Yihua Huang

According to our database, Yihua Huang authored at least 85 papers between 2009 and 2023.

Collaborative distances:

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

2023

High-Level Data Abstraction and Elastic Data Caching for Data-Intensive AI Applications on Cloud-Native Platforms.

Rong Gu, Zhihao Xu, Yang Che, Xu Wang, Haipeng Dai, Kai Zhang, Bin Fan, Haojun Hou, Li Yi, Yu Ding, Yihua Huang, Guihai Chen

IEEE Trans. Parallel Distributed Syst., November, 2023

Coral: federated query join order optimization based on deep reinforcement learning.

Rong Gu, Yi Zhang, Liangliang Yin, Lingyi Song, Wenjie Huang, Chunfeng Yuan, Zhaokang Wang, Guanghui Zhu, Yihua Huang

World Wide Web (WWW), September, 2023

Nested relation extraction via self-contrastive learning guided by structure and semantic similarity.

Chengcheng Mai, Kaiwen Luo, Yuxiang Wang, Ziyan Peng, Yu Chen, Chunfeng Yuan, Yihua Huang

Neural Networks, May, 2023

ShadowAQP: Efficient Approximate Group-by and Join Query via Attribute-oriented Sample Size Allocation and Data Generation.

Rong Gu, Han Li, Haipeng Dai, Wenjie Huang, Jie Xue, Meng Li, Jiaqi Zheng, Haoran Cai, Yihua Huang, Guihai Chen

Proc. VLDB Endow., 2023

Simple and Efficient Partial Graph Adversarial Attack: A New Perspective.

Guanghui Zhu, Mengyu Chen, Chunfeng Yuan, Yihua Huang

CoRR, 2023

HAGNN: Hybrid Aggregation for Heterogeneous Graph Neural Networks.

Guanghui Zhu, Zhennan Zhu, Hongyang Chen, Chunfeng Yuan, Yihua Huang

CoRR, 2023

Adaptive Online Cache Capacity Optimization via Lightweight Working Set Size Estimation at Scale.

Rong Gu, Simian Li, Haipeng Dai, Hancheng Wang, Yili Luo, Bin Fan, Ran Ben Basat, Ke Wang, Zhenyu Song, Shouwei Chen, Beinan Wang, Yihua Huang, Guihai Chen

Proceedings of the 2023 USENIX Annual Technical Conference, 2023

AdaMCL: Adaptive Fusion Multi-View Contrastive Learning for Collaborative Filtering.

Guanghui Zhu, Wang Lu, Chunfeng Yuan, Yihua Huang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Operation-Level Early Stopping for Robustifying Differentiable NAS.

Shen Jiang, Zipeng Ji, Guanghui Zhu, Chunfeng Yuan, Yihua Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Time and Cost-Efficient Cloud Data Transmission based on Serverless Computing Compression.

Rong Gu, Xiaofei Chen, Haipeng Dai, Shulin Wang, Zhaokang Wang, Yaofeng Tu, Yihua Huang, Guihai Chen

Proceedings of the IEEE INFOCOM 2023, 2023

STSD: Modeling Spatial Temporal Staticity and Dynamicity in Traffic Forecasting.

Guanghui Zhu, Haojun Hou, Peiliang Wang, Chunfeng Yuan, Yihua Huang

Proceedings of the IEEE International Conference on Data Mining, 2023

AutoAC: Towards Automated Attribute Completion for Heterogeneous Graph Neural Network.

Guanghui Zhu, Zhennan Zhu, Wenjie Wang, Zhuoer Xu, Chunfeng Yuan, Yihua Huang

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Liquid: Intelligent Resource Estimation and Network-Efficient Scheduling for Deep Learning Jobs on Distributed GPU Clusters.

Rong Gu, Yuquan Chen, Shuai Liu, Haipeng Dai, Guihai Chen, Kai Zhang, Yang Che, Yihua Huang

IEEE Trans. Parallel Distributed Syst., 2022

Octopus-DF: Unified DataFrame-based cross-platform data analytic system.

Rong Gu, Jun Shi, Xiaofei Chen, Zhaokang Wang, Yang Che, Kai Zhang, Yihua Huang

Parallel Comput., 2022

One-Stage Tree: end-to-end tree builder and pruner.

Zhuoer Xu, Guanghui Zhu, Chunfeng Yuan, Yihua Huang

Mach. Learn., 2022

Pronounce differently, mean differently: A multi-tagging-scheme learning method for Chinese NER integrated with lexicon and phonetic features.

Chengcheng Mai, Jian Liu, Mengchuan Qiu, Kaiwen Luo, Ziyan Peng, Chunfeng Yuan, Yihua Huang

Inf. Process. Manag., 2022

Transition Relation Aware Self-Attention for Session-based Recommendation.

Guanghui Zhu, Haojun Hou, Jingfan Chen, Chunfeng Yuan, Yihua Huang

CoRR, 2022

Pretraining Multi-modal Representations for Chinese NER Task with Cross-Modality Attention.

Chengcheng Mai, Mengchuan Qiu, Kaiwen Luo, Ziyan Peng, Jian Liu, Chunfeng Yuan, Yihua Huang

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Meces: Latency-efficient Rescaling via Prioritized State Migration for Stateful Distributed Stream Processing Systems.

Rong Gu, Han Yin, Weichang Zhong, Chunfeng Yuan, Yihua Huang

Proceedings of the 2022 USENIX Annual Technical Conference, 2022

NAS-CTR: Efficient Neural Architecture Search for Click-Through Rate Prediction.

Guanghui Zhu, Feng Cheng, Defu Lian, Chunfeng Yuan, Yihua Huang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

AutoGSR: Neural Architecture Search for Graph-based Session Recommendation.

Jingfan Chen, Guanghui Zhu, Haojun Hou, Chunfeng Yuan, Yihua Huang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Evolutionary Automated Feature Engineering.

Guanghui Zhu, Shen Jiang, Xu Guo, Chunfeng Yuan, Yihua Huang

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

A2: Efficient Automated Attacker for Boosting Adversarial Training.

Zhuoer Xu, Guanghui Zhu, Changhua Meng, Shiwen Cui, Zhenzhe Ying, Weiqiang Wang, Ming Gu, Yihua Huang

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

Knowledge-enhanced Black-box Attacks for Recommendations.

Jingfan Chen, Wenqi Fan, Guanghui Zhu, Xiangyu Zhao, Chunfeng Yuan, Qing Li, Yihua Huang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

PSP: Progressive Space Pruning for Efficient Graph Neural Architecture Search.

Guanghui Zhu, Wenjie Wang, Zhuoer Xu, Feng Cheng, Mengchuan Qiu, Chunfeng Yuan, Yihua Huang

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Fluid: Dataset Abstraction and Elastic Acceleration for Cloud-native Deep Learning Training Jobs.

Rong Gu, Kai Zhang, Zhihao Xu, Yang Che, Bin Fan, Haojun Hou, Haipeng Dai, Li Yi, Yu Ding, Guihai Chen, Yihua Huang

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Efficient. Scalable and Robust Data Shuffle Service for Distributed MapReduce Computing on Cloud.

Rong Gu, Xu Huang, Haipeng Dai, Xiaoyu Geng, Xiaofei Chen, Yihua Huang, Fu Xiao, Guihai Chen

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

Towards Efficient Reverse-time Migration Imaging Computation by Pipeline and Fine-grained Execution Parallelization.

Rong Gu, Bo Li, Dingjin Liu, Zhaokang Wang, Suhui Wangzhang, Shulin Wang, Haipeng Dai, Yihua Huang

Proceedings of the 25th IEEE International Conference on Computational Science and Engineering, 2022

Towards Self-supervised Learning on Graphs with Heterophily.

Jingfan Chen, Guanghui Zhu, Yifan Qi, Chunfeng Yuan, Yihua Huang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

DIFER: Differentiable Automated Feature Engineering.

Guanghui Zhu, Zhuoer Xu, Chunfeng Yuan, Yihua Huang

Proceedings of the International Conference on Automated Machine Learning, 2022

2021

Towards Efficient Distributed Subgraph Enumeration Via Backtracking-Based Framework.

Zhaokang Wang, Weiwei Hu, Guowang Chen, Chunfeng Yuan, Rong Gu, Yihua Huang

IEEE Trans. Parallel Distributed Syst., 2021

Towards Efficient Large-Scale Interprocedural Program Static Analysis on Distributed Data-Parallel Computation.

Rong Gu, Zhiqiang Zuo, Xi Jiang, Han Yin, Zhaokang Wang, Linzhang Wang, Xuandong Li, Yihua Huang

IEEE Trans. Parallel Distributed Syst., 2021

Alchemy: Distributed financial quantitative analysis system with high-level programming model.

Rong Gu, Zhixiang Zhang, Zhihao Xu, Zhaokang Wang, Kai Zhang, Chunfeng Yuan, Yihua Huang

Softw. Pract. Exp., 2021

Improving in-memory file system reading performance by fine-grained user-space cache mechanisms.

Rong Gu, Chongjie Li, Haipeng Dai, Yili Luo, Xiaolong Xu, Shaohua Wan, Yihua Huang

J. Syst. Archit., 2021

VSIM: Distributed local structural vertex similarity calculation on big graphs.

Zhaokang Wang, Shen Wang, Junhong Li, Chunfeng Yuan, Rong Gu, Yihua Huang

J. Parallel Distributed Comput., 2021

SparkDQ: Efficient generic big data quality management on distributed data-parallel computation.

Rong Gu, Yang Qi, Tongyu Wu, Zhaokang Wang, Xiaolong Xu, Chunfeng Yuan, Yihua Huang

J. Parallel Distributed Comput., 2021

Empirical analysis of performance bottlenecks in graph neural network training and inference with GPUs.

Zhaokang Wang, Yunpan Wang, Chunfeng Yuan, Rong Gu, Yihua Huang

Neurocomputing, 2021

Progressive AutoSpeech: An Efficient and General Framework for Automatic Speech Classification.

Guanghui Zhu, Feng Cheng, Mengchuan Qiu, Zhuoer Xu, Wenjie Wang, Chunfeng Yuan, Yihua Huang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

UniGPS: A Unified Programming Framework for Distributed Graph Processing.

Zhaokang Wang, Junhong Li, Yifan Qi, Guanghui Zhu, Chunfeng Yuan, Yihua Huang

Proceedings of the 27th IEEE International Conference on Parallel and Distributed Systems, 2021

2020

DIFER: Differentiable Automated Feature Engineering.

Guanghui Zhu, Zhuoer Xu, Xu Guo, Chunfeng Yuan, Yihua Huang

CoRR, 2020

Distributed Subgraph Enumeration via Backtracking-based Framework.

Zhaokang Wang, Weiwei Hu, Chunfeng Yuan, Rong Gu, Yihua Huang

CoRR, 2020

Semi-supervised Embedding Learning for High-dimensional Bayesian Optimization.

Jingfan Chen, Guanghui Zhu, Rong Gu, Chunfeng Yuan, Yihua Huang

CoRR, 2020

2019

Correlation-aware partitioning for skewed range query optimization.

Wei Ge, Xianxian Li, Chunfeng Yuan, Yihua Huang

World Wide Web, 2019

Efficient and Scalable Functional Dependency Discovery on Distributed Data-Parallel Platforms.

Guanghui Zhu, Qian Wang, Qiwei Tang, Rong Gu, Chunfeng Yuan, Yihua Huang

IEEE Trans. Parallel Distributed Syst., 2019

DGST: Efficient and scalable suffix tree construction on distributed data-parallel platforms.

Guanghui Zhu, Chen Guo, Le Lu, Zhi Huang, Chunfeng Yuan, Rong Gu, Yihua Huang

Parallel Comput., 2019

ForestLayer: Efficient training of deep forests on distributed task-parallel platforms.

Guanghui Zhu, Qiu Hu, Rong Gu, Chunfeng Yuan, Yihua Huang

J. Parallel Distributed Comput., 2019

Adaptive cache policy scheduling for big data applications on distributed tiered storage system.

Rong Gu, Chongjie Li, Peng Shu, Chunfeng Yuan, Yihua Huang

Concurr. Comput. Pract. Exp., 2019

BigSpa: An Efficient Interprocedural Static Analysis Engine in the Cloud.

Zhiqiang Zuo, Rong Gu, Xi Jiang, Zhaokang Wang, Yihua Huang, Linzhang Wang, Xuandong Li

Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

Push-Based Network-efficient Hadoop YARN Scheduling Mechanism for In-Memory Computing.

Rong Gu, Kaixuan Huang, Zhixiang Zhang, Chunfeng Yuan, Yihua Huang

Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019

HyMJ: A Hybrid Structure-Aware Approach to Distributed Multi-way Join Query.

Guanghui Zhu, Xiaoqi Wu, Liangliang Yin, Haogang Wang, Rong Gu, Chunfeng Yuan, Yihua Huang

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

BENU: Distributed Subgraph Enumeration with Backtracking-Based Framework.

Zhaokang Wang, Rong Gu, Weiwei Hu, Chunfeng Yuan, Yihua Huang

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018

Penguin: Efficient Query-Based Framework for Replaying Large Scale Historical Data.

Rong Gu, Yu-Fa Zhou, Zhaokang Wang, Chunfeng Yuan, Yihua Huang

IEEE Trans. Parallel Distributed Syst., 2018

Parallelizing Machine Learning Optimization Algorithms on Distributed Data-Parallel Platforms with Parameter Server.

Rong Gu, Shiqing Fan, Qiu Hu, Chunfeng Yuan, Yihua Huang

Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018

Seal: Efficient Training Large Scale Statistical Machine Translation Models on Spark.

Rong Gu, Min Chen, Wenjia Yang, Chunfeng Yuan, Yihua Huang

Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018

2017

Improving Execution Concurrency of Large-Scale Matrix Multiplication on Distributed Data-Parallel Platforms.

Rong Gu, Yun Tang, Chen Tian, Hucheng Zhou, Guanru Li, Xudong Zheng, Yihua Huang

IEEE Trans. Parallel Distributed Syst., 2017

AutoMJ: Towards Efficient Multi-way Join Query on Distributed Data-Parallel Platform.

Guanghui Zhu, Xiaoqi Wu, Rong Gu, Chunfeng Yuan, Yihua Huang

Proceedings of the 23rd IEEE International Conference on Parallel and Distributed Systems, 2017

2016

Accelerating Big Data Applications on Tiered Storage System with Various Eviction Policies.

Peng Shu, Rong Gu, Qianhao Dong, Chunfeng Yuan, Yihua Huang

Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

A Time-Cost Based Automatic Scheduling Framework for Matrix Computation on Various Distributed Computing Platforms.

Rong Gu, Zhiqiang Liu, Chunfeng Yuan, Yihua Huang

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

Stock market prediction exploiting microblog sentiment analysis.

Bo Zhao, Yongji He, Chunfeng Yuan, Yihua Huang

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

PTR: Phrase-Based Topical Ranking for Automatic Keyphrase Extraction in Scientific Publications.

Minmei Wang, Bo Zhao, Yihua Huang

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

An Adaptive Partition-Based Caching Approach for Efficient Range Queries on Key-Value Data.

Wei Ge, Min Chen, Chunfeng Yuan, Yihua Huang

Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

2015

AutoRM: An effective approach for automatic Web data record mining.

Shengsheng Shi, Chengfei Liu, Yi Shen, Chunfeng Yuan, Yihua Huang

Knowl. Based Syst., 2015

Cichlid: Efficient Large Scale RDFS/OWL Reasoning with Spark.

Rong Gu, Shanyong Wang, Fangfang Wang, Chunfeng Yuan, Yihua Huang

Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

iPLAR: Towards Interactive Programming with Parallel Linear Algebra in R.

Zhaokang Wang, Shiqing Fan, Rong Gu, Chunfeng Yuan, Yihua Huang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2015

Parallel Training GBRT Based on KMeans Histogram Approximation for Big Data.

Rong Gu, Lei Jin, Yongwei Wu, Jingying Qu, Tao Wang, Xiaojun Wang, Chunfeng Yuan, Yihua Huang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2015

Unified Programming Model and Software Framework for Big Data Machine Learning and Data Analytics.

Rong Gu, Yun Tang, Qianhao Dong, Zhaokang Wang, Zhiqiang Liu, Shuai Wang, Chunfeng Yuan, Yihua Huang

Proceedings of the 39th Annual Computer Software and Applications Conference, 2015

Efficient large scale distributed matrix computation with spark.

Rong Gu, Yun Tang, Zhaokang Wang, Shuai Wang, Xusen Yin, Chunfeng Yuan, Yihua Huang

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014

SHadoop: Improving MapReduce performance by optimizing job execution mechanism in Hadoop clusters.

Rong Gu, Xiaoliang Yang, Jinshuang Yan, Yuanhao Sun, Bing Wang, Chunfeng Yuan, Yihua Huang

J. Parallel Distributed Comput., 2014

Multi-feature and DAG-Based Multi-tree Matching Algorithm for Automatic Web Data Mining.

Shengsheng Shi, Chengfei Liu, Chunfeng Yuan, Yihua Huang

Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014

YAFIM: A Parallel Frequent Itemset Mining Algorithm with Spark.

Hongjian Qiu, Rong Gu, Chunfeng Yuan, Yihua Huang

Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014

Training Large Scale Deep Neural Networks on the Intel Xeon Phi Many-Core Coprocessor.

Lei Jin, Zhaokang Wang, Rong Gu, Chunfeng Yuan, Yihua Huang

Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014

Rainbow: A distributed and hierarchical RDF triple store with dynamic scalability.

Rong Gu, Wei Hu, Yihua Huang

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

CinHBa: A Secondary Index with Hotscore Caching Policy on Key-Value Data Store.

Wei Ge, Yihua Huang, Di Zhao, Shengmei Luo, Chunfeng Yuan, Wenhui Zhou, Yun Tang, Juan Zhou

Proceedings of the Advanced Data Mining and Applications - 10th International Conference, 2014

2013

NEXIR: A Novel Web Extraction Rule Language toward a Three-Stage Web Data Extraction Model.

Shengsheng Shi, Wu Wei, Yulong Liu, Haitao Wang, Lei Luo, Chunfeng Yuan, Yihua Huang

Proceedings of the Web Information Systems Engineering - WISE 2013, 2013

Large Scale Nearest Neighbors Search Based on Neighborhood Graph.

Wenhui Zhou, Chunfeng Yuan, Rong Gu, Yihua Huang

Proceedings of the International Conference on Advanced Cloud and Big Data, 2013

Parallel Approach and Platform for Large-Scale WEB Data Extraction.

Shen Yi, Shengsheng Shi, Haitao Wang, Wu Wei, Chunfeng Yuan, Yihua Huang

Proceedings of the International Conference on Advanced Cloud and Big Data, 2013

A parallel computing platform for training large scale neural networks.

Rong Gu, Furao Shen, Yihua Huang

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

Extraction Rule Language for Web Information Extraction and Integration.

Wu Wei, Shengsheng Shi, Yulong Liu, Haitao Wang, Chunfeng Yuan, Yihua Huang

Proceedings of the 2013 10th Web Information System and Application Conference, 2013

Layered and Weighted Tree Matching Algorithm for Automatic Web Data Records Recognition.

Shengsheng Shi, Fuliang Quan, Tao Xie, Chunfeng Yuan, Yihua Huang

Proceedings of the 2013 10th Web Information System and Application Conference, 2013

2012

Parallelized Similarity Flooding Algorithm for Processing Large Scale Graph Datasets with MapReduce.

Jian Zhang, Chunfeng Yuan, Yihua Huang

Proceedings of the 13th International Conference on Parallel and Distributed Computing, 2012

Parallelized Near-Duplicate Document Detection Algorithm for Large Scale Chinese Web Pages.

Yongzhuang Wei, Shuai Wang, Chunfeng Yuan, Yihua Huang

Proceedings of the 13th International Conference on Parallel and Distributed Computing, 2012

Performance Optimization for Short MapReduce Job Execution in Hadoop.

Jinshuang Yan, Xiaoliang Yang, Rong Gu, Chunfeng Yuan, Yihua Huang

Proceedings of the 2012 Second International Conference on Cloud and Green Computing, 2012

2011

Parallelization of BLAST with MapReduce for Long Sequence Alignment.

Xiao-liang Yang, Yu-Long Liu, Chunfeng Yuan, Yihua Huang

Proceedings of the Fourth International Symposium on Parallel Architectures, 2011

PSON: A Parallelized SON Algorithm with MapReduce for Mining Frequent Sets.

Tao Xiao, Chunfeng Yuan, Yihua Huang

Proceedings of the Fourth International Symposium on Parallel Architectures, 2011

2009

Improvements on Teaching Methods and Contents for the "Computer Organization and Architecture" Curriculum.

Chunfeng Yuan, Yihua Huang, Zhesheng Zhang, Guihai Chen, Wanchun Dou

Proceedings of the International Conference on Scalable Computing and Communications / Eighth International Conference on Embedded Computing, 2009