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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://dblp1.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) - [c179]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 - [c178]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 - [c177]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 - [c176]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 - [c175]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 - [c174]Hang Xu, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng:
Dynamic Discounted Counterfactual Regret Minimization. ICLR 2024 - [c173]Zhengyang Zhuge, Peisong Wang, Xingting Yao, Jian Cheng:
Towards Efficient Spiking Transformer: a Token Sparsification Framework for Training and Inference Acceleration. ICML 2024 - [c172]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 - [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 - [i67]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) - [i66]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) - [i65]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) - [i64]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) - [i63]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) - [i62]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) - [i61]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) - [i60]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) - [i59]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) - 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]