Dianhai Yu

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 50

Top Topics

Document Understanding

Top Venues

Publications

Yilong Chen, Guoxia Wang, Junyuan Shang, Shiyao Cui, Zhenyu Zhang, Tingwen Liu, Shuohuan Wang, Yu Sun, Dianhai Yu, Hua Wu
NACL: A General and Effective KV Cache Eviction Framework for LLM at Inference Time. ACL (1) (2024)
Mingguo He, Zhewei Wei, Shikun Feng, Zhengjie Huang, Weibin Li, Yu Sun, Dianhai Yu
Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials. WWW (2024)
Yang Yang, Hongchen Wei, Hengshu Zhu, Dianhai Yu, Hui Xiong, Jian Yang
Exploiting Cross-Modal Prediction and Relation Consistency for Semisupervised Image Captioning. IEEE Trans. Cybern. 54 (2) (2024)
Zhiyu Chen, Yu Li, Suochao Zhang, Jingbo Zhou, Jiwen Zhou, Chenfu Bao, Dianhai Yu
A Framework for Cost-Effective and Self-Adaptive LLM Shaking and Recovery Mechanism. CoRR (2024)
Yuchen Wang, Jinghui Zhang, Zhengjie Huang, Weibin Li, Shikun Feng, Ziheng Ma, Yu Sun, Dianhai Yu, Fang Dong, Jiahui Jin, Beilun Wang, Junzhou Luo
Label Information Enhanced Fraud Detection against Low Homophily in Graphs. CoRR (2023)
Ji Liu, Daxiang Dong, Xi Wang, An Qin, Xingjian Li, Patrick Valduriez, Dejing Dou, Dianhai Yu
Large-scale knowledge distillation with elastic heterogeneous computing resources. Concurr. Comput. Pract. Exp. 35 (26) (2023)
Yuchen Wang, Jinghui Zhang, Zhengjie Huang, Weibin Li, Shikun Feng, Ziheng Ma, Yu Sun, Dianhai Yu, Fang Dong, Jiahui Jin, Beilun Wang, Junzhou Luo
Label Information Enhanced Fraud Detection against Low Homophily in Graphs. WWW (2023)
Ji Liu, Zhihua Wu, Danlei Feng, Minxu Zhang, Xinxuan Wu, Xuefeng Yao, Dianhai Yu, Yanjun Ma, Feng Zhao, Dejing Dou
HeterPS: Distributed deep learning with reinforcement learning based scheduling in heterogeneous environments. Future Gener. Comput. Syst. 148 (2023)
Zongshen Mu, Siliang Tang, Yueting Zhuang, Dianhai Yu
Attribute-driven streaming edge partitioning with reconciliations for distributed graph neural network training. Neural Networks 165 (2023)
Mingguo He, Zhewei Wei, Shikun Feng, Zhengjie Huang, Weibin Li, Yu Sun, Dianhai Yu
Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials. CoRR (2023)
Zongshen Mu, Siliang Tang, Chang Zong, Dianhai Yu, Yueting Zhuang
Graph neural networks meet with distributed graph partitioners and reconciliations. Neurocomputing 518 (2023)
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
PGLBox: Multi-GPU Graph Learning Framework for Web-Scale Recommendation. KDD (2023)
Chang Chen, Min Li, Zhihua Wu, Dianhai Yu, Chao Yang
TA-MoE: Topology-Aware Large Scale Mixture-of-Expert Training. CoRR (2023)
Wenjin Wang, Zhengjie Huang, Bin Luo, Qianglong Chen, Qiming Peng, Yinxu Pan, Weichong Yin, Shikun Feng, Yu Sun, Dianhai Yu, Yin Zhang
ERNIE-mmLayout: Multi-grained MultiModal Transformer for Document Understanding. CoRR (2022)
Wenjin Wang, Zhengjie Huang, Bin Luo, Qianglong Chen, Qiming Peng, Yinxu Pan, Weichong Yin, Shikun Feng, Yu Sun, Dianhai Yu, Yin Zhang
mmLayout: Multi-grained MultiModal Transformer for Document Understanding. ACM Multimedia (2022)
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
PP-Matting: High-Accuracy Natural Image Matting. CoRR (2022)
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
PP-LiteSeg: A Superior Real-Time Semantic Segmentation Model. CoRR (2022)
Guoxia Wang, Xiaomin Fang, Zhihua Wu, Yiqun Liu, Yang Xue, Yingfei Xiang, Dianhai Yu, Fan Wang, Yanjun Ma
HelixFold: An Efficient Implementation of AlphaFold2 using PaddlePaddle. CoRR (2022)
Ji Liu, Daxiang Dong, Xi Wang, An Qin, Xingjian Li, Patrick Valduriez, Dejing Dou, Dianhai Yu
Large-scale Knowledge Distillation with Elastic Heterogeneous Computing Resources. CoRR (2022)
Jinle Zeng, Min Li, Zhihua Wu, Jiaqi Liu, Yuang Liu, Dianhai Yu, Yanjun Ma
Boosting Distributed Training Performance of the Unpadded BERT Model. CoRR (2022)
Guoxia Wang, Zhihua Wu, Xiaomin Fang, Yingfei Xiang, Yiqun Liu, Dianhai Yu, Yanjun Ma
Efficient AlphaFold2 Training using Parallel Evoformer and Branch Parallelism. CoRR (2022)
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
Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters. CoRR (2022)
Huijuan Wang, Siming Dai, Weiyue Su, Hui Zhong, Zeyang Fang, Zhengjie Huang, Shikun Feng, Zeyu Chen, Yu Sun, Dianhai Yu
Simple and Effective Relation-based Embedding Propagation for Knowledge Representation Learning. CoRR (2022)
Xinxin Wang, Guanzhong Wang, Qingqing Dang, Yi Liu, Xiaoguang Hu, Dianhai Yu
PP-YOLOE-R: An Efficient Anchor-Free Rotated Object Detector. CoRR (2022)
Chenxia Li, Ruoyu Guo, Jun Zhou, Mengtao An, Yuning Du, Lingfeng Zhu, Yi Liu, Xiaoguang Hu, Dianhai Yu
PP-StructureV2: A Stronger Document Analysis System. CoRR (2022)
Chenxia Li, Weiwei Liu, Ruoyu Guo, Xiaoting Yin, Kaitao Jiang, Yongkun Du, Yuning Du, Lingfeng Zhu, Baohua Lai, Xiaoguang Hu, Dianhai Yu, Yanjun Ma
PP-OCRv3: More Attempts for the Improvement of Ultra Lightweight OCR System. CoRR (2022)
Liang Shen, Zhihua Wu, Weibao Gong, Hongxiang Hao, Yangfan Bai, HuaChao Wu, Xinxuan Wu, Haoyi Xiong, Dianhai Yu, Yanjun Ma
SE-MoE: A Scalable and Efficient Mixture-of-Experts Distributed Training and Inference System. CoRR (2022)
Chang Chen, Min Li, Zhihua Wu, Dianhai Yu, Chao Yang
TA-MoE: Topology-Aware Large Scale Mixture-of-Expert Training. NeurIPS (2022)
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
PaddleSpeech: An Easy-to-Use All-in-One Speech Toolkit. CoRR (2022)
Huijuan Wang, Siming Dai, Weiyue Su, Hui Zhong, Zeyang Fang, Zhengjie Huang, Shikun Feng, Zeyu Chen, Yu Sun, Dianhai Yu
Simple and Effective Relation-based Embedding Propagation for Knowledge Representation Learning. IJCAI (2022)
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
PP-YOLOv2: A Practical Object Detector. CoRR (2021)
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
ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and Generation. CoRR (2021)
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
End-to-end Adaptive Distributed Training on PaddlePaddle. CoRR (2021)
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
PP-PicoDet: A Better Real-Time Object Detector on Mobile Devices. CoRR (2021)
Daxiang Dong, Ji Liu, Xi Wang, Weibao Gong, An Qin, Xingjian Li, Dianhai Yu, Patrick Valduriez, Dejing Dou
Elastic Deep Learning Using Knowledge Distillation with Heterogeneous Computing Resources. Euro-Par Workshops (2021)
Yang Yang, Chubing Zhang, Yi-Chu Xu, Dianhai Yu, De-Chuan Zhan, Jian Yang
Rethinking Label-Wise Cross-Modal Retrieval from A Semantic Sharing Perspective. IJCAI (2021)
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
PP-ShiTu: A Practical Lightweight Image Recognition System. CoRR (2021)
Yang Yang, Hongchen Wei, Hengshu Zhu, Dianhai Yu, Hui Xiong, Jian Yang
Exploiting Cross-Modal Prediction and Relation Consistency for Semi-Supervised Image Captioning. CoRR (2021)
Yuning Du, Chenxia Li, Ruoyu Guo, Cheng Cui, Weiwei Liu, Jun Zhou, Bin Lu, Yehua Yang, Qiwen Liu, Xiaoguang Hu, Dianhai Yu, Yanjun Ma
PP-OCRv2: Bag of Tricks for Ultra Lightweight OCR System. CoRR (2021)
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
ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation. CoRR (2021)
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
PP-LCNet: A Lightweight CPU Convolutional Neural Network. CoRR (2021)
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
Beyond Self-Supervision: A Simple Yet Effective Network Distillation Alternative to Improve Backbones. CoRR (2021)
Ji Liu, Zhihua Wu, Dianhai Yu, Yanjun Ma, Danlei Feng, Minxu Zhang, Xinxuan Wu, Xuefeng Yao, Dejing Dou
HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous Environments. CoRR (2021)
Xing Wu, Yibing Liu, Xiangyang Zhou, Dianhai Yu
Distilling Knowledge from Pre-trained Language Models via Text Smoothing. CoRR (2020)
Lu Li, Zhongheng He, Xiangyang Zhou, Dianhai Yu
How to Evaluate the Next System: Automatic Dialogue Evaluation from the Perspective of Continual Learning. CoRR (2019)
Chen Zheng, Yu Sun, Shengxian Wan, Dianhai Yu
RLTM: An Efficient Neural IR Framework for Long Documents. CoRR (2019)
Chen Zheng, Yu Sun, Shengxian Wan, Dianhai Yu
RLTM: An Efficient Neural IR Framework for Long Documents. IJCAI (2019)
Xiangyang Zhou, Lu Li, Daxiang Dong, Yi Liu, Ying Chen, Wayne Xin Zhao, Dianhai Yu, Hua Wu
Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network. ACL (1) (2018)
Chao Qiao, Bo Huang, Guocheng Niu, Daren Li, Daxiang Dong, Wei He, Dianhai Yu, Hua Wu
A New Method of Region Embedding for Text Classification. ICLR (Poster) (2018)
Xiangyang Zhou, Daxiang Dong, Hua Wu, Shiqi Zhao, Dianhai Yu, Hao Tian, Xuan Liu, Rui Yan
Multi-view Response Selection for Human-Computer Conversation. EMNLP (2016)
Daxiang Dong, Hua Wu, Wei He, Dianhai Yu, Haifeng Wang
Multi-Task Learning for Multiple Language Translation. ACL (1) (2015)
Haiyang Wu, Daxiang Dong, Xiaoguang Hu, Dianhai Yu, Wei He, Hua Wu, Haifeng Wang, Ting Liu
Improve Statistical Machine Translation with Context-Sensitive Bilingual Semantic Embedding Model. EMNLP (2014)
Mo Yu, Tiejun Zhao, Yalong Bai, Hao Tian, Dianhai Yu
Cross-lingual Projections between Languages from Different Families. ACL (2) (2013)
Xianchao Wu, Jie Zhou, Yu Sun, Zhanyi Liu, Dianhai Yu, Hua Wu, Haifeng Wang
Generalization of Words for Chinese Dependency Parsing. IWPT (2013)
Mo Yu, Tiejun Zhao, Daxiang Dong, Hao Tian, Dianhai Yu
Compound Embedding Features for Semi-supervised Learning. HLT-NAACL (2013)
Qiwen Liu, Tianjian Chen, Jing Cai, Dianhai Yu
Enlister: baidu's recommender system for the biggest chinese Q&A website. RecSys (2012)
Xiaojun Lin, Liang Zhao, Dianhai Yu, Xihong Wu
Distributed training for Conditional Random Fields. NLPKE (2010)
Xihong Wu, Xiaojun Lin, Xinhao Wang, Chunyao Wu, Yaozhong Zhang, Dianhai Yu
An Improved CRF based Chinese Language Processing System for SIGHAN Bakeoff 2007. IJCNLP (2008)
Xinhao Wang, Xiaojun Lin, Dianhai Yu, Hao Tian, Xihong Wu
Chinese Word Segmentation with Maximum Entropy and N-gram Language Model. SIGHAN@COLING/ACL (2006)