Dianhai Yu

According to our database, Dianhai Yu authored at least 56 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Exploiting Cross-Modal Prediction and Relation Consistency for Semisupervised Image Captioning.

Yang Yang, Hongchen Wei, Hengshu Zhu, Dianhai Yu, Hui Xiong, Jian Yang

IEEE Trans. Cybern., February, 2024

MoESys: A Distributed and Efficient Mixture-of-Experts Training and Inference System for Internet Services.

Dianhai Yu, Liang Shen, Hongxiang Hao, Weibao Gong, HuaChao Wu, Jiang Bian, Lirong Dai, Haoyi Xiong

IEEE Trans. Serv. Comput., 2024

FlashMask: Efficient and Rich Mask Extension of FlashAttention.

Guoxia Wang, Jinle Zeng, Xiyuan Xiao, Siming Wu, Jiabin Yang, Lujing Zheng, Zeyu Chen, Jiang Bian, Dianhai Yu, Haifeng Wang

CoRR, 2024

NACL: A General and Effective KV Cache Eviction Framework for LLMs at Inference Time.

Yilong Chen, Guoxia Wang, Junyuan Shang, Shiyao Cui, Zhenyu Zhang, Tingwen Liu, Shuohuan Wang, Yu Sun, Dianhai Yu, Hua Wu

CoRR, 2024

A Framework for Cost-Effective and Self-Adaptive LLM Shaking and Recovery Mechanism.

Zhiyu Chen, Yu Li, Suochao Zhang, Jingbo Zhou, Jiwen Zhou, Chenfu Bao, Dianhai Yu

CoRR, 2024

Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials.

Mingguo He, Zhewei Wei, Shikun Feng, Zhengjie Huang, Weibin Li, Yu Sun, Dianhai Yu

Proceedings of the ACM on Web Conference 2024, 2024

NACL: A General and Effective KV Cache Eviction Framework for LLM at Inference Time.

Yilong Chen, Guoxia Wang, Junyuan Shang, Shiyao Cui, Zhenyu Zhang, Tingwen Liu, Shuohuan Wang, Yu Sun, Dianhai Yu, Hua Wu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

HeterPS: Distributed deep learning with reinforcement learning based scheduling in heterogeneous environments.

Ji Liu, Zhihua Wu, Danlei Feng, Minxu Zhang, Xinxuan Wu, Xuefeng Yao, Dianhai Yu, Yanjun Ma, Feng Zhao, Dejing Dou

Future Gener. Comput. Syst., November, 2023

Attribute-driven streaming edge partitioning with reconciliations for distributed graph neural network training.

Zongshen Mu, Siliang Tang, Yueting Zhuang, Dianhai Yu

Neural Networks, August, 2023

Graph neural networks meet with distributed graph partitioners and reconciliations.

Zongshen Mu, Siliang Tang, Chang Zong, Dianhai Yu, Yueting Zhuang

Neurocomputing, 2023

Large-scale knowledge distillation with elastic heterogeneous computing resources.

Ji Liu, Daxiang Dong, Xi Wang, An Qin, Xingjian Li, Patrick Valduriez, Dejing Dou, Dianhai Yu

Concurr. Comput. Pract. Exp., 2023

Label Information Enhanced Fraud Detection against Low Homophily in Graphs.

Yuchen Wang, Jinghui Zhang, Zhengjie Huang, Weibin Li, Shikun Feng, Ziheng Ma, Yu Sun, Dianhai Yu, Fang Dong, Jiahui Jin, Beilun Wang, Junzhou Luo

Proceedings of the ACM Web Conference 2023, 2023

PGLBox: Multi-GPU Graph Learning Framework for Web-Scale Recommendation.

Xuewu Jiao, Weibin Li, Xinxuan Wu, Wei Hu, Miao Li, Jiang Bian, Siming Dai, Xinsheng Luo, Mingqing Hu, Zhengjie Huang, Danlei Feng, Junchao Yang, Shikun Feng, Haoyi Xiong, Dianhai Yu, Shuanglong Li, Jingzhou He, Yanjun Ma, Lin Liu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

PP-YOLOE-R: An Efficient Anchor-Free Rotated Object Detector.

Xinxin Wang, Guanzhong Wang, Qingqing Dang, Yi Liu, Xiaoguang Hu, Dianhai Yu

CoRR, 2022

Efficient AlphaFold2 Training using Parallel Evoformer and Branch Parallelism.

Guoxia Wang, Zhihua Wu, Xiaomin Fang, Yingfei Xiang, Yiqun Liu, Dianhai Yu, Yanjun Ma

CoRR, 2022

PP-StructureV2: A Stronger Document Analysis System.

Chenxia Li, Ruoyu Guo, Jun Zhou, Mengtao An, Yuning Du, Lingfeng Zhu, Yi Liu, Xiaoguang Hu, Dianhai Yu

CoRR, 2022

ERNIE-mmLayout: Multi-grained MultiModal Transformer for Document Understanding.

Wenjin Wang, Zhengjie Huang, Bin Luo, Qianglong Chen, Qiming Peng, Yinxu Pan, Weichong Yin, Shikun Feng, Yu Sun, Dianhai Yu, Yin Zhang

CoRR, 2022

Boosting Distributed Training Performance of the Unpadded BERT Model.

Jinle Zeng, Min Li, Zhihua Wu, Jiaqi Liu, Yuang Liu, Dianhai Yu, Yanjun Ma

CoRR, 2022

HelixFold: An Efficient Implementation of AlphaFold2 using PaddlePaddle.

Guoxia Wang, Xiaomin Fang, Zhihua Wu, Yiqun Liu, Yang Xue, Yingfei Xiang, Dianhai Yu, Fan Wang, Yanjun Ma

CoRR, 2022

PP-OCRv3: More Attempts for the Improvement of Ultra Lightweight OCR System.

Chenxia Li, Weiwei Liu, Ruoyu Guo, Xiaoting Yin, Kaitao Jiang, Yongkun Du, Yuning Du, Lingfeng Zhu, Baohua Lai, Xiaoguang Hu, Dianhai Yu, Yanjun Ma

CoRR, 2022

PaddleSpeech: An Easy-to-Use All-in-One Speech Toolkit.

Hui Zhang, Tian Yuan, Junkun Chen, Xintong Li, Renjie Zheng, Yuxin Huang, Xiaojie Chen, Enlei Gong, Zeyu Chen, Xiaoguang Hu, Dianhai Yu, Yanjun Ma, Liang Huang

CoRR, 2022

SE-MoE: A Scalable and Efficient Mixture-of-Experts Distributed Training and Inference System.

Liang Shen, Zhihua Wu, Weibao Gong, Hongxiang Hao, Yangfan Bai, HuaChao Wu, Xinxuan Wu, Haoyi Xiong, Dianhai Yu, Yanjun Ma

CoRR, 2022

Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters.

Yang Xiang, Zhihua Wu, Weibao Gong, Siyu Ding, Xianjie Mo, Yuang Liu, Shuohuan Wang, Peng Liu, Yongshuai Hou, Long Li, Bin Wang, Shaohuai Shi, Yaqian Han, Yue Yu, Ge Li, Yu Sun, Yanjun Ma, Dianhai Yu

CoRR, 2022

PP-Matting: High-Accuracy Natural Image Matting.

Guowei Chen, Yi Liu, Jian Wang, Juncai Peng, Yuying Hao, Lutao Chu, Shiyu Tang, Zewu Wu, Zeyu Chen, Zhiliang Yu, Yuning Du, Qingqing Dang, Xiaoguang Hu, Dianhai Yu

CoRR, 2022

PP-LiteSeg: A Superior Real-Time Semantic Segmentation Model.

Juncai Peng, Yi Liu, Shiyu Tang, Yuying Hao, Lutao Chu, Guowei Chen, Zewu Wu, Zeyu Chen, Zhiliang Yu, Yuning Du, Qingqing Dang, Baohua Lai, Qiwen Liu, Xiaoguang Hu, Dianhai Yu, Yanjun Ma

CoRR, 2022

TA-MoE: Topology-Aware Large Scale Mixture-of-Expert Training.

Chang Chen, Min Li, Zhihua Wu, Dianhai Yu, Chao Yang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

mmLayout: Multi-grained MultiModal Transformer for Document Understanding.

Wenjin Wang, Zhengjie Huang, Bin Luo, Qianglong Chen, Qiming Peng, Yinxu Pan, Weichong Yin, Shikun Feng, Yu Sun, Dianhai Yu, Yin Zhang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Simple and Effective Relation-based Embedding Propagation for Knowledge Representation Learning.

Huijuan Wang, Siming Dai, Weiyue Su, Hui Zhong, Zeyang Fang, Zhengjie Huang, Shikun Feng, Zeyu Chen, Yu Sun, Dianhai Yu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and Generation.

Shuohuan Wang, Yu Sun, Yang Xiang, Zhihua Wu, Siyu Ding, Weibao Gong, Shikun Feng, Junyuan Shang, Yanbin Zhao, Chao Pang, Jiaxiang Liu, Xuyi Chen, Yuxiang Lu, Weixin Liu, Xi Wang, Yangfan Bai, Qiuliang Chen, Li Zhao, Shiyong Li, Peng Sun, Dianhai Yu, Yanjun Ma, Hao Tian, Hua Wu, Tian Wu, Wei Zeng, Ge Li, Wen Gao, Haifeng Wang

CoRR, 2021

End-to-end Adaptive Distributed Training on PaddlePaddle.

Yulong Ao, Zhihua Wu, Dianhai Yu, Weibao Gong, Zhiqing Kui, Minxu Zhang, Zilingfeng Ye, Liang Shen, Yanjun Ma, Tian Wu, Haifeng Wang, Wei Zeng, Chao Yang

CoRR, 2021

HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous Environments.

Ji Liu, Zhihua Wu, Dianhai Yu, Yanjun Ma, Danlei Feng, Minxu Zhang, Xinxuan Wu, Xuefeng Yao, Dejing Dou

CoRR, 2021

PP-PicoDet: A Better Real-Time Object Detector on Mobile Devices.

Guanghua Yu, Qinyao Chang, Wenyu Lv, Chang Xu, Cheng Cui, Wei Ji, Qingqing Dang, Kaipeng Deng, Guanzhong Wang, Yuning Du, Baohua Lai, Qiwen Liu, Xiaoguang Hu, Dianhai Yu, Yanjun Ma

CoRR, 2021

PP-ShiTu: A Practical Lightweight Image Recognition System.

Shengyu Wei, Ruoyu Guo, Cheng Cui, Bin Lu, Shuilong Dong, Tingquan Gao, Yuning Du, Ying Zhou, Xueying Lyu, Qiwen Liu, Xiaoguang Hu, Dianhai Yu, Yanjun Ma

CoRR, 2021

Exploiting Cross-Modal Prediction and Relation Consistency for Semi-Supervised Image Captioning.

Yang Yang, Hongchen Wei, Hengshu Zhu, Dianhai Yu, Hui Xiong, Jian Yang

CoRR, 2021

PP-LCNet: A Lightweight CPU Convolutional Neural Network.

Cheng Cui, Tingquan Gao, Shengyu Wei, Yuning Du, Ruoyu Guo, Shuilong Dong, Bin Lu, Ying Zhou, Xueying Lv, Qiwen Liu, Xiaoguang Hu, Dianhai Yu, Yanjun Ma

CoRR, 2021

PP-OCRv2: Bag of Tricks for Ultra Lightweight OCR System.

Yuning Du, Chenxia Li, Ruoyu Guo, Cheng Cui, Weiwei Liu, Jun Zhou, Bin Lu, Yehua Yang, Qiwen Liu, Xiaoguang Hu, Dianhai Yu, Yanjun Ma

CoRR, 2021

ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation.

Yu Sun, Shuohuan Wang, Shikun Feng, Siyu Ding, Chao Pang, Junyuan Shang, Jiaxiang Liu, Xuyi Chen, Yanbin Zhao, Yuxiang Lu, Weixin Liu, Zhihua Wu, Weibao Gong, Jianzhong Liang, Zhizhou Shang, Peng Sun, Wei Liu, Xuan Ouyang, Dianhai Yu, Hao Tian, Hua Wu, Haifeng Wang

CoRR, 2021

PP-YOLOv2: A Practical Object Detector.

Xin Huang, Xinxin Wang, Wenyu Lv, Xiaying Bai, Xiang Long, Kaipeng Deng, Qingqing Dang, Shumin Han, Qiwen Liu, Xiaoguang Hu, Dianhai Yu, Yanjun Ma, Osamu Yoshie

CoRR, 2021

Beyond Self-Supervision: A Simple Yet Effective Network Distillation Alternative to Improve Backbones.

Cheng Cui, Ruoyu Guo, Yuning Du, Dongliang He, Fu Li, Zewu Wu, Qiwen Liu, Shilei Wen, Jizhou Huang, Xiaoguang Hu, Dianhai Yu, Errui Ding, Yanjun Ma

CoRR, 2021

Rethinking Label-Wise Cross-Modal Retrieval from A Semantic Sharing Perspective.

Yang Yang, Chubing Zhang, Yi-Chu Xu, Dianhai Yu, De-Chuan Zhan, Jian Yang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Elastic Deep Learning Using Knowledge Distillation with Heterogeneous Computing Resources.

Daxiang Dong, Ji Liu, Xi Wang, Weibao Gong, An Qin, Xingjian Li, Dianhai Yu, Patrick Valduriez, Dejing Dou

Proceedings of the Euro-Par 2021: Parallel Processing Workshops, 2021

2020

Distilling Knowledge from Pre-trained Language Models via Text Smoothing.

Xing Wu, Yibing Liu, Xiangyang Zhou, Dianhai Yu

CoRR, 2020

2019

How to Evaluate the Next System: Automatic Dialogue Evaluation from the Perspective of Continual Learning.

Lu Li, Zhongheng He, Xiangyang Zhou, Dianhai Yu

CoRR, 2019

RLTM: An Efficient Neural IR Framework for Long Documents.

Chen Zheng, Yu Sun, Shengxian Wan, Dianhai Yu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

A New Method of Region Embedding for Text Classification.

Chao Qiao, Bo Huang, Guocheng Niu, Daren Li, Daxiang Dong, Wei He, Dianhai Yu, Hua Wu

Proceedings of the 6th International Conference on Learning Representations, 2018

Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network.

Xiangyang Zhou, Lu Li, Daxiang Dong, Yi Liu, Ying Chen, Wayne Xin Zhao, Dianhai Yu, Hua Wu

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2016

Multi-view Response Selection for Human-Computer Conversation.

Xiangyang Zhou, Daxiang Dong, Hua Wu, Shiqi Zhao, Dianhai Yu, Hao Tian, Xuan Liu, Rui Yan

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015

Multi-Task Learning for Multiple Language Translation.

Daxiang Dong, Hua Wu, Wei He, Dianhai Yu, Haifeng Wang

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

Improve Statistical Machine Translation with Context-Sensitive Bilingual Semantic Embedding Model.

Haiyang Wu, Daxiang Dong, Xiaoguang Hu, Dianhai Yu, Wei He, Hua Wu, Haifeng Wang, Ting Liu

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013

Compound Embedding Features for Semi-supervised Learning.

Mo Yu, Tiejun Zhao, Daxiang Dong, Hao Tian, Dianhai Yu

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Generalization of Words for Chinese Dependency Parsing.

Xianchao Wu, Jie Zhou, Yu Sun, Zhanyi Liu, Dianhai Yu, Hua Wu, Haifeng Wang

Proceedings of The 13th International Conference on Parsing Technologies, 2013

Cross-lingual Projections between Languages from Different Families.

Mo Yu, Tiejun Zhao, Yalong Bai, Hao Tian, Dianhai Yu

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012

Enlister: baidu's recommender system for the biggest chinese Q&A website.

Qiwen Liu, Tianjian Chen, Jing Cai, Dianhai Yu

Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

2010

Distributed training for Conditional Random Fields.

Xiaojun Lin, Liang Zhao, Dianhai Yu, Xihong Wu

Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering, 2010

2008

An Improved CRF based Chinese Language Processing System for SIGHAN Bakeoff 2007.

Xihong Wu, Xiaojun Lin, Xinhao Wang, Chunyao Wu, Yaozhong Zhang, Dianhai Yu

Proceedings of the Third International Joint Conference on Natural Language Processing, 2008

2006

Chinese Word Segmentation with Maximum Entropy and N-gram Language Model.

Xinhao Wang, Xiaojun Lin, Dianhai Yu, Hao Tian, Xihong Wu

Proceedings of the Fifth Workshop on Chinese Language Processing, 2006