Yang You · National University of Singapore

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Academic lineage

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Students and postdocs10

Liu Yong
PhD student · until 2026 · National University of Singapore
From a thesis record ↗
Cheng Shenggan
PhD student · until 2026 · National University of Singapore
From a thesis record ↗
Lin Ruixi
PhD student · until 2025 · National University of Singapore
From a thesis record ↗
Zhao Wangbo
PhD student · until 2025 · National University of Singapore
From a thesis record ↗
Qin Ziheng
PhD student · until 2025 · National University of Singapore
From a thesis record ↗
Peng Xiangyu
PhD student · until 2024 · National University of Singapore
From a thesis record ↗
Zheng Zangwei
PhD student · until 2024 · National University of Singapore
From a thesis record ↗
Xue Fuzhao
PhD student · until 2024 · National University of Singapore
From a thesis record ↗

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Shen Chenhui
PhD student · until 2024 · National University of Singapore
From a thesis record ↗
Wang Kai
PhD student · until 2024 · National University of Singapore
From a thesis record ↗

Works128 from public data

TitleCited by

Large Batch Training of Convolutional Networks
arXiv · 2017
490
ImageNet Training in Minutes
Yang You, Zhao Zhang, Cho-Jui Hsieh, J. Demmel, K. Keutzer
Proceedings of the International Conference on Parallel Processing · 2018
473
Scaling SGD Batch Size to 32K for ImageNet Training.
Yang You, Igor Gitman, Boris Ginsburg
arXiv · 2017
425
Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training
Shenggui Li, Zheng-Da Bian, Hongxin Liu, Boxiang Wang, Haichen Huang, Yongbin Li, Chuan-Qing Wang, Fan Cui, +1 more
Proceedings of the International Conference on Parallel Processing · 2023
237
OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models
Fuzhao Xue, Zian Andy Zheng, Yao Fu, Jinjie Ni, Zangwei Zheng, Wangchunshu Zhou, Yang You
arXiv · 2024
232
Sequence Parallelism: Long Sequence Training from System Perspective
Shenggui Li, Fuzhao Xue, Chaitanya Baranwal, Yongbin Li, Yang You
Annual Meeting of the Association for Computational Linguistics (ACL) · 2023
209
Towards Efficient and Scalable Sharpness-Aware Minimization
Y. Liu, Siqi Mai, Xiangning Chen, Cho-Jui Hsieh, Yang You
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2022
183
Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching
Ziyao Guo, Kai Wang, George Cazenavette, Hui Li, Kai-Peng Zhang, Yang You
arXiv · 2023
165
CAFE: Learning to Condense Dataset by Aligning Features
Kai Wang, Bo Zhao, Xiangyu Peng, Zheng Zhu, Shuo Yang, Shuo Wang, Guan Huang, Hakan Bilen, +2 more
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2022
165
Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models
Zangwei Zheng, Mingyu Ma, Kai Wang, Ziheng Qin, Xiangyu Yue, Yang You
IEEE/CVF International Conference on Computer Vision (ICCV) · 2023
162
Large Batch Optimization for Deep Learning: Training BERT in 76 minutes
arXiv · 2019
160
Crafting Better Contrastive Views for Siamese Representation Learning
Xiang Peng, Kai Wang, Zheng Hua Zhu, Mang Wang, Yang You
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2022
135
DREAM: Efficient Dataset Distillation by Representative Matching
Yanqing Liu, Jianyang Gu, Kai Wang, Zheng Hua Zhu, Wei Jiang, Yang You
IEEE/CVF International Conference on Computer Vision (ICCV) · 2023
130
Reducing BERT Pre-Training Time from 3 Days to 76 Minutes
Yang You, Jing Li, Jonathan Hseu, Xiaodan Song, J. Demmel, Cho-Jui Hsieh
arXiv · 2019
127
InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning
Ziheng Qin, K. Wang, Zangwei Zheng, Jianyang Gu, Xiang Peng, Zhao-Pan Xu, Daquan Zhou, Lei Shang, +3 more
arXiv · 2023
117
Go Wider Instead of Deeper
Fuzhao Xue, Ziji Shi, F. Wei, Yuxuan Lou, Yong Liu, Yang You
Proceedings of the AAAI Conference on Artificial Intelligence · 2022
112
Large-batch training for LSTM and beyond
Yang You, Jonathan Hseu, Chris Ying, J. Demmel, K. Keutzer, Cho-Jui Hsieh
2012 International Conference for High Performance Computing, Networking, Storage and Analysis · 2019
101
MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID
Jianyang Gu, Kai Wang, Haowen Luo, Chen Chen, Wei Jiang, Yuqiang Fang, Shang Zhang, Yang You, +1 more
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2023
99
Efficient Dataset Distillation via Minimax Diffusion
Jianyang Gu, Saeed Vahidian, Vyacheslav Kungurtsev, Haonan Wang, Wei Jiang, Yang You, Yi-Ran Chen
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2024
98
Scaling deep learning on GPU and knights landing clusters
Yang You, Aydın Buluç, J. Demmel
2012 International Conference for High Performance Computing, Networking, Storage and Analysis · 2017
83
BiCro: Noisy Correspondence Rectification for Multi-modality Data via Bi-directional Cross-modal Similarity Consistency
Shuo Yang, Zhao-Pan Xu, Kai Wang, Yang You, Hongxun Yao, Tong-Liang Liu, Min Xu
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2023
74
Hanayo: Harnessing Wave-like Pipeline Parallelism for Enhanced Large Model Training Efficiency
Zi-Ming Liu, Shenggan Cheng, Hao Zhou, Yang You
2012 International Conference for High Performance Computing, Networking, Storage and Analysis · 2023
70
Dataset Quantization
Daquan Zhou, Kai Wang, Jianyang Gu, Xiang Peng, Dongze Lian, Yifan Zhang, Yang You, Jiashi Feng
IEEE/CVF International Conference on Computer Vision (ICCV) · 2023
69
DiM: Distilling Dataset into Generative Model
Kai Wang, Jianyang Gu, Han-Song Zhang, Da-Quan Zhou, Zheng Hua Zhu, Wei Jiang, Yang You
arXiv · 2023
64
An Efficient 2D Method for Training Super-Large Deep Learning Models
Qifan Xu, Shenggui Li, Chaoyu Gong, Yang You
Proceedings - IEEE International Parallel and Distributed Processing Symposium · 2023
62
100-epoch ImageNet Training with AlexNet in 24 Minutes.
Yang You, Zhao Zhang, Cho-Jui Hsieh, J. Demmel, K. Keutzer
arXiv · 2017
61
Tesseract: Parallelize the Tensor Parallelism Efficiently
Boxiang Wang, Qifan Xu, Zheng-Da Bian, Yang You
Proceedings of the International Conference on Parallel Processing · 2022
59
Fast Deep Neural Network Training on Distributed Systems and Cloud TPUs
Yang You, Zhao Zhang, Cho-Jui Hsieh, J. Demmel, K. Keutzer
IEEE Transactions on Parallel and Distributed Systems · 2019
58
Online evolutionary batch size orchestration for scheduling deep learning workloads in GPU clusters
Zheng-Da Bian, Shenggui Li, Wei Wang, Yang You
2012 International Conference for High Performance Computing, Networking, Storage and Analysis · 2021
56
Parallel Training of Pre-Trained Models via Chunk-Based Dynamic Memory Management
Jiarui Fang, Zi-Lin Zhu, Shenggui Li, Hui Su, Yang Yu, Jie Zhou, Yang You
IEEE Transactions on Parallel and Distributed Systems · 2022
53
MReD: A Meta-Review Dataset for Structure-Controllable Text Generation
Chen-Hui Shen, Liying Cheng, Ran Zhou, Lidong Bing, Yang You, Luo Si
Findings of the Association for Computational Linguistics: ACL 2022 · 2022
53
An Evidential Multi-Target Domain Adaptation Method Based on Weighted Fusion for Cross-Domain Pattern Classification
Lin-Qing Huang, Wang-Bo Zhao, Y. Liu, Duo Yang, Alan Wee-Chung Liew, Yang You
IEEE Transactions on Neural Networks and Learning Systems · 2023
49
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors
Jianfei Yang, Xiang-Yu Peng, K. Wang, Zheng Hua Zhu, Jiashi Feng, Li-Hua Xie, Yang You
arXiv · 2022
48
Evidential instance selection for K-nearest neighbor classification of big data
Chaoyu Gong, Zhi-gang Su, Peipei Wang, Qian Wang, Yang You
International Journal of Approximate Reasoning · 2021
48
CA-SVM: Communication-Avoiding Support Vector Machines on Distributed Systems
Yang You, J. Demmel, Kenneth Czechowski, Le Song, R. Vuduc
Proceedings - IEEE International Parallel and Distributed Processing Symposium · 2015
48
A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for Accelerating Large VLMs
Wang-Bo Zhao, Yizeng Han, Jia-Sheng Tang, Zhi-Kai Li, Yibing Song, Kai Wang, Zhang-Yang Wang, Yang You
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2025
47
Multitask Learning for Visual Question Answering
Jie Ma, Jun Liu, Qi-Ka Lin, Bei Wu, Yaxian Wang, Yang You
IEEE Transactions on Neural Networks and Learning Systems · 2021
47
An evidential combination method with multi-color spaces for remote sensing image scene classification
Linqing Huang, Wang-Bo Zhao, Alan Wee-Chung Liew, Yang You
Information Fusion · 2023
44
Large Batch Training of Convolutional Networks with Layer-wise Adaptive Rate Scaling
Boris Ginsburg, Igor Gitman, Yang You
2018
44
MIC-SVM: Designing a Highly Efficient Support Vector Machine for Advanced Modern Multi-core and Many-Core Architectures
Yang You, S. Song, H. Fu, A. Márquez, Maryam Mehri Dehnavi, K. Barker, Kirk W. Cameron, A. Randles, +1 more
Proceedings - IEEE International Parallel and Distributed Processing Symposium · 2014
43
Asynchronous Parallel Greedy Coordinate Descent
Yang You, Xiangru Lian, Ji Liu, Hsiang-Fu Yu, I. Dhillon, J. Demmel, Cho-Jui Hsieh
neural information processing systems · 2016
40
Summarizing Stream Data for Memory-Constrained Online Continual Learning
Jianyang Gu, Kai Wang, Wei Jiang, Yang You
Proceedings of the AAAI Conference on Artificial Intelligence · 2024
35
An Efficient Training Approach for Very Large Scale Face Recognition
Kai Wang, Shuo Wang, Pan-Pan Zhang, Zhi-Peng Zhou, Zheng Zhu, Xiaobo Wang, Xiao-Jiang Peng, Bai-Gui Sun, +2 more
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2022
35
KMT-PLL: K-Means Cross-Attention Transformer for Partial Label Learning
Jin-Fu Fan, Lin-Qing Huang, Chaoyu Gong, Yang You, Min Gan, Zhong-Jie Wang
IEEE Transactions on Neural Networks and Learning Systems · 2024
32
Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation
Wang-Bo Zhao, Kai Wang, Xiangxiang Chu, Fuzhao Xue, Xinchao Wang, Yang You
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2022
32
Scaling Support Vector Machines on modern HPC platforms
Yang You, H. Fu, S. Song, A. Randles, D. Kerbyson, A. Márquez, Guang-Wen Yang, A. Hoisie
Journal of Parallel and Distributed Computing · 2014
32
Adaptive Computation with Elastic Input Sequence
Fuzhao Xue, Valerii Likhosherstov, Anurag Arnab, N. Houlsby, Mostafa Dehghani, Yang You
arXiv · 2023
31
Designing a Heuristic Cross-Architecture Combination for Breadth-First Search
Yang You, David A. Bader, Maryam Mehri Dehnavi
Proceedings of the International Conference on Parallel Processing · 2014
29
MLLMs-Augmented Visual-Language Representation Learning
Yanqing Liu, Kai Wang, Wenqi Shao, Ping Luo, Yu Qiao, M. Shou, Kai-Peng Zhang, Yang You
arXiv · 2023
23
Weakly Supervised Learning for Textbook Question Answering
Jie Ma, Qianyi Chai, Jingyu Huang, J. Liu, Yang You, Qinghua Zheng
IEEE Transactions on Image Processing · 2022
23
A new multi-source Transfer Learning method based on Two-stage Weighted Fusion
Linqing Huang, Jin-Fu Fan, Wang-Bo Zhao, Yang You
Knowledge-Based Systems · 2022
23
Distributed evidential clustering toward time series with big data issue
Chaoyu Gong, Zhi-gang Su, Pei-hong Wang, Yang You
Expert Systems with Applications · 2021
23
V-ReasonBench: Toward Unified Reasoning Benchmark Suite for Video Generation Models
Yang Luo, Xuan-Lei Zhao, Baijiong Lin, Ling-Ting Zhu, Liyao Tang, Yuqi Liu, Ying-Cong Chen, Sheng-Ju Qian, +2 more
arXiv · 2025
21
Maximizing Parallelism in Distributed Training for Huge Neural Networks
arXiv · 2021
20
DSP: Dynamic Sequence Parallelism for Multi-Dimensional Transformers
Xuan-Lei Zhao, Shenggan Cheng, Zangwei Zheng, Zhe-Ming Yang, Zi-Ming Liu, Yang You
arXiv · 2024
19
Adaptive evidential K-NN classification: Integrating neighborhood search and feature weighting
Chaoyu Gong, Zhi-gang Su, Xinyi Zhang, Yang You
Information Sciences · 2023
19
Hierarchical Dialogue Understanding with Special Tokens and Turn-level Attention
Xiao Liu, Jian Zhang, Heng Zhang, Fuzhao Xue, Yang You
arXiv · 2023
19
A Sparse Reconstructive Evidential -Nearest Neighbor Classifier for High-dimensional Data
Chaoyu Gong, Zhi-gang Su, Peipei Wang, Qian Wang, Yang You
IEEE Transactions on Knowledge and Data Engineering · 2022
19
Design and Implementation of a Communication-Optimal Classifier for Distributed Kernel Support Vector Machines
Yang You, J. Demmel, Kenneth Czechowski, Le Song, R. Vuduc
IEEE Transactions on Parallel and Distributed Systems · 2016
19
Concerto: Automatic Communication Optimization and Scheduling for Large-Scale Deep Learning
Shenggan Cheng, Shengjie Lin, Lan-Song Diao, Hao Wu, Siyu Wang, Chang Si, Zi-Ming Liu, Xuan-Lei Zhao, +3 more
ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) · 2025
17
MDK12-Bench: A Multi-Discipline Benchmark for Evaluating Reasoning in Multimodal Large Language Models
P. Zhou, Fan-Rui Zhang, Xiao-Peng Peng, Zhaopan Xu, Jiaxin Ai, Yansheng Qiu, Chuan-Hao Li, Zhen Li, +12 more
arXiv · 2025
17
FastFold: Optimizing AlphaFold Training and Inference on GPU Clusters
Shenggan Cheng, Xuan-Lei Zhao, Guang-Yang Lu, Jia-Rui Fang, Tian-Yu Zheng, Ruidong Wu, Xiwen Zhang, Jian Peng, +1 more
ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming · 2024
17
Expert-as-a-Service: Towards Efficient, Scalable, and Robust Large-scale MoE Serving
Zi-Ming Liu, Boyu Tian, Guoteng Wang, Zhen Jiang, Peng Sun, Zhenhua Han, Tian Tang, Xiao-He Hu, +10 more
arXiv · 2025
16
Sparse Reconstructive Evidential Clustering for Multi-View Data
Chaoyu Gong, Yang You
IEEE/CAA Journal of Automatica Sinica · 2024
15
SOP-Agent: Empower General Purpose AI Agent with Domain-Specific SOPs
Anbang Ye, Qianran Ma, Jia Chen, Muqi Li, Tong Li, Fujiao Liu, Siqi Mai, Meichen Lu, +2 more
arXiv · 2025
14
Parallel Multiclass Support Vector Machine for Remote Sensing Data Classification on Multicore and Many-Core Architectures
Weijia Li, H. Fu, Yang You, Le Yu, Jiarui Fang
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2017
14
Scaling and analyzing the stencil performance on multi-core and many-core architectures
L. Gan, H. Fu, Wei Xue, Yangtong Xu, Chao Yang, Xinliang Wang, Zihong Lv, Yang You, +2 more
IEEE International Conference on Parallel and Distributed Systems (ICPADS) · 2014
14
HeteGen: Heterogeneous Parallel Inference for Large Language Models on Resource-Constrained Devices
Xuan-Lei Zhao, Bin Jia, Hao Zhou, Zi-Ming Liu, Shenggan Cheng, Yang You
arXiv · 2024
13
ATP: Adaptive Tensor Parallelism for Foundation Models
Shenggan Cheng, Zi-Ming Liu, Jiang-Su Du, Yang You
arXiv · 2023
13
Sequence Parallelism: Making 4D Parallelism Possible
arXiv · 2021
12
Mask Aware Network for Masked Face Recognition in the Wild
Kai Wang, Shuo Wang, Jianfei Yang, Xiaobo Wang, Bai-Gui Sun, Hao Li, Yang You
IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) · 2021
12
Enhance-A-Video: Better Generated Video for Free
Yang Luo, Xuan-Lei Zhao, Meng-Zhao Chen, Kai-Peng Zhang, Wen-Qi Shao, Kai Wang, Zhang-Yang Wang, Yang You
arXiv · 2025
11
Colossal-Auto: Unified Automation of Parallelization and Activation Checkpoint for Large-scale Models
Yuliang Liu, Sheng-Gui Li, Jiarui Fang, Yanjun Shao, Boyuan Yao, Yang You
arXiv · 2023
11
Accelerating the 3D Elastic Wave Forward Modeling on GPU and MIC
Yang You, H. Fu, Xiaomeng Huang, Guojie Song, L. Gan, Wenjian Yu, Guang-Wen Yang
IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum · 2013
11
Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models
Jun Zhang, Jue Wang, Huan Li, Li-Dan Shou, Ke Chen, Yang You, Guiming Xie, Xuejian Gong, +1 more
arXiv · 2025
10
WeiPipe: Weight Pipeline Parallelism for Communication-Effective Long-Context Large Model Training
Junfeng Lin, Zi-Ming Liu, Yang You, Jun Wang, Wei-Hao Zhang, Rong Zhao
ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming · 2025
10
MIGPerf: A Comprehensive Benchmark for Deep Learning Training and Inference Workloads on Multi-Instance GPUs
Huai-Zheng Zhang, Yuan-Ming Li, Wencong Xiao, Yi-Zheng Huang, Xing Di, Jianxiong Yin, S. See, Yong Luo, +2 more
arXiv · 2023
10
Training EfficientNets at Supercomputer Scale: 83% ImageNet Top-1 Accuracy in One Hour
Arissa Wongpanich, Hieu Pham, J. Demmel, Mingxing Tan, Quoc V. Le, Yang You, Sameer Kumar
IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) · 2021
10
Rethinking the Value of Asynchronous Solvers for Distributed Deep Learning
Arissa Wongpanich, Yang You, J. Demmel
International Conference on High Performance Computing in Asia-Pacific Region (HPC Asia) · 2019
10
DavIR: Data Selection via Implicit Reward for Large Language Models
Haotian Zhou, Ting-Kai Liu, Qian-Li Ma, Yu-Feng Zhang, Jianbo Yuan, Pengfei Liu, Yang You, Hongxia Yang
Annual Meeting of the Association for Computational Linguistics (ACL) · 2025
9
DREAM+: Efficient Dataset Distillation by Bidirectional Representative Matching
Yanqing Liu, Jianyang Gu, Kai Wang, Zheng Zhu, Kai-Peng Zhang, Wei Jiang, Yang You
arXiv · 2023
9
Handling heavy-tailed input of transformer inference on GPUs
Jiang-Su Du, Jiazhi Jiang, Yang You, Dan-E Huang, Yu-Tong Lu
ACM International Conference on Supercomputing (ICS) · 2022
9
Active-Learning-as-a-Service: An Automatic and Efficient MLOps System for Data-Centric AI
Yi-Zheng Huang, Huai-Zheng Zhang, Yuan-Ming Li, C. Lau, Yang You
arXiv · 2022
9
Elixir: Train a Large Language Model on a Small GPU Cluster
Haichen Huang, Jiarui Fang, Hongxin Liu, Sheng-Gui Li, Yang You
arXiv · 2022
9
The Snowflake Hypothesis: Training and Powering GNN with One Node One Receptive Field
Kun Wang, Guohao Li, Shilong Wang, Guibin Zhang, K. Wang, Yang You, Junfeng Fang, Xiaojiang Peng, +2 more
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 2024
8
Learning Referring Video Object Segmentation from Weak Annotation
Wang-Bo Zhao, Ke-Pan Nan, Songyang Zhang, Kai Chen, Da-Hua Lin, Yang You
arXiv · 2023
8
Large-Scale Deep Learning Optimizations: A Comprehensive Survey
arXiv · 2021
8
2.5-dimensional distributed model training.
arXiv · 2021
8
Evaluating multi-core and many-core architectures through accelerating the three-dimensional Lax–Wendroff correction stencil
The International Journal of High Performance Computing Applications · 2014
8
SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation
Shenggan Cheng, Yuan-Xin Wei, Lan-Song Diao, Yong Liu, Bujiao Chen, Liang-Hua Huang, Yu Liu, Wenyuan Yu, +3 more
arXiv · 2025
7
GWPF: Communication-efficient federated learning with Gradient-Wise Parameter Freezing
Duo Yang, Yun-Qi Gao, Bing Hu, A-Long Jin, Wei Wang, Yang You
Computer Networks · 2024
7
EnergonAI: An Inference System for 10-100 Billion Parameter Transformer Models
Jiang-Su Du, Zi-Ming Liu, Jiarui Fang, Sheng-Gui Li, Yongbin Li, Yu-Tong Lu, Yang You
arXiv · 2022
7
A Frequency-aware Software Cache for Large Recommendation System Embeddings
Jiarui Fang, Geng Zhang, Jiatong Han, Sheng-Gui Li, Zheng-Da Bian, Yongbin Li, Jin Liu, Yang You
arXiv · 2022
7
Self-reconstructive evidential clustering for high-dimensional data
Chaoyu Gong, Yongbin Li, Di Fu, Y. Liu, Peiyao Wang, Yang You
Proceedings - International Conference on Data Engineering · 2022
7
Fast LSTM by dynamic decomposition on cloud and distributed systems
Yang You, Yuxiong He, Samyam Rajbhandari, Wenhan Wang, Cho-Jui Hsieh, K. Keutzer, J. Demmel
Knowledge and Information Systems · 2020
7
Runtime Data Layout Scheduling for Machine Learning Dataset
Yang You, J. Demmel
Proceedings of the International Conference on Parallel Processing · 2017
7
HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism
Geng Zhang, Shenggan Cheng, Xuan-Lei Zhao, Zi-Ming Liu, Yang You
ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming · 2026
6
Scalable Evidential K -Nearest Neighbor Classification on Big Data
Chaoyu Gong, Jim Demmel, Yang You
IEEE Transactions on Big Data · 2023
6
Distributed and Joint Evidential K-Nearest Neighbor Classification
Chaoyu Gong, Jim Demmel, Yang You
IEEE Transactions on Knowledge and Data Engineering · 2023
6
Joint Evidential $K$-Nearest Neighbor Classification
Chaoyu Gong, Yongbin Li, Y. Liu, Peipei Wang, Yang You
Proceedings - International Conference on Data Engineering · 2022
6
Auto-Precision Scaling for Distributed Deep Learning
Ruobing Han, Yang You, J. Demmel
Lecture notes in computer science · 2021
6
Prioritize Alignment in Dataset Distillation
Ze-Kai Li, Ziyao Guo, Wang-Bo Zhao, Tianle Zhang, Zhi-Qi Cheng, Samir Khaki, Kai-Peng Zhang, A. Sajedi, +3 more
arXiv · 2024
5
CowClip: Reducing CTR Prediction Model Training Time from 12 Hours to 10 Minutes on 1 GPU
Proceedings of the AAAI Conference on Artificial Intelligence · 2023
5
One Student Knows All Experts Know: From Sparse to Dense
arXiv · 2022
5
Dynamic scaling for low-precision learning
Ruobing Han, Min Si, J. Demmel, Yang You
ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming · 2021
5
Communication-avoiding kernel ridge regression on parallel and distributed systems
Yang You, Jingyu Huang, Cho-Jui Hsieh, R. Vuduc, J. Demmel
CCF Transactions on High Performance Computing · 2021
5
Designing and implementing a heuristic cross-architecture combination for graph traversal
Yang You, H. Fu, David A. Bader, Guang-Wen Yang
Journal of Parallel and Distributed Computing · 2016
5
ParaGAN: A Scalable Distributed Training Framework for Generative Adversarial Networks
Ziji Shi, Jialin Li, Yang You
ACM Symposium on Cloud Computing (SoCC) · 2024
4
AutoChunk: Automated Activation Chunk for Memory-Efficient Long Sequence Inference
Xuan-Lei Zhao, Shenggan Cheng, Guang-Yang Lu, Jia-Rui Fang, Hao Zhou, Bin Jia, Zi-Ming Liu, Yang You
arXiv · 2024
4
Self-filling evidential clustering for partial multi-view data
Chaoyu Gong, Yang You
Expert Systems with Applications · 2023
4
Distributed EK-NN Classification
Chaoyu Gong, Zhi-gang Su, Qian Wang, Yang You
Lecture notes in computer science · 2022
3
Cross-token Modeling with Conditional Computation
arXiv · 2021
3
ImageNet Training by CPU: AlexNet in 11 Minutes and ResNet-50 in 48 Minutes
Yang You, Zhao Zhang, Cho-Jui Hsieh, J. Demmel, K. Keutzer
arXiv · 2017
3
WBSP: Addressing stragglers in distributed machine learning with worker-busy synchronous parallel
Duo Yang, Bing Hu, An Liu, A-Long Jin, Kwan L. Yeung, Yang You
Parallel Computing · 2024
2
Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue Regularization
Zi-Rui Zhu, Yong Liu, Zangwei Zheng, Huifeng Guo, Yang You
ACM Web Conference (WWW) · 2024
2
How Does the Textual Information Affect the Retrieval of Multimodal In-Context Learning?
Conference on Empirical Methods in Natural Language Processing (EMNLP) · 2024
2
Single Domain Generalization For Scene Classification Using Style-Oriented Data Augmentation
Yi Zhao, Guancong Lin, Jue-Peng Zheng, Yangzi You, Hao-Huan Fu
IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 2024
2
Concurrent Adversarial Learning for Large-Batch Training
arXiv · 2021
2
The Limit of the Batch Size
arXiv · 2020
2
Fast LSTM Inference by Dynamic Decomposition on Cloud Systems
Yang You, Yuxiong He, Samyam Rajbhandari, Wenhan Wang, Cho-Jui Hsieh, K. Keutzer, J. Demmel
Proceedings · 2019
2
ElasticMM: Efficient Multimodal LLMs Serving with Elastic Multimodal Parallelism
neural information processing systems · 2025
1
Sky Computing: Accelerating Geo-distributed Computing in Federated Learning
arXiv · 2022
1
Why Game Development Matters for Scaling World Models
Zenodo (CERN European Organization for Nuclear Research) · 2026
–
CUA-Sandbox: Efficient Environments for Computer-Use Agent Reinforcement Learning
arXiv · 2026
–
One-Shot General Object Localization
Yang You, Zhuochen Miao, Kai Xiong, Weiming Wang, Cewu Lu
arXiv · 2022
–
Rethinking the Role of Hyperparameter Tuning in Optimizer Benchmarking
2021
–
MReD: A Meta-Review Dataset for Controllable Text Generation.
arXiv · 2021
–
How much progress have we made in neural network training? A New Evaluation Protocol for Benchmarking Optimizers
arXiv · 2020
–

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