Beilun Wang

1. A Theoretical Framework for Robustness of (Deep) Classifiers against Adversarial Examples
   2016/12/01 by Beilun Wang, Ji Gao, Wang, Beilun +3 · 4 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Advanced Malware Detection Techniques
2. DeepCloak: Masking Deep Neural Network Models for Robustness Against Adversarial Samples
   2017/02/22 by Ji Gao, Gao, Ji, Beilun Wang +7 · 2 citations
   Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
3. A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models
   2017/02/09 by Beilun Wang, Wang, Beilun, Ji Gao +3 · 1 citation
   Computer Science · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Face and Expression Recognition #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Performance (cs.PF)
4. Reasoning BO: Enhancing Bayesian Optimization with Long-Context Reasoning Power of LLMs
   2025/05/19 by Zhuo Yang, Yang, Zhuo, Wang, Daolang +8 · 2 citations
   Computer Science · Materials Science · #Advanced Multi-Objective Optimization Algorithms #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning and Data Classification #Machine Learning in Materials Science
5. ABOPD: Antibody CDR Design via On-Policy Distillation
   2026/07/21 by Zhuo Yang, Jiaying He, Jiaqing Xie +5
   #cs.LG #cs.AI