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2020 – today
- 2025
[c5]Luoqian Jiang, Yong Guo, Bingna Xu, Haolin Pan, Jiezhang Cao, Wenbo Li, Jian Chen:
Restabilizing Diffusion Models with Predictive Noise Fusion Strategy for Image Super-Resolution. AAAI 2025: 4021-4029- [c4]Haolin Pan
, Yuanyu Wei, Mingjie Xing, Yanjun Wu, Chen Zhao:
Towards Efficient Compiler Auto-tuning: Leveraging Synergistic Search Spaces. CGO 2025: 614-627 - [c3]Yong Guo, Shulian Zhang, Haolin Pan, Jing Liu, Yulun Zhang, Jian Chen:
Gap Preserving Distillation by Building Bidirectional Mappings with A Dynamic Teacher. ICLR 2025 - [c2]Haolin Pan, Yin Zhang, Mingjie Xing, Yanjun Wu:
Navigating the SIMD Optimization Maze: A Reinforcement Learning Approach to Library and Compiler Co-Optimization. SEKE 2025: 253-258 - [i12]Haolin Pan, Hongyu Lin, Haoran Luo, Yang Liu, Kaichun Yao, Libo Zhang, Mingjie Xing, Yanjun Wu:
Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning. CoRR abs/2506.15701 (2025) - [i11]Chao Zha, Haolin Pan, Bing Bai, Jiangxing Wu, Ruyun Zhang:
FlowXpert: Context-Aware Flow Embedding for Enhanced Traffic Detection in IoT Network. CoRR abs/2509.20861 (2025) - [i10]Hongyu Lin, Haolin Pan, Haoran Luo, Yuchen Li, Kaichun Yao, Libo Zhang, Mingjie Xing, Yanjun Wu:
AwareCompiler: Agentic Context-Aware Compiler Optimization via a Synergistic Knowledge-Data Driven Framework. CoRR abs/2510.11759 (2025) - [i9]Haolin Pan, Jinyuan Dong, Hongbin Zhang, Hongyu Lin, Mingjie Xing, Yanjun Wu:
Behavioral Embeddings of Programs: A Quasi-Dynamic Approach for Optimization Prediction. CoRR abs/2510.13158 (2025) - [i8]Haolin Pan, Chao Zha, Jinyuan Dong, Mingjie Xing, Yanjun Wu:
GRACE: Globally-Seeded Representation-Aware Cluster-Specific Evolution for Compiler Auto-Tuning. CoRR abs/2510.13176 (2025) - [i7]Haolin Pan, Jinyuan Dong, Mingjie Xing, Yanjun Wu:
Synergy-Guided Compiler Auto-Tuning of Nested LLVM Pass Pipelines. CoRR abs/2510.13184 (2025) - [i6]Haolin Pan, Hongbin Zhang, Mingjie Xing, Yanjun Wu:
A Hybrid, Knowledge-Guided Evolutionary Framework for Personalized Compiler Auto-Tuning. CoRR abs/2510.14292 (2025) - 2024
- [j3]Qinyi Deng, Yong Guo, Zhibang Yang, Haolin Pan, Jian Chen:
Boosting semi-supervised learning with Contrastive Complementary Labeling. Neural Networks 170: 417-426 (2024) - [j2]Haolin Pan, Yong Guo, Mianjie Yu, Jian Chen:
Enhanced Long-Tailed Recognition With Contrastive CutMix Augmentation. IEEE Trans. Image Process. 33: 4215-4230 (2024) - [i5]Haolin Pan, Yong Guo, Mianjie Yu, Jian Chen:
Enhanced Long-Tailed Recognition with Contrastive CutMix Augmentation. CoRR abs/2407.04911 (2024) - [i4]Yong Guo, Shulian Zhang, Haolin Pan, Jing Liu, Yulun Zhang, Jian Chen:
Gap Preserving Distillation by Building Bidirectional Mappings with A Dynamic Teacher. CoRR abs/2410.04140 (2024) - 2023
- [j1]Haolin Pan, Yong Guo, Qinyi Deng, Haomin Yang, Jian Chen, Yiqun Chen:
Improving fine-tuning of self-supervised models with Contrastive Initialization. Neural Networks 159: 198-207 (2023) - 2022
- [i3]Minghao Gou, Haolin Pan, Haoshu Fang, Ziyuan Liu, Cewu Lu, Ping Tan:
Unseen Object 6D Pose Estimation: A Benchmark and Baselines. CoRR abs/2206.11808 (2022) - [i2]Haolin Pan, Yong Guo, Qinyi Deng, Haomin Yang, Yiqun Chen, Jian Chen:
Improving Fine-tuning of Self-supervised Models with Contrastive Initialization. CoRR abs/2208.00238 (2022) - [i1]Qinyi Deng, Yong Guo, Zhibang Yang, Haolin Pan, Jian Chen:
Boosting Semi-Supervised Learning with Contrastive Complementary Labeling. CoRR abs/2212.06643 (2022) - 2021
- [c1]Haolin Pan, Franck Hétroy-Wheeler, Julie Charlaix, David Colliaux:
Multi-scale Space-time Registration of Growing Plants. 3DV 2021: 310-319
Coauthor Index
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