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Lihong Wang

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2024
[j71]
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Liewang Cao, Chen Ma, Haobo Jiao, Wenzheng Ma, Lihong Wang, Chengsong Li:
Construction and testing of an empirical model for calculating the tumbled range of dry prickly ash particles on the separation belt. Comput. Electron. Agric. 218: 108711 (2024)
[j70]
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Liya Ma, Chen Li, Siqi Sun, Shu Guo, Lihong Wang, Jianxin Li:
Privacy-preserving graph publishing with disentangled variational information bottleneck. Concurr. Comput. Pract. Exp. 36(10) (2024)
[j69]
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Keyao Wang, Huiwen Wang, Shanshan Wang, Lihong Wang:
Variable selection for multivariate functional data via conditional correlation learning. Comput. Stat. 39(4): 2375-2412 (2024)
[j68]
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Keyao Wang, Huiwen Wang, Jichang Zhao, Lihong Wang:
A transparent and nonlinear method for variable selection. Expert Syst. Appl. 237(Part B): 121398 (2024)
[j67]
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Yiming Hei, Jiawei Sheng, Lihong Wang, Qian Li, Shu Guo, Jianwei Liu:
Decomposition and recombination. A soft cascade model for event detection. Knowl. Based Syst. 298: 111924 (2024)
[j66]
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Lintao Zhang, Lihong Wang, Minhui Yu, Rong Wu, David C. Steffens, Guy G. Potter, Mingxia Liu:
Hybrid representation learning for cognitive diagnosis in late-life depression over 5 years with structural MRI. Medical Image Anal. 94: 103135 (2024)
[j65]
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Yiming Hei, Lihong Wang, Jiawei Sheng, Jianwei Liu, Qian Li, Shu Guo:
Label graph augmented soft cascade decoding model for overlapping event extraction. Int. J. Mach. Learn. Cybern. 15(1): 79-95 (2024)
[j64]
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Qian Li, Jianxin Li, Jia Wu, Xutan Peng, Cheng Ji, Hao Peng, Lihong Wang, Philip S. Yu:
Triplet-aware graph neural networks for factorized multi-modal knowledge graph entity alignment. Neural Networks 179: 106479 (2024)
[j63]
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Jian Zhang, Jing Pu, Ting an, Pengxin Wu, Hong Zhou, Qi Niu, Chengsong Li, Lihong Wang:
Monitoring of impurities in green peppers based on convolutional neural networks. Signal Image Video Process. 18(1): 63-69 (2024)
[j62]
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Shenghai Zhong, Shu Guo, Jing Liu, Hongren Huang, Lihong Wang, Jianxin Li, Chen Li, Yiming Hei:
Self-supervised Bipartite Graph Representation Learning: A Dirichlet Max-margin Matrix Factorization Approach. ACM Trans. Intell. Syst. Technol. 15(3): 53:1-53:24 (2024)
[j61]
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Yiming Hei, Renyu Yang, Hao Peng, Lihong Wang, Xiaolin Xu, Jianwei Liu, Hong Liu, Jie Xu, Lichao Sun:
Hawk: Rapid Android Malware Detection Through Heterogeneous Graph Attention Networks. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4703-4717 (2024)
[j60]
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Qian Li, Jianxin Li, Jiawei Sheng, Shiyao Cui, Jia Wu, Yiming Hei, Hao Peng, Shu Guo, Lihong Wang, Amin Beheshti, Philip S. Yu:
A Survey on Deep Learning Event Extraction: Approaches and Applications. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6301-6321 (2024)
[c71]
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Bin Ao, Jingya Yang, Runyu Han, Dan Fei, Lihong Wang, Ning Wang, Zhaohui Song, Bo Ai:
Channel Measurements and Sparsity Analysis for Air-to-Ground mmWave Communications. ICC 2024: 1909-1914
[i21]
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  - journals/corr/abs-2403-08162
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Lintao Zhang, Mengqi Wu, Lihong Wang, David C. Steffens, Guy G. Potter, Mingxia Liu:
Iterative Learning for Joint Image Denoising and Motion Artifact Correction of 3D Brain MRI. CoRR abs/2403.08162 (2024)
[i20]
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Yibo Zhang, Lihong Wang, Changqing Zou, Tieru Wu, Rui Ma:
Diff3DS: Generating View-Consistent 3D Sketch via Differentiable Curve Rendering. CoRR abs/2405.15305 (2024)
2023
[j59]
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Yu'e Huang, Shunheng Zhou, Haizhou Liu, Xu Zhou, Mengqin Yuan, Fei Hou, Sina Chen, Jiahao Chen, Lihong Wang, Wei Jiang:
DRdriver: identifying drug resistance driver genes using individual-specific gene regulatory network. Briefings Bioinform. 24(2) (2023)
[j58]
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Zhiyuan Zhang, Gaokun Shi, Jingbin Li, Xianfei Wang, Longpeng Ding, Lihong Wang:
Analysis of jujube movement characteristics under positive and negative pressure airflow based on CFD-DEM. Comput. Electron. Agric. 210: 107902 (2023)
[j57]
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Shunheng Zhou, Yu'e Huang, Jiani Xing, Xu Zhou, Sina Chen, Jiahao Chen, Lihong Wang, Wei Jiang:
ncFO: A Comprehensive Resource of Curated and Predicted ncRNAs Associated with Ferroptosis. Genom. Proteom. Bioinform. 21(2): 278-282 (2023)
[j56]
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Qian Li, Shu Guo, Jia Wu, Jianxin Li, Jiawei Sheng, Hao Peng, Lihong Wang:
Event Extraction by Associating Event Types and Argument Roles. IEEE Trans. Big Data 9(6): 1549-1560 (2023)
[j55]
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Yue Fan, Huiwen Wang, Lihong Wang, Shu Guo, Jing Liu:
Mobile user identification based on road networks and multiple distance measures. Trans. GIS 27(4): 1104-1123 (2023)
[j54]
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Yue Fan, Huiwen Wang, Lihong Wang, Shu Guo, Jing Liu:
A novel trajectory similarity measurement method based on node-sequence hierarchical digraph. Trans. GIS 27(8): 2320-2342 (2023)
[j53]
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Qian Li, Jianxin Li, Lihong Wang, Cheng Ji, Yiming Hei, Jiawei Sheng, Qingyun Sun, Shan Xue, Pengtao Xie:
Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems. ACM Trans. Web 17(3): 20:1-20:26 (2023)
[j52]
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Yong Lai, Haiyong Xu, Chi Lin, Ting Luo, Lihong Wang:
A two-stage and two-branch generative adversarial network-based underwater image enhancement. Vis. Comput. 39(9): 4133-4147 (2023)
[c70]
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  - conf/acl/LiGJPC0W23
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Qian Li, Shu Guo, Cheng Ji, Xutan Peng, Shiyao Cui, Jianxin Li, Lihong Wang:
Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction. ACL (Findings) 2023: 8982-8994
[c69]
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Weiyi Yang, Richong Zhang, Junfan Chen, Lihong Wang, Jaein Kim:
Prototype-Guided Pseudo Labeling for Semi-Supervised Text Classification. ACL (1) 2023: 16369-16382
[c68]
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Jiawei Sheng, Xin Cong, Jiangxia Cao, Shu Guo, Chen Li, Lihong Wang, Tingwen Liu, Hongbo Xu:
Uncertain Relational Hypergraph Attention Networks for Document-Level Event Factuality Identification. ECAI 2023: 2129-2137
[c67]
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Qian Li, Cheng Ji, Shu Guo, Zhaoji Liang, Lihong Wang, Jianxin Li:
Multi-Modal Knowledge Graph Transformer Framework for Multi-Modal Entity Alignment. EMNLP (Findings) 2023: 987-999
[c66]
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Dan Luo, Jiawei Sheng, Hongbo Xu, Lihong Wang, Bin Wang:
Improving Complex Knowledge Base Question Answering with Relation-Aware Subgraph Retrieval and Reasoning Network. IJCNN 2023: 1-8
[c65]
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Lintao Zhang, Jinjian Wu, Lihong Wang, Li Wang, David C. Steffens, Shijun Qiu, Guy G. Potter, Mingxia Liu:
Brain Anatomy-Guided MRI Analysis for Assessing Clinical Progression of Cognitive Impairment with Structural MRI. MICCAI (8) 2023: 109-119
[c64]
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Xiyue Luo, Wenhan Chao, Xian Zhou, Lihong Wang, Zhunchen Luo:
What Makes a Charge? Identifying Charge-Discriminative Facts with Legal Elements. NLPCC (1) 2023: 298-310
[c63]
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Yuhu Shang, Xuexiong Luo, Lihong Wang, Hao Peng, Xiankun Zhang, Yimeng Ren, Kun Liang:
Reinforcement Learning Guided Multi-Objective Exam Paper Generation. SDM 2023: 829-837
[c62]
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Shicheng Wang, Shu Guo, Lihong Wang, Tingwen Liu, Hongbo Xu:
HDNR: A Hyperbolic-Based Debiased Approach for Personalized News Recommendation. SIGIR 2023: 259-268
[c61]
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Qian Li, Shu Guo, Yangyifei Luo, Cheng Ji, Lihong Wang, Jiawei Sheng, Jianxin Li:
Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment. WWW 2023: 2499-2508
[i19]
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Yuhu Shang, Xuexiong Luo, Lihong Wang, Hao Peng, Xiankun Zhang, Yimeng Ren, Kun Liang:
Reinforcement Learning Guided Multi-Objective Exam Paper Generation. CoRR abs/2303.01042 (2023)
[i18]
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Qian Li, Shu Guo, Yangyifei Luo, Cheng Ji, Lihong Wang, Jiawei Sheng, Jianxin Li:
Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment. CoRR abs/2304.01563 (2023)
[i17]
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  - journals/corr/abs-2306-11837
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Lintao Zhang, Jinjian Wu, Lihong Wang, Li Wang, David C. Steffens, Shijun Qiu, Guy G. Potter, Mingxia Liu:
Brain Anatomy Prior Modeling to Forecast Clinical Progression of Cognitive Impairment with Structural MRI. CoRR abs/2306.11837 (2023)
[i16]
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  - journals/corr/abs-2310-06365
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Qian Li, Cheng Ji, Shu Guo, Zhaoji Liang, Lihong Wang, Jianxin Li:
Multi-Modal Knowledge Graph Transformer Framework for Multi-Modal Entity Alignment. CoRR abs/2310.06365 (2023)
2022
[j51]
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Peng Zhuo, Yexin Li, Baoshuai Wang, Haobo Jiao, Pei Wang, Chengsong Li, Qi Niu, Lihong Wang:
Analysis and experimental study on vibration response characteristics of mechanical harvesting of jujube. Comput. Electron. Agric. 203: 107446 (2022)
[j50]
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Bo Ran, Tianshuo Zhang, Lihong Wang, Sheng Liu, Xiaoyi Zhou:
Image Security Based on Three-Dimensional Chaotic System and Random Dynamic Selection. Entropy 24(7): 958 (2022)
[j49]
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Hongren Huang, Chen Li, Xutan Peng, Lifang He, Shu Guo, Hao Peng, Lihong Wang, Jianxin Li:
Cross-knowledge-graph entity alignment via relation prediction. Knowl. Based Syst. 240: 107813 (2022)
[j48]
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Qianren Mao, Xi Li, Bang Liu, Shu Guo, Peng Hao, Jianxin Li, Lihong Wang:
Attend and select: A segment selective transformer for microblog hashtag generation. Knowl. Based Syst. 254: 109581 (2022)
[j47]
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Wenxia Li, Chi Lin, Ting Luo, Hong Li, Haiyong Xu, Lihong Wang:
Subjective and Objective Quality Evaluation for Underwater Image Enhancement and Restoration. Symmetry 14(3): 558 (2022)
[j46]
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Qian Li, Hao Peng, Jianxin Li, Jia Wu, Yuanxing Ning, Lihong Wang, Philip S. Yu, Zheng Wang:
Reinforcement Learning-Based Dialogue Guided Event Extraction to Exploit Argument Relations. IEEE ACM Trans. Audio Speech Lang. Process. 30: 520-533 (2022)
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Qianren Mao, Jianxin Li, Chenghua Lin, Congwen Chen, Hao Peng, Lihong Wang, Philip S. Yu:
Adaptive Pre-Training and Collaborative Fine-Tuning: A Win-Win Strategy to Improve Review Analysis Tasks. IEEE ACM Trans. Audio Speech Lang. Process. 30: 622-634 (2022)
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Qianren Mao, Jianxin Li, Hao Peng, Shizhu He, Lihong Wang, Philip S. Yu, Zheng Wang:
Fact-Driven Abstractive Summarization by Utilizing Multi-Granular Multi-Relational Knowledge. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1665-1678 (2022)
[j43]
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Chen Li, Hao Peng, Jianxin Li, Lichao Sun, Lingjuan Lyu, Lihong Wang, Philip S. Yu, Lifang He:
Joint Stance and Rumor Detection in Hierarchical Heterogeneous Graph. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2530-2542 (2022)
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Qianren Mao, Jianxin Li, JiaZheng Wang, Xi Li, Peng Hao, Lihong Wang, Zheng Wang:
Explicitly Modeling Importance and Coherence for Timeline Summarization. ICASSP 2022: 8062-8066
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Lintao Zhang, Minhui Yu, Lihong Wang, David C. Steffens, Rong Wu, Guy G. Potter, Mingxia Liu:
Understanding Clinical Progression of Late-Life Depression to Alzheimer's Disease Over 5 Years with Structural MRI. MLMI@MICCAI 2022: 259-268
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Shicheng Wang, Shu Guo, Lihong Wang, Tingwen Liu, Hongbo Xu:
Multi-interest Extraction Joint with Contrastive Learning for News Recommendation. ECML/PKDD (1) 2022: 606-621
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Jiawei Sheng, Rui Sun, Shu Guo, Shiyao Cui, Jiangxia Cao, Lihong Wang, Tingwen Liu, Hongbo Xu:
CorED: Incorporating Type-level and Instance-level Correlations for Fine-grained Event Detection. SIGIR 2022: 1122-1132
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Qianren Mao, Hongdong Zhu, Junnan Liu, Cheng Ji, Hao Peng, Jianxin Li, Lihong Wang, Zheng Wang:
MuchSUM: Multi-channel Graph Neural Network for Extractive Summarization. SIGIR 2022: 2617-2622
[i15]
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  - journals/corr/abs-2211-08168
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Qian Li, Jianxin Li, Lihong Wang, Cheng Ji, Yiming Hei, Jiawei Sheng, Qingyun Sun, Shan Xue, Pengtao Xie:
Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems. CoRR abs/2211.08168 (2022)
[i14]
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  - journals/corr/abs-2212-12810
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Lintao Zhang, Lihong Wang, Minhui Yu, Rong Wu, David C. Steffens, Guy G. Potter, Mingxia Liu:
Hybrid Representation Learning for Cognitive Diagnosis in Late-Life Depression Over 5 Years with Structural MRI. CoRR abs/2212.12810 (2022)
2021
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Ziqi Xie, Lihong Wang:
Active Block Diagonal Subspace Clustering. IEEE Access 9: 83976-83992 (2021)
[j41]
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Jiawei Sheng, Qian Li, Yiming Hei, Shu Guo, Bowen Yu, Lihong Wang, Min He, Tingwen Liu, Hongbo Xu:
A Joint Learning Framework for the CCKS-2020 Financial Event Extraction Task. Data Intell. 3(3): 444-459 (2021)
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Qianren Mao, Xi Li, Hao Peng, Jianxin Li, Dongxiao He, Shu Guo, Min He, Lihong Wang:
Event prediction based on evolutionary event ontology knowledge. Future Gener. Comput. Syst. 115: 76-89 (2021)
[j39]
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Jianxuan Li, Sijing Liu, Yizhao Zhao, Zaiwu Gong, Guo Wei, Lihong Wang:
Water-Energy-Food Nexus and Eco-Sustainability: A Three-Stage Dual-Boundary Network DEA Model for Evaluating Jiangsu Province in China. Int. J. Comput. Intell. Syst. 14(1): 1501-1515 (2021)
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Hao Peng, Jianxin Li, Senzhang Wang, Lihong Wang, Qiran Gong, Renyu Yang, Bo Li, Philip S. Yu, Lifang He:
Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification. IEEE Trans. Knowl. Data Eng. 33(6): 2505-2519 (2021)
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Ting Bao, Lei Xu, Liehuang Zhu, Lihong Wang, Tielei Li:
Successive Point-of-Interest Recommendation With Personalized Local Differential Privacy. IEEE Trans. Veh. Technol. 70(10): 10477-10488 (2021)
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Jiawei Sheng, Shu Guo, Bowen Yu, Qian Li, Yiming Hei, Lihong Wang, Tingwen Liu, Hongbo Xu:
CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction. ACL/IJCNLP (Findings) 2021: 164-174
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Yiming Hei, Qian Li, Caibo Zhou, Rui Sun, Jinglin Yang, Jiawei Sheng, Shu Guo, Lihong Wang:
A Dual-Classifier Model for General Fine-Grained Event Detection Task. CCKS (Evaluation Track) 2021: 18-27
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Hongren Huang, Shu Guo, Chen Li, Jiawei Sheng, Lihong Wang, Jianxin Li, Jing Liu, Shenghai Zhong:
Two-tier Graph Contextual Embedding for Cross-device User Matching. CIKM 2021: 730-739
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Chen Li, Xutan Peng, Hao Peng, Jia Wu, Lihong Wang, Philip S. Yu, Jianxin Li, Lichao Sun:
Graph-based Semi-Supervised Learning by Strengthening Local Label Consistency. CIKM 2021: 3201-3205
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Dan Luo, Peng Zhang, Lu Ma, Xi Zhu, Meilin Zhou, Qi Liang, Bin Wang, Lihong Wang:
Evidence Augment for Multiple-Choice Machine Reading Comprehension by Weak Supervision. ICANN (5) 2021: 357-368
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Boxin Li, Tingwen Liu, Bin Wang, Lihong Wang:
Enhancing Deep Paraphrase Identification via Leveraging Word Alignment Information. ICASSP 2021: 7843-7847
[c49]
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Zehai Zhou, Wenxuan Xue, Kai Chen, Lihong Wang, Ying Chen, Yanbin Huang, Yihao Lin, Fangqiang Qian, Xingjian Zhang:
The impact of international crude oil prices on the international coal prices: A research based on Quantile Regression Model. ICCIR 2021: 421-424
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Chen Li, Xutan Peng, Hao Peng, Jianxin Li, Lihong Wang:
TextGTL: Graph-based Transductive Learning for Semi-supervised Text Classification via Structure-Sensitive Interpolation. IJCAI 2021: 2680-2686
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Erkun Yang, Lihong Wang, David C. Steffens, Guy G. Potter, Mingxia Liu:
Deep Factor Regression For Computer-Aided Analysis of Major Depressive Disorders With Structural MRI Data. ISBI 2021: 208-211
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Lihong Wang, Juwei Yue, Shu Guo, Jiawei Sheng, Qianren Mao, Zhenyu Chen, Shenghai Zhong, Chen Li:
Multi-level Connection Enhanced Representation Learning for Script Event Prediction. WWW 2021: 3524-3533
[i13]
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  - journals/corr/abs-2106-03151
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Qianren Mao, Xi Li, Hao Peng, Bang Liu, Shu Guo, Jianxin Li, Lihong Wang, Philip S. Yu:
Attend and Select: A Segment Attention based Selection Mechanism for Microblog Hashtag Generation. CoRR abs/2106.03151 (2021)
[i12]
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  - journals/corr/abs-2106-12384
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Qian Li, Hao Peng, Jianxin Li, Yuanxing Ning, Lihong Wang, Philip S. Yu, Zheng Wang:
Reinforcement Learning-based Dialogue Guided Event Extraction to Exploit Argument Relations. CoRR abs/2106.12384 (2021)
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  - journals/corr/abs-2107-01583
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Jiawei Sheng, Shu Guo, Bowen Yu, Qian Li, Yiming Hei, Lihong Wang, Tingwen Liu, Hongbo Xu:
CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction. CoRR abs/2107.01583 (2021)
[i10]
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  - journals/corr/abs-2107-02126
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Qian Li, Hao Peng, Jianxin Li, Yiming Hei, Rui Sun, Jiawei Sheng, Shu Guo, Lihong Wang, Philip S. Yu:
Deep Learning Schema-based Event Extraction: Literature Review and Current Trends. CoRR abs/2107.02126 (2021)
[i9]
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  - journals/corr/abs-2108-07548
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Yiming Hei, Renyu Yang, Hao Peng, Lihong Wang, Xiaolin Xu, Jianwei Liu, Hong Liu, Jie Xu, Lichao Sun:
HAWK: Rapid Android Malware Detection through Heterogeneous Graph Attention Networks. CoRR abs/2108.07548 (2021)
2020
[j36]
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Kai Yu, Lihong Wang, Yanwei Yu:
Ordering-Based Kalman Filter Selective Ensemble for Classification. IEEE Access 8: 9715-9727 (2020)
[j35]
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Hao Peng, Jianxin Li, Hao Yan, Qiran Gong, Senzhang Wang, Lin Liu, Lihong Wang, Xiang Ren:
Dynamic network embedding via incremental skip-gram with negative sampling. Sci. China Inf. Sci. 63(10): 1-19 (2020)
[j34]
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Hao Peng, Hongfei Wang, Bowen Du, Md. Zakirul Alam Bhuiyan, Hongyuan Ma, Jianwei Liu, Lihong Wang, Zeyu Yang, Linfeng Du, Senzhang Wang, Philip S. Yu:
Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting. Inf. Sci. 521: 277-290 (2020)
[j33]
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Chen Li, Xutan Peng, Shanghang Zhang, Hao Peng, Philip S. Yu, Min He, Linfeng Du, Lihong Wang:
Modeling relation paths for knowledge base completion via joint adversarial training. Knowl. Based Syst. 201-202: 105865 (2020)
[j32]
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Yongchang Wei, Fangyu Chen, Hailong Xue, Lihong Wang:
Research on structural dynamics in Chinese automobile standard citation network. Neural Comput. Appl. 32(1): 31-39 (2020)
[j31]
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Bowen Du, Hao Peng, Senzhang Wang, Md. Zakirul Alam Bhuiyan, Lihong Wang, Qiran Gong, Lin Liu, Jing Li:
Deep Irregular Convolutional Residual LSTM for Urban Traffic Passenger Flows Prediction. IEEE Trans. Intell. Transp. Syst. 21(3): 972-985 (2020)
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Man Li, Lihong Wang:
Soft Subspace Clustering With Entropy Constraints. CISP-BMEI 2020: 920-925
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Ziqi Xie, Lihong Wang:
Active Structure Learning for Block Diagonal Subspace Clustering. CISP-BMEI 2020: 926-931
[c43]
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Shu Guo, Lin Li, Zhen Hui, Lingshuai Meng, Bingnan Ma, Wei Liu, Lihong Wang, Haibin Zhai, Hong Zhang:
Knowledge Graph Embedding Preserving Soft Logical Regularity. CIKM 2020: 425-434
[c42]
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Jiawei Sheng, Shu Guo, Zhenyu Chen, Juwei Yue, Lihong Wang, Tingwen Liu, Hongbo Xu:
Adaptive Attentional Network for Few-Shot Knowledge Graph Completion. EMNLP (1) 2020: 1681-1691
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Boxin Li, Tingwen Liu, Bin Wang, Lihong Wang:
Label Noise Robust Curriculum for Deep Paraphrase Identification. IJCNN 2020: 1-8
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Chen Li, Xutan Peng, Hao Peng, Jianxin Li, Lihong Wang, Philip S. Yu:
Forming an Electoral College for a Graph: a Heuristic Semi-supervised Learning Framework. CoRR abs/2006.06469 (2020)
[i7]
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Jiawei Sheng, Shu Guo, Zhenyu Chen, Juwei Yue, Lihong Wang, Tingwen Liu, Hongbo Xu:
Adaptive Attentional Network for Few-Shot Knowledge Graph Completion. CoRR abs/2010.09638 (2020)

2010 – 2019

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What is the meaning of the colors in the publication lists?

2019
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Caixia Feng, Taixia Shi, Lihong Wang:
Novel Broadband Bow-Tie Antenna Based on Complementary Split-Ring Resonators Enhanced Substrate-Integrated Waveguide. IEEE Access 7: 12397-12404 (2019)
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Shuwei Xu, Lihong Wang, R. Erdélyi, Jingsong He:
Degeneracy in bright-dark solitons of the Derivative Nonlinear Schrödinger equation. Appl. Math. Lett. 87: 64-72 (2019)
[j28]
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Leiming Jiang, Xuexin Yu, Xueyan Ma, Haizhou Liu, Shunheng Zhou, Xu Zhou, Qianqian Meng, Lihong Wang, Wei Jiang:
Identification of transcription factor-miRNA-lncRNA feed-forward loops in breast cancer subtypes. Comput. Biol. Chem. 78: 1-7 (2019)
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Lijuan Guo, Lihong Wang, Yi Cheng, Jingsong He:
Higher-order rogue waves and modulation instability of the two-component derivative nonlinear Schrödinger equation. Commun. Nonlinear Sci. Numer. Simul. 79: 104915 (2019)
[j26]
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Jie Gu, Lihong Wang, Huiwen Wang, Shanshan Wang:
A novel approach to intrusion detection using SVM ensemble with feature augmentation. Comput. Secur. 86: 53-62 (2019)
[j25]
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Peiyuan Sun, Jianxin Li, Md. Zakirul Alam Bhuiyan, Lihong Wang, Bo Li:
Modeling and clustering attacker activities in IoT through machine learning techniques. Inf. Sci. 479: 456-471 (2019)
[c40]
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Weijie Gou, Lihong Wang, Zhaokai An:
Design of Temperature Control System for BIW Phosphating Process. CSIA 2019: 962-970
[c39]
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Lihong Wang, Kuiliang Xia:
Data fusion algorithms for wireless sensor networks based on deep learning model. HP3C 2019: 155-158
[c38]
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Lihong Wang, Xue Han:
Data Fusion for Wireless Sensor Networks Based on Hybrid Ant Colony Algorithm. ICGDA 2019: 52-55
[c37]
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Qianren Mao, Jianxin Li, Senzhang Wang, Yuanning Zhang, Hao Peng, Min He, Lihong Wang:
Aspect-Based Sentiment Classification with Attentive Neural Turing Machines. IJCAI 2019: 5139-5145
[c36]
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Hao Yan, Hao Peng, Chen Li, Jianxin Li, Lihong Wang:
Bibliographic Name Disambiguation with Graph Convolutional Network. WISE 2019: 538-551
[i6]
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Hao Peng, Jianxin Li, Hao Yan, Qiran Gong, Senzhang Wang, Lin Liu, Lihong Wang, Xiang Ren:
Dynamic Network Embedding via Incremental Skip-gram with Negative Sampling. CoRR abs/1906.03586 (2019)
[i5]
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Hao Peng, Jianxin Li, Qiran Gong, Senzhang Wang, Lifang He, Bo Li, Lihong Wang, Philip S. Yu:
Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification. CoRR abs/1906.04898 (2019)
2018
[j24]
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Lihong Wang, Qiang Li, Yanwei Yu, Jinglei Liu:
Region compatibility based stability assessment for decision trees. Expert Syst. Appl. 105: 112-128 (2018)
[j23]
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Jianxin Li, Hao Peng, Erica Yang, Chunming Hu, Shenghai Zhong, Lihong Wang:
Eagle+: A fast incremental approach to automaton and table online updates for cloud services. Future Gener. Comput. Syst. 80: 275-285 (2018)
[j22]
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Lihong Wang, Zaiwu Gong, Ning Zhang:
Consensus Modelling on Interval-Valued Fuzzy Preference Relations with Normal Distribution. Int. J. Comput. Intell. Syst. 11(1): 706-715 (2018)
[j21]
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Chen Li, Bo Li, Md. Zakirul Alam Bhuiyan, Lihong Wang, Jinghui Si, Guanyu Wei, Jianxin Li:
FluteDB: An efficient and scalable in-memory time series database for sensor-cloud. J. Parallel Distributed Comput. 122: 95-108 (2018)
[j20]
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Xuesong Li, Xiaodong Ma, Lyu Li, Zhe Zhang, Xue Zhang, Yan Tong, Lihong Wang, Sen Song, Hua Guo:
Dual-TRACER: High resolution fMRI with constrained evolution reconstruction. NeuroImage 164: 172-182 (2018)
[j19]
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Feifan Jiang, Lihong Wang:
Adjusted blockwise empirical likelihood for long memory time series models. Stat. Methods Appl. 27(2): 319-332 (2018)
[c35]
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Shu Guo, Quan Wang, Lihong Wang, Bin Wang, Li Guo:
Knowledge Graph Embedding With Iterative Guidance From Soft Rules. AAAI 2018: 4816-4823
[c34]
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Jing Li, Hao Peng, Lin Liu, Guixi Xiong, Bowen Du, Hongyuan Ma, Lihong Wang, Md. Zakirul Alam Bhuiyan:
Graph CNNs for Urban Traffic Passenger Flows Prediction. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 29-36
[c33]
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Hao Peng, Jianxin Li, Yu He, Yaopeng Liu, Mengjiao Bao, Lihong Wang, Yangqiu Song, Qiang Yang:
Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN. WWW 2018: 1063-1072
[i4]
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Peiyuan Sun, Jianxin Li, Yongyi Mao, Richong Zhang, Lihong Wang:
Inferring Multiplex Diffusion Network via Multivariate Marked Hawkes Process. CoRR abs/1809.07688 (2018)
[i3]
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Chen Li, Xutan Peng, Shanghang Zhang, Jianxin Li, Lihong Wang:
Hierarchical Attention Networks for Knowledge Base Completion via Joint Adversarial Training. CoRR abs/1810.06033 (2018)
[i2]
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Hao Peng, Jianxin Li, Qiran Gong, Yuanxing Ning, Lihong Wang:
Graph Convolutional Neural Networks via Motif-based Attention. CoRR abs/1811.08270 (2018)
2017
[j18]
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Enyu Dai, Feng Yang, Jing Wang, Xu Zhou, Qian Song, Weiwei An, Lihong Wang, Wei Jiang:
ncDR: a comprehensive resource of non-coding RNAs involved in drug resistance. Bioinform. 33(24): 4010-4011 (2017)
[j17]
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Lijuan Guo, Lihong Wang, Yi Cheng, Jingsong He:
High-order rogue wave solutions of the classical massive Thirring model equations. Commun. Nonlinear Sci. Numer. Simul. 52: 11-23 (2017)
[j16]
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Jianpeng Qi, Yanwei Yu, Lihong Wang, Jinglei Liu, Yingjie Wang:
An effective and efficient hierarchical K-means clustering algorithm. Int. J. Distributed Sens. Networks 13(8) (2017)
[j15]
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Shu Guo, Quan Wang, Bin Wang, Lihong Wang, Li Guo:
SSE: Semantically Smooth Embedding for Knowledge Graphs. IEEE Trans. Knowl. Data Eng. 29(4): 884-897 (2017)
[c32]
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Juan Wei, Shixuan Feng, Lihong Wang:
Joint Algorithm for MIMO-OFDM System Based on the Idea of Layered Iteration. ChinaCom (1) 2017: 106-113
[c31]
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Juan Wei, Lihong Wang, Shixuan Feng:
Routing Protocol Design for LEO Satellite Networks with Uni-directional Links. ChinaCom (1) 2017: 409-416
[c30]
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Zaiwu Gong, Wei Zhao, Ge Gao, Mei Cai, Lihong Wang:
An alternative-consensus optimization model with crisp and interval opinions. FUZZ-IEEE 2017: 1-4
[c29]
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Hongyuan Ma, Ou Tao, Chunlu Zhao, Pengxiao Li, Lihong Wang:
Impact of replacement policies on static-dynamic query results cache in web search engines. ISI 2017: 137-139
[i1]
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Shu Guo, Quan Wang, Lihong Wang, Bin Wang, Li Guo:
Knowledge Graph Embedding with Iterative Guidance from Soft Rules. CoRR abs/1711.11231 (2017)
2016
[j14]
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Lixiang Tan, Lihong Wang:
The LASSO Method for Bilinear Time Series Models. Commun. Stat. Simul. Comput. 45(3): 1072-1082 (2016)
[j13]
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Hui Guo, Shilong Ji, Lihong Wang:
Outage Performance of Cognitive Multi-Hop Network under Interference Constraints over Nakagami-m Fading. J. Commun. 11(7): 686-692 (2016)
[c28]
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Jianpeng Qi, Yanwei Yu, Lihong Wang, Jinglei Liu:
K*-Means: An Effective and Efficient K-Means Clustering Algorithm. BDCloud-SocialCom-SustainCom 2016: 242-249
[c27]
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Shu Guo, Boyang Ding, Quan Wang, Lihong Wang, Bin Wang:
Knowledge Base Completion via Rule-Enhanced Relational Learning. CCKS 2016: 219-227
[c26]
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Yongqin Qiu, Sixu Li, Wenjing Yang, Rui Li, Lihong Wang, Bin Wang:
Time-Aware First Story Detection in Twitter Stream. DSC 2016: 608-613
[c25]
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  - conf/emnlp/GuoWWWG16
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Shu Guo, Quan Wang, Lihong Wang, Bin Wang, Li Guo:
Jointly Embedding Knowledge Graphs and Logical Rules. EMNLP 2016: 192-202
[c24]
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  - conf/sigir/JiangLSLLMW16
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Bo Jiang, Jiguang Liang, Ying Sha, Rui Li, Wei Liu, Hongyuan Ma, Lihong Wang:
Retweeting Behavior Prediction Based on One-Class Collaborative Filtering in Social Networks. SIGIR 2016: 977-980
[c23]
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Bo Jiang, Jiguang Liang, Ying Sha, Lihong Wang, Zhixin Kuang, Rui Li, Peng Li:
Unifying User and Message Clustering Information for Retweeting Behavior Prediction. WAIM (2) 2016: 291-303
[c22]
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Bo Jiang, Jiguang Liang, Ying Sha, Rui Li, Lihong Wang:
Domain Dictionary-Based Topic Modeling for Social Text. WISE (1) 2016: 109-123
[c21]
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Yongqin Qiu, Rui Li, Lihong Wang, Bin Wang:
Learning Event Profile for Improving First Story Detection in Twitter Stream. WISE (1) 2016: 505-512
2015
[c20]
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  - conf/acl/GuoWWWG15
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Shu Guo, Quan Wang, Bin Wang, Lihong Wang, Li Guo:
Semantically Smooth Knowledge Graph Embedding. ACL (1) 2015: 84-94
[c19]
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  - conf/apweb/JiangSW15
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Bo Jiang, Ying Sha, Lihong Wang:
A Multi-view Retweeting Behaviors Prediction in Social Networks. APWeb 2015: 756-767
[c18]
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Yan Niu, Wei Liu, Fei Xiang, Lihong Wang:
Fast Memory Deduplication of Disk Cache Pages in Virtual Environments. BDCloud 2015: 31-37
[c17]
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  - conf/ccece/WangTY15
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Lihong Wang, Haikun Ten, Guanghua Yu:
A hybrid genetic algorithm for Job-Shop scheduling problem. CCECE 2015: 271-274
[c16]
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  - conf/cikm/JiangLSW15
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Bo Jiang, Jiguang Liang, Ying Sha, Lihong Wang:
Message Clustering based Matrix Factorization Model for Retweeting Behavior Prediction. CIKM 2015: 1843-1846
[c15]
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Bo Jiang, Ying Sha, Lihong Wang:
Predicting User Mention Behavior in Social Networks. NLPCC 2015: 146-158
[c14]
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  - conf/smp/QiuLLWW15
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Yongqin Qiu, Sixu Li, Rui Li, Lihong Wang, Bin Wang:
Nugget-Based First Story Detection in Twitter Stream. SMP 2015: 74-82
2014
[j12]
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Hui Guo, Lihong Wang, Shangqing Zhao:
Supplementary Proof of Upper and Lower Bounds of Two-Way Opportunistic Amplify-and-Forward Relaying Channels. IEEE Commun. Lett. 18(3): 401-402 (2014)
[j11]
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Peipeng Liu, Lihong Wang, Qingfeng Tan, Quangang Li, Xuebin Wang, Jinqiao Shi:
Empirical Measurement and Analysis of I2P Routers. J. Networks 9(9): 2269-2278 (2014)
[j10]
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Lihong Wang:
Photo acoustic tomography. Scholarpedia 9(2): 10278 (2014)
[c13]
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  - conf/sigir/MaLWSBWW14
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Hongyuan Ma, Wei Liu, Bingjie Wei, Liang Shi, Xiuguo Bao, Lihong Wang, Bin Wang:
PAAP: prefetch-aware admission policies for query results cache in web search engines. SIGIR 2014: 983-986
2013
[j9]
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Wei Jiang, Yan Zhang, Fanlin Meng, Baofeng Lian, Xiaowen Chen, Xuexin Yu, Enyu Dai, Shuyuan Wang, Xinyi Liu, Xiang Li, Lihong Wang, Xia Li:
Identification of active transcription factor and miRNA regulatory pathways in Alzheimer's disease. Bioinform. 29(20): 2596-2602 (2013)
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Xintao Hu, Dajiang Zhu, Peili Lv, Kaiming Li, Junwei Han, Lihong Wang, Dinggang Shen, Lei Guo, Tianming Liu:
Fine-Granularity Functional Interaction Signatures for Characterization of Brain Conditions. Neuroinformatics 11(3): 301-317 (2013)
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Peipeng Liu, Jinqiao Shi, Fei Xu, Lihong Wang, Li Guo:
Design and Evaluation of Access Control Model Based on Classification of Users' Network Behaviors. APWeb 2013: 332-339
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Peipeng Liu, Jinqiao Shi, Lihong Wang, Xiao Wang, Qingfeng Tan:
IX-Level Adversaries on Entry- and Exit-Transmission Paths in Tor Network. NAS 2013: 166-172
2012
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Chong-Yaw Wee, Pew-Thian Yap, Daoqiang Zhang, Kevin Denny, Jeffrey N. Browndyke, Guy G. Potter, Kathleen Welsh-Bohmer, Lihong Wang, Dinggang Shen:
Identification of MCI individuals using structural and functional connectivity networks. NeuroImage 59(3): 2045-2056 (2012)
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Xiuwen Wang, Shoufeng Cao, Lihong Wang:
Research and implementation on an admission control policy for temporally correlated workloads in virtual application environments. CCIS 2012: 454-458
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Peipeng Liu, Jinqiao Shi, Lihong Wang, Li Guo:
An Efficient Ellipse-Shaped Blobs Detection Algorithm for Breaking Facebook CAPTCHA. ISCTCS 2012: 420-428
[c8]
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Chong-Yaw Wee, Pew-Thian Yap, Daoqiang Zhang, Lihong Wang, Dinggang Shen:
Constrained Sparse Functional Connectivity Networks for MCI Classification. MICCAI (2) 2012: 212-219
2011
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Yichao Ye, Lihong Wang, Zhaowei Chang, Jingsong He:
An efficient algorithm of logarithmic transformation to Hirota bilinear form of KdV-type bilinear equation. Appl. Math. Comput. 218(5): 2200-2209 (2011)
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Chong-Yaw Wee, Pew-Thian Yap, Wenbin Li, Kevin Denny, Jeffrey N. Browndyke, Guy G. Potter, Kathleen Welsh-Bohmer, Lihong Wang, Dinggang Shen:
Enriched white matter connectivity networks for accurate identification of MCI patients. NeuroImage 54(3): 1812-1822 (2011)
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Chong-Yaw Wee, Pew-Thian Yap, Daoqiang Zhang, Kevin Denny, Lihong Wang, Dinggang Shen:
Identification of Individuals with MCI via Multimodality Connectivity Networks. MICCAI (2) 2011: 277-284
2010
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Lanfang Lou, Jianhai Hou, Qingxian Pan, Lihong Wang:
Application of cluster in quantitative association rules mining. FSKD 2010: 1474-1478
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Xuemei Li, Lihong Wang, Yibin Song, Xianjia Zhao:
A hybrid constrained semi-supervised clustering algorithm. FSKD 2010: 1597-1601
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Chong-Yaw Wee, Pew-Thian Yap, Jeffery N. Browndyke, Guy G. Potter, David C. Steffens, Kathleen Welsh-Bohmer, Lihong Wang, Dinggang Shen:
Accurate Identification of MCI Patients via Enriched White-Matter Connectivity Network. MLMI 2010: 140-147

2000 – 2009

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2008
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Wei Jiang, Xia Li, Shaoqi Rao, Lihong Wang, Lei Du, Chuanxing Li, Chao Wu, Hongzhi Wang, Yadong Wang, Baofeng Yang:
Constructing disease-specific gene networks using pair-wise relevance metric: Application to colon cancer identifies interleukin 8, desmin and enolase 1 as the central elements. BMC Syst. Biol. 2: 72 (2008)
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Lihong Wang:
Change-Point Estimation in Long Memory Nonparametric Models with Applications. Commun. Stat. Simul. Comput. 37(1): 48-61 (2008)
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Shuanhu Wu, Qingshang Zeng, Yinbin Song, Lihong Wang, Yanjie Zhang:
A New Strategy for Pridicting Eukaryotic Promoter Based on Feature Boosting. ISNN (1) 2008: 482-490
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Fengna Gu, Zhibin Zhang, Lihong Wang:
A Trace-Driven Simulation Study of Load Balancing on Distributed NIDS. NAS 2008: 159-160
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Wei Liu, Songbo Tan, Hongbo Xu, Lihong Wang:
Splog Filtering Based on Writing Consistency. Web Intelligence 2008: 227-233
2006
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Xia Li, Shaoqi Rao, Wei Jiang, Chuanxing Li, Yun Xiao, Zheng Guo, Qingpu Zhang, Lihong Wang, Lei Du, Jing Li, Li Li, Tianwen Zhang, Qing K. Wang:
Discovery of time-delayed gene regulatory networks based on temporal gene expression profiling. BMC Bioinform. 7: 26 (2006)
2002
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Lihong Wang:
Asymptotics of statistical estimates in stochastic programming problems with long-range dependent samples. Math. Methods Oper. Res. 55(1): 37-54 (2002)

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