| 2025 | CIKM | Random-Feature Graph Neural Networks with Representation Tokenized Transformer for Robust One-class Anomaly Detection. | Wen-Wei Tang, Cheng-Te Li |
| 2025 | WWW | The First International Workshop on Large Language Models for Social Media (SocialLLM 2025). | Cheng-Te Li, Lun-Wei Ku |
| 2024 | ICDE | Multi-Grained Semantics-Aware Graph Neural Networks (Extended abstract). | Zhiqiang Zhong, Cheng-Te Li, Jun Pang |
| 2024 | PAKDD | TCGNN: Text-Clustering Graph Neural Networks for Fake News Detection on Social Media. | Pei-Cheng Li, Cheng-Te Li |
| 2024 | WWW | Skewness-aware Boosting Regression Trees for Customer Contribution Prediction in Financial Precision Marketing. | Hsin-Yu Chen, Cheng-Te Li, Ting-Yu Chen |
| 2024 | WWW | The 12th International Workshop on Natural Language Processing for Social Media (SocialNLP 2024). | Cheng-Te Li, Lun-Wei Ku, Yu-Che Tsai |
| 2024 | WWW | Dual Graph Networks with Synthetic Oversampling for Imbalanced Rumor Detection on Social Media. | Yen-Wen Lu, Chih-Yao Chen, Cheng-Te Li |
| 2024 | WWW | Burstiness-aware Bipartite Graph Neural Networks for Fraudulent User Detection on Rating Platforms. | Yen-Wen Lu, Yu-Che Tsai, Cheng-Te Li |
| 2024 | WWW | Detecting Illicit Food Factories from Chemical Declaration Data via Graph-aware Self-supervised Contrastive Anomaly Ranking. | Sheng-Fang Yang, Cheng-Te Li |
| 2023 | CIKM | Semi-supervised Curriculum Ensemble Learning for Financial Precision Marketing. | Hsin-Yu Chen, Cheng-Te Li, Ting-Yu Chen |
| 2023 | CIKM | Pseudo Triplet Networks for Classification Tasks with Cross-Source Feature Incompleteness. | Cayon Liow, Cheng-Te Li, Chun-Pai Yang, Shou-De Lin |
| 2023 | CIKM | GraphFC: Customs Fraud Detection with Label Scarcity. | Karandeep Singh, Yu-Che Tsai, Cheng-Te Li, Meeyoung Cha, Shou-De Lin |
| 2023 | ICASSP | SUVR: A Search-Based Approach to Unsupervised Visual Representation Learning. | Yi-Zhan Xu, Chih-Yao Chen, Cheng-Te Li |
| 2023 | ICDE | Graph Neural Networks for Tabular Data Learning. | Cheng-Te Li, Yu-Che Tsai, Jay Chiehen Liao |
| 2023 | WWW | Tutorials at The Web Conference 2023. | Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espn-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 Kk-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 | WWW | SocialNLP'23: 11th International Workshop on Natural Language Processing for Social Media. | Cheng-Te Li, Lun-Wei Ku |
| 2022 | ICDE | CoANE: Modeling Context Co-occurrence for Attributed Network Embedding. | I-Chung Hsieh, Cheng-Te Li |
| 2022 | PAKDD | SMITH: A Self-supervised Downstream-Aware Framework for Missing Testing Data Handling. | Chih-Chun Yang, Cheng-Te Li, Shou-De Lin |
| 2022 | WWW | Unsupervised Post-Time Fake Social Message Detection with Recommendation-aware Representation Learning. | Shao-Ping Hsiao, Yu-Che Tsai, Cheng-Te Li |
| 2022 | WWW | SocialNLP'22: 10th International Workshop on Natural Language Processing for Social Media. | Cheng-Te Li, Lun-Wei Ku, Yu-Che Tsai, Wei-Yao Wang |
| 2021 | DSAA | NEDRL-CIM: Network Embedding Meets Deep Reinforcement Learning to Tackle Competitive Influence Maximization on Evolving Social Networks. | Khurshed Ali, Chih-Yu Wang, Mi-Yen Yeh, Cheng-Te Li, Yi-Shin Chen |
| 2021 | NAACL | ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning. | Chih-Yao Chen, Cheng-Te Li |
| 2021 | WWW | RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation. | Cheng Hsu, Cheng-Te Li |
| 2020 | ACL | GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media. | Yi-Ju Lu, Cheng-Te Li |
| 2020 | EMNLP | HENIN: Learning Heterogeneous Neural Interaction Networks for Explainable Cyberbullying Detection on Social Media. | Hsin-Yu Chen, Cheng-Te Li |
| 2020 | ICDM | AGSTN: Learning Attention-adjusted Graph Spatio-Temporal Networks for Short-term Urban Sensor Value Forecasting. | Yi-Ju Lu, Cheng-Te Li |
| 2020 | KDD | DATE: Dual Attentive Tree-aware Embedding for Customs Fraud Detection. | Sundong Kim, Yu-Che Tsai, Karandeep Singh, Yeonsoo Choi, Etim Ibok, Cheng-Te Li, Meeyoung Cha |
| 2020 | WWW | Explainable Detection of Fake News and Cyberbullying on Social Media. | Cheng-Te Li |
| 2019 | CIKM | Query Embedding Learning for Context-based Social Search. | Yi-Chun Chen, Yu-Che Tsai, Cheng-Te Li |
| 2019 | CIKM | Spotting Terrorists by Learning Behavior-aware Heterogeneous Network Embedding. | Pei-Chi Wang, Cheng-Te Li |
| 2019 | KDD | Learning Sleep Quality from Daily Logs. | Sungkyu Park, Cheng-Te Li, Sungwon Han, Cheng Hsu, Sang Won Lee, Meeyoung Cha |
| 2019 | RecSys | FineNet: a joint convolutional and recurrent neural network model to forecast and recommend anomalous financial items. | Yu-Che Tsai, Chih-Yao Chen, Shao-Lun Ma, Pei-Chi Wang, You-Jia Chen, Yu-Chieh Chang, Cheng-Te Li |
| 2019 | WWW | MARINE: Multi-relational Network Embeddings with Relational Proximity and Node Attributes. | Ming-Han Feng, Chin-Chi Hsu, Cheng-Te Li, Mi-Yen Yeh, Shou-De Lin |
| 2018 | CIKM | Query Embedding Learning for Context-based Social Search. | Cheng-Te Li, Yi-Chun Chen |
| 2018 | IJCAI | An Ensemble of Retrieval-Based and Generation-Based Human-Computer Conversation Systems. | Yiping Song, Cheng-Te Li, Jian-Yun Nie, Ming Zhang, Dongyan Zhao, Rui Yan |
| 2018 | PAKDD | Predictive Team Formation Analysis via Feature Representation Learning on Social Networks. | Lo Pang-Yun Ting, Cheng-Te Li, Kun-Ta Chuang |
| 2018 | WWW | SocialNLP@WWW 2018 Chairs' Welcome & Organization. | Cheng-Te Li, Lun-Wei Ku |
| 2018 | WWW | Tagvisor: A Privacy Advisor for Sharing Hashtags. | Yang Zhang, Mathias Humbert, Tahleen A. Rahman, Cheng-Te Li, Jun Pang, Michael Backes |
| 2018 | SIGIR | Identifying Users behind Shared Accounts in Online Streaming Services. | Jyun-Yu Jiang, Cheng-Te Li, Yian Chen, Wei Wang |
| 2016 | ACL | Chinese Couplet Generation with Neural Network Structures. | Rui Yan, Cheng-Te Li, Xiaohua Hu, Ming Zhang |
| 2016 | CIKM | Forecasting Geo-sensor Data with Participatory Sensing Based on Dropout Neural Network. | Jyun-Yu Jiang, Cheng-Te Li |
| 2016 | ICWSM | Who Will Respond to Your Requests for Instant Trouble-Shooting? | Kai-Hsiang Hsu, Cheng-Te Li, Chien-Lin Tseng |
| 2016 | ICWSM | Analyzing Social Event Participants for a Single Organizer. | Jyun-Yu Jiang, Cheng-Te Li |
| 2016 | PAKDD | Will I Win Your Favor? Predicting the Success of Altruistic Requests. | Hsun-Ping Hsieh, Rui Yan, Cheng-Te Li |
| 2016 | WWW | Socialized Language Model Smoothing via Bi-directional Influence Propagation on Social Networks. | Rui Yan, Cheng-Te Li, Hsun-Ping Hsieh, Po Hu, Xiaohua Hu, Tingting He |
| 2015 | CIKM | Where You Go Reveals Who You Know: Analyzing Social Ties from Millions of Footprints. | Hsun-Ping Hsieh, Rui Yan, Cheng-Te Li |
| 2015 | IJCAI | Measuring and Recommending Time-Sensitive Routes from Location-based Data. | Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin |
| 2015 | IJCAI | Opportunities or Risks to Reduce Labor in Crowdsourcing Translation? Characterizing Cost versus Quality via a PageRank-HITS Hybrid Model. | Rui Yan, Yiping Song, Cheng-Te Li, Ming Zhang, Xiaohua Hu |
| 2015 | ICWSM | T-Gram: A Time-Aware Language Model to Predict Human Mobility. | Hsun-Ping Hsieh, Cheng-Te Li, Xiaoqing Gao |
| 2015 | PAKDD | Trend-Based Citation Count Prediction for Research Articles. | Cheng-Te Li, Yu-Jen Lin, Rui Yan, Mi-Yen Yeh |
| 2015 | WWW | Geo-Social Media Analytics. | Cheng-Te Li, Hsun-Ping Hsieh |
| 2015 | WWW | Tackling the Achilles Heel of Social Networks: Influence Propagation based Language Model Smoothing. | Rui Yan, Ian En-Hsu Yen, Cheng-Te Li, Shiqi Zhao, Xiaohua Hu |
| 2015 | SIGIR | I See You: Person-of-Interest Search in Social Networks. | Hsun-Ping Hsieh, Cheng-Te Li, Rui Yan |
| 2014 | CIKM | Mining and Planning Time-aware Routes from Check-in Data. | Hsun-Ping Hsieh, Cheng-Te Li |
| 2014 | ICDM | Trip Router: A Time-Sensitive Route Recommender System. | Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin |
| 2014 | ICWSM | Traveling Path Recommendation Using Temporal Transit Patterns. | Hsun-Ping Hsieh, Cheng-Te Li |
| 2014 | PAKDD | Mining Time-Aware Transit Patterns for Route Recommendation in Big Check-in Data. | Hsun-Ping Hsieh, Cheng-Te Li |
| 2014 | WWW | Inferring social relationships from mobile sensor data. | Hsun-Ping Hsieh, Cheng-Te Li |
| 2014 | WWW | Inferring visiting time distributions of locations from incomplete check-in data. | Hsun-Ping Hsieh, Cheng-Te Li |
| 2013 | ICDM | Time-Sensitive Route Planning Using Location-Based Data. | Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin |
| 2013 | ICDM | Sampling Heterogeneous Networks. | Cheng-Lun Yang, Perng-Hwa Kung, Cheng-Te Li, Chun-An Chen, Shou-De Lin |
| 2012 | CIKM | Composing activity groups in social networks. | Cheng-Te Li, Man-Kwan Shan |
| 2012 | ICWSM | Composing Traveling Paths from Location-Based Services. | Hsun-Ping Hsieh, Cheng-Te Li |
| 2012 | KDD | Exploiting large-scale check-in data to recommend time-sensitive routes. | Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin |
| 2012 | KDD | EvaPlanner: an evacuation planner with social-based flocking kinetics. | Cheng-Te Li, Shou-De Lin |
| 2012 | SIGGRAPH | CrowDiffuse: information diffusion over crowds with social network. | Cheng-Te Li, Hsun-Ping Hsieh, Shou-De Lin |
| 2012 | WWW | Frequent temporal social behavior search in information networks. | Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin |
| 2012 | WWW | TripRec: recommending trip routes from large scale check-in data. | Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin |
| 2012 | WWW | Finding influential seed successors in social networks. | Cheng-Te Li, Hsun-Ping Hsieh, Shou-De Lin, Man-Kwan Shan |
| 2012 | WWW | Influence propagation and maximization for heterogeneous social networks. | Cheng-Te Li, Shou-De Lin, Man-Kwan Shan |
| 2012 | WWW | Dynamic selection of activation targets to boost the influence spread in social networks. | Cheng-Te Li, Man-Kwan Shan, Shou-De Lin |
| 2012 | WWW | Regional subgraph discovery in social networks. | Cheng-Te Li, Man-Kwan Shan, Shou-De Lin |
| 2011 | ACL | MemeTube: A Sentiment-based Audiovisual System for Analyzing and Displaying Microblog Messages. | Cheng-Te Li, Chien-Yuan Wang, Chien-Lin Tseng, Shou-De Lin |
| 2011 | CIKM | Context-based people search in labeled social networks. | Cheng-Te Li, Man-Kwan Shan, Shou-De Lin |
| 2011 | ICDM | BeTracker: A System for Finding Behavioral Patterns from Contextual Sensor and Social Data. | Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin |
| 2011 | KDD | Social flocks: a crowd simulation framework for social network generation, community detection, and collective behavior modeling. | Cheng-Te Li, Shou-De Lin |
| 2011 | WWW | Finding influential mediators in social networks. | Cheng-Te Li, Shou-De Lin, Man-Kwan Shan |
| 2011 | SIGIR | Exploiting endorsement information and social influence for item recommendation. | Cheng-Te Li, Shou-De Lin, Man-Kwan Shan |
| 2010 | SIGGRAPH | SocioCrowd: a social-network-based framework for crowd simulation. | Cheng-Te Li, Hsun-Ping Hsieh, Tsung-Ting Kuo, Shou-De Lin |
| 2010 | WWW | Pusic: musicalize microblog messages for summarization and exploration. | Cheng-Te Li, Hung-Che Lai, Chien-Tung Ho, Chien-Lin Tseng, Shou-De Lin |