Hanwen Liang

According to our database, Hanwen Liang authored at least 14 papers between 2019 and 2025.

Collaborative distances:

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

2025

Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking.

Chen-Hao Chao, Wei-Fang Sun, Hanwen Liang, Chun-Yi Lee, Rahul G. Krishnan

CoRR, May, 2025

SpikeDerain: Unveiling Clear Videos from Rainy Sequences Using Color Spike Streams.

Hanwen Liang, Xian Zhong, Wenxuan Liu, Yajing Zheng, Wenxin Huang, Zhaofei Yu, Tiejun Huang

CoRR, March, 2025

A Joint Entity and Relation Extraction Model Driven by Fine-Grained Feature Extraction.

Hongli Yu, Han Cao, Chenxi Dong, Haihang Wang, Hanwen Liang, Yachao Cui

Int. J. Pattern Recognit. Artif. Intell., 2025

Wonderland: Navigating 3D Scenes from a Single Image.

Hanwen Liang, Junli Cao, Vidit Goel, Guocheng Qian, Sergei Korolev, Demetri Terzopoulos, Konstantinos N. Plataniotis, Sergey Tulyakov, Jian Ren

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

2024

Comp4D: LLM-Guided Compositional 4D Scene Generation.

Dejia Xu, Hanwen Liang, Neel P. Bhatt, Hezhen Hu, Hanxue Liang, Konstantinos N. Plataniotis, Zhangyang Wang

CoRR, 2024

Diffusion4D: Fast Spatial-temporal Consistent 4D generation via Video Diffusion Models.

Hanwen Liang, Yuyang Yin, Dejia Xu, Hanxue Liang, Zhangyang Wang, Konstantinos N. Plataniotis, Yao Zhao, Yunchao Wei

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

An Arc Light Elimination Network Using Polarization and Prior Information.

Wenhao Yu, Lizhe Qi, Hanwen Liang, Yunquan Sun

Proceedings of the International Joint Conference on Neural Networks, 2024

Spot the Difference! Temporal Coarse to Fine to Finer Difference Spotting for Action Recognition in Videos.

Yaoxin Li, Deepak Sridhar, Hanwen Liang, Alexander Wong

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

AGuided Comparison of Bioinstrumentation Laboratory Data Analysis using Mathematical Software and Generative AI.

Hannah Kimmel, Maya Miriyala, Hanwen Liang, Megha Agrawal, Kaitlyn Tuvilleja, Rebecca M. Reck

Proceedings of the IEEE Frontiers in Education Conference, 2024

2022

Self-Supervised Spatiotemporal Representation Learning by Exploiting Video Continuity.

Hanwen Liang, Niamul Quader, Zhixiang Chi, Lizhe Chen, Peng Dai, Juwei Lu, Yang Wang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised Autoencoder.

Hanwen Liang, Qiong Zhang, Peng Dai, Juwei Lu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Stain Style Transfer of Histopathology Images via Structure-Preserved Generative Learning.

Hanwen Liang, Konstantinos N. Plataniotis, Xingyu Li

Proceedings of the Machine Learning for Medical Image Reconstruction, 2020

New Interpretations of Normalization Methods in Deep Learning.

Jiacheng Sun, Xiangyong Cao, Hanwen Liang, Weiran Huang, Zewei Chen, Zhenguo Li

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

DARTS+: Improved Differentiable Architecture Search with Early Stopping.

Hanwen Liang, Shifeng Zhang, Jiacheng Sun, Xingqiu He, Weiran Huang, Kechen Zhuang, Zhenguo Li

CoRR, 2019