Publications

@article{huang2026bitstream,
  url = {https://arxiv.org/abs/2608.21837},
  title = {Towards Bitstream-corrupted Harsh Visual Understanding: Through Bitstream Language Modeling as Robust Semantic Priors},
  author = {Huang, Chaoran and Li, Fangcheng and Liu, Tianyi and Liu, Wenyang and Wu, Kejun},
  journal = {arXiv preprint arXiv:2608.21837},
  year = {2026}
}

@article{li2026bitstream,
  url = {https://arxiv.org/abs/2608.15695},
  title = {Bitstream Action Recognition is Byte Modeling},
  author = {Li, Fangcheng and Huang, Chaoran and Liu, Tianyi and Liu, Wenyang and Wu, Kejun and Liu, Qiong and Yang, You and Li, Zhengguo},
  journal = {arXiv preprint arXiv:2608.15695},
  year = {2026}
}

@inproceedings{liu2026driftad,
  url = {https://arxiv.org/abs/2608.23723},
  title = {{DriftAD}: Visually-Guided Text Drift for Few-Shot Industrial Anomaly Detection},
  author = {Liu, Wenyang and Liu, Tianyi and Zhang, Dongshuo and Wu, Kejun and Kong, Wai Kin (Adams)},
  booktitle = {Proceedings of the ACM International Conference on Multimedia},
  year = {2026}
}

@article{liu2026promptsr,
  url = {https://arxiv.org/abs/2507.04118},
  title = {{PromptSR}: Cascade Prompting for Lightweight Image Super-Resolution},
  author = {Liu, Wenyang and Cai, Chen and Gao, Jianjun and Wu, Kejun and Wang, Yi and Yap, Kim-Hui and Chau, Lap-Pui},
  journal = {IEEE Transactions on Multimedia},
  year = {2026},
  publisher = {IEEE}
}

@article{wu2026llmark,
  url = {https://www.sciencedirect.com/science/article/abs/pii/S1566253526003209},
  title = {{LLMArk}: Instance-Aware Foundation Model for Flood Risk Assessment},
  author = {Wu, Kejun and Wang, Shen and Gao, Jianjun and Liu, Wenyang and Liu, Qiong and Cai, Chengtao and Yang, You},
  journal = {Information Fusion},
  pages = {104440},
  year = {2026},
  publisher = {Elsevier}
}

@article{wu2026corrupted,
  url = {https://www.sciencedirect.com/science/article/abs/pii/S0031320326011167},
  title = {Corrupted Bitstream Semantic Understanding by Adaptive-Modal Large Language Models},
  author = {Wu, Kejun and Li, Fangcheng and Liu, Wenyang and Liu, Qiong and Yang, You},
  journal = {Pattern Recognition},
  volume = {180},
  pages = {114151},
  year = {2026},
  publisher = {Elsevier}
}

@article{liu2025ssh,
  url = {https://arxiv.org/abs/2505.05088},
  title = {{SSH-Net}: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal},
  author = {Liu, Wenyang and Gao, Jianjun and Yap, Kim-Hui},
  journal = {Journal of Visual Communication and Image Representation},
  pages = {104516},
  year = {2025},
  publisher = {Academic Press}
}

@inproceedings{cai2025semantics,
  url = {https://arxiv.org/abs/2507.14686},
  title = {From Semantics, Scene to Instance-awareness: Distilling Foundation Model for Open-vocabulary Grounded Situation Recognition},
  author = {Cai, Chen and Liu, Tianyi and Gao, Jianjun and Liu, Wenyang and Wu, Kejun and Wang, Ruoyu and Wang, Yi and Liew, Soo Chin},
  booktitle = {Proceedings of the 33rd ACM International Conference on Multimedia},
  pages = {392--401},
  year = {2025}
}

@article{gao2025cl,
  url = {https://arxiv.org/abs/2410.15657},
  title = {{CL-HOI}: Cross-Level Human-Object Interaction Distillation from Multimodal Large Language Models},
  author = {Gao, Jianjun and Cai, Chen and Wang, Ruoyu and Liu, Wenyang and Yap, Kim-Hui and Garg, Kratika and Han, Boon Siew},
  journal = {Knowledge-Based Systems},
  volume = {320},
  pages = {113561},
  year = {2025},
  publisher = {Elsevier}
}

@article{wang2025motionanimate,
  url = {https://www.sciencedirect.com/science/article/pii/S1566253525006311},
  title = {{MotionAnimate}: Animate Human Images with Pose Motion for Vivid and Temporally Consistent Video Generation},
  author = {Wang, Ruoyu and Wang, Shaowei and Gong, Rui and Cai, Chen and Gao, Jianjun and Wang, Wenqian and Liu, Wenyang and Yap, Kim-Hui},
  journal = {Information Fusion},
  pages = {103559},
  year = {2025},
  publisher = {Elsevier}
}

@article{hu2025hsnet,
  url = {https://arxiv.org/abs/2510.06564},
  title = {{HSNet}: Heterogeneous Subgraph Network for Single Image Super-Resolution},
  author = {Hu, Qiongyang and Liu, Wenyang and Zou, Wenbin and Su, Yuejiao and Chau, Lap-Pui and Wang, Yi},
  journal = {arXiv preprint arXiv:2510.06564},
  year = {2025}
}

@article{liu2024bytenet,
  url = {https://arxiv.org/abs/2410.20855},
  title = {{ByteNet}: Rethinking Multimedia File Fragment Classification through Visual Perspectives},
  author = {Liu, Wenyang and Wu, Kejun and Liu, Tianyi and Wang, Yi and Yap, Kim-Hui and Chau, Lap-Pui},
  journal = {IEEE Transactions on Multimedia},
  volume = {27},
  pages = {1305--1319},
  year = {2024},
  publisher = {IEEE}
}

@article{wang2024intra,
  url = {https://www.sciencedirect.com/science/article/pii/S0950705124002004},
  title = {Intra-and Inter-Sector Contextual Information Fusion with Joint Self-Attention for File Fragment Classification},
  author = {Wang, Yi and Liu, Wenyang and Wu, Kejun and Yap, Kim-Hui and Chau, Lap-Pui},
  journal = {Knowledge-Based Systems},
  volume = {291},
  pages = {111565},
  year = {2024},
  publisher = {Elsevier}
}

@inproceedings{cai2024empowering,
  url = {https://aclanthology.org/2024.emnlp-main.227/},
  title = {Empowering Large Language Model for Continual Video Question Answering with Collaborative Prompting},
  author = {Cai, Chen and Wang, Zheng and Gao, Jianjun and Liu, Wenyang and Lu, Ye and Zhang, Runzhong and Yap, Kim-Hui},
  booktitle = {Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing},
  year = {2024}
}

@inproceedings{wang2024cm2,
  url = {https://arxiv.org/abs/2406.11340},
  title = {{CM$^2$-Net}: Continual Cross-Modal Mapping Network for Driver Action Recognition},
  author = {Wang, Ruoyu and Cai, Chen and Wang, Wenqian and Gao, Jianjun and Lin, Dan and Liu, Wenyang and Yap, Kim-Hui},
  booktitle = {IEEE International Conference on Image Processing},
  pages = {2236--2242},
  year = {2024},
  organization = {IEEE}
}

@inproceedings{liu2023bitstream_cvpr,
  url = {https://openaccess.thecvf.com/content/CVPR2023/html/Liu_Bitstream-Corrupted_JPEG_Images_Are_Restorable_Two-Stage_Compensation_and_Alignment_Framework_CVPR_2023_paper.html},
  title = {Bitstream-Corrupted {JPEG} Images Are Restorable: Two-Stage Compensation and Alignment Framework for Image Restoration},
  author = {Liu, Wenyang and Wang, Yi and Yap, Kim-Hui and Chau, Lap-Pui},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages = {9979--9988},
  year = {2023}
}

@article{liu2023bitstream_neurips,
  url = {https://proceedings.neurips.cc/paper_files/paper/2023/hash/d7928f6dfb0c30d6a6917587dacbe4bc-Abstract-Datasets_and_Benchmarks.html},
  title = {Bitstream-Corrupted Video Recovery: A Novel Benchmark Dataset and Method},
  author = {Liu, Tianyi and Wu, Kejun and Wang, Yi and Liu, Wenyang and Yap, Kim-Hui and Chau, Lap-Pui},
  journal = {Advances in Neural Information Processing Systems},
  volume = {36},
  pages = {68420--68433},
  year = {2023}
}

@inproceedings{liu2023byte,
  url = {https://arxiv.org/abs/2304.06983},
  title = {A Byte Sequence Is Worth an Image: {CNN} for File Fragment Classification Using Bit Shift and n-Gram Embeddings},
  author = {Liu, Wenyang and Wang, Yi and Wu, Kejun and Yap, Kim-Hui and Chau, Lap-Pui},
  booktitle = {IEEE International Conference on Artificial Intelligence Circuits and Systems},
  year = {2023}
}

@inproceedings{wu2023spatial,
  url = {https://dr.ntu.edu.sg/server/api/core/bitstreams/20469b5d-7668-4b3f-9793-56c314bb34dd/content},
  title = {A Spatial-Focal Error Concealment Scheme for Corrupted Focal Stack Video},
  author = {Wu, Kejun and Wang, Yi and Liu, Wenyang and Yap, Kim-Hui and Chau, Lap-Pui},
  booktitle = {Data Compression Conference},
  pages = {91--100},
  year = {2023},
  organization = {IEEE}
}

@inproceedings{wang2023image,
  url = {https://doi.org/10.1109/ISCAS46773.2023.10181598},
  title = {Image Representation and Deep Inception-Attention for File-Type and Malware Classification},
  author = {Wang, Yi and Wu, Kejun and Liu, Wenyang and Yap, Kim-Hui and Chau, Lap-Pui},
  booktitle = {IEEE International Symposium on Circuits and Systems},
  pages = {1--5},
  year = {2023},
  organization = {IEEE}
}

@inproceedings{lou2020mindreading,
  url = {https://arxiv.org/abs/2001.11954},
  title = {{MindReading}: An Ultra-Low-Power Photonic Accelerator for {EEG}-Based Human Intention Recognition},
  author = {Lou, Qian and Liu, Wenyang and Liu, Weichen and Guo, Feng and Jiang, Lei},
  booktitle = {Asia and South Pacific Design Automation Conference},
  pages = {464--469},
  year = {2020},
  organization = {IEEE}
}

@inproceedings{liu2019holylight,
  url = {https://doi.org/10.23919/DATE.2019.8715195},
  title = {{HolyLight}: A Nanophotonic Accelerator for Deep Learning in Data Centers},
  author = {Liu, Weichen and Liu, Wenyang and Ye, Yichen and Lou, Qian and Xie, Yiyuan and Jiang, Lei},
  booktitle = {Design, Automation \& Test in Europe Conference},
  pages = {1483--1488},
  year = {2019},
  organization = {IEEE}
}

@inproceedings{liu2018fine,
  url = {https://doi.org/10.1109/PADSW.2018.8644865},
  title = {Fine-Grained Task-Level Parallel and Low Power {H.264} Decoding in Multi-Core Systems},
  author = {Liu, Wenyang and Liu, Weichen and Li, Mengquan and Chen, Peng and Yang, Lei and Xiao, Chunhua and Ye, Yaoyao},
  booktitle = {IEEE 24th International Conference on Parallel and Distributed Systems},
  pages = {307--314},
  year = {2018},
  organization = {IEEE}
}