High-End Analytics and Data Mining for Sustainable Competitive Advantage. - Alok N. Choudhary; Ramanathan Narayanan; Kunpeng Zhang 001 (ICISTM, 2010)

Voice of the Customers: Mining Online Customer Reviews for Product Feature-based Ranking. - Kunpeng Zhang 001; Ramanathan Narayanan; Alok N. Choudhary (WOSN, 2010)

Mining millions of reviews: a technique to rank products based on importance of reviews. - Kunpeng Zhang 001; Yu Cheng 001; Wei-keng Liao; Alok N. Choudhary (ICEC, 2011)

Learning to Group Web Text Incorporating Prior Information. - Yu Cheng 001; Kunpeng Zhang 001; Yusheng Xie; Ankit Agrawal 001; Wei-keng Liao; Alok N. Choudhary (ICDM Workshops, 2011)

SES: Sentiment Elicitation System for Social Media Data. - Kunpeng Zhang 001; Yu Cheng 001; Yusheng Xie; Daniel Honbo; Ankit Agrawal 001; Diana Palsetia; Kathy Lee; Wei-keng Liao; Alok N. Choudhary (ICDM Workshops, 2011)

On active learning in hierarchical classification. - Yu Cheng 001; Kunpeng Zhang 001; Yusheng Xie; Ankit Agrawal 001; Alok N. Choudhary (CIKM, 2012)

Probabilistic macro behavioral targeting. - Yusheng Xie; Yu Cheng 001; Daniel Honbo; Kunpeng Zhang 001; Ankit Agrawal 001; Alok N. Choudhary; Yi Gao; Jiangtao Gou (DUBMMSM, 2012)

CluChunk: clustering large scale user-generated content incorporating chunklet information. - Yu Cheng 001; Yusheng Xie; Kunpeng Zhang 001; Ankit Agrawal 001; Alok N. Choudhary (BigMine, 2012)

VOXSUP: a social engagement framework. - Yusheng Xie; Daniel Honbo; Alok N. Choudhary; Kunpeng Zhang 001; Yu Cheng 001; Ankit Agrawal 001 (KDD, 2012)

Sentiment identification by incorporating syntax, semantics and context information. - Kunpeng Zhang 001; Yusheng Xie; Yu Cheng 001; Daniel Honbo; Doug Downey; Ankit Agrawal 001; Wei-keng Liao; Alok N. Choudhary (SIGIR, 2012)

A probabilistic graphical model for brand reputation assessment in social networks. - Kunpeng Zhang 001; Doug Downey; Zhengzhang Chen; Yusheng Xie; Yu Cheng 001; Ankit Agrawal 001; Wei-keng Liao; Alok N. Choudhary (ASONAM, 2013)

Elver: Recommending Facebook pages in cold start situation without content features. - Yusheng Xie; Zhengzhang Chen; Kunpeng Zhang 001; Chen Jin; Yu Cheng 001; Ankit Agrawal 001; Alok N. Choudhary (IEEE BigData, 2013)

Forecast Oriented Classification of Spatio-Temporal Extreme Events. - Zhengzhang Chen; Yusheng Xie; Yu Cheng 001; Kunpeng Zhang 001; Ankit Agrawal 001; Wei-keng Liao; Nagiza F. Samatova; Alok N. Choudhary (IJCAI, 2013)

Graphical Modeling of Macro Behavioral Targeting in Social Networks. - Ankit Agrawal 001; Zhengzhang Chen; Yu Cheng 001; Alok N. Choudhary; Haotian Liu; Md. Mostofa Ali Patwary; Yusheng Xie; Kunpeng Zhang 001 (SDM, 2013)

A Systematic Framework for Sentiment Identification by Modeling User Social Effects. - Kunpeng Zhang 001; Yi Yang 042; Aaron Sun; Hengchang Liu (WI-IAT (1), 2014)

MuSES: Multilingual Sentiment Elicitation System for Social Media Data. - Yusheng Xie; Zhengzhang Chen; Kunpeng Zhang 001; Yu Cheng 001; Daniel Honbo; Ankit Agrawal 001; Alok N. Choudhary (IEEE Intell. Syst., 2014)

Incorporating conditional random fields and active learning to improve sentiment identification. - Kunpeng Zhang 001; Yusheng Xie; Yi Yang 042; Aaron Sun; Hengchang Liu; Alok N. Choudhary (Neural Networks, 2014)

Reducing infrequent-token perplexity via variational corpora. - Yusheng Xie; Pranjal Daga; Yu Cheng 001; Kunpeng Zhang 001; Ankit Agrawal 001; Alok N. Choudhary (ACL (2), 2015)

Identifying Human Mobility via Trajectory Embeddings. - Qiang Gao 003; Fan Zhou 002; Kunpeng Zhang 001; Goce Trajcevski; Xucheng Luo; Fengli Zhang (IJCAI, 2017)

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)

An Efficient Recommender System Using Locality Sensitive Hashing. - Kunpeng Zhang 001; Shaokun Fan; Harry Jiannan Wang (HICSS, 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)

Predicting Topic Participation by Jointly Learning User Intrinsic and Extrinsic Preference. - Fan Zhou 002; Lei Liu; Kunpeng Zhang 001; Goce Trajcevski; Jin Wu 002 (IEEE Access, 2019)

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

A Two-Phase Approach for Abstractive Podcast Summarization. - Chujie Zheng; Harry Jiannan Wang; Kunpeng Zhang 001; Ling Fan (TREC, 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)

A Baseline Analysis for Podcast Abstractive Summarization. - Chujie Zheng; Harry Jiannan Wang; Kunpeng Zhang 001; Ling Fan (CoRR, 2020)

Topic-Aware Abstractive Text Summarization. - Chujie Zheng; Kunpeng Zhang 001; Harry Jiannan Wang; Ling Fan (CoRR, 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)

Learning to Correlate Accounts Across Online Social Networks: An Embedding-Based Approach. - Fan Zhou 002; Kunpeng Zhang 001; Shuying Xie; Xucheng Luo (INFORMS J. Comput., 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)

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

Semi-supervised Trajectory Understanding with POI Attention for End-to-End Trip Recommendation. - Fan Zhou 002; Hantao Wu; Goce Trajcevski; Ashfaq Khokhar 001; Kunpeng Zhang 001 (ACM Trans. Spatial Algorithms Syst., 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)

Land Deformation Prediction via Slope-Aware Graph Neural Networks. - Fan Zhou 002; Rongfan Li; Goce Trajcevski; Kunpeng Zhang 001 (AAAI, 2021)

Enhanced Seq2Seq Autoencoder via Contrastive Learning for Abstractive Text Summarization. - Chujie Zheng; Kunpeng Zhang 001; Harry Jiannan Wang; Ling Fan; Zhe Wang (IEEE BigData, 2021)

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)

Self-supervised Representation Learning for Trip Recommendation. - Qiang Gao 003; Wei Wang 336; Kunpeng Zhang 001; Xin Yang 012; Congcong Miao (CoRR, 2021)

Improving human mobility identification with trajectory augmentation. - Fan Zhou 002; Ruiyang Yin; Goce Trajcevski; Kunpeng Zhang 001; Jin Wu 002; Ashfaq Khokhar 001 (GeoInformatica, 2021)

Unifying Online and Offline Preference for Social Link Prediction. - Fan Zhou 002; Kunpeng Zhang 001; Bangying Wu; Yi Yang 042; Harry Jiannan Wang (INFORMS J. Comput., 2021)

Measuring Brand Favorability Using Large-Scale Social Media Data. - Kunpeng Zhang 001; Wendy W. Moe (Inf. Syst. Res., 2021)

Toward Discriminating and Synthesizing Motion Traces Using Deep Probabilistic Generative Models. - Fan Zhou 002; Xin Liu; Kunpeng Zhang 001; Goce Trajcevski (IEEE Trans. Neural Networks Learn. Syst., 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)

Large-Scale IP Usage Identification via Deep Ensemble Learning (Student Abstract). - Zhiyuan Wang 006; Fan Zhou 002; Kunpeng Zhang 001; Yong Wang 046 (AAAI, 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)

Incorporating Interactive Facts for Stock Selection via Neural Recursive ODEs. - Qiang Gao 003; Xinzhu Zhou; Kunpeng Zhang 001; Li Huang 002; Siyuan Liu 001; Fan Zhou 002 (CoRR, 2022)

A Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances. - Fan Zhou 002; Xovee Xu; Goce Trajcevski; Kunpeng Zhang 001 (ACM Comput. Surv., 2022)

Analyzing Firm Reports for Volatility Prediction: A Knowledge-Driven Text-Embedding Approach. - Yi Yang 042; Kunpeng Zhang 001; Yangyang Fan (INFORMS J. Comput., 2022)

Risk Disclosure in Crowdfunding. - Keongtae Kim; Jooyoung Park 005; Yang Pan; Kunpeng Zhang 001; Xiaoquan (Michael) Zhang (Inf. Syst. Res., 2022)

Self-supervised representation learning for trip recommendation. - Qiang Gao 003; Wei Wang 336; Kunpeng Zhang 001; Xin Yang 012; Congcong Miao; Tianrui Li 001 (Knowl. Based Syst., 2022)

Mobility Prediction via Sequential Trajectory Disentanglement (Student Abstract). - Jinyu Hong; Fan Zhou 002; Qiang Gao 003; Ping Kuang; Kunpeng Zhang 001 (AAAI, 2023)

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

Evaluating Reading Comprehension Exercises Generated by LLMs: A Showcase of ChatGPT in Education Applications. - Changrong Xiao; Sean Xin Xu; Kunpeng Zhang 001; Yufang Wang; Lei Xia (BEA@ACL, 2023)

Towards an Automatic Prompt Optimization Framework for AI Image Generation. - Ling Fan; Harry Jiannan Wang; Kunpeng Zhang 001; Zilong Pei; Anjun Li (HCI (47), 2023)

IoT and Wearable Devices-Enhanced Information Provision of AR Glasses: A Multi-Modal Analysis in Aviation Industry. - Xuewen Han; Ting Li 022; Sean Xin Xu; Zherui Yang; Zhitao Yin; Kunpeng Zhang 001 (ICIS, 2023)

Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models. - Chunjing Xiao; Zehua Gou; Wenxin Tai; Kunpeng Zhang 001; Fan Zhou 002 (KDD, 2023)

Multimodal Data Augmentation for Image Captioning using Diffusion Models. - Changrong Xiao; Sean Xin Xu; Kunpeng Zhang 001 (LGM3A@MM, 2023)

sDTM: A Supervised Bayesian Deep Topic Model for Text Analytics. - Yi Yang 042; Kunpeng Zhang 001; Yangyang Fan (Inf. Syst. Res., 2023)

CasFlow: Exploring Hierarchical Structures and Propagation Uncertainty for Cascade Prediction. - Xovee Xu; Fan Zhou 002; Kunpeng Zhang 001; Siyuan Liu 001; Goce Trajcevski (IEEE Trans. Knowl. Data Eng., 2023)

Adversarial Human Trajectory Learning for Trip Recommendation. - Qiang Gao 003; Fan Zhou 002; Kunpeng Zhang 001; Fengli Zhang; Goce Trajcevski (IEEE Trans. Neural Networks Learn. Syst., 2023)

CCGL: Contrastive Cascade Graph Learning. - Xovee Xu; Fan Zhou 002; Kunpeng Zhang 001; Siyuan Liu 001 (IEEE Trans. Knowl. Data Eng., 2023)

Counterfactual Graph Learning for Anomaly Detection on Attributed Networks. - Chunjing Xiao; Xovee Xu; Yue Lei; Kunpeng Zhang 001; Siyuan Liu 001; Fan Zhou 002 (IEEE Trans. Knowl. Data Eng., 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)

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

Enhancing Dependency Dynamics in Traffic Flow Forecasting via Graph Risk Bootstrap. - Qiang Gao 003; Zizheng Wang; Li Huang 002; Goce Trajcevski; Kunpeng Zhang 001; Xueqin Chen 002 (SIGSPATIAL/GIS, 2024)

Enhancing Investment Analysis: Optimizing AI-Agent Collaboration in Financial Research. - Xuewen Han; Neng Wang; Shangkun Che; Hongyang Yang; Kunpeng Zhang 001; Sean Xin Xu (ICAIF, 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)

From Automation to Augmentation: Large Language Models Elevating Essay Scoring Landscape. - Changrong Xiao; Wenxing Ma; Sean Xin Xu; Kunpeng Zhang 001; Yufang Wang; Qi Fu (CoRR, 2024)

Relational Fusion-based Stock Selection with Neural Recursive Ordinary Differential Equation Networks. - Qiang Gao 003; Xinzhu Zhou; Li Huang 002; Kunpeng Zhang 001; Siyuan Liu 001; Fan Zhou 002 (Inf. Fusion, 2024)

TM-OKC: An Unsupervised Topic Model for Text in Online Knowledge Communities. - Dongcheng Zhang 001; Kunpeng Zhang 001; Yi Yang 042; David A. Schweidel (MIS Q., 2024)

Inferring Real Mobility in Presence of Fake Check-ins Data. - Qiang Gao 003; Hongzhu Fu; Kunpeng Zhang 001; Goce Trajcevski; Xu Teng; Fan Zhou 002 (ACM Trans. Intell. Syst. Technol., 2024)

Score-based Graph Learning for Urban Flow Prediction. - Pengyu Wang; Xucheng Luo; Wenxin Tai; Kunpeng Zhang 001; Goce Trajcevski; Fan Zhou 002 (ACM Trans. Intell. Syst. Technol., 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)

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

Progressive Dependency Representation Learning for Stock Ranking in Uncertain Risk Contrasting. - Li Huang 002; Yanzhe Xie; Qiang Gao 003; Kunpeng Zhang 001; Guisong Liu; Xueqin Chen 002 (KDD (1), 2025)

Human-AI Collaborative Essay Scoring: A Dual-Process Framework with LLMs. - Changrong Xiao; Wenxing Ma; Qingping Song; Sean Xin Xu; Kunpeng Zhang 001; Yufang Wang; Qi Fu (LAK, 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)

Time to Stop? An Empirical Investigation on the Consequences of Canceling Monetary Incentives on a Digital Platform. - Dongcheng Zhang 001; Hanchen Jiang; Maoshan Qiang; Kunpeng Zhang 001; Liangfei Qiu (Inf. Syst. Res., 2025)

A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability. - Chengtai Cao; Fan Zhou 002; Yurou Dai; Jianping Wang 001; Kunpeng Zhang 001 (ACM Comput. Surv., 2025)

Relational Stock Selection via Probabilistic State Space Learning. - Qiang Gao 003; Zhengxiang Liu; Li Huang 002; Kunpeng Zhang 001; Jun Wang 089; Guisong Liu (IEEE Trans. Knowl. Data Eng., 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)

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)