Haolin Pan

According to our database, Haolin Pan authored at least 18 papers between 2021 and 2026.

Collaborative distances:

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

2026

FlowXpert: Context-Aware Flow Embedding for Enhanced Traffic Detection in IoT Network.

Chao Zha, Haolin Pan, Bing Bai, Jiangxing Wu, Ruyun Zhang

IEEE Trans. Mob. Comput., June, 2026

ECCO: Evidence-Driven Causal Reasoning for Compiler Optimization.

Haolin Pan, Lianghong Huang, Jinyuan Dong, Mingjie Xing, Yanjun Wu

CoRR, February, 2026

2025

A Hybrid, Knowledge-Guided Evolutionary Framework for Personalized Compiler Auto-Tuning.

Haolin Pan, Hongbin Zhang, Mingjie Xing, Yanjun Wu

CoRR, October, 2025

Synergy-Guided Compiler Auto-Tuning of Nested LLVM Pass Pipelines.

Haolin Pan, Jinyuan Dong, Mingjie Xing, Yanjun Wu

CoRR, October, 2025

GRACE: Globally-Seeded Representation-Aware Cluster-Specific Evolution for Compiler Auto-Tuning.

Haolin Pan, Chao Zha, Jinyuan Dong, Mingjie Xing, Yanjun Wu

CoRR, October, 2025

Behavioral Embeddings of Programs: A Quasi-Dynamic Approach for Optimization Prediction.

Haolin Pan, Jinyuan Dong, Hongbin Zhang, Hongyu Lin, Mingjie Xing, Yanjun Wu

CoRR, October, 2025

AwareCompiler: Agentic Context-Aware Compiler Optimization via a Synergistic Knowledge-Data Driven Framework.

Hongyu Lin, Haolin Pan, Haoran Luo, Yuchen Li, Kaichun Yao, Libo Zhang, Mingjie Xing, Yanjun Wu

CoRR, October, 2025

Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning.

Haolin Pan, Hongyu Lin, Haoran Luo, Yang Liu, Kaichun Yao, Libo Zhang, Mingjie Xing, Yanjun Wu

CoRR, June, 2025

Navigating the SIMD Optimization Maze: A Reinforcement Learning Approach to Library and Compiler Co-Optimization.

Haolin Pan, Yin Zhang, Mingjie Xing, Yanjun Wu

Proceedings of the 37th International Conference on Software Engineering and Knowledge Engineering, 2025

HybridSIMD: A Super C++ SIMD Library with Integrated Auto-tuning Capabilities.

Haolin Pan, Xulin Zhou, Mingjie Xing, Yanjun Wu

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

Gap Preserving Distillation by Building Bidirectional Mappings with A Dynamic Teacher.

Yong Guo, Shulian Zhang, Haolin Pan, Jing Liu, Yulun Zhang, Jian Chen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Towards Efficient Compiler Auto-tuning: Leveraging Synergistic Search Spaces.

Haolin Pan, Yuanyu Wei, Mingjie Xing, Yanjun Wu, Chen Zhao

Proceedings of the 23rd ACM/IEEE International Symposium on Code Generation and Optimization, 2025

Restabilizing Diffusion Models with Predictive Noise Fusion Strategy for Image Super-Resolution.

Luoqian Jiang, Yong Guo, Bingna Xu, Haolin Pan, Jiezhang Cao, Wenbo Li, Jian Chen

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Enhanced Long-Tailed Recognition With Contrastive CutMix Augmentation.

Haolin Pan, Yong Guo, Mianjie Yu, Jian Chen

IEEE Trans. Image Process., 2024

Boosting semi-supervised learning with Contrastive Complementary Labeling.

Qinyi Deng, Yong Guo, Zhibang Yang, Haolin Pan, Jian Chen

Neural Networks, 2024

2023

Improving fine-tuning of self-supervised models with Contrastive Initialization.

Haolin Pan, Yong Guo, Qinyi Deng, Haomin Yang, Jian Chen, Yiqun Chen

Neural Networks, February, 2023

2022

Unseen Object 6D Pose Estimation: A Benchmark and Baselines.

Minghao Gou, Haolin Pan, Haoshu Fang, Ziyuan Liu, Cewu Lu, Ping Tan

CoRR, 2022

2021

Multi-scale Space-time Registration of Growing Plants.

Haolin Pan, Franck Hétroy-Wheeler, Julie Charlaix, David Colliaux

Proceedings of the International Conference on 3D Vision, 2021