Guibas Lab

Professor Guibas heads the Geometric Computation group in the Computer Science Department of Stanford University. He is a member and past acting director of the Stanford Artificial Intelligence Laboratory and a member of the Computer Graphics Laboratory, the Institute for Computational and Mathematical Engineering (iCME) and the Bio-X program. He works on algorithms for sensing, modeling, reasoning, rendering, and acting on the physical world. His interests span computer vision, machine learning, computer graphics, geometric modeling and processing, geometric and topological data analysis, sensor networks, robotics, and discrete algorithms -- all areas in which he has published and lectured extensively. Examples of current and recent activities include:

latent representations and data structures for spatio-temporal data

ad-hoc sensor and communication networks

randomized geometric algorithms, rounding and approximating geometric structures

obtaining actionable information from visual data

machine learning with irregular geometric structures such as point clouds and meshes

Monte-Carlo algorithms for global illumination and motion planning

organizing and searching libraries of 3D shapes and images

physical simulations involving deformations and contacts

estimation of mappings between 3D shapes, or between shapes and images

functional maps and unctional maps networks for interlinking shape and image collections

3D shape and scene synthesis

the development of the ShapeNet annotated 3D model repository

analysis of GPS traces and other mobility data

Leonidas Guibas obtained his Ph.D. from Stanford in 1976, under the supervision of Donald Knuth. His main subsequent employers were Xerox PARC, MIT, and DEC/SRC. He has been at Stanford since 1984 as Professor of Computer Science. Professor Guibas has graduated over 40 Ph.D. students, many of whom are well-known in computational geometry, in computer graphics, in computer vision, in theoretical computer science, and in ad hoc and sensor networks. At Stanford he has developed new courses in algorithms and data structures, geometric modeling and processing, geometric algorithms, geometric and topological data analysis, sensor networks, and computational biology.

Professor Guibas is a member of the US National Academy of Engineering and the American Academy of Arts and Sciences, an ACM Fellow, an IEEE Fellow and winner of the ACM Allen Newell award, the ICCV Helmholtz prize, and a DoD Vennevar Bush Faculty Fellowship.

Books

F. Zhao and L. Guibas. Wireless Sensor Networks: An Information Processing Approach. Elsevier/Morgan-Kaufmann, 2004.

Publications A: Shapes, Images, Videos, Point Clouds

	Bokui Shen, Zhenyu Jiang, Christopher Choy, Leonidas J. Guibas, Silvio Savarese, Anima Anandkumar, Yuke Zhu. ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation. Robotics: Science and Systems (RSS), 2022. Best Student Paper Award Nominee.
	E. R. Chan, C. Z. Lin, M. A. Chan, K. Nagano et al., Efficient Geometry-aware 3D Generative Adversarial Networks, CVPR 2022 (Oral)
	Y. Shen, Y. Yang, M. Yan, H. Wang, Y. Zheng, L. Guibas. Domain Adaptation on Point Clouds via Geometry-Aware Implicits. IEEE Computer Vision and Pattern Recognition (CVPR), 2022.
	R.Sajnani, A.Poulenard, J.Jain, R.Dua, L.Guibas, and S.Sridhar, ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes, arXiv preprint arXiv:2201.07788, (2022).
	Mikaela Angelina Uy, Yen-yu Chang, Minhyuk Sung, Purvi Goel, Joseph Lambourne, Tolga Birdal and Leonidas J. Guibas, Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinders, Conference on Computer Vision and Pattern Recognition (CVPR), 2022
	Yanchao Yang, Hanxiang Ren, He Wang, Bokui Shen, Qingnan Fan, Youyi Zheng, C. Karen Liu, Leonidas J. Guibas. ADeLA: Automatic Dense Labeling with Attention for Viewpoint Adaptation in Semantic Segmentation. CVPR 2022, Oral
	Davis Rempe, Jonah Philion, Leonidas J. Guibas, Sanja Fidler, Or Litany, Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior, Conference on Computer Vision and Pattern Recognition (CVPR), 2022
	Jie Yang, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas and Lin Gao, DSG-Net: Learning Disentangled Structure and Geometry for 3D Shape Generation, ACM Transactions on Graphics (ToG) 2022 (presented at SIGGRAPH 2022)
	Juil Koo, Ian Huang, Panos Achlioptas, Leonidas J. Guibas, Minhyuk Sung; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, pp. 16505-16514
	Yining Hong, Kaichun Mo, Li Yi, Leonidas J. Guibas, Antonio Torralba, Joshua Tenenbaum and Chuang Gan, Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction, The Conference on Computer Vision and Pattern Recognition (CVPR) 2022
	Chuanyu Pan, Yanchao Yang, Kaichun Mo, Yueqi Duan and Leonidas J. Guibas, Object Pursuit: Building a Space of Objects via Discriminative Weight Generation, International Conference on Learning Representations (ICLR) 2022
	Y. Shen, Y. Yang, Y. Zheng, C. K. Liu, L. J. Guibas, DCL: Differential Contrastive Learning for Geometry-Aware Depth Synthesis, IEEE Robotics and Automation Letters, 2022, 4845-4852
	Ruihai Wu, Yan Zhao, Kaichun Mo*, Zizheng Guo, Yian Wang, Tianhao Wu, Qingnan Fan, Xuelin Chen, Leonidas J. Guibas and Hao Dong, VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects, International Conference on Learning Representations (ICLR) 2022
	Qi Li, Kaichun Mo, Yanchao Yang, Hang Zhao and Leonidas J. Guibas, IFR-Explore: Learning Inter-object Functional Relationships in 3D Indoor Scenes, International Conference on Learning Representations (ICLR) 2022
	Deng, C., Litany, O., Duan, Y., Poulenard, A., Tagliasacchi, A., & Guibas, L. (2021). Vector Neurons: A General Framework for SO(3)-Equivariant Networks. International Conference on Computer Vision (ICCV), 2021 (Oral).
	Davis Rempe, Tolga Birdal, Aaron Hertzmann, Jimei Yang, Srinath Sridhar, Leonidas J. Guibas, HuMoR: 3D Human Motion Model for Robust Pose Estimation, International Conference on Computer Vision (ICCV), 2021 (Oral)
	Kaichun Mo, Leonidas J. Guibas, Mustafa Mukadam, Abhinav Gupta and Shubham Tulsiani, Where2Act: From Pixels to Actions for Articulated 3D Objects, International Conference on Computer Vision (ICCV) 2021
	Kaichun Mo, Yuzhe Qin, Fanbo Xiang, Hao Su and Leonidas J. Guibas, O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning, Conference on Robot Learning (CoRL) 2021
	Ali Kashefi, Davis Rempe, Leonidas J. Guibas, A point-cloud deep learning framework for prediction of fluid flow fields on irregular geometries, Physics of Fluids 33:2, 2021
	Xiaolong Li, Yijia Weng, Li Yi, Leonidas J. Guibas, A. Lynn Abbott, Shuran Song, He Wang. Leveraging SE(3) Equivariance for Self-Supervised Category-Level Object Pose Estimation. Neural Information Processing Systems (NeurIPS) 2021
	Yijia Weng, He Wang, Qiang Zhou, Yuzhe Qin, Yueqi Duan, Qingnan Fan, Baoquan Chen, Hao Su, Leonidas J. Guibas. CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds. International Conference on Computer Vision (ICCV) 2021
	P. Achlioptas, M. Ovsjanikov, K. Haydarov, M. Elhoseiny and L. Guibas, ArtEmis: Affective Language for Visual Art, Conference on Computer Vision and Pattern Recognition (CVPR), 2021 (Oral).
	H. Wang, Y. Cong, O. Litany, Y. Gao, L. Guibas, 3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection, 3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021.
	S. Dong, Q. Fan, H. Wang, J. Shi, L. Yi, T. Funkhouser, B. Chen, and L. Guibas, Robust Neural Routing Through Space Partitions for Camera Relocalization in Dynamic Indoor Environments, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021 Oral.
	Mikaela Angelina Uy, Vladimir G. Kim, Minhyuk Sung, Noam Aigerman, Siddhartha Chaudhuri and Leonidas J. Guibas. Joint Learning of 3D Shape Retrieval and Deformation. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021
	Gojcic, Z., Litany, O., Wieser, A., Guibas, L. J., & Birdal, T. Weakly Supervised Learning of Rigid 3D Scene Flow. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2021) pp. 5692-5703.
	Huang, J., Wang, H., Birdal, T., Sung, M., Arrigoni, F., Hu, S. M., & Guibas, L. J. Multibodysync: Multi-body segmentation and motion estimation via 3d scan synchronization. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2021) pp. 7108-7118.
	Birdal, T., Golyanik, V., Theobalt, C., & Guibas, L. J. Quantum Permutation Synchronization. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2021) pp. 13122-13133.
	Poulenard, A., & Guibas, L. J. (2021). A Functional Approach to Rotation Equivariant Non-Linearities for Tensor Field Networks. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 13174-13183).
	M. Sung, J. Zhenyu, P. Achlioptas, N. Mitra and L. Guibas, DeformSyncNet: Deformation Transfer via Synchronized Shape Deformation Spaces, SIGGRAPH Asia, 2020.
	Davis Rempe, Tolga Birdal, Yongheng Zhao, Zan Gojcic, Srinath Sridhar, Leonidas J. Guibas, CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations, Advances in Neural Information Processing Systems (NeurIPS), 2020 (Spotlight).
	Chiyu "Max" Jiang, Jingwei Huang, Andrea Tagliasacchi, Leonidas Guibas. ShapeFlow: Learnable Deformations Among 3D Shapes. Advances in Neural Information Processing Systems (NeurIPS), 2020
	Jialei Huang, Guanqi Zhan, Qingnan Fan, Kaichun Mo, Lin Shao, Baoquan Chen, Leonidas J. Guibas and Hao Dong, Generative 3D Part Assembly via Dynamic Graph Learning, NeurIPS 2020
	P. Achlioptas, A. Abdelreheem, F. Xia, M. Elhoseiny and L. Guibas, ReferIt3D: Neural Listeners for Fine-Grained 3D Object Identification in Real-World Scenes, European Conference Computer Vision (ECCV), 2020 (Oral).
	Zhao, Y., Birdal, T., Lenssen, J. E., Menegatti, E., Guibas, L., & Tombari, F. (2019). Quaternion Equivariant Capsule Networks for 3D Point Clouds. European Conference on Computer Vision (ECCV), 2020.
	Pix2Surf: Learning Parametric 3D Surface Models of Objects from Images Jiahui Lei, Srinath Sridhar, Paul Guerrero, Minhyuk Sung, Niloy Mitra, Leonidas J. Guibas. European Conference on Computer Vision (ECCV) 2020.
	Mikaela Angelina Uy, Jingwei Huang, Minhyuk Sung, Tolga Birdal and Leonidas J. Guibas, Deformation-Aware 3D Model Embedding and Retrieval, European Conference on Computer Vision (ECCV) 2020
	Davis Rempe, Leonidas J. Guibas, Aaron Hertzmann, Bryan Russell, Ruben Villegas, and Jimei Yang, Contact and Human Dynamics from Monocular Video, European Conference on Computer Vision (ECCV), 2020 (Spotlight).
	Kaichun Mo, He Wang, Xinchen Yan, and Leonidas J. Guibas, PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions, European Conference on Computer Vision (ECCV) 2020
	Mai Bui, Tolga Birdal, Haowen Deng, Shadi Albarqouni, Leonidas Guibas, Slobodan Ilic, Nassir Navab. 6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference. European Conference on Computer Vision (ECCV), 2020
	Yichen Li, Kaichun Mo, Lin Shao, Minhyuk Sung, and Leonidas J. Guibas, Learning 3D Part Assembly from a Single Image, European Conference on Computer Vision (ECCV) 2020
	Amir R. Zamir, Alexander Sax, Nikhil Cheerla, Rohan Suri, Zhangjie Cao, Jitendra Malik, Leonidas J. Guibas. Robust Learning Through Cross-Task Consistency. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, (Oral).
	Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri, Li Yi, Leonidas J. Guibas, Hao Zhang. AdaCoSeg: Adaptive Shape Co-Segmentation With Group Consistency Loss. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 (Oral).
	C. Qi, X. Chen, O. Litany, and L. Guibas, ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
	Fanbo Xiang, Yuzhe Qin, Kaichun Mo, Yikuan Xia, Hao Zhu, Fangchen Liu, Minghua Liu, Hanxiao Jiang, Yifu Yuan, He Wang, Li Yi, Angel X.Chang, Leonidas J. Guibas and Hao Su, SAPIEN: A SimulAted Part-based Interactive ENvironment. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 (Oral)
	Kaichun Mo, Paul Guerrero, Li Yi, Hao Su, Peter Wonka, Niloy Mitra, and Leonidas J. Guibas, StructEdit: Learning Structural Shape Variations, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
	Birdal, Tolga, Michael Arbel, Umut Simsekli, and Leonidas J. Guibas, Synchronizing Probability Measures on Rotations via Optimal Transport, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020, pp. 1569-1579.
	Zan Gojcic, Zhou Caifa, Jan D. Wegner, Leonidas J. Guibas, and Tolga Birdal. Learning multiview 3D point cloud registration. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020. pp. 1759-1769.
	J. Huang, J. Thies, A. Dai, A. Kundu, C. Jiang, L. Guibas, M. Niessner, and T. Funkhouser, Adversarial texture optimization from RGB-D scans, Computer Vision and Pattern Recognition (CVPR) 2020.
	Xiaolong Li, He Wang, Li Yi, Leonidas J. Guibas, A. Lynn Abbott, and Shuran Song. Category-Level Articulated Object Pose Estimation. Computer Vision and Pattern Recognition (CVPR) 2020, Oral.
	Davis Rempe, Srinath Sridhar, He Wang, and Leonidas J. Guibas, Predicting the Physical Dynamics of Unseen 3D Objects, IEEE Winter Conference on Applications of Computer Vision (WACV), 2020.
	Srinath Sridhar, Davis Rempe, Julien Valentin, Sofien Bouaziz, Leonidas J. Guibas, Multiview Aggregation for Learning Category-Specific Shape Reconstruction, Conference on Neural Information Processing Systems (NeurIPS) 2019.
	Kaichun Mo, Paul Guerrero, Li Yi, Hao Su, Peter Wonka, Niloy Mitra, and Leonidas J. Guibas, StructureNet: Hierarchical Graph Networks for 3D Shape Generation, Siggraph Asia 2019
	Huang, J., Zhou, Y., Funkhouser, T., & Guibas, L. (2019). FrameNet: Learning Local Canonical Frames of 3D Surfaces from a Single RGB Image. International Conference on Computer Vision (ICCV), 2019.
	C.Qi, O.Litany, K.He and L.Guibas, Deep Hough Voting for 3D Object Detection in Point Clouds, ICCV 2019. Nominated for best paper award
	Hugues Thomas, Charles R. Qi, Jean-Emmanuel Deschaud, Beatriz Marcotegui, François Goulette, Leonidas J. Guibas. KPConv: Flexible and Deformable Convolution for Point Clouds. Int. Conf. Computer Vision (ICCV), 2019.
	Manuel Dahnert, Angela Dai, Leonidas Guibas, Matthias Niessner. Joint Embedding of 3D Scan and CAD Objects. Int. Conf. Computer Vision (ICCV), 2019.
	Bokui Shen, Danfei Xu, Yuke Zhu, Leonidas J. Guibas, Li Fei-Fei, Silvio Savarese. Situational Fusion of Visual Representation for Visual Navigation. Int. Conf. Computer Vision (ICCV), 2019.
	P. Achlioptas, J. Fan, R. Hawkins, N. Goodman, and L. Guibas, ShapeGlot: Learning Language for Shape Differentiation, IEEE International Conference on Computer Vision (ICCV), 2019.
	A. Dubrovina, F. Xia, P. Achlioptas, M. Shalah, R. Groscot, and L. Guibas, Composite Shape Modeling via Latent Space Factorization, IEEE International Conference on Computer Vision (ICCV), 2019.
	R. Huang, MJ. Rakotosaona, P. Achlioptas, L. Guibas and M. Ovsjanikov, OperatorNet: Recovering 3D Shapes From Difference Operators, IEEE International Conference on Computer Vision (ICCV), 2019.
	Kaichun Mo, Shilin Zhu, Angel Chang, Li Yi, Subarna Tripathi, Leonidas Guibas, and Hao Su, PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding, CVPR 2019
	Huang, J., Zhang, H., Yi, L., Funkhouser, T., Nießner, M., & Guibas, L. (2018). TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes. Computer Vision and Pattern Recognition (CVPR), 2019
	L. Yi, W. Zhao, H. Wang, M. Sung, L. Guibas, GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2019
	Lingxiao Li, Minhyuk Sung, Anastasia Dubrovina, Li Yi, and Leonidas Guibas, Supervised Fitting of Geometric Primitives to 3D Point Clouds, CVPR 2019 (Oral) (* equal contribution)
	R. Huang, P. Achlioptas, L. Guibas and M. Ovsjanikov, Limit Shapes: A Tool for Understanding Shape Differences and Variability in 3D Model Collections, Eurographics Symp. on Geometry Processing, (SGP), 2019.
	He Wang, Srinath Sridhar, Jingwei Huang, Julien Valentin, Shuran Song, Leonidas J. Guibas. Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation. Computer Vision and Pattern Recognition (CVPR) 2019 (Oral).
	He Wang, Soeren Pirk, Ersin Yumer, Vladimir Kim, Ozan Sener, Srinath Sridhar, Leonidas J. Guibas. Learning a Generative Model for Multi-Step Human-Object Interactions from Videos. Eurographics 2019. (* joint first authors) [Best Paper Honorable Mention]
	P. Achlioptas, O. Diamanti, I. Mitliagkas and L. Guibas, Learning Representations and Generative Models for 3D Point Clouds. 35th International Conference on Machine Learning, (ICML), 2018.
	L. Yi, H. Huang, D. Liu, K. Evangelos, H. Su, and L. Guibas, Deep part induction from articulated object pairs, SIGGRAPH Asia 2018 Technical Papers. ACM, 2018: 209.
	Minhyuk Sung, Hao Su, Ronald Yu, and Leonidas Guibas, Deep Functional Dictionaries: Learning Consistent Semantic Structures on 3D Models from Functions, NeurIPS 2018
	Amir R. Zamir, Bokui Shen, Alexander Sax, Leonidas J. Guibas, Jitendra Malik, Silvio Savarese. Taskonomy: Disentangling Task Transfer Learning. CVPR 2018. Best Paper Award.
	V.Ganapathi-Subramanian, O.Diamanti, L.Guibas, Modular Latent Spaces for Shape Correspondences, Computer Graphics Forum, Volume 37 (2018), Number 5
	V. Ganapathi-Subramanian, O. Diamanti, S. Pirk, C. Tang, M. Nießner, L.Guibas, Parsing Geometry Using Structure-Aware Shape Templates, IEEE Explore/International Conference in 3D Vision, 2018).
	Minhyuk Sung, Anastasia Dubrovina, Vladimir G. Kim, and Leonidas Guibas, Learning Fuzzy Set Representations of Partial Shapes on Dual Embedding Spaces, SGP 2018 (Symposium on Geometry Processing)
	Y. Yoshiyasu, E. Yoshida, S. Pirk, and L. J. Guibas, 3D Convolutional Neural Networks by Modal Fusion, IEEE International Conference on Image Processing (ICIP), 2017.
	Minhyuk Sung, Hao Su, Vladimir G. Kim, Siddhartha Chaudhuri, and Leonidas Guibas, ComplementMe: Weakly-Supervised Component Suggestions for 3D Modeling, SIGGRAPH Asia 2017.
	Charles R. Qi, Li Yi, Hao Su, and Leonidas J. Guibas. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space. Neural Information Processing Systems (NIPS) 2017.
	Haoqiang Fan, Hao Su, Leonidas J. Guibas. A Point Set Generation Network for 3D Object Reconstruction From a Single Image. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
	S. Pirk, O. Diamanti, B. Thibert, D. Xu, and L. J. Guibas, Shape-aware Spatio-temporal Descriptors for Interaction Classification, IEEE International Conference on Image Processing (ICIP), 2017.
	Charles R. Qi, Hao Su, Kaichun Mo, and Leonidas J. Guibas. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017, Honolulu USA.
	S. Pirk, V. Krs, K. Hu, S. D. Rajasekaran, H. Kang, B. Benes, Y. Yoshiyasu, L. J. Guibas, Understanding and Exploiting Object Interaction Landscapes, ACM Transactions on Graphics, 2017
	Y. Li, S. Pirk, H. Su, C. R. Qi, L. J. Guibas, FPNN: Field Probing Neural Networks for 3D Data, Neural Information Processing Systems (NIPS 2016)
	T. Y. Wang, H. Su, Q. Huang, J. Huang, L. Guibas, N. Mitra, Unsupervised Texture Transfer from Images to Model Collections, ACM Transactions of Graphics (Proc. Siggraph Asia), 35(6), (2016).
	Li Yi, Vladimir G. Kim, Duygu Ceylan, I-Chao Shen, Mengyan Yan, Hao Su, Cewu Lu, Qixing Huang, Alla Sheffer, Leonidas J. Guibas, A scalable active framework for region annotation in 3D shape collections. ACM Trans. Graph. 35(6): 210 (2016)
	Yu Xiang, Wonhui Kim, Wei Chen, Jingwei Ji, Christopher Bongsoo Choy, Hao Su, Roozbeh Mottaghi, Leonidas J. Guibas, Silvio Savarese: ObjectNet3D: A Large Scale Database for 3D Object Recognition. ECCV (8) 2016: 160-176
	V. Ganapathi-Subramanian, B. Thibert, M. Ovsjanikov, and L. Guibas, Stable Region Correspondences Between Non-Isometric Shapes, Eurographics Symp. on Geometry Processing (SGP), 2016.
	Charles R. Qi, Hao Su, Matthias Niessner, Angela Dai, Mengyuan Yan, and Leonidas J. Guibas, Volumetric and Multi-View CNNs for Object Classification on 3D Data, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016, Las Vegas USA.
	Minhyuk Sung, Vladimir G. Kim, Roland Angst, and Leonidas Guibas, Data-driven Structural Priors for Shape Completion, SIGGRAPH Asia 2015
	Yangyan Li, Hao Su, Charles R. Qi, Noa Fish, Daniel Cohen-Or, and Leonidas J. Guibas, Joint Embeddings of Shapes and Images via CNN Image Purification, Transactions on Graphics (Special issue of SIGGRAPH Asia 2015).
	Hao Su, Charles R. Qi, Yangyan Li and Leonidas J. Guibas, Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views, The 15th International Conference on Computer Vision (ICCV), Santiago, Chile, November 2015.
	SU, H., WANG, F., YI, L., AND GUIBAS, L. 2015. 3D-Assisted Image Feature Synthesis for Novel Views of an Object. In ICCV IEEE.
	Robert Herzog, Daniel Mewes, Michael Wand, Leonidas Guibas and Hans-Peter Seidel. LeSSS: Learned Shared Semantic Spaces for Relating Multi-Modal Representations of 3D Shapes. Eurographics Forum (Proc. Symp. Geom. Processing), 34(5), pp. 141-151, 2015.
	Yangyan Li, Angela Dai, Leonidas Guibas, Matthias Niessner, Database-Assisted Object Retrieval for Real-Time 3D Reconstruction, Computer Graphics Forum (Special Issue of Eurographics 2015).
	Art Tevs, Qixing Huang, Michael Wand, Hans-Peter Seidel, Leonidas Guibas. Relating Shapes via Geometric Symmetries and Regularities. Siggraph 2014, 33(4), 2014. .
	Vladimir Kim, Siddhartha Chaudhuri, Leonidas Guibas, and Thomas Funkhouser, Shape2Pose: Human-Centric Shape Analysis, SIGGRAPH (2014)
	H. Su, Q. Huang and N.J. Mitra,Y. Li and L. Guibas, Estimating image depth using shape collections, Transactions on Graphics (Special issue of SIGGRAPH 2014).
	Qixing Huang, Leonidas Guibas, and Niloy Mitra. Near-Regular Structure Extraction Using Linear Programming. ACM Transactions on Graphics (SIGGRAPH 2014), 2014.
	Qixing Huang, Fan Wang, Leonidas Guibas, Functional map networks for analyzing and exploring large shape collections, ACM Transactions on Graphics (TOG), Volume 33, Issue 4, July 2014
	J. Solomon, R. Rustamov, L. Guibas, and A. Butscher, Earth Mover’s Distances on Discrete Surfaces, Proc. SIGGRAPH (2014).
	N. Hu, R. Rustamov, and L. Guibas, Stable and Informative Spectral Signatures for Graph Matching, CVPR2014
	Fan Wang, Qixing Huang, Maks Ovsjanikov, Leonidas Guibas, Unsupervised Multi-Class Joint Image Segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, Ohio, June 2014
	Y. Chen, L. Guibas, Q. Huang, Near-Optimal Joint Object Matching via Convex Relaxation, International Conference on Machine Learning, 2014.
	Q. Huang, Y. Chen, and L.Guibas, Scalable Semidefinite Relaxation for Maximum A Posterior Estimation. International Conference on Machine Learning, 2014.
	J. Solomon, R. Rustamov, L. Guibas, and A. Butscher, Wasserstein Propagation for Semi-Supervised Learning, Proc. International Conference on Machine Learning (ICML 2014).
	Qixing Huang, Hao Su, and Leonidas Guibas. Fine-Grained Semi-Supervised Labeling of Large Shape Collections, ACM Transactions on Graphics (SIGGRAPH Asia 2013), 32(6).
	Maks Ovsjanikov, Mirela Ben-Chen, Frederic Chazal and Leonidas Guibas. Analysis and Visualization of Maps Between Shapes. Computer Graphics Forum (CGF), 2013.
	Youngmin Kim, Niloy Mitra, Qixing Huang and Leonidas J. Guibas, Guided Real-Time Scanning of Indoor Environments, Computer Graphics Forum, Volume 32, number 7, Pacific Graphics 2013 Conference Proceedings.
	Fan Wang, Qixing Huang, and Leonidas Guibas. Image Co-Segmentation via Consistent Functional Maps. The 14th International Conference on Computer Vision (ICCV). Sydney, Australia, December 2013.
	Raif M. Rustamov and Leonidas Guibas, Wavelets on Graphs via Deep Learning, NIPS 2013
	Raif M. Rustamov, Maks Ovsjanikov, Omri Azencot, Mirela Ben-Chen, Frederic Chazal, and Leonidas Guibas. Map-based exploration of intrinsic shape differences and variability. ACM Trans. Graph. (Proc. SIGGRAPH) 32, 4, Article 72 (July 2013).
	Qixing Huang and Leonidas Guibas, Consistent Shape Maps via Semidefinite Programming, Computer Graphics Forum, Volume 32, Issue 5, Proc. Eurographics Symposium on Geometry Processing (SGP), 2013. (Best Paper Award).
	J. Solomon, L. Guibas, and A. Butscher, Dirichlet energy for analysis and synthesis of soft maps, Proc. Eurographics Symposium on Geometry Processing (2013).
	Ovsjanikov, M., Mérigot, Q., Patraucean, V., and Guibas, L. Shape Matching via Quotient Spaces. Proc. Eurographics Symposium on Geometry Processing (2013).
	Nan Hu, Raif M. Rustamov, and Leonidas Guibas, Graph Matching with Anchor Nodes: A Learning Approach, CVPR2013
	Qixing Huang, Guoxin Zhang, Lin Gao, Shimin Hu, Adrian Bustcher, and Leonidas Guibas. An Optimization Approach for Extracting and Encoding Consistent Maps in a Shape Collection, ACM Transactions on Graphics (SIGGRAPH Asia 2012), 31(6).
	Y.M. Kim, N. Mitra, D. Yan, and L. Guibas, Acquiring 3D Indoor Environments with Variability and Repetition, ACM Trans. Graph. 31(6) (SIGGRAPH Asia 2012), 191:1-191:11
	F. Wang and L. Guibas, Supervised Earth Mover's Distance Learning and its Computer Vision Applications, European Conference on Computer Vision (ECCV), 2012
	Maks Ovsjanikov, Mirela Ben-Chen, Justin Solomon, Adrian Butscher and Leonidas Guibas. Functional Maps: A Flexible Representation of Maps Between Shapes. ACM Transactions on Graphics. 31(4), 2012 -- Siggraph 2012.
	Kalojanov, J., Bokeloh, M., Wand, M., Guibas, L., Seidel, H.-P. and Slusallek, P. Microtiles: Extracting Building Blocks from Correspondences. Computer Graphics Forum (Proc. Symposium on Geometry Processing), 31: 1597-1606, 2012.
	J. Solomon, A. Nguyen, A. Butscher, M. Ben-Chen, and L. Guibas, Soft maps between surfaces, Proc. Symposium on Geometry Processing (2012).
	Qixing Huang, Vladlen Koltun, Leonidas Guibas. Joint-Shape Segmentation with Linear Programming. ACM Trans Graph. 30(6) (SIGGRAPH Asia 2011), 125:1-125:11
	Bangpeng Yao, Xiaoye Jiang, Aditya Khosla, Andy Lai Lin, Leonidas Guibas, and Fei-Fei Li. Human Action Recognition by Learning Bases of Action Attributes and Parts. The Thirteenth International Conference on Computer Vision (ICCV). Barcelona, Spain, November 2011.
	Siddhartha Chaudhuri, Evangelos Kalogerakis, Leonidas Guibas, and Vladlen Koltun. 2011. Probabilistic reasoning for assembly-based 3D modeling. ACM Trans. Graph. 30, 4, Article 35 (August 2011), 10 pages
	Maks Ovsjanikov, Wilmot Li, Leonidas Guibas, Niloy J. Mitra. Exploration of Continuous Variability in Collections of 3D Shapes. ACM Transactions on Graphics. 30(4), 2011 -- Siggraph 2011.
	J. Solomon, M. Ben-Chen, A. Butscher, and L. Guibas, As-Killing-As-Possible Vector Fields for Planar Deformation, Symposium on Geometry Processing (2011).
	A. Nguyen, M. Ben-Chen, K. Welnicka, Y. Ye, and L. Guibas, An Optimization Approach to Improving Collections of Shape Maps, Computer Graphics Forum (Proceedings of SGP 2011), 2011, 30(5): 1481-1491.
	Maks Ovsjanikov, Qi-xing Huang and Leonidas Guibas, A Condition Number for Non-Rigid Shape Matching, Comput. Graph. Forum 30(5) (Symposium on Geometry Processing 2011), 1503-1512
	Xiaoye Jiang, Jian Sun, and Leonidas Guibas. A Fourier-Theoretic Approach for Inferring Symmetries. The Twenty-Third Canadian Conference on Computational Geometry (CCCG). Toronto, Canada, August 2011.
	J. Solomon, M. Ben-Chen, A. Butscher, and L. Guibas, Discovery of Intrinsic Primitives on Triangle Meshes, Proc. Eurographics 2011.
	Helmut Pottmann, Qixing Huang, Bailin Deng, Alexander Schiftner, Martin Kilian, Leonidas Guibas, and Johannes Wallner. Geodesic Patterns. ACM Trans. Graphics, Vol. 29, Nr.3, 2010 (Siggraph 2010).
	M. Ben-Chen, A. Butscher, J. Solomon, and L. Guibas, On Discrete Killing Vector Fields and Patterns on Surfaces, Proc. Eurographics Symposium on Geometry Processing (SGP) 2010 (Best Paper Award 2nd Place).
	M. Ovsjanikov, Q. Mérigot, F. Mémoli, and L. Guibas, One Point Isometric Matching with the Heat Kernel, Proc. Eurographics Symposium on Geometry Processing (SGP) 2010.
	P. Skraba, M. Ovsjanikov, F. Chazal, and L. Guibas, Persistence-based Segmentation of Deformable Shapes, 3rd Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment, Proc. CVPR, 2010 (Best Paper Award)
	K. Heath, N. Gelfand, M. Ovsjanikov, M. Aanjaneya, L. J. Guibas "Image Webs: Computing and Exploiting Connectivity in Image Collections" Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2010).
	Hao Li, Bart Adams, Leonidas Guibas, Mark Pauly. Robust Single-View Geometry and Motion Reconstruction. ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia) 2009.
	Bart Adams, Martin Wicke, Maks Ovsjanikov, Michael Wand, Hans-Peter Seidel, Leonidas J. Guibas, Meshless Shape and Motion Design for Multiple Deformable Objects. Computer Graphics Forum, 29(1), pp. 43-59, 2010.
	M. Ovsjanikov, A. M. Bronstein, M. M. Bronstein, L. J. Guibas, ShapeGoogle: a computer vision approach for invariant shape retrieval, Proc. Workshop on Nonrigid Shape Analysis and Deformable Image Alignment (NORDIA), 2009.
	M. Wand, B. Adams, M. Ovsjanikov, A. Berner, M. Bokeloh, P. Jenke, L. Guibas, H.-P. Seidel, A. Schilling: Efficient Reconstruction of Non-rigid Shape and Motion from Real-Time 3D Scanner Data. In: ACM Transactions on Graphics 28(2), April 2009.
	Quentin Mérigot, Maks Ovsjanikov, and Leonidas Guibas, Robust Voronoi-based Curvature and Feature Estimation, Proc. of SIAM/ACM Joint Conference on Geometric and Physical Modeling, 2009. (Best Paper Award)
	Jian Sun, Maks Ovsjanikov, and Leonidas Guibas, A Concise and Provably Informative Multi-scale Signature Based on Heat Diffusion, Proc. Eurographics Symposium on Geometry Processing (SGP) 2009. (Best Paper Award)
	F. Chazal, D. Cohen-Steiner, L. J. Guibas, F. Mémoli, S. Y. Oudot. Gromov-Hausdorff Stable Signatures for Shapes using Persistence. Computer Graphics Forum (proc. SGP 2009), pages 1393-1403.
	Qixing Huang, Martin Wicke, Bart Adams, and Leonidas Guibas. Shape Decomposition Using Modal Analysis. Computer Graphics Forum 28(2) [Proceedings Eurographics], 2009
	Mark Pauly, Niloy J. Mitra, Johannes Wallner, Helmut Pottmann, Leonidas J. Guibas. Discovering Structural Regularity in 3D Geometry. ACM Transactions on Graphics (Proceedings of SIGGRAPH) 2008.
	Qixing Huang, Bart Adams, Martin Wicke, and Leonidas J. Guibas. Non-Rigid Registration Under Isometric Deformations. Proc. of Eurographics Symposium on Geometry Processing 2008 (SGP), Comp. Graphics Forum, 27(5), 1149-1458, 2008.
	Maks Ovsjanikov, Jian Sun, and Leonidas Guibas, Global Intrinsic Symmetries of Shapes, Computer Graphics Forum, 27(5), July 2008, pp. 1341-1348. (Best Student Paper Award)
	Bart Adams, Maks Ovsjanikov, Michael Wand, Hans-Peter Seidel and Leonidas J. Guibas, Meshless Modeling of Deformable Shapes and their Motion, ACM SIGGRAPH/Eurographics Symposium on Computer Animation 2008.
	Adams, B., Pauly, M., Keiser, R., and Guibas, L. J. 2007. Adaptively sampled particle fluids. In ACM Transactions on Graphics, SIGGRAPH 2007 Papers (San Diego, California, August 05 - 09, 2007).
	Niloy J. Mitra, Leonidas Guibas, Mark Pauly, Symmetrization. ACM Trans. Graph. 26, 3 (Jul. 2007), [Siggraph 2007], pp. 63-.
	Michael Wand, Phillp Jenke, Qixing Huang, Martin Bokeloh, Leonidas Guibas, and Andreas Schilling: Reconstruction of Deforming Geometry from Time-Varying Point Clouds. In: Proc. 5th Eurographics Symposium on Geometry Processing, Barcelona, Spain, pp. 49-58, 2007.
	Niloy J. Mitra, Simon Floery, Maks Ovsjanikov, Natasha Gelfand, Leonidas Guibas, Helmut Pottmann, Dynamic Geometry Registration. Proc. Eurographics Symposium on Geometry Processing (SGP), pp. 173-182, 2007
	Niloy J. Mitra, Leonidas Guibas, Joachim Giesen and Mark Pauly, Probabilistic Fingerprints for Shapes, Symposium on Geometry Processing, pp. 121-130, 2006.
	Niloy J. Mitra, Leonidas Guibas, Mark Pauly, Partial and Approximate Symmetry Detection for 3D Geometry, ACM SIGGRAPH, pp. 560-568, 2006.
	B. Adams, R. Keiser, M. Pauly, L. Guibas, M. Gross, and P. Dutre. Efficient Raytracing of Deformable Point-Sampled Surfaces. Proc. Eurographics Symposium, pp. 677-684, 2005.
	M. Pauly, R. Keiser, B. Adams, P. Dutre, M. Gross, and L. Guibas. Meshless Animation of Fracturing Solids. ACM SIGGRAPH Symposium 2005, ACM Transactions on Graphics (TOG), Volume 24, Issue 3, pp. 957-964, 2005.
	M. Pauly, D. K. Pai, L. J. Guibas, Quasi-Rigid Objects in Contact, ACM Symposium on Computer Animation, pp. 109-119, 2004.
	M. Pauly, N. J. Mitra, J. Giesen, M. Gross and L. Guibas. Example-Based 3D Scan Completion. Eurographics Symposium on Geometry Processing, pp. 23-32, 2005.
	N. Gelfand, N. Mitra, L. Guibas and H. Pottmann. Robust Global Registration. Proc. Eurographics Symp. Geom. Processing, pp. 197-206, 2005.
	G. Carlsson, A. Zomorodian, A. Collins, and L. Guibas. Persistence Barcodes for Shapes. International Journal of Shape Modeling, 11 (2005), 149-187.
	M. Pauly, N. J. Mitra and L. Guibas. Uncertainty and Variability in Point Cloud Surface Data. Symposium on Point-Based Graphics, pp. 77-84, 2004.
	N. J. Mitra, A. Nguyen and L. Guibas. Estimating Surface Normals in Noisy Point Cloud Data. Special issue of Int. J. Computational Geometry and its Applications, 14 (4-5), pp. 261-276, 2004.
	N. J. Mitra, N. Gelfand, H. Pottmann, and L. Guibas. Registration of Point Cloud Data from a Geometric Optimization Perspective. Eurographics Symposium on Geometry Processing, pp. 23-32, 2004.
	A. Collins, A. Zomorodian, G. Carlsson, and L. Guibas. A Barcode Shape Descriptor for Curve Point Cloud Data. Computers & Graphics 28 (2004), pp. 881-894.
	A. Collins, A. Zomorodian, G. Carlsson, and L. Guibas. A Barcode Shape Descriptor for Curve Point Cloud Data. Proc. Symp. Point-Based Graphics (2004), pp. 181-191.
	N. Gelfand and L. Guibas. Shape Segmentation Using Local Slippage Analysis. Eurographics Symp. Geom. Processing, 2004, pp. 219-228.
	G. Carlsson, A. Zomorodian, A. Collins, and L. Guibas. Persistence Barcodes for Shapes. Proc. Symp. Geometry Processing (2004), pp. 127-138.

Publications B: Sensor and Ad Hoc Networks

	Xiaoye Jiang, Jonathan Huang, and Leonidas Guibas. Fourier-Information Duality in the Identity Management Problem. The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD). Athens, Greece, September 2011.
	A. Motskin, I. Downes, B. Kusy, O. Gnawali, L. Guibas, Network Warehouses: Efficient Information Distribution to Mobile Users, In Proceedings of The 30th IEEE International Conference on Computer Communications (INFOCOM 2011), April 2011.
	Xiaoye Jiang, Mo Li, Yuan Yao, and Leonidas Guibas. Overcomplete Radon Bases for Target Property Management in Sensor Networks. The Tenth International Conference on Information Processing in Sensor Networks (IPSN). Chicago, USA, April 2011.
	Xiaoye Jiang, Yuan Yao, Han Liu, and Leonidas Guibas. Detecting Network Cliques with Radon Basis Pursuit. The Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS). La Palma, Canary Islands, Spain, April 2012.
	Mo Li, Xiaoye Jiang, and Leonidas Guibas. Fingerprinting Mobile User Positions in Sensor Networks, The Thirtieth International Conference on Distributed Computing Systems (IEEE ICDCS), Genoa, Italy, June 2010.
	Jonathan Huang, Carlos Guestrin, Xiaoye Jiang, and Leonidas Guibas. Exploiting Probabilistic Independence for Permutations. The Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS), 2009.
	Branislav Kusy, HyungJune Lee, Martin Wicke, Nikola Milosavljevic, and Leonidas Guibas. Predictive QoS Routing to Mobile Sinks in Wireless Sensor Networks. Proc. of ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), April 2009.
	J. Gao, L. Guibas, N. Milosavljevic, and D. Zhou, Dynamic Resource Management and Matching in Sensor Networks, International Symposium on Information Processing in Sensor Networks (IPSN), April 2009.
	Arik Motskin, Tim Roughgarden, Primoz Skraba and Leonidas Guibas. Lightweight Coloring and Desynchronization for Networks. Proc. of IEEE INFOCOM, 2009.
	HyungJune Lee, Hyukjoon Kwon, Arik Motskin, and Leonidas Guibas. Interference-Aware MAC Protocol for Wireless Networks by a Game-Theoretic Approach. Proc. of IEEE INFOCOM, 2009.
	E. Cho, K. Wong, B. Kusy, and L. Guibas, Enabling data interpretation through user collaboration in sensor networks, Proc. SenSys Workshop on Applications, Systems, and Algorithms for Image Sensing, 2008
	HyungJune Lee, Martin Wicke, Branislav Kusy, and Leonidas Guibas. Localization of Mobile Users Using Trajectory Matching. Proc. MobiCom Workshop on Mobile Entity Localization and Tracking in GPS-less Environments (MELT), 2008. Best Paper Award
	Kyle Heath and Leonidas J. Guibas. Multi-Person Tracking from Sparse 3D Trajectories in a Camera Sensor Network. Proc. IEEE Int. Conf. on Distributed Smart Cameras, 2008.
	Leonidas J. Guibas. The Identity Management Problem -- A Short Survey. Proc. International Conf. on Information Fusion. Cologne, Germany, 2008.
	Rik Sarkar, Xianjin Zhu, Jie Gao, Leonidas J. Guibas, and Joseph S. B. Mitchell, Iso-Contour Queries and Gradient Descent with Guaranteed Delivery in Sensor Networks, Proc. of the 27th Annual IEEE Conference on Computer Communications (INFOCOM'08), May, 2008.
	Huijia Lin, Maohua Lu, Nikola Milosavljevic, Jie Gao, and Leonidas J. Guibas, Composable Information Gradients in Wireless Sensor Networks, Proc. of the International Conference on Information Processing in Sensor Networks (IPSN'08), April, 2008.
	Jonathan Huang, Carlos Guestrin, and Leonidas Guibas. Efficient Inference for Distributions on Permutations. In Advances in Neural Information Processing Systems (NIPS), 2007. Full version submitted to to the Journal of Machine Learning Research.
	K. Heath, L. Guibas, FaceNet: Tracking People and Acquiring Canonical Face Images in a Wireless Camera Sensor Network, First ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC-07).
	Abdelzaher, T., Anokwa, Y., Boda, P., Burke, J., Estrin, D., Guibas, L., Kansal, A., Madden, S., and Reich, J. 2007. Mobiscopes for Human Spaces. IEEE Pervasive Computing 6, 2 (Apr. 2007), pp. 20-29.
	P. Skraba, L. Guibas, Energy Efficient Intruder Detection for Camera Sensor Networks. Proc. Int. Conf. Distributed Computing in Sensor Systems (DCOSS), pp. 309-323, 2007.
	J. Gao, L. Guibas, J. Hershberger, N. Milosavljevic, Sparse Data Aggregation in Sensor Networks, Proceedings of IPSN '07: 6th International Conference on Information Processing in Sensor Networks, pp. 430-439, 2007.
	A. Nguyen, N. Milosavljevic, Q. Fang, J. Gao, L. J. Guibas. Landmark Selection and Greedy Landmark-Descent Routing for Sensor Networks. Proceedings of IEEE INFOCOM 2007.
	A. O. Ercan, A. El Gamal and L. J. Guibas, Object Tracking in the Presence of Occlusions via a Camera Network, in Proceedings of 6th Int'l Conference on Information Processing in Sensor Networks (IPSN), pp. 509-518, Cambridge, MA, April 2007.
	J. Cortial, C. Farhat, L. Guibas, and M. Rajashekhar, Compressed Sensing and Time-Parallel Reduced-Order Modeling for Structural Health Monitoring using a DDDAS. Int. Conf. Computational Science (ICCS), pp. 1171-1179, 2007.
	Charbel Farhat, John Michopoulos, F. K. Chang, Leonidas J. Guibas, and A. J. Lew, Towards a Dynamic Data Driven System for Structural and Material Health Monitoring. International Conference on Computational Science (ICCS), pp. 456-464, 2006.
	B. Schumitsch, S. Thrun, L. Guibas, and K. Olukotun, The identity management Kalman filter (IMKF), Int. Conf. Robotics Science and Systems (RSS), 2006.
	A.O. Ercan, A. El Gamal and L.J. Guibas, Camera network node selection for target localization in the presence of occlusions, Proc. ACM SenSys Workshop on Distributed Smart Cameras 2006.
	A.O. Ercan, D.B. Yang, A. El Gamal, and L. Guibas, Optimal placement and selection of camera network nodes for target localization, Proc. Int. Conference on Distributed Computing in Sensor Systems (DCOSS), pp 389-404, 2006.
	S. Funke, L. Guibas, A. Nguyen, and Y. Wang, Distance-sensitive information brokerage in sensor networks, Proc. Int. Conference on Distributed Computing in Sensor Systems (DCOSS), pp 234-251, 2006.
	P. Skraba, Q. Fang, A. Nguyen, and L. Guibas, Sweeps over wireless sensor networks, 5th Int'l Conference on Information Processing in Sensor Networks (IPSN), pp. 143-151, 2006.
	Q. Fang, J. Gao, and L. Guibas, Landmark-based information brokerage in wireless sensor networks, 25th Conference of the IEEE Communications Society (InfoCom), 2006
	Z. Abrams, H-L. Chen, L. Guibas, J. Liu, and F. Zhao, Kinetically stable task assignment for networks of microservers, 5th Int'l Conference on Information Processing in Sensor Networks (IPSN), pp. 93-101, 2006.
	D. Yang, J. Shin, A. Ercan and L. Guibas, Sensor Tasking for Occupancy Reasoning in a Camera Network, IEEE/ICST 1st Workshop on Broadband Advanced Sensor Networks (BASENETS 2004).
	J. Shin, A. Man-Cho So, and L. Guibas. Supporting Group Communication among Interacting Agents in Wireless Sensor Networks. IEEE Wireless Communications and Networking Conference (WCNC'05), 2005.
	J. Shin, N. Lee, S. Thrun, and L. Guibas. Lazy Inference on Object Identities in Wireless Sensor Networks. Fourth International Conference on Information Processing in Sensor Networks (IPSN 2005), pp. 174-178, 2005.
	J. Gao, L. J. Guibas, A. Nguyen, Distributed Proximity Maintenance in Ad Hoc Mobile Networks. International Conference on Distributed Computing in Sensor System (DCOSS'05), pp. 4-19, 2005.
	Q. Fang, J. Gao, L. J. Guibas, V. de Silva, L. Zhang, GLIDER: Gradient Landmark-Based Distributed Routing for Sensor Networks, 24th Conference of the IEEE Communications Society (InfoCom), 2005
	Jie Gao, Leonidas J. Guibas, John Hershberger, Li Zhang, An Zhu, Geometric Spanner for Routing in Mobile Networks. IEEE Journal on Selected Areas in Communications Wireless Ad Hoc Networks (J-SAC), 23(1), pp. 174-185, January, 2005.
	J. Gao, L. J. Guibas, J. Hershberger, L. Zhang, Fractionally Cascaded Information in a Sensor Network, Proc. of the 3rd International Symposium on Information Processing in Sensor Networks (IPSN'04), 311-319, April, 2004.
	Q. Fang, J. Liu, L. Guibas, and F. Zhao, RoamHBA: Maintaining Group Connectivity In Sensor Networks, 3rd International Symposium on Information Processing in Sensor Networks(IPSN), 2004, pp. 151-160.
	Q. Fang, J. Gao and L. Guibas, Locating and Bypassing Holes in Sensor Networks, to appear in "Mobile Networks and Applications(MONET)", 2005
	Q. Fang and J. Gao and L. Guibas, Locating and Bypassing Routing Holes in Sensor Networks, 23rd Conference of the IEEE Communications Society (InfoCom), 2004.
	R. Biswas, S. Thrun, and L.Guibas. A probabilistic approach to inference with limited information in sensor networks. Proc. 3rd Int. Conf. Information Processing in Sensor Networks, pp. 269-276, 2004.
	J. Liu, P. Cheung, L. Guibas and F. Zhao. Apply Geometric Duality to Energy Efficient Non-Local Phenomenon Awareness using Sensor Networks. IEEE Wireless Communication Magazine, special issue on Wireless Sensor Networks: Theory and Systems, Dec. 2004, pp. 62-68.
	D. Yang, H. Gonzalez-Banos, and L. Guibas, Counting People in Crowds with a Real-Time Network of Image Sensors, Int. Conference on Computer Vision (ICCV), pp. 122-129, 2003.
	J. Shin, L. Guibas and F. Zhao, Distributed Algorithm for Managing Multi-Target Identities in Wireless Ad-hoc Sensor Networks. 2nd Int'l Workshop on Information Processing in Sensor Networks (IPSN) 2003, pp. 223-238.
	I. Hwang, H. Balakrishnan, K. Roy, J. Shin, L. Guibas, and C. Tomlin, Multiple Target Tracking and Identity Management. In the Proceedings of 2nd IEEE Sensors Conf., Toronto, Canada, October 2003, 36-41.
	J. Gao, L. J. Guibas, J. Hershberger, L. Zhang, A. Zhu, Discrete Mobile Centers, Discrete and Computational Geometry, 30(1), 45-65, 2003.
	Q. Fang, F. Zhao, and L. Guibas, Lightweight Sensing and Communication Protocols for Target Enumeration and Aggregation, the 4th ACM International Symposium on Mobile Ad Hoc Networking & Computing (MobiHoc), 2003, pp. 165-176.
	F. Zhao, J. Liu, J. Liu, L. Guibas, and J. Reich, Collaborative signal and information processing: an information-directed approach, Proceedings of the IEEE, 91, 8, pp. 1199- 1209, 2003.
	L. Guibas, Sensing, tracking, and reasoning with relations, IEEE Signal Processing Magazine, 19, 2, pp. 73-85, 2002.

Publications C: Computational Geometry

	Chen Chen, Cewu Lu, Qixing Huang, Qiang Yang, Dimitrios Gunopulos, and Leonidas Guibas. City-Scale Map Creation and Updating using GPS Collections. In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '16). ACM, New York, NY, USA, 1465-1474, 2016.
	Yang Li, Yangyan Li, Dimitrios Gunopulos, and Leonidas Guibas, Knowledge-Based Trajectory Completion from Sparse GPS Samples, In Proceedings of the 24th SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2016
	Haochen Tang, Michael Kerber, Qixing Huang, and Leonidas Guibas. Locating Lucrative Passengers for Taxicab Drivers. In Proceedings of the 21th SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS'13, 2013.
	Y. Li, Q. Huang, M. Kerber, L. Zhang and L. Guibas, Large-Scale Joint Map Matching of GPS Traces, In Proceedings of the 21th SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS'13, 2013.
	Chen Chen, Hao Su, Qixing Huang, Lin Zhang and Leonidas Guibas, Pathlet Learning for Compressing and Planning Trajectories. In Proceedings of the 21th SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS'13, 2013.
	Frederic Chazal, Daniel Chen, Leonidas Guibas, Xiaoye Jiang, and Christian Sommer. Data- driven trajectory smoothing. In Proceedings of the 19th SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS'11, 2011.
	M. Aanjaneya, F. Chazal, D. Chen, M.Glisse, L. Guibas, and D. Morozov, Metric Graph Reconstruction from Noisy Data, 27th Annual ACM Sympoium on Computational Geometry, 2011.
	Leonidas Guibas, Quentin Mérigot, Dmitriy Morozov. Witnessed k-Distance. Proceedings of the 27th Annual Symposium on Computational Geometry (SoCG), pages 57-64, 2011.
	Frédéric Chazal, Leonidas J. Guibas, Steve Y. Oudot, and Primoz Skraba. Persistence-based clustering in riemannian manifolds. In Proceedings of the 27th annual ACM Symposium on Computational Geometry (SoCG '11). ACM, New York, NY, USA, 97-106, 2011.
	D. Chen, A. Driemel, L. Guibas, A. Nguyen, and C. Wenk, Approximate Map Matching with respect to the Fréchet Distance, In Proceedings of the 13th Workshop on Algorithm Engineering and Experiments (ALENEX '11).
	Pankaj K. Agarwal, Jie Gao, Leonidas Guibas, Haim Kaplan, Vladlen Koltun, Natan Rubin and Micha Sharir. Kinetic Stable Delaunay Graphs. 26th Annual ACM Sympoium on Computational Geometry, 2010.
	D. Chen, L. Guibas, J. Hershberger, and J. Sun, Road Network Reconstruction for Organizing Paths, ACM-SIAM Symposium on Discrete Algorithms (SODA), 2010.
	F. Chazal, D. Cohen-Steiner, M. Glisse, L. J. Guibas, S. Y. Oudot. Proximity of Persistence Modules and their Diagrams. Proc. 25th ACM Sympos. on Comput. Geom., pages 237-246, 2009 (<a href="http://hal.inria.fr/inria-00292566/en/">full version</a>).
	F. Chazal, L. J. Guibas, S. Y. Oudot, P. Skraba. Analysis of Scalar Fields over Point Cloud Data. <em>Proc. 19th ACM-SIAM Symposium on Discrete Algorithms</em>, 2009 (<a href="http://hal.inria.fr/inria-00294591/en/">full version</a>).
	L.J. Guibas, D. Hsu, H. Kurniawati, and E. Rehman. Bounded uncertainty roadmaps for path planning. In Proc. Int. Workshop on the Algorithmic Foundations of Robotics (WAFR), 2008
	J. Gao, L. Guibas, S. Oudot, and Y. Wang. Geodesic Delaunay Triangulation and Witness Complex in the Plane. Proc. 19th ACM-SIAM Symposium on Discrete Algorithms, pages 571-580, 2008. Full version invited to the special issue of Transactions on Algorithms on SODA'08.
	Alon Efrat, Leonidas J. Guibas, Olaf A. Hall-Holt, and Li Zhang, On incremental rendering of silhouette maps of a polyhedral scene. Computational Geometry, Theory and Applications, 38 (2007), pp. 129-138.
	D. Russel, M. I. Karavelas and L. J. Guibas. A package for Exact Kinetic Data Structures and Sweepline Algorithms. Computational Geometry: Theory and Applications, Special Issue on CGAL, 38(1-2):111-127, September 2007.
	J.-D. Boissonnat, L. J. Guibas, and S. Y. Oudot. Manifold Reconstruction in Arbitrary Dimensions using Witness Complexes. <i>Proc. 23rd ACM Sympos. on Comput. Geom.</i>, pages 194-203, 2007. Full version invited to the special issue of <i>Discrete and Computational Geometry</i> on SCG'07 (<a href="http://graphics.stanford.edu/projects/lgl/papers/bgo-mraduwc-07/bgo-mraduwc-07-full.pdf">pdf</a>).
	Leonidas J. Guibas, Steve Y. Oudot. Reconstruction using Witness Complexes. <i>Proc. 18th ACM-SIAM Sympos. on Discrete Algorithms</i>, pages 1076-1085, 2007. Full version to appear in <i>Discrete and Computational Geometry</i> (<a href="http://graphics.stanford.edu/projects/lgl/papers/go-ruwc-07/go-ruwc-07-full.pdf">pdf</a>).
	H.K. Kim, L.J. Guibas, and S.Y. Shin, Efficient collision detection among moving spheres with unknown trajectories, Algorithmica 43(3), pp. 195-210, 2005.
	J.-D. Boissonnat, L. J. Guibas, S. Y. Oudot. Learning Smooth Objects by Probing. <i>Proc. 21st Annual Sympos. on Comput. Geom.</i>, pp. 198-207, 2005. Full version appeared in <i>Computational Geometry: Theory and Applications</i>, 37:38-58, 2007 (<a href="http://graphics.stanford.edu/projects/lgl/papers/bgo-lsop-05/bgo-lsop-05-full.pdf">pdf</a>).
	P. K. Agarwal, M. de Berg, J. Gao, L. J. Guibas, and S. Har-Peled, Staying in the Middle: Exact and Approximate Medians in R1 and R2 for Moving Points, Proc. of the 17-th Canadian Conference on Computational Geometry (CCCG 05), 42-45, August, 2005.
	J. Gao, L. J. Guibas, A. Nguyen, Deformable Spanners and Applications, Proc. of the 20th ACM Symposium on Computational Geometry (SoCG'04), 179-199, 2004.
	L. Guibas. Kinetic Data Structures. In Handbook of Data Structures and Applications, D. Mehta and S. Sahni, Eds, Chapman and Hall/CRC, 2004.
	L. Guibas. Modeling Motion. In Handbook of Discrete and Computational Geometry, J. Goodman and J. O'Rourke, Eds, 2nd Ed., Chapman and Hall/CRC, 2004, pp. 1117-1134.
	L. Guibas, D. Russel, An Empirical Comparison of Techniques for Updating Delaunay Triangulations, ACM Symp. on Computational Geometry, pp. 170-179, 2004
	Leonidas Guibas, Menelaos Karavelas, Daniel Russel, A Computational Framework for Handling Motion. ALENEX, pp. 129-141, 2004
	P. Agarwal, L. Guibas, A. Nguyen, D. Russel, and L. Zhang, Collision Detection for Deforming Necklaces, Computational Geometry: Theory and Applications, pp. 137-163, 2004
	L. J. Guibas, A. Nguyen, and L. Zhang, Zonotopes as Bounding Volumes, Symposium on Discrete Algorithms (SODA) 2003, pp. 803-812.

Publications D: Computational Biology

	Raif M. Rustamov, David Romano, Allan L. Reiss, and Leonidas J. Guibas. Compact and Informative Representation of Functional Connectivity for Predictive Modeling. Medical Image Computing and Computer Assisted Intervention Conference (MICCAI), 2014
	R. Rustamov, L. Guibas, Hyperalignment of Multi-Subject fMRI Data by Synchronized Projections, NIPS Workshop on Machine Learning and Interpretation in Neuroimaging (MLINI) 2013.
	Chen Gu, Huang-Wei Chang, Lutz Maibaum, Vijay Pande, Gunnar Carlsson and Leonidas Guibas. Building Markov State Models with Solvent Dynamics. 11th Asia Pacific Bioinformatics Conference (BMC Bioinformatics Journal). Vancouver, Canada, January 2013.
	Chen Gu, Xiaoye Jiang and Leonidas Guibas. Kinetically-aware Conformational Distances in Molecular Dynamics. 23rd Canadian Conference on Computational Geometry. Toronto, Canada, August 2011.
	Xuhui Huang, Yuan Yao, Gregory R. Bowman, Jian Sun, Leonidas J. Guibas, Gunnar Carlsson, and Vijay S. Pande. Constructing Multi-Resolution Markov State Models (MSMs)to Elucidate RNA Hairpin Folding Mechanisms. Pacific Symposium on Biocomputing, 15:228-239,(2010).
	Yuan Yao, Jian Sun, Xuhui Huang, Gregory R. Bowman, Gurjeet Singh, Michael Lesnick, Leonidas J. Guibas, Vijay S. Pande, and Gunnar Carlsson. Topological methods for exploring low-density states in biomolecular folding pathways. J. Chem. Phys., 130, 144115, (2009).
	E. Antunez and L. Guibas, Robust Extraction of 1D Skeletons from Grayscale 3D Images, Proc. Int'l Conference on Pattern Recognition, 2008.
	Gregory R. Bowman, Xuhui Huang, Yuan Yao, Jian Sun, Gunnar Carlsson, Leonidas J. Guibas, and Vijay S. Pande. Structural Insight into RNA Hairpin Folding Intermediates. J. Am. Chem. Soc., 2008.
	Peter M. Kasson, Afra Zomorodian, Sanghyun Park, Nina Singhal, Leonidas J. Guibas, and Vijay S. Pande, Persistent voids: a new structural metric for membrane fusion. Bioinformatics, pp. 1753-1759, 2007.
	Y. Wang and L. Guibas, Towards unsupervised segmentation of semi-rigid low-resolution molecular surfaces, Geometric Modeling and Processing, pp. 129-142, 2006. Full version to appear in <i>Algorithmica</i> 2007 (<a href="http://graphics.stanford.edu/projects/lgl/papers/wg-tussrlrms-06/wg-tussrlrms-06-full.pdf">pdf</a>).
	R. Kolodny, L. Guibas, M. Levitt and P. Koehl. Inverse Kinematics in Biology: The Protein Loop Closure Problem. Int. Jour. Robotics Research. (2005) 24, pp. 151-162.
	Jun Aishima, Daniel Russel, Leo Guibas, Axel Brunger and Paul Adams, Automated Crystallographic Building Using the Medial Axis Transform of an Electron Density Isosurface, Acta Crystallographica D, 61, pp. 1354-1363, (2005)
	D. Russel and L. Guibas, Exploring Protein Folding Conformations Using Spanners, Pacific Symposium on Biocomputing, pp. 40-51, 2005.
	A. Zomorodian, L. J. Guibas, and P. Koehl, Geometric Filtering of Pairwise Atomic Interactions Applied to the Design of Efficient Statistical Potentials, Computer Aided Geometric Design, to appear.
	R. Kolodny, P. Koehl, L. Guibas and M. Levitt, Small Libraries of Protein Fragments Model Native Protein Structures Accurately, J. Mol. Biol. 323(2002) 323, 297-307.

Publications E: MOOCs Related

	C. Piech, M. Sahami, J. Huang, and L. Guibas, Autonomously Generating Hints by Inferring Problem Solving Policies, Learning at Scale 2 (2015), 195-204.
	C. Piech, J. Huang, A. Nguyen, M. Phulsuksombati, M. Sahami, and L. Guibas, Learning Program Embeddings to Propagate Feedback on Student Code, International Conference on Machine Learning, 32 (2015), 1093-1102.
	Chris Piech, Jonathan Bassen, Jonathan Huang, Surya Ganguli, Mehran Sahami, Leonidas J. Guibas, Jascha Sohl-Dickstein: Deep Knowledge Tracing. NIPS 2015: 505-513
	A. Nguyen, C. Piech, J. Huang, and L. Guibas, Codewebs: Scalable Homework Search for Massive Open Online Programming Courses, Proceedings of the 23rd international conference on World Wide Web. International World Wide Web Conferences Steering Committee, 2014.
	Syntactic and Functional Variability of a Million Code Submissions in a Machine Learning MOOC, Jonathan Huang, Chris Piech, Andy Nguyen, Leonidas Guibas. In the 16th International Conference on Artificial Intelligence in Education (AIED 2013) Workshop on Massive Open Online Courses (MOOCshop) Memphis, TN, USA, July 2013.

Leonidas J. Guibas

Research Statement