Kunpeng (KZ) Zhang

Preprints

• Enhancing Clinical Trial Patient Matching through Knowledge Augmentation with Multi-Agents
  Hanwen Shi, Jin Zhang, and Kunpeng Zhang
  

2025

• [ICASSP'2025] Commonality Augmented Disentanglement for Multimodal Crowdfunding Success Prediction
  Xvoee Xu, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, and Jingkuan Song
  ICASSP25
  

• [LAK'2025] Human-AI Collaborative Essay Scoring: A Dual-Process Framework with LLMs
  Changrong Xiao, Wenxing Ma, Qingping Song, Sean Xin Xu, Kunpeng Zhang, Yufang Wang, and Qi Fu
  LAK25
  

• [KDD'2025] Progressive Dependency Representation Learning for Stock Ranking in Uncertain Risk Contrasting
  Yanzhen Xie, Qiang Gao, Kunpeng Zhang, Guisong Liu, Xueqin Chen
  SIGKDD, Research Track
  Acceptance rate: 19%
  

2024

• [ICAIF'2024] Enhancing Investment Analysis: Optimizing AI-Agent Collaboration in Financial Research
  Xuewen Han, Neng Wang, Shangkun Che, Hongyang Yang, Kunpeng Zhang, and Sean Xin Xu
  ACM ICAIF
  Research Paper
  

• [SIGSPATIAL'2024] Enhancing Dependency Dynamics in Traffic Flow Forecasting via Graph Risk Bootstrap
  Qiang Gao, Zizheng Wang, Li Huang, Goce Trajcevski, Kunpeng Zhang, and Xueqin Chen
  SIGSPATIAL
  Research Paper
  Acceptance rate: 38/185 = 20.5%
  

• [SCECR'2024/CIST'2024] A Theory-driven Deep Learning-Based Consumer Choice Model
  Dongcheng Zhang, Kunpeng Zhang, and David Schweidel
  SCECR
  

• [SIGIR'2024] Predicting Micro-video Popularity via Multi-modal Retrieval Augmentation
  Zhangtao Cheng, Ting Zhong, Yifan Zhang, Kunpeng Zhang, and Fan Zhou
  ACM SIGIR
  Short Paper
  

• [ICASSP'2024] A Sec2Sec Co-Attention Transformer for Video-based Apparent Affective Prediction
  Mingwei Sun and Kunpeng Zhang
  IEEE ICASSP
  Regular Paper
  

• [AAAI'2024] Mobility Prediction via Sequential Trajectory Disentanglement
  Jinyu Hong, Fan Zhou, Qiang Gao, Ping Huang, and Kunpeng Zhang
  AAAI
  Student Abstract
  

2023

• [IEEE BigData'2023] Multimodal Co-attention Transformer for Video-Based Personality Understanding
  Mingwei Sun and Kunpeng Zhang
  IEEE BigData
  Regular Paper
  Acceptance rate: 92/526 = 17.5%
  

• [CIST'2023] TM-OKC: An Unsupervised Topic Model for Text in Online Knowledge Communities
  Dongcheng Zhang, Kunpeng Zhang, Yi Yang, and David Schweidel
  CIST

• [CIST'2023] A Transformer-based Joint Representation Learning for Customer Purchase Intention Prediction
  Xuewen Han, Qingping Song, Sean Xin Xu, and Kunpeng Zhang
  CIST

• [ICIS'2023] IoT and Wearable Devices-Enhanced Information Provision of AR Glasses: A Multi-Modal Analysis in Aviation Industry
  Xuewen Han, Zherui Yang, Ting Li, Sean Xin Xu, Zhitao Yin, and Kunpeng Zhang
  ICIS

• [ACL-SIGEDU'2023] Evaluating Reading Comprehension Exercises Generated by LLMs: A Showcase of ChatGPT in Education Application
  Changrong Xiao, Sean Xin Xu, Kunpeng Zhang, Yufang Wang, and Lei Xia
  ACL-SIGEDU

• [ACM MM-LGM3A workshop'2023] Multimodal Data Augmentation for Image Captioning using Diffusion Models
  Changrong Xiao, Sean Xin Xu, and Kunpeng Zhang
  

• [KDD'2023] Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models
  Weixin Tai, Chunjing Xiao, Kunpeng Zhang, and Fan Zhou
  KDD Research Track
  Acceptance rate: 313/1416 = 22%
  

• [HCII'2023] Towards an Automatic Prompt Optimization Framework for AI Image Generation
  Ling Fan, Harry Wang, Kunpeng Zhang, Zilong Pei, and Anjun Li
  HCII-23 (Poster)

• [AAAI'2023] Learning Dynamic Temporal Relations with Continuous Graph for Multivariate Time Series Forecasting
  Zhiyuan Wang, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, and Ting Zhong
  AAAI-23

• [AAAI'2023] DyCVAE: Learning Dynamic Causal Factors for Non-stationary Series Domain Generalization
  Weifeng Zhang, Zhiyuan Wang, Kunpeng Zhang, Ting Zhong, Fan Zhou
  AAAI-23

• [AAAI'2023] Mobility Prediction via Sequential Trajectory Disentanglement
  Jinyu Hong, Fan Zhou, Qiang Gao, Ping Kuang and Kunpeng Zhang
  AAAI-23

• [AAAI'2023] Less is More: Volatility Forecasting with Contrastive Representation Learning
  Yanlong Huang, Wenxin Tai, Ting Zhong and Kunpeng Zhang
  AAAI-23

2022

• [WITS'2022] Sec2Sec Co-Attention Transformer for Video Emotion Prediction
  Mingwei Sun and Kunpeng Zhang
  WITS 2022
  Best Student Paper Runner Up Award
  

• [INFOCOM'2022] CausalRD: A Causal View of Rumor Detection via Eliminating Popularity and Conformity Biases
  Weifeng Zhang, Ting Zhong, Ce Li, Kunpeng Zhang, and Fan Zhou
  INFOCOM 2022
  Acceptance rate: 225/1129 = 19.9%
  

• [AAAI'2022] Dynamic Manifold Learning for Land Deformation Forecasting
  Fan Zhou, Rongfan Li, Qiang Gao, Goce Trajcevski, Kunpeng Zhang, and Ting Zhong
  AAAI 2022
  Acceptance rate: 1349/9251 = 15%
  

• [AAAI'2022] PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model
  Zhiyuan Wang, Xovee Xu, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, and Fan Zhou
  AAAI 2022
  Acceptance rate: 1349/9251 = 15%
  

• [AAAI'2022] Large-scale IP Usage Identification via Deep Ensemble Learning
  Fan Zhou, Zhiyuan Wang, Kunpeng Zhang, and Yong Wang
  AAAI 2022
  Student program
  

2021

• Graph Neural Network Based VC Investment Success Prediction
  Shiwei Lyu, Shuai Ling, Kaihao Guo, Haipeng Zhang, Kunpeng Zhang, Suting Hong, Qing Ke, Jinjie Gu
  arXiv:2105.11537
  

• Topic-Guided Abstractive Text Summarization: a Joint Learning Approach
  Chujie Zheng, Kunpeng Zhang, Harry Jiannan Wang, Ling Fan, Zhe Wang
  arXiv:2010.10323
  

• Using Co-Location Networks to Examine Information Flow and Consumer Mobility
  David Schweidel, Hanyu Zhang, Kunpeng Zhang
  The 20th Workshop on e-Business (WeB) 2021
  Best Paper Runner Up Award
  

• [IEEE BigData'2021] Enhanced Seq2Seq Autoencoder via Contrastive Learning for Abstractive Text Summarization
  Rachel Zheng, Kunpeng Zhang, Harry Wang, Ling Fan, and Zhe Wang
  IEEE Big Data 2021
  Short research paper
  Acceptance rate: 19.7%
  

• [CIKM'2021] Vector-Quantized Autoencoder With Copula for Collaborative Filtering
  Guanyu Wang, Ting Zhong, Xovee Xu, Kunpeng Zhang, Fan Zhou and Yong Wang
  CIKM 2021
  Short research paper
  Accepatance rate: 177/626 = 28.0%
  

• [DLP-KDD'2021] Variational Autoencoder with Copula for Collaborative Filtering
  Ting Zhong, Guanyu Wang, Joojo Walker Kunpeng Zhang, Fan Zhou
  3rd Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD
  

• [AAAI'2021] Land Deformation Prediction via Slope-Aware Graph Neural Networks
  Rongfan Li, Fan Zhou, Goce Trajcevski, Kunpeng Zhang
  AAAI 2021
  Accepatance rate: 1692/7911 (total submission:9034)=21.0%
  

2020

• [TREC'2020] A Two-Phase Approach for Abstractive Podcast Summarization
  Chujie Zheng, Kunpeng Zhang, Harry Wang, Lin Fan
  TREC 2020 Podcasts Track
  

• [PodRecs'2020] A Baseline Analysis for Podcast Abstractive Summarization
  Chujie Zheng, Harry Wang, Kunpeng Zhang, Lin Fan
  Workshop on Podcast Recommendations, ACM RecSys, 2020
  

• [KDD'2020] Forecasting the Evolution of Hydropower Generation
  Liang Li, Fan Zhou, Kunpeng Zhang, Goce Trajcevski, Fuming Yao, Ying Huang, Ting Zhong, Jiahao Wang, Qiao Liu
  Applied Data Science Track
  Accepatance rate: 121/756=16.0%
  

• [IJCAI'2020] Enhancing Urban Flow Maps via Neural ODEs
  Fan Zhou, Liang Li, Ting Zhong, Goce Trajcevski, Kunpeng Zhang, and Jiahao Wang
  Full research paper
  Accepatance rate: 592/4717=12.6%
  

• [ACL'2020] Interpreting Twitter User Geolocation
  Tianliang Wang, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, Yi Yang
  Short paper
  

• [INFOCOM'2020] Variational Information Diffusion for Probabilistic Cascades Prediction
  Fan Zhou, Zeng Xu, Kunpeng Zhang, Goce Trajcevski, Ting Zhong
  Full research paper
  Accepatance rate: 268/1354=19.8%
  

• [INFOCOM'2020] Fast Network Alignment via Graph Meta-Learning
  Fan Zhou, Chengtai Cao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Ji Geng
  Full research paper
  Accepatance rate: 268/1354=19.8%
  

2019

• [ICIS'2019] Your Preference or Mine? A Randomized Field Experiment on Recommender Systems in Two-sided Matching Markets
  Lanfei Shi and Kunpeng Zhang
  International Conference on Information Systems
  Full research paper
  Accepatance rate: 28%
  RUNNERS-UP for the 2020 INFORMS eBusiness Section Best Paper Award

• [ICIS'2019] Deep Learning of Big Data and Field Experiment: Analytics for Customer Selection and Campaign Targeting
  Kunpeng Zhang Xueming Luo
  International Conference on Information Systems
  Full research paper
  Accepatance rate: 28%
  

• [ICIS'2019, CIST'2019] Retail Firms’ Use of Social Media – Insights from Analysis of Large-Scale Twitter Data
  Mikhail Lysyakov, Siva Viswanathan, and Kunpeng Zhang
  International Conference on Information Systems
  Full research paper
  Accepatance rate: 28%
  

• [SIGSPATIAL'2019] DeepTrip: Adversarially Understanding Human Mobility for Trip Recommendation
  Qiang Gao, Goce Trajcevski, Fan Zhou, Kunpeng Zhang, Ting Zhong and Fengli Zhang
  The ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems 2019 (ACM SIGSPATIAL 2019 poster paper)
  

• [CIKM'2019, DS'2019] Meta-GNN: On Few-shot Node Classification in Graph Meta-learning
  Fan Zhou, Chengtai Cao, Kunpeng Zhang, Goce Trajcevski, Ting Zhong and Ji Geng
  The 28th ACM International Conference on Information and Knowledge Management
  (CIKM2019 short)
  Accepatance rate: 100/470=21.3%
  

• [SIGIR'2019] Information Cascades Modeling via Deep Multi-Task Learning
  Xueqin Chen, Kunpeng Zhang, Fan Zhou, Goce Trajcevski, Ting Zhong and Fengli Zhang
  The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2019 short)
  Accepatance rate: 108/443=24.4%
  

• [WWW'2019] Variational Session-based Recommendation Using Normalizing Flows
  Fan Zhou, Zijing Wen, Kunpeng Zhang, Goce Trajcevski and Ting Zhong
  The Web Conference 2019 (WWW2019 short)
  Accepatance rate: 72/361=20%
  

• [WWW'2019] Adversarial Point-of-Interest Recommendation
  Fan Zhou, Ruiyang Yin, Kunpeng Zhang, Goce Trajcevski, Ting Zhong and Jin Wu
  The Web Conference 2019 (WWW2019 short)
  Accepatance rate: 72/361=20%
  

• [WWW'2019] Predicting Human Mobility via Variational Attention
  Qiang Gao, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, Ting Zhong and Fengli Zhang
  The Web Conference 2019 (WWW2019 short)
  Accepatance rate: 72/361=20%
  

• [WWW'2019] Context-aware Variational Trajectory Encoding and Human Mobility Inference
  Fan Zhou, Xiauli Yue, Goce Trajcevski, Ting Zhong and Kunpeng Zhang
  The Web Conference 2019 (WWW2019 short)
  Accepatance rate: 72/361=20%
  

• [INFOCOM'2019] Disentangled Network Alignment with Matching Explainability
  Fan Zhou, Zijing Wen, Goce Trajcevski, Kunpeng Zhang, Ting Zhong and Fang Liu
  IEEE International Conference on Computer Communications (INFOCOM2019)
  Full research paper, Acceptance rate: 288/1464=19.7%
  

• [ICDE'2019] Information Diffusion Prediction via Recurrent Cascades Convolution
  Xueqin Chen, Fan Zhou, Kunpeng Zhang, and Goce Trajcevski
  35th IEEE International Conference on Data Engineering (ICDE2019)
  Full research paper
  
  

2018

• [WeB'2018] Can Title Images Predict the Emotions and the Performance of Crowdfunding Projects?
  Jian-Ren Hou, Jie Zhang, Kunpeng Zhang
  The 17th Workshop on e-Business (WeB 2018)
  Best Workshop Paper Runner Up
  

• [CIKM'2018] vec2Link: Unifying Heterogeneous Data for Social Link Prediction
  Fan Zhou, Bangying Wu, Yi Yang, Goce Trajcevski, Kunpeng Zhang and Ting Zhong
  The 27th ACM International Conference on Information and Knowledge Management (CIKM 2018)
  Short paper, Acceptance rate: 97/414=23.4%
  

• [SIGSPATIAL'2018] Trajectory-based Social Circle Inference
  Qiang Gao, Goce Trajcevski, Fan Zhou, Kunpeng Zhang, Ting Zhong and Fengli Zhang
  The ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems 2018 (ACM SIGSPATIAL 2018)
  Full research paper, Acceptance rate: 30/150=20%
  

• [IJCAI'2018] Trajectory-User Linking via Variational AutoEncoder
  Fan Zhou, Qiang Gao, Goce Trajcevski, Kunpeng Zhang
  The 27th International Joint Conference on Artificial Intelligence (IJCAI 2018)
  Acceptance rate: 710/3470=20.46%
  

• [INFOCOM'2018] DeepLink: A Deep Learning Approach for User Identity Linkage
  Fan Zhou, Lei Liu, Kunpeng Zhang, Goce Trajcevski, Wu Jin, Ting Zhou
  IEEE International Conference on Computer Communications (INFOCOM 2018)
  Acceptance rate: 309/1606=19.24%
  
  

2017

• [WITS'2017] Market Structure Discovery from Social Media Engagement: A Network Embedding Based Approach
  Yi Yang, Kunpeng Zhang
  2017 Workshop on Information Technulogies and Systems (WITS'17)
  

• [IJCAI'2017] Identifying Human Mobility via Trajectory Embeddings
  Qiang Gao, Fan Zhou, Kunpeng Zhang, Goce Trajcevski, Xuecheng Luo, Fengli Zhang
  The 26th International Joint Conference on Artificial Intelligence (IJCAI 2017)
  Acceptance rate: 660/2540=25.98%
  

• Information Disclosure and Crowdfunding: An Empirical Analysis of the Disclosure of Project Risk and Market Reaction
  Keongtae Kim, Jooyoung Park, Pan Yang, Kunpeng Zhang, Michael Zhang
  Academy of Management (AoM) 2017
  Statistical Challenges in eCommerce Research (SCECR) 2017
  Winter Conference on Business Analytics (WCBA) 2017
  INFORMS Conference on Information Systems and Technulogy (CIST) 2016
  
  

2015

• [ICIS'2015] Sentiment Analysis in Social Media Platforms: The Contribution of Social Relationships
  Noyan Ilk, Shaokun Fan, Kunpeng Zhang
  The 36^th International Conference on Information Systems (ICIS'15), Dallas, 2015
  (Research -in-progress)
  

• [ACL'2015] Reducing Infrequent-token Perlexity via Variational Corpora
  Yusheng Xie, Pranjal Daga, Yu Cheng, Kunpeng Zhang, Ankit Agrawal, Alok Choudhary
  The Conference of the Association for Computational Linguistics (ACL'15), Beijing, 2015
  
  

2014

• [ICIS'2014] Using Coauthor Networks to Extract Topics in Information Systems
  Amer Aljarallah, Kunpeng Zhang
  The 35^th International Conference on Information Systems (ICIS 2014), Auckland, 2014
  

• [RecSys'2014] Scalable Audience Targeted Models for Brand Advertising on Social Networks
  Kunpeng Zhang, Aris M. Ouksel, Shaokun Fan, Hengchang Liu
  The 8^th ACM Conference on Recommender Systems (RecSys'14), Foster City, USA. 2014
  [Short paper]
  

• [HT'2014] An Empirical Study: Properties of Implicit Brand-to-Brand Network on Social Media
  Kunpeng Zhang, Siddhartha Bhattacharyya, Sudha Ram
  The 25^th ACM Conference on Hypertext and Social Media (HT'14), Santiago, Chile. 2014
  

• [ACL-workshop'2014] Active Learning with Constrained Topic Model
  Yi Yang, Shimei Pan, Doug Downey, Kunpeng Zhang
  Workshop on Interactive Language Learning, Visualization, and Interfaces, ACL, Baltimore, USA. 2014
  

• [WI'2014] A Systematic Framework for Sentiment Identification by Modeling User Social Effects
  Kunpeng Zhang, Yi Yang, Aaron Sun, Hengchang Liu
  The IEEE/WIC/ACM International Conference on Web Intelligence (WI'14), Warsaw, Puland. 2014
  
  

2013

• [IJCAI'2013] Forecast Oriented Classification of Spatio-Temporal Extreme Events
  Zhengzhang Chen, Yusheng Xie, Yu Cheng, Kunpeng Zhang, Ankit Agrawal, Wei-keng Liao, Nagiza F. Samatova, Alok Choudhary
  The 23^rd International Joint Conference on Artificial Intelligence(IJCAI'13), Beijing, China. 2013
  

• [BigData'2013] Elver: Recommending Facebook Pages in Culd Start Situation Without Content Features
  Yusheng Xie, Zhengzhang Chen, Kunpeng Zhang, Chen Jin, Yu Cheng, Ankit Agrawal, Alok Choudhary
  IEEE International Conference on Big Data, Santa Clara, USA. 2013 (BigData'13)
  

• [ASONAM'2013] A Probabilistic Graphical Model for Brand Reputation Assessment in Social Networks
  Kunpeng Zhang, Doug Downey, Zhengzhang Chen, Yusheng Xie, Yu Cheng, Ankit Agrawal, Wei-keng Liao, Alok Choudhary
  The IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining(ASONAM'13), Nigara Falls, Canada. 2013
  

• [IJCAI'2013] Detecting and Tracking Disease Outbreaks in Real-time Through Social Media
  Yusheng Xie, Zhengzhang Chen, Kunpeng Zhang, Ankit Agrawal, Alok Choudhary
  The 23^rd International Joint Conference on Artificial Intelligence(IJCAI'13), Beijing, China. 2013
  

• [SDM'2013] Graphical Modeling of Macro Behavioral Targeting in Social Networks
  Yusheng Xie, Zhengzhang Chen, Kunpeng Zhang, Md. Mostofa Ali Patwary, Haotian Liu, Ankit Agrawal, Alok Choudhary
  The SIAM International Conference on Data Mining(SDM'13), Austin, USA. 2013
  
  

2012

• [CIKM'2012] On Active Learning in Hierarchical Classication
  Yu Cheng, Kunpeng Zhang, Yusheng Xie, Ankit Agrawal, Alok Choudhary
  The 21^st ACM Conference on Information and Knowledge Management(CIKM'12), Hawaii, USA. 2012
  

• [SOMA'2012] How Online Content is Received by Users in Social Media: A Case Study on Facebook.com Posts
  Yu Cheng, Yusheng Xie, Kunpeng Zhang, Ankit Agrawal, Alok Choudhary
  KDD Workshop on Social Meida Analytics (SOMA'12), Beijing, China. 2012
  

• [KDD'2012] VOXSUP: a social engagement framework
  Yusheng Xie, Daniel Honbo, Alok N. Choudhary, Kunpeng Zhang, Yu Cheng, Ankit Agrawal
  KDD(demo): 1556-1559. Beijing, China. 2012
  

• [SIGIR'2012] Sentiment Identification by Incorporating Syntactics, Semantics and Context Information
  Kunpeng Zhang, Yusheng Xie, Yu Cheng, Doug Downey, Ankit Agrawal, Wei-keng Liao, and Alok Choudhary
  The 35^th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'12), Portland, USA. 2012
  Short paper
  

• [SNMA'2012] User-Interest based Community Extraction in Social Networks
  Diana Palsetia, Md. Mostofa Ali Patwary, Kunpeng Zhang, Kathy Lee, Christopher Moran, Yves Xie, Daniel Honbo, Ankit Agrawal, Wei-keng Liao, Alok Choudhary
  The 6^th Workshop on Social Networking Mining and Analysis, Held in conjunction with KDD, Beijing, China. 2012
  
  

2011

• [ICDMW'2011] SES: Sentiment Elicitation System for Social Media Data
  Kunpeng Zhang, Yu Cheng, Yusheng Xie, Daniel Honbo, Wei-keng Liao, and Alok Choudhary
  The 11^th ICDM Workshops, Vancouver, Canada. 2011
  

• [ICEC'2011] Mining Millions of Reviews: A Technique to Rank Products Based on Importance of Reviews
  Kunpeng Zhang, Yu Cheng, Wei-keng Liao, and Alok Choudhary
  The 14^th International Conference on Electronic Commerce(IECE'11), Liverpoul, UK. 2011
  Honorable Mention Award
  
  

2010

• [WOSN'2010] Voice of the Customers: Text Mining Online Customer Reviews for Product Feature-based Ranking
  Kunpeng Zhang, Ramanathan Narayanan, and Alok Choudhary
  The 3^rd Workshop on Online Social Networks (WOSN'10), Boston, MA, US. 2010
  

• Relational Stock Selection via Probabilistic State Space Learning
  with Qiang Gao, Zhengxiang Liu, Li Huang, Jun Wang, and Guisong Liu
  Accepted at IEEE Transactions on Knowledge and Data Engineering (TKDE)
  

• Information Cascade Popularity Prediction via Probabilistic Diffusion
  with Zhangtao Cheng, Yang Liu, Ting Zhong, Fan Zhou, and Philip Yu
  IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
  

• A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability
  with Chengtai Cao, Fan Zhou, Yurou Dai, and Jianping Wang
  ACM Computing Surveys (CSUR), 2024
  

• Score-based Graph Learning for Urban Flow Prediction
  with Pengyu Wang, Xucheng Luo, Wenxin Tai, Goce Trajcevski, and Fan Zhou
  ACM Transactions on Intelligent Systems and Technology (TIST), 2024
  

• Inferring Real Mobility in Presence of Fake Check-ins Data
  with Qiang Gao, Fuhong Zhu, Goce Trajcevski, Xu Teng, and Fan Zhou
  ACM Transactions on Intelligent Systems and Technology (TIST), 2024
  

• Semi-Supervised Anomaly Detection via Neural Process
  with Fan Zhou, Guanyu Wang, Siyuan Liu, and Ting Zhong
  IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
  

• Counterfactual Graph Learning for Anomaly Detection on Attributed Networks
  with Chunjing Xiao, Xovee Xu, Yue Lei, Siyuan Liu, and Fan Zhou
  IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
  

• MetaGeo: A General Framework for Social User Geolocation Identification with Few-shot Learning
  with Xiuxiu Qi, Fan Zhou, Goce Trajcevski, and Ting Zhong
  IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
  

• CCGL: Contrastive Cascade Graph Learning
  with Xovee Xu, Fan Zhou, and Siyuan Liu
  IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
  

• CasFlow: Exploring Hierarchical Structures and Propagation Uncertainty for Cascade Prediction
  with Xovee Xu, Fan Zhou, Goce Trajcevski, and Siyuan Liu
  IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
  

• Adversarial Human Mobility Learning for Trip Recommendation
  with Qiang Gao, Fan Zhou, Fengli Zhang, and Goce Trajcevski
  IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
  

• Urban Flow Prediction with Spatial-Temporal Neural ODEs
  with Fan Zhou, Liang Li, and Goce Trajcevski
  Transportation Research (Part C), 2021
  

• A Survey of Information Cascade Analysis: Models, Predictions and Recent Advances
  with Fan Zhou, Xovee Xu, and Goce Trajcevski
  ACM Computing Surveys (CSUR), 2021
  

• Towards Discriminating and Synthesizing MotionTraces Using Deep Probabilistic Generative Models
  with Xin Liu, Fan Zhou, and Goce Trajcevski
  IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020 (Early Access), 1-14.
  

• Hybrid Graph Convolutional Networks with Multi-head Attention for Location Recommendation
  with Ting Zhong, Shengming Zhang, Fan Zhou, Goce Trajcevski, and Jin Wu
  World Wide Web (2020)
  

• Reinforced Spatio-Temporal Attentive Graph Neural Networks for Traffic Forecasting
  with Fan Zhou, Qing Yang, Goce Trajcevski, Ting Zhong, and Ashfaq Khokhar
  IEEE Internet of Things Journal (2020), 7(7), 6414-6428.
  

• Semi-supervised Trajectory Understanding with POI Attention for end-to-end Trip Recommendation
  with Fan Zhou, Hantao Wu, Goce Trajecvski, and Khokhar Ashfaq
  ACM Trans. on Spatial Algorithms and Systems, 2020
  

• Recommendation via Collaborative Autoregressive Flows
  with Fan Zhou, Yuhua Mo, Goce Trajcevski, Jin Wu, and Ting Zhong
  Neural Networks (2020), Volum 126, 52-64.
  

• Session-based Recommendation via Flow-based Deep Generative Networks and Bayesian Inference
  with Ting Zhong, Zijing Wen, Fan Zhou, and Goce Trajecvski
  Neurocomputing, 2020
  

• Improving Human Mobility Identification with Trajectory Augmentation
  with Fan Zhou, Ruiyang Yin, Goce Trajcevski, Jin Wu, and Ashfaq Khokhar
  GeoInformatica, August 2019
  

• A tale of two countries: International comparison of online doctor reviews between China and the United States
  with Haijing Hao, Weiguang Wang, and Gordon Gao
  International Journal of Medical Informatics, 99, 2017, pp.37-44.
  

• The Online Voice of Chinese Health Consumers: A Text Mining Approach to Online Doctor Reviews
  with Haijing Hao
  Journal of Medical Internet Research, 2016
  

• Combinatorial Screening for New Materials in Unconstrained Composition Space with Machine Learning
  with B. Meredig, A. Agrawal, S. Kirklin, J.E. Saal, J. Doak, A. Thompson, A. Choudhary, and C. Wulverton
  Phys. Rev. B. 89, 2014
  

• Incorporating Conditional Random Fields and Active Learning to Improve Sentiment Identification
  with Yusheng Xie, Yi Yang, Aaron Sun, Hengchang Liu, and Alok Choudhary
  Neural Networks, 2014
  

• MuSES: Multilingual Sentiment Elicitation System for Social Media
  with Yusheng Xie, ZhengZhang Chen, Yu Cheng, Daniel Honbo, Ankit Agrawal, and Alok Choudhary
  IEEE Intelligent Systems, 2013
  
  

• Retailer Differentiation in Social Media: An Investigation of Firm-Generated Content on Twitter
  with Mikhail Lysyakov, PK Kannan, and Siva Viswanathan
  Journal of Marketing (Accepted), 2024
  

• Better to Deliver Tomorrow Morning than Late Today? The Time-of-Day Effect in Customer Perception of Online Sellers’ Logistics Service Quality
  with Yuhang Xu, Fei Song, and Heng Chen
  Transportation Journal, 2024
  

• Time to Stop? An Empirical Investigation on the Consequences of Canceling Monetary Incentives on a Digital Platform
  with Dongcheng Zhang, Hanchen Jiang, Maoshan Qiang, and Liangfei Qiu
  Information Systems Research, 2024
  

• TM-OKC: An Unsupervised Topic Model for Text in Online Knowledge Communities
  with Dongcheng Zhang, Yi Yang, and David Schweidel
  MIS Quarterly , 2024
  Web Appendix
  

• When Connection Turns to Anger: How Self-Brand Connection and Crisis Type Moderate Language on Social Media
  with Buffy Mosley and David Schweidel
  Journal of Consumer Research (JCR), 50(5), pp.907–922, 2024
  

• A Dynamic Screening Algorithm for Hierarchical Binary Marketing Data
  with Yimei Fan, Yuan Liao and Ilya O. Ryzhov
  Annals of Applied Statistics, 17 (3) 2326 - 2344, 2023
  

• Leveraging AI for Content Generation: A Customer Equity Perspective
  with David Schweidel, Martin Reisenbichler, Thomas Reutterer
  Artificial Intelligence in Marketing (Review of Marketing Research), 2023
  

• Pictures that are Worth a Thousand Donations: How Emotions in Project Images Drive the Success of Online Charity Fundraising Campaigns? An Image Design Perspective
  with Jian-Ren Hou and Jennifer Zhang
  MIS Quarterly, 47(2), pp.535-584, 2023
  Web Appendix
  

• sDTM: A Supervised Bayesian Deep Topic Model for Text Analytics
  with Yi Yang and Yangyang Fan
  Information Systems Research, 34(1):137-156, 2022
  

• Risk Disclosure in Crowdfunding
  with Keong Tae Kim, Jooyoung Park, Yang Pan and Michael Zhang
  Information Systems Research, 33(3):1023-1041, 2022
  

• Identifying Market Structure: A Deep Network Representation Learning of Social Engagement
  with Yi Yang and P.K. Kannan
  Journal of Marketing, 86(4), 37-56, 2022
  Maryland Smith Brain Trust, AMA
  

• Measuring Brand Favorability Using Large-scale Social Media Data
  with Wendy Moe
  Information Systems Research, 32(4):1128-1139, 2021
  Featured at VentureBeat, Agility PR Solutions, 01net (Italy)
  

• Analyzing Firm Reports for Volatility Prediction: A Knowledge-Driven Machine Learning Approach
  with Yi Yang and Yangyang Fan
  INFORMS Journal on Computing, 34(1):522-540, 2021
  Featured at Smith Research
  

• Unifying Online and Offline Preference for Social Link Prediction
  with Fan Zhou, Bangying Wu, Yi Yang, and Harry Wang
  INFORMS Journal on Computing, 33(4):1400-1418, 2021
  

• Learning to Correlate Accounts across Online Social Networks: An Embedding-based Approach
  with Fan Zhou, Shuying Xie, and Xucheng Luo
  INFORMS Journal on Computing, 32(3), Pages 531-853, 2020
  

• Large Scale Network Analysis for Online Social Brand Advertising
  with Siddhartha Bhattacharyya and Sudha Ram
  MIS Quarterly, 40(4), 2016, pp.849-868.
  

• LLM: from Transformers to ChatGPT
  

  Feburary 12, 2023