| 2026 | AAAI | Look Closer! An Adversarial Parametric Editing Framework for Hallucination Mitigation in VLMs. | Jiayu Hu, Beibei Li, Jiangwei Xia, Yanjun Qin, Bing Ji, Zhongshi He |
| 2026 | WWW | Beyond Class Boundaries: Federated Visual Primitive Sharing with Text-Guided Adaptation. | Yongqiang Huang, Yingyu Chen, Tao Wang, Zexin Lu, Zerui Shao, Beibei Li, Yi Zhang |
| 2025 | AAAI | Grimm: A Plug-and-Play Perturbation Rectifier for Graph Neural Networks Defending Against Poisoning Attacks. | Ao Liu, Wenshan Li, Beibei Li, Wengang Ma, Tao Li, Pan Zhou |
| 2025 | AAAI | Multi-Pair Temporal Sentence Grounding via Multi-Thread Knowledge Transfer Network. | Xiang Fang, Wanlong Fang, Changshuo Wang, Daizong Liu, Keke Tang, Jianfeng Dong, Pan Zhou, Beibei Li |
| 2025 | AAAI | Graph Agent Network: Empowering Nodes with Inference Capabilities for Adversarial Resilience. | Ao Liu, Wenshan Li, Tao Li, Beibei Li, Guangquan Xu, Pan Zhou, Wengang Ma, Hanyuan Huang |
| 2025 | DASFAA | Semantic Gaussian Mixture Variational Autoencoder for Sequential Recommendation. | Beibei Li, Tao Xiang, Beihong Jin, Yiyuan Zheng, Rui Zhao |
| 2025 | DASFAA | Tuning Vision-Language Models with Candidate Labels by Prompt Alignment. | Zhifang Zhang, Yuwei Niu, Xin Liu, Beibei Li |
| 2025 | INFOCOM | FedUFD: Personalized Edge Computing Using Federated Uncertainty-Driven Feature Distillation. | Zerui Shao, Beibei Li, Zhibo Wang, Yanbing Yang, Peiran Wang, Jun Luo |
| 2025 | ICSE | Enhancing the Open Network: Definition and Automated Detection of Smart Contract Defects. | Hao Song, Teng Li, Jiachi Chen, Ting Chen, Beibei Li, Zhangyan Lin, Yi Lu, Pan Li, Xihan Zhou |
| 2024 | AAAI | Towards Inductive Robustness: Distilling and Fostering Wave-Induced Resonance in Transductive GCNs against Graph Adversarial Attacks. | Ao Liu, Wenshan Li, Tao Li, Beibei Li, Hanyuan Huang, Pan Zhou |
| 2024 | DASFAA | Reducing Interaction Noise for Sequential Recommendation via Robust Interests. | Yiyuan Zheng, Beihong Jin, Beibei Li, Weijiang Lai, Tao Xiang |
| 2024 | ICANN | Enhancing Sequential Recommendation via Aligning Interest Distributions. | Yiyuan Zheng, Beibei Li, Beihong Jin, Rui Zhao |
| 2024 | ICIS | From Sidekick to Spotlight: The Rise of Diverse Leads in Digital Streaming Platforms. | Naveen Basavaraj, Uttara Anantakrishnan, Beibei Li, Michael D. Smith |
| 2024 | INDIN | Research on Bearing Fault Diagnosis Based on DT-RF-NB Ensemble Model. | Xiaochen Shao, Lunxing Li, Xin Li, Beibei Li |
| 2024 | INFOCOM | A Cooperative Differential Evolution Based Intrusion Detection System for Unknown Cyberattacks. | Hanyuan Huang, Beibei Li, Tao Li |
| 2024 | TrustCom | A Multi-Blockchain Based Anonymous Cross-Domain Authentication Scheme for Industrial Internet of Things. | Chengqi Hou, Wei Yang, Yu Wang, Zhiming Zhang, Shaolong Chen, Beibei Li |
| 2024 | SDM | Denoising Long- and Short-term Interests for Sequential Recommendation. | Xinyu Zhang, Beibei Li, Beihong Jin |
| 2023 | GLOBECOM | A Lightweight Few-Shot Attack Detection Scheme for Industrial Cognitive Radio Networks. | Xinkai Wang, Beibei Li, Wanying Dai, Rongkuan Ma, Hanyuan Huang |
| 2023 | HCI | Exploring How to Improve User Experience of Enterprise Service Products through "Dual Perspective Model". | Daijun Yu, Beibei Li, Peiyi Zhao, Mingyue Hu, Ruochen Fu, Zirui Yi |
| 2023 | ICIS | Learning Personalized Privacy Preference From Public Data. | Wen Wang, Beibei Li |
| 2022 | APWEB | MARS: A Multi-task Ranking Model for Recommending Micro-videos. | Jiageng Song, Beihong Jin, Yisong Yu, Beibei Li, Xinzhou Dong, Wei Zhuo, Shuo Zhou |
| 2022 | GLOBECOM | LogTracer: Efficient Anomaly Tracing Combining System Log Detection and Provenance Graph. | Weina Niu, Zhenqi Yu, Zimu Li, Beibei Li, Runzi Zhang, Xiaosong Zhang |
| 2022 | ICIS | Real-Time Purchase Prediction Using Retail Video Analytics. | Anindya Ghose, Beibei Li, Rubing Li, Kaiquan Xu |
| 2022 | ICIS | Credit Risk Modeling without Sensitive Features: An Adversarial Deep Learning Model for Fairness and Profit. | Xiyang Hu, Yan Huang, Beibei Li, Tian Lu |
| 2022 | IJCAI | A Murder and Protests, the Capitol Riot, and the Chauvin Trial: Estimating Disparate News Media Stance. | Sujan Dutta, Beibei Li, Daniel S. Nagin, Ashiqur R. KhudaBukhsh |
| 2022 | INFOCOM | Incentive and Knowledge Distillation Based Federated Learning for Cross-Silo Applications. | Beibei Li, Yaxin Shi, Yuqing Guo, Qinglei Kong, Yukun Jiang |
| 2022 | PST | User Behavior Simulation in ICS Cyber Ranges. | Chuhan Liu, Wei Yan, Fengkai Xu, Wenlong Yang, Beibei Li |
| 2022 | SIGIR | Improving Micro-video Recommendation via Contrastive Multiple Interests. | Beibei Li, Beihong Jin, Jiageng Song, Yisong Yu, Yiyuan Zheng, Wei Zhou |
| 2022 | TrustCom | IDROP: Intelligently detecting Return-Oriented Programming using real-time execution flow and LSTM. | Jie Li, Weina Niu, Ran Yan, Zhiqin Duan, Beibei Li, Xiaosong Zhang |
| 2022 | UIC | Denoising Sequence Embeddings via Contrastive Learning for Micro-video Recommendation. | Rui Zhao, Beihong Jin, Yisong Yu, Beibei Li |
| 2021 | APWEB | A Behavior-Aware Graph Convolution Network Model for Video Recommendation. | Wei Zhuo, Kunchi Liu, Taofeng Xue, Beihong Jin, Beibei Li, Xinzhou Dong, He Chen, Wenhai Pan, Xuejian Zhang, Shuo Zhou |
| 2021 | DASFAA | Sirius: Sequential Recommendation with Feature Augmented Graph Neural Networks. | Xinzhou Dong, Beihong Jin, Wei Zhuo, Beibei Li, Taofeng Xue |
| 2021 | GLOBECOM | FedVANET: Efficient Federated Learning with Non-IID Data for Vehicular Ad Hoc Networks. | Beibei Li, Yukun Jiang, Wenbin Sun, Weina Niu, Peiran Wang |
| 2021 | GLOBECOM | Honeypot-Enabled Optimal Defense Strategy Selection for Smart Grids. | Beibei Li, Yaxin Shi, Qinglei Kong, Chao Zhai, Yuankai Ouyang |
| 2021 | ICIS | Resilience of the U.S. Gig Economy during the COVID-19 Pandemic: Insights from Location Big Data. | Naveen Basavaraj, Natasha Zhang Foutz, Beibei Li |
| 2021 | ICIS | Uncovering the Source of Evaluation Bias in Micro-Lending. | Xiyang Hu, Yan Huang, Beibei Li, Tian Lu |
| 2021 | ICIS | Empower Audience Creativity Using Multi-Modal Video Analytics: Evidence from TED Talks. | Wen Wang, Beibei Li |
| 2021 | ICIS | Nudge to Refill? Modeling Consumer Health Risk with Graph Convolutional Networks for Online Pharmaceutical Targeting. | Wen Wang, Xueming Luo, Beibei Li, Haizhong Wang |
| 2021 | ICONIP | List Recommendation via Co-attentive User Preference Fine-Tuning. | Beibei Li, Beihong Jin, Xinzhou Dong, Wei Zhuo |
| 2021 | ICSOC | Locating False Data Injection Attacks on Smart Grids Using D-FACTS Devices. | Beibei Li, Qingyun Du, Jiarui Song, Aohan Li, Xiaoxia Ma |
| 2021 | ISCC | FLPhish: Reputation-based Phishing Byzantine Defense in Ensemble Federated Learning. | Beibei Li, Peiran Wang, Hanyuan Huang, Shang Ma, Yukun Jiang |
| 2021 | PAKDD | Improving Sequential Recommendation with Attribute-Augmented Graph Neural Networks. | Xinzhou Dong, Beihong Jin, Wei Zhuo, Beibei Li, Taofeng Xue |
| 2021 | WISE | MULTIPLE: Multi-level User Preference Learning for List Recommendation. | Beibei Li, Beihong Jin, Xinzhou Dong, Wei Zhuo |
| 2020 | ICIS | Trading Privacy for Social Good: Did America Unite During COVID-19? | Anindya Ghose, Beibei Li, Meghanath M. Y., Chenshuo Sun, Natasha Zhang Foutz, Joshua Anton |
| 2020 | ICIS | AI Agents for Sequential Promotions: Combining Deep Reinforcement Learning and Dynamic Field Experimentation. | Wen Wang, Beibei Li, Xueming Luo, Xiaoyi Wang |
| 2020 | ICIS | Personalizing Debt Collections: Combining Reinforcement Learning and Field Experiment. | Tracy Yang, Tian Lu, Beibei Li, Xianghua Lu |
| 2020 | IJCNN | Sentiment-Driven Price Prediction of the Bitcoin based on Statistical and Deep Learning Approaches. | Giulia Serafini, Ping Yi, Qingquan Zhang, Marco Brambilla, Jiayue Wang, Yiwei Hu, Beibei Li |
| 2020 | IGARSS | High-Order Triplet CRF-Pcanet for Unsupervised Segmentation of SAR Image. | Peng Zhang, Yinyin Jiang, Beibei Li, Ming Li, Mohamed El Yazid Boudaren, Wanying Song, Yan Wu |
| 2020 | LCN | ReAL: A New ResNet-ALSTM Based Intrusion Detection System for the Internet of Energy. | Jiarui Song, Beibei Li, Yuhao Wu, Yaxin Shi, Aohan Li |
| 2019 | CIKM | A Spatio-temporal Recommender System for On-demand Cinemas. | Taofeng Xue, Beihong Jin, Beibei Li, Weiqing Wang, Qi Zhang, Sihua Tian |
| 2019 | DASFAA | Spatial-Temporal Recommendation for On-demand Cinemas. | Taofeng Xue, Beihong Jin, Beibei Li, Kunchi Liu, Qi Zhang, Sihua Tian |
| 2019 | ICIS | The Value of Alternative Data in Credit Risk Prediction: Evidence from a Large Field Experiment. | Tian Lu, Yingjie Zhang, Beibei Li |
| 2019 | ICIS | Geo-Targeting, Privacy, and the Rise of Consumer Location Trajectories. | Meghanath M. Y., Beibei Li, Ying Natasha Zhang Foutz |
| 2018 | GLOBECOM | PAMA: A Proactive Approach to Mitigate False Data Injection Attacks in Smart Grids. | Beibei Li, Rongxing Lu, Gaoxi Xiao, Zhou Su, Ali A. Ghorbani |
| 2018 | ICIS | To Disguise or To Disclose? Effect of Mimicking News Articles on Sponsored Content Engagement. | Quan Wang, Beibei Li |
| 2018 | ICIS | An Empirical Investigation of Sales Cheating Effect in E-commerce. | Le Wang, Jiahui Mo, Beibei Li |
| 2017 | GLOBECOM | HMM-Based Fast Detection of False Data Injections in Advanced Metering Infrastructure. | Beibei Li, Rongxing Lu, Gaoxi Xiao |
| 2017 | KDD | A Quasi-experimental Estimate of the Impact of P2P Transportation Platforms on Urban Consumer Patterns. | Zhe Zhang, Beibei Li |
| 2016 | ICIS | The Impact of Mobile Adoption on Customer Omni-Channel Banking Behavior. | Jun Liu, Vibhanshu Abhishek, Beibei Li |
| 2016 | ICIS | Using TB-Sized Data to Understand Multi-Device Advertising. | Quan Wang, Beibei Li, Pengyuan Wang, Jimmy Yang |
| 2016 | ICIS | Modeling User Engagement in Mobile Content Consumption with Tapstream Data. | Yingjie Zhang, Beibei Li, Xueming Luo, Xiaoyi Wang |
| 2016 | WWW | Understanding User Economic Behavior in the City Using Large-scale Geotagged and Crowdsourced Data. | Yingjie Zhang, Beibei Li, Jason I. Hong |
| 2015 | ICIS | A Tangled Web: Evaluating the Impact of Displaying Fraudulent Reviews. | Uttara Ananthakrishnan, Beibei Li, Michael D. Smith |
| 2015 | ICIS | When the Bank Comes to You: Branch Network and Customer Multi-Channel Banking Behavior. | Dan Geng, Vibhanshu Abhishek, Beibei Li |
| 2015 | ICIS | Digitizing Offline Shopping Behavior Towards Mobile Marketing. | Anindya Ghose, Beibei Li, Siyuan Liu |
| 2015 | ICIS | Learning from the Offline Trace: A Case Study of the Taxi Industry. | Yingjie Zhang, Beibei Li, Ramayya Krishnan, Siyuan Liu |
| 2014 | ICIS | Perils of Uncertainty? The Impact of Contextual Ambiguity on Search Advertising Keyword Performance. | Jing Gong, Beibei Li, Vibhanshu Abhishek |
| 2014 | ICIS | Zoom in iOS Clones: Examining the Antecedents and Consequences of Mobile App Copycats. | Beibei Li, Param Singh, Quan Wang |
| 2012 | ICIS | Search Less, Find More? Examining Limited Consumer Search with Social Media and Product Search Engines. | Anindya Ghose, Panos Ipeirotis, Beibei Li |
| 2011 | WWW | Towards a theory model for product search. | Beibei Li, Anindya Ghose, Panagiotis G. Ipeirotis |
| 2011 | WWW | A demo search engine for products. | Beibei Li, Anindya Ghose, Panagiotis G. Ipeirotis |
| 2010 | ICDE | Improving product search with economic theory. | Beibei Li, Panagiotis G. Ipeirotis, Anindya Ghose |
| 2010 | ICIS | Designing Ranking Systems for Hotels on Travel Search Engines to Enhance User Experience. | Anindya Ghose, Panagiotis G. Ipeirotis, Beibei Li |
| 2004 | CIS | Application of Web Service in Web Mining. | Beibei Li, Jiajin Le |