A class of Cantor sets associated with the regular continued fractions. - Ting Zhong; Jing-Jing Zhang; Liang Tang (Comput. Math. Appl., 2011)

Broadcast Searchable Keyword Encryption. - Mohamed Ali; Hamza Ali; Ting Zhong; Fagen Li; Zhiguan Qin; Ahmed Abdelrahaman A. A. (CSE, 2014)

vec2Link: Unifying Heterogeneous Data for Social Link Prediction. - Fan Zhou 002; Bangying Wu; Yi Yang 042; Goce Trajcevski; Kunpeng Zhang 001; Ting Zhong (CIKM, 2018)

Trajectory-based social circle inference. - Qiang Gao 003; Goce Trajcevski; Fan Zhou 002; Kunpeng Zhang 001; Ting Zhong; Fengli Zhang (SIGSPATIAL/GIS, 2018)

Trajectory-User Linking via Variational AutoEncoder. - Fan Zhou 002; Qiang Gao 003; Goce Trajcevski; Kunpeng Zhang 001; Ting Zhong; Fengli Zhang (IJCAI, 2018)

DeepLink: A Deep Learning Approach for User Identity Linkage. - Fan Zhou 002; Lei Liu; Kunpeng Zhang 001; Goce Trajcevski; Jin Wu 002; Ting Zhong (INFOCOM, 2018)

Meta-GNN: On Few-shot Node Classification in Graph Meta-learning. - Fan Zhou 002; Chengtai Cao; Kunpeng Zhang 001; Goce Trajcevski; Ting Zhong; Ji Geng 001 (CIKM, 2019)

DeepTrip: Adversarially Understanding Human Mobility for Trip Recommendation. - Qiang Gao 003; Goce Trajcevski; Fan Zhou 002; Kunpeng Zhang 001; Ting Zhong; Fengli Zhang (SIGSPATIAL/GIS, 2019)

Information Diffusion Prediction via Recurrent Cascades Convolution. - Xueqin Chen 002; Fan Zhou 002; Kunpeng Zhang 001; Goce Trajcevski; Ting Zhong; Fengli Zhang (ICDE, 2019)

Disentangled Network Alignment with Matching Explainability. - Fan Zhou 002; Zijing Wen; Goce Trajcevski; Kunpeng Zhang 001; Ting Zhong; Fang Liu (INFOCOM, 2019)

Information Cascades Modeling via Deep Multi-Task Learning. - Xueqin Chen 002; Kunpeng Zhang 001; Fan Zhou 002; Goce Trajcevski; Ting Zhong; Fengli Zhang (SIGIR, 2019)

Variational Session-based Recommendation Using Normalizing Flows. - Fan Zhou 002; Zijing Wen; Kunpeng Zhang 001; Goce Trajcevski; Ting Zhong (WWW, 2019)

Context-aware Variational Trajectory Encoding and Human Mobility Inference. - Fan Zhou 002; Xiaoli Yue; Goce Trajcevski; Ting Zhong; Kunpeng Zhang 001 (WWW, 2019)

Adversarial Point-of-Interest Recommendation. - Fan Zhou 002; Ruiyang Yin; Kunpeng Zhang 001; Goce Trajcevski; Ting Zhong; Jin Wu 002 (WWW, 2019)

Predicting Human Mobility via Variational Attention. - Qiang Gao 003; Fan Zhou 002; Goce Trajcevski; Kunpeng Zhang 001; Ting Zhong; Fengli Zhang (WWW, 2019)

DeepAttr: Inferring Demographic Attributes via Social Network Embedding. - Xucheng Luo; Minrui Xie; Kunpeng Zhang 001; Fan Zhou 002; Ting Zhong (IEEE Access, 2019)

Motion Based Inference of Social Circles via Self-Attention and Contextualized Embedding. - Ting Zhong; Fang Liu; Fan Zhou 002; Goce Trajcevski; Kunpeng Zhang 001 (IEEE Access, 2019)

Interpreting Twitter User Geolocation. - Ting Zhong; Tianliang Wang; Fan Zhou 002; Goce Trajcevski; Kunpeng Zhang 001; Yi Yang 042 (ACL, 2020)

Continual Information Cascade Learning. - Fan Zhou 002; Xin Jing; Xovee Xu; Ting Zhong; Goce Trajcevski; Jin Wu 002 (GLOBECOM, 2020)

Meta-Learned User Preference for Topic Participation Prediction. - Fan Zhou 002; Xiuxiu Qi; Xovee Xu; Jiahao Wang; Ting Zhong; Goce Trajcevski (GLOBECOM, 2020)

Unsupervised User Identity Linkage via Graph Neural Networks. - Fan Zhou 002; Zijing Wen; Ting Zhong; Goce Trajcevski; Xovee Xu; Leyuan Liu 002 (GLOBECOM, 2020)

Enhancing Urban Flow Maps via Neural ODEs. - Fan Zhou 002; Liang Li; Ting Zhong; Goce Trajcevski; Kunpeng Zhang 001; Jiahao Wang (IJCAI, 2020)

Fast Network Alignment via Graph Meta-Learning. - Fan Zhou 002; Chengtai Cao; Goce Trajcevski; Kunpeng Zhang 001; Ting Zhong; Ji Geng 001 (INFOCOM, 2020)

Variational Information Diffusion for Probabilistic Cascades Prediction. - Fan Zhou 002; Xovee Xu; Kunpeng Zhang 001; Goce Trajcevski; Ting Zhong (INFOCOM, 2020)

Forecasting the Evolution of Hydropower Generation. - Fan Zhou 002; Liang Li; Kunpeng Zhang 001; Goce Trajcevski; Fuming Yao; Ying Huang; Ting Zhong; Jiahao Wang; Qiao Liu 003 (KDD, 2020)

Multiple-Aspect Attentional Graph Neural Networks for Online Social Network User Localization. - Ting Zhong; Tianliang Wang; Jiahao Wang; Jin Wu 002; Fan Zhou 002 (IEEE Access, 2020)

Continual Graph Learning. - Fan Zhou 002; Chengtai Cao; Ting Zhong; Kunpeng Zhang 001; Goce Trajcevski; Ji Geng 001 (CoRR, 2020)

A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify Scientific Impact. - Fan Zhou 002; Xovee Xu; Ce Li 003; Goce Trajcevski; Ting Zhong; Kunpeng Zhang 001 (CoRR, 2020)

Prediction of early stabilization time of electrolytic capacitor based on ARIMA-Bi_LSTM hybrid model. - Zeping Wang; Jianfeng Qu; Xiaoyu Fang; Hao Li; Ting Zhong; Hao Ren (Neurocomputing, 2020)

Session-based recommendation via flow-based deep generative networks and Bayesian inference. - Ting Zhong; Zijing Wen; Fan Zhou 002; Goce Trajcevski; Kunpeng Zhang 001 (Neurocomputing, 2020)

Reinforced Spatiotemporal Attentive Graph Neural Networks for Traffic Forecasting. - Fan Zhou 002; Qing Yang 017; Kunpeng Zhang 001; Goce Trajcevski; Ting Zhong; Ashfaq Khokhar 001 (IEEE Internet Things J., 2020)

An Approach Based on Customized Robust Cloaked Region for Geographic Location Information Privacy Protection. - Zhidong Shen; Siyuan Lu; Huijuan Huang; Meng Yuan; Guoming Tang; Weiying Chen; Taige Zhang; Ting Zhong (Mob. Inf. Syst., 2020)

Recommendation via Collaborative Autoregressive Flows. - Fan Zhou 002; Yuhua Mo; Goce Trajcevski; Kunpeng Zhang 001; Jin Wu 002; Ting Zhong (Neural Networks, 2020)

Hybrid graph convolutional networks with multi-head attention for location recommendation. - Ting Zhong; Shengming Zhang; Fan Zhou 002; Kunpeng Zhang 001; Goce Trajcevski; Jin Wu 002 (World Wide Web, 2020)

Vector-Quantized Autoencoder With Copula for Collaborative Filtering. - Guanyu Wang 006; Ting Zhong; Xovee Xu; Kunpeng Zhang 001; Fan Zhou 002; Yong Wang 046 (CIKM, 2021)

Inferring High-Resolutional Urban Flow With Internet Of Mobile Things. - Fan Zhou 002; Xin Jing; Liang Li; Ting Zhong (ICASSP, 2021)

Traffic Speed Forecasting Via Spatio-Temporal Attentive Graph Isomorphism Network. - Qing Yang 017; Ting Zhong; Fan Zhou 002 (ICASSP, 2021)

Probabilistic Graph Neural Networks for Traffic Signal Control. - Ting Zhong; Zheyang Xu; Fan Zhou 002 (ICASSP, 2021)

Analysis of Application Examples of Differential Privacy in Deep Learning. - Zhidong Shen; Ting Zhong (Comput. Intell. Neurosci., 2021)

An optical biomimetic eyes with interested object imaging. - Jun Li 080; Shimei Chen; Shangyuan Wang; Miao Lei; Xiaofang Dai; Chuangxue Liang; Kunyuan Xu; Shuxin Lin; Yuhui Li; Yuer Fan; Ting Zhong (CoRR, 2021)

Learning meta-knowledge for few-shot image emotion recognition. - Fan Zhou 002; Chengtai Cao; Ting Zhong; Ji Geng 001 (Expert Syst. Appl., 2021)

Uncertainty-aware network alignment. - Fan Zhou 002; Ce Li 003; Zijing Wen; Ting Zhong; Goce Trajcevski; Ashfaq Khokhar 001 (Int. J. Intell. Syst., 2021)

The intermittent fault diagnosis of analog circuits based on EEMD-DBN. - Ting Zhong; Jianfeng Qu; Xiaoyu Fang; Hao Li; Zeping Wang (Neurocomputing, 2021)

Self-supervised human mobility learning for next location prediction and trajectory classification. - Fan Zhou 002; Yurou Dai; Qiang Gao 003; Pengyu Wang; Ting Zhong (Knowl. Based Syst., 2021)

Variational Graph Neural Networks for Road Traffic Prediction in Intelligent Transportation Systems. - Fan Zhou 002; Qing Yang 017; Ting Zhong; Dajiang Chen; Ning Zhang 007 (IEEE Trans. Ind. Informatics, 2021)

Dynamic Manifold Learning for Land Deformation Forecasting. - Fan Zhou 002; Rongfan Li; Qiang Gao 003; Goce Trajcevski; Kunpeng Zhang 001; Ting Zhong (AAAI, 2022)

Learning Contrastive Multi-View Graphs for Recommendation (Student Abstract). - Zhangtao Cheng; Ting Zhong; Kunpeng Zhang 001; Joojo Walker; Fan Zhou 002 (AAAI, 2022)

A Probabilistic Framework for Land Deformation Prediction (Student Abstract). - Rongfan Li; Fan Zhou 002; Goce Trajcevski; Kunpeng Zhang 001; Ting Zhong (AAAI, 2022)

PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model. - Zhiyuan Wang 006; Xovee Xu; Goce Trajcevski; Kunpeng Zhang 001; Ting Zhong; Fan Zhou 002 (AAAI, 2022)

Conditional Collaborative Filtering Process for Top-K Recommender System (Student Abstract). - Guanyu Wang 006; Xovee Xu; Ting Zhong; Fan Zhou 002 (AAAI, 2022)

Fine-Grained Urban Flow Inference via Normalizing Flow (Student Abstract). - Haoyang Yu 003; Xovee Xu; Ting Zhong; Fan Zhou 002 (AAAI, 2022)

Linking Transformer to Hawkes Process for Information Cascade Prediction (Student Abstract). - Liu Yu 001; Xovee Xu; Ting Zhong; Goce Trajcevski; Fan Zhou 002 (AAAI, 2022)

Probabilistic Fine-Grained Urban Flow Inference with Normalizing Flows. - Ting Zhong; Haoyang Yu 003; Rongfan Li; Xovee Xu; Xucheng Luo; Fan Zhou 002 (ICASSP, 2022)

Modeling Multi-View Interactions with Contrastive Graph Learning for Collaborative Filtering. - Zhangtao Cheng; Joojo Walker; Ting Zhong; Fan Zhou 002 (IJCNN, 2022)

CausalRD: A Causal View of Rumor Detection via Eliminating Popularity and Conformity Biases. - Weifeng Zhang; Ting Zhong; Ce Li 003; Kunpeng Zhang 001; Fan Zhou 002 (INFOCOM, 2022)

Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning. - Rongfan Li; Ting Zhong; Xinke Jiang; Goce Trajcevski; Jin Wu 002; Fan Zhou 002 (KDD, 2022)

Recommendation via Collaborative Diffusion Generative Model. - Joojo Walker; Ting Zhong; Fengli Zhang; Qiang Gao 003; Fan Zhou 002 (KSEM (3), 2022)

Learning Latent Seasonal-Trend Representations for Time Series Forecasting. - Zhiyuan Wang 006; Xovee Xu; Weifeng Zhang; Goce Trajcevski; Ting Zhong; Fan Zhou 002 (NeurIPS, 2022)

Social-trust-aware variational recommendation. - Joojo Walker; Fengli Zhang; Fan Zhou 002; Ting Zhong (Int. J. Intell. Syst., 2022)

HydroFlow: Towards probabilistic electricity demand prediction using variational autoregressive models and normalizing flows. - Fan Zhou 002; Zhiyuan Wang 006; Ting Zhong; Goce Trajcevski; Ashfaq Khokhar 001 (Int. J. Intell. Syst., 2022)

Identifying user geolocation with Hierarchical Graph Neural Networks and explainable fusion. - Fan Zhou 002; Tianliang Wang; Ting Zhong; Goce Trajcevski (Inf. Fusion, 2022)

Contextual spatio-temporal graph representation learning for reinforced human mobility mining. - Qiang Gao 003; Fan Zhou 002; Ting Zhong; Goce Trajcevski; Xin Yang 012; Tianrui Li 001 (Inf. Sci., 2022)

Variational cold-start resistant recommendation. - Joojo Walker; Fengli Zhang; Ting Zhong; Fan Zhou 002; Edward Yellakuor Baagyere (Inf. Sci., 2022)

Heterogeneous dynamical academic network for learning scientific impact propagation. - Xovee Xu; Ting Zhong; Ce Li 003; Goce Trajcevski; Fan Zhou 002 (Knowl. Based Syst., 2022)

Identifying IP Usage Scenarios: Problems, Data, and Benchmarks. - Fan Zhou 002; Weifeng Zhang; Yong Wang 046; Ting Zhong; Goce Trajcevski; Ashfaq Khokhar 001 (IEEE Netw., 2022)

Learning Sentimental and Financial Signals With Normalizing Flows for Stock Movement Prediction. - Wenxin Tai; Ting Zhong; Yuhua Mo; Fan Zhou 002 (IEEE Signal Process. Lett., 2022)

MetaMove: On Improving Human Mobility Classification and Prediction via Metalearning. - Fan Zhou 002; Xin Liu; Ting Zhong; Goce Trajcevski (IEEE Trans. Cybern., 2022)

Overcoming Forgetting in Fine-Grained Urban Flow Inference via Adaptive Knowledge Replay. - Haoyang Yu 003; Xovee Xu; Ting Zhong; Fan Zhou 002 (AAAI, 2023)

CasODE: Modeling Irregular Information Cascade via Neural Ordinary Differential Equations (Student Abstract). - Zhangtao Cheng; Xovee Xu; Ting Zhong; Fan Zhou 002; Goce Trajcevski (AAAI, 2023)

Less Is More: Volatility Forecasting with Contrastive Representation Learning (Student Abstract). - Yanlong Huang; Wenxin Tai; Ting Zhong; Kunpeng Zhang 001 (AAAI, 2023)

Debiasing Intrinsic Bias and Application Bias Jointly via Invariant Risk Minimization (Student Abstract). - Yuzhou Mao; Liu Yu 001; Yi Yang 042; Fan Zhou 002; Ting Zhong (AAAI, 2023)

A Probabilistic Graph Diffusion Model for Source Localization (Student Abstract). - Tangjiang Qian; Xovee Xu; Zhe Xiao; Ting Zhong; Fan Zhou 002 (AAAI, 2023)

Revisiting Denoising Diffusion Probabilistic Models for Speech Enhancement: Condition Collapse, Efficiency and Refinement. - Wenxin Tai; Fan Zhou 002; Goce Trajcevski; Ting Zhong (AAAI, 2023)

Learning Dynamic Temporal Relations with Continuous Graph for Multivariate Time Series Forecasting (Student Abstract). - Zhiyuan Wang 006; Fan Zhou 002; Goce Trajcevski; Kunpeng Zhang 001; Ting Zhong (AAAI, 2023)

DyCVAE: Learning Dynamic Causal Factors for Non-stationary Series Domain Generalization (Student Abstract). - Weifeng Zhang; Zhiyuan Wang 006; Kunpeng Zhang 001; Ting Zhong; Fan Zhou 002 (AAAI, 2023)

Causal-Debias: Unifying Debiasing in Pretrained Language Models and Fine-tuning via Causal Invariant Learning. - Fan Zhou 002; Yuzhou Mao; Liu Yu 001; Yi Yang 042; Ting Zhong (ACL (1), 2023)

Somali Information Retrieval Corpus: Bridging the Gap between Query Translation and Dedicated Language Resources. - Abdisalam Badel; Ting Zhong; Wenxin Tai; Fan Zhou 002 (EMNLP, 2023)

TrustGeo: Uncertainty-Aware Dynamic Graph Learning for Trustworthy IP Geolocation. - Wenxin Tai; Bin Chen; Fan Zhou 002; Ting Zhong; Goce Trajcevski; Yong Wang 046; Kai Chen 005 (KDD, 2023)

RIPGeo: Robust Street-Level IP Geolocation. - Wenxin Tai; Bin Chen; Ting Zhong; Yong Wang 046; Kai Chen 005; Fan Zhou 002 (MDM, 2023)

DOSE: Diffusion Dropout with Adaptive Prior for Speech Enhancement. - Wenxin Tai; Yue Lei; Fan Zhou 002; Goce Trajcevski; Ting Zhong (NeurIPS, 2023)

Exploring indirect entity relations for knowledge graph enhanced recommender system. - Zhonghai He; Bei Hui; Shengming Zhang; Chunjing Xiao; Ting Zhong; Fan Zhou 002 (Expert Syst. Appl., 2023)

RRN: A differential private approach to preserve privacy in image classification. - Zhidong Shen; Ting Zhong; Hui Sun; Baiwen Qi (IET Image Process., 2023)

Dynamic transformer ODEs for large-scale reservoir inflow forecasting. - Xovee Xu; Zhiyuan Wang 006; Fan Zhou 002; Ying Huang; Ting Zhong; Goce Trajcevski (Knowl. Based Syst., 2023)

Semi-Supervised Anomaly Detection Via Neural Process. - Fan Zhou 002; Guanyu Wang 006; Kunpeng Zhang 001; Siyuan Liu 001; Ting Zhong (IEEE Trans. Knowl. Data Eng., 2023)

MetaGeo: A General Framework for Social User Geolocation Identification With Few-Shot Learning. - Fan Zhou 002; Xiuxiu Qi; Kunpeng Zhang 001; Goce Trajcevski; Ting Zhong (IEEE Trans. Neural Networks Learn. Syst., 2023)

Spatial-Temporal Contrasting for Fine-Grained Urban Flow Inference. - Xovee Xu; Zhiyuan Wang 006; Qiang Gao 003; Ting Zhong; Bei Hui; Fan Zhou 002; Goce Trajcevski (IEEE Trans. Big Data, 2023)

Interpreting Temporal Knowledge Graph Reasoning (Student Abstract). - Bin Chen; Kai Yang; Wenxin Tai; Zhangtao Cheng; Leyuan Liu 002; Ting Zhong; Fan Zhou 002 (AAAI, 2024)

Explainable Earnings Call Representation Learning (Student Abstract). - Yanlong Huang; Yue Lei; Wenxin Tai; Zhangtao Cheng; Ting Zhong; Kunpeng Zhang 001 (AAAI, 2024)

Multi-Scale Dynamic Graph Learning for Time Series Anomaly Detection (Student Abstract). - Yixuan Jin; Yutao Wei; Zhangtao Cheng; Wenxin Tai; Chunjing Xiao; Ting Zhong (AAAI, 2024)

Shallow Diffusion for Fast Speech Enhancement (Student Abstract). - Yue Lei; Bin Chen; Wenxin Tai; Ting Zhong; Fan Zhou 002 (AAAI, 2024)

Counterfactual Graph Learning for Anomaly Detection with Feature Disentanglement and Generation (Student Abstract). - Yutao Wei; Wenzheng Shu; Zhangtao Cheng; Wenxin Tai; Chunjing Xiao; Ting Zhong (AAAI, 2024)

Improving IP Geolocation With Target-Centric IP Graph (Student Abstract). - Kai Yang; Jiayang Li; Wenxin Tai; Zhenhui Li; Ting Zhong; Guangqiang Yin; Yong Wang 011 (AAAI, 2024)

Decoupling User Relationships Guides Information Diffusion Prediction (Student Abstract). - Wenxue Ye; Shichong Li; Zhangtao Cheng; Xovee Xu; Ting Zhong; Bei Hui; Fan Zhou 002 (AAAI, 2024)

THGFormer: Time-Aware Hypergraph Learning for Multimodal Social Media Popularity Prediction (Student Abstract). - Jienan Zhang; Jie Liu; Zhangtao Cheng; Xovee Xu; Fang Liu; Ting Zhong; Kunpeng Zhang 001 (AAAI, 2024)

Exploring Self-Explainable Street-Level IP Geolocation with Graph Information Bottleneck. - Kai Yang; Wenxin Tai; Zhenhui Li; Ting Zhong; Guangqiang Yin; Yong Wang 046; Fan Zhou 002 (ICASSP, 2024)

Retrieval-Augmented Hypergraph for Multimodal Social Media Popularity Prediction. - Zhangtao Cheng; Jienan Zhang; Xovee Xu; Goce Trajcevski; Ting Zhong; Fan Zhou 002 (KDD, 2024)

Analyzing and Mitigating Repetitions in Trip Recommendation. - Wenzheng Shu; Kangqi Xu; Wenxin Tai; Ting Zhong; Yong Wang 046; Fan Zhou 002 (SIGIR, 2024)

Self-Explainable Next POI Recommendation. - Kai Yang; Yi Yang 042; Qiang Gao 003; Ting Zhong; Yong Wang 046; Fan Zhou 002 (SIGIR, 2024)

Predicting Micro-video Popularity via Multi-modal Retrieval Augmentation. - Ting Zhong; Jian Lang; Yifan Zhang; Zhangtao Cheng; Kunpeng Zhang 001; Fan Zhou 002 (SIGIR, 2024)

Information Diffusion Prediction via Cascade-Retrieved In-context Learning. - Ting Zhong; Jienan Zhang; Zhangtao Cheng; Fan Zhou 002; Xueqin Chen 002 (SIGIR, 2024)

Overcoming Catastrophic Forgetting in Continual Fine-Grained Urban Flow Inference. - Xovee Xu; Ting Zhong; Haoyang Yu 003; Fan Zhou 002; Goce Trajcevski (ACM Trans. Spatial Algorithms Syst., 2024)

Learning Spatiotemporal Manifold Representation for Probabilistic Land Deformation Prediction. - Xovee Xu; Ting Zhong; Fan Zhou 002; Rongfan Li; Goce Trajcevski; Qinggang Meng (IEEE Trans. Cybern., 2024)

Information Cascade Popularity Prediction via Probabilistic Diffusion. - Zhangtao Cheng; Fan Zhou 002; Xovee Xu; Kunpeng Zhang 001; Goce Trajcevski; Ting Zhong; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2024)

In-context Prompt-augmented Micro-video Popularity Prediction. - Zhangtao Cheng; Jiao Li; Jian Lang; Ting Zhong; Fan Zhou 002 (AAAI, 2025)

Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning. - Jian Lang; Zhangtao Cheng; Ting Zhong; Fan Zhou 002 (AAAI, 2025)

CPSNet: Comprehensive Enhancement Representation for Polyp Segmentation Task. - Jiati Cai; Xiaogang Liu; Hongjie Yang; Yi Ding; Ting Zhong; Zhen Qin (ICASSP, 2025)

Commonality Augmented Disentanglement for Multimodal Crowdfunding Success Prediction. - Jiayang Li; Xovee Xu; Yili Li; Ting Zhong; Kunpeng Zhang 001; Fan Zhou 002 (ICASSP, 2025)

Seeing the Unseen in Micro-Video Popularity Prediction: Self-Correlation Retrieval for Missing Modality Generation. - Zhangtao Cheng; Jian Lang; Ting Zhong; Fan Zhou 002 (KDD (1), 2025)

Following Clues, Approaching the Truth: Explainable Micro-Video Rumor Detection via Chain-of-Thought Reasoning. - Rongpei Hong; Jian Lang; Jin Xu; Zhangtao Cheng; Ting Zhong; Fan Zhou 002 (WWW, 2025)

Tree species identification based on convolutional neural network and feature fusion. - Jihui Wu; Ting Zhong; Guanli Li; Yubin Lan; Wanjie Xiong (Comput. Electron. Agric., 2025)

Identity-based searchable encryption with cryptographic reverse firewalls for IoT-based healthcare systems. - Mazin Taha; Ting Zhong; Rashad Elhabob; Hu Xiong; Saru Kumari; Chien-Ming Chen 001; Mohammed J. F. Alenazi (Comput. Electr. Eng., 2025)

Mapping the unseen: Robust IP geolocation through the lens of uncertainty quantification. - Xueting Liu 005; Xiaohan Wang; Chao Li 053; Joojo Walker; Wenxin Tai; Ting Zhong; Yong Wang 046; Fan Zhou 002; Kai Chen 005 (Comput. Networks, 2025)

Extracting key insights from earnings call transcript via information-theoretic contrastive learning. - Yanlong Huang; Wenxin Tai; Fan Zhou 002; Qiang Gao 003; Ting Zhong; Kunpeng Zhang 001 (Inf. Process. Manag., 2025)

Information diffusion prediction via meta-knowledge learners. - Zhangtao Cheng; Jienan Zhang; Xovee Xu; Wenxin Tai; Fan Zhou 002; Goce Trajcevski; Ting Zhong (Inf. Sci., 2025)

Secure and cancelable fingerprint templates with privacy-preserving mapping and template encoding. - Md Sabuj Khan; Ting Zhong; Fan Zhou 002; Hengjian Li (J. Inf. Secur. Appl., 2025)

Disentangling Inter- and Intra-Cascades Dynamics for Information Diffusion Prediction. - Zhangtao Cheng; Yang Liu 245; Ting Zhong; Kunpeng Zhang 001; Fan Zhou 002; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2025)

Certificateless searchable encryption with cryptographic reverse firewalls for IIoT. - Mazin Taha; Ting Zhong; Rashad Elhabob; Hu Xiong; Mohammed Amoon; Saru Kumari (Comput. Stand. Interfaces, 2026)

MoCoPCI: Inter-frame motion correlation guided efficient 3D point cloud interpolation. - Pengfei Yang; Feng Wu; Minyang Liu; Ting Zhong; Fan Zhou 002 (Pattern Recognit., 2026)

Generalizing across non-stationary series via learning dynamic causal factors. - Weifeng Zhang; Yan Liu; Xovee Xu; Fan Zhou 002; Ting Zhong; Kunpeng Zhang 001 (Pattern Recognit., 2026)