Li Zhang

According to our database, Li Zhang authored at least 88 papers between 1997 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of two.

2024

Private Learning with Public Features.

Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Shuang Song, Abhradeep Thakurta, Li Zhang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields.

Junge Zhang, Feihu Zhang, Shaochen Kuang, Li Zhang

CoRR, 2023

Single-view Neural Radiance Fields with Depth Teacher.

Yurui Chen, Chun Gu, Feihu Zhang, Li Zhang

CoRR, 2023

Private Matrix Factorization with Public Item Features.

Mihaela Curmei, Walid Krichene, Li Zhang, Mukund Sundararajan

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Multi-Task Differential Privacy Under Distribution Skew.

Walid Krichene, Prateek Jain, Shuang Song, Mukund Sundararajan, Abhradeep Guha Thakurta, Li Zhang

Proceedings of the International Conference on Machine Learning, 2023

S-NeRF: Neural Radiance Fields for Street Views.

Ziyang Xie, Junge Zhang, Wenye Li, Feihu Zhang, Li Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Revisiting the Performance of iALS on Item Recommendation Benchmarks.

Steffen Rendle, Walid Krichene, Li Zhang, Yehuda Koren

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

2021

Differentially private false discovery rate control.

Cynthia Dwork, Weijie J. Su, Li Zhang

J. Priv. Confidentiality, 2021

ALX: Large Scale Matrix Factorization on TPUs.

Harsh Mehta, Steffen Rendle, Walid Krichene, Li Zhang

CoRR, 2021

iALS++: Speeding up Matrix Factorization with Subspace Optimization.

Steffen Rendle, Walid Krichene, Li Zhang, Yehuda Koren

CoRR, 2021

Oneshot Differentially Private Top-k Selection.

Gang Qiao, Weijie J. Su, Li Zhang

Proceedings of the 38th International Conference on Machine Learning, 2021

Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates.

Steve Chien, Prateek Jain, Walid Krichene, Steffen Rendle, Shuang Song, Abhradeep Thakurta, Li Zhang

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Superbloom: Bloom filter meets Transformer.

John R. Anderson, Qingqing Huang, Walid Krichene, Steffen Rendle, Li Zhang

CoRR, 2020

Neural Collaborative Filtering vs. Matrix Factorization Revisited.

Steffen Rendle, Walid Krichene, Li Zhang, John R. Anderson

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Rankmax: An Adaptive Projection Alternative to the Softmax Function.

Weiwei Kong, Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Large-Scale Weakly-Supervised Content Embeddings for Music Recommendation and Tagging.

Qingqing Huang, Aren Jansen, Li Zhang, Daniel P. W. Ellis, Rif A. Saurous, John R. Anderson

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval.

Tao Wu, Ellie Ka In Chio, Heng-Tze Cheng, Yu Du, Steffen Rendle, Dima Kuzmin, Ritesh Agarwal, Li Zhang, John R. Anderson, Sarvjeet Singh, Tushar Chandra, Ed H. Chi, Wen Li, Ankit Kumar, Xiang Ma, Alex Soares, Nitin Jindal, Pei Cao

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Rényi Differential Privacy of the Sampled Gaussian Mechanism.

Ilya Mironov, Kunal Talwar, Li Zhang

CoRR, 2019

On the Difficulty of Evaluating Baselines: A Study on Recommender Systems.

Steffen Rendle, Li Zhang, Yehuda Koren

CoRR, 2019

Efficient Training on Very Large Corpora via Gramian Estimation.

Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang, Xinyang Yi, Lichan Hong, Ed H. Chi, John R. Anderson

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Learning Differentially Private Recurrent Language Models.

H. Brendan McMahan, Daniel Ramage, Kunal Talwar, Li Zhang

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Learning Differentially Private Language Models Without Losing Accuracy.

H. Brendan McMahan, Daniel Ramage, Kunal Talwar, Li Zhang

CoRR, 2017

On the Protection of Private Information in Machine Learning Systems: Two Recent Approaches.

Martín Abadi, Úlfar Erlingsson, Ian J. Goodfellow, H. Brendan McMahan, Ilya Mironov, Nicolas Papernot, Kunal Talwar, Li Zhang

CoRR, 2017

On the Protection of Private Information in Machine Learning Systems: Two Recent Approches.

Martín Abadi, Úlfar Erlingsson, Ian J. Goodfellow, H. Brendan McMahan, Ilya Mironov, Nicolas Papernot, Kunal Talwar, Li Zhang

Proceedings of the 30th IEEE Computer Security Foundations Symposium, 2017

2016

Well Separated Pair Decomposition for Unit-Disk Graph.

Jie Gao, Li Zhang

Encyclopedia of Algorithms, 2016

The Geometry of Differential Privacy: The Small Database and Approximate Cases.

Aleksandar Nikolov, Kunal Talwar, Li Zhang

SIAM J. Comput., 2016

Deep Learning with Differential Privacy.

Martín Abadi, Andy Chu, Ian J. Goodfellow, H. Brendan McMahan, Ilya Mironov, Kunal Talwar, Li Zhang

Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security, 2016

2015

Private False Discovery Rate Control.

Cynthia Dwork, Weijie Su, Li Zhang

CoRR, 2015

Nearly Optimal Private LASSO.

Kunal Talwar, Abhradeep Thakurta, Li Zhang

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Private Empirical Risk Minimization Beyond the Worst Case: The Effect of the Constraint Set Geometry.

Kunal Talwar, Abhradeep Thakurta, Li Zhang

CoRR, 2014

Analyze gauss: optimal bounds for privacy-preserving principal component analysis.

Cynthia Dwork, Kunal Talwar, Abhradeep Thakurta, Li Zhang

Proceedings of the Symposium on Theory of Computing, 2014

Learning Sparse Polynomial Functions.

Alexandr Andoni, Rina Panigrahy, Gregory Valiant, Li Zhang

Proceedings of the Twenty-Fifth Annual ACM-SIAM Symposium on Discrete Algorithms, 2014

Learning Polynomials with Neural Networks.

Alexandr Andoni, Rina Panigrahy, Gregory Valiant, Li Zhang

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

The geometry of differential privacy: the sparse and approximate cases.

Aleksandar Nikolov, Kunal Talwar, Li Zhang

Proceedings of the Symposium on Theory of Computing Conference, 2013

Sybil-proof mechanisms in query incentive networks.

Wei Chen, Yajun Wang, Dongxiao Yu, Li Zhang

Proceedings of the fourteenth ACM Conference on Electronic Commerce, 2013

2012

The Mind Grows Circuits

Rina Panigrahy, Li Zhang

CoRR, 2012

Understanding cyclic trends in social choices.

Anish Das Sarma, Sreenivas Gollapudi, Rina Panigrahy, Li Zhang

Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Domain bias in web search.

Samuel Ieong, Nina Mishra, Eldar Sadikov, Li Zhang

Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Poster: multi-track map matching.

Adel Javanmard, Maya Haridasan, Li Zhang

Proceedings of the 10th International Conference on Mobile Systems, 2012

The minimax risk of truncated series estimators for symmetric convex polytopes.

Adel Javanmard, Li Zhang

Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Multi-track map matching.

Adel Javanmard, Maya Haridasan, Li Zhang

Proceedings of the SIGSPATIAL 2012 International Conference on Advances in Geographic Information Systems (formerly known as GIS), 2012

2011

Proportional response dynamics in the Fisher market.

Li Zhang

Theor. Comput. Sci., 2011

2010

Understanding Fashion Cycles as a Social Choice

Anish Das Sarma, Sreenivas Gollapudi, Rina Panigrahy, Li Zhang

CoRR, 2010

StarTrack Next Generation: A Scalable Infrastructure for Track-Based Applications.

Maya Haridasan, Iqbal Mohomed, Doug Terry, Chandramohan A. Thekkath, Li Zhang

Proceedings of the 9th USENIX Symposium on Operating Systems Design and Implementation, 2010

Scalable Influence Maximization in Social Networks under the Linear Threshold Model.

Wei Chen, Yifei Yuan, Li Zhang

Proceedings of the ICDM 2010, 2010

2009

Trade-Offs between Stretch Factor and Load-Balancing Ratio in Routing on Growth-Restricted Graphs.

Jie Gao, Li Zhang

IEEE Trans. Parallel Distributed Syst., 2009

The Proportional-Share Allocation Market for Computational Resources.

Michal Feldman, Kevin Lai, Li Zhang

IEEE Trans. Parallel Distributed Syst., 2009

2008

Well Separated Pair Decomposition.

Jie Gao, Li Zhang

Proceedings of the Encyclopedia of Algorithms - 2008 Edition, 2008

Truth-Telling Reservations.

Fang Wu, Li Zhang, Bernardo A. Huberman

Algorithmica, 2008

2007

On incremental rendering of silhouette maps of a polyhedral scene.

Alon Efrat, Leonidas J. Guibas, Olaf A. Hall-Holt, Li Zhang

Comput. Geom., 2007

Proportional response dynamics leads to market equilibrium.

Fang Wu, Li Zhang

Proceedings of the 39th Annual ACM Symposium on Theory of Computing, 2007

2006

Load-Balanced Short-Path Routing in Wireless Networks.

Jie Gao, Li Zhang

IEEE Trans. Parallel Distributed Syst., 2006

2005

Well-Separated Pair Decomposition for the Unit-Disk Graph Metric and Its Applications.

Jie Gao, Li Zhang

SIAM J. Comput., 2005

Tycoon: An implementation of a distributed, market-based resource allocation system.

Kevin Lai, Lars Rasmusson, Eytan Adar, Li Zhang, Bernardo A. Huberman

Multiagent Grid Syst., 2005

Geometric spanners for routing in mobile networks.

Jie Gao, Leonidas J. Guibas, John Hershberger, Li Zhang, An Zhu

IEEE J. Sel. Areas Commun., 2005

Ensuring Trust in One Time Exchanges: Solving the QoS Problem

Bernardo A. Huberman, Fang Wu, Li Zhang

CoRR, 2005

A price-anticipating resource allocation mechanism for distributed shared clusters.

Michal Feldman, Kevin Lai, Li Zhang

Proceedings of the Proceedings 6th ACM Conference on Electronic Commerce (EC-2005), 2005

GLIDER: gradient landmark-based distributed routing for sensor networks.

Qing Fang, Jie Gao, Leonidas J. Guibas, Vin de Silva, Li Zhang

Proceedings of the INFOCOM 2005. 24th Annual Joint Conference of the IEEE Computer and Communications Societies, 2005

The Efficiency and Fairness of a Fixed Budget Resource Allocation Game.

Li Zhang

Proceedings of the Automata, Languages and Programming, 32nd International Colloquium, 2005

2004

Tycoon: an Implementation of a Distributed, Market-based Resource Allocation System

Kevin Lai, Lars Rasmusson, Eytan Adar, Stephen Sorkin, Li Zhang, Bernardo A. Huberman

CoRR, 2004

Kinetic collision detection between two simple polygons.

Julien Basch, Jeff Erickson, Leonidas J. Guibas, John Hershberger, Li Zhang

Comput. Geom., 2004

Collision detection for deforming necklaces.

Pankaj K. Agarwal, Leonidas J. Guibas, An Thai Nguyen, Daniel Russel, Li Zhang

Comput. Geom., 2004

Tradeoffs between stretch factor and load balancing ratio in routing on growth restricted graphs.

Jie Gao, Li Zhang

Proceedings of the Twenty-Third Annual ACM Symposium on Principles of Distributed Computing, 2004

Fractionally cascaded information in a sensor network.

Jie Gao, Leonidas J. Guibas, John Hershberger, Li Zhang

Proceedings of the Third International Symposium on Information Processing in Sensor Networks, 2004

2003

TreeJuxtaposer: scalable tree comparison using Focus+Context with guaranteed visibility.

Tamara Munzner, François Guimbretière, Serdar Tasiran, Li Zhang, Yunhong Zhou

ACM Trans. Graph., 2003

Probabilistic Analysis for Discrete Attributes of Moving Points.

Julien Basch, Harish Devarajan, Piotr Indyk, Li Zhang

Int. J. Comput. Geom. Appl., 2003

Discrete Mobile Centers.

Jie Gao, Leonidas J. Guibas, John Hershberger, Li Zhang, An Zhu

Discret. Comput. Geom., 2003

On the complexity of distance-based evolutionary tree reconstruction.

Valerie King, Li Zhang, Yunhong Zhou

Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete Algorithms, 2003

Zonotopes as bounding volumes.

Leonidas J. Guibas, An Thanh Nguyen, Li Zhang

Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete Algorithms, 2003

2002

Fault-Tolerant Meshes with Small Degree.

Li Zhang

IEEE Trans. Computers, 2002

Deformable Free-Space Tilings for Kinetic Collision Detection.

Pankaj K. Agarwal, Julien Basch, Leonidas J. Guibas, John Hershberger, Li Zhang

Int. J. Robotics Res., 2002

Visibility Queries and Maintenance in Simple Polygons.

Boris Aronov, Leonidas J. Guibas, Marek Teichmann, Li Zhang

Discret. Comput. Geom., 2002

Myriad: Cost-Effective Disaster Tolerance.

Fay W. Chang, Minwen Ji, Shun-Tak Leung, John MacCormick, Sharon E. Perl, Li Zhang

Proceedings of the FAST '02 Conference on File and Storage Technologies, 2002

Collision detection for deforming necklaces.

Leonidas J. Guibas, An Thanh Nguyen, Daniel Russel, Li Zhang

Proceedings of the 18th Annual Symposium on Computational Geometry, 2002

2001

Kinetic Connectivity for Unit Disks.

Leonidas J. Guibas, John Hershberger, Subhash Suri, Li Zhang

Discret. Comput. Geom., 2001

Geometric spanner for routing in mobile networks.

Jie Gao, Leonidas J. Guibas, John Hershberger, Li Zhang, An Zhu

Proceedings of the 2nd ACM Interational Symposium on Mobile Ad Hoc Networking and Computing, 2001

Kinetic Collision Detection: Algorithms and Experiments.

Leonidas J. Guibas, Feng Xie, Li Zhang

Proceedings of the 2001 IEEE International Conference on Robotics and Automation, 2001

2000

Kinetic maintenance of proximity structures.

Li Zhang

PhD thesis, 2000

A hierarchical method for real-time distance computation among moving convex bodies.

Leonidas J. Guibas, David Hsu, Li Zhang

Comput. Geom., 2000

Compact Voronoi Diagrams for Moving Convex Polygons.

Leonidas J. Guibas, Jack Snoeyink, Li Zhang

Proceedings of the Algorithm Theory, 2000

1999

Separation-Sensitive Collision Detection for Convex Objects.

Jeff Erickson, Leonidas J. Guibas, Jorge Stolfi, Li Zhang

Proceedings of the Tenth Annual ACM-SIAM Symposium on Discrete Algorithms, 1999

<i>H-Walk</i>: Hierarchical Distance Computation for Moving Convex Bodies.

Leonidas J. Guibas, David Hsu, Li Zhang

Proceedings of the Fifteenth Annual Symposium on Computational Geometry, 1999

Kinetic Data Structures: Animating Proofs Through Time.

Julien Basch, João Comba, Leonidas J. Guibas, John Hershberger, Craig Silverstein, Li Zhang

Proceedings of the Fifteenth Annual Symposium on Computational Geometry, 1999

1998

Visibility Queries in Simple Polygons and Applications.

Boris Aronov, Leonidas J. Guibas, Marek Teichmann, Li Zhang

Proceedings of the Algorithms and Computation, 9th International Symposium, 1998

Euclidean proximity and power diagrams.

Leonidas J. Guibas, Li Zhang

Proceedings of the 10th Canadian Conference on Computational Geometry, 1998

1997

Probabilistic Analysis for Combinatorial Functions of Moving Points.

Li Zhang, Harish Devarajan, Julien Basch, Piotr Indyk

Proceedings of the Thirteenth Annual Symposium on Computational Geometry, 1997

Proximity Problems on Moving Points.

Julien Basch, Leonidas J. Guibas, Li Zhang

Proceedings of the Thirteenth Annual Symposium on Computational Geometry, 1997

A Practical Evaluation of Kinetic Data Structures.

Julien Basch, Leonidas J. Guibas, Craig Silverstein, Li Zhang

Proceedings of the Thirteenth Annual Symposium on Computational Geometry, 1997