| Image Super-Resolution with Non-Local Sparse Attention | 2 | 0.36 | 2021 |
| Scale-Wise Convolution For Image Restoration | 1 | 0.35 | 2020 |
| Image Super-Resolution With Cross-Scale Non-Local Attention And Exhaustive Self-Exemplars Mining | 3 | 0.38 | 2020 |
| NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results | 2 | 0.36 | 2020 |
| SHIKEBLCU at SemEval-2020 Task 2 - An External Knowledge-enhanced Matrix for Multilingual and Cross-Lingual Lexical Entailment. | 0 | 0.34 | 2020 |
| NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results | 1 | 0.36 | 2020 |
| Neural Sparse Representation for Image Restoration | 0 | 0.34 | 2020 |
| An Empirical Investigation of Efficient Spatio-Temporal Modeling in Video Restoration | 0 | 0.34 | 2019 |
| Model Aggregation Method For Data Parallelism In Distributed Real-Time Machine Learning Of Smart Sensing Equipment | 0 | 0.34 | 2019 |
| Wide Activation for Efficient Image and Video Super-Resolution. | 1 | 0.35 | 2019 |
| NTIRE 2019 Challenge on Video Deblurring: Methods and Results | 2 | 0.37 | 2019 |
| NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results | 1 | 0.36 | 2019 |
| NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. | 77 | 1.71 | 2018 |
| Wide-activated Deep Residual Networks based Restoration for BPG-compressed Images. | 1 | 0.35 | 2018 |
| YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark. | 8 | 0.52 | 2018 |
| Non-Local Recurrent Network for Image Restoration. | 25 | 0.68 | 2018 |
| Learning Temporal Dynamics for Video Super-Resolution: A Deep Learning Approach. | 5 | 0.41 | 2018 |
| Wide Activation for Efficient and Accurate Image Super-Resolution. | 1 | 0.35 | 2018 |
| Balanced Two-Stage Residual Networks for Image Super-Resolution. | 10 | 0.50 | 2017 |
| Effective Object Detection From Traffic Camera Videos | 0 | 0.34 | 2017 |
| Multi-Speaker Modeling And Speaker Adaptation For Dnn-Based Tts Synthesis | 9 | 0.51 | 2015 |
| Sequence Generation Error (Sge) Minimization Based Deep Neural Networks Training For Text-To-Speech Synthesis | 3 | 0.38 | 2015 |
| Reshaping deep neural network for fast decoding by node-pruning | 30 | 1.21 | 2014 |
| Speaker Verification With Deep Features | 5 | 0.44 | 2014 |
| Stochastic data sweeping for fast DNN training | 3 | 0.41 | 2014 |
| Sequence error (SE) minimization training of neural network for voice conversion. | 13 | 0.54 | 2014 |
| TTS synthesis with bidirectional LSTM based recurrent neural networks. | 81 | 2.59 | 2014 |
| On the training aspects of Deep Neural Network (DNN) for parametric TTS synthesis | 48 | 1.65 | 2014 |
| Development of the 2012 SJTU HVR system | 0 | 0.34 | 2012 |
