Multi-scale Space-time Registration of Growing Plants. - Haolin Pan; Franck Hétroy-Wheeler; Julie Charlaix; David Colliaux (3DV, 2021)

Unseen Object 6D Pose Estimation: A Benchmark and Baselines. - Minghao Gou; Haolin Pan; Haoshu Fang; Ziyuan Liu; Cewu Lu; Ping Tan (CoRR, 2022)

Improving fine-tuning of self-supervised models with Contrastive Initialization. - Haolin Pan; Yong Guo; Qinyi Deng; Haomin Yang; Jian Chen 011; Yiqun Chen (Neural Networks, 2023)

Boosting semi-supervised learning with Contrastive Complementary Labeling. - Qinyi Deng; Yong Guo; Zhibang Yang; Haolin Pan; Jian Chen 011 (Neural Networks, 2024)

Enhanced Long-Tailed Recognition With Contrastive CutMix Augmentation. - Haolin Pan; Yong Guo; Mianjie Yu; Jian Chen 011 (IEEE Trans. Image Process., 2024)

Restabilizing Diffusion Models with Predictive Noise Fusion Strategy for Image Super-Resolution. - Luoqian Jiang; Yong Guo; Bingna Xu; Haolin Pan; Jiezhang Cao; Wenbo Li 002; Jian Chen 011 (AAAI, 2025)

Towards Efficient Compiler Auto-tuning: Leveraging Synergistic Search Spaces. - Haolin Pan; Yuanyu Wei; Mingjie Xing; Yanjun Wu; Chen Zhao (CGO, 2025)

Gap Preserving Distillation by Building Bidirectional Mappings with A Dynamic Teacher. - Yong Guo; Shulian Zhang; Haolin Pan; Jing Liu 048; Yulun Zhang 001; Jian Chen 011 (ICLR, 2025)

Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning. - Haolin Pan; Hongyu Lin; Haoran Luo; Yang Liu; Kaichun Yao; Libo Zhang 001; Mingjie Xing; Yanjun Wu (CoRR, 2025)