Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDCheng-Te Li
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j35]Zhiqiang Zhong
, Cheng-Te Li, Jun Pang:
Hierarchical message-passing graph neural networks. Data Min. Knowl. Discov. 37(1): 381-408 (2023)- [j34]I-Chung Hsieh, Cheng-Te Li:
CoANE: Modeling Context Co-Occurrence for Attributed Network Embedding. IEEE Trans. Knowl. Data Eng. 35(1): 167-180 (2023) - [j33]Yi-Ling Hsu, Yu-Che Tsai, Cheng-Te Li:
FinGAT: Financial Graph Attention Networks for Recommending Top-$K$K Profitable Stocks. IEEE Trans. Knowl. Data Eng. 35(1): 469-481 (2023) - [j32]I-Chung Hsieh, Cheng-Te Li:
NetFense: Adversarial Defenses Against Privacy Attacks on Neural Networks for Graph Data. IEEE Trans. Knowl. Data Eng. 35(1): 796-809 (2023) - 2022
- [j31]I-Chung Hsieh, Cheng-Te Li:
Toward an Adaptive Skip-Gram Model for Network Representation Learning. IEEE Access 10: 37506-37514 (2022) - [j30]Zhiqiang Zhong, Cheng-Te Li, Jun Pang:
Personalised meta-path generation for heterogeneous graph neural networks. Data Min. Knowl. Discov. 36(6): 2299-2333 (2022) - [j29]Yu-Tai Lo, Jay Chiehen Liao, Mei-Hua Chen, Chia-Ming Chang, Cheng-Te Li:
Correction to: Predictive modeling for 14-day unplanned hospital readmission risk by using machine learning algorithms. BMC Medical Informatics Decis. Mak. 22(1): 73 (2022) - [j28]Cheng-Te Li, Cheng Hsu, Yang Zhang:
FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings. ACM Trans. Intell. Syst. Technol. 13(1): 16:1-16:21 (2022) - [c102]Hsin-Yu Chen, Cheng-Te Li:
Predicting and Analyzing Privacy Settings and Categories for Posts on Social Media. Big Data 2022: 5692-5697 - [c101]Man-Ho Li, Bo-Yu Chen, Cheng-Te Li:
A Hybird Method with Gravity Model and Nearest-Neighbor Search for Trip Destination Prediction in New Metropolitan Areas. Big Data 2022: 6553-6560 - [c100]Eng-Shen Tu, Yong-Han Chen, En-Chao Liu, Hao-Yun Keng, Cheng-Te Li:
An Embarrassingly Simple Rule-based Visiting Circulation Approach to Trip Destination Prediction. Big Data 2022: 6565-6572 - [c99]I-Chung Hsieh, Cheng-Te Li:
CoANE: Modeling Context Co-occurrence for Attributed Network Embedding. ICDE 2022: 1567-1568 - [c98]Yen-Ting Lee, Cheng-Te Li, Shou-De Lin:
Conditional Sentence Rephrasing without Parallel Training Corpus. ICME Workshops 2022: 1 - [c97]Chih-Chun Yang, Cheng-Te Li, Shou-De Lin:
SMITH: A Self-supervised Downstream-Aware Framework for Missing Testing Data Handling. PAKDD (2) 2022: 499-510 - [c96]Shao-Ping Hsiao, Yu-Che Tsai, Cheng-Te Li:
Unsupervised Post-Time Fake Social Message Detection with Recommendation-aware Representation Learning. WWW (Companion Volume) 2022: 232-235 - [c95]Cheng-Te Li, Lun-Wei Ku, Yu-Che Tsai, Wei-Yao Wang:
SocialNLP'22: 10th International Workshop on Natural Language Processing for Social Media. WWW (Companion Volume) 2022: 849-851 - [i16]Cheng-Te Li, Cheng Hsu, Yang Zhang:
FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings. CoRR abs/2205.00313 (2022) - 2021
- [j27]Cheng-Te Li, Hsin-Yu Chen, Yang Zhang:
On exploring feature representation learning of items to forecast their rise and fall in social media. J. Intell. Inf. Syst. 56(3): 409-433 (2021) - [j26]Chieh-Cheng Hsia, Cheng-Te Li:
Mining Influential Who-to-Post and When-to-Post Curators on Social Networks. J. Inf. Sci. Eng. 37(4): 935-958 (2021) - [j25]Yu-Tai Lo, Jah Chiehen Liao, Mei-Hua Chen, Chia-Ming Chang, Cheng-Te Li:
Predictive modeling for 14-day unplanned hospital readmission risk by using machine learning algorithms. BMC Medical Informatics Decis. Mak. 21-S(1): 288 (2021) - [j24]Khurshed Ali, Cheng-Te Li, Yi-Shin Chen:
Joint Selection of Influential Users and Locations under Target Region in Location-Based Social Networks. Sensors 21(3): 709 (2021) - [j23]Cheng-Te Li, Wei-Chu Wang:
Learning template-free network embeddings for heterogeneous link prediction. Soft Comput. 25(21): 13425-13435 (2021) - [j22]Chih-Te Lai, Cheng-Te Li, Shou-De Lin:
Deep Energy Factorization Model for Demographic Prediction. ACM Trans. Intell. Syst. Technol. 12(1): 8:1-8:16 (2021) - [c94]Yu-Che Tsai, Cheng-Te Li:
CARE: learning convolutional attentional recurrent embedding for sequential recommendation. ASONAM 2021: 654-660 - [c93]Cheng Hsu, Cheng-Te Li, Diego Sáez-Trumper, Yi-Zhan Hsu:
WikiContradiction: Detecting Self-Contradiction Articles on Wikipedia. IEEE BigData 2021: 427-436 - [c92]Khurshed Ali, Chih-Yu Wang, Mi-Yen Yeh, Cheng-Te Li, Yi-Shin Chen:
NEDRL-CIM: Network Embedding Meets Deep Reinforcement Learning to Tackle Competitive Influence Maximization on Evolving Social Networks. DSAA 2021: 1-9 - [c91]Chih-Yao Chen, Cheng-Te Li:
ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning. NAACL-HLT 2021: 3470-3479 - [c90]Cheng Hsu, Cheng-Te Li:
RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation. WWW 2021: 2968-2979 - [e6]Lun-Wei Ku, Cheng-Te Li:
Proceedings of the Ninth International Workshop on Natural Language Processing for Social Media, SocialNLP@NAACL 2021, Online, June 10, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-32-9 [contents] - [i15]Cheng Hsu, Cheng-Te Li:
RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation. CoRR abs/2101.12457 (2021) - [i14]Yi-Ju Lu, Cheng-Te Li:
AGSTN: Learning Attention-adjusted Graph Spatio-Temporal Networks for Short-term Urban Sensor Value Forecasting. CoRR abs/2101.12465 (2021) - [i13]Chih-Yao Chen, Cheng-Te Li:
ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning. CoRR abs/2104.04697 (2021) - [i12]I-Chung Hsieh, Cheng-Te Li:
CoANE: Modeling Context Co-occurrence for Attributed Network Embedding. CoRR abs/2106.09241 (2021) - [i11]Yi-Ling Hsu, Yu-Che Tsai, Cheng-Te Li:
FinGAT: Financial Graph Attention Networks for Recommending Top-K Profitable Stocks. CoRR abs/2106.10159 (2021) - [i10]I-Chung Hsieh, Cheng-Te Li:
NetFense: Adversarial Defenses against Privacy Attacks on Neural Networks for Graph Data. CoRR abs/2106.11865 (2021) - [i9]Cheng Hsu, Cheng-Te Li, Diego Sáez-Trumper, Yi-Zhan Hsu:
WikiContradiction: Detecting Self-Contradiction Articles on Wikipedia. CoRR abs/2111.08543 (2021) - 2020
- [j21]Meeyoung Cha, Wei Gao, Cheng-Te Li:
Detecting fake news in social media: an Asia-Pacific perspective. Commun. ACM 63(4): 68-71 (2020) - [j20]Shu-Kai Zhang, Cheng-Te Li, Shou-De Lin:
A joint optimization framework for better community detection based on link prediction in social networks. Knowl. Inf. Syst. 62(11): 4277-4296 (2020) - [c89]Yi-Ju Lu, Cheng-Te Li:
GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media. ACL 2020: 505-514 - [c88]Ai-Ni Lee, Kuan-Ying Chen, Cheng-Te Li:
ActRec: A Word Embedding-based Approach to Recommend Movie Actors to Match Role Descriptions. ASONAM 2020: 389-392 - [c87]Yizhan Xu, Sungwon Han, Sungwon Park, Meeyoung Cha, Cheng-Te Li:
A Comprehensive and Adversarial Approach to Self-Supervised Representation Learning. IEEE BigData 2020: 709-717 - [c86]Hsin-Yu Chen, Cheng-Te Li:
HENIN: Learning Heterogeneous Neural Interaction Networks for Explainable Cyberbullying Detection on Social Media. EMNLP (1) 2020: 2543-2552 - [c85]Yi-Ju Lu, Cheng-Te Li:
AGSTN: Learning Attention-adjusted Graph Spatio-Temporal Networks for Short-term Urban Sensor Value Forecasting. ICDM 2020: 1148-1153 - [c84]Chang-Ming Tsai, Cheng-Te Li:
TideFC: Learning Temporal Interaction for Dynamic Embedding via Feature Crossing. ICS 2020: 565-569 - [c83]Sundong Kim, Yu-Che Tsai, Karandeep Singh, Yeonsoo Choi, Etim Ibok, Cheng-Te Li, Meeyoung Cha:
DATE: Dual Attentive Tree-aware Embedding for Customs Fraud Detection. KDD 2020: 2880-2890 - [c82]Cheng-Te Li:
Explainable Detection of Fake News and Cyberbullying on Social Media. WWW (Companion Volume) 2020: 398 - [e5]Lun-Wei Ku, Cheng-Te Li:
Proceedings of the Eighth International Workshop on Natural Language Processing for Social Media, SocialNLP@ACL 2020, Online, July 10, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-22-4 [contents] - [i8]Sungwon Han, Yizhan Xu, Sungwon Park, Meeyoung Cha, Cheng-Te Li:
A Comprehensive Approach to Unsupervised Embedding Learning based on AND Algorithm. CoRR abs/2002.12158 (2020) - [i7]Yi-Ju Lu, Cheng-Te Li:
GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media. CoRR abs/2004.11648 (2020) - [i6]Zhiqiang Zhong, Cheng-Te Li, Jun Pang:
Hierarchical Message-Passing Graph Neural Networks. CoRR abs/2009.03717 (2020) - [i5]Zhiqiang Zhong, Cheng-Te Li, Jun Pang:
Adaptive Multi-grained Graph Neural Networks. CoRR abs/2010.00238 (2020) - [i4]Hsin-Yu Chen, Cheng-Te Li:
HENIN: Learning Heterogeneous Neural Interaction Networks for Explainable Cyberbullying Detection on Social Media. CoRR abs/2010.04576 (2020) - [i3]Zhiqiang Zhong, Cheng-Te Li, Jun Pang:
Reinforcement Learning Enhanced Heterogeneous Graph Neural Network. CoRR abs/2010.13735 (2020)
2010 – 2019
- 2019
- [j19]Jia-Yun Jiang, Cheng-Te Li, Shou-De Lin:
Towards a more reliable privacy-preserving recommender system. Inf. Sci. 482: 248-265 (2019) - [j18]Bo-Heng Chen, Cheng-Te Li, Kun-Ta Chuang, Jun Pang, Yang Zhang:
An active learning-based approach for location-aware acquaintance inference. Knowl. Inf. Syst. 59(3): 539-569 (2019) - [j17]Jyun-Yu Jiang, Cheng-Te Li:
Who should I invite: predicting event participants for a host user. Knowl. Inf. Syst. 59(3): 629-650 (2019) - [j16]Hsun-Ping Hsieh, Fandel Lin, Cheng-Te Li, Ian En-Hsu Yen, Hsin-Yu Chen:
Temporal popularity prediction of locations for geographical placement of retail stores. Knowl. Inf. Syst. 60(1): 247-273 (2019) - [j15]Cheng-Te Li:
Mentor-spotting: recommending expert mentors to mentees for live trouble-shooting in Codementor. Knowl. Inf. Syst. 61(2): 799-820 (2019) - [j14]Hsun-Ping Hsieh, Cheng-Te Li:
Inferring Online Social Ties from Offline Geographical Activities. ACM Trans. Intell. Syst. Technol. 10(2): 17:1-17:21 (2019) - [j13]Bo-Heng Chen, Cheng-Te Li, Kun-Ta Chuang:
A check-in shielding scheme against acquaintance inference in location-based social networks. World Wide Web 22(6): 2321-2354 (2019) - [c81]Pei-Chi Wang, Cheng-Te Li:
Spotting Terrorists by Learning Behavior-aware Heterogeneous Network Embedding. CIKM 2019: 2097-2100 - [c80]Yi-Chun Chen, Yu-Che Tsai, Cheng-Te Li:
Query Embedding Learning for Context-based Social Search. CIKM 2019: 2441-2444 - [c79]Yu-Che Tsai, Muzhi Guan, Cheng-Te Li, Meeyoung Cha, Yong Li, Yue Wang:
Predicting New Adopters via Socially-Aware Neural Graph Collaborative Filtering. CSoNet 2019: 155-162 - [c78]Sungkyu Park, Cheng-Te Li, Sungwon Han, Cheng Hsu, Sang Won Lee, Meeyoung Cha:
Learning Sleep Quality from Daily Logs. KDD 2019: 2421-2429 - [c77]Yu-Che Tsai, Chih-Yao Chen, Shao-Lun Ma, Pei-Chi Wang, You-Jia Chen, Yu-Chieh Chang, Cheng-Te Li:
FineNet: a joint convolutional and recurrent neural network model to forecast and recommend anomalous financial items. RecSys 2019: 536-537 - [c76]Ming-Han Feng, Chin-Chi Hsu, Cheng-Te Li, Mi-Yen Yeh, Shou-De Lin:
MARINE: Multi-relational Network Embeddings with Relational Proximity and Node Attributes. WWW 2019: 470-479 - 2018
- [j12]Cheng-Te Li, Yu-Jen Lin, Mi-Yen Yeh:
Forecasting participants of information diffusion on social networks with its applications. Inf. Sci. 422: 432-446 (2018) - [j11]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. Knowl. Inf. Syst. 56(3): 581-611 (2018) - [j10]Cheng-Te Li, Shou-De Lin:
Social Flocks: Simulating Crowds to Discover the Connection Between Spatial-Temporal Movements of People and Social Structure. IEEE Trans. Comput. Soc. Syst. 5(1): 33-45 (2018) - [j9]Cheng-Te Li, Chia-Tai Hsu, Man-Kwan Shan:
A Cross-Domain Recommendation Mechanism for Cold-Start Users Based on Partial Least Squares Regression. ACM Trans. Intell. Syst. Technol. 9(6): 67:1-67:26 (2018) - [j8]Cheng-Te Li, Mei-Yuan Huang, Rui Yan:
Team formation with influence maximization for influential event organization on social networks. World Wide Web 21(4): 939-959 (2018) - [c75]Cheng-Te Li, Yi-Chun Chen:
Query Embedding Learning for Context-based Social Search. CIKM Workshops 2018 - [c74]Yiping Song, Cheng-Te Li, Jian-Yun Nie, Ming Zhang, Dongyan Zhao, Rui Yan:
An Ensemble of Retrieval-Based and Generation-Based Human-Computer Conversation Systems. IJCAI 2018: 4382-4388 - [c73]Lo Pang-Yun Ting, Cheng-Te Li, Kun-Ta Chuang:
Predictive Team Formation Analysis via Feature Representation Learning on Social Networks. PAKDD (3) 2018: 790-802 - [c72]Jyun-Yu Jiang, Cheng-Te Li, Yian Chen, Wei Wang:
Identifying Users behind Shared Accounts in Online Streaming Services. SIGIR 2018: 65-74 - [c71]Yang Zhang, Mathias Humbert, Tahleen A. Rahman, Cheng-Te Li, Jun Pang, Michael Backes:
Tagvisor: A Privacy Advisor for Sharing Hashtags. WWW 2018: 287-296 - [c70]Cheng-Te Li, Lun-Wei Ku:
SocialNLP@WWW 2018 Chairs' Welcome & Organization. WWW (Companion Volume) 2018: 1651-1652 - [e4]Lun-Wei Ku, Cheng-Te Li:
Proceedings of the Sixth International Workshop on Natural Language Processing for Social Media, SocialNLP@ACL 2018, Melbourne, Australia, July 20, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-48-3 [contents] - [r2]Cheng-Te Li, Hsun-Ping Hsieh, Tsung-Ting Kuo, Shou-De Lin:
Opinion Diffusion and Analysis on Social Networks. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i2]Yang Zhang, Mathias Humbert, Tahleen A. Rahman, Cheng-Te Li, Jun Pang, Michael Backes:
Tagvisor: A Privacy Advisor for Sharing Hashtags. CoRR abs/1802.04122 (2018) - 2017
- [c69]Hsin-Yu Chen, Cheng-Te Li:
PSEISMIC: A personalized self-exciting point process model for predicting tweet popularity. IEEE BigData 2017: 2710-2713 - [c68]Cheng-Te Li:
Influence Maximization-Based Event Organization on Social Networks. PAP@PKDD/ECML 2017: 155-158 - [e3]Lun-Wei Ku, Cheng-Te Li:
Proceedings of the Fifth International Workshop on Natural Language Processing for Social Media, SocialNLP@EACL 2017, Valencia, Spain, April 3, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-42-5 [contents] - [i1]Jia-Yun Jiang, Cheng-Te Li, Shou-De Lin:
Towards a More Reliable Privacy-preserving Recommender System. CoRR abs/1711.07638 (2017) - 2016
- [j7]Cheng-Te Li, Man-Kwan Shan, Shih-Hong Jheng, Kuan-Ching Chou:
Exploiting concept drift to predict popularity of social multimedia in microblogs. Inf. Sci. 339: 310-331 (2016) - [c67]Rui Yan, Cheng-Te Li, Xiaohua Hu, Ming Zhang:
Chinese Couplet Generation with Neural Network Structures. ACL (1) 2016 - [c66]Jyun-Yu Jiang, Cheng-Te Li:
Forecasting Geo-sensor Data with Participatory Sensing Based on Dropout Neural Network. CIKM 2016: 2033-2036 - [c65]Lu Zhou, Yang Zhang, Jun Pang, Cheng-Te Li:
Modeling City Locations as Complex Networks: An initial study. COMPLEX NETWORKS 2016: 735-747 - [c64]Kai-Hsiang Hsu, Cheng-Te Li, Chien-Lin Tseng:
Who Will Respond to Your Requests for Instant Trouble-Shooting? ICWSM 2016: 591-594 - [c63]Jyun-Yu Jiang, Cheng-Te Li:
Analyzing Social Event Participants for a Single Organizer. ICWSM 2016: 599-602 - [c62]Hsun-Ping Hsieh, Rui Yan, Cheng-Te Li:
Will I Win Your Favor? Predicting the Success of Altruistic Requests. PAKDD (1) 2016: 177-188 - [c61]Rui Yan, Cheng-Te Li, Hsun-Ping Hsieh, Po Hu, Xiaohua Hu, Tingting He:
Socialized Language Model Smoothing via Bi-directional Influence Propagation on Social Networks. WWW 2016: 1395-1406 - [e2]Lun-Wei Ku, Jane Yung-jen Hsu, Cheng-Te Li:
Proceedings of The Fourth International Workshop on Natural Language Processing for Social Media, SocialNLP@EMNLP 2016, Austin, TX, USA, November 1, 2016. Association for Computational Linguistics 2016, ISBN 978-1-945626-32-6 [contents] - 2015
- [j6]Cheng-Te Li, Man-Kwan Shan, Shou-De Lin:
On team formation with expertise query in collaborative social networks. Knowl. Inf. Syst. 42(2): 441-463 (2015) - [j5]Cheng-Te Li, Chieh-Jen Huang, Man-Kwan Shan:
Automatic generation of visual story for fairy tales with digital narrative. Web Intell. 13(2): 115-122 (2015) - [c60]Cheng-Te Li, Yu-Jen Lin, Mi-Yen Yeh:
The roles of network communities in social information diffusion. IEEE BigData 2015: 391-400 - [c59]Yen-Kai Wang, Wei-Ming Chen, Cheng-Te Li, Shou-De Lin:
Identifying smallest unique subgraphs in a heterogeneous social network. IEEE BigData 2015: 757-766 - [c58]Hsun-Ping Hsieh, Rui Yan, Cheng-Te Li:
Where You Go Reveals Who You Know: Analyzing Social Ties from Millions of Footprints. CIKM 2015: 1839-1842 - [c57]Hsun-Ping Hsieh, Cheng-Te Li, Xiaoqing Gao:
T-Gram: A Time-Aware Language Model to Predict Human Mobility. ICWSM 2015: 614-617 - [c56]Rui Yan, Yiping Song, Cheng-Te Li, Ming Zhang, Xiaohua Hu:
Opportunities or Risks to Reduce Labor in Crowdsourcing Translation? Characterizing Cost versus Quality via a PageRank-HITS Hybrid Model. IJCAI 2015: 1025-1032 - [c55]Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin:
Measuring and Recommending Time-Sensitive Routes from Location-based Data. IJCAI 2015: 4193-4196 - [c54]Hsun-Ping Hsieh, Tzu-Chi Yen, Cheng-Te Li:
What Makes New York So Noisy?: Reasoning Noise Pollution by Mining Multimodal Geo-Social Big Data. ACM Multimedia 2015: 181-184 - [c53]Hsun-Ping Hsieh, Rui Yan, Cheng-Te Li:
Dissecting Urban Noises from Heterogeneous Geo-Social Media and Sensor Data. ACM Multimedia 2015: 1103-1106 - [c52]Cheng-Te Li, Yu-Jen Lin, Rui Yan, Mi-Yen Yeh:
Trend-Based Citation Count Prediction for Research Articles. PAKDD (1) 2015: 659-671 - [c51]Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin:
Estimating Potential Customers Anywhere and Anytime Based on Location-Based Social Networks. ECML/PKDD (2) 2015: 576-592 - [c50]Hsun-Ping Hsieh, Cheng-Te Li, Rui Yan:
I See You: Person-of-Interest Search in Social Networks. SIGIR 2015: 839-842 - [c49]Yu-Yueh Huang, Cheng-Te Li, Shyh-Kang Jeng:
Mining location-based social networks for criminal activity prediction. WOCC 2015: 185-189 - [c48]Rui Yan, Ian En-Hsu Yen, Cheng-Te Li, Shiqi Zhao, Xiaohua Hu:
Tackling the Achilles Heel of Social Networks: Influence Propagation based Language Model Smoothing. WWW 2015: 1318-1328 - [c47]Cheng-Te Li, Hsun-Ping Hsieh:
Geo-Social Media Analytics. WWW (Companion Volume) 2015: 1533-1534 - [e1]Shou-de Lin, Lun-Wei Ku, Cheng-Te Li, Erik Cambria:
Proceedings of the third International Workshop on Natural Language Processing for Social Media, SocialNLP@NAACL 2015, Denver, Colorado, USA, June 5, 2015. Association for Computational Linguistics 2015, ISBN 978-1-941643-48-8 [contents] - 2014
- [j4]Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin:
Measuring and Recommending Time-Sensitive Routes from Location-Based Data. ACM Trans. Intell. Syst. Technol. 5(3): 45:1-45:27 (2014) - [c46]Cheng-Te Li, Hsun-Ping Hsieh:
MobiCrowd: simulating crowds with periodic and social mobility. AAMAS 2014: 1627-1628 - [c45]Hsun-Ping Hsieh, Cheng-Te Li:
Mining and Planning Time-aware Routes from Check-in Data. CIKM 2014: 481-490 - [c44]Han Su, Man-Kwan Shan, Ting-Wei Lin, Janet Chang, Cheng-Te Li:
Automatic recipe cuisine classification by ingredients. UbiComp Adjunct 2014: 565-570 - [c43]Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin:
Trip Router: A Time-Sensitive Route Recommender System. ICDM Workshops 2014: 1207-1210 - [c42]Hsun-Ping Hsieh, Cheng-Te Li:
Traveling Path Recommendation Using Temporal Transit Patterns. ICWSM 2014 - [c41]Hsun-Ping Hsieh, Cheng-Te Li:
Mining Time-Aware Transit Patterns for Route Recommendation in Big Check-in Data. PAKDD Workshops 2014: 818-830 - [c40]Hsun-Ping Hsieh, Cheng-Te Li:
Inferring social relationships from mobile sensor data. WWW (Companion Volume) 2014: 293-294 - [c39]