Haolin Jin

According to our database, Haolin Jin authored at least 17 papers between 2016 and 2026.

Collaborative distances:

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

2026

Can the addition of "Black Bone" sequence improve diagnosis of skull fractures after traumatic brain injury in children?

Junwei Li, Ke Jin, Xiaoming Li, Xiamei Zhuang, Yan Yin, Huiting Zhang, Hong Liu, Meitao Liu, Haolin Jin

BMC Medical Imaging, December, 2026

Are LLMs Reliable Code Reviewers? Systematic Overcorrection in Requirement Conformance Judgement.

Haolin Jin, Huaming Chen

CoRR, March, 2026

Trust in One Round: Confidence Estimation for Large Language Models via Structural Signals.

Pengyue Yang, Jiawen Wen, Haolin Jin, Linghan Huang, Huaming Chen, Ling Chen

Proceedings of the ACM Web Conference 2026, 2026

2025

Human-aligned AI Model Cards with Weighted Hierarchy Architecture.

Pengyue Yang, Haolin Jin, Qingwen Zeng, Jiawen Wen, Harry Rao, Huaming Chen

CoRR, October, 2025

DistrAttention: An Efficient and Flexible Self-Attention Mechanism on Modern GPUs.

Haolin Jin, Mengbai Xiao, Yuan Yuan, Xiao Zhang, Dongxiao Yu, Guanghui Zhang, Haoliang Wang

CoRR, July, 2025

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs.

Zhaoge Bi, Linghan Huang, Haolin Jin, Qingwen Zeng, Huaming Chen

CoRR, June, 2025

The Tower of Babel Revisited: Multilingual Jailbreak Prompts on Closed-Source Large Language Models.

Linghan Huang, Haolin Jin, Zhaoge Bi, Pengyue Yang, Peizhou Zhao, Taozhao Chen, Xiongfei Wu, Lei Ma, Huaming Chen

CoRR, May, 2025

Towards Advancing Code Generation with Large Language Models: A Research Roadmap.

Haolin Jin, Huaming Chen, Qinghua Lu, Liming Zhu

CoRR, January, 2025

Uncovering Systematic Failures of LLMs in Verifying Code Against Natural Language Specifications.

Haolin Jin, Huaming Chen

Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

AWF: Adaptive Weight Fusion for Enhanced Class Incremental Semantic Segmentation.

Zechao Sun, Shuying Piao, Haolin Jin, Chang Dong, Lin Yue, Weitong Chen, Luping Zhou

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2025

2024

AWF: Adaptive Weight Fusion for Enhanced Class Incremental Semantic Segmentation.

Zechao Sun, Haolin Jin, Weitong Chen, Luping Zhou

CoRR, 2024

From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future.

Haolin Jin, Linghan Huang, Haipeng Cai, Jun Yan, Bo Li, Huaming Chen

CoRR, 2024

RGD: Multi-LLM Based Agent Debugger via Refinement and Generation Guidance.

Haolin Jin, Zechao Sun, Huaming Chen

Proceedings of the IEEE International Conference on Agents, 2024

2020

Discovering differential features: Adversarial learning for information credibility evaluation.

Lianwei Wu, Yuan Rao, Ambreen Nazir, Haolin Jin

Inf. Sci., 2020

2019

Different Absorption from the Same Sharing: Sifted Multi-task Learning for Fake News Detection.

Lianwei Wu, Yuan Rao, Haolin Jin, Ambreen Nazir, Ling Sun

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2016

Design and implementation of a new web anti-attack method based on URL randomization.

Wei Liu, Chengrong Wu, Haolin Jin, Shiyong Zhang

Proceedings of the International Conference on Computer, 2016

STRESS: An IPv6 to IPv4 Converter for Sniffing Software.

Haolin Jin, Chengrong Wu, Shiyong Zhang

Proceedings of the International Conference on Computer, 2016