Shengbo Wang

1. The PRIDE database resources in 2022: a hub for mass spectrometry-based proteomics evidences
   2021/10/16 by Yasset Pérez‐Riverol, Jingwen Bai, Chakradhar Bandla +11 · 134 citations
   Biochemistry, Genetics and Molecular Biology · Chemistry · #Advanced Proteomics Techniques and Applications #Genomics and Phylogenetic Studies #Mass Spectrometry Techniques and Applications
2. The PRIDE database at 20 years: 2025 update
   2024/11/04 by Yasset Pérez‐Riverol, Chakradhar Bandla, Deepti J Kundu +8 · 90 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · Decision Sciences · #Genetics, Bioinformatics, and Biomedical Research #Research Data Management Practices #Scientific Computing and Data Management
3. The ProteomeXchange consortium at 10 years: 2023 update
   2022/11/12 by Eric W. Deutsch, Nuno Bandeira, Yasset Pérez‐Riverol +19 · 27 citations
   Chemistry · Computer Science · Decision Sciences · #Advanced Proteomics Techniques and Applications #Research Data Management Practices #Scientific Computing and Data Management
4. A Finite Sample Complexity Bound for Distributionally Robust Q-learning
   2023/02/26 by Shengbo Wang, Wang, Shengbo, Nian Si +5 · 7 citations
   Computer Science · Mathematics · #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Statistical Methods and Inference
5. Sample Complexity of Variance-reduced Distributionally Robust Q-learning
   2023/05/28 by Shengbo Wang, Nian Si, Wang, Shengbo +5 · 6 citations
   Computer Science · #Reinforcement Learning in Robotics
6. On the Foundation of Distributionally Robust Reinforcement Learning
   2023/11/15 by Shengbo Wang, Wang, Shengbo, Nian Si +5 · 5 citations
   Computer Science · #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Reinforcement Learning in Robotics #Systems and Control (eess.SY) #electronic engineering #information engineering
7. An Efficient High-Dimensional Gradient Estimator for Stochastic Differential Equations
   2024/07/14 by Shengbo Wang, Wang, Shengbo, José Blanchet +3 · 2 citations
   Computer Science · Mathematics · #Matrix Theory and Algorithms #Neural Networks and Applications #Numerical methods in inverse problems
8. Optimal Sample Complexity for Average Reward Markov Decision Processes
   2023/10/13 by Shengbo Wang, Wang, Shengbo, José Blanchet +3 · 1 citation
   Computer Science · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
9. Constrained Bayesian Optimization Under Partial Observations: Balanced Improvements and Provable Convergence
   2023/12/06 by Shengbo Wang, Wang, Shengbo, Ke Li +1 · 1 citation
   Computer Science · Decision Sciences · #Machine Learning and Data Classification #Machine Learning and Algorithms #Advanced Bandit Algorithms Research
10. Sample Complexity of Distributionally Robust Average-Reward Reinforcement Learning
    2025/05/15 by Zijun Chen, Shengbo Wang, Chen, Zijun +3 · 2 citations
    Computer Science · #Statistical and Computational Modeling