Qinkai Zheng

Orcid: 0000-0002-5391-9446

According to our database1, Qinkai Zheng authored at least 21 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
An Efficient Preprocessing-Based Approach to Mitigate Advanced Adversarial Attacks.
IEEE Trans. Computers, March, 2024

VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents.
CoRR, 2024

ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.
CoRR, 2024

NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Prompts.
CoRR, 2024

ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback.
CoRR, 2024

OctoPack: Instruction Tuning Code Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Queries.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Evaluations on HumanEval-X.
CoRR, 2023

CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

GIPA: A General Information Propagation Algorithm for Graph Learning.
Proceedings of the Database Systems for Advanced Applications, 2023

2022
On the distribution alignment of propagation in graph neural networks.
AI Open, January, 2022

2021
Topological Graph Convolutional Network-Based Urban Traffic Flow and Density Prediction.
IEEE Trans. Intell. Transp. Syst., 2021

Deep Residual Learning-Based Enhanced JPEG Compression in the Internet of Things.
IEEE Trans. Ind. Informatics, 2021

Toward Secure and Efficient Deep Learning Inference in Dependable IoT Systems.
IEEE Internet Things J., 2021

GIPA: General Information Propagation Algorithm for Graph Learning.
CoRR, 2021

Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

TDGIA: Effective Injection Attacks on Graph Neural Networks.
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.
CoRR, 2020

Investigating Image Applications Based on Spatial-Frequency Transform and Deep Learning Techniques.
CoRR, 2020

Resisting Adversarial Examples via Wavelet Extension and Denoising.
Proceedings of the Smart Computing and Communication - 5th International Conference, 2020

2019
DC Coefficients Recovery from AC Coefficients in the JPEG Compression Scenario.
Proceedings of the Smart Computing and Communication - 4th International Conference, 2019


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