Ting Guo

24 papers A* 5A 3Journal 8Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Learning unified market interdependencies via networked attention for stock price forecasting.
Eng. Appl. Artif. Intell.
Kaveesha Hewage, Boyu Li, Ting Guo, Alexis Stenfors, Peter Mere, Fang Chen
2024 J jnl
Spatio-temporal Contrastive Learning-enhanced GNNs for Session-based Recommendation.
ACM Trans. Inf. Syst.
Zhongwei Wan, Xin Liu, Benyou Wang, Jiezhong Qiu, Boyu Li, Ting Guo, Guangyong Chen, Yang Wang
2023 — conf
ConGCN: Factorized Graph Convolutional Networks for Consensus Recommendation.
ECML/PKDD (4)
Boyu Li, Ting Guo, Xingquan Zhu, Yang Wang, Fang Chen
2023 A conf
SGCCL: Siamese Graph Contrastive Consensus Learning for Personalized Recommendation.
WSDM
Boyu Li, Ting Guo, Xingquan Zhu, Qian Li, Yang Wang, Fang Chen
2023 J jnl
Self-Adaptive Predictive Passenger Flow Modeling for Large-Scale Railway Systems.
IEEE Internet Things J.
Boyu Li, Ting Guo, Ruimin Li, Yang Wang, Amir H. Gandomi, Fang Chen
2022 — conf
A Two-Stage Self-adaptive Model for Passenger Flow Prediction on Schedule-Based Railway System.
PAKDD (3)
Boyu Li, Ting Guo, Ruimin Li, Yang Wang, Amir H. Gandomi, Fang Chen
2022 J jnl
Spatio-Temporal Contrastive Learning Enhanced GNNs for Session-based Recommendation.
CoRR
Zhongwei Wan, Benyou Wang, Xin Liu, Jiezhong Qiu, Boyu Li, Ting Guo, Guangyong Chen, Yang Wang
2021 — conf
Adaptive Graph Co-Attention Networks for Traffic Forecasting.
PAKDD (1)
Boyu Li, Ting Guo, Yang Wang, Amir H. Gandomi, Fang Chen
2021 — conf
Graph Compression Networks.
IEEE BigData
Ting Guo, Xingquan Zhu, Yang Wang, Fang Chen
2021 — conf
Weak Supervision Network Embedding for Constrained Graph Learning.
PAKDD (1)
Ting Guo, Xingquan Zhu, Yang Wang, Fang Chen
2020 J jnl
Clustering social audiences in business information networks.
Pattern Recognit.
Yu Zheng, Ruiqi Hu, Sai-Fu Fung, Celina Ping Yu, Guodong Long, Ting Guo, Shirui Pan
2019 J jnl
CFOND: Consensus Factorization for Co-Clustering Networked Data.
IEEE Trans. Knowl. Data Eng.
Ting Guo, Shirui Pan, Xingquan Zhu, Chengqi Zhang
2019 A* conf
Discriminative Sample Generation for Deep Imbalanced Learning.
IJCAI
Ting Guo, Xingquan Zhu, Yang Wang, Fang Chen
2018 A* conf
Simultaneous Urban Region Function Discovery and Popularity Estimation via an Infinite Urbanization Process Model.
KDD
Bang Zhang, Lelin Zhang, Ting Guo, Yang Wang, Fang Chen
2018 — ch.
Water Pipe Failure Prediction: A Machine Learning Approach Enhanced By Domain Knowledge.
Human and Machine Learning
Bang Zhang, Ting Guo, Lelin Zhang, Peng Lin, Yang Wang, Jianlong Zhou, Fang Chen
2017 J jnl
Combining Structured Node Content and Topology Information for Networked Graph Clustering.
ACM Trans. Knowl. Discov. Data
Ting Guo, Jia Wu, Xingquan Zhu, Chengqi Zhang
2016 — conf
Infinite Hidden Semi-Markov Modulated Interaction Point Process.
NIPS
Peng Lin, Bang Zhang, Ting Guo, Yang Wang, Fang Chen
2016 A* conf
Interaction Point Processes via Infinite Branching Model.
AAAI
Peng Lin, Bang Zhang, Ting Guo, Yang Wang, Fang Chen
2015 J jnl
Reverse twin plant for efficient diagnosability testing and optimizing.
Eng. Appl. Artif. Intell.
Boyu Li, Ting Guo, Xingquan Zhu, Zhanshan Li
2014 A* conf
SNOC: Streaming Network Node Classification.
ICDM
Ting Guo, Xingquan Zhu, Jian Pei, Chengqi Zhang
2014 — conf
Super-Graph Classification.
PAKDD (1)
Ting Guo, Xingquan Zhu
2013 A conf
Graph hashing and factorization for fast graph stream classification.
CIKM
Ting Guo, Lianhua Chi, Xingquan Zhu
2013 A conf
Understanding the roles of sub-graph features for graph classification: an empirical study perspective.
CIKM
Ting Guo, Xingquan Zhu
2011 A* conf
Large Scale Diagnosis Using Associations between System Outputs and Components.
AAAI
Ting Guo, Zhanshan Li, Ruizhi Guo, Xingquan Zhu