Google
Google Scholar
Semantic Scholar
IA Scholar
CiteSeerX
ORCIDDing Liu
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2021
[j55]Xiangcheng Zhan, Ding Liu, Guangchun Wang, Haimin Zhang, Aimaitiaji Kadier
, Xudong Yao, Yunfei Xu:
The Innovative Use of Ureter Catheter in the Surgery of Obstructive Uropathy. Comput. Math. Methods Medicine 2021: 6668415:1-6668415:7 (2021)- [j54]Xinyu Zhang, Ding Liu, Biyu Lei, Junli Liang, Ruirui Ji:
An intelligent particle filter with resampling of multi-population cooperation. Digit. Signal Process. 115: 103084 (2021) - [j53]Zixing Zhang, Ding Liu, Jing Han, Kun Qian, Björn W. Schuller:
Learning audio sequence representations for acoustic event classification. Expert Syst. Appl. 178: 115007 (2021) - [j52]Junjie Li, Ding Liu:
Information Bottleneck Theory on Convolutional Neural Networks. Neural Process. Lett. 53(2): 1385-1400 (2021) - [j51]Xia Zhang, Ding Liu, Xue Wang, Xinyu Zhang:
Advanced Ellipse Fitting Algorithm Based on ADMM and Hybrid BFGS Method. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [j50]Xinyu Zhang, Ding Liu, Yuan Yang, Junli Liang:
An Intelligent Particle Filter With Adaptive M-H Resampling for Liquid-Level Estimation During Silicon Crystal Growth. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - [j49]Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang:
EnlightenGAN: Deep Light Enhancement Without Paired Supervision. IEEE Trans. Image Process. 30: 2340-2349 (2021) - [c77]Yang Fu, Linjie Yang, Ding Liu, Thomas S. Huang, Humphrey Shi:
CompFeat: Comprehensive Feature Aggregation for Video Instance Segmentation. AAAI 2021: 1361-1369 - [c76]Xueyan Zou, Linjie Yang, Ding Liu, Yong Jae Lee:
Progressive Temporal Feature Alignment Network for Video Inpainting. CVPR 2021: 16448-16457 - [c75]Giovanni Bonetta, Rossella Cancelliere, Ding Liu, Paul Vozila:
Retrieval-Augmented Transformer-XL for Close-Domain Dialog Generation. FLAIRS Conference 2021 - [c74]Jian Zhou, Ding Liu:
A Redundancy Based Unsupervised Feature Selection Method for High-Dimensional Data. ICMLC 2021: 285-289 - [c73]Xiaotong Luo, Qiuyuan Liang, Ding Liu, Yanyun Qu:
Boosting Lightweight Single Image Super-resolution via Joint-distillation. ACM Multimedia 2021: 1535-1543 - [i33]Xueyan Zou, Linjie Yang, Ding Liu, Yong Jae Lee:
Progressive Temporal Feature Alignment Network for Video Inpainting. CoRR abs/2104.03507 (2021) - [i32]Xiaoyu Xiang, Ding Liu, Xiao Yang, Yiheng Zhu, Xiaohui Shen, Jan P. Allebach:
Adversarial Open Domain Adaption for Sketch-to-Photo Synthesis. CoRR abs/2104.05703 (2021) - [i31]Zhanghao Zhouyin, Ding Liu:
Understanding Neural Networks with Logarithm Determinant Entropy Estimator. CoRR abs/2105.03705 (2021) - [i30]Giovanni Bonetta, Rossella Cancelliere, Ding Liu, Paul Vozila:
Retrieval-Augmented Transformer-XL for Close-Domain Dialog Generation. CoRR abs/2105.09235 (2021) - 2020
- [j48]Pengliang Li, Ding Liu:
Elliptic Arc Fitting for the Shape Control System of Silicon Single Crystal Growth. IEEE Access 8: 28979-28987 (2020) - [j47]Lei Jiang, Enliang Liu, Ding Liu:
A Mode Selected Mixed Logic Dynamic Model and Model Predictive Control of Buck Converter. Complex. 2020: 5415636:1-5415636:11 (2020) - [j46]Ding Liu, Ni Zhang, Lei Jiang, Xiao-Guo Zhao, Wei-Feng Duan:
Nonlinear Generalized Predictive Control of the Crystal Diameter in CZ-Si Crystal Growth Process Based on Stacked Sparse Autoencoder. IEEE Trans. Control. Syst. Technol. 28(3): 1132-1139 (2020) - [j45]Hongyu Xu, Zhangyang Wang, Haichuan Yang, Ding Liu, Ji Liu:
Learning Simple Thresholded Features With Sparse Support Recovery. IEEE Trans. Circuits Syst. Video Technol. 30(4): 983-997 (2020) - [j44]Xinyu Zhang, Ding Liu, Hanya Jiang, Junli Liang:
Particle Filter With Unknown Statistics to Estimate Liquid Level in the Silicon Single-Crystal Growth. IEEE Trans. Instrum. Meas. 69(6): 2759-2770 (2020) - [j43]Ding Liu, Bihan Wen, Jianbo Jiao, Xianming Liu, Zhangyang Wang, Thomas S. Huang:
Connecting Image Denoising and High-Level Vision Tasks via Deep Learning. IEEE Trans. Image Process. 29: 3695-3706 (2020) - [j42]Jianbo Jiao, Wei-Chih Tu, Ding Liu, Shengfeng He, Rynson W. H. Lau, Thomas S. Huang:
FormNet: Formatted Learning for Image Restoration. IEEE Trans. Image Process. 29: 6302-6314 (2020) - [c72]Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang:
Scale-Wise Convolution for Image Restoration. AAAI 2020: 10770-10777 - [c71]Yujun Cai, Lin Huang, Yiwei Wang, Tat-Jen Cham, Jianfei Cai, Junsong Yuan, Jun Liu, Xu Yang, Yiheng Zhu, Xiaohui Shen, Ding Liu, Jing Liu, Nadia Magnenat-Thalmann:
Learning Progressive Joint Propagation for Human Motion Prediction. ECCV (7) 2020: 226-242 - [c70]Yuchen Fan, Jiahui Yu, Yiqun Mei, Yulun Zhang, Yun Fu, Ding Liu, Thomas S. Huang:
Neural Sparse Representation for Image Restoration. NeurIPS 2020 - [c69]Junru Wu, Xiang Yu, Ding Liu, Manmohan Chandraker, Zhangyang Wang:
DAVID: Dual-Attentional Video Deblurring. WACV 2020: 2365-2374 - [i29]Yiqun Mei, Yuchen Fan, Yulun Zhang, Jiahui Yu, Yuqian Zhou, Ding Liu, Yun Fu, Thomas S. Huang, Humphrey Shi:
Pyramid Attention Networks for Image Restoration. CoRR abs/2004.13824 (2020) - [i28]Wei Xiong, Ding Liu, Xiaohui Shen, Chen Fang, Jiebo Luo:
Unsupervised Real-world Low-light Image Enhancement with Decoupled Networks. CoRR abs/2005.02818 (2020) - [i27]Ding Liu, Zekun Yao, Quan Zhang:
Quantum-Classical Machine learning by Hybrid Tensor Networks. CoRR abs/2005.09428 (2020) - [i26]Yuchen Fan, Jiahui Yu, Yiqun Mei, Yulun Zhang, Yun Fu, Ding Liu, Thomas S. Huang:
Neural Sparse Representation for Image Restoration. CoRR abs/2006.04357 (2020) - [i25]Ding Liu, Hui Li:
Outlier Detection Using a Novel method: Quantum Clustering. CoRR abs/2006.04760 (2020) - [i24]Yang Fu, Linjie Yang, Ding Liu, Thomas S. Huang, Humphrey Shi:
CompFeat: Comprehensive Feature Aggregation for Video Instance Segmentation. CoRR abs/2012.03400 (2020)
2010 – 2019
- 2019
- [j41]Jing Xin, Rong Yu, Ding Liu, Youmin Zhang:
Thermal stress deformation prediction for rotary air-preheater rotor using deep learning approach. Int. J. Model. Identif. Control. 31(4): 293-302 (2019) - [j40]Jing Xin, Kaiyuan Gao, Mao Shan, Bo Yan, Ding Liu:
A Bayesian Filtering Approach for Error Mitigation in Ultra-Wideband Ranging. Sensors 19(3): 440 (2019) - [j39]Junli Liang, Pengliang Li, Deyun Zhou, Hing-Cheung So, Ding Liu, Chi-Sing Leung, Liansheng Sui:
Robust ellipse fitting via alternating direction method of multipliers. Signal Process. 164: 30-40 (2019) - [j38]Ding Liu, Bowen Cheng, Zhangyang Wang, Haichao Zhang, Thomas S. Huang:
Enhance Visual Recognition Under Adverse Conditions via Deep Networks. IEEE Trans. Image Process. 28(9): 4401-4412 (2019) - [c68]Jing Zhang, YaNi Pan, Ding Liu:
Numerical Simulation of Thermal Field in Czochralski Monocrystalline Silicon Shoulder. ASCC 2019: 838-843 - [c67]Zhiqiang Shen, Honghui Shi, Jiahui Yu, Hai Phan, Rogério Feris, Liangliang Cao, Ding Liu, Xinchao Wang, Thomas S. Huang, Marios Savvides:
Improving Object Detection from Scratch via Gated Feature Reuse. BMVC 2019: 247 - [c66]Seungjun Nah, Radu Timofte, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Kyoung Mu Lee, Xintao Wang, Kelvin C. K. Chan, Ke Yu, Chao Dong, Chen Change Loy, Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang, Hyeonjun Sim, Munchurl Kim, Dongwon Park, Jisoo Kim, Se Young Chun, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Rahul Kumar Gupta, Vishal M. Chudasama, Heena Patel, Kishor P. Upla, Hongfei Fan, Guo Li, Yumei Zhang, Xiang Li, Wenjie Zhang, Qingwen He, Kuldeep Purohit, A. N. Rajagopalan, Jeonghun Kim, Mohammad Tofighi, Tiantong Guo, Vishal Monga:
NTIRE 2019 Challenge on Video Deblurring: Methods and Results. CVPR Workshops 2019: 1974-1984 - [c65]Seungjun Nah, Radu Timofte, Shuhang Gu, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Kyoung Mu Lee, Xintao Wang, Kelvin C. K. Chan, Ke Yu, Chao Dong, Chen Change Loy, Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang, Xiao Liu, Chao Li, Dongliang He, Yukang Ding, Shilei Wen, Fatih Porikli, Ratheesh Kalarot, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Jiayi Ma, Hang Dong, Xinyi Zhang, Zhe Hu, Kwan-Young Kim, Dong Un Kang, Se Young Chun, Kuldeep Purohit, A. N. Rajagopalan, Yapeng Tian, Yulun Zhang, Yun Fu, Chenliang Xu, A. Murat Tekalp, M. Akin Yilmaz, Cansu Korkmaz, Manoj Sharma, Megh Makwana, Anuj Badhwar, Ajay Pratap Singh, Avinash Upadhyay, Rudrabha Mukhopadhyay, Ankit Shukla, Dheeraj Khanna, A. S. Mandal, Santanu Chaudhury, Si Miao, Yongxin Zhu, Xiao Huo:
NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results. CVPR Workshops 2019: 1985-1995 - [c64]Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang:
An Empirical Investigation of Efficient Spatio-Temporal Modeling in Video Restoration. CVPR Workshops 2019: 2159-2168 - [c63]Abdelrahman Abdelhamed, Radu Timofte, Michael S. Brown, Songhyun Yu, Bumjun Park, Jechang Jeong, Seung-Won Jung, Dong-Wook Kim, Jae Ryun Chung, Jiaming Liu, Yuzhi Wang, Chi-Hao Wu, Qin Xu, Chuan Wang, Shaofan Cai, Yifan Ding, Haoqiang Fan, Jue Wang, Kai Zhang, Wangmeng Zuo, Magauiya Zhussip, Dongwon Park, Shakarim Soltanayev, Se Young Chun, Zhiwei Xiong, Chang Chen, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Sung-Jea Ko, Dong-Pan Lim, Seung-Wook Kim, Seo-Won Ji, Sang-Won Lee, Wenyi Tang, Yuchen Fan, Yuqian Zhou, Ding Liu, Thomas S. Huang, Deyu Meng, Lei Zhang, Hongwei Yong, Yiyun Zhao, Pengliang Tang, Yue Lu, Raimondo Schettini, Simone Bianco, Simone Zini, Chi Li, Yang Wang, Zhiguo Cao:
NTIRE 2019 Challenge on Real Image Denoising: Methods and Results. CVPR Workshops 2019: 2197-2210 - [c62]Ding Liu, Zixu Zhao, Xinchao Wang, Yuxiao Hu, Lei Zhang, Thomas S. Huang:
Improving 3D Human Pose Estimation Via 3D Part Affinity Fields. WACV 2019: 1004-1013 - [i23]Zheng-Zhi Sun, Cheng Peng, Ding Liu, Shi-Ju Ran, Gang Su:
Generative Tensor Network Classification Model for Supervised Machine Learning. CoRR abs/1903.10742 (2019) - [i22]Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang:
EnlightenGAN: Deep Light Enhancement without Paired Supervision. CoRR abs/1906.06972 (2019) - [i21]Junjie Li, Ding Liu:
Information Bottleneck Methods on Convolutional Neural Networks. CoRR abs/1911.03722 (2019) - [i20]Junru Wu, Xiang Yu, Ding Liu, Manmohan Chandraker, Zhangyang Wang:
DAVID: Dual-Attentional Video Deblurring. CoRR abs/1912.03445 (2019) - [i19]Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang:
Scale-wise Convolution for Image Restoration. CoRR abs/1912.09028 (2019) - 2018
- [j37]Junli Liang, Guoyang Yu, Pengliang Li, Liansheng Sui, Yuntao Wu, Weiren Kong, Ding Liu, Hing Cheung So:
Ellipse fitting via low-rank generalized multidimensional scaling matrix recovery. Multidimens. Syst. Signal Process. 29(1): 49-75 (2018) - [j36]Ding Liu, Zhaowen Wang, Yuchen Fan, Xianming Liu, Zhangyang Wang, Shiyu Chang, Xinchao Wang, Thomas S. Huang:
Learning Temporal Dynamics for Video Super-Resolution: A Deep Learning Approach. IEEE Trans. Image Process. 27(7): 3432-3445 (2018) - [c61]Bowen Cheng, Ding Liu, Zhangyang Wang, Haichao Zhang, Thomas S. Huang:
Visual Recognition in Very Low-Quality Settings: Delving Into the Power of Pre-Training. AAAI 2018: 8065-8066 - [c60]Wei Han, Shiyu Chang, Ding Liu, Mo Yu, Michael Witbrock, Thomas S. Huang:
Image Super-Resolution via Dual-State Recurrent Networks. CVPR 2018: 1654-1663 - [c59]Yuqian Zhou, Ding Liu, Thomas S. Huang:
Survey of Face Detection on Low-Quality Images. FG 2018: 769-773 - [c58]Ding Liu, Bihan Wen, Xianming Liu, Zhangyang Wang, Thomas S. Huang:
When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach. IJCAI 2018: 842-848 - [c57]Ding Liu:
Connecting Low-Level Image Processing and High-Level Vision via Deep Learning. IJCAI 2018: 5775-5776 - [c56]Ding Liu, Bihan Wen, Yuchen Fan, Chen Change Loy, Thomas S. Huang:
Non-Local Recurrent Network for Image Restoration. NeurIPS 2018: 1680-1689 - [c55]Panqu Wang, Pengfei Chen, Ye Yuan, Ding Liu, Zehua Huang, Xiaodi Hou, Garrison W. Cottrell:
Understanding Convolution for Semantic Segmentation. WACV 2018: 1451-1460 - [i18]Zhangyang Wang, Hongyu Xu, Haichuan Yang, Ding Liu, Ji Liu:
Learning Simple Thresholded Features with Sparse Support Recovery. CoRR abs/1804.05515 (2018) - [i17]Yuqian Zhou, Ding Liu, Thomas S. Huang:
Survey of Face Detection on Low-quality Images. CoRR abs/1804.07362 (2018) - [i16]Wei Han, Shiyu Chang, Ding Liu, Mo Yu, Michael J. Witbrock, Thomas S. Huang:
Image Super-Resolution via Dual-State Recurrent Networks. CoRR abs/1805.02704 (2018) - [i15]Ding Liu, Bihan Wen, Yuchen Fan, Chen Change Loy, Thomas S. Huang:
Non-Local Recurrent Network for Image Restoration. CoRR abs/1806.02919 (2018) - [i14]Ramakrishna Prabhu, Xiaojing Yu, Zhangyang Wang, Ding Liu, Anxiao Jiang:
U-Finger: Multi-Scale Dilated Convolutional Network for Fingerprint Image Denoising and Inpainting. CoRR abs/1807.10993 (2018) - [i13]Ding Liu, Bihan Wen, Jianbo Jiao, Xianming Liu, Zhangyang Wang, Thomas S. Huang:
Connecting Image Denoising and High-Level Vision Tasks via Deep Learning. CoRR abs/1809.01826 (2018) - 2017
- [j35]Muhammad Bashir, Zhiwu Li, Murat Uzam, Abdulrahman Al-Ahmari, Naiqi Wu, Ding Liu, Ting Qu:
A Minimal Supervisory Structure to Optimally Enforce Liveness on Petri Net Models for Flexible Manufacturing Systems. IEEE Access 5: 15731-15749 (2017) - [j34]Miao Liu, ShouGuang Wang, MengChu Zhou, Ding Liu, Abdulrahman Al-Ahmari, Ting Qu, Naiqi Wu, ZhiWu Li:
Deadlock and liveness characterization for a class of generalized Petri nets. Inf. Sci. 420: 403-416 (2017) - [j33]Cun-Bin Li, Jiahang Yuan, Ding Liu, Wenle Li, Shuaishuai Lin:
Risk group assessment based on the demands of important consumers with standby electric source. J. Intell. Fuzzy Syst. 33(4): 2177-2188 (2017) - [c54]Bowen Cheng, Zhangyang Wang, Zhaobin Zhang, Zhu Li, Ding Liu, Jianchao Yang, Shuai Huang, Thomas S. Huang:
Robust emotion recognition from low quality and low bit rate video: A deep learning approach. ACII 2017: 65-70 - [c53]Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae, Jae Jun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristóvão Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo:
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. CVPR Workshops 2017: 1110-1121 - [c52]Yuchen Fan, Honghui Shi, Jiahui Yu, Ding Liu, Wei Han, Haichao Yu, Zhangyang Wang, Xinchao Wang, Thomas S. Huang:
Balanced Two-Stage Residual Networks for Image Super-Resolution. CVPR Workshops 2017: 1157-1164 - [c51]Ding Liu, Zhaowen Wang, Yuchen Fan, Xianming Liu, Zhangyang Wang, Shiyu Chang, Thomas S. Huang:
Robust Video Super-Resolution with Learned Temporal Dynamics. ICCV 2017: 2526-2534 - [c50]Haichao Yu, Ding Liu, Honghui Shi, Hanchao Yu, Zhangyang Wang, Xinchao Wang, Brent Cross, Matthew Bramler, Thomas S. Huang:
Computed tomography super-resolution using convolutional neural networks. ICIP 2017: 3944-3948 - [c49]Zhangyang Wang, Ding Liu, Shiyu Chang, Florin Dolcos, Diane Beck, Thomas S. Huang:
Image aesthetics assessment using Deep Chatterjee's machine. IJCNN 2017: 941-948 - [i12]Ding Liu, Zhaowen Wang, Nasser M. Nasrabadi, Thomas S. Huang:
Learning a Mixture of Deep Networks for Single Image Super-Resolution. CoRR abs/1701.00823 (2017) - [i11]Panqu Wang, Pengfei Chen, Ye Yuan, Ding Liu, Zehua Huang, Xiaodi Hou, Garrison W. Cottrell:
Understanding Convolution for Semantic Segmentation. CoRR abs/1702.08502 (2017) - [i10]Ding Liu, Bihan Wen, Xianming Liu, Thomas S. Huang:
When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach. CoRR abs/1706.04284 (2017) - [i9]Zixing Zhang, Ding Liu, Jing Han, Björn W. Schuller:
Learning Audio Sequence Representations for Acoustic Event Classification. CoRR abs/1707.08729 (2017) - [i8]Bowen Cheng, Zhangyang Wang, Zhaobin Zhang, Zhu Li, Ding Liu, Jianchao Yang, Shuai Huang, Thomas S. Huang:
Robust Emotion Recognition from Low Quality and Low Bit Rate Video: A Deep Learning Approach. CoRR abs/1709.03126 (2017) - [i7]Zhiqiang Shen, Honghui Shi, Rogério Schmidt Feris, Liangliang Cao, Shuicheng Yan, Ding Liu, Xinchao Wang, Xiangyang Xue, Thomas S. Huang:
Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids. CoRR abs/1712.00886 (2017) - [i6]Ding Liu, Bowen Cheng, Zhangyang Wang, Haichao Zhang, Thomas S. Huang:
Enhance Visual Recognition under Adverse Conditions via Deep Networks. CoRR abs/1712.07732 (2017) - 2016
- [j32]Ding Liu, Minghu Jiang, Xiaofang Yang, Hui Li:
Analyzing documents with Quantum Clustering: A novel pattern recognition algorithm based on quantum mechanics. Pattern Recognit. Lett. 77: 8-13 (2016) - [j31]Ding Liu, Zhaowen Wang, Bihan Wen, Jianchao Yang, Wei Han, Thomas S. Huang:
Robust Single Image Super-Resolution via Deep Networks With Sparse Prior. IEEE Trans. Image Process. 25(7): 3194-3207 (2016) - [c48]Yingzhen Yang, Zhangyang Wang, Zhaowen Wang, Shiyu Chang, Ding Liu, Honghui Shi, Thomas S. Huang:
Epitomic Image Super-Resolution. AAAI 2016: 4278-4279 - [c47]Ding Liu, Zhaowen Wang, Nasser M. Nasrabadi, Thomas S. Huang:
Learning a Mixture of Deep Networks for Single Image Super-Resolution. ACCV (3) 2016: 145-156 - [c46]Zhangyang Wang, Ding Liu, Shiyu Chang, Qing Ling, Yingzhen Yang, Thomas S. Huang:
D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images. CVPR 2016: 2764-2772 - [c45]Zhangyang Wang, Shiyu Chang, Yingzhen Yang, Ding Liu, Thomas S. Huang:
Studying Very Low Resolution Recognition Using Deep Networks. CVPR 2016: 4792-4800 - [c44]Kamel Barkaoui, Awatef Hicheur, Ahmed Kheldoun, Ding Liu:
Modelling and analyzing home care plans using high-level Petri nets. WODES 2016: 284-290 - [i5]Zhangyang Wang, Ding Liu, Shiyu Chang, Qing Ling, Thomas S. Huang:
$\mathbf{D^3}$: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images. CoRR abs/1601.04149 (2016) - [i4]Zhangyang Wang, Shiyu Chang, Yingzhen Yang, Ding Liu, Thomas S. Huang:
Studying Very Low Resolution Recognition Using Deep Networks. CoRR abs/1601.04153 (2016) - 2015
- [b1]Ding Liu:
On Intrinsically Live Structure and Deadlock Control of Generalized Petri Nets Modeling Flexible Manufacturing Systems. (Sur le contrôle de blocage dans les systèmes flexibles de production à base de réseaux de Petri généralisés). Conservatoire national des arts et métiers, Paris, France, 2015 - [j30]Xiaomin Ma, Ding Liu, Jian Zhang, Jing Xin:
A fast affine-invariant features for image stitching under large viewpoint changes. Neurocomputing 151: 1430-1438 (2015) - [j29]Junli Liang, Miaohua Zhang, Ding Liu, Wenyi Wang:
Shape Fitting for the Shape Control System of Silicon Single Crystal Growth. IEEE Trans. Ind. Informatics 11(2): 363-374 (2015) - [c43]Nan Lu, Chengqi Cheng, Qi Zhu, Ding Liu, Yi Yang:
Unified management and application method of environmental information based on GeoSOT subdivision grid model. Geoinformatics 2015: 1-4 - [c42]Zhaowen Wang, Ding Liu, Jianchao Yang, Wei Han, Thomas S. Huang:
Deep Networks for Image Super-Resolution with Sparse Prior. ICCV 2015: 370-378 - [i3]Zhaowen Wang, Ding Liu, Jianchao Yang, Wei Han, Thomas S. Huang:
Deeply Improved Sparse Coding for Image Super-Resolution. CoRR abs/1507.08905 (2015) - 2014
- [j28]Ding Liu, ZhiWu Li, MengChu Zhou:
Authors' Reply to 'Comments on "Liveness of an extended S3PR " [Automatica 46(6) (2010) 1008-1018]'. Autom. 50(8): 2201 (2014) - [j27]Yifan Hou, ZhiWu Li, Mi Zhao, Ding Liu:
Extended elementary siphon-based deadlock prevention policy for a class of generalised Petri nets. Int. J. Comput. Integr. Manuf. 27(1): 85-102 (2014) - [j26]Guo Xie, Ding Liu, Xinhong Hei, Tianhua Xu:
Theory and methodology of object-oriented formal modelling. Int. J. Sens. Networks 16(4): 252-260 (2014) - [j25]Ding Liu, William H. K. Lam:
Modeling the Effects of Population Density on Prospect Theory-Based Travel Mode-Choice Equilibrium. J. Intell. Transp. Syst. 18(4): 379-392 (2014) - [c41]Ding Liu, Minghu Jiang, Xiaofang Yang:
Quantum clustering - A novel method for text analysis. CIDM 2014: 17-23 - [c40]Ding Liu, Xida Chen, Yee-Hong Yang:
Frequency-Based 3D Reconstruction of Transparent and Specular Objects. CVPR 2014: 660-667 - [c39]Ding Liu, Yifan Hou, Kamel Barkaoui, MengChu Zhou:
Intrinsically live structures in process and resource-oriented Petri nets modeling automated manufacturing systems. ICNSC 2014: 578-583 - [c38]Ding Liu, Paris Smaragdis, Minje Kim:
Experiments on deep learning for speech denoising. INTERSPEECH 2014: 2685-2689 - 2013
- [j24]Ding Liu, ZhiWu Li, MengChu Zhou:
A parameterized liveness and ratio-enforcing supervisor for a class of generalized Petri nets. Autom. 49(11): 3167-3179 (2013) - [j23]Junli Liang, Miaohua Zhang, Ding Liu, Xianju Zeng, Ode Ojowu, Kexin Zhao, Zhan Li, Han Liu:
Robust Ellipse Fitting Based on Sparse Combination of Data Points. IEEE Trans. Image Process. 22(6): 2207-2218 (2013) - [j22]Ding Liu, Zhiwu Li, Mengchu Zhou:
Hybrid Liveness-Enforcing Policy for Generalized Petri Net Models of Flexible Manufacturing Systems. IEEE Trans. Syst. Man Cybern. Syst. 43(1): 85-97 (2013) - [c37]Ding Liu, Xiaofang Yang, Minghu Jiang:
A Novel Classifier Based on Quantum Computation. ACL (2) 2013: 484-488 - [c36]Ding Liu, Ruixuan Li, David J. Lilja, Weijun Xiao:
A divide-and-conquer approach for solving singular value decomposition on a heterogeneous system. Conf. Computing Frontiers 2013: 36:1-36:10 - [c35]Ding Liu, Yifan Hou, Hesuan Hu, Kamel Barkaoui, MengChu Zhou:
Liveness and resource usage ratio-enforcing supervisor for a class of generalized Petri nets. ICCA 2013: 1278-1283 - [c34]Ding Liu, Anthea Cheung, Anna Margolis, Patrick Redmond, Jun-won Suh, Chao Wang:
Data driven methods for utterance semantic tagging. INTERSPEECH 2013: 2068-2070 - 2012
- [j21]Ding Liu, Zhiwu Li, Mengchu Zhou:
Erratum to "Liveness of an extended S3PR " [Automatica 46 (2010) 1008-1018]. Autom. 48(5): 1003-1004 (2012) - [j20]Junli Liang, Yang He, Ding Liu, Xianju Zeng:
Image Fusion Using Higher Order Singular Value Decomposition. IEEE Trans. Image Process. 21(5): 2898-2909 (2012) - [c33]Yifan Hou, Ding Liu, MengChu Zhou:
On iterative liveness-enforcement for a class of generalized Petri nets. CASE 2012: 188-193 - [c32]Junli Liang, Ding Liu, Yue Zhao, Nianlong Song:
Multi-line Fitting Using Two-Stage Iterative Adaptive Approach. ICIRA (1) 2012: 144-153 - [c31]Yingmin Yi, Ding Liu, Jing Xin, Yanxi Yang:
Simultaneous Localization and Map Building for Wheeled Robot with Colored Measurement Noise. ICIRA (3) 2012: 311-320 - [c30]Jie Zhang, Ding Liu, Yanxi Yang, Gang Zheng:
Improved Method of Robot Trajectory in IBVS Based on an Efficient Second-Order Minimization Technique. ICIRA (3) 2012: 395-405 - [c29]