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Hanwen Liu
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2020 – today
- 2024
- [j24]Kaida Cai, Wenzhi Fu, Zhengyan Wang, Xiaofang Yang, Hanwen Liu, Ziyang Ji:
Optimizing Prognostic Predictions in Liver Cancer with Machine Learning and Survival Analysis. Entropy 26(9): 767 (2024) - [j23]Zhihao Gu, Yong Yan, Hanwen Liu, Di Wu, Hequan Yao, Kejiang Lin, Xuanyi Li:
Discovery of Covalent Lead Compounds Targeting 3CL Protease with a Lateral Interactions Spiking Neural Network. J. Chem. Inf. Model. 64(8): 3047-3058 (2024) - [j22]Vladimir Grouza, Hooman Bagheri, Hanwen Liu, Marius Tuznik, Zhe Wu, Nicole Robinson, Katherine A. Siminovitch, Alan Peterson, David A. Rudko:
Ultra-high-resolution mapping of myelin and g-ratio in a panel of Mbp enhancer-edited mouse strains using microstructural MRI. NeuroImage 300: 120850 (2024) - [j21]Yuchen Wang, Hanwen Liu, Malu Zhang, Xiaoling Luo, Hong Qu:
A universal ANN-to-SNN framework for achieving high accuracy and low latency deep Spiking Neural Networks. Neural Networks 174: 106244 (2024) - [j20]Ye Chen, Dongqin Lu, Huan Xing, Haotian Ding, Junxian Luo, Hanwen Liu, Xiangxu Kong, Fei Xu:
Recent Progress in MEMS Fiber-Optic Fabry-Perot Pressure Sensors. Sensors 24(4): 1079 (2024) - [j19]Hanwen Liu, Lianyong Qi, Shigen Shen, Arif Ali Khan, Shunmei Meng, Qianmu Li:
Microservice-driven privacy-aware cross-platform social relationship prediction based on sequential information. Softw. Pract. Exp. 54(1): 85-105 (2024) - [j18]Jianhang Liu, Yuxiang Wang, Wenwen Gong, Hanwen Liu, Yanwei Xu, Huaizhen Kou:
A Smart Data-Driven Multi-Level Synchronous Digital Twin Model for Vehicle-Assisted Driving. IEEE Trans. Consumer Electron. 70(1): 4037-4049 (2024) - [j17]Yuguo Liu, Wenyu Chen, Hanwen Liu, Yun Zhang, Malu Zhang, Hong Qu:
Biologically Plausible Sparse Temporal Word Representations. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16952-16959 (2024) - [c31]Nan He, Weichen Xiong, Hanwen Liu, Yi Liao, Lei Ding, Kai Zhang, Guohua Tang, Xiao Han, Yang Wei:
SoftDedup: an Efficient Data Reweighting Method for Speeding Up Language Model Pre-training. ACL (1) 2024: 4011-4022 - [c30]Hanwen Liu, Zhicheng Sun, Yadong Mu:
Countering Personalized Text-to-Image Generation with Influence Watermarks. CVPR 2024: 12257-12267 - [c29]Lang Xue, Hanwen Liu, Jing Wang, Hong Qu:
Reasonable Gradients for Online Training Algorithms in Spiking Neural Networks. ECAI 2024: 2709-2716 - [c28]Yuguo Liu, Wenyu Chen, Hanwen Liu, Yun Zhang, Liwei Huang, Hong Qu:
A Multiscale Resonant Spiking Neural Network for Music Classification. ICANN (4) 2024: 3-16 - [c27]Kexin Shi, Hanwen Liu, Yi Chen, Hong Qu:
HL-ESViT: High-Low Frequency Efficient Spiking Vision Transformer. IJCNN 2024: 1-8 - [c26]Hanwen Liu, Mihail Stoian, Alexander van Renen, Andreas Kipf:
Corra: Correlation-Aware Column Compression. VLDB Workshops 2024 - [i16]Zhenyu Bi, Sajib Acharjee Dip, Daniel Hajialigol, Sindhura Kommu, Hanwen Liu, Meng Lu, Xuan Wang:
AI for Biomedicine in the Era of Large Language Models. CoRR abs/2403.15673 (2024) - [i15]Hanwen Liu, Mihail Stoian, Alexander van Renen, Andreas Kipf:
Corra: Correlation-Aware Column Compression. CoRR abs/2403.17229 (2024) - [i14]Hanwen Liu, Jun Zhang:
Some Computational Results on Koszul-Vinberg Cochain Complexes. CoRR abs/2404.18344 (2024) - [i13]Hanwen Liu, Daniel Hajialigol, Benny Antony, Aiguo Han, Xuan Wang:
EEG2TEXT: Open Vocabulary EEG-to-Text Decoding with EEG Pre-Training and Multi-View Transformer. CoRR abs/2405.02165 (2024) - [i12]Zijie Zhong, Hanwen Liu, Xiaoya Cui, Xiaofan Zhang, Zengchang Qin:
Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented Generation. CoRR abs/2406.00456 (2024) - [i11]Nan He, Weichen Xiong, Hanwen Liu, Yi Liao, Lei Ding, Kai Zhang, Guohua Tang, Xiao Han, Wei Yang:
SoftDedup: an Efficient Data Reweighting Method for Speeding Up Language Model Pre-training. CoRR abs/2407.06654 (2024) - 2023
- [c25]Nianzhe Li, Hanwen Liu, Shunmei Meng, Qianmu Li:
FDRS: Federated Diversified Recommender System Based on Heterogeneous Graph Convolutional Network. HPCC/DSS/SmartCity/DependSys 2023: 257-264 - [c24]Hanwen Liu, Zhenyu Weng, Yuesheng Zhu, Yadong Mu:
Trapdoor Normalization with Irreversible Ownership Verification. ICML 2023: 22177-22187 - [c23]Hanwen Liu, Yi Chen, Zihang Zeng, Malu Zhang, Hong Qu:
A Low Power and Low Latency FPGA-Based Spiking Neural Network Accelerator. IJCNN 2023: 1-8 - [c22]Hanwen Liu, Yibing Zhang, Ximeng Wang, Bin Wang, Yanwei Yu:
ST-MoE: Spatio-Temporal Mixture of Experts for Multivariate Time Series Forecasting. ISKE 2023: 562-567 - [c21]Hanwen Liu, Peilin Zhao, Tingyang Xu, Yatao Bian, Junzhou Huang, Yuesheng Zhu, Yadong Mu:
Curriculum Graph Poisoning. WWW 2023: 2011-2021 - [i10]Fangyu Lei, Tongxu Luo, Pengqi Yang, Weihao Liu, Hanwen Liu, Jiahe Lei, Yiming Huang, Yifan Wei, Shizhu He, Jun Zhao, Kang Liu:
TableQAKit: A Comprehensive and Practical Toolkit for Table-based Question Answering. CoRR abs/2310.15075 (2023) - [i9]Daniel Hajialigol, Hanwen Liu, Xuan Wang:
XAI-CLASS: Explanation-Enhanced Text Classification with Extremely Weak Supervision. CoRR abs/2311.00189 (2023) - 2022
- [j16]Chen Bai, Xiaomeng Chen, Hanwen Liu, Kun Yu:
Parental Expectation and Mobile Phone Addiction in Adolescents from Chinese Low-Income Families: The Mediating Effects of Self-Esteem and Social Anxiety. Cyberpsychology Behav. Soc. Netw. 25(9): 589-596 (2022) - [j15]Haiyang Hu, Jie Chen, Hanwen Liu, Zhongjin Li, Liguo Huang:
Natural Language-Based Automatic Programming for Industrial Robots. J. Grid Comput. 20(3): 26 (2022) - [j14]Hanwen Liu, Shunmei Meng, Jun Hou, Shuo Wang, Qianmu Li, Chanying Huang:
Locality-Sensitive Hashing-Based Link Prediction Process on Smart Campus Education or Online Social Platform. J. Circuits Syst. Comput. 31(9): 2250160:1-2250160:25 (2022) - [j13]Hanwen Liu, Vladimir Grouza, Marius Tuznik, Katherine A. Siminovitch, Hooman Bagheri, Alan Peterson, David A. Rudko:
Self-labelled encoder-decoder (SLED) for multi-echo gradient echo-based myelin water imaging. NeuroImage 264: 119717 (2022) - [c20]Xiaoling Luo, Hanwen Liu, Yi Chen, Malu Zhang, Hong Qu:
Temporal-Sequential Learning with Columnar-Structured Spiking Neural Networks. ICONIP (4) 2022: 153-164 - 2021
- [j12]Huaizhen Kou, Hanwen Liu, Yucong Duan, Wenwen Gong, Yanwei Xu, Xiaolong Xu, Lianyong Qi:
Building trust/distrust relationships on signed social service network through privacy-aware link prediction process. Appl. Soft Comput. 100: 106942 (2021) - [j11]Pablo Navarrete Michelini, Wenbin Chen, Hanwen Liu, Dan Zhu, Xingqun Jiang:
Multi-Grid Back-Projection Networks. IEEE J. Sel. Top. Signal Process. 15(2): 279-294 (2021) - [j10]Guangming Wang, Hanwen Liu, Muyao Chen, Yehui Yang, Zhe Liu, Hesheng Wang:
Anchor-Based Spatio-Temporal Attention 3-D Convolutional Networks for Dynamic 3-D Point Cloud Sequences. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [c19]Yihong Jin, Guanshujie Fu, Liyang Qian, Hanwen Liu, Hongwei Wang:
Representation and Extraction of Diesel Engine Maintenance Knowledge Graph with Bidirectional Relations Based on BERT and the Bi-LSTM-CRF Model. ICEBE 2021: 126-133 - [c18]Pablo Navarrete Michelini, Hanwen Liu, Yunhua Lu, Xingqun Jiang:
Back-Projection Pipeline. ICIP 2021: 1949-1953 - [c17]Hanwen Liu, Zhenyu Weng, Yuesheng Zhu:
Watermarking Deep Neural Networks with Greedy Residuals. ICML 2021: 6978-6988 - [i8]Pablo Navarrete Michelini, Wenbin Chen, Hanwen Liu, Dan Zhu, Xingqun Jiang:
Multi-Grid Back-Projection Networks. CoRR abs/2101.00150 (2021) - 2020
- [j9]Yong Sang, Qiyun Zhang, Kuilin Zhang, Dongxing Wang, Qunying Yuan, Hanwen Liu:
Fuzzy Keywords-Driven Public Sports Resource Allocation Strategies Retrieval With Privacy-Preservation. IEEE Access 8: 195980-195988 (2020) - [j8]Hanwen Liu, Huaizhen Kou, Chao Yan, Lianyong Qi:
Keywords-Driven and Popularity-Aware Paper Recommendation Based on Undirected Paper Citation Graph. Complex. 2020: 2085638:1-2085638:15 (2020) - [j7]Hanwen Liu, Qing-San Xiang, Roger C. Tam, Adam V. Dvorak, Alex L. MacKay, Shannon H. Kolind, Anthony Traboulsee, Irene M. Vavasour, David K. B. Li, John K. Kramer, Cornelia Laule:
Myelin water imaging data analysis in less than one minute. NeuroImage 210: 116551 (2020) - [c16]Hanwen Liu:
Analysis of Low-Carbon Logistics Transportation Method Based on the Perspective of Low-Carbon Economy. CSIA (2) 2020: 277-282 - [c15]Hanwen Liu, Xiaohan Helu, Chengjie Jin, Hui Lu, Zhihong Tian, Xiaojiang Du, Khalid Abualsaud:
A Malware Detection Method for Health Sensor Data Based on Machine Learning. ICIoT 2020: 277-282 - [i7]Guangming Wang, Hanwen Liu, Muyao Chen, Yehui Yang, Zhe Liu, Hesheng Wang:
Anchor-Based Spatial-Temporal Attention Convolutional Networks for Dynamic 3D Point Cloud Sequences. CoRR abs/2012.10860 (2020)
2010 – 2019
- 2019
- [j6]Jielin Li, Longyin Zhu, Keping Zhou, Shangpeng Cao, Hanwen Liu:
Experimental Investigation on the Effects of Ambient Freeze-Thaw Cycling on Creep Mechanical Properties of Sandstone Under Step Loading. IEEE Access 7: 108513-108520 (2019) - [j5]Yanwei Xu, Hanwen Liu, Chao Yan:
A privacy-preserving exception handling approach for dynamic mobile crowdsourcing applications. EURASIP J. Wirel. Commun. Netw. 2019: 113 (2019) - [j4]Xuening Chen, Hanwen Liu, Dan Yang:
Improved LSH for privacy-aware and robust recommender system with sparse data in edge environment. EURASIP J. Wirel. Commun. Netw. 2019: 171 (2019) - [j3]Hanwen Liu, Huaizhen Kou, Chao Yan, Lianyong Qi:
Link prediction in paper citation network to construct paper correlation graph. EURASIP J. Wirel. Commun. Netw. 2019: 233 (2019) - [j2]Xuening Chen, Hanwen Liu, Yanwei Xu, Chao Yan:
Robust and Privacy-Preserving Service Recommendation over Sparse Data in Education. Wirel. Commun. Mob. Comput. 2019: 2401857:1-2401857:13 (2019) - [c14]Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu:
Multigrid Backprojection Super-Resolution and Deep Filter Visualization. AAAI 2019: 4642-4650 - [c13]Jianrui Cai, Shuhang Gu, Radu Timofte, Lei Zhang, Xiao Liu, Yukang Ding, Dongliang He, Chao Li, Yi Fu, Shilei Wen, Ruicheng Feng, Jinjin Gu, Yu Qiao, Chao Dong, Dongwon Park, Se Young Chun, Sanghoon Yoon, Junhyung Kwak, Donghee Son, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Zhengping Wei, Lei Liu, Hong Cai, Darui Li, Fujie Gao, Zheng Hui, Xiumei Wang, Xinbo Gao, Guoan Cheng, Ai Matsune, Qiuyu Li, Leilei Zhu, Huaijuan Zang, Shu Zhan, Yajun Qiu, Ruxin Wang, Jiawei Li, Yongcheng Jing, Mingli Song, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Wenyi Tang, Jing Liu, Youngjung Kim, Changyeop Shin, Minbeom Kim, Sungho Kim, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Xuan Xu, Xin Li, Furui Bai, Xiaopeng Sun, Lin Zha, Yuanfei Huang, Wen Lu, Yanpeng Cao, Du Chen, Zewei He, Anshun Sun, Siliang Tang, Hongfei Fan, Xiang Li, Guo Li, Wenjie Zhang, Yumei Zhang, Qingwen He, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Jun Yu, Guochen Xie, Mengyan Li, Rong Chen, Xiaotong Luo, Chen Hong, Yanyun Qu, Cuihua Li, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Can Zhao, Bowen Li, Chung-Chi Tsai, Shang-Chih Chuang, Joonhee Choi, Joonsoo Kim, Xiaoyun Jiang, Ze Pan, Qunbo Lv, Zheng Tan, Peidong He:
NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results. CVPR Workshops 2019: 2211-2223 - [c12]Andrey Ignatov, Radu Timofte, Xiaochao Qu, Xingguang Zhou, Ting Liu, Pengfei Wan, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Dongwon Park, Se Young Chun, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Jie Liu, Cheolkon Jung, Raimondo Schettini, Simone Bianco, Claudio Cusano, Flavio Piccoli, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Nelson Chong Ngee Bow, Lai-Kuan Wong, John See, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Zheng Hui, Xiumei Wang, Xinbo Gao, Kanti Kumari, Vikas Kumar Anand, Mahendra Khened, Ganapathy Krishnamurthi:
NTIRE 2019 Challenge on Image Enhancement: Methods and Results. CVPR Workshops 2019: 2224-2232 - [c11]Codruta O. Ancuti, Cosmin Ancuti, Radu Timofte, Luc Van Gool, Lei Zhang, Ming-Hsuan Yang, Tiantong Guo, Xuelu Li, Venkateswararao Cherukuri, Vishal Monga, Hao Jiang, Siyuan Yang, Yan Liu, Xiaochao Qu, Pengfei Wan, Dongwon Park, Se Young Chun, Ming Hong, Jinying Huang, Yizi Chen, Shuxin Chen, Bomin Wang, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Jing Liu, Sanchayan Santra, Ranjan Mondal, Bhabatosh Chanda, Peter Morales, Tzofi Klinghoffer, Le Manh Quan, Yong-Guk Kim, Xiao Liang, Runde Li, Jinshan Pan, Jinhui Tang, Kuldeep Purohit, Maitreya Suin, A. N. Rajagopalan, Raimondo Schettini, Simone Bianco, Flavio Piccoli, Claudio Cusano, Luigi Celona, Sunhee Hwang, Yu Seung Ma, Hyeran Byun, Subrahmanyam Murala, Akshay Dudhane, Harshjeet Singh Aulakh, Tianxiang Zheng, Tao Zhang, Weining Qin, Runnan Zhou, Shanhu Wang, Jean-Philippe Tarel, Chuansheng Wang, Jiawei Wu:
NTIRE 2019 Image Dehazing Challenge Report. CVPR Workshops 2019: 2241-2253 - [c10]Pablo Navarrete Michelini, Hanwen Liu, Yunhua Lu, Xingqun Jiang:
A Tour of Convolutional Networks Guided by Linear Interpreters. ICCV 2019: 4752-4761 - [c9]Pablo Navarrete Michelini, Wenbin Chen, Hanwen Liu, Dan Zhu:
MGBPv2: Scaling Up Multi-Grid Back-Projection Networks. ICCV Workshops 2019: 3399-3407 - [c8]Shuhang Gu, Hanwen Liu, Dan Zhu, Tangxin Xie, Xin Yang, Chen Zhu, Jia Yu, Wenyu Sun, Xin Tao, Zijun Deng, Liying Lu, Martin Danelljan, Wenbo Li, Taian Guo, Xiaoyong Shen, Xuemiao Xu, Yu-Wing Tai, Jiaya Jia, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Radu Timofte, Jiayi Ma, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Wan-Chi Siu, Yui-Lam Chan, Ruofan Zhou, Majed El Helou, Kuldeep Purohit, Praveen Kandula, Muhammad Haris, Maitreya Suin, A. N. Rajagopalan, Kazutoshi Akita, Greg Shakhnarovich, Norimichi Ukita, Pablo Navarrete Michelini, Wenbin Chen:
AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and Results. ICCV Workshops 2019: 3556-3564 - [c7]Pablo Navarrete Michelini, Hanwen Liu, Yunhua Lu, Xingqun Jiang:
Understanding Convolutional Networks Using Linear Interpreters - Extended Abstract. ICCV Workshops 2019: 4186-4189 - [c6]Dan Zhu, Guannan Chen, Pablo Navarrete Michelini, Hanwen Liu:
Fast Image Enhancement Based on Maximum and Guided Filters. ICIP 2019: 4080-4084 - [c5]Hanwen Liu, Huaizhen Kou, Xiaoxiao Chi, Lianyong Qi:
Combining time, keywords and authors information to construct papers correlation graph (S). SEKE 2019: 11-19 - [i6]Pablo Navarrete Michelini, Hanwen Liu, Yunhua Lu, Xingqun Jiang:
A Tour of Convolutional Networks Guided by Linear Interpreters. CoRR abs/1908.05168 (2019) - [i5]Pablo Navarrete Michelini, Wenbin Chen, Hanwen Liu, Dan Zhu:
MGBPv2: Scaling Up Multi-Grid Back-Projection Networks. CoRR abs/1909.12983 (2019) - 2018
- [c4]Pablo Navarrete Michelini, Dan Zhu, Hanwen Liu:
Multi-scale Recursive and Perception-Distortion Controllable Image Super-Resolution. ECCV Workshops (5) 2018: 3-19 - [c3]Hanwen Liu, Pablo Navarrete Michelini, Dan Zhu:
Deep Networks for Image-to-Image Translation with Mux and Demux Layers. ECCV Workshops (5) 2018: 150-165 - [c2]Andrey Ignatov, Radu Timofte, Thang Van Vu, Tung Minh Luu, Trung X. Pham, Cao Van Nguyen, Yongwoo Kim, Jae-Seok Choi, Munchurl Kim, Jie Huang, Jiewen Ran, Chen Xing, Xingguang Zhou, Pengfei Zhu, Mingrui Geng, Yawei Li, Eirikur Agustsson, Shuhang Gu, Luc Van Gool, Etienne de Stoutz, Nikolay Kobyshev, Kehui Nie, Yan Zhao, Gen Li, Tong Tong, Qinquan Gao, Hanwen Liu, Pablo Navarrete Michelini, Dan Zhu, Hu Fengshuo, Zheng Hui, Xiumei Wang, Lirui Deng, Rang Meng, Jinghui Qin, Yukai Shi, Wushao Wen, Liang Lin, Ruicheng Feng, Shixiang Wu, Chao Dong, Yu Qiao, Subeesh Vasu, Thekke Madam Nimisha, Praveen Kandula, A. N. Rajagopalan, Jie Liu, Cheolkon Jung:
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report. ECCV Workshops (5) 2018: 315-333 - [c1]Hanwen Liu, Pablo Navarrete Michelini, Dan Zhu:
Artsy-GAN: A style transfer system with improved quality, diversity and performance. ICPR 2018: 79-84 - [i4]Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu:
Multigrid Backprojection Super-Resolution and Deep Filter Visualization. CoRR abs/1809.09326 (2018) - [i3]Pablo Navarrete Michelini, Dan Zhu, Hanwen Liu:
Multi-Scale Recursive and Perception-Distortion Controllable Image Super-Resolution. CoRR abs/1809.10711 (2018) - [i2]Andrey Ignatov, Radu Timofte, Thang Van Vu, Tung Minh Luu, Trung X. Pham, Cao Van Nguyen, Yongwoo Kim, Jae-Seok Choi, Munchurl Kim, Jie Huang, Jiewen Ran, Chen Xing, Xingguang Zhou, Pengfei Zhu, Mingrui Geng, Yawei Li, Eirikur Agustsson, Shuhang Gu, Luc Van Gool, Etienne de Stoutz, Nikolay Kobyshev, Kehui Nie, Yan Zhao, Gen Li, Tong Tong, Qinquan Gao, Hanwen Liu, Pablo Navarrete Michelini, Dan Zhu, Hu Fengshuo, Zheng Hui, Xiumei Wang, Lirui Deng, Rang Meng, Jinghui Qin, Yukai Shi, Wushao Wen, Liang Lin, Ruicheng Feng, Shixiang Wu, Chao Dong, Yu Qiao, Subeesh Vasu, Thekke Madam Nimisha, Praveen Kandula, A. N. Rajagopalan, Jie Liu, Cheolkon Jung:
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report. CoRR abs/1810.01641 (2018) - 2017
- [i1]Pablo Navarrete Michelini, Hanwen Liu:
Convolutional Networks with MuxOut Layers as Multi-rate Systems for Image Upscaling. CoRR abs/1705.07772 (2017) - 2016
- [j1]Guozheng Song, Faisal Khan, Hangzhou Wang, Shelly Leighton, Zhi Yuan, Hanwen Liu:
Dynamic occupational risk model for offshore operations in harsh environments. Reliab. Eng. Syst. Saf. 150: 58-64 (2016)
Coauthor Index
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