Xinghao Pan

24 papers A* 1B 2C 1Misc 3Journal 10Unranked 6
YearRankTypeTitle / Venue / Authors
2024 Misc conf
HDPNERF: Hybrid Depth Priors for Neural Radiance Fields from Sparse Input Views.
ICASSP
Wangze Xu, Qi Wang, Xinghao Pan, Ronggang Wang
2024 Misc conf
Improving Learned Video Compression by Exploring Spatial Redundancy.
ICASSP
Jiayu Yang, Chunhui Yang, Yongqi Zhai, Qi Wang, Xinghao Pan, Ronggang Wang
2023 J jnl
Improved Object Detection Method Utilizing YOLOv7-Tiny for Unmanned Aerial Vehicle Photographic Imagery.
Algorithms
Linhua Zhang, Ning Xiong, Xinghao Pan, Xiaodong Yue, Peng Wu, Caiping Guo
2019 — conf
Twitter Homophily: Network Based Prediction of User's Occupation.
ACL (1)
Jiaqi Pan, Rishabh Bhardwaj, Wei Lu, Hai Leong Chieu, Xinghao Pan, Ni Yi Puay
2017 J jnl
Hemingway: Modeling Distributed Optimization Algorithms.
CoRR
Xinghao Pan, Shivaram Venkataraman, Zizheng Tai, Joseph Gonzalez
2017 — —
Parallel Machine Learning Using Concurrency Control.
Xinghao Pan
2017 J jnl
Perturbed Iterate Analysis for Asynchronous Stochastic Optimization.
SIAM J. Optim.
Horia Mania, Xinghao Pan, Dimitris S. Papailiopoulos, Benjamin Recht, Kannan Ramchandran, Michael I. Jordan
2016 J jnl
CYCLADES: Conflict-free Asynchronous Machine Learning.
CoRR
Xinghao Pan, Maximilian Lam, Stephen Tu, Dimitris S. Papailiopoulos, Ce Zhang, Michael I. Jordan, Kannan Ramchandran, Christopher Ré, Benjamin Recht
2015 — conf
Parallel Correlation Clustering on Big Graphs.
NIPS
Xinghao Pan, Dimitris S. Papailiopoulos, Samet Oymak, Benjamin Recht, Kannan Ramchandran, Michael I. Jordan
2015 J jnl
Parallel Correlation Clustering on Big Graphs.
CoRR
Xinghao Pan, Dimitris S. Papailiopoulos, Samet Oymak, Benjamin Recht, Kannan Ramchandran, Michael I. Jordan
2015 J jnl
Perturbed Iterate Analysis for Asynchronous Stochastic Optimization.
CoRR
Horia Mania, Xinghao Pan, Dimitris S. Papailiopoulos, Benjamin Recht, Kannan Ramchandran, Michael I. Jordan
2014 — conf
Parallel Double Greedy Submodular Maximization.
NIPS
Xinghao Pan, Stefanie Jegelka, Joseph E. Gonzalez, Joseph K. Bradley, Michael I. Jordan
2013 J jnl
Conditions for Convergence in Regularized Machine Learning Objectives
CoRR
Patrick Hop, Xinghao Pan
2013 A* conf
MLI: An API for Distributed Machine Learning.
ICDM
Evan Randall Sparks, Ameet Talwalkar, Virginia Smith, Jey Kottalam, Xinghao Pan, Joseph E. Gonzalez, Michael J. Franklin, Michael I. Jordan, Tim Kraska
2013 J jnl
MLI: An API for Distributed Machine Learning.
CoRR
Evan Randall Sparks, Ameet Talwalkar, Virginia Smith, Jey Kottalam, Xinghao Pan, Joseph E. Gonzalez, Michael J. Franklin, Michael I. Jordan, Tim Kraska
2013 — conf
Optimistic Concurrency Control for Distributed Unsupervised Learning.
NIPS
Xinghao Pan, Joseph E. Gonzalez, Stefanie Jegelka, Tamara Broderick, Michael I. Jordan
2013 J jnl
Optimistic Concurrency Control for Distributed Unsupervised Learning.
CoRR
Xinghao Pan, Joseph E. Gonzalez, Stefanie Jegelka, Tamara Broderick, Michael I. Jordan
2012 C conf
A cognitive system for adaptive decision making.
FUSION
Xinghao Pan, Loo-Nin Teow, Kheng Hwee Tan, Ji Hua Brian Ang, Gee Wah Ng
2012 Misc conf
City-scale traffic estimation from a roving sensor network.
SenSys
Javed A. Aslam, Sejoon Lim, Xinghao Pan, Daniela Rus
2010 B conf
Kahuna: Problem diagnosis for Mapreduce-based cloud computing environments.
NOMS
Jiaqi Tan, Xinghao Pan, Eugene Marinelli, Soila Kavulya, Rajeev Gandhi, Priya Narasimhan
2009 B conf
ASDF: An Automated, Online Framework for Diagnosing Performance Problems.
WADS
Keith A. Bare, Soila Kavulya, Jiaqi Tan, Xinghao Pan, Eugene Marinelli, Michael P. Kasick, Rajeev Gandhi, Priya Narasimhan
2009 J jnl
Ganesha: blackBox diagnosis of MapReduce systems.
SIGMETRICS Perform. Evaluation Rev.
Xinghao Pan, Jiaqi Tan, Soila Kavulya, Rajeev Gandhi, Priya Narasimhan
2009 — conf
Mochi: Visual Log-Analysis Based Tools for Debugging Hadoop.
HotCloud
Jiaqi Tan, Xinghao Pan, Soila Kavulya, Rajeev Gandhi, Priya Narasimhan
2008 — conf
SALSA: Analyzing Logs as StAte Machines.
WASL
Jiaqi Tan, Xinghao Pan, Soila Kavulya, Rajeev Gandhi, Priya Narasimhan