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ORCIDYang You 0001
Person information
- affiliation: National University of Singapore
- affiliation (PhD 2020): UC Berkeley, USA
Other persons with the same name
- Yang You — disambiguation page
- Yang You 0002
![[0000-0003-2659-863X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-2659-863X")
— Royal Institute of Technology, Stockholm, Sweden - Yang You 0003 — University of Lorraine, Nancy, France
- Yang You 0004 — Stanford University, Leonidas Guibas' Lab, Stanford, CA, USA (and 1 more)
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2020 – today
- 2024
[j19]Chaoyu Gong, Yang You:
Self-filling evidential clustering for partial multi-view data. Expert Syst. Appl. 237(Part C): 121614 (2024)- [j18]Chaoyu Gong, Yang You:
Sparse Reconstructive Evidential Clustering for Multi-View Data. IEEE CAA J. Autom. Sinica 11(2): 459-473 (2024) - [j17]Chaoyu Gong, Jim Demmel, Yang You:
Scalable Evidential K-Nearest Neighbor Classification on Big Data. IEEE Trans. Big Data 10(3): 226-237 (2024) - [j16]Chaoyu Gong, Jim Demmel, Yang You:
Distributed and Joint Evidential K-Nearest Neighbor Classification. IEEE Trans. Knowl. Data Eng. 36(11): 5972-5985 (2024) - [c69]Jianyang Gu, Kai Wang, Wei Jiang, Yang You:
Summarizing Stream Data for Memory-Constrained Online Continual Learning. AAAI 2024: 12217-12225 - [c68]Ziji Shi, Jialin Li, Yang You:
ParaGAN: A Scalable Distributed Training Framework for Generative Adversarial Networks. SoCC 2024: 1032-1044 - [c67]Jianyang Gu, Saeed Vahidian, Vyacheslav Kungurtsev, Haonan Wang, Wei Jiang, Yang You, Yiran Chen:
Efficient Dataset Distillation via Minimax Diffusion. CVPR 2024: 15793-15803 - [c66]Ziheng Qin, Zhaopan Xu, Yukun Zhou, Zangwei Zheng, Zebang Cheng, Hao Tang, Lei Shang, Baigui Sun, Xiaojiang Peng, Radu Timofte, Hongxun Yao, Kai Wang, Yang You:
Dataset Growth. ECCV (9) 2024: 58-75 - [c65]Yang Luo, Zangwei Zheng, Zirui Zhu, Yang You:
How Does the Textual Information Affect the Retrieval of Multimodal In-Context Learning? EMNLP 2024: 5321-5335 - [c64]Ziyao Guo, Kai Wang, George Cazenavette, Hui Li, Kaipeng Zhang, Yang You:
Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching. ICLR 2024 - [c63]Ziheng Qin, Kai Wang, Zangwei Zheng, Jianyang Gu, Xiangyu Peng, Zhaopan Xu, Daquan Zhou, Lei Shang, Baigui Sun, Xuansong Xie, Yang You:
InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning. ICLR 2024 - [c62]Xuanlei Zhao, Shenggan Cheng, Guangyang Lu, Haotian Zhou, Bin Jia, Yang You:
AutoChunk: Automated Activation Chunk for Memory-Efficient Deep Learning Inference. ICLR 2024 - [c61]Fuzhao Xue, Zian Zheng, Yao Fu, Jinjie Ni, Zangwei Zheng, Wangchunshu Zhou, Yang You:
OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models. ICML 2024 - [c60]Zelin Zang, Hao Luo, Kai Wang, Panpan Zhang, Fan Wang, Stan Z. Li, Yang You:
DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation. ICML 2024 - [c59]Yuchen Zhang, Tianle Zhang, Kai Wang, Ziyao Guo, Yuxuan Liang, Xavier Bresson, Wei Jin, Yang You:
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching. ICML 2024 - [c58]Yi Zhao, Guancong Lin, Juepeng Zheng, Yang You, Haohuan Fu:
Single Domain Generalization For Scene Classification Using Style-Oriented Data Augmentation. IGARSS 2024: 8811-8815 - [c57]Kun Wang, Guohao Li, Shilong Wang, Guibin Zhang, Kai Wang, Yang You, Junfeng Fang, Xiaojiang Peng, Yuxuan Liang, Yang Wang:
The Snowflake Hypothesis: Training and Powering GNN with One Node One Receptive Field. KDD 2024: 3152-3163 - [c56]Xuanlei Zhao, Bin Jia, Haotian Zhou, Ziming Liu, Shenggan Cheng, Yang You:
HeteGen: Efficient Heterogeneous Parallel Inference for Large Language Models on Resource-Constrained Devices. MLSys 2024 - [c55]Shenggan Cheng, Xuanlei Zhao, Guangyang Lu, Jiarui Fang, Tian Zheng, Ruidong Wu, Xiwen Zhang, Jian Peng, Yang You:
FastFold: Optimizing AlphaFold Training and Inference on GPU Clusters. PPoPP 2024: 417-430 - [c54]Zirui Zhu, Yong Liu, Zangwei Zheng, Huifeng Guo, Yang You:
Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue Regularization. WWW 2024: 3485-3496 - [i94]Zelin Zang, Liangyu Li, Yongjie Xu, Chenrui Duan, Kai Wang, Yang You, Yi Sun, Stan Z. Li:
Must: Maximizing Latent Capacity of Spatial Transcriptomics Data. CoRR abs/2401.07543 (2024) - [i93]Xuanlei Zhao, Shenggan Cheng, Guangyang Lu, Jiarui Fang, Haotian Zhou, Bin Jia, Ziming Liu, Yang You:
AutoChunk: Automated Activation Chunk for Memory-Efficient Long Sequence Inference. CoRR abs/2401.10652 (2024) - [i92]Fuzhao Xue, Zian Zheng, Yao Fu, Jinjie Ni, Zangwei Zheng, Wangchunshu Zhou, Yang You:
OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models. CoRR abs/2402.01739 (2024) - [i91]Tomoyuki Kagaya, Thong Jing Yuan, Yuxuan Lou, Jayashree Karlekar, Sugiri Pranata, Akira Kinose, Koki Oguri, Felix Wick, Yang You:
RAP: Retrieval-Augmented Planning with Contextual Memory for Multimodal LLM Agents. CoRR abs/2402.03610 (2024) - [i90]Tianle Zhang, Yuchen Zhang, Kun Wang, Kai Wang, Beining Yang, Kaipeng Zhang, Wenqi Shao, Ping Liu, Joey Tianyi Zhou, Yang You:
Two Trades is not Baffled: Condensing Graph via Crafting Rational Gradient Matching. CoRR abs/2402.04924 (2024) - [i89]Yuchen Zhang, Tianle Zhang, Kai Wang, Ziyao Guo, Yuxuan Liang, Xavier Bresson, Wei Jin, Yang You:
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching. CoRR abs/2402.05011 (2024) - [i88]Kai Wang, Zhaopan Xu, Yukun Zhou, Zelin Zang, Trevor Darrell, Zhuang Liu, Yang You:
Neural Network Diffusion. CoRR abs/2402.13144 (2024) - [i87]Yong Liu, Zirui Zhu, Chaoyu Gong, Minhao Cheng, Cho-Jui Hsieh, Yang You:
Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning. CoRR abs/2402.15751 (2024) - [i86]Zirui Zhu, Yong Liu, Zangwei Zheng, Huifeng Guo, Yang You:
Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue Regularization. CoRR abs/2403.00798 (2024) - [i85]Xuanlei Zhao, Bin Jia, Haotian Zhou, Ziming Liu, Shenggan Cheng, Yang You:
HeteGen: Heterogeneous Parallel Inference for Large Language Models on Resource-Constrained Devices. CoRR abs/2403.01164 (2024) - [i84]Xuanlei Zhao, Shenggan Cheng, Zangwei Zheng, Zheming Yang, Ziming Liu, Yang You:
DSP: Dynamic Sequence Parallelism for Multi-Dimensional Transformers. CoRR abs/2403.10266 (2024) - [i83]Wangbo Zhao, Jiasheng Tang, Yizeng Han, Yibing Song, Kai Wang, Gao Huang, Fan Wang, Yang You:
Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation. CoRR abs/2403.11808 (2024) - [i82]Yang Luo, Zangwei Zheng, Zirui Zhu, Yang You:
How Does the Textual Information Affect the Retrieval of Multimodal In-Context Learning? CoRR abs/2404.12866 (2024) - [i81]Zheng Zhu, Xiaofeng Wang, Wangbo Zhao, Chen Min, Nianchen Deng, Min Dou, Yuqi Wang, Botian Shi, Kai Wang, Chi Zhang, Yang You, Zhaoxiang Zhang, Dawei Zhao, Liang Xiao, Jian Zhao, Jiwen Lu, Guan Huang:
Is Sora a World Simulator? A Comprehensive Survey on General World Models and Beyond. CoRR abs/2405.03520 (2024) - [i80]Kai Wang, Yukun Zhou, Mingjia Shi, Zhihang Yuan, Yuzhang Shang, Xiaojiang Peng, Hanwang Zhang, Yang You:
A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training. CoRR abs/2405.17403 (2024) - [i79]Ziheng Qin, Zhaopan Xu, Yukun Zhou, Zangwei Zheng, Zebang Cheng, Hao Tang, Lei Shang, Baigui Sun, Xiaojiang Peng, Radu Timofte, Hongxun Yao, Kai Wang, Yang You:
Dataset Growth. CoRR abs/2405.18347 (2024) - [i78]Jinjie Ni, Fuzhao Xue, Xiang Yue, Yuntian Deng, Mahir Shah, Kabir Jain, Graham Neubig, Yang You:
MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures. CoRR abs/2406.06565 (2024) - [i77]Tianle Zhang, Langtian Ma, Yuchen Yan, Yuchen Zhang, Kai Wang, Yue Yang, Ziyao Guo, Wenqi Shao, Yang You, Yu Qiao, Ping Luo, Kaipeng Zhang:
Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality. CoRR abs/2406.08845 (2024) - [i76]Ziming Liu, Shaoyu Wang, Shenggan Cheng, Zhongkai Zhao, Xuanlei Zhao, James Demmel, Yang You:
WallFacer: Guiding Transformer Model Training Out of the Long-Context Dark Forest with N-body Problem. CoRR abs/2407.00611 (2024) - [i75]Xiaolong Jin, Kai Wang, Dongwen Tang, Wangbo Zhao, Yukun Zhou, Junshu Tang, Yang You:
Conditional LoRA Parameter Generation. CoRR abs/2408.01415 (2024) - [i74]Xiangyu Peng, Kai Wang, Jianfei Yang, Yingying Zhu, Yang You:
More Than Positive and Negative: Communicating Fine Granularity in Medical Diagnosis. CoRR abs/2408.02214 (2024) - [i73]Zekai Li, Ziyao Guo, Wangbo Zhao, Tianle Zhang, Zhi-Qi Cheng, Samir Khaki, Kaipeng Zhang, Ahmad Sajedi, Konstantinos N. Plataniotis, Kai Wang, Yang You:
Prioritize Alignment in Dataset Distillation. CoRR abs/2408.03360 (2024) - [i72]Xuanlei Zhao, Xiaolong Jin, Kai Wang, Yang You:
Real-Time Video Generation with Pyramid Attention Broadcast. CoRR abs/2408.12588 (2024) - [i71]Qi Jia, Xiang Yue, Shanshan Huang, Ziheng Qin, Yizhu Liu, Bill Yuchen Lin, Yang You:
Visual Perception in Text Strings. CoRR abs/2410.01733 (2024) - [i70]Wangbo Zhao, Yizeng Han, Jiasheng Tang, Kai Wang, Yibing Song, Gao Huang, Fan Wang, Yang You:
Dynamic Diffusion Transformer. CoRR abs/2410.03456 (2024) - [i69]Jinjie Ni, Yifan Song, Deepanway Ghosal, Bo Li, David Junhao Zhang, Xiang Yue, Fuzhao Xue, Zian Zheng, Kaichen Zhang, Mahir Shah, Kabir Jain, Yang You, Michael Shieh:
MixEval-X: Any-to-Any Evaluations from Real-World Data Mixtures. CoRR abs/2410.13754 (2024) - [i68]Tomoyuki Kagaya, Yuxuan Lou, Thong Jing Yuan, Subramanian Lakshmi, Jayashree Karlekar, Sugiri Pranata, Natsuki Murakami, Akira Kinose, Koki Oguri, Felix Wick, Yang You:
EnvBridge: Bridging Diverse Environments with Cross-Environment Knowledge Transfer for Embodied AI. CoRR abs/2410.16919 (2024) - [i67]Kai Wang, Zekai Li, Zhi-Qi Cheng, Samir Khaki, Ahmad Sajedi, Ramakrishna Vedantam, Konstantinos N. Plataniotis, Alex Hauptmann, Yang You:
Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios. CoRR abs/2410.17193 (2024) - 2023
- [j15]Chaoyu Gong, Zhi-gang Su, Xinyi Zhang, Yang You:
Adaptive evidential K-NN classification: Integrating neighborhood search and feature weighting. Inf. Sci. 648: 119620 (2023) - [j14]Chaoyu Gong, Zhi-gang Su, Pei-hong Wang, Qian Wang, Yang You:
A Sparse Reconstructive Evidential K-Nearest Neighbor Classifier for High-Dimensional Data. IEEE Trans. Knowl. Data Eng. 35(6): 5563-5576 (2023) - [j13]Jie Ma, Jun Liu, Qika Lin, Bei Wu, Yaxian Wang, Yang You:
Multitask Learning for Visual Question Answering. IEEE Trans. Neural Networks Learn. Syst. 34(3): 1380-1394 (2023) - [j12]Jiarui Fang, Zilin Zhu, Shenggui Li, Hui Su, Yang Yu, Jie Zhou, Yang You:
Parallel Training of Pre-Trained Models via Chunk-Based Dynamic Memory Management. IEEE Trans. Parallel Distributed Syst. 34(1): 304-315 (2023) - [c53]Xin Hu, Lingling Zhang, Jun Liu, Jinfu Fan, Yang You, Yaqiang Wu:
GPTR: Gestalt-Perception Transformer for Diagram Object Detection. AAAI 2023: 899-907 - [c52]Zangwei Zheng, Pengtai Xu, Xuan Zou, Da Tang, Zhen Li, Chenguang Xi, Peng Wu, Leqi Zou, Yijie Zhu, Ming Chen, Xiangzhuo Ding, Fuzhao Xue, Ziheng Qin, Youlong Cheng, Yang You:
CowClip: Reducing CTR Prediction Model Training Time from 12 Hours to 10 Minutes on 1 GPU. AAAI 2023: 11390-11398 - [c51]Shenggui Li, Fuzhao Xue, Chaitanya Baranwal, Yongbin Li, Yang You:
Sequence Parallelism: Long Sequence Training from System Perspective. ACL (1) 2023: 2391-2404 - [c50]Yang Luo, Xiaozhe Ren, Zangwei Zheng, Zhuo Jiang, Xin Jiang, Yang You:
CAME: Confidence-guided Adaptive Memory Efficient Optimization. ACL (1) 2023: 4442-4453 - [c49]Jianyang Gu, Kai Wang, Hao Luo, Chen Chen, Wei Jiang, Yuqiang Fang, Shanghang Zhang, Yang You, Jian Zhao:
MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID. CVPR 2023: 19243-19253 - [c48]Shuo Yang, Zhaopan Xu, Kai Wang, Yang You, Hongxun Yao, Tongliang Liu, Min Xu:
BiCro: Noisy Correspondence Rectification for Multi-modality Data via Bi-directional Cross-modal Similarity Consistency. CVPR 2023: 19883-19892 - [c47]Daquan Zhou, Kai Wang, Jianyang Gu, Xiangyu Peng, Dongze Lian, Yifan Zhang, Yang You, Jiashi Feng:
Dataset Quantization. ICCV 2023: 17159-17170 - [c46]Yanqing Liu, Jianyang Gu, Kai Wang, Zheng Zhu, Wei Jiang, Yang You:
DREAM: Efficient Dataset Distillation by Representative Matching. ICCV 2023: 17268-17278 - [c45]Zangwei Zheng, Mingyuan Ma, Kai Wang, Ziheng Qin, Xiangyu Yue, Yang You:
Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models. ICCV 2023: 19068-19079 - [c44]Xiao Liu, Jian Zhang, Heng Zhang, Fuzhao Xue, Yang You:
Hierarchical Dialogue Understanding with Special Tokens and Turn-level Attention. Tiny Papers @ ICLR 2023 - [c43]Fuzhao Xue, Xiaoxin He, Xiaozhe Ren, Yuxuan Lou, Yang You:
One Student Knows All Experts Know: From Sparse to Dense. Tiny Papers @ ICLR 2023 - [c42]Jianfei Yang, Xiangyu Peng, Kai Wang, Zheng Zhu, Jiashi Feng, Lihua Xie, Yang You:
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors. ICLR 2023 - [c41]Fuzhao Xue, Jianghai Chen, Aixin Sun, Xiaozhe Ren, Zangwei Zheng, Xiaoxin He, Yongming Chen, Xin Jiang, Yang You:
A Study on Transformer Configuration and Training Objective. ICML 2023: 38913-38925 - [c40]Fuzhao Xue, Valerii Likhosherstov, Anurag Arnab, Neil Houlsby, Mostafa Dehghani, Yang You:
Adaptive Computation with Elastic Input Sequence. ICML 2023: 38971-38988 - [c39]Shenggui Li, Hongxin Liu, Zhengda Bian, Jiarui Fang, Haichen Huang, Yuliang Liu, Boxiang Wang, Yang You:
Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training. ICPP 2023: 766-775 - [c38]Qifan Xu, Yang You:
An Efficient 2D Method for Training Super-Large Deep Learning Models. IPDPS 2023: 222-232 - [c37]Fuzhao Xue, Yao Fu, Wangchunshu Zhou, Zangwei Zheng, Yang You:
To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis. NeurIPS 2023 - [c36]Beining Yang, Kai Wang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Hao Tang, Yang You, Jianxin Li:
Does Graph Distillation See Like Vision Dataset Counterpart? NeurIPS 2023 - [c35]Zangwei Zheng, Xiaozhe Ren, Fuzhao Xue, Yang Luo, Xin Jiang, Yang You:
Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline. NeurIPS 2023 - [c34]Ziming Liu, Shenggan Cheng, Haotian Zhou, Yang You:
Hanayo: Harnessing Wave-like Pipeline Parallelism for Enhanced Large Model Training Efficiency. SC 2023: 56:1-56:13 - [i66]Shenggan Cheng, Ziming Liu, Jiangsu Du, Yang You:
ATP: Adaptive Tensor Parallelism for Foundation Models. CoRR abs/2301.08658 (2023) - [i65]Fuzhao Xue, Valerii Likhosherstov, Anurag Arnab, Neil Houlsby, Mostafa Dehghani, Yang You:
Adaptive Computation with Elastic Input Sequence. CoRR abs/2301.13195 (2023) - [i64]Yuliang Liu, Shenggui Li, Jiarui Fang, Yanjun Shao, Boyuan Yao, Yang You:
Colossal-Auto: Unified Automation of Parallelization and Activation Checkpoint for Large-scale Models. CoRR abs/2302.02599 (2023) - [i63]Yanqing Liu, Jianyang Gu, Kai Wang, Zheng Zhu, Wei Jiang, Yang You:
DREAM: Efficient Dataset Distillation by Representative Matching. CoRR abs/2302.14416 (2023) - [i62]Kai Wang, Jianyang Gu, Daquan Zhou, Zheng Zhu, Wei Jiang, Yang You:
DiM: Distilling Dataset into Generative Model. CoRR abs/2303.04707 (2023) - [i61]Ziheng Qin, Kai Wang, Zangwei Zheng, Jianyang Gu, Xiangyu Peng, Daquan Zhou, Yang You:
InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning. CoRR abs/2303.04947 (2023) - [i60]Zangwei Zheng, Mingyuan Ma, Kai Wang, Ziheng Qin, Xiangyu Yue, Yang You:
Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models. CoRR abs/2303.06628 (2023) - [i59]Jianyang Gu, Kai Wang, Hao Luo, Chen Chen, Wei Jiang, Yuqiang Fang, Shanghang Zhang, Yang You, Jian Zhao:
MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID. CoRR abs/2303.07065 (2023) - [i58]Shuo Yang, Zhaopan Xu, Kai Wang, Yang You, Hongxun Yao, Tongliang Liu, Min Xu:
BiCro: Noisy Correspondence Rectification for Multi-modality Data via Bi-directional Cross-modal Similarity Consistency. CoRR abs/2303.12419 (2023) - [i57]Xiao Liu, Jian Zhang, Heng Zhang, Fuzhao Xue, Yang You:
Hierarchical Dialogue Understanding with Special Tokens and Turn-level Attention. CoRR abs/2305.00262 (2023) - [i56]Zangwei Zheng, Xiaozhe Ren, Fuzhao Xue, Yang Luo, Xin Jiang, Yang You:
Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline. CoRR abs/2305.13144 (2023) - [i55]Fuzhao Xue, Yao Fu, Wangchunshu Zhou, Zangwei Zheng, Yang You:
To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis. CoRR abs/2305.13230 (2023) - [i54]Jianyang Gu, Kai Wang, Wei Jiang, Yang You:
Summarizing Stream Data for Memory-Restricted Online Continual Learning. CoRR abs/2305.16645 (2023) - [i53]Yang Luo, Xiaozhe Ren, Zangwei Zheng, Zhuo Jiang, Xin Jiang, Yang You:
CAME: Confidence-guided Adaptive Memory Efficient Optimization. CoRR abs/2307.02047 (2023) - [i52]Wangbo Zhao, Kepan Nan, Songyang Zhang, Kai Chen, Dahua Lin, Yang You:
Learning Referring Video Object Segmentation from Weak Annotation. CoRR abs/2308.02162 (2023) - [i51]Kun Wang, Guohao Li, Shilong Wang, Guibin Zhang, Kai Wang, Yang You, Xiaojiang Peng, Yuxuan Liang, Yang Wang:
The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field. CoRR abs/2308.10051 (2023) - [i50]Daquan Zhou, Kai Wang, Jianyang Gu, Xiangyu Peng, Dongze Lian, Yifan Zhang, Yang You, Jiashi Feng:
Dataset Quantization. CoRR abs/2308.10524 (2023) - [i49]Jianyang Gu, Hao Luo, Kai Wang, Wei Jiang, Yang You, Jian Zhao:
Color Prompting for Data-Free Continual Unsupervised Domain Adaptive Person Re-Identification. CoRR abs/2308.10716 (2023) - [i48]Ziming Liu, Shenggan Cheng, Haotian Zhou, Yang You:
Hanayo: Harnessing Wave-like Pipeline Parallelism for Enhanced Large Model Training Efficiency. CoRR abs/2308.15762 (2023) - [i47]Zelin Zang, Hao Luo, Kai Wang, Panpan Zhang, Fan Wang, Stan Z. Li, Yang You:
Boosting Unsupervised Contrastive Learning Using Diffusion-Based Data Augmentation From Scratch. CoRR abs/2309.07909 (2023) - [i46]Yao Lu, Xuguang Chen, Yuchen Zhang, Jianyang Gu, Tianle Zhang, Yifan Zhang, Xiaoniu Yang, Qi Xuan, Kai Wang, Yang You:
Can pre-trained models assist in dataset distillation? CoRR abs/2310.03295 (2023) - [i45]Ziyao Guo, Kai Wang, George Cazenavette, Hui Li, Kaipeng Zhang, Yang You:
Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching. CoRR abs/2310.05773 (2023) - [i44]Beining Yang, Kai Wang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Hao Tang, Yang You, Jianxin Li:
Does Graph Distillation See Like Vision Dataset Counterpart? CoRR abs/2310.09192 (2023) - [i43]Qianli Ma, Haotian Zhou, Tingkai Liu, Jianbo Yuan, Pengfei Liu, Yang You, Hongxia Yang:
Let's reward step by step: Step-Level reward model as the Navigators for Reasoning. CoRR abs/2310.10080 (2023) - [i42]Haotian Zhou, Tingkai Liu, Qianli Ma, Jianbo Yuan, Pengfei Liu, Yang You, Hongxia Yang:
LoBaSS: Gauging Learnability in Supervised Fine-tuning Data. CoRR abs/2310.13008 (2023) - [i41]Yanqing Liu, Jianyang Gu, Kai Wang, Zheng Zhu, Kaipeng Zhang, Wei Jiang, Yang You:
DREAM+: Efficient Dataset Distillation by Bidirectional Representative Matching. CoRR abs/2310.15052 (2023) - [i40]Jianyang Gu, Saeed Vahidian, Vyacheslav Kungurtsev, Haonan Wang, Wei Jiang, Yang You, Yiran Chen:
Efficient Dataset Distillation via Minimax Diffusion. CoRR abs/2311.15529 (2023) - [i39]Yanqing Liu, Kai Wang, Wenqi Shao, Ping Luo, Yu Qiao, Mike Zheng Shou, Kaipeng Zhang, Yang You:
MLLMs-Augmented Visual-Language Representation Learning. CoRR abs/2311.18765 (2023) - 2022
- [j11]Chaoyu Gong, Zhi-gang Su, Pei-hong Wang, Yang You:
Distributed evidential clustering toward time series with big data issue. Expert Syst. Appl. 191: 116279 (2022) - [j10]Jie Ma, Qi Chai, Jingyue Huang, Jun Liu, Yang You, Qinghua Zheng:
Weakly Supervised Learning for Textbook Question Answering. IEEE Trans. Image Process. 31: 7378-7388 (2022) - [c33]Fuzhao Xue, Ziji Shi, Futao Wei, Yuxuan Lou, Yong Liu, Yang You:
Go Wider Instead of Deeper. AAAI 2022: 8779-8787 - [c32]Chaoyu Gong, Zhi-gang Su, Qian Wang, Yang You:
Distributed EK-NN Classification. BELIEF 2022: 99-108 - [c31]Kai Wang, Shuo Wang, Panpan Zhang, Zhipeng Zhou, Zheng Zhu, Xiaobo Wang, Xiaojiang Peng, Baigui Sun, Hao Li, Yang You:
An Efficient Training Approach for Very Large Scale Face Recognition. CVPR 2022: 4073-4082 - [c30]Wangbo Zhao, Kai Wang, Xiangxiang Chu, Fuzhao Xue, Xinchao Wang, Yang You:
Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation. CVPR 2022: 11727-11736 - [c29]Kai Wang, Bo Zhao, Xiangyu Peng, Zheng Zhu, Shuo Yang, Shuo Wang, Guan Huang, Hakan Bilen, Xinchao Wang, Yang You:
CAFE: Learning to Condense Dataset by Aligning Features. CVPR 2022: 12186-12195 - [c28]Yong Liu, Siqi Mai, Xiangning Chen, Cho-Jui Hsieh, Yang You:
Towards Efficient and Scalable Sharpness-Aware Minimization. CVPR 2022: 12350-12360 - [c27]Xiangyu Peng, Kai Wang, Zheng Zhu, Mang Wang, Yang You:
Crafting Better Contrastive Views for Siamese Representation Learning. CVPR 2022: 16010-16019 - [c26]Chaoyu Gong, Yongbin Liu, Di Fu, Yong Liu, Pei-hong Wang, Yang You:
Self-reconstructive evidential clustering for high-dimensional data. ICDE 2022: 2099-2112 - [c25]Chaoyu Gong, Yongbin Li, Yong Liu, Pei-hong Wang, Yang You:
Joint Evidential $K$-Nearest Neighbor Classification. ICDE 2022: 2113-2126 - [c24]Yong Liu, Xiangning Chen, Minhao Cheng, Cho-Jui Hsieh, Yang You:
Concurrent Adversarial Learning for Large-Batch Training. ICLR 2022 - [c23]Boxiang Wang, Qifan Xu, Zhengda Bian, Yang You:
Tesseract: Parallelize the Tensor Parallelism Efficiently. ICPP 2022: 12:1-12:11 - [c22]Jiangsu Du, Jiazhi Jiang, Yang You, Dan Huang, Yutong Lu:
Handling heavy-tailed input of transformer inference on GPUs. ICS 2022: 38:1-38:11 - [c21]Yong Liu, Siqi Mai, Minhao Cheng, Xiangning Chen, Cho-Jui Hsieh, Yang You:
Random Sharpness-Aware Minimization. NeurIPS 2022 - [i38]Fuzhao Xue, Xiaoxin He, Xiaozhe Ren, Yuxuan Lou, Yang You:
One Student Knows All Experts Know: From Sparse to Dense. CoRR abs/2201.10890 (2022) - [i37]Xiangyu Peng, Kai Wang, Zheng Zhu, Yang You:
Crafting Better Contrastive Views for Siamese Representation Learning. CoRR abs/2202.03278 (2022) - [i36]Jie Zhu, Shenggui Li, Yang You:
Sky Computing: Accelerating Geo-distributed Computing in Federated Learning. CoRR abs/2202.11836 (2022) - [i35]Shenggan Cheng, Ruidong Wu, Zhongming Yu, Bin-Rui Li, Xiwen Zhang, Jian Peng, Yang You:
FastFold: Reducing AlphaFold Training Time from 11 Days to 67 Hours. CoRR abs/2203.00854 (2022) - [i34]Kai Wang, Bo Zhao, Xiangyu Peng, Zheng Zhu, Shuo Yang, Shuo Wang, Guan Huang, Hakan Bilen, Xinchao Wang, Yang You:
CAFE: Learning to Condense Dataset by Aligning Features. CoRR abs/2203.01531 (2022) - [i33]Yong Liu, Siqi Mai, Xiangning Chen, Cho-Jui Hsieh, Yang You:
Towards Efficient and Scalable Sharpness-Aware Minimization. CoRR abs/2203.02714 (2022) - [i32]Wangbo Zhao, Kai Wang, Xiangxiang Chu, Fuzhao Xue, Xinchao Wang, Yang You:
Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation. CoRR abs/2204.02547 (2022) - [i31]Zangwei Zheng, Pengtai Xu, Xuan Zou, Da Tang, Zhen Li, Chenguang Xi, Peng Wu, Leqi Zou, Yijie Zhu, Ming Chen, Xiangzhuo Ding, Fuzhao Xue, Ziheng Qing, Youlong Cheng, Yang You:
CowClip: Reducing CTR Prediction Model Training Time from 12 hours to 10 minutes on 1 GPU. CoRR abs/2204.06240 (2022) - [i30]Kai Wang, Xiangyu Peng, Shuo Yang, Jianfei Yang, Zheng Zhu, Xinchao Wang, Yang You:
Reliable Label Correction is a Good Booster When Learning with Extremely Noisy Labels. CoRR abs/2205.00186 (2022) - [i29]Fuzhao Xue, Jianghai Chen, Aixin Sun, Xiaozhe Ren, Zangwei Zheng, Xiaoxin He, Xin Jiang, Yang You:
Deeper vs Wider: A Revisit of Transformer Configuration. CoRR abs/2205.10505 (2022) - [i28]Kai Wang, Bo Zhao, Xiangyu Peng, Zheng Zhu, Jiankang Deng, Xinchao Wang, Hakan Bilen, Yang You:
FaceMAE: Privacy-Preserving Face Recognition via Masked Autoencoders. CoRR abs/2205.11090 (2022) - [i27]Jianfei Yang, Xiangyu Peng, Kai Wang, Zheng Zhu, Jiashi Feng, Lihua Xie, Yang You:
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors. CoRR abs/2205.14467 (2022) - [i26]Jiarui Fang, Geng Zhang, Jiatong Han, Shenggui Li, Zhengda Bian, Yongbin Li, Jin Liu, Yang You:
A Frequency-aware Software Cache for Large Recommendation System Embeddings. CoRR abs/2208.05321 (2022) - [i25]Zangwei Zheng, Xiangyu Yue, Kai Wang, Yang You:
Prompt Vision Transformer for Domain Generalization. CoRR abs/2208.08914 (2022) - [i24]Jiangsu Du, Ziming Liu, Jiarui Fang, Shenggui Li, Yongbin Li, Yutong Lu, Yang You:
EnergonAI: An Inference System for 10-100 Billion Parameter Transformer Models. CoRR abs/2209.02341 (2022) - [i23]Haichen Huang, Jiarui Fang, Hongxin Liu, Shenggui Li, Yang You:
Elixir: Train a Large Language Model on a Small GPU Cluster. CoRR abs/2212.05339 (2022) - [i22]Xin Hu, Lingling Zhang, Jun Liu, Jinfu Fan, Yang You, Yaqiang Wu:
GPTR: Gestalt-Perception Transformer for Diagram Object Detection. CoRR abs/2212.14232 (2022) - 2021
- [j9]Yang You, Jingyue Huang, Cho-Jui Hsieh, Richard W. Vuduc, James Demmel:
Communication-avoiding kernel ridge regression on parallel and distributed systems. CCF Trans. High Perform. Comput. 3(3): 252-270 (2021) - [j8]Chaoyu Gong, Zhi-gang Su, Pei-hong Wang, Qian Wang, Yang You:
Evidential instance selection for K-nearest neighbor classification of big data. Int. J. Approx. Reason. 138: 123-144 (2021) - [c20]Kai Wang, Shuo Wang, Jianfei Yang, Xiaobo Wang, Baigui Sun, Hao Li, Yang You:
Mask Aware Network for Masked Face Recognition in the Wild. ICCVW 2021: 1456-1461 - [c19]Arissa Wongpanich, Hieu Pham, James Demmel, Mingxing Tan, Quoc V. Le, Yang You, Sameer Kumar:
Training EfficientNets at Supercomputer Scale: 83% ImageNet Top-1 Accuracy in One Hour. IPDPS Workshops 2021: 947-950 - [c18]Ruobing Han, Min Si, James Demmel, Yang You:
Dynamic scaling for low-precision learning. PPoPP 2021: 480-482 - [c17]Zhengda Bian, Shenggui Li, Wei Wang, Yang You:
Online evolutionary batch size orchestration for scheduling deep learning workloads in GPU clusters. SC 2021: 100 - [c16]Ruobing Han, James Demmel, Yang You:
Auto-Precision Scaling for Distributed Deep Learning. ISC 2021: 79-97 - [i21]Qifan Xu, Shenggui Li, Chaoyu Gong, Yang You:
An Efficient 2D Method for Training Super-Large Deep Learning Models. CoRR abs/2104.05343 (2021) - [i20]Kai Wang, Shuo Wang, Zhipeng Zhou, Xiaobo Wang, Xiaojiang Peng, Baigui Sun, Hao Li, Yang You:
An Efficient Training Approach for Very Large Scale Face Recognition. CoRR abs/2105.10375 (2021) - [i19]Shenggui Li, Fuzhao Xue, Yongbin Li, Yang You:
Sequence Parallelism: Making 4D Parallelism Possible. CoRR abs/2105.13120 (2021) - [i18]Zhengda Bian, Qifan Xu, Boxiang Wang, Yang You:
Maximizing Parallelism in Distributed Training for Huge Neural Networks. CoRR abs/2105.14450 (2021) - [i17]Boxiang Wang, Qifan Xu, Zhengda Bian, Yang You:
2.5-dimensional distributed model training. CoRR abs/2105.14500 (2021) - [i16]Yong Liu, Xiangning Chen, Minhao Cheng, Cho-Jui Hsieh, Yang You:
Concurrent Adversarial Learning for Large-Batch Training. CoRR abs/2106.00221 (2021) - [i15]Fuzhao Xue, Ziji Shi, Futao Wei, Yuxuan Lou, Yong Liu, Yang You:
Go Wider Instead of Deeper. CoRR abs/2107.11817 (2021) - [i14]Zhengda Bian, Shenggui Li, Wei Wang, Yang You:
Online Evolutionary Batch Size Orchestration for Scheduling Deep Learning Workloads in GPU Clusters. CoRR abs/2108.03645 (2021) - [i13]Jiarui Fang, Yang Yu, Shenggui Li, Yang You, Jie Zhou:
PatrickStar: Parallel Training of Pre-trained Models via a Chunk-based Memory Management. CoRR abs/2108.05818 (2021) - [i12]Yuxuan Lou, Fuzhao Xue, Zangwei Zheng, Yang You:
Sparse-MLP: A Fully-MLP Architecture with Conditional Computation. CoRR abs/2109.02008 (2021) - [i11]Zhengda Bian, Hongxin Liu, Boxiang Wang, Haichen Huang, Yongbin Li, Chuanrui Wang, Fan Cui, Yang You:
Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training. CoRR abs/2110.14883 (2021) - [i10]Xiaoxin He, Fuzhao Xue, Xiaozhe Ren, Yang You:
Large-Scale Deep Learning Optimizations: A Comprehensive Survey. CoRR abs/2111.00856 (2021) - 2020
- [b1]Yang You:
Fast and Accurate Machine Learning on Distributed Systems and Supercomputers. University of California, Berkeley, USA, 2020 - [j7]Yang You, Yuxiong He, Samyam Rajbhandari, Wenhan Wang, Cho-Jui Hsieh, Kurt Keutzer, James Demmel:
Fast LSTM by dynamic decomposition on cloud and distributed systems. Knowl. Inf. Syst. 62(11): 4169-4197 (2020) - [c15]Arissa Wongpanich, Yang You, James Demmel:
Rethinking the Value of Asynchronous Solvers for Distributed Deep Learning. HPC Asia 2020: 52-60 - [c14]Yang You, Jing Li, Sashank J. Reddi, Jonathan Hseu, Sanjiv Kumar, Srinadh Bhojanapalli, Xiaodan Song, James Demmel, Kurt Keutzer, Cho-Jui Hsieh:
Large Batch Optimization for Deep Learning: Training BERT in 76 minutes. ICLR 2020 - [i9]Yang You, Yuhui Wang, Huan Zhang, Zhao Zhang, James Demmel, Cho-Jui Hsieh:
The Limit of the Batch Size. CoRR abs/2006.08517 (2020) - [i8]Yuanhao Xiong, Xuanqing Liu, Li-Cheng Lan, Yang You, Si Si, Cho-Jui Hsieh:
How much progress have we made in neural network training? A New Evaluation Protocol for Benchmarking Optimizers. CoRR abs/2010.09889 (2020) - [i7]Arissa Wongpanich, Hieu Pham, James Demmel, Mingxing Tan, Quoc V. Le, Yang You, Sameer Kumar:
Training EfficientNets at Supercomputer Scale: 83% ImageNet Top-1 Accuracy in One Hour. CoRR abs/2011.00071 (2020)
2010 – 2019
- 2019
- [j6]Yang You, Zhao Zhang, Cho-Jui Hsieh, James Demmel, Kurt Keutzer:
Fast Deep Neural Network Training on Distributed Systems and Cloud TPUs. IEEE Trans. Parallel Distributed Syst. 30(11): 2449-2462 (2019) - [c13]Yang You, Yuxiong He, Samyam Rajbhandari, Wenhan Wang, Cho-Jui Hsieh, Kurt Keutzer, James Demmel:
Fast LSTM Inference by Dynamic Decomposition on Cloud Systems. ICDM 2019: 748-757 - [c12]Yang You, Jonathan Hseu, Chris Ying, James Demmel, Kurt Keutzer, Cho-Jui Hsieh:
Large-batch training for LSTM and beyond. SC 2019: 9:1-9:16 - [i6]Yang You, Jonathan Hseu, Chris Ying, James Demmel, Kurt Keutzer, Cho-Jui Hsieh:
Large-Batch Training for LSTM and Beyond. CoRR abs/1901.08256 (2019) - [i5]Yang You, Jing Li, Jonathan Hseu, Xiaodan Song, James Demmel, Cho-Jui Hsieh:
Reducing BERT Pre-Training Time from 3 Days to 76 Minutes. CoRR abs/1904.00962 (2019) - [i4]Ruobing Han, Yang You, James Demmel:
Auto-Precision Scaling for Distributed Deep Learning. CoRR abs/1911.08907 (2019) - 2018
- [c11]Yang You, Zhao Zhang, Cho-Jui Hsieh, James Demmel, Kurt Keutzer:
ImageNet Training in Minutes. ICPP 2018: 1:1-1:10 - [c10]Yang You, James Demmel, Cho-Jui Hsieh, Richard W. Vuduc:
Accurate, Fast and Scalable Kernel Ridge Regression on Parallel and Distributed Systems. ICS 2018: 307-317 - [i3]Yang You, James Demmel, Cho-Jui Hsieh, Richard W. Vuduc:
Accurate, Fast and Scalable Kernel Ridge Regression on Parallel and Distributed Systems. CoRR abs/1805.00569 (2018) - 2017
- [j5]Yang You, Haohuan Fu, David A. Bader, Guangwen Yang:
Designing and implementing a heuristic cross-architecture combination for graph traversal. J. Parallel Distributed Comput. 108: 95-105 (2017) - [j4]Weijia Li, Haohuan Fu, Yang You, Le Yu, Jiarui Fang:
Parallel Multiclass Support Vector Machine for Remote Sensing Data Classification on Multicore and Many-Core Architectures. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(10): 4387-4398 (2017) - [j3]Yang You, James Demmel, Kent Czechowski, Le Song, Rich Vuduc:
Design and Implementation of a Communication-Optimal Classifier for Distributed Kernel Support Vector Machines. IEEE Trans. Parallel Distributed Syst. 28(4): 974-988 (2017) - [c9]Yang You, James Demmel:
Runtime Data Layout Scheduling for Machine Learning Dataset. ICPP 2017: 452-461 - [c8]Yang You, Aydin Buluç, James Demmel:
Scaling deep learning on GPU and knights landing clusters. SC 2017: 9 - [i2]Yang You, Aydin Buluç, James Demmel:
Scaling Deep Learning on GPU and Knights Landing clusters. CoRR abs/1708.02983 (2017) - [i1]Yang You, Zhao Zhang, Cho-Jui Hsieh, James Demmel:
100-epoch ImageNet Training with AlexNet in 24 Minutes. CoRR abs/1709.05011 (2017) - 2016
- [c7]Yang You, Xiangru Lian, Ji Liu, Hsiang-Fu Yu, Inderjit S. Dhillon, James Demmel, Cho-Jui Hsieh:
Asynchronous Parallel Greedy Coordinate Descent. NIPS 2016: 4682-4690 - 2015
- [j2]Yang You, Haohuan Fu, Shuaiwen Leon Song, Amanda Peters Randles, Darren J. Kerbyson, Andres Marquez, Guangwen Yang, Adolfy Hoisie:
Scaling Support Vector Machines on modern HPC platforms. J. Parallel Distributed Comput. 76: 16-31 (2015) - [c6]Yang You, James Demmel, Kenneth Czechowski, Le Song, Richard W. Vuduc:
CA-SVM: Communication-Avoiding Support Vector Machines on Distributed Systems. IPDPS 2015: 847-859 - 2014
- [j1]Yang You, Haohuan Fu, Shuaiwen Leon Song, Maryam Mehri Dehnavi, Lin Gan, Xiaomeng Huang, Guangwen Yang:
Evaluating multi-core and many-core architectures through accelerating the three-dimensional Lax-Wendroff correction stencil. Int. J. High Perform. Comput. Appl. 28(3): 301-318 (2014) - [c5]Lin Gan, Haohuan Fu, Wei Xue, Yangtong Xu, Chao Yang, Xinliang Wang, Zihong Lv, Yang You, Guangwen Yang, Kaijian Ou:
Scaling and analyzing the stencil performance on multi-core and many-core architectures. ICPADS 2014: 103-110 - [c4]Yang You, David A. Bader, Maryam Mehri Dehnavi:
Designing a Heuristic Cross-Architecture Combination for Breadth-First Search. ICPP 2014: 70-79 - [c3]Yang You, Shuaiwen Leon Song, Darren J. Kerbyson:
An adaptive cross-architecture combination method for graph traversal. ICS 2014: 169 - [c2]Yang You, Shuaiwen Leon Song, Haohuan Fu, Andres Marquez, Maryam Mehri Dehnavi, Kevin J. Barker, Kirk W. Cameron, Amanda Peters Randles, Guangwen Yang:
MIC-SVM: Designing a Highly Efficient Support Vector Machine for Advanced Modern Multi-core and Many-Core Architectures. IPDPS 2014: 809-818 - 2013
- [c1]Yang You, Haohuan Fu, Xiaomeng Huang, Guojie Song, Lin Gan, Wenjian Yu, Guangwen Yang:
Accelerating the 3D Elastic Wave Forward Modeling on GPU and MIC. IPDPS Workshops 2013: 1088-1096
Coauthor Index
James Demmel
aka: Jim Demmel
aka: Jim Demmel
[c69] [c66] [c64] [c63] [c60] [c59] [c57] [i94] [i90] [i89] [i88] [i83] [i81] [i80] [i79] [i77] [i75] [i74] [i73] [i72] [i70] [i67] [c49] [c48] [c47] [c46] [c45] [c42] [c36] [i63] [i62] [i61] [i60] [i59] [i58] [i54] [i51] [i50] [i49] [i47] [i46] [i45] [i44] [i41] [i39] [c31] [c30] [c29] [c27] [i37] [i34] [i32] [i30] [i28] [i27] [i25] [c20] [i20]
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