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Journal Articles
- 2025
[j12]Zilu Guo, Jun Du, Sabato Marco Siniscalchi, Jia Pan, Qingfeng Liu:
Controllable Conformer for Speech Enhancement and Recognition. IEEE Signal Process. Lett. 32: 156-160 (2025)- 2022
- [j11]Behnam Gholami
, Qingfeng Liu, Mostafa El-Khamy, Jungwon Lee:
Multiexpert Adversarial Regularization for Robust and Data-Efficient Deep Supervised Learning. IEEE Access 10: 85080-85094 (2022) - 2021
- [j10]Hao Ren, Aslan B. Wong, Wanmin Lian, Weibin Cheng, Ying Zhang, Jianwei He, Qingfeng Liu, Jiasheng Yang, Chen Jason Zhang, Kaishun Wu, Haodi Zhang:
Interpretable Pneumonia Detection by Combining Deep Learning and Explainable Models With Multisource Data. IEEE Access 9: 95872-95883 (2021) - 2018
- [j9]Qingfeng Liu, Zhe Liu, Yuqing Song, Yan Zhu:
基于约束随机游走的肿瘤图像分割方法 (Tumor Image Segmentation Method Based on Random Walk with Constraint). 计算机科学 45(7): 243-247 (2018) - 2017
- [j8]Ajit Puthenputhussery, Qingfeng Liu, Chengjun Liu:
A Sparse Representation Model Using the Complete Marginal Fisher Analysis Framework and Its Applications to Visual Recognition. IEEE Trans. Multim. 19(8): 1757-1770 (2017) - [j7]Qingfeng Liu, Chengjun Liu:
A Novel Locally Linear KNN Method With Applications to Visual Recognition. IEEE Trans. Neural Networks Learn. Syst. 28(9): 2010-2021 (2017) - 2016
- [j6]Shaofei Xue, Hui Jiang, Li-Rong Dai, Qingfeng Liu:
Speaker Adaptation of Hybrid NN/HMM Model for Speech Recognition Based on Singular Value Decomposition. J. Signal Process. Syst. 82(2): 175-185 (2016) - 2015
- [j5]Pan Zhou, Hui Jiang, Li-Rong Dai, Yu Hu, Qingfeng Liu:
State-Clustering Based Multiple Deep Neural Networks Modeling Approach for Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 23(4): 631-642 (2015) - 2014
- [j4]Shaofei Xue, Ossama Abdel-Hamid, Hui Jiang, Li-Rong Dai, Qingfeng Liu:
Fast adaptation of deep neural network based on discriminant codes for speech recognition. IEEE ACM Trans. Audio Speech Lang. Process. 22(12): 1713-1725 (2014) - 2012
- [j3]Xuesong Wang, Lijing Li, Yuhu Cheng, Qingfeng Liu:
Construction of gene regulatory networks with colored noise. Neural Comput. Appl. 21(8): 1883-1891 (2012) - 2011
- [j2]Chao-Lin Liu, Guantao Jin, Qingfeng Liu, Wei-Yun Chiu, Yih-Soong Yu:
Some Chances and Challenges in Applying Language Technologies to Historical Studies in Chinese. Int. J. Comput. Linguistics Chin. Lang. Process. 16(1-2) (2011) - 2008
- [j1]Qingfeng Liu, Yoshihiko Nishiyama:
Maximum empirical likelihood estimation of continuous-time models with conditional characteristic functions. Math. Comput. Simul. 78(2-3): 341-350 (2008)
Conference and Workshop Papers
- 2024
- [c39]Chenyu Liu, Jia Pan, Jinshui Hu, Baocai Yin, Bing Yin, Mingjun Chen, Cong Liu, Jun Du, Qingfeng Liu:
NAMER: Non-autoregressive Modeling for Handwritten Mathematical Expression Recognition. ECCV (57) 2024: 273-291 - 2023
- [c38]Qingfeng Liu, Zhaoxia Leng, Mengxi Zhou, Bo Zhong:
Parameters Design of Composite Resonant Circuit for Outputting Dual Frequency Signals with Different Frequency Ratios. ICIT 2023: 1-8 - 2022
- [c37]Qingfeng Liu, Hai Su, Mostafa El-Khamy, Kee-Bong Song:
DeepGBASS: Deep Guided Boundary-Aware Semantic Segmentation. ICASSP 2022: 2644-2648 - [c36]Qingfeng Liu, Hai Su, Mostafa El-Khamy:
Deep Guidance Decoder with Semantic Boundary Learning for Boundary-Aware Semantic Segmentation. ICCE 2022: 1-2 - [c35]Qingfeng Liu, Mostafa El-Khamy:
Panoptic-Deeplab-DVA: Improving Panoptic Deeplab with Dual Value Attention and Instance Boundary Aware Regression. ICIP 2022: 3888-3892 - 2021
- [c34]Weihao Liu, Gaofeng Ren, Fucheng Wang, Qiguang Duan, Qingfeng Liu, Zhongchun Hu:
Safety Monitoring and Stability of Building Foundation Pit Based on Fiber Bragg Grating Sensor. AIAM (ACM) 2021: 1529-1537 - 2020
- [c33]Qingfeng Liu, Mostafa El-Khamy, Dongwoon Bai, Jungwon Lee:
GSANet: Semantic Segmentation With Global And Selective Attention. ICIP 2020: 1471-1475 - 2018
- [c32]Jia Pan, Diyuan Liu, Genshun Wan, Jun Du, Qingfeng Liu, Zhongfu Ye:
Online Speaker Adaptation for LVCSR Based on Attention Mechanism. APSIPA 2018: 183-186 - [c31]Zhe Liu, Yuqing Song, Charlie Maere, Qingfeng Liu, Yan Zhu, Hu Lu, Deqi Yuan:
A Method for PET-CT Lung Cancer Segmentation based on Improved Random Walk. ICPR 2018: 1187-1192 - [c30]Ajit Puthenputhussery, Qingfeng Liu, Chengjun Liu:
Multiple Anthropological Fisher Kernel Framework and Its Application to Kinship Verification. WACV 2018: 57-65 - [c29]Ajit Puthenputhussery, Qingfeng Liu, Hao Liu, Chengjun Liu:
Generative and Discriminative Sparse Coding for Image Classification Applications. WACV 2018: 1824-1832 - 2016
- [c28]Ajit Puthenputhussery, Qingfeng Liu, Chengjun Liu:
Sparse Representation Based Complete Kernel Marginal Fisher Analysis Framework for Computational Art Painting Categorization. ECCV (8) 2016: 612-627 - [c27]Rui Chang, Liehui Jiang, Qing Yin, Lu Ren, Qingfeng Liu:
An Effective Usage and Access Control Scheme for Preventing Permission Leak in a Trusted Execution Environment. ICCNS 2016: 6-10 - [c26]Ajit Puthenputhussery, Qingfeng Liu, Chengjun Liu:
SIFT flow based genetic fisher vector feature for kinship verification. ICIP 2016: 2921-2925 - [c25]Qingfeng Liu, Ajit Puthenputhussery, Chengjun Liu:
A novel inheritable color space with application to kinship verification. WACV 2016: 1-9 - [c24]Ajit Puthenputhussery, Qingfeng Liu, Chengjun Liu:
Color multi-fusion fisher vector feature for fine art painting categorization and influence analysis. WACV 2016: 1-9 - 2015
- [c23]Chao-Lin Liu, Guantao Jin, Hongsu Wang, Qingfeng Liu, Wen-Huei Cheng, Wei-Yun Chiu, Richard Tzong-Han Tsai, Yu-Chun Wang:
Textual Analysis for Studying Chinese Historical Documents and Literary Novels. ASE BD&SI 2015: 30:1-30:10 - [c22]Qingfeng Liu, Ajit Puthenputhussery, Chengjun Liu:
Inheritable Fisher vector feature for kinship verification. BTAS 2015: 1-6 - [c21]Qingfeng Liu, Chengjun Liu:
A novel locally linear KNN model for visual recognition. CVPR 2015: 1329-1337 - [c20]Shaofei Xue, Hui Jiang, Li-Rong Dai, Qingfeng Liu:
Unsupervised speaker adaptation of deep neural network based on the combination of speaker codes and singular value decomposition for speech recognition. ICASSP 2015: 4555-4559 - [c19]Qingfeng Liu, Ajit Puthenputhussery, Chengjun Liu:
Novel general KNN classifier and general nearest mean classifier for visual classification. ICIP 2015: 1810-1814 - [c18]Qingfeng Liu, Ajit Puthenputhussery, Chengjun Liu:
Learning the discriminative dictionary for sparse representation by a general fisher regularized model. ICIP 2015: 4347-4351 - 2014
- [c17]Wen-Huei Cheng, Jui-Sung Yang, Wei-Yun Chiu, Chao-Lin Liu, Guantao Jin, Qingfeng Liu:
Ideas, Events and Actions: The Digital Humanity Study of the Concept Formation in Modern China. DH 2014 - [c16]Qingfeng Liu, Chengjun Liu:
A new locally linear KNN method with an improved marginal Fisher analysis for image classification. IJCB 2014: 1-6 - [c15]Qingfeng Liu, Chengjun Liu:
A novel hierarchical interaction model and HITS map for action recognition in static images. SMC 2014: 210-215 - 2013
- [c14]Jiuyan Ye, Bin Chen, Qingfeng Liu, Yu Fang:
A precision agriculture management system based on Internet of Things and WebGIS. Geoinformatics 2013: 1-5 - [c13]Pan Zhou, Cong Liu, Qingfeng Liu, Li-Rong Dai, Hui Jiang:
A cluster-based multiple deep neural networks method for large vocabulary continuous speech recognition. ICASSP 2013: 6650-6654 - 2011
- [c12]Haixia Li, Youzeng Wang, Qingfeng Liu, Sun Chuanguang:
Batch scheduling jobs with learning effect to minimize the total weighted completion time. ICNC 2011: 1475-1479 - 2010
- [c11]Tian-Yi Zhao, Zhen-Hua Ling, Ming Lei, Li-Rong Dai, Qingfeng Liu:
Minimum generation error training for HMM-based prediction of articulatory movements. ISCSLP 2010: 99-102 - 2009
- [c10]Kaishan Song, Mingming Jia, Mohsin Hafeez, Zongming Wang, Dongmei Lu, Lihong Zeng, Dianwei Liu, Bai Zhang, Jia Du, Qingfeng Liu:
Land Use/Cover Characterization with MODIS Time Series Data with Hybrid Classification Mothed over Australia for 2001 and 2003. IGARSS (3) 2009: 306-309 - [c9]Kaishan Song, Zongming Wang, Qingfeng Liu, Dongmei Lu, Guang Yang, Lihong Zeng, Dianwei Liu, Bai Zhang, Jia Du:
Land Use/land Cover (LULC) Characterizaitoin with MODIS Time Series Data in the Amu River Basin. IGARSS (4) 2009: 310-313 - 2007
- [c8]Guoping Hu, Dan Liu, Qingfeng Liu, Ren-Hua Wang:
Supervised Learning Approach to Optimize Ranking Function for Chinese FAQ-Finder. PAKDD 2007: 531-538 - 2006
- [c7]Guoping Hu, Dan Liu, Qingfeng Liu, Ren-Hua Wang:
SpeechQoogle: An Open-Domain Question Answering System with Speech Interface. ISCSLP 2006 - 2004
- [c6]Guoping Hu, Qingfeng Liu, Yu Hu, Ren-Hua Wang:
Hearer model based stress prediction for Chinese TTS system. ISCSLP 2004: 161-164 - [c5]Gao Peng Chen, Gérard Bailly, Qingfeng Liu, Ren-Hua Wang:
A superposed prosodic model for Chinese text-to-speech synthesis. ISCSLP 2004: 177-180 - 2000
- [c4]Ren-Hua Wang, Qingfeng Liu, Yu Hu, Bo Yin, Xiaoru Wu:
KD2000 Chinese Text-To-Speech System. ICMI 2000: 300-307 - [c3]Yu Hu, Qingfeng Liu, Ren-Hua Wang:
Prosody generation in Chinese synthesis using the template of quantified prosodic unit and base intonation contour. INTERSPEECH 2000: 55-58 - 1998
- [c2]Ren-Hua Wang, Qingfeng Liu, Yongsheng Teng, Deyu Xia:
Towards a Chinese text-to-speech system with higher naturalness. ICSLP 1998 - 1996
- [c1]Ren-Hua Wang, Qingfeng Liu, Difei Tang:
A new Chinese text-to-speech system with high naturalness. ICSLP 1996: 1441-1444
Informal and Other Publications
- 2024
- [i9]Qingfeng Liu, Mostafa El-Khamy, Kee-Bong Song:
1st Place Winner of the 2024 Pixel-level Video Understanding in the Wild (CVPR'24 PVUW) Challenge in Video Panoptic Segmentation and Best Long Video Consistency of Video Semantic Segmentation. CoRR abs/2406.05352 (2024) - [i8]Chenyu Liu, Jia Pan, Jinshui Hu, Baocai Yin, Bing Yin, Mingjun Chen, Cong Liu, Jun Du, Qingfeng Liu:
NAMER: Non-Autoregressive Modeling for Handwritten Mathematical Expression Recognition. CoRR abs/2407.11380 (2024) - [i7]Haotian Wang, Yuzhe Weng, Yueyan Li, Zilu Guo, Jun Du, Shutong Niu, Jiefeng Ma, Shan He, Xiaoyan Wu, Qiming Hu, Bing Yin, Cong Liu, Qingfeng Liu:
EmotiveTalk: Expressive Talking Head Generation through Audio Information Decoupling and Emotional Video Diffusion. CoRR abs/2411.16726 (2024) - 2023
- [i6]Sara Babakniya, Ahmed Roushdy Elkordy, Yahya H. Ezzeldin, Qingfeng Liu, Kee-Bong Song, Mostafa El-Khamy, Salman Avestimehr:
SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models. CoRR abs/2308.06522 (2023) - 2021
- [i5]Qingfeng Liu, Yang Feng:
Machine Collaboration. CoRR abs/2105.02569 (2021) - 2020
- [i4]Qingfeng Liu, Mostafa El-Khamy, Dongwoon Bai, Jungwon Lee:
GSANet: Semantic Segmentation with Global and Selective Attention. CoRR abs/2003.00830 (2020) - [i3]Yang Feng, Qingfeng Liu:
Nested Model Averaging on Solution Path for High-dimensional Linear Regression. CoRR abs/2005.08057 (2020) - 2015
- [i2]Chao-Lin Liu, Guantao Jin, Hongsu Wang, Qingfeng Liu, Wen-Huei Cheng, Wei-Yun Chiu, Richard Tzong-Han Tsai, Yu-Chun Wang:
Textual Analysis for Studying Chinese Historical Documents and Literary Novels. CoRR abs/1510.03021 (2015) - 2012
- [i1]Chao-Lin Liu, Guantao Jin, Qingfeng Liu, Wei-Yun Chiu, Yih-Soong Yu:
Some Chances and Challenges in Applying Language Technologies to Historical Studies in Chinese. CoRR abs/1210.5898 (2012)
Coauthor Index
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last updated on 2025-01-09 12:53 CET by the dblp team
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