Ting Zhong

Orcid: 0000-0002-8163-3146

According to our database1, Ting Zhong authored at least 95 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Learning Spatiotemporal Manifold Representation for Probabilistic Land Deformation Prediction.
IEEE Trans. Cybern., January, 2024

THGFormer: Time-Aware Hypergraph Learning for Multimodal Social Media Popularity Prediction (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Decoupling User Relationships Guides Information Diffusion Prediction (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Improving IP Geolocation With Target-Centric IP Graph (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Counterfactual Graph Learning for Anomaly Detection with Feature Disentanglement and Generation (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Shallow Diffusion for Fast Speech Enhancement (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Multi-Scale Dynamic Graph Learning for Time Series Anomaly Detection (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Explainable Earnings Call Representation Learning (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Interpreting Temporal Knowledge Graph Reasoning (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Spatial-Temporal Contrasting for Fine-Grained Urban Flow Inference.
IEEE Trans. Big Data, December, 2023

MetaGeo: A General Framework for Social User Geolocation Identification With Few-Shot Learning.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Semi-Supervised Anomaly Detection Via Neural Process.
IEEE Trans. Knowl. Data Eng., October, 2023

Dynamic transformer ODEs for large-scale reservoir inflow forecasting.
Knowl. Based Syst., 2023

RRN: A differential private approach to preserve privacy in image classification.
IET Image Process., 2023

Exploring indirect entity relations for knowledge graph enhanced recommender system.
Expert Syst. Appl., 2023

DOSE: Diffusion Dropout with Adaptive Prior for Speech Enhancement.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

RIPGeo: Robust Street-Level IP Geolocation.
Proceedings of the 24th IEEE International Conference on Mobile Data Management, 2023

TrustGeo: Uncertainty-Aware Dynamic Graph Learning for Trustworthy IP Geolocation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Somali Information Retrieval Corpus: Bridging the Gap between Query Translation and Dedicated Language Resources.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Causal-Debias: Unifying Debiasing in Pretrained Language Models and Fine-tuning via Causal Invariant Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

DyCVAE: Learning Dynamic Causal Factors for Non-stationary Series Domain Generalization (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Learning Dynamic Temporal Relations with Continuous Graph for Multivariate Time Series Forecasting (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Revisiting Denoising Diffusion Probabilistic Models for Speech Enhancement: Condition Collapse, Efficiency and Refinement.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

A Probabilistic Graph Diffusion Model for Source Localization (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Debiasing Intrinsic Bias and Application Bias Jointly via Invariant Risk Minimization (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Less Is More: Volatility Forecasting with Contrastive Representation Learning (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

CasODE: Modeling Irregular Information Cascade via Neural Ordinary Differential Equations (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Overcoming Forgetting in Fine-Grained Urban Flow Inference via Adaptive Knowledge Replay.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
MetaMove: On Improving Human Mobility Classification and Prediction via Metalearning.
IEEE Trans. Cybern., 2022

Learning Sentimental and Financial Signals With Normalizing Flows for Stock Movement Prediction.
IEEE Signal Process. Lett., 2022

Identifying IP Usage Scenarios: Problems, Data, and Benchmarks.
IEEE Netw., 2022

Heterogeneous dynamical academic network for learning scientific impact propagation.
Knowl. Based Syst., 2022

Variational cold-start resistant recommendation.
Inf. Sci., 2022

Contextual spatio-temporal graph representation learning for reinforced human mobility mining.
Inf. Sci., 2022

Identifying user geolocation with Hierarchical Graph Neural Networks and explainable fusion.
Inf. Fusion, 2022

HydroFlow: Towards probabilistic electricity demand prediction using variational autoregressive models and normalizing flows.
Int. J. Intell. Syst., 2022

Social-trust-aware variational recommendation.
Int. J. Intell. Syst., 2022

Learning Latent Seasonal-Trend Representations for Time Series Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Recommendation via Collaborative Diffusion Generative Model.
Proceedings of the Knowledge Science, Engineering and Management, 2022

Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

CausalRD: A Causal View of Rumor Detection via Eliminating Popularity and Conformity Biases.
Proceedings of the IEEE INFOCOM 2022, 2022

Modeling Multi-View Interactions with Contrastive Graph Learning for Collaborative Filtering.
Proceedings of the International Joint Conference on Neural Networks, 2022

Probabilistic Fine-Grained Urban Flow Inference with Normalizing Flows.
Proceedings of the IEEE International Conference on Acoustics, 2022

Linking Transformer to Hawkes Process for Information Cascade Prediction (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Fine-Grained Urban Flow Inference via Normalizing Flow (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Conditional Collaborative Filtering Process for Top-K Recommender System (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

A Probabilistic Framework for Land Deformation Prediction (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Learning Contrastive Multi-View Graphs for Recommendation (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Dynamic Manifold Learning for Land Deformation Forecasting.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Variational Graph Neural Networks for Road Traffic Prediction in Intelligent Transportation Systems.
IEEE Trans. Ind. Informatics, 2021

Self-supervised human mobility learning for next location prediction and trajectory classification.
Knowl. Based Syst., 2021

The intermittent fault diagnosis of analog circuits based on EEMD-DBN.
Neurocomputing, 2021

Uncertainty-aware network alignment.
Int. J. Intell. Syst., 2021

Learning meta-knowledge for few-shot image emotion recognition.
Expert Syst. Appl., 2021

An optical biomimetic eyes with interested object imaging.
CoRR, 2021

Analysis of Application Examples of Differential Privacy in Deep Learning.
Comput. Intell. Neurosci., 2021

Probabilistic Graph Neural Networks for Traffic Signal Control.
Proceedings of the IEEE International Conference on Acoustics, 2021

Traffic Speed Forecasting Via Spatio-Temporal Attentive Graph Isomorphism Network.
Proceedings of the IEEE International Conference on Acoustics, 2021

Inferring High-Resolutional Urban Flow With Internet Of Mobile Things.
Proceedings of the IEEE International Conference on Acoustics, 2021

Vector-Quantized Autoencoder With Copula for Collaborative Filtering.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Hybrid graph convolutional networks with multi-head attention for location recommendation.
World Wide Web, 2020

Recommendation via Collaborative Autoregressive Flows.
Neural Networks, 2020

An Approach Based on Customized Robust Cloaked Region for Geographic Location Information Privacy Protection.
Mob. Inf. Syst., 2020

Reinforced Spatiotemporal Attentive Graph Neural Networks for Traffic Forecasting.
IEEE Internet Things J., 2020

Session-based recommendation via flow-based deep generative networks and Bayesian inference.
Neurocomputing, 2020

Prediction of early stabilization time of electrolytic capacitor based on ARIMA-Bi_LSTM hybrid model.
Neurocomputing, 2020

A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify Scientific Impact.
CoRR, 2020

Continual Graph Learning.
CoRR, 2020

Multiple-Aspect Attentional Graph Neural Networks for Online Social Network User Localization.
IEEE Access, 2020

Forecasting the Evolution of Hydropower Generation.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Variational Information Diffusion for Probabilistic Cascades Prediction.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Fast Network Alignment via Graph Meta-Learning.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Enhancing Urban Flow Maps via Neural ODEs.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Unsupervised User Identity Linkage via Graph Neural Networks.
Proceedings of the IEEE Global Communications Conference, 2020

Meta-Learned User Preference for Topic Participation Prediction.
Proceedings of the IEEE Global Communications Conference, 2020

Continual Information Cascade Learning.
Proceedings of the IEEE Global Communications Conference, 2020

Interpreting Twitter User Geolocation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Motion Based Inference of Social Circles via Self-Attention and Contextualized Embedding.
IEEE Access, 2019

DeepAttr: Inferring Demographic Attributes via Social Network Embedding.
IEEE Access, 2019

Predicting Human Mobility via Variational Attention.
Proceedings of the World Wide Web Conference, 2019

Adversarial Point-of-Interest Recommendation.
Proceedings of the World Wide Web Conference, 2019

Context-aware Variational Trajectory Encoding and Human Mobility Inference.
Proceedings of the World Wide Web Conference, 2019

Variational Session-based Recommendation Using Normalizing Flows.
Proceedings of the World Wide Web Conference, 2019

Information Cascades Modeling via Deep Multi-Task Learning.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Disentangled Network Alignment with Matching Explainability.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Information Diffusion Prediction via Recurrent Cascades Convolution.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

DeepTrip: Adversarially Understanding Human Mobility for Trip Recommendation.
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

Meta-GNN: On Few-shot Node Classification in Graph Meta-learning.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
DeepLink: A Deep Learning Approach for User Identity Linkage.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Trajectory-User Linking via Variational AutoEncoder.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Trajectory-based social circle inference.
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018

vec2Link: Unifying Heterogeneous Data for Social Link Prediction.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2014
Broadcast Searchable Keyword Encryption.
Proceedings of the 17th IEEE International Conference on Computational Science and Engineering, 2014

2011
A class of Cantor sets associated with the regular continued fractions.
Comput. Math. Appl., 2011


  Loading...