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Li Zhang 0001
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Publications
- 2023
- [c54]Walid Krichene, Prateek Jain, Shuang Song, Mukund Sundararajan, Abhradeep Guha Thakurta, Li Zhang:
Multi-Task Differential Privacy Under Distribution Skew. ICML 2023: 17784-17807 - [c53]Mihaela Curmei, Walid Krichene, Li Zhang, Mukund Sundararajan:
Private Matrix Factorization with Public Item Features. RecSys 2023: 805-812 - [i31]Walid Krichene, Prateek Jain, Shuang Song, Mukund Sundararajan, Abhradeep Thakurta, Li Zhang:
Multi-Task Differential Privacy Under Distribution Skew. CoRR abs/2302.07975 (2023) - [i27]Mihaela Curmei, Walid Krichene, Li Zhang, Mukund Sundararajan:
Private Matrix Factorization with Public Item Features. CoRR abs/2309.11516 (2023) - 2022
- [c52]Steffen Rendle, Walid Krichene, Li Zhang, Yehuda Koren:
Revisiting the Performance of iALS on Item Recommendation Benchmarks. RecSys 2022: 427-435 - 2021
- [j21]Cynthia Dwork, Weijie J. Su, Li Zhang:
Differentially private false discovery rate control. J. Priv. Confidentiality 11(2) (2021) - [c51]Steve Chien, Prateek Jain, Walid Krichene, Steffen Rendle, Shuang Song, Abhradeep Thakurta, Li Zhang:
Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates. ICML 2021: 1877-1887 - [i26]Steve Chien, Prateek Jain, Walid Krichene, Steffen Rendle, Shuang Song, Abhradeep Thakurta, Li Zhang:
Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates. CoRR abs/2107.09802 (2021) - [i25]Steffen Rendle, Walid Krichene, Li Zhang, Yehuda Koren:
Revisiting the Performance of iALS on Item Recommendation Benchmarks. CoRR abs/2110.14037 (2021) - [i24]Steffen Rendle, Walid Krichene, Li Zhang, Yehuda Koren:
iALS++: Speeding up Matrix Factorization with Subspace Optimization. CoRR abs/2110.14044 (2021) - [i23]Harsh Mehta, Steffen Rendle, Walid Krichene, Li Zhang:
ALX: Large Scale Matrix Factorization on TPUs. CoRR abs/2112.02194 (2021) - 2020
- [c50]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:
Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval. CIKM 2020: 2821-2828 - [c49]Qingqing Huang, Aren Jansen, Li Zhang, Daniel P. W. Ellis, Rif A. Saurous, John R. Anderson:
Large-Scale Weakly-Supervised Content Embeddings for Music Recommendation and Tagging. ICASSP 2020: 8364-8368 - [c48]Weiwei Kong, Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang:
Rankmax: An Adaptive Projection Alternative to the Softmax Function. NeurIPS 2020 - [c47]Steffen Rendle, Walid Krichene, Li Zhang, John R. Anderson:
Neural Collaborative Filtering vs. Matrix Factorization Revisited. RecSys 2020: 240-248 - [i22]John R. Anderson, Qingqing Huang, Walid Krichene, Steffen Rendle, Li Zhang:
Superbloom: Bloom filter meets Transformer. CoRR abs/2002.04723 (2020) - [i21]Steffen Rendle, Walid Krichene, Li Zhang, John R. Anderson:
Neural Collaborative Filtering vs. Matrix Factorization Revisited. CoRR abs/2005.09683 (2020) - [i20]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:
Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval. CoRR abs/2008.02930 (2020) - 2019
- [c46]Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang, Xinyang Yi, Lichan Hong, Ed H. Chi, John R. Anderson:
Efficient Training on Very Large Corpora via Gramian Estimation. ICLR (Poster) 2019 - [i19]Steffen Rendle, Li Zhang, Yehuda Koren:
On the Difficulty of Evaluating Baselines: A Study on Recommender Systems. CoRR abs/1905.01395 (2019) - [i18]Ilya Mironov, Kunal Talwar, Li Zhang:
Rényi Differential Privacy of the Sampled Gaussian Mechanism. CoRR abs/1908.10530 (2019) - 2018
- [c45]H. Brendan McMahan, Daniel Ramage, Kunal Talwar, Li Zhang:
Learning Differentially Private Recurrent Language Models. ICLR (Poster) 2018 - [i17]Cynthia Dwork, Weijie Su, Li Zhang:
Differentially Private False Discovery Rate Control. CoRR abs/1807.04209 (2018) - [i16]Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang, Xinyang Yi, Lichan Hong, Ed H. Chi, John R. Anderson:
Efficient Training on Very Large Corpora via Gramian Estimation. CoRR abs/1807.07187 (2018) - 2017
- [c44]Martín Abadi, Úlfar Erlingsson, Ian J. Goodfellow, H. Brendan McMahan, Ilya Mironov, Nicolas Papernot, Kunal Talwar, Li Zhang:
On the Protection of Private Information in Machine Learning Systems: Two Recent Approches. CSF 2017: 1-6 - [i15]Martín Abadi, Úlfar Erlingsson, Ian J. Goodfellow, H. Brendan McMahan, Ilya Mironov, Nicolas Papernot, Kunal Talwar, Li Zhang:
On the Protection of Private Information in Machine Learning Systems: Two Recent Approaches. CoRR abs/1708.08022 (2017) - [i14]H. Brendan McMahan, Daniel Ramage, Kunal Talwar, Li Zhang:
Learning Differentially Private Language Models Without Losing Accuracy. CoRR abs/1710.06963 (2017) - 2016
- [j20]Aleksandar Nikolov, Kunal Talwar, Li Zhang:
The Geometry of Differential Privacy: The Small Database and Approximate Cases. SIAM J. Comput. 45(2): 575-616 (2016) - [c43]Martín Abadi, Andy Chu, Ian J. Goodfellow, H. Brendan McMahan, Ilya Mironov, Kunal Talwar, Li Zhang:
Deep Learning with Differential Privacy. CCS 2016: 308-318 - [r2]Jie Gao, Li Zhang:
Well Separated Pair Decomposition for Unit-Disk Graph. Encyclopedia of Algorithms 2016: 2371-2374 - [i13]Martín Abadi, Andy Chu, Ian J. Goodfellow, H. Brendan McMahan, Ilya Mironov, Kunal Talwar, Li Zhang:
Deep Learning with Differential Privacy. CoRR abs/1607.00133 (2016) - 2015
- [c42]Kunal Talwar, Abhradeep Thakurta, Li Zhang:
Nearly Optimal Private LASSO. NIPS 2015: 3025-3033 - [i12]Cynthia Dwork, Weijie Su, Li Zhang:
Private False Discovery Rate Control. CoRR abs/1511.03803 (2015) - 2014
- [c41]Alexandr Andoni, Rina Panigrahy, Gregory Valiant, Li Zhang:
Learning Polynomials with Neural Networks. ICML 2014: 1908-1916 - [c40]Alexandr Andoni, Rina Panigrahy, Gregory Valiant, Li Zhang:
Learning Sparse Polynomial Functions. SODA 2014: 500-510 - [c39]Cynthia Dwork, Kunal Talwar, Abhradeep Thakurta, Li Zhang:
Analyze gauss: optimal bounds for privacy-preserving principal component analysis. STOC 2014: 11-20 - [i11]Kunal Talwar, Abhradeep Thakurta, Li Zhang:
Private Empirical Risk Minimization Beyond the Worst Case: The Effect of the Constraint Set Geometry. CoRR abs/1411.5417 (2014) - 2013
- [c37]Aleksandar Nikolov, Kunal Talwar, Li Zhang:
The geometry of differential privacy: the sparse and approximate cases. STOC 2013: 351-360 - 2012
- [c36]Adel Javanmard, Maya Haridasan, Li Zhang:
Multi-track map matching. SIGSPATIAL/GIS 2012: 394-397 - [c35]Adel Javanmard, Li Zhang:
The minimax risk of truncated series estimators for symmetric convex polytopes. ISIT 2012: 1633-1637 - [c34]Adel Javanmard, Maya Haridasan, Li Zhang:
Poster: multi-track map matching. MobiSys 2012: 503-504 - [c33]Samuel Ieong, Nina Mishra, Eldar Sadikov, Li Zhang:
Domain bias in web search. WSDM 2012: 413-422 - [c32]Anish Das Sarma, Sreenivas Gollapudi, Rina Panigrahy, Li Zhang:
Understanding cyclic trends in social choices. WSDM 2012: 593-602 - [i9]Adel Javanmard, Li Zhang:
The minimax risk of truncated series estimators for symmetric convex polytopes. CoRR abs/1201.2462 (2012) - [i8]Rina Panigrahy, Li Zhang:
The Mind Grows Circuits. CoRR abs/1203.0088 (2012) - [i7]Adel Javanmard, Maya Haridasan, Li Zhang:
Multi-track Map Matching. CoRR abs/1209.2759 (2012) - [i6]Aleksandar Nikolov, Kunal Talwar, Li Zhang:
The Geometry of Differential Privacy: the Sparse and Approximate Cases. CoRR abs/1212.0297 (2012) - 2010
- [c30]Maya Haridasan, Iqbal Mohomed, Doug Terry, Chandramohan A. Thekkath, Li Zhang:
StarTrack Next Generation: A Scalable Infrastructure for Track-Based Applications. OSDI 2010: 409-422 - [i5]Anish Das Sarma, Sreenivas Gollapudi, Rina Panigrahy, Li Zhang:
Understanding Fashion Cycles as a Social Choice. CoRR abs/1009.2617 (2010) - 2009
- [j18]Jie Gao, Li Zhang:
Trade-Offs between Stretch Factor and Load-Balancing Ratio in Routing on Growth-Restricted Graphs. IEEE Trans. Parallel Distributed Syst. 20(2): 171-179 (2009) - 2008
- [r1]Jie Gao, Li Zhang:
Well Separated Pair Decomposition. Encyclopedia of Algorithms 2008 - 2007
- [j15]Alon Efrat, Leonidas J. Guibas, Olaf A. Hall-Holt, Li Zhang:
On incremental rendering of silhouette maps of a polyhedral scene. Comput. Geom. 38(3): 129-138 (2007) - 2006
- [j14]Jie Gao, Li Zhang:
Load-Balanced Short-Path Routing in Wireless Networks. IEEE Trans. Parallel Distributed Syst. 17(4): 377-388 (2006) - 2005
- [j13]Jie Gao, Leonidas J. Guibas, John Hershberger, Li Zhang, An Zhu:
Geometric spanners for routing in mobile networks. IEEE J. Sel. Areas Commun. 23(1): 174-185 (2005) - [j11]Jie Gao, Li Zhang:
Well-Separated Pair Decomposition for the Unit-Disk Graph Metric and Its Applications. SIAM J. Comput. 35(1): 151-169 (2005) - [c26]Qing Fang, Jie Gao, Leonidas J. Guibas, Vin de Silva, Li Zhang:
GLIDER: gradient landmark-based distributed routing for sensor networks. INFOCOM 2005: 339-350 - 2004
- [j10]Julien Basch, Jeff Erickson, Leonidas J. Guibas, John Hershberger, Li Zhang:
Kinetic collision detection between two simple polygons. Comput. Geom. 27(3): 211-235 (2004) - [j9]Pankaj K. Agarwal, Leonidas J. Guibas, An Thai Nguyen, Daniel Russel, Li Zhang:
Collision detection for deforming necklaces. Comput. Geom. 28(2-3): 137-163 (2004) - [c23]Li Zhang, Jie Gao:
Load Balanced Short Path Routing in Wireless Networks. INFOCOM 2004: 1098-1107 - [c22]Jie Gao, Leonidas J. Guibas, John Hershberger, Li Zhang:
Fractionally cascaded information in a sensor network. IPSN 2004: 311-319 - [c21]Jie Gao, Li Zhang:
Tradeoffs between stretch factor and load balancing ratio in routing on growth restricted graphs. PODC 2004: 189-196 - 2003
- [j8]Jie Gao, Leonidas J. Guibas, John Hershberger, Li Zhang, An Zhu:
Discrete Mobile Centers. Discret. Comput. Geom. 30(1): 45-63 (2003) - [j7]Julien Basch, Harish Devarajan, Piotr Indyk, Li Zhang:
Probabilistic Analysis for Discrete Attributes of Moving Points. Int. J. Comput. Geom. Appl. 13(1): 5-22 (2003) - [j6]Tamara Munzner, François Guimbretière, Serdar Tasiran, Li Zhang, Yunhong Zhou:
TreeJuxtaposer: scalable tree comparison using Focus+Context with guaranteed visibility. ACM Trans. Graph. 22(3): 453-462 (2003) - [c20]Valerie King, Li Zhang, Yunhong Zhou:
On the complexity of distance-based evolutionary tree reconstruction. SODA 2003: 444-453 - [c19]Leonidas J. Guibas, An Thanh Nguyen, Li Zhang:
Zonotopes as bounding volumes. SODA 2003: 803-812 - [c18]Jie Gao, Li Zhang:
Well-separated pair decomposition for the unit-disk graph metric and its applications. STOC 2003: 483-492 - 2002
- [j5]Boris Aronov, Leonidas J. Guibas, Marek Teichmann, Li Zhang:
Visibility Queries and Maintenance in Simple Polygons. Discret. Comput. Geom. 27(4): 461-483 (2002) - [j4]Pankaj K. Agarwal, Julien Basch, Leonidas J. Guibas, John Hershberger, Li Zhang:
Deformable Free-Space Tilings for Kinetic Collision Detection. Int. J. Robotics Res. 21(3): 179-198 (2002) - [c17]Leonidas J. Guibas, An Thanh Nguyen, Daniel Russel, Li Zhang:
Collision detection for deforming necklaces. SCG 2002: 33-42 - [c16]Fay W. Chang, Minwen Ji, Shun-Tak Leung, John MacCormick, Sharon E. Perl, Li Zhang:
Myriad: Cost-Effective Disaster Tolerance. FAST 2002: 103-116 - 2001
- [j2]Leonidas J. Guibas, John Hershberger, Subhash Suri, Li Zhang:
Kinetic Connectivity for Unit Disks. Discret. Comput. Geom. 25(4): 591-610 (2001) - [c15]Jie Gao, Leonidas J. Guibas, John Hershberger, Li Zhang, An Zhu:
Discrete mobile centers. SCG 2001: 188-196 - [c14]Leonidas J. Guibas, Feng Xie, Li Zhang:
Kinetic Collision Detection: Algorithms and Experiments. ICRA 2001: 2903-2910 - [c13]Jie Gao, Leonidas J. Guibas, John Hershberger, Li Zhang, An Zhu:
Geometric spanner for routing in mobile networks. MobiHoc 2001: 45-55 - 2000
- [j1]Leonidas J. Guibas, David Hsu, Li Zhang:
A hierarchical method for real-time distance computation among moving convex bodies. Comput. Geom. 15(1-3): 51-68 (2000) - [c12]Leonidas J. Guibas, John Hershberger, Subhash Suri, Li Zhang:
Kinetic connectivity for unit disks. SCG 2000: 331-340 - [c11]Alon Efrat, Leonidas J. Guibas, Olaf A. Hall-Holt, Li Zhang:
On incremental rendering of silhouette maps of polyhedral scene. SODA 2000: 910-917 - [c10]Leonidas J. Guibas, Jack Snoeyink, Li Zhang:
Compact Voronoi Diagrams for Moving Convex Polygons. SWAT 2000: 339-352 - 1999
- [c9]Leonidas J. Guibas, David Hsu, Li Zhang:
H-Walk: Hierarchical Distance Computation for Moving Convex Bodies. SCG 1999: 265-273 - [c8]Julien Basch, João Comba, Leonidas J. Guibas, John Hershberger, Craig Silverstein, Li Zhang:
Kinetic Data Structures: Animating Proofs Through Time. SCG 1999: 427-428 - [c7]Julien Basch, Jeff Erickson, Leonidas J. Guibas, John Hershberger, Li Zhang:
Kinetic Collision Detection Between Two Simple Polygons. SODA 1999: 102-111 - [c6]Jeff Erickson, Leonidas J. Guibas, Jorge Stolfi, Li Zhang:
Separation-Sensitive Collision Detection for Convex Objects. SODA 1999: 327-336 - 1998
- [c5]Leonidas J. Guibas, Li Zhang:
Euclidean proximity and power diagrams. CCCG 1998 - [c4]Boris Aronov, Leonidas J. Guibas, Marek Teichmann, Li Zhang:
Visibility Queries in Simple Polygons and Applications. ISAAC 1998: 357-366 - [i1]Jeff Erickson, Leonidas J. Guibas, Jorge Stolfi, Li Zhang:
Separation-Sensitive Collision Detection for Convex Objects. CoRR cs.CG/9809035 (1998) - 1997
- [c3]Julien Basch, Leonidas J. Guibas, Li Zhang:
Proximity Problems on Moving Points. SCG 1997: 344-351 - [c2]Julien Basch, Leonidas J. Guibas, Craig Silverstein, Li Zhang:
A Practical Evaluation of Kinetic Data Structures. SCG 1997: 388-390 - [c1]Li Zhang, Harish Devarajan, Julien Basch, Piotr Indyk:
Probabilistic Analysis for Combinatorial Functions of Moving Points. SCG 1997: 442-444
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