Hanwen Liu

According to our database, Hanwen Liu authored at least 65 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

FDRP: federated deep relationship prediction with sequential information.

Hanwen Liu, Nianzhe Li, Huaizhen Kou, Shunmei Meng, Qianmu Li

Wirel. Networks, November, 2024

Biologically Plausible Sparse Temporal Word Representations.

Yuguo Liu, Wenyu Chen, Hanwen Liu, Yun Zhang, Malu Zhang, Hong Qu

IEEE Trans. Neural Networks Learn. Syst., November, 2024

Optimizing Prognostic Predictions in Liver Cancer with Machine Learning and Survival Analysis.

Kaida Cai, Wenzhi Fu, Zhengyan Wang, Xiaofang Yang, Hanwen Liu, Ziyang Ji

Entropy, September, 2024

A Smart Data-Driven Multi-Level Synchronous Digital Twin Model for Vehicle-Assisted Driving.

Jianhang Liu, Yuxiang Wang, Wenwen Gong, Hanwen Liu, Yanwei Xu, Huaizhen Kou

IEEE Trans. Consumer Electron., February, 2024

Recent Progress in MEMS Fiber-Optic Fabry-Perot Pressure Sensors.

Ye Chen, Dongqin Lu, Huan Xing, Haotian Ding, Junxian Luo, Hanwen Liu, Xiangxu Kong, Fei Xu

Sensors, February, 2024

Microservice-driven privacy-aware cross-platform social relationship prediction based on sequential information.

Hanwen Liu, Lianyong Qi, Shigen Shen, Arif Ali Khan, Shunmei Meng, Qianmu Li

Softw. Pract. Exp., January, 2024

A universal ANN-to-SNN framework for achieving high accuracy and low latency deep Spiking Neural Networks.

Yuchen Wang, Hanwen Liu, Malu Zhang, Xiaoling Luo, Hong Qu

Neural Networks, 2024

Ultra-high-resolution mapping of myelin and g-ratio in a panel of Mbp enhancer-edited mouse strains using microstructural MRI.

Vladimir Grouza, Hooman Bagheri, Hanwen Liu, Marius Tuznik, Zhe Wu, Nicole Robinson, Katherine A. Siminovitch, Alan Peterson, David A. Rudko

NeuroImage, 2024

Discovery of Covalent Lead Compounds Targeting 3CL Protease with a Lateral Interactions Spiking Neural Network.

Zhihao Gu, Yong Yan, Hanwen Liu, Di Wu, Hequan Yao, Kejiang Lin, Xuanyi Li

J. Chem. Inf. Model., 2024

SoftDedup: an Efficient Data Reweighting Method for Speeding Up Language Model Pre-training.

Nan He, Weichen Xiong, Hanwen Liu, Yi Liao, Lei Ding, Kai Zhang, Guohua Tang, Xiao Han, Wei Yang

CoRR, 2024

Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented Generation.

Zijie Zhong, Hanwen Liu, Xiaoya Cui, Xiaofan Zhang, Zengchang Qin

CoRR, 2024

EEG2TEXT: Open Vocabulary EEG-to-Text Decoding with EEG Pre-Training and Multi-View Transformer.

Hanwen Liu, Daniel Hajialigol, Benny Antony, Aiguo Han, Xuan Wang

CoRR, 2024

Some Computational Results on Koszul-Vinberg Cochain Complexes.

Hanwen Liu, Jun Zhang

CoRR, 2024

AI for Biomedicine in the Era of Large Language Models.

Zhenyu Bi, Sajib Acharjee Dip, Daniel Hajialigol, Sindhura Kommu, Hanwen Liu, Meng Lu, Xuan Wang

CoRR, 2024

Corra: Correlation-Aware Column Compression.

Hanwen Liu, Mihail Stoian, Alexander van Renen, Andreas Kipf

Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024

HL-ESViT: High-Low Frequency Efficient Spiking Vision Transformer.

Kexin Shi, Hanwen Liu, Yi Chen, Hong Qu

Proceedings of the International Joint Conference on Neural Networks, 2024

A Multiscale Resonant Spiking Neural Network for Music Classification.

Yuguo Liu, Wenyu Chen, Hanwen Liu, Yun Zhang, Liwei Huang, Hong Qu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Reasonable Gradients for Online Training Algorithms in Spiking Neural Networks.

Lang Xue, Hanwen Liu, Jing Wang, Hong Qu

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Countering Personalized Text-to-Image Generation with Influence Watermarks.

Hanwen Liu, Zhicheng Sun, Yadong Mu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

SoftDedup: an Efficient Data Reweighting Method for Speeding Up Language Model Pre-training.

Nan He, Weichen Xiong, Hanwen Liu, Yi Liao, Lei Ding, Kai Zhang, Guohua Tang, Xiao Han, Yang Wei

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

XAI-CLASS: Explanation-Enhanced Text Classification with Extremely Weak Supervision.

Daniel Hajialigol, Hanwen Liu, Xuan Wang

CoRR, 2023

TableQAKit: A Comprehensive and Practical Toolkit for Table-based Question Answering.

Fangyu Lei, Tongxu Luo, Pengqi Yang, Weihao Liu, Hanwen Liu, Jiahe Lei, Yiming Huang, Yifan Wei, Shizhu He, Jun Zhao, Kang Liu

CoRR, 2023

Curriculum Graph Poisoning.

Hanwen Liu, Peilin Zhao, Tingyang Xu, Yatao Bian, Junzhou Huang, Yuesheng Zhu, Yadong Mu

Proceedings of the ACM Web Conference 2023, 2023

ST-MoE: Spatio-Temporal Mixture of Experts for Multivariate Time Series Forecasting.

Hanwen Liu, Yibing Zhang, Ximeng Wang, Bin Wang, Yanwei Yu

Proceedings of the 18th International Conference on Intelligent Systems and Knowledge Engineering, 2023

A Low Power and Low Latency FPGA-Based Spiking Neural Network Accelerator.

Hanwen Liu, Yi Chen, Zihang Zeng, Malu Zhang, Hong Qu

Proceedings of the International Joint Conference on Neural Networks, 2023

Trapdoor Normalization with Irreversible Ownership Verification.

Hanwen Liu, Zhenyu Weng, Yuesheng Zhu, Yadong Mu

Proceedings of the International Conference on Machine Learning, 2023

FDRS: Federated Diversified Recommender System Based on Heterogeneous Graph Convolutional Network.

Nianzhe Li, Hanwen Liu, Shunmei Meng, Qianmu Li

Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023

2022

Self-labelled encoder-decoder (SLED) for multi-echo gradient echo-based myelin water imaging.

Hanwen Liu, Vladimir Grouza, Marius Tuznik, Katherine A. Siminovitch, Hooman Bagheri, Alan Peterson, David A. Rudko

NeuroImage, 2022

Locality-Sensitive Hashing-Based Link Prediction Process on Smart Campus Education or Online Social Platform.

Hanwen Liu, Shunmei Meng, Jun Hou, Shuo Wang, Qianmu Li, Chanying Huang

J. Circuits Syst. Comput., 2022

Natural Language-Based Automatic Programming for Industrial Robots.

Haiyang Hu, Jie Chen, Hanwen Liu, Zhongjin Li, Liguo Huang

J. Grid Comput., 2022

Parental Expectation and Mobile Phone Addiction in Adolescents from Chinese Low-Income Families: The Mediating Effects of Self-Esteem and Social Anxiety.

Chen Bai, Xiaomeng Chen, Hanwen Liu, Kun Yu

Cyberpsychology Behav. Soc. Netw., 2022

Temporal-Sequential Learning with Columnar-Structured Spiking Neural Networks.

Xiaoling Luo, Hanwen Liu, Yi Chen, Malu Zhang, Hong Qu

Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021

Anchor-Based Spatio-Temporal Attention 3-D Convolutional Networks for Dynamic 3-D Point Cloud Sequences.

Guangming Wang, Hanwen Liu, Muyao Chen, Yehui Yang, Zhe Liu, Hesheng Wang

IEEE Trans. Instrum. Meas., 2021

Multi-Grid Back-Projection Networks.

Pablo Navarrete Michelini, Wenbin Chen, Hanwen Liu, Dan Zhu, Xingqun Jiang

IEEE J. Sel. Top. Signal Process., 2021

Building trust/distrust relationships on signed social service network through privacy-aware link prediction process.

Huaizhen Kou, Hanwen Liu, Yucong Duan, Wenwen Gong, Yanwei Xu, Xiaolong Xu, Lianyong Qi

Appl. Soft Comput., 2021

Watermarking Deep Neural Networks with Greedy Residuals.

Hanwen Liu, Zhenyu Weng, Yuesheng Zhu

Proceedings of the 38th International Conference on Machine Learning, 2021

Back-Projection Pipeline.

Pablo Navarrete Michelini, Hanwen Liu, Yunhua Lu, Xingqun Jiang

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Representation and Extraction of Diesel Engine Maintenance Knowledge Graph with Bidirectional Relations Based on BERT and the Bi-LSTM-CRF Model.

Yihong Jin, Guanshujie Fu, Liyang Qian, Hanwen Liu, Hongwei Wang

Proceedings of the IEEE International Conference on e-Business Engineering, 2021

2020

Myelin water imaging data analysis in less than one minute.

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

NeuroImage, 2020

Anchor-Based Spatial-Temporal Attention Convolutional Networks for Dynamic 3D Point Cloud Sequences.

Guangming Wang, Hanwen Liu, Muyao Chen, Yehui Yang, Zhe Liu, Hesheng Wang

CoRR, 2020

Keywords-Driven and Popularity-Aware Paper Recommendation Based on Undirected Paper Citation Graph.

Hanwen Liu, Huaizhen Kou, Chao Yan, Lianyong Qi

Complex., 2020

Fuzzy Keywords-Driven Public Sports Resource Allocation Strategies Retrieval With Privacy-Preservation.

Yong Sang, Qiyun Zhang, Kuilin Zhang, Dongxing Wang, Qunying Yuan, Hanwen Liu

IEEE Access, 2020

A Malware Detection Method for Health Sensor Data Based on Machine Learning.

Hanwen Liu, Xiaohan Helu, Chengjie Jin, Hui Lu, Zhihong Tian, Xiaojiang Du, Khalid Abualsaud

Proceedings of the IEEE International Conference on Informatics, 2020

Analysis of Low-Carbon Logistics Transportation Method Based on the Perspective of Low-Carbon Economy.

Hanwen Liu

Proceedings of the Cyber Security Intelligence and Analytics, 2020

2019

Robust and Privacy-Preserving Service Recommendation over Sparse Data in Education.

Xuening Chen, Hanwen Liu, Yanwei Xu, Chao Yan

Wirel. Commun. Mob. Comput., 2019

A privacy-preserving exception handling approach for dynamic mobile crowdsourcing applications.

Yanwei Xu, Hanwen Liu, Chao Yan

EURASIP J. Wirel. Commun. Netw., 2019

Link prediction in paper citation network to construct paper correlation graph.

Hanwen Liu, Huaizhen Kou, Chao Yan, Lianyong Qi

EURASIP J. Wirel. Commun. Netw., 2019

Improved LSH for privacy-aware and robust recommender system with sparse data in edge environment.

Xuening Chen, Hanwen Liu, Dan Yang

EURASIP J. Wirel. Commun. Netw., 2019

Experimental Investigation on the Effects of Ambient Freeze-Thaw Cycling on Creep Mechanical Properties of Sandstone Under Step Loading.

Jielin Li, Longyin Zhu, Keping Zhou, Shangpeng Cao, Hanwen Liu

IEEE Access, 2019

Combining time, keywords and authors information to construct papers correlation graph (S).

Hanwen Liu, Huaizhen Kou, Xiaoxiao Chi, Lianyong Qi

Proceedings of the 31st International Conference on Software Engineering and Knowledge Engineering, 2019

Fast Image Enhancement Based on Maximum and Guided Filters.

Dan Zhu, Guannan Chen, Pablo Navarrete Michelini, Hanwen Liu

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Understanding Convolutional Networks Using Linear Interpreters - Extended Abstract.

Pablo Navarrete Michelini, Hanwen Liu, Yunhua Lu, Xingqun Jiang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

MGBPv2: Scaling Up Multi-Grid Back-Projection Networks.

Pablo Navarrete Michelini, Wenbin Chen, Hanwen Liu, Dan Zhu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and Results.

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

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

A Tour of Convolutional Networks Guided by Linear Interpreters.

Pablo Navarrete Michelini, Hanwen Liu, Yunhua Lu, Xingqun Jiang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

NTIRE 2019 Challenge on Image Enhancement: Methods and Results.

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results.

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

NTIRE 2019 Image Dehazing Challenge Report.

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Multigrid Backprojection Super-Resolution and Deep Filter Visualization.

Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Artsy-GAN: A style transfer system with improved quality, diversity and performance.

Hanwen Liu, Pablo Navarrete Michelini, Dan Zhu

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Multi-scale Recursive and Perception-Distortion Controllable Image Super-Resolution.

Pablo Navarrete Michelini, Dan Zhu, Hanwen Liu

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Deep Networks for Image-to-Image Translation with Mux and Demux Layers.

Hanwen Liu, Pablo Navarrete Michelini, Dan Zhu

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report.

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

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017

Convolutional Networks with MuxOut Layers as Multi-rate Systems for Image Upscaling.

Pablo Navarrete Michelini, Hanwen Liu

CoRR, 2017

2016

Dynamic occupational risk model for offshore operations in harsh environments.

Guozheng Song, Faisal Khan, Hangzhou Wang, Shelly Leighton, Zhi Yuan, Hanwen Liu

Reliab. Eng. Syst. Saf., 2016