Partitioning the Boolean Lattice into Chains of Large Minimum Size. - Tim Hsu; Mark J. Logan; Shahriar Shahriari; Christopher Towse (J. Comb. Theory A, 2002)

Partitioning the Boolean lattice into a minimal number of chains of relatively uniform size. - Tim Hsu; Mark J. Logan; Shahriar Shahriari; Christopher Towse (Eur. J. Comb., 2003)

The generalized Füredi conjecture holds for finite linear lattices. - Tim Hsu; Mark J. Logan; Shahriar Shahriari (Discret. Math., 2006)

Methods for nesting rank 3 normalized matching rank-unimodal posets. - Tim Hsu; Mark J. Logan; Shahriar Shahriari (Discret. Math., 2009)

Rational Nonaxis Points on the Unit Circle Have Irrational Angles. - Tim Hsu (Am. Math. Mon., 2016)

Microstructure Generation via Generative Adversarial Network for Heterogeneous, Topologically Complex 3D Materials. - Tim Hsu; William K. Epting; Hokon Kim; Harry W. Abernathy; Gregory A. Hackett; Anthony D. Rollett; Paul A. Salvador; Elizabeth A. Holm (CoRR, 2020)

Efficient, Interpretable Atomistic Graph Neural Network Representation for Angle-dependent Properties and its Application to Optical Spectroscopy Prediction. - Tim Hsu; Nathan Keilbart; Stephen Weitzner; James Chapman 005; Penghao Xiao; Tuan Anh Pham; S. Roger Qiu; Xiao Chen; Brandon C. Wood (CoRR, 2021)

Challenges and approaches to privacy preserving post-click conversion prediction. - Conor O'Brien; Arvind Thiagarajan; Sourav Das; Rafael Barreto; Chetan Verma; Tim Hsu; James Neufeld; Jonathan J. Hunt (CoRR, 2022)

Score-based denoising for atomic structure identification. - Tim Hsu; Babak Sadigh; Nicolas Bertin; Cheol Woo Park; James Chapman 005; Vasily V. Bulatov; Fei Zhou 002 (CoRR, 2022)

Score dynamics: scaling molecular dynamics with picosecond timesteps via conditional diffusion model. - Tim Hsu; Babak Sadigh; Vasily V. Bulatov; Fei Zhou 002 (CoRR, 2023)

Spectroscopy-Guided Discovery of Three-Dimensional Structures of Disordered Materials with Diffusion Models. - Hyuna Kwon; Tim Hsu; Wenyu Sun; Wonseok Jeong; Fikret Aydin; James Chapman 005; Xiao Chen; Matthew R. Carbone; Deyu Lu; Fei Zhou 002; Tuan Anh Pham (CoRR, 2023)

Cascading Blackout Severity Prediction with Statistically-Augmented Graph Neural Networks. - Joe Gorka; Tim Hsu; Wenting Li; Yury Maximov; Line Roald (CoRR, 2024)

Grand canonical generative diffusion model for crystalline phases and grain boundaries. - Bo Lei; Enze Chen; Hyuna Kwon; Tim Hsu; Babak Sadigh; Vincenzo Lordi; Timofey Frolov; Fei Zhou (CoRR, 2024)

Ice Phase Classification Made Easy with Score-Based Denoising. - Hong Sun; Sébastien Hamel; Tim Hsu; Babak Sadigh; Vincenzo Lordi; Fei Zhou 002 (J. Chem. Inf. Model., 2024)

Spectroscopy-guided discovery of three-dimensional structures of disordered materials with diffusion models. - Hyuna Kwon; Tim Hsu; Wenyu Sun; Wonseok Jeong; Fikret Aydin; James Chapman 005; Xiao Chen; Vincenzo Lordi; Matthew R. Carbone; Deyu Lu; Fei Zhou 002; Tuan Anh Pham (Mach. Learn. Sci. Technol., 2024)

BOOM: Benchmarking Out-Of-distribution Molecular Property Predictions of Machine Learning Models. - Evan R. Antoniuk; Shehtab Zaman; Tal Ben-Nun; Peggy Li; James Diffenderfer; Busra Demirci; Obadiah Smolenski; Tim Hsu; Anna M. Hiszpanski; Kenneth Chiu; Bhavya Kailkhura; Brian Van Essen (CoRR, 2025)