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Ting Zhong
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Meta-gnn: On few-shot node classification in graph meta-learning
F Zhou, C Cao, K Zhang, G Trajcevski, T Zhong, J Geng
Proceedings of the 28th ACM International Conference on Information and …, 2019
2512019
Deeplink: A deep learning approach for user identity linkage
F Zhou, L Liu, K Zhang, G Trajcevski, J Wu, T Zhong
IEEE INFOCOM 2018-IEEE Conference on computer communications, 1313-1321, 2018
2112018
Information diffusion prediction via recurrent cascades convolution
X Chen, F Zhou, K Zhang, G Trajcevski, T Zhong, F Zhang
2019 IEEE 35th international conference on data engineering (ICDE), 770-781, 2019
1792019
Variational graph neural networks for road traffic prediction in intelligent transportation systems
F Zhou, Q Yang, T Zhong, D Chen, N Zhang
IEEE Transactions on Industrial Informatics 17 (4), 2802-2812, 2020
1482020
Adversarial point-of-interest recommendation
F Zhou, R Yin, K Zhang, G Trajcevski, T Zhong, J Wu
The world wide web conference, 3462-34618, 2019
1292019
Predicting human mobility via variational attention
Q Gao, F Zhou, G Trajcevski, K Zhang, T Zhong, F Zhang
The world wide web conference, 2750-2756, 2019
1272019
Trajectory-User Linking via Variational AutoEncoder.
F Zhou, Q Gao, G Trajcevski, K Zhang, T Zhong, F Zhang
IJCAI, 3212-3218, 2018
1172018
Reinforced spatiotemporal attentive graph neural networks for traffic forecasting
F Zhou, Q Yang, K Zhang, G Trajcevski, T Zhong, A Khokhar
IEEE Internet of Things Journal 7 (7), 6414-6428, 2020
812020
Learning latent seasonal-trend representations for time series forecasting
Z Wang, X Xu, W Zhang, G Trajcevski, T Zhong, F Zhou
Advances in Neural Information Processing Systems 35, 38775-38787, 2022
732022
Hybrid graph convolutional networks with multi-head attention for location recommendation
T Zhong, S Zhang, F Zhou, K Zhang, G Trajcevski, J Wu
World Wide Web 23, 3125-3151, 2020
702020
Mining spatio-temporal relations via self-paced graph contrastive learning
R Li, T Zhong, X Jiang, G Trajcevski, J Wu, F Zhou
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
522022
Information cascades modeling via deep multi-task learning
X Chen, K Zhang, F Zhou, G Trajcevski, T Zhong, F Zhang
Proceedings of the 42nd international ACM SIGIR conference on research and …, 2019
512019
Self-supervised human mobility learning for next location prediction and trajectory classification
F Zhou, Y Dai, Q Gao, P Wang, T Zhong
Knowledge-Based Systems 228, 107214, 2021
482021
Variational information diffusion for probabilistic cascades prediction
F Zhou, X Xu, K Zhang, G Trajcevski, T Zhong
IEEE INFOCOM 2020-IEEE conference on computer communications, 1618-1627, 2020
482020
Context-aware variational trajectory encoding and human mobility inference
F Zhou, X Yue, G Trajcevski, T Zhong, K Zhang
The world wide web conference, 3469-3475, 2019
442019
Trajectory-based social circle inference
Q Gao, G Trajcevski, F Zhou, K Zhang, T Zhong, F Zhang
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances …, 2018
402018
Recommendation via collaborative diffusion generative model
J Walker, T Zhong, F Zhang, Q Gao, F Zhou
International Conference on Knowledge Science, Engineering and Management …, 2022
392022
Causal-debias: Unifying debiasing in pretrained language models and fine-tuning via causal invariant learning
F Zhou, Y Mao, L Yu, Y Yang, T Zhong
Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023
352023
Vec2link: Unifying heterogeneous data for social link prediction
F Zhou, B Wu, Y Yang, G Trajcevski, K Zhang, T Zhong
Proceedings of the 27th ACM International Conference on Information and …, 2018
352018
Fast network alignment via graph meta-learning
F Zhou, C Cao, G Trajcevski, K Zhang, T Zhong, J Geng
IEEE INFOCOM 2020-IEEE Conference on Computer Communications, 686-695, 2020
342020
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