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ORCIDJian Cheng 0001
程健
Person information
- unicode name: 程健
- affiliation: Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China
- affiliation (2004 - 2006): Nokia Research Center, Beijing, China
- affiliation (PhD 2004): Chinese Academy of Sciences, Institute of Automation, Beijing, China
Other persons with the same name
- Jian Cheng — disambiguation page
- Jian Cheng 0002
![[0000-0003-1435-673X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-1435-673X")
— National Institutes of Health, Bethesda, MD, USA (and 3 more) - Jian Cheng 0003 — University of Electronic Science and Technology of China, Department of Information and Communication Engineering, Chengdu, China
- Jian Cheng 0004 — China Coal Research Institute, Research Institute of Mine Big Data, Beijing, China (and 1 more)
- Jian Cheng 0005 — University of Paderborn, Germany
- Jian Cheng 0006 — Institute of Software, Chinese Academy of Sciences, Beijing, China
- Jian Cheng 0007 — Institute of Applied Physics and Computational Mathematics, Laboratory of Computational Physics, Beijing, China (and 2 more)
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2020 – today
- 2024
[j96]Jizhe Li, Sensen Chu, Qixin Hu, Yu Cong, Jian Cheng, Hui Chen, Liang Cheng, Guoping Zhang, Shuai Xing:
Land-sea classification based on the fast feature detection model for ICESat-2 ATL03 datasets. Int. J. Appl. Earth Obs. Geoinformation 130: 103916 (2024)- [j95]Hui Chen, Jian Cheng, Xiaoguang Ruan, Jizhe Li, Li Ye, Sensen Chu, Liang Cheng, Ka Zhang:
Satellite remote sensing and bathymetry co-driven deep neural network for coral reef shallow water benthic habitat classification. Int. J. Appl. Earth Obs. Geoinformation 132: 104054 (2024) - [j94]Ning Li, Liang Cheng, Lei Wang, Hui Chen, Yalu Zhang, Yunchang Yao, Jian Cheng, Manchun Li:
Automatic labelling framework for optical remote sensing object detection samples in a wide area using deep learning. Expert Syst. Appl. 255: 124827 (2024) - [j93]Jian Cheng, Chen Feng, Yang Xiao, Zhiguo Cao:
Late better than early: A decision-level information fusion approach for RGB-Thermal crowd counting with illumination awareness. Neurocomputing 594: 127888 (2024) - [j92]Zouzhang Peng, Shuai Zheng, Zhenfeng Zhu, Zhizhe Liu, Jian Cheng, Honghui Dong, Yao Zhao:
Graph meets probabilistic generation model: A new perspective for graph disentanglement. Pattern Recognit. 148: 110153 (2024) - [j91]Chen Feng, Jian Cheng, Yang Xiao, Zhiguo Cao:
Advance One-Shot Multispectral Instance Detection With Text's Supervision. IEEE Signal Process. Lett. 31: 1605-1609 (2024) - [j90]Shuai Zheng, Zhenfeng Zhu, Zhizhe Liu, Jian Cheng, Yao Zhao:
Adversarial Graph Disentanglement With Component-Specific Aggregation. IEEE Trans. Artif. Intell. 5(5): 2204-2216 (2024) - [j89]Peisong Wang, Xiangyu He, Jian Cheng:
Toward Accurate Binarized Neural Networks With Sparsity for Mobile Application. IEEE Trans. Neural Networks Learn. Syst. 35(1): 272-284 (2024) - [c181]Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng:
Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing. AAAI 2024: 12376-12384 - [c180]Zhengyang Zhuge, Jiaxing Wang, Yong Li, Yongjun Bao, Peisong Wang, Jian Cheng:
Patch-Aware Sample Selection for Efficient Masked Image Modeling. AAAI 2024: 17245-17253 - [c179]Junkai Zhang, Yifan Zhang, Xi Sheryl Zhang, Yifan Zang, Jian Cheng:
Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning. AAAI 2024: 17600-17608 - [c178]Zeyu Zhu, Fanrong Li, Gang Li, Zejian Liu, Zitao Mo, Qinghao Hu, Xiaoyao Liang, Jian Cheng:
MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization. HPCA 2024: 124-138 - [c177]Yuheng Jing, Kai Li, Bingyun Liu, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng:
Towards Offline Opponent Modeling with In-context Learning. ICLR 2024 - [c176]Hang Xu, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng:
Dynamic Discounted Counterfactual Regret Minimization. ICLR 2024 - [c175]Zhengyang Zhuge, Peisong Wang, Xingting Yao, Jian Cheng:
Towards Efficient Spiking Transformer: a Token Sparsification Framework for Training and Inference Acceleration. ICML 2024 - [c174]Hang Xu, Kai Li, Bingyun Liu, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng:
Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent. IJCAI 2024: 5272-5280 - [c173]Jing Yang, Jian Cheng, Cheng Li, Wenxin Fan, Juan Zou, Ruoyou Wu, Qiegen Liu, Hairong Zheng, Shanshan Wang:
Simultaneous Q-Space Sampling Optimization and Reconstruction for Fast and High-Fidelity Diffusion Magnetic Resonance Imaging. ISBI 2024: 1-4 - [c172]Ruoyou Wu, Jian Cheng, Cheng Li, Juan Zou, Jing Yang, Wenxin Fan, Yong Liang, Shanshan Wang:
CSR-dMRI: Continuous Super-Resolution of Diffusion MRI with Anatomical Structure-Assisted Implicit Neural Representation Learning. MLMI@MICCAI (1) 2024: 114-123 - [c171]Xi Sheryl Zhang, Weifan Guan, Jiahao Lu, Zhaopeng Qiu, Jian Cheng, Xian Wu, Yefeng Zheng:
GraphLeak: Patient Record Leakage through Gradients with Knowledge Graph. WWW 2024: 4706-4716 - [i68]Jing Yang, Jian Cheng, Cheng Li, Wenxin Fan, Juan Zou, Ruoyou Wu, Shanshan Wang:
Simultaneous q-Space Sampling Optimization and Reconstruction for Fast and High-fidelity Diffusion Magnetic Resonance Imaging. CoRR abs/2401.01662 (2024) - [i67]Wenxin Fan, Jian Cheng, Cheng Li, Xinrui Ma, Jing Yang, Juan Zou, Ruoyou Wu, Qiegen Liu, Shanshan Wang:
AID-DTI: Accelerating High-fidelity Diffusion Tensor Imaging with Detail-Preserving Model-based Deep Learning. CoRR abs/2401.01693 (2024) - [i66]Hang Xu, Kai Li, Bingyun Liu, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng:
Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent. CoRR abs/2404.13891 (2024) - [i65]Wenxin Fan, Jian Cheng, Cheng Li, Xinrui Ma, Jing Yang, Juan Zou, Ruoyou Wu, Zan Chen, Yuanjing Feng, Hairong Zheng, Shanshan Wang:
DeepMpMRI: Tensor-decomposition Regularized Learning for Fast and High-Fidelity Multi-Parametric Microstructural MR Imaging. CoRR abs/2405.03159 (2024) - [i64]Tianqi Chen, Zhe Li, Weixiang Xu, Zeyu Zhu, Dong Li, Lu Tian, Emad Barsoum, Peisong Wang, Jian Cheng:
TernaryLLM: Ternarized Large Language Model. CoRR abs/2406.07177 (2024) - [i63]Ying Fu, Yu Li, Shaodi You, Boxin Shi, Jose Alvarez, Coert Van Gemeren, Linwei Chen, Yunhao Zou, Zichun Wang, Yichen Li, Yuze Han, Yingkai Zhang, Jianan Wang, Qinglin Liu, Wei Yu, Xiaoqian Lv, Jianing Li, Shengping Zhang, Xiangyang Ji, Yuanpei Chen, Yuhan Zhang, Weihang Peng, Liwen Zhang, Zhe Xu, Dingyong Gou, Cong Li, Senyan Xu, Yunkang Zhang, Siyuan Jiang, Xiaoqiang Lu, Licheng Jiao, Fang Liu, Xu Liu, Lingling Li, Wenping Ma, Shuyuan Yang, Haiyang Xie, Jian Zhao, Shihuang Huang, Peng Cheng, Xi Shen, Zheng Wang, Shuai An, Caizhi Zhu, Xuelong Li, Tao Zhang, Liang Li, Yu Liu, Chenggang Yan, Gengchen Zhang, Linyan Jiang, Bingyi Song, Zhuoyu An, Haibo Lei, Qing Luo, Jie Song, Yuan Liu, Qihang Li, Haoyuan Zhang, Lingfeng Wang, Wei Chen, Aling Luo, Cheng Li, Jun Cao, Shu Chen, Zifei Dou, Xinyu Liu, Jing Zhang, Kexin Zhang, Yuting Yang, Xuejian Gou, Qinliang Wang, Yang Liu, Shizhan Zhao, Yanzhao Zhang, Libo Yan, Yuwei Guo, Guoxin Li, Qiong Gao, Chenyue Che, Long Sun, Xiang Chen, Hao Li, Jinshan Pan, Chuanlong Xie, Hongming Chen, Mingrui Li, Tianchen Deng, Jingwei Huang, Yufeng Li, Fei Wan, Bingxin Xu, Jian Cheng, Hongzhe Liu, Cheng Xu, Yuxiang Zou, Weiguo Pan, Songyin Dai, Sen Jia, Junpei Zhang:
Technique Report of CVPR 2024 PBDL Challenges. CoRR abs/2406.10744 (2024) - [i62]Junkai Zhang, Yifan Zhang, Xi Sheryl Zhang, Yifan Zang, Jian Cheng:
Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2406.18152 (2024) - [i61]Taohui Xiao, Jian Cheng, Wenxin Fan, Jing Yang, Cheng Li, Enqing Dong, Shanshan Wang:
RobNODDI: Robust NODDI Parameter Estimation with Adaptive Sampling under Continuous Representation. CoRR abs/2408.01944 (2024) - [i60]Wenxin Fan, Jian Cheng, Cheng Li, Jing Yang, Ruoyou Wu, Juan Zou, Shanshan Wang:
AID-DTI: Accelerating High-fidelity Diffusion Tensor Imaging with Detail-preserving Model-based Deep Learning. CoRR abs/2408.10236 (2024) - [i59]Zeyu Zhu, Peisong Wang, Qinghao Hu, Gang Li, Xiaoyao Liang, Jian Cheng:
FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large Scale. CoRR abs/2409.14939 (2024) - 2023
- [j88]Hui Chen, Sensen Chu, Qizhi Zhuang, Zhixin Duan, Jian Cheng, Jizhe Li, Li Ye, Jun Yu, Liang Cheng:
FSPN: End-to-end full-space pooling weakly supervised network for benthic habitat mapping using remote sensing images. Int. J. Appl. Earth Obs. Geoinformation 118: 103264 (2023) - [j87]Yuxin Gong, Haogang Zhu, Jixing Li, Jingchun Yang, Jian Cheng, Ying Chang, Xiao Bai, Xunming Ji:
SCCNet: Self-correction boundary preservation with a dynamic class prior filter for high-variability ultrasound image segmentation. Comput. Medical Imaging Graph. 104: 102183 (2023) - [j86]Jian Cheng, Liang Cheng, Sensen Chu, Jizhe Li, Qixin Hu, Li Ye, Zhiyong Wang, Hui Chen:
A Comprehensive Evaluation of Machine Learning and Classical Approaches for Spaceborne Active-Passive Fusion Bathymetry of Coral Reefs. ISPRS Int. J. Geo Inf. 12(9): 381 (2023) - [j85]Peisong Wang, Weihan Chen, Xiangyu He, Qiang Chen, Qingshan Liu, Jian Cheng:
Optimization-Based Post-Training Quantization With Bit-Split and Stitching. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2119-2135 (2023) - [j84]Weihan Chen, Peisong Wang, Jian Cheng:
Towards Automatic Model Compression via a Unified Two-Stage Framework. Pattern Recognit. 140: 109527 (2023) - [j83]Jian Cheng, Peng Ren, Tingxiang Deng:
A Novel Ranging and IMU-Based Method for Relative Positioning of Two-MAV Formation in GNSS-Denied Environments. Sensors 23(9): 4366 (2023) - [j82]Zejian Liu, Gang Li, Jian Cheng:
Efficient Accelerator/Network Co-Search With Circular Greedy Reinforcement Learning. IEEE Trans. Circuits Syst. II Express Briefs 70(7): 2615-2619 (2023) - [j81]Weixiang Xu, Fanrong Li, Yingying Jiang, Yong A, Xiangyu He, Peisong Wang, Jian Cheng:
Improving Extreme Low-Bit Quantization With Soft Threshold. IEEE Trans. Circuits Syst. Video Technol. 33(4): 1549-1563 (2023) - [j80]Hui Chen, Liang Cheng, Ning Li, Yunchang Yao, Jian Cheng, Ka Zhang:
S&GDA: An Unsupervised Domain Adaptive Semantic Segmentation Framework Considering Both Imaging Scene and Geometric Domain Shifts. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j79]Xing Lan, Qinghao Hu, Jian Cheng:
ATF: An Alternating Training Framework for Weakly Supervised Face Alignment. IEEE Trans. Multim. 25: 1798-1809 (2023) - [j78]Tianli Zhao, Qinghao Hu, Xiangyu He, Weixiang Xu, Jiaxing Wang, Cong Leng, Jian Cheng:
ECBC: Efficient Convolution via Blocked Columnizing. IEEE Trans. Neural Networks Learn. Syst. 34(1): 433-445 (2023) - [j77]Bo Jiang, Leiling Wang, Jian Cheng, Jin Tang, Bin Luo:
GPENs: Graph Data Learning With Graph Propagation-Embedding Networks. IEEE Trans. Neural Networks Learn. Syst. 34(8): 3925-3938 (2023) - [j76]Peisong Wang, Fanrong Li, Gang Li, Jian Cheng:
Extremely Sparse Networks via Binary Augmented Pruning for Fast Image Classification. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4167-4180 (2023) - [c170]Tianli Zhao, Jiayuan Chen, Cong Leng, Jian Cheng:
TinyNeRF: Towards 100 x Compression of Voxel Radiance Fields. AAAI 2023: 3588-3596 - [c169]Zejian Liu, Kun Zhao, Jian Cheng:
TBERT: Dynamic BERT Inference with Top-k Based Predictors. DATE 2023: 1-6 - [c168]Sicong Liu, Xi Sheryl Zhang, Yushuo Li, Yifan Zhang, Jian Cheng:
On the Data-Efficiency with Contrastive Image Transformation in Reinforcement Learning. ICLR 2023 - [c167]Zeyu Zhu, Fanrong Li, Zitao Mo, Qinghao Hu, Gang Li, Zejian Liu, Xiaoyao Liang, Jian Cheng:
$\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks. ICLR 2023 - [c166]Zhixiang Ye, Qinghao Hu, Tianli Zhao, Wangping Zhou, Jian Cheng:
MCUNeRF: Packing NeRF into an MCU with 1MB Memory. ACM Multimedia 2023: 9082-9092 - [c165]Tianqi Chen, Weixiang Xu, Weihan Chen, Peisong Wang, Jian Cheng:
Towards Efficient and Accurate Winograd Convolution via Full Quantization. NeurIPS 2023 - [c164]Yifan Zang, Jinmin He, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng:
Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning. NeurIPS 2023 - [i58]Zeyu Zhu, Fanrong Li, Zitao Mo, Qinghao Hu, Gang Li, Zejian Liu, Xiaoyao Liang, Jian Cheng:
A2Q: Aggregation-Aware Quantization for Graph Neural Networks. CoRR abs/2302.00193 (2023) - [i57]Anda Cheng, Zhen Wang, Yaliang Li, Jian Cheng:
HPN: Personalized Federated Hyperparameter Optimization. CoRR abs/2304.05195 (2023) - [i56]Yiqun Chen, Qiang Chen, Peize Sun, Shoufa Chen, Jingdong Wang, Jian Cheng:
Enhancing Your Trained DETRs with Box Refinement. CoRR abs/2307.11828 (2023) - [i55]Xingting Yao, Qinghao Hu, Tielong Liu, Zitao Mo, Zeyu Zhu, Zhengyang Zhuge, Jian Cheng:
Spiking NeRF: Making Bio-inspired Neural Networks See through the Real World. CoRR abs/2309.10987 (2023) - [i54]Zeyu Zhu, Fanrong Li, Gang Li, Zejian Liu, Zitao Mo, Qinghao Hu, Xiaoyao Liang, Jian Cheng:
MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization. CoRR abs/2311.09775 (2023) - [i53]Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng:
Not All Tasks Are Equally Difficult: Multi-Task Reinforcement Learning with Dynamic Depth Routing. CoRR abs/2312.14472 (2023) - 2022
- [j75]Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu:
Action recognition via pose-based graph convolutional networks with intermediate dense supervision. Pattern Recognit. 121: 108170 (2022) - [j74]Gang Li, Zejian Liu, Fanrong Li, Jian Cheng:
Block Convolution: Toward Memory-Efficient Inference of Large-Scale CNNs on FPGA. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(5): 1436-1447 (2022) - [j73]Zhizhe Liu, Xingxing Zhang, Zhenfeng Zhu, Shuai Zheng, Yao Zhao, Jian Cheng:
MFHI: Taking Modality-Free Human Identification as Zero-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 32(8): 5225-5237 (2022) - [j72]Guan'an Wang, Qinghao Hu, Yang Yang, Jian Cheng, Zeng-Guang Hou:
Adversarial Binary Mutual Learning for Semi-Supervised Deep Hashing. IEEE Trans. Neural Networks Learn. Syst. 33(8): 4110-4124 (2022) - [c163]Weixiang Xu, Xiangyu He, Ke Cheng, Peisong Wang, Jian Cheng:
Towards Fully Sparse Training: Information Restoration with Spatial Similarity. AAAI 2022: 2929-2937 - [c162]Anda Cheng, Jiaxing Wang, Xi Sheryl Zhang, Qiang Chen, Peisong Wang, Jian Cheng:
DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy. AAAI 2022: 6358-6366 - [c161]Qiang Chen, Qiman Wu, Jian Wang, Qinghao Hu, Tao Hu, Errui Ding, Jian Cheng, Jingdong Wang:
MixFormer: Mixing Features across Windows and Dimensions. CVPR 2022: 5239-5249 - [c160]Jiahao Lu, Xi Sheryl Zhang, Tianli Zhao, Xiangyu He, Jian Cheng:
APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers. CVPR 2022: 10041-10050 - [c159]Anda Cheng, Peisong Wang, Xi Sheryl Zhang, Jian Cheng:
Differentially Private Federated Learning with Local Regularization and Sparsification. CVPR 2022: 10112-10121 - [c158]Marcos V. Conde, Radu Timofte, Yibin Huang, Jingyang Peng, Chang Chen, Cheng Li, Eduardo Pérez-Pellitero, Fenglong Song, Furui Bai, Shuai Liu, Chaoyu Feng, Xiaotao Wang, Lei Lei, Yu Zhu, Chenghua Li, Yingying Jiang, Yong A, Peisong Wang, Cong Leng, Jian Cheng, Xiaoyu Liu, Zhicun Yin, Zhilu Zhang, Junyi Li, Ming Liu, Wangmeng Zuo, Jun Jiang, Jinha Kim, Yue Zhang, Beiji Zou, Zhikai Zong, Xiaoxiao Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Furkan Kinli, Baris Özcan, Furkan Kiraç, Li Leyi, S. M. Nadim Uddin, Dipon Kumar Ghosh, Yong Ju Jung:
Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report. ECCV Workshops (3) 2022: 3-26 - [c157]Furkan Kinli, Sami Mentes, Baris Özcan, Furkan Kiraç, Radu Timofte, Yi Zuo, Zitao Wang, Xiaowen Zhang, Yu Zhu, Chenghua Li, Cong Leng, Jian Cheng, Shuai Liu, Chaoyu Feng, Furui Bai, Xiaotao Wang, Lei Lei, Tianzhi Ma, Zi-han Gao, Wenxin He, Woon-Ha Yeo, Wang-Taek Oh, Young-Il Kim, Han-Cheol Ryu, Gang He, Shaoyi Long, S. M. A. Sharif, Rizwan Ali Naqvi, Sungjun Kim, Guisik Kim, Seohyeon Lee, Sabari Nathan, Priya Kansal:
AIM 2022 Challenge on Instagram Filter Removal: Methods and Results. ECCV Workshops (3) 2022: 27-43 - [c156]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 - [c155]Linhui Sun, Yifan Zhang, Ke Cheng, Jian Cheng, Hanqing Lu:
MENet: A Memory-Based Network with Dual-Branch for Efficient Event Stream Processing. ECCV (24) 2022: 214-234 - [c154]Qinghao Hu, Gang Li, Qiman Wu, Jian Cheng:
PalQuant: Accelerating High-Precision Networks on Low-Precision Accelerators. ECCV (11) 2022: 312-327 - [c153]Xiaoyi Dong, Yu Zhu, Chenghua Li, Peisong Wang, Jian Cheng:
RISPNet: A Network for Reversed Image Signal Processing. ECCV Workshops (2) 2022: 445-457 - [c152]Xiaoran Qin, Yu Zhu, Chenghua Li, Peisong Wang, Jian Cheng:
CIDBNet: A Consecutively-Interactive Dual-Branch Network for JPEG Compressed Image Super-Resolution. ECCV Workshops (2) 2022: 458-474 - [c151]Tianli Zhao, Xi Sheryl Zhang, Wentao Zhu, Jiaxing Wang, Sen Yang, Ji Liu, Jian Cheng:
Multi-granularity Pruning for Model Acceleration on Mobile Devices. ECCV (11) 2022: 484-501 - [c150]Weixiang Xu, Jian Cheng:
Stacking More Linear Operations with Orthogonal Regularization to Learn Better. ICIP 2022: 2731-2735 - [c149]Gang Li, Weixiang Xu, Zhuoran Song, Naifeng Jing, Jian Cheng, Xiaoyao Liang:
Ristretto: An Atomized Processing Architecture for Sparsity-Condensed Stream Flow in CNN. MICRO 2022: 1434-1450 - [c148]Weihan Cao, Yifan Zhang, Jianfei Gao, Anda Cheng, Ke Cheng, Jian Cheng:
PKD: General Distillation Framework for Object Detectors via Pearson Correlation Coefficient. NeurIPS 2022 - [c147]Yanpeng Sun, Qiang Chen, Xiangyu He, Jian Wang, Haocheng Feng, Junyu Han, Errui Ding, Jian Cheng, Zechao Li, Jingdong Wang:
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning. NeurIPS 2022 - [c146]Xingting Yao, Fanrong Li, Zitao Mo, Jian Cheng:
GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks. NeurIPS 2022 - [i52]Zhexin Li, Tong Yang, Peisong Wang, Jian Cheng:
Q-ViT: Fully Differentiable Quantization for Vision Transformer. CoRR abs/2201.07703 (2022) - [i51]Xiangyu He, Jian Cheng:
Revisiting L1 Loss in Super-Resolution: A Probabilistic View and Beyond. CoRR abs/2201.10084 (2022) - [i50]Anda Cheng, Peisong Wang, Xi Sheryl Zhang, Jian Cheng:
Differentially Private Federated Learning with Local Regularization and Sparsification. CoRR abs/2203.03106 (2022) - [i49]Weixiang Xu, Xiangyu He, Tianli Zhao, Qinghao Hu, Peisong Wang, Jian Cheng:
Soft Threshold Ternary Networks. CoRR abs/2204.01234 (2022) - [i48]Qiang Chen, Qiman Wu, Jian Wang, Qinghao Hu, Tao Hu, Errui Ding, Jian Cheng, Jingdong Wang:
MixFormer: Mixing Features across Windows and Dimensions. CoRR abs/2204.02557 (2022) - [i47]Yanpeng Sun, Qiang Chen, Xiangyu He, Jian Wang, Haocheng Feng, Junyu Han, Errui Ding, Jian Cheng, Zechao Li, Jingdong Wang:
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning. CoRR abs/2206.06122 (2022) - [i46]Weihan Cao, Yifan Zhang, Jianfei Gao, Anda Cheng, Ke Cheng, Jian Cheng:
PKD: General Distillation Framework for Object Detectors via Pearson Correlation Coefficient. CoRR abs/2207.02039 (2022) - [i45]Qinghao Hu, Gang Li, Qiman Wu, Jian Cheng:
PalQuant: Accelerating High-precision Networks on Low-precision Accelerators. CoRR abs/2208.01944 (2022) - [i44]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) - [i43]Furkan Kinli, Sami Mentes, Baris Özcan, Furkan Kiraç, Radu Timofte, Yi Zuo, Zitao Wang, Xiaowen Zhang, Yu Zhu, Chenghua Li, Cong Leng, Jian Cheng, Shuai Liu, Chaoyu Feng, Furui Bai, Xiaotao Wang, Lei Lei, Tianzhi Ma, Zi-han Gao, Wenxin He, Woon-Ha Yeo, Wang-Taek Oh, Young-Il Kim, Han-Cheol Ryu, Gang He, Shaoyi Long, S. M. A. Sharif, Rizwan Ali Naqvi, Sungjun Kim, Guisik Kim, Seohyeon Lee, Sabari Nathan, Priya Kansal:
AIM 2022 Challenge on Instagram Filter Removal: Methods and Results. CoRR abs/2210.08997 (2022) - [i42]Marcos V. Conde, Radu Timofte, Yibin Huang, Jingyang Peng, Chang Chen, Cheng Li, Eduardo Pérez-Pellitero, Fenglong Song, Furui Bai, Shuai Liu, Chaoyu Feng, Xiaotao Wang, Lei Lei, Yu Zhu, Chenghua Li, Yingying Jiang, Yong A, Peisong Wang, Cong Leng, Jian Cheng, Xiaoyu Liu, Zhicun Yin, Zhilu Zhang, Junyi Li, Ming Liu, Wangmeng Zuo, Jun Jiang, Jinha Kim, Yue Zhang, Beiji Zou, Zhikai Zong, Xiaoxiao Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Furkan Kinli, Baris Özcan, Furkan Kiraç, Li Leyi, S. M. Nadim Uddin, Dipon Kumar Ghosh, Yong Ju Jung:
Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report. CoRR abs/2210.11153 (2022) - [i41]Xingting Yao, Fanrong Li, Zitao Mo, Jian Cheng:
GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks. CoRR abs/2210.13768 (2022) - [i40]Yiqun Chen, Qiang Chen, Qinghao Hu, Jian Cheng:
DATE: Dual Assignment for End-to-End Fully Convolutional Object Detection. CoRR abs/2211.13859 (2022) - 2021
- [j71]Qi Wang, Jian Cheng, Jianqiang Deng, Xinfang Zhang:
3D-CenterNet: 3D object detection network for point clouds with center estimation priority. Pattern Recognit. 115: 107884 (2021) - [j70]Qiang Chen, Anda Cheng, Xiangyu He, Peisong Wang, Jian Cheng:
SpatialFlow: Bridging All Tasks for Panoptic Segmentation. IEEE Trans. Circuits Syst. Video Technol. 31(6): 2288-2300 (2021) - [j69]Jian Cheng, Haipeng Xiong, Zhiguo Cao, Hao Lu:
Decoupled Two-Stage Crowd Counting and Beyond. IEEE Trans. Image Process. 30: 2862-2875 (2021) - [j68]Ke Cheng, Yifan Zhang, Xiangyu He, Jian Cheng, Hanqing Lu:
Extremely Lightweight Skeleton-Based Action Recognition With ShiftGCN++. IEEE Trans. Image Process. 30: 7333-7348 (2021) - [j67]Peisong Wang, Xiangyu He, Qiang Chen, Anda Cheng, Qingshan Liu, Jian Cheng:
Unsupervised Network Quantization via Fixed-Point Factorization. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2706-2720 (2021) - [c145]Zejian Liu, Fanrong Li, Gang Li, Jian Cheng:
EBERT: Efficient BERT Inference with Dynamic Structured Pruning. ACL/IJCNLP (Findings) 2021: 4814-4823 - [c144]Zhentao Jiang, Qiang Chen, Bo Jiang, Cong Leng, Jian Cheng:
Weakly Supervised Salient Object Detection with Box Annotation. ACPR (1) 2021: 197-211 - [c143]Yu Zhu, Bosong Ding, Chenghua Li, Wanli Qian, Fangya Li, Yiheng Yao, Ruipeng Gang, Chunjie Zhang, Jian Cheng:
LTNet: Light Transfer Network for Depth Guided Image Relighting. CVPR Workshops 2021: 243-251 - [c142]Xiangyu He, Jiahao Lu, Weixiang Xu, Qinghao Hu, Peisong Wang, Jian Cheng:
Generative Zero-Shot Network Quantization. CVPR Workshops 2021: 3000-3011 - [c141]Qiang Chen, Yingming Wang, Tong Yang, Xiangyu Zhang, Jian Cheng, Jian Sun:
You Only Look One-Level Feature. CVPR 2021: 13039-13048 - [c140]Zejian Liu, Gang Li, Jian Cheng:
Hardware Acceleration of Fully Quantized BERT for Efficient Natural Language Processing. DATE 2021: 513-516 - [c139]Fanrong Li, Gang Li, Xiangyu He, Jian Cheng:
Dynamic Dual Gating Neural Networks. ICCV 2021: 5310-5319 - [c138]Weihan Chen, Peisong Wang, Jian Cheng:
Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization. ICCV 2021: 5330-5339 - [c137]Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu:
AdaSGN: Adapting Joint Number and Model Size for Efficient Skeleton-Based Action Recognition. ICCV 2021: 13393-13402 - [c136]Xing Lan, Qinghao Hu, Jian Cheng:
Revisting Quantization Error in Face Alignment. ICCVW 2021: 1521-1530 - [c135]Zhenmeng Zuo, Zhexin Li, Peisong Wang, Weihan Chen, Jian Cheng:
Towards Binarized MobileNet via Structured Sparsity. ICIG (1) 2021: 688-699 - [i39]Xiangyu He, Qinghao Hu, Peisong Wang, Jian Cheng:
Generative Zero-shot Network Quantization. CoRR abs/2101.08430 (2021) - [i38]Zejian Liu, Gang Li, Jian Cheng:
Hardware Acceleration of Fully Quantized BERT for Efficient Natural Language Processing. CoRR abs/2103.02800 (2021) - [i37]Qiang Chen, Yingming Wang, Tong Yang, Xiangyu Zhang, Jian Cheng, Jian Sun:
You Only Look One-level Feature. CoRR abs/2103.09460 (2021) - [i36]Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu:
AdaSGN: Adapting Joint Number and Model Size for Efficient Skeleton-Based Action Recognition. CoRR abs/2103.11770 (2021) - [i35]Xing Lan, Qinghao Hu, Jian Cheng:
HIH: Towards More Accurate Face Alignment via Heatmap in Heatmap. CoRR abs/2104.03100 (2021) - [i34]Gang Li, Zejian Liu, Fanrong Li, Jian Cheng:
Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA. CoRR abs/2105.08937 (2021) - [i33]Tianli Zhao, Qinghao Hu, Xiangyu He, Weixiang Xu, Jiaxing Wang, Cong Leng, Jian Cheng:
Architecture Aware Latency Constrained Sparse Neural Networks. CoRR abs/2109.00170 (2021) - [i32]Weixiang Xu, Qiang Chen, Xiangyu He, Peisong Wang, Jian Cheng:
Improving Binary Neural Networks through Fully Utilizing Latent Weights. CoRR abs/2110.05850 (2021) - [i31]Weihan Chen, Peisong Wang, Jian Cheng:
Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization. CoRR abs/2110.06554 (2021) - [i30]Tianli Zhao, Xi Sheryl Zhang, Wentao Zhu, Jiaxing Wang, Ji Liu, Jian Cheng:
Joint Channel and Weight Pruning for Model Acceleration on Moblie Devices. CoRR abs/2110.08013 (2021) - [i29]Anda Cheng, Jiaxing Wang, Xi Sheryl Zhang, Qiang Chen, Peisong Wang, Jian Cheng:
DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy. CoRR abs/2110.08557 (2021) - [i28]Jiahao Lu, Xi Sheryl Zhang, Tianli Zhao, Xiangyu He, Jian Cheng:
APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers. CoRR abs/2112.14087 (2021) - 2020
- [j66]Zongcheng Yue, Gang Li, Xiangyuan Jiang, Shuai Li, Jian Cheng, Peng Ren:
A Hardware Descriptive Approach to Beetle Antennae Search. IEEE Access 8: 89059-89070 (2020) - [j65]Zhizhe Liu, Xingxing Zhang, Zhenfeng Zhu, Shuai Zheng, Yao Zhao, Jian Cheng:
Convolutional prototype learning for zero-shot recognition. Image Vis. Comput. 98: 103924 (2020) - [j64]Jiaxing Wang, Haoli Bai, Jiaxiang Wu, Jian Cheng:
Bayesian Automatic Model Compression. IEEE J. Sel. Top. Signal Process. 14(4): 727-736 (2020) - [j63]Guan'an Wang, Yang Yang, Tianzhu Zhang, Jian Cheng, Zengguang Hou, Prayag Tiwari, Hari Mohan Pandey:
Cross-modality paired-images generation and augmentation for RGB-infrared person re-identification. Neural Networks 128: 294-304 (2020) - [j62]Qiang Chen, Peisong Wang, Anda Cheng, Wanguo Wang, Yifan Zhang, Jian Cheng:
Robust one-stage object detection with location-aware classifiers. Pattern Recognit. 105: 107334 (2020) - [j61]Yifan Zhang, Lei Shi, Yi Wu, Ke Cheng, Jian Cheng, Hanqing Lu:
Gesture recognition based on deep deformable 3D convolutional neural networks. Pattern Recognit. 107: 107416 (2020) - [j60]Fanrong Li, Gang Li, Zitao Mo, Xiangyu He, Jian Cheng:
FSA: A Fine-Grained Systolic Accelerator for Sparse CNNs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 3589-3600 (2020) - [j59]Chunjie Zhang, Chenghua Li, Jian Cheng:
Few-Shot Visual Classification Using Image Pairs With Binary Transformation. IEEE Trans. Circuits Syst. Video Technol. 30(9): 2867-2871 (2020) - [j58]Lu Bai, Luca Rossi, Lixin Cui, Jian Cheng, Edwin R. Hancock:
A Quantum-Inspired Similarity Measure for the Analysis of Complete Weighted Graphs. IEEE Trans. Cybern. 50(3): 1264-1277 (2020) - [j57]Chunjie Zhang, Jian Cheng, Qi Tian:
Multiview Semantic Representation for Visual Recognition. IEEE Trans. Cybern. 50(5): 2038-2049 (2020) - [j56]Chunjie Zhang, Jian Cheng, Qi Tian:
Multi-View Image Classification With Visual, Semantic and View Consistency. IEEE Trans. Image Process. 29: 617-627 (2020) - [j55]Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu:
Skeleton-Based Action Recognition With Multi-Stream Adaptive Graph Convolutional Networks. IEEE Trans. Image Process. 29: 9532-9545 (2020) - [c134]Jiaxing Wang, Jiaxiang Wu, Haoli Bai, Jian Cheng:
M-NAS: Meta Neural Architecture Search. AAAI 2020: 6186-6193 - [c133]Guan'an Wang, Tianzhu Zhang, Yang Yang, Jian Cheng, Jianlong Chang, Xu Liang, Zeng-Guang Hou:
Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification. AAAI 2020: 12144-12151 - [c132]Peisong Wang, Xiangyu He, Gang Li, Tianli Zhao, Jian Cheng:
Sparsity-Inducing Binarized Neural Networks. AAAI 2020: 12192-12199 - [c131]Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu:
Decoupled Spatial-Temporal Attention Network for Skeleton-Based Action-Gesture Recognition. ACCV (5) 2020: 38-53 - [c130]Weihan Chen, Peisong Wang, Jian Cheng:
Towards Convolutional Neural Networks Compression via Global&Progressive Product Quantization. BMVC 2020 - [c129]Ke Cheng, Yifan Zhang, Xiangyu He, Weihan Chen, Jian Cheng, Hanqing Lu:
Skeleton-Based Action Recognition With Shift Graph Convolutional Network. CVPR 2020: 180-189 - [c128]Shuai Zheng, Zhenfeng Zhu, Xingxing Zhang, Zhizhe Liu, Jian Cheng, Yao Zhao:
Distribution-Induced Bidirectional Generative Adversarial Network for Graph Representation Learning. CVPR 2020: 7222-7231 - [c127]Gang Li, Peisong Wang, Zejian Liu, Cong Leng, Jian Cheng:
Hardware Acceleration of CNN with One-Hot Quantization of Weights and Activations. DATE 2020: 971-974 - [c126]Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Xiaotong Luo, Liang Chen, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Éric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, C. V. Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni:
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. ECCV Workshops (3) 2020: 5-40 - [c125]Yu Zhu, Zhenyu Guo, Tian Liang, Xiangyu He, Chenghua Li, Cong Leng, Bo Jiang, Yifan Zhang, Jian Cheng:
EEDNet: Enhanced Encoder-Decoder Network for AutoISP. ECCV Workshops (3) 2020: 171-184 - [c124]Andrey Ignatov, Radu Timofte, Ming Qian, Congyu Qiao, Jiamin Lin, Zhenyu Guo, Chenghua Li, Cong Leng, Jian Cheng, Juewen Peng, Xianrui Luo, Ke Xian, Zijin Wu, Zhiguo Cao, Densen Puthussery, C. V. Jiji, Hrishikesh P. S, Melvin Kuriakose, Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Saagara M. B, Minnu A. L, Sanjana A. R, Praseeda S, Ge Wu, Xueqin Chen, Tengyao Wang, Max Zheng, Hulk Wong, Jay Zou:
AIM 2020 Challenge on Rendering Realistic Bokeh. ECCV Workshops (3) 2020: 213-228 - [c123]Xiangyu He, Zitao Mo, Ke Cheng, Weixiang Xu, Qinghao Hu, Peisong Wang, Qingshan Liu, Jian Cheng:
ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices. ECCV (3) 2020: 223-241 - [c122]Ming Qian, Congyu Qiao, Jiamin Lin, Zhenyu Guo, Chenghua Li, Cong Leng, Jian Cheng:
BGGAN: Bokeh-Glass Generative Adversarial Network for Rendering Realistic Bokeh. ECCV Workshops (3) 2020: 229-244 - [c121]Guan'an Wang, Shaogang Gong, Jian Cheng, Zengguang Hou:
Faster Person Re-identification. ECCV (8) 2020: 275-292 - [c120]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, Sourya Dipta Das, Nisarg A. Shah, Akashdeep Jassal, Tongtong Zhao, Shanshan Zhao, Sabari Nathan, M. Parisa Beham, R. Suganya, Qing Wang, Zhongyun Hu, Xin Huang, Yaning Li, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Densen Puthussery, Hrishikesh P. S, Melvin Kuriakose, C. V. Jiji, Yu Zhu, Liping Dong, Zhuolong Jiang, Chenghua Li, Cong Leng, Jian Cheng:
AIM 2020: Scene Relighting and Illumination Estimation Challenge. ECCV Workshops (3) 2020: 499-518 - [c119]Ke Cheng, Yifan Zhang, Congqi Cao, Lei Shi, Jian Cheng, Hanqing Lu:
Decoupling GCN with DropGraph Module for Skeleton-Based Action Recognition. ECCV (24) 2020: 536-553 - [c118]Liping Dong, Yu Zhu, Zhuolong Jiang, Xiangyu He, Zhaohui Meng, Chenghua Li, Cong Leng, Jian Cheng:
An Ensemble Neural Network for Scene Relighting with Light Classification. ECCV Workshops (3) 2020: 581-595 - [c117]Lei Shi, Yifan Zhang, Wanguo Wang, Jian Cheng, Hanqing Lu:
Rethinking The Pid Optimizer For Stochastic Optimization Of Deep Networks. ICME 2020: 1-6 - [c116]Peisong Wang, Qiang Chen, Xiangyu He, Jian Cheng:
Towards Accurate Post-training Network Quantization via Bit-Split and Stitching. ICML 2020: 9847-9856 - [c115]Linhui Sun, Yifan Zhang, Jian Cheng, Hanqing Lu:
PEAN: 3D Hand Pose Estimation Adversarial Network. ICPR 2020: 1251-1258 - [c114]Ke Cheng, Yifan Zhang, Chenghua Li, Jian Cheng, Hanqing Lu:
Motion Complementary Network for Efficient Action Recognition. ICPR 2020: 1543-1549 - [c113]Weixiang Xu, Xiangyu He, Tianli Zhao, Qinghao Hu, Peisong Wang, Jian Cheng:
Soft Threshold Ternary Networks. IJCAI 2020: 2298-2304 - [c112]Xing Lan, Qinghao Hu, Fangzhou Xiong, Cong Leng, Jian Cheng:
ATF: Towards Robust Face Alignment via Leveraging Similarity and Diversity across Different Datasets. ACM Multimedia 2020: 2140-2148 - [c111]Jiaxing Wang, Haoli Bai, Jiaxiang Wu, Xupeng Shi, Junzhou Huang, Irwin King, Michael R. Lyu, Jian Cheng:
Revisiting Parameter Sharing for Automatic Neural Channel Number Search. NeurIPS 2020 - [i27]Fuzhen Li, Zhenfeng Zhu, Xingxing Zhang, Jian Cheng, Yao Zhao:
From Anchor Generation to Distribution Alignment: Learning a Discriminative Embedding Space for Zero-Shot Recognition. CoRR abs/2002.03554 (2020) - [i26]Guan'an Wang, Tianzhu Zhang, Yang Yang, Jian Cheng, Jianlong Chang, Xu Liang, Zengguang Hou:
Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification. CoRR abs/2002.04114 (2020) - [i25]Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu:
SC4D: A Sparse 4D Convolutional Network for Skeleton-Based Action Recognition. CoRR abs/2004.03259 (2020) - [i24]Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu:
Decoupled Spatial-Temporal Attention Network for Skeleton-Based Action Recognition. CoRR abs/2007.03263 (2020) - [i23]Guan'an Wang, Shaogang Gong, Jian Cheng, Zengguang Hou:
Faster Person Re-Identification. CoRR abs/2008.06826 (2020) - [i22]Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Liang Chen, Xiaotong Luo, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Éric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, C. Victor Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni:
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. CoRR abs/2009.06943 (2020) - [i21]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, Sourya Dipta Das, Nisarg A. Shah, Akashdeep Jassal, Tongtong Zhao, Shanshan Zhao, Sabari Nathan, M. Parisa Beham, R. Suganya, Qing Wang, Zhongyun Hu, Xin Huang, Yaning Li, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Densen Puthussery, Hrishikesh P. S, Melvin Kuriakose, C. Victor Jiji, Yu Zhu, Liping Dong, Zhuolong Jiang, Chenghua Li, Cong Leng, Jian Cheng:
AIM 2020: Scene Relighting and Illumination Estimation Challenge. CoRR abs/2009.12798 (2020) - [i20]Zhizhe Liu, Xingxing Zhang, Zhenfeng Zhu, Shuai Zheng, Yao Zhao, Jian Cheng:
Taking Modality-free Human Identification as Zero-shot Learning. CoRR abs/2010.00975 (2020) - [i19]Ming Qian, Congyu Qiao, Jiamin Lin, Zhenyu Guo, Chenghua Li, Cong Leng, Jian Cheng:
BGGAN: Bokeh-Glass Generative Adversarial Network for Rendering Realistic Bokeh. CoRR abs/2011.02242 (2020) - [i18]Andrey Ignatov, Radu Timofte, Ming Qian, Congyu Qiao, Jiamin Lin, Zhenyu Guo, Chenghua Li, Cong Leng, Jian Cheng, Juewen Peng, Xianrui Luo, Ke Xian, Zijin Wu, Zhiguo Cao, Densen Puthussery, C. Victor Jiji, Hrishikesh P. S, Melvin Kuriakose, Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Saagara M. B, Minnu A. L, Sanjana A. R, Praseeda S, Ge Wu, Xueqin Chen, Tengyao Wang, Max Zheng, Hulk Wong, Jay Zou:
AIM 2020 Challenge on Rendering Realistic Bokeh. CoRR abs/2011.04988 (2020)
2010 – 2019
- 2019
- [j54]Fuzhen Li, Zhenfeng Zhu, Xingxing Zhang, Jian Cheng, Yao Zhao:
Diffusion induced graph representation learning. Neurocomputing 360: 220-229 (2019) - [j53]Yanshu Jiang, Tianli Zhao, Xiangyu He, Cong Leng, Jian Cheng:
BitStream: An efficient framework for inference of binary neural networks on CPUs. Pattern Recognit. Lett. 125: 303-309 (2019) - [j52]Shuai Zheng, Zhenfeng Zhu, Jian Cheng, Yandong Guo, Yao Zhao:
Edge Heuristic GAN for Non-Uniform Blind Deblurring. IEEE Signal Process. Lett. 26(10): 1546-1550 (2019) - [j51]Chunjie Zhang, Jian Cheng, Qi Tian:
Multiview, Few-Labeled Object Categorization by Predicting Labels With View Consistency. IEEE Trans. Cybern. 49(11): 3834-3843 (2019) - [j50]Chunjie Zhang, Jian Cheng, Qi Tian:
Unsupervised and Semi-Supervised Image Classification With Weak Semantic Consistency. IEEE Trans. Multim. 21(10): 2482-2491 (2019) - [j49]Chunjie Zhang, Jian Cheng, Qi Tian:
Semantically Modeling of Object and Context for Categorization. IEEE Trans. Neural Networks Learn. Syst. 30(4): 1013-1024 (2019) - [c110]Xiangyu He, Zitao Mo, Peisong Wang, Yang Liu, Mingyuan Yang, Jian Cheng:
ODE-Inspired Network Design for Single Image Super-Resolution. CVPR 2019: 1732-1741 - [c109]Xiangyu He, Peisong Wang, Jian Cheng:
K-Nearest Neighbors Hashing. CVPR 2019: 2839-2848 - [c108]Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu:
Skeleton-Based Action Recognition With Directed Graph Neural Networks. CVPR 2019: 7912-7921 - [c107]Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu:
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition. CVPR 2019: 12026-12035 - [c106]Guan'an Wang, Tianzhu Zhang, Jian Cheng, Si Liu, Yang Yang, Zengguang Hou:
RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment. ICCV 2019: 3622-3631 - [c105]Fanrong Li, Yang Zhang, Jian Cheng, Zitao Mo, Peisong Wang, Zejian Liu, Jiayun Zhang, Gang Li, Qinghao Hu, Xiangyu He, Cong Leng:
A System-Level Solution for Low-Power Object Detection. ICCV Workshops 2019: 2461-2468 - [c104]Yiyang Cai, Chenghua Li, Sujuan Wang, Jian Cheng:
DeLTR: A Deep Learning Based Approach to Traffic Light Recognition. ICIG (3) 2019: 604-615 - [c103]Lei Shi, Yifan Zhang, Jing Hu, Jian Cheng, Hanqing Lu:
Gesture Recognition Using Spatiotemporal Deformable Convolutional Representation. ICIP 2019: 1900-1904 - [c102]Guan'an Wang, Yang Yang, Jian Cheng, Jinqiao Wang, Zeng-Guang Hou:
Color-Sensitive Person Re-Identification. IJCAI 2019: 933-939 - [c101]Zhe Li, Peisong Wang, Hanqing Lu, Jian Cheng:
Reading selectively via Binary Input Gated Recurrent Unit. IJCAI 2019: 5074-5080 - [i17]Lu Bai, Luca Rossi, Lixin Cui, Jian Cheng, Edwin R. Hancock:
A Quantum-inspired Similarity Measure for the Analysis of Complete Weighted Graphs. CoRR abs/1904.13239 (2019) - [i16]Jiaxing Wang, Yin Zheng, Xiaoshuang Chen, Junzhou Huang, Jian Cheng:
Semi-supervised Learning with Contrastive Predicative Coding. CoRR abs/1905.10514 (2019) - [i15]Shuai Zheng, Zhenfeng Zhu, Jian Cheng, Yandong Guo, Yao Zhao:
Edge Heuristic GAN for Non-uniform Blind Deblurring. CoRR abs/1907.05185 (2019) - [i14]Fanrong Li, Zitao Mo, Peisong Wang, Zejian Liu, Jiayun Zhang, Gang Li, Qinghao Hu, Xiangyu He, Cong Leng, Yang Zhang, Jian Cheng:
A System-Level Solution for Low-Power Object Detection. CoRR abs/1909.10964 (2019) - [i13]Guan'an Wang, Tianzhu Zhang, Jian Cheng, Si Liu, Yang Yang, Zengguang Hou:
RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment. CoRR abs/1910.05839 (2019) - [i12]Qiang Chen, Anda Cheng, Xiangyu He, Peisong Wang, Jian Cheng:
SpatialFlow: Bridging All Tasks for Panoptic Segmentation. CoRR abs/1910.08787 (2019) - [i11]Zhizhe Liu, Xingxing Zhang, Zhenfeng Zhu, Shuai Zheng, Yao Zhao, Jian Cheng:
Convolutional Prototype Learning for Zero-Shot Recognition. CoRR abs/1910.09728 (2019) - [i10]Xiangyu He, Zitao Mo, Qiang Chen, Anda Cheng, Peisong Wang, Jian Cheng:
Location-aware Upsampling for Semantic Segmentation. CoRR abs/1911.05250 (2019) - [i9]Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu:
Action Recognition via Pose-Based Graph Convolutional Networks with Intermediate Dense Supervision. CoRR abs/1911.12509 (2019) - [i8]Shuai Zheng, Zhenfeng Zhu, Xingxing Zhang, Zhizhe Liu, Jian Cheng, Yao Zhao:
Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning. CoRR abs/1912.01899 (2019) - [i7]Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu:
Skeleton-Based Action Recognition with Multi-Stream Adaptive Graph Convolutional Networks. CoRR abs/1912.06971 (2019) - 2018
- [j48]Chenghua Li, Chunjie Zhang, Kun Ding, Gang Li, Jian Cheng, Hanqing Lu:
BundleNet: Learning with Noisy Label via Sample Correlations. IEEE Access 6: 2367-2377 (2018) - [j47]Chunjie Zhang, Jian Cheng, Qi Tian:
Image-level classification by hierarchical structure learning with visual and semantic similarities. Inf. Sci. 422: 271-281 (2018) - [j46]Chunjie Zhang, Chenghua Li, Dongyuan Lu, Jian Cheng, Qi Tian:
Birds of a feather flock together: Visual representation with scale and class consistency. Inf. Sci. 460-461: 115-127 (2018) - [j45]Jian Cheng, Peisong Wang, Gang Li, Qinghao Hu, Hanqing Lu:
Recent advances in efficient computation of deep convolutional neural networks. Frontiers Inf. Technol. Electron. Eng. 19(1): 64-77 (2018) - [j44]Chunjie Zhang, Jian Cheng, Qi Tian:
Incremental Codebook Adaptation for Visual Representation and Categorization. IEEE Trans. Cybern. 48(7): 2012-2023 (2018) - [j43]Chunjie Zhang, Jian Cheng, Qi Tian:
Multiview Label Sharing for Visual Representations and Classifications. IEEE Trans. Multim. 20(4): 903-913 (2018) - [j42]Yifan Zhang, Congqi Cao, Jian Cheng, Hanqing Lu:
EgoGesture: A New Dataset and Benchmark for Egocentric Hand Gesture Recognition. IEEE Trans. Multim. 20(5): 1038-1050 (2018) - [j41]Chunjie Zhang, Jian Cheng, Qi Tian:
Structured Weak Semantic Space Construction for Visual Categorization. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3442-3451 (2018) - [j40]Chunjie Zhang, Jian Cheng, Changsheng Li, Qi Tian:
Image-Specific Classification With Local and Global Discriminations. IEEE Trans. Neural Networks Learn. Syst. 29(9): 4479-4486 (2018) - [j39]Chunjie Zhang, Jian Cheng, Liang Li, Changsheng Li, Qi Tian:
Object Categorization Using Class-Specific Representations. IEEE Trans. Neural Networks Learn. Syst. 29(9): 4528-4534 (2018) - [j38]Jian Cheng, Jiaxiang Wu, Cong Leng, Yuhang Wang, Qinghao Hu:
Quantized CNN: A Unified Approach to Accelerate and Compress Convolutional Networks. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4730-4743 (2018) - [j37]Peisong Wang, Qinghao Hu, Zhiwei Fang, Chaoyang Zhao, Jian Cheng:
DeepSearch: A Fast Image Search Framework for Mobile Devices. ACM Trans. Multim. Comput. Commun. Appl. 14(1): 6:1-6:22 (2018) - [c100]Qinghao Hu, Peisong Wang, Jian Cheng:
From Hashing to CNNs: Training Binary Weight Networks via Hashing. AAAI 2018: 3247-3254 - [c99]Peisong Wang, Qinghao Hu, Yifan Zhang, Chunjie Zhang, Yang Liu, Jian Cheng:
Two-Step Quantization for Low-Bit Neural Networks. CVPR 2018: 4376-4384 - [c98]Gang Li, Fanrong Li, Tianli Zhao, Jian Cheng:
Block convolution: Towards memory-efficient inference of large-scale CNNs on FPGA. DATE 2018: 1163-1166 - [c97]Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Qinqin Nie, Hao Cheng, Chenfeng Liu, Xiaoyu Liu, Wenya Ma, Haotian Wu, Lianjie Wang, Arne Schumann, Chase Brown, Qian Chen, Chengzheng Li, Dongdong Li, Emmanouil Michail, Fan Zhang, Feng Ni, Feng Zhu, Guanghui Wang, Haipeng Zhang, Han Deng, Hao Liu, Haoran Wang, Heqian Qiu, Honggang Qi, Honghui Shi, Hongliang Li, Hongyu Xu, Hu Lin, Ioannis Kompatsiaris, Jian Cheng, Jianqiang Wang, Jianxiu Yang, Jingkai Zhou, Juanping Zhao, K. J. Joseph, Kaiwen Duan, Karthik Suresh, Bo Ke, Ke Wang, Konstantinos Avgerinakis, Lars Wilko Sommer, Lei Zhang, Li Yang, Lin Cheng, Lin Ma, Liyu Lu, Lu Ding, Minyu Huang, Naveen Kumar Vedurupaka, Nehal Mamgain, Nitin Bansal, Oliver Acatay, Panagiotis Giannakeris, Qian Wang, Qijie Zhao, Qingming Huang, Qiong Liu, Qishang Cheng, Qiuchen Sun, Robert Laganière, Sheng Jiang, Shengjin Wang, Shubo Wei, Siwei Wang, Stefanos Vrochidis, Sujuan Wang, Tiaojio Lee, Usman Sajid, Vineeth N. Balasubramanian, Wei Li, Wei Zhang, Weikun Wu, Wenchi Ma, Wenrui He, Wenzhe Yang, Xiaoyu Chen, Xin Sun, Xinbin Luo, Xintao Lian, Xiufang Li, Yangliu Kuai, Yali Li, Yi Luo, Yifan Zhang, Yiling Liu, Ying Li, Yong Wang, Yongtao Wang, Yuanwei Wu, Yue Fan, Yunchao Wei, Yuqin Zhang, Zexin Wang, Zhangyang Wang, Zhaoyue Xia, Zhen Cui, Zhenwei He, Zhipeng Deng, Zhiyao Guo, Zichen Song:
VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results. ECCV Workshops (5) 2018: 437-468 - [c96]Longyin Wen, Pengfei Zhu, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Chenfeng Liu, Hao Cheng, Xiaoyu Liu, Wenya Ma, Qinqin Nie, Haotian Wu, Lianjie Wang, Asanka G. Perera, Baochang Zhang, Byeongho Heo, Chunlei Liu, Dongdong Li, Emmanouil Michail, Hanlin Chen, Hao Liu, Haojie Li, Ioannis Kompatsiaris, Jian Cheng, Jiaqing Fan, Jie Zhang, Jin Young Choi, Jing Li, Jinyu Yang, Jongwon Choi, Juanping Zhao, Jungong Han, Kaihua Zhang, Kaiwen Duan, Ke Song, Konstantinos Avgerinakis, Kyuewang Lee, Lu Ding, Martin Lauer, Panagiotis Giannakeris, Peizhen Zhang, Qiang Wang, Qianqian Xu, Qingming Huang, Qingshan Liu, Robert Laganière, Ruixin Zhang, Sangdoo Yun, Shengyin Zhu, Sihang Wu, Stefanos Vrochidis, Wei Tian, Wei Zhang, Weidong Chen, Weiming Hu, Wenhao Wang, Wenhua Zhang, Wenrui Ding, Xiaohao He, Xiaotong Li, Xin Zhang, Xinbin Luo, Xixi Hu, Yang Meng, Yangliu Kuai, Yanyun Zhao, Yaxuan Li, Yifan Yang, Yifan Zhang, Yong Wang, Yuankai Qi, Zhipeng Deng, Zhiqun He:
VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results. ECCV Workshops (5) 2018: 469-495 - [c95]Guan'an Wang, Qinghao Hu, Jian Cheng, Zeng-Guang Hou:
Semi-supervised Generative Adversarial Hashing for Image Retrieval. ECCV (15) 2018: 491-507 - [c94]Qinghao Hu, Gang Li, Peisong Wang, Yifan Zhang, Jian Cheng:
Training Binary Weight Networks via Semi-Binary Decomposition. ECCV (13) 2018: 657-673 - [c93]Xiangyu He, Jian Cheng:
Learning Compression from Limited Unlabeled Data. ECCV (1) 2018: 778-795 - [c92]Tianli Zhao, Yanshu Jiang, Jiaxiang Wu, Jian Cheng:
Core-set based product quantization for large-scale multimedia search. ICIMCS 2018: 39:1-39:7 - [c91]Tianli Zhao, Xiangyu He, Jian Cheng, Jing Hu:
BitStream: Efficient Computing Architecture for Real-Time Low-Power Inference of Binary Neural Networks on CPUs. ACM Multimedia 2018: 1545-1552 - [i6]Jian Cheng, Peisong Wang, Gang Li, Qinghao Hu, Hanqing Lu:
Recent Advances in Efficient Computation of Deep Convolutional Neural Networks. CoRR abs/1802.00939 (2018) - [i5]Qinghao Hu, Peisong Wang, Jian Cheng:
From Hashing to CNNs: Training BinaryWeight Networks via Hashing. CoRR abs/1802.02733 (2018) - [i4]Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu:
Adaptive Spectral Graph Convolutional Networks for Skeleton-Based Action Recognition. CoRR abs/1805.07694 (2018) - [i3]Lu Bai, Yuhang Jiao, Luca Rossi, Lixin Cui, Jian Cheng, Edwin R. Hancock:
A Quantum Spatial Graph Convolutional Neural Network using Quantum Passing Information. CoRR abs/1809.01090 (2018) - 2017
- [c90]Qinghao Hu, Jiaxiang Wu, Lu Bai, Yifan Zhang, Jian Cheng:
Fast K-means for Large Scale Clustering. CIKM 2017: 2099-2102 - [c89]Peisong Wang, Jian Cheng:
Fixed-Point Factorized Networks. CVPR 2017: 3966-3974 - [c88]Congqi Cao, Yifan Zhang, Yi Wu, Hanqing Lu, Jian Cheng:
Egocentric Gesture Recognition Using Recurrent 3D Convolutional Neural Networks with Spatiotemporal Transformer Modules. ICCV 2017: 3783-3791 - [c87]Deqiang Kong, Jingyuan Tang, Zhenfeng Zhu, Jian Cheng, Yao Zhao:
De-biased dart ensemble model for personalized recommendation. ICME 2017: 553-558 - [c86]Changliang Li, Teng Ma, Yujun Zhou, Jian Cheng, Bo Xu:
Measuring Word Semantic Similarity Based on Transferred Vectors. ICONIP (4) 2017: 326-335 - [c85]Qinghao Hu, Jiaxiang Wu, Jian Cheng, Lifang Wu, Hanqing Lu:
Pseudo Label based Unsupervised Deep Discriminative Hashing for Image Retrieval. ACM Multimedia 2017: 1584-1590 - [p2]Jiaxiang Wu, Jian Cheng:
Bayesian Co-Boosting for Multi-modal Gesture Recognition. Gesture Recognition 2017: 417-441 - 2016
- [j36]Peisong Wang, Qiang Song, Hua Han, Jian Cheng:
Sequentially Supervised Long Short-Term Memory for Gesture Recognition. Cogn. Comput. 8(5): 982-991 (2016) - [j35]Zhenfeng Zhu, Jian Cheng, Yao Zhao, Jieping Ye:
LSSLP - Local structure sensitive label propagation. Inf. Sci. 332: 19-32 (2016) - [j34]Ting Yuan, Jian Cheng, Xi Zhang, Qinshan Liu, Hanqing Lu:
Enriching one-class collaborative filtering with content information from social media. Multim. Syst. 22(1): 51-62 (2016) - [j33]Luis Herranz, Jian Cheng, Yue Gao, Shuqiang Jiang:
Guest Editorial: Image Analysis and Processing Leveraging Additional Information. Multim. Tools Appl. 75(7): 3933-3936 (2016) - [c84]Jiaxiang Wu, Qinghao Hu, Cong Leng, Jian Cheng:
Shoot to Know What: An Application of Deep Networks on Mobile Devices. AAAI 2016: 4399-4400 - [c83]Chenghua Li, Qi Kang, Guojing Ge, Qiang Song, Hanqing Lu, Jian Cheng:
DeepBE: Learning Deep Binary Encoding for Multi-label Classification. CVPR Workshops 2016: 744-751 - [c82]Jiaxiang Wu, Cong Leng, Yuhang Wang, Qinghao Hu, Jian Cheng:
Quantized Convolutional Neural Networks for Mobile Devices. CVPR 2016: 4820-4828 - [c81]Chenghua Li, Qiang Song, Yuhang Wang, Hang Song, Qi Kang, Jian Cheng, Hanqing Lu:
Learning to recognition from Bing Clickture data. ICME Workshops 2016: 1-4 - [c80]Peisong Wang, Jian Cheng:
Accelerating Convolutional Neural Networks for Mobile Applications. ACM Multimedia 2016: 541-545 - [i2]Peisong Wang, Jian Cheng:
Fixed-point Factorized Networks. CoRR abs/1611.01972 (2016) - 2015
- [j32]Chunjie Zhang, Jian Cheng, Yifan Zhang, Jing Liu, Chao Liang, Junbiao Pang, Qingming Huang, Qi Tian:
Image classification using boosted local features with random orientation and location selection. Inf. Sci. 310: 118-129 (2015) - [j31]Xi Zhang, Jian Cheng, Shuang Qiu, Guibo Zhu, Hanqing Lu:
DualDS: A dual discriminative rating elicitation framework for cold start recommendation. Knowl. Based Syst. 73: 161-172 (2015) - [j30]Ting Yuan, Jian Cheng, Xi Zhang, Qingshan Liu, Hanqing Lu:
How friends affect user behaviors? An exploration of social relation analysis for recommendation. Knowl. Based Syst. 88: 70-84 (2015) - [j29]Cong Leng, Jian Cheng:
Consensus hashing. Mach. Learn. 100(2-3): 379-398 (2015) - [j28]Jian Cheng, Peng Li, Ting Rui, Hanqing Lu:
Learning latent semantic model with visual consistency for image analysis. Multim. Tools Appl. 74(4): 1341-1356 (2015) - [j27]Chunjie Zhang, Jian Cheng, Jing Liu, Junbiao Pang, Qingming Huang, Qi Tian:
Beyond Explicit Codebook Generation: Visual Representation Using Implicitly Transferred Codebooks. IEEE Trans. Image Process. 24(12): 5777-5788 (2015) - [c79]Qiang Song, Jian Cheng, Ting Yuan, Hanqing Lu:
Personalized Recommendation Meets Your Next Favorite. CIKM 2015: 1775-1778 - [c78]Cong Leng, Jiaxiang Wu, Jian Cheng, Xiao Bai, Hanqing Lu:
Online sketching hashing. CVPR 2015: 2503-2511 - [c77]Wei Fu, Chaoyang Zhao, Jinqiao Wang, Jing Liu, Jian Cheng, Hanqing Lu:
Concurrent group activity classification with context modeling. ICIMCS 2015: 9:1-9:4 - [c76]Cong Leng, Jiaxiang Wu, Jian Cheng, Xi Zhang, Hanqing Lu:
Hashing for Distributed Data. ICML 2015: 1642-1650 - [c75]Qiang Song, Sixie Yu, Cong Leng, Jiaxiang Wu, Qinghao Hu, Jian Cheng:
Learning Deep Features For MSR-bing Information Retrieval Challenge. ACM Multimedia 2015: 169-172 - [c74]Qiang Song, Jian Cheng, Hanqing Lu:
Incremental Matrix Factorization via Feature Space Re-learning for Recommender System. RecSys 2015: 277-280 - [c73]Xi Zhang, Jian Cheng, Shuang Qiu, Zhenfeng Zhu, Hanqing Lu:
When Personalization Meets Conformity: Collective Similarity based Multi-Domain Recommendation. SIGIR 2015: 1019-1022 - [c72]Shuang Qiu, Jian Cheng, Xi Zhang, Hanqing Lu:
Exploring Heterogeneity for Multi-Domain Recommendation with Decisive Factors Selection. WWW (Companion Volume) 2015: 95-96 - [e2]Cheng-Lin Liu, Bin Luo, Walter G. Kropatsch, Jian Cheng:
Graph-Based Representations in Pattern Recognition - 10th IAPR-TC-15 International Workshop, GbRPR 2015, Beijing, China, May 13-15, 2015. Proceedings. Lecture Notes in Computer Science 9069, Springer 2015, ISBN 978-3-319-18223-0 [contents] - [i1]Jiaxiang Wu, Cong Leng, Yuhang Wang, Qinghao Hu, Jian Cheng:
Quantized Convolutional Neural Networks for Mobile Devices. CoRR abs/1512.06473 (2015) - 2014
- [j26]Jian Cheng, Cong Leng, Peng Li, Meng Wang, Hanqing Lu:
Semi-supervised multi-graph hashing for scalable similarity search. Comput. Vis. Image Underst. 124: 12-21 (2014) - [j25]Li Wang, Rui-Feng Li, Ke Wang, Jian Cheng:
Feature Representation for Facial Expression Recognition Based on FACS and LBP. Int. J. Autom. Comput. 11(5): 459-468 (2014) - [j24]Biao Niu, Jian Cheng, Yang Liu, Hanqing Lu:
Beyond semantic attributes: Auxiliary feature discovery for image classification. Neurocomputing 142: 155-164 (2014) - [j23]Chunjie Zhang, Jian Cheng, Jing Liu, Junbiao Pang, Chao Liang, Qingming Huang, Qi Tian:
Object categorization in sub-semantic space. Neurocomputing 142: 248-255 (2014) - [j22]Jiaxiang Wu, Jian Cheng:
Bayesian co-boosting for multi-modal gesture recognition. J. Mach. Learn. Res. 15(1): 3013-3036 (2014) - [j21]Xiao Bai, Haichuan Yang, Jun Zhou, Peng Ren, Jian Cheng:
Data-Dependent Hashing Based on p-Stable Distribution. IEEE Trans. Image Process. 23(12): 5033-5046 (2014) - [c71]Ting Yuan, Jian Cheng, Xi Zhang, Shuang Qiu, Hanqing Lu:
Recommendation by Mining Multiple User Behaviors with Group Sparsity. AAAI 2014: 222-228 - [c70]Cong Leng, Jian Cheng, Jiaxiang Wu, Xi Zhang, Hanqing Lu:
Supervised Hashing with Soft Constraints. CIKM 2014: 1851-1854 - [c69]Jian Cheng, Cong Leng, Jiaxiang Wu, Hainan Cui, Hanqing Lu:
Fast and Accurate Image Matching with Cascade Hashing for 3D Reconstruction. CVPR 2014: 1-8 - [c68]Haichuan Yang, Xiao Bai, Jun Zhou, Peng Ren, Zhihong Zhang, Jian Cheng:
Adaptive Object Retrieval with Kernel Reconstructive Hashing. CVPR 2014: 1955-1962 - [c67]Haichuan Yang, Xiao Bai, Jun Zhou, Peng Ren, Jian Cheng, Lu Bai:
Semi-randomized hashing for large scale data retrieval. DSAA 2014: 53-58 - [c66]Xi Zhang, Jian Cheng, Hanqing Lu:
Less is More: Sparse Representative based Preference Elicitation for Cold Start Recommendation. ICIMCS 2014: 117 - [c65]Shuang Qiu, Jian Cheng, Xi Zhang, Biao Niu, Hanqing Lu:
Community discovering guided cold-start recommendation: A discriminative approach. ICME 2014: 1-6 - [c64]Cong Leng, Jian Cheng, Ting Yuan, Xiao Bai, Hanqing Lu:
Learning Binary Codes with Bagging PCA. ECML/PKDD (2) 2014: 177-192 - [c63]Jian Cheng, Ting Yuan, Jinqiao Wang, Hanqing Lu:
Group latent factor model for recommendation with multiple user behaviors. SIGIR 2014: 995-998 - [c62]Cong Leng, Jian Cheng, Hanqing Lu:
Random subspace for binary codes learning in large scale image retrieval. SIGIR 2014: 1031-1034 - [c61]Shuang Qiu, Jian Cheng, Ting Yuan, Cong Leng, Hanqing Lu:
Item group based pairwise preference learning for personalized ranking. SIGIR 2014: 1219-1222 - 2013
- [j20]Peng Li, Jian Cheng, Hanqing Lu:
Hashing with dual complementary projection learning for fast image retrieval. Neurocomputing 120: 83-89 (2013) - [j19]Huigang Zhang, Xiao Bai, Huaxin Zheng, Huijie Zhao, Jun Zhou, Jian Cheng, Hanqing Lu:
Hierarchical Remote Sensing Image Analysis via Graph Laplacian Energy. IEEE Geosci. Remote. Sens. Lett. 10(2): 396-400 (2013) - [j18]Biao Niu, Jian Cheng, Xiao Bai, Hanqing Lu:
Asymmetric propagation based batch mode active learning for image retrieval. Signal Process. 93(6): 1639-1650 (2013) - [j17]Peng Li, Jian Cheng, Hanqing Lu:
Dual local consistency hashing with discriminative projections selection. Signal Process. 93(8): 2256-2264 (2013) - [j16]Huigang Zhang, Xiao Bai, Jun Zhou, Jian Cheng, Huijie Zhao:
Object Detection Via Structural Feature Selection and Shape Model. IEEE Trans. Image Process. 22(12): 4984-4995 (2013) - [j15]Peng Li, Meng Wang, Jian Cheng, Changsheng Xu, Hanqing Lu:
Spectral Hashing With Semantically Consistent Graph for Image Indexing. IEEE Trans. Multim. 15(1): 141-152 (2013) - [j14]Chao Liang, Changsheng Xu, Jian Cheng, Weiqing Min, Hanqing Lu:
Script-to-Movie: A Computational Framework for Story Movie Composition. IEEE Trans. Multim. 15(2): 401-414 (2013) - [c60]Xi Zhang, Jian Cheng, Ting Yuan, Biao Niu, Hanqing Lu:
Semi-supervised discriminative preference elicitation for cold-start recommendation. CIKM 2013: 1813-1816 - [c59]Xiang Zhang, Jian Cheng, Zhi Liu, Jie Yang:
Cost-sensitive background subtraction. ICIP 2013: 3336-3339 - [c58]Biao Niu, Bin Li, Peng Li, Xi Zhang, Jian Cheng, Hanqing Lu:
Attribute expansion with sequential learning for object classification. ICME Workshops 2013: 1-4 - [c57]Biao Niu, Yifan Zhang, Jinqiao Wang, Jian Cheng, Hanqing Lu:
Subspace learning based active learning for image retrieval. ICME Workshops 2013: 1-4 - [c56]Jiaxiang Wu, Jian Cheng, Chaoyang Zhao, Hanqing Lu:
Fusing multi-modal features for gesture recognition. ICMI 2013: 453-460 - [c55]Ting Yuan, Jian Cheng, Xi Zhang, Qingshan Liu, Hanqing Lu:
A Weighted One Class Collaborative Filtering with Content Topic Features. MMM (2) 2013: 417-427 - [c54]Xi Zhang, Jian Cheng, Ting Yuan, Biao Niu, Hanqing Lu:
TopRec: domain-specific recommendation through community topic mining in social network. WWW 2013: 1501-1510 - 2012
- [j13]Xiaofeng Zhu, Zi Huang, Heng Tao Shen, Jian Cheng, Changsheng Xu:
Dimensionality reduction by Mixed Kernel Canonical Correlation Analysis. Pattern Recognit. 45(8): 3003-3016 (2012) - [j12]Yi Wu, Jian Cheng, Jinqiao Wang, Hanqing Lu, Jun Wang, Haibin Ling, Erik Blasch, Li Bai:
Real-Time Probabilistic Covariance Tracking With Efficient Model Update. IEEE Trans. Image Process. 21(5): 2824-2837 (2012) - [c53]Peng Li, Jian Cheng, Hanqing Lu:
Modeling Hidden Topics with Dual Local Consistency for Image Analysis. ACCV (1) 2012: 648-659 - [c52]Biao Niu, Jian Cheng, Hanqing Lu:
Improving Relevance Feedback for Image Retrieval with Asymmetric Sampling. ICME 2012: 955-960 - [c51]Huigang Zhang, Junxiu Wang, Xiao Bai, Jun Zhou, Jian Cheng, Huijie Zhao:
Object detection via foreground contour feature selection and part-based shape model. ICPR 2012: 2524-2527 - [c50]Huigang Zhang, Xiao Bai, Jian Cheng, Jun Zhou, Huijie Zhao:
An Incremental Structured Part Model for Image Classification. SSPR/SPR 2012: 483-491 - 2011
- [j11]Haoting Liu, Jie Li, Zheng Wang, Jian Cheng, Hanqing Lu, Yan Zhao:
Image Quality Feedback-Based Adaptive Video Definition Improvement for the Space Manipulation Task. Int. J. Image Graph. 11(2): 153-175 (2011) - [j10]Jian Cheng, Jinjun Wang, Shuqiang Jiang, Zhi-Hua Zhou, Edwin R. Hancock:
Special edition on semi-supervised learning for visual content analysis and understanding. Pattern Recognit. 44(10-11): 2242-2243 (2011) - [c49]Chao Liang, Changsheng Xu, Jian Cheng, Hanqing Lu:
TVParser: An automatic TV video parsing method. CVPR 2011: 3377-3384 - [c48]Jian Cheng, Biao Niu, Yikai Fang, Hanqing Lu:
Representative sampling with certainty propagation for image retrieval. ICIP 2011: 2493-2496 - [c47]Jian Cheng, Yu Fu, Hanqing Lu:
Learning to detect salient region of image under weak supervision. ICME 2011: 1-6 - [c46]Jitao Sang, Chao Liang, Changsheng Xu, Jian Cheng:
Robust movie character identification and the sensitivity analysis. ICME 2011: 1-6 - [c45]Peng Li, Jian Cheng, Zechao Li, Hanqing Lu:
Correlated PLSA for Image Clustering. MMM (1) 2011: 307-316 - 2010
- [j9]Yang Liu, Jian Cheng, Changsheng Xu, Hanqing Lu:
Building topographic subspace model with transfer learning for sparse representation. Neurocomputing 73(10-12): 1662-1668 (2010) - [c44]Lili Ma, Jing Liu, Jinqiao Wang, Jian Cheng, Hanqing Lu:
A improved silhouette tracking approach integrating particle filter with graph cuts. ICASSP 2010: 1142-1145 - [c43]Keming Chen, Zhenglong Li, Jian Cheng, Zhixin Zhou, Hanqing Lu:
A co-Gaussian Process based framework for remote sensing image change detection. ICASSP 2010: 2142-2145 - [c42]Chao Liang, Yu Jiang, Jian Cheng, Changsheng Xu, Xiaowei Luo, Jinqiao Wang, Yu Fu, Hanqing Lu, Jian Ma:
Personalized Sports Video Customization for Mobile Devices. MMM 2010: 614-625 - [c41]Haoting Liu, Jian Cheng, Hanqing Lu:
Abnormal Change Detection of Image Quality Metric Series Using Diffusion Process and Stopping Time Theory. PCM (1) 2010: 272-283 - [c40]Lili Ma, Jian Cheng, Jing Liu, Jinqiao Wang, Hanqing Lu:
Visual Attention Model Based Object Tracking. PCM (2) 2010: 483-493 - [e1]Yong Rui, Klara Nahrstedt, Xiaofei Xu, Hongxun Yao, Shuqiang Jiang, Jian Cheng:
The Second International Conference on Internet Multimedia Computing and Service, ICIMCS '10, Harbin, China, December 30-31, 2010. ACM 2010, ISBN 978-1-4503-0460-3 [contents]
2000 – 2009
- 2009
- [j8]Changsheng Xu, Jian Cheng, Yi Zhang, Yifan Zhang, Hanqing Lu:
Sports Video Analysis: Semantics Extraction, Editorial Content Creation and Adaptation. J. Multim. 4(2): 69-79 (2009) - [j7]Xiaoyu Zhang, Changsheng Xu, Jian Cheng, Hanqing Lu, Songde Ma:
Effective Annotation and Search for Video Blogs with Integration of Context and Content Analysis. IEEE Trans. Multim. 11(2): 272-285 (2009) - [c39]Rong Liu, Jian Cheng, Hanqing Lu:
A robust boosting tracker with minimum error bound in a co-training framework. ICCV 2009: 1459-1466 - [c38]Yi Wu, Jian Cheng, Jinqiao Wang, Hanqing Lu:
Real-time visual tracking via Incremental Covariance Tensor Learning. ICCV 2009: 1631-1638 - [c37]Xiaoyu Zhang, Jian Cheng, Changsheng Xu, Hanqing Lu, Songde Ma:
Multi-view multi-label active learning for image classification. ICME 2009: 258-261 - [c36]Yifan Zhang, Changsheng Xu, Jian Cheng, Hanqing Lu:
Naming faces in films using hypergraph matching. ICME 2009: 278-281 - [c35]Jie Yang, Jian Cheng, Hanqing Lu:
Human activity recognition based on the blob features. ICME 2009: 358-361 - [c34]Cunxun Zang, Yu Fu, Jian Cheng, Hanqing Lu, Jian Ma:
Human-centered picture slideshow personalization for mobile devices. ICME 2009: 1398-1401 - [c33]Keming Chen, Zhenglong Li, Jian Cheng, Zhixin Zhou, Hanqing Lu:
A Variational Co-training Framework for Remote Sensing Image Segmentation. IGARSS (4) 2009: 113-116 - [c32]Keming Chen, Zhenglong Li, Jian Cheng, Zhixin Zhou, Hanqing Lu:
A Variational Bayesian Approach to Remote Sensing Image Change Detection. IGARSS (3) 2009: 204-207 - [c31]Keming Chen, Chunlei Huo, Zhixin Zhou, Hanqing Lu, Jian Cheng:
Semi-supervised Change Detection via Gaussian Processes. IGARSS (2) 2009: 996-999 - [c30]Chao Liang, Yifan Zhang, Jian Cheng, Changsheng Xu, Hanqing Lu:
A Novel Role-Based Movie Scene Segmentation Method. PCM 2009: 917-922 - [p1]Jian Cheng, Kongqiao Wang, Hanqing Lu:
Active Learning for Relevance Feedback in Image Retrieval. Semantic Mining Technologies for Multimedia Databases 2009: 152-165 - 2008
- [c29]Xiaoyu Zhang, Changsheng Xu, Jian Cheng, Hanqing Lu, Songde Ma:
Automatic semantic annotation for video blogs. ICME 2008: 121-124 - [c28]Cunxun Zang, Qingshan Liu, Jian Cheng, Hanqing Lu:
Human-centered image navigation on mobile devices. ICME 2008: 321-324 - [c27]Haoyang Ding, Jian Cheng, Hanqing Lu, Zhixin Zhou:
Synchronization analysis for synchronized diving videos. ICME 2008: 897-900 - [c26]Yi Ouyang, Ming Tang, Jian Cheng, Jinqiao Wang, Hanqing Lu, Songde Ma:
A novel contextual descriptors for category recognition. ICME 2008: 1349-1352 - [c25]Keming Chen, Chunlei Huo, Jian Cheng, Zhixin Zhou, Hanqing Lu:
Change detection based on adaptive Markov Random Fields. ICPR 2008: 1-4 - [c24]Yikai Fang, Jian Cheng, Jinqiao Wang, Kongqiao Wang, Jing Liu, Hanqing Lu:
Hand posture recognition with co-training. ICPR 2008: 1-4 - [c23]Yu Fu, Jian Cheng, Zhenglong Li, Hanqing Lu:
Saliency Cuts: An automatic approach to object segmentation. ICPR 2008: 1-4 - [c22]Zhenglong Li, Qingshan Liu, Jian Cheng, Hanqing Lu:
A variational inference based approach for image segmentation. ICPR 2008: 1-4 - [c21]Lili Ma, Jian Cheng, Hanqing Lu:
Multi-cue collaborative kernel tracking with cross ratio invariant constraint. ICPR 2008: 1-4 - [c20]Chunlei Huo, Keming Chen, Zhixin Zhou, Hanqing Lu, Jian Cheng, Qingshan Liu:
A Multilevel Contextual Approach to Change Detection for very high Resolution Images. IGARSS (4) 2008: 185-188 - [c19]Chunlei Huo, Zhixin Zhou, Qingshan Liu, Jian Cheng, Hanqing Lu, Keming Chen:
Urban Change Detection based on Local Features and Multiscale Fusion. IGARSS (3) 2008: 1236-1239 - [c18]Xiaoyu Zhang, Jian Cheng, Hanqing Lu, Songde Ma:
Selective Sampling Based on Dynamic Certainty Propagation for Image Retrieval. MMM 2008: 425-435 - 2007
- [j6]Jian Cheng, Kongqiao Wang:
Active learning for image retrieval with Co-SVM. Pattern Recognit. 40(1): 330-334 (2007) - [c17]Zhenglong Li, Jian Cheng, Qingshan Liu, Hanqing Lu:
Image Segmentation Using Co-EM Strategy. ACCV (2) 2007: 827-836 - [c16]Yi Wu, Rui Ma, Wei Hu, Tao Wang, Yimin Zhang, Jian Cheng, Hanqing Lu:
Robust lip Localization on Multi-View Faces in Video. ICIP (4) 2007: 481-484 - [c15]Xiaoyu Zhang, Jian Cheng, Hanqing Lu, Songde Ma:
Weighted Co-SVM for Image Retrieval with MVB Strategy. ICIP (4) 2007: 517-520 - [c14]Yikai Fang, Kongqiao Wang, Jian Cheng, Hanqing Lu:
A Real-Time Hand Gesture Recognition Method. ICME 2007: 995-998 - [c13]Yi Wu, Wei Hu, Tao Wang, Yimin Zhang, Jian Cheng, Hanqing Lu:
Robust Speaking Face Identification for Video Analysis. PCM 2007: 665-674 - 2006
- [j5]Jian Cheng, Jie Yang, Yue Zhou, Yingying Cui:
Flexible background mixture models for foreground segmentation. Image Vis. Comput. 24(5): 473-482 (2006) - [j4]Jian Cheng, Qingshan Liu, Hanqing Lu, Yen-Wei Chen:
Ensemble learning for independent component analysis. Pattern Recognit. 39(1): 81-88 (2006) - [c12]Jian Cheng, Kongqiao Wang:
Multi-View Sampling for Relevance Feedback in Image Retrieval. ICPR (2) 2006: 881-884 - 2005
- [j3]Jian Cheng, Qingshan Liu, Hanqing Lu, Yen-Wei Chen:
Supervised kernel locality preserving projections for face recognition. Neurocomputing 67: 443-449 (2005) - [c11]Jian Cheng, Jie Yang, Yue Zhou:
A Novel Adaptive Gaussian Mixture Model for Background Subtraction. IbPRIA (1) 2005: 587-593 - [c10]Jian Cheng, Kongqiao Wang, Yen-Wei Chen:
A Cascaded Ensemble Learning for Independent Component Analysis. ISNN (1) 2005: 949-954 - 2004
- [j2]Jian Cheng, Yen-Wei Chen, Hanqing Lu, Xiang-Yan Zeng:
A Spatial Weighted Color Histogram for Image Retrieval. IEICE Trans. Inf. Syst. 87-D(1): 246-249 (2004) - [j1]Xiang-Yan Zeng, Yen-Wei Chen, Zensho Nakao, Jian Cheng, Hanqing Lu:
Independent Component Analysis for Color Indexing. IEICE Trans. Inf. Syst. 87-D(4): 997-1003 (2004) - [c9]Jian Cheng, Jie Yang:
Real-Time Infrared Object Tracking Based on Mean Shift. CIARP 2004: 45-52 - [c8]Qingshan Liu, Jian Cheng, Hanqing Lu, Songde Ma:
Modeling Face Appearance With Nonlinear Independent Component Analysis. FGR 2004: 761-766 - [c7]Jian Cheng, Qingshan Liu, Hanqing Lu, Yen-Wei Chen:
A supervised nonlinear local embedding for face recognition. ICIP 2004: 83-86 - [c6]Jian Cheng, Qingshan Liu, Hanqing Lu, Yen-Wei Chen:
Texture Classification Using Kernel Independent Component Analysi. ICPR (1) 2004: 620-623 - [c5]Qingshan Liu, Jian Cheng, Hanqing Lu, Songde Ma:
Distance Based Kernel PCA Image Reconstruction. ICPR (3) 2004: 670-673 - [c4]Qingshan Liu, Jian Cheng, Hanqing Lu, Songde Ma:
Improving ICA Performance for Modeling Image Appearance with the Kernel Trick. KES 2004: 344-351 - [c3]Jian Cheng, Qingshan Liu, Hanqing Lu, Yen-Wei Chen:
Random Independent Subspace for Face Recognition. KES 2004: 352-358 - 2003
- [c2]Xiang-Yan Zeng, Yen-Wei Chen, Zensho Nakao, Jian Cheng, Hanqing Lu:
Image Retrieval Based on Independent Components of Color Histograms. KES 2003: 1435-1442 - [c1]Jian Cheng, Hanqing Lu, Yen-Wei Chen, Xiang-Yan Zeng:
Face Recognition Using Overcomplete Independent Component Analysis. KES 2003: 1443-1448
Coauthor Index
[j75] [c155] [j68] [c137] [i36] [j61] [j55] [c131] [c129] [c119] [c117] [c115] [c114] [i25] [i24] [c108] [c107] [c103] [c101] [i9] [i7] [j48] [j45] [j42] [i6] [i4] [c88] [c85] [j34] [c83] [c81] [j31] [j30] [j28] [c79] [c78] [c77] [c76] [c74] [c73] [c72] [j26] [j24] [c71] [c70] [c69] [c66] [c65] [c64] [c63] [c62] [c61] [j20] [j19] [j18] [j17] [j15] [j14] [c60] [c58] [c57] [c56] [c55] [c54] [j12] [c53] [c52] [j11] [c49] [c48] [c47] [c45] [j9] [c44] [c43] [c42] [c41] [c40] [j8] [j7] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [p1] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [j4] [j3] [j2] [j1] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
[j89] [c180] [c175] [i64] [i59] [j85] [j84] [j81] [j76] [c165] [c163] [c162] [c159] [c158] [c153] [c152] [i52] [i50] [i49] [i42] [j70] [j67] [c142] [c138] [c135] [i39] [i32] [i31] [i29] [j62] [c132] [c130] [c127] [c123] [c116] [c113] [c110] [c109] [c105] [c101] [i14] [i12] [i10] [j45] [j37] [c100] [c99] [c94] [i6] [i5] [c89] [j36] [c80] [i2]
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