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2020 – today
- 2023
[j36]Yuchen Guo, Qiguang Chen
, Gary P. T. Choi, Lok Ming Lui:
Automatic landmark detection and registration of brain cortical surfaces via quasi-conformal geometry and convolutional neural networks. Comput. Biol. Medicine 163: 107185 (2023)- [j35]Fan Yang, Xinhao Xu, Hui Chen, Yuchen Guo, Yuwei He, Kai Ni, Guiguang Ding:
GPro3D: Deriving 3D BBox from ground plane in monocular 3D object detection. Neurocomputing 562: 126894 (2023) - [j34]Jiahao Lee, Zihao Huang, Lirong Lin, Yuchen Guo, Raymond S. T. Lee:
Chaotic Bi-LSTM and attention HLCO predictor-based quantum price level fuzzy logic trading system. Soft Comput. 27(18): 13405-13419 (2023) - [j33]Yuang Du, Lan Du, Yuchen Guo, Yu Shi:
Semisupervised SAR Ship Detection Network via Scene Characteristic Learning. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023) - [j32]Kaiming Dong, Yuchen Guo, Runzhao Yang, Yuxiao Cheng, Jinli Suo, Qionghai Dai:
Retrieving Object Motions From Coded Shutter Snapshot in Dark Environment. IEEE Trans. Image Process. 32: 3281-3294 (2023) - [c58]Jie Gao, Yuchen Guo, Toby Jia-Jun Li, Simon Tangi Perrault:
CollabCoder: A GPT-Powered WorkFlow for Collaborative Qualitative Analysis. CSCW Companion 2023: 354-357 - [c57]Baowei Jiang, Bing Bai, Haozhe Lin, Yu Wang, Yuchen Guo, Lu Fang:
DartBlur: Privacy Preservation with Detection Artifact Suppression. CVPR 2023: 16479-16488 - [c56]Mengyao Lyu, Jundong Zhou, Hui Chen, Yijie Huang, Dongdong Yu, Yaqian Li, Yandong Guo, Yuchen Guo, Liuyu Xiang, Guiguang Ding:
Box-Level Active Detection. CVPR 2023: 23766-23775 - [c55]Tianxiang Hao, Hui Chen, Yuchen Guo, Guiguang Ding:
Consolidator: Mergable Adapter with Group Connections for Visual Adaptation. ICLR 2023 - [c54]Menghan Wang, Jinming Yang, Yuchen Guo, Yuming Shen, Mengying Zhu, Yanlin Wang:
Modeling Orders of User Behaviors via Differentiable Sorting: A Multi-task Framework to Predicting User Post-click Conversion. SIGIR 2023: 2184-2188 - [i27]Bo Zhang, Yuchen Guo, Runzhao Yang, Zhihong Zhang, Jiayi Xie, Jinli Suo, Qionghai Dai:
DarkVision: A Benchmark for Low-light Image/Video Perception. CoRR abs/2301.06269 (2023) - [i26]Leqi Shen, Tao He, Yuchen Guo, Guiguang Ding:
X-ReID: Cross-Instance Transformer for Identity-Level Person Re-Identification. CoRR abs/2302.02075 (2023) - [i25]Mengyao Lyu, Jundong Zhou, Hui Chen, Yijie Huang, Dongdong Yu, Yaqian Li, Yandong Guo, Yuchen Guo, Liuyu Xiang, Guiguang Ding:
Box-Level Active Detection. CoRR abs/2303.13089 (2023) - [i24]Jie Gao, Yuchen Guo, Gionnieve Lim, Tianqin Zhang, Zheng Zhang, Toby Jia-Jun Li, Simon Tangi Perrault:
CollabCoder: A GPT-Powered Workflow for Collaborative Qualitative Analysis. CoRR abs/2304.07366 (2023) - [i23]Meidai Xuanyuan, Yuwang Wang, Honglei Guo, Xiao Ma, Yuchen Guo, Tao Yu, Qionghai Dai:
Hi Sheldon! Creating Deep Personalized Characters from TV Shows. CoRR abs/2304.11093 (2023) - [i22]Tianxiang Hao, Hui Chen, Yuchen Guo, Guiguang Ding:
Consolidator: Mergeable Adapter with Grouped Connections for Visual Adaptation. CoRR abs/2305.00603 (2023) - [i21]Menghan Wang, Jinming Yang, Yuchen Guo, Yuming Shen, Mengying Zhu, Yanlin Wang:
Modeling Orders of User Behaviors via Differentiable Sorting: A Multi-task Framework to Predicting User Post-click Conversion. CoRR abs/2307.09089 (2023) - [i20]Xiuxin Xia, Yuchen Guo, Yanwei Wang, Yuchao Yang, Yan Shi, Hong Men:
Human-Machine Cooperative Multimodal Learning Method for Cross-subject Olfactory Preference Recognition. CoRR abs/2311.14426 (2023) - 2022
- [j31]Bangkang Fu, Mudan Zhang, Junjie He, Ying Cao, Yuchen Guo, Rongpin Wang:
StoHisNet: A hybrid multi-classification model with CNN and Transformer for gastric pathology images. Comput. Methods Programs Biomed. 221: 106924 (2022) - [j30]Kai Chen, Zerun Wang, Xueyang Wang, Dahan Gong, Longlong Yu, Yuchen Guo, Guiguang Ding:
Towards real-time object detection in GigaPixel-level video. Neurocomputing 477: 14-24 (2022) - [j29]Yuchen Guo, Yao Li, Yilei Qian:
Local government debt risk assessment: A deep learning-based perspective. Inf. Process. Manag. 59(3): 102948 (2022) - [j28]Zhanping Zhou, Chenyang Zhao, Hui Qiao, Ming Wang, Yuchen Guo, Qian Wang, Rui Zhang, Huaiyu Wu, Fajin Dong, Zhenhong Qi, Jianchu Li, Xinping Tian, Xiaofeng Zeng, Yuxin Jiang, Feng Xu, Qionghai Dai, Meng Yang:
RATING: Medical knowledge-guided rheumatoid arthritis assessment from multimodal ultrasound images via deep learning. Patterns 3(10): 100592 (2022) - [j27]Leiyao Liao, Lan Du, Yuchen Guo:
Semi-Supervised SAR Target Detection Based on an Improved Faster R-CNN. Remote. Sens. 14(1): 143 (2022) - [j26]Yu Shi, Lan Du, Yuchen Guo, Yuang Du:
Unsupervised Domain Adaptation Based on Progressive Transfer for Ship Detection: From Optical to SAR Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j25]Baosheng Zhang, Yuchen Guo, Yipeng Li, Yuwei He, Haoqian Wang, Qionghai Dai:
Memory Recall: A Simple Neural Network Training Framework Against Catastrophic Forgetting. IEEE Trans. Neural Networks Learn. Syst. 33(5): 2010-2022 (2022) - [c53]Tao He, Leqi Shen, Yuchen Guo, Guiguang Ding, Zhenhua Guo:
SECRET: Self-Consistent Pseudo Label Refinement for Unsupervised Domain Adaptive Person Re-identification. AAAI 2022: 879-887 - [c52]Liuyu Xiang, Jundong Zhou, Jirui Liu, Zerun Wang, Haidong Huang, Jie Hu, Jungong Han, Yuchen Guo, Guiguang Ding:
ReMoNet: Recurrent Multi-Output Network for Efficient Video Denoising. AAAI 2022: 2786-2794 - [c51]Chengyi Cai, Jiaxin Liu, Wendi Yu, Yuchen Guo:
CLUE: Consolidating Learned and Undergoing Experience in Domain-Incremental Classification. ACCV (5) 2022: 281-296 - [c50]Kai Chen, Weihua Chen, Tao He, Rong Du, Fan Wang, Xiuyu Sun, Yuchen Guo, Guiguang Ding:
TAGPerson: A Target-Aware Generation Pipeline for Person Re-identification. ACM Multimedia 2022: 560-571 - [c49]Menghan Wang, Yuchen Guo, Zhenqi Zhao, Guangzheng Hu, Yuming Shen, Mingming Gong, Philip H. S. Torr:
MP2: A Momentum Contrast Approach for Recommendation with Pointwise and Pairwise Learning. SIGIR 2022: 2105-2109 - [i19]Hehan Teng, Tao He, Yuchen Guo, Zhenhua Guo, Guiguang Ding:
A Free Lunch to Person Re-identification: Learning from Automatically Generated Noisy Tracklets. CoRR abs/2204.00891 (2022) - [i18]Menghan Wang, Yuchen Guo, Zhenqi Zhao, Guangzheng Hu, Yuming Shen, Mingming Gong, Philip H. S. Torr:
MP2: A Momentum Contrast Approach for Recommendation with Pointwise and Pairwise Learning. CoRR abs/2204.08326 (2022) - [i17]Hehan Teng, Tao He, Yuchen Guo, Guiguang Ding:
A High-Accuracy Unsupervised Person Re-identification Method Using Auxiliary Information Mined from Datasets. CoRR abs/2205.03124 (2022) - [i16]Xin Zhao, Zhiwei Fang, Yuchen Guo, Jie He, Wenlong Chen, Changping Peng:
JDRec: Practical Actor-Critic Framework for Online Combinatorial Recommender System. CoRR abs/2207.13311 (2022) - [i15]Yuchen Guo, Qiguang Chen, Gary P. T. Choi, Lok Ming Lui:
Automatic Landmark Detection and Registration of Brain Cortical Surfaces via Quasi-Conformal Geometry and Convolutional Neural Networks. CoRR abs/2208.07010 (2022) - [i14]Fan Yang, Xinhao Xu, Hui Chen, Yuchen Guo, Jungong Han, Kai Ni, Guiguang Ding:
Ground Plane Matters: Picking Up Ground Plane Prior in Monocular 3D Object Detection. CoRR abs/2211.01556 (2022) - 2021
- [j24]Yang Liu, Yuchen Guo, Xiaoyan Liu, Chunyu Wang, Maozu Guo:
Pathogenic gene prediction based on network embedding. Briefings Bioinform. 22(4) (2021) - [j23]Hui Chen, Guiguang Ding, Zijia Lin, Yuchen Guo, Caifeng Shan, Jungong Han:
Image Captioning with Memorized Knowledge. Cogn. Comput. 13(4): 807-820 (2021) - [j22]Depeng Wang, Liejun Wang, Shiji Song, Gao Huang, Yuchen Guo, Shuli Cheng, Naixiang Ao, Anyu Du:
Fusion layer attention for image-text matching. Neurocomputing 442: 249-259 (2021) - [j21]Jian Chen, Lan Du, Yuchen Guo:
Label constrained convolutional factor analysis for classification with limited training samples. Inf. Sci. 544: 372-394 (2021) - [j20]Zihao Bo, Hui Qiao, Chong Tian, Yuchen Guo, Wuchao Li, Tiantian Liang, Dongxue Li, Dan Liao, Xianchun Zeng, Leilei Mei, Tianliang Shi, Bo Wu, Chao Huang, Lu Liu, Can Jin, Qiping Guo, Jun-Hai Yong, Feng Xu, Tijiang Zhang, Rongpin Wang, Qionghai Dai:
Toward human intervention-free clinical diagnosis of intracranial aneurysm via deep neural network. Patterns 2(2): 100197 (2021) - [j19]Lan Du, Lu Li, Yuchen Guo, Yan Wang, Ke Ren, Jian Chen:
Two-Stream Deep Fusion Network Based on VAE and CNN for Synthetic Aperture Radar Target Recognition. Remote. Sens. 13(20): 4021 (2021) - [j18]Yuchen Guo, Lan Du, Guoxin Lyu:
SAR Target Detection Based on Domain Adaptive Faster R-CNN with Small Training Data Size. Remote. Sens. 13(21): 4202 (2021) - [j17]Yuchen Guo, Lan Du, Di Wei, Chen Li:
Robust SAR Automatic Target Recognition Via Adversarial Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 716-729 (2021) - [j16]Yu Shi, Lan Du, Yuchen Guo:
Unsupervised Domain Adaptation for SAR Target Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 6372-6385 (2021) - [c48]Xiaohan Ding, Tianxiang Hao, Jianchao Tan, Ji Liu, Jungong Han, Yuchen Guo, Guiguang Ding:
ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting. ICCV 2021: 4490-4500 - [c47]Yuchen Guo, Lan Du, Chen Li, Jian Chen:
SAR Automatic Target Recognition Based on Multi-Scale Convolutional Factor Analysis Model with Max-Margin Constraint. IGARSS 2021: 3605-3608 - [c46]Zheng Wang, Jialong Wang, Yuchen Guo, Zhiguo Gong:
Zero-shot Node Classification with Decomposed Graph Prototype Network. KDD 2021: 1769-1779 - [i13]Zheng Wang, Jialong Wang, Yuchen Guo, Zhiguo Gong:
Zero-shot Node Classification with Decomposed Graph Prototype Network. CoRR abs/2106.08022 (2021) - [i12]Xiaohan Ding, Tianxiang Hao, Jungong Han, Yuchen Guo, Guiguang Ding:
Manipulating Identical Filter Redundancy for Efficient Pruning on Deep and Complicated CNN. CoRR abs/2107.14444 (2021) - [i11]Zerun Wang, Liuyu Xiang, Fan Yang, Jinzhao Qian, Jie Hu, Haidong Huang, Jungong Han, Yuchen Guo, Guiguang Ding:
LODE: Deep Local Deblurring and A New Benchmark. CoRR abs/2109.09149 (2021) - [i10]Kai Chen, Weihua Chen, Tao He, Rong Du, Fan Wang, Xiuyu Sun, Yuchen Guo, Guiguang Ding:
TAGPerson: A Target-Aware Generation Pipeline for Person Re-identification. CoRR abs/2112.14239 (2021) - 2020
- [j15]Cailian Deng, Xuming Fang, Xiao Han, Xianbin Wang, Li Yan, Rong He, Yan Long, Yuchen Guo:
IEEE 802.11be Wi-Fi 7: New Challenges and Opportunities. IEEE Commun. Surv. Tutorials 22(4): 2136-2166 (2020) - [j14]Ning Li, Martin J. Shepperd, Yuchen Guo:
A systematic review of unsupervised learning techniques for software defect prediction. Inf. Softw. Technol. 122: 106287 (2020) - [c45]Yuwei He, Xiaoming Jin, Guiguang Ding, Yuchen Guo, Jungong Han, Jiyong Zhang, Sicheng Zhao:
Heterogeneous Transfer Learning with Weighted Instance-Correspondence Data. AAAI 2020: 4099-4106 - [c44]Xueyang Wang, Xiya Zhang, Yinheng Zhu, Yuchen Guo, Xiaoyun Yuan, Liuyu Xiang, Zerun Wang, Guiguang Ding, David J. Brady, Qionghai Dai, Lu Fang:
PANDA: A Gigapixel-Level Human-Centric Video Dataset. CVPR 2020: 3265-3275 - [i9]Xueyang Wang, Xiya Zhang, Yinheng Zhu, Yuchen Guo, Xiaoyun Yuan, Liuyu Xiang, Zerun Wang, Guiguang Ding, David J. Brady, Qionghai Dai, Lu Fang:
PANDA: A Gigapixel-level Human-centric Video Dataset. CoRR abs/2003.04852 (2020) - [i8]Xiaohan Ding, Tianxiang Hao, Ji Liu, Jungong Han, Yuchen Guo, Guiguang Ding:
Lossless CNN Channel Pruning via Gradient Resetting and Convolutional Re-parameterization. CoRR abs/2007.03260 (2020)
2010 – 2019
- 2019
- [j13]Yuchen Guo, Lan Du, Jian Chen:
Max-margin multi-scale convolutional factor analysis model with application to image classification. Expert Syst. Appl. 133: 21-33 (2019) - [j12]Hang Shao, Yuchen Guo, Guiguang Ding, Jungong Han:
Zero-shot multi-label learning via label factorisation. IET Comput. Vis. 13(2): 117-124 (2019) - [j11]Jian Chen, Lan Du, Hua He, Yuchen Guo:
Convolutional factor analysis model with application to radar automatic target recognition. Pattern Recognit. 87: 140-156 (2019) - [j10]Chaoqun Chu, Dahan Gong, Kai Chen, Yuchen Guo, Jungong Han, Guiguang Ding:
Optimized projection for hashing. Pattern Recognit. Lett. 117: 169-178 (2019) - [j9]Gengshen Wu, Jungong Han, Yuchen Guo, Li Liu, Guiguang Ding, Qiang Ni, Ling Shao:
Unsupervised Deep Video Hashing via Balanced Code for Large-Scale Video Retrieval. IEEE Trans. Image Process. 28(4): 1993-2007 (2019) - [j8]Guiguang Ding, Yuchen Guo, Kai Chen, Chaoqun Chu, Jungong Han, Qionghai Dai:
DECODE: Deep Confidence Network for Robust Image Classification. IEEE Trans. Image Process. 28(8): 3752-3765 (2019) - [j7]Qinbao Song, Yuchen Guo, Martin J. Shepperd:
A Comprehensive Investigation of the Role of Imbalanced Learning for Software Defect Prediction. IEEE Trans. Software Eng. 45(12): 1253-1269 (2019) - [c43]Sicheng Zhao, Chuang Lin, Pengfei Xu, Sendong Zhao, Yuchen Guo, Ravi Krishna, Guiguang Ding, Kurt Keutzer:
CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting Image Emotions. AAAI 2019: 2620-2627 - [c42]Yuchen Guo, Guiguang Ding, Jungong Han, Xiaohan Ding, Sicheng Zhao, Zheng Wang, Chenggang Yan, Qionghai Dai:
Dual-View Ranking with Hardness Assessment for Zero-Shot Learning. AAAI 2019: 8360-8367 - [c41]Xiaohan Ding, Guiguang Ding, Yuchen Guo, Jungong Han:
Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure. CVPR 2019: 4943-4953 - [c40]Xiaohan Ding, Yuchen Guo, Guiguang Ding, Jungong Han:
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks. ICCV 2019: 1911-1920 - [c39]Xiaohan Ding, Guiguang Ding, Yuchen Guo, Jungong Han, Chenggang Yan:
Approximated Oracle Filter Pruning for Destructive CNN Width Optimization. ICML 2019: 1607-1616 - [c38]Martin J. Shepperd, Yuchen Guo, Ning Li, Mahir Arzoky, Andrea Capiluppi, Steve Counsell, Giuseppe Destefanis, Stephen Swift, Allan Tucker, Leila Yousefi:
The Prevalence of Errors in Machine Learning Experiments. IDEAL (1) 2019: 102-109 - [c37]Yuchen Guo, Guiguang Ding, Jungong Han, Hang Shao, Xin Lou, Qionghai Dai:
Zero-shot Learning with Many Classes by High-rank Deep Embedding Networks. IJCAI 2019: 2428-2434 - [c36]Yuchen Guo, Guiguang Ding, Jungong Han, Chenggang Yan, Jiyong Zhang, Qionghai Dai:
Landmark Selection for Zero-shot Learning. IJCAI 2019: 2435-2441 - [c35]Xiaohan Ding, Guiguang Ding, Xiangxin Zhou, Yuchen Guo, Jungong Han, Ji Liu:
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks. NeurIPS 2019: 6379-6391 - [c34]Ming Gan, Yuchen Guo, Genadiy Tsodik, Yan Xin, Xun Yang, Edward Au, Osama Aboul-Magd:
Full Duplex for Next Generation of 802.11. PIMRC Workshops 2019: 1-6 - [i7]Xiaohan Ding, Guiguang Ding, Yuchen Guo, Jungong Han:
Centripetal SGD for Pruning Very Deep Convolutional Networks with Complicated Structure. CoRR abs/1904.03837 (2019) - [i6]Xiaohan Ding, Guiguang Ding, Yuchen Guo, Jungong Han, Chenggang Yan:
Approximated Oracle Filter Pruning for Destructive CNN Width Optimization. CoRR abs/1905.04748 (2019) - [i5]Ning Li, Martin J. Shepperd, Yuchen Guo:
A Systematic Review of Unsupervised Learning Techniques for Software Defect Prediction. CoRR abs/1907.12027 (2019) - [i4]Xiaohan Ding, Yuchen Guo, Guiguang Ding, Jungong Han:
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks. CoRR abs/1908.03930 (2019) - [i3]Martin J. Shepperd, Yuchen Guo, Ning Li, Mahir Arzoky, Andrea Capiluppi, Steve Counsell, Giuseppe Destefanis, Stephen Swift, Allan Tucker, Leila Yousefi:
The Prevalence of Errors in Machine Learning Experiments. CoRR abs/1909.04436 (2019) - [i2]Xiaohan Ding, Guiguang Ding, Xiangxin Zhou, Yuchen Guo, Ji Liu, Jungong Han:
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks. CoRR abs/1909.12778 (2019) - [i1]Yuchen Guo, Nicholas Hanoian, Zhexiao Lin, Nicholas Liskij, Hanbaek Lyu, Deanna Needell, Jiahao Qu, Henry Sojico, Yuliang Wang, Zhe Xiong, Zhenhong Zou:
Topic-aware chatbot using Recurrent Neural Networks and Nonnegative Matrix Factorization. CoRR abs/1912.00315 (2019) - 2018
- [j6]Yuchen Guo, Guiguang Ding, Jungong Han:
Robust Quantization for General Similarity Search. IEEE Trans. Image Process. 27(2): 949-963 (2018) - [c33]Yuchen Guo, Xin Zhao, Guiguang Ding, Jungong Han:
On Trivial Solution and High Correlation Problems in Deep Supervised Hashing. AAAI 2018: 2240-2247 - [c32]Yuchen Guo, Guiguang Ding, Jungong Han, Sheng Tang:
Zero-Shot Learning With Attribute Selection. AAAI 2018: 6870-6877 - [c31]Hui Chen, Guiguang Ding, Zijia Lin, Yuchen Guo, Jungong Han:
Attend to Knowledge: Memory-Enhanced Attention Network for Image Captioning. BICS 2018: 161-171 - [c30]Yuchen Guo, Martin J. Shepperd, Ning Li:
Bridging effort-aware prediction and strong classification: a just-in-time software defect prediction study. ICSE (Companion Volume) 2018: 325-326 - [c29]Xin Zhao, Liufang Sang, Guiguang Ding, Yuchen Guo, Xiaoming Jin:
Grouping Attribute Recognition for Pedestrian with Joint Recurrent Learning. IJCAI 2018: 3177-3183 - [c28]Jing Zhong, Guiguang Ding, Yuchen Guo, Jungong Han, Bin Wang:
Where to Prune: Using LSTM to Guide End-to-end Pruning. IJCAI 2018: 3205-3211 - [c27]Yuchen Guo, Guiguang Ding, Jungong Han, Sicheng Zhao, Bin Wang:
Implicit Non-linear Similarity Scoring for Recognizing Unseen Classes. IJCAI 2018: 4898-4904 - 2017
- [j5]Guiguang Ding, Jile Zhou, Yuchen Guo, Zijia Lin, Sicheng Zhao, Jungong Han:
Large-scale image retrieval with Sparse Embedded Hashing. Neurocomputing 257: 24-36 (2017) - [j4]Yuchen Guo, Guiguang Ding, Li Liu, Jungong Han, Ling Shao:
Learning to Hash With Optimized Anchor Embedding for Scalable Retrieval. IEEE Trans. Image Process. 26(3): 1344-1354 (2017) - [j3]Yuchen Guo, Guiguang Ding, Jungong Han, Yue Gao:
Zero-Shot Learning With Transferred Samples. IEEE Trans. Image Process. 26(7): 3277-3290 (2017) - [c26]Yuchen Guo, Guiguang Ding, Yue Gao, Jungong Han:
Active Learning with Cross-Class Similarity Transfer. AAAI 2017: 1338-1344 - [c25]Yuchen Guo, Guiguang Ding, Jungong Han, Yue Gao:
Zero-Shot Recognition via Direct Classifier Learning with Transferred Samples and Pseudo Labels. AAAI 2017: 4061-4067 - [c24]Yuchen Guo:
Problems in Large-Scale Image Classification. AAAI 2017: 5038-5039 - [c23]Yuchen Guo, Zhifeng Xie, Wenjun Zhang, Lizhuang Ma:
Efficient High Dynamic Range Video Using Multi-exposure CNN Flow. ICIG (3) 2017: 70-81 - [c22]Yuchen Guo, Guiguang Ding, Jungong Han, Yue Gao:
SitNet: Discrete Similarity Transfer Network for Zero-shot Hashing. IJCAI 2017: 1767-1773 - [c21]Yuchen Guo, Guiguang Ding, Jungong Han, Yue Gao:
Synthesizing Samples for Zero-shot Learning. IJCAI 2017: 1774-1780 - [c20]Gengshen Wu, Li Liu, Yuchen Guo, Guiguang Ding, Jungong Han, Jialie Shen, Ling Shao:
Unsupervised Deep Video Hashing with Balanced Rotation. IJCAI 2017: 3076-3082 - [c19]Xin Zhao, Guiguang Ding, Yuchen Guo, Jungong Han, Yue Gao:
TUCH: Turning Cross-view Hashing into Single-view Hashing via Generative Adversarial Nets. IJCAI 2017: 3511-3517 - [c18]Fanpeng Meng, Yijun Gu, Shunshun Fu, Mengdi Wang, Yuchen Guo:
Comparison of Different Centrality Measures to Find Influential Nodes in Complex Networks. SpaCCS Workshops 2017: 415-423 - [c17]David Xun Yang, Yuchen Guo, Osama Aboul-Magd:
802.11ax: The Coming New WLAN System with More Than 4x MAC Throughput Enhancement. VTC Fall 2017: 1-5 - 2016
- [j2]Guiguang Ding, Yuchen Guo, Jile Zhou, Yue Gao:
Large-Scale Cross-Modality Search via Collective Matrix Factorization Hashing. IEEE Trans. Image Process. 25(11): 5427-5440 (2016) - [c16]Yuchen Guo, Guiguang Ding, Yuqi Wang, Xiaoming Jin:
Active Learning with Cross-Class Knowledge Transfer. AAAI 2016: 1624-1630 - [c15]Yuchen Guo, Guiguang Ding, Xiaoming Jin, Jianmin Wang:
Transductive Zero-Shot Recognition via Shared Model Space Learning. AAAI 2016: 3434-3500 - [c14]Yuchen Guo, Guiguang Ding, Yue Gao, Jianmin Wang:
Semi-Supervised Active Learning with Cross-Class Sample Transfer. IJCAI 2016: 1526-1532 - [c13]Yuchen Guo, Guiguang Ding, Jungong Han, Xiaoming Jin:
Robust Iterative Quantization for Efficient ℓp-norm Similarity Search. IJCAI 2016: 3382-3388 - [c12]Shijiang Chen, Guiguang Ding, Chenxiao Li, Yuchen Guo:
Image Representation Optimization Based on Locally Aggregated Descriptors. PAKDD (2) 2016: 104-116 - 2015
- [c11]