Haonan Lin

According to our database, Haonan Lin authored at least 21 papers between 2020 and 2025.

Collaborative distances:

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

2025

DISCOVERSE: Efficient Robot Simulation in Complex High-Fidelity Environments.

Yufei Jia, Guangyu Wang, Yuhang Dong, Junzhe Wu, Yupei Zeng, Haonan Lin, Zifan Wang, Haizhou Ge, Weibin Gu, Kairui Ding, Zike Yan, Yunjie Cheng, Yue Li, Ziming Wang, Chuxuan Li, Wei Sui, Lu Shi, Guanzhong Tian, Ruqi Huang, Guyue Zhou

CoRR, July, 2025

FlexIP: Dynamic Control of Preservation and Personality for Customized Image Generation.

Linyan Huang, Haonan Lin, Yanning Zhou, Kaiwen Xiao

CoRR, April, 2025

Manifold Constraint Reduces Exposure Bias in Accelerated Diffusion Sampling.

Yuzhe Yao, Jun Chen, Zeyi Huang, Haonan Lin, Mengmeng Wang, Guang Dai, Jingdong Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

ArtArchitect: Adaptive Depth Correction and Outpainting for Realistic World Generation.

Yong Zhang, Henry C. B. Chan, Rufeng Duan, Haifeng Yu, Xuede Wang, Haonan Lin

Proceedings of the 49th IEEE Annual Computers, Software, and Applications Conference, 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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Early Identification of Rotten Potatoes Using an Electronic Nose Based on Feature Discretization and Ensemble Convolutional Neural Network.

Haonan Lin, Zhenbo Wei, Changqing Chen, Yun Huang, Jianxi Zhu

Sensors, May, 2024

DOWN: Dynamic Order Weighted Network for Fine-grained Category Discovery.

Wenbin An, Feng Tian, Wenkai Shi, Haonan Lin, Yaqiang Wu, Mingxiang Cai, Luyan Wang, Hua Wen, Lei Yao, Ping Chen

Knowl. Based Syst., 2024

Knowledge Acquisition Disentanglement for Knowledge-based Visual Question Answering with Large Language Models.

Wenbin An, Feng Tian, Jiahao Nie, Wenkai Shi, Haonan Lin, Yan Chen, Qianying Wang, Yaqiang Wu, Guang Dai, Ping Chen

CoRR, 2024

AGLA: 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, Guang Dai, Ping Chen, Shijian Lu

CoRR, 2024

OneActor: Consistent Character Generation via Cluster-Conditioned Guidance.

Jiahao Wang, Caixia Yan, Haonan Lin, Weizhan Zhang

CoRR, 2024

DreamSalon: A Staged Diffusion Framework for Preserving Identity-Context in Editable Face Generation.

Haonan Lin, Mengmeng Wang, Yan Chen, Wenbin An, Yuzhe Yao, Guang Dai, Qianying Wang, Yong Liu, Jingdong Wang

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery.

Haonan Lin, Wenbin An, Jiahao Wang, Yan Chen, Feng Tian, Mengmeng Wang, Qianying Wang, Guang Dai, Jingdong Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

A Tri-Branch Network with Prototype-aware Matching for Universal Category Discovery.

Haonan Lin, Wenbin An, Yan Chen, Feng Tian, Yuzhe Yao, Wei Ding, Qianying Wang, Ping Chen

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Timestep-Aware Correction for Quantized Diffusion Models.

Yuzhe Yao, Feng Tian, Jun Chen, Haonan Lin, Guang Dai, Yong Liu, Jingdong Wang

Proceedings of the Computer Vision - ECCV 2024, 2024

DreamSalon: A Staged Diffusion Framework for Preserving Identity-Context in Editable Face Generation.

Haonan Lin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Generalized Category Discovery with Large Language Models in the Loop.

Wenbin An, Wenkai Shi, Feng Tian, Haonan Lin, Qianying Wang, Yaqiang Wu, Mingxiang Cai, Luyan Wang, Yan Chen, Haiping Zhu, Ping Chen

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2020

DeLTA: Automated cell segmentation, tracking, and lineage reconstruction using deep learning.

Jean-Baptiste Lugagne, Haonan Lin, Mary J. Dunlop

PLoS Comput. Biol., 2020