| 2026 | COLT | Graph neural networks extrapolate out-of-distribution for shortest paths. | Robert R. Nerem, Samantha Chen, Sanjoy Dasgupta, Yusu Wang |
| 2026 | FCCM | DiffRouter: A Differentiable Routing Framework for UltraScale FPGAs. | Xiaohan Gao, Zhili Xiong, Yusu Wang, David Z. Pan |
| 2025 | ICML | De-coupled NeuroGF for Shortest Path Distance Approximations on Large Terrain Graphs. | Samantha Chen, Pankaj K. Agarwal, Yusu Wang |
| 2025 | ICML | Elucidating Flow Matching ODE Dynamics via Data Geometry and Denoisers. | Zhengchao Wan, Qingsong Wang, Gal Mishne, Yusu Wang |
| 2025 | KDD | Explaining GNN Explanations with Edge Gradients. | Jesse He, Akbar Rafiey, Gal Mishne, Yusu Wang |
| 2024 | AAAI | Learning Ultrametric Trees for Optimal Transport Regression. | Samantha Chen, Puoya Tabaghi, Yusu Wang |
| 2024 | AAAI | NN-Steiner: A Mixed Neural-Algorithmic Approach for the Rectilinear Steiner Minimum Tree Problem. | Andrew B. Kahng, Robert R. Nerem, Yusu Wang, Chien-Yi Yang |
| 2024 | AISTATS | DE-HNN: An effective neural model for Circuit Netlist representation. | Zhishang Luo, Truong Son Hy, Puoya Tabaghi, Michal Defferrard, Elahe Rezaei, Ryan Carey, W. Rhett Davis, Rajeev Jain, Yusu Wang |
| 2024 | AISTATS | On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers. | Cai Zhou, Rose Yu, Yusu Wang |
| 2024 | ALT | Distances for Markov Chains, and Their Differentiation. | Tristan Brugre, Zhengchao Wan, Yusu Wang |
| 2024 | ALT | Universal Representation of Permutation-Invariant Functions on Vectors and Tensors. | Puoya Tabaghi, Yusu Wang |
| 2024 | ICML | Comparing Graph Transformers via Positional Encodings. | Mitchell Black, Zhengchao Wan, Gal Mishne, Amir Nayyeri, Yusu Wang |
| 2024 | ICML | Position: Topological Deep Learning is the New Frontier for Relational Learning. | Theodore Papamarkou, Tolga Birdal, Michael M. Bronstein, Gunnar E. Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Lio, Paolo Di Lorenzo, Vasileios Maroulas, Nina Miolane, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T. Schaub, Petar Velickovic, Bei Wang, Yusu Wang, Guo-Wei Wei, Ghada Zamzmi |
| 2023 | AISTATS | Implicit Graphon Neural Representation. | Xinyue Xia, Gal Mishne, Yusu Wang |
| 2023 | COCOA | Minimum Monotone Tree Decomposition of Density Functions Defined on Graphs. | Lucas Magee, Yusu Wang |
| 2023 | ICML | Understanding Oversquashing in GNNs through the Lens of Effective Resistance. | Mitchell Black, Zhengchao Wan, Amir Nayyeri, Yusu Wang |
| 2023 | ICML | On the Connection Between MPNN and Graph Transformer. | Chen Cai, Truong Son Hy, Rose Yu, Yusu Wang |
| 2023 | ICML | The Numerical Stability of Hyperbolic Representation Learning. | Gal Mishne, Zhengchao Wan, Yusu Wang, Sheng Yang |
| 2022 | ICML | Convergence of Invariant Graph Networks. | Chen Cai, Yusu Wang |
| 2022 | ICML | Weisfeiler-Lehman Meets Gromov-Wasserstein. | Samantha Chen, Sunhyuk Lim, Facundo Mmoli, Zhengchao Wan, Yusu Wang |
| 2022 | ICML | Generative Coarse-Graining of Molecular Conformations. | Wujie Wang, Minkai Xu, Chen Cai, Benjamin Kurt Miller, Tess E. Smidt, Yusu Wang, Jian Tang, Rafael Gmez-Bombarelli |
| 2021 | ICLR | Graph Coarsening with Neural Networks. | Chen Cai, Dingkang Wang, Yusu Wang |
| 2021 | ICLR | Topology-Aware Segmentation Using Discrete Morse Theory. | Xiaoling Hu, Yusu Wang, Fuxin Li, Dimitris Samaras, Chao Chen |
| 2020 | AISTATS | Persistence Enhanced Graph Neural Network. | Qi Zhao, Ze Ye, Chao Chen, Yusu Wang |
| 2019 | AISTATS | A Topological Regularizer for Classifiers via Persistent Homology. | Chao Chen, Xiuyan Ni, Qinxun Bai, Yusu Wang |
| 2019 | ESA | FPT-Algorithms for Computing Gromov-Hausdorff and Interleaving Distances Between Trees. | Elena Farahbakhsh Touli, Yusu Wang |
| 2019 | IJCAI | Heuristic Search for Homology Localization Problem and Its Application in Cardiac Trabeculae Reconstruction. | Xudong Zhang, Pengxiang Wu, Changhe Yuan, Yusu Wang, Dimitris N. Metaxas, Chao Chen |
| 2019 | ISAAC | Local Cliques in ER-Perturbed Random Geometric Graphs. | Matthew Kahle, Minghao Tian, Yusu Wang |
| 2018 | ALT | Unperturbed: spectral analysis beyond Davis-Kahan. | Justin Eldridge, Mikhail Belkin, Yusu Wang |
| 2018 | LATIN | Efficient Algorithms for Computing a Minimal Homology Basis. | Tamal K. Dey, Tianqi Li, Yusu Wang |
| 2017 | ICDE | Analyzing and Visualizing Scalar Fields on Graphs. | Yang Zhang, Yusu Wang, Srinivasan Parthasarathy |
| 2017 | ICML | Composing Tree Graphical Models with Persistent Homology Features for Clustering Mixed-Type Data. | Xiuyan Ni, Novi Quadrianto, Yusu Wang, Chao Chen |
| 2017 | KDD | Visualizing Attributed Graphs via Terrain Metaphor. | Yang Zhang, Yusu Wang, Srinivasan Parthasarathy |
| 2017 | SODA | Parameter-free Topology Inference and Sparsification for Data on Manifolds. | Tamal K. Dey, Zhe Dong, Yusu Wang |
| 2017 | SODA | Metric embeddings with outliers. | Anastasios Sidiropoulos, Dingkang Wang, Yusu Wang |
| 2016 | ESA | SimBa: An Efficient Tool for Approximating Rips-Filtration Persistence via Simplicial Batch-Collapse. | Tamal K. Dey, Dayu Shi, Yusu Wang |
| 2016 | SODA | Multiscale Mapper: Topological Summarization via Codomain Covers. | Tamal K. Dey, Facundo Mmoli, Yusu Wang |
| 2015 | COLT | Beyond Hartigan Consistency: Merge Distortion Metric for Hierarchical Clustering. | Justin Eldridge, Mikhail Belkin, Yusu Wang |
| 2015 | ISAAC | Computing the Gromov-Hausdorff Distance for Metric Trees. | Pankaj K. Agarwal, Kyle Fox, Abhinandan Nath, Anastasios Sidiropoulos, Yusu Wang |
| 2013 | SODA | Weighted Graph Laplace Operator under Topological Noise. | Tamal K. Dey, Pawas Ranjan, Yusu Wang |
| 2010 | COCOON | Tracking a Generator by Persistence. | Oleksiy Busaryev, Tamal K. Dey, Yusu Wang |
| 2010 | SODA | Convergence, Stability, and Discrete Approximation of Laplace Spectra. | Tamal K. Dey, Pawas Ranjan, Yusu Wang |
| 2009 | SODA | Constructing Laplace operator from point clouds in | Mikhail Belkin, Jian Sun, Yusu Wang |
| 2009 | SODA | Exact algorithms for partial curve matching via the Frchet distance. | Kevin Buchin, Maike Buchin, Yusu Wang |
| 2008 | MASS | Distributed roadmap aided routing in sensor networks. | Zizhan Zheng, Kai-Wei Fan, Prasun Sinha, Yusu Wang |
| 2006 | DCOSS | Distance-Sensitive Information Brokerage in Sensor Networks. | Stefan Funke, Leonidas J. Guibas, An Thanh Nguyen, Yusu Wang |
| 2006 | ESA | Frchet Distance for Curves, Revisited. | Boris Aronov, Sariel Har-Peled, Christian Knauer, Yusu Wang, Carola Wenk |
| 2006 | GMP | Towards Unsupervised Segmentation of Semi-rigid Low-Resolution Molecular Surfaces. | Yusu Wang, Leonidas J. Guibas |
| 2006 | ISAAC | Relations Between Two Common Types of Rectangular Tilings. | Yusu Wang |
| 2005 | ICCAD | Post-placement voltage island generation under performance requirement. | Huaizhi Wu, I-Min Liu, Martin D. F. Wong, Yusu Wang |
| 2005 | PSB | Coarse and Reliable Geometric Alignment for Protein Docking. | Yusu Wang, Pankaj K. Agarwal, P. Brown, Herbert Edelsbrunner, Johannes Rudolph |
| 2005 | SODA | Lower bound for sparse Euclidean spanners. | Pankaj K. Agarwal, Yusu Wang, Peng Yin |
| 2002 | ESA | Near-Linear Time Approximation Algorithms for Curve Simplification. | Pankaj K. Agarwal, Sariel Har-Peled, Nabil H. Mustafa, Yusu Wang |
| 2002 | SODA | Computing the writhing number of a polygonal knot. | Pankaj K. Agarwal, Herbert Edelsbrunner, Yusu Wang |