DBSCAN: Optimal Rates For Density-Based Cluster Estimation. - Daren Wang; Xinyang Lu; Alessandro Rinaldo (J. Mach. Learn. Res., 2019)

An exploratory study of reactions to bot comments on GitHub. - Juan Carlos Farah; Basile Spaenlehauer; Xinyang Lu; Sandy Ingram; Denis Gillet (BotSE@ICSE, 2022)

Action and Trajectory Planning for Urban Autonomous Driving with Hierarchical Reinforcement Learning. - Xinyang Lu; Flint Xiaofeng Fan; Tianying Wang (CoRR, 2023)

Efficient calculation of the integral equation for simulating 2D TE scattering in a homogeneous medium using the Ewald method and a Gabor frame discretization. - Xinyang Lu; Martijn C. van Beurden; Qingbiao Wu (CoRR, 2023)

Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs. - Miao Xiong; Zhiyuan Hu; Xinyang Lu; Yifei Li; Jie Fu 001; Junxian He; Bryan Hooi (ICLR, 2024)

On Newton's Method to Unlearn Neural Networks. - Nhung Bui; Xinyang Lu; See-Kiong Ng; Bryan Kian Hsiang Low (CoRR, 2024)

TRACE: TRansformer-based Attribution using Contrastive Embeddings in LLMs. - Cheng Wang; Xinyang Lu; See-Kiong Ng; Bryan Kian Hsiang Low (CoRR, 2024)

Global-to-Local Support Spectrums for Language Model Explainability. - Lucas Agussurja; Xinyang Lu; Bryan Kian Hsiang Low (CoRR, 2024)

WASA: WAtermark-based Source Attribution for Large Language Model-Generated Data. - Xinyang Lu; Jingtan Wang 001; Zitong Zhao; Zhongxiang Dai; Chuan-Sheng Foo; See-Kiong Ng; Bryan Kian Hsiang Low (ACL (Findings), 2025)

WaterDrum: Watermarking for Data-centric Unlearning Metric. - Xinyang Lu; Xinyuan Niu 001; Gregory Kang Ruey Lau; Bui Thi Cam Nhung; Rachael Hwee Ling Sim; Fanyu Wen; Chuan-Sheng Foo; See-Kiong Ng; Bryan Kian Hsiang Low (CoRR, 2025)