Ding Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
65
Venues
30
Active years
2001–2025
Best venue rank
A*
Where they publish
- A*CVPR14 papers
- A*AAAI6 papers
- A*ICCV4 papers
- AWACV4 papers
- A*ACL3 papers
- NationalICNC3 papers
- A*STOC3 papers
- BSMC2 papers
- A*ECCV2 papers
- BICPADS2 papers
- A*IJCAI2 papers
- AInterspeech2 papers
- NationalHCI1 paper
- CICANN1 paper
- BICPR1 paper
- NationalFlAIRS1 paper
- ABMVC1 paper
- BACII1 paper
- BICIP1 paper
- BIJCNN1 paper
- BACCV1 paper
- CCIDM1 paper
- BCOLING1 paper
- A*EMNLP1 paper
- ANAACL1 paper
- A*SODA1 paper
- BISAAC1 paper
- CISCAS1 paper
- CISNN1 paper
- NationalCOCOON1 paper
Papers
65 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | HCI | A Study on the Design of a Digital Museum Using Interactive Forms to Popularise Changzhou Comb Grate. | Ding Liu |
| 2025 | ICCV | Adaptive Caching for Faster Video Generation With Diffusion Transformers. | Kumara Kahatapitiya, Haozhe Liu, Sen He, Ding Liu, Menglin Jia, Chenyang Zhang, Michael S. Ryoo, Tian Xie |
| 2024 | AAAI | AdaFormer: Efficient Transformer with Adaptive Token Sparsification for Image Super-resolution. | Xiaotong Luo, Zekun Ai, Qiuyuan Liang, Ding Liu, Yuan Xie, Yanyun Qu, Yun Fu |
| 2024 | SMC | Analysis of Bitcoin Fork by Colored Petri Nets. | Zeyu Zhou, Ding Liu, Tatiana R. Shmeleva, Dmitry A. Zaitsev |
| 2023 | AAAI | ShadowFormer: Global Context Helps Shadow Removal. | Lanqing Guo, Siyu Huang, Ding Liu, Hao Cheng, Bihan Wen |
| 2023 | ICANN | Boosting Video Super Resolution with Patch-Based Temporal Redundancy Optimization. | Yuhao Huang, Hang Dong, Jinshan Pan, Chao Zhu, Boyang Liang, Yu Guo, Ding Liu, Lean Fu, Fei Wang |
| 2022 | CVPR | Fast and Memory-Efficient Network Towards Efficient Image Super-Resolution. | Zongcai Du, Ding Liu, Jie Liu, Jie Tang, Gangshan Wu, Lean Fu |
| 2022 | CVPR | Residual Local Feature Network for Efficient Super-Resolution. | Fangyuan Kong, Mingxi Li, Songwei Liu, Ding Liu, Jingwen He, Yang Bai, Fangmin Chen, Lean Fu |
| 2022 | CVPR | NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. | 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 |
| 2022 | ECCV | AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results. | 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 |
| 2022 | ICPADS | Distributed Exact Structural Clustering on Large Graph. | Jinyu Zhou, Chuitian Rong, Ding Liu, Zhengyi Chai |
| 2022 | ICPR | Unsupervised Low-light Image Enhancement with Decoupled Networks. | Wei Xiong, Ding Liu, Xiaohui Shen, Chen Fang, Jiebo Luo |
| 2022 | WACV | Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesis. | Xiaoyu Xiang, Ding Liu, Xiao Yang, Yiheng Zhu, Xiaohui Shen, Jan P. Allebach |
| 2021 | AAAI | CompFeat: Comprehensive Feature Aggregation for Video Instance Segmentation. | Yang Fu, Linjie Yang, Ding Liu, Thomas S. Huang, Humphrey Shi |
| 2021 | CVPR | Progressive Temporal Feature Alignment Network for Video Inpainting. | Xueyan Zou, Linjie Yang, Ding Liu, Yong Jae Lee |
| 2021 | FlAIRS | Retrieval-Augmented Transformer-XL for Close-Domain Dialog Generation. | Giovanni Bonetta, Rossella Cancelliere, Ding Liu, Paul Vozila |
| 2021 | ICCV | A Unified 3D Human Motion Synthesis Model via Conditional Variational Auto-Encoder | 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 |
| 2020 | AAAI | Scale-Wise Convolution for Image Restoration. | Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang |
| 2020 | ECCV | Learning Progressive Joint Propagation for Human Motion Prediction. | 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 |
| 2020 | WACV | DAVID: Dual-Attentional Video Deblurring. | Junru Wu, Xiang Yu, Ding Liu, Manmohan Chandraker, Zhangyang Wang |
| 2019 | BMVC | Improving Object Detection from Scratch via Gated Feature Reuse. | Zhiqiang Shen, Honghui Shi, Jiahui Yu, Hai Phan, Rogrio Feris, Liangliang Cao, Ding Liu, Xinchao Wang, Thomas S. Huang, Marios Savvides |
| 2019 | CVPR | NTIRE 2019 Challenge on Real Image Denoising: Methods and Results. | 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 |
| 2019 | CVPR | An Empirical Investigation of Efficient Spatio-Temporal Modeling in Video Restoration. | Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang |
| 2019 | CVPR | NTIRE 2019 Challenge on Video Deblurring: Methods and Results. | 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 |
| 2019 | CVPR | NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results. | 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 |
| 2019 | WACV | Improving 3D Human Pose Estimation Via 3D Part Affinity Fields. | Ding Liu, Zixu Zhao, Xinchao Wang, Yuxiao Hu, Lei Zhang, Thomas S. Huang |
| 2018 | AAAI | Visual Recognition in Very Low-Quality Settings: Delving Into the Power of Pre-Training. | Bowen Cheng, Ding Liu, Zhangyang Wang, Haichao Zhang, Thomas S. Huang |
| 2018 | CVPR | Image Super-Resolution via Dual-State Recurrent Networks. | Wei Han, Shiyu Chang, Ding Liu, Mo Yu, Michael Witbrock, Thomas S. Huang |
| 2018 | IJCAI | Connecting Low-Level Image Processing and High-Level Vision via Deep Learning. | Ding Liu |
| 2018 | IJCAI | When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach. | Ding Liu, Bihan Wen, Xianming Liu, Zhangyang Wang, Thomas S. Huang |
| 2018 | WACV | Understanding Convolution for Semantic Segmentation. | Panqu Wang, Pengfei Chen, Ye Yuan, Ding Liu, Zehua Huang, Xiaodi Hou, Garrison W. Cottrell |
| 2017 | ACII | Robust emotion recognition from low quality and low bit rate video: A deep learning approach. | Bowen Cheng, Zhangyang Wang, Zhaobin Zhang, Zhu Li, Ding Liu, Jianchao Yang, Shuai Huang, Thomas S. Huang |
| 2017 | CVPR | Balanced Two-Stage Residual Networks for Image Super-Resolution. | Yuchen Fan, Honghui Shi, Jiahui Yu, Ding Liu, Wei Han, Haichao Yu, Zhangyang Wang, Xinchao Wang, Thomas S. Huang |
| 2017 | CVPR | NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. | 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, Jaejun 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, Cristvo 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 |
| 2017 | ICCV | Robust Video Super-Resolution with Learned Temporal Dynamics. | Ding Liu, Zhaowen Wang, Yuchen Fan, Xianming Liu, Zhangyang Wang, Shiyu Chang, Thomas S. Huang |
| 2017 | ICIP | Computed tomography super-resolution using convolutional neural networks. | Haichao Yu, Ding Liu, Honghui Shi, Hanchao Yu, Zhangyang Wang, Xinchao Wang, Brent Cross, Matthew Bramler, Thomas S. Huang |
| 2017 | IJCNN | Image aesthetics assessment using Deep Chatterjee's machine. | Zhangyang Wang, Ding Liu, Shiyu Chang, Florin Dolcos, Diane M. Beck, Thomas S. Huang |
| 2016 | AAAI | Epitomic Image Super-Resolution. | Yingzhen Yang, Zhangyang Wang, Zhaowen Wang, Shiyu Chang, Ding Liu, Honghui Shi, Thomas S. Huang |
| 2016 | ACCV | Learning a Mixture of Deep Networks for Single Image Super-Resolution. | Ding Liu, Zhaowen Wang, Nasser M. Nasrabadi, Thomas S. Huang |
| 2016 | CVPR | Studying Very Low Resolution Recognition Using Deep Networks. | Zhangyang Wang, Shiyu Chang, Yingzhen Yang, Ding Liu, Thomas S. Huang |
| 2016 | CVPR | D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images. | Zhangyang Wang, Ding Liu, Shiyu Chang, Qing Ling, Yingzhen Yang, Thomas S. Huang |
| 2015 | ICCV | Deep Networks for Image Super-Resolution with Sparse Prior. | Zhaowen Wang, Ding Liu, Jianchao Yang, Wei Han, Thomas S. Huang |
| 2014 | CIDM | Quantum clustering - A novel method for text analysis. | Ding Liu, Minghu Jiang, Xiaofang Yang |
| 2014 | CVPR | Frequency-Based 3D Reconstruction of Transparent and Specular Objects. | Ding Liu, Xida Chen, Yee-Hong Yang |
| 2014 | Interspeech | Experiments on deep learning for speech denoising. | Ding Liu, Paris Smaragdis, Minje Kim |
| 2013 | ACL | A Novel Classifier Based on Quantum Computation. | Ding Liu, Xiaofang Yang, Minghu Jiang |
| 2013 | Interspeech | Data driven methods for utterance semantic tagging. | Ding Liu, Anthea Cheung, Anna Margolis, Patrick Redmond, Jun-Won Suh, Chao Wang |
| 2011 | ICPADS | Fast Snippet Generation Based on CPU-GPU Hybrid System. | Ding Liu, Ruixuan Li, Xiwu Gu, Kunmei Wen, Heng He, Guoqiang Gao |
| 2010 | COLING | Semantic Role Features for Machine Translation. | Ding Liu, Daniel Gildea |
| 2010 | ICNC | Assessment of surface contamination condition of insulator based on attribute reduction algorithm of rough sets and least squares support vector machine. | Shangbin Jiao, Ding Liu |
| 2010 | ICNC | Identification of a nonlinear block-oriented model. | Xiaoping Xu, Fucai Qian, Ding Liu, Feng Wang |
| 2009 | EMNLP | Bayesian Learning of Phrasal Tree-to-String Templates. | Ding Liu, Daniel Gildea |
| 2007 | NAACL | Source-Language Features and Maximum Correlation Training for Machine Translation Evaluation. | Ding Liu, Daniel Gildea |
| 2006 | ACL | Stochastic Iterative Alignment for Machine Translation Evaluation. | Ding Liu, Daniel Gildea |
| 2006 | SODA | Self-improving algorithms. | Nir Ailon, Bernard Chazelle, Seshadhri Comandur, Ding Liu |
| 2005 | ACL | Syntactic Features for Evaluation of Machine Translation. | Ding Liu, Daniel Gildea |
| 2005 | ICNC | Modeling and Optimal for Vacuum Annealing Furnace Based on Wavelet Neural Networks with Adaptive Immune Genetic Algorithm. | Xiaobin Li, Ding Liu |
| 2004 | ISAAC | Property-Preserving Data Reconstruction. | Nir Ailon, Bernard Chazelle, Seshadhri Comandur, Ding Liu |
| 2004 | ISCAS | Chaos control in permanent magnet synchronous motor. | Ding Liu, Haipeng Ren, Xiaoyan Liu |
| 2004 | ISNN | Power Plant Boiler Air Preheater Hot Spots Detection System Based on Least Square Support Vector Machines. | Han Liu, Ding Liu, Jin Yu, Qi Li, Yanming Liang |
| 2003 | SMC | Automatic evaluation of sentence fluency. | Ding Liu, Yu Zhou, Chengqing Zong, Fuji Ren |
| 2003 | STOC | Sublinear geometric algorithms. | Bernard Chazelle, Ding Liu, Avner Magen |
| 2002 | COCOON | On Randomized Broadcasting and Gossiping in Radio Networks. | Ding Liu, Manoj Prabhakaran |
| 2002 | STOC | Approximating the smallest grammar: Kolmogorov complexity in natural models. | Moses Charikar, Eric P. Lehman, Ding Liu, Rina Panigrahy, Manoj Prabhakaran, April Rasala, Amit Sahai, Abhi Shelat |
| 2001 | STOC | Lower bounds for intersection searching and fractional cascading in higher dimension. | Bernard Chazelle, Ding Liu |