default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJian Yu 0001
Person information
- affiliation: Beijing Jiaotong University, School of Computer and Information Technology, Beijing Key Lab of Traffic Data Analysis and Mining, China
- affiliation (former): Northern Jiaotong University, Department of Computer Science and Technology, Beijing, China
- affiliation (PhD 2000): Peking University, Department of Computer Science and Technology, Beijing, China
Other persons with the same name
- Jian Yu — disambiguation page
- Jian Yu 0002
![[0000-0002-2257-7279]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-2257-7279")
— Auckland University of Technology, School of Engineering, Computer and Mathematical Sciences, New Zealand (and 3 more) - Jian Yu 0003 — Tianjin University, College of Intelligence and Computing, China
- Jian Yu 0004 — Guizhou University, School of Mathematics and Statistics, Guiyang, China
- Jian Yu 0005 — Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China
- Jian Yu 0006 — Sun Yat-sen University, Guangdong Key Laboratory of Information Security, Guangzhou, China (and 2 more)
- Jian Yu 0007 — Nanjing University of Aeronautics and Astronautics, College of Computer Science and Technology / College of Artificial Intelligence, China
- Jian Yu 0008 — Southeast University, School of Automation, MOE Key Laboratory of Measurement and Control of Complex Systems of Engineering, Nanjing, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
Journal Articles
- 2024
[j96]Yimei Zheng, Caiyan Jia, Jian Yu:
Attributed graph clustering under the contrastive mechanism with cluster-preserving augmentation. Inf. Sci. 681: 121225 (2024)- [j95]Xiang Wang, Liping Jing, Huafeng Liu, Jian Yu, Weifeng Geng, Gencheng Ye:
Deep fair clustering with multi-level decorrelation. Inf. Sci. 681: 121252 (2024) - [j94]Haoyu Tian, Xiong He, Kuo Yang, Xinyu Dai, Yiming Liu, Fengjin Zhang, Zixin Shu, Qiguang Zheng, Shihua Wang, Jianan Xia, Tiancai Wen, Baoyan Liu, Jian Yu, Xuezhong Zhou:
DAPNet: multi-view graph contrastive network incorporating disease clinical and molecular associations for disease progression prediction. BMC Medical Informatics Decis. Mak. 24(1): 345 (2024) - [j93]Yu Chen, Liyan Ma, Liping Jing, Jian Yu:
BSDP: Brain-inspired Streaming Dual-level Perturbations for Online Open World Object Detection. Pattern Recognit. 152: 110472 (2024) - [j92]Xiang Wang, Liping Jing, Huafeng Liu, Jian Yu:
Structure-Driven Representation Learning for Deep Clustering. ACM Trans. Knowl. Discov. Data 18(1): 31:1-31:25 (2024) - [j91]Huafeng Liu, Liping Jing, Jian Yu, Michael K. Ng:
Learning Hierarchical Preferences for Recommendation With Mixture Intention Neural Stochastic Processes. IEEE Trans. Knowl. Data Eng. 36(7): 3237-3251 (2024) - 2023
- [j90]Yilin Lyu, Liping Jing, Jiaqi Wang, Mingzhe Guo, Xinyue Wang, Jian Yu:
Siamese transformer with hierarchical concept embedding for fine-grained image recognition. Sci. China Inf. Sci. 66(3) (2023) - [j89]Hongyan Ran, Caiyan Jia, Jian Yu:
A metric-learning method for few-shot cross-event rumor detection. Neurocomputing 533: 72-85 (2023) - [j88]Pengyu Xu, Mingxuan Xia, Lin Xiao, Huafeng Liu, Bing Liu, Liping Jing, Jian Yu:
Textual tag recommendation with multi-tag topical attention. Neurocomputing 537: 73-84 (2023) - [j87]Xinyue Wang, Liping Jing, Yilin Lyu, Mingzhe Guo, Jiaqi Wang, Huafeng Liu, Jian Yu, Tieyong Zeng:
Deep Generative Mixture Model for Robust Imbalance Classification. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2897-2912 (2023) - [j86]Yimei Zheng, Caiyan Jia, Jian Yu, Xuanya Li:
Deep embedded clustering with distribution consistency preservation for attributed networks. Pattern Recognit. 139: 109469 (2023) - [j85]Mengyuan Zhao, Xiaowen Huang, Lixi Zhu, Jitao Sang, Jian Yu:
Knowledge Graph-Enhanced Sampling for Conversational Recommendation System. IEEE Trans. Knowl. Data Eng. 35(10): 9890-9903 (2023) - [j84]Shangxi Wu, Jitao Sang, Kaiyuan Xu, Jiaming Zhang, Jian Yu:
Attention, Please! Adversarial Defense via Activation Rectification and Preservation. ACM Trans. Multim. Comput. Commun. Appl. 19(4): 142:1-142:18 (2023) - 2022
- [j83]Huafeng Liu, Jingxuan Wen, Liping Jing, Jian Yu:
Leveraging implicit social structures for recommendation via a Bayesian generative model. Sci. China Inf. Sci. 65(4) (2022) - [j82]Xin Liu, Kairui Zhou, Pengbo Yang, Liping Jing, Jian Yu:
Adaptive distribution calibration for few-shot learning via optimal transport. Inf. Sci. 611: 1-17 (2022) - [j81]Xin Huang, Boli Chen, Lin Xiao, Jian Yu, Liping Jing:
Label-Aware Document Representation via Hybrid Attention for Extreme Multi-Label Text Classification. Neural Process. Lett. 54(5): 3601-3617 (2022) - [j80]Kuo Yang, Yi Zheng, Kezhi Lu, Kai Chang, Ning Wang, Zixin Shu, Jian Yu, Baoyan Liu, Zhuye Gao, Xuezhong Zhou:
PDGNet: Predicting Disease Genes Using a Deep Neural Network With Multi-View Features. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 575-584 (2022) - [j79]Wanru Xu, Zhenjiang Miao, Jian Yu, Yi Tian, Lili Wan, Qiang Ji:
Bridging Video and Text: A Two-Step Polishing Transformer for Video Captioning. IEEE Trans. Circuits Syst. Video Technol. 32(9): 6293-6307 (2022) - [j78]Huafeng Liu, Liping Jing, Jingxuan Wen, Pengyu Xu, Jian Yu, Michael K. Ng:
Bayesian Additive Matrix Approximation for Social Recommendation. ACM Trans. Knowl. Discov. Data 16(1): 7:1-7:34 (2022) - [j77]Xiaowen Huang, Jitao Sang, Jian Yu, Changsheng Xu:
Learning to Learn a Cold-start Sequential Recommender. ACM Trans. Inf. Syst. 40(2): 30:1-30:25 (2022) - 2021
- [j76]Huafeng Liu, Liping Jing, Jingxuan Wen, Pengyu Xu, Jiaqi Wang, Jian Yu, Michael K. Ng:
Interpretable Deep Generative Recommendation Models. J. Mach. Learn. Res. 22: 202:1-202:54 (2021) - [j75]Jialin Hua, Jian Yu, Miin-Shen Yang:
Star-based learning correlation clustering. Pattern Recognit. 116: 107966 (2021) - [j74]Huafeng Liu, Liping Jing, Jian Yu, Michael K. Ng:
Social Recommendation With Learning Personal and Social Latent Factors. IEEE Trans. Knowl. Data Eng. 33(7): 2956-2970 (2021) - [j73]Wanru Xu, Jian Yu, Zhenjiang Miao, Lili Wan, Yi Tian, Qiang Ji:
Deep Reinforcement Polishing Network for Video Captioning. IEEE Trans. Multim. 23: 1772-1784 (2021) - [j72]Jiaming Zhang, Jitao Sang, Kaiyuan Xu, Shangxi Wu, Xian Zhao, Yanfeng Sun, Yongli Hu, Jian Yu:
Robust CAPTCHAs Towards Malicious OCR. IEEE Trans. Multim. 23: 2575-2587 (2021) - 2020
- [j71]Xinyue Wang, Bo Liu, Siyu Cao, Liping Jing, Jian Yu:
Important sampling based active learning for imbalance classification. Sci. China Inf. Sci. 63(8): 1-14 (2020) - [j70]Wenjie Ying, Jitao Sang, Jian Yu:
Locality-constrained discrete graph hashing. Neurocomputing 398: 566-573 (2020) - [j69]Jialin Hua, Jian Yu, Miin-Shen Yang:
Fast clustering for signed graphs based on random walk gap. Soc. Networks 60: 113-128 (2020) - [j68]Wanru Xu, Jian Yu, Zhenjiang Miao, Lili Wan, Qiang Ji:
Spatio-Temporal Deep Q-Networks for Human Activity Localization. IEEE Trans. Circuits Syst. Video Technol. 30(9): 2984-2999 (2020) - [j67]Wanru Xu, Zhenjiang Miao, Jian Yu, Qiang Ji:
Deep Reinforcement Learning for Weak Human Activity Localization. IEEE Trans. Image Process. 29: 1522-1535 (2020) - [j66]Feng Yang, Mahdieh Poostchi, Hang Yu, Zhou Zhou, Kamolrat Silamut, Jian Yu, Richard James Maude, Stefan Jäger, Sameer K. Antani:
Deep Learning for Smartphone-Based Malaria Parasite Detection in Thick Blood Smears. IEEE J. Biomed. Health Informatics 24(5): 1427-1438 (2020) - 2019
- [j65]Bo Liu, Liping Jing, Jia Li, Jian Yu, Alex Gittens, Michael W. Mahoney:
Group Collaborative Representation for Image Set Classification. Int. J. Comput. Vis. 127(2): 181-206 (2019) - [j64]Wanru Xu, Zhenjiang Miao, Jian Yu, Qiang Ji:
Action recognition and localization with spatial and temporal contexts. Neurocomputing 333: 351-363 (2019) - [j63]Dong Deng, Liping Jing, Jian Yu, Shaolong Sun, Michael K. Ng:
Sentiment Lexicon Construction With Hierarchical Supervision Topic Model. IEEE ACM Trans. Audio Speech Lang. Process. 27(4): 704-718 (2019) - [j62]Dong Deng, Liping Jing, Jian Yu, Shaolong Sun:
Sparse Self-Attention LSTM for Sentiment Lexicon Construction. IEEE ACM Trans. Audio Speech Lang. Process. 27(11): 1777-1790 (2019) - [j61]Yafang Li, Caiyan Jia, Xiangnan Kong, Liu Yang, Jian Yu:
Locally Weighted Fusion of Structural and Attribute Information in Graph Clustering. IEEE Trans. Cybern. 49(1): 247-260 (2019) - [j60]Kuo Yang, Ruyu Wang, Guangming Liu, Zixin Shu, Ning Wang, Runshun Zhang, Jian Yu, Jianxin Chen, Xiaodong Li, Xuezhong Zhou:
HerGePred: Heterogeneous Network Embedding Representation for Disease Gene Prediction. IEEE J. Biomed. Health Informatics 23(4): 1805-1815 (2019) - [j59]Huafeng Liu, Liping Jing, Yuhua Qian, Jian Yu:
Adaptive Local Low-rank Matrix Approximation for Recommendation. ACM Trans. Inf. Syst. 37(4): 45:1-45:34 (2019) - 2018
- [j58]Ye Liang, Congyan Lang, Jian Yu, Hongzhe Liu, Nan Ma:
Saliency Aggregation: Multifeature and Neighbor Based Salient Region Detection for Social Images. Appl. Comput. Intell. Soft Comput. 2018: 1014595:1-1014595:16 (2018) - [j57]Ruisi He, Bo Ai, Andreas F. Molisch, Gordon L. Stüber, Qingyong Li, Zhangdui Zhong, Jian Yu:
Clustering Enabled Wireless Channel Modeling Using Big Data Algorithms. IEEE Commun. Mag. 56(5): 177-183 (2018) - [j56]Kuo Yang, Ning Wang, Guangming Liu, Ruyu Wang, Jian Yu, Runshun Zhang, Jianxin Chen, Xuezhong Zhou:
Heterogeneous network embedding for identifying symptom candidate genes. J. Am. Medical Informatics Assoc. 25(11): 1452-1459 (2018) - [j55]Kuo Yang, Guangming Liu, Ning Wang, Runshun Zhang, Jian Yu, Jianxin Chen, Xuezhong Zhou:
Heterogeneous network propagation for herb target identification. BMC Medical Informatics Decis. Mak. 18(S-1): 27-37 (2018) - [j54]Lixia Tian, Qizhuo Li, Chaomurilige Wang, Jian Yu:
Changes in dynamic functional connections with aging. NeuroImage 172: 31-39 (2018) - [j53]Caiyan Jia, Matthew B. Carson, Xiaoyang Wang, Jian Yu:
Concept decompositions for short text clustering by identifying word communities. Pattern Recognit. 76: 691-703 (2018) - [j52]Jian Yu, Chaomurilige Wang, Miin-Shen Yang:
On convergence and parameter selection of the EM and DA-EM algorithms for Gaussian mixtures. Pattern Recognit. 77: 188-203 (2018) - 2017
- [j51]Bianfang Chai, Jinghong Wang, Jian Yu:
A parameter selection method of the deterministic anti-annealing algorithm for network exploring. Neurocomputing 226: 192-199 (2017) - [j50]Liu Yang, Liping Jing, Bo Liu, Jian Yu:
Common latent space identification for heterogeneous co-transfer clustering. Neurocomputing 269: 29-39 (2017) - [j49]Ye Liang, Congyan Lang, Jian Yu, Hongzhe Liu:
Salient object detection of social images based on semantic tag context. Int. J. Sens. Networks 23(4): 233-247 (2017) - [j48]Chaomurilige, Jian Yu, Miin-Shen Yang:
Deterministic annealing Gustafson-Kessel fuzzy clustering algorithm. Inf. Sci. 417: 435-453 (2017) - [j47]Jia Li, Chen-Yan Bai, Zhouchen Lin, Jian Yu:
Automatic Design of High-Sensitivity Color Filter Arrays With Panchromatic Pixels. IEEE Trans. Image Process. 26(2): 870-883 (2017) - [j46]Jia Li, Chen-Yan Bai, Zhouchen Lin, Jian Yu:
Optimized Color Filter Arrays for Sparse Representation-Based Demosaicking. IEEE Trans. Image Process. 26(5): 2381-2393 (2017) - [j45]Liping Jing, Chenyang Shen, Liu Yang, Jian Yu, Michael K. Ng:
Multi-Label Classification by Semi-Supervised Singular Value Decomposition. IEEE Trans. Image Process. 26(10): 4612-4625 (2017) - [j44]Ruisi He, Qingyong Li, Bo Ai, Yang Li-Ao Geng, Andreas F. Molisch, Vinod Kristem, Zhangdui Zhong, Jian Yu:
A Kernel-Power-Density-Based Algorithm for Channel Multipath Components Clustering. IEEE Trans. Wirel. Commun. 16(11): 7138-7151 (2017) - 2016
- [j43]Bo Liu, Liping Jing, Jian Yu, Jia Li:
Robust graph learning via constrained elastic-net regularization. Neurocomputing 171: 299-312 (2016) - [j42]Bojun Xie, Yi Liu, Hui Zhang, Jian Yu:
A novel supervised approach to learning efficient kernel descriptors for high accuracy object recognition. Neurocomputing 182: 94-101 (2016) - [j41]Liu Yang, Liping Jing, Michael K. Ng, Jian Yu:
A discriminative and sparse topic model for image classification and annotation. Image Vis. Comput. 51: 22-35 (2016) - [j40]Jia Li, Chen-Yan Bai, Zhouchen Lin, Jian Yu:
Penrose high-dynamic-range imaging. J. Electronic Imaging 25(3): 033024 (2016) - [j39]Ye Liang, Jian Yu, Congyan Lang, Hongzhe Liu:
显著区域检测技术研究 (Research on Salient Region Extraction Technology). 计算机科学 43(3): 27-32 (2016) - [j38]Chen-Yan Bai, Jia Li, Zhouchen Lin, Jian Yu:
Automatic Design of Color Filter Arrays in the Frequency Domain. IEEE Trans. Image Process. 25(4): 1793-1807 (2016) - [j37]Liu Yang, Liping Jing, Jian Yu, Michael K. Ng:
Learning Transferred Weights From Co-Occurrence Data for Heterogeneous Transfer Learning. IEEE Trans. Neural Networks Learn. Syst. 27(11): 2187-2200 (2016) - 2015
- [j36]Bojun Xie, Yi Liu, Hui Zhang, Jian Yu:
Efficient image representation for object recognition via pivots selection. Frontiers Comput. Sci. 9(3): 383-391 (2015) - [j35]Minming Ni, Jianping Pan, Lin Cai, Jian Yu, Hao Wu, Zhangdui Zhong:
Interference-Based Capacity Analysis for Vehicular Ad Hoc Networks. IEEE Commun. Lett. 19(4): 621-624 (2015) - [j34]Jie Zhu, Jian Yu, Chaomurilige Wang, Fanzhang Li:
Object recognition via contextual color attention. J. Vis. Commun. Image Represent. 27: 44-56 (2015) - [j33]Hui Zhang, Yi Liu, Bojun Xie, Jian Yu:
Spatially constrained sparse coding scheme for natural scene categorization. J. Vis. Commun. Image Represent. 28: 28-35 (2015) - [j32]Chaomurilige, Jian Yu, Miin-Shen Yang:
Analysis of Parameter Selection for Gustafson-Kessel Fuzzy Clustering Using Jacobian Matrix. IEEE Trans. Fuzzy Syst. 23(6): 2329-2342 (2015) - [j31]Chen-Yan Bai, Jia Li, Zhouchen Lin, Jian Yu, Yen-Wei Chen:
Penrose Demosaicking. IEEE Trans. Image Process. 24(5): 1672-1684 (2015) - 2014
- [j30]Jie Zhu, Jian Yu, Chaomurilige Wang, Fan-Zhang Li:
Colour combination attention for object recognition. IET Image Process. 8(9): 539-547 (2014) - [j29]Hui Zhang, Yi Liu, Bojun Xie, Jian Yu:
Orientation contrast model for boundary detection. J. Vis. Commun. Image Represent. 25(5): 774-784 (2014) - 2013
- [j28]Caiyan Jia, Matthew B. Carson, Jian Yu:
A fast weak motif-finding algorithm based on community detection in graphs. BMC Bioinform. 14: 227 (2013) - [j27]Yueyue Na, Jian Yu, Bianfang Chai:
Independent vector analysis using subband and subspace nonlinearity. EURASIP J. Adv. Signal Process. 2013: 74 (2013) - [j26]Ye Liang, Jian Yu, Hongzhe Liu, Zhifeng Xiao:
Multi-annulus partition based image representation for image classification. Int. J. Sens. Networks 13(1): 57-63 (2013) - [j25]Jian Yu, Miin-Shen Yang, Pengwei Hao:
Clustering construction on a multimodal probability model. Inf. Sci. 237: 211-220 (2013) - [j24]Yan Zhu, Jian Yu, Liping Jing:
A novel semi-supervised learning framework with simultaneous text representing. Knowl. Inf. Syst. 34(3): 547-562 (2013) - [j23]Liyan Ma, Jian Yu, Tieyong Zeng:
Sparse Representation Prior and Total Variation-Based Image Deblurring under Impulse Noise. SIAM J. Imaging Sci. 6(4): 2258-2284 (2013) - [j22]Liyan Ma, Lionel Moisan, Jian Yu, Tieyong Zeng:
A Dictionary Learning Approach for Poisson Image Deblurring. IEEE Trans. Medical Imaging 32(7): 1277-1289 (2013) - 2012
- [j21]Jiali Yun, Liping Jing, Jian Yu, Houkuan Huang:
A multi-layer text classification framework based on two-level representation model. Expert Syst. Appl. 39(2): 2035-2046 (2012) - [j20]Congyan Lang, Guangcan Liu, Jian Yu, Shuicheng Yan:
Saliency Detection by Multitask Sparsity Pursuit. IEEE Trans. Image Process. 21(3): 1327-1338 (2012) - [j19]Yu Xiao, Jian Yu:
Partitive clustering (K-means family). WIREs Data Mining Knowl. Discov. 2(3): 209-225 (2012) - 2011
- [j18]Jian Yu, Miin-Shen Yang, E. Stanley Lee:
Sample-weighted clustering methods. Comput. Math. Appl. 62(5): 2200-2208 (2011) - [j17]Jian Yu, Miin-Shen Yang, Pengwei Hao:
A Novel Multimodal Probability Model for Cluster Analysis. Fundam. Informaticae 111(1): 81-90 (2011) - [j16]Wen-Liang Hung, Miin-Shen Yang, Jian Yu, Chao-Ming Hwang:
Feature-Weighted Mountain Method with Its Application to Color Image Segmentation. Int. J. Comput. Intell. Syst. 4(5): 1002-1011 (2011) - [j15]Yu Xiao, Tieyong Zeng, Jian Yu, Michael K. Ng:
Restoration of images corrupted by mixed Gaussian-impulse noise via l1-l0 minimization. Pattern Recognit. 44(8): 1708-1720 (2011) - 2009
- [j14]Jian Yu, Shuigeng Zhou, Lipo Wang, Jingsheng Lei:
Advances in fuzzy sets and knowledge discovery. Comput. Math. Appl. 57(6): 865-866 (2009) - 2008
- [j13]Miin-Shen Yang, Kuo-Lung Wu, June-Nan Hsieh, Jian Yu:
Alpha-Cut Implemented Fuzzy Clustering Algorithms and Switching Regressions. IEEE Trans. Syst. Man Cybern. Part B 38(3): 588-603 (2008) - 2007
- [j12]Jian Yu, Miin-Shen Yang:
A Generalized Fuzzy Clustering Regularization Model With Optimality Tests and Model Complexity Analysis. IEEE Trans. Fuzzy Syst. 15(5): 904-915 (2007) - 2006
- [j11]Jian Yu, Cui-Xia Li:
Novel Cluster Validity Index for FCM Algorithm. J. Comput. Sci. Technol. 21(1): 137-140 (2006) - 2005
- [j10]Jian Yu:
General C-Means Clustering Model. IEEE Trans. Pattern Anal. Mach. Intell. 27(8): 1197-1211 (2005) - [j9]Kuo-Lung Wu, Jian Yu, Miin-Shen Yang:
A novel fuzzy clustering algorithm based on a fuzzy scatter matrix with optimality tests. Pattern Recognit. Lett. 26(5): 639-652 (2005) - [j8]Jian Yu, Miin-Shen Yang:
Optimality test for generalized FCM and its application to parameter selection. IEEE Trans. Fuzzy Syst. 13(1): 164-176 (2005) - [j7]Jian Yu, Miin-Shen Yang:
A note on the ICS algorithm with corrections and theoretical analysis. IEEE Trans. Image Process. 14(7): 973-978 (2005) - [j6]Jian Yu, Pengwei Hao:
Comments on "The multisynapse neural network and its application to fuzzy Clustering". IEEE Trans. Neural Networks 16(3): 777-778 (2005) - 2004
- [j5]Jian Yu, Qiansheng Cheng, Houkuan Huang:
Analysis of the weighting exponent in the FCM. IEEE Trans. Syst. Man Cybern. Part B 34(1): 634-639 (2004) - 2003
- [j4]Jian Yu, Hongbo Shi, Houkuan Huang, Xichen Sun, QianSheng Cheng:
Counterexamples to convergence theorem of maximum-entropy clustering algorithm. Sci. China Ser. F Inf. Sci. 46(5): 321-326 (2003) - 2002
- [j3]Jian Yu, Shengyuan Wang, Chongyi Yuan:
Solving Inheritance Anomaly with OMNets. J. Comput. Sci. Technol. 17(1): 101-105 (2002) - 2001
- [j2]Jian Yu, QianSheng Cheng:
The upper bound of the optimal number of clusters in fuzzy clustering. Sci. China Ser. F Inf. Sci. 44(2): 119-125 (2001) - [j1]Shengyuan Wang, Jian Yu, Chongyi Yuan:
A Pragmatic Behavior Subtyping Relation Based on Both States and Actions. J. Comput. Sci. Technol. 16(5): 418-425 (2001)
Conference and Workshop Papers
- 2024
- [c80]Pengyu Xu, Liping Jing, Jian Yu:
Enhancing Multi-Label Text Classification under Label-Dependent Noise: A Label-Specific Denoising Framework. EMNLP (Findings) 2024: 5674-5688 - [c79]Pengyu Xu, Mingyang Song, Ziyi Li, Sijin Lu, Liping Jing, Jian Yu:
Taming Prompt-Based Data Augmentation for Long-Tailed Extreme Multi-Label Text Classification. ICASSP 2024: 9981-9985 - [c78]Pengyu Xu, Mingyang Song, Linkaida Liu, Bing Liu, Hongjian Sun, Liping Jing, Jian Yu:
Noisy Multi-Label Text Classification via Instance-Label Pair Correction. NAACL-HLT (Findings) 2024: 1446-1458 - 2023
- [c77]Jiaming Zhang, Jitao Sang, Qi Yi, Yunfan Yang, Huiwen Dong, Jian Yu:
ImageNet Pre-training Also Transfers Non-robustness. AAAI 2023: 3436-3444 - [c76]Pengyu Xu, Lin Xiao, Bing Liu, Sijin Lu, Liping Jing, Jian Yu:
Label-Specific Feature Augmentation for Long-Tailed Multi-Label Text Classification. AAAI 2023: 10602-10610 - [c75]Huafeng Liu, Liping Jing, Jian Yu:
Neural Processes with Stability. NeurIPS 2023 - [c74]Xin Liu, Yilin Lyu, Liping Jing, Tieyong Zeng, Jian Yu:
Not All Tasks Are Equal: A Parameter-Efficient Task Reweighting Method for Few-Shot Learning. ECML/PKDD (2) 2023: 421-437 - [c73]Xin Liu, Shijing Wang, Kairui Zhou, Yilin Lyu, Mingyang Song, Liping Jing, Tieyong Zeng, Jian Yu:
vMF Loss: Exploring a Scattered Intra-class Hypersphere for Few-Shot Learning. ECML/PKDD (2) 2023: 454-470 - [c72]Yimei Zheng, Caiyan Jia, Jian Yu:
Contrastive Learning with Cluster-Preserving Augmentation for Attributed Graph Clustering. ECML/PKDD (1) 2023: 644-661 - 2022
- [c71]Yaogong Feng, Xiaowen Huang, Pengbo Yang, Jian Yu, Jitao Sang:
Non-generative Generalized Zero-shot Learning via Task-correlated Disentanglement and Controllable Samples Synthesis. CVPR 2022: 9336-9345 - 2020
- [c70]Xiaoyi Sun, Huafeng Liu, Liping Jing, Jian Yu:
Deep Generative Recommendation with Maximizing Reciprocal Rank. KSEM (2) 2020: 123-130 - [c69]Chengpeng Fu, Jinqiang Wang, Jitao Sang, Jian Yu, Changsheng Xu:
Beyond Literal Visual Modeling: Understanding Image Metaphor Based on Literal-Implied Concept Mapping. MMM (1) 2020: 111-123 - [c68]Huafeng Liu, Liping Jing, Jingxuan Wen, Zhicheng Wu, Xiaoyi Sun, Jiaqi Wang, Lin Xiao, Jian Yu:
Deep Global and Local Generative Model for Recommendation. WWW 2020: 551-561 - [c67]Xiaoyang Wang, Yao Ma, Yiqi Wang, Wei Jin, Xin Wang, Jiliang Tang, Caiyan Jia, Jian Yu:
Traffic Flow Prediction via Spatial Temporal Graph Neural Network. WWW 2020: 1082-1092 - 2019
- [c66]Huafeng Liu, Jingxuan Wen, Liping Jing, Jian Yu, Xiangliang Zhang, Min Zhang:
In2Rec: Influence-based Interpretable Recommendation. CIKM 2019: 1803-1812 - [c65]Wanru Xu, Jian Yu, Zhenjiang Miao, Lili Wan, Qiang Ji:
Prediction-CGAN: Human Action Prediction with Conditional Generative Adversarial Networks. ACM Multimedia 2019: 611-619 - [c64]Boyu Zhang, Xiangguo Ding, Xiaowen Huang, Yang Cao, Jitao Sang, Jian Yu:
Multi-source User Attribute Inference based on Hierarchical Auto-encoder. MMAsia 2019: 47:1-47:7 - [c63]Wenjin Sun, Yuhang Wang, Yuqi Gao, Zesong Li, Jitao Sang, Jian Yu:
Comprehensive Event Storyline Generation from Microblogs. MMAsia 2019: 48:1-48:7 - [c62]Huafeng Liu, Jingxuan Wen, Liping Jing, Jian Yu:
Deep generative ranking for personalized recommendation. RecSys 2019: 34-42 - 2018
- [c61]Chen Min, MiaoMiao Cheng, Jian Yu, Liping Jing:
Partial Multi-view Clustering via Auto-Weighting Similarity Completion. CCBR 2018: 214-222 - [c60]Dong Deng, Liping Jing, Jian Yu, Shaolong Sun, Haofei Zhou:
Neural gaussian mixture model for review-based rating prediction. RecSys 2018: 113-121 - 2017
- [c59]Guangming Liu, Bianfang Chai, Kuo Yang, Xuezhong Zhou, Jian Yu:
Overlapping Functional Modules Detection in PPI Network with Pairwise Constrained Nonnegative Matrix Tri-Factorization. BCB 2017: 756-757 - [c58]Ruisi He, Qingyong Li, Bo Ai, Yang Li-Ao Geng, Andreas F. Molisch, Vinod Kristem, Zhangdui Zhong, Jian Yu:
An Automatic Clustering Algorithm for Multipath Components Based on Kernel-Power-Density. WCNC 2017: 1-6 - 2016
- [c57]Chaomurilige Wang, Jian Yu, Jie Zhu:
Analysis of Convergence Properties for Gath-Geva Clustering Using Jacobian Matrix. CCPR (1) 2016: 650-662 - [c56]Ruisi He, Wei Chen, Bo Ai, Andreas F. Molisch, Wei Wang, Zhangdui Zhong, Jian Yu, Seun Sangodoyin:
A Sparsity-Based Clustering Framework for Radio Channel Impulse Responses. VTC Spring 2016: 1-5 - 2015
- [c55]Liping Jing, Liu Yang, Jian Yu, Michael K. Ng:
Semi-supervised low-rank mapping learning for multi-label classification. CVPR 2015: 1483-1491 - [c54]Liu Yang, Liping Jing, Jian Yu:
Common Latent Space Identification for Heterogeneous Co-transfer Clustering. IScIDE (2) 2015: 395-406 - 2014
- [c53]Minming Ni, Jian Yu, Hao Wu, Zhangdui Zhong:
Analysis for interference-based capacity of vehicular ad hoc networks. ICCVE 2014: 534-539 - [c52]Minming Ni, Jian Yu, Hao Wu, Zhangdui Zhong:
Signal-to-interference-ratio based capacity analysis for vehicular ad hoc networks. ITSC 2014: 751-756 - [c51]Liping Jing, Dong Deng, Jian Yu:
Weighting Exponent Selection of Fuzzy C-Means via Jacobian Matrix. KSEM 2014: 115-126 - [c50]Bo Liu, Liping Jing, Jian Yu, Jia Li:
Constrained Least Squares Regression for Semi-Supervised Learning. PAKDD (2) 2014: 110-121 - [c49]Liu Yang, Liping Jing, Jian Yu:
Heterogeneous Co-transfer Spectral Clustering. RSKT 2014: 352-363 - 2013
- [c48]Xing Li, Xuezhong Zhou, Yonghong Peng, Runshun Zhang, Jingqing Hu, Jian Yu, Baoyan Liu:
Integrating phenotype-genotype data for prioritization of candidate symptom genes. BIBM 2013: 279-280 - [c47]Lei Zhang, Yi-guo Wang, Qiming Zhang, Xuezhong Zhou, Jian Yu, Xiuhua Guo, Xia Li:
Frequent itemsets compressing based on minimum cover: An efficient method for mining medication law of Chinese herbs. BIBM 2013: 315-318 - [c46]Bojun Xie, Hui Zhang, Jian Yu:
Spatial correlogram between codewords: an effective representation for image classification. ICDIP 2013: 88782V - [c45]Hui Zhang, Yi Liu, Bojun Xie, Jian Yu:
A boosting approach to learning receptive fields for scene categorization. ICIP 2013: 265-269 - [c44]Bojun Xie, Yi Liu, Hui Zhang, Jian Yu:
Efficient kernel descriptor for image categorization via pivots selection. ICIP 2013: 3479-3483 - [c43]Qian Li, Liping Jing, Jian Yu:
Adaptive Graph Constrained NMF for Semi-Supervised Learning. PSL 2013: 36-48 - 2012
- [c42]Liping Jing, Jian Yu, Tieyong Zeng, Yan Zhu:
Semi-supervised Clustering via Constrained Symmetric Non-negative Matrix Factorization. Brain Informatics 2012: 309-319 - [c41]Xiangkun Zhao, Jian Yu:
Color Constancy under Mixed Illuminants Using Image Segmentation and Fuzzy C-Means. CCPR 2012: 430-437 - [c40]Hui Zhang, Bojun Xie, Jian Yu:
An improved surround suppression model based on orientation contrast for boundary detection. ICPR 2012: 3086-3089 - [c39]Yueyue Na, Jian Yu:
Kernel and spectral methods for solving the permutation problem in frequency domain BSS. IJCNN 2012: 1-8 - 2011
- [c38]Yu Xiao, Jian Yu, Shu Gong:
Intrinsic Dimension Induced Similarity Measure for Clustering. ADMA (2) 2011: 110-123 - [c37]Ninglin Du, Xuezhong Zhou, Runshun Zhang, Caiyan Jia, Jian Yu, Baoyan Liu:
Multiscale backbone based network comparison algorithm for effective herbal interaction analysis. BMEI 2011: 1757-1762 - [c36]Yan Zhu, Liping Jing, Jian Yu:
Text Clustering via Constrained Nonnegative Matrix Factorization. ICDM 2011: 1278-1283 - [c35]Liyan Ma, Jian Yu:
Texture segmentation based on local feature histograms. ICIP 2011: 3349-3352 - [c34]Jian Yu, Caiyan Jia:
Data Clustering by Scaled Adjacency Matrix. KSEM 2011: 196-207 - [c33]Jiali Yun, Liping Jing, Jian Yu, Houkuan Huang:
Unsupervised Feature Weighting Based on Local Feature Relatedness. PAKDD (1) 2011: 38-49 - [c32]Liping Jing, Jiali Yun, Jian Yu, Joshua Zhexue Huang:
High-Order Co-clustering Text Data on Semantics-Based Representation Model. PAKDD (1) 2011: 171-182 - [c31]Liping Jing, Jian Yu:
Text Clustering Based on Granular Computing and Wikipedia. RSKT 2011: 679-688 - [c30]Jian Yu, Liping Jing:
Least Absolute Deviation Cut. RSKT 2011: 743-752 - 2010
- [c29]Jiali Yun, Liping Jing, Jian Yu, Houkuan Huang:
Semantics-Based Representation Model for Multi-layer Text Classification. KES (2) 2010: 1-10 - [c28]Caiyan Jia, Yawen Jiang, Jian Yu:
Affinity Propagation on Identifying Communities in Social and Biological Networks. KSEM 2010: 597-602 - [c27]Wen-Liang Hung, Miin-Shen Yang, Jian Yu, Chao-Ming Hwang:
Feature-Weighted Mountain Method with Its Application to Color Image Segmentation. RSKT 2010: 537-544 - [c26]Liping Jing, Jiali Yun, Jian Yu, Houkuan Huang:
Text Clustering via Term Semantic Units. Web Intelligence 2010: 417-420 - 2009
- [c25]Yan Zhu, Jian Yu, Caiyan Jia:
Initializing K-means Clustering Using Affinity Propagation. HIS (1) 2009: 338-343 - [c24]Dongju Liu, Jian Yu:
Otsu Method and K-means. HIS (1) 2009: 344-349 - [c23]Jian Yu, Jihong Guan, Jianliang Xu, Shuigeng Zhou:
Towards Keyword Search over Relational Databases in DHT Networks. ICPADS 2009: 448-455 - [c22]Jian Yu, Caiyan Jia:
Convergence Analysis of Affinity Propagation. KSEM 2009: 54-65 - [c21]Yan Zhu, Liping Jing, Jian Yu:
New Labeling Strategy for Semi-supervised Document Categorization. KSEM 2009: 134-145 - [c20]Jian Yu, Miin-Shen Yang, Pengwei Hao:
A Novel Multimodal Probability Model for Cluster Analysis. RSKT 2009: 397-404 - 2007
- [c19]Zejin Jason Ding, Jian Yu, Yanqing Zhang:
A New Improved K-Means Algorithm with Penalized Term. GrC 2007: 313-317 - [c18]Jian Yu, Pengwei Hao:
The Worse Clustering Performance Analysis. GrC 2007: 437-441 - [c17]Fengzhan Tian, Haisheng Li, Zhihai Wang, Jian Yu:
Learning Bayesian Networks Based on a Mutual Information Scoring Function and EMI Method. ISNN (2) 2007: 414-423 - [c16]Yan Li, Jian Yu, Pengwei Hao, Zhulin Li:
Clustering Ensembles Based on Normalized Edges. PAKDD 2007: 664-671 - [c15]Fengzhan Tian, Feng Liu, Zhihai Wang, Jian Yu:
Learning Bayesian Networks with Combination of MRMR Criterion and EMI Method. PAKDD 2007: 801-808 - 2006
- [c14]Cui-Xia Li, Jian Yu:
A Novel Fuzzy C-Means Clustering Algorithm. RSKT 2006: 510-515 - 2005
- [c13]Fengzhan Tian, Shengfeng Tian, Jian Yu, Houkuan Huang:
An Improved Bayesian Network Learning Algorithm Based on Dependency Analysis. CIS (1) 2005: 33-40 - [c12]Fengzhan Tian, Zhihai Wang, Jian Yu, Houkuan Huang:
Learning TAN from Incomplete Data. ICIC (1) 2005: 495-504 - 2004
- [c11]Ying Chen, Pengwei Hao, Jian Yu:
Shear-resize factorizations for fast multi-modal volume registration. ICIP 2004: 1085-1088 - [c10]Jian Yu, Pengwei Hao:
On Soft Learning Vector Quantization Based on Reformulation. ISNN (1) 2004: 168-173 - [c9]Shengfeng Tian, Jian Yu, Chuanhuan Yin:
Anomaly Detection Using Support Vector Machines. ISNN (1) 2004: 592-597 - [c8]Jian Yu, Houkuan Huang, Shengfeng Tian:
Cluster Validity and Stability of Clustering Algorithms. SSPR/SPR 2004: 957-965 - 2003
- [c7]Miin-Shen Yang, Kuo-Lung Wu, Jian Yu:
A novel fuzzy clustering algorithm. CIRA 2003: 647-652 - [c6]Jian Yu:
General c-Means Clustering Model and Its Application. CVPR (2) 2003: 122-127 - [c5]Jian Yu, Houkuan Huang:
A new weighting fuzzy c-means algorithm. FUZZ-IEEE 2003: 896-901 - [c4]Jian Yu, Miin-Shen Yang:
A Study on a Generalized FCM. RSFDGrC 2003: 390-393 - [c3]Kai Li, Houkuan Huang, Jian Yu:
Fuzzy Multiple Synapses Neural Network and Fuzzy Clustering. RSFDGrC 2003: 394-397 - 2002
- [c2]Jian Yu, Houkuan Huang, Shengfeng Tian:
An efficient optimality test for the fuzzy c-means algorithm. FUZZ-IEEE 2002: 98-103 - 2001
- [c1]Shengyuan Wang, Jian Yu, Chongyi Yuan:
A Net-Based Multi-tier Behavior Inheritance Modelling Method. Ershov Memorial Conference 2001: 279-286
Editorship
- 2014
- [e7]Robert Buchmann, Claudiu Vasile Kifor, Jian Yu:
Knowledge Science, Engineering and Management - 7th International Conference, KSEM 2014, Sibiu, Romania, October 16-18, 2014. Proceedings. Lecture Notes in Computer Science 8793, Springer 2014, ISBN 978-3-319-12095-9 [contents] - 2010
- [e6]Jian Yu, Salvatore Greco, Pawan Lingras, Guoyin Wang, Andrzej Skowron:
Rough Set and Knowledge Technology - 5th International Conference, RSKT 2010, Beijing, China, October 15-17, 2010. Proceedings. Lecture Notes in Computer Science 6401, Springer 2010, ISBN 978-3-642-16247-3 [contents] - 2008
- [e5]Jun Ma, Yilong Yin, Jian Yu, Shuigeng Zhou:
Fifth International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008, 18-20 October 2008, Jinan, Shandong, China, Proceedings, Volume 1. IEEE Computer Society 2008, ISBN 978-0-7695-3305-6 [contents] - [e4]Jun Ma, Yilong Yin, Jian Yu, Shuigeng Zhou:
Fifth International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008, 18-20 October 2008, Jinan, Shandong, China, Proceedings, Volume 2. IEEE Computer Society 2008 [contents] - [e3]Jun Ma, Yilong Yin, Jian Yu, Shuigeng Zhou:
Fifth International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008, 18-20 October 2008, Jinan, Shandong, China, Proceedings, Volume 3. IEEE Computer Society 2008 [contents] - [e2]Jun Ma, Yilong Yin, Jian Yu, Shuigeng Zhou:
Fifth International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008, 18-20 October 2008, Jinan, Shandong, China, Proceedings, Volume 4. IEEE Computer Society 2008 [contents] - [e1]Jun Ma, Yilong Yin, Jian Yu, Shuigeng Zhou:
Fifth International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008, 18-20 October 2008, Jinan, Shandong, China, Proceedings, Volume 5. IEEE Computer Society 2008 [contents]
Data and Artifacts
- 2021
- [d1]Feng Yang, Mahdieh Poostchi, Hang Yu, Zhou Zhou, Kamolrat Silamut, Jian Yu, Richard James Maude, Stefan Jaeger, Sameer K. Antani:
Malaria Thick Blood Smears. IEEE DataPort, 2021
Informal and Other Publications
- 2024
- [i14]Sijin Lu, Pengyu Xu, Bing Liu, Hongjian Sun, Liping Jing, Jian Yu:
Retrieval Augmented Cross-Modal Tag Recommendation in Software Q&A Sites. CoRR abs/2402.03635 (2024) - [i13]Yu Chen, Liyan Ma, Liping Jing, Jian Yu:
BSDP: Brain-inspired Streaming Dual-level Perturbations for Online Open World Object Detection. CoRR abs/2403.02637 (2024) - [i12]Lei Cheng, Xiaowen Huang, Jitao Sang, Jian Yu:
Towards Robust Recommendation: A Review and an Adversarial Robustness Evaluation Library. CoRR abs/2404.17844 (2024) - [i11]Yi Feng, Mingyang Song, Jiaqi Wang, Mao Zheng, Liping Jing, Jian Yu:
SS-Bench: A Benchmark for Social Story Generation and Evaluation. CoRR abs/2406.15695 (2024) - 2022
- [i10]Yaogong Feng, Xiaowen Huang, Pengbo Yang, Jian Yu, Jitao Sang:
Non-generative Generalized Zero-shot Learning via Task-correlated Disentanglement and Controllable Samples Synthesis. CoRR abs/2203.05335 (2022) - [i9]Yimei Zheng, Caiyan Jia, Jian Yu, Xuanya Li:
Deep Embedded Clustering with Distribution Consistency Preservation for Attributed Networks. CoRR abs/2205.14303 (2022) - 2021
- [i8]Jiaming Zhang, Jitao Sang, Qi Yi, Huiwen Dong, Jian Yu:
Pre-training also Transfers Non-Robustness. CoRR abs/2106.10989 (2021) - [i7]Mengyuan Zhao, Xiaowen Huang, Lixi Zhu, Jitao Sang, Jian Yu:
Knowledge Graph-enhanced Sampling for Conversational Recommender System. CoRR abs/2110.06637 (2021) - [i6]Xiaowen Huang, Jitao Sang, Jian Yu, Changsheng Xu:
Learning to Learn a Cold-start Sequential Recommender. CoRR abs/2110.09083 (2021) - 2019
- [i5]Jiaming Zhang, Jitao Sang, Kaiyuan Xu, Shangxi Wu, Yongli Hu, Yanfeng Sun, Jian Yu:
blessing in disguise: Designing Robust Turing Test by Employing Algorithm Unrobustness. CoRR abs/1904.09804 (2019) - [i4]Guanhua Zheng, Jitao Sang, Houqiang Li, Jian Yu, Changsheng Xu:
A Generalization Theory based on Independent and Task-Identically Distributed Assumption. CoRR abs/1911.12603 (2019) - 2018
- [i3]Shangxi Wu, Jitao Sang, Kaiyuan Xu, Jiaming Zhang, Yanfeng Sun, Liping Jing, Jian Yu:
Attention, Please! Adversarial Defense via Attention Rectification and Preservation. CoRR abs/1811.09831 (2018) - 2015
- [i2]Jian Yu:
Generalized Categorization Axioms. CoRR abs/1503.09082 (2015) - [i1]Jian Yu:
Communication: Words and Conceptual Systems. CoRR abs/1507.08073 (2015)
Coauthor Index
[j95] [j93] [j92] [j91] [j90] [j88] [j87] [j83] [j82] [j81] [j78] [j76] [j74] [j71] [j65] [j63] [j62] [j59] [j50] [j45] [j43] [j41] [j37] [j24] [j21] [c80] [c79] [c78] [c76] [c75] [c74] [c73] [c70] [c68] [c66] [c62] [c61] [c60] [c55] [c54] [c51] [c50] [c49] [c43] [c42] [c36] [c33] [c32] [c31] [c30] [c29] [c26] [c21] [i14] [i13] [i11] [i3]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-16 22:00 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
