Lin, Haonan

10 publications

NeurIPS 2025 Boosting Knowledge Utilization in Multimodal Large Language Models via Adaptive Logits Fusion and Attention Reallocation Wenbin An, Jiahao Nie, Feng Tian, Haonan Lin, Mingxiang Cai, Yaqiang Wu, QianYing Wang, Xiaoqin Zhang, Shijian Lu

ICLR 2025 Manifold Constraint Reduces Exposure Bias in Accelerated Diffusion Sampling Yuzhe Yao, Jun Chen, Zeyi Huang, Haonan Lin, Mengmeng Wang, Guang Dai, Jingdong Wang

CVPR 2025 Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention Wenbin An, Feng Tian, Sicong Leng, Jiahao Nie, Haonan Lin, Qianying Wang, Ping Chen, Xiaoqin Zhang, Shijian Lu

AAAI 2025 SpotActor: Training-Free Layout-Controlled Consistent Image Generation Jiahao Wang, Caixia Yan, Weizhan Zhang, Haonan Lin, Mengmeng Wang, Guang Dai, Tieliang Gong, Hao Sun, Jingdong Wang

AAAI 2025 Unleashing the Potential of Model Bias for Generalized Category Discovery Wenbin An, Haonan Lin, Jiahao Nie, Feng Tian, Wenkai Shi, Yaqiang Wu, Qianying Wang, Ping Chen

CVPR 2024 DreamSalon: A Staged Diffusion Framework for Preserving Identity-Context in Editable Face Generation Haonan Lin

NeurIPS 2024 Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery Haonan Lin, Wenbin An, Jiahao Wang, Yan Chen, Feng Tian, Mengmeng Wang, Guang Dai, Qianying Wang, Jingdong Wang

NeurIPS 2024 OneActor: Consistent Subject Generation via Cluster-Conditioned Guidance Jiahao Wang, Caixia Yan, Haonan Lin, Weizhan Zhang, Mengmeng Wang, Tieliang Gong, Guang Dai, Hao Sun

NeurIPS 2024 Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing Haonan Lin, Yan Chen, Jiahao Wang, Wenbin An, Mengmeng Wang, Feng Tian, Yong Liu, Guang Dai, Jingdong Wang, Qianying Wang

ECCV 2024 Timestep-Aware Correction for Quantized Diffusion Models Yuzhe Yao, Feng Tian, Jun Chen, Haonan Lin, Guang Dai, Yong Liu, Jingdong Wang