Sulin Liu - RankMe

19 papers A* 6A 3Journal 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Scaling Autoregressive Models for Lattice Thermodynamics. CoRR Xiaochen Du, Juno Nam, Sulin Liu, Rafael Gómez-Bombarelli
2025	J	`jnl`	DiffSyn: A Generative Diffusion Approach to Materials Synthesis Planning. CoRR Elton Pan, Soonhyoung Kwon, Sulin Liu, Mingrou Xie, Alexander J. Hoffman, Yifei Duan, Thorben Prein, Killian Sheriff, Yuriy Roman-Leshkov, Manuel Moliner, Rafael Gómez-Bombarelli, Elsa A. Olivetti
2025	A*	`conf`	Think while You Generate: Discrete Diffusion with Planned Denoising. ICLR Sulin Liu, Juno Nam, Andrew Campbell, Hannes Stärk, Yilun Xu, Tommi S. Jaakkola, Rafael Gómez-Bombarelli
2024	J	`jnl`	Efficient Generation of Molecular Clusters with Dual-Scale Equivariant Flow Matching. CoRR Akshay Subramanian, Shuhui Qu, Cheol Woo Park, Sulin Liu, Janghwan Lee, Rafael Gómez-Bombarelli
2024	J	`jnl`	Flow Matching for Accelerated Simulation of Atomic Transport in Materials. CoRR Juno Nam, Sulin Liu, Gavin Winter, KyuJung Jun, Soojung Yang, Rafael Gómez-Bombarelli
2024	A*	`conf`	Generative Marginalization Models. ICML Sulin Liu, Peter J. Ramadge, Ryan P. Adams
2024	J	`jnl`	Think While You Generate: Discrete Diffusion with Planned Denoising. CoRR Sulin Liu, Juno Nam, Andrew Campbell, Hannes Stärk, Yilun Xu, Tommi S. Jaakkola, Rafael Gómez-Bombarelli
2023	J	`jnl`	Generative Marginalization Models. CoRR Sulin Liu, Peter J. Ramadge, Ryan P. Adams
2023	A	`conf`	Sparse Bayesian optimization. AISTATS Sulin Liu, Qing Feng, David Eriksson, Benjamin Letham, Eytan Bakshy
2022	J	`jnl`	Sparse Bayesian Optimization. CoRR Sulin Liu, Qing Feng, David Eriksson, Benjamin Letham, Eytan Bakshy
2021	J	`jnl`	ProBF: Learning Probabilistic Safety Certificates with Barrier Functions. CoRR Athindran Ramesh Kumar, Sulin Liu, Jaime F. Fisac, Ryan P. Adams, Peter J. Ramadge
2020	A	`conf`	Revisiting the Landscape of Matrix Factorization. AISTATS Hossein Valavi, Sulin Liu, Peter J. Ramadge
2020	A*	`conf`	Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters. NeurIPS Sulin Liu, Xingyuan Sun, Peter J. Ramadge, Ryan P. Adams
2020	J	`jnl`	The Landscape of Matrix Factorization Revisited. CoRR Hossein Valavi, Sulin Liu, Peter J. Ramadge
2018	A*	`conf`	Data Poisoning Attacks on Multi-Task Relationship Learning. AAAI Mengchen Zhao, Bo An, Yaodong Yu, Sulin Liu, Sinno Jialin Pan
2017	A*	`conf`	Adaptive Group Sparse Multi-task Learning via Trace Lasso. IJCAI Sulin Liu, Sinno Jialin Pan
2017	A	`conf`	Communication-Efficient Distributed Primal-Dual Algorithm for Saddle Point Problem. UAI Yaodong Yu, Sulin Liu, Sinno Jialin Pan
2017	A*	`conf`	Distributed Multi-Task Relationship Learning. KDD Sulin Liu, Sinno Jialin Pan, Qirong Ho
2016	J	`jnl`	Distributed Multi-task Relationship Learning. CoRR Sulin Liu, Sinno Jialin Pan, Qirong Ho