Xuan Bi

41 papers A* 5A 5B 2C 1Journal 25Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
AgentDS Technical Report: Benchmarking the Future of Human-AI Collaboration in Domain-Specific Data Science.
CoRR
An Luo, Jin Du, Xun Xian, Robert Specht, Fangqiao Tian, Ganghua Wang, Xuan Bi, Charles Fleming, Ashish Kundu, Jayanth Srinivasa, Mingyi Hong, Rui Zhang, Tianxi Li, Galin Jones, Jie Ding
2026 J jnl
Differentially Private Truncation of Unbounded Data via Public Second Moments.
CoRR
Zilong Cao, Xuan Bi, Hai Zhang
2026 J jnl
Recommending Composite Items Using Multi-Level Preference Information: A Joint Interaction Modeling Approach.
CoRR
Xuan Bi, Yaqiong Wang, Gediminas Adomavicius, Shawn P. Curley
2025 J jnl
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems.
CoRR
Fangqiao Tian, An Luo, Jin Du, Xun Xian, Robert Specht, Ganghua Wang, Xuan Bi, Jiawei Zhou, Jayanth Srinivasa, Ashish Kundu, Charles Fleming, Rui Zhang, Zirui Liu, Mingyi Hong, Jie Ding
2025 — conf
AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science.
EMNLP (Findings)
An Luo, Xun Xian, Jin Du, Fangqiao Tian, Ganghua Wang, Ming Zhong, Shengchun Zhao, Xuan Bi, Zirui Liu, Jiawei Zhou, Jayanth Srinivasa, Ashish Kundu, Charles Fleming, Mingyi Hong, Jie Ding
2025 J jnl
AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science.
CoRR
An Luo, Xun Xian, Jin Du, Fangqiao Tian, Ganghua Wang, Ming Zhong, Shengchun Zhao, Xuan Bi, Zirui Liu, Jiawei Zhou, Jayanth Srinivasa, Ashish Kundu, Charles Fleming, Mingyi Hong, Jie Ding
2025 — conf
Can Agentic AI Match the Performance of Human Data Scientists?
CAMSAP
An Luo, Jin Du, Fangqiao Tian, Xun Xian, Robert Specht, Ganghua Wang, Xuan Bi, Charles Fleming, Jayanth Srinivasa, Ashish Kundu, Mingyi Hong, Jie Ding
2025 J jnl
Can Agentic AI Match the Performance of Human Data Scientists?
CoRR
An Luo, Jin Du, Fangqiao Tian, Xun Xian, Robert Specht, Ganghua Wang, Xuan Bi, Charles Fleming, Jayanth Srinivasa, Ashish Kundu, Mingyi Hong, Jie Ding
2025 J jnl
GRAND: Graph Release with Assured Node Differential Privacy.
CoRR
Suqing Liu, Xuan Bi, Tianxi Li
2025 A* conf
On the Vulnerability of Applying Retrieval-Augmented Generation within Knowledge-Intensive Application Domains.
ICML
Xun Xian, Ganghua Wang, Xuan Bi, Rui Zhang, Jayanth Srinivasa, Ashish Kundu, Charles Fleming, Mingyi Hong, Jie Ding
2025 C conf
Turning Freemium into Gold: A Parallel Insight Network for Live Streaming Recommendation.
ICIS
Xintong Lu, Xuan Bi, Yue Guo, Alain Chong
2024 J jnl
Background Music Recommendation on Short Video Sharing Platforms.
Inf. Syst. Res.
Jiawei Chen, Luo He, Hongyan Liu, Yinghui (Catherine) Yang, Xuan Bi
2024 J jnl
Consumer Acquisition for Recommender Systems: A Theoretical Framework and Empirical Evaluations.
Inf. Syst. Res.
Xuan Bi, Mochen Yang, Gediminas Adomavicius
2024 A* conf
Demystifying Poisoning Backdoor Attacks from a Statistical Perspective.
ICLR
Ganghua Wang, Xun Xian, Ashish Kundu, Jayanth Srinivasa, Xuan Bi, Mingyi Hong, Jie Ding
2024 J jnl
On the Vulnerability of Applying Retrieval-Augmented Generation within Knowledge-Intensive Application Domains.
CoRR
Xun Xian, Ganghua Wang, Xuan Bi, Jayanth Srinivasa, Ashish Kundu, Charles Fleming, Mingyi Hong, Jie Ding
2024 A* conf
RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees.
NeurIPS
Xun Xian, Ganghua Wang, Xuan Bi, Jayanth Srinivasa, Ashish Kundu, Mingyi Hong, Jie Ding
2024 J jnl
RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees.
CoRR
Xun Xian, Ganghua Wang, Xuan Bi, Jayanth Srinivasa, Ashish Kundu, Mingyi Hong, Jie Ding
2024 J jnl
Understanding Partnership Formation and Repeated Contributions in Federated Learning: An Analytical Investigation.
Manag. Sci.
Xuan Bi, Alok Gupta, Mochen Yang
2023 A* conf
A Unified Detection Framework for Inference-Stage Backdoor Defenses.
NeurIPS
Xun Xian, Ganghua Wang, Jayanth Srinivasa, Ashish Kundu, Xuan Bi, Mingyi Hong, Jie Ding
2023 J jnl
Demystifying Poisoning Backdoor Attacks from a Statistical Perspective.
CoRR
Ganghua Wang, Xun Xian, Jayanth Srinivasa, Ashish Kundu, Xuan Bi, Mingyi Hong, Jie Ding
2023 A* conf
Understanding Backdoor Attacks through the Adaptability Hypothesis.
ICML
Xun Xian, Ganghua Wang, Jayanth Srinivasa, Ashish Kundu, Xuan Bi, Mingyi Hong, Jie Ding
2023 J jnl
Welfare and Fairness Dynamics in Federated Learning: A Client Selection Perspective.
CoRR
Yash Travadi, Le Peng, Xuan Bi, Ju Sun, Mochen Yang
2022 J jnl
Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness.
INFORMS J. Comput.
Xuan Bi, Gediminas Adomavicius, William Li, Annie Qu
2021 J jnl
Distribution-Invariant Differential Privacy.
CoRR
Xuan Bi, Xiaotong Shen
2021 J jnl
Dynamic Tensor Recommender Systems.
J. Mach. Learn. Res.
Yanqing Zhang, Xuan Bi, Niansheng Tang, Annie Qu
2020 J jnl
Consistent Subtyping for All.
ACM Trans. Program. Lang. Syst.
Ningning Xie, Xuan Bi, Bruno C. d. S. Oliveira, Tom Schrijvers
2020 J jnl
Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness.
CoRR
Xuan Bi, Gediminas Adomavicius, William Li, Annie Qu
2020 A conf
Row and Bounded Polymorphism via Disjoint Polymorphism.
ECOOP
Ningning Xie, Bruno C. d. S. Oliveira, Xuan Bi, Tom Schrijvers
2019 A conf
Distributive Disjoint Polymorphism for Compositional Programming.
ESOP
Xuan Bi, Ningning Xie, Bruno C. d. S. Oliveira, Tom Schrijvers
2019 J jnl
FCMLSM Segmentation of Micro-Vessels in Slight Defocused Microscopic Images.
J. Adv. Comput. Intell. Intell. Informatics
Zhongming Luo, Yu Zhang, Zixuan Zhou, Xuan Bi, Haibin Wu, Zhentao Xin
2019 J jnl
Individualized Multilayer Tensor Learning with An Application in Imaging Analysis.
CoRR
Xiwei Tang, Xuan Bi, Annie Qu
2018 A conf
Consistent Subtyping for All.
ESOP
Ningning Xie, Xuan Bi, Bruno C. d. S. Oliveira
2018 J jnl
The Essence of Nested Composition (Artifact).
Dagstuhl Artifacts Ser.
Xuan Bi, Bruno C. d. S. Oliveira, Tom Schrijvers
2018 A conf
The Essence of Nested Composition.
ECOOP
Xuan Bi, Bruno C. d. S. Oliveira, Tom Schrijvers
2018 J jnl
Typed First-Class Traits (Artifact).
Dagstuhl Artifacts Ser.
Xuan Bi, Bruno C. d. S. Oliveira
2018 A conf
Typed First-Class Traits.
ECOOP
Xuan Bi, Bruno C. d. S. Oliveira
2017 J jnl
Evolution and Vaccination of Influenza Virus.
J. Comput. Biol.
Ham Ching Lam, Xuan Bi, Srinand Sreevatsan, Daniel Boley
2016 B conf
Unified Syntax with Iso-types.
APLAS
Yanpeng Yang, Xuan Bi, Bruno C. d. S. Oliveira
2015 B conf
Memory-Efficient Tail Calls in the JVM with Imperative Functional Objects.
APLAS
Tomás Tauber, Xuan Bi, Zhiyuan Shi, Weixin Zhang, Huang Li, Zhenrui Zhang, Bruno C. d. S. Oliveira
2014 J jnl
BioTCM-SE: A Semantic Search Engine for the Information Retrieval of Modern Biology and Traditional Chinese Medicine.
Comput. Math. Methods Medicine
Xi Chen, Huajun Chen, Xuan Bi, Peiqin Gu, Jiaoyan Chen, Zhaohui Wu
2007 — conf
Design and Implementation of MPICH2 over Optical Fiber.
FGCN (1)
Xuan Bi, Minglu Li