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Hairong Lv
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Journal Articles
- 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) - 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) - 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) - 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) - 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) - 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) - 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)
Conference and Workshop Papers
- 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 - 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 - 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 - 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 - 2010
- [c11]Hairong Lv, Xinxin Bai, Wen Jun Yin, Jin Dong:
Off-Line Signature Verification Using Graphical Model. ICPR 2010: 3784-3788 - 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
- [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
- [c1]Hairong Lv, Wenyuan Wang:
Handwritten Digit Recognition with Kernel-Based LVQ Classifier in Input Space. ISNN (2) 2005: 203-208
Informal and Other Publications
- 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
- [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
- [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
- [i1]Feng Wang, Guoyizhe Wei, Qiao Liu, Jinxiang Ou, Xian Wei, Hairong Lv:
Boost Neural Networks by Checkpoints. CoRR abs/2110.00959 (2021)
Coauthor Index
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