Yang You - RankMe

241 papers A* 51A 10B 10C 3Journal 151Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CAMEL: Confidence-Gated Reflection for Reward Modeling. CoRR Zirui Zhu, Hailun Xu, Yang Luo, Yong Liu, Kanchan Sarkar, Kun Xu, Yang You
2026	J	`jnl`	DyDiT++: Diffusion Transformers With Timestep and Spatial Dynamics for Efficient Visual Generation. IEEE Trans. Pattern Anal. Mach. Intell. Wangbo Zhao, Yizeng Han, Jiasheng Tang, Kai Wang, Hao Luo, Yibing Song, Gao Huang, Fan Wang, Yang You
2026	B	`conf`	HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism. PPoPP Geng Zhang, Shenggan Cheng, Xuanlei Zhao, Ziming Liu, Yang You
2026	J	`jnl`	K-Sort Eval: Efficient Preference Evaluation for Visual Generation via Corrected VLM-as-a-Judge. CoRR Zhikai Li, Jiatong Li, Xuewen Liu, Wangbo Zhao, Pan Du, Kaicheng Zhou, Qingyi Gu, Yang You, Zhen Dong, Kurt Keutzer
2026	A*	`conf`	MDK12-Bench: A Multi-Discipline Benchmark for Evaluating Reasoning in Multimodal Large Language Models. AAAI Pengfei Zhou, Xiaopeng Peng, Fanrui Zhang, Zhaopan Xu, Jiaxin Ai, Yansheng Qiu, Wangbo Zhao, Jiajun Song, Chuanhao Li, Weidong Tang, Zhen Li, Haoquan Zhang, Zizhen Li, Xiaofeng Mao, Yukang Feng, Jianwen Sun, Kai Wang, Xiaojun Chang, Wenqi Shao, Yang You, Kaipeng Zhang
2026	J	`jnl`	SortedRL: Accelerating RL Training for LLMs through Online Length-Aware Scheduling. CoRR Yiqi Zhang, Huiqiang Jiang, Xufang Luo, Zhihe Yang, Chengruidong Zhang, Yifei Shen, Dongsheng Li, Yuqing Yang, Lili Qiu, Yang You
2025	A*	`conf`	A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training. CVPR Kai Wang, Mingjia Shi, Yukun Zhou, Zekai Li, Zhihang Yuan, Yuzhang Shang, Xiaojiang Peng, Hanwang Zhang, Yang You
2025	A*	`conf`	A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for Accelerating Large VLMs. CVPR Wangbo Zhao, Yizeng Han, Jiasheng Tang, Zhikai Li, Yibing Song, Kai Wang, Zhangyang Wang, Yang You
2025	J	`jnl`	CDIO: Cross-Domain Inference Optimization with Resource Preference Prediction for Edge-Cloud Collaboration. CoRR Zheming Yang, Wen Ji, Qi Guo, Dieli Hu, Chang Zhao, Xiaowei Li, Xuanlei Zhao, Yi Zhao, Chaoyu Gong, Yang You
2025	—	`conf`	Concerto: Automatic Communication Optimization and Scheduling for Large-Scale Deep Learning. ASPLOS (1) Shenggan Cheng, Shengjie Lin, Lansong Diao, Hao Wu, Siyu Wang, Chang Si, Ziming Liu, Xuanlei Zhao, Jiangsu Du, Wei Lin, Yang You
2025	J	`jnl`	DD-Ranking: Rethinking the Evaluation of Dataset Distillation. CoRR Zekai Li, Xinhao Zhong, Samir Khaki, Zhiyuan Liang, Yuhao Zhou, Mingjia Shi, Ziqiao Wang, Xuanlei Zhao, Wangbo Zhao, Ziheng Qin, Mengxuan Wu, Pengfei Zhou, Haonan Wang, David Junhao Zhang, Jia-Wei Liu, Shaobo Wang, Dai Liu, Linfeng Zhang, Guang Li, Kun Wang, Zheng Zhu, Zhiheng Ma, Joey Tianyi Zhou, Jiancheng Lv, Yaochu Jin, Peihao Wang, Kaipeng Zhang, Lingjuan Lyu, Yiran Huang, Zeynep Akata, Zhiwei Deng, Xindi Wu, George Cazenavette, Yuzhang Shang, Justin Cui, Jindong Gu, Qian Zheng, Hao Ye, Shuo Wang, Xiaobo Wang, Yan Yan, Angela Yao, Mike Zheng Shou, Tianlong Chen, Hakan Bilen, Baharan Mirzasoleiman, Manolis Kellis, Konstantinos N. Plataniotis, Zhangyang Wang, Bo Zhao, Yang You, Kai Wang
2025	A*	`conf`	DSP: Dynamic Sequence Parallelism for Multi-Dimensional Transformers. ICML Xuanlei Zhao, Shenggan Cheng, Chang Chen, Zangwei Zheng, Ziming Liu, Zheming Yang, Yang You
2025	—	`conf`	DavIR: Data Selection via Implicit Reward for Large Language Models. ACL (1) Haotian Zhou, Tingkai Liu, Qianli Ma, Yufeng Zhang, Jianbo Yuan, Pengfei Liu, Yang You, Hongxia Yang
2025	J	`jnl`	Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights. CoRR Zhiyuan Liang, Dongwen Tang, Yuhao Zhou, Xuanlei Zhao, Mingjia Shi, Wangbo Zhao, Zekai Li, Peihao Wang, Konstantin Schürholt, Damian Borth, Michael M. Bronstein, Yang You, Zhangyang Wang, Kai Wang
2025	J	`jnl`	DyDiT++: Dynamic Diffusion Transformers for Efficient Visual Generation. CoRR Wangbo Zhao, Yizeng Han, Jiasheng Tang, Kai Wang, Hao Luo, Yibing Song, Gao Huang, Fan Wang, Yang You
2025	A*	`conf`	Dynamic Diffusion Transformer. ICLR Wangbo Zhao, Yizeng Han, Jiasheng Tang, Kai Wang, Yibing Song, Gao Huang, Fan Wang, Yang You
2025	J	`jnl`	Dynamic Vision Mamba. CoRR Mengxuan Wu, Zekai Li, Zhiyuan Liang, Moyang Li, Xuanlei Zhao, Samir Khaki, Zheng Zhu, Xiaojiang Peng, Konstantinos N. Plataniotis, Kai Wang, Wangbo Zhao, Yang You
2025	J	`jnl`	ElasticMM: Efficient Multimodal LLMs Serving with Elastic Multimodal Parallelism. CoRR Zedong Liu, Shenggan Cheng, Guangming Tan, Yang You, Dingwen Tao
2025	A*	`conf`	Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios. CVPR Kai Wang, Zekai Li, Zhi-Qi Cheng, Samir Khaki, Ahmad Sajedi, Ramakrishna Vedantam, Konstantinos N. Plataniotis, Alexander Hauptmann, Yang You
2025	J	`jnl`	Enhance-A-Video: Better Generated Video for Free. CoRR Yang Luo, Xuanlei Zhao, Mengzhao Chen, Kaipeng Zhang, Wenqi Shao, Kai Wang, Zhangyang Wang, Yang You
2025	J	`jnl`	Expert-as-a-Service: Towards Efficient, Scalable, and Robust Large-scale MoE Serving. CoRR Ziming Liu, Boyu Tian, Guoteng Wang, Zhen Jiang, Peng Sun, Zhenhua Han, Tian Tang, Xiaohe Hu, Yanmin Jia, Yan Zhang, He Liu, Mingjun Zhang, Yiqi Zhang, Qiaoling Chen, Shenggan Cheng, Mingyu Gao, Yang You, Siyuan Feng
2025	J	`jnl`	FOCUS: Efficient Keyframe Selection for Long Video Understanding. CoRR Zirui Zhu, Hailun Xu, Yang Luo, Yong Liu, Kanchan Sarkar, Zhenheng Yang, Yang You
2025	J	`jnl`	HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism. CoRR Geng Zhang, Shenggan Cheng, Xuanlei Zhao, Ziming Liu, Yang You
2025	A*	`conf`	Info-Coevolution: An Efficient Framework for Data Model Coevolution. ICML Ziheng Qin, Hailun Xu, Wei Chee Yew, Qi Jia, Yang Luo, Kanchan Sarkar, Danhui Guan, Kai Wang, Yang You
2025	J	`jnl`	Info-Coevolution: An Efficient Framework for Data Model Coevolution. CoRR Ziheng Qin, Hailun Xu, Wei Chee Yew, Qi Jia, Yang Luo, Kanchan Sarkar, Danhui Guan, Kai Wang, Yang You
2025	J	`jnl`	KMT-PLL: K-Means Cross-Attention Transformer for Partial Label Learning. IEEE Trans. Neural Networks Learn. Syst. Jinfu Fan, Linqing Huang, Chaoyu Gong, Yang You, Min Gan, Zhongjie Wang
2025	J	`jnl`	MDK12-Bench: A Comprehensive Evaluation of Multimodal Large Language Models on Multidisciplinary Exams. CoRR Pengfei Zhou, Xiaopeng Peng, Fanrui Zhang, Zhaopan Xu, Jiaxin Ai, Yansheng Qiu, Chuanhao Li, Zhen Li, Ming Li, Yukang Feng, Jianwen Sun, Haoquan Zhang, Zizhen Li, Xiaofeng Mao, Zekai Li, Wangbo Zhao, Kai Wang, Xiaojun Chang, Wenqi Shao, Yang You, Kaipeng Zhang
2025	J	`jnl`	MDK12-Bench: A Multi-Discipline Benchmark for Evaluating Reasoning in Multimodal Large Language Models. CoRR Pengfei Zhou, Fanrui Zhang, Xiaopeng Peng, Zhaopan Xu, Jiaxin Ai, Yansheng Qiu, Chuanhao Li, Zhen Li, Ming Li, Yukang Feng, Jianwen Sun, Haoquan Zhang, Zizhen Li, Xiaofeng Mao, Wangbo Zhao, Kai Wang, Xiaojun Chang, Wenqi Shao, Yang You, Kaipeng Zhang
2025	A*	`conf`	MERIT: Maximum-normalized Element-wise Ratio for Language Model Large-batch Training. ICML Yang Luo, Zangwei Zheng, Ziheng Qin, Zirui Zhu, Yong Liu, Yang You
2025	J	`jnl`	MERIT: Maximum-normalized Element-wise Ratio for Language Model Large-batch Training. CoRR Yang Luo, Zangwei Zheng, Ziheng Qin, Zirui Zhu, Yong Liu, Yang You
2025	J	`jnl`	Memory Transfer Planning: LLM-driven Context-Aware Code Adaptation for Robot Manipulation. CoRR Tomoyuki Kagaya, Subramanian Lakshmi, Yuxuan Lou, Thong Jing Yuan, Jayashree Karlekar, Sugiri Pranata, Natsuki Murakami, Akira Kinose, Yang You
2025	A*	`conf`	MixEval-X: Any-to-any Evaluations from Real-world Data Mixture. ICLR Jinjie Ni, Yifan Song, Deepanway Ghosal, Bo Li, David Junhao Zhang, Xiang Yue, Fuzhao Xue, Yuntian Deng, Zian Zheng, Kaichen Zhang, Mahir Shah, Kabir Jain, Yang You, Michael Shieh
2025	J	`jnl`	MoNE: Replacing Redundant Experts with Lightweight Novices for Structured Pruning of MoE. CoRR Geng Zhang, Yuxuan Han, Yuxuan Lou, Wangbo Zhao, Yiqi Zhang, Yang You
2025	J	`jnl`	Neural-Driven Image Editing. CoRR Pengfei Zhou, Jie Xia, Xiaopeng Peng, Wangbo Zhao, Zilong Ye, Zekai Li, Suorong Yang, Jiadong Pan, Yuanxiang Chen, Ziqiao Wang, Kai Wang, Qian Zheng, Xiaojun Chang, Gang Pan, Shurong Dong, Kaipeng Zhang, Yang You
2025	J	`jnl`	On-the-Fly Data Augmentation via Gradient-Guided and Sample-Aware Influence Estimation. CoRR Suorong Yang, Jie Zong, Lihang Wang, Ziheng Qin, Hai Gan, Pengfei Zhou, Kai Wang, Yang You, Furao Shen
2025	J	`jnl`	Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k. CoRR Xiangyu Peng, Zangwei Zheng, Chenhui Shen, Tom Young, Xinying Guo, Binluo Wang, Hang Xu, Hongxin Liu, Mingyan Jiang, Wenjun Li, Yuhui Wang, Anbang Ye, Gang Ren, Qianran Ma, Wanying Liang, Xiang Lian, Xiwen Wu, Yuting Zhong, Zhuangyan Li, Chaoyu Gong, Guojun Lei, Leijun Cheng, Limin Zhang, Minghao Li, Ruijie Zhang, Silan Hu, Shijie Huang, Xiaokang Wang, Yuanheng Zhao, Yuqi Wang, Ziang Wei, Yang You
2025	J	`jnl`	PEBench: A Fictitious Dataset to Benchmark Machine Unlearning for Multimodal Large Language Models. CoRR Zhaopan Xu, Pengfei Zhou, Weidong Tang, Jiaxin Ai, Wangbo Zhao, Xiaojiang Peng, Kai Wang, Yang You, Wenqi Shao, Hongxun Yao, Kaipeng Zhang
2025	J	`jnl`	POME: Post Optimization Model Edit via Muon-style Projection. CoRR Yong Liu, Di Fu, Yang Luo, Zirui Zhu, Minhao Cheng, Cho-Jui Hsieh, Yang You
2025	J	`jnl`	RAPID CoRR Wangbo Zhao, Yizeng Han, Zhiwei Tang, Jiasheng Tang, Pengfei Zhou, Kai Wang, Bohan Zhuang, Zhangyang Wang, Fan Wang, Yang You
2025	J	`jnl`	REPA Works Until It Doesn't: Early-Stopped, Holistic Alignment Supercharges Diffusion Training. CoRR Ziqiao Wang, Wangbo Zhao, Yuhao Zhou, Zekai Li, Zhiyuan Liang, Mingjia Shi, Xuanlei Zhao, Pengfei Zhou, Kaipeng Zhang, Zhangyang Wang, Kai Wang, Yang You
2025	A*	`conf`	Real-Time Video Generation with Pyramid Attention Broadcast. ICLR Xuanlei Zhao, Xiaolong Jin, Kai Wang, Yang You
2025	J	`jnl`	Recurrent Diffusion for Large-Scale Parameter Generation. CoRR Kai Wang, Dongwen Tang, Wangbo Zhao, Yang You
2025	J	`jnl`	Region-Adaptive Sampling for Diffusion Transformers. CoRR Ziming Liu, Yifan Yang, Chengruidong Zhang, Yiqi Zhang, Lili Qiu, Yang You, Yuqing Yang
2025	J	`jnl`	SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation. CoRR Shenggan Cheng, Yuanxin Wei, Lansong Diao, Yong Liu, Bujiao Chen, Lianghua Huang, Yu Liu, Wenyuan Yu, Jiangsu Du, Wei Lin, Yang You
2025	A*	`conf`	SeedLoRA: A Fusion Approach to Efficient LLM Fine-Tuning. ICML Yong Liu, Di Fu, Shenggan Cheng, Zirui Zhu, Yang Luo, Minhao Cheng, Cho-Jui Hsieh, Yang You
2025	J	`jnl`	Unbiased Gradient Low-Rank Projection. CoRR Rui Pan, Yang Luo, Yuxing Liu, Yang You, Tong Zhang
2025	A*	`conf`	Unsupervised Learning for Class Distribution Mismatch. ICML Pan Du, Wangbo Zhao, Xinai Lu, Nian Liu, Zhikai Li, Chaoyu Gong, Suyun Zhao, Hong Chen, Cuiping Li, Kai Wang, Yang You
2025	J	`jnl`	Unsupervised Learning for Class Distribution Mismatch. CoRR Pan Du, Wangbo Zhao, Xinai Lu, Nian Liu, Zhikai Li, Chaoyu Gong, Suyun Zhao, Hong Chen, Cuiping Li, Kai Wang, Yang You
2025	J	`jnl`	ViReSkill: Vision-Grounded Replanning with Skill Memory for LLM-Based Planning in Lifelong Robot Learning. CoRR Tomoyuki Kagaya, Subramanian Lakshmi, Anbang Ye, Thong Jing Yuan, Jayashree Karlekar, Sugiri Pranata, Natsuki Murakami, Akira Kinose, Yang You
2025	B	`conf`	WeiPipe: Weight Pipeline Parallelism for Communication-Effective Long-Context Large Model Training. PPoPP Junfeng Lin, Ziming Liu, Yang You, Jun Wang, Weihao Zhang, Rong Zhao
2024	J	`jnl`	A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training. CoRR Kai Wang, Yukun Zhou, Mingjia Shi, Zhihang Yuan, Yuzhang Shang, Xiaojiang Peng, Hanwang Zhang, Yang You
2024	J	`jnl`	A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for Accelerating Large VLMs. CoRR Wangbo Zhao, Yizeng Han, Jiasheng Tang, Zhikai Li, Yibing Song, Kai Wang, Zhangyang Wang, Yang You
2024	A*	`conf`	AutoChunk: Automated Activation Chunk for Memory-Efficient Deep Learning Inference. ICLR Xuanlei Zhao, Shenggan Cheng, Guangyang Lu, Haotian Zhou, Bin Jia, Yang You
2024	J	`jnl`	AutoChunk: Automated Activation Chunk for Memory-Efficient Long Sequence Inference. CoRR Xuanlei Zhao, Shenggan Cheng, Guangyang Lu, Jiarui Fang, Haotian Zhou, Bin Jia, Ziming Liu, Yang You
2024	J	`jnl`	Boosting LLM via Learning from Data Iteratively and Selectively. CoRR Qi Jia, Siyu Ren, Ziheng Qin, Fuzhao Xue, Jinjie Ni, Yang You
2024	J	`jnl`	Conditional LoRA Parameter Generation. CoRR Xiaolong Jin, Kai Wang, Dongwen Tang, Wangbo Zhao, Yukun Zhou, Junshu Tang, Yang You
2024	J	`jnl`	DSP: Dynamic Sequence Parallelism for Multi-Dimensional Transformers. CoRR Xuanlei Zhao, Shenggan Cheng, Zangwei Zheng, Zheming Yang, Ziming Liu, Yang You
2024	—	`conf`	Dataset Growth. ECCV (9) 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
2024	J	`jnl`	Dataset Growth. CoRR 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
2024	—	`conf`	DiM: Distilling Dataset into Generative Model. ECCV Workshops (19) Kai Wang, Jianyang Gu, Hansong Zhang, Daquan Zhou, Zheng Zhu, Wei Jiang, Yang You
2024	A*	`conf`	DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation. ICML Zelin Zang, Hao Luo, Kai Wang, Panpan Zhang, Fan Wang, Stan Z. Li, Yang You
2024	J	`jnl`	Distributed and Joint Evidential K-Nearest Neighbor Classification. IEEE Trans. Knowl. Data Eng. Chaoyu Gong, Jim Demmel, Yang You
2024	J	`jnl`	Dynamic Diffusion Transformer. CoRR Wangbo Zhao, Yizeng Han, Jiasheng Tang, Kai Wang, Yibing Song, Gao Huang, Fan Wang, Yang You
2024	A*	`conf`	Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation. NeurIPS Wangbo Zhao, Jiasheng Tang, Yizeng Han, Yibing Song, Kai Wang, Gao Huang, Fan Wang, Yang You
2024	J	`jnl`	Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation. CoRR Wangbo Zhao, Jiasheng Tang, Yizeng Han, Yibing Song, Kai Wang, Gao Huang, Fan Wang, Yang You
2024	A*	`conf`	Efficient Dataset Distillation via Minimax Diffusion. CVPR Jianyang Gu, Saeed Vahidian, Vyacheslav Kungurtsev, Haonan Wang, Wei Jiang, Yang You, Yiran Chen
2024	J	`jnl`	Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios. CoRR Kai Wang, Zekai Li, Zhi-Qi Cheng, Samir Khaki, Ahmad Sajedi, Ramakrishna Vedantam, Konstantinos N. Plataniotis, Alex Hauptmann, Yang You
2024	J	`jnl`	EnvBridge: Bridging Diverse Environments with Cross-Environment Knowledge Transfer for Embodied AI. CoRR Tomoyuki Kagaya, Yuxuan Lou, Thong Jing Yuan, Subramanian Lakshmi, Jayashree Karlekar, Sugiri Pranata, Natsuki Murakami, Akira Kinose, Koki Oguri, Felix Wick, Yang You
2024	B	`conf`	FastFold: Optimizing AlphaFold Training and Inference on GPU Clusters. PPoPP Shenggan Cheng, Xuanlei Zhao, Guangyang Lu, Jiarui Fang, Tian Zheng, Ruidong Wu, Xiwen Zhang, Jian Peng, Yang You
2024	J	`jnl`	Faster Vision Mamba is Rebuilt in Minutes via Merged Token Re-training. CoRR Mingjia Shi, Yuhao Zhou, Ruiji Yu, Zekai Li, Zhiyuan Liang, Xuanlei Zhao, Xiaojiang Peng, Tanmay Rajpurohit, Shanmukha Ramakrishna Vedantam, Wangbo Zhao, Kai Wang, Yang You
2024	A*	`conf`	Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue Regularization. WWW Zirui Zhu, Yong Liu, Zangwei Zheng, Huifeng Guo, Yang You
2024	J	`jnl`	Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue Regularization. CoRR Zirui Zhu, Yong Liu, Zangwei Zheng, Huifeng Guo, Yang You
2024	—	`conf`	HeteGen: Efficient Heterogeneous Parallel Inference for Large Language Models on Resource-Constrained Devices. MLSys Xuanlei Zhao, Bin Jia, Haotian Zhou, Ziming Liu, Shenggan Cheng, Yang You
2024	J	`jnl`	HeteGen: Heterogeneous Parallel Inference for Large Language Models on Resource-Constrained Devices. CoRR Xuanlei Zhao, Bin Jia, Haotian Zhou, Ziming Liu, Shenggan Cheng, Yang You
2024	A*	`conf`	How Does the Textual Information Affect the Retrieval of Multimodal In-Context Learning? EMNLP Yang Luo, Zangwei Zheng, Zirui Zhu, Yang You
2024	J	`jnl`	How Does the Textual Information Affect the Retrieval of Multimodal In-Context Learning? CoRR Yang Luo, Zangwei Zheng, Zirui Zhu, Yang You
2024	A*	`conf`	InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning. ICLR Ziheng Qin, Kai Wang, Zangwei Zheng, Jianyang Gu, Xiangyu Peng, Zhaopan Xu, Daquan Zhou, Lei Shang, Baigui Sun, Xuansong Xie, Yang You
2024	J	`jnl`	Is Sora a World Simulator? A Comprehensive Survey on General World Models and Beyond. CoRR 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
2024	J	`jnl`	MixEval-X: Any-to-Any Evaluations from Real-World Data Mixtures. CoRR 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
2024	A*	`conf`	MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures. NeurIPS Jinjie Ni, Fuzhao Xue, Xiang Yue, Yuntian Deng, Mahir Shah, Kabir Jain, Graham Neubig, Yang You
2024	J	`jnl`	MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures. CoRR Jinjie Ni, Fuzhao Xue, Xiang Yue, Yuntian Deng, Mahir Shah, Kabir Jain, Graham Neubig, Yang You
2024	J	`jnl`	More Than Positive and Negative: Communicating Fine Granularity in Medical Diagnosis. CoRR Xiangyu Peng, Kai Wang, Jianfei Yang, Yingying Zhu, Yang You
2024	J	`jnl`	Must: Maximizing Latent Capacity of Spatial Transcriptomics Data. CoRR Zelin Zang, Liangyu Li, Yongjie Xu, Chenrui Duan, Kai Wang, Yang You, Yi Sun, Stan Z. Li
2024	A*	`conf`	Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching. ICML Yuchen Zhang, Tianle Zhang, Kai Wang, Ziyao Guo, Yuxuan Liang, Xavier Bresson, Wei Jin, Yang You
2024	J	`jnl`	Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching. CoRR Yuchen Zhang, Tianle Zhang, Kai Wang, Ziyao Guo, Yuxuan Liang, Xavier Bresson, Wei Jin, Yang You
2024	J	`jnl`	Neural Network Diffusion. CoRR Kai Wang, Zhaopan Xu, Yukun Zhou, Zelin Zang, Trevor Darrell, Zhuang Liu, Yang You
2024	J	`jnl`	Open-Sora: Democratizing Efficient Video Production for All. CoRR Zangwei Zheng, Xiangyu Peng, Tianji Yang, Chenhui Shen, Shenggui Li, Hongxin Liu, Yukun Zhou, Tianyi Li, Yang You
2024	A*	`conf`	OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models. ICML Fuzhao Xue, Zian Zheng, Yao Fu, Jinjie Ni, Zangwei Zheng, Wangchunshu Zhou, Yang You
2024	J	`jnl`	OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models. CoRR Fuzhao Xue, Zian Zheng, Yao Fu, Jinjie Ni, Zangwei Zheng, Wangchunshu Zhou, Yang You
2024	—	`conf`	ParaGAN: A Scalable Distributed Training Framework for Generative Adversarial Networks. SoCC Ziji Shi, Jialin Li, Yang You
2024	J	`jnl`	Prioritize Alignment in Dataset Distillation. CoRR Zekai Li, Ziyao Guo, Wangbo Zhao, Tianle Zhang, Zhi-Qi Cheng, Samir Khaki, Kaipeng Zhang, Ahmad Sajedi, Konstantinos N. Plataniotis, Kai Wang, Yang You
2024	J	`jnl`	RAP: Retrieval-Augmented Planning with Contextual Memory for Multimodal LLM Agents. CoRR Tomoyuki Kagaya, Thong Jing Yuan, Yuxuan Lou, Jayashree Karlekar, Sugiri Pranata, Akira Kinose, Koki Oguri, Felix Wick, Yang You
2024	J	`jnl`	Real-Time Video Generation with Pyramid Attention Broadcast. CoRR Xuanlei Zhao, Xiaolong Jin, Kai Wang, Yang You
2024	A*	`conf`	Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality. NeurIPS Tianle Zhang, Langtian Ma, Yuchen Yan, Yuchen Zhang, Yue Yang, Ziyao Guo, Wenqi Shao, Kai Wang, Yang You, Yu Qiao, Ping Luo, Kaipeng Zhang
2024	J	`jnl`	Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality. CoRR Tianle Zhang, Langtian Ma, Yuchen Yan, Yuchen Zhang, Kai Wang, Yue Yang, Ziyao Guo, Wenqi Shao, Yang You, Yu Qiao, Ping Luo, Kaipeng Zhang
2024	J	`jnl`	Scalable Evidential K-Nearest Neighbor Classification on Big Data. IEEE Trans. Big Data Chaoyu Gong, Jim Demmel, Yang You
2024	J	`jnl`	Self-filling evidential clustering for partial multi-view data. Expert Syst. Appl. Chaoyu Gong, Yang You
2024	C	`conf`	Single Domain Generalization For Scene Classification Using Style-Oriented Data Augmentation. IGARSS Yi Zhao, Guancong Lin, Juepeng Zheng, Yang You, Haohuan Fu
2024	J	`jnl`	Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning. CoRR Yong Liu, Zirui Zhu, Chaoyu Gong, Minhao Cheng, Cho-Jui Hsieh, Yang You
2024	J	`jnl`	Sparse Reconstructive Evidential Clustering for Multi-View Data. IEEE CAA J. Autom. Sinica Chaoyu Gong, Yang You
2024	A*	`conf`	Summarizing Stream Data for Memory-Constrained Online Continual Learning. AAAI Jianyang Gu, Kai Wang, Wei Jiang, Yang You
2024	A*	`conf`	The Snowflake Hypothesis: Training and Powering GNN with One Node One Receptive Field. KDD Kun Wang, Guohao Li, Shilong Wang, Guibin Zhang, Kai Wang, Yang You, Junfeng Fang, Xiaojiang Peng, Yuxuan Liang, Yang Wang
2024	A*	`conf`	Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching. ICLR Ziyao Guo, Kai Wang, George Cazenavette, Hui Li, Kaipeng Zhang, Yang You
2024	J	`jnl`	Two Trades is not Baffled: Condensing Graph via Crafting Rational Gradient Matching. CoRR Tianle Zhang, Yuchen Zhang, Kun Wang, Kai Wang, Beining Yang, Kaipeng Zhang, Wenqi Shao, Ping Liu, Joey Tianyi Zhou, Yang You
2024	J	`jnl`	Visual Perception in Text Strings. CoRR Qi Jia, Xiang Yue, Shanshan Huang, Ziheng Qin, Yizhu Liu, Bill Yuchen Lin, Yang You
2024	J	`jnl`	WallFacer: Guiding Transformer Model Training Out of the Long-Context Dark Forest with N-body Problem. CoRR Ziming Liu, Shaoyu Wang, Shenggan Cheng, Zhongkai Zhao, Xuanlei Zhao, James Demmel, Yang You
2023	J	`jnl`	A Sparse Reconstructive Evidential K-Nearest Neighbor Classifier for High-Dimensional Data. IEEE Trans. Knowl. Data Eng. Chaoyu Gong, Zhi-gang Su, Pei-hong Wang, Qian Wang, Yang You
2023	A*	`conf`	A Study on Transformer Configuration and Training Objective. ICML Fuzhao Xue, Jianghai Chen, Aixin Sun, Xiaozhe Ren, Zangwei Zheng, Xiaoxin He, Yongming Chen, Xin Jiang, Yang You
2023	J	`jnl`	ATP: Adaptive Tensor Parallelism for Foundation Models. CoRR Shenggan Cheng, Ziming Liu, Jiangsu Du, Yang You
2023	A*	`conf`	Adaptive Computation with Elastic Input Sequence. ICML Fuzhao Xue, Valerii Likhosherstov, Anurag Arnab, Neil Houlsby, Mostafa Dehghani, Yang You
2023	J	`jnl`	Adaptive Computation with Elastic Input Sequence. CoRR Fuzhao Xue, Valerii Likhosherstov, Anurag Arnab, Neil Houlsby, Mostafa Dehghani, Yang You
2023	J	`jnl`	Adaptive evidential Inf. Sci. Chaoyu Gong, Zhi-gang Su, Xinyi Zhang, Yang You
2023	A	`conf`	An Efficient 2D Method for Training Super-Large Deep Learning Models. IPDPS Qifan Xu, Yang You
2023	A*	`conf`	BiCro: Noisy Correspondence Rectification for Multi-modality Data via Bi-directional Cross-modal Similarity Consistency. CVPR Shuo Yang, Zhaopan Xu, Kai Wang, Yang You, Hongxun Yao, Tongliang Liu, Min Xu
2023	J	`jnl`	BiCro: Noisy Correspondence Rectification for Multi-modality Data via Bi-directional Cross-modal Similarity Consistency. CoRR Shuo Yang, Zhaopan Xu, Kai Wang, Yang You, Hongxun Yao, Tongliang Liu, Min Xu
2023	J	`jnl`	Boosting Unsupervised Contrastive Learning Using Diffusion-Based Data Augmentation From Scratch. CoRR Zelin Zang, Hao Luo, Kai Wang, Panpan Zhang, Fan Wang, Stan Z. Li, Yang You
2023	—	`conf`	CAME: Confidence-guided Adaptive Memory Efficient Optimization. ACL (1) Yang Luo, Xiaozhe Ren, Zangwei Zheng, Zhuo Jiang, Xin Jiang, Yang You
2023	J	`jnl`	CAME: Confidence-guided Adaptive Memory Efficient Optimization. CoRR Yang Luo, Xiaozhe Ren, Zangwei Zheng, Zhuo Jiang, Xin Jiang, Yang You
2023	J	`jnl`	Can pre-trained models assist in dataset distillation? CoRR Yao Lu, Xuguang Chen, Yuchen Zhang, Jianyang Gu, Tianle Zhang, Yifan Zhang, Xiaoniu Yang, Qi Xuan, Kai Wang, Yang You
2023	J	`jnl`	Color Prompting for Data-Free Continual Unsupervised Domain Adaptive Person Re-Identification. CoRR Jianyang Gu, Hao Luo, Kai Wang, Wei Jiang, Yang You, Jian Zhao
2023	B	`conf`	Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training. ICPP Shenggui Li, Hongxin Liu, Zhengda Bian, Jiarui Fang, Haichen Huang, Yuliang Liu, Boxiang Wang, Yang You
2023	J	`jnl`	Colossal-Auto: Unified Automation of Parallelization and Activation Checkpoint for Large-scale Models. CoRR Yuliang Liu, Shenggui Li, Jiarui Fang, Yanjun Shao, Boyuan Yao, Yang You
2023	A*	`conf`	CowClip: Reducing CTR Prediction Model Training Time from 12 Hours to 10 Minutes on 1 GPU. AAAI 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
2023	J	`jnl`	DREAM+: Efficient Dataset Distillation by Bidirectional Representative Matching. CoRR Yanqing Liu, Jianyang Gu, Kai Wang, Zheng Zhu, Kaipeng Zhang, Wei Jiang, Yang You
2023	A*	`conf`	DREAM: Efficient Dataset Distillation by Representative Matching. ICCV Yanqing Liu, Jianyang Gu, Kai Wang, Zheng Zhu, Wei Jiang, Yang You
2023	J	`jnl`	DREAM: Efficient Dataset Distillation by Representative Matching. CoRR Yanqing Liu, Jianyang Gu, Kai Wang, Zheng Zhu, Wei Jiang, Yang You
2023	A*	`conf`	Dataset Quantization. ICCV Daquan Zhou, Kai Wang, Jianyang Gu, Xiangyu Peng, Dongze Lian, Yifan Zhang, Yang You, Jiashi Feng
2023	J	`jnl`	Dataset Quantization. CoRR Daquan Zhou, Kai Wang, Jianyang Gu, Xiangyu Peng, Dongze Lian, Yifan Zhang, Yang You, Jiashi Feng
2023	J	`jnl`	DiM: Distilling Dataset into Generative Model. CoRR Kai Wang, Jianyang Gu, Daquan Zhou, Zheng Zhu, Wei Jiang, Yang You
2023	A*	`conf`	Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors. ICLR Jianfei Yang, Xiangyu Peng, Kai Wang, Zheng Zhu, Jiashi Feng, Lihua Xie, Yang You
2023	A*	`conf`	Does Graph Distillation See Like Vision Dataset Counterpart? NeurIPS Beining Yang, Kai Wang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Hao Tang, Yang You, Jianxin Li
2023	J	`jnl`	Does Graph Distillation See Like Vision Dataset Counterpart? CoRR Beining Yang, Kai Wang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Hao Tang, Yang You, Jianxin Li
2023	J	`jnl`	Efficient Dataset Distillation via Minimax Diffusion. CoRR Jianyang Gu, Saeed Vahidian, Vyacheslav Kungurtsev, Haonan Wang, Wei Jiang, Yang You, Yiran Chen
2023	A*	`conf`	GPTR: Gestalt-Perception Transformer for Diagram Object Detection. AAAI Xin Hu, Lingling Zhang, Jun Liu, Jinfu Fan, Yang You, Yaqiang Wu
2023	A	`conf`	Hanayo: Harnessing Wave-like Pipeline Parallelism for Enhanced Large Model Training Efficiency. SC Ziming Liu, Shenggan Cheng, Haotian Zhou, Yang You
2023	J	`jnl`	Hanayo: Harnessing Wave-like Pipeline Parallelism for Enhanced Large Model Training Efficiency. CoRR Ziming Liu, Shenggan Cheng, Haotian Zhou, Yang You
2023	—	`conf`	Hierarchical Dialogue Understanding with Special Tokens and Turn-level Attention. Tiny Papers @ ICLR Xiao Liu, Jian Zhang, Heng Zhang, Fuzhao Xue, Yang You
2023	J	`jnl`	Hierarchical Dialogue Understanding with Special Tokens and Turn-level Attention. CoRR Xiao Liu, Jian Zhang, Heng Zhang, Fuzhao Xue, Yang You
2023	J	`jnl`	InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning. CoRR Ziheng Qin, Kai Wang, Zangwei Zheng, Jianyang Gu, Xiangyu Peng, Daquan Zhou, Yang You
2023	J	`jnl`	Learning Referring Video Object Segmentation from Weak Annotation. CoRR Wangbo Zhao, Kepan Nan, Songyang Zhang, Kai Chen, Dahua Lin, Yang You
2023	J	`jnl`	Let's reward step by step: Step-Level reward model as the Navigators for Reasoning. CoRR Qianli Ma, Haotian Zhou, Tingkai Liu, Jianbo Yuan, Pengfei Liu, Yang You, Hongxia Yang
2023	J	`jnl`	LoBaSS: Gauging Learnability in Supervised Fine-tuning Data. CoRR Haotian Zhou, Tingkai Liu, Qianli Ma, Jianbo Yuan, Pengfei Liu, Yang You, Hongxia Yang
2023	J	`jnl`	MLLMs-Augmented Visual-Language Representation Learning. CoRR Yanqing Liu, Kai Wang, Wenqi Shao, Ping Luo, Yu Qiao, Mike Zheng Shou, Kaipeng Zhang, Yang You
2023	A*	`conf`	MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID. CVPR Jianyang Gu, Kai Wang, Hao Luo, Chen Chen, Wei Jiang, Yuqiang Fang, Shanghang Zhang, Yang You, Jian Zhao
2023	J	`jnl`	MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID. CoRR Jianyang Gu, Kai Wang, Hao Luo, Chen Chen, Wei Jiang, Yuqiang Fang, Shanghang Zhang, Yang You, Jian Zhao
2023	J	`jnl`	Multitask Learning for Visual Question Answering. IEEE Trans. Neural Networks Learn. Syst. Jie Ma, Jun Liu, Qika Lin, Bei Wu, Yaxian Wang, Yang You
2023	—	`conf`	One Student Knows All Experts Know: From Sparse to Dense. Tiny Papers @ ICLR Fuzhao Xue, Xiaoxin He, Xiaozhe Ren, Yuxuan Lou, Yang You
2023	J	`jnl`	Parallel Training of Pre-Trained Models via Chunk-Based Dynamic Memory Management. IEEE Trans. Parallel Distributed Syst. Jiarui Fang, Zilin Zhu, Shenggui Li, Hui Su, Yang Yu, Jie Zhou, Yang You
2023	A*	`conf`	Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models. ICCV Zangwei Zheng, Mingyuan Ma, Kai Wang, Ziheng Qin, Xiangyu Yue, Yang You
2023	J	`jnl`	Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models. CoRR Zangwei Zheng, Mingyuan Ma, Kai Wang, Ziheng Qin, Xiangyu Yue, Yang You
2023	A*	`conf`	Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline. NeurIPS Zangwei Zheng, Xiaozhe Ren, Fuzhao Xue, Yang Luo, Xin Jiang, Yang You
2023	J	`jnl`	Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline. CoRR Zangwei Zheng, Xiaozhe Ren, Fuzhao Xue, Yang Luo, Xin Jiang, Yang You
2023	—	`conf`	Sequence Parallelism: Long Sequence Training from System Perspective. ACL (1) Shenggui Li, Fuzhao Xue, Chaitanya Baranwal, Yongbin Li, Yang You
2023	J	`jnl`	Summarizing Stream Data for Memory-Restricted Online Continual Learning. CoRR Jianyang Gu, Kai Wang, Wei Jiang, Yang You
2023	J	`jnl`	The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field. CoRR Kun Wang, Guohao Li, Shilong Wang, Guibin Zhang, Kai Wang, Yang You, Xiaojiang Peng, Yuxuan Liang, Yang Wang
2023	A*	`conf`	To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis. NeurIPS Fuzhao Xue, Yao Fu, Wangchunshu Zhou, Zangwei Zheng, Yang You
2023	J	`jnl`	To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis. CoRR Fuzhao Xue, Yao Fu, Wangchunshu Zhou, Zangwei Zheng, Yang You
2023	J	`jnl`	Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching. CoRR Ziyao Guo, Kai Wang, George Cazenavette, Hui Li, Kaipeng Zhang, Yang You
2022	J	`jnl`	A Frequency-aware Software Cache for Large Recommendation System Embeddings. CoRR Jiarui Fang, Geng Zhang, Jiatong Han, Shenggui Li, Zhengda Bian, Yongbin Li, Jin Liu, Yang You
2022	A*	`conf`	An Efficient Training Approach for Very Large Scale Face Recognition. CVPR Kai Wang, Shuo Wang, Panpan Zhang, Zhipeng Zhou, Zheng Zhu, Xiaobo Wang, Xiaojiang Peng, Baigui Sun, Hao Li, Yang You
2022	A*	`conf`	CAFE: Learning to Condense Dataset by Aligning Features. CVPR Kai Wang, Bo Zhao, Xiangyu Peng, Zheng Zhu, Shuo Yang, Shuo Wang, Guan Huang, Hakan Bilen, Xinchao Wang, Yang You
2022	J	`jnl`	CAFE: Learning to Condense Dataset by Aligning Features. CoRR Kai Wang, Bo Zhao, Xiangyu Peng, Zheng Zhu, Shuo Yang, Shuo Wang, Guan Huang, Hakan Bilen, Xinchao Wang, Yang You
2022	A*	`conf`	Concurrent Adversarial Learning for Large-Batch Training. ICLR Yong Liu, Xiangning Chen, Minhao Cheng, Cho-Jui Hsieh, Yang You
2022	J	`jnl`	CowClip: Reducing CTR Prediction Model Training Time from 12 hours to 10 minutes on 1 GPU. CoRR 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
2022	A*	`conf`	Crafting Better Contrastive Views for Siamese Representation Learning. CVPR Xiangyu Peng, Kai Wang, Zheng Zhu, Mang Wang, Yang You
2022	J	`jnl`	Crafting Better Contrastive Views for Siamese Representation Learning. CoRR Xiangyu Peng, Kai Wang, Zheng Zhu, Yang You
2022	J	`jnl`	Deeper vs Wider: A Revisit of Transformer Configuration. CoRR Fuzhao Xue, Jianghai Chen, Aixin Sun, Xiaozhe Ren, Zangwei Zheng, Xiaoxin He, Xin Jiang, Yang You
2022	—	`conf`	Distributed EK-NN Classification. BELIEF Chaoyu Gong, Zhi-gang Su, Qian Wang, Yang You
2022	J	`jnl`	Distributed evidential clustering toward time series with big data issue. Expert Syst. Appl. Chaoyu Gong, Zhi-gang Su, Pei-hong Wang, Yang You
2022	J	`jnl`	Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors. CoRR Jianfei Yang, Xiangyu Peng, Kai Wang, Zheng Zhu, Jiashi Feng, Lihua Xie, Yang You
2022	J	`jnl`	Elixir: Train a Large Language Model on a Small GPU Cluster. CoRR Haichen Huang, Jiarui Fang, Hongxin Liu, Shenggui Li, Yang You
2022	J	`jnl`	EnergonAI: An Inference System for 10-100 Billion Parameter Transformer Models. CoRR Jiangsu Du, Ziming Liu, Jiarui Fang, Shenggui Li, Yongbin Li, Yutong Lu, Yang You
2022	J	`jnl`	FaceMAE: Privacy-Preserving Face Recognition via Masked Autoencoders. CoRR Kai Wang, Bo Zhao, Xiangyu Peng, Zheng Zhu, Jiankang Deng, Xinchao Wang, Hakan Bilen, Yang You
2022	J	`jnl`	FastFold: Reducing AlphaFold Training Time from 11 Days to 67 Hours. CoRR Shenggan Cheng, Ruidong Wu, Zhongming Yu, Bin-Rui Li, Xiwen Zhang, Jian Peng, Yang You
2022	J	`jnl`	GPTR: Gestalt-Perception Transformer for Diagram Object Detection. CoRR Xin Hu, Lingling Zhang, Jun Liu, Jinfu Fan, Yang You, Yaqiang Wu
2022	A*	`conf`	Go Wider Instead of Deeper. AAAI Fuzhao Xue, Ziji Shi, Futao Wei, Yuxuan Lou, Yong Liu, Yang You
2022	A	`conf`	Handling heavy-tailed input of transformer inference on GPUs. ICS Jiangsu Du, Jiazhi Jiang, Yang You, Dan Huang, Yutong Lu
2022	A*	`conf`	Joint Evidential $K$-Nearest Neighbor Classification. ICDE Chaoyu Gong, Yongbin Li, Yong Liu, Pei-hong Wang, Yang You
2022	A*	`conf`	Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation. CVPR Wangbo Zhao, Kai Wang, Xiangxiang Chu, Fuzhao Xue, Xinchao Wang, Yang You
2022	J	`jnl`	Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation. CoRR Wangbo Zhao, Kai Wang, Xiangxiang Chu, Fuzhao Xue, Xinchao Wang, Yang You
2022	J	`jnl`	One Student Knows All Experts Know: From Sparse to Dense. CoRR Fuzhao Xue, Xiaoxin He, Xiaozhe Ren, Yuxuan Lou, Yang You
2022	J	`jnl`	Prompt Vision Transformer for Domain Generalization. CoRR Zangwei Zheng, Xiangyu Yue, Kai Wang, Yang You
2022	A*	`conf`	Random Sharpness-Aware Minimization. NeurIPS Yong Liu, Siqi Mai, Minhao Cheng, Xiangning Chen, Cho-Jui Hsieh, Yang You
2022	J	`jnl`	Reliable Label Correction is a Good Booster When Learning with Extremely Noisy Labels. CoRR Kai Wang, Xiangyu Peng, Shuo Yang, Jianfei Yang, Zheng Zhu, Xinchao Wang, Yang You
2022	A*	`conf`	Self-reconstructive evidential clustering for high-dimensional data. ICDE Chaoyu Gong, Yongbin Liu, Di Fu, Yong Liu, Pei-hong Wang, Yang You
2022	J	`jnl`	Sky Computing: Accelerating Geo-distributed Computing in Federated Learning. CoRR Jie Zhu, Shenggui Li, Yang You
2022	B	`conf`	Tesseract: Parallelize the Tensor Parallelism Efficiently. ICPP Boxiang Wang, Qifan Xu, Zhengda Bian, Yang You
2022	A*	`conf`	Towards Efficient and Scalable Sharpness-Aware Minimization. CVPR Yong Liu, Siqi Mai, Xiangning Chen, Cho-Jui Hsieh, Yang You
2022	J	`jnl`	Towards Efficient and Scalable Sharpness-Aware Minimization. CoRR Yong Liu, Siqi Mai, Xiangning Chen, Cho-Jui Hsieh, Yang You
2022	J	`jnl`	Weakly Supervised Learning for Textbook Question Answering. IEEE Trans. Image Process. Jie Ma, Qi Chai, Jingyue Huang, Jun Liu, Yang You, Qinghua Zheng
2021	J	`jnl`	2.5-dimensional distributed model training. CoRR Boxiang Wang, Qifan Xu, Zhengda Bian, Yang You
2021	J	`jnl`	An Efficient 2D Method for Training Super-Large Deep Learning Models. CoRR Qifan Xu, Shenggui Li, Chaoyu Gong, Yang You
2021	J	`jnl`	An Efficient Training Approach for Very Large Scale Face Recognition. CoRR Kai Wang, Shuo Wang, Zhipeng Zhou, Xiaobo Wang, Xiaojiang Peng, Baigui Sun, Hao Li, Yang You
2021	C	`conf`	Auto-Precision Scaling for Distributed Deep Learning. ISC Ruobing Han, James Demmel, Yang You
2021	J	`jnl`	Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training. CoRR Zhengda Bian, Hongxin Liu, Boxiang Wang, Haichen Huang, Yongbin Li, Chuanrui Wang, Fan Cui, Yang You
2021	J	`jnl`	Communication-avoiding kernel ridge regression on parallel and distributed systems. CCF Trans. High Perform. Comput. Yang You, Jingyue Huang, Cho-Jui Hsieh, Richard W. Vuduc, James Demmel
2021	J	`jnl`	Concurrent Adversarial Learning for Large-Batch Training. CoRR Yong Liu, Xiangning Chen, Minhao Cheng, Cho-Jui Hsieh, Yang You
2021	B	`conf`	Dynamic scaling for low-precision learning. PPoPP Ruobing Han, Min Si, James Demmel, Yang You
2021	J	`jnl`	Evidential instance selection for Int. J. Approx. Reason. Chaoyu Gong, Zhi-gang Su, Pei-hong Wang, Qian Wang, Yang You
2021	J	`jnl`	Go Wider Instead of Deeper. CoRR Fuzhao Xue, Ziji Shi, Futao Wei, Yuxuan Lou, Yong Liu, Yang You
2021	J	`jnl`	Large-Scale Deep Learning Optimizations: A Comprehensive Survey. CoRR Xiaoxin He, Fuzhao Xue, Xiaozhe Ren, Yang You
2021	—	`conf`	Mask Aware Network for Masked Face Recognition in the Wild. ICCVW Kai Wang, Shuo Wang, Jianfei Yang, Xiaobo Wang, Baigui Sun, Hao Li, Yang You
2021	J	`jnl`	Maximizing Parallelism in Distributed Training for Huge Neural Networks. CoRR Zhengda Bian, Qifan Xu, Boxiang Wang, Yang You
2021	J	`jnl`	Online Evolutionary Batch Size Orchestration for Scheduling Deep Learning Workloads in GPU Clusters. CoRR Zhengda Bian, Shenggui Li, Wei Wang, Yang You
2021	A	`conf`	Online evolutionary batch size orchestration for scheduling deep learning workloads in GPU clusters. SC Zhengda Bian, Shenggui Li, Wei Wang, Yang You
2021	J	`jnl`	PatrickStar: Parallel Training of Pre-trained Models via a Chunk-based Memory Management. CoRR Jiarui Fang, Yang Yu, Shenggui Li, Yang You, Jie Zhou
2021	J	`jnl`	Sequence Parallelism: Making 4D Parallelism Possible. CoRR Shenggui Li, Fuzhao Xue, Yongbin Li, Yang You
2021	J	`jnl`	Sparse-MLP: A Fully-MLP Architecture with Conditional Computation. CoRR Yuxuan Lou, Fuzhao Xue, Zangwei Zheng, Yang You
2021	—	`conf`	Training EfficientNets at Supercomputer Scale: 83% ImageNet Top-1 Accuracy in One Hour. IPDPS Workshops Arissa Wongpanich, Hieu Pham, James Demmel, Mingxing Tan, Quoc V. Le, Yang You, Sameer Kumar
2020	J	`jnl`	Fast LSTM by dynamic decomposition on cloud and distributed systems. Knowl. Inf. Syst. Yang You, Yuxiong He, Samyam Rajbhandari, Wenhan Wang, Cho-Jui Hsieh, Kurt Keutzer, James Demmel
2020	—	`—`	Fast and Accurate Machine Learning on Distributed Systems and Supercomputers Yang You
2020	J	`jnl`	How much progress have we made in neural network training? A New Evaluation Protocol for Benchmarking Optimizers. CoRR Yuanhao Xiong, Xuanqing Liu, Li-Cheng Lan, Yang You, Si Si, Cho-Jui Hsieh
2020	A*	`conf`	Large Batch Optimization for Deep Learning: Training BERT in 76 minutes. ICLR Yang You, Jing Li, Sashank J. Reddi, Jonathan Hseu, Sanjiv Kumar, Srinadh Bhojanapalli, Xiaodan Song, James Demmel, Kurt Keutzer, Cho-Jui Hsieh
2020	C	`conf`	Rethinking the Value of Asynchronous Solvers for Distributed Deep Learning. HPC Asia Arissa Wongpanich, Yang You, James Demmel
2020	J	`jnl`	The Limit of the Batch Size. CoRR Yang You, Yuhui Wang, Huan Zhang, Zhao Zhang, James Demmel, Cho-Jui Hsieh
2020	J	`jnl`	Training EfficientNets at Supercomputer Scale: 83% ImageNet Top-1 Accuracy in One Hour. CoRR Arissa Wongpanich, Hieu Pham, James Demmel, Mingxing Tan, Quoc V. Le, Yang You, Sameer Kumar
2019	J	`jnl`	Auto-Precision Scaling for Distributed Deep Learning. CoRR Ruobing Han, Yang You, James Demmel
2019	J	`jnl`	Fast Deep Neural Network Training on Distributed Systems and Cloud TPUs. IEEE Trans. Parallel Distributed Syst. Yang You, Zhao Zhang, Cho-Jui Hsieh, James Demmel, Kurt Keutzer
2019	A*	`conf`	Fast LSTM Inference by Dynamic Decomposition on Cloud Systems. ICDM Yang You, Yuxiong He, Samyam Rajbhandari, Wenhan Wang, Cho-Jui Hsieh, Kurt Keutzer, James Demmel
2019	J	`jnl`	Large-Batch Training for LSTM and Beyond. CoRR Yang You, Jonathan Hseu, Chris Ying, James Demmel, Kurt Keutzer, Cho-Jui Hsieh
2019	A	`conf`	Large-batch training for LSTM and beyond. SC Yang You, Jonathan Hseu, Chris Ying, James Demmel, Kurt Keutzer, Cho-Jui Hsieh
2019	J	`jnl`	Reducing BERT Pre-Training Time from 3 Days to 76 Minutes. CoRR Yang You, Jing Li, Jonathan Hseu, Xiaodan Song, James Demmel, Cho-Jui Hsieh
2018	A	`conf`	Accurate, Fast and Scalable Kernel Ridge Regression on Parallel and Distributed Systems. ICS Yang You, James Demmel, Cho-Jui Hsieh, Richard W. Vuduc
2018	J	`jnl`	Accurate, Fast and Scalable Kernel Ridge Regression on Parallel and Distributed Systems. CoRR Yang You, James Demmel, Cho-Jui Hsieh, Richard W. Vuduc
2018	B	`conf`	ImageNet Training in Minutes. ICPP Yang You, Zhao Zhang, Cho-Jui Hsieh, James Demmel, Kurt Keutzer
2017	J	`jnl`	100-epoch ImageNet Training with AlexNet in 24 Minutes. CoRR Yang You, Zhao Zhang, Cho-Jui Hsieh, James Demmel
2017	J	`jnl`	Design and Implementation of a Communication-Optimal Classifier for Distributed Kernel Support Vector Machines. IEEE Trans. Parallel Distributed Syst. Yang You, James Demmel, Kent Czechowski, Le Song, Rich Vuduc
2017	J	`jnl`	Designing and implementing a heuristic cross-architecture combination for graph traversal. J. Parallel Distributed Comput. Yang You, Haohuan Fu, David A. Bader, Guangwen Yang
2017	J	`jnl`	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. Weijia Li, Haohuan Fu, Yang You, Le Yu, Jiarui Fang
2017	B	`conf`	Runtime Data Layout Scheduling for Machine Learning Dataset. ICPP Yang You, James Demmel
2017	J	`jnl`	Scaling Deep Learning on GPU and Knights Landing clusters. CoRR Yang You, Aydin Buluç, James Demmel
2017	A	`conf`	Scaling deep learning on GPU and knights landing clusters. SC Yang You, Aydin Buluç, James Demmel
2016	—	`conf`	Asynchronous Parallel Greedy Coordinate Descent. NIPS Yang You, Xiangru Lian, Ji Liu, Hsiang-Fu Yu, Inderjit S. Dhillon, James Demmel, Cho-Jui Hsieh
2015	A	`conf`	CA-SVM: Communication-Avoiding Support Vector Machines on Distributed Systems. IPDPS Yang You, James Demmel, Kenneth Czechowski, Le Song, Richard W. Vuduc
2015	J	`jnl`	Scaling Support Vector Machines on modern HPC platforms. J. Parallel Distributed Comput. Yang You, Haohuan Fu, Shuaiwen Leon Song, Amanda Peters Randles, Darren J. Kerbyson, Andres Marquez, Guangwen Yang, Adolfy Hoisie
2014	A	`conf`	An adaptive cross-architecture combination method for graph traversal. ICS Yang You, Shuaiwen Leon Song, Darren J. Kerbyson
2014	B	`conf`	Designing a Heuristic Cross-Architecture Combination for Breadth-First Search. ICPP Yang You, David A. Bader, Maryam Mehri Dehnavi
2014	J	`jnl`	Evaluating multi-core and many-core architectures through accelerating the three-dimensional Lax-Wendroff correction stencil. Int. J. High Perform. Comput. Appl. Yang You, Haohuan Fu, Shuaiwen Leon Song, Maryam Mehri Dehnavi, Lin Gan, Xiaomeng Huang, Guangwen Yang
2014	A	`conf`	MIC-SVM: Designing a Highly Efficient Support Vector Machine for Advanced Modern Multi-core and Many-Core Architectures. IPDPS Yang You, Shuaiwen Leon Song, Haohuan Fu, Andres Marquez, Maryam Mehri Dehnavi, Kevin J. Barker, Kirk W. Cameron, Amanda Peters Randles, Guangwen Yang
2014	B	`conf`	Scaling and analyzing the stencil performance on multi-core and many-core architectures. ICPADS Lin Gan, Haohuan Fu, Wei Xue, Yangtong Xu, Chao Yang, Xinliang Wang, Zihong Lv, Yang You, Guangwen Yang, Kaijian Ou
2013	—	`conf`	Accelerating the 3D Elastic Wave Forward Modeling on GPU and MIC. IPDPS Workshops Yang You, Haohuan Fu, Xiaomeng Huang, Guojie Song, Lin Gan, Wenjian Yu, Guangwen Yang