Yujia Jin - RankMe

61 papers A* 22A 4B 1Misc 1Journal 33

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Catoni Contextual Bandits are Robust to Heavy-tailed Rewards. ICML Chenlu Ye, Yujia Jin, Alekh Agarwal, Tong Zhang
2025	J	`jnl`	Catoni Contextual Bandits are Robust to Heavy-tailed Rewards. CoRR Chenlu Ye, Yujia Jin, Alekh Agarwal, Tong Zhang
2025	J	`jnl`	Low-Cost MLS-Based Forest Plot Mapping via Feature Graph Registration. IEEE Geosci. Remote. Sens. Lett. Qin Ye, Yujia Jin, Junqi Luo
2025	J	`jnl`	Reusing Samples in Variance Reduction. CoRR Yujia Jin, Ishani Karmarkar, Aaron Sidford, Jiayi Wang
2025	J	`jnl`	The effectiveness of eHealth-based cardiovascular disease risk communication: a systematic review and meta-analysis. npj Digit. Medicine Yujia Jin, Yunjing Qiu, Qiushi Zhang, Liam P. Allan, Kiran Bam, Zhiting Guo, Muideen T. Olaiya, Mi Yao, Dominique A. Cadilhac, Beilei Lin
2024	A*	`conf`	A Whole New Ball Game: A Primal Accelerated Method for Matrix Games and Minimizing the Maximum of Smooth Functions. SODA Yair Carmon, Arun Jambulapati, Yujia Jin, Aaron Sidford
2024	A*	`conf`	Faster Spectral Density Estimation and Sparsification in the Nuclear Norm (Extended Abstract). COLT Yujia Jin, Ishani Karmarkar, Christopher Musco, Aaron Sidford, Apoorv Vikram Singh
2024	J	`jnl`	Faster Spectral Density Estimation and Sparsification in the Nuclear Norm. CoRR Yujia Jin, Ishani Karmarkar, Christopher Musco, Aaron Sidford, Apoorv Vikram Singh
2024	J	`jnl`	Positioning Objects From Large Oblique Ultralong Focal Length UAV Imagery. IEEE Geosci. Remote. Sens. Lett. Junqi Luo, Qin Ye, Zexin Yang, Yujia Jin
2024	A*	`conf`	Truncated Variance Reduced Value Iteration. NeurIPS Yujia Jin, Ishani Karmarkar, Aaron Sidford, Jiayi Wang
2024	J	`jnl`	Truncated Variance Reduced Value Iteration. CoRR Yujia Jin, Ishani Karmarkar, Aaron Sidford, Jiayi Wang
2023	J	`jnl`	A Whole New Ball Game: A Primal Accelerated Method for Matrix Games and Minimizing the Maximum of Smooth Functions. CoRR Yair Carmon, Arun Jambulapati, Yujia Jin, Aaron Sidford
2023	A*	`conf`	Moments, Random Walks, and Limits for Spectrum Approximation. COLT Yujia Jin, Christopher Musco, Aaron Sidford, Apoorv Vikram Singh
2023	J	`jnl`	Moments, Random Walks, and Limits for Spectrum Approximation. CoRR Yujia Jin, Christopher Musco, Aaron Sidford, Apoorv Vikram Singh
2023	J	`jnl`	Prediction of environmental factors in seafood cold chain transportation based on IAGA-ELM algorithm. Int. J. Simul. Process. Model. Xu E, Yujia Jin, Yinong Chen, Shenghui Zhao, Yang Wang
2023	J	`jnl`	Prediction of environmental factors in seafood cold chain transportation based on IAGA-ELM algorithm. Int. J. Simul. Process. Model. Shenghui Zhao, Yang Wang, Yinong Chen, Yujia Jin, N. A. Xu E
2023	A*	`conf`	Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs Sampling. ICML Adam Bouland, Yosheb M. Getachew, Yujia Jin, Aaron Sidford, Kevin Tian
2023	J	`jnl`	Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs Sampling. CoRR Adam Bouland, Yosheb Getachew, Yujia Jin, Aaron Sidford, Kevin Tian
2023	A*	`conf`	ReSQueing Parallel and Private Stochastic Convex Optimization. FOCS Yair Carmon, Arun Jambulapati, Yujia Jin, Yin Tat Lee, Daogao Liu, Aaron Sidford, Kevin Tian
2023	J	`jnl`	ReSQueing Parallel and Private Stochastic Convex Optimization. CoRR Yair Carmon, Arun Jambulapati, Yujia Jin, Yin Tat Lee, Daogao Liu, Aaron Sidford, Kevin Tian
2023	A	`conf`	The Complexity of Infinite-Horizon General-Sum Stochastic Games. ITCS Yujia Jin, Vidya Muthukumar, Aaron Sidford
2023	A*	`conf`	VOQL: Towards Optimal Regret in Model-free RL with Nonlinear Function Approximation. COLT Alekh Agarwal, Yujia Jin, Tong Zhang
2022	A	`conf`	A VR Interactive 3D Mandarin Pronunciation Teaching Model. INTERSPEECH Yujia Jin, Yanlu Xie, Jinsong Zhang
2022	A*	`conf`	Optimal and Adaptive Monteiro-Svaiter Acceleration. NeurIPS Yair Carmon, Danielle Hausler, Arun Jambulapati, Yujia Jin, Aaron Sidford
2022	J	`jnl`	Optimal and Adaptive Monteiro-Svaiter Acceleration. CoRR Yair Carmon, Danielle Hausler, Arun Jambulapati, Yujia Jin, Aaron Sidford
2022	A*	`conf`	RECAPP: Crafting a More Efficient Catalyst for Convex Optimization. ICML Yair Carmon, Arun Jambulapati, Yujia Jin, Aaron Sidford
2022	J	`jnl`	RECAPP: Crafting a More Efficient Catalyst for Convex Optimization. CoRR Yair Carmon, Arun Jambulapati, Yujia Jin, Aaron Sidford
2022	A*	`conf`	Regularized Box-Simplex Games and Dynamic Decremental Bipartite Matching. ICALP Arun Jambulapati, Yujia Jin, Aaron Sidford, Kevin Tian
2022	J	`jnl`	Regularized Box-Simplex Games and Dynamic Decremental Bipartite Matching. CoRR Arun Jambulapati, Yujia Jin, Aaron Sidford, Kevin Tian
2022	A*	`conf`	Semi-Streaming Bipartite Matching in Fewer Passes and Optimal Space. SODA Sepehr Assadi, Arun Jambulapati, Yujia Jin, Aaron Sidford, Kevin Tian
2022	A*	`conf`	Sharper Rates for Separable Minimax and Finite Sum Optimization via Primal-Dual Extragradient Methods. COLT Yujia Jin, Aaron Sidford, Kevin Tian
2022	J	`jnl`	Sharper Rates for Separable Minimax and Finite Sum Optimization via Primal-Dual Extragradient Methods. CoRR Yujia Jin, Aaron Sidford, Kevin Tian
2022	J	`jnl`	The Complexity of Infinite-Horizon General-Sum Stochastic Games. CoRR Yujia Jin, Vidya Muthukumar, Aaron Sidford
2022	J	`jnl`	VOQL: Towards Optimal Regret in Model-free RL with Nonlinear Function Approximation. CoRR Alekh Agarwal, Yujia Jin, Tong Zhang
2021	J	`jnl`	A Unified Framework for Multi-distribution Density Ratio Estimation. CoRR Lantao Yu, Yujia Jin, Stefano Ermon
2021	A*	`conf`	Stochastic Bias-Reduced Gradient Methods. NeurIPS Hilal Asi, Yair Carmon, Arun Jambulapati, Yujia Jin, Aaron Sidford
2021	J	`jnl`	Stochastic Bias-Reduced Gradient Methods. CoRR Hilal Asi, Yair Carmon, Arun Jambulapati, Yujia Jin, Aaron Sidford
2021	A*	`conf`	Thinking Inside the Ball: Near-Optimal Minimization of the Maximal Loss. COLT Yair Carmon, Arun Jambulapati, Yujia Jin, Aaron Sidford
2021	J	`jnl`	Thinking Inside the Ball: Near-Optimal Minimization of the Maximal Loss. CoRR Yair Carmon, Arun Jambulapati, Yujia Jin, Aaron Sidford
2021	A*	`conf`	Towards Tight Bounds on the Sample Complexity of Average-reward MDPs. ICML Yujia Jin, Aaron Sidford
2021	J	`jnl`	Towards Tight Bounds on the Sample Complexity of Average-reward MDPs. CoRR Yujia Jin, Aaron Sidford
2020	A	`conf`	A Mandarin L2 Learning APP with Mispronunciation Detection and Feedback. INTERSPEECH Yanlu Xie, Xiaoli Feng, Boxue Li, Jinsong Zhang, Yujia Jin
2020	A*	`conf`	Acceleration with a Ball Optimization Oracle. NeurIPS Yair Carmon, Arun Jambulapati, Qijia Jiang, Yujia Jin, Yin Tat Lee, Aaron Sidford, Kevin Tian
2020	J	`jnl`	Acceleration with a Ball Optimization Oracle. CoRR Yair Carmon, Arun Jambulapati, Qijia Jiang, Yujia Jin, Yin Tat Lee, Aaron Sidford, Kevin Tian
2020	A*	`conf`	Coordinate Methods for Matrix Games. FOCS Yair Carmon, Yujia Jin, Aaron Sidford, Kevin Tian
2020	J	`jnl`	Coordinate Methods for Matrix Games. CoRR Yair Carmon, Yujia Jin, Aaron Sidford, Kevin Tian
2020	A*	`conf`	Efficiently Solving MDPs with Stochastic Mirror Descent. ICML Yujia Jin, Aaron Sidford
2020	J	`jnl`	Efficiently Solving MDPs with Stochastic Mirror Descent. CoRR Yujia Jin, Aaron Sidford
2020	J	`jnl`	Semi-Streaming Bipartite Matching in Fewer Passes and Less Space. CoRR Yujia Jin, Aaron Sidford, Kevin Tian
2019	A*	`conf`	Forest Distance Closeness Centrality in Disconnected Graphs. ICDM Yujia Jin, Qi Bao, Zhongzhi Zhang
2019	A*	`conf`	Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG. NeurIPS Yujia Jin, Aaron Sidford
2019	J	`jnl`	Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG. CoRR Yujia Jin, Aaron Sidford
2019	A*	`conf`	Variance Reduction for Matrix Games. NeurIPS Yair Carmon, Yujia Jin, Aaron Sidford, Kevin Tian
2019	J	`jnl`	Variance Reduction for Matrix Games. CoRR Yair Carmon, Yujia Jin, Aaron Sidford, Kevin Tian
2017	J	`jnl`	Maximum matchings and minimum dominating sets in Apollonian networks and extended Tower of Hanoi graphs. CoRR Yujia Jin, Huan Li, Zhongzhi Zhang
2017	J	`jnl`	Maximum matchings and minimum dominating sets in Apollonian networks and extended Tower of Hanoi graphs. Theor. Comput. Sci. Yujia Jin, Huan Li, Zhongzhi Zhang
2016	J	`jnl`	Application of Modified OPTICS Algorithm in E-Commerce Sites Classification and Evaluation. J. Electron. Commer. Organ. Zhuoxi Yu, Yujia Jin, Milan Deepak Parmar, Limin Wang
2005	B	`conf`	An FPGA-based Soft Multiprocessor System for IPv4 Packet Forwarding. FPL Kaushik Ravindran, Nadathur Satish, Yujia Jin, Kurt Keutzer
2005	Misc	`conf`	An automated exploration framework for FPGA-based soft multiprocessor systems. CODES+ISSS Yujia Jin, Nadathur Satish, Kaushik Ravindran, Kurt Keutzer
2005	A	`conf`	Soft multiprocessor systems for network applications (abstract only). FPGA Yujia Jin, William Plishker, Kaushik Ravindran, Nadathur Satish, Kurt Keutzer
2002	J	`jnl`	Developing Architectural Platforms: A Disciplined Approach. IEEE Des. Test Comput. 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