Adaptive Group Sparse Multi-task Learning via Trace Lasso. - Sulin Liu; Sinno Jialin Pan (IJCAI, 2017)

Distributed Multi-Task Relationship Learning. - Sulin Liu; Sinno Jialin Pan; Qirong Ho (KDD, 2017)

Communication-Efficient Distributed Primal-Dual Algorithm for Saddle Point Problem. - Yaodong Yu; Sulin Liu; Sinno Jialin Pan (UAI, 2017)

Data Poisoning Attacks on Multi-Task Relationship Learning. - Mengchen Zhao; Bo An 001; Yaodong Yu; Sulin Liu; Sinno Jialin Pan (AAAI, 2018)

Revisiting the Landscape of Matrix Factorization. - Hossein Valavi; Sulin Liu; Peter J. Ramadge (AISTATS, 2020)

Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters. - Sulin Liu; Xingyuan Sun; Peter J. Ramadge; Ryan P. Adams (NeurIPS, 2020)

The Landscape of Matrix Factorization Revisited. - Hossein Valavi; Sulin Liu; Peter J. Ramadge (CoRR, 2020)

ProBF: Learning Probabilistic Safety Certificates with Barrier Functions. - Athindran Ramesh Kumar; Sulin Liu; Jaime F. Fisac; Ryan P. Adams; Peter J. Ramadge (CoRR, 2021)

Sparse Bayesian optimization. - Sulin Liu; Qing Feng; David Eriksson; Benjamin Letham; Eytan Bakshy (AISTATS, 2023)

Generative Marginalization Models. - Sulin Liu; Peter J. Ramadge; Ryan P. Adams (ICML, 2024)

Flow Matching for Accelerated Simulation of Atomic Transport in Materials. - Juno Nam; Sulin Liu; Gavin Winter; KyuJung Jun; Soojung Yang; Rafael Gómez-Bombarelli (CoRR, 2024)

Efficient Generation of Molecular Clusters with Dual-Scale Equivariant Flow Matching. - Akshay Subramanian; Shuhui Qu; Cheol Woo Park; Sulin Liu; Janghwan Lee; Rafael Gómez-Bombarelli (CoRR, 2024)

Think while You Generate: Discrete Diffusion with Planned Denoising. - Sulin Liu; Juno Nam; Andrew Campbell; Hannes Stärk; Yilun Xu; Tommi S. Jaakkola; Rafael Gómez-Bombarelli (ICLR, 2025)