Yunchao Zhang

According to our database, Yunchao Zhang authored at least 14 papers between 2019 and 2024.

Collaborative distances:

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

2024

Enhancing Policy Gradient for Traveling Salesman Problem with Data Augmented Behavior Cloning.

Yunchao Zhang, Kewen Liao, Zhibin Liao, Longkun Guo

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

2023

Universal Prompt Tuning for Graph Neural Networks.

Taoran Fang, Yunchao Zhang, Yang Yang, Chunping Wang, Lei Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

When to Pre-Train Graph Neural Networks? From Data Generation Perspective!

Yuxuan Cao, Jiarong Xu, Carl Yang, Jiaan Wang, Yunchao Zhang, Chunping Wang, Lei Chen, Yang Yang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

A Multi-objective Task Offloading Algorithm for Heterogeneous Cloud-Edge Collaboration in IoT.

Yumeng Tian, Zhibo Liu, Kai Zhang, Zhongbo Li, Yunchao Zhang, Yongqiang Xie

Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023

2022

Navigation as the Attacker Wishes? Towards Building Byzantine-Robust Embodied Agents under Federated Learning.

Yunchao Zhang, Zonglin Di, Kaiwen Zhou, Cihang Xie, Xin Wang

CoRR, 2022

Prompt Tuning for Graph Neural Networks.

Taoran Fang, Yunchao Zhang, Yang Yang, Chunping Wang

CoRR, 2022

OGM: Online gaussian graphical models on the fly.

Sijia Yang, Haoyi Xiong, Yunchao Zhang, Yi Ling, Licheng Wang, Kaibo Xu, Zeyi Sun

Appl. Intell., 2022

Research on Information Coordination Mechanism of Multi-participants in Community-based Elderly Care by Blockchain.

Mo Hu, Yunchao Zhang, Ximeng Liu

Proceedings of the IEEE Intl. Conf. on Dependable, 2022

2021

Idle Duration Prediction for Manufacturing System Using a Gaussian Mixture Model Integrated Neural Network for Energy Efficiency Improvement.

Yunchao Zhang, Zeyi Sun, Ruwen Qin, Haoyi Xiong

IEEE Trans Autom. Sci. Eng., 2021

2020

NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results.

Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte, Michael S. Brown, Yun Cao, Zhilu Zhang, Wangmeng Zuo, Xiaoling Zhang, Jiye Liu, Wendong Chen, Changyuan Wen, Meng Liu, Shuailin Lv, Yunchao Zhang, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Xiyu Yu, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Songhyun Yu, Bumjun Park, Jechang Jeong, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Zengli Yang, Long Bao, Shuangquan Wang, Dongwoon Bai, Jungwon Lee, Youngjung Kim, Kyeongha Rho, Changyeop Shin, Sungho Kim, Pengliang Tang, Yiyun Zhao, Yuqian Zhou, Yuchen Fan, Thomas S. Huang, Zhihao Li, Nisarg A. Shah, Wei Liu, Qiong Yan, Yuzhi Zhao, Marcin Mozejko, Tomasz Latkowski, Lukasz Treszczotko, Michal Szafraniuk, Krzysztof Trojanowski, Yanhong Wu, Pablo Navarrete Michelini, Fengshuo Hu, Yunhua Lu, Sujin Kim, Wonjin Kim, Jaayeon Lee, Jang-Hwan Choi, Magauiya Zhussip, Azamat Khassenov, Jong Hyun Kim, Hwechul Cho, Priya Kansal, Sabari Nathan, Zhangyu Ye, Xiwen Lu, Yaqi Wu, Jiangxin Yang, Yanlong Cao, Siliang Tang, Yanpeng Cao, Matteo Maggioni, Ioannis Marras, Thomas Tanay, Gregory G. Slabaugh, Youliang Yan, Myungjoo Kang, Han-Soo Choi, Kyungmin Song, Shusong Xu, Xiaomu Lu, Tingniao Wang, Chunxia Lei, Bin Liu, Rajat Gupta, Vineet Kumar

CoRR, 2020

NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results.

Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte, Michael S. Brown, Yue Cao, Zhilu Zhang, Wangmeng Zuo, Xiaoling Zhang, Jiye Liu, Wendong Chen, Changyuan Wen, Meng Liu, Shuailin Lv, Yunchao Zhang, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Xiyu Yu, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Songhyun Yu, Bumjun Park, Jechang Jeong, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Zengli Yang, Long Bao, Shuangquan Wang, Dongwoon Bai, Jungwon Lee, Youngjung Kim, Kyeongha Rho, Changyeop Shin, Sungho Kim, Pengliang Tang, Yiyun Zhao, Yuqian Zhou, Yuchen Fan, Thomas S. Huang, Zhihao Li, Nisarg A. Shah, Wei Liu, Qiong Yan, Yuzhi Zhao, Marcin Mozejko, Tomasz Latkowski, Lukasz Treszczotko, Michal Szafraniuk, Krzysztof Trojanowski, Yanhong Wu, Pablo Navarrete Michelini, Fengshuo Hu, Yunhua Lu, Sujin Kim, Wonjin Kim, Jaayeon Lee, Jang-Hwan Choi, Magauiya Zhussip, Azamat Khassenov, Jong Hyun Kim, Hwechul Cho, Priya Kansal, Sabari Nathan, Zhangyu Ye, Xiwen Lu, Yaqi Wu, Jiangxin Yang, Yanlong Cao, Siliang Tang, Yanpeng Cao, Matteo Maggioni, Ioannis Marras, Thomas Tanay, Gregory G. Slabaugh, Youliang Yan, Myungjoo Kang, Han-Soo Choi, Kyungmin Song, Shusong Xu, Xiaomu Lu, Tingniao Wang, Chunxia Lei, Bin Liu, Rajat Gupta, Vineet Kumar

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

A Robust and High-performance White Blood Cell Segmentation Algorithm.

Yunchao Zhang, Ning Xu, Huiming Chen, Wong Hing Lam, Xin Zhang, Tian Qiu

Proceedings of the 5th International Conference on Computer and Communication Systems, 2020

2019

Unifying Inter-region Autocorrelation and Intra-region Structures for Spatial Embedding via Collective Adversarial Learning.

Yunchao Zhang, Yanjie Fu, Pengyang Wang, Xiaolin Li, Yu Zheng

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Beyond Geo-First Law: Learning Spatial Representations via Integrated Autocorrelations and Complementarity.

Jiadi Du, Yunchao Zhang, Pengyang Wang, Jennifer L. Leopold, Yanjie Fu

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019