Li Zhang - RankMe

114 papers A* 26A 10B 3Misc 1Journal 55Unranked 16

Year	Rank	Type	Title / Venue / Authors
2024	A	`conf`	Private Learning with Public Features. AISTATS Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Shuang Song, Abhradeep Thakurta, Li Zhang
2023	J	`jnl`	Answering Compositional Queries with Set-Theoretic Embeddings. CoRR Shib Sankar Dasgupta, Andrew McCallum, Steffen Rendle, Li Zhang
2023	A*	`conf`	Multi-Task Differential Privacy Under Distribution Skew. ICML Walid Krichene, Prateek Jain, Shuang Song, Mukund Sundararajan, Abhradeep Guha Thakurta, Li Zhang
2023	J	`jnl`	Multi-Task Differential Privacy Under Distribution Skew. CoRR Walid Krichene, Prateek Jain, Shuang Song, Mukund Sundararajan, Abhradeep Thakurta, Li Zhang
2023	J	`jnl`	NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields. CoRR Junge Zhang, Feihu Zhang, Shaochen Kuang, Li Zhang
2023	J	`jnl`	Private Learning with Public Features. CoRR Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Shuang Song, Abhradeep Thakurta, Li Zhang
2023	A	`conf`	Private Matrix Factorization with Public Item Features. RecSys Mihaela Curmei, Walid Krichene, Li Zhang, Mukund Sundararajan
2023	J	`jnl`	Private Matrix Factorization with Public Item Features. CoRR Mihaela Curmei, Walid Krichene, Li Zhang, Mukund Sundararajan
2023	A*	`conf`	S-NeRF: Neural Radiance Fields for Street Views. ICLR Ziyang Xie, Junge Zhang, Wenye Li, Feihu Zhang, Li Zhang
2023	J	`jnl`	S-NeRF: Neural Radiance Fields for Street Views. CoRR Ziyang Xie, Junge Zhang, Wenye Li, Feihu Zhang, Li Zhang
2023	J	`jnl`	Single-view Neural Radiance Fields with Depth Teacher. CoRR Yurui Chen, Chun Gu, Feihu Zhang, Li Zhang
2022	A	`conf`	Revisiting the Performance of iALS on Item Recommendation Benchmarks. RecSys Steffen Rendle, Walid Krichene, Li Zhang, Yehuda Koren
2021	J	`jnl`	ALX: Large Scale Matrix Factorization on TPUs. CoRR Harsh Mehta, Steffen Rendle, Walid Krichene, Li Zhang
2021	J	`jnl`	Differentially private false discovery rate control. J. Priv. Confidentiality Cynthia Dwork, Weijie J. Su, Li Zhang
2021	A*	`conf`	Oneshot Differentially Private Top-k Selection. ICML Gang Qiao, Weijie J. Su, Li Zhang
2021	J	`jnl`	Oneshot Differentially Private Top-k Selection. CoRR Gang Qiao, Weijie J. Su, Li Zhang
2021	A*	`conf`	Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates. ICML Steve Chien, Prateek Jain, Walid Krichene, Steffen Rendle, Shuang Song, Abhradeep Thakurta, Li Zhang
2021	J	`jnl`	Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates. CoRR Steve Chien, Prateek Jain, Walid Krichene, Steffen Rendle, Shuang Song, Abhradeep Thakurta, Li Zhang
2021	J	`jnl`	Revisiting the Performance of iALS on Item Recommendation Benchmarks. CoRR Steffen Rendle, Walid Krichene, Li Zhang, Yehuda Koren
2021	J	`jnl`	iALS++: Speeding up Matrix Factorization with Subspace Optimization. CoRR Steffen Rendle, Walid Krichene, Li Zhang, Yehuda Koren
2020	Misc	`conf`	Large-Scale Weakly-Supervised Content Embeddings for Music Recommendation and Tagging. ICASSP Qingqing Huang, Aren Jansen, Li Zhang, Daniel P. W. Ellis, Rif A. Saurous, John R. Anderson
2020	A	`conf`	Neural Collaborative Filtering vs. Matrix Factorization Revisited. RecSys Steffen Rendle, Walid Krichene, Li Zhang, John R. Anderson
2020	J	`jnl`	Neural Collaborative Filtering vs. Matrix Factorization Revisited. CoRR Steffen Rendle, Walid Krichene, Li Zhang, John R. Anderson
2020	A*	`conf`	Rankmax: An Adaptive Projection Alternative to the Softmax Function. NeurIPS Weiwei Kong, Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang
2020	J	`jnl`	Superbloom: Bloom filter meets Transformer. CoRR John R. Anderson, Qingqing Huang, Walid Krichene, Steffen Rendle, Li Zhang
2020	A	`conf`	Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval. CIKM 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
2020	J	`jnl`	Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval. CoRR 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
2019	—	`conf`	Efficient Training on Very Large Corpora via Gramian Estimation. ICLR (Poster) Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang, Xinyang Yi, Lichan Hong, Ed H. Chi, John R. Anderson
2019	J	`jnl`	On the Difficulty of Evaluating Baselines: A Study on Recommender Systems. CoRR Steffen Rendle, Li Zhang, Yehuda Koren
2019	J	`jnl`	Rényi Differential Privacy of the Sampled Gaussian Mechanism. CoRR Ilya Mironov, Kunal Talwar, Li Zhang
2018	J	`jnl`	Differentially Private False Discovery Rate Control. CoRR Cynthia Dwork, Weijie Su, Li Zhang
2018	J	`jnl`	Efficient Training on Very Large Corpora via Gramian Estimation. CoRR Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang, Xinyang Yi, Lichan Hong, Ed H. Chi, John R. Anderson
2018	—	`conf`	Learning Differentially Private Recurrent Language Models. ICLR (Poster) H. Brendan McMahan, Daniel Ramage, Kunal Talwar, Li Zhang
2017	J	`jnl`	Learning Differentially Private Language Models Without Losing Accuracy. CoRR H. Brendan McMahan, Daniel Ramage, Kunal Talwar, Li Zhang
2017	J	`jnl`	On the Protection of Private Information in Machine Learning Systems: Two Recent Approaches. CoRR Martín Abadi, Úlfar Erlingsson, Ian J. Goodfellow, H. Brendan McMahan, Ilya Mironov, Nicolas Papernot, Kunal Talwar, Li Zhang
2017	A	`conf`	On the Protection of Private Information in Machine Learning Systems: Two Recent Approches. CSF Martín Abadi, Úlfar Erlingsson, Ian J. Goodfellow, H. Brendan McMahan, Ilya Mironov, Nicolas Papernot, Kunal Talwar, Li Zhang
2016	A*	`conf`	Deep Learning with Differential Privacy. CCS Martín Abadi, Andy Chu, Ian J. Goodfellow, H. Brendan McMahan, Ilya Mironov, Kunal Talwar, Li Zhang
2016	J	`jnl`	Deep Learning with Differential Privacy. CoRR Martín Abadi, Andy Chu, Ian J. Goodfellow, H. Brendan McMahan, Ilya Mironov, Kunal Talwar, Li Zhang
2016	J	`jnl`	The Geometry of Differential Privacy: The Small Database and Approximate Cases. SIAM J. Comput. Aleksandar Nikolov, Kunal Talwar, Li Zhang
2016	—	`ch.`	Well Separated Pair Decomposition for Unit-Disk Graph. Encyclopedia of Algorithms Jie Gao, Li Zhang
2015	—	`conf`	Nearly Optimal Private LASSO. NIPS Kunal Talwar, Abhradeep Thakurta, Li Zhang
2015	J	`jnl`	Private False Discovery Rate Control. CoRR Cynthia Dwork, Weijie Su, Li Zhang
2014	A*	`conf`	Analyze gauss: optimal bounds for privacy-preserving principal component analysis. STOC Cynthia Dwork, Kunal Talwar, Abhradeep Thakurta, Li Zhang
2014	A*	`conf`	Learning Polynomials with Neural Networks. ICML Alexandr Andoni, Rina Panigrahy, Gregory Valiant, Li Zhang
2014	A*	`conf`	Learning Sparse Polynomial Functions. SODA Alexandr Andoni, Rina Panigrahy, Gregory Valiant, Li Zhang
2014	J	`jnl`	Private Empirical Risk Minimization Beyond the Worst Case: The Effect of the Constraint Set Geometry. CoRR Kunal Talwar, Abhradeep Thakurta, Li Zhang
2013	J	`jnl`	Sybil-proof Mechanisms in Query Incentive Networks CoRR Wei Chen, Yajun Wang, Dongxiao Yu, Li Zhang
2013	A*	`conf`	Sybil-proof mechanisms in query incentive networks. EC Wei Chen, Yajun Wang, Dongxiao Yu, Li Zhang
2013	A*	`conf`	The geometry of differential privacy: the sparse and approximate cases. STOC Aleksandar Nikolov, Kunal Talwar, Li Zhang
2012	A	`conf`	Domain bias in web search. WSDM Samuel Ieong, Nina Mishra, Eldar Sadikov, Li Zhang
2012	J	`jnl`	Multi-track Map Matching CoRR Adel Javanmard, Maya Haridasan, Li Zhang
2012	—	`conf`	Multi-track map matching. SIGSPATIAL/GIS Adel Javanmard, Maya Haridasan, Li Zhang
2012	A	`conf`	Poster: multi-track map matching. MobiSys Adel Javanmard, Maya Haridasan, Li Zhang
2012	J	`jnl`	The Geometry of Differential Privacy: the Sparse and Approximate Cases CoRR Aleksandar Nikolov, Kunal Talwar, Li Zhang
2012	J	`jnl`	The Mind Grows Circuits CoRR Rina Panigrahy, Li Zhang
2012	J	`jnl`	The minimax risk of truncated series estimators for symmetric convex polytopes CoRR Adel Javanmard, Li Zhang
2012	B	`conf`	The minimax risk of truncated series estimators for symmetric convex polytopes. ISIT Adel Javanmard, Li Zhang
2012	A	`conf`	Understanding cyclic trends in social choices. WSDM Anish Das Sarma, Sreenivas Gollapudi, Rina Panigrahy, Li Zhang
2011	J	`jnl`	Proportional response dynamics in the Fisher market. Theor. Comput. Sci. Li Zhang
2010	A*	`conf`	Scalable Influence Maximization in Social Networks under the Linear Threshold Model. ICDM Wei Chen, Yifei Yuan, Li Zhang
2010	A*	`conf`	StarTrack Next Generation: A Scalable Infrastructure for Track-Based Applications. OSDI Maya Haridasan, Iqbal Mohomed, Doug Terry, Chandramohan A. Thekkath, Li Zhang
2010	J	`jnl`	Understanding Fashion Cycles as a Social Choice CoRR Anish Das Sarma, Sreenivas Gollapudi, Rina Panigrahy, Li Zhang
2009	—	`conf`	Proportional Response Dynamics in the Fisher Market. ICALP (2) Li Zhang
2009	J	`jnl`	The Proportional-Share Allocation Market for Computational Resources. IEEE Trans. Parallel Distributed Syst. Michal Feldman, Kevin Lai, Li Zhang
2009	J	`jnl`	Trade-Offs between Stretch Factor and Load-Balancing Ratio in Routing on Growth-Restricted Graphs. IEEE Trans. Parallel Distributed Syst. Jie Gao, Li Zhang
2008	J	`jnl`	Truth-Telling Reservations. Algorithmica Fang Wu, Li Zhang, Bernardo A. Huberman
2008	—	`ch.`	Well Separated Pair Decomposition. Encyclopedia of Algorithms Jie Gao, Li Zhang
2007	J	`jnl`	On incremental rendering of silhouette maps of a polyhedral scene. Comput. Geom. Alon Efrat, Leonidas J. Guibas, Olaf A. Hall-Holt, Li Zhang
2007	A*	`conf`	Proportional response dynamics leads to market equilibrium. STOC Fang Wu, Li Zhang
2006	J	`jnl`	Load-Balanced Short-Path Routing in Wireless Networks. IEEE Trans. Parallel Distributed Syst. Jie Gao, Li Zhang
2005	J	`jnl`	A Price-Anticipating Resource Allocation Mechanism for Distributed Shared Clusters CoRR Michal Feldman, Kevin Lai, Li Zhang
2005	A*	`conf`	A price-anticipating resource allocation mechanism for distributed shared clusters. EC Michal Feldman, Kevin Lai, Li Zhang
2005	J	`jnl`	Ensuring Trust in One Time Exchanges: Solving the QoS Problem CoRR Bernardo A. Huberman, Fang Wu, Li Zhang
2005	A*	`conf`	GLIDER: gradient landmark-based distributed routing for sensor networks. INFOCOM Qing Fang, Jie Gao, Leonidas J. Guibas, Vin de Silva, Li Zhang
2005	J	`jnl`	Geometric spanners for routing in mobile networks. IEEE J. Sel. Areas Commun. Jie Gao, Leonidas J. Guibas, John Hershberger, Li Zhang, An Zhu
2005	A*	`conf`	The Efficiency and Fairness of a Fixed Budget Resource Allocation Game. ICALP Li Zhang
2005	—	`conf`	Truth-Telling Reservations. WINE Fang Wu, Li Zhang, Bernardo A. Huberman
2005	J	`jnl`	Tycoon: An implementation of a distributed, market-based resource allocation system. Multiagent Grid Syst. Kevin Lai, Lars Rasmusson, Eytan Adar, Li Zhang, Bernardo A. Huberman
2005	J	`jnl`	Well-Separated Pair Decomposition for the Unit-Disk Graph Metric and Its Applications. SIAM J. Comput. Jie Gao, Li Zhang
2004	J	`jnl`	Collision detection for deforming necklaces. Comput. Geom. Pankaj K. Agarwal, Leonidas J. Guibas, An Thai Nguyen, Daniel Russel, Li Zhang
2004	—	`conf`	Fractionally cascaded information in a sensor network. IPSN Jie Gao, Leonidas J. Guibas, John Hershberger, Li Zhang
2004	J	`jnl`	Kinetic collision detection between two simple polygons. Comput. Geom. Julien Basch, Jeff Erickson, Leonidas J. Guibas, John Hershberger, Li Zhang
2004	A*	`conf`	Load Balanced Short Path Routing in Wireless Networks. INFOCOM Li Zhang, Jie Gao
2004	A*	`conf`	Tradeoffs between stretch factor and load balancing ratio in routing on growth restricted graphs. PODC Jie Gao, Li Zhang
2004	J	`jnl`	Tycoon: an Implementation of a Distributed, Market-based Resource Allocation System CoRR Kevin Lai, Lars Rasmusson, Eytan Adar, Stephen Sorkin, Li Zhang, Bernardo A. Huberman
2003	J	`jnl`	Discrete Mobile Centers. Discret. Comput. Geom. Jie Gao, Leonidas J. Guibas, John Hershberger, Li Zhang, An Zhu
2003	A*	`conf`	On the complexity of distance-based evolutionary tree reconstruction. SODA Valerie King, Li Zhang, Yunhong Zhou
2003	J	`jnl`	Probabilistic Analysis for Discrete Attributes of Moving Points. Int. J. Comput. Geom. Appl. Julien Basch, Harish Devarajan, Piotr Indyk, Li Zhang
2003	J	`jnl`	TreeJuxtaposer: scalable tree comparison using Focus+Context with guaranteed visibility. ACM Trans. Graph. Tamara Munzner, François Guimbretière, Serdar Tasiran, Li Zhang, Yunhong Zhou
2003	A*	`conf`	Well-separated pair decomposition for the unit-disk graph metric and its applications. STOC Jie Gao, Li Zhang
2003	A*	`conf`	Zonotopes as bounding volumes. SODA Leonidas J. Guibas, An Thanh Nguyen, Li Zhang
2002	—	`conf`	Collision detection for deforming necklaces. SCG Leonidas J. Guibas, An Thanh Nguyen, Daniel Russel, Li Zhang
2002	J	`jnl`	Deformable Free-Space Tilings for Kinetic Collision Detection. Int. J. Robotics Res. Pankaj K. Agarwal, Julien Basch, Leonidas J. Guibas, John Hershberger, Li Zhang
2002	J	`jnl`	Fault-Tolerant Meshes with Small Degree. IEEE Trans. Computers Li Zhang
2002	A	`conf`	Myriad: Cost-Effective Disaster Tolerance. FAST Fay W. Chang, Minwen Ji, Shun-Tak Leung, John MacCormick, Sharon E. Perl, Li Zhang
2002	J	`jnl`	Visibility Queries and Maintenance in Simple Polygons. Discret. Comput. Geom. Boris Aronov, Leonidas J. Guibas, Marek Teichmann, Li Zhang
2001	—	`conf`	Discrete mobile centers. SCG Jie Gao, Leonidas J. Guibas, John Hershberger, Li Zhang, An Zhu
2001	B	`conf`	Geometric spanner for routing in mobile networks. MobiHoc Jie Gao, Leonidas J. Guibas, John Hershberger, Li Zhang, An Zhu
2001	A*	`conf`	Kinetic Collision Detection: Algorithms and Experiments. ICRA Leonidas J. Guibas, Feng Xie, Li Zhang
2001	J	`jnl`	Kinetic Connectivity for Unit Disks. Discret. Comput. Geom. Leonidas J. Guibas, John Hershberger, Subhash Suri, Li Zhang
2000	J	`jnl`	A hierarchical method for real-time distance computation among moving convex bodies. Comput. Geom. Leonidas J. Guibas, David Hsu, Li Zhang
2000	—	`conf`	Compact Voronoi Diagrams for Moving Convex Polygons. SWAT Leonidas J. Guibas, Jack Snoeyink, Li Zhang
2000	—	`conf`	Kinetic connectivity for unit disks. SCG Leonidas J. Guibas, John Hershberger, Subhash Suri, Li Zhang
2000	—	`—`	Kinetic maintenance of proximity structures. Li Zhang
2000	A*	`conf`	On incremental rendering of silhouette maps of polyhedral scene. SODA Alon Efrat, Leonidas J. Guibas, Olaf A. Hall-Holt, Li Zhang
1999	A*	`conf`	Kinetic Collision Detection Between Two Simple Polygons. SODA Julien Basch, Jeff Erickson, Leonidas J. Guibas, John Hershberger, Li Zhang
1999	—	`conf`	Kinetic Data Structures: Animating Proofs Through Time. SCG Julien Basch, João Comba, Leonidas J. Guibas, John Hershberger, Craig Silverstein, Li Zhang
1999	A*	`conf`	Separation-Sensitive Collision Detection for Convex Objects. SODA Jeff Erickson, Leonidas J. Guibas, Jorge Stolfi, Li Zhang
1998	—	`conf`	Euclidean proximity and power diagrams. CCCG Leonidas J. Guibas, Li Zhang
1998	J	`jnl`	Separation-Sensitive Collision Detection for Convex Objects CoRR Jeff Erickson, Leonidas J. Guibas, Jorge Stolfi, Li Zhang
1998	B	`conf`	Visibility Queries in Simple Polygons and Applications. ISAAC Boris Aronov, Leonidas J. Guibas, Marek Teichmann, Li Zhang
1997	—	`conf`	A Practical Evaluation of Kinetic Data Structures. SCG Julien Basch, Leonidas J. Guibas, Craig Silverstein, Li Zhang
1997	—	`conf`	Probabilistic Analysis for Combinatorial Functions of Moving Points. SCG Li Zhang, Harish Devarajan, Julien Basch, Piotr Indyk
1997	—	`conf`	Proximity Problems on Moving Points. SCG Julien Basch, Leonidas J. Guibas, Li Zhang