# Publications 1. Spring-Block Theory of Feature Learning in Deep Neural Networks <em><strong>C Shi</strong>, L Pan, I Dokmanić</em> Physical Review Letters 134 (25), 257301 · 2025 2. Inverse Knowledge Search over Verifiable Reasoning: Synthesizing a Scientific Encyclopedia from a Long Chains-of-Thought Knowledge Base <em>Y Li, Y Huang, T Wang, C Fan, X Cai, S Hu, X Liu, <strong>C Shi</strong>, M Xu, Z Wang, Y Wang, X Jin, T Zhang, L Zhang, L Wang, Y Deng, P Zhang, W Sun, X Li, W E, Z Yao, K Chen</em> arXiv preprint arXiv:2510.26854 · 2025 3. Joint Graph Rewiring and Feature Denoising via Spectral Resonance <em>J Linkerhägner^&ast;, <strong>C Shi</strong>^&ast;, I Dokmanić</em> International Conference on Learning Representations (ICLR) · 2025 4. Homophily Modulates Double Descent Generalization in Graph Convolution Networks <em><strong>C Shi</strong>, L Pan, H Hu, I Dokmanić</em> Proceedings of the National Academy of Sciences 121 (8), e2309504121 · 2024 5. A Graph Dynamics Prior for Relational Inference <em>L Pan^&ast;, <strong>C Shi</strong>^&ast;, I Dokmanić</em> Proceedings of the AAAI Conference on Artificial Intelligence 38 (13) · 2024 6. A Dynamical Graph Prior for Relational Inference <em>L Pan^&ast;, <strong>C Shi</strong>^&ast;, I Dokmanić</em> arXiv preprint arXiv:2306.06041 · 2023 7. Harpa: High-Rate Phase Association with Travel Time Neural Fields <em><strong>C Shi</strong>, M. V. de Hoop, I Dokmanić</em> arXiv preprint arXiv:2307.07572 · 2023 8. Graph Representation Neural Architecture Search for Optimal Spatial/Temporal Functional Brain Network Decomposition <em>H Dai, Q Li, L Zhao, L Pan, <strong>C Shi</strong>, Z Liu, Z Wu, L Zhang, S Zhao, X Wu, T Liu, D Zhu</em> International Workshop on Machine Learning in Medical Imaging · 2022 9. Manifold Rewiring for Unlabeled Imaging <em>V Debarnot, V Kishore, <strong>C Shi</strong>, I Dokmanić</em> Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA) · 2022 10. Neural Link Prediction with Walk Pooling <em>L Pan^&ast;, <strong>C Shi</strong>^&ast;, I Dokmanić</em> International Conference on Learning Representations (ICLR) · 2022 11. Robust Reinforcement Learning via Adversarial Training with Langevin Dynamics <em>P Kamalaruban, Y.-T. Huang, Y.-P. Hsieh, P Rolland, <strong>C Shi</strong>, V Cevher</em> Advances in Neural Information Processing Systems (NeurIPS) 33, 8127–8138 · 2020 12. Weighted Community Detection and Data Clustering Using Message Passing <em><strong>C Shi</strong>, Y Liu, P Zhang</em> Journal of Statistical Mechanics: Theory and Experiment 2018 (3), 033405 · 2018 <ul> <li>^&ast; Equal contribution.</li> </ul>