Wideband speech coding using MELP model. - Weiran Lin; Soo Ngee Koh; Xiao Lin 001 (ISSPA, 1999)

Mixed excitation linear prediction coding of wideband speech at 8 kbps. - Weiran Lin; Soo Ngee Koh; Xiao Lin 001 (ICASSP, 2000)

An 8.0-/8.4-kbps wideband speech coder based on mixed excitation linear prediction. - Weiran Lin; Soo Ngee Koh; Xiao Lin 001 (Signal Process., 2001)

Primary lung tumor segmentation from PET-CT volumes with spatial-topological constraint. - Hui Cui 002; Xiuying Wang 001; Weiran Lin; Jianlong Zhou; Stefan Eberl; Dagan Feng 001; Michael J. Fulham (Int. J. Comput. Assist. Radiol. Surg., 2016)

Predicting drug-disease associations based on the known association bipartite network. - Wen Zhang 008; Xiang Yue; Yanlin Chen 002; Weiran Lin; Bolin Li; Feng Liu; Xiaohong Li 003 (BIBM, 2017)

Predicting drug-disease associations by using similarity constrained matrix factorization. - Wen Zhang 008; Xiang Yue; Weiran Lin; Wenjian Wu; Ruoqi Liu; Feng Huang 004; Feng Liu (BMC Bioinform., 2018)

Optimization Design of Oven Shape Based on Heat Distribution Model. - Xueyong Yu; Weiran Lin; Jinling Wei; Shuoping Wang; Haifeng Ke (J. Adv. Comput. Intell. Intell. Informatics, 2020)

Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks. - Weiran Lin; Keane Lucas; Lujo Bauer; Michael K. Reiter; Mahmood Sharif (ICML, 2022)

Adversarial Training for Raw-Binary Malware Classifiers. - Keane Lucas; Samruddhi Pai; Weiran Lin; Lujo Bauer; Michael K. Reiter; Mahmood Sharif (USENIX Security Symposium, 2023)

Nonparametric Discrete Choice Experiments with Machine Learning Guided Adaptive Design. - Mingzhang Yin; Ruijiang Gao; Weiran Lin; Steven M. Shugan (CoRR, 2023)

Mystery Game Script Compose Based on a Large Language Model. - Jiameng Li; Zhen Chen; Weiran Lin; Liangjun Zou; Xin Xie; Yaodong Hu; Dianmo Li (AIIoT, 2024)

An Empirical Study on the Power Consumption of LLMs with Different GPU Platforms. - Zhen Chen; Weiran Lin; Xinyu Xie; Yaodong Hu; Chao Li 012; Qiaojuan Tong; Yinjun Wu; Shuangshou Li (IEEE Big Data, 2024)

Training Robust ML-based Raw-Binary Malware Detectors in Hours, not Months. - Keane Lucas; Weiran Lin; Lujo Bauer; Michael K. Reiter; Mahmood Sharif (CCS, 2024)

The WMDP Benchmark: Measuring and Reducing Malicious Use with Unlearning. - Nathaniel Li; Alexander Pan; Anjali Gopal; Summer Yue; Daniel Berrios; Alice Gatti; Justin D. Li; Ann-Kathrin Dombrowski; Shashwat Goel; Gabriel Mukobi; Nathan Helm-Burger; Rassin Lababidi; et al. (ICML, 2024)

Group-based Robustness: A General Framework for Customized Robustness in the Real World. - Weiran Lin; Keane Lucas; Neo Eyal; Lujo Bauer; Michael K. Reiter; Mahmood Sharif (NDSS, 2024)

Sales Whisperer: A Human-Inconspicuous Attack on LLM Brand Recommendations. - Weiran Lin; Anna Gerchanovsky; Omer Akgul; Lujo Bauer; Matt Fredrikson; Zifan Wang 001 (CoRR, 2024)

LLM Whisperer: An Inconspicuous Attack to Bias LLM Responses. - Weiran Lin; Anna Gerchanovsky; Omer Akgul; Lujo Bauer; Matt Fredrikson; Zifan Wang 001 (CHI, 2025)

Estimating LLM Consistency: A User Baseline vs Surrogate Metrics. - Xiaoyuan Wu; Weiran Lin; Omer Akgul; Lujo Bauer (CoRR, 2025)