Learning Network Dynamics from Noisy Steady States. - Yanna Ding; Jianxi Gao; Malik Magdon-Ismail (ASONAM, 2023)

Predicting Time Series of Networked Dynamical Systems without Knowing Topology. - Yanna Ding; Zijie Huang 002; Malik Magdon-Ismail; Jianxi Gao (CoRR, 2024)

Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation. - Yanna Ding; Zijie Huang 002; Xiao Shou; Yihang Guo; Yizhou Sun; Jianxi Gao (AAAI, 2025)

Inferring from Logits: Exploring Best Practices for Decoding-Free Generative Candidate Selection. - Mingyu Derek Ma; Yanna Ding; Zijie Huang 002; Jianxi Gao; Yizhou Sun; Wei Wang 010 (ACL (1), 2025)

Epigraph Based Multilevel Optimization (EMO) for Enhancing Chain-of-Thought Reasoning Capabilities. - Songtao Lu; Yanna Ding; Lior Horesh; Jianxi Gao; Malik Magdon-Ismail (ICASSP, 2025)

Less is More: Efficient Weight Farcasting with 1-Layer Neural Network. - Xiao Shou; Debarun Bhattacharjya; Yanna Ding; Chen Zhao; Rui Li; Jianxi Gao (CoRR, 2025)

Gradient Flow Matching for Learning Update Dynamics in Neural Network Training. - Xiao Shou; Yanna Ding; Jianxi Gao (CoRR, 2025)