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2020 – today
- 2024
[j36]Zhihong Chen
, Lisha Yao, Yanfen Cui, Yunlin Zheng, Suyun Li, Xiaorui Han, Xuewei Kang, Wenbin Liu, Xin Chen, Chu Han, Zaiyi Liu, Bingjiang Qiu, Gang Fang:
ALIEN: Attention-guided cross-resolution collaborative network for 3D gastric cancer segmentation in CT images. Biomed. Signal Process. Control. 96: 106500 (2024)- [j35]Zhihe Zhao, Siyao Du, Zeyan Xu, Zhi Yin, Xiaomei Huang, Xin Huang, Chinting Wong, Yanting Liang, Jing Shen, Jianlin Wu, Jinrong Qu, Lina Zhang, Yanfen Cui, Ying Wang, Leonard Wee, Andre Dekker, Chu Han, Zaiyi Liu, Zhenwei Shi, Changhong Liang:
SwinHR: Hemodynamic-powered hierarchical vision transformer for breast tumor segmentation. Comput. Biol. Medicine 169: 107939 (2024) - [j34]Dan Wang, Chu Han, Zhen Zhang, Tiantian Zhai, Huan Lin, Baoyao Yang, Yanfen Cui, Yinbing Lin, Zhihe Zhao, Lujun Zhao, Changhong Liang, An Zeng, Dan Pan, Xin Chen, Zhenwei Shi, Zaiyi Liu:
FedDUS: Lung tumor segmentation on CT images through federated semi-supervised with dynamic update strategy. Comput. Methods Programs Biomed. 249: 108141 (2024) - [j33]Lei Hu, Dawei Zhou, Jiahua Xu, Cheng Lu, Chu Han, Zhenwei Shi, Qikui Zhu, Xinbo Gao, Nannan Wang, Zaiyi Liu:
Protecting Prostate Cancer Classification From Rectal Artifacts via Targeted Adversarial Training. IEEE J. Biomed. Health Informatics 28(7): 3997-4009 (2024) - [c12]Hongjiang Wu, Yuping Zhong, Guoqiang Han, Jiatai Lin, Zaiyi Liu, Chu Han:
DBrAL: A Novel Uncertainty-Based Active Learning Based on Deep-Broad Learning for Medical Image Classification. ICANN (8) 2024: 260-273 - [i14]Fengtao Zhou, Yingxue Xu, Yanfen Cui, Shenyan Zhang, Yun Zhu, Weiyang He, Jiguang Wang, Xin Wang, Ronald Chan, Louis Ho Shing Lau, Chu Han, Dafu Zhang, Zhenhui Li, Hao Chen:
iMD4GC: Incomplete Multimodal Data Integration to Advance Precise Treatment Response Prediction and Survival Analysis for Gastric Cancer. CoRR abs/2404.01192 (2024) - 2023
- [j32]Zhengyun Feng, Huan Lin, Zaiyi Liu, Lixu Yan, Yumeng Wang, Bingbing Li, Entao Liu, Chu Han, Zhenwei Shi, Cheng Lu, Zhenbing Liu, Cheng Pang, Zhenhui Li, Yanfen Cui, Xipeng Pan, Xin Chen:
Artificial intelligence-quantified tumour-lymphocyte spatial interaction predicts disease-free survival in resected lung adenocarcinoma: A graph-based, multicentre study. Comput. Methods Programs Biomed. 238: 107617 (2023) - [j31]Rian Huang, Zeyan Xu, Yu Xie, Hong Wu, Zixian Li, Yanfen Cui, Yingwen Huo, Chu Han, Xiaotang Yang, Zaiyi Liu, Yi Wang:
Joint-phase attention network for breast cancer segmentation in DCE-MRI. Expert Syst. Appl. 224: 119962 (2023) - [j30]Xipeng Pan, Jijun Cheng, Feihu Hou, Rushi Lan, Cheng Lu, Lingqiao Li, Zhengyun Feng, Huadeng Wang, Changhong Liang, Zhenbing Liu, Xin Chen, Chu Han, Zaiyi Liu:
SMILE: Cost-sensitive multi-task learning for nuclear segmentation and classification with imbalanced annotations. Medical Image Anal. 88: 102867 (2023) - [j29]Jiadong Zhang, Zhiming Cui, Zhenwei Shi, Yingjia Jiang, Zhiliang Zhang, Xiaoting Dai, Zhenlu Yang, Yuning Gu, Lei Zhou, Chu Han, Xiaomei Huang, Chenglu Ke, Suyun Li, Zeyan Xu, Fei Gao, Luping Zhou, Rongpin Wang, Jun Liu, Jiayin Zhang, Zhongxiang Ding, Kun Sun, Zhenhui Li, Zaiyi Liu, Dinggang Shen:
A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework. Patterns 4(9): 100826 (2023) - [j28]Yuhao Mo, Chu Han, Yu Liu, Min Liu, Zhenwei Shi, Jiatai Lin, Bingchao Zhao, Chunwang Huang, Bingjiang Qiu, Yanfen Cui, Lei Wu, Xipeng Pan, Zeyan Xu, Xiaomei Huang, Zhenhui Li, Zaiyi Liu, Ying Wang, Changhong Liang:
HoVer-Trans: Anatomy-Aware HoVer-Transformer for ROI-Free Breast Cancer Diagnosis in Ultrasound Images. IEEE Trans. Medical Imaging 42(6): 1696-1706 (2023) - [j27]Jianwei Lin, Jiatai Lin, Cheng Lu, Hao Chen, Huan Lin, Bingchao Zhao, Zhenwei Shi, Bingjiang Qiu, Xipeng Pan, Zeyan Xu, Biao Huang, Changhong Liang, Guoqiang Han, Zaiyi Liu, Chu Han:
CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer With Modality-Correlated Cross-Attention for Brain Tumor Segmentation. IEEE Trans. Medical Imaging 42(8): 2451-2461 (2023) - [c11]Zihan Cao, Zhenwei Shi, Xiaomei Huang, Chu Han, Xinyu Dong, Zhihe Zhao, Dan Wang, Peng Xu, Zaiyi Liu, Wenbin Liu:
DBL-MPE: Deep Broad Learning for Prediction of Response to Neo-adjuvant Chemotherapy Using MRI-Based Multi-angle Maximal Enhancement Projection in Breast Cancer. ICIC (3) 2023: 300-311 - [c10]Xinyu Dong, Zhenwei Shi, Xiaomei Huang, Chu Han, Zihan Cao, Zhihe Zhao, Dan Wang, Peng Xu, Zaiyi Liu, Wenbin Liu:
Fed-CSA: Channel Spatial Attention and Adaptive Weights Aggregation-Based Federated Learning for Breast Tumor Segmentation on MRI. ICIC (3) 2023: 312-323 - [c9]Xuewei Kang, Bingjiang Qiu, Lisha Yao, Zhihong Chen, Chu Han, Zaiyi Liu:
MsNet: Multi-stage Learning from Seldom Labeled Data for 3D Tooth Segmentation in Dental Cone Beam Computed Tomography. SemiToothSeg@MICCAI 2023: 72-82 - [c8]Wenao Ma, Cheng Chen, Jill M. Abrigo, Calvin Hoi-Kwan Mak, Yuqi Gong, Nga Yan Chan, Chu Han, Zaiyi Liu, Qi Dou:
Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data. MICCAI (5) 2023: 715-725 - [i13]Tianpeng Deng, Yanqi Huang, Zhenwei Shi, Jiatai Lin, Qi Dou, Ke Zhao, Fang-Fang Liu, Yu-Mian Jia, Jin Wang, Bingchao Zhao, Changhong Liang, Zaiyi Liu, Xiao-jing Guo, Guoqiang Han, Xin Chen, Chu Han:
FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification. CoRR abs/2302.12662 (2023) - [i12]Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, Dagmar Kainmueller, Carola-Bibiane Schönlieb, Shuolin Liu, Dhairya Talsania, Yughender Meda, Prakash Mishra, Muhammad Ridzuan, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Banban Huang, Hsiang-Chin Chien, Ching-Ping Wang, Chia-Yen Lee, Hong-Kun Lin, Zaiyi Liu, Xipeng Pan, Chu Han, Jijun Cheng, Muhammad Dawood, Srijay Deshpande, Raja Muhammad Saad Bashir, Adam Shephard, Pedro Costa, João D. Nunes, Aurélio Campilho, Jaime S. Cardoso, Hrishikesh P. S, Densen Puthussery, Devika R. G, Jiji C V, Ye Zhang, Zijie Fang, Zhifan Lin, Yongbing Zhang, Chunhui Lin, Liukun Zhang, Lijian Mao, Min Wu, Thi Tuong Vi Vo, Soo-Hyung Kim, Taebum Lee, Satoshi Kondo, Satoshi Kasai, Pranay Dumbhare, Vedant Phuse, Yash Dubey, Ankush Jamthikar, Trinh Thi Le Vuong, Jin Tae Kwak, Dorsa Ziaei, Hyun Jung, Tianyi Miao, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot:
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR abs/2303.06274 (2023) - [i11]Hao Wang, Jiatai Lin, Danyi Li, Jing Wang, Bingchao Zhao, Zhenwei Shi, Xipeng Pan, Huadeng Wang, Bingbing Li, Changhong Liang, Guoqiang Han, Li Liang, Chu Han, Zaiyi Liu:
Rethinking Mitosis Detection: Towards Diverse Data and Feature Representation. CoRR abs/2307.05889 (2023) - [i10]Wenao Ma, Cheng Chen, Jill M. Abrigo, Calvin Hoi-Kwan Mak, Yuqi Gong, Nga Yan Chan, Chu Han, Zaiyi Liu, Qi Dou:
Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data. CoRR abs/2307.12858 (2023) - [i9]Jiatai Lin, Guoqiang Han, Xuemiao Xu, Changhong Liang, Tien-Tsin Wong, C. L. Philip Chen, Zaiyi Liu, Chu Han:
BroadCAM: Outcome-agnostic Class Activation Mapping for Small-scale Weakly Supervised Applications. CoRR abs/2309.03509 (2023) - 2022
- [j26]Bingchao Zhao, Chu Han, Xipeng Pan, Jiatai Lin, Zongjian Yi, Changhong Liang, Xin Chen, Bingbing Li, Weihao Qiu, Danyi Li, Li Liang, Ying Wang, Zaiyi Liu:
RestainNet: A self-supervised digital re-stainer for stain normalization. Comput. Electr. Eng. 103: 108304 (2022) - [j25]Guihua Tao, Haojiang Li, Jiabin Huang, Chu Han, Jiazhou Chen, Guangying Ruan, Wenjie Huang, Yu Hu, Tingting Dan, Bin Zhang, Shengfeng He, Lizhi Liu, Hongmin Cai:
SeqSeg: A sequential method to achieve nasopharyngeal carcinoma segmentation free from background dominance. Medical Image Anal. 78: 102381 (2022) - [j24]Chu Han, Huasheng Yao, Bingchao Zhao, Zhenhui Li, Zhenwei Shi, Lei Wu, Xin Chen, Jinrong Qu, Ke Zhao, Rushi Lan, Changhong Liang, Xipeng Pan, Zaiyi Liu:
Meta multi-task nuclei segmentation with fewer training samples. Medical Image Anal. 80: 102481 (2022) - [j23]Chu Han, Jiatai Lin, Jinhai Mai, Yi Wang, Qingling Zhang, Bingchao Zhao, Xin Chen, Xipeng Pan, Zhenwei Shi, Zeyan Xu, Su Yao, Lixu Yan, Huan Lin, Xiaomei Huang, Changhong Liang, Guoqiang Han, Zaiyi Liu:
Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels. Medical Image Anal. 80: 102487 (2022) - [j22]Jiatai Lin, Guoqiang Han, Xipeng Pan, Zaiyi Liu, Hao Chen, Danyi Li, Xiping Jia, Zhenwei Shi, Zhizhen Wang, Yanfen Cui, Haiming Li, Changhong Liang, Li Liang, Ying Wang, Chu Han:
PDBL: Improving Histopathological Tissue Classification With Plug-and-Play Pyramidal Deep-Broad Learning. IEEE Trans. Medical Imaging 41(9): 2252-2262 (2022) - [c7]Hong Wu, Yingwen Huo, Yupeng Pan, Zeyan Xu, Rian Huang, Yu Xie, Chu Han, Zaiyi Liu, Yi Wang:
Learning Pre- and Post-contrast Representation for Breast Cancer Segmentation in DCE-MRI. CBMS 2022: 355-359 - [i8]Bingchao Zhao, Jiatai Lin, Changhong Liang, Zongjian Yi, Xin Chen, Bingbing Li, Weihao Qiu, Danyi Li, Li Liang, Chu Han, Zaiyi Liu:
RestainNet: a self-supervised digital re-stainer for stain normalization. CoRR abs/2202.13804 (2022) - [i7]Jijun Cheng, Xipeng Pan, Feihu Hou, Bingchao Zhao, Jiatai Lin, Zhenbing Liu, Zaiyi Liu, Chu Han:
A Standardized Pipeline for Colon Nuclei Identification and Counting Challenge. CoRR abs/2203.00171 (2022) - [i6]Chu Han, Xipeng Pan, Lixu Yan, Huan Lin, Bingbing Li, Su Yao, Shanshan Lv, Zhenwei Shi, Jinhai Mai, Jiatai Lin, Bingchao Zhao, Zeyan Xu, Zhizhen Wang, Yumeng Wang, Yuan Zhang, Huihui Wang, Chao Zhu, Chunhui Lin, Lijian Mao, Min Wu, Luwen Duan, Jingsong Zhu, Dong Hu, Zijie Fang, Yang Chen, Yongbing Zhang, Yi Li, Yiwen Zou, Yiduo Yu, Xiaomeng Li, Haiming Li, Yanfen Cui, Guoqiang Han, Yan Xu, Jun Xu, Huihua Yang, Chunming Li, Zhenbing Liu, Cheng Lu, Xin Chen, Changhong Liang, Qingling Zhang, Zaiyi Liu:
WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma. CoRR abs/2204.06455 (2022) - [i5]Yuhao Mo, Chu Han, Yu Liu, Min Liu, Zhenwei Shi, Jiatai Lin, Bingchao Zhao, Chunwang Huang, Bingjiang Qiu, Yanfen Cui, Lei Wu, Xipeng Pan, Zeyan Xu, Xiaomei Huang, Zaiyi Liu, Ying Wang, Changhong Liang:
HoVer-Trans: Anatomy-aware HoVer-Transformer for ROI-free Breast Cancer Diagnosis in Ultrasound Images. CoRR abs/2205.08390 (2022) - [i4]Jianwei Lin, Jiatai Lin, Cheng Lu, Hao Chen, Huan Lin, Bingchao Zhao, Zhenwei Shi, Bingjiang Qiu, Xipeng Pan, Zeyan Xu, Biao Huang, Changhong Liang, Guoqiang Han, Zaiyi Liu, Chu Han:
CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer with Modality-Correlated Cross-Attention for Brain Tumor Segmentation. CoRR abs/2207.07370 (2022) - 2021
- [j21]Weidong Zhang, Xipeng Pan, Xiwang Xie, Lingqiao Li, Zimin Wang, Chu Han:
Color correction and adaptive contrast enhancement for underwater image enhancement. Comput. Electr. Eng. 91: 106981 (2021) - [j20]Huaidong Zhang, Chu Han, Xiaodan Zhang, Yong Du, Xuemiao Xu, Guoqiang Han, Jing Qin, Shengfeng He:
Fast scene labeling via structural inference. Neurocomputing 442: 317-326 (2021) - [j19]Tingting Dan, Yu Hu, Chu Han, Zhihao Fan, Zhuobin Huang, Bin Zhang, Guihua Tao, Baoyi Liu, Honghua Yu, Hongmin Cai:
Fusion of multi-source retinal fundus images via automatic registration for clinical diagnosis. Neurocomputing 459: 370-382 (2021) - [j18]Wentao Rong, Enhong Zhuo, Hong Peng, Jiazhou Chen, Haiyan Wang, Chu Han, Hongmin Cai:
Learning a consensus affinity matrix for multi-view clustering via subspaces merging on Grassmann manifold. Inf. Sci. 547: 68-87 (2021) - [j17]Haiyan Wang, Guoqiang Han, Junyu Li, Bin Zhang, Jiazhou Chen, Yu Hu, Chu Han, Hongmin Cai:
Learning task-driving affinity matrix for accurate multi-view clustering through tensor subspace learning. Inf. Sci. 563: 290-308 (2021) - [j16]Qianshu Zhu, Chu Han, Guoqiang Han, Tien-Tsin Wong, Shengfeng He:
Video Snapshot: Single Image Motion Expansion via Invertible Motion Embedding. IEEE Trans. Pattern Anal. Mach. Intell. 43(12): 4491-4504 (2021) - [j15]Yangyang Xu, Chu Han, Jing Qin, Xuemiao Xu, Guoqiang Han, Shengfeng He:
Transductive Zero-Shot Action Recognition via Visually Connected Graph Convolutional Networks. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3761-3769 (2021) - [c6]Han Deng, Chu Han, Hongmin Cai, Guoqiang Han, Shengfeng He:
Spatially-Invariant Style-Codes Controlled Makeup Transfer. CVPR 2021: 6549-6557 - [c5]Xiangyun Zeng, Rian Huang, Yuming Zhong, Dong Sun, Chu Han, Di Lin, Dong Ni, Yi Wang:
Reciprocal Learning for Semi-supervised Segmentation. MICCAI (2) 2021: 352-361 - [i3]Chu Han, Jiatai Lin, Jinhai Mai, Yi Wang, Qingling Zhang, Bingchao Zhao, Xin Chen, Xipeng Pan, Zhenwei Shi, Xiaowei Xu, Su Yao, Lixu Yan, Huan Lin, Zeyan Xu, Xiaomei Huang, Guoqiang Han, Changhong Liang, Zaiyi Liu:
Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels. CoRR abs/2110.08048 (2021) - [i2]Jiatai Lin, Guoqiang Han, Xipeng Pan, Hao Chen, Danyi Li, Xiping Jia, Zhenwei Shi, Zhizhen Wang, Yanfen Cui, Haiming Li, Changhong Liang, Li Liang, Zaiyi Liu, Chu Han:
PDBL: Improving Histopathological Tissue Classification with Plug-and-Play Pyramidal Deep-Broad Learning. CoRR abs/2111.03063 (2021) - 2020
- [j14]Dongjiu Zhang, Chuhua Xian, Guoliang Luo, Yunhui Xiong, Chu Han:
DeepAO: Efficient Screen Space Ambient Occlusion Generation via Deep Network. IEEE Access 8: 64434-64441 (2020) - [j13]Qingxiu He, Chu Han, Guangping Li, Haiqiong Guo, Yuxuan Wang, Yong Hu, Zhihua Lin, Yuanqiang Wang:
In silico design novel (5-imidazol-2-yl-4-phenylpyrimidin-2-yl)[2-(2-pyridylamino)ethyl]amine derivatives as inhibitors for glycogen synthase kinase 3 based on 3D-QSAR, molecular docking and molecular dynamics simulation. Comput. Biol. Chem. 88: 107328 (2020) - [j12]Chufeng Xiao, Chu Han, Zhuming Zhang, Jing Qin, Tien-Tsin Wong, Guoqiang Han, Shengfeng He:
Example-Based Colourization Via Dense Encoding Pyramids. Comput. Graph. Forum 39(1): 20-33 (2020) - [j11]Bingchao Zhao, Xin Chen, Zhi Li, Zhiwen Yu, Su Yao, Lixu Yan, Yuqian Wang, Zaiyi Liu, Changhong Liang, Chu Han:
Triple U-net: Hematoxylin-aware nuclei segmentation with progressive dense feature aggregation. Medical Image Anal. 65: 101786 (2020) - [j10]Shengfeng He, Chu Han, Guoqiang Han, Jing Qin:
Exploring Duality in Visual Question-Driven Top-Down Saliency. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2672-2679 (2020) - [c4]Haiyan Wang, Guoqiang Han, Bin Zhang, Yu Hu, Hong Peng, Chu Han, Hongmin Cai:
Tensor-based Low-rank and Graph Regularized Representation Learning for Multi-view Clustering. BIBM 2020: 821-826 - [c3]Bingchao Zhao, Jia Huang, Changhong Liang, Zaiyi Liu, Chu Han:
CNN-Based Fully Automatic Glioma Classification with Multi-modal Medical Images. BrainLes@MICCAI (2) 2020: 497-507 - [c2]Sucheng Ren, Chu Han, Xin Yang, Guoqiang Han, Shengfeng He:
TENet: Triple Excitation Network for Video Salient Object Detection. ECCV (5) 2020: 212-228 - [c1]Shuquan Ye, Chu Han, Jiaying Lin, Guoqiang Han, Shengfeng He:
Coherence and Identity Learning for Arbitrary-length Face Video Generation. ICPR 2020: 915-922 - [i1]Sucheng Ren, Chu Han, Xin Yang, Guoqiang Han, Shengfeng He:
TENet: Triple Excitation Network for Video Salient Object Detection. CoRR abs/2007.09943 (2020)
2010 – 2019
- 2019
- [j9]Yi Guo, Zhuming Zhang, Chu Han, Wenbo Hu, Chengze Li, Tien-Tsin Wong:
Deep Line Drawing Vectorization via Line Subdivision and Topology Reconstruction. Comput. Graph. Forum 38(7): 81-90 (2019) - [j8]Yiliang Chen, Shengfeng He, Zichang Tan, Chu Han, Guoqiang Han, Jing Qin:
Age estimation via attribute-region association. Neurocomputing 367: 346-356 (2019) - [j7]Teng Zhou, Guoqiang Han, Xuemiao Xu, Chu Han, Yuchang Huang, Jing Qin:
A Learning-Based Multimodel Integrated Framework for Dynamic Traffic Flow Forecasting. Neural Process. Lett. 49(1): 407-430 (2019) - [j6]Zhuming Zhang, Chu Han, Shengfeng He, Xueting Liu, Haichao Zhu, Xinghong Hu, Tien-Tsin Wong:
Deep binocular tone mapping. Vis. Comput. 35(6-8): 997-1011 (2019) - 2018
- [j5]Chu Han, Xueting Liu, Lok Tsun Sinn, Tien-Tsin Wong:
TransHist: Occlusion-robust shape detection in cluttered images. Comput. Vis. Media 4(2): 161-172 (2018) - [j4]Chu Han, Qiang Wen, Shengfeng He, Qianshu Zhu, Yinjie Tan, Guoqiang Han, Tien-Tsin Wong:
Deep unsupervised pixelization. ACM Trans. Graph. 37(6): 243 (2018) - 2017
- [j3]Teng Zhou, Guoqiang Han, Xuemiao Xu, Zhizhe Lin, Chu Han, Yuchang Huang, Jing Qin:
δ-agree AdaBoost stacked autoencoder for short-term traffic flow forecasting. Neurocomputing 247: 31-38 (2017) - 2016
- [j2]Kin Chung Kwan, Lok Tsun Sinn, Chu Han, Tien-Tsin Wong, Chi-Wing Fu:
Pyramid of arclength descriptor for generating collage of shapes. ACM Trans. Graph. 35(6): 229:1-229:12 (2016) - 2011
- [j1]Mingming Shi, Bo Zhou, Jiadan Wei, Zhuoran Zhang, Yiran Mao, Chu Han:
Design and Practical Implementation of a Novel Variable-Speed Generation System. IEEE Trans. Ind. Electron. 58(11): 5032-5040 (2011)
Coauthor Index
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