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2020 – today
- 2023
[j29]Zhonghai He, Bei Hui
, Shengming Zhang, Chunjing Xiao, Ting Zhong, Fan Zhou:
Exploring indirect entity relations for knowledge graph enhanced recommender system. Expert Syst. Appl. 213(Part): 118984 (2023)- [j28]Zhidong Shen, Ting Zhong, Hui Sun, Baiwen Qi:
RRN: A differential private approach to preserve privacy in image classification. IET Image Process. 17(7): 2192-2203 (2023) - [j27]Xovee Xu, Zhiyuan Wang, Fan Zhou, Ying Huang, Ting Zhong, Goce Trajcevski:
Dynamic transformer ODEs for large-scale reservoir inflow forecasting. Knowl. Based Syst. 276: 110737 (2023) - [j26]Fan Zhou, Guanyu Wang, Kunpeng Zhang, Siyuan Liu, Ting Zhong:
Semi-Supervised Anomaly Detection Via Neural Process. IEEE Trans. Knowl. Data Eng. 35(10): 10423-10435 (2023) - [c50]Haoyang Yu, Xovee Xu, Ting Zhong, Fan Zhou:
Overcoming Forgetting in Fine-Grained Urban Flow Inference via Adaptive Knowledge Replay. AAAI 2023: 5393-5401 - [c49]Wenxin Tai, Fan Zhou, Goce Trajcevski, Ting Zhong:
Revisiting Denoising Diffusion Probabilistic Models for Speech Enhancement: Condition Collapse, Efficiency and Refinement. AAAI 2023: 13627-13635 - [c48]Zhangtao Cheng, Xovee Xu, Ting Zhong, Fan Zhou, Goce Trajcevski:
CasODE: Modeling Irregular Information Cascade via Neural Ordinary Differential Equations (Student Abstract). AAAI 2023: 16192-16193 - [c47]Yanlong Huang, Wenxin Tai, Ting Zhong, Kunpeng Zhang:
Less Is More: Volatility Forecasting with Contrastive Representation Learning (Student Abstract). AAAI 2023: 16234-16235 - [c46]Yuzhou Mao, Liu Yu, Yi Yang, Fan Zhou, Ting Zhong:
Debiasing Intrinsic Bias and Application Bias Jointly via Invariant Risk Minimization (Student Abstract). AAAI 2023: 16280-16281 - [c45]Tangjiang Qian, Xovee Xu, Zhe Xiao, Ting Zhong, Fan Zhou:
A Probabilistic Graph Diffusion Model for Source Localization (Student Abstract). AAAI 2023: 16306-16307 - [c44]Zhiyuan Wang, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, Ting Zhong:
Learning Dynamic Temporal Relations with Continuous Graph for Multivariate Time Series Forecasting (Student Abstract). AAAI 2023: 16358-16359 - [c43]Weifeng Zhang, Zhiyuan Wang, Kunpeng Zhang, Ting Zhong, Fan Zhou:
DyCVAE: Learning Dynamic Causal Factors for Non-stationary Series Domain Generalization (Student Abstract). AAAI 2023: 16382-16383 - [c42]Fan Zhou, Yuzhou Mao, Liu Yu, Yi Yang, Ting Zhong:
Causal-Debias: Unifying Debiasing in Pretrained Language Models and Fine-tuning via Causal Invariant Learning. ACL (1) 2023: 4227-4241 - [c41]Wenxin Tai, Bin Chen, Fan Zhou, Ting Zhong, Goce Trajcevski, Yong Wang, Kai Chen:
TrustGeo: Uncertainty-Aware Dynamic Graph Learning for Trustworthy IP Geolocation. KDD 2023: 4862-4871 - [c40]Wenxin Tai, Bin Chen, Ting Zhong, Yong Wang, Kai Chen, Fan Zhou:
RIPGeo: Robust Street-Level IP Geolocation. MDM 2023: 138-147 - 2022
- [j25]Joojo Walker, Fengli Zhang, Fan Zhou, Ting Zhong:
Social-trust-aware variational recommendation. Int. J. Intell. Syst. 37(4): 2774-2802 (2022) - [j24]Fan Zhou, Zhiyuan Wang, Ting Zhong, Goce Trajcevski, Ashfaq A. Khokhar:
HydroFlow: Towards probabilistic electricity demand prediction using variational autoregressive models and normalizing flows. Int. J. Intell. Syst. 37(10): 6833-6856 (2022) - [j23]Fan Zhou, Tianliang Wang, Ting Zhong, Goce Trajcevski:
Identifying user geolocation with Hierarchical Graph Neural Networks and explainable fusion. Inf. Fusion 81: 1-13 (2022) - [j22]Joojo Walker, Fengli Zhang, Ting Zhong, Fan Zhou, Edward Yellakuor Baagyere:
Variational cold-start resistant recommendation. Inf. Sci. 605: 267-285 (2022) - [j21]Qiang Gao, Fan Zhou, Ting Zhong, Goce Trajcevski, Xin Yang, Tianrui Li:
Contextual spatio-temporal graph representation learning for reinforced human mobility mining. Inf. Sci. 606: 230-249 (2022) - [j20]Xovee Xu, Ting Zhong, Ce Li, Goce Trajcevski, Fan Zhou:
Heterogeneous dynamical academic network for learning scientific impact propagation. Knowl. Based Syst. 238: 107839 (2022) - [j19]Fan Zhou, Weifeng Zhang, Yong Wang, Ting Zhong, Goce Trajcevski, Ashfaq A. Khokhar:
Identifying IP Usage Scenarios: Problems, Data, and Benchmarks. IEEE Netw. 36(3): 152-158 (2022) - [j18]Wenxin Tai, Ting Zhong, Yuhua Mo, Fan Zhou:
Learning Sentimental and Financial Signals With Normalizing Flows for Stock Movement Prediction. IEEE Signal Process. Lett. 29: 414-418 (2022) - [j17]Fan Zhou, Xin Liu, Ting Zhong, Goce Trajcevski:
MetaMove: On Improving Human Mobility Classification and Prediction via Metalearning. IEEE Trans. Cybern. 52(8): 8128-8141 (2022) - [c39]Fan Zhou, Rongfan Li, Qiang Gao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong:
Dynamic Manifold Learning for Land Deformation Forecasting. AAAI 2022: 4725-4733 - [c38]Zhiyuan Wang, Xovee Xu, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Fan Zhou:
PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model. AAAI 2022: 12200-12207 - [c37]Zhangtao Cheng, Ting Zhong, Kunpeng Zhang, Joojo Walker, Fan Zhou:
Learning Contrastive Multi-View Graphs for Recommendation (Student Abstract). AAAI 2022: 12927-12928 - [c36]Rongfan Li, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, Ting Zhong:
A Probabilistic Framework for Land Deformation Prediction (Student Abstract). AAAI 2022: 13001-13002 - [c35]Guanyu Wang, Xovee Xu, Ting Zhong, Fan Zhou:
Conditional Collaborative Filtering Process for Top-K Recommender System (Student Abstract). AAAI 2022: 13073-13074 - [c34]Haoyang Yu, Xovee Xu, Ting Zhong, Fan Zhou:
Fine-Grained Urban Flow Inference via Normalizing Flow (Student Abstract). AAAI 2022: 13101-13102 - [c33]Liu Yu, Xovee Xu, Ting Zhong, Goce Trajcevski, Fan Zhou:
Linking Transformer to Hawkes Process for Information Cascade Prediction (Student Abstract). AAAI 2022: 13103-13104 - [c32]Ting Zhong, Haoyang Yu, Rongfan Li, Xovee Xu, Xucheng Luo, Fan Zhou:
Probabilistic Fine-Grained Urban Flow Inference with Normalizing Flows. ICASSP 2022: 3663-3667 - [c31]Zhangtao Cheng, Joojo Walker, Ting Zhong, Fan Zhou:
Modeling Multi-View Interactions with Contrastive Graph Learning for Collaborative Filtering. IJCNN 2022: 1-8 - [c30]Weifeng Zhang, Ting Zhong, Ce Li, Kunpeng Zhang, Fan Zhou:
CausalRD: A Causal View of Rumor Detection via Eliminating Popularity and Conformity Biases. INFOCOM 2022: 1369-1378 - [c29]Rongfan Li, Ting Zhong, Xinke Jiang, Goce Trajcevski, Jin Wu, Fan Zhou:
Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning. KDD 2022: 936-944 - [c28]Joojo Walker, Ting Zhong, Fengli Zhang, Qiang Gao, Fan Zhou:
Recommendation via Collaborative Diffusion Generative Model. KSEM (3) 2022: 593-605 - [c27]Zhiyuan Wang, Xovee Xu, Weifeng Zhang, Goce Trajcevski, Ting Zhong, Fan Zhou:
Learning Latent Seasonal-Trend Representations for Time Series Forecasting. NeurIPS 2022 - 2021
- [j16]Zhidong Shen, Ting Zhong:
Analysis of Application Examples of Differential Privacy in Deep Learning. Comput. Intell. Neurosci. 2021: 4244040:1-4244040:15 (2021) - [j15]Fan Zhou, Chengtai Cao, Ting Zhong, Ji Geng:
Learning meta-knowledge for few-shot image emotion recognition. Expert Syst. Appl. 168: 114274 (2021) - [j14]Fan Zhou, Ce Li, Zijing Wen, Ting Zhong, Goce Trajcevski, Ashfaq A. Khokhar:
Uncertainty-aware network alignment. Int. J. Intell. Syst. 36(12): 7895-7924 (2021) - [j13]Ting Zhong, Jianfeng Qu, Xiaoyu Fang, Hao Li, Zeping Wang:
The intermittent fault diagnosis of analog circuits based on EEMD-DBN. Neurocomputing 436: 74-91 (2021) - [j12]Fan Zhou, Yurou Dai, Qiang Gao, Pengyu Wang, Ting Zhong:
Self-supervised human mobility learning for next location prediction and trajectory classification. Knowl. Based Syst. 228: 107214 (2021) - [j11]Fan Zhou, Qing Yang, Ting Zhong, Dajiang Chen, Ning Zhang:
Variational Graph Neural Networks for Road Traffic Prediction in Intelligent Transportation Systems. IEEE Trans. Ind. Informatics 17(4): 2802-2812 (2021) - [c26]Guanyu Wang, Ting Zhong, Xovee Xu, Kunpeng Zhang, Fan Zhou, Yong Wang:
Vector-Quantized Autoencoder With Copula for Collaborative Filtering. CIKM 2021: 3458-3462 - [c25]Ting Zhong, Zheyang Xu, Fan Zhou:
Probabilistic Graph Neural Networks for Traffic Signal Control. ICASSP 2021: 4085-4089 - [c24]Qing Yang, Ting Zhong, Fan Zhou:
Traffic Speed Forecasting Via Spatio-Temporal Attentive Graph Isomorphism Network. ICASSP 2021: 7943-7947 - [c23]Fan Zhou, Xin Jing, Liang Li, Ting Zhong:
Inferring High-Resolutional Urban Flow With Internet Of Mobile Things. ICASSP 2021: 7948-7952 - [i4]Jun Li, Shimei Chen, Shangyuan Wang, Miao Lei, Xiaofang Dai, Chuangxue Liang, Kunyuan Xu, Shuxin Lin, Yuhui Li, Yuer Fan, Ting Zhong:
An optical biomimetic eyes with interested object imaging. CoRR abs/2108.04236 (2021) - 2020
- [j10]Ting Zhong, Tianliang Wang, Jiahao Wang, Jin Wu, Fan Zhou:
Multiple-Aspect Attentional Graph Neural Networks for Online Social Network User Localization. IEEE Access 8: 95223-95234 (2020) - [j9]Ting Zhong, Zijing Wen, Fan Zhou, Goce Trajcevski, Kunpeng Zhang:
Session-based recommendation via flow-based deep generative networks and Bayesian inference. Neurocomputing 391: 129-141 (2020) - [j8]Zeping Wang, Jianfeng Qu, Xiaoyu Fang, Hao Li, Ting Zhong, Hao Ren:
Prediction of early stabilization time of electrolytic capacitor based on ARIMA-Bi_LSTM hybrid model. Neurocomputing 403: 63-79 (2020) - [j7]Fan Zhou, Qing Yang, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, Ashfaq A. Khokhar:
Reinforced Spatiotemporal Attentive Graph Neural Networks for Traffic Forecasting. IEEE Internet Things J. 7(7): 6414-6428 (2020) - [j6]Zhidong Shen, Siyuan Lu, Huijuan Huang, Meng Yuan, Guoming Tang, Weiying Chen, Taige Zhang, Ting Zhong:
An Approach Based on Customized Robust Cloaked Region for Geographic Location Information Privacy Protection. Mob. Inf. Syst. 2020: 3903681:1-3903681:12 (2020) - [j5]Fan Zhou, Yuhua Mo, Goce Trajcevski, Kunpeng Zhang, Jin Wu, Ting Zhong:
Recommendation via Collaborative Autoregressive Flows. Neural Networks 126: 52-64 (2020) - [j4]Ting Zhong, Shengming Zhang, Fan Zhou, Kunpeng Zhang, Goce Trajcevski, Jin Wu:
Hybrid graph convolutional networks with multi-head attention for location recommendation. World Wide Web 23(6): 3125-3151 (2020) - [c22]Ting Zhong, Tianliang Wang, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, Yi Yang:
Interpreting Twitter User Geolocation. ACL 2020: 853-859 - [c21]Fan Zhou, Xin Jing, Xovee Xu, Ting Zhong, Goce Trajcevski, Jin Wu:
Continual Information Cascade Learning. GLOBECOM 2020: 1-6 - [c20]Fan Zhou, Xiuxiu Qi, Xovee Xu, Jiahao Wang, Ting Zhong, Goce Trajcevski:
Meta-Learned User Preference for Topic Participation Prediction. GLOBECOM 2020: 1-6 - [c19]Fan Zhou, Zijing Wen, Ting Zhong, Goce Trajcevski, Xovee Xu, Leyuan Liu:
Unsupervised User Identity Linkage via Graph Neural Networks. GLOBECOM 2020: 1-6 - [c18]Fan Zhou, Liang Li, Ting Zhong, Goce Trajcevski, Kunpeng Zhang, Jiahao Wang:
Enhancing Urban Flow Maps via Neural ODEs. IJCAI 2020: 1295-1302 - [c17]Fan Zhou, Chengtai Cao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Ji Geng:
Fast Network Alignment via Graph Meta-Learning. INFOCOM 2020: 686-695 - [c16]Fan Zhou, Xovee Xu, Kunpeng Zhang, Goce Trajcevski, Ting Zhong:
Variational Information Diffusion for Probabilistic Cascades Prediction. INFOCOM 2020: 1618-1627 - [c15]Fan Zhou, Liang Li, Kunpeng Zhang, Goce Trajcevski, Fuming Yao, Ying Huang, Ting Zhong, Jiahao Wang, Qiao Liu:
Forecasting the Evolution of Hydropower Generation. KDD 2020: 2861-2870 - [i3]Fan Zhou, Chengtai Cao, Ting Zhong, Kunpeng Zhang, Goce Trajcevski, Ji Geng:
Continual Graph Learning. CoRR abs/2003.09908 (2020) - [i2]Fan Zhou, Xovee Xu, Ce Li, Goce Trajcevski, Ting Zhong, Kunpeng Zhang:
A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify Scientific Impact. CoRR abs/2003.12042 (2020)
2010 – 2019
- 2019
- [j3]Ting Zhong, Fang Liu, Fan Zhou, Goce Trajcevski, Kunpeng Zhang:
Motion Based Inference of Social Circles via Self-Attention and Contextualized Embedding. IEEE Access 7: 61934-61948 (2019) - [j2]Xucheng Luo, Minrui Xie, Kunpeng Zhang, Fan Zhou, Ting Zhong:
DeepAttr: Inferring Demographic Attributes via Social Network Embedding. IEEE Access 7: 130270-130282 (2019) - [c14]Fan Zhou, Chengtai Cao, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, Ji Geng:
Meta-GNN: On Few-shot Node Classification in Graph Meta-learning. CIKM 2019: 2357-2360 - [c13]Qiang Gao, Goce Trajcevski, Fan Zhou, Kunpeng Zhang, Ting Zhong, Fengli Zhang:
DeepTrip: Adversarially Understanding Human Mobility for Trip Recommendation. SIGSPATIAL/GIS 2019: 444-447 - [c12]Xueqin Chen, Fan Zhou, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, Fengli Zhang:
Information Diffusion Prediction via Recurrent Cascades Convolution. ICDE 2019: 770-781 - [c11]Fan Zhou, Zijing Wen, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Fang Liu:
Disentangled Network Alignment with Matching Explainability. INFOCOM 2019: 1360-1368 - [c10]Xueqin Chen, Kunpeng Zhang, Fan Zhou, Goce Trajcevski, Ting Zhong, Fengli Zhang:
Information Cascades Modeling via Deep Multi-Task Learning. SIGIR 2019: 885-888 - [c9]Qiang Gao, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Fengli Zhang:
Predicting Human Mobility via Variational Attention. WWW 2019: 2750-2756 - [c8]Fan Zhou, Ruiyang Yin, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, Jin Wu:
Adversarial Point-of-Interest Recommendation. WWW 2019: 3462-34618 - [c7]Fan Zhou, Xiaoli Yue, Goce Trajcevski, Ting Zhong, Kunpeng Zhang:
Context-aware Variational Trajectory Encoding and Human Mobility Inference. WWW 2019: 3469-3475 - [c6]Fan Zhou, Zijing Wen, Kunpeng Zhang, Goce Trajcevski, Ting Zhong:
Variational Session-based Recommendation Using Normalizing Flows. WWW 2019: 3476-3475 - [i1]Fan Zhou, Chengtai Cao, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, Ji Geng:
Meta-GNN: On Few-shot Node Classification in Graph Meta-learning. CoRR abs/1905.09718 (2019) - 2018
- [c5]Fan Zhou, Bangying Wu, Yi Yang, Goce Trajcevski, Kunpeng Zhang, Ting Zhong:
vec2Link: Unifying Heterogeneous Data for Social Link Prediction. CIKM 2018: 1843-1846 - [c4]Qiang Gao, Goce Trajcevski, Fan Zhou, Kunpeng Zhang, Ting Zhong, Fengli Zhang:
Trajectory-based social circle inference. SIGSPATIAL/GIS 2018: 369-378 - [c3]Fan Zhou, Qiang Gao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Fengli Zhang:
Trajectory-User Linking via Variational AutoEncoder. IJCAI 2018: 3212-3218 - [c2]Fan Zhou, Lei Liu, Kunpeng Zhang, Goce Trajcevski, Jin Wu, Ting Zhong:
DeepLink: A Deep Learning Approach for User Identity Linkage. INFOCOM 2018: 1313-1321 - 2014
- [c1]Mohamed Ali, Hamza Ali, Ting Zhong, Fagen Li, Zhiguan Qin, Ahmed Abdelrahaman A. A.:
Broadcast Searchable Keyword Encryption. CSE 2014: 1010-1016 - 2011
- [j1]Ting Zhong, Jing-Jing Zhang, Liang Tang:
A class of Cantor sets associated with the regular continued fractions. Comput. Math. Appl. 61(8): 2251-2255 (2011)
Coauthor Index
[j29] [j27] [j26] [c50] [c49] [c48] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [j25] [j24] [j23] [j22] [j21] [j20] [j19] [j18] [j17] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [j15] [j14] [j12] [j11] [c26] [c25] [c24] [c23] [j10] [j9] [j7] [j5] [j4] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [i3] [i2] [j3] [j2] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [i1] [c5] [c4] [c3] [c2]
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last updated on 2023-10-01 22:31 CEST by the dblp team
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