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ORCIDJian Yin 0001
Person information
- affiliation: Sun Yat-Sen University, School of Data and Computer Science, Guangzhou, China
- affiliation: Guangdong Key Laboratory of Big Data Analysis and Processing, Guangzhou, China
Other persons with the same name
- Jian Yin 0002 — Pacific Northwest National Laboratory, Richland, WA, USA (and 2 more)
- Jian Yin 0003
![[0000-0002-4820-0226]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-4820-0226")
— Shandong University, School of Mechanical, Electrical and Information Engineering, Weihai, China - Jian Yin 0004 — Shenzhen University, College of Mechatronics and Control Engineering, Shenzhen, China
- Jian Yin 0005 — University of California San Diego, Skaggs School of Pharmacy and Pharmaceutical Sciences, La Jolla, CA, USA
- Jian Yin 0006 — University of Missouri-Rolla, Department of Computer Science, Rolla, MO, USA
- Jian Yin 0007 — Research Institute on General Development and Argumentation of Equipment of Air Force, Beijing, China
- Jian Yin 0008 — Taiyuan University of Science and Technology, Shanxi, China
- Jian Yin 0009 — Wuhan Universiy of Technology, School of Management, China
- Jian Yin 0010 — Tianjin Medical University, Cancer Hospital, China
- Jian Yin 0011 — Jiangsu Normal University, School of Mechanical and Electrical Engineering, Xuzhou, China
- Jian Yin 0012 — Jiangxi Police Institute, Department of Traffic Management, Nanchang, China
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2020 – today
- 2020
[j40]Yuchen Liang, Yan Pan, Hanjiang Lai, Jian Yin:
Robust multi-view clustering via inter-and-intra-view low rank fusion. Neurocomputing 385: 220-230 (2020)- [j39]Guangquan Lu, Jiangzhang Gan, Jian Yin, Zhiping Luo, Bo Li, Xishun Zhao:
Multi-task learning using a hybrid representation for text classification. Neural Comput. Appl. 32(11): 6467-6480 (2020) - [j38]Guangquan Lu, Xishun Zhao, Jian Yin, Weiwei Yang, Bo Li:
Multi-task learning using variational auto-encoder for sentiment classification. Pattern Recognit. Lett. 132: 115-122 (2020) - [j37]Hanjiang Lai, Jikai Chen, Libing Geng, Yan Pan, Xiaodan Liang, Jian Yin:
Improving Deep Binary Embedding Networks by Order-Aware Reweighting of Triplets. IEEE Trans. Circuits Syst. Video Technol. 30(4): 1162-1172 (2020) - [j36]Wei Liu, Hanjiang Lai, Jing Wang, Ge-Yang Ke, Weiwei Yang, Jian Yin:
Mix geographical information into local collaborative ranking for POI recommendation. World Wide Web 23(1): 131-152 (2020) - [j35]Xiaorui Qin, Yanghui Rao, Haoran Xie, Jian Yin, Fu Lee Wang:
Extractive convolutional adversarial networks for network embedding. World Wide Web 23(3): 1925-1944 (2020) - [c90]Jian Yin, Chunjing Gan, Kaiqi Zhao, Xuan Lin, Zhe Quan, Zhi-Jie Wang:
A Novel Model for Imbalanced Data Classification. AAAI 2020: 6680-6687 - [c89]Wentao Xu, Shun Zheng, Liang He, Bin Shao, Jian Yin, Tie-Yan Liu:
SEEK: Segmented Embedding of Knowledge Graphs. ACL 2020: 3888-3897 - [c88]Wanjun Zhong, Duyu Tang, Zhangyin Feng, Nan Duan, Ming Zhou, Ming Gong, Linjun Shou, Daxin Jiang, Jiahai Wang, Jian Yin:
LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network. ACL 2020: 6053-6065 - [c87]Daya Guo, Duyu Tang, Nan Duan, Jian Yin, Daxin Jiang, Ming Zhou:
Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder. ACL 2020: 6118-6129 - [c86]Wanjun Zhong, Jingjing Xu, Duyu Tang, Zenan Xu, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
Reasoning Over Semantic-Level Graph for Fact Checking. ACL 2020: 6170-6180 - [c85]Jianxing Yu, Wei Liu, Shuang Qiu, Qinliang Su, Kai Wang, Xiaojun Quan, Jian Yin:
Low-Resource Generation of Multi-hop Reasoning Questions. ACL 2020: 6729-6739 - [c84]Haoye Dong, Xiaodan Liang, Yixuan Zhang, Xujie Zhang, Xiaohui Shen, Zhenyu Xie, Bowen Wu, Jian Yin:
Fashion Editing With Adversarial Parsing Learning. CVPR 2020: 8117-8125 - [c83]Wanjun Zhong, Duyu Tang, Zenan Xu, Ruize Wang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
Neural Deepfake Detection with Factual Structure of Text. EMNLP (1) 2020: 2461-2470 - [c82]Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu:
Gradient Perturbation is Underrated for Differentially Private Convex Optimization. IJCAI 2020: 3117-3123 - [c81]Jianxing Yu, Xiaojun Quan, Qinliang Su, Jian Yin:
Generating Multi-hop Reasoning Questions to Improve Machine Reading Comprehension. WWW 2020: 281-291 - [i24]Daya Guo, Akari Asai, Duyu Tang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Jian Yin, Ming Zhou:
Inferential Text Generation with Multiple Knowledge Sources and Meta-Learning. CoRR abs/2004.03070 (2020) - [i23]Wanjun Zhong, Duyu Tang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
A Heterogeneous Graph with Factual, Temporal and Logical Knowledge for Question Answering Over Dynamic Contexts. CoRR abs/2004.12057 (2020) - [i22]Wanjun Zhong, Duyu Tang, Zhangyin Feng, Nan Duan, Ming Zhou, Ming Gong, Linjun Shou, Daxin Jiang, Jiahai Wang, Jian Yin:
LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network. CoRR abs/2004.13659 (2020) - [i21]Wentao Xu, Shun Zheng, Liang He, Bin Shao, Jian Yin, Tie-Yan Liu:
SEEK: Segmented Embedding of Knowledge Graphs. CoRR abs/2005.00856 (2020) - [i20]Daya Guo, Duyu Tang, Nan Duan, Jian Yin, Daxin Jiang, Ming Zhou:
Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder. CoRR abs/2006.08101 (2020) - [i19]Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu:
Membership Inference with Privately Augmented Data Endorses the Benign while Suppresses the Adversary. CoRR abs/2007.10567 (2020) - [i18]Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie Liu, Long Zhou, Nan Duan, Alexey Svyatkovskiy, Shengyu Fu, Michele Tufano, Shao Kun Deng, Colin B. Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, Ming Zhou:
GraphCodeBERT: Pre-training Code Representations with Data Flow. CoRR abs/2009.08366 (2020) - [i17]Wanjun Zhong, Duyu Tang, Zenan Xu, Ruize Wang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
Neural Deepfake Detection with Factual Structure of Text. CoRR abs/2010.07475 (2020)
2010 – 2019
- 2019
- [j34]Xingming Chen, Yanghui Rao, Haoran Xie, Fu Lee Wang, Yingchao Zhao, Jian Yin:
Sentiment Classification Using Negative and Intensive Sentiment Supplement Information. Data Sci. Eng. 4(2): 109-118 (2019) - [j33]Mengdie Nie, Zhi-Jie Wang, Jian Yin, Bin Yao:
Reachable region query and its applications. Inf. Sci. 476: 95-105 (2019) - [j32]Zhe Quan, Zhi-Jie Wang, Yuquan Le, Bin Yao, Kenli Li, Jian Yin:
An Efficient Framework for Sentence Similarity Modeling. IEEE ACM Trans. Audio Speech Lang. Process. 27(4): 853-865 (2019) - [j31]Hanjiang Lai, Yan Pan, Si Liu, Zhenbin Weng, Jian Yin:
Improved Search in Hamming Space Using Deep Multi-Index Hashing. IEEE Trans. Circuits Syst. Video Technol. 29(9): 2844-2855 (2019) - [j30]Chang-Qin Huang, Ji-Kai Chen, Yan Pan, Hanjiang Lai, Jian Yin, Qionghao Huang:
Clothing Landmark Detection Using Deep Networks With Prior of Key Point Associations. IEEE Trans. Cybern. 49(10): 3744-3754 (2019) - [c80]Mengdie Nie, Zhi-Jie Wang, Chunjing Gan, Zhe Quan, Bin Yao, Jian Yin:
An Improved Hierarchical Datastructure for Nearest Neighbor Search. AAAI 2019: 10001-10002 - [c79]Daya Guo, Duyu Tang, Nan Duan, Ming Zhou, Jian Yin:
Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing. ACL (1) 2019: 855-866 - [c78]Jianxing Yu, Zhengjun Zha, Jian Yin:
Inferential Machine Comprehension: Answering Questions by Recursively Deducing the Evidence Chain from Text. ACL (1) 2019: 2241-2251 - [c77]Yichan Liang, Jianheng Li, Jian Yin:
A New Multi-choice Reading Comprehension Dataset for Curriculum Learning. ACML 2019: 742-757 - [c76]Chunjing Gan, Bin Wang, Zhi-Jie Wang, Huazhong Liu, Dingyu Yang, Jian Yin, Shiyou Qian, Song Guo:
A Solution for High Availability Memory Access. ICA3PP (1) 2019: 122-137 - [c75]Haoye Dong, Xiaodan Liang, Xiaohui Shen, Bowen Wu, Bing-Cheng Chen, Jian Yin:
FW-GAN: Flow-Navigated Warping GAN for Video Virtual Try-On. ICCV 2019: 1161-1170 - [c74]Haoye Dong, Xiaodan Liang, Xiaohui Shen, Bochao Wang, Hanjiang Lai, Jia Zhu, Zhiting Hu, Jian Yin:
Towards Multi-Pose Guided Virtual Try-On Network. ICCV 2019: 9025-9034 - [c73]Haoye Dong, Xiaodan Liang, Chenxing Zhou, Hanjiang Lai, Jia Zhu, Jian Yin:
Part-Preserving Pose Manipulation for Person Image Synthesis. ICME 2019: 1234-1239 - [c72]Wei Liu, Zhi-Jie Wang, Bin Yao, Jian Yin:
Geo-ALM: POI Recommendation by Fusing Geographical Information and Adversarial Learning Mechanism. IJCAI 2019: 1807-1813 - [c71]Yifan Yang, Libing Geng, Hanjiang Lai, Yan Pan, Jian Yin:
Feature Pyramid Hashing. ICMR 2019: 114-122 - [c70]Shaoying Wang, Hanjiang Lai, Yifan Yang, Jian Yin:
Deep Policy Hashing Network with Listwise Supervision. ICMR 2019: 123-131 - [c69]Wanjun Zhong, Duyu Tang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
Improving Question Answering by Commonsense-Based Pre-training. NLPCC (1) 2019: 16-28 - [i16]Haoye Dong, Xiaodan Liang, Bochao Wang, Hanjiang Lai, Jia Zhu, Jian Yin:
Towards Multi-pose Guided Virtual Try-on Network. CoRR abs/1902.11026 (2019) - [i15]Shaoying Wang, Hanjiang Lai, Yifan Yang, Jian Yin:
Deep Policy Hashing Network with Listwise Supervision. CoRR abs/1904.01728 (2019) - [i14]Yifan Yang, Libing Geng, Hanjiang Lai, Yan Pan, Jian Yin:
Feature Pyramid Hashing. CoRR abs/1904.02325 (2019) - [i13]Haoye Dong, Xiaodan Liang, Yixuan Zhang, Xujie Zhang, Zhenyu Xie, Bowen Wu, Ziqi Zhang, Xiaohui Shen, Jian Yin:
Fashion Editing with Multi-scale Attention Normalization. CoRR abs/1906.00884 (2019) - [i12]Daya Guo, Duyu Tang, Nan Duan, Ming Zhou, Jian Yin:
Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing. CoRR abs/1906.07108 (2019) - [i11]Wanjun Zhong, Jingjing Xu, Duyu Tang, Zenan Xu, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
Reasoning Over Semantic-Level Graph for Fact Checking. CoRR abs/1909.03745 (2019) - [i10]Haien Zeng, Hanjiang Lai, Jian Yin:
Simultaneous Region Localization and Hash Coding for Fine-grained Image Retrieval. CoRR abs/1911.08028 (2019) - [i9]Haien Zeng, Hanjiang Lai, Hanlu Chu, Yong Tang, Jian Yin:
Modal-aware Features for Multimodal Hashing. CoRR abs/1911.08479 (2019) - [i8]Da Yu, Huishuai Zhang, Wei Chen, Tie-Yan Liu, Jian Yin:
Gradient Perturbation is Underrated for Differentially Private Convex Optimization. CoRR abs/1911.11363 (2019) - [i7]Haien Zeng, Hanjiang Lai, Jian Yin:
Controllable Face Aging. CoRR abs/1912.09694 (2019) - 2018
- [j29]Wei Liu, Jing Wang, Arun Kumar Sangaiah, Jian Yin:
Dynamic metric embedding model for point-of-interest prediction. Future Gener. Comput. Syst. 83: 183-192 (2018) - [j28]Dingyu Yang, Jianmei Guo, Zhi-Jie Wang, Yuan Wang, Jingsong Zhang, Liang Hu, Jian Yin, Jian Cao:
FastPM: An approach to pattern matching via distributed stream processing. Inf. Sci. 453: 263-280 (2018) - [j27]Guangquan Lu, Bo Li, Weiwei Yang, Jian Yin:
Unsupervised feature selection with graph learning via low-rank constraint. Multim. Tools Appl. 77(22): 29531-29549 (2018) - [j26]Jingyu Zhang, Zhi-Jie Wang, Zhe Quan, Jian Yin, Yuanyi Chen, Minyi Guo:
Optimizing power consumption of mobile devices for video streaming over 4G LTE networks. Peer Peer Netw. Appl. 11(5): 1101-1114 (2018) - [j25]Hanjiang Lai, Shengtao Xiao, Yan Pan, Zhen Cui, Jiashi Feng, Chunyan Xu, Jian Yin, Shuicheng Yan:
Deep Recurrent Regression for Facial Landmark Detection. IEEE Trans. Circuits Syst. Video Technol. 28(5): 1144-1157 (2018) - [j24]Ge-Yang Ke, Yan Pan, Jian Yin, Chang-Qin Huang:
Optimizing Evaluation Metrics for Multitask Learning via the Alternating Direction Method of Multipliers. IEEE Trans. Cybern. 48(3): 993-1006 (2018) - [c68]Danqing Huang, Jin-Ge Yao, Chin-Yew Lin, Qingyu Zhou, Jian Yin:
Using Intermediate Representations to Solve Math Word Problems. ACL (1) 2018: 419-428 - [c67]Zichao Huang, Bo Li, Jian Yin:
Knowledge Graph Embedding by Learning to Connect Entity with Relation. APWeb/WAIM (1) 2018: 400-414 - [c66]Danqing Huang, Jing Liu, Chin-Yew Lin, Jian Yin:
Neural Math Word Problem Solver with Reinforcement Learning. COLING 2018: 213-223 - [c65]Wei Liu, Zhi-Jie Wang, Bin Yao, Mengdie Nie, Jing Wang, Rui Mao, Jian Yin:
Geographical Relevance Model for Long Tail Point-of-Interest Recommendation. DASFAA (1) 2018: 67-82 - [c64]Xiangsheng Li, Yanghui Rao, Haoran Xie, Yufu Chen, Raymond Y. K. Lau, Fu Lee Wang, Jian Yin:
Learning Dual Preferences with Non-negative Matrix Tri-Factorization for Top-N Recommender System. DASFAA (1) 2018: 133-149 - [c63]Daya Guo, Yibo Sun, Duyu Tang, Nan Duan, Jian Yin, Hong Chi, James Cao, Peng Chen, Ming Zhou:
Question Generation from SQL Queries Improves Neural Semantic Parsing. EMNLP 2018: 1597-1607 - [c62]Yifei Lu, Yanghui Rao, Jun Yang, Jian Yin:
Incorporating Lexicons into LSTM for Sentiment Classification. IJCNN 2018: 1-7 - [c61]Haoye Dong, Xiaodan Liang, Ke Gong, Hanjiang Lai, Jia Zhu, Jian Yin:
Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis. NeurIPS 2018: 472-482 - [c60]Daya Guo, Duyu Tang, Nan Duan, Ming Zhou, Jian Yin:
Dialog-to-Action: Conversational Question Answering Over a Large-Scale Knowledge Base. NeurIPS 2018: 2946-2955 - [i6]Daya Guo, Yibo Sun, Duyu Tang, Nan Duan, Jian Yin, Hong Chi, James Cao, Peng Chen, Ming Zhou:
Question Generation from SQL Queries Improves Neural Semantic Parsing. CoRR abs/1808.06304 (2018) - [i5]Wanjun Zhong, Duyu Tang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
Improving Question Answering by Commonsense-Based Pre-Training. CoRR abs/1809.03568 (2018) - [i4]Haoye Dong, Xiaodan Liang, Ke Gong, Hanjiang Lai, Jia Zhu, Jian Yin:
Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis. CoRR abs/1810.11610 (2018) - 2017
- [j23]Xiangsheng Li, Yanghui Rao, Haoran Xie, Raymond Y. K. Lau, Jian Yin, Fu Lee Wang:
Bootstrapping Social Emotion Classification with Semantically Rich Hybrid Neural Networks. IEEE Trans. Affect. Comput. 8(4): 428-442 (2017) - [c59]Endong Zhu, Yanghui Rao, Haoran Xie, Yuwei Liu, Jian Yin, Fu Lee Wang:
Cluster-level Emotion Pattern Matching for Cross-Domain Social Emotion Classification. CIKM 2017: 2435-2438 - [c58]Danqing Huang, Shuming Shi, Chin-Yew Lin, Jian Yin:
Learning Fine-Grained Expressions to Solve Math Word Problems. EMNLP 2017: 805-814 - [c57]Yan Zhang, Weiwei Yang, Bangtian Liu, Ge-Yang Ke, Yan Pan, Jian Yin:
Multi-view Spectral Clustering via Tensor-SVD Decomposition. ICTAI 2017: 493-497 - [i3]Xi Zhang, Siyu Zhou, Jiashi Feng, Hanjiang Lai, Bo Li, Yan Pan, Jian Yin, Shuicheng Yan:
HashGAN: Attention-aware Deep Adversarial Hashing for Cross Modal Retrieval. CoRR abs/1711.09347 (2017) - [i2]Siyu Zhou, Weiqiang Zhao, Jiashi Feng, Hanjiang Lai, Yan Pan, Jian Yin, Shuicheng Yan:
Personalized and Occupational-aware Age Progression by Generative Adversarial Networks. CoRR abs/1711.09368 (2017) - 2016
- [j22]Ye Liu, Yan Pan, Hanjiang Lai, Cong Liu, Jian Yin:
Margin-based two-stage supervised hashing for image retrieval. Neurocomputing 214: 894-901 (2016) - [j21]Ye Liu, Yan Pan, Rongkai Xia, Di Liu, Jian Yin:
FP-CNNH: 一种基于深度卷积神经网络的快速图像哈希算法 (FP-CNNH: A Fast Image Hashing Algorithm Based on Deep Convolutional Neural Network). 计算机科学 43(9): 39-46 (2016) - [j20]Yaowei Wang, Yanghui Rao, Xueying Zhan, Huijun Chen, Maoquan Luo, Jian Yin:
Sentiment and emotion classification over noisy labels. Knowl. Based Syst. 111: 207-216 (2016) - [j19]Mengting Li, Xiang Li, Jian Yin:
TORD Problem and Its Solution Based on Big Trajectories Data. IEEE Trans. Intell. Transp. Syst. 17(6): 1666-1677 (2016) - [j18]Xiang Li, Mengting Li, Yue-Jiao Gong, Xinglin Zhang, Jian Yin:
T-DesP: Destination Prediction Based on Big Trajectory Data. IEEE Trans. Intell. Transp. Syst. 17(8): 2344-2354 (2016) - [c56]Danqing Huang, Shuming Shi, Chin-Yew Lin, Jian Yin, Wei-Ying Ma:
How well do Computers Solve Math Word Problems? Large-Scale Dataset Construction and Evaluation. ACL (1) 2016 - [c55]Yalan Zhou, Jiahai Wang, Shangce Gao, Xing Yang, Jian Yin:
Improving Artificial Bee Colony Algorithm with Historical Archive. BIC-TA (2) 2016: 185-190 - 2015
- [j17]Yan Pan, Rongkai Xia, Jian Yin, Ning Liu:
A Divide-and-Conquer Method for Scalable Robust Multitask Learning. IEEE Trans. Neural Networks Learn. Syst. 26(12): 3163-3175 (2015) - [c54]Zhisheng Wang, Qi Li, Ye Liu, Wei Liu, Jian Yin:
Online Personalized Recommendation Based on Streaming Implicit User Feedback. APWeb 2015: 720-731 - [c53]Yiqun Chen, Jian Yin, Weiheng Zhu, Shiding Qiu:
Novel Word Features for Keyword Extraction. WAIM 2015: 148-160 - [i1]Hanjiang Lai, Shengtao Xiao, Yan Pan, Zhen Cui, Jiashi Feng, Chunyan Xu, Jian Yin, Shuicheng Yan:
Deep Recurrent Regression for Facial Landmark Detection. CoRR abs/1510.09083 (2015) - 2014
- [c52]Rongkai Xia, Yan Pan, Lei Du, Jian Yin:
Robust Multi-View Spectral Clustering via Low-Rank and Sparse Decomposition. AAAI 2014: 2149-2155 - 2013
- [j16]Gang Zhang, Zhaohui Liang, Jian Yin, Wenbin Fu, Guo-Zheng Li:
A similarity based learning framework for interim analysis of outcome prediction of acupuncture for neck pain. Int. J. Data Min. Bioinform. 8(4): 381-395 (2013) - [j15]Jian Chen, Jin Huang, Bin Jiang, Jian Pei, Jian Yin:
Recommendations for two-way selections using skyline view queries. Knowl. Inf. Syst. 34(2): 397-424 (2013) - [j14]Rui Gan, Jian Yin:
Feature selection in multi-instance learning. Neural Comput. Appl. 23(3-4): 907-912 (2013) - [c51]Zhisheng Bi, Jiahai Wang, Jian Yin:
A Soft Subspace Clustering Algorithm Based on Multi-Objective Optimization and Reliability Measure. BIC-TA 2013: 239-247 - [c50]Jing Wang, Jian Yin:
Combining user-based and item-based collaborative filtering techniques to improve recommendation diversity. BMEI 2013: 661-665 - 2012
- [j13]Gang Zhang, Jian Yin, Xiaomin He, Lianglun Cheng:
Data Dependant Learners Ensemble Pruning. J. Softw. 7(4): 919-926 (2012) - [j12]Yiqiao Cai, Jiahai Wang, Jian Yin:
Learning-enhanced differential evolution for numerical optimization. Soft Comput. 16(2): 303-330 (2012) - [j11]Jiahai Wang, Ying Zhou, Yiqiao Cai, Jian Yin:
Learnable tabu search guided by estimation of distribution for maximum diversity problems. Soft Comput. 16(4): 711-728 (2012) - [c49]Lihe Song, Weixu Zhan, Shuchai Qian, Jian Yin:
Customer Segmentation for Power Enterprise Based on Enhanced-FCM Algorithm. ADMA 2012: 127-137 - [c48]Jiaming Hong, Bingchao Chen, Jian Yin:
Transfer Learning with Local Smoothness Regularizer. APWeb 2012: 521-528 - [c47]Gang Zhang, Xiangyang Shu, Zhaohui Liang, Yunting Liang, Shuyi Chen, Jian Yin:
Multi-instance learning for skin biopsy image features recognition. BIBM 2012: 1-6 - [c46]Yuntao Liu, Qing Liu, Dan-Wen Zheng, Qing-Ping Deng, Zhan-Peng Tan, Xiaoyang Jin, Wei Huang, Yaling Lei, Yi Luo, Jian Yin:
Application and improvement discussion about Apriori algorithm of association rules mining in cases mining of influenza treated by contemporary famous old Chinese medicine. BIBM Workshops 2012: 316-322 - [c45]Zhaohui Liang, Gang Zhang, Ziping Li, Jian Yin, Wenbin Fu:
Deep learning for acupuncture point selection patterns based on veteran doctor experience of Chinese medicine. BIBM Workshops 2012: 396-401 - [c44]Rui Gan, Jian Yin:
Using LIRe to Implement Image Retrieval System Based on Multi-feature Descriptor. ICDMA 2012: 1014-1017 - 2011
- [j10]Jiahai Wang, Yiqiao Cai, Jian Yin:
Multi-start stochastic competitive Hopfield neural network for frequency assignment problem in satellite communications. Expert Syst. Appl. 38(1): 131-145 (2011) - [j9]Yiqiao Cai, Jiahai Wang, Jian Yin, Yalan Zhou:
Memetic clonal selection algorithm with EDA vaccination for unconstrained binary quadratic programming problems. Expert Syst. Appl. 38(6): 7817-7827 (2011) - [j8]Ying Zhou, Jiahai Wang, Jian Yin:
Cooperative annealing Hopfield network for unconstrained binary quadratic programming problem. Expert Syst. Appl. 38(11): 13894-13905 (2011) - [j7]Jiahai Wang, Ying Zhou, Jian Yin:
Combining tabu Hopfield network and estimation of distribution for unconstrained binary quadratic programming problem. Expert Syst. Appl. 38(12): 14870-14881 (2011) - [j6]Chenghui Huang, Jian Yin, Fang Hou:
Text Clustering Using a Suffix Tree Similarity Measure. J. Comput. 6(10): 2180-2186 (2011) - [c43]Yi Luo, Ji-Qiang Li, Dan-Wen Zheng, Zhan-Peng Tan, Hong Zhou, Qing-Ping Deng, Yuntao Liu, Aihua Ou, Jian Yin:
Application of data mining technology in excavating prevention and treatment experience of infectious diseases from famous herbalist doctors. BIBM Workshops 2011: 784-790 - [c42]Guoming Chen, Weiheng Zhu, Yiqun Chen, Jian Yin, Nian Zhang:
Intrinsic dimension estimation based on maximum likelihood estimator and reverse k nearest neighbors. FSKD 2011: 1289-1293 - [c41]Jian Fu, Jian Yin:
Bag-level active multi-instance learning. FSKD 2011: 1307-1311 - [c40]Gang Zhang, Jian Yin, Shanhong Zhang, Lianglun Cheng:
Regularization based ordering for ensemble pruning. FSKD 2011: 1325-1329 - [c39]Jing Wang, Jian Yin, Yuzhang Liu, Chuangguang Huang:
Trust-based Collaborative Filtering. FSKD 2011: 2650-2654 - 2010
- [j5]Jin Huang, Feng Zhao, Jian Chen, Jian Pei, Jian Yin:
Towards Progressive and Load Balancing Distributed Computation: A Case Study on Skyline Analysis. J. Comput. Sci. Technol. 25(3): 431-443 (2010) - [c38]Jing Wang, Nai-Ying Zhang, Jian Yin:
Collaborative filtering recommendation based on fuzzy clustering of user preferences. FSKD 2010: 1946-1950 - [c37]Jin Huang, Jian Chen, Qing Du, Jian Yin:
A load balancing skyline query algorithm in high bandwidth distributed systems. FSKD 2010: 2076-2080 - [c36]Chuangguang Huang, Jian Yin:
Effective association clusters filtering to cold-start recommendations. FSKD 2010: 2461-2464 - [c35]Chenghui Huang, Jian Yin, Dong Han:
An Improved Text Retrieval Algorithm Based on Suffix Tree Similarity Measure. ICICA (2) 2010: 150-157
2000 – 2009
- 2009
- [j4]Jian Yin, Shaoe Xue, Jina Wang, Shuqin Rao, Wenxin Yang:
Preserving Local Manifold in Noise Data Clustering. J. Circuits Syst. Comput. 18(8): 1547-1563 (2009) - [j3]Jiahai Wang, Yalan Zhou, Jian Yin, Yunong Zhang:
Competitive Hopfield Network Combined With Estimation of Distribution for Maximum Diversity Problems. IEEE Trans. Syst. Man Cybern. Part B 39(4): 1048-1066 (2009) - [c34]Chuangguang Huang, Jian Yin, Jing Wang, Li-Rong Zheng:
Collaborative Filtering Recommendation Algorithm Using Dynamic Similar Neighbor Probability. ADMA 2009: 165-174 - [c33]Weizhao Guo, Jian Yin, Zhimin Yang, Xiaobo Yang, Li Huang:
Exploring an Improved Decision Tree Based Weights. ICNC (1) 2009: 139-143 - [c32]Yiqiao Cai, Jiahai Wang, Jian Yin, Caiwei Li, Yunong Zhang:
Multi-start Stochastic Competitive Hopfield Neural Network for p-Median Problem. ISNN (1) 2009: 75-83 - [c31]Weizhao Guo, Yong Hu, Mei Liu, Jian Yin, Kang Xie, Xiaobo Yang:
Exploring Cost-Sensitive Learning in Domain Based Protein-Protein Interaction Prediction. ISNN (4) 2009: 175-184 - [c30]Yubao Liu, Xiuwei Chen, Fei Wang, Jian Yin:
Efficient Detection of Discords for Time Series Stream. APWeb/WAIM 2009: 629-634 - 2008
- [j2]Yubao Liu, Jiarong Cai, Jian Yin, Ada Wai-Chee Fu:
Clustering Text Data Streams. J. Comput. Sci. Technol. 23(1): 112-128 (2008) - [c29]Wenxin Yang, Shuqin Rao, Jina Wang, Jian Yin, Jian Chen