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Ding Liu
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2020 – today
- 2024
- [j77]Dmitry A. Zaitsev, Tatiana R. Shmeleva, Zeyu Zhou, Ding Liu:
Verification of cryptocurrency consensus protocols: reenterable colored Petri net model design. Int. J. Parallel Emergent Distributed Syst. 39(1): 32-50 (2024) - [j76]Yu-Yu Liu, Lingxia Mu, Peng-Ju Zhang, Ding Liu:
Research on Classification Algorithm of Silicon Single-Crystal Growth Temperature Gradient Trend Based on Multi-Level Feature Fusion. Sensors 24(4): 1254 (2024) - [j75]Wei Yuan, Han Liu, Lili Liang, Wenqing Wang, Ding Liu:
Image restoration via joint low-rank and external nonlocal self-similarity prior. Signal Process. 215: 109284 (2024) - [j74]Runyuan Guo, Han Liu, Ding Liu:
When Deep Learning-Based Soft Sensors Encounter Reliability Challenges: A Practical Knowledge-Guided Adversarial Attack and Its Defense. IEEE Trans. Ind. Informatics 20(2): 2702-2714 (2024) - 2023
- [j73]Shuyan Shi, Ding Liu, Zhiran Huo:
Simulation of thermoelastic coupling in silicon single crystal growth based on alternate two-stage physics-informed neural network. Eng. Appl. Artif. Intell. 123(Part C): 106468 (2023) - [j72]Yiqun Mei, Yuchen Fan, Yulun Zhang, Jiahui Yu, Yuqian Zhou, Ding Liu, Yun Fu, Thomas S. Huang, Humphrey Shi:
Pyramid Attention Network for Image Restoration. Int. J. Comput. Vis. 131(12): 3207-3225 (2023) - [j71]Lu Kang, Ding Liu, Yali Wu, Guozheng Ping:
An Improved DE Algorithm for Solving Multi-Furnace Optimal Scheduling of Single Crystal Silicon Production. Int. J. Pattern Recognit. Artif. Intell. 37(2): 2359001:1-2359001:29 (2023) - [j70]Duqiao Zhao, Ding Liu, Xudong Cao:
Distributed Optimization Framework for Mobile Data Collection With Energy Harvesting in Duty-Cycle WSNs. IEEE Internet Things J. 10(7): 6456-6473 (2023) - [j69]Jun-Chao Ren, Ding Liu, Yin Wan:
Adaptive iterative extended state observer-based data-driven iterative learning model predictive control for semiconductor silicon single crystal batch process. J. Frankl. Inst. 360(4): 3119-3136 (2023) - [j68]Yunpeng He, Chuanzhi Zang, Peng Zeng, Qingwei Dong, Ding Liu, Yuqi Liu:
Convolutional Shrinkage Neural Networks Based Model-Agnostic Meta-Learning for Few-Shot Learning. Neural Process. Lett. 55(1): 505-518 (2023) - [j67]Ding Liu, Peng Zeng, Shijie Cui, Chunhe Song:
Deep Reinforcement Learning for Charging Scheduling of Electric Vehicles Considering Distribution Network Voltage Stability. Sensors 23(3): 1618 (2023) - [j66]Yin Wan, Ding Liu, Jun-Chao Ren, Shi-Hai Wu:
Study on the Hierarchical Predictive Control of Semiconductor Silicon Single Crystal Quality Based on the Soft Sensor Model. Sensors 23(5): 2830 (2023) - [j65]Lei Jiang, Rui Xue, Ding Liu:
Node-Loss Detection Methods for CZ Silicon Single Crystal Based on Multimodal Data Fusion. Sensors 23(13): 5855 (2023) - [j64]Wei Yuan, Han Liu, Lili Liang, Guo Xie, Youmin Zhang, Ding Liu:
Rank minimization via adaptive hybrid norm for image restoration. Signal Process. 206: 108926 (2023) - [j63]Duqiao Zhao, Ding Liu, Linxiong Liu:
Distributed and Privacy Preserving MPC With Global Constraints Over Time-Varying Communication. IEEE Trans. Control. Netw. Syst. 10(2): 586-598 (2023) - [j62]Runyuan Guo, Han Liu, Guo Xie, Youmin Zhang, Ding Liu:
A Self-Interpretable Soft Sensor Based on Deep Learning and Multiple Attention Mechanism: From Data Selection to Sensor Modeling. IEEE Trans. Ind. Informatics 19(5): 6859-6871 (2023) - [c95]Lanqing Guo, Siyu Huang, Ding Liu, Hao Cheng, Bihan Wen:
ShadowFormer: Global Context Helps Shadow Removal. AAAI 2023: 710-718 - [c94]Yuhao Huang, Hang Dong, Jinshan Pan, Chao Zhu, Boyang Liang, Yu Guo, Ding Liu, Lean Fu, Fei Wang:
Boosting Video Super Resolution with Patch-Based Temporal Redundancy Optimization. ICANN (7) 2023: 362-375 - [c93]Zheng Chen, Yulun Zhang, Ding Liu, Bin Xia, Jinjin Gu, Linghe Kong, Xin Yuan:
Hierarchical Integration Diffusion Model for Realistic Image Deblurring. NeurIPS 2023 - [i42]Lanqing Guo, Siyu Huang, Ding Liu, Hao Cheng, Bihan Wen:
ShadowFormer: Global Context Helps Image Shadow Removal. CoRR abs/2302.01650 (2023) - [i41]Zheng Chen, Yulun Zhang, Ding Liu, Bin Xia, Jinjin Gu, Linghe Kong, Xin Yuan:
Hierarchical Integration Diffusion Model for Realistic Image Deblurring. CoRR abs/2305.12966 (2023) - [i40]Zhe Wang, ZhiJie He, Ding Liu:
Graph Analysis Using a GPU-based Parallel Algorithm: Quantum Clustering. CoRR abs/2305.14641 (2023) - 2022
- [j61]Jing Zhang, Ding Liu, Qin-Wei Tang:
The CNN Deep Learning-Based Melting Process Prediction of Czochralski Monocrystalline Silicon. IEEE Access 10: 41972-41978 (2022) - [j60]Shanshan Yang, Ding Liu:
Automatic annotation method of VR speech corpus based on artificial intelligence. Int. J. Speech Technol. 25(2): 399-407 (2022) - [j59]Bing Chen, Ding Liu, Ting Zhang:
A Blockchain-Based Security Model for IoT Systems. J. Inf. Knowl. Manag. 21(2): 2250004:1-2250004:18 (2022) - [j58]Bing Chen, Ding Liu:
Remote Fault Diagnosis Method of Wind Power Generation Equipment Based on Internet of Things. J. Inf. Process. Syst. 18(6): 822-829 (2022) - [j57]Yongkui Liu, He Xu, Ding Liu, Lihui Wang:
A digital twin-based sim-to-real transfer for deep reinforcement learning-enabled industrial robot grasping. Robotics Comput. Integr. Manuf. 78: 102365 (2022) - [j56]Wenbo Wang, Muhammad Yousaf, Ding Liu, Ayesha Sohail:
A Comparative Study of the Genetic Deep Learning Image Segmentation Algorithms. Symmetry 14(10): 1977 (2022) - [c92]Fangyuan Kong, Mingxi Li, Songwei Liu, Ding Liu, Jingwen He, Yang Bai, Fangmin Chen, Lean Fu:
Residual Local Feature Network for Efficient Super-Resolution. CVPR Workshops 2022: 765-775 - [c91]Zongcai Du, Ding Liu, Jie Liu, Jie Tang, Gangshan Wu, Lean Fu:
Fast and Memory-Efficient Network Towards Efficient Image Super-Resolution. CVPR Workshops 2022: 852-861 - [c90]Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoglu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gao, Dengwen Zhou, Qian Ning, Jingzhu Tang, Han Huang, Yufei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang:
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. CVPR Workshops 2022: 1061-1101 - [c89]Ren Yang, Radu Timofte, Xin Li, Qi Zhang, Lin Zhang, Fanglong Liu, Dongliang He, Fu Li, He Zheng, Weihang Yuan, Pavel Ostyakov, Dmitry Vyal, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Lei Li, Jingzhu Tang, Ming Chen, Shijie Zhao, Yu Zhu, Xiaoran Qin, Chenghua Li, Cong Leng, Jian Cheng, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Bingchen Li, Xin Li, Mingxi Li, Ding Liu, Wenbin Zou, Peijie Dong, Tian Ye, Yunchen Zhang, Ming Tan, Xin Niu, Mustafa Ayazoglu, Marcos V. Conde, Ui-Jin Choi, Zhuang Jia, Tianyu Xu, Yijian Zhang, Mao Ye, Dengyan Luo, Xiaofeng Pan, Liuhan Peng:
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results. ECCV Workshops (3) 2022: 174-202 - [c88]Yingzhu Han, Chuyi Dai, Ding Liu:
Detection of Face Mask Wearing for COVID-19 Protection based on Transfer Learning and Classic CNN Model. ICNSC 2022: 1-7 - [c87]Zhidong Zhang, Xiubin Zhu, Ding Liu:
Model of Gradient Boosting Random Forest Prediction. ICNSC 2022: 1-6 - [c86]Jinyu Zhou, Chuitian Rong, Ding Liu, Zhengyi Chai:
Distributed Exact Structural Clustering on Large Graph. ICPADS 2022: 778-785 - [c85]Wei Xiong, Ding Liu, Xiaohui Shen, Chen Fang, Jiebo Luo:
Unsupervised Low-light Image Enhancement with Decoupled Networks. ICPR 2022: 457-463 - [c84]Xiaotong Luo, Mingliang Dai, Yulun Zhang, Yuan Xie, Ding Liu, Yanyun Qu, Yun Fu, Junping Zhang:
Adjustable Memory-efficient Image Super-resolution via Individual Kernel Sparsity. ACM Multimedia 2022: 2173-2181 - [c83]Xiaoyu Xiang, Ding Liu, Xiao Yang, Yiheng Zhu, Xiaohui Shen, Jan P. Allebach:
Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesis. WACV 2022: 944-954 - [i39]Zongcai Du, Ding Liu, Jie Liu, Jie Tang, Gangshan Wu, Lean Fu:
Fast and Memory-Efficient Network Towards Efficient Image Super-Resolution. CoRR abs/2204.08397 (2022) - [i38]Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, et al.:
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. CoRR abs/2205.05675 (2022) - [i37]Fangyuan Kong, Mingxi Li, Songwei Liu, Ding Liu, Jingwen He, Yang Bai, Fangmin Chen, Lean Fu:
Residual Local Feature Network for Efficient Super-Resolution. CoRR abs/2205.07514 (2022) - [i36]Yiming Cui, Linjie Yang, Ding Liu:
Dynamic Proposals for Efficient Object Detection. CoRR abs/2207.05252 (2022) - [i35]Yuhao Huang, Hang Dong, Jinshan Pan, Chao Zhu, Yu Guo, Ding Liu, Lean Fu, Fei Wang:
Boosting Video Super Resolution with Patch-Based Temporal Redundancy Optimization. CoRR abs/2207.08674 (2022) - [i34]Ren Yang, Radu Timofte, Xin Li, Qi Zhang, Lin Zhang, Fanglong Liu, Dongliang He, Fu Li, He Zheng, Weihang Yuan, Pavel Ostyakov, Dmitry Vyal, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Lei Li, Jingzhu Tang, Ming Chen, Shijie Zhao, Yu Zhu, Xiaoran Qin, Chenghua Li, Cong Leng, Jian Cheng, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Bingchen Li, Xin Li, Mingxi Li, Ding Liu, Wenbin Zou, Peijie Dong, Tian Ye, Yunchen Zhang, Ming Tan, Xin Niu, Mustafa Ayazoglu, Marcos V. Conde, Ui-Jin Choi, Zhuang Jia, Tianyu Xu, Yijian Zhang, Mao Ye, Dengyan Luo, Xiaofeng Pan, Liuhan Peng:
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results. CoRR abs/2208.11184 (2022) - 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) - [c82]Yang Fu, Linjie Yang, Ding Liu, Thomas S. Huang, Humphrey Shi:
CompFeat: Comprehensive Feature Aggregation for Video Instance Segmentation. AAAI 2021: 1361-1369 - [c81]Xueyan Zou, Linjie Yang, Ding Liu, Yong Jae Lee:
Progressive Temporal Feature Alignment Network for Video Inpainting. CVPR 2021: 16448-16457 - [c80]Giovanni Bonetta, Rossella Cancelliere, Ding Liu, Paul Vozila:
Retrieval-Augmented Transformer-XL for Close-Domain Dialog Generation. FLAIRS 2021 - [c79]Yujun Cai, Yiwei Wang, Yiheng Zhu, Tat-Jen Cham, Jianfei Cai, Junsong Yuan, Jun Liu, Chuanxia Zheng, Sijie Yan, Henghui Ding, Xiaohui Shen, Ding Liu, Nadia Magnenat-Thalmann:
A Unified 3D Human Motion Synthesis Model via Conditional Variational Auto-Encoder∗. ICCV 2021: 11625-11635 - [c78]Jian Zhou, Ding Liu:
A Redundancy Based Unsupervised Feature Selection Method for High-Dimensional Data. ICMLC 2021: 285-289 - [c77]Chuyi Dai, Ding Liu, Weihao Hu:
Real Object Registration Algorithm Based on SURF and RANSAC. ICNSC 2021: 1-6 - [c76]Tianqi Huang, He Xu, Ding Liu:
ROS Based Obstacle Avoidance Motion Planning of UR5 Manipulator. ICNSC 2021: 1-6 - [c75]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) - [c74]Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang:
Scale-Wise Convolution for Image Restoration. AAAI 2020: 10770-10777 - [c73]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 - [c72]Yuchen Fan, Jiahui Yu, Yiqun Mei, Yulun Zhang, Yun Fu, Ding Liu, Thomas S. Huang:
Neural Sparse Representation for Image Restoration. NeurIPS 2020 - [c71]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) - [c70]Jing Zhang, YaNi Pan, Ding Liu:
Numerical Simulation of Thermal Field in Czochralski Monocrystalline Silicon Shoulder. ASCC 2019: 838-843 - [c69]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 - [c68]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 - [c67]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, Ahmet Murat Tekalp, Mustafa 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 - [c66]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 - [c65]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 - [c64]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
- [b2]Ding Liu:
Deep learning for image restoration and enhancement. University of Illinois Urbana-Champaign, USA, 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) - [c63]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 - [c62]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 - [c61]Yuqian Zhou, Ding Liu, Thomas S. Huang:
Survey of Face Detection on Low-Quality Images. FG 2018: 769-773 - [c60]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 - [c59]Ding Liu:
Connecting Low-Level Image Processing and High-Level Vision via Deep Learning. IJCAI 2018: 5775-5776 - [c58]Ding Liu, Bihan Wen, Yuchen Fan, Chen Change Loy, Thomas S. Huang:
Non-Local Recurrent Network for Image Restoration. NeurIPS 2018: 1680-1689 - [c57]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 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) - [c56]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 - [c55]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 - [c54]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 - [c53]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 - [c52]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 - [c51]Zhangyang Wang, Ding Liu, Shiyu Chang, Florin Dolcos, Diane M. 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) - [c50]Yingzhen Yang, Zhangyang Wang, Zhaowen Wang, Shiyu Chang, Ding Liu, Honghui Shi, Thomas S. Huang:
Epitomic Image Super-Resolution. AAAI 2016: 4278-4279 - [c49]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 - [c48]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 - [c47]Zhangyang Wang, Shiyu Chang, Yingzhen Yang, Ding Liu, Thomas S. Huang:
Studying Very Low Resolution Recognition Using Deep Networks. CVPR 2016: 4792-4800 - [c46]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) - [c45]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 - [c44]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) - [c43]Ding Liu, Minghu Jiang, Xiaofang Yang:
Quantum clustering - A novel method for text analysis. CIDM 2014: 17-23 - [c42]Ding Liu, Xida Chen, Yee-Hong Yang:
Frequency-Based 3D Reconstruction of Transparent and Specular Objects. CVPR 2014: 660-667 - [c41]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 - [c40]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) - [c39]Ding Liu, Xiaofang Yang, Minghu Jiang:
A Novel Classifier Based on Quantum Computation. ACL (2) 2013: 484-488 - [c38]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 - [c37]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 - [c36]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) - [c35]Yifan Hou, Ding Liu, MengChu Zhou:
On iterative liveness-enforcement for a class of generalized Petri nets. CASE 2012: 188-193 - [c34]Junli Liang, Ding Liu, Yue Zhao, Nianlong Song:
Multi-line Fitting Using Two-Stage Iterative Adaptive Approach. ICIRA (1) 2012: 144-153 - [c33]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 - [c32]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 - [c31]Jing Xin, Xiaomin Ma, Yi Deng, Ding Liu, Han Liu:
A New Method of Stereo Localization Using Dual-PTZ-Cameras. ICIRA (3) 2012: 460-472 - [c30]Ding Liu, Xiaoming Wang, Junling Lu:
Cmpr: Cost-Aware multipath Routing Algorithm for Mobile Wireless Sensor Networks. QLSC 2012 - [c29]Ding Liu, Kamel Barkaoui, MengChu Zhou:
On intrinsically live structure of a class of generalized Petri nets modeling FMS. WODES 2012: 187-192 - [p1]Ding Liu, Minghu Jiang:
Text Clustering on Oral Conversation Corpus. Modern Advances in Intelligent Systems and Tools 2012: 167-172 - 2011
- [j19]Ding Liu, Junli Liang:
Two-Dimensional Frequencies Estimation Using Two-Stage Separated Virtual Steering Vector-Based Algorithm. EURASIP J. Adv. Signal Process. 2011 (2011) - [j18]Fucai Qian, Guo Xie, Ding Liu, Wenfang Xie:
Optimal control of LQG problem with an explicit trade-off between mean and variance. Int. J. Syst. Sci. 42(12): 1957-1964 (2011) - [j17]Nir Ailon, Bernard Chazelle, Kenneth L. Clarkson, Ding Liu, Wolfgang Mulzer, C. Seshadhri:
Self-Improving Algorithms. SIAM J. Comput. 40(2): 350-375 (2011) - [j16]Ding Liu, Junli Liang:
A Bayesian Approach to Diameter Estimation in the Diameter Control System of Silicon Single Crystal Growth. IEEE Trans. Instrum. Meas. 60(4): 1307-1315 (2011) - [c28]Ding Liu, Ruixuan Li, Xiwu Gu, Kunmei Wen, Heng He, Guoqiang Gao:
Fast Snippet Generation Based on CPU-GPU Hybrid System. ICPADS 2011: 252-259 - 2010
- [j15]Ding Liu, ZhiWu Li, MengChu Zhou:
Liveness of an extended S3PR. Autom. 46(6): 1008-1018 (2010) - [j14]Junli Liang, Ding Liu:
Joint estimation of source number and DOA using simulated annealing algorithm. Digit. Signal Process. 20(3): 887-899 (2010) - [j13]Mi Zhao, Yifan Hou, Ding Liu:
Liveness-enforcing supervisors synthesis for a class of generalised Petri nets based on two-stage deadlock control and mathematical programming. Int. J. Control 83(10): 2053-2066 (2010) - [j12]Junli Liang, Ding Liu:
Passive localization of mixed near-field and far-field sources using two-stage MUSIC algorithm. IEEE Trans. Signal Process. 58(1): 108-120 (2010) - [c27]Fucai Qian, Guo Xie, Ding Liu, Wenfang Xie:
Nonlinear optimal trade-off control for LQG problem. ACC 2010: 1931-1936 - [c26]Ding Liu, Daniel Gildea:
Semantic Role Features for Machine Translation. COLING 2010: 716-724 - [c25]Fuguang Ma, Yong Gao, Menglong Yan, Fuchun Xu, Ding Liu:
The fine-grained security access control of spatial data. Geoinformatics 2010: 1-4 - [c24]Liangying Wei, Huiping Xu, Ding Liu:
Real-time visualization of the East China Sea based on priceton ocean model and volume rendering. Geoinformatics 2010: 1-4 - [c23]Shangbin Jiao, Ding Liu:
Assessment of surface contamination condition of insulator based on attribute reduction algorithm of rough sets and least squares support vector machine. ICNC 2010: 858-863 - [c22]Xiaoping Xu, Fucai Qian, Ding Liu, Feng Wang:
Identification of a nonlinear block-oriented model. ICNC 2010: 4052-4056
2000 – 2009
- 2009
- [j11]Junli Liang, Ding Liu, Junying Zhang:
Joint frequency, 2-D DOA, and polarization estimation using parallel factor analysis. Sci. China Ser. F Inf. Sci. 52(10): 1891-1904 (2009) - [c21]Han Liu, Ding Liu:
A neural network approach for least squares support vector machines learning. CDC 2009: 7297-7302 - [c20]Ding Liu, Daniel Gildea:
Bayesian Learning of Phrasal Tree-to-String Templates. EMNLP 2009: 1308-1317 - [i2]Nir Ailon, Bernard Chazelle, Kenneth L. Clarkson, Ding Liu, Wolfgang Mulzer, C. Seshadhri:
Self-Improving Algorithms. CoRR abs/0907.0884 (2009) - 2008
- [j10]Nir Ailon, Bernard Chazelle, Seshadhri Comandur, Ding Liu:
Property-Preserving Data Reconstruction. Algorithmica 51(2): 160-182 (2008) - [j9]Bernard Chazelle, Ding Liu, Avner Magen:
Approximate range searching in higher dimension. Comput. Geom. 39(1): 24-29 (2008) - [c19]Dou Zhao, Ding Liu, Yanxi Yang:
A New Stereo Matching Method Based on Sub-pixel Corner Detection. CSSE (2) 2008: 899-902 - [c18]Dou Zhao, Ding Liu, Yanxi Yang:
An Improved PIC Algorithm of Background Reconstruction for Detecting Moving Object. FSKD (4) 2008: 24-28 - [c17]Ding Liu, Daniel Gildea:
Improved Tree-to-String Transducer for Machine Translation. WMT@ACL 2008: 62-69 - 2007
- [j8]Nir Ailon, Bernard Chazelle, Seshadhri Comandur, Ding Liu:
Estimating the distance to a monotone function. Random Struct. Algorithms 31(3): 371-383 (2007) - [c16]Ding Liu, Daniel Gildea:
Source-Language Features and Maximum Correlation Training for Machine Translation Evaluation. HLT-NAACL 2007: 41-48 - 2006
- [j7]Jun Liu, Ding Liu, Hua-Yu Bai, Pu Wu, Xia Han:
A new strategy for optimizing the parameters updating algorithm of fuzzy neural controller. Soft Comput. 10(1): 61-67 (2006) - [j6]Haipeng Ren, Ding Liu:
Nonlinear feedback control of chaos in permanent magnet synchronous motor. IEEE Trans. Circuits Syst. II Express Briefs 53-II(1): 45-50 (2006) - [c15]Ding Liu, Daniel Gildea:
Stochastic Iterative Alignment for Machine Translation Evaluation. ACL 2006 - [c14]Nir Ailon, Bernard Chazelle, Seshadhri Comandur, Ding Liu:
Self-improving algorithms. SODA 2006: 261-270 - 2005
- [j5]Bernard Chazelle, Ding Liu, Avner Magen:
Sublinear Geometric Algorithms. SIAM J. Comput. 35(3): 627-646 (2005) - [j4]Moses Charikar, Eric Lehman, Ding Liu, Rina Panigrahy, Manoj Prabhakaran, Amit Sahai, Abhi Shelat:
The smallest grammar problem. IEEE Trans. Inf. Theory 51(7): 2554-2576 (2005) - [c13]Ding Liu, Daniel Gildea:
Syntactic Features for Evaluation of Machine Translation. IEEvaluation@ACL 2005: 25-32 - [c12]Xiaobin Li, Ding Liu:
Modeling and Optimal for Vacuum Annealing Furnace Based on Wavelet Neural Networks with Adaptive Immune Genetic Algorithm. ICNC (2) 2005: 922-930 - [i1]Bernard Chazelle, Ding Liu, Avner Magen:
Sublinear Geometric Algorithms. Sublinear Algorithms 2005 - 2004
- [j3]Ding Liu:
A note on point location in arrangements of hyperplanes. Inf. Process. Lett. 90(2): 93-95 (2004) - [j2]Ding Liu:
A strong lower bound for approximate nearest neighbor searching. Inf. Process. Lett. 92(1): 23-29 (2004) - [j1]Bernard Chazelle, Ding Liu:
Lower bounds for intersection searching and fractional cascading in higher dimension. J. Comput. Syst. Sci. 68(2): 269-284 (2004) - [c11]Nir Ailon, Bernard Chazelle, Seshadhri Comandur, Ding Liu:
Estimating the Distance to a Monotone Function. APPROX-RANDOM 2004: 229-236 - [c10]Ding Liu, Bernard Chazelle, Avner Magen:
Approximate range searching in higher dimension. CCCG 2004: 154-157 - [c9]Nir Ailon, Bernard Chazelle, Seshadhri Comandur, Ding Liu:
Property-Preserving Data Reconstruction. ISAAC 2004: 16-27 - [c8]Ding Liu, Haipeng Ren, Xiaoyan Liu:
Chaos control in permanent magnet synchronous motor. ISCAS (4) 2004: 732-735 - [c7]Han Liu, Ding Liu, Jin Yu, Qi Li, Yanming Liang:
Power Plant Boiler Air Preheater Hot Spots Detection System Based on Least Square Support Vector Machines. ISNN (1) 2004: 598-604 - 2003
- [c6]Ding Liu, Chengqing Zong:
Utterance Segmentation Using Combined Approach Based on Bi-directional N-gram and Maximum Entropy. SIGHAN 2003: 16-23 - [c5]Ding Liu, Yu Zhou, Chengqing Zong, Fuji Ren:
Automatic evaluation of sentence fluency. SMC 2003: 1687-1692 - [c4]Bernard Chazelle, Ding Liu, Avner Magen:
Sublinear geometric algorithms. STOC 2003: 531-540 - 2002
- [c3]Ding Liu, Manoj Prabhakaran:
On Randomized Broadcasting and Gossiping in Radio Networks. COCOON 2002: 340-349 - [c2]Moses Charikar, Eric Lehman, Ding Liu, Rina Panigrahy, Manoj Prabhakaran, April Rasala, Amit Sahai, Abhi Shelat:
Approximating the smallest grammar: Kolmogorov complexity in natural models. STOC 2002: 792-801 - 2001
- [c1]Bernard Chazelle, Ding Liu:
Lower bounds for intersection searching and fractional cascading in higher dimension. STOC 2001: 322-329
Coauthor Index
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