Supervised Hashing with Soft Constraints. - Cong Leng; Jian Cheng 001; Jiaxiang Wu 001; Xi Zhang 018; Hanqing Lu (CIKM, 2014)

Fast and Accurate Image Matching with Cascade Hashing for 3D Reconstruction. - Jian Cheng 001; Cong Leng; Jiaxiang Wu 001; Hainan Cui; Hanqing Lu (CVPR, 2014)

Learning Binary Codes with Bagging PCA. - Cong Leng; Jian Cheng 001; Ting Yuan; Xiao Bai 001; Hanqing Lu (ECML/PKDD (2), 2014)

Random subspace for binary codes learning in large scale image retrieval. - Cong Leng; Jian Cheng 001; Hanqing Lu (SIGIR, 2014)

Item group based pairwise preference learning for personalized ranking. - Shuang Qiu 002; Jian Cheng 001; Ting Yuan; Cong Leng; Hanqing Lu (SIGIR, 2014)

Semi-supervised multi-graph hashing for scalable similarity search. - Jian Cheng 001; Cong Leng; Peng Li; Meng Wang 001; Hanqing Lu (Comput. Vis. Image Underst., 2014)

Online sketching hashing. - Cong Leng; Jiaxiang Wu 001; Jian Cheng 001; Xiao Bai 001; Hanqing Lu (CVPR, 2015)

Hashing for Distributed Data. - Cong Leng; Jiaxiang Wu 001; Jian Cheng 001; Xi Zhang 018; Hanqing Lu (ICML, 2015)

Learning Deep Features For MSR-bing Information Retrieval Challenge. - Qiang Song; Sixie Yu; Cong Leng; Jiaxiang Wu 001; Qinghao Hu 001; Jian Cheng 001 (ACM Multimedia, 2015)

Consensus hashing. - Cong Leng; Jian Cheng 001 (Mach. Learn., 2015)

Shoot to Know What: An Application of Deep Networks on Mobile Devices. - Jiaxiang Wu 001; Qinghao Hu 001; Cong Leng; Jian Cheng 001 (AAAI, 2016)

Quantized Convolutional Neural Networks for Mobile Devices. - Jiaxiang Wu 001; Cong Leng; Yuhang Wang; Qinghao Hu 001; Jian Cheng 001 (CVPR, 2016)

Extremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM. - Cong Leng; Hao Li 030; Shenghuo Zhu; Rong Jin 001 (CoRR, 2017)

Extremely Low Bit Neural Network: Squeeze the Last Bit Out With ADMM. - Cong Leng; Zesheng Dou; Hao Li 030; Shenghuo Zhu; Rong Jin 001 (AAAI, 2018)

Quantized CNN: A Unified Approach to Accelerate and Compress Convolutional Networks. - Jian Cheng 001; Jiaxiang Wu 001; Cong Leng; Yuhang Wang; Qinghao Hu 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

AirFace: Lightweight and Efficient Model for Face Recognition. - Xianyang Li; Feng Wang; Qinghao Hu; Cong Leng (ICCV Workshops, 2019)

A System-Level Solution for Low-Power Object Detection. - Fanrong Li; Yang Zhang; Jian Cheng 001; Zitao Mo; Peisong Wang; Zejian Liu; Jiayun Zhang; Gang Li 015; Qinghao Hu 001; Xiangyu He; Cong Leng (ICCV Workshops, 2019)

BitStream: An efficient framework for inference of binary neural networks on CPUs. - Yanshu Jiang; Tianli Zhao; Xiangyu He; Cong Leng; Jian Cheng 001 (Pattern Recognit. Lett., 2019)

Hardware Acceleration of CNN with One-Hot Quantization of Weights and Activations. - Gang Li 015; Peisong Wang; Zejian Liu; Cong Leng; Jian Cheng 001 (DATE, 2020)

An Ensemble Neural Network for Scene Relighting with Light Classification. - Liping Dong; Yu Zhu 004; Zhuolong Jiang; Xiangyu He; Zhaohui Meng; Chenghua Li; Cong Leng; Jian Cheng 001 (ECCV Workshops (3), 2020)

AIM 2020: Scene Relighting and Illumination Estimation Challenge. - Majed El Helou; Ruofan Zhou; Sabine Süsstrunk; Radu Timofte; Mahmoud Afifi; Michael S. Brown; Kele Xu; Hengxing Cai; Yuzhong Liu; Li-Wen Wang; Zhi-Song Liu; Chu-Tak Li; et al. (ECCV Workshops (3), 2020)

AIM 2020 Challenge on Rendering Realistic Bokeh. - Andrey Ignatov; Radu Timofte; Ming Qian; Congyu Qiao; Jiamin Lin; Zhenyu Guo; Chenghua Li; Cong Leng; Jian Cheng 001; Juewen Peng; Xianrui Luo; Ke Xian; et al. (ECCV Workshops (3), 2020)

AIM 2020 Challenge on Learned Image Signal Processing Pipeline. - Andrey Ignatov; Radu Timofte; Zhilu Zhang 001; Ming Liu 018; Haolin Wang; Wangmeng Zuo; Jiawei Zhang 002; Ruimao Zhang; Zhanglin Peng; Sijie Ren; Linhui Dai; Xiaohong Liu 001; et al. (ECCV Workshops (3), 2020)

BGGAN: Bokeh-Glass Generative Adversarial Network for Rendering Realistic Bokeh. - Ming Qian; Congyu Qiao; Jiamin Lin; Zhenyu Guo; Chenghua Li; Cong Leng; Jian Cheng 001 (ECCV Workshops (3), 2020)

AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. - Kai Zhang 008; Martin Danelljan; Yawei Li 001; Radu Timofte; Jie Liu 040; Jie Tang 006; Gangshan Wu; Yu Zhu 004; Xiangyu He; Wenjie Xu; Chenghua Li; Cong Leng; et al. (ECCV Workshops (3), 2020)

EEDNet: Enhanced Encoder-Decoder Network for AutoISP. - Yu Zhu 004; Zhenyu Guo; Tian Liang; Xiangyu He; Chenghua Li; Cong Leng; Bo Jiang 002; Yifan Zhang 001; Jian Cheng 001 (ECCV Workshops (3), 2020)

ATF: Towards Robust Face Alignment via Leveraging Similarity and Diversity across Different Datasets. - Xing Lan; Qinghao Hu 001; Fangzhou Xiong; Cong Leng; Jian Cheng 001 (ACM Multimedia, 2020)

AIM 2020 Challenge on Learned Image Signal Processing Pipeline. - Andrey Ignatov; Radu Timofte; Zhilu Zhang 001; Ming Liu 018; Haolin Wang; Wangmeng Zuo; Jiawei Zhang 002; Ruimao Zhang; Zhanglin Peng; Sijie Ren; Linhui Dai; Xiaohong Liu 001; et al. (CoRR, 2020)

Weakly Supervised Salient Object Detection with Box Annotation. - Zhentao Jiang; Qiang Chen 007; Bo Jiang 002; Cong Leng; Jian Cheng 001 (ACPR (1), 2021)

Architecture Aware Latency Constrained Sparse Neural Networks. - Tianli Zhao; Qinghao Hu 001; Xiangyu He; Weixiang Xu; Jiaxing Wang; Cong Leng; Jian Cheng 001 (CoRR, 2021)

Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report. - Marcos V. Conde; Radu Timofte; Yibin Huang; Jingyang Peng; Chang Chen; Cheng Li 009; Eduardo Pérez-Pellitero; Fenglong Song; Furui Bai; Shuai Liu 009; Chaoyu Feng; Xiaotao Wang; et al. (ECCV Workshops (3), 2022)

AIM 2022 Challenge on Instagram Filter Removal: Methods and Results. - Furkan Kinli; Sami Mentes; Baris Özcan; Furkan Kiraç; Radu Timofte; Yi Zuo; Zitao Wang; Xiaowen Zhang; Yu Zhu 004; Chenghua Li; Cong Leng; Jian Cheng 001; et al. (ECCV Workshops (3), 2022)

AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results. - Ren Yang; Radu Timofte; Xin Li 106; Qi Zhang 029; Lin Zhang 013; Fanglong Liu; Dongliang He; Fu Li 003; He Zheng; Weihang Yuan; Pavel Ostyakov; Dmitry Vyal; et al. (ECCV Workshops (3), 2022)

AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results. - Ren Yang; Radu Timofte; Xin Li 106; Qi Zhang 029; Lin Zhang 013; Fanglong Liu; Dongliang He; Fu Li 003; He Zheng; Weihang Yuan; Pavel Ostyakov; Dmitry Vyal; et al. (CoRR, 2022)

TinyNeRF: Towards 100 x Compression of Voxel Radiance Fields. - Tianli Zhao; Jiayuan Chen 003; Cong Leng; Jian Cheng 001 (AAAI, 2023)

NTIRE 2023 Image Shadow Removal Challenge Report. - Florin-Alexandru Vasluianu; Tim Seizinger; Radu Timofte; Shuhao Cui; Junshi Huang; Shuman Tian; Mingyuan Fan 002; Jiaqi Zhang; Li Zhu 003; Xiaoming Wei; Xiaolin Wei; Ziwei Luo; et al. (CVPR Workshops, 2023)

ECBC: Efficient Convolution via Blocked Columnizing. - Tianli Zhao; Qinghao Hu 001; Xiangyu He; Weixiang Xu; Jiaxing Wang; Cong Leng; Jian Cheng 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)