Dehai Zhao

According to our database, Dehai Zhao authored at least 34 papers between 2015 and 2025.

Collaborative distances:

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

2025

Bridging Solidity Evolution Gaps: An LLM-Enhanced Approach for Smart Contract Compilation Error Resolution.

Likai Ye, Mengliang Li, Dehai Zhao, Jiamou Sun, Xiaoxue Ren

CoRR, August, 2025

SHIELDA: Structured Handling of Exceptions in LLM-Driven Agentic Workflows.

Jingwen Zhou, Jieshan Chen, Qinghua Lu, Dehai Zhao, Liming Zhu

CoRR, August, 2025

Think Like an Engineer: A Neuro-Symbolic Collaboration Agent for Generative Software Requirements Elicitation and Self-Review.

Sai Zhang, Zhenchang Xing, Jieshan Chen, Dehai Zhao, Zizhong Zhu, Xiaowang Zhang, Zhiyong Feng, Xiaohong Li

CoRR, July, 2025

A Credible and Fair Federated Learning Framework Based on Blockchain.

Leiming Chen, Dehai Zhao, Liping Tao, Kai Wang, Sibo Qiao, Xingjie Zeng, Chee Wei Tan

IEEE Trans. Artif. Intell., February, 2025

Agent design pattern catalogue: A collection of architectural patterns for foundation model based agents.

Yue Liu, Sin Kit Lo, Qinghua Lu, Liming Zhu, Dehai Zhao, Xiwei Xu, Stefan Harrer, Jon Whittle

J. Syst. Softw., 2025

SeeAction: Towards Reverse Engineering How-What-Where of HCI Actions from Screencasts for UI Automation.

Dehai Zhao, Zhenchang Xing, Qinghua Lu, Xiwei Xu, Liming Zhu

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

Swiss Cheese Model for AI Safety: A Taxonomy and Reference Architecture for Multi-Layered Guardrails of Foundation Model Based Agents.

Md. Shamsujjoha, Qinghua Lu, Dehai Zhao, Liming Zhu

Proceedings of the 22nd IEEE International Conference on Software Architecture, 2025

When Prompt Engineering Meets Software Engineering: CNL-P as Natural and Robust "APIs" for Human-AI Interaction.

Zhenchang Xing, Yang Liu, Zhuo Cheng, Qing Huang, Dehai Zhao, Daniel Sun, Chenhua Liu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Privacy Meets Explainability: Managing Confidential Data and Transparency Policies in LLM-Empowered Science.

Yashothara Shanmugarasa, Shidong Pan, Ming Ding, Dehai Zhao, Thierry Rakotoarivelo

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025

2024

Automated Refactoring of Non-Idiomatic Python Code With Pythonic Idioms.

Zejun Zhang, Zhenchang Xing, Dehai Zhao, Xiwei Xu, Liming Zhu, Qinghua Lu

IEEE Trans. Software Eng., November, 2024

FedTKD: A Trustworthy Heterogeneous Federated Learning Based on Adaptive Knowledge Distillation.

Leiming Chen, Weishan Zhang, Cihao Dong, Dehai Zhao, Xingjie Zeng, Sibo Qiao, Yichang Zhu, Chee-Wei Tan

Entropy, January, 2024

An Evaluation-Driven Approach to Designing LLM Agents: Process and Architecture.

Boming Xia, Qinghua Lu, Liming Zhu, Zhenchang Xing, Dehai Zhao, Hao Zhang

CoRR, 2024

Towards AI-Safety-by-Design: A Taxonomy of Runtime Guardrails in Foundation Model based Systems.

Md. Shamsujjoha, Qinghua Lu, Dehai Zhao, Liming Zhu

CoRR, 2024

CasModaTest: A Cascaded and Model-agnostic Self-directed Framework for Unit Test Generation.

Chao Ni, Xiaoya Wang, Liushan Chen, Dehai Zhao, Zhengong Cai, Shaohua Wang, Xiaohu Yang

CoRR, 2024

Hard to Read and Understand Pythonic Idioms? DeIdiom and Explain Them in Non-Idiomatic Equivalent Code.

Zejun Zhang, Zhenchang Xing, Dehai Zhao, Qinghua Lu, Xiwei Xu, Liming Zhu

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023

Distinguishing Look-Alike Innocent and Vulnerable Code by Subtle Semantic Representation Learning and Explanation.

Chao Ni, Xin Yin, Kaiwen Yang, Dehai Zhao, Zhenchang Xing, Xin Xia

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

From Misuse to Mastery: Enhancing Code Generation with Knowledge-Driven AI Chaining.

Xiaoxue Ren, Xinyuan Ye, Dehai Zhao, Zhenchang Xing, Xiaohu Yang

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

SeeHow: Workflow Extraction from Programming Screencasts through Action-Aware Video Analytics.

Dehai Zhao, Zhenchang Xing, Xin Xia, Deheng Ye, Xiwei Xu, Liming Zhu

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Silent Vulnerable Dependency Alert Prediction with Vulnerability Key Aspect Explanation.

Jiamou Sun, Zhenchang Xing, Qinghua Lu, Xiwei Xu, Liming Zhu, Thong Hoang, Dehai Zhao

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2021

A Streaming Cloud Platform for Real-Time Video Processing on Embedded Devices.

Weishan Zhang, Haoyun Sun, Dehai Zhao, Liang Xu, Xin Liu, Huansheng Ning, Jiehan Zhou, Yi Guo, Su Yang

IEEE Trans. Cloud Comput., 2021

CNN-based Multi-model Birdcall Identification on Embedded Devices.

Shidong Pan, Dehai Zhao, Weishan Zhang

Proceedings of the IEEE International Conference on Smart Internet of Things, 2021

2020

Seenomaly: vision-based linting of GUI animation effects against design-don't guidelines.

Dehai Zhao, Zhenchang Xing, Chunyang Chen, Xiwei Xu, Liming Zhu, Guoqiang Li, Jinshui Wang

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

2019

ActionNet: vision-based workflow action recognition from programming screencasts.

Dehai Zhao, Zhenchang Xing, Chunyang Chen, Xin Xia, Guoqiang Li

Proceedings of the 41st International Conference on Software Engineering, 2019

2018

An intelligent power distribution service architecture using cloud computing and deep learning techniques.

Weishan Zhang, Gaowa Wulan, Jia Zhai, Liang Xu, Dehai Zhao, Xin Liu, Su Yang, Jiehan Zhou

J. Netw. Comput. Appl., 2018

Multi-source data fusion using deep learning for smart refrigerators.

Weishan Zhang, Yuanjie Zhang, Jia Zhai, Dehai Zhao, Liang Xu, Jiehan Zhou, Zhongwei Li, Su Yang

Comput. Ind., 2018

2017

Deep learning and SVM-based emotion recognition from Chinese speech for smart affective services.

Weishan Zhang, Dehai Zhao, Zhi Chai, Laurence T. Yang, Xin Liu, Faming Gong, Su Yang

Softw. Pract. Exp., 2017

Emotion Recognition from Chinese Speech for Smart Affective Services Using a Combination of SVM and DBN.

Lianzhang Zhu, Leiming Chen, Dehai Zhao, Jiehan Zhou, Weishan Zhang

Sensors, 2017

2016

Patching by automatically tending to hub nodes based on social trust.

Xin Liu, Yao Wang, Dehai Zhao, Weishan Zhang, Leyi Shi

Comput. Stand. Interfaces, 2016

Distributed embedded deep learning based real-time video processing.

Weishan Zhang, Dehai Zhao, Liang Xu, Zhongwei Li, Wenjuan Gong, Jiehan Zhou

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

An Empirical Study on Big Video Data Processing: Architectural Styles, Issues, and Challenges.

Weishan Zhang, Zhichao Wang, Liang Xu, Dehai Zhao, Faming Gong, Qinghua Lu

Proceedings of the International Conference on Identification, 2016

Workload Prediction for Cloud Cluster Using a Recurrent Neural Network.

Weishan Zhang, Bo Li, Dehai Zhao, Faming Gong, Qinghua Lu

Proceedings of the International Conference on Identification, 2016

Deep Learning Based Emotion Recognition from Chinese Speech.

Weishan Zhang, Dehai Zhao, Xiufeng Chen, Yuanjie Zhang

Proceedings of the Inclusive Smart Cities and Digital Health, 2016

2015

A Distributed Video Management Cloud Platform Using Hadoop.

Xin Liu, Dehai Zhao, Liang Xu, Weishan Zhang, Jijun Yin, Xiufeng Chen

IEEE Access, 2015

Food Image Recognition with Convolutional Neural Networks.

Weishan Zhang, Dehai Zhao, Wenjuan Gong, Zhongwei Li, Qinghua Lu, Su Yang

Proceedings of the 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015