An On-line Occlusio-Culling Algorithm for FastWalkthrough in Urban Areas. - Yusu Wang 001; Pankaj K. Agarwal; Sariel Har-Peled (Eurographics (Short Presentations), 2001)

A 2D kinetic triangulation with near-quadratic topological changes. - Pankaj K. Agarwal; Yusu Wang 001; Hai Yu 005 (SCG, 2004)

Computing the Writhing Number of a Polygonal Knot. - Pankaj K. Agarwal; Herbert Edelsbrunner; Yusu Wang 001 (Discret. Comput. Geom., 2004)

Shape Fitting with Outliers. - Sariel Har-Peled; Yusu Wang 001 (SIAM J. Comput., 2004)

Post-placement voltage island generation under performance requirement. - Huaizhi Wu; I-Min Liu; Martin D. F. Wong; Yusu Wang 001 (ICCAD, 2005)

Coarse and Reliable Geometric Alignment for Protein Docking. - Yusu Wang 001; Pankaj K. Agarwal; P. Brown; Herbert Edelsbrunner; Johannes Rudolph (Pacific Symposium on Biocomputing, 2005)

Lower bound for sparse Euclidean spanners. - Pankaj K. Agarwal; Yusu Wang 001; Peng Yin (SODA, 2005)

Near-Linear Time Approximation Algorithms for Curve Simplification. - Pankaj K. Agarwal; Sariel Har-Peled; Nabil H. Mustafa; Yusu Wang 001 (Algorithmica, 2005)

Distance-Sensitive Information Brokerage in Sensor Networks. - Stefan Funke; Leonidas J. Guibas; An Thanh Nguyen; Yusu Wang 001 (DCOSS, 2006)

Fréchet Distance for Curves, Revisited. - Boris Aronov; Sariel Har-Peled; Christian Knauer; Yusu Wang 001; Carola Wenk (ESA, 2006)

Towards Unsupervised Segmentation of Semi-rigid Low-Resolution Molecular Surfaces. - Yusu Wang 001; Leonidas J. Guibas (GMP, 2006)

Segmenting molecular surfaces. - Vijay Natarajan; Yusu Wang 001; Peer-Timo Bremer; Valerio Pascucci; Bernd Hamann (Comput. Aided Geom. Des., 2006)

Extreme Elevation on a 2-Manifold. - Pankaj K. Agarwal; Herbert Edelsbrunner; John Harer; Yusu Wang 001 (Discret. Comput. Geom., 2006)

A Two-Dimensional Kinetic Triangulation with Near-Quadratic Topological Changes. - Pankaj K. Agarwal; Yusu Wang 001; Hai Yu 005 (Discret. Comput. Geom., 2006)

Toward Unsupervised Segmentation of Semi-Rigid Low-Resolution Molecular Surfaces. - Leonidas J. Guibas; Yusu Wang 001 (Algorithmica, 2007)

LFM-Pro: a tool for detecting significant local structural sites in proteins. - Ahmet Sacan; Ozgur Ozturk; Hakan Ferhatosmanoglu; Yusu Wang 001 (Bioinform., 2007)

Fast Molecular Shape Matching Using Contact Maps. - Pankaj K. Agarwal; Nabil H. Mustafa; Yusu Wang 001 (J. Comput. Biol., 2007)

Placement-Proximity-Based Voltage Island Grouping Under Performance Requirement. - Huaizhi Wu; Martin D. F. Wong; I-Min Liu; Yusu Wang 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2007)

Visual Analysis of Biomolecular Surfaces. - Vijay Natarajan; Patrice Koehl; Yusu Wang 001; Bernd Hamann (Visualization in Medicine and Life Sciences, 2008)

Discrete laplace operator on meshed surfaces. - Mikhail Belkin; Jian Sun 002; Yusu Wang 001 (SCG, 2008)

Distributed roadmap aided routing in sensor networks. - Zizhan Zheng; Kai-Wei Fan; Prasun Sinha; Yusu Wang 001 (MASS, 2008)

An enhanced partial order curve comparison algorithm and its application to analyzing protein folding trajectories. - Hong Sun; Hakan Ferhatosmanoglu; Motonori Ota; Yusu Wang 001 (BMC Bioinform., 2008)

Approximating nearest neighbor among triangles in convex position. - Yusu Wang 001 (Inf. Process. Lett., 2008)

Integral estimation from point cloud in d-dimensional space: a geometric view. - Chuanjiang Luo; Jian Sun 002; Yusu Wang 001 (SCG, 2009)

Constructing Laplace operator from point clouds in Rd. - Mikhail Belkin; Jian Sun 002; Yusu Wang 001 (SODA, 2009)

Exact algorithms for partial curve matching via the Fréchet distance. - Kevin Buchin; Maike Buchin; Yusu Wang 001 (SODA, 2009)

Approximating Gradients for Meshes and Point Clouds via Diffusion Metric. - Chuanjiang Luo; Issam Safa; Yusu Wang 001 (Comput. Graph. Forum, 2009)

Relations between Two Common Types of Rectangular Tilings. - Yusu Wang 001 (Int. J. Comput. Geom. Appl., 2009)

Approximating loops in a shortest homology basis from point data. - Tamal K. Dey; Jian Sun 002; Yusu Wang 001 (SCG, 2010)

A randomized O(m log m) time algorithm for computing Reeb graphs of arbitrary simplicial complexes. - William Harvey 001; Yusu Wang 001; Rephael Wenger (SCG, 2010)

Convergence, Stability, and Discrete Approximation of Laplace Spectra. - Tamal K. Dey; Pawas Ranjan; Yusu Wang 001 (SODA, 2010)

Persistent Heat Signature for Pose-oblivious Matching of Incomplete Models. - Tamal K. Dey; K. Li; Chuanjiang Luo; Pawas Ranjan; Issam Safa; Yusu Wang 001 (Comput. Graph. Forum, 2010)

Topological Landscape Ensembles for Visualization of Scalar-Valued Functions. - William Harvey 001; Yusu Wang 001 (Comput. Graph. Forum, 2010)

Tracking a Generator by Persistence. - Oleksiy Busaryev; Tamal K. Dey; Yusu Wang 001 (Discret. Math. Algorithms Appl., 2010)

Hausdorff distance under translation for points and balls. - Pankaj K. Agarwal; Sariel Har-Peled; Micha Sharir; Yusu Wang 001 (ACM Trans. Algorithms, 2010)

Data Skeletonization via Reeb Graphs. - Xiaoyin Ge; Issam Safa; Mikhail Belkin; Yusu Wang 001 (NIPS, 2011)

Annotating Simplices with a Homology Basis and Its Applications. - Oleksiy Busaryev; Sergio Cabello; Chao Chen 012; Tamal K. Dey; Yusu Wang 001 (SWAT, 2012)

Feature-aware streamline generation of planar vector fields via topological methods. - Chuanjiang Luo; Issam Safa; Yusu Wang 001 (Comput. Graph., 2012)

Feature-Preserving Reconstruction of Singular Surfaces. - Tamal Krishna Dey; Xiaoyin Ge; Qichao Que; Issam Safa; L. Wang; Yusu Wang 001 (Comput. Graph. Forum, 2012)

Graph Laplacians on Singular Manifolds: Toward understanding complex spaces: graph Laplacians on manifolds with singularities and boundaries - Mikhail Belkin; Qichao Que; Yusu Wang 001; Xueyuan Zhou (CoRR, 2012)

Toward Understanding Complex Spaces: Graph Laplacians on Manifolds with Singularities and Boundaries. - Mikhail Belkin; Qichao Que; Yusu Wang 001; Xueyuan Zhou (COLT, 2012)

Smolign: A Spatial Motifs-Based Protein Multiple Structural Alignment Method. - Hong Sun; Ahmet Sacan; Hakan Ferhatosmanoglu; Yusu Wang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

Eigen deformation of 3D models. - Tamal K. Dey; Pawas Ranjan; Yusu Wang 001 (Vis. Comput., 2012)

Weighted Graph Laplace Operator under Topological Noise. - Tamal K. Dey; Pawas Ranjan; Yusu Wang 001 (SODA, 2013)

Topological saliency. - Harish Doraiswamy; Nithin Shivashankar; Vijay Natarajan; Yusu Wang 001 (Comput. Graph., 2013)

Reeb Graphs: Approximation and Persistence. - Tamal K. Dey; Yusu Wang 001 (Discret. Comput. Geom., 2013)

Bilateral blue noise sampling. - Jiating Chen; Xiaoyin Ge; Li-Yi Wei; Bin Wang 021; Yusu Wang 001; Huamin Wang 001; Yun Fei; Kang-Lai Qian; Jun-Hai Yong; Wenping Wang 001 (ACM Trans. Graph., 2013)

An efficient computation of handle and tunnel loops via Reeb graphs. - Tamal K. Dey; Fengtao Fan; Yusu Wang 001 (ACM Trans. Graph., 2013)

Dimension Detection with Local Homology. - Tamal K. Dey; Fengtao Fan; Yusu Wang 001 (CCCG, 2014)

Measuring Distance between Reeb Graphs. - Ulrich Bauer; Xiaoyin Ge; Yusu Wang 001 (SoCG, 2014)

Computing Topological Persistence for Simplicial Maps. - Tamal K. Dey; Fengtao Fan; Yusu Wang 001 (SoCG, 2014)

The JS-graphs of Join and Split Trees. - Suyi Wang; Yusu Wang 001; Rephael Wenger (SoCG, 2014)

Learning with Fredholm Kernels. - Qichao Que; Mikhail Belkin; Yusu Wang 001 (NIPS, 2014)

Beyond Hartigan Consistency: Merge Distortion Metric for Hierarchical Clustering. - Justin Eldridge; Mikhail Belkin; Yusu Wang 001 (COLT, 2015)

Maintaining Contour Trees of Dynamic Terrains. - Pankaj K. Agarwal; Thomas Mølhave; Morten Revsbæk; Issam Safa; Yusu Wang 001; Jungwoo Yang (SoCG, 2015)

Strong Equivalence of the Interleaving and Functional Distortion Metrics for Reeb Graphs. - Ulrich Bauer; Elizabeth Munch; Yusu Wang 001 (SoCG, 2015)

Topological Analysis of Scalar Fields with Outliers. - Mickaël Buchet; Frédéric Chazal; Tamal K. Dey; Fengtao Fan; Steve Y. Oudot; Yusu Wang 001 (SoCG, 2015)

Comparing Graphs via Persistence Distortion. - Tamal K. Dey; Dayu Shi; Yusu Wang 001 (SoCG, 2015)

Efficient map reconstruction and augmentation via topological methods. - Suyi Wang; Yusu Wang 001; Yanjie Li (SIGSPATIAL/GIS, 2015)

Graph induced complex on point data. - Tamal K. Dey; Fengtao Fan; Yusu Wang 001 (Comput. Geom., 2015)

Mutiscale Mapper: A Framework for Topological Summarization of Data and Maps. - Tamal K. Dey; Facundo Mémoli; Yusu Wang 001 (CoRR, 2015)

Metric embedding with outliers. - Anastasios Sidiropoulos; Yusu Wang 001 (CoRR, 2015)

Graphons, mergeons, and so on! - Justin Eldridge; Mikhail Belkin; Yusu Wang 001 (NIPS, 2016)

Multiscale Mapper: Topological Summarization via Codomain Covers. - Tamal K. Dey; Facundo Mémoli; Yusu Wang 001 (SODA, 2016)

Cardiac Trabeculae Segmentation: an Application of Computational Topology (Multimedia Contribution). - Chao Chen 012; Dimitris N. Metaxas; Yusu Wang 001; Pengxiang Wu (SoCG, 2017)

Topological Analysis of Nerves, Reeb Spaces, Mappers, and Multiscale Mappers. - Tamal K. Dey; Facundo Mémoli; Yusu Wang 001 (SoCG, 2017)

A Quest to Unravel the Metric Structure Behind Perturbed Networks. - Srinivasan Parthasarathy 001; David Sivakoff; Minghao Tian; Yusu Wang 001 (SoCG, 2017)

Improved Road Network Reconstruction using Discrete Morse Theory. - Tamal K. Dey; Jiayuan Wang; Yusu Wang 001 (SIGSPATIAL/GIS, 2017)

Analyzing and Visualizing Scalar Fields on Graphs. - Yang Zhang; Yusu Wang 001; Srinivasan Parthasarathy 001 (ICDE, 2017)

Composing Tree Graphical Models with Persistent Homology Features for Clustering Mixed-Type Data. - Xiuyan Ni; Novi Quadrianto; Yusu Wang 001; Chao Chen 012 (ICML, 2017)

Optimal Topological Cycles and Their Application in Cardiac Trabeculae Restoration. - Pengxiang Wu; Chao Chen 012; Yusu Wang 001; Shaoting Zhang 001; Changhe Yuan; Zhen Qian; Dimitris N. Metaxas; Leon Axel (IPMI, 2017)

Visualizing Attributed Graphs via Terrain Metaphor. - Yang Zhang; Yusu Wang 001; Srinivasan Parthasarathy 001 (KDD, 2017)

Parameter-free Topology Inference and Sparsification for Data on Manifolds. - Tamal K. Dey; Zhe Dong; Yusu Wang 001 (SODA, 2017)

Metric embeddings with outliers. - Anastasios Sidiropoulos; Dingkang Wang; Yusu Wang 001 (SODA, 2017)

Unperturbed: spectral analysis beyond Davis-Kahan. - Justin Eldridge; Mikhail Belkin; Yusu Wang 001 (ALT, 2018)

Vietoris-Rips and Cech Complexes of Metric Gluings. - Michal Adamaszek; Henry Adams; Ellen Gasparovic; Maria Gommel; Emilie Purvine; Radmila Sazdanovic; Bei Wang 001; Yusu Wang 001; Lori Ziegelmeier (SoCG, 2018)

Graph Reconstruction by Discrete Morse Theory. - Tamal K. Dey; Jiayuan Wang; Yusu Wang 001 (SoCG, 2018)

Efficient Algorithms for Computing a Minimal Homology Basis. - Tamal K. Dey; Tianqi Li; Yusu Wang 001 (LATIN, 2018)

Uniformization and Density Adaptation for Point Cloud Data Via Graph Laplacian. - Chuanjiang Luo; Xiaoyin Ge; Yusu Wang 001 (Comput. Graph. Forum, 2018)

Topological Skeletonization and Tree-Summarization of Neurons Using Discrete Morse Theory. - Suyi Wang; Xu Li 003; Partha P. Mitra; Yusu Wang 001 (CoRR, 2018)

TopoReg: A Topological Regularizer for Classifiers. - Chao Chen 012; Xiuyan Ni; Qinxun Bai; Yusu Wang 001 (CoRR, 2018)

A simple yet effective baseline for non-attribute graph classification. - Chen Cai; Yusu Wang 001 (CoRR, 2018)

Declutter and resample: Towards parameter free denoising. - Mickaël Buchet; Tamal K. Dey; Jiayuan Wang; Yusu Wang 001 (J. Comput. Geom., 2018)

Computing the Gromov-Hausdorff Distance for Metric Trees. - Pankaj K. Agarwal; Kyle Fox; Abhinandan Nath; Anastasios Sidiropoulos; Yusu Wang 001 (ACM Trans. Algorithms, 2018)

A Topological Regularizer for Classifiers via Persistent Homology. - Chao Chen 012; Xiuyan Ni; Qinxun Bai; Yusu Wang 001 (AISTATS, 2019)

Road Network Reconstruction from satellite images with Machine Learning Supported by Topological Methods. - Tamal K. Dey; Jiayuan Wang; Yusu Wang 001 (SIGSPATIAL/GIS, 2019)

Heuristic Search for Homology Localization Problem and Its Application in Cardiac Trabeculae Reconstruction. - Xudong Zhang 004; Pengxiang Wu; Changhe Yuan; Yusu Wang 001; Dimitris N. Metaxas; Chao Chen 012 (IJCAI, 2019)

Local Cliques in ER-Perturbed Random Geometric Graphs. - Matthew Kahle; Minghao Tian; Yusu Wang 001 (ISAAC, 2019)

Learning metrics for persistence-based summaries and applications for graph classification. - Qi Zhao 007; Yusu Wang 001 (NeurIPS, 2019)

Local Versus Global Distances for Zigzag Persistence Modules. - Ellen Gasparovic; Maria Gommel; Emilie Purvine; Radmila Sazdanovic; Bei Wang 001; Yusu Wang 001; Lori Ziegelmeier (CoRR, 2019)

Intrinsic Interleaving Distance for Merge Trees. - Ellen Gasparovic; Elizabeth Munch; Steve Oudot; Katharine Turner; Bei Wang 001; Yusu Wang 001 (CoRR, 2019)

A limit theorem for the 1st Betti number of layer-1 subgraphs in random graphs. - Minghao Tian; Yusu Wang 001 (CoRR, 2019)

SimBa: An Efficient Tool for Approximating Rips-filtration Persistence via Simplicial Batch Collapse. - Tamal K. Dey; Dayu Shi; Yusu Wang 001 (ACM J. Exp. Algorithmics, 2019)

Measuring similarity between curves on 2-manifolds via homotopy area. - Erin Wolf Chambers; Yusu Wang 001 (J. Comput. Geom., 2019)

The relationship between the intrinsic Čech and persistence distortion distances for metric graphs. - Ellen Gasparovic; Maria Gommel; Emilie Purvine; Radmila Sazdanovic; Bei Wang 001; Yusu Wang 001; Lori Ziegelmeier (J. Comput. Geom., 2019)

Persistence Enhanced Graph Neural Network. - Qi Zhao 007; Ze Ye; Chao Chen 012; Yusu Wang 001 (AISTATS, 2020)

Understanding the Power of Persistence Pairing via Permutation Test. - Chen Cai; Yusu Wang 001 (CoRR, 2020)

Detection and skeletonization of single neurons and tracer injections using topological methods. - Dingkang Wang; Lucas Magee; Bing-Xing Huo; Samik Banerjee; Xu Li 003; Jaikishan Jayakumar; Meng-Kuan Lin; Keerthi Ram; Suyi Wang; Yusu Wang 001; Partha P. Mitra (CoRR, 2020)

A Note on Over-Smoothing for Graph Neural Networks. - Chen Cai; Yusu Wang 001 (CoRR, 2020)

Ordinally Consensus Subset over Multiple Metrics. - Dingkang Wang; Yusu Wang 001 (CoRR, 2020)

Guest Editors' Foreword. - Gill Barequet; Yusu Wang 001 (Discret. Comput. Geom., 2020)

On homotopy types of Vietoris-Rips complexes of metric gluings. - Michal Adamaszek; Henry Adams; Ellen Gasparovic; Maria Gommel; Emilie Purvine; Radmila Sazdanovic; Bei Wang 001; Yusu Wang 001; Lori Ziegelmeier (J. Appl. Comput. Topol., 2020)

An Improved Cost Function for Hierarchical Cluster Trees. - Dingkang Wang; Yusu Wang 001 (J. Comput. Geom., 2020)

Semantic segmentation of microscopic neuroanatomical data by combining topological priors with encoder-decoder deep networks. - Samik Banerjee; Lucas Magee; Dingkang Wang; Xu Li 003; Bing-Xing Huo; Jaikishan Jayakumar; Katherine Matho; Meng-Kuan Lin; Keerthi Ram; Mohanasankar Sivaprakasam; Z. Josh Huang; Yusu Wang 001; et al. (Nat. Mach. Intell., 2020)

Map-Matching Using Shortest Paths. - Erin W. Chambers; Brittany Terese Fasy; Yusu Wang 001; Carola Wenk (ACM Trans. Spatial Algorithms Syst., 2020)

A Structural Average of Labeled Merge Trees for Uncertainty Visualization. - Lin Yan 003; Yusu Wang 001; Elizabeth Munch; Ellen Gasparovic; Bei Wang 001 (IEEE Trans. Vis. Comput. Graph., 2020)

Graph Coarsening with Neural Networks. - Chen Cai; Dingkang Wang; Yusu Wang 001 (ICLR, 2021)

Topology-Aware Segmentation Using Discrete Morse Theory. - Xiaoling Hu 002; Yusu Wang 001; Fuxin Li; Dimitris Samaras; Chao Chen 012 (ICLR, 2021)

NN-Baker: A Neural-network Infused Algorithmic Framework for Optimization Problems on Geometric Intersection Graphs. - Evan McCarty; Qi Zhao 007; Anastasios Sidiropoulos; Yusu Wang 001 (NeurIPS, 2021)

Equivariant geometric learning for digital rock physics: estimating formation factor and effective permeability tensors from Morse graph. - Chen Cai; Nikolaos Vlassis; Lucas Magee; Ran Ma; Zeyu Xiong; Bahador Bahmani; Teng-Fong Wong; Yusu Wang 001; WaiChing Sun (CoRR, 2021)

Elder-Rule-Staircodes for Augmented Metric Spaces. - Chen Cai; Woojin Kim 001; Facundo Mémoli; Yusu Wang 001 (SIAM J. Appl. Algebra Geom., 2021)

Convergence of Invariant Graph Networks. - Chen Cai; Yusu Wang 001 (ICML, 2022)

Weisfeiler-Lehman Meets Gromov-Wasserstein. - Samantha Chen 001; Sunhyuk Lim; Facundo Mémoli; Zhengchao Wan; Yusu Wang 001 (ICML, 2022)

Generative Coarse-Graining of Molecular Conformations. - Wujie Wang; Minkai Xu; Chen Cai; Benjamin Kurt Miller; Tess E. Smidt; Yusu Wang 001; Jian Tang 005; Rafael Gómez-Bombarelli (ICML, 2022)

Neural Approximation of Graph Topological Features. - Zuoyu Yan; Tengfei Ma 001; Liangcai Gao; Zhi Tang 001; Yusu Wang 001; Chao Chen 012 (NeurIPS, 2022)

Neural Approximation of Extended Persistent Homology on Graphs. - Zuoyu Yan; Tengfei Ma 001; Liangcai Gao; Zhi Tang 001; Yusu Wang 001; Chao Chen 012 (CoRR, 2022)

On the Convergence of Optimizing Persistent-Homology-Based Losses. - Yikai Zhang 003; Jiachen Yao; Yusu Wang 001; Chao Chen 012 (CoRR, 2022)

An Efficient Algorithm for 1-Dimensional (Persistent) Path Homology. - Tamal K. Dey; Tianqi Li; Yusu Wang 001 (Discret. Comput. Geom., 2022)

Graph skeletonization of high-dimensional point cloud data via topological method. - Lucas Magee; Yusu Wang 001 (J. Comput. Geom., 2022)

FPT-Algorithms for computing Gromov-Hausdorff and interleaving distances between trees. - Elena Farahbakhsh Touli; Yusu Wang 001 (J. Comput. Geom., 2022)

Persistent Laplacians: Properties, Algorithms and Implications. - Facundo Mémoli; Zhengchao Wan; Yusu Wang 001 (SIAM J. Math. Data Sci., 2022)

Implicit Graphon Neural Representation. - Xinyue Xia; Gal Mishne; Yusu Wang 001 (AISTATS, 2023)

Minimum Monotone Tree Decomposition of Density Functions Defined on Graphs. - Lucas Magee; Yusu Wang 001 (COCOA (1), 2023)

A Generalization of the Persistent Laplacian to Simplicial Maps. - Aziz Burak Gülen; Facundo Mémoli; Zhengchao Wan; Yusu Wang 001 (SoCG, 2023)

Understanding Oversquashing in GNNs through the Lens of Effective Resistance. - Mitchell Black 002; Zhengchao Wan; Amir Nayyeri; Yusu Wang 001 (ICML, 2023)

On the Connection Between MPNN and Graph Transformer. - Chen Cai; Truong Son Hy; Rose Yu; Yusu Wang 001 (ICML, 2023)

The Numerical Stability of Hyperbolic Representation Learning. - Gal Mishne; Zhengchao Wan; Yusu Wang 001; Sheng Yang 004 (ICML, 2023)

Cycle Invariant Positional Encoding for Graph Representation Learning. - Zuoyu Yan; Tengfei Ma 001; Liangcai Gao; Zhi Tang 001; Chao Chen 012; Yusu Wang 001 (LoG, 2023)

Neural approximation of Wasserstein distance via a universal architecture for symmetric and factorwise group invariant functions. - Samantha Chen 001; Yusu Wang 001 (NeurIPS, 2023)

The Weisfeiler-Lehman Distance: Reinterpretation and Connection with GNNs. - Samantha Chen 001; Sunhyuk Lim; Facundo Mémoli; Zhengchao Wan; Yusu Wang 001 (TAG-ML, 2023)

On the clique number of noisy random geometric graphs. - Matthew Kahle; Minghao Tian; Yusu Wang 001 (Random Struct. Algorithms, 2023)

Learning Ultrametric Trees for Optimal Transport Regression. - Samantha Chen 001; Puoya Tabaghi; Yusu Wang 001 (AAAI, 2024)

NN-Steiner: A Mixed Neural-Algorithmic Approach for the Rectilinear Steiner Minimum Tree Problem. - Andrew B. Kahng; Robert R. Nerem; Yusu Wang 001; Chien-Yi Yang (AAAI, 2024)

DE-HNN: An effective neural model for Circuit Netlist representation. - Zhishang Luo; Truong Son Hy; Puoya Tabaghi; Michaël Defferrard; Elahe Rezaei; Ryan Carey; W. Rhett Davis; Rajeev Jain; Yusu Wang 001 (AISTATS, 2024)

On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers. - Cai Zhou; Rose Yu; Yusu Wang 001 (AISTATS, 2024)

Distances for Markov Chains, and Their Differentiation. - Tristan Brugère; Zhengchao Wan; Yusu Wang 001 (ALT, 2024)

Universal Representation of Permutation-Invariant Functions on Vectors and Tensors. - Puoya Tabaghi; Yusu Wang 001 (ALT, 2024)

Comparing Graph Transformers via Positional Encodings. - Mitchell Black 002; Zhengchao Wan; Gal Mishne; Amir Nayyeri; Yusu Wang 001 (ICML, 2024)

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; et al. (ICML, 2024)

The TILOS AI Institute: Integrating optimization and AI for chip design, networks, and robotics. - Andrew B. Kahng; Arya Mazumdar; Jodi Reeves; Yusu Wang 001 (AI Mag., 2024)

Position Paper: Challenges and Opportunities in Topological Deep Learning. - Theodore Papamarkou; Tolga Birdal; Michael M. Bronstein; Gunnar E. Carlsson; Justin Curry; Yue Gao; Mustafa Hajij; Roland Kwitt; Pietro Liò; Paolo Di Lorenzo; Vasileios Maroulas; Nina Miolane; et al. (CoRR, 2024)

DE-HNN: An effective neural model for Circuit Netlist representation. - Zhishang Luo; Truong Son Hy; Puoya Tabaghi; Donghyeon Koh; Michaël Defferrard; Elahe Rezaei; Ryan Carey; W. Rhett Davis; Rajeev Jain; Yusu Wang 001 (CoRR, 2024)

Differentiable Extensions with Rounding Guarantees for Combinatorial Optimization over Permutations. - Robert R. Nerem; Zhishang Luo; Akbar Rafiey; Yusu Wang 001 (CoRR, 2024)

Elucidating Flow Matching ODE Dynamics with respect to Data Geometries. - Gal Mishne; Zhengchao Wan; Qingsong Wang; Yusu Wang 001 (CoRR, 2024)

Applied and Combinatorial Topology (Dagstuhl Seminar 24092). - Pawel Dlotko; Dmitry Feichtner-Kozlov; Anastasios Stefanou; Yusu Wang 001; Jan F. Senge (Dagstuhl Reports, 2024)

Random Walks, Conductance, and Resistance for the Connection Graph Laplacian. - Alexander Cloninger; Gal Mishne; Andreas Oslandsbotn; Sawyer Jack Robertson; Zhengchao Wan; Yusu Wang 001 (SIAM J. Matrix Anal. Appl., 2024)

Principal Component Analysis in Space Forms. - Puoya Tabaghi; Michael Khanzadeh; Yusu Wang 001; Siavash Mirarab (IEEE Trans. Signal Process., 2024)

Approximation algorithms for 1-Wasserstein distance between persistence diagrams. - Samantha Chen 001; Yusu Wang 001 (Comput. Geom., 2025)

Enhancing Graph Representation Learning with Localized Topological Features. - Zuoyu Yan; Qi Zhao 007; Ze Ye; Tengfei Ma 001; Liangcai Gao; Zhi Tang 001; Yusu Wang 001; Chao Chen 012 (CoRR, 2025)

Graph neural networks extrapolate out-of-distribution for shortest paths. - Robert R. Nerem; Samantha Chen 001; Sanjoy Dasgupta; Yusu Wang 001 (CoRR, 2025)

Skeletonization of neuronal processes using Discrete Morse techniques from computational topology. - Samik Banerjee; Caleb Stam; Daniel J. Tward; Steven Savoia; Yusu Wang 001; Partha P. Mitra (CoRR, 2025)

Explaining GNN Explanations with Edge Gradients. - Jesse He; Akbar Rafiey; Gal Mishne; Yusu Wang 001 (CoRR, 2025)