Menu

Faculty

師資介紹

姓 名 李政德
職 稱 副教授
專長領域 機器學習、深度學習、資料探勘、社群網路分析、推薦系統、自然語言處理、物聯網與智慧城市
電子信箱 chengte@ncku.edu.tw
辦公室 管理學院統計系館4樓62443室
聯絡電話 (06)2757575~53628
個人網頁 https://sites.google.com/view/chengteli/
經 歷(Main Experiences)
  • 成功大學統計學系/數據科學所副教授(2019.02-目前)
  • 成功大學統計學系/數據科學所助理教授(2016.08-2019.01)
  • 盧森堡大學資訊科學系訪問學者(2016.05-2016.07)
  • 中央研究院資訊科技創新研究中心助研究員(2014.06-2016.07)
  • 中央研究院資訊科學所博士後研究員(2014.03-2016.05)
學歷(Education)
  • 臺灣大學資訊網路與多媒體研究所博士(2013.01)
  • 臺灣大學資訊網路與多媒體研究所(2009.06)
  • 政治大學資訊科學系學士(2007.06)
研究方向(Research Field)
  • 網路特徵表示學習
  • 社群資訊散播預測
  • 深度學習推薦系統
  • 深度學習之自然語言處理應用
  • 機器學習之智慧城市與物聯網應用
期刊論文

1. 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. [SCI, IF=3.275]

2. 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), January 2021. [SCI, IF=1.813]

3. 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), No. 8, November 2020. [SCI, IF=2.973]

4. 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, 2020. [SCI, IF=2.936]

5. 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, 2020. [SCI, IF=5.826]

6. Hong-Yu Lin and Cheng-Te Li. Structural Hierarchy-Enhanced Network Representation Learning. Applied Sciences, 10(20), 7214, 2020. [SCI, IF=2.474]

7. Zi-Yun Zeng and Cheng-Te Li. Learning Effective Feature Representation against User Privacy Protection on Social Networks. Applied Sciences, 10(14), 4835, 2020. [SCI, IF=2.474]

8. 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, 2020. [SCI, IF=2.474]

9. 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) 2020. (to appear) [SCI, IF=0.541]

10.  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, 2019. [SCI, IF=2.973]

11.  Cheng-Te Li. Mentor-Spotting: Recommending Expert Mentors to Mentees for Live Trouble-Shooting in Codementor. Knowledge and Information Systems (KAIS), 61(2), 799-820, 2019. [SCI, IF=2.247]

12.  Jia-Yun Jiang, Cheng-Te Li, and Shou-De Lin. Towards A More Reliable Privacy-Preserving Recommendation Systems. Information Sciences, 482, 248-265, 2019. [SCI, IF=4.305]

13.  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(1), 247-273, 2019. [SCI, IF=2.247]

14.  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, 2019. [SCI, IF=2.247]

15.  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, 2019. [SCI, IF=2.247]

16.  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 (WWWJ), 22: 2321-2354, 2019.
[SCI, IF=1.150]

17.  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, 2018. [SCI, IF=2.973]

18.  Cheng-Te Li and Shou-De Lin. Simulating Crowds to Discover the Connection between Spatial-Temporal Movements of People and Social Structures. IEEE Transactions on Computational Social Systems (TCSS), 5(1), 33-45, 2018.

19.  Cheng-Te Li, Yu-Jen Lin, and Mi-Yen Yeh. Forecasting the Participants of Information Diffusion on Social Networks with its Applications. Information Sciences, 422, 432-446, 2018. [SCI, IF=4.305]

20.  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(4), 939-959, 2018. [SCI, IF=1.150]

21.  Cheng-Te Li, Hsin-Yu Chen, Ren-Hao Chen, 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, 2018. [SCI, IF=2.247]

22.  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, 2016. [SCI, IF=4.305]

23.  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, 2015. [SCI, IF=2.247]

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

25.  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), 45:1-45:27, 2014. [SCI, IF=2.973]

26.  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), 3(4), 1449-1469, 2013.

27.  Cheng-Te Li, Tsung-Ting Kuo, Chien-Tong Ho, and Shou-De Lin. Modeling and Evaluating Information Propagation in Microblogs. Social Network Analysis and Mining Journal (SNAM), 3(3), 341-357, 2013.

28.  Cheng-Te Li, Chun-Min Chang, Chien-Pang Liu, Shang-Tse 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.

研討會論文

1. Cheng Hsu and Cheng-Te Li. RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation. The Web Conference (WWW) 2021. [AR = 20%]

2. *Yi-Zhan Xu, *Sungwon Han, Sungwon Park, Meeyoung Cha, and Cheng-Te Li. A Comprehensive and Adversarial Approach to Self-Supervised Representation Learning. Proceedings of IEEE International Conference on Big Data (IEEE-BigData) 2020. (*: Equal Contribution) [AR=16%]

3. Ai-Ni Lee, Kuan-Ying Chen, and Cheng-Te Li. ActRec: A Word Embedding-based Approach to Recommend Movie Actors to Match Role Descriptions. Proceedings of IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM) 2020. [AR=18%]

4. 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, 2020. (Domestic Paper) Best Paper Award 1st Place

5. 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, 2020 (Domestic Paper)

6. Hsin-Yu Chen and Cheng-Te Li. 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 (EMNLP), 2543-2552, 2020. [AR=22%]

7. Yi-Ju Lu and Cheng-Te Li. AGSTN: Learning Attention-adjusted Graph Spatio-Temporal Networks for Short-term Urban Sensor Value Forecasting. Proceedings of IEEE International Conference on Data Mining (ICDM). 2020. (to appear) [AR=18%]

8. *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. Proceedings of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). 2880-2890, 2020. (*: Equal Contribution) [AR=16%]

9. Yi-Ju Lu and Cheng-Te Li. 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 (ACL), 505-514, 2020. [AR=22%]

10.  I-Chung Hsieh and Cheng-Te Li. Towards an Adaptive Skip-gram Model for Network Representation Learning. Proceedings of The Thirty-third Annual Conference on Neural Information Processing Systems (NeurIPS) Workshop on Graph Representation Learning (GRL) 2019.

11.  Pei-Chi Wang and Cheng-Te Li. Spotting Terrorists by Learning Behavior-aware Heterogeneous Network Embedding. Proceedings of ACM International Conference on Information and Knowledge Management (CIKM), 2097-2100, 2019. (short paper) [AR=21%]

12.  Yi-Chun Chen, Yu-Che Tsai, and Cheng-Te Li. Query Embedding Learning for Context-based Social Search. Proceedings of ACM International Conference on Information and Knowledge Management (CIKM), 2441-2444, 2019. (short paper) [AR=21%]

13.  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. Proceedings of ACM International Conference on Recommender Systems (RecSys). 536-537, 2019. (Technical Demo)

14.  Sungkyu Park, Cheng-Te Li, Sungwon Han, Cheng Hsu, Sang Won Lee, and Meeyoung Cha. Learning Sleep Quality from Daily Logs. Proceedings of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2421-2429, 2019. [AR=14%]

15.  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. Proceedings of The Web Conference (WWW), 470-479, 2019. [AR=18%]

16.  Jyun-Yu Jiang, Cheng-Te Li, Yi-An Chen, and Wei Wang. Identifying Users behind Shared Accounts in Online Streaming Services. Proceedings of ACM SIGIR International Conference on Research and Development in Information Retrieval (SIGIR), 65-74, 2018. [AR=21%]

17.  Yiping 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. Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI), 4382-4388, 2018. [AR=20%]

18.  Lo-Pang-Yun Ting, Cheng-Te Li, and Kun-Ta Chuang. Predictive Social Team Formation Analysis via Feature Representation Learning. Proceedings of the 22th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 790-802, 2018. [AR=18%]

19.  Yang Zhang, Mathias Humbert, Tahleen Rahman, Cheng-Te Li, Jun Pang, and Michael Backes. Tagvisor: A Privacy Advisor for Sharing Hashtags. Proceedings of The Web Conference (WWW), 287-296, 2018. [AR=15%]

20.  Hsin-Yu Chen and Cheng-Te Li. PSEISMIC: A Personalized Self-Exciting Point Process Model for Predicting Tweet Popularity. Proceedings of IEEE International Conference on Big Data (BigData), 2710-2713, 2017.

21.  Jyun-Yu Jiang and Cheng-Te Li. Forecasting Geo-Sensor Data with Participatory Sensing Based on Dropout Neural Network. Proceedings of ACM International Conference on Information and Knowledge Management (CIKM), 2033-2036, 2016. (Short Paper)

22.  Rui Yan, Cheng-Te Li, Xiaohua Hu, and Ming Zhang. Chinese Couplet Generation with Neural Network Structures. Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL), 2347–2357, 2016. [AR=25%]

23.  Jyun-Yu Jiang and Cheng-Te Li. Analyzing Social Event Participants for a Single Organizer. Proceedings of AAAI International Conference on Web and Social Media (ICWSM), 599-602, 2016. (Short Paper)

24.  Rui Yan, Cheng-Te Li, Hsun-Ping Hsieh, Po Hu, Xiaohua Hu, and Tingting He. Inferring Bi-directional Influence for Language Model Smoothing on Social Networks. Proceedings of ACM International World Wide Web Conference (WWW), 1395-1406, 2016. [AR=16%]

25.  Hsun-Ping Hsieh, Rui Yan, and Cheng-Te Li. Will I Win Your Favor? Predicting the Success of Altruistic Requests. Proceedings of the 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 177-188, 2016. [AR=13%]

26.  Cheng-Te Li, Yu-Jen Lin, and Mi-Yen Yeh. The Roles of Network Communities on Social Information Diffusion. Proceedings of IEEE International Conference on Big Data (BigData), 391-400, 2015. [AR=17%]

27.  Yen-Kai Wang, Wei-Ming Chen, Cheng-Te Li, and Shou-De Lin. Identifying Smallest Unique Subgraphs in a Heterogeneous Social Network. Proceedings of IEEE International Conference on Big Data (BigData), 757-766, 2015. [AR=17%]

28.  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. Proceedings of ACM International Conference on Multimedia (MM), 181-184, 2015. (Grand Challenge Finalist)

29.  Hsun-Ping Hsieh, Rui Yan, and Cheng-Te Li. Dissecting Urban Noises from Heterogeneous Geo-Social Media and Sensor Data. Proceedings of ACM International Conference on Multimedia (MM), 1103-1106, 2015. (Short Paper)

30.  Hsun-Ping Hsieh, Rui Yan, and Cheng-Te Li. Where You Go Reveals Who You Know: Analyzing Social Ties from Millions of Footprints. Proceedings of ACM International Conference on Knowledge and Information Management (CIKM), 1839-1842, 2015. (Short Paper) [AR=25%]

31.  Hsun-Ping Hsieh, Cheng-Te Li, and Shou-De Lin. Estimating Customers Anywhere and Anytime on Location-based Social Networks. Proceedings of the 30th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), 576-592, 2015. [AR=23%]

32.  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. Proceedings of ACM SIGKDD International Workshop on Urban Computing (UrbComp), in conjunction with KDD 2015.

33.  Hsun-Ping Hsieh, Cheng-Te Li, and Rui Yan. I See You: Person-of-Interest Search in Social Networks. Proceedings of ACM SIGIR International Conference on Information Retrieval (SIGIR), 839-842, 2015. (Short Paper)

34.  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. Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI), 1025-1032, 2015. [AR=29%]

35.  Hsun-Ping Hsieh, Cheng-Te Li, and Xiaoqing Gao. T-gram: A Time-aware Language Model to Predict Human Mobility. Proceedings of AAAI International Conference on Web and Social Media (ICWSM), 614-617, 2015. (Short Paper)

36.  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. Proceedings of ACM International World Wide Web Conference (WWW), 1318-1328, 2015. [AR=14%]

37.  Cheng-Te Li, Yu-Jen Lin, Rui Yan, and Mi-Yen Yeh. Trend-based Citation Count Prediction for Research Articles. Proceedings of the 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 659-671, 2015. [AR=22%]

38.  Hsun-Ping Hsieh and Cheng-Te Li. Mining and Planning Pleasant Routes with Check-in Data. Proceedings of ACM International Conference on Knowledge and Information Management (CIKM), 481-490, 2014. [AR=21%]

39.  Hsun-Ping Hsieh and Cheng-Te Li. Mining Time-aware Transit Patterns for Route Recommendation in Big Check-in Data. Proceedings of International Workshop on Pattern Mining and Application of Big Data (BigPMA). (in conjunction with PAKDD 2014), 818-830, 2014. Best Paper Award

40.  Hsun-Ping Hsieh and Cheng-Te Li. Inferring Visiting Time Distributions of Locations from Incomplete Check-in Data. Proceedings of ACM International World Wide Web Conference (WWW’14), 293-294, 2014. (Poster)

41.  Hsun-Ping Hsieh and Cheng-Te Li. Inferring Social Relationships from Mobile Sensor Data. Proceedings of ACM International World Wide Web Conference (WWW’14), 295-296, 2014. (Poster)

42.  Cheng-Lun Yang, Peng-Hua Kung, Cheng-Te Li, Chun-An Chen, and Shou-De Lin. Sampling Heterogeneous Social Networks. Proceedings of IEEE International Conference on Data Mining (ICDM’13), 1247-1252, 2013. (Short Paper) [AR=19%]

43.  Cheng-Te Li and Man-Kwan Shan. X2-Search: Contextual Expert Search in Social Networks. Proceedings of 2013 International Conf. on Technologies and Applications of Artificial Intelligence (TAAI’13), 176-181, 2013.

44.  Chieh-Jen Huang, Cheng-Te Li, and Man-Kwan Shan. VizStory: Visualization of Digital Narrative for Fairy Story. Proceedings of the 2013 International Conference on Technologies and Applications of Artificial Intelligence (TAAI’13), 67-72, 2013.

45.  Shih-Hong Jheng, Cheng-Te Li, Hsin-Lin Chen, and Man-Kwan Shan. Popularity Prediction of Social Multimedia Based on Concept Drift. Proceedings of IEEE International Conference on Social Computing (SocialCom’13), 821-826, 2013.

46.  Fang-Fei Kuo, Cheng-Te Li, Man-Kwan Shan, and Suh-Yin Lee. Intelligent Menu Planning: Recommending Sets of Recipes by Ingredients. Proceedings of the 4th International Workshop on Multimedia for Cooking and Eating Activities (CEA’12), in conjunction with ACM Multimedia 2012.

47.  Cheng-Te Li and Man-Kwan Shan. Composing Activity Groups in Social Networks. Proceedings of ACM International Conf. on Knowledge and Information Management (CIKM’12), 2375-2378, 2012. (Short Paper)

48.  Cheng-Te Li and Shou-De Lin. Centrality Analysis, Role-based Clustering, and Egocentric Abstraction for Heterogeneous Social Networks. Proceedings of IEEE International Conference on Social Computing (SocialCom’12), 1-10, 2012. [AR=23%]

49.  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. Proceedings of IEEE International Conference on Social Computing (SocialCom’12), 229-238, 2012. [AR=23%]

50.  Cheng-Te Li and Shou-De Lin. EvaPlanner: An Evacuation Planner with Social-based Flocking Kinetics. Proceedings of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’12), 1568-1571, 2012. (Technical Demo)

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

52.  Hung-Che Lai, Cheng-Te Li, Yi-Chen Lo, and Shou-De Lin. Exploiting and Evaluating MapReduce for Large-Scale Graph Mining. Proceedings of IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM’12), 434-441, 2012. [AR=16%]

53.  Cheng-Te Li, Man-Kwan Shan, and Shou-De Lin. Dynamic Selection of Activation Targets to Boost the Influence Spread in Social Networks. Proceedings of ACM International World Wide Web Conference (WWW’12), 561-562, 2012. (Poster)

54.  Cheng-Te Li, Hsun-Ping Hsieh, Shou-De Lin, and Man-Kwan Shan. Finding Influential Seed Successors in Social Networks. Proceedings of ACM International World Wide Web Conference (WWW’12), 557-558, 2012. (Poster)

55.  Cheng-Te Li, Man-Kwan Shan, and Shou-De Lin. Regional Subgraph Discovery in Social Networks. Proceedings of ACM International World Wide Web Conference (WWW’12), 563-564, 2012.
(Poster)

56.  Cheng-Te Li, Shou-De Lin, and Man-Kwan Shan. Influence Propagation and Maximization in Heterogeneous Social Networks. Proceedings of ACM International World Wide Web Conference (WWW’12), 559-560, 2012. (Poster)

57.  Hsun-Ping Hsieh, Cheng-Te Li, and Shou-De Lin. BeTracker: A System for Finding Behavioral Patterns from Contextual Sensor and Social Data. Proceedings of IEEE International Conference on Data Mining (ICDM’11), 1227-1230, 2011. (Technical Demo)

58.  Cheng-Te Li, Hsun-Ping Hsieh, and Shou-De Lin. PhotoFeel: Feeling Your Photo Collection with Graph-based Audiovisual Flocking. Proceedings of ACM International Conference on Multimedia (MM’11), 1553-1556, 2011. (Short Paper)

59.  Cheng-Te Li, Man-Kwan Shan, and Shou-De Lin. Context-based People Search in Labeled Social Networks. Proceedings of ACM International Conference on Information and Knowledge Management (CIKM’11), 1607-1612, 2011. (Short Paper) [AR=20%]

60.  Fa-Hsien Li, Cheng-Te Li, and Man-Kwan Shan. Labeled Influence Maximization in Social Networks for Target Marketing. Proceedings of IEEE International Conference on Social Computing (SocialCom’11), 560-563, 2011.

61.  Cheng-Te Li and Shou-De Lin. Social Flocks: A Crowd Simulation Framework for Social Network Generation, Community Detection, and Collective Behavior Modeling. Proceedings of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’11), 765-768, USA, 2011. (Technical Demo)

62.  Cheng-Te Li, Shou-De Lin, and Man-Kwan Shan. Exploiting Endorsement Information and Social Influence for Item Recommendation. Proceedings of ACM SIGIR International Conference on Research and Development in Information Retrieval (SIGIR’11), 1131-1132, 2011. (Short Paper)

63.  Chien-Tong Ho, Cheng-Te Li, and Shou-De Lin. Modeling and Visualizing Information Propagation in a Micro-blogging Platform. Proceedings of IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM’11), 328-335, 2011. [AR=23%] Best Full Paper Award.

64.  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. Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics (ACL’11), 32-37, 2011. (Technical Demo)

65.  Cheng-Te Li, Shou-De Lin, and Man-Kwan Shan. Finding Influential Mediators in Social Networks. Proceedings of ACM International World Wide Web Conference (WWW’11), 75-76, 2011. (poster)

66.  Cheng-Te Li and Shou-De Lin. Communication Structure Discovery via Information Asymmetry in an Organizational Social Network. Proceedings of IEEE/WIC/ACM International Conference on Web Intelligence (WI’10), 524-527, 2010.

67.  Cheng-Te Li and Man-Kwan Shan. Team Formation for Generalized Tasks in Expertise Social Networks. Proceedings of IEEE International Conference on Social Computing (SocialCom’10), 9-16, 2010. [AR=13%]

68.  Hsun-Ping Hsieh and Cheng-Te Li. Mining Temporal Subgraph Patterns in Heterogeneous Information Networks. Proceedings of IEEE International Conference on Social Computing (SocialCom’10), Symposium on Social Intelligence and Networking, 282-287, 2010.

69.  Cheng-Te Li and Shou-De Lin. Egocentric Information Abstraction for Heterogeneous Social Networks. Proceedings of IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM’09), 255-260, 2009. [AR=25%]

70.  Cheng-Te Li and Man-Kwan Shan. Affective Space Exploration for Impressionism Paintings. Proceedings of IEEE Pacific-Rim Conference on Multimedia (PCM’08), 387-396, 2008.

71. Cheng-Te Li and Man-Kwan Shan. Emotion-based Impressionism Slideshow with Automatic Music Accompaniment. Proceedings of ACM International Conference on Multimedia (MM’07), 839-842, 2007.
(Short Paper) [AR=26%]

其他著作

1. Cheng-Te Li, Hsun-Ping Hsieh, Tsung-Ting Kuo, and Shou-De Lin. Opinion Diffusion and Analysis on Social Networks. Encyclopedia on Social Network Analysis and Mining (ESNAM), 1212-1218, 2014.

2. 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 (LNSN), Springer, 1(2):35-58, 2010.

獎勵榮譽
  • 2020 TAAI 2020 Best Paper Award 1st Place. (Domestic Track)
  • 2020 MOST FutureTech Award. (科技部未來科技獎)
  • 2020 NCKU College of Management, Distinguished Research Award. (成功大學管理學院研究傑出獎)
  • 2020 National Cheng Kung University Outstanding Teaching Award. (成功大學教學優良獎)
  • 2020 K. T. Li Young Researcher Award. (李國鼎青年研究獎)
  • 2020 ACM WSDM 2020 Outstanding Program Committee Member Honor.
  • 2018 MOST Young Scholar Fellowship, The Columbus Program (Taiwan). (哥倫布計畫)
  • 2018 Taiwan Comprehensive University Young Scholar Research Award: Honorable Mention.
  • 2017 MOST Outstanding Young Scholars Project. (科技部優秀年輕學者計畫)
  • 2016 Exploration Research Award of Pan Wen Yuan Foundation. (潘文淵考察研究獎)
  • 2015 ACM Multimedia 2015 Grand Challenge Finalist.
  • 2013 TAAI Ph.D. Dissertation Merit Award 2013.
  • 2012 National Taiwan University Outstanding Performance Award.
  • 2012 ACM KDD Cup 2012, First Prize. (Member of NTU team).
  • 2012 Facebook Fellowship Finalist Award 2012.
  • 2011 Best Full Paper Award @ IEEE/ACM ASONAM 2011.
  • 2010 Microsoft Research Asia Fellowship 2010.