Fault Resilience of Structured P2P Systems. - Zhiyu Liu; Guihai Chen; Chunfeng Yuan; Sanglu Lu; Cheng-Zhong Xu 001 (WISE, 2004)

Human Action Recognition under Log-Euclidean Riemannian Metric. - Chunfeng Yuan; Weiming Hu; Xi Li 001; Stephen J. Maybank; Guan Luo (ACCV (1), 2009)

Human Action Recognition Using Pyramid Vocabulary Tree. - Chunfeng Yuan; Xi Li 001; Weiming Hu; Hanzi Wang (ACCV (3), 2009)

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)

Top-Down Cues for Event Recognition. - Li Li 010; Chunfeng Yuan; Weiming Hu; Bing Li 001 (ACCV (3), 2010)

Spatio-Temporal Proximity Distribution Kernels for Action Recognition. - Chunfeng Yuan; Weiming Hu; Hanzi Wang; Xi Li 001; Nianhua Xie (ICASSP, 2010)

Event Recognition Based on Top-Down Motion Attention. - Li Li 010; Weiming Hu; Bing Li 001; Chunfeng Yuan; Pengfei Zhu; Wanqing Li 001 (ICPR, 2010)

Prototype Learning Using Metric Learning Based Behavior Recognition. - Pengfei Zhu; Weiming Hu; Chunfeng Yuan; Li Li 010 (ICPR, 2010)

Space-time neighborhood based hierarchical descriptor for action recognition. - Haoran Wang 001; Chunfeng Yuan; Weiming Hu; Changyin Sun 001 (ACPR, 2011)

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)

Supervised class-specific dictionary learning for sparse modeling in action recognition. - Haoran Wang 001; Chunfeng Yuan; Weiming Hu; Changyin Sun 001 (Pattern Recognit., 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)

Discovering and Describing Activities by Trajectory Analysis. - Guodong Tian; Chunfeng Yuan; Weiming Hu; Ruiguang Hu (ACPR, 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)

Multi-task Sparse Learning with Beta Process Prior for Action Recognition. - Chunfeng Yuan; Weiming Hu; Guodong Tian; Shuang Yang; Haoran Wang 001 (CVPR, 2013)

3D R Transform on Spatio-temporal Interest Points for Action Recognition. - Chunfeng Yuan; Xi Li 001; Weiming Hu; Haibin Ling; Stephen John Maybank (CVPR, 2013)

Combining sparse appearance features and dense motion features via random forest for action detection. - Shuang Yang; Chunfeng Yuan; Haoran Wang 001; Weiming Hu (ICASSP, 2013)

Mining activities using sticky multimodal dual hierarchical Dirichlet process hidden Markov model. - Guodong Tian; Chunfeng Yuan; Weiming Hu; Zhaoquan Cai 001 (ICIP, 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)

Action recognition using linear dynamic systems. - Haoran Wang 001; Chunfeng Yuan; Guan Luo; Weiming Hu; Changyin Sun 001 (Pattern Recognit., 2013)

Human Action Recognition Based on Oriented Motion Salient Regions. - Baoxin Wu; Shuang Yang; Chunfeng Yuan; Weiming Hu; Fangshi Wang (ACCV Workshops (1), 2014)

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)

Multi-target Tracking with Motion Context in Tensor Power Iteration. - Xinchu Shi; Haibin Ling; Weiming Hu; Chunfeng Yuan; Junliang Xing (CVPR, 2014)

Human Action Recognition Based on Context-Dependent Graph Kernels. - Baoxin Wu; Chunfeng Yuan; Weiming Hu (CVPR, 2014)

A Hierarchical Model Based on Latent Dirichlet Allocation for Action Recognition. - Shuang Yang; Chunfeng Yuan; Weiming Hu; Xinmiao Ding (ICPR, 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)

Learning Human Actions by Combining Global Dynamics and Local Appearance. - Guan Luo; Shuang Yang; Guodong Tian; Chunfeng Yuan; Weiming Hu; Stephen J. Maybank (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Action Recognition Using Nonnegative Action Component Representation and Sparse Basis Selection. - Haoran Wang 001; Chunfeng Yuan; Weiming Hu; Haibin Ling; Wankou Yang; Changyin Sun 001 (IEEE Trans. Image Process., 2014)

Modeling Geometric-Temporal Context With Directional Pyramid Co-Occurrence for Action Recognition. - Chunfeng Yuan; Xi Li 001; Weiming Hu; Haibin Ling; Stephen J. Maybank (IEEE Trans. Image Process., 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)

Multi-feature max-margin hierarchical Bayesian model for action recognition. - Shuang Yang; Chunfeng Yuan; Baoxin Wu; Weiming Hu; Fangshi Wang (CVPR, 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)

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)

Online Human Action Detection Using Joint Classification-Regression Recurrent Neural Networks. - Yanghao Li; Cuiling Lan; Junliang Xing; Wenjun Zeng 001; Chunfeng Yuan; Jiaying Liu 001 (ECCV (7), 2016)

Graph Based Skeleton Motion Representation and Similarity Measurement for Action Recognition. - Pei Wang; Chunfeng Yuan; Weiming Hu; Bing Li 001; Yanning Zhang 001 (ECCV (7), 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)

Hierarchical Bayesian Multiple Kernel Learning Based Feature Fusion for Action Recognition. - Wen Sun; Chunfeng Yuan; Pei Wang; Shuang Yang; Weiming Hu; Zhaoquan Cai 001 (MPRSS, 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)

Fusing ℝ Features and Local Features with Context-Aware Kernels for Action Recognition. - Chunfeng Yuan; Baoxin Wu; Xi Li 001; Weiming Hu; Stephen J. Maybank; Fangshi Wang (Int. J. Comput. Vis., 2016)

Spatio-Temporal Self-Organizing Map Deep Network for Dynamic Object Detection from Videos. - Yang Du; Chunfeng Yuan; Bing Li 001; Weiming Hu; Stephen J. Maybank (CVPR, 2017)

SCNN: Sequential convolutional neural network for human action recognition in videos. - Hao Yang 010; Chunfeng Yuan; Junliang Xing; Weiming Hu (ICIP, 2017)

Diversity encouraging ensemble of convolutional networks for high performance action recognition. - Hao Yang 010; Chunfeng Yuan; Junliang Xing; Weiming Hu (ICIP, 2017)

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)

Sentiment analysis with the exploration of overall opinion sentences. - Xiaojia Pu; Gangshan Wu; Chunfeng Yuan (IJCNN, 2017)

Human activity prediction using temporally-weighted generalized time warping. - Haoran Wang 001; Wankou Yang; Chunfeng Yuan; Haibin Ling; Weiming Hu (Neurocomputing, 2017)

Multi-View Multi-Instance Learning Based on Joint Sparse Representation and Multi-View Dictionary Learning. - Bing Li 001; Chunfeng Yuan; Weihua Xiong; Weiming Hu; Houwen Peng; Xinmiao Ding; Steve J. Maybank (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Diagnosing deep learning models for high accuracy age estimation from a single image. - Junliang Xing; Kai Li 022; Weiming Hu; Chunfeng Yuan; Haibin Ling (Pattern Recognit., 2017)

Hierarchical Nonlinear Orthogonal Adaptive-Subspace Self-Organizing Map Based Feature Extraction for Human Action Recognition. - Yang Du; Chunfeng Yuan; Bing Li 001; Weiming Hu; Hao Yang 010; Zhikang Fu; Lili Zhao (AAAI, 2018)

Interaction-Aware Spatio-Temporal Pyramid Attention Networks for Action Classification. - Yang Du; Chunfeng Yuan; Bing Li 001; Lili Zhao; Yangxi Li; Weiming Hu (ECCV (16), 2018)

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)

Action unit detection and key frame selection for human activity prediction. - Haoran Wang 001; Chunfeng Yuan; Jifeng Shen; Wankou Yang; Haibin Ling (Neurocomputing, 2018)

Dual Sticky Hierarchical Dirichlet Process Hidden Markov Model and Its Application to Natural Language Description of Motions. - Weiming Hu; Guodong Tian; Yongxin Kang; Chunfeng Yuan; Stephen J. Maybank (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Context-Dependent Random Walk Graph Kernels and Tree Pattern Graph Matching Kernels With Applications to Action Recognition. - Weiming Hu; Baoxin Wu; Pei Wang; Chunfeng Yuan; Yangxi Li; Stephen J. Maybank (IEEE Trans. Image Process., 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)

Knowledge Distillation via Instance Relationship Graph. - Yufan Liu 001; Jiajiong Cao; Bing Li 001; Chunfeng Yuan; Weiming Hu; Yangxi Li; Yunqiang Duan (CVPR, 2019)

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)

Multimodal Semantic Attention Network for Video Captioning. - Liang Sun; Bing Li 001; Chunfeng Yuan; Zhengjun Zha; Weiming Hu (ICME, 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)

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)

VATEX Captioning Challenge 2019: Multi-modal Information Fusion and Multi-stage Training Strategy for Video Captioning. - Ziqi Zhang; Yaya Shi; Jiutong Wei; Chunfeng Yuan; Bing Li 001; Weiming Hu (CoRR, 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)

Exploring overall opinions for document level sentiment classification with structural SVM. - Xiaojia Pu; Gangshan Wu; Chunfeng Yuan (Multim. Syst., 2019)

User-aware topic modeling of online reviews. - Xiaojia Pu; Gangshan Wu; Chunfeng Yuan (Multim. Syst., 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)

Asymmetric 3D Convolutional Neural Networks for action recognition. - Hao Yang 010; Chunfeng Yuan; Bing Li 001; Yang Du; Junliang Xing; Weiming Hu; Stephen J. Maybank (Pattern Recognit., 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)

Object Relational Graph With Teacher-Recommended Learning for Video Captioning. - Ziqi Zhang; Yaya Shi; Chunfeng Yuan; Bing Li 001; Peijin Wang; Weiming Hu; Zheng-Jun Zha (CVPR, 2020)

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)

Graph convolutional network with structure pooling and joint-wise channel attention for action recognition. - Yuxin Chen; Gaoqun Ma; Chunfeng Yuan; Bing Li 001; Hui Zhang; Fangshi Wang; Weiming Hu (Pattern Recognit., 2020)

Anisotropic Convolution for Image Classification. - Wenjuan Li; Bing Li 001; Chunfeng Yuan; Yangxi Li; Haohao Wu; Weiming Hu; Fangshi Wang (IEEE Trans. Image Process., 2020)

STA-CNN: Convolutional Spatial-Temporal Attention Learning for Action Recognition. - Hao Yang 010; Chunfeng Yuan; Li Zhang 050; Yunda Sun; Weiming Hu; Stephen J. Maybank (IEEE Trans. Image Process., 2020)

DPFPS: Dynamic and Progressive Filter Pruning for Compressing Convolutional Neural Networks from Scratch. - Xiaofeng Ruan; Yufan Liu 001; Bing Li 001; Chunfeng Yuan; Weiming Hu (AAAI, 2021)

Open-Book Video Captioning With Retrieve-Copy-Generate Network. - Ziqi Zhang; Zhongang Qi; Chunfeng Yuan; Ying Shan; Bing Li 001; Ying Deng; Weiming Hu (CVPR, 2021)

Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition. - Yuxin Chen; Ziqi Zhang; Chunfeng Yuan; Bing Li 001; Ying Deng; Weiming Hu (ICCV, 2021)

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

Teaching undergraduates to build real computer systems. - Chunfeng Yuan; Xiaopeng Gao; Yu Chen; Yungang Bao (Commun. ACM, 2021)

PDNet: Towards Better One-stage Object Detection with Prediction Decoupling. - Li Yang; Yan Xu; Shaoru Wang; Chunfeng Yuan; Ziqi Zhang; Bing Li 001; Weiming Hu (CoRR, 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)

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)

Multi-Scale Low-Discriminative Feature Reactivation for Weakly Supervised Object Localization. - Bo Wang 147; Chunfeng Yuan; Bing Li 001; Xinmiao Ding; Zeya Li; Ying Wu 001; Weiming Hu (IEEE Trans. Image Process., 2021)

EDP: An Efficient Decomposition and Pruning Scheme for Convolutional Neural Network Compression. - Xiaofeng Ruan; Yufan Liu 001; Chunfeng Yuan; Bing Li 001; Weiming Hu; Yangxi Li; Stephen J. Maybank (IEEE Trans. Neural Networks Learn. 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)

Teacher-Guided Learning for Blind Image Quality Assessment. - Zewen Chen; Juan Wang 012; Bing Li 001; Chunfeng Yuan; Weihua Xiong; Rui Cheng; Weiming Hu (ACCV (3), 2022)

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)

EMScore: Evaluating Video Captioning via Coarse-Grained and Fine-Grained Embedding Matching. - Yaya Shi; Xu Yang 001; Haiyang Xu 001; Chunfeng Yuan; Bing Li 001; Weiming Hu; Zheng-Jun Zha (CVPR, 2022)

Improving Visual Grounding with Visual-Linguistic Verification and Iterative Reasoning. - Li Yang; Yan Xu; Chunfeng Yuan; Wei Liu 153; Bing Li 001; Weiming Hu (CVPR, 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)

Learnable Pixel Clustering Via Structure and Semantic Dual Constraints for Unsupervised Image Segmentation. - Bo Wang 147; Shiang Wang; Chunfeng Yuan; Zhonghai Wu; Bing Li 001; Weiming Hu; Jeffrey Xiong (ICIP, 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)

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)

CREATE: A Benchmark for Chinese Short Video Retrieval and Title Generation. - Ziqi Zhang; Yuxin Chen; Zongyang Ma; Zhongang Qi; Chunfeng Yuan; Bing Li 001; Ying Shan; Weiming Hu (CoRR, 2022)

PIC 4th Challenge: Semantic-Assisted Multi-Feature Encoding and Multi-Head Decoding for Dense Video Captioning. - Yifan Lu 001; Ziqi Zhang; Yuxin Chen; Chunfeng Yuan; Bing Li 001; Weiming Hu (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)

Interaction-Aware Spatio-Temporal Pyramid Attention Networks for Action Classification. - Weiming Hu; Haowei Liu; Yang Du; Chunfeng Yuan; Bing Li 001; Stephen J. Maybank (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

PDNet: Toward Better One-Stage Object Detection With Prediction Decoupling. - Li Yang; Yan Xu; Shaoru Wang; Chunfeng Yuan; Ziqi Zhang; Bing Li 001; Weiming Hu (IEEE Trans. Image Process., 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)

ViLEM: Visual-Language Error Modeling for Image-Text Retrieval. - Yuxin Chen; Zongyang Ma; Ziqi Zhang; Zhongang Qi; Chunfeng Yuan; Ying Shan; Bing Li 001; Weiming Hu; Xiaohu Qie; Jianping Wu (CVPR, 2023)

Order-Prompted Tag Sequence Generation for Video Tagging. - Zongyang Ma; Ziqi Zhang; Yuxin Chen; Zhongang Qi; Yingmin Luo; Zekun Li 006; Chunfeng Yuan; Bing Li 001; Xiaohu Qie; Ying Shan; Weiming Hu (ICCV, 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)

Learning Semantics-Grounded Vocabulary Representation for Video-Text Retrieval. - Yaya Shi; Haowei Liu; Haiyang Xu 001; Zongyang Ma; Qinghao Ye; Anwen Hu; Ming Yan 008; Ji Zhang 011; Fei Huang 002; Chunfeng Yuan; Bing Li 001; Weiming Hu; et al. (ACM Multimedia, 2023)

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

Exploiting Contextual Objects and Relations for 3D Visual Grounding. - Li Yang; Chunfeng Yuan; Ziqi Zhang; Zhongang Qi; Yan Xu; Wei Liu 153; Ying Shan; Bing Li 001; Weiping Yang; Peng Li; Yan Wang; Weiming Hu (NeurIPS, 2023)

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

Hierarchical Curriculum Learning for No-Reference Image Quality Assessment. - Juan Wang 012; Zewen Chen; Chunfeng Yuan; Bing Li 001; Wentao Ma; Weiming Hu (Int. J. Comput. Vis., 2023)

Learning Video-Text Aligned Representations for Video Captioning. - Yaya Shi; Haiyang Xu 001; Chunfeng Yuan; Bing Li 001; Weiming Hu; Zheng-Jun Zha (ACM Trans. Multim. Comput. Commun. Appl., 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)

TranSkeleton: Hierarchical Spatial-Temporal Transformer for Skeleton-Based Action Recognition. - Haowei Liu; Yongcheng Liu; Yuxin Chen; Chunfeng Yuan; Bing Li 001; Weiming Hu (IEEE Trans. Circuits Syst. Video Technol., 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)

Self-Prior Guided Pixel Adversarial Networks for Blind Image Inpainting. - Juan Wang 012; Chunfeng Yuan; Bing Li 001; Ying Deng; Weiming Hu; Stephen J. Maybank (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Set Prediction Guided by Semantic Concepts for Diverse Video Captioning. - Yifan Lu 001; Ziqi Zhang; Chunfeng Yuan; Peng Li; Yan Wang; Bing Li 001; Weiming Hu (AAAI, 2024)

Semantics-enhanced Cross-modal Masked Image Modeling for Vision-Language Pre-training. - Haowei Liu; Yaya Shi; Haiyang Xu 001; Chunfeng Yuan; Qinghao Ye; Chenliang Li; Ming Yan 008; Ji Zhang 011; Fei Huang 002; Bing Li 001; Weiming Hu (LREC/COLING, 2024)

Unifying Latent and Lexicon Representations for Effective Video-Text Retrieval. - Haowei Liu; Yaya Shi; Haiyang Xu 001; Chunfeng Yuan; Qinghao Ye; Chenliang Li; Ming Yan 008; Ji Zhang 011; Fei Huang 002; Bing Li 001; Weiming Hu (LREC/COLING, 2024)

How to Make Cross Encoder a Good Teacher for Efficient Image-Text Retrieval? - Yuxin Chen; Zongyang Ma; Ziqi Zhang; Zhongang Qi; Chunfeng Yuan; Bing Li 001; Junfu Pu; Ying Shan; Xiaojuan Qi 001; Weiming Hu (CVPR, 2024)

PromptIQA: Boosting the Performance and Generalization for No-Reference Image Quality Assessment via Prompts. - Zewen Chen; Haina Qin; Juan Wang 012; Chunfeng Yuan; Bing Li 001; Weiming Hu; Liang Wang 001 (ECCV (1), 2024)

EA-VTR: Event-Aware Video-Text Retrieval. - Zongyang Ma; Ziqi Zhang; Yuxin Chen; Zhongang Qi; Chunfeng Yuan; Bing Li 001; Yingmin Luo; Xu Li 015; Xiaojuan Qi 001; Ying Shan; Weiming Hu (ECCV (52), 2024)

MIBench: Evaluating Multimodal Large Language Models over Multiple Images. - Haowei Liu; Xi Zhang; Haiyang Xu 001; Yaya Shi; Chaoya Jiang; Ming Yan 008; Ji Zhang 011; Fei Huang 002; Chunfeng Yuan; Bing Li 001; Weiming Hu (EMNLP, 2024)

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

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

GMC-IQA: Exploiting Global-correlation and Mean-opinion Consistency for No-reference Image Quality Assessment. - Zewen Chen; Juan Wang 012; Bing Li 001; Chunfeng Yuan; Weiming Hu; Junxian Liu; Peng Li; Yan Wang; Youqun Zhang; Congxuan Zhang (CoRR, 2024)

Granularity Matters in Long-Tail Learning. - Shizhen Zhao; Xin Wen 004; Jiahui Liu 012; Chuofan Ma; Chunfeng Yuan; Xiaojuan Qi 001 (CoRR, 2024)

SEAGULL: No-reference Image Quality Assessment for Regions of Interest via Vision-Language Instruction Tuning. - Zewen Chen; Juan Wang 012; Wen Wang 022; Sunhan Xu; Hang Xiong; Yun Zeng; Jian Guo; Shuxun Wang; Chunfeng Yuan; Bing Li 001; Weiming Hu (CoRR, 2024)

mR2AG: Multimodal Retrieval-Reflection-Augmented Generation for Knowledge-Based VQA. - Tao Zhang; Ziqi Zhang; Zongyang Ma; Yuxin Chen; Zhongang Qi; Chunfeng Yuan; Bing Li 001; Junfu Pu; Yuxuan Zhao; Zehua Xie; Jin Ma 003; Ying Shan; et al. (CoRR, 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)

Chinese Title Generation for Short Videos: Dataset, Metric and Algorithm. - Ziqi Zhang; Zongyang Ma; Chunfeng Yuan; Yuxin Chen; Peijin Wang; Zhongang Qi; Chenglei Hao; Bing Li 001; Ying Shan; Weiming Hu; Stephen J. Maybank (IEEE Trans. Pattern Anal. Mach. Intell., 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)

Attentional Composition Networks for Long-Tailed Human Action Recognition. - Haoran Wang 001; Yajie Wang; Baosheng Yu; Yibing Zhan; Chunfeng Yuan; Wankou Yang (ACM Trans. Multim. Comput. Commun. Appl., 2024)

DARTScore: DuAl-Reconstruction Transformer for Video Captioning Evaluation. - Yuxin Chen; Ziqi Zhang; Zhongang Qi; Chunfeng Yuan; Jie Wang; Ying Shan; Bing Li 001; Weiming Hu; Xiaohu Qie; Jianping Wu (IEEE Trans. Circuits Syst. Video Technol., 2024)

Learning from Neighbors: Category Extrapolation for Long-Tail Learning. - Shizhen Zhao; Xin Wen 004; Jiahui Liu 012; Chuofan Ma; Chunfeng Yuan; Xiaojuan Qi 001 (CVPR, 2025)

PC-Agent: A Hierarchical Multi-Agent Collaboration Framework for Complex Task Automation on PC. - Haowei Liu; Xi Zhang; Haiyang Xu 001; Yuyang Wanyan; Junyang Wang 001; Ming Yan 008; Ji Zhang 011; Chunfeng Yuan; Changsheng Xu; Weiming Hu; Fei Huang 002 (CoRR, 2025)

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval. - Yuxin Yang; Yinan Zhou; Yuxin Chen; Ziqi Zhang; Zongyang Ma; Chunfeng Yuan; Bing Li 001; Lin Song; Jun Gao; Peng Li; Weiming Hu (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)

LaMPE: Length-aware Multi-grained Positional Encoding for Adaptive Long-context Scaling Without Training. - Sikui Zhang; Guangze Gao; Ziyun Gan; Chunfeng Yuan; Zefeng Lin; Houwen Peng; Bing Li 001; Weiming Hu (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)