Publications [DBLP] [Google Scholar]

Pei-Chia Liu and Cheng-Te Li. Self-Supervised Bipartite Graph Neural Networks with Missing Value Imputation for Small Tabular Data Predictions. ACM Transactions on Intelligent Systems and Technology (TIST), December 2025. [ Paper | Code ] (accepted)

Yu-Neng Chuang and Cheng-Te Li. Privacy-Preserving Representation Learning with Gradient Obfuscation against Attribute Inference for Recommendation. ACM Transactions on Knowledge Discovery from Data (TKDD), September 2025. [ Paper | Code ] (accepted)

Tzu-Hsuan Yang and Cheng-Te Li. ReCUR: Bipartite Graph Contrastive Unlearning with Influence Estimation for Privacy-preserving Recommendation. Machine Learning, December 2025. (also presented in the journal track of The 17th Asian Conference on Machine Learning, ACML 2025) [ Paper | Code ] (accepted)

Lo Pang-Yun Ting, Zhen Tan, Hong-Pei Chen, Cheng-Te Li, Po-Lin Chen, Kun-Ta Chuang, and Huan Liu. CAND: Cross-Domain Ambiguity Inference for Early Detecting Nuanced Illness Deterioration. NeurIPS 2025 Workshop on Learning from Time Series for Health (TS4H), December 2025. (accepted)

Wen-Wei Tang and Cheng-Te Li. Random-Feature Graph Neural Networks with Representation Tokenized Transformer for Robust One-class Anomaly Detection. ACM International Conference on Information and Knowledge Management (CIKM), Seoul, Korea, Nov.11-14, 2025. [ Paper | Code ] (accepted) 

Timothy Stephen Niven, Cheng-Te Li, and Yu-Ru Lin. A Trope-Based Computational Approach to Participatory Propaganda Analysis. IEEE Transactions on Technology and Society (TTS), August 2025. [ Code/Data ] (accepted)

Cheng-Te Li, Yu-Che Tsai, Chih-Yao Chen, and Jay Chiehen Liao. Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions. ACM Computing Surveys, 58(1), No.16, September 2025. (2024 Impact Factor: 28.0, ranked 1/147 in Computer Science Theory & Methods) [ Paper | Github ]

Yong-Han Chen and Cheng-Te Li. GetGNN: Generative Text Graph Neural Networks for Robust Deception Detection. The ACM 5th International Conference on Information Technology for Social Good (GoodIT). Antwerp, Belgium, Sep.3-5, 2025. (accepted)

Yu-Min Tseng and Cheng-Te Li. Old Roots, Fresh Fruits: Clickbait Detection with Effective Model Design Choices on Social Media. IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM). Niagara Falls, Ontario, Canada, Aug.25-28, 2025. (accepted)

Li-Wei Chang, Cheng-Te Li, Chun-Pai Yang, and Shou-De Lin. Learning on Missing Tabular Data: Attention with Self-Supervision, Not Imputation, is All You Need. ACM Transactions on Intelligent Systems and Technology (TIST), 16(3), No.73, June 2025. [ Paper | Code ]

Liang-Jen Huang and Cheng-Te Li. Partial Data, Potential Exposure: Evaluating Privacy Leakage via GNNExplainer on Social Networks. IEEE International Conference on Consumer Electronics – Taiwan (ICCE-TW), Taichung, Taiwan, Jul.9-11, 2024. Best Paper Honorable Mention

Chao-Min Chang, Cheng-Te Li, and Shou-De Lin. Unilateral Boundary Time Series Forecasting. Frontiers in Big Data, 7, June 2024.

Wen-Ming Zhuang, Chih-Yao Chen, and Cheng-Te Li. Towards Robust Rumor Detection with Graph Contrastive and Curriculum Learning. ACM Transactions on Knowledge Discovery from Data (TKDD), 18(7), No.175, March 2024. [ Paper | Code ]

Yu-Tung Pai, Nien-En Sun, Cheng-Te Li, and Shou-De Lin. Incremental Data Drifting: Evaluation Metrics, Data Generation, and Approach Comparison. ACM Transactions on Intelligent Systems and Technology (TIST), 15(4), No.71, August 2024. 

Yu-Sen Liang, Chih-Yao Chen, Cheng-Te Li, and Sheng-Mao Chang. Personalized Product Description Generation with Gated Pointer-Generator Transformer. IEEE Transactions on Computational Social Systems (TCSS), 12(1), 52-63, February 2025. 

Yen-Wen Lu, Chih-Yao Chen, and Cheng-Te Li. Dual Graph Networks with Synthetic Oversampling for Imbalanced Rumor Detection on Social Media. The 2024 ACM Web Conference (WWW), Singapore, May.13-17, 2024. (short paper) [ Promo ]

Yen-Wen Lu, Yu-Che Tsai, and Cheng-Te Li. Burstiness-aware Bipartite Graph Neural Networks for Fraudulent User Detection on Rating Platforms. The 2024 ACM Web Conference (WWW), Singapore, May.13-17, 2024. (short paper) [ Promo ]

Sheng-Fang Yang and Cheng-Te Li. Detecting Illicit Food Factories from Chemical Declaration Data via Graph-aware Self-supervised Contrastive Anomaly Ranking. The 2024 ACM Web Conference (WWW), Singapore, May.13-17, 2024. (Regular Paper, Acceptance Rate = 20.2%) [ Promo ]

Hsin-Yu Chen, Cheng-Te Li, and Ting-Yu Chen. Skewness-aware Boosting Regression Trees for Customer Contribution Prediction in Financial Precision Marketing. The 2024 ACM Web Conference (WWW), Singapore, May.13-17, 2024. (Regular Paper, Industry Track, Acceptance Rate = 21.3%) [ Promo ]

Zhiqiang Zhong, Cheng-Te Li, and Jun Pang. Multi-grained Semantics-aware Graph Neural Networks. IEEE International Conference on Data Engineering (ICDE) 2024. (TKDE Poster Track, Long version appeared at IEEE TKDE) [ Paper | Code ]

Pei-Cheng Li and Cheng-Te Li. TCGNN: Text-Clustering Graph Neural Networks for Fake News Detection on Social Media. The 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Taipei, Taiwan, May.7-10, 2024. 

Yi-Wei Cheng, Zhiqiang Zhong, Jun Pang, and Cheng-Te Li. Hierarchical Bipartite Graph Convolutional Network for Recommendation. IEEE Computational Intelligence Magazine (CIM), 19(2), 49-60, May 2024.

Yi-Ju Lu and Cheng-Te Li. Forecasting Urban Sensory Values through Learning Attention-adjusted Graph Spatio-Temporal Networks. ACM Transactions on Spatial Algorithms and Systems (TSAS), 10(1), No.4, March 2024.

Tzu-Hsuan Yang and Cheng-Te Li. When Contrastive Learning Meets Graph Unlearning: Graph Contrastive Unlearning for Link Prediction. IEEE International Conference on Big Data (IEEE-BigData). Sorrento, Italy, Dec.15-18, 2023. 

Kuan-Chun Chen, Chih-Yao Chen, and Cheng-Te Li. ANTI-Disinformation: An Adversarial Attack and Defense Network Towards Improved Robustness for Disinformation Detection on Social Media. IEEE International Conference on Big Data (IEEE-BigData). Sorrento, Italy, Dec.15-18, 2023. 

Chu-Chen Lee, Cheng-Te Li, and Shou-De Lin. Learning Privacy-Preserving Embeddings for Image Data to Be Published. ACM Transactions on Intelligent Systems and Technology (TIST), 14(6), No. 105, December 2023. 

Ching-Chi Lee, Yuan-Pin Hung, Chih-Chia Hsieh, Ching-Yu Ho, Chiao-Ya Hsu, Cheng-Te Li, and Wen-Chien Ko. Predictive Models for Short-Term Mortality and Length of Hospitalisation Among Adults with Community-Onset Bacteraemia Before and During the COVID-19 Pandemic: Application of Early Data Dynamics. BMC Infectious Diseases, 23, 605, September 2023.

Kuan-Chun Chen, Cheng-Te Li, and Kuo-Jung Lee. DDNAS: Discretized Differentiable Neural Architecture Search for Text Classification. ACM Transactions on Intelligent Systems and Technology (TIST), 14(5), No. 88, October 2023. [ Paper | Code ]

*Karandeep Singh, *Yu-Che Tsai, Cheng-Te Li, Meeyoung Cha and Shou-De Lin. GraphFC: Customs Fraud Detection with Label Scarcity. ACM International Conference on Information and Knowledge Management (CIKM), Birmingham, UK, Oct.21-25, 2023. (*: equal contribution) [ Paper | Code ] 

Hsin-Yu Chen, Cheng-Te Li, and Ting-Yu Chen. Semi-supervised Curriculum Ensemble Learning for Financial Precision Marketing. ACM International Conference on Information and Knowledge Management (CIKM), Birmingham, UK, Oct.21-25, 2023. 

Cayon Liow, Cheng-Te Li, Chun-Pai Yang, and Shou-De Lin. Pseudo Triplet Networks for Classification Tasks with Cross-Source Feature Incompleteness. ACM International Conference on Information and Knowledge Management (CIKM), Birmingham, UK, Oct.21-25, 2023. 

Yen-Wen Lu and Cheng-Te Li. Fraudulent User Detection with Time-enhanced Graph Neural Networks on E-Commerce Platforms. IEEE International Conference on Consumer Electronics – Taiwan (ICCE-TW), Pingtung, Taiwan, Jul.17-19, 2023.

Yi-Zhan Hsu, Chih-Yao Chen, and Cheng-Te Li. SUVR: A Search-based Approach to Unsupervised Visual Representation Learning. The 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). Rhodes Island, Greece, Jun.4-10, 2023.

Cheng-Te Li, Yu-Che Tsai, and Jay Chiehen Liao. Graph Neural Networks for Tabular Data Learning. The Web Conference (WWW) 2023, Austin, Texus, USA, Apr.30-May.4, 2023. (also presented in IEEE International Conference on Data Engineering (ICDE) 2023) (conference tutorial)

*Eng-Shen Tu, *Yong-Han Chen, En-Chao Liu, Hao-Yun Keng, and Cheng-Te Li. An Embarrassingly Simple Rule-based Visiting Circulation Approach to Trip Destination Prediction. IEEE International Conference on Big Data (IEEE-BigData). Osaka, Japan, Dec.17-20, 2022. (winner at the 2nd place in IEEE BigData Cup 2022) (*: equal contribution)

Man-Ho Li, Bo-Yu Chen, and Cheng-Te Li. A Hybird Method with Gravity Model and Nearest-Neighbor Search for Trip Destination Prediction on New Metropolitan Areas. IEEE International Conference on Big Data (IEEE-BigData). Osaka, Japan, Dec.17-20, 2022. (winner at the 5th place in IEEE BigData Cup 2022)

Hsin-Yu Chen and Cheng-Te Li. Predicting and Analyzing Privacy Settings and Categories for Posts on Social Media. IEEE International Conference on Big Data (IEEE-BigData). Osaka, Japan, Dec.17-20, 2022. 

Zhiqiang Zhong, Cheng-Te Li, and Jun Pang. Hierarchical Message-Passing Graph Neural Networks. Data Mining and Knowledge Discovery (DMKD), 37, 381-408, November 2022. (Will also be presented in Journal track of ECML PKDD 2023) [ Paper | Code ]

Zhiqiang Zhong, Cheng-Te Li, and Jun Pang. Personalized Meta-path Generation for Heterogeneous Graph Neural Networks. Data Mining and Knowledge Discovery (DMKD), 36, 2299-2333, October 2022. (Will also be presented in Journal track of ECML PKDD 2023) [ Paper | Code ]

Zhiqiang Zhong, Cheng-Te Li, and Jun Pang. Multi-grained Semantics-aware Graph Neural Networks. IEEE Transactions on Knowledge and Data Engineering (TKDE), 35(7), 7251-7262, July 2023. [ Paper | Code ]

Yen-Ting Lee, Cheng-Te Li, and Shou-De Lin. Conditional Sentence Rephrasing without Parallel Training Corpus. The 2022 IEEE International Conference on Multimedia & Expo (ICME), Taipei, Taiwan, Jul.18-22, 2022. (demo)

Shao-Ping Hsiao, Yu-Che Tsai, and Cheng-Te Li. Unsupervised Post-Time Fake Social Message Detection with Recommendation-aware Representation Learning. The Web Conference (WWW), Lyon, France, Apr.25-29, 2022.

I-Chung Hsieh and Cheng-Te Li. Towards an Adaptive Skip-gram Model for Network Representation Learning. IEEE Access, 10, 37506-37514, 2022. (Long version of NeurIPS 2019 GRL workshop paper)

I-Chung Hsieh and Cheng-Te Li. CoANE: Modeling Context Co-occurrence for Attributed Network Embedding. IEEE International Conference on Data Engineering (ICDE) 2022. (Long version appeared at IEEE TKDE). [ Paper | Code ]

Chih-Chun Yang, Cheng-Te Li, and Shou-De Lin. SMITH: A Self-Supervised Downstream-aware Framework for Missing Testing Data Handling. The 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Chengdu, China, May.16-19, 2022. (Regular Paper, Acceptance Rate = 19.3%)

Cheng-Te Li, Cheng Hsu, and Yang Zhang. FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings. ACM Transactions on Intelligent Systems and Technology (TIST), 13(1), No.16, February 2022. [ Paper | Code ]

Cheng Hsu, Cheng-Te Li, Diego Saez-Trumper, and Yi-Zhan Hsu. WikiContradiction: Detecting Self-Contradiction Articles on Wikipedia. IEEE International Conference on Big Data (IEEE-BigData). Virtual, Dec.15-18, 2021. (Regular Paper, Acceptance Rate = 19.9%)

*Yu-Tai Lo, *Jay Chiehen Liao, Mei-Hua Chen, Chia-Ming Chang, and Cheng-Te Li. Predictive Modeling for 14-Day Unplanned Hospital Readmission Risk by Using Machine Learning Algorithms. BMC Medical Informatics and Decision Making, 21, No.288, 2021. (*: equal contribution) 

I-Chung Hsieh and Cheng-Te Li. NetFense: Adversarial Defenses against Privacy Attacks on Neural Networks for Graph Data. IEEE Transactions on Knowledge and Data Engineering (TKDE), 35(1), 796-809, Januray 2023. [ Paper | Code ]

I-Chung Hsieh and Cheng-Te Li. CoANE: Modeling Context Co-occurrence for Attributed Network Embedding. IEEE Transactions on Knowledge and Data Engineering (TKDE), 35(1), 167-180, January 2023. [ Paper | Code ]

*Yi-Ling Hsu, *Yu-Che Tsai, and Cheng-Te Li. FinGAT: Financial Graph Attention Networks for Recommending Top-K Profitable Stocks. IEEE Transactions on Knowledge and Data Engineering (TKDE), 35(1), 469-481, January 2023. (*: equal contribution) [ Paper | Code ]

Yu-Che Tsai and Cheng-Te Li. CARE: Learning Convolutional Attentional Recurrent Embedding for Sequential Recommendation. IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM). Virtual, Nov.8-11, 2021.

Khurshed Ali, Chih-Yu Wang, Mi-Yen Yeh, Cheng-Te Li, and Yi-Shin Chen. NEDRL-CIM: Network Embedding Meets Deep Reinforcement Learning to Tackle Competitive Influence Maximization on Evolving Social Networks. The 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA), Virtual, Oct.6-9, 2021.

Wei-Chu Wang and Cheng-Te Li. Learning Template-free Network Embeddings for Heterogeneous Link Prediction. Soft Computing, 25, 13425-13435, November 2021. 

Chih-Yao Chen and Cheng-Te Li. ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning. The 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Mexico City, Mexico, Jun.6-11, 2021. (Long Paper, Acceptance Rate = 28%) [ Paper | Code ]

Cheng Hsu and Cheng-Te Li. RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation. The Web Conference (WWW), Ljubljana, Slovenia, Apr.19-23, 2021. (Regular Paper, Acceptance Rate = 20.6%) [ Paper ]

Khurshed Ali, Cheng-Te Li, and Yi-Shin Chen. Joint Selection of Influential Users and Locations under Target Region in Location-based Social Networks. Sensors, 21(3), 709, January 2021.

Hsin-Yu Chen, Cheng-Te Li, and Yang Zhang. On Exploring Feature Representation Learning of Items to Forecast their Rise and Fall in Social Media. Journal of Intelligent Information Systems (JIIS), 56, 409-433, January 2021.

*Yi-Zhan Xu, *Sungwon Han, Sungwon Park, Meeyoung Cha, and Cheng-Te Li. A Comprehensive and Adversarial Approach to Self-Supervised Representation Learning. IEEE International Conference on Big Data (IEEE-BigData). Virtual, Dec.10-13, 2020. (*: equal contribution) (Regular Paper, Acceptance Rate = 15.5%) [ Paper | Code ]

Ai-Ni Lee, Kuan-Ying Chen, and Cheng-Te Li. ActRec: A Word Embedding-based Approach to Recommend Movie Actors to Match Role Descriptions. IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM). Virtual, Dec.7-10, 2020. (Full Paper, Acceptance Rate = 17.8%)

Ai-Ni Lee, Yi-Ju Lu, and Cheng-Te Li. DeFake: Debunking Fake Social Messages with BERT Embeddings. The 2020 International Conference on Technologies and Applications of Artificial Intelligence (TAAI). Taipei, Taiwan, Dec.3-5, 2020. (Domestic Paper) Best Paper Award 1st Place.

Shao-Ping Hsiao, Chang-Ming Tsai, Kai-Hsiang Fan, Shang-Min Chou, Yu-Min Wu, Cheng-Te Li. FinRec: Financial Item Recommendation with Pre-Training Tree-based Models. The 2020 International Conference on Technologies and Applications of Artificial Intelligence (TAAI). Taipei, Taiwan, Dec.3-5, 2020. (Domestic Paper)

Chih-Te Lai, Cheng-Te Li, and Shou-De Lin. Deep Energy Factorization Model for Demographic Prediction. ACM Transactions on Intelligent Systems and Technology (TIST), 12(1), No.8, February 2021.

Hsin-Yu Chen and Cheng-Te Li. HENIN: Learning Heterogeneous Neural Interaction Networks for Explainable Cyberbullying Detection on Social Media. The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Virtual, Nov.16-20, 2020. (Long Paper, Acceptance Rate = 22.4%) [ Paper | Code | Video ]

Yi-Ju Lu and Cheng-Te Li. AGSTN: Learning Attention-adjusted Graph Spatio-Temporal Networks for Short-term Urban Sensor Value Forecasting. IEEE International Conference on Data Mining (ICDM). Virtual, Nov.17-20, 2020. (Short Paper, Acceptance Rate = 19.7%) [ Paper | Code ]

*Sundong Kim, *Yu-Che Tsai, Karandeep Singh, Yeonsoo Choi, Etim Ibok, Cheng-Te Li, and Meeyoung Cha. DATE: Dual Attentive Tree-aware Embedding for Customs Fraud Detection. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). San Diego, CA, USA, Aug.23-27, 2020. (*: equal contribution) (Regular Paper, Acceptance Rate = 16%) [ Paper | Code | Video | World Customs Organization (WCO) Press ]

Yi-Ju Lu and Cheng-Te Li. GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media. The Annual Meeting of the Association for Computational Linguistics (ACL), Seattle, Washington, USA, July.5-10, 2020. (Long Paper, Acceptance Rate = 22.7%) [ Paper | Code | Video ]

Shu-Kai Zhang, Cheng-Te Li, and Shou-De Lin. A Joint Optimization Framework for Better Community Detection based on Link Prediction in Social Networks. Knowledge and Information Systems (KAIS), 62, 4277-4296, November 2020.

Meeyoung Cha, Wei Gao, and Cheng-Te Li. Detecting Fake News in Social Media: An Asia-Pacific Perspective. Communications of the ACM (CACM), 64(4), 68-71, April 2020.

Yi-Chun Chen and Cheng-Te Li. Finding Potential Propagators and Customers in Location-based Social Networks: An Embedding-based Approach. Applied Sciences, 10(22), 8003, November 2020.

Hong-Yu Lin and Cheng-Te Li. Structural Hierarchy-Enhanced Network Representation Learning. Applied Sciences, 10(20), 7214, October 2020.

Zi-Yun Zeng and Cheng-Te Li. Learning Effective Feature Representation against User Privacy Protection on Social Networks. Applied Sciences, 10 (14), 4835, July 2020.

Chieh-Cheng Hsia and Cheng-Te Li. Mining Influential Who-to-Post and When-to-Post Curators on Social Networks. Journal of Information Science and Engineering (JISE) 37 No.4, 935-958, July 2021.

I-Chung Hsieh and Cheng-Te Li. Towards an Adaptive Skip-gram Model for Network Representation Learning. The Thirty-third Annual Conference on Neural Information Processing Systems (NeurIPS) Workshop on Graph Representation Learning, Vancouver, Canada, Dec.13, 2019.

Yu-Che Tsai, Muzhi Guan, Cheng-Te Li, Meeyoung Cha, Yong Li, and Yue Wang. Predicting New Adopters via Socially-Aware Neural Graph Collaborative Filtering. The 8th International Conference on Computational Data and Social Networks (CSoNet), Ho Chi Minh City, Vietnam, Nov.18-20, 2019.

Pei-Chi Wang and Cheng-Te Li. Spotting Terrorists by Learning Behavior-aware Heterogeneous Network Embedding. ACM International Conference on Information and Knowledge Management (CIKM), Beijing, China, Nov.3-7, 2019. (Short Paper, Acceptance Rate = 21.3%)

Yi-Chun Chen, Yu-Che Tsai, and Cheng-Te Li. Query Embedding Learning for Context-based Social Search. ACM International Conference on Information and Knowledge Management (CIKM), Beijing, China, Nov.3-7, 2019. (Short Paper, Acceptance Rate = 21.3%)

Yu-Che Tsai, Chih-Yao Chen, Shao-Lun Ma, Pei-Chi Wang, You-Jia Chen, Yu-Chieh Chang, and Cheng-Te Li. FineNet: A Joint Convolutional and Recurrent Neural Network Model to Forecast and Recommend Anomalous Financial Items. ACM International Conference on Recommender Systems (RecSys). Copenhagen, Denmark, Sep.16-20, 2019. (Demo Paper)

Sungkyu Park, Cheng-Te Li, Sungwon Han, Cheng Hsu, Sang Won Lee, and Meeyoung Cha. Learning Sleep Quality from Daily Logs. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). Anchorage, Alaska, USA, Aug.3-7, 2019. (ADS Regular Paper, Acceptance Rate = 20.7%) [ Paper | Code | Video ]

Ming-Han Feng, Chin-Chi Hsu, Cheng-Te Li, Mi-Yen Yeh, and Shou-De Lin. MARINE: Multi-relational Network Embeddings with Relational Proximity and Node Attributes. The Web Conference (WWW). San Francisco, CA, USA, May.13-17, 2019. (Regular Paper, Acceptance Rate = 18.0%) [ Paper | Code ]

Hsun-Ping Hsieh and Cheng-Te Li. Inferring Online Social Ties from Offline Geographical Activities. ACM Transactions on Intelligent Systems and Technology (TIST), 10 (2), No.17, January 2019.

Jia-Yun Jiang, Cheng-Te Li, and Shou-De Lin. Towards A More Reliable Privacy-Preserving Recommendation Systems. Information Sciences, 482, 248-265, May 2019.

Bo-Heng Chen, Cheng-Te Li, and Kun-Ta Chuang. A Check-in Shielding Scheme against Acquaintance Inference in Location-based Social Networks. World Wide Web Journal, 22, 2321-2354, November 2019.

Cheng-Te Li. Mentor-Spotting: Recommending Expert Mentors to Mentees for Live Trouble-Shooting in Codementor. Knowledge and Information Systems (KAIS), 61, 799-820, November 2019.

Hsun-Ping Hsieh, Fandel Lin, Cheng-Te Li, Ian En-Hsu Yen, and Hsin-Yu Chen. Temporal Popularity Prediction of Locations for Geographical Placement of Retail Stores. Knowledge and Information Systems (KAIS), 60, 247-273, July 2019.

Cheng-Te Li, Chia-Tai Hsu, and Man-Kwan Shan. A Cross-Domain Recommendation Mechanism for Cold-Start Users Based on Partial Least Squares Regression. ACM Transactions on Intelligent Systems and Technology (TIST), 9(6), No.67, November 2018.

Jyun-Yu Jiang, Cheng-Te Li, Yi-An Chen, and Wei Wang. Identifying Users behind Shared Accounts in Online Streaming Services. ACM International Conference on Research and Development in Information Retrieval (SIGIR), Ann Arbor, Michigan, USA, July.8-12, 2018. (Regular Paper, Acceptance Rate = 21.0%)

Yi-Ping Song, Cheng-Te Li, Jian-Yun Nie, Ming Zhang, Dongyan Zhao and Rui Yan. An Ensemble of Retrieval-Based and Generation-Based Human-Computer Conversation Systems. The 27th International Joint Conference on Artificial Intelligence (IJCAI), July.13-17, Stockholm, Sweden, 2018. (Regular Paper, Acceptance Rate = 20.5%)

Bo-Heng Chen, Cheng-Te Li, Kun-Ta Chuang, Jun Pang, and Yang Zhang. An Active Learning-based Approach for Location-aware Acquaintance Inference. Knowledge and Information Systems (KAIS), 59(3), 539-569, June 2019.

Jyun-Yu Jiang and Cheng-Te Li. Who Should I Invite: Predicting Event Participants for a Host User. Knowledge and Information Systems (KAIS), 59(3), 629-650, June 2019.

Cheng-Te Li, Hsun-Ping Hsieh, Tsung-Ting Kuo, and Shou-De Lin. Opinion Diffusion and Analysis on Social Networks. Encyclopedia of Social Network Analysis and Mining (2nd edition), Springer, 2018.

Lo-Pang-Yun Ting, Cheng-Te Li, and Kun-Ta Chuang. Predictive Social Team Formation Analysis via Feature Representation Learning. The 22th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Melbourne, Australia, Jun.3-6, 2018. (Regular Paper, Acceptance Rate = 17.8%)

Yang Zhang, Mathias Humbert, Tahleen Rahman, Cheng-Te Li, Jun Pang, and Michael Backes. Tagvisor: A Privacy Advisor for Sharing Hashtags. The Web Conference (WWW), Lyon, France, Apr.23-27, 2018. (Regular Paper, Acceptance Rate = 14.7%)

Hsin-Yu Chen and Cheng-Te Li. PSEISMIC: A Personalized Self-Exciting Point Process Model for Predicting Tweet Popularity. IEEE International Conference on Big Data (IEEE-BigData), Dec.11-14, 2017.

Ai-Hwa Lai, Chieh-Cheng Hsia, and Cheng-Te Li. Multi-Curator When-to-Post on Social Networks. The 2017 Conference on Technologies and Applications of Artificial Intelligence (TAAI) Domestic Track, Taipei, Taiwan, Dec.1-3, 2017.

Cheng-Te Li and Shou-De Lin. Social Flocks: Simulating Crowds to Discover the Connection between Spatial-Temporal Movements of People and Social Structure. IEEE Transactions on Computational Social Systems (TCSS), 5(1), 33-45, November 2017.

Cheng-Te Li, Yu-Jen Lin, and Mi-Yen Yeh. Forecasting Participants of Information Diffusion on Social Networks with Its Applications. Information Sciences, 422, 432-446, January 2018.

Cheng-Te Li, Mei-Yuan Huang, and Rui Yan. Team Formation with Influence Maximization for Influential Event Organization on Social Networks. World Wide Web Journal (WWWJ), 21, 939-959, July 2018.

Cheng-Te Li, Hsin-Yu Chen, Ren-Hao Chen, and Hsun-Ping Hsieh. On Route Planning by Inferring Visiting Time, Modeling User Preferences, and Mining Representative Trip Patterns. Knowledge and Information Systems (KAIS), 56, 581-611, September 2018.

Cheng-Te Li. Influence Maximization-based Event Organization on Social Networks. The 3rd International Workshop on Dynamics in and of Networks (Dyno), in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD), Skopje, Macedonia, Sept.18-22, 2017.

Lu Zhou, Yang Zhang, Jun Pang, and Cheng-Te Li. Modeling City Locations as Complex Networks: An Initial Study. The 5th International Workshop on Complex Networks and their Applications (ComplexNetworks), Milan, Italy, Nov.30-Dec.2, 2016.

Mrinal Kanti Baowaly, Uzzal Podder, and Cheng-Te Li. Understanding Foursquare Venue Popularity in Taiwan and a Comparative Study with USA. The 19th IEEE International Conference on Computer and Information Technology (ICCIT'16), Bangladesh, Dec.18-20, 2016.

Jyun-Yu Jiang and Cheng-Te Li. Forecasting Geo-sensor Data with Participatory Sensing Based on Dropout Neural Network. ACM International Conference on Information and Knowledge Management (CIKM), Indianapolis, USA, Oct.24-28, 2016. (Short Paper, Acceptance Rate = 28.9%)

Rui Yan, Cheng-Te Li, Xiaohua Hu, and Ming Zhang. Chinese Couplet Generation with Neural Network Structures. The Annual Meeting of the Association for Computational Linguistics (ACL), Berlin, Germany, August.7-12, 2016. (Long Paper, Acceptance Rate = 25.4%) [ Paper ]

Jyun-Yu Jiang and Cheng-Te Li. Analyzing Social Event Participants for a Single Organizer. AAAI International Conference on Web and Social Media (ICWSM), Cologne, Germany, May.17-20, 2016.

Kai-Hsiang Hsu, Cheng-Te Li and Chien-Lin Tseng. Who Will Respond to Your Requests for Instant Trouble-Shooting? AAAI International Conference on Web and Social Media (ICWSM), Cologne, Germany, May.17-20, 2016.

Cheng-Te Li, Man-Kwan Shan, Shih-Hong Jheng, and Kuan-Ching Chou. Exploiting Concept Drift to Predict Popularity of Social Multimedia in Microblogs. Information Sciences, 339, 310-331, April 2016.

Rui Yan, Cheng-Te Li, Hsun-Ping Hsieh, Po Hu, Xiaohua Hu, and Tingting He. Inferring Bi-directional Influence Probabilities for Socialized Language Model Smoothing in Social Media. ACM International Conference on World Wide Web (WWW), Montreal, Canada, Apr.11-15, 2016. (Regular Paper, Acceptance Rate = 15.8%)

Hsun-Ping Hsieh and Cheng-Te Li. Will I Win Your Favor? Predicting the Success of Altruistic Requests. The 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Auckland, New Zealand, Apr.19-22, 2016. (Oral Regular Paper, Acceptance Rate = 12.7%)

Cheng-Te Li and Hsun-Ping Hsieh. Geo-Social Media Analytics. The 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Auckland, New Zealand, Apr.19-22, 2016. (tutorial)

Cheng-Te Li, Yu-Jen Lin, and Mi-Yen Yeh. The Roles of Network Communities on Social Information Diffusion. IEEE International Conference on Big Data (IEEE-BigData), Santa Clara, CA, USA, Oct.29-Nov.01, 2015. (Regular Paper, Acceptance Rate = 16.8%)

Yen-Kai Wang, Wei-Ming Chen, Cheng-Te Li, and Shou-De Lin. Identifying Smallest Unique Subgraphs in a Heterogeneous Social Network. IEEE International Conference on Big Data (IEEE-BigData), Santa Clara, CA, USA, Oct.29-Nov.01, 2015. (Regular Paper, Acceptance Rate = 16.8%)

Hsun-Ping Hsieh, Tzu-Chi Yen, and Cheng-Te Li. What Makes New York So Noisy? Reasoning Noise Pollution by Mining Multimodal Geo-Social Big Data. ACM International Conference on Multimedia (MM), Brisbane, Australia, Oct.26-30, 2015. (Grand Challenge Finalist)

Hsun-Ping Hsieh, Rui Yan, and Cheng-Te Li. Dissecting Urban Noises from Heterogeneous Geo-Social Media and Sensor Data. ACM International Conference on Multimedia (MM), Brisbane, Australia, Oct.26-30, 2015.

Yu-Yueh Huang, Cheng-Te Li, and Shyh-Kang Jeng. Mining Location-based Social Networks for Criminal Spot Analysis and Detection. The 24th Wireless and Optical Communication Conference (WOCC), Taipei, Taiwan, Oct.23-24, 2015.

Hsun-Ping Hsieh, Rui Yan, and Cheng-Te Li. Where You Go Reveals Who You Know: Analyzing Social Ties from Millions of Footprints. ACM International Conference on Information and Knowledge Management (CIKM), Melbourne, Australia, Oct.19-23, 2015. (Short Paper, Acceptance Rate = 25.0%)

Hsun-Ping Hsieh, Cheng-Te Li, and Shou-De Lin. Estimating Customers Anywhere and Anytime on Location-based Social Networks. The 30th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD). Porto, Portugal, Sep.7-11, 2015. (Regular Paper, Acceptance Rate = 23.2%)

Tzu-Chi Yen, Tzu-Yun Lin, Ching-Yuan Yeh, Hsun-Ping Hsieh, and Cheng-Te Li. An Interactive Visualization System to Analyze and Predict Urban Construction Dynamics. ACM SIGKDD International Workshop on Urban Computing (UrbComp), in conjunction with KDD 2015, Sydney, Australia, Aug.10, 2015.

Hsun-Ping Hsieh, Cheng-Te Li, and Rui Yan. I See You: Person-of-Interest Search in Social Networks. ACM International Conference on Research and Development in Information Retrieval (SIGIR). Santiago, Chile, Aug.9-13, 2015. (Short Paper, Acceptance Rate = 31.3%)

Rui Yan, Yiping Song, Cheng-Te Li, Ming Zhang, and Xiaohua Hu. Opportunities or Risks to Reduce Labor Force in Crowdsourcing Translation? Characterizing Cost v.s. Quality in Balance. The 24th International Joint Conference on Artificial Intelligence (IJCAI). Buenos Aires, Argentina, Jul.25-Aug.1, 2015. (Regular Paper, Acceptance Rate = 28.7%)

Hsun-Ping Hsieh, Cheng-Te Li, and Xiaoqing Gao. T-gram: a Time-aware Language Model to Predict Human Mobility. AAAI International Conference on Web and Social Media (ICWSM), Oxford, UK, May.26-29, 2015.

Cheng-Te Li, Yu-Jen Lin, Rui Yan, and Mi-Yen Yeh. Trend-based Citation Count Prediction for Research Articles. The 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Ho Chi Minh, Vietnam, May.19-22, 2015. (Regular Paper, Acceptance Rate = 22.2%)

Rui Yan, Ian E.-H. Yen, Cheng-Te Li, Shiqi Zhao, and Xiaohua Hu. Tackling the Achilles Heel of Social Networks: Influence Propagation based Language Model Smoothing. ACM International World Wide Web Conference (WWW), Florence, Italy, May.18-22, 2015. (Regular Paper, Acceptance Rate = 14.1%)

Cheng-Te Li and Hsun-Ping Hsieh. Geo-Social Media Analytics. ACM International World Wide Web Conference (WWW'15), Florence, Italy, May.18-22, 2015. (tutorial)

Hsun-Ping Hsieh, Cheng-Te Li, and Shou-De Lin. TripRouter: A Time-Sensitive Route Recommender System. IEEE International Conference on Data Mining (ICDM), Shenzhen, China, Dec.14-17, 2014. (demo paper)

Hsun-Ping Hsieh and Cheng-Te Li. Mining and Planning Pleasant Routes with Check-in Data. ACM International Conference on Information and Knowledge Management (CIKM), Shanghai, China, Nov.3-7, 2014. (Regular Paper, Acceptance Rate = 20.8%)

Han Su, Ting-Wei Lin, Cheng-Te Li, Man-Kwan Shan, and Janet Chang. Automatic Recipe Cuisine Classification by Ingredients. The 6th International Workshop on Smart Technology for Cooking and Eating Activities (CEA). (in conjunction with ACM UbiComp 2014), Seattle, Washington, USA, Sep.13-17, 2014.

Cheng-Te Li, Chieh-Jen Huang, and Man-Kwan Shan. Automatic Generation of Visual Story for Fairy Tales with Digital Narrative. Journal of Web Intelligence, 13 (2),115-122. 2015. 

Hsun-Ping Hsieh and Cheng-Te Li. Planning Routes and Locations in Geo-Social Media. IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM), Beijing, China, Aug.17-20, 2014. (tutorial)

Hsun-Ping Hsieh, Thomas Sandholm, and Cheng-Te Li. Route Planning and Visualization Using Geo-Social Media Data. AAAI International Conference on Weblogs and Social Media (ICWSM), Ann Arbor, Michigan, USA, Jun.1-4, 2014. (tutorial)

Hsun-Ping Hsieh and Cheng-Te Li. Mining Time-aware Transit Patterns for Route Recommendation in Big Check-in Data. International Workshop on Pattern Mining and Application of Big Data (BigPMA). (in conjunction with PAKDD 2014), Tainan, Taiwan, May.13, 2014. Best Paper Award.

Cheng-Te Li and Hsun-Ping Hsieh. MobiCrowd: Simulating Crowds with Periodic and Social Mobility. The 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS). Paris, France, May.5-9, 2014. (poster paper)

Hsun-Ping Hsieh and Cheng-Te Li. Inferring Visiting Time Distributions of Locations from Incomplete Check-in Data. ACM International World Wide Web Conference (WWW). Seoul, Korea, Apr.7-11, 2014. (poster paper)

Hsun-Ping Hsieh and Cheng-Te Li. Inferring Social Relationships from Mobile Sensor Data. ACM International World Wide Web Conference (WWW). Seoul, Korea, Apr.7-11, 2014. (poster paper)

Hsun-Ping Hsieh, Cheng-Te Li, and Shou-De Lin. Measuring and Recommending Time-Sensitive Routes from Location-based Data. ACM Transactions on Intelligent Systems and Technology (TIST), 5(3), No.45, July 2014.

Cheng-Lun Yang, Peng-Hua Kung, Cheng-Te Li, Chun-An Chen, and Shou-De Lin. Sampling Heterogeneous Social Networks. IEEE International Conference on Data Mining (ICDM). Dallas, Texas, USA, Dec.7-10, 2013. (Short Paper, Acceptance Rate = 19.7%)

Hsun-Ping Hsieh, Cheng-Te Li, and Shou-De Lin. Time-Sensitive Route Planning Using Location-based Data. IEEE International Conference on Data Mining (ICDM). Dallas, Texas, USA, Dec.7-10, 2013. (Ph.D. Forum)

Cheng-Te Li, Man-Kwan Shan, and Shou-De Lin. On Team Formation with Expertise Query in Collaborative Social Networks. Knowledge and Information Systems (KAIS), 42, 441-463, February 2015.

Cheng-Te Li and Man-Kwan Shan. X2-Search: Contextual Expert Search in Social Networks. The 2013 International Conference on Technologies and Applications of Artificial Intelligence (TAAI), Taipei, Taiwan, Dec.6-8, 2013.

Chieh-Jen Huang, Cheng-Te Li, and Man-Kwan Shan. VizStory: Visualization of Digital Narrative for Fairy Story. The 2013 International Conference on Technologies and Applications of Artificial Intelligence (TAAI), Taipei, Taiwan, Dec.6-8, 2013.

Shih-Hong Jheng, Cheng-Te Li, and Man-Kwan Shan. Popularity Prediction of Social Multimedia Based on Concept Drift. IEEE International Conference on Social Computing (SocialCom), Washington D.C., USA, Sept.8-14, 2013.

Hsun-Ping Hsieh and Cheng-Te Li. Constructing Routes with User Preference from Location Check-in Data. ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), Zurich, Switzerland, Sept.8-12, 2013.

Yi-Chen Lo, Hung-Che Lai, Cheng-Te Li, and Shou-De Lin. Mining and Generating Large-Scaled Social Networks via MapReduce. Social Network Analysis and Mining (SNAM), 2013.

Shou-De Lin, Mi-Yen Yeh, and Cheng-Te Li. Sampling and Summarization for Social Networks. SIAM International Conference on Data Mining (SDM), Austin, Texas, USA, May.2-4, 2013. (tutorial)

Shou-De Lin, Mi-Yen Yeh, and Cheng-Te Li. Sampling and Summarization for Social Networks. The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Gold Coast, Australia, Apr.14-17, 2013. (tutorial)

Cheng-Te Li, Tsung-Ting Kuo, Chien-Tung Ho, San-Chuan Hong, Wei-Shih Lin, and Shou-De Lin. Modeling and Evaluating Information Propagation in a Microblogging Social Network. Social Network Analysis and Mining Journal (SNAM), 3, 341–357, 2012.

Fang-Fei Kuo, Cheng-Te Li, Man-Kwan Shan, and Suh-Yin Lee. Intelligent Menu Planning: Recommending Sets of Recipes by Ingredients. The 4th International Workshop on Multimedia for Cooking and Eating Activities (CEA). (in conjunction with ACM Multimedia 2012), Nara, Japan, Nov.2, 2012.

Cheng-Te Li and Man-Kwan Shan. Composing Activity Groups in Social Networks. ACM International Conference on Information and Knowledge Management (CIKM), Maui, Hawaii, USA, Oct.29-Nov.2, 2012. (Short Paper, Acceptance Rate = 27.8%)

Cheng-Te Li and Shou-De Lin. Centrality Analysis, Role-based Clustering, and Egocentric Abstraction for Heterogeneous Social Networks. IEEE International Conference on Social Computing (SocialCom), Amsterdam, The Netherlands, Sept.3-6, 2012. (Regular Paper, Acceptacen Rate = 18.5%)

Yi-Chen Lo, Cheng-Te Li, and Shou-De Lin. Parallelizing Preferential Attachment Models for Generating Large-Scale Social Networks that Cannot Fit into Memory. IEEE International Conference on Social Computing (SocialCom), Amsterdam, The Netherlands, Sept.3-6, 2012. (Regular Paper, Acceptacen Rate = 18.5%)

Cheng-Te Li and Shou-De Lin. EvaPlanner: An Evacuation Planner with Social-based Flocking Kinetics. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). Beijing, China, Aug.12-16, 2012. (Demo Paper)

Hsun-Ping Hsieh, Cheng-Te Li, and Shou-De Lin. Exploiting Large-Scale Check-in Data to Recommend Time-Sensitive Routes. ACM SIGKDD International Workshop on Urban Computing (UrbComp). (in conjunction with KDD 2012), Beijing, China, Aug.12, 2012.

Kuan-Wei Wu, Chun-Sung Ferng, Chia-Hua Ho, An-Chun Liang, Chun-Heng Huang, Wei-Yuan Shen, Jyun-Yu Jiang, Ming-Hao Yang, Ting-Wei Lin, Ching-Pei Lee, Perng-Hwa Kung, Chin-En Wang, Ting-Wei Ku, Chun-Yen Ho, Yi-Shu Tai, I-Kuei Chen, Wei-Lun Huang, Che-Ping Chou, Tse-Ju Lin, Han-Jay Yang, Yen-Kai Wang, Cheng-Te Li, Shou-De Lin and Hsuan-Tien Lin. A Two-Stage Ensemble of Diverse Models for Advertisement Ranking in KDD Cup 2012. ACM KDD Cup 2012 Workshop, Beijing, China, Aug.12, 2012. First Prize in Track 2.

Hung-Che Lai, Cheng-Te Li, Yi-Chen Lo, and Shou-De Lin. Exploiting and Evaluating MapReduce for Large-Scale Graph Mining. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Istanbul, Turkey, Aug.26-29, 2012. (Regular Paper, Acceptacen Rate = 25%)

Cheng-Te Li, Hsun-Ping Hsieh, and Shou-De Lin. CrowDiffuse: Information Diffusion over Crowds with Social Network. ACM SIGGRAPH International Conference on Computer Graphics and Interactive Techniques (SIGGRAPH). Los Angeles, California, USA, Aug.5-9, 2012.

Hsun-Ping Hsieh and Cheng-Te Li. Composing Traveling Paths from Location-Based Services. AAAI International Conference on Weblogs and Social Media (ICWSM). Dublin, Ireland, Jun.4-7, 2012. Student Travel Award.

Cheng-Te Li, Man-Kwan Shan, and Shou-De Lin. Dynamic Selection of Activation Targets to Boost the Influence Spread in Social Networks. ACM International World Wide Web Conference (WWW). Lyon, France, Apr.16-20, 2012. (Poster Paper, Acceptance Rate = 28.1%)

Cheng-Te Li, Hsun-Ping Hsieh, Shou-De Lin, and Man-Kwan Shan. Finding Influential Seed Successors in Social Networks. ACM International World Wide Web Conference (WWW). Lyon, France, Apr.16-20, 2012. (Poster Paper, Acceptance Rate = 28.1%)

Cheng-Te Li, Man-Kwan Shan, and Shou-De Lin. Regional Subgraph Discovery in Social Networks. ACM International World Wide Web Conference (WWW). Lyon, France, Apr.16-20, 2012. (Poster Paper, Acceptance Rate = 28.1%)

Cheng-Te Li, Shou-De Lin, and Man-Kwan Shan. Influence Propagation and Maximization in Heterogeneous Social Networks. ACM International World Wide Web Conference (WWW). Lyon, France, Apr.16-20, 2012. (Poster Paper, Acceptance Rate = 28.1%)

Hsun-Ping Hsieh, Cheng-Te Li, and Shou-De Lin. TripRec: Recommending Trip Routes from Large Scale Check-in Data. ACM International World Wide Web Conference (WWW). Lyon, France, Apr.16-20, 2012. (Poster Paper, Acceptance Rate = 28.1%)

Hsun-Ping Hsieh, Cheng-Te Li, and Shou-De Lin. Temporal Social Behavior Search in Heterogeneous Information Networks. ACM International World Wide Web Conference (WWW). Lyon, France, Apr.16-20, 2012. (Poster Paper, Acceptance Rate = 28.1%)

Hsun-Ping Hsieh, Cheng-Te Li, and Shou-De Lin. BeTracker: A System for Finding Behavioral Patterns from Contextual Sensor and Social Data. IEEE International Conference on Data Mining (ICDM), Vancouver, Canada, Dec.11-14, 2011. (demo paper)

Cheng-Te Li, Hsun-Ping Hsieh, and Shou-De Lin. PhotoFeel: Feeling Your Photo Collection by Graph-based Audiovisual Flocking. ACM International Conference on Multimedia (MM). Scottsdale, Arizona, USA, Nov.28-Dec.1, 2011. (short paper)

Cheng-Te Li, Man-Kwan Shan, and Shou-De Lin. Context-based People Search in Labeled Social Networks. ACM International Conference on Information and Knowledge Management (CIKM). Glasgow, Scotland, UK, Oct.24-28, 2011. (short paper)

Fa-Hsien Li, Cheng-Te Li, and Man-Kwan Shan. Labeled Influence Maximization in Social Networks for Target Marketing. IEEE International Conference on Social Computing (SocialCom), MIT, Boston, USA, Oct.9-11, 2011.

Yi-Kuang Ko, Jing-Kai Lou, Cheng-Te Li, Shou-De Lin, and Shyh-Kang Jeng. Social Network Evolution Model Based on Seniority. Social Network Analysis and Mining Journal (SNAM), 2,107-119, 2011.

Cheng-Te Li and Shou-De Lin. Social Flocks: A Crowd Simulation Framework for Social Network Generation, Community Detection, and Collective Behavior Modeling. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). San Diego, California, USA, Aug.21-24, 2011. (demo paper)

Cheng-Te Li, Shou-De Lin, and Man-Kwan Shan. Exploiting Endorsement Information and Social Influence for Item Recommendation. ACM International Conference on Research and Development in Information Retrieval (SIGIR). Beijing, China, Jul.24-28, 2011. Student Travel Grant.

Chien-Tung Ho, Cheng-Te Li, and Shou-De Lin. Modeling and Visualizing Information Propagation in a Micro-blogging Platform. International Conference on Advances in Social Network Analysis and Mining (ASONAM). Kaohsiung, Taiwan, Jul.25-27, 2011. Best Paper Award.

Cheng-Te Li, Chien-Yuan Wang, Chien-Lin Tseng, and Shou-De Lin. MemeTube: A Sentiment-based Audiovisual System for Analyzing and Displaying Microblog Messages. The 49th Annual Meeting of the Association for Computational Linguistics (ACL). Portland, Oregon, USA, Jun.19-24, 2011. (demo paper)

Cheng-Te Li, Shou-De Lin, and Man-Kwan Shan. Finding Influential Mediators in Social Networks. ACM International World Wide Web Conference (WWW). Hyderabad, India, Mar.28-Apr.1, 2011. (poster paper)

Cheng-Te Li and Shou-De Lin. Communication Structure Discovery via Information Asymmetry in an Organizational Social Network. IEEE/WIC/ACM International Conference on Web Intelligence (WI). Toronto, Canada, Aug.31-Sept.3, 2010.

Cheng-Te Li and Man-Kwan Shan. Team Formation for Generalized Tasks in Expertise Social Networks. IEEE International Conference on Social Computing (SocialCom). Minneapolis, Minnesota, USA, Aug.20-22, 2010.

Hsun-Ping Hsieh, and Cheng-Te Li. Mining Temporal Subgraph Patterns in Heterogeneous Information Networks. IEEE International Conference on Social Computing (SocialCom). Minneapolis, Minnesota, USA, Aug.20-22, 2010.

Cheng-Te Li, Hsun-Ping Hsieh, Tsung-Ting Kuo, and Shou-De Lin. SocioCrowd: A Social Network-Based Framework for Crowd Simulation. ACM International Conference on Computer Graphics and Interactive Techniques (SIGGRAPH). Los Angeles, California, USA, Jul.25-29, 2010. Best Student Poster Nomination & ACM Student Research Competition Travel Award.

Cheng-Te Li, and Hsun-Ping Hsieh. Using Social Networks to Explore the Spreading Effects on Crowd Simulation. The 23rd Annual Conference on Computer Animation and Social Agents (CASA). Saint-Malo, France, May.31-Jun.2, 2010.

Cheng-Te Li, Hung-Che Lai, Chien-Tung Ho, Chien-Lin Tseng, and Shou-De Lin. Pusic: Musicalize Microblog Messages for Summarization and Exploration. ACM International World Wide Web Conference (WWW). Raleigh, North Carolina, USA, Apr.46-30, 2010. (demo paper)

Cheng-Te Li and Shou-De Lin. Mining Heterogeneous Social Networks for Egocentric Information Abstraction. Book chapter entitled: From Sociology to Computing in Social Networks: Theory, Foundations and Applications. Lecture Notes in Social Networks, Springer, 2010.

Cheng-Te Li and Shou-De Lin. Egocentric Information Abstraction for Heterogeneous Social Networks. International Conference on Advances in Social Network Analysis and Mining (ASONAM). Athens, Greece, Jul.20-22, 2009.

Shou-De Lin, Hung-Yi Lo, and Cheng-Te Li. Issues of Mining for Heterogeneous Social Networks. The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Bangkok, Thailand, Apr.27-30, 2009. (tutorial)

Cheng-Te Li, Chun-Min Chang, Chien-Pang Liu, Shang-Ze Chen, and Shou-De Lin. Constructing, Analyzing and Visualization Social Networks: Exemplified by the Academia Social Network in Taiwan. Journal of Librarianship and Information Studies, 67:72-87, 2008.

Cheng-Te Li and Man-Kwan Shan. Affective Space Exploration for Impressionism Paintings. IEEE Pacific-Rim Conference on Multimedia (PCM). Tainan, Taiwan, Dec.9-13, 2008.

Cheng-Te Li and Man-Kwan Shan. Emotion-based Impressionism Slideshow with Automatic Music Accompaniment. ACM International Conference on Multimedia (MM'07). Augsburg, Germany, Sept.24-29, 2007.

Cheng-Te Li. Mining Social Networks from the Perspectives of Crowd Simulation and Influence Propagation. Ph.D. Thesis, National Taiwan University, January 2013.

Cheng-Te Li. Mining Heterogeneous Social Networks: Centrality, Clustering, and Abstraction. Master Thesis, National Taiwan University, June 2009.