Design and Implementation of MPICH2 over Optical Fiber. - Xuan Bi; Minglu Li 001 (FGCN (1), 2007)

BioTCM-SE: A Semantic Search Engine for the Information Retrieval of Modern Biology and Traditional Chinese Medicine. - Xi Chen 003; Huajun Chen; Xuan Bi; Peiqin Gu; Jiaoyan Chen 001; Zhaohui Wu 001 (Comput. Math. Methods Medicine, 2014)

Memory-Efficient Tail Calls in the JVM with Imperative Functional Objects. - Tomás Tauber; Xuan Bi; Zhiyuan Shi; Weixin Zhang; Huang Li; Zhenrui Zhang; Bruno C. d. S. Oliveira (APLAS, 2015)

Unified Syntax with Iso-types. - Yanpeng Yang; Xuan Bi; Bruno C. d. S. Oliveira (APLAS, 2016)

Evolution and Vaccination of Influenza Virus. - Ham Ching Lam; Xuan Bi; Srinand Sreevatsan; Daniel Boley (J. Comput. Biol., 2017)

Typed First-Class Traits. - Xuan Bi; Bruno C. d. S. Oliveira (ECOOP, 2018)

The Essence of Nested Composition. - Xuan Bi; Bruno C. d. S. Oliveira; Tom Schrijvers (ECOOP, 2018)

Consistent Subtyping for All. - Ningning Xie; Xuan Bi; Bruno C. d. S. Oliveira (ESOP, 2018)

Typed First-Class Traits (Artifact). - Xuan Bi; Bruno C. d. S. Oliveira (Dagstuhl Artifacts Ser., 2018)

The Essence of Nested Composition (Artifact). - Xuan Bi; Bruno C. d. S. Oliveira; Tom Schrijvers (Dagstuhl Artifacts Ser., 2018)

Distributive Disjoint Polymorphism for Compositional Programming. - Xuan Bi; Ningning Xie; Bruno C. d. S. Oliveira; Tom Schrijvers (ESOP, 2019)

Individualized Multilayer Tensor Learning with An Application in Imaging Analysis. - Xiwei Tang; Xuan Bi; Annie Qu (CoRR, 2019)

FCMLSM Segmentation of Micro-Vessels in Slight Defocused Microscopic Images. - Zhongming Luo; Yu Zhang; Zixuan Zhou; Xuan Bi; Haibin Wu; Zhentao Xin (J. Adv. Comput. Intell. Intell. Informatics, 2019)

Row and Bounded Polymorphism via Disjoint Polymorphism. - Ningning Xie; Bruno C. d. S. Oliveira; Xuan Bi; Tom Schrijvers (ECOOP, 2020)

Consistent Subtyping for All. - Ningning Xie; Xuan Bi; Bruno C. d. S. Oliveira; Tom Schrijvers (ACM Trans. Program. Lang. Syst., 2020)

Distribution-Invariant Differential Privacy. - Xuan Bi; Xiaotong Shen (CoRR, 2021)

Dynamic Tensor Recommender Systems. - Yanqing Zhang 004; Xuan Bi; Niansheng Tang; Annie Qu (J. Mach. Learn. Res., 2021)

Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness. - Xuan Bi; Gediminas Adomavicius; William Li; Annie Qu (INFORMS J. Comput., 2022)

Understanding Backdoor Attacks through the Adaptability Hypothesis. - Xun Xian; Ganghua Wang; Jayanth Srinivasa; Ashish Kundu; Xuan Bi; Mingyi Hong 001; Jie Ding 002 (ICML, 2023)

A Unified Detection Framework for Inference-Stage Backdoor Defenses. - Xun Xian; Ganghua Wang; Jayanth Srinivasa; Ashish Kundu; Xuan Bi; Mingyi Hong 001; Jie Ding 002 (NeurIPS, 2023)

Welfare and Fairness Dynamics in Federated Learning: A Client Selection Perspective. - Yash Travadi; Le Peng; Xuan Bi; Ju Sun; Mochen Yang (CoRR, 2023)

Demystifying Poisoning Backdoor Attacks from a Statistical Perspective. - Ganghua Wang; Xun Xian; Ashish Kundu; Jayanth Srinivasa; Xuan Bi; Mingyi Hong 001; Jie Ding 002 (ICLR, 2024)

RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees. - Xun Xian; Ganghua Wang; Xuan Bi; Jayanth Srinivasa; Ashish Kundu; Mingyi Hong 001; Jie Ding 002 (NeurIPS, 2024)

On the Vulnerability of Applying Retrieval-Augmented Generation within Knowledge-Intensive Application Domains. - Xun Xian; Ganghua Wang; Xuan Bi; Jayanth Srinivasa; Ashish Kundu; Charles Fleming; Mingyi Hong 001; Jie Ding 002 (CoRR, 2024)

Consumer Acquisition for Recommender Systems: A Theoretical Framework and Empirical Evaluations. - Xuan Bi; Mochen Yang; Gediminas Adomavicius (Inf. Syst. Res., 2024)

Background Music Recommendation on Short Video Sharing Platforms. - Jiawei Chen; Luo He; Hongyan Liu 002; Yinghui (Catherine) Yang; Xuan Bi (Inf. Syst. Res., 2024)

Understanding Partnership Formation and Repeated Contributions in Federated Learning: An Analytical Investigation. - Xuan Bi; Alok Gupta; Mochen Yang (Manag. Sci., 2024)

An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems. - Fangqiao Tian; An Luo; Jin Du; Xun Xian; Robert Specht; Ganghua Wang; Xuan Bi; Jiawei Zhou; Jayanth Srinivasa; Ashish Kundu; Charles Fleming; Rui Zhang 028; et al. (CoRR, 2025)

AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science. - An Luo; Xun Xian; Jin Du; Fangqiao Tian; Ganghua Wang; Ming Zhong; Shengchun Zhao; Xuan Bi; Zirui Liu 001; Jiawei Zhou; Jayanth Srinivasa; Ashish Kundu; et al. (CoRR, 2025)

GRAND: Graph Release with Assured Node Differential Privacy. - Suqing Liu; Xuan Bi; Tianxi Li (CoRR, 2025)