Cheng-Te Li

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 120

Top Venues

CoRR

WWW (Companion Volume)

CIKM

ACM Trans. Intell. Syst. Technol.

Publications

Cheng-Te Li, Yu-Che Tsai, Chih-Yao Chen, Jay Chiehen Liao
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions. CoRR (2024)
Karandeep Singh, Yu-Che Tsai, Cheng-Te Li, Meeyoung Cha, Shou-De Lin
GraphFC: Customs Fraud Detection with Label Scarcity. CoRR (2023)
Zhiqiang Zhong, Cheng-Te Li, Jun Pang
Multi-Grained Semantics-Aware Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne 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
Tutorials at The Web Conference 2023. WWW (Companion Volume) (2023)
Cheng-Te Li, Yu-Che Tsai, Jay Chiehen Liao
Graph Neural Networks for Tabular Data Learning. ICDE (2023)
Zhiqiang Zhong, Cheng-Te Li, Jun Pang
Hierarchical message-passing graph neural networks. Data Min. Knowl. Discov. 37 (1) (2023)
Yi-Zhan Xu, Chih-Yao Chen, Cheng-Te Li
SUVR: A Search-Based Approach to Unsupervised Visual Representation Learning. ICASSP (2023)
Karandeep Singh, Yu-Che Tsai, Cheng-Te Li, Meeyoung Cha, Shou-De Lin
GraphFC: Customs Fraud Detection with Label Scarcity. CIKM (2023)
Yizhan Xu, Chih-Yao Chen, Cheng-Te Li
SUVR: A Search-based Approach to Unsupervised Visual Representation Learning. CoRR (2023)
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) (2023)
Chu-Chen Li, Cheng-Te Li, Shou-De Lin
Learning Privacy-Preserving Embeddings for Image Data to Be Published. ACM Trans. Intell. Syst. Technol. 14 (6) (2023)
Tzu-Hsuan Yang, Cheng-Te Li
When Contrastive Learning Meets Graph Unlearning: Graph Contrastive Unlearning for Link Prediction. BigData (2023)
Hsin-Yu Chen, Cheng-Te Li, Ting-Yu Chen
Semi-supervised Curriculum Ensemble Learning for Financial Precision Marketing. CIKM (2023)
Kuan-Chun Chen, Cheng-Te Li, Kuo-Jung Lee
DDNAS: Discretized Differentiable Neural Architecture Search for Text Classification. ACM Trans. Intell. Syst. Technol. 14 (5) (2023)
Yen-Wen Lu, Cheng-Te Li
Fraudulent User Detection with Time-enhanced Graph Neural Networks on E-Commerce Platforms. ICCE-Taiwan (2023)
I-Chung Hsieh, Cheng-Te Li
CoANE: Modeling Context Co-Occurrence for Attributed Network Embedding. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Kuan-Chun Chen, Cheng-Te Li, Kuo-Jung Lee
DDNAS: Discretized Differentiable Neural Architecture Search for Text Classification. CoRR (2023)
Cayon Liow, Cheng-Te Li, Chun-Pai Yang, Shou-De Lin
Pseudo Triplet Networks for Classification Tasks with Cross-Source Feature Incompleteness. CIKM (2023)
Kuan-Chun Chen, Chih-Yao Chen, Cheng-Te Li
ANTI-Disinformation: An Adversarial Attack and Defense Network Towards Improved Robustness for Disinformation Detection on Social Media. BigData (2023)
Jay Chiehen Liao, Cheng-Te Li
TabGSL: Graph Structure Learning for Tabular Data Prediction. CoRR (2023)
Cheng-Te Li, Lun-Wei Ku
SocialNLP'23: 11th International Workshop on Natural Language Processing for Social Media. WWW (Companion Volume) (2023)
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) (2023)
I-Chung Hsieh, Cheng-Te Li
Toward an Adaptive Skip-Gram Model for Network Representation Learning. IEEE Access 10 (2022)
Yen-Ting Lee, Cheng-Te Li, Shou-De Lin
Conditional Sentence Rephrasing without Parallel Training Corpus. ICME Workshops (2022)
Cheng-Te Li, Cheng Hsu, Yang Zhang
FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings. CoRR (2022)
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) (2022)
Hsin-Yu Chen, Cheng-Te Li
Predicting and Analyzing Privacy Settings and Categories for Posts on Social Media. Big Data (2022)
Zhiqiang Zhong, Cheng-Te Li, Jun Pang
Personalised meta-path generation for heterogeneous graph neural networks. Data Min. Knowl. Discov. 36 (6) (2022)
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)
I-Chung Hsieh, Cheng-Te Li
CoANE: Modeling Context Co-occurrence for Attributed Network Embedding. ICDE (2022)
Chih-Chun Yang, Cheng-Te Li, Shou-De Lin
SMITH: A Self-supervised Downstream-Aware Framework for Missing Testing Data Handling. PAKDD (2) (2022)
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)
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)
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) (2022)
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)
Cheng-Te Li, Wei-Chu Wang
Learning template-free network embeddings for heterogeneous link prediction. Soft Comput. 25 (21) (2021)
Chih-Yao Chen, Cheng-Te Li
ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning. CoRR (2021)
Cheng Hsu, Cheng-Te Li, Diego Sáez-Trumper, Yi-Zhan Hsu
WikiContradiction: Detecting Self-Contradiction Articles on Wikipedia. CoRR (2021)
Cheng Hsu, Cheng-Te Li, Diego Sáez-Trumper, Yi-Zhan Hsu
WikiContradiction: Detecting Self-Contradiction Articles on Wikipedia. IEEE BigData (2021)
I-Chung Hsieh, Cheng-Te Li
CoANE: Modeling Context Co-occurrence for Attributed Network Embedding. CoRR (2021)
Cheng Hsu, Cheng-Te Li
RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation. WWW (2021)
Yi-Ju Lu, Cheng-Te Li
AGSTN: Learning Attention-adjusted Graph Spatio-Temporal Networks for Short-term Urban Sensor Value Forecasting. CoRR (2021)
Yi-Ling Hsu, Yu-Che Tsai, Cheng-Te Li
FinGAT: Financial Graph Attention Networks for Recommending Top-K Profitable Stocks. CoRR (2021)
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) (2021)
Chih-Yao Chen, Cheng-Te Li
ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning. NAACL-HLT (2021)
Yu-Che Tsai, Cheng-Te Li
CARE: learning convolutional attentional recurrent embedding for sequential recommendation. ASONAM (2021)
Chih-Te Lai, Cheng-Te Li, Shou-De Lin
Deep Energy Factorization Model for Demographic Prediction. ACM Trans. Intell. Syst. Technol. 12 (1) (2021)
I-Chung Hsieh, Cheng-Te Li
NetFense: Adversarial Defenses against Privacy Attacks on Neural Networks for Graph Data. CoRR (2021)
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)
Yu-Tai Lo, Jay Chie-hen 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. (1) (2021)
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) (2021)
Cheng Hsu, Cheng-Te Li
RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation. CoRR (2021)
Cheng-Te Li
Explainable Detection of Fake News and Cyberbullying on Social Media. WWW (Companion Volume) (2020)
Hsin-Yu Chen, Cheng-Te Li
HENIN: Learning Heterogeneous Neural Interaction Networks for Explainable Cyberbullying Detection on Social Media. EMNLP (1) (2020)
Yi-Ju Lu, Cheng-Te Li
GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media. ACL (2020)
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)
Yizhan Xu, Sungwon Han, Sungwon Park, Meeyoung Cha, Cheng-Te Li
A Comprehensive and Adversarial Approach to Self-Supervised Representation Learning. IEEE BigData (2020)
Sungwon Han, Yizhan Xu, Sungwon Park, Meeyoung Cha, Cheng-Te Li
A Comprehensive Approach to Unsupervised Embedding Learning based on AND Algorithm. CoRR (2020)
Yi-Ju Lu, Cheng-Te Li
AGSTN: Learning Attention-adjusted Graph Spatio-Temporal Networks for Short-term Urban Sensor Value Forecasting. ICDM (2020)
Meeyoung Cha, Wei Gao, Cheng-Te Li
Detecting fake news in social media: an Asia-Pacific perspective. Commun. ACM 63 (4) (2020)
Zhiqiang Zhong, Cheng-Te Li, Jun Pang
Adaptive Multi-grained Graph Neural Networks. CoRR (2020)
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) (2020)
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)
Yi-Ju Lu, Cheng-Te Li
GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media. CoRR (2020)
Hsin-Yu Chen, Cheng-Te Li
HENIN: Learning Heterogeneous Neural Interaction Networks for Explainable Cyberbullying Detection on Social Media. CoRR (2020)
Zhiqiang Zhong, Cheng-Te Li, Jun Pang
Hierarchical Message-Passing Graph Neural Networks. CoRR (2020)
Zhiqiang Zhong, Cheng-Te Li, Jun Pang
Reinforcement Learning Enhanced Heterogeneous Graph Neural Network. CoRR (2020)
Chang-Ming Tsai, Cheng-Te Li
TideFC: Learning Temporal Interaction for Dynamic Embedding via Feature Crossing. ICS (2020)
Jyun-Yu Jiang, Cheng-Te Li
Who should I invite: predicting event participants for a host user. Knowl. Inf. Syst. 59 (3) (2019)
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)
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)
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)
Yi-Chun Chen, Yu-Che Tsai, Cheng-Te Li
Query Embedding Learning for Context-based Social Search. CIKM (2019)
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) (2019)
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) (2019)
Cheng-Te Li
Mentor-spotting: recommending expert mentors to mentees for live trouble-shooting in Codementor. Knowl. Inf. Syst. 61 (2) (2019)
Hsun-Ping Hsieh, Cheng-Te Li
Inferring Online Social Ties from Offline Geographical Activities. ACM Trans. Intell. Syst. Technol. 10 (2) (2019)
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) (2019)
Jia-Yun Jiang, Cheng-Te Li, Shou-De Lin
Towards a more reliable privacy-preserving recommender system. Inf. Sci. 482 (2019)
Sungkyu Park, Cheng-Te Li, Sungwon Han, Cheng Hsu, Sang Won Lee, Meeyoung Cha
Learning Sleep Quality from Daily Logs. KDD (2019)
Pei-Chi Wang, Cheng-Te Li
Spotting Terrorists by Learning Behavior-aware Heterogeneous Network Embedding. CIKM (2019)
Cheng-Te Li, Yu-Jen Lin, Mi-Yen Yeh
Forecasting participants of information diffusion on social networks with its applications. Inf. Sci. 422 (2018)
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) (2018)
Yang Zhang, Mathias Humbert, Tahleen A. Rahman, Cheng-Te Li, Jun Pang, Michael Backes
Tagvisor: A Privacy Advisor for Sharing Hashtags. CoRR (2018)
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) (2018)
Yang Zhang, Mathias Humbert, Tahleen A. Rahman, Cheng-Te Li, Jun Pang, Michael Backes
Tagvisor: A Privacy Advisor for Sharing Hashtags. WWW (2018)
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) (2018)
Jyun-Yu Jiang, Cheng-Te Li, Yian Chen, Wei Wang
Identifying Users behind Shared Accounts in Online Streaming Services. SIGIR (2018)
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) (2018)
Cheng-Te Li, Lun-Wei Ku
SocialNLP@WWW 2018 Chairs' Welcome & Organization. WWW (Companion Volume) (2018)
Cheng-Te Li, Yi-Chun Chen
Query Embedding Learning for Context-based Social Search. CIKM Workshops (2018)
Lo Pang-Yun Ting, Cheng-Te Li, Kun-Ta Chuang
Predictive Team Formation Analysis via Feature Representation Learning on Social Networks. PAKDD (3) (2018)
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)
Cheng-Te Li
Influence Maximization-Based Event Organization on Social Networks. PAP@PKDD/ECML (2017)
Hsin-Yu Chen, Cheng-Te Li
PSEISMIC: A personalized self-exciting point process model for predicting tweet popularity. IEEE BigData (2017)
Jia-Yun Jiang, Cheng-Te Li, Shou-De Lin
Towards a More Reliable Privacy-preserving Recommender System. CoRR (2017)
Kai-Hsiang Hsu, Cheng-Te Li, Chien-Lin Tseng
Who Will Respond to Your Requests for Instant Trouble-Shooting? ICWSM (2016)
Hsun-Ping Hsieh, Rui Yan, Cheng-Te Li
Will I Win Your Favor? Predicting the Success of Altruistic Requests. PAKDD (1) (2016)
Jyun-Yu Jiang, Cheng-Te Li
Forecasting Geo-sensor Data with Participatory Sensing Based on Dropout Neural Network. CIKM (2016)
Lu Zhou, Yang Zhang, Jun Pang, Cheng-Te Li
Modeling City Locations as Complex Networks: An initial study. COMPLEX NETWORKS (2016)

Cheng-Te Li.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Cheng-Te Li