Ting Zhong

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 100

Top Venues

Publications

Ting Zhong, Jian Lang, Yifan Zhang, Zhangtao Cheng, Kunpeng Zhang, Fan Zhou
Predicting Micro-video Popularity via Multi-modal Retrieval Augmentation. SIGIR (2024)
Yutao Wei, Wenzheng Shu, Zhangtao Cheng, Wenxin Tai, Chunjing Xiao, Ting Zhong
Counterfactual Graph Learning for Anomaly Detection with Feature Disentanglement and Generation (Student Abstract). AAAI (2024)
Jienan Zhang, Jie Liu, Zhangtao Cheng, Xovee Xu, Fang Liu, Ting Zhong, Kunpeng Zhang
THGFormer: Time-Aware Hypergraph Learning for Multimodal Social Media Popularity Prediction (Student Abstract). AAAI (2024)
Yue Lei, Bin Chen, Wenxin Tai, Ting Zhong, Fan Zhou
Shallow Diffusion for Fast Speech Enhancement (Student Abstract). AAAI (2024)
Wenxue Ye, Shichong Li, Zhangtao Cheng, Xovee Xu, Ting Zhong, Bei Hui, Fan Zhou
Decoupling User Relationships Guides Information Diffusion Prediction (Student Abstract). AAAI (2024)
Ting Zhong, Jienan Zhang, Zhangtao Cheng, Fan Zhou, Xueqin Chen
Information Diffusion Prediction via Cascade-Retrieved In-context Learning. SIGIR (2024)
Bin Chen, Kai Yang, Wenxin Tai, Zhangtao Cheng, Leyuan Liu, Ting Zhong, Fan Zhou
Interpreting Temporal Knowledge Graph Reasoning (Student Abstract). AAAI (2024)
Yanlong Huang, Yue Lei, Wenxin Tai, Zhangtao Cheng, Ting Zhong, Kunpeng Zhang
Explainable Earnings Call Representation Learning (Student Abstract). AAAI (2024)
Zhangtao Cheng, Jienan Zhang, Xovee Xu, Goce Trajcevski, Ting Zhong, Fan Zhou
Retrieval-Augmented Hypergraph for Multimodal Social Media Popularity Prediction. KDD (2024)
Xovee Xu, Ting Zhong, Fan Zhou, Rongfan Li, Goce Trajcevski, Qinggang Meng
Learning Spatiotemporal Manifold Representation for Probabilistic Land Deformation Prediction. IEEE Trans. Cybern. 54 (1) (2024)
Yixuan Jin, Yutao Wei, Zhangtao Cheng, Wenxin Tai, Chunjing Xiao, Ting Zhong
Multi-Scale Dynamic Graph Learning for Time Series Anomaly Detection (Student Abstract). AAAI (2024)
Kai Yang, Wenxin Tai, Zhenhui Li, Ting Zhong, Guangqiang Yin, Yong Wang, Fan Zhou
Exploring Self-Explainable Street-Level IP Geolocation with Graph Information Bottleneck. ICASSP (2024)
Kai Yang, Jiayang Li, Wenxin Tai, Zhenhui Li, Ting Zhong, Guangqiang Yin, Yong Wang
Improving IP Geolocation With Target-Centric IP Graph (Student Abstract). AAAI (2024)
Kai Yang, Yi Yang, Qiang Gao, Ting Zhong, Yong Wang, Fan Zhou
Self-Explainable Next POI Recommendation. SIGIR (2024)
Wenzheng Shu, Kangqi Xu, Wenxin Tai, Ting Zhong, Yong Wang, Fan Zhou
Analyzing and Mitigating Repetitions in Trip Recommendation. SIGIR (2024)
Fan Zhou, Xiuxiu Qi, Kunpeng Zhang, Goce Trajcevski, Ting Zhong
MetaGeo: A General Framework for Social User Geolocation Identification With Few-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Wenxin Tai, Bin Chen, Ting Zhong, Yong Wang, Kai Chen, Fan Zhou
RIPGeo: Robust Street-Level IP Geolocation. MDM (2023)
Zhangtao Cheng, Xovee Xu, Ting Zhong, Fan Zhou, Goce Trajcevski
CasODE: Modeling Irregular Information Cascade via Neural Ordinary Differential Equations (Student Abstract). AAAI (2023)
Wenxin Tai, Yue Lei, Fan Zhou, Goce Trajcevski, Ting Zhong
DOSE: Diffusion Dropout with Adaptive Prior for Speech Enhancement. NeurIPS (2023)
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)
Wenxin Tai, Fan Zhou, Goce Trajcevski, Ting Zhong
Revisiting Denoising Diffusion Probabilistic Models for Speech Enhancement: Condition Collapse, Efficiency and Refinement. AAAI (2023)
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)
Haoyang Yu, Xovee Xu, Ting Zhong, Fan Zhou
Overcoming Forgetting in Fine-Grained Urban Flow Inference via Adaptive Knowledge Replay. AAAI (2023)
Yanlong Huang, Wenxin Tai, Ting Zhong, Kunpeng Zhang
Less Is More: Volatility Forecasting with Contrastive Representation Learning (Student Abstract). AAAI (2023)
Abdisalam Badel, Ting Zhong, Wenxin Tai, Fan Zhou
Somali Information Retrieval Corpus: Bridging the Gap between Query Translation and Dedicated Language Resources. EMNLP (2023)
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)
Xovee Xu, Zhiyuan Wang, Qiang Gao, Ting Zhong, Bei Hui, Fan Zhou, Goce Trajcevski
Spatial-Temporal Contrasting for Fine-Grained Urban Flow Inference. IEEE Trans. Big Data 9 (6) (2023)
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 (2023)
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)
Zhidong Shen, Ting Zhong, Hui Sun, Baiwen Qi
RRN: A differential private approach to preserve privacy in image classification. IET Image Process. 17 (7) (2023)
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) (2023)
Fan Zhou, Guanyu Wang, Kunpeng Zhang, Siyuan Liu, Ting Zhong
Semi-Supervised Anomaly Detection Via Neural Process. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
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)
Tangjiang Qian, Xovee Xu, Zhe Xiao, Ting Zhong, Fan Zhou
A Probabilistic Graph Diffusion Model for Source Localization (Student Abstract). AAAI (2023)
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 (2022)
Zhiyuan Wang, Xovee Xu, Weifeng Zhang, Goce Trajcevski, Ting Zhong, Fan Zhou
Learning Latent Seasonal-Trend Representations for Time Series Forecasting. NeurIPS (2022)
Zhiyuan Wang, Xovee Xu, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Fan Zhou
PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model. AAAI (2022)
Haoyang Yu, Xovee Xu, Ting Zhong, Fan Zhou
Fine-Grained Urban Flow Inference via Normalizing Flow (Student Abstract). AAAI (2022)
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)
Joojo Walker, Ting Zhong, Fengli Zhang, Qiang Gao, Fan Zhou
Recommendation via Collaborative Diffusion Generative Model. KSEM (3) (2022)
Ting Zhong, Haoyang Yu, Rongfan Li, Xovee Xu, Xucheng Luo, Fan Zhou
Probabilistic Fine-Grained Urban Flow Inference with Normalizing Flows. ICASSP (2022)
Liu Yu, Xovee Xu, Ting Zhong, Goce Trajcevski, Fan Zhou
Linking Transformer to Hawkes Process for Information Cascade Prediction (Student Abstract). AAAI (2022)
Zhangtao Cheng, Joojo Walker, Ting Zhong, Fan Zhou
Modeling Multi-View Interactions with Contrastive Graph Learning for Collaborative Filtering. IJCNN (2022)
Joojo Walker, Fengli Zhang, Fan Zhou, Ting Zhong
Social-trust-aware variational recommendation. Int. J. Intell. Syst. 37 (4) (2022)
Zhangtao Cheng, Ting Zhong, Kunpeng Zhang, Joojo Walker, Fan Zhou
Learning Contrastive Multi-View Graphs for Recommendation (Student Abstract). AAAI (2022)
Rongfan Li, Ting Zhong, Xinke Jiang, Goce Trajcevski, Jin Wu, Fan Zhou
Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning. KDD (2022)
Fan Zhou, Rongfan Li, Qiang Gao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong
Dynamic Manifold Learning for Land Deformation Forecasting. AAAI (2022)
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) (2022)
Joojo Walker, Fengli Zhang, Ting Zhong, Fan Zhou, Edward Yellakuor Baagyere
Variational cold-start resistant recommendation. Inf. Sci. 605 (2022)
Xovee Xu, Ting Zhong, Ce Li, Goce Trajcevski, Fan Zhou
Heterogeneous dynamical academic network for learning scientific impact propagation. Knowl. Based Syst. 238 (2022)
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) (2022)
Fan Zhou, Tianliang Wang, Ting Zhong, Goce Trajcevski
Identifying user geolocation with Hierarchical Graph Neural Networks and explainable fusion. Inf. Fusion 81 (2022)
Fan Zhou, Xin Liu, Ting Zhong, Goce Trajcevski
MetaMove: On Improving Human Mobility Classification and Prediction via Metalearning. IEEE Trans. Cybern. 52 (8) (2022)
Guanyu Wang, Xovee Xu, Ting Zhong, Fan Zhou
Conditional Collaborative Filtering Process for Top-K Recommender System (Student Abstract). AAAI (2022)
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 (2022)
Rongfan Li, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, Ting Zhong
A Probabilistic Framework for Land Deformation Prediction (Student Abstract). AAAI (2022)
Ting Zhong, Jianfeng Qu, Xiaoyu Fang, Hao Li, Zeping Wang
The intermittent fault diagnosis of analog circuits based on EEMD-DBN. Neurocomputing 436 (2021)
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 (2021)
Qing Yang, Ting Zhong, Fan Zhou
Traffic Speed Forecasting Via Spatio-Temporal Attentive Graph Isomorphism Network. ICASSP (2021)
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 (2021)
Zhidong Shen, Ting Zhong
Analysis of Application Examples of Differential Privacy in Deep Learning. Comput. Intell. Neurosci. 2021 (2021)
Fan Zhou, Xin Jing, Liang Li, Ting Zhong
Inferring High-Resolutional Urban Flow With Internet Of Mobile Things. ICASSP (2021)
Guanyu Wang, Ting Zhong, Xovee Xu, Kunpeng Zhang, Fan Zhou, Yong Wang
Vector-Quantized Autoencoder With Copula for Collaborative Filtering. CIKM (2021)
Fan Zhou, Chengtai Cao, Ting Zhong, Ji Geng
Learning meta-knowledge for few-shot image emotion recognition. Expert Syst. Appl. 168 (2021)
Fan Zhou, Ce Li, Zijing Wen, Ting Zhong, Goce Trajcevski, Ashfaq A. Khokhar
Uncertainty-aware network alignment. Int. J. Intell. Syst. 36 (12) (2021)
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) (2021)
Ting Zhong, Zheyang Xu, Fan Zhou
Probabilistic Graph Neural Networks for Traffic Signal Control. ICASSP (2021)
Fan Zhou, Xovee Xu, Kunpeng Zhang, Goce Trajcevski, Ting Zhong
Variational Information Diffusion for Probabilistic Cascades Prediction. INFOCOM (2020)
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)
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 (2020)
Fan Zhou, Zijing Wen, Ting Zhong, Goce Trajcevski, Xovee Xu, Leyuan Liu
Unsupervised User Identity Linkage via Graph Neural Networks. GLOBECOM (2020)
Fan Zhou, Xovee Xu, Ce Li, Goce Trajcevski, Ting Zhong, Kunpeng Zhang
A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify Scientific Impact. CoRR (2020)
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 (2020)
Fan Zhou, Liang Li, Ting Zhong, Goce Trajcevski, Kunpeng Zhang, Jiahao Wang
Enhancing Urban Flow Maps via Neural ODEs. IJCAI (2020)
Fan Zhou, Xin Jing, Xovee Xu, Ting Zhong, Goce Trajcevski, Jin Wu
Continual Information Cascade Learning. GLOBECOM (2020)
Fan Zhou, Yuhua Mo, Goce Trajcevski, Kunpeng Zhang, Jin Wu, Ting Zhong
Recommendation via Collaborative Autoregressive Flows. Neural Networks 126 (2020)
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) (2020)
Fan Zhou, Chengtai Cao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Ji Geng
Fast Network Alignment via Graph Meta-Learning. INFOCOM (2020)
Fan Zhou, Chengtai Cao, Ting Zhong, Kunpeng Zhang, Goce Trajcevski, Ji Geng
Continual Graph Learning. CoRR (2020)
Ting Zhong, Tianliang Wang, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, Yi Yang
Interpreting Twitter User Geolocation. ACL (2020)
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) (2020)
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 (2020)
Fan Zhou, Xiuxiu Qi, Xovee Xu, Jiahao Wang, Ting Zhong, Goce Trajcevski
Meta-Learned User Preference for Topic Participation Prediction. GLOBECOM (2020)
Ting Zhong, Zijing Wen, Fan Zhou, Goce Trajcevski, Kunpeng Zhang
Session-based recommendation via flow-based deep generative networks and Bayesian inference. Neurocomputing 391 (2020)
Fan Zhou, Zijing Wen, Kunpeng Zhang, Goce Trajcevski, Ting Zhong
Variational Session-based Recommendation Using Normalizing Flows. WWW (2019)
Fan Zhou, Chengtai Cao, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, Ji Geng
Meta-GNN: On Few-shot Node Classification in Graph Meta-learning. CoRR (2019)
Qiang Gao, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Fengli Zhang
Predicting Human Mobility via Variational Attention. WWW (2019)
Xueqin Chen, Fan Zhou, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, Fengli Zhang
Information Diffusion Prediction via Recurrent Cascades Convolution. ICDE (2019)
Fan Zhou, Ruiyang Yin, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, Jin Wu
Adversarial Point-of-Interest Recommendation. WWW (2019)
Xueqin Chen, Kunpeng Zhang, Fan Zhou, Goce Trajcevski, Ting Zhong, Fengli Zhang
Information Cascades Modeling via Deep Multi-Task Learning. SIGIR (2019)
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 (2019)
Qiang Gao, Goce Trajcevski, Fan Zhou, Kunpeng Zhang, Ting Zhong, Fengli Zhang
DeepTrip: Adversarially Understanding Human Mobility for Trip Recommendation. SIGSPATIAL/GIS (2019)
Fan Zhou, Xiaoli Yue, Goce Trajcevski, Ting Zhong, Kunpeng Zhang
Context-aware Variational Trajectory Encoding and Human Mobility Inference. WWW (2019)
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)
Xucheng Luo, Minrui Xie, Kunpeng Zhang, Fan Zhou, Ting Zhong
DeepAttr: Inferring Demographic Attributes via Social Network Embedding. IEEE Access 7 (2019)
Fan Zhou, Zijing Wen, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Fang Liu
Disentangled Network Alignment with Matching Explainability. INFOCOM (2019)
Fan Zhou, Lei Liu, Kunpeng Zhang, Goce Trajcevski, Jin Wu, Ting Zhong
DeepLink: A Deep Learning Approach for User Identity Linkage. INFOCOM (2018)
Fan Zhou, Qiang Gao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Fengli Zhang
Trajectory-User Linking via Variational AutoEncoder. IJCAI (2018)
Fan Zhou, Bangying Wu, Yi Yang, Goce Trajcevski, Kunpeng Zhang, Ting Zhong
vec2Link: Unifying Heterogeneous Data for Social Link Prediction. CIKM (2018)
Qiang Gao, Goce Trajcevski, Fan Zhou, Kunpeng Zhang, Ting Zhong, Fengli Zhang
Trajectory-based social circle inference. SIGSPATIAL/GIS (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ting Zhong