung-Ting Kuo, Shou-De Lin
2014 A conf
Traveling Path Recommendation Using Temporal Transit Patterns.
ICWSM
Hsun-Ping Hsieh, Cheng-Te Li
2014 — conf
Trip Router: A Time-Sensitive Route Recommender System.
ICDM Workshops
Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin
2013 — conf
Constructing trip routes with user preference from location check-in data.
UbiComp (Adjunct Publication)
Hsun-Ping Hsieh, Cheng-Te Li
2013 J jnl
Mining and generating large-scaled social networks via MapReduce.
Soc. Netw. Anal. Min.
Yi-Chen Lo, Hung-Che Lai, Cheng-Te Li, Shou-De Lin
2013 J jnl
Modeling and evaluating information propagation in a microblogging social network.
Soc. Netw. Anal. Min.
Cheng-Te Li, Tsung-Ting Kuo, Chien-Tung Ho, San-Chuan Hung, Wei-Shih Lin, Shou-De Lin
2013 — conf
Popularity Prediction of Social Multimedia Based on Concept Drift.
SocialCom
Shih-Hong Jheng, Cheng-Te Li, Hsi-Lin Chen, Man-Kwan Shan
2013 A* conf
Sampling Heterogeneous Networks.
ICDM
Cheng-Lun Yang, Perng-Hwa Kung, Cheng-Te Li, Chun-An Chen, Shou-De Lin
2013 — conf
Time-Sensitive Route Planning Using Location-Based Data.
ICDM Workshops
Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin
2013 — conf
VizStory: Visualization of Digital Narrative for Fairy Tales.
TAAI
Chieh-Jen Huang, Cheng-Te Li, Man-Kwan Shan
2013 — conf
X2-Search: Contextual Expert Search in Social Networks.
TAAI
Cheng-Te Li, Man-Kwan Shan
2012 J jnl
A social network evolution model based on seniority.
Soc. Netw. Anal. Min.
Yi-Kuang Ko, Jing-Kai Lou, Cheng-Te Li, Shou-De Lin, Shyh-Kang Jeng
2012 — conf
Centrality Analysis, Role-Based Clustering, and Egocentric Abstraction for Heterogeneous Social Networks.
SocialCom/PASSAT
Cheng-Te Li, Shou-De Lin
2012 A conf
Composing Traveling Paths from Location-Based Services.
ICWSM
Hsun-Ping Hsieh, Cheng-Te Li
2012 A conf
Composing activity groups in social networks.
CIKM
Cheng-Te Li, Man-Kwan Shan
2012 — conf
CrowDiffuse: information diffusion over crowds with social network.
SIGGRAPH Posters
Cheng-Te Li, Hsun-Ping Hsieh, Shou-De Lin
2012 — conf
Dynamic selection of activation targets to boost the influence spread in social networks.
WWW (Companion Volume)
Cheng-Te Li, Man-Kwan Shan, Shou-De Lin
2012 A* conf
EvaPlanner: an evacuation planner with social-based flocking kinetics.
KDD
Cheng-Te Li, Shou-De Lin
2012 B conf
Exploiting and Evaluating MapReduce for Large-Scale Graph Mining.
ASONAM
Hung-Che Lai, Cheng-Te Li, Yi-Chen Lo, Shou-De Lin
2012 — conf
Exploiting large-scale check-in data to recommend time-sensitive routes.
UrbComp@KDD
Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin
2012 — conf
Finding influential seed successors in social networks.
WWW (Companion Volume)
Cheng-Te Li, Hsun-Ping Hsieh, Shou-De Lin, Man-Kwan Shan
2012 — conf
Frequent temporal social behavior search in information networks.
WWW (Companion Volume)
Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin
2012 — conf
Influence propagation and maximization for heterogeneous social networks.
WWW (Companion Volume)
Cheng-Te Li, Shou-De Lin, Man-Kwan Shan
2012 — conf
Intelligent menu planning: recommending set of recipes by ingredients.
CEA@ACM Multimedia
Fang-Fei Kuo, Cheng-Te Li, Man-Kwan Shan, Suh-Yin Lee
2012 — conf
Parallelizing Preferential Attachment Models for Generating Large-Scale Social Networks that Cannot Fit into Memory.
SocialCom/PASSAT
Yi-Chen Lo, Cheng-Te Li, Shou-De Lin
2012 — conf
Regional subgraph discovery in social networks.
WWW (Companion Volume)
Cheng-Te Li, Man-Kwan Shan, Shou-De Lin
2012 — conf
TripRec: recommending trip routes from large scale check-in data.
WWW (Companion Volume)
Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin
2011 — conf
BeTracker: A System for Finding Behavioral Patterns from Contextual Sensor and Social Data.
ICDM Workshops
Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin
2011 A conf
Context-based people search in labeled social networks.
CIKM
Cheng-Te Li, Man-Kwan Shan, Shou-De Lin
2011 A* conf
Exploiting endorsement information and social influence for item recommendation.
SIGIR
Cheng-Te Li, Shou-De Lin, Man-Kwan Shan
2011 — conf
Finding influential mediators in social networks.
WWW (Companion Volume)
Cheng-Te Li, Shou-De Lin, Man-Kwan Shan
2011 — conf
Labeled Influence Maximization in Social Networks for Target Marketing.
SocialCom/PASSAT
Fa-Hsien Li, Cheng-Te Li, Man-Kwan Shan
2011 — conf
MemeTube: A Sentiment-based Audiovisual System for Analyzing and Displaying Microblog Messages.
ACL (System Demonstrations)
Cheng-Te Li, Chien-Yuan Wang, Chien-Lin Tseng, Shou-De Lin
2011 B conf
Modeling and Visualizing Information Propagation in a Micro-blogging Platform.
ASONAM
Chien-Tung Ho, Cheng-Te Li, Shou-De Lin
2011 A* conf
PhotoFeel: feeling your photo collection with graph-based audiovisual flocking.
ACM Multimedia
Cheng-Te Li, Hsun-Ping Hsieh, Shou-De Lin
2011 A* conf
Social flocks: a crowd simulation framework for social network generation, community detection, and collective behavior modeling.
KDD
Cheng-Te Li, Shou-De Lin
2010 — conf
Communication Structure Discovery via Information Asymmetry in an Organizational Social Network.
Web Intelligence
Cheng-Te Li, Shou-De Lin
2010 — ch.
Mining Heterogeneous Social Networks for Egocentric Information Abstraction.
From Sociology to Computing in Social Networks
Cheng-Te Li, Shou-De Lin
2010 — conf
Mining Temporal Subgraph Patterns in Heterogeneous Information Networks.
SocialCom/PASSAT
Hsun-Ping Hsieh, Cheng-Te Li
2010 A* conf
Pusic: musicalize microblog messages for summarization and exploration.
WWW
Cheng-Te Li, Hung-Che Lai, Chien-Tung Ho, Chien-Lin Tseng, Shou-De Lin
2010 — conf
SocioCrowd: a social-network-based framework for crowd simulation.
SIGGRAPH Posters
Cheng-Te Li, Hsun-Ping Hsieh, Tsung-Ting Kuo, Shou-De Lin
2010 — conf
Team Formation for Generalized Tasks in Expertise Social Networks.
SocialCom/PASSAT
Cheng-Te Li, Man-Kwan Shan
2009 B conf
Egocentric Information Abstraction for Heterogeneous Social Networks.
ASONAM
Cheng-Te Li, Shou-De Lin
2008 — conf
Affective Space Exploration for Impressionism Paintings.
PCM
Cheng-Te Li, Man-Kwan Shan
2007 A* conf
Emotion-based impressionism slideshow with automatic music accompaniment.
ACM Multimedia
Cheng-Te Li, Man-Kwan Shan