Zhikang Wang

According to our database, Zhikang Wang authored at least 33 papers between 2007 and 2024.

Collaborative distances:

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

2024

Improving Cancer Survival Prediction via Graph Convolutional Neural Network Learning on Protein-Protein Interaction Networks.

Hongmin Cai, Yi Liao, Lei Zhu, Zhikang Wang, Jiangning Song

IEEE J. Biomed. Health Informatics, February, 2024

PmxPred: A data-driven approach for the identification of active polymyxin analogues against gram-negative bacteria.

Xiaoyu Wang, Nitin Patil, Fuyi Li, Zhikang Wang, Haolan Zhan, Daniel Schmidt, Philip Thompson, Yuming Guo, Cornelia B. Landersdorfer, Hsin-Hui Shen, Anton Y. Peleg, Jian Li, Jiangning Song

Comput. Biol. Medicine, January, 2024

Histo-Genomic Knowledge Distillation For Cancer Prognosis From Histopathology Whole Slide Images.

Zhikang Wang, Yumeng Zhang, Yingxue Xu, Seiya Imoto, Hao Chen, Jiangning Song

CoRR, 2024

2023

Interpretable prediction models for widespread m6A RNA modification across cell lines and tissues.

Ying Zhang, Zhikang Wang, Yiwen Zhang, Shanshan Li, Yuming Guo, Jiangning Song, Dong-Jun Yu

Bioinform., December, 2023

Spectral Dual-Channel Encoding for Image Dehazing.

Zhanchen Zhu, Daokun Zhang, Zhikang Wang, Siyuan Feng, Peibo Duan

IEEE Trans. Circuits Syst. Video Technol., November, 2023

Surformer: An interpretable pattern-perceptive survival transformer for cancer survival prediction from histopathology whole slide images.

Zhikang Wang, Qian Gao, Xiaoping Yi, Xinyu Zhang, Yiwen Zhang, Daokun Zhang, Pietro Liò, Chris Bain, Richard Bassed, Shanshan Li, Yuming Guo, Seiya Imoto, Jianhua Yao, Roger J. Daly, Jiangning Song

Comput. Methods Programs Biomed., November, 2023

MULGA, a unified multi-view graph autoencoder-based approach for identifying drug-protein interaction and drug repositioning.

Jiani Ma, Chen Li, Yiwen Zhang, Zhikang Wang, Shanshan Li, Yuming Guo, Lin Zhang, Hui Liu, Xin Gao, Jiangning Song

Bioinform., September, 2023

Guided conditional functional dependency discovery.

Sijia Jiang, Zijing Tan, Jiawei Wang, Zhikang Wang, Shuai Ma

Inf. Syst., March, 2023

Targeting tumor heterogeneity: multiplex-detection-based multiple instance learning for whole slide image classification.

Zhikang Wang, Yue Bi, Tong Pan, Xiaoyu Wang, Chris Bain, Richard Bassed, Seiya Imoto, Jianhua Yao, Roger J. Daly, Jiangning Song

Bioinform., March, 2023

PFresGO: an attention mechanism-based deep-learning approach for protein annotation by integrating gene ontology inter-relationships.

Tong Pan, Chen Li, Yue Bi, Zhikang Wang, Robin B. Gasser, Anthony W. Purcell, Tatsuya Akutsu, Geoffrey I. Webb, Seiya Imoto, Jiangning Song

Bioinform., March, 2023

2022

Robust Video-Based Person Re-Identification by Hierarchical Mining.

Zhikang Wang, Lihuo He, Xiaoguang Tu, Jian Zhao, Xinbo Gao, Shengmei Shen, Jiashi Feng

IEEE Trans. Circuits Syst. Video Technol., 2022

Image-to-Video Generation via 3D Facial Dynamics.

Xiaoguang Tu, Yingtian Zou, Jian Zhao, Wenjie Ai, Jian Dong, Yuan Yao, Zhikang Wang, Guodong Guo, Zhifeng Li, Wei Liu, Jiashi Feng

IEEE Trans. Circuits Syst. Video Technol., 2022

Control of Continuous Quantum Systems with Many Degrees of Freedom based on Convergent Reinforcement Learning.

Zhikang Wang

CoRR, 2022

Quantum Control based on Deep Reinforcement Learning.

Zhikang Wang

CoRR, 2022

Multiplex-detection Based Multiple Instance Learning Network for Whole Slide Image Classification.

Zhikang Wang, Yue Bi, Tong Pan, Xiaoyu Wang, Chris Bain, Richard Bassed, Seiya Imoto, Jianhua Yao, Jiangning Song

CoRR, 2022

Compressed sensing based dynamic MR image reconstruction by using 3D-total generalized variation and tensor decomposition: k-t TGV-TD.

Jucheng Zhang, Lulu Han, Jianzhong Sun, Zhikang Wang, Wenlong Xu, Yonghua Chu, Ling Xia, Mingfeng Jiang

BMC Medical Imaging, 2022

Clarion is a multi-label problem transformation method for identifying mRNA subcellular localizations.

Yue Bi, Fuyi Li, Xudong Guo, Zhikang Wang, Tong Pan, Yuming Guo, Geoffrey I. Webb, Jianhua Yao, Cangzhi Jia, Jiangning Song

Briefings Bioinform., 2022

Convergent and Efficient Deep Q Learning Algorithm.

Zhikang T. Wang, Masahito Ueda

Proceedings of the Tenth International Conference on Learning Representations, 2022

What Is Information? An Interpretation Based on the Theory of Modern Complexity Science.

Zhikang Wang

Proceedings of the Intelligence Science IV, 2022

Feature Erasing and Diffusion Network for Occluded Person Re-Identification.

Zhikang Wang, Feng Zhu, Shixiang Tang, Rui Zhao, Lihuo He, Jiangning Song

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Wrapped ambiguity Gaussian mixed model with applications in sparse sampling based multiple parameter estimation.

Hanshen Xiao, Nan Du, Zhikang Wang, Guoqiang Xiao

Signal Process., 2021

A Convergent and Efficient Deep Q Network Algorithm.

Zhikang T. Wang, Masahito Ueda

CoRR, 2021

Automated arrhythmia classification using depthwise separable convolutional neural network with focal loss.

Yi Lu, Mingfeng Jiang, Liying Wei, Jucheng Zhang, Zhikang Wang, Bo Wei, Ling Xia

Biomed. Signal Process. Control., 2021

2020

Robust Person Re-Identification through Contextual Mutual Boosting.

Zhikang Wang, Lihuo He, Xinbo Gao, Jane Shen

CoRR, 2020

LaProp: a Better Way to Combine Momentum with Adaptive Gradient.

Ziyin Liu, Zhikang Wang, Masahito Ueda

CoRR, 2020

Research on Named Entity Recognition of Doctor-Patient Question Answering Community Based on BiLSTM-CRF Model.

Zhikang Wang, Hua Guan

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Deep Reinforcement Learning Control of Quantum Cartpoles.

Zhikang Wang, Yuto Ashida, Masahito Ueda

CoRR, 2019

Deep Gamblers: Learning to Abstain with Portfolio Theory.

Ziyin Liu, Zhikang Wang, Paul Pu Liang, Ruslan Salakhutdinov, Louis-Philippe Morency, Masahito Ueda

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results.

Dawei Du, Yue Zhang, Zexin Wang, Zhikang Wang, Zichen Song, Ziming Liu, Liefeng Bo, Hailin Shi, Rui Zhu, Aashish Kumar, Aijin Li, Almaz Zinollayev, Anuar Askergaliyev, Arne Schumann, Binjie Mao, Pengfei Zhu, Byeongwon Lee, Chang Liu, Changrui Chen, Chunhong Pan, Chunlei Huo, Da Yu, Dechun Cong, Dening Zeng, Dheeraj Reddy Pailla, Di Li, Longyin Wen, Dong Wang, Donghyeon Cho, Dongyu Zhang, Furui Bai, George Jose, Guangyu Gao, Guizhong Liu, Haitao Xiong, Hao Qi, Haoran Wang, Xiao Bian, Heqian Qiu, Hongliang Li, Huchuan Lu, Ildoo Kim, Jaekyum Kim, Jane Shen, Jihoon Lee, Jing Ge, Jingjing Xu, Jingkai Zhou, Haibin Ling, Jonas Meier, Jun Won Choi, Junhao Hu, Junyi Zhang, Junying Huang, Kaiqi Huang, Keyang Wang, Lars Sommer, Lei Jin, Lei Zhang, Qinghua Hu, Lianghua Huang, Lin Sun, Lucas Steinmann, Meixia Jia, Nuo Xu, Pengyi Zhang, Qiang Chen, Qingxuan Lv, Qiong Liu, Qishang Cheng, Tao Peng, Sai Saketh Chennamsetty, Shuhao Chen, Shuo Wei, Srinivas S. S. Kruthiventi, Sungeun Hong, Sungil Kang, Tong Wu, Tuo Feng, Varghese Alex Kollerathu, Wanqi Li, Jiayu Zheng, Wei Dai, Weida Qin, Weiyang Wang, Xiaorui Wang, Xiaoyu Chen, Xin Chen, Xin Sun, Xin Zhang, Xin Zhao, Xindi Zhang, Xinyao Wang, Xinyu Zhang, Xuankun Chen, Xudong Wei, Xuzhang Zhang, Yanchao Li, Yifu Chen, Yu Heng Toh, Yu Zhang, Yu Zhu, Yunxin Zhong

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

Multi-scale Spatial-temporal Network for Person Re-identification.

Zhikang Wang, Lihuo He, Xinbo Gao, Yuanfei Huang

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Statistical Robust Chinese Remainder Theorem for Multiple Numbers: Wrapped Gaussian Mixture Model.

Nan Du, Zhikang Wang, Hanshen Xiao

CoRR, 2018

2017

Grasp quality evaluation and planning for objects with negative curvature.

Shuo Liu, Zhe Hu, Hao Zhang, Mingu Kwon, Zhikang Wang, Yi Xu, Stefano Carpin

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2007

Model-Based Reasoning and Diagnosis in Traditional Chinese Medicine (TCM).

Zhikang Wang

Proceedings of the Model-Based Reasoning in Science, Technology, and Medicine, 2007