Ting Guo

According to our database, Ting Guo authored at least 22 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Spatio-temporal Contrastive Learning-enhanced GNNs for Session-based Recommendation.

Zhongwei Wan, Xin Liu, Benyou Wang, Jiezhong Qiu, Boyu Li, Ting Guo, Guangyong Chen, Yang Wang

ACM Trans. Inf. Syst., March, 2024

2023

Self-Adaptive Predictive Passenger Flow Modeling for Large-Scale Railway Systems.

Boyu Li, Ting Guo, Ruimin Li, Yang Wang, Amir H. Gandomi, Fang Chen

IEEE Internet Things J., August, 2023

SGCCL: Siamese Graph Contrastive Consensus Learning for Personalized Recommendation.

Boyu Li, Ting Guo, Xingquan Zhu, Qian Li, Yang Wang, Fang Chen

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

ConGCN: Factorized Graph Convolutional Networks for Consensus Recommendation.

Boyu Li, Ting Guo, Xingquan Zhu, Yang Wang, Fang Chen

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

2022

A Two-Stage Self-adaptive Model for Passenger Flow Prediction on Schedule-Based Railway System.

Boyu Li, Ting Guo, Ruimin Li, Yang Wang, Amir H. Gandomi, Fang Chen

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

2021

Weak Supervision Network Embedding for Constrained Graph Learning.

Ting Guo, Xingquan Zhu, Yang Wang, Fang Chen

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Adaptive Graph Co-Attention Networks for Traffic Forecasting.

Boyu Li, Ting Guo, Yang Wang, Amir H. Gandomi, Fang Chen

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Graph Compression Networks.

Ting Guo, Xingquan Zhu, Yang Wang, Fang Chen

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Clustering social audiences in business information networks.

Yu Zheng, Ruiqi Hu, Sai-Fu Fung, Celina Ping Yu, Guodong Long, Ting Guo, Shirui Pan

Pattern Recognit., 2020

2019

CFOND: Consensus Factorization for Co-Clustering Networked Data.

Ting Guo, Shirui Pan, Xingquan Zhu, Chengqi Zhang

IEEE Trans. Knowl. Data Eng., 2019

Discriminative Sample Generation for Deep Imbalanced Learning.

Ting Guo, Xingquan Zhu, Yang Wang, Fang Chen

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Water Pipe Failure Prediction: A Machine Learning Approach Enhanced By Domain Knowledge.

Bang Zhang, Ting Guo, Lelin Zhang, Peng Lin, Yang Wang, Jianlong Zhou, Fang Chen

Proceedings of the Human and Machine Learning, 2018

Simultaneous Urban Region Function Discovery and Popularity Estimation via an Infinite Urbanization Process Model.

Bang Zhang, Lelin Zhang, Ting Guo, Yang Wang, Fang Chen

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

Combining Structured Node Content and Topology Information for Networked Graph Clustering.

Ting Guo, Jia Wu, Xingquan Zhu, Chengqi Zhang

ACM Trans. Knowl. Discov. Data, 2017

2016

Infinite Hidden Semi-Markov Modulated Interaction Point Process.

Peng Lin, Bang Zhang, Ting Guo, Yang Wang, Fang Chen

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Interaction Point Processes via Infinite Branching Model.

Peng Lin, Bang Zhang, Ting Guo, Yang Wang, Fang Chen

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Reverse twin plant for efficient diagnosability testing and optimizing.

Boyu Li, Ting Guo, Xingquan Zhu, Zhanshan Li

Eng. Appl. Artif. Intell., 2015

2014

Super-Graph Classification.

Ting Guo, Xingquan Zhu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

SNOC: Streaming Network Node Classification.

Ting Guo, Xingquan Zhu, Jian Pei, Chengqi Zhang

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013

Understanding the roles of sub-graph features for graph classification: an empirical study perspective.

Ting Guo, Xingquan Zhu

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Graph hashing and factorization for fast graph stream classification.

Ting Guo, Lianhua Chi, Xingquan Zhu

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2011

Large Scale Diagnosis Using Associations between System Outputs and Components.

Ting Guo, Zhanshan Li, Ruizhi Guo, Xingquan Zhu

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011