Libo Huang

According to our database, Libo Huang authored at least 43 papers between 2018 and 2026.

Collaborative distances:

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

2026

Echo-Forcing: A Scene Memory Framework for Interactive Long Video Generation.

Mingqiang Wu, Weilun Feng, Zhefeng Zhang, Haotong Qin, Yuqi Li, Guoxin Fan, Xiaokun Liu, Zhulin An, Libo Huang, Yongjun Xu, Chuanguang Yang

CoRR, May, 2026

WorldCache: Accelerating World Models for Free via Heterogeneous Token Caching.

Weilun Feng, Guoxin Fan, Haotong Qin, Chuanguang Yang, Mingqiang Wu, Yuqi Li, Xiangqi Li, Zhulin An, Libo Huang, Dingrui Wang, Longlong Liao, Michele Magno, Yongjun Xu

CoRR, March, 2026

Fast-SAM3D: 3Dfy Anything in Images but Faster.

Weilun Feng, Mingqiang Wu, Zhiliang Chen, Chuanguang Yang, Haotong Qin, Yuqi Li, Xiaokun Liu, Guoxin Fan, Zhulin An, Libo Huang, Yulun Zhang, Michele Magno, Yongjun Xu

CoRR, February, 2026

Teacher-Guided Student Self-Knowledge Distillation Using Diffusion Model.

Yu Wang, Chuanguang Yang, Zhulin An, Weilun Feng, Jiarui Zhao, Chengqing Yu, Libo Huang, Boyu Diao, Yongjun Xu

CoRR, February, 2026

AF-YOLO: Asymptotic Feature Extraction and Fusion for Aerial Object Detection.

Lve Huang, Xiaowei Yu, Huabiao Yan, Libo Huang, Zhulin An, Yongjun Xu

IEEE Trans. Circuits Syst. Video Technol., January, 2026

2025

Overcoming Prompts Pool Confusion via Parameterized Prompt for Incremental Object Detection.

Zijia An, Boyu Diao, Ruiqi Liu, Libo Huang, Chuanguang Yang, Fei Wang, Zhulin An, Yongjun Xu

CoRR, October, 2025

QuantSparse: Comprehensively Compressing Video Diffusion Transformer with Model Quantization and Attention Sparsification.

Weilun Feng, Chuanguang Yang, Haotong Qin, Mingqiang Wu, Yuqi Li, Xiangqi Li, Zhulin An, Libo Huang, Yulun Zhang, Michele Magno, Yongjun Xu

CoRR, September, 2025

Quantized Visual Geometry Grounded Transformer.

Weilun Feng, Haotong Qin, Mingqiang Wu, Chuanguang Yang, Yuqi Li, Xiangqi Li, Zhulin An, Libo Huang, Yulun Zhang, Michele Magno, Yongjun Xu

CoRR, September, 2025

S²Q-VDiT: Accurate Quantized Video Diffusion Transformer with Salient Data and Sparse Token Distillation.

Weilun Feng, Haotong Qin, Chuanguang Yang, Xiangqi Li, Han Yang, Yuqi Li, Zhulin An, Libo Huang, Michele Magno, Yongjun Xu

CoRR, August, 2025

Confounded Causal Imitation Learning with Instrumental Variables.

Yan Zeng, Shenglan Nie, Feng Xie, Libo Huang, Peng Wu, Zhi Geng

CoRR, July, 2025

MPQ-DMv2: Flexible Residual Mixed Precision Quantization for Low-Bit Diffusion Models with Temporal Distillation.

Weilun Feng, Chuanguang Yang, Haotong Qin, Yuqi Li, Xiangqi Li, Zhulin An, Libo Huang, Boyu Diao, Fuzhen Zhuang, Michele Magno, Yongjun Xu, Yingli Tian, Tingwen Huang

CoRR, July, 2025

PrePrompt: Predictive prompting for class incremental learning.

Libo Huang, Zhulin An, Chuanguang Yang, Boyu Diao, Fei Wang, Yan Zeng, Zhifeng Hao, Yong-Jun Xu

CoRR, May, 2025

A Survey on Causal Reinforcement Learning.

Yan Zeng, Ruichu Cai, Fuchun Sun, Libo Huang, Zhifeng Hao

IEEE Trans. Neural Networks Learn. Syst., April, 2025

Efficient Continual Learning through Frequency Decomposition and Integration.

Ruiqi Liu, Boyu Diao, Libo Huang, Hangda Liu, Chuanguang Yang, Zhulin An, Yongjun Xu

CoRR, March, 2025

Low-redundancy distillation for continual learning.

Ruiqi Liu, Boyu Diao, Libo Huang, Zijia An, Hangda Liu, Zhulin An, Yongjun Xu

Pattern Recognit., 2025

Classification-Based False Alarm Suppression for SAR Target Detection.

Nan Yang, Libo Huang, Zhulin An, Yongjun Xu, Xia Hong, Wing-Kuen Ling

Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

Geometric Feature Embedding for Effective 3D Few-Shot Class Incremental Learning.

Xiangqi Li, Libo Huang, Zhulin An, Weilun Feng, Chuanguang Yang, Boyu Diao, Fei Wang, Yongjun Xu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers.

Weilun Feng, Chuanguang Yang, Haotong Qin, Xiangqi Li, Yu Wang, Zhulin An, Libo Huang, Boyu Diao, Zixiang Zhao, Yongjun Xu, Michele Magno

Proceedings of the Forty-second International Conference on Machine Learning, 2025

OLN++: Improved Object Localization Network for Open-world Object Detection.

Haonan Mai, Libo Huang, Zhulin An, Jiarui Zhao, Chuanguang Yang, Erhu Zhao, Yongjun Xu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

IOR: Inversed Objects Replay for Incremental Object Detection.

Zijia An, Boyu Diao, Libo Huang, Ruiqi Liu, Zhulin An, Yongjun Xu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Multi-party Collaborative Attention Control for Image Customization.

Han Yang, Chuanguang Yang, Qiuli Wang, Zhulin An, Weilun Feng, Libo Huang, Yongjun Xu

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

Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognition.

Chuanguang Yang, Xinqiang Yu, Han Yang, Zhulin An, Chengqing Yu, Libo Huang, Yongjun Xu

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

HSRDiff: A Hierarchical Self-Regulation Diffusion Model for Stochastic Semantic Segmentation.

Han Yang, Chuanguang Yang, Zhulin An, Libo Huang, Yongjun Xu

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

MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models.

Weilun Feng, Haotong Qin, Chuanguang Yang, Zhulin An, Libo Huang, Boyu Diao, Fei Wang, Renshuai Tao, Yongjun Xu, Michele Magno

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

2024

PDD: Pruning Neural Networks During Knowledge Distillation.

Xi Dan, Wenjie Yang, Fuyan Zhang, Yihang Zhou, Zhuojun Yu, Zhen Qiu, Boyuan Zhao, Zeyu Dong, Libo Huang, Chuanguang Yang

Cogn. Comput., November, 2024

Automatical Spike Sorting With Low-Rank and Sparse Representation.

Libo Huang, Lu Gan, Yan Zeng, Bingo Wing-Kuen Ling

IEEE Trans. Biomed. Eng., May, 2024

EGOR: Efficient Generated Objects Replay for incremental object detection.

Zijia An, Boyu Diao, Libo Huang, Ruiqi Liu, Zhulin An, Yongjun Xu

CoRR, 2024

Exemplar-Free Class Incremental Learning via Incremental Representation.

Libo Huang, Zhulin An, Yan Zeng, Chuanguang Yang, Xinqiang Yu, Yongjun Xu

CoRR, 2024

Continual Learning in the Frequency Domain.

Ruiqi Liu, Boyu Diao, Libo Huang, Zijia An, Zhulin An, Yongjun Xu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Relational Diffusion Distillation for Efficient Image Generation.

Weilun Feng, Chuanguang Yang, Zhulin An, Libo Huang, Boyu Diao, Fei Wang, Yongjun Xu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Online Policy Distillation with Decision-Attention.

Xinqiang Yu, Chuanguang Yang, Chengqing Yu, Libo Huang, Zhulin An, Yongjun Xu

Proceedings of the International Joint Conference on Neural Networks, 2024

KFC: Knowledge Reconstruction and Feedback Consolidation Enable Efficient and Effective Continual Generative Learning.

Libo Huang, Zhulin An, Yan Zeng, Xiang Zhi, Yongjun Xu

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

CLIP-KD: An Empirical Study of CLIP Model Distillation.

Chuanguang Yang, Zhulin An, Libo Huang, Junyu Bi, Xinqiang Yu, Han Yang, Boyu Diao, Yongjun Xu

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

Online Relational Knowledge Distillation for Image Classification.

Yihang Zhou, Chuanguang Yang, Yuqi Li, Libo Huang, Zhulin An, Yongjun Xu

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

Class-wise Image Mixture Guided Self-Knowledge Distillation for Image Classification.

Zeyu Dong, Chuanguang Yang, Yuqi Li, Libo Huang, Zhulin An, Yongjun Xu

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation.

Libo Huang, Yan Zeng, Chuanguang Yang, Zhulin An, Boyu Diao, Yongjun Xu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Nonlinear Causal Discovery for High-Dimensional Deterministic Data.

Yan Zeng, Zhifeng Hao, Ruichu Cai, Feng Xie, Libo Huang, Shohei Shimizu

IEEE Trans. Neural Networks Learn. Syst., May, 2023

E2Net: Resource-Efficient Continual Learning with Elastic Expansion Network.

Ruiqi Liu, Boyu Diao, Libo Huang, Zhulin An, Yongjun Xu

CoRR, 2023

CLIP-KD: An Empirical Study of Distilling CLIP Models.

Chuanguang Yang, Zhulin An, Libo Huang, Junyu Bi, Xinqiang Yu, Han Yang, Yongjun Xu

CoRR, 2023

eTag: Class-Incremental Learning with Embedding Distillation and Task-Oriented Generation.

Libo Huang, Yan Zeng, Chuanguang Yang, Zhulin An, Boyu Diao, Yongjun Xu

CoRR, 2023

2022

Lifelong Generative Learning via Knowledge Reconstruction.

Libo Huang, Zhulin An, Xiang Zhi, Yongjun Xu

CoRR, 2022

2020

Spike Sorting Based On Low-Rank And Sparse Representation.

Libo Huang, Bingo Wing-Kuen Ling, Yan Zeng, Lu Gan

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

2018

HASS: High Accuracy Spike Sorting with Wavelet Package Decomposition and Mutual Information.

Yao Chen, Libo Huang, Jiong He, Kunyao Zhao, Ruichu Cai, Zhifeng Hao

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018