Dianhai Yu - RankMe

75 papers A* 11A 1B 1Journal 52Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Boosting Document Parsing Efficiency and Performance with Coarse-to-Fine Visual Processing. CoRR Cheng Cui, Ting Sun, Suyin Liang, Tingquan Gao, Zelun Zhang, Jiaxuan Liu, Xueqing Wang, Changda Zhou, Hongen Liu, Manhui Lin, Yue Zhang, Yubo Zhang, Jing Zhang, Jun Zhang, Xing Wei, Yi Liu, Dianhai Yu, Yanjun Ma
2026	J	`jnl`	PaddleOCR-VL-1.5: Towards a Multi-Task 0.9B VLM for Robust In-the-Wild Document Parsing. CoRR Cheng Cui, Ting Sun, Suyin Liang, Tingquan Gao, Zelun Zhang, Jiaxuan Liu, Xueqing Wang, Changda Zhou, Hongen Liu, Manhui Lin, Yue Zhang, Yubo Zhang, Yi Liu, Dianhai Yu, Yanjun Ma
2026	J	`jnl`	RRAttention: Dynamic Block Sparse Attention via Per-Head Round-Robin Shifts for Long-Context Inference. CoRR Siran Liu, Guoxia Wang, Sa Wang, Jinle Zeng, Haoyang Xie, Siyu Lou, Jiabin Yang, Dianhai Yu, Haifeng Wang, Chao Yang
2026	J	`jnl`	Sparse Layer Sharpness-Aware Minimization for Efficient Fine-Tuning. CoRR Yifei Cheng, Xianglin Yang, Guoxia Wang, Chao Huang, Fei Ma, Dianhai Yu, Xiaochun Cao, Li Shen
2025	J	`jnl`	AdaGC: Improving Training Stability for Large Language Model Pretraining. CoRR Guoxia Wang, Shuai Li, Congliang Chen, Jinle Zeng, Jiabin Yang, Tao Sun, Yanjun Ma, Dianhai Yu, Li Shen
2025	J	`jnl`	CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs. CoRR Zhaojing Zhou, Xunchao Li, Minghao Li, Handi Zhang, Haoshuang Wang, Wenbin Chang, Yiqun Liu, Qingqing Dang, Dianhai Yu, Yanjun Ma, Haifeng Wang
2025	J	`jnl`	Federated Generalized Novel Category Discovery with Prompts Tuning. Trans. Mach. Learn. Res. Lei Shen, Nan Pu, Zhun Zhong, Mingming Gong, Dianhai Yu, Chengqi Zhang, Bo Han
2025	A*	`conf`	FlashMask: Efficient and Rich Mask Extension of FlashAttention. ICLR Guoxia Wang, Jinle Zeng, Xiyuan Xiao, Siming Wu, Jiabin Yang, Lujing Zheng, Zeyu Chen, Jiang Bian, Dianhai Yu, Haifeng Wang
2025	J	`jnl`	GraphNet: A Large-Scale Computational Graph Dataset for Tensor Compiler Research. CoRR Xinqi Li, Yiqun Liu, Shan Jiang, Enrong Zheng, Huaijin Zheng, Wenhao Dai, Haodong Deng, Dianhai Yu, Yanjun Ma
2025	J	`jnl`	Low-Precision Training of Large Language Models: Methods, Challenges, and Opportunities. CoRR Zhiwei Hao, Jianyuan Guo, Li Shen, Yong Luo, Han Hu, Guoxia Wang, Dianhai Yu, Yonggang Wen, Dacheng Tao
2025	J	`jnl`	PaddleOCR 3.0 Technical Report. CoRR Cheng Cui, Ting Sun, Manhui Lin, Tingquan Gao, Yubo Zhang, Jiaxuan Liu, Xueqing Wang, Zelun Zhang, Changda Zhou, Hongen Liu, Yue Zhang, Wenyu Lv, Kui Huang, Yichao Zhang, Jing Zhang, Jun Zhang, Yi Liu, Dianhai Yu, Yanjun Ma
2025	J	`jnl`	PaddleOCR-VL: Boosting Multilingual Document Parsing via a 0.9B Ultra-Compact Vision-Language Model. CoRR Cheng Cui, Ting Sun, Suyin Liang, Tingquan Gao, Zelun Zhang, Jiaxuan Liu, Xueqing Wang, Changda Zhou, Hongen Liu, Manhui Lin, Yue Zhang, Yubo Zhang, Handong Zheng, Jing Zhang, Jun Zhang, Yi Liu, Dianhai Yu, Yanjun Ma
2025	J	`jnl`	SeWA: Selective Weight Average via Probabilistic Masking. CoRR Peng Wang, Shengchao Hu, Zerui Tao, Guoxia Wang, Dianhai Yu, Li Shen, Quan Zheng, Dacheng Tao
2024	J	`jnl`	A Framework for Cost-Effective and Self-Adaptive LLM Shaking and Recovery Mechanism. CoRR Zhiyu Chen, Yu Li, Suochao Zhang, Jingbo Zhou, Jiwen Zhou, Chenfu Bao, Dianhai Yu
2024	J	`jnl`	Exploiting Cross-Modal Prediction and Relation Consistency for Semisupervised Image Captioning. IEEE Trans. Cybern. Yang Yang, Hongchen Wei, Hengshu Zhu, Dianhai Yu, Hui Xiong, Jian Yang
2024	J	`jnl`	FlashMask: Efficient and Rich Mask Extension of FlashAttention. CoRR Guoxia Wang, Jinle Zeng, Xiyuan Xiao, Siming Wu, Jiabin Yang, Lujing Zheng, Zeyu Chen, Jiang Bian, Dianhai Yu, Haifeng Wang
2024	J	`jnl`	MoESys: A Distributed and Efficient Mixture-of-Experts Training and Inference System for Internet Services. IEEE Trans. Serv. Comput. Dianhai Yu, Liang Shen, Hongxiang Hao, Weibao Gong, HuaChao Wu, Jiang Bian, Lirong Dai, Haoyi Xiong
2024	—	`conf`	NACL: A General and Effective KV Cache Eviction Framework for LLM at Inference Time. ACL (1) Yilong Chen, Guoxia Wang, Junyuan Shang, Shiyao Cui, Zhenyu Zhang, Tingwen Liu, Shuohuan Wang, Yu Sun, Dianhai Yu, Hua Wu
2024	J	`jnl`	NACL: A General and Effective KV Cache Eviction Framework for LLMs at Inference Time. CoRR Yilong Chen, Guoxia Wang, Junyuan Shang, Shiyao Cui, Zhenyu Zhang, Tingwen Liu, Shuohuan Wang, Yu Sun, Dianhai Yu, Hua Wu
2024	A*	`conf`	Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials. WWW Mingguo He, Zhewei Wei, Shikun Feng, Zhengjie Huang, Weibin Li, Yu Sun, Dianhai Yu
2023	J	`jnl`	Attribute-driven streaming edge partitioning with reconciliations for distributed graph neural network training. Neural Networks Zongshen Mu, Siliang Tang, Yueting Zhuang, Dianhai Yu
2023	J	`jnl`	Graph neural networks meet with distributed graph partitioners and reconciliations. Neurocomputing Zongshen Mu, Siliang Tang, Chang Zong, Dianhai Yu, Yueting Zhuang
2023	J	`jnl`	HeterPS: Distributed deep learning with reinforcement learning based scheduling in heterogeneous environments. Future Gener. Comput. Syst. Ji Liu, Zhihua Wu, Danlei Feng, Minxu Zhang, Xinxuan Wu, Xuefeng Yao, Dianhai Yu, Yanjun Ma, Feng Zhao, Dejing Dou
2023	A*	`conf`	Label Information Enhanced Fraud Detection against Low Homophily in Graphs. WWW Yuchen Wang, Jinghui Zhang, Zhengjie Huang, Weibin Li, Shikun Feng, Ziheng Ma, Yu Sun, Dianhai Yu, Fang Dong, Jiahui Jin, Beilun Wang, Junzhou Luo
2023	J	`jnl`	Label Information Enhanced Fraud Detection against Low Homophily in Graphs. CoRR Yuchen Wang, Jinghui Zhang, Zhengjie Huang, Weibin Li, Shikun Feng, Ziheng Ma, Yu Sun, Dianhai Yu, Fang Dong, Jiahui Jin, Beilun Wang, Junzhou Luo
2023	J	`jnl`	Large-scale knowledge distillation with elastic heterogeneous computing resources. Concurr. Comput. Pract. Exp. Ji Liu, Daxiang Dong, Xi Wang, An Qin, Xingjian Li, Patrick Valduriez, Dejing Dou, Dianhai Yu
2023	A*	`conf`	PGLBox: Multi-GPU Graph Learning Framework for Web-Scale Recommendation. KDD 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
2023	J	`jnl`	Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials. CoRR Mingguo He, Zhewei Wei, Shikun Feng, Zhengjie Huang, Weibin Li, Yu Sun, Dianhai Yu
2023	J	`jnl`	TA-MoE: Topology-Aware Large Scale Mixture-of-Expert Training. CoRR Chang Chen, Min Li, Zhihua Wu, Dianhai Yu, Chao Yang
2022	J	`jnl`	Boosting Distributed Training Performance of the Unpadded BERT Model. CoRR Jinle Zeng, Min Li, Zhihua Wu, Jiaqi Liu, Yuang Liu, Dianhai Yu, Yanjun Ma
2022	J	`jnl`	ERNIE-mmLayout: Multi-grained MultiModal Transformer for Document Understanding. CoRR Wenjin Wang, Zhengjie Huang, Bin Luo, Qianglong Chen, Qiming Peng, Yinxu Pan, Weichong Yin, Shikun Feng, Yu Sun, Dianhai Yu, Yin Zhang
2022	J	`jnl`	Efficient AlphaFold2 Training using Parallel Evoformer and Branch Parallelism. CoRR Guoxia Wang, Zhihua Wu, Xiaomin Fang, Yingfei Xiang, Yiqun Liu, Dianhai Yu, Yanjun Ma
2022	J	`jnl`	HelixFold: An Efficient Implementation of AlphaFold2 using PaddlePaddle. CoRR Guoxia Wang, Xiaomin Fang, Zhihua Wu, Yiqun Liu, Yang Xue, Yingfei Xiang, Dianhai Yu, Fan Wang, Yanjun Ma
2022	J	`jnl`	Large-scale Knowledge Distillation with Elastic Heterogeneous Computing Resources. CoRR Ji Liu, Daxiang Dong, Xi Wang, An Qin, Xingjian Li, Patrick Valduriez, Dejing Dou, Dianhai Yu
2022	J	`jnl`	Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters. CoRR 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
2022	J	`jnl`	PP-LiteSeg: A Superior Real-Time Semantic Segmentation Model. CoRR 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
2022	J	`jnl`	PP-Matting: High-Accuracy Natural Image Matting. CoRR 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
2022	J	`jnl`	PP-OCRv3: More Attempts for the Improvement of Ultra Lightweight OCR System. CoRR Chenxia Li, Weiwei Liu, Ruoyu Guo, Xiaoting Yin, Kaitao Jiang, Yongkun Du, Yuning Du, Lingfeng Zhu, Baohua Lai, Xiaoguang Hu, Dianhai Yu, Yanjun Ma
2022	J	`jnl`	PP-StructureV2: A Stronger Document Analysis System. CoRR Chenxia Li, Ruoyu Guo, Jun Zhou, Mengtao An, Yuning Du, Lingfeng Zhu, Yi Liu, Xiaoguang Hu, Dianhai Yu
2022	J	`jnl`	PP-YOLOE-R: An Efficient Anchor-Free Rotated Object Detector. CoRR Xinxin Wang, Guanzhong Wang, Qingqing Dang, Yi Liu, Xiaoguang Hu, Dianhai Yu
2022	J	`jnl`	PaddleSpeech: An Easy-to-Use All-in-One Speech Toolkit. CoRR Hui Zhang, Tian Yuan, Jun-Kun Chen, Xintong Li, Renjie Zheng, Yuxin Huang, Xiaojie Chen, Enlei Gong, Zeyu Chen, Xiaoguang Hu, Dianhai Yu, Yanjun Ma, Liang Huang
2022	J	`jnl`	SE-MoE: A Scalable and Efficient Mixture-of-Experts Distributed Training and Inference System. CoRR Liang Shen, Zhihua Wu, Weibao Gong, Hongxiang Hao, Yangfan Bai, HuaChao Wu, Xinxuan Wu, Haoyi Xiong, Dianhai Yu, Yanjun Ma
2022	A*	`conf`	Simple and Effective Relation-based Embedding Propagation for Knowledge Representation Learning. IJCAI Huijuan Wang, Siming Dai, Weiyue Su, Hui Zhong, Zeyang Fang, Zhengjie Huang, Shikun Feng, Zeyu Chen, Yu Sun, Dianhai Yu
2022	J	`jnl`	Simple and Effective Relation-based Embedding Propagation for Knowledge Representation Learning. CoRR Huijuan Wang, Siming Dai, Weiyue Su, Hui Zhong, Zeyang Fang, Zhengjie Huang, Shikun Feng, Zeyu Chen, Yu Sun, Dianhai Yu
2022	A*	`conf`	TA-MoE: Topology-Aware Large Scale Mixture-of-Expert Training. NeurIPS Chang Chen, Min Li, Zhihua Wu, Dianhai Yu, Chao Yang
2022	A*	`conf`	mmLayout: Multi-grained MultiModal Transformer for Document Understanding. ACM Multimedia Wenjin Wang, Zhengjie Huang, Bin Luo, Qianglong Chen, Qiming Peng, Yinxu Pan, Weichong Yin, Shikun Feng, Yu Sun, Dianhai Yu, Yin Zhang
2021	J	`jnl`	Beyond Self-Supervision: A Simple Yet Effective Network Distillation Alternative to Improve Backbones. CoRR 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
2021	J	`jnl`	ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and Generation. CoRR 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
2021	J	`jnl`	ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation. CoRR 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
2021	—	`conf`	Elastic Deep Learning Using Knowledge Distillation with Heterogeneous Computing Resources. Euro-Par Workshops Daxiang Dong, Ji Liu, Xi Wang, Weibao Gong, An Qin, Xingjian Li, Dianhai Yu, Patrick Valduriez, Dejing Dou
2021	J	`jnl`	End-to-end Adaptive Distributed Training on PaddlePaddle. CoRR 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
2021	J	`jnl`	Exploiting Cross-Modal Prediction and Relation Consistency for Semi-Supervised Image Captioning. CoRR Yang Yang, Hongchen Wei, Hengshu Zhu, Dianhai Yu, Hui Xiong, Jian Yang
2021	J	`jnl`	HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous Environments. CoRR Ji Liu, Zhihua Wu, Dianhai Yu, Yanjun Ma, Danlei Feng, Minxu Zhang, Xinxuan Wu, Xuefeng Yao, Dejing Dou
2021	J	`jnl`	PP-LCNet: A Lightweight CPU Convolutional Neural Network. CoRR 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
2021	J	`jnl`	PP-OCRv2: Bag of Tricks for Ultra Lightweight OCR System. CoRR Yuning Du, Chenxia Li, Ruoyu Guo, Cheng Cui, Weiwei Liu, Jun Zhou, Bin Lu, Yehua Yang, Qiwen Liu, Xiaoguang Hu, Dianhai Yu, Yanjun Ma
2021	J	`jnl`	PP-PicoDet: A Better Real-Time Object Detector on Mobile Devices. CoRR 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
2021	J	`jnl`	PP-ShiTu: A Practical Lightweight Image Recognition System. CoRR 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
2021	J	`jnl`	PP-YOLOv2: A Practical Object Detector. CoRR 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
2021	A*	`conf`	Rethinking Label-Wise Cross-Modal Retrieval from A Semantic Sharing Perspective. IJCAI Yang Yang, Chubing Zhang, Yi-Chu Xu, Dianhai Yu, De-Chuan Zhan, Jian Yang
2020	J	`jnl`	Distilling Knowledge from Pre-trained Language Models via Text Smoothing. CoRR Xing Wu, Yibing Liu, Xiangyang Zhou, Dianhai Yu
2019	J	`jnl`	How to Evaluate the Next System: Automatic Dialogue Evaluation from the Perspective of Continual Learning. CoRR Lu Li, Zhongheng He, Xiangyang Zhou, Dianhai Yu
2019	A*	`conf`	RLTM: An Efficient Neural IR Framework for Long Documents. IJCAI Chen Zheng, Yu Sun, Shengxian Wan, Dianhai Yu
2019	J	`jnl`	RLTM: An Efficient Neural IR Framework for Long Documents. CoRR Chen Zheng, Yu Sun, Shengxian Wan, Dianhai Yu
2018	—	`conf`	A New Method of Region Embedding for Text Classification. ICLR (Poster) Chao Qiao, Bo Huang, Guocheng Niu, Daren Li, Daxiang Dong, Wei He, Dianhai Yu, Hua Wu
2018	—	`conf`	Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network. ACL (1) Xiangyang Zhou, Lu Li, Daxiang Dong, Yi Liu, Ying Chen, Wayne Xin Zhao, Dianhai Yu, Hua Wu
2016	A*	`conf`	Multi-view Response Selection for Human-Computer Conversation. EMNLP Xiangyang Zhou, Daxiang Dong, Hua Wu, Shiqi Zhao, Dianhai Yu, Hao Tian, Xuan Liu, Rui Yan
2015	—	`conf`	Multi-Task Learning for Multiple Language Translation. ACL (1) Daxiang Dong, Hua Wu, Wei He, Dianhai Yu, Haifeng Wang
2014	A*	`conf`	Improve Statistical Machine Translation with Context-Sensitive Bilingual Semantic Embedding Model. EMNLP Haiyang Wu, Daxiang Dong, Xiaoguang Hu, Dianhai Yu, Wei He, Hua Wu, Haifeng Wang, Ting Liu
2013	—	`conf`	Compound Embedding Features for Semi-supervised Learning. HLT-NAACL Mo Yu, Tiejun Zhao, Daxiang Dong, Hao Tian, Dianhai Yu
2013	—	`conf`	Cross-lingual Projections between Languages from Different Families. ACL (2) Mo Yu, Tiejun Zhao, Yalong Bai, Hao Tian, Dianhai Yu
2013	—	`conf`	Generalization of Words for Chinese Dependency Parsing. IWPT Xianchao Wu, Jie Zhou, Yu Sun, Zhanyi Liu, Dianhai Yu, Hua Wu, Haifeng Wang
2012	A	`conf`	Enlister: baidu's recommender system for the biggest chinese Q&A website. RecSys Qiwen Liu, Tianjian Chen, Jing Cai, Dianhai Yu
2010	—	`conf`	Distributed training for Conditional Random Fields. NLPKE Xiaojun Lin, Liang Zhao, Dianhai Yu, Xihong Wu
2008	B	`conf`	An Improved CRF based Chinese Language Processing System for SIGHAN Bakeoff 2007. IJCNLP Xihong Wu, Xiaojun Lin, Xinhao Wang, Chunyao Wu, Yaozhong Zhang, Dianhai Yu
2006	—	`conf`	Chinese Word Segmentation with Maximum Entropy and N-gram Language Model. SIGHAN@COLING/ACL Xinhao Wang, Xiaojun Lin, Dianhai Yu, Hao Tian, Xihong Wu