Chongli Qin

1. Improved protein structure prediction using potentials from deep learning
   2020/01/15 by Andrew W. Senior, Andrew Senior, Richard Evans +18 · 125 citations
   Biochemistry, Genetics and Molecular Biology · Materials Science · #Enzyme Structure and Function #Plant biochemistry and biosynthesis #Protein Structure and Dynamics
2. Discovery of Unstable Singularities
   2025/09/17 by Yongji Wang, Y. Wang, Wang, Yongji +45 · 8 voices · 3 citations
   Physics and Astronomy · Engineering · Computer Science · #math.AP #physics.flu-dyn
3. On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models
   2018/10/30 by Sven Gowal, Krishnamurthy Dvijotham, Gowal, Sven +15 · 82 citations
   Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Machine Learning and Algorithms #Fault Detection and Control Systems
4. Supervised Fine Tuning on Curated Data is Reinforcement Learning (and can be improved)
   2025/07/17 by Chongli Qin, Jost Tobias Springenberg, Qin, Chongli +1 · 8 voices · 11 citations
   Computer Science · #Neural Networks and Applications #cs.AI #cs.LG
5. Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples
   2020/10/07 by Sven Gowal, Chongli Qin, Gowal, Sven +7 · 32 citations
   Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Physical Unclonable Functions (PUFs) and Hardware Security
6. Adversarial Robustness through Local Linearization
   2019/07/04 by Chongli Qin, Qin, Chongli, James Martens +15 · 5 citations
   Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
7. An Alternative Surrogate Loss for PGD-based Adversarial Testing
   2019/10/21 by Sven Gowal, Jonathan Uesato, Gowal, Sven +9 · 8 citations
   Computer Science · Engineering · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Integrated Circuits and Semiconductor Failure Analysis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
8. On a continuous time model of gradient descent dynamics and instability in deep learning
   2023/02/03 by Mihaela Roşca, Rosca, Mihaela, Yan Wu +5 · 2 citations
   Medicine · Physics and Astronomy · #Advanced Neuroimaging Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Medical Imaging Techniques and Applications #Model Reduction and Neural Networks
9. Training Generative Adversarial Networks by Solving Ordinary Differential Equations
   2020/10/28 by Chongli Qin, Yan Wu, Qin, Chongli +11 · 2 citations
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
10. Achieving Robustness in the Wild via Adversarial Mixing with\n Disentangled Representations
    2019/12/06 by Sven Gowal, Gowal, Sven, Chongli Qin +10 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Generative Adversarial Networks and Image Synthesis #Anomaly Detection Techniques and Applications