Improvements on Teaching Methods and Contents for the "Computer Organization and Architecture" Curriculum. - Chunfeng Yuan; Yihua Huang 001; Zhesheng Zhang; Guihai Chen; Wanchun Dou (ScalCom-EmbeddedCom, 2009)

PSON: A Parallelized SON Algorithm with MapReduce for Mining Frequent Sets. - Tao Xiao; Chunfeng Yuan; Yihua Huang 001 (PAAP, 2011)

Parallelization of BLAST with MapReduce for Long Sequence Alignment. - Xiao-liang Yang; Yu-Long Liu; Chunfeng Yuan; Yihua Huang 001 (PAAP, 2011)

Performance Optimization for Short MapReduce Job Execution in Hadoop. - Jinshuang Yan; Xiaoliang Yang; Rong Gu; Chunfeng Yuan; Yihua Huang 001 (CGC, 2012)

Parallelized Near-Duplicate Document Detection Algorithm for Large Scale Chinese Web Pages. - Yongzhuang Wei; Shuai Wang; Chunfeng Yuan; Yihua Huang 001 (PDCAT, 2012)

Parallelized Similarity Flooding Algorithm for Processing Large Scale Graph Datasets with MapReduce. - Jian Zhang; Chunfeng Yuan; Yihua Huang 001 (PDCAT, 2012)

Layered and Weighted Tree Matching Algorithm for Automatic Web Data Records Recognition. - Shengsheng Shi; Fuliang Quan; Tao Xie; Chunfeng Yuan; Yihua Huang 001 (IEEE WISA, 2013)

Extraction Rule Language for Web Information Extraction and Integration. - Wu Wei; Shengsheng Shi; Yulong Liu; Haitao Wang 010; Chunfeng Yuan; Yihua Huang 001 (IEEE WISA, 2013)

A parallel computing platform for training large scale neural networks. - Rong Gu; Furao Shen; Yihua Huang 001 (IEEE BigData, 2013)

Parallel Approach and Platform for Large-Scale WEB Data Extraction. - Shen Yi; Shengsheng Shi; Haitao Wang 010; Wu Wei; Chunfeng Yuan; Yihua Huang 001 (CBD, 2013)

Large Scale Nearest Neighbors Search Based on Neighborhood Graph. - Wenhui Zhou; Chunfeng Yuan; Rong Gu; Yihua Huang 001 (CBD, 2013)

NEXIR: A Novel Web Extraction Rule Language toward a Three-Stage Web Data Extraction Model. - Shengsheng Shi; Wu Wei; Yulong Liu; Haitao Wang 010; Lei Luo; Chunfeng Yuan; Yihua Huang 001 (WISE (1), 2013)

CinHBa: A Secondary Index with Hotscore Caching Policy on Key-Value Data Store. - Wei Ge; Yihua Huang 001; Di Zhao; Shengmei Luo; Chunfeng Yuan; Wenhui Zhou; Yun Tang; Juan Zhou (ADMA, 2014)

Rainbow: A distributed and hierarchical RDF triple store with dynamic scalability. - Rong Gu; Wei Hu 007; Yihua Huang 001 (IEEE BigData, 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 001 (IPDPS Workshops, 2014)

YAFIM: A Parallel Frequent Itemset Mining Algorithm with Spark. - Hongjian Qiu; Rong Gu; Chunfeng Yuan; Yihua Huang 001 (IPDPS Workshops, 2014)

Multi-feature and DAG-Based Multi-tree Matching Algorithm for Automatic Web Data Mining. - Shengsheng Shi; Chengfei Liu; Chunfeng Yuan; Yihua Huang 001 (WI-IAT (2), 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 001 (J. Parallel Distributed Comput., 2014)

Efficient large scale distributed matrix computation with spark. - Rong Gu; Yun Tang; Zhaokang Wang; Shuai Wang; Xusen Yin; Chunfeng Yuan; Yihua Huang 001 (IEEE BigData, 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 001 (COMPSAC Workshops, 2015)

Parallel Training GBRT Based on KMeans Histogram Approximation for Big Data. - Rong Gu; Lei Jin; Yongwei Wu 002; Jingying Qu; Tao Wang; Xiaojun Wang; Chunfeng Yuan; Yihua Huang 001 (ICA3PP (2), 2015)

iPLAR: Towards Interactive Programming with Parallel Linear Algebra in R. - Zhaokang Wang; Shiqing Fan; Rong Gu; Chunfeng Yuan; Yihua Huang 001 (ICA3PP (4), 2015)

Cichlid: Efficient Large Scale RDFS/OWL Reasoning with Spark. - Rong Gu; Shanyong Wang; Fangfang Wang; Chunfeng Yuan; Yihua Huang 001 (IPDPS, 2015)

ZenLDA: An Efficient and Scalable Topic Model Training System on Distributed Data-Parallel Platform. - Bo Zhao 029; Hucheng Zhou; Guoqiang Li 008; Yihua Huang 001 (CoRR, 2015)

AutoRM: An effective approach for automatic Web data record mining. - Shengsheng Shi; Chengfei Liu; Yi Shen; Chunfeng Yuan; Yihua Huang 001 (Knowl. Based Syst., 2015)

An Adaptive Partition-Based Caching Approach for Efficient Range Queries on Key-Value Data. - Wei Ge; Min Chen; Chunfeng Yuan; Yihua Huang 001 (APWeb (2), 2016)

PTR: Phrase-Based Topical Ranking for Automatic Keyphrase Extraction in Scientific Publications. - Minmei Wang; Bo Zhao 029; Yihua Huang 001 (ICONIP (4), 2016)

Stock market prediction exploiting microblog sentiment analysis. - Bo Zhao 029; Yongji He; Chunfeng Yuan; Yihua Huang 001 (IJCNN, 2016)

A Time-Cost Based Automatic Scheduling Framework for Matrix Computation on Various Distributed Computing Platforms. - Rong Gu; Zhiqiang Liu; Chunfeng Yuan; Yihua Huang 001 (IPDPS Workshops, 2016)

Accelerating Big Data Applications on Tiered Storage System with Various Eviction Policies. - Peng Shu; Rong Gu; Qianhao Dong; Chunfeng Yuan; Yihua Huang 001 (Trustcom/BigDataSE/ISPA, 2016)

AutoMJ: Towards Efficient Multi-way Join Query on Distributed Data-Parallel Platform. - Guanghui Zhu; Xiaoqi Wu; Rong Gu; Chunfeng Yuan; Yihua Huang 001 (ICPADS, 2017)

Improving Execution Concurrency of Large-Scale Matrix Multiplication on Distributed Data-Parallel Platforms. - Rong Gu; Yun Tang; Chen Tian 001; Hucheng Zhou; Guanru Li; Xudong Zheng; Yihua Huang 001 (IEEE Trans. Parallel Distributed Syst., 2017)

Seal: Efficient Training Large Scale Statistical Machine Translation Models on Spark. - Rong Gu; Min Chen; Wenjia Yang; Chunfeng Yuan; Yihua Huang 001 (ICPADS, 2018)

Parallelizing Machine Learning Optimization Algorithms on Distributed Data-Parallel Platforms with Parameter Server. - Rong Gu; Shiqing Fan; Qiu Hu; Chunfeng Yuan; Yihua Huang 001 (ICPADS, 2018)

ZenLDA: Large-scale topic model training on distributed data-parallel platform. - Bo Zhao 029; Hucheng Zhou; Guoqiang Li 008; Yihua Huang 001 (Big Data Min. Anal., 2018)

Penguin: Efficient Query-Based Framework for Replaying Large Scale Historical Data. - Rong Gu; Yu-Fa Zhou; Zhaokang Wang; Chunfeng Yuan; Yihua Huang 001 (IEEE Trans. Parallel Distributed Syst., 2018)

BENU: Distributed Subgraph Enumeration with Backtracking-Based Framework. - Zhaokang Wang; Rong Gu; Weiwei Hu; Chunfeng Yuan; Yihua Huang 001 (ICDE, 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 001 (ICDE, 2019)

Push-Based Network-efficient Hadoop YARN Scheduling Mechanism for In-Memory Computing. - Rong Gu; Kaixuan Huang; Zhixiang Zhang; Chunfeng Yuan; Yihua Huang 001 (ICPADS, 2019)

BigSpa: An Efficient Interprocedural Static Analysis Engine in the Cloud. - Zhiqiang Zuo 002; Rong Gu; Xi Jiang; Zhaokang Wang; Yihua Huang 001; Linzhang Wang; Xuandong Li (IPDPS, 2019)

Adaptive cache policy scheduling for big data applications on distributed tiered storage system. - Rong Gu; Chongjie Li; Peng Shu; Chunfeng Yuan; Yihua Huang 001 (Concurr. Comput. Pract. Exp., 2019)

ForestLayer: Efficient training of deep forests on distributed task-parallel platforms. - Guanghui Zhu; Qiu Hu; Rong Gu; Chunfeng Yuan; Yihua Huang 001 (J. Parallel Distributed Comput., 2019)

DGST: Efficient and scalable suffix tree construction on distributed data-parallel platforms. - Guanghui Zhu; Chen Guo; Le Lu 002; Zhi Huang; Chunfeng Yuan; Rong Gu; Yihua Huang 001 (Parallel Comput., 2019)

Efficient and Scalable Functional Dependency Discovery on Distributed Data-Parallel Platforms. - Guanghui Zhu; Qian Wang; Qiwei Tang; Rong Gu; Chunfeng Yuan; Yihua Huang 001 (IEEE Trans. Parallel Distributed Syst., 2019)

Correlation-aware partitioning for skewed range query optimization. - Wei Ge; Xianxian Li; Chunfeng Yuan; Yihua Huang 001 (World Wide Web, 2019)

Semi-supervised Embedding Learning for High-dimensional Bayesian Optimization. - Jingfan Chen; Guanghui Zhu; Rong Gu; Chunfeng Yuan; Yihua Huang 001 (CoRR, 2020)

Distributed Subgraph Enumeration via Backtracking-based Framework. - Zhaokang Wang; Weiwei Hu; Chunfeng Yuan; Rong Gu; Yihua Huang 001 (CoRR, 2020)

DIFER: Differentiable Automated Feature Engineering. - Guanghui Zhu; Zhuoer Xu; Xu Guo; Chunfeng Yuan; Yihua Huang 001 (CoRR, 2020)

UniGPS: A Unified Programming Framework for Distributed Graph Processing. - Zhaokang Wang; Junhong Li; Yifan Qi; Guanghui Zhu; Chunfeng Yuan; Yihua Huang 001 (ICPADS, 2021)

TSSE-DMM: Topic Modeling for Short Texts Based on Topic Subdivision and Semantic Enhancement. - Chengcheng Mai; Xueming Qiu; Kaiwen Luo; Min Chen; Bo Zhao 029; Yihua Huang 001 (PAKDD (2), 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 001 (PAKDD (2), 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 001 (Neurocomputing, 2021)

SparkDQ: Efficient generic big data quality management on distributed data-parallel computation. - Rong Gu; Yang Qi; Tongyu Wu; Zhaokang Wang; Xiaolong Xu 001; Chunfeng Yuan; Yihua Huang 001 (J. Parallel Distributed Comput., 2021)

VSIM: Distributed local structural vertex similarity calculation on big graphs. - Zhaokang Wang; Shen Wang; Junhong Li; Chunfeng Yuan; Rong Gu; Yihua Huang 001 (J. Parallel Distributed Comput., 2021)

Improving in-memory file system reading performance by fine-grained user-space cache mechanisms. - Rong Gu; Chongjie Li; Haipeng Dai 001; Yili Luo; Xiaolong Xu 001; Shaohua Wan 001; Yihua Huang 001 (J. Syst. Archit., 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 001 (Softw. Pract. Exp., 2021)

Towards Efficient Large-Scale Interprocedural Program Static Analysis on Distributed Data-Parallel Computation. - Rong Gu; Zhiqiang Zuo 002; Xi Jiang; Han Yin; Zhaokang Wang; Linzhang Wang; Xuandong Li; Yihua Huang 001 (IEEE Trans. Parallel Distributed Syst., 2021)

Towards Efficient Distributed Subgraph Enumeration Via Backtracking-Based Framework. - Zhaokang Wang; Weiwei Hu; Guowang Chen; Chunfeng Yuan; Rong Gu; Yihua Huang 001 (IEEE Trans. Parallel Distributed Syst., 2021)

DIFER: Differentiable Automated Feature Engineering. - Guanghui Zhu; Zhuoer Xu; Chunfeng Yuan; Yihua Huang 001 (AutoML, 2022)

Towards Self-supervised Learning on Graphs with Heterophily. - Jingfan Chen; Guanghui Zhu; Yifan Qi; Chunfeng Yuan; Yihua Huang 001 (CIKM, 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 001; Yihua Huang 001 (CSE, 2022)

Efficient. Scalable and Robust Data Shuffle Service for Distributed MapReduce Computing on Cloud. - Rong Gu; Xu Huang; Haipeng Dai 001; Xiaoyu Geng; Xiaofei Chen; Yihua Huang 001; Fu Xiao 001; Guihai Chen (HPCC/DSS/SmartCity/DependSys, 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 001; Li Yi; Yu Ding; Guihai Chen; Yihua Huang 001 (ICDE, 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 001 (ICDE, 2022)

Knowledge-enhanced Black-box Attacks for Recommendations. - Jingfan Chen; Wenqi Fan; Guanghui Zhu; Xiangyu Zhao 001; Chunfeng Yuan; Qing Li 001; Yihua Huang 001 (KDD, 2022)

A2: Efficient Automated Attacker for Boosting Adversarial Training. - Zhuoer Xu; Guanghui Zhu; Changhua Meng; Shiwen Cui; Zhenzhe Ying; Weiqiang Wang 002; Ming Gu 011; Yihua Huang 001 (NeurIPS, 2022)

Evolutionary Automated Feature Engineering. - Guanghui Zhu; Shen Jiang; Xu Guo; Chunfeng Yuan; Yihua Huang 001 (PRICAI (1), 2022)

AutoGSR: Neural Architecture Search for Graph-based Session Recommendation. - Jingfan Chen; Guanghui Zhu; Haojun Hou; Chunfeng Yuan; Yihua Huang 001 (SIGIR, 2022)

NAS-CTR: Efficient Neural Architecture Search for Click-Through Rate Prediction. - Guanghui Zhu; Feng Cheng; Defu Lian; Chunfeng Yuan; Yihua Huang 001 (SIGIR, 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 001 (USENIX ATC, 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 001 (WSDM, 2022)

Transition Relation Aware Self-Attention for Session-based Recommendation. - Guanghui Zhu; Haojun Hou; Jingfan Chen; Chunfeng Yuan; Yihua Huang 001 (CoRR, 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 001 (Inf. Process. Manag., 2022)

One-Stage Tree: end-to-end tree builder and pruner. - Zhuoer Xu; Guanghui Zhu; Chunfeng Yuan; Yihua Huang 001 (Mach. Learn., 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 001 (Parallel Comput., 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 001; Guihai Chen; Kai Zhang; Yang Che; Yihua Huang 001 (IEEE Trans. Parallel Distributed Syst., 2022)

CoTE: A Flexible Method for Joint Learning of Topic and Embedding Models. - Bo Zhao 029; Chunfeng Yuan; Yihua Huang 001 (APWeb/WAIM (4), 2023)

AutoAC: Towards Automated Attribute Completion for Heterogeneous Graph Neural Network. - Guanghui Zhu; Zhennan Zhu; Wenjie Wang; Zhuoer Xu; Chunfeng Yuan; Yihua Huang 001 (ICDE, 2023)

STSD: Modeling Spatial Temporal Staticity and Dynamicity in Traffic Forecasting. - Guanghui Zhu; Haojun Hou; Peiliang Wang; Chunfeng Yuan; Yihua Huang 001 (ICDM, 2023)

Time and Cost-Efficient Cloud Data Transmission based on Serverless Computing Compression. - Rong Gu; Xiaofei Chen; Haipeng Dai 001; Shulin Wang; Zhaokang Wang; Yaofeng Tu; Yihua Huang 001; Guihai Chen (INFOCOM, 2023)

Magpie: Efficient Big Data Query System Parameter Optimization based on Pre-selection and Search Pruning Approach. - Rong Gu; Jiajia Wei; Xu Wang; Jiahui Wang; Haipeng Dai 001; Jiaqi Zheng 001; Baolong Mao; Yihua Huang 001 (IWQoS, 2023)

Operation-Level Early Stopping for Robustifying Differentiable NAS. - Shen Jiang; Zipeng Ji; Guanghui Zhu; Chunfeng Yuan; Yihua Huang 001 (NeurIPS, 2023)

AdaMCL: Adaptive Fusion Multi-View Contrastive Learning for Collaborative Filtering. - Guanghui Zhu; Wang Lu; Chunfeng Yuan; Yihua Huang 001 (SIGIR, 2023)

Adaptive Online Cache Capacity Optimization via Lightweight Working Set Size Estimation at Scale. - Rong Gu; Simian Li; Haipeng Dai 001; Hancheng Wang; Yili Luo; Bin Fan; Ran Ben Basat; Ke Wang; Zhenyu Song; Shouwei Chen; Beinan Wang; Yihua Huang 001; et al. (USENIX ATC, 2023)

ShadowAQP: Efficient Approximate Group-by and Join Query via Attribute-oriented Sample Size Allocation and Data Generation. - Rong Gu; Han Li; Haipeng Dai 001; Wenjie Huang; Jie Xue 003; Meng Li 010; Jiaqi Zheng 001; Haoran Cai; Yihua Huang 001; Guihai Chen (Proc. VLDB Endow., 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 001 (Neural Networks, 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 001 (World Wide Web (WWW), 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 001; Kai Zhang; Bin Fan; Haojun Hou; Li Yi; Yu Ding; Yihua Huang 001; Guihai Chen (IEEE Trans. Parallel Distributed Syst., 2023)

Boosting Graph Anomaly Detection with Adaptive Message Passing. - Jingyan Chen; Guanghui Zhu; Chunfeng Yuan; Yihua Huang 001 (ICLR, 2024)

AsCL: An Asymmetry-sensitive Contrastive Learning Method for Image-Text Retrieval with Cross-Modal Fusion. - Ziyu Gong; Chengcheng Mai; Yihua Huang 001 (ICME, 2024)

Mining Long Short-Term Evolution Patterns for Temporal Knowledge Graph Reasoning. - Fengyi Wang; Guanghui Zhu; Haojun Hou; Chunfeng Yuan; Yihua Huang 001 (ICPR (4), 2024)

Automatic Multi-Task Learning Framework with Neural Architecture Search in Recommendations. - Shen Jiang; Guanghui Zhu; Yue Wang 084; Chunfeng Yuan; Yihua Huang 001 (KDD, 2024)

ML2MG-VLCR: A Multimodal LLM Guided Zero-shot Method for Visio-linguistic Compositional Reasoning with Autoregressive Generative Language Model. - Ziyu Gong; Chengcheng Mai; Yihua Huang 001 (ICMR, 2024)

LLM-enhanced Cascaded Multi-level Learning on Temporal Heterogeneous Graphs. - Fengyi Wang; Guanghui Zhu; Chunfeng Yuan; Yihua Huang 001 (SIGIR, 2024)

SA-GNAS: Seed Architecture Expansion for Efficient Large-scale Graph Neural Architecture Search. - Guanghui Zhu; Zipeng Ji; Jingyan Chen; Limin Wang; Chunfeng Yuan; Yihua Huang 001 (CoRR, 2024)

iterPrompt: An iterative prompt-tuning method for nested relation extraction with dynamic assignment strategy. - Chengcheng Mai; Yuxiang Wang; Ziyu Gong; Hanxiang Wang; Kaiwen Luo; Chunfeng Yuan; Yihua Huang 001 (Expert Syst. Appl., 2024)

Simple and Efficient Partial Graph Adversarial Attack: A New Perspective. - Guanghui Zhu; Mengyu Chen; Chunfeng Yuan; Yihua Huang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Fluid-Shuttle: Efficient Cloud Data Transmission Based on Serverless Computing Compression. - Rong Gu; Shulin Wang; Haipeng Dai 001; Xiaofei Chen; Zhaokang Wang; Wenjie Bao; Jiaqi Zheng 001; Yaofeng Tu; Yihua Huang 001; Lianyong Qi; Xiaolong Xu 001; Wanchun Dou; et al. (IEEE/ACM Trans. Netw., 2024)

ACF-R+: An asymmetry-sensitive method for image-text retrieval enhanced by cross-modal fusion and re-ranking based on contrastive learning. - Ziyu Gong; Yihua Huang 001; Chunhua Yu; Peng Dai; Xing Ge; Yiming Shen; Yafei Liu (Neurocomputing, 2025)

KnowRA: Knowledge Retrieval Augmented Method for Document-level Relation Extraction with Comprehensive Reasoning Abilities. - Chengcheng Mai; Yuxiang Wang; Ziyu Gong; Hanxiang Wang; Yihua Huang 001 (CoRR, 2025)

PrunePEFT: Iterative Hybrid Pruning for Parameter-Efficient Fine-tuning of LLMs. - Tongzhou Yu; Zhuhao Zhang; Guanghui Zhu; Shen Jiang; Meikang Qiu; Yihua Huang 001 (CoRR, 2025)

BOASF: A Unified Framework for Speeding up Automatic Machine Learning via Adaptive Successive Filtering. - Guanghui Zhu; Xin Fang; Lei Wang; Wenzhong Chen; Rong Gu; Chunfeng Yuan; Yihua Huang 001 (CoRR, 2025)

MMRAG-DocQA: A Multi-Modal Retrieval-Augmented Generation Method for Document Question-Answering with Hierarchical Index and Multi-Granularity Retrieval. - Ziyu Gong; Yihua Huang 001; Chengcheng Mai (CoRR, 2025)

Boosting Temporal Graph Learning From Perspectives of Global and Local Structures. - Fengyi Wang; Guanghui Zhu; Hongqing Ding; Pengfei Zhang; Chunfeng Yuan; Yihua Huang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

HAGNN: Hybrid Aggregation for Heterogeneous Graph Neural Networks. - Guanghui Zhu; Zhennan Zhu; Hongyang Chen; Chunfeng Yuan; Yihua Huang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)