Deep neural networks for improved, impromptu trajectory tracking of quadrotors. - Qiyang Li; Jingxing Qian; Zining Zhu 001; Xuchan Bao; Mohamed K. Helwa; Angela P. Schoellig (ICRA, 2017)

TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer. - Sicong Huang 001; Qiyang Li; Cem Anil; Xuchan Bao; Sageev Oore; Roger B. Grosse (ICLR (Poster), 2019)

Benchmarking Model-Based Reinforcement Learning. - Tingwu Wang; Xuchan Bao; Ignasi Clavera; Jerrick Hoang; Yeming Wen; Eric D. Langlois 002; Shunshi Zhang 001; Guodong Zhang 006; Pieter Abbeel; Jimmy Ba (CoRR, 2019)

Regularized linear autoencoders recover the principal components, eventually. - Xuchan Bao; James Lucas; Sushant Sachdeva; Roger B. Grosse (NeurIPS, 2020)

Learning to Elect. - Cem Anil; Xuchan Bao (NeurIPS, 2021)

A Unified Analysis of First-Order Methods for Smooth Games via Integral Quadratic Constraints. - Guodong Zhang 006; Xuchan Bao; Laurent Lessard; Roger B. Grosse (J. Mach. Learn. Res., 2021)

Finding and Only Finding Differential Nash Equilibria by Both Pretending to be a Follower. - Xuchan Bao; Guodong Zhang (Trans. Mach. Learn. Res., 2023)

Diff4Steer: Steerable Diffusion Prior for Generative Music Retrieval with Semantic Guidance. - Xuchan Bao; Judith Yue Li; Zhong Yi Wan; Kun Su; Timo I. Denk; Joonseok Lee; Dima Kuzmin; Fei Sha (ICASSP, 2025)

Tell me about yourself: LLMs are aware of their learned behaviors. - Jan Betley; Xuchan Bao; Martín Soto; Anna Sztyber-Betley; James Chua; Owain Evans (ICLR, 2025)

Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs. - Jan Betley; Daniel Tan; Niels Warncke; Anna Sztyber-Betley; Xuchan Bao; Martín Soto; Nathan Labenz; Owain Evans (CoRR, 2025)