Qinkai Zheng

According to our database, Qinkai Zheng authored at least 16 papers between 2019 and 2024.

Collaborative distances:

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

2024

An Efficient Preprocessing-Based Approach to Mitigate Advanced Adversarial Attacks.

Han Qiu, Yi Zeng, Qinkai Zheng, Shangwei Guo, Tianwei Zhang, Hewu Li

IEEE Trans. Computers, March, 2024

2023

OctoPack: Instruction Tuning Code Large Language Models.

Niklas Muennighoff, Qian Liu, Armel Zebaze, Qinkai Zheng, Binyuan Hui, Terry Yue Zhuo, Swayam Singh, Xiangru Tang, Leandro von Werra, Shayne Longpre

CoRR, 2023

CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Evaluations on HumanEval-X.

Qinkai Zheng, Xiao Xia, Xu Zou, Yuxiao Dong, Shan Wang, Yufei Xue, Zihan Wang, Lei Shen, Andi Wang, Yang Li, Teng Su, Zhilin Yang, Jie Tang

CoRR, 2023

CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X.

Qinkai Zheng, Xiao Xia, Xu Zou, Yuxiao Dong, Shan Wang, Yufei Xue, Lei Shen, Zihan Wang, Andi Wang, Yang Li, Teng Su, Zhilin Yang, Jie Tang

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

GIPA: A General Information Propagation Algorithm for Graph Learning.

Houyi Li, Zhihong Chen, Zhao Li, Qinkai Zheng, Peng Zhang, Shuigeng Zhou

Proceedings of the Database Systems for Advanced Applications, 2023

2022

On the distribution alignment of propagation in graph neural networks.

Qinkai Zheng, Xiao Xia, Kun Zhang, Evgeny Kharlamov, Yuxiao Dong

AI Open, January, 2022

2021

Topological Graph Convolutional Network-Based Urban Traffic Flow and Density Prediction.

Han Qiu, Qinkai Zheng, Mounira Msahli, Gérard Memmi, Meikang Qiu, Jialiang Lu

IEEE Trans. Intell. Transp. Syst., 2021

Deep Residual Learning-Based Enhanced JPEG Compression in the Internet of Things.

Han Qiu, Qinkai Zheng, Gérard Memmi, Jialiang Lu, Meikang Qiu, Bhavani Thuraisingham

IEEE Trans. Ind. Informatics, 2021

Toward Secure and Efficient Deep Learning Inference in Dependable IoT Systems.

Han Qiu, Qinkai Zheng, Tianwei Zhang, Meikang Qiu, Gérard Memmi, Jialiang Lu

IEEE Internet Things J., 2021

GIPA: General Information Propagation Algorithm for Graph Learning.

Qinkai Zheng, Houyi Li, Peng Zhang, Zhixiong Yang, Guowei Zhang, Xintan Zeng, Yongchao Liu

CoRR, 2021

Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning.

Qinkai Zheng, Xu Zou, Yuxiao Dong, Yukuo Cen, Da Yin, Jiarong Xu, Yang Yang, Jie Tang

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

TDGIA: Effective Injection Attacks on Graph Neural Networks.

Xu Zou, Qinkai Zheng, Yuxiao Dong, Xinyu Guan, Evgeny Kharlamov, Jialiang Lu, Jie Tang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Mitigating Advanced Adversarial Attacks with More Advanced Gradient Obfuscation Techniques.

Han Qiu, Yi Zeng, Qinkai Zheng, Tianwei Zhang, Meikang Qiu, Gérard Memmi

CoRR, 2020

Investigating Image Applications Based on Spatial-Frequency Transform and Deep Learning Techniques.

Qinkai Zheng, Han Qiu, Gérard Memmi, Isabelle Bloch

CoRR, 2020

Resisting Adversarial Examples via Wavelet Extension and Denoising.

Qinkai Zheng, Han Qiu, Tianwei Zhang, Gérard Memmi, Meikang Qiu, Jialiang Lu

Proceedings of the Smart Computing and Communication - 5th International Conference, 2020

2019

DC Coefficients Recovery from AC Coefficients in the JPEG Compression Scenario.

Han Qiu, Qinkai Zheng, Meikang Qiu, Gérard Memmi

Proceedings of the Smart Computing and Communication - 4th International Conference, 2019