Yihua Huang - RankMe

119 papers A* 18A 5B 8C 3Journal 50Unranked 35

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ACF-R+: An asymmetry-sensitive method for image-text retrieval enhanced by cross-modal fusion and re-ranking based on contrastive learning. Neurocomputing Ziyu Gong, Yihua Huang, Chunhua yu, Peng Dai, Xing Ge, Yiming Shen, Yafei Liu
2025	—	`conf`	AffinityTune: A Prompt-Tuning Framework for Few-Shot Anomaly Detection on Graphs. KDD (2) Jingyan Chen, Guanghui Zhu, Guansong Pang, Chunfeng Yuan, Yihua Huang
2025	J	`jnl`	BOASF: A Unified Framework for Speeding up Automatic Machine Learning via Adaptive Successive Filtering. CoRR Guanghui Zhu, Xin Fang, Lei Wang, Wenzhong Chen, Rong Gu, Chunfeng Yuan, Yihua Huang
2025	J	`jnl`	Boosting Temporal Graph Learning From Perspectives of Global and Local Structures. IEEE Trans. Neural Networks Learn. Syst. Fengyi Wang, Guanghui Zhu, Hongqing Ding, Pengfei Zhang, Chunfeng Yuan, Yihua Huang
2025	—	`conf`	FHCF: Fully-Hyperbolic Symmetric Graph Learning for Collaborative Filtering. DASFAA (5) Guanghui Zhu, Wang Lu, Chunfeng Yuan, Yihua Huang
2025	J	`jnl`	HAGNN: Hybrid Aggregation for Heterogeneous Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Guanghui Zhu, Zhennan Zhu, Hongyang Chen, Chunfeng Yuan, Yihua Huang
2025	A*	`conf`	KnowRA: Knowledge Retrieval Augmented Method for Document-level Relation Extraction with Comprehensive Reasoning Abilities. IJCAI Chengcheng Mai, Yuxiang Wang, Ziyu Gong, Hanxiang Wang, Yihua Huang
2025	J	`jnl`	KnowRA: Knowledge Retrieval Augmented Method for Document-level Relation Extraction with Comprehensive Reasoning Abilities. CoRR Chengcheng Mai, Yuxiang Wang, Ziyu Gong, Hanxiang Wang, Yihua Huang
2025	J	`jnl`	MMRAG-DocQA: A Multi-Modal Retrieval-Augmented Generation Method for Document Question-Answering with Hierarchical Index and Multi-Granularity Retrieval. CoRR Ziyu Gong, Yihua Huang, Chengcheng Mai
2025	J	`jnl`	PromptCNER: A Segmentation-based Method for Few-shot Chinese NER with Prompt-tuning. ACM Trans. Asian Low Resour. Lang. Inf. Process. Chengcheng Mai, Yu Chen, Ziyu Gong, Hanxiang Wang, Mengchuan Qiu, Chunfeng Yuan, Yihua Huang
2025	J	`jnl`	PrunePEFT: Iterative Hybrid Pruning for Parameter-Efficient Fine-tuning of LLMs. CoRR Tongzhou Yu, Zhuhao Zhang, Guanghui Zhu, Shen Jiang, Meikang Qiu, Yihua Huang
2025	A*	`conf`	RZ-NAS: Enhancing LLM-guided Neural Architecture Search via Reflective Zero-Cost Strategy. ICML Zipeng Ji, Guanghui Zhu, Chunfeng Yuan, Yihua Huang
2025	J	`jnl`	Towards Efficient Serverless MapReduce Computing on Cloud-Native Platforms. Big Data Min. Anal. Xu Huang, Rong Gu, Yihua Huang
2024	A	`conf`	AsCL: An Asymmetry-sensitive Contrastive Learning Method for Image-Text Retrieval with Cross-Modal Fusion. ICME Ziyu Gong, Chengcheng Mai, Yihua Huang
2024	J	`jnl`	AsCL: An Asymmetry-sensitive Contrastive Learning Method for Image-Text Retrieval with Cross-Modal Fusion. CoRR Ziyu Gong, Chengcheng Mai, Yihua Huang
2024	A*	`conf`	Automatic Multi-Task Learning Framework with Neural Architecture Search in Recommendations. KDD Shen Jiang, Guanghui Zhu, Yue Wang, Chunfeng Yuan, Yihua Huang
2024	A*	`conf`	Boosting Graph Anomaly Detection with Adaptive Message Passing. ICLR Jingyan Chen, Guanghui Zhu, Chunfeng Yuan, Yihua Huang
2024	J	`jnl`	Fluid-Shuttle: Efficient Cloud Data Transmission Based on Serverless Computing Compression. IEEE/ACM Trans. Netw. Rong Gu, Shulin Wang, Haipeng Dai, Xiaofei Chen, Zhaokang Wang, Wenjie Bao, Jiaqi Zheng, Yaofeng Tu, Yihua Huang, Lianyong Qi, Xiaolong Xu, Wanchun Dou, Guihai Chen
2024	A*	`conf`	LLM-enhanced Cascaded Multi-level Learning on Temporal Heterogeneous Graphs. SIGIR Fengyi Wang, Guanghui Zhu, Chunfeng Yuan, Yihua Huang
2024	B	`conf`	ML ICMR Ziyu Gong, Chengcheng Mai, Yihua Huang
2024	—	`conf`	Mining Long Short-Term Evolution Patterns for Temporal Knowledge Graph Reasoning. ICPR (4) Fengyi Wang, Guanghui Zhu, Haojun Hou, Chunfeng Yuan, Yihua Huang
2024	J	`jnl`	SA-GNAS: Seed Architecture Expansion for Efficient Large-scale Graph Neural Architecture Search. CoRR Guanghui Zhu, Zipeng Ji, Jingyan Chen, Limin Wang, Chunfeng Yuan, Yihua Huang
2024	J	`jnl`	Simple and Efficient Partial Graph Adversarial Attack: A New Perspective. IEEE Trans. Knowl. Data Eng. Guanghui Zhu, Mengyu Chen, Chunfeng Yuan, Yihua Huang
2024	J	`jnl`	iterPrompt: An iterative prompt-tuning method for nested relation extraction with dynamic assignment strategy. Expert Syst. Appl. Chengcheng Mai, Yuxiang Wang, Ziyu Gong, Hanxiang Wang, Kaiwen Luo, Chunfeng Yuan, Yihua Huang
2023	A*	`conf`	AdaMCL: Adaptive Fusion Multi-View Contrastive Learning for Collaborative Filtering. SIGIR Guanghui Zhu, Wang Lu, Chunfeng Yuan, Yihua Huang
2023	—	`conf`	Adaptive Online Cache Capacity Optimization via Lightweight Working Set Size Estimation at Scale. USENIX ATC 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
2023	A*	`conf`	AutoAC: Towards Automated Attribute Completion for Heterogeneous Graph Neural Network. ICDE Guanghui Zhu, Zhennan Zhu, Wenjie Wang, Zhuoer Xu, Chunfeng Yuan, Yihua Huang
2023	J	`jnl`	AutoAC: Towards Automated Attribute Completion for Heterogeneous Graph Neural Network. CoRR Guanghui Zhu, Zhennan Zhu, Wenjie Wang, Zhuoer Xu, Chunfeng Yuan, Yihua Huang
2023	—	`conf`	CoTE: A Flexible Method for Joint Learning of Topic and Embedding Models. APWeb/WAIM (4) Bo Zhao, Chunfeng Yuan, Yihua Huang
2023	J	`jnl`	Coral: federated query join order optimization based on deep reinforcement learning. World Wide Web (WWW) Rong Gu, Yi Zhang, Liangliang Yin, Lingyi Song, Wenjie Huang, Chunfeng Yuan, Zhaokang Wang, Guanghui Zhu, Yihua Huang
2023	J	`jnl`	HAGNN: Hybrid Aggregation for Heterogeneous Graph Neural Networks. CoRR Guanghui Zhu, Zhennan Zhu, Hongyang Chen, Chunfeng Yuan, Yihua Huang
2023	J	`jnl`	High-Level Data Abstraction and Elastic Data Caching for Data-Intensive AI Applications on Cloud-Native Platforms. IEEE Trans. Parallel Distributed Syst. Rong Gu, Zhihao Xu, Yang Che, Xu Wang, Haipeng Dai, Kai Zhang, Bin Fan, Haojun Hou, Li Yi, Yu Ding, Yihua Huang, Guihai Chen
2023	B	`conf`	Magpie: Efficient Big Data Query System Parameter Optimization based on Pre-selection and Search Pruning Approach. IWQoS Rong Gu, Jiajia Wei, Xu Wang, Jiahui Wang, Haipeng Dai, Jiaqi Zheng, Baolong Mao, Yihua Huang
2023	J	`jnl`	Nested relation extraction via self-contrastive learning guided by structure and semantic similarity. Neural Networks Chengcheng Mai, Kaiwen Luo, Yuxiang Wang, Ziyan Peng, Yu Chen, Chunfeng Yuan, Yihua Huang
2023	A*	`conf`	Operation-Level Early Stopping for Robustifying Differentiable NAS. NeurIPS Shen Jiang, Zipeng Ji, Guanghui Zhu, Chunfeng Yuan, Yihua Huang
2023	—	`conf`	Raven: Benchmarking Monetary Expense and Query Efficiency of OLAP Engines on the Cloud. DASFAA (4) Tongyu Wu, Rong Gu, Yang Li, Hongbin Ma, Yi Chen, Ying Zhu, Xiaoxiang Yu, Tengting Xu, Yihua Huang
2023	A*	`conf`	STSD: Modeling Spatial Temporal Staticity and Dynamicity in Traffic Forecasting. ICDM Guanghui Zhu, Haojun Hou, Peiliang Wang, Chunfeng Yuan, Yihua Huang
2023	J	`jnl`	ShadowAQP: Efficient Approximate Group-by and Join Query via Attribute-oriented Sample Size Allocation and Data Generation. Proc. VLDB Endow. Rong Gu, Han Li, Haipeng Dai, Wenjie Huang, Jie Xue, Meng Li, Jiaqi Zheng, Haoran Cai, Yihua Huang, Guihai Chen
2023	J	`jnl`	Simple and Efficient Partial Graph Adversarial Attack: A New Perspective. CoRR Guanghui Zhu, Mengyu Chen, Chunfeng Yuan, Yihua Huang
2023	A*	`conf`	Time and Cost-Efficient Cloud Data Transmission based on Serverless Computing Compression. INFOCOM Rong Gu, Xiaofei Chen, Haipeng Dai, Shulin Wang, Zhaokang Wang, Yaofeng Tu, Yihua Huang, Guihai Chen
2022	A*	`conf`	A2: Efficient Automated Attacker for Boosting Adversarial Training. NeurIPS Zhuoer Xu, Guanghui Zhu, Changhua Meng, Shiwen Cui, Zhenzhe Ying, Weiqiang Wang, Ming Gu, Yihua Huang
2022	J	`jnl`	A2: Efficient Automated Attacker for Boosting Adversarial Training. CoRR Zhuoer Xu, Guanghui Zhu, Changhua Meng, Shiwen Cui, Zhenzhe Ying, Weiqiang Wang, Ming Gu, Yihua Huang
2022	A*	`conf`	AutoGSR: Neural Architecture Search for Graph-based Session Recommendation. SIGIR Jingfan Chen, Guanghui Zhu, Haojun Hou, Chunfeng Yuan, Yihua Huang
2022	—	`conf`	DIFER: Differentiable Automated Feature Engineering. AutoML Guanghui Zhu, Zhuoer Xu, Chunfeng Yuan, Yihua Huang
2022	—	`conf`	Efficient. Scalable and Robust Data Shuffle Service for Distributed MapReduce Computing on Cloud. HPCC/DSS/SmartCity/DependSys Rong Gu, Xu Huang, Haipeng Dai, Xiaoyu Geng, Xiaofei Chen, Yihua Huang, Fu Xiao, Guihai Chen
2022	—	`conf`	Evolutionary Automated Feature Engineering. PRICAI (1) Guanghui Zhu, Shen Jiang, Xu Guo, Chunfeng Yuan, Yihua Huang
2022	A*	`conf`	Fluid: Dataset Abstraction and Elastic Acceleration for Cloud-native Deep Learning Training Jobs. ICDE Rong Gu, Kai Zhang, Zhihao Xu, Yang Che, Bin Fan, Haojun Hou, Haipeng Dai, Li Yi, Yu Ding, Guihai Chen, Yihua Huang
2022	A*	`conf`	Knowledge-enhanced Black-box Attacks for Recommendations. KDD Jingfan Chen, Wenqi Fan, Guanghui Zhu, Xiangyu Zhao, Chunfeng Yuan, Qing Li, Yihua Huang
2022	J	`jnl`	Knowledge-enhanced Black-box Attacks for Recommendations. CoRR Jingfan Chen, Wenqi Fan, Guanghui Zhu, Xiangyu Zhao, Chunfeng Yuan, Qing Li, Yihua Huang
2022	J	`jnl`	Liquid: Intelligent Resource Estimation and Network-Efficient Scheduling for Deep Learning Jobs on Distributed GPU Clusters. IEEE Trans. Parallel Distributed Syst. Rong Gu, Yuquan Chen, Shuai Liu, Haipeng Dai, Guihai Chen, Kai Zhang, Yang Che, Yihua Huang
2022	—	`conf`	Meces: Latency-efficient Rescaling via Prioritized State Migration for Stateful Distributed Stream Processing Systems. USENIX ATC Rong Gu, Han Yin, Weichang Zhong, Chunfeng Yuan, Yihua Huang
2022	A*	`conf`	NAS-CTR: Efficient Neural Architecture Search for Click-Through Rate Prediction. SIGIR Guanghui Zhu, Feng Cheng, Defu Lian, Chunfeng Yuan, Yihua Huang
2022	J	`jnl`	Octopus-DF: Unified DataFrame-based cross-platform data analytic system. Parallel Comput. Rong Gu, Jun Shi, Xiaofei Chen, Zhaokang Wang, Yang Che, Kai Zhang, Yihua Huang
2022	J	`jnl`	One-Stage Tree: end-to-end tree builder and pruner. Mach. Learn. Zhuoer Xu, Guanghui Zhu, Chunfeng Yuan, Yihua Huang
2022	A*	`conf`	PSP: Progressive Space Pruning for Efficient Graph Neural Architecture Search. ICDE Guanghui Zhu, Wenjie Wang, Zhuoer Xu, Feng Cheng, Mengchuan Qiu, Chunfeng Yuan, Yihua Huang
2022	A	`conf`	Pretraining Multi-modal Representations for Chinese NER Task with Cross-Modality Attention. WSDM Chengcheng Mai, Mengchuan Qiu, Kaiwen Luo, Ziyan Peng, Jian Liu, Chunfeng Yuan, Yihua Huang
2022	J	`jnl`	Pronounce differently, mean differently: A multi-tagging-scheme learning method for Chinese NER integrated with lexicon and phonetic features. Inf. Process. Manag. Chengcheng Mai, Jian Liu, Mengchuan Qiu, Kaiwen Luo, Ziyan Peng, Chunfeng Yuan, Yihua Huang
2022	—	`conf`	Towards Efficient Reverse-time Migration Imaging Computation by Pipeline and Fine-grained Execution Parallelization. CSE Rong Gu, Bo Li, Dingjin Liu, Zhaokang Wang, Suhui Wangzhang, Shulin Wang, Haipeng Dai, Yihua Huang
2022	A	`conf`	Towards Self-supervised Learning on Graphs with Heterophily. CIKM Jingfan Chen, Guanghui Zhu, Yifan Qi, Chunfeng Yuan, Yihua Huang
2022	J	`jnl`	Transition Relation Aware Self-Attention for Session-based Recommendation. CoRR Guanghui Zhu, Haojun Hou, Jingfan Chen, Chunfeng Yuan, Yihua Huang
2021	J	`jnl`	Alchemy: Distributed financial quantitative analysis system with high-level programming model. Softw. Pract. Exp. Rong Gu, Zhixiang Zhang, Zhihao Xu, Zhaokang Wang, Kai Zhang, Chunfeng Yuan, Yihua Huang
2021	J	`jnl`	Empirical analysis of performance bottlenecks in graph neural network training and inference with GPUs. Neurocomputing Zhaokang Wang, Yunpan Wang, Chunfeng Yuan, Rong Gu, Yihua Huang
2021	J	`jnl`	Improving in-memory file system reading performance by fine-grained user-space cache mechanisms. J. Syst. Archit. Rong Gu, Chongjie Li, Haipeng Dai, Yili Luo, Xiaolong Xu, Shaohua Wan, Yihua Huang
2021	—	`conf`	Progressive AutoSpeech: An Efficient and General Framework for Automatic Speech Classification. PAKDD (2) Guanghui Zhu, Feng Cheng, Mengchuan Qiu, Zhuoer Xu, Wenjie Wang, Chunfeng Yuan, Yihua Huang
2021	J	`jnl`	SparkDQ: Efficient generic big data quality management on distributed data-parallel computation. J. Parallel Distributed Comput. Rong Gu, Yang Qi, Tongyu Wu, Zhaokang Wang, Xiaolong Xu, Chunfeng Yuan, Yihua Huang
2021	—	`conf`	TSSE-DMM: Topic Modeling for Short Texts Based on Topic Subdivision and Semantic Enhancement. PAKDD (2) Chengcheng Mai, Xueming Qiu, Kaiwen Luo, Min Chen, Bo Zhao, Yihua Huang
2021	J	`jnl`	Towards Efficient Distributed Subgraph Enumeration Via Backtracking-Based Framework. IEEE Trans. Parallel Distributed Syst. Zhaokang Wang, Weiwei Hu, Guowang Chen, Chunfeng Yuan, Rong Gu, Yihua Huang
2021	J	`jnl`	Towards Efficient Large-Scale Interprocedural Program Static Analysis on Distributed Data-Parallel Computation. IEEE Trans. Parallel Distributed Syst. Rong Gu, Zhiqiang Zuo, Xi Jiang, Han Yin, Zhaokang Wang, Linzhang Wang, Xuandong Li, Yihua Huang
2021	B	`conf`	UniGPS: A Unified Programming Framework for Distributed Graph Processing. ICPADS Zhaokang Wang, Junhong Li, Yifan Qi, Guanghui Zhu, Chunfeng Yuan, Yihua Huang
2021	J	`jnl`	UniGPS: A Unified Programming Framework for Distributed Graph Processing. CoRR Zhaokang Wang, Junhong Li, Yifan Qi, Guanghui Zhu, Chunfeng Yuan, Yihua Huang
2021	J	`jnl`	VSIM: Distributed local structural vertex similarity calculation on big graphs. J. Parallel Distributed Comput. Zhaokang Wang, Shen Wang, Junhong Li, Chunfeng Yuan, Rong Gu, Yihua Huang
2020	J	`jnl`	DIFER: Differentiable Automated Feature Engineering. CoRR Guanghui Zhu, Zhuoer Xu, Xu Guo, Chunfeng Yuan, Yihua Huang
2020	J	`jnl`	Distributed Subgraph Enumeration via Backtracking-based Framework. CoRR Zhaokang Wang, Weiwei Hu, Chunfeng Yuan, Rong Gu, Yihua Huang
2020	J	`jnl`	Semi-supervised Embedding Learning for High-dimensional Bayesian Optimization. CoRR Jingfan Chen, Guanghui Zhu, Rong Gu, Chunfeng Yuan, Yihua Huang
2019	J	`jnl`	Adaptive cache policy scheduling for big data applications on distributed tiered storage system. Concurr. Comput. Pract. Exp. Rong Gu, Chongjie Li, Peng Shu, Chunfeng Yuan, Yihua Huang
2019	A*	`conf`	BENU: Distributed Subgraph Enumeration with Backtracking-Based Framework. ICDE Zhaokang Wang, Rong Gu, Weiwei Hu, Chunfeng Yuan, Yihua Huang
2019	A	`conf`	BigSpa: An Efficient Interprocedural Static Analysis Engine in the Cloud. IPDPS Zhiqiang Zuo, Rong Gu, Xi Jiang, Zhaokang Wang, Yihua Huang, Linzhang Wang, Xuandong Li
2019	J	`jnl`	Correlation-aware partitioning for skewed range query optimization. World Wide Web Wei Ge, Xianxian Li, Chunfeng Yuan, Yihua Huang
2019	J	`jnl`	DGST: Efficient and scalable suffix tree construction on distributed data-parallel platforms. Parallel Comput. Guanghui Zhu, Chen Guo, Le Lu, Zhi Huang, Chunfeng Yuan, Rong Gu, Yihua Huang
2019	J	`jnl`	Efficient and Scalable Functional Dependency Discovery on Distributed Data-Parallel Platforms. IEEE Trans. Parallel Distributed Syst. Guanghui Zhu, Qian Wang, Qiwei Tang, Rong Gu, Chunfeng Yuan, Yihua Huang
2019	J	`jnl`	ForestLayer: Efficient training of deep forests on distributed task-parallel platforms. J. Parallel Distributed Comput. Guanghui Zhu, Qiu Hu, Rong Gu, Chunfeng Yuan, Yihua Huang
2019	A*	`conf`	HyMJ: A Hybrid Structure-Aware Approach to Distributed Multi-way Join Query. ICDE Guanghui Zhu, Xiaoqi Wu, Liangliang Yin, Haogang Wang, Rong Gu, Chunfeng Yuan, Yihua Huang
2019	B	`conf`	Push-Based Network-efficient Hadoop YARN Scheduling Mechanism for In-Memory Computing. ICPADS Rong Gu, Kaixuan Huang, Zhixiang Zhang, Chunfeng Yuan, Yihua Huang
2018	B	`conf`	Parallelizing Machine Learning Optimization Algorithms on Distributed Data-Parallel Platforms with Parameter Server. ICPADS Rong Gu, Shiqing Fan, Qiu Hu, Chunfeng Yuan, Yihua Huang
2018	J	`jnl`	Penguin: Efficient Query-Based Framework for Replaying Large Scale Historical Data. IEEE Trans. Parallel Distributed Syst. Rong Gu, Yu-Fa Zhou, Zhaokang Wang, Chunfeng Yuan, Yihua Huang
2018	B	`conf`	Seal: Efficient Training Large Scale Statistical Machine Translation Models on Spark. ICPADS Rong Gu, Min Chen, Wenjia Yang, Chunfeng Yuan, Yihua Huang
2018	J	`jnl`	ZenLDA: Large-scale topic model training on distributed data-parallel platform. Big Data Min. Anal. Bo Zhao, Hucheng Zhou, Guoqiang Li, Yihua Huang
2017	B	`conf`	AutoMJ: Towards Efficient Multi-way Join Query on Distributed Data-Parallel Platform. ICPADS Guanghui Zhu, Xiaoqi Wu, Rong Gu, Chunfeng Yuan, Yihua Huang
2017	J	`jnl`	Improving Execution Concurrency of Large-Scale Matrix Multiplication on Distributed Data-Parallel Platforms. IEEE Trans. Parallel Distributed Syst. Rong Gu, Yun Tang, Chen Tian, Hucheng Zhou, Guanru Li, Xudong Zheng, Yihua Huang
2016	—	`conf`	A Time-Cost Based Automatic Scheduling Framework for Matrix Computation on Various Distributed Computing Platforms. IPDPS Workshops Rong Gu, Zhiqiang Liu, Chunfeng Yuan, Yihua Huang
2016	—	`conf`	Accelerating Big Data Applications on Tiered Storage System with Various Eviction Policies. Trustcom/BigDataSE/ISPA Peng Shu, Rong Gu, Qianhao Dong, Chunfeng Yuan, Yihua Huang
2016	—	`conf`	An Adaptive Partition-Based Caching Approach for Efficient Range Queries on Key-Value Data. APWeb (2) Wei Ge, Min Chen, Chunfeng Yuan, Yihua Huang
2016	—	`conf`	PTR: Phrase-Based Topical Ranking for Automatic Keyphrase Extraction in Scientific Publications. ICONIP (4) Minmei Wang, Bo Zhao, Yihua Huang
2016	B	`conf`	Stock market prediction exploiting microblog sentiment analysis. IJCNN Bo Zhao, Yongji He, Chunfeng Yuan, Yihua Huang
2015	J	`jnl`	AutoRM: An effective approach for automatic Web data record mining. Knowl. Based Syst. Shengsheng Shi, Chengfei Liu, Yi Shen, Chunfeng Yuan, Yihua Huang
2015	A	`conf`	Cichlid: Efficient Large Scale RDFS/OWL Reasoning with Spark. IPDPS Rong Gu, Shanyong Wang, Fangfang Wang, Chunfeng Yuan, Yihua Huang
2015	—	`conf`	Efficient large scale distributed matrix computation with spark. IEEE BigData Rong Gu, Yun Tang, Zhaokang Wang, Shuai Wang, Xusen Yin, Chunfeng Yuan, Yihua Huang
2015	—	`conf`	Parallel Training GBRT Based on KMeans Histogram Approximation for Big Data. ICA3PP (2) Rong Gu, Lei Jin, Yongwei Wu, Jingying Qu, Tao Wang, Xiaojun Wang, Chunfeng Yuan, Yihua Huang
2015	—	`conf`	Unified Programming Model and Software Framework for Big Data Machine Learning and Data Analytics. COMPSAC Workshops Rong Gu, Yun Tang, Qianhao Dong, Zhaokang Wang, Zhiqiang Liu, Shuai Wang, Chunfeng Yuan, Yihua Huang
2015	J	`jnl`	ZenLDA: An Efficient and Scalable Topic Model Training System on Distributed Data-Parallel Platform. CoRR Bo Zhao, Hucheng Zhou, Guoqiang Li, Yihua Huang
2015	—	`conf`	iPLAR: Towards Interactive Programming with Parallel Linear Algebra in R. ICA3PP (4) Zhaokang Wang, Shiqing Fan, Rong Gu, Chunfeng Yuan, Yihua Huang
2014	C	`conf`	CinHBa: A Secondary Index with Hotscore Caching Policy on Key-Value Data Store. ADMA Wei Ge, Yihua Huang, Di Zhao, Shengmei Luo, Chunfeng Yuan, Wenhui Zhou, Yun Tang, Juan Zhou
2014	—	`conf`	Multi-feature and DAG-Based Multi-tree Matching Algorithm for Automatic Web Data Mining. WI-IAT (2) Shengsheng Shi, Chengfei Liu, Chunfeng Yuan, Yihua Huang
2014	—	`conf`	Rainbow: A distributed and hierarchical RDF triple store with dynamic scalability. IEEE BigData Rong Gu, Wei Hu, Yihua Huang
2014	J	`jnl`	SHadoop: Improving MapReduce performance by optimizing job execution mechanism in Hadoop clusters. J. Parallel Distributed Comput. Rong Gu, Xiaoliang Yang, Jinshuang Yan, Yuanhao Sun, Bing Wang, Chunfeng Yuan, Yihua Huang
2014	—	`conf`	Training Large Scale Deep Neural Networks on the Intel Xeon Phi Many-Core Coprocessor. IPDPS Workshops Lei Jin, Zhaokang Wang, Rong Gu, Chunfeng Yuan, Yihua Huang
2014	—	`conf`	YAFIM: A Parallel Frequent Itemset Mining Algorithm with Spark. IPDPS Workshops Hongjian Qiu, Rong Gu, Chunfeng Yuan, Yihua Huang
2013	—	`conf`	A parallel computing platform for training large scale neural networks. IEEE BigData Rong Gu, Furao Shen, Yihua Huang
2013	—	`conf`	Extraction Rule Language for Web Information Extraction and Integration. IEEE WISA Wu Wei, Shengsheng Shi, Yulong Liu, Haitao Wang, Chunfeng Yuan, Yihua Huang
2013	—	`conf`	Large Scale Nearest Neighbors Search Based on Neighborhood Graph. CBD Wenhui Zhou, Chunfeng Yuan, Rong Gu, Yihua Huang
2013	—	`conf`	Layered and Weighted Tree Matching Algorithm for Automatic Web Data Records Recognition. IEEE WISA Shengsheng Shi, Fuliang Quan, Tao Xie, Chunfeng Yuan, Yihua Huang
2013	—	`conf`	NEXIR: A Novel Web Extraction Rule Language toward a Three-Stage Web Data Extraction Model. WISE (1) Shengsheng Shi, Wu Wei, Yulong Liu, Haitao Wang, Lei Luo, Chunfeng Yuan, Yihua Huang
2013	—	`conf`	Parallel Approach and Platform for Large-Scale WEB Data Extraction. CBD Shen Yi, Shengsheng Shi, Haitao Wang, Wu Wei, Chunfeng Yuan, Yihua Huang
2012	C	`conf`	Parallelized Near-Duplicate Document Detection Algorithm for Large Scale Chinese Web Pages. PDCAT Yongzhuang Wei, Shuai Wang, Chunfeng Yuan, Yihua Huang
2012	C	`conf`	Parallelized Similarity Flooding Algorithm for Processing Large Scale Graph Datasets with MapReduce. PDCAT Jian Zhang, Chunfeng Yuan, Yihua Huang
2012	—	`conf`	Performance Optimization for Short MapReduce Job Execution in Hadoop. CGC Jinshuang Yan, Xiaoliang Yang, Rong Gu, Chunfeng Yuan, Yihua Huang
2011	—	`conf`	PSON: A Parallelized SON Algorithm with MapReduce for Mining Frequent Sets. PAAP Tao Xiao, Chunfeng Yuan, Yihua Huang
2011	—	`conf`	Parallelization of BLAST with MapReduce for Long Sequence Alignment. PAAP Xiao-Liang Yang, Yu-Long Liu, Chunfeng Yuan, Yihua Huang
2009	—	`conf`	Improvements on Teaching Methods and Contents for the "Computer Organization and Architecture" Curriculum. ScalCom-EmbeddedCom Chunfeng Yuan, Yihua Huang, Zhesheng Zhang, Guihai Chen, Wanchun Dou