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 001; Kees A. Vissers; Sharad Malik (IEEE Des. Test Comput., 2002)

An automated exploration framework for FPGA-based soft multiprocessor systems. - Yujia Jin; Nadathur Satish; Kaushik Ravindran; Kurt Keutzer (CODES+ISSS, 2005)

Soft multiprocessor systems for network applications (abstract only). - Yujia Jin; William Plishker; Kaushik Ravindran; Nadathur Satish; Kurt Keutzer (FPGA, 2005)

An FPGA-based Soft Multiprocessor System for IPv4 Packet Forwarding. - Kaushik Ravindran; Nadathur Satish; Yujia Jin; Kurt Keutzer (FPL, 2005)

Application of Modified OPTICS Algorithm in E-Commerce Sites Classification and Evaluation. - Zhuoxi Yu; Yujia Jin; Milan Deepak Parmar; Limin Wang 011 (J. Electron. Commer. Organ., 2016)

Maximum matchings and minimum dominating sets in Apollonian networks and extended Tower of Hanoi graphs. - Yujia Jin; Huan Li 002; Zhongzhi Zhang (Theor. Comput. Sci., 2017)

Forest Distance Closeness Centrality in Disconnected Graphs. - Yujia Jin; Qi Bao; Zhongzhi Zhang (ICDM, 2019)

Variance Reduction for Matrix Games. - Yair Carmon; Yujia Jin; Aaron Sidford; Kevin Tian (NeurIPS, 2019)

Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG. - Yujia Jin; Aaron Sidford (NeurIPS, 2019)

Coordinate Methods for Matrix Games. - Yair Carmon; Yujia Jin; Aaron Sidford; Kevin Tian (FOCS, 2020)

Efficiently Solving MDPs with Stochastic Mirror Descent. - Yujia Jin; Aaron Sidford (ICML, 2020)

A Mandarin L2 Learning APP with Mispronunciation Detection and Feedback. - Yanlu Xie; Xiaoli Feng; Boxue Li; Jinsong Zhang 001; Yujia Jin (INTERSPEECH, 2020)

Acceleration with a Ball Optimization Oracle. - Yair Carmon; Arun Jambulapati; Qijia Jiang; Yujia Jin; Yin Tat Lee; Aaron Sidford; Kevin Tian (NeurIPS, 2020)

Semi-Streaming Bipartite Matching in Fewer Passes and Less Space. - Yujia Jin; Aaron Sidford; Kevin Tian (CoRR, 2020)

Thinking Inside the Ball: Near-Optimal Minimization of the Maximal Loss. - Yair Carmon; Arun Jambulapati; Yujia Jin; Aaron Sidford (COLT, 2021)

Towards Tight Bounds on the Sample Complexity of Average-reward MDPs. - Yujia Jin; Aaron Sidford (ICML, 2021)

Stochastic Bias-Reduced Gradient Methods. - Hilal Asi; Yair Carmon; Arun Jambulapati; Yujia Jin; Aaron Sidford (NeurIPS, 2021)

A Unified Framework for Multi-distribution Density Ratio Estimation. - Lantao Yu; Yujia Jin; Stefano Ermon (CoRR, 2021)

Sharper Rates for Separable Minimax and Finite Sum Optimization via Primal-Dual Extragradient Methods. - Yujia Jin; Aaron Sidford; Kevin Tian (COLT, 2022)

Regularized Box-Simplex Games and Dynamic Decremental Bipartite Matching. - Arun Jambulapati; Yujia Jin; Aaron Sidford; Kevin Tian (ICALP, 2022)

RECAPP: Crafting a More Efficient Catalyst for Convex Optimization. - Yair Carmon; Arun Jambulapati; Yujia Jin; Aaron Sidford (ICML, 2022)

A VR Interactive 3D Mandarin Pronunciation Teaching Model. - Yujia Jin; Yanlu Xie; Jinsong Zhang 001 (INTERSPEECH, 2022)

Optimal and Adaptive Monteiro-Svaiter Acceleration. - Yair Carmon; Danielle Hausler; Arun Jambulapati; Yujia Jin; Aaron Sidford (NeurIPS, 2022)

Semi-Streaming Bipartite Matching in Fewer Passes and Optimal Space. - Sepehr Assadi; Arun Jambulapati; Yujia Jin; Aaron Sidford; Kevin Tian (SODA, 2022)

VOQL: Towards Optimal Regret in Model-free RL with Nonlinear Function Approximation. - Alekh Agarwal; Yujia Jin; Tong Zhang 001 (COLT, 2023)

Moments, Random Walks, and Limits for Spectrum Approximation. - Yujia Jin; Christopher Musco; Aaron Sidford; Apoorv Vikram Singh (COLT, 2023)

ReSQueing Parallel and Private Stochastic Convex Optimization. - Yair Carmon; Arun Jambulapati; Yujia Jin; Yin Tat Lee; Daogao Liu; Aaron Sidford; Kevin Tian (FOCS, 2023)

Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs Sampling. - Adam Bouland; Yosheb M. Getachew; Yujia Jin; Aaron Sidford; Kevin Tian (ICML, 2023)

The Complexity of Infinite-Horizon General-Sum Stochastic Games. - Yujia Jin; Vidya Muthukumar; Aaron Sidford (ITCS, 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)

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)

Faster Spectral Density Estimation and Sparsification in the Nuclear Norm (Extended Abstract). - Yujia Jin; Ishani Karmarkar; Christopher Musco; Aaron Sidford; Apoorv Vikram Singh (COLT, 2024)

Truncated Variance Reduced Value Iteration. - Yujia Jin; Ishani Karmarkar; Aaron Sidford; Jiayi Wang (NeurIPS, 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 (SODA, 2024)

Faster Spectral Density Estimation and Sparsification in the Nuclear Norm. - Yujia Jin; Ishani Karmarkar; Christopher Musco; Aaron Sidford; Apoorv Vikram Singh (CoRR, 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)

Low-Cost MLS-Based Forest Plot Mapping via Feature Graph Registration. - Qin Ye; Yujia Jin; Junqi Luo (IEEE Geosci. Remote. Sens. Lett., 2025)

Catoni Contextual Bandits are Robust to Heavy-tailed Rewards. - Chenlu Ye; Yujia Jin; Alekh Agarwal; Tong Zhang 001 (CoRR, 2025)