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2020 – today
- 2024
[j20]Rui Jiang, Xiaoxu Yin, Pengshuai Yang, Lingchao Cheng, Juan Hu, Jiao Yang, Ying Wang, Xiaodan Fu, Li Shang, Liling Li, Wei Lin, Huan Zhou, Fufeng Chen, Xuegong Zhang, Zhongliang Hu, Hairong Lv:
A transformer-based weakly supervised computational pathology method for clinical-grade diagnosis and molecular marker discovery of gliomas. Nat. Mac. Intell. 6(8): 876-891 (2024)- [i7]Tianyu Zhang, Chengbin Hou, Rui Jiang, Xuegong Zhang, Chenghu Zhou, Ke Tang, Hairong Lv:
Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs. CoRR abs/2402.17791 (2024) - [i6]Tianyu Zhang, Yuxiang Ren, Chengbin Hou, Hairong Lv, Xuegong Zhang:
Molecular Graph Representation Learning Integrating Large Language Models with Domain-specific Small Models. CoRR abs/2408.10124 (2024) - [i5]Wenhao Mao, Chengbin Hou, Tianyu Zhang, Xinyu Lin, Ke Tang, Hairong Lv:
Parse Trees Guided LLM Prompt Compression. CoRR abs/2409.15395 (2024) - 2023
- [j19]Tianheng Wang, Ling Zheng
, Hairong Lv, Chenghu Zhou, Yunheng Shen, Qinjun Qiu, Yan Li, Pufan Li, Guorui Wang:
A distributed joint extraction framework for sedimentological entities and relations with federated learning. Expert Syst. Appl. 213(Part): 119216 (2023) - [j18]Xuegong Zhang, Lei Wei, Rui Jiang, Xiaowo Wang, Jin Gu, Zhen Xie, Hairong Lv:
Building digital life systems for future biology and medicine. Quant. Biol. 11(3): 207-213 (2023) - [c18]Feng Wang, Manling Li, Xudong Lin, Hairong Lv, Alexander G. Schwing, Heng Ji:
Learning to Decompose Visual Features with Latent Textual Prompts. ICLR 2023 - [i4]Chengbin Hou, Xinyu Lin, Hanhui Huang, Sheng Xu, Junxuan Fan, Yukun Shi, Hairong Lv:
Fossil Image Identification using Deep Learning Ensembles of Data Augmented Multiviews. CoRR abs/2302.08062 (2023) - [i3]Yunheng Shen, Haoxiang Wang, Hairong Lv:
Federated Learning with Classifier Shift for Class Imbalance. CoRR abs/2304.04972 (2023) - 2022
- [j17]Qijin Yin, Qiao Liu, Zhuoran Fu, Wanwen Zeng, Boheng Zhang, Xuegong Zhang, Rui Jiang, Hairong Lv:
scGraph: a graph neural network-based approach to automatically identify cell types. Bioinform. 38(11): 2996-3003 (2022) - [j16]Pengshuai Yang, Xiaoxu Yin, Haiming Lu, Zhongliang Hu, Xuegong Zhang, Rui Jiang, Hairong Lv:
CS-CO: A Hybrid Self-Supervised Visual Representation Learning Method for H&E-stained Histopathological Images. Medical Image Anal. 81: 102539 (2022) - [j15]Xiaoyang Chen, Shengquan Chen, Shuang Song, Zijing Gao, Lin Hou, Xuegong Zhang, Hairong Lv, Rui Jiang:
Cell type annotation of single-cell chromatin accessibility data via supervised Bayesian embedding. Nat. Mach. Intell. 4(2): 116-126 (2022) - [j14]Qinjun Qiu, Zhong Xie, Shu Wang, Yunqiang Zhu, Hairong Lv, Kai Sun:
ChineseTR: A weakly supervised toponym recognition architecture based on automatic training data generator and deep neural network. Trans. GIS 26(3): 1256-1279 (2022) - [j13]Jinxiang Ou, Yunheng Shen, Feng Wang, Qiao Liu, Xuegong Zhang, Hairong Lv:
AggEnhance: Aggregation Enhancement by Class Interior Points in Federated Learning with Non-IID Data. ACM Trans. Intell. Syst. Technol. 13(6): 104:1-104:25 (2022) - [c17]Xian Wei, Yangyu Xu, Yanhui Huang, Hairong Lv, Hai Lan, Mingsong Chen, Xuan Tang:
Learning Extremely Lightweight and Robust Model with Differentiable Constraints on Sparsity and Condition Number. ECCV (4) 2022: 690-707 - [i2]Feng Wang, Manling Li, Xudong Lin, Hairong Lv, Alexander G. Schwing, Heng Ji:
Learning to Decompose Visual Features with Latent Textual Prompts. CoRR abs/2210.04287 (2022) - 2021
- [j12]Jiaqi Li, Lei Wei, Xianglin Zhang, Wei Zhang, Haochen Wang, Bixi Zhong, Zhen Xie, Hairong Lv, Xiaowo Wang:
DISMIR: Deep learning-based noninvasive cancer detection by integrating DNA sequence and methylation information of individual cell-free DNA reads. Briefings Bioinform. 22(6) (2021) - [j11]Wei Zhang, Lei Wei, Jiaqi Huang, Bixi Zhong, Jiaqi Li, Hanwen Xu, Shuying He, Yu Liu, Juhong Liu, Hairong Lv, Xiaowo Wang:
cfDNApipe: a comprehensive quality control and analysis pipeline for cell-free DNA high-throughput sequencing data. Bioinform. 37(22): 4251-4252 (2021) - [j10]Shengquan Chen, Mingxin Gan, Hairong Lv, Rui Jiang:
DeepCAPE: A Deep Convolutional Neural Network for the Accurate Prediction of Enhancers. Genom. Proteom. Bioinform. 19(4): 565-577 (2021) - [c16]Feng Wang, Jinxiang Ou, Hairong Lv:
Gradient Boosting Forest: a Two-Stage Ensemble Method Enabling Federated Learning of GBDTs. ICONIP (2) 2021: 75-86 - [c15]Feng Wang, Guoyizhe Wei, Qiao Liu, Jinxiang Ou, Xian Wei, Hairong Lv:
Boost Neural Networks by Checkpoints. NeurIPS 2021: 19719-19729 - [i1]Feng Wang, Guoyizhe Wei, Qiao Liu, Jinxiang Ou, Xian Wei, Hairong Lv:
Boost Neural Networks by Checkpoints. CoRR abs/2110.00959 (2021)
2010 – 2019
- 2019
- [j9]Pengyu Chen, Qiao Liu, Lan Wei, Beier Zhao, Yin Jia, Hairong Lv, Xiaolu Fei:
Automatically Structuring on Chinese Ultrasound Report of Cerebrovascular Diseases via Natural Language Processing. IEEE Access 7: 89043-89050 (2019) - [j8]Qiao Liu, Hairong Lv, Rui Jiang:
hicGAN infers super resolution Hi-C data with generative adversarial networks. Bioinform. 35(14): i99-i107 (2019) - [j7]Ran Li, Xiangrui Zeng, Stephanie E. Sigmund, Ruogu Lin, Bo Zhou, Chang Liu, Kaiwen Wang, Rui Jiang, Zachary Freyberg, Hairong Lv, Min Xu:
Automatic localization and identification of mitochondria in cellular electron cryo-tomography using faster-RCNN. BMC Bioinform. 20-S(3): 75-85 (2019) - [j6]Qijin Yin, Mengmeng Wu, Qiao Liu, Hairong Lv, Rui Jiang:
DeepHistone: a deep learning approach to predicting histone modifications. BMC Genom. 20(S2) (2019) - [c14]Pengshuai Yang, Yupeng Zhai, Lin Li, Hairong Lv, Jigang Wang, Chengzhan Zhu, Rui Jiang:
Liver Histopathological Image Retrieval Based on Deep Metric Learning. BIBM 2019: 914-919 - [c13]Jie Wang, Hairong Lv, Rui Jiang, Zhen Xie:
Rule-Based Method to Develop Question-Answer Dataset from Chest X-Ray Reports. CBMS 2019: 26-31 - [c12]Yang Yang, Jialiang Chen, Xianghan Zheng, Ximeng Liu, Wenzhong Guo, Hairong Lv:
Blockchain-Based Incentive Announcement System for Internet of Vehicles. ISPA/BDCloud/SocialCom/SustainCom 2019: 817-824 - 2012
- [j5]Roger Chang, Yu Yuan, Hairong Lv, Wen Jun Yin, Shun Xiang Yang:
Selling the Smart Grid - Part 1: Why Consumers Must Buy In for the Smart Grid to Succeed. IEEE Consumer Electron. Mag. 1(2): 24-31 (2012) - [j4]Yu Yuan, Roger Chang, Hairong Lv, Wen Jun Yin, Shun Xiang Yang:
Selling the Smart Grid-Part 2: How Consumers Will Interact with the Smart Grid. IEEE Consumer Electron. Mag. 1(3): 20-28 (2012) - 2010
- [j3]Guangyu He, Yingyun Sun, Qiang Lu, T. Li, Hairong Lv, Wen Jun Yin, J. Dong:
Multi-index and self-approximate-optimal operation for a smart electrical power grid. IBM J. Res. Dev. 54(6): 2 (2010) - [c11]Hairong Lv, Xinxin Bai, Wen Jun Yin, Jin Dong:
Off-Line Signature Verification Using Graphical Model. ICPR 2010: 3784-3788
2000 – 2009
- 2009
- [c10]Hairong Lv, Wen Jun Yin, Jin Dong:
Off-line signature verification based on deformable grid partition and Hidden Markov Models. ICME 2009: 374-377 - [c9]Zhonglin Lin, Gang Chen, Xinxin Bai, Hairong Lv, Wenjun Yin, Jin Dong:
Customer clustering using semi-supervised geographic information. SOLI 2009: 465-470 - [c8]Wenjun Yin, Hairong Lv, Feng Jin, Jin Dong, Liying Shangguan:
Distribution maintenance scheduling using ant colony algorithm (ACA). SOLI 2009: 624-628 - 2008
- [j2]Yafeng Hu, Hairong Lv, Xianda Zhang:
Comments on "An analytical algorithm for generalized low-rank approximations of matrices". Pattern Recognit. 41(6): 2133-2135 (2008) - [c7]Xinxin Bai, Minghua Zhu, Longjun Cai, Wen Jun Yin, Jin Dong, Hairong Lv:
Data Model Design of Strategic Analysis Services for Specific Customer Oriented Industries. IEEE SCC (2) 2008: 257-264 - [c6]Hairong Lv, Zhonglin Lin, Wen Jun Yin, Jin Dong:
Emotion recognition based on pressure sensor keyboards. ICME 2008: 1089-1092 - [c5]Hairong Lv, Xinxin Bai, Wen Jun Yin, Jin Dong:
Simulation based sales forecasting on retail small stores. WSC 2008: 1711-1716 - 2007
- [c4]Hui Han, Binghuan Mao, Hairong Lv, Qing Zhuo, Wenyuan Wang:
One-Sided Fuzzy SVM Based on Sphere for Imbalanced Data Sets Learning. FSKD (2) 2007: 166-170 - 2006
- [c3]Hairong Lv, Wenyuan Wang:
On-Line Signature Verification Based on Dynamic Bayesian Network. ICNC (1) 2006: 507-510 - [c2]Yafeng Hu, Feng Zhu, Hairong Lv, Xianda Zhang:
Handwritten Digit Recognition Using Low Rank Approximation Based Competitive Neural Network. ISNN (2) 2006: 287-292 - 2005
- [j1]Hairong Lv, Wenyuan Wang, Chong Wang, Qing Zhuo:
Off-line Chinese signature verification based on support vector machines. Pattern Recognit. Lett. 26(15): 2390-2399 (2005) - [c1]Hairong Lv, Wenyuan Wang:
Handwritten Digit Recognition with Kernel-Based LVQ Classifier in Input Space. ISNN (2) 2005: 203-208
Coauthor Index
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