Yujia Jin

According to our database, Yujia Jin authored at least 36 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Positioning Objects From Large Oblique Ultralong Focal Length UAV Imagery.

Junqi Luo, Qin Ye, Zexin Yang, Yujia Jin

IEEE Geosci. Remote. Sens. Lett., 2024

Faster Spectral Density Estimation and Sparsification in the Nuclear Norm.

Yujia Jin, Ishani Karmarkar, Christopher Musco, Aaron Sidford, Apoorv Vikram Singh

CoRR, 2024

Truncated Variance Reduced Value Iteration.

Yujia Jin, Ishani Karmarkar, Aaron Sidford, Jiayi Wang

CoRR, 2024

A Whole New Ball Game: A Primal Accelerated Method for Matrix Games and Minimizing the Maximum of Smooth Functions.

Yair Carmon, Arun Jambulapati, Yujia Jin, Aaron Sidford

Proceedings of the 2024 ACM-SIAM Symposium on Discrete Algorithms, 2024

Faster Spectral Density Estimation and Sparsification in the Nuclear Norm (Extended Abstract).

Yujia Jin, Ishani Karmarkar, Christopher Musco, Aaron Sidford, Apoorv Vikram Singh

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023

Prediction of environmental factors in seafood cold chain transportation based on IAGA-ELM algorithm.

Shenghui Zhao, Yang Wang, Yinong Chen, Yujia Jin, N. A. Xu E

Int. J. Simul. Process. Model., 2023

Prediction of environmental factors in seafood cold chain transportation based on IAGA-ELM algorithm.

Xu E, Yujia Jin, Yinong Chen, Shenghui Zhao, Yang Wang

Int. J. Simul. Process. Model., 2023

The Complexity of Infinite-Horizon General-Sum Stochastic Games.

Yujia Jin, Vidya Muthukumar, Aaron Sidford

Proceedings of the 14th Innovations in Theoretical Computer Science Conference, 2023

Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs Sampling.

Adam Bouland, Yosheb M. Getachew, Yujia Jin, Aaron Sidford, Kevin Tian

Proceedings of the International Conference on Machine Learning, 2023

ReSQueing Parallel and Private Stochastic Convex Optimization.

Yair Carmon, Arun Jambulapati, Yujia Jin, Yin Tat Lee, Daogao Liu, Aaron Sidford, Kevin Tian

Proceedings of the 64th IEEE Annual Symposium on Foundations of Computer Science, 2023

Moments, Random Walks, and Limits for Spectrum Approximation.

Yujia Jin, Christopher Musco, Aaron Sidford, Apoorv Vikram Singh

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

VOQL: Towards Optimal Regret in Model-free RL with Nonlinear Function Approximation.

Alekh Agarwal, Yujia Jin, Tong Zhang

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022

Semi-Streaming Bipartite Matching in Fewer Passes and Optimal Space.

Sepehr Assadi, Arun Jambulapati, Yujia Jin, Aaron Sidford, Kevin Tian

Proceedings of the 2022 ACM-SIAM Symposium on Discrete Algorithms, 2022

Optimal and Adaptive Monteiro-Svaiter Acceleration.

Yair Carmon, Danielle Hausler, Arun Jambulapati, Yujia Jin, Aaron Sidford

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A VR Interactive 3D Mandarin Pronunciation Teaching Model.

Yujia Jin, Yanlu Xie, Jinsong Zhang

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

RECAPP: Crafting a More Efficient Catalyst for Convex Optimization.

Yair Carmon, Arun Jambulapati, Yujia Jin, Aaron Sidford

Proceedings of the International Conference on Machine Learning, 2022

Regularized Box-Simplex Games and Dynamic Decremental Bipartite Matching.

Arun Jambulapati, Yujia Jin, Aaron Sidford, Kevin Tian

Proceedings of the 49th International Colloquium on Automata, Languages, and Programming, 2022

Sharper Rates for Separable Minimax and Finite Sum Optimization via Primal-Dual Extragradient Methods.

Yujia Jin, Aaron Sidford, Kevin Tian

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2021

A Unified Framework for Multi-distribution Density Ratio Estimation.

Lantao Yu, Yujia Jin, Stefano Ermon

CoRR, 2021

Stochastic Bias-Reduced Gradient Methods.

Hilal Asi, Yair Carmon, Arun Jambulapati, Yujia Jin, Aaron Sidford

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Towards Tight Bounds on the Sample Complexity of Average-reward MDPs.

Yujia Jin, Aaron Sidford

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

Thinking Inside the Ball: Near-Optimal Minimization of the Maximal Loss.

Yair Carmon, Arun Jambulapati, Yujia Jin, Aaron Sidford

Proceedings of the Conference on Learning Theory, 2021

2020

Semi-Streaming Bipartite Matching in Fewer Passes and Less Space.

Yujia Jin, Aaron Sidford, Kevin Tian

CoRR, 2020

Acceleration with a Ball Optimization Oracle.

Yair Carmon, Arun Jambulapati, Qijia Jiang, Yujia Jin, Yin Tat Lee, Aaron Sidford, Kevin Tian

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

A Mandarin L2 Learning APP with Mispronunciation Detection and Feedback.

Yanlu Xie, Xiaoli Feng, Boxue Li, Jinsong Zhang, Yujia Jin

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Efficiently Solving MDPs with Stochastic Mirror Descent.

Yujia Jin, Aaron Sidford

Proceedings of the 37th International Conference on Machine Learning, 2020

Coordinate Methods for Matrix Games.

Yair Carmon, Yujia Jin, Aaron Sidford, Kevin Tian

Proceedings of the 61st IEEE Annual Symposium on Foundations of Computer Science, 2020

2019

Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG.

Yujia Jin, Aaron Sidford

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Variance Reduction for Matrix Games.

Yair Carmon, Yujia Jin, Aaron Sidford, Kevin Tian

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Forest Distance Closeness Centrality in Disconnected Graphs.

Yujia Jin, Qi Bao, Zhongzhi Zhang

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2017

Maximum matchings and minimum dominating sets in Apollonian networks and extended Tower of Hanoi graphs.

Yujia Jin, Huan Li, Zhongzhi Zhang

Theor. Comput. Sci., 2017

2016

Application of Modified OPTICS Algorithm in E-Commerce Sites Classification and Evaluation.

Zhuoxi Yu, Yujia Jin, Milan Deepak Parmar, Limin Wang

J. Electron. Commer. Organ., 2016

2005

An FPGA-based Soft Multiprocessor System for IPv4 Packet Forwarding.

Kaushik Ravindran, Nadathur Satish, Yujia Jin, Kurt Keutzer

Proceedings of the 2005 International Conference on Field Programmable Logic and Applications (FPL), 2005

Soft multiprocessor systems for network applications (abstract only).

Yujia Jin, William Plishker, Kaushik Ravindran, Nadathur Satish, Kurt Keutzer

Proceedings of the ACM/SIGDA 13th International Symposium on Field Programmable Gate Arrays, 2005

An automated exploration framework for FPGA-based soft multiprocessor systems.

Yujia Jin, Nadathur Satish, Kaushik Ravindran, Kurt Keutzer

Proceedings of the 3rd IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis, 2005

2002

Developing Architectural Platforms: A Disciplined Approach.

Andrew Mihal, Chidamber Kulkarni, Matthew W. Moskewicz, Mel M. Tsai, Niraj Shah, Scott J. Weber, Yujia Jin, Kurt Keutzer, Christian Sauer, Kees A. Vissers, Sharad Malik

IEEE Des. Test Comput., 2002