Academic Qualification

Ph.D. in Computer technology and Its Application, Macau University of Science and Technology, 2009

M.Sc. in Major Information Technology, Macau University of Science and Technology, 2006

B.Eng. in Communication Engineering, Chongqing University of Posts and Communications, 2004

Teaching Area

• Computer Organization (Undergraduate)

• Computer Architecture (MSc in IT)

• Data Mining (MSc in AI / IT / Applied Math and Data Science)

Research Area

• Artificial Intelligence (ML, Vision, LLM)

• Computer Architecture, AI System

Working Experience

• 2009-2013, Post-Doc Research Fellow, in Space Science Institution, Macau University of Science and Technology.

• 2014-2020, Assistant Professor, in Faculty of Innovation Engineering, Macau University of Science and Technology.

• Present, Associate Professor, in Faculty of Information Technology, Macau University of Science and Technology.

Academic Publication (Selected, only CCF-A/B listed)

TPAMI × 2

1. Zhou, B., Wang, P., Wan, J., Liang, Y., Wang, F., Zhang, D., Lei, Z., Li, H., & Jin, R. (2023). A unified multimodal de-and re-coupling framework for rgb-d-based motion recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(10), 11428–11442.

2. Liu, A., Lin, X., Zhi, R., Liang, Y., Zhu, X., Cai, Z., Wan, J., Escalera, S., & Lei, Z. (2026). DGPDL: Domain-guided prompt distribution learning for generalizable face anti-spoofing. IEEE Transactions on Pattern Analysis and Machine Intelligence.

IJCV × 2

1. Wang, K., Zhang, G., Yue, H., Liang, Y., Huang, M., Zhang, G., Han, J., Ding, E., & Wang, J. (2024). Csdg-fas: Closed-space domain generalization for face anti-spoofing. International Journal of Computer Vision, 132(11), 4866–4879.

2. Liu, A., Lin, X., Ma, H., Yu, X., Guo, J., Yu, Z., Wan, J., Cai, Z., Lei, Z., & Liang, Y. (2026). ICPE-FAS: Instance and category prompts engineering for generalizable face anti-spoofing. International Journal of Computer Vision, 134(6), 292.

TIP × 1

1. Wang, X., Wang, S., Liang, Y., Gu, L., & Lei, Z. (2022). Rvface: Reliable vector guided softmax loss for face recognition. IEEE Transactions on Image Processing, 31, 2337–2351.

TMM × 3

1. Lin, X., Liang, Y., Wan, J., Lin, C., & Li, S. Z. (2019). Region-based context enhanced network for robust multiple face alignment. IEEE Transactions on Multimedia, 21(12), 3053–3067.

2. Han, T., Gui, S., Huang, Y., Li, B., Liu, L., Zhou, B., Jiang, N., Lu, Q., Zhi, R., & Liang, Y. (2024). PMMTalk: Speech-driven 3D facial animation from complementary pseudo multi-modal features. IEEE Transactions on Multimedia, 27, 2570–2581.

3. Ma, H., Liu, A., Xue, S., Diao, Y., Liang, D., Liang, H., Liang, Y., Wan, J., Yang, X., & Hu, Z. (2026). CLIP-SA: CLIP-guided semantic alignment for generalizable face anti-spoofing. IEEE Transactions on Multimedia.

TIFS × 4

1. Liu, A., Tan, Z., Wan, J., Liang, Y., Lei, Z., Guo, G., & Li, S. Z. (2021). Face anti-spoofing via adversarial cross-modality translation. IEEE Transactions on Information Forensics and Security, 16, 2759–2772.

2. Liu, A., Zhao, C., Yu, Z., Wan, J., Su, A., Liu, X., Tan, Z., Escalera, S., Xing, J., & Liang, Y. (2022). Contrastive context-aware learning for 3D high-fidelity mask face presentation attack detection. IEEE Transactions on Information Forensics and Security, 17, 2497–2507.

3. Liu, A., Tan, Z., Yu, Z., Zhao, C., Wan, J., Liang, Y., Lei, Z., Zhang, D., Li, S. Z., & Guo, G. (2023). Fm-vit: Flexible modal vision transformers for face anti-spoofing. IEEE Transactions on Information Forensics and Security, 18, 4775–4786.

4. Li, Y., Li, N., Liu, A., Ma, H., Yang, L., Chen, X., Liang, Z., Liang, Y., Wan, J., & Lei, Z. (2025). FA 3-CLIP: Frequency-aware cues fusion and attack-agnostic prompt learning for unified face attack detection. IEEE Transactions on Information Forensics and Security.

CVM × 1

1. Yu, X., Li, J., Wong, C.-C., Vong, C.-M., & Liang, Y. (2025). FACNet: Feature alignment fast point cloud completion network. Computational Visual Media, 11(1), 141–157.

TCYB × 1

1. Lin, X., Wan, J., Xie, Y., Zhang, S., Lin, C., Liang, Y., Guo, G., & Li, S. Z. (2019). Task-oriented feature-fused network with multivariate dataset for joint face analysis. IEEE Transactions on Cybernetics, 50(3), 1292–1305.

TCVST × 1

1. Chen, Z., Zhou, B., Huang, Y., Wan, J., Hu, Y., Shi, H., Liang, Y., Lei, Z., & Zhang, D. (2025). C²RL: Content and context representation learning for gloss-free sign language translation and retrieval. IEEE Transactions on Circuits and Systems for Video Technology.

TII × 1

1. Li, N., Liu, A., Zhu, Z., Lin, X., Ma, H., Dai, H.-N., & Liang, Y. (2025). Knowledge distillation-based anomaly detection via adaptive discrepancy optimization. IEEE Transactions on Industrial Informatics.

PR × 3

1. Zhu, Z., Yang, L., Lin, X., Yang, L., & Liang, Y. (2023). Garnet: Global-aware multi-view 3D reconstruction network and the cost-performance tradeoff. Pattern Recognition, 142, 109674.

2. Wang, X., Wang, S., Liang, Y., & Lei, Z. (2025). Decisive vector guided column annotation. Pattern Recognition, 158, 110958.

3. Zheng, H., Lin, X., Liang, H., Zhou, B., & Liang, Y. (2025). Region-aware mutual relational knowledge distillation for semantic segmentation. Pattern Recognition, 161, 111319.

ICML × 2

1. Liu, B., Pu, Z., Pan, Y., Yi, J., Liang, Y., & Zhang, D. (2023). Lazy agents: A new perspective on solving sparse reward problem in multi-agent reinforcement learning. In Proceedings of the International Conference on Machine Learning (pp. 21937–21950). PMLR.

2. Yu, X., Yang, L., Mo, H., Ma, H., Kai, F., Liu A., Liang, Y. (2026). PointCHR: Point Cloud Analysis via Curvature-Aware Hyperbolic Rectification. In Proceedings of the International Conference on Machine Learning.

NeurIPS × 1

1. Ma, H., Hu, T., Pu, Z., Liu, B., Ai, X., Liang, Y., & Chen, M. (2024). Coevolving with the other you: Fine-tuning llm with sequential cooperative multi-agent reinforcement learning. In Advances in Neural Information Processing Systems (Vol. 37, pp. 15497–15525).

CVPR × 3

1. Zhou, B., Wang, P., Wan, J., Liang, Y., Wang, F., Zhang, D., Lei, Z., Li, H., & Jin, R. (2022). Decoupling and recoupling spatiotemporal representation for rgb-d-based motion recognition. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 20154–20163).

2. Liu, A., Xue, S., Gan, J., Wan, J., Liang, Y., Deng, J., Escalera, S., & Lei, Z. (2024). Cfpl-fas: Class free prompt learning for generalizable face anti-spoofing. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 222–232).

3. Yu, X., Liu, A., Qiang, S., Ma, H., Yang, L., Wang, Y., Rao, Z., & Liang, Y. (2026). PointCSP: Cross-sample semantic propagation and stability preservation in self-supervised point cloud learning. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 10016–10026).

ICCV × 4

1. Zhou, B., Chen, Z., Clapés, A., Wan, J., Liang, Y., Escalera, S., Lei, Z., & Zhang, D. (2023). Gloss-free sign language translation: Improving from visual-language pretraining. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 20871–20881).

2. Yang, L., Zhu, Z., Lin, X., Nong, J., & Liang, Y. (2023). Long-range grouping transformer for multi-view 3D reconstruction. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 18257–18267).

3. Zhu, Z., Yang, L., Li, N., Jiang, C., & Liang, Y. (2023). UMIFormer: Mining the correlations between similar tokens for multi-view 3D reconstruction. In Proceedings of the IEEE/CVF International Conference on Computer Vision.

4. Yang, L., Liu, C., Zhu, Z., Liu, A., Ma, H., Nong, J., & Liang, Y. (2025). Not all frame features are equal: Video-to-4D generation via decoupling dynamic-static features. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 7494–7504).

AAAI × 3

1. Qiang, S., Hou, J., Wan, J., Liang, Y., Lei, Z., & Zhang, D. (2023). Mixture uniform distribution modeling and asymmetric mix distillation for class incremental learning. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 37, pp. 9498–9506).

2. Zheng, H., Zhu, H., Deng, L., Gu, W., Yang, Y., & Liang, Y. (2026). Distilling future temporal knowledge with masked feature reconstruction for 3D object detection. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 40, pp. 13396–13404).

3. Yu, X., Liu, A., Qiang, S., Wang, Y., Ma, H., & Liang, Y. (2026). Pointmc: Multi-view consistent encoding and center-global feature fusion for point clouds understanding. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 40, pp. 12169–12177).

ACM MM × 3

1. Liao, W., Qiang, S., Li, X., Chen, X., Wang, H., Liang, Y., Yan, J., He, T., & Peng, P. (2024). CalibRBEV: Multi-camera calibration via reversed bird's-eye-view representations for autonomous driving. In Proceedings of the 32nd ACM International Conference on Multimedia (pp. 9145–9154).

2. Liu, A., Ma, H., Zheng, J., Yuan, H., Yu, X., Liang, Y., Escalera, S., Wan, J., & Lei, Z. (2024). Fm-clip: Flexible modal clip for face anti-spoofing. In Proceedings of the 32nd ACM International Conference on Multimedia (pp. 8228–8237).

3. Han, T., Zhou, B., Liu, A., Liang, Y., Zhang, D., Lei, Z., & Wan, J. (2025). PESTalk: Speech-driven 3D facial animation with personalized emotional styles. In Proceedings of the 33rd ACM International Conference on Multimedia (pp. 7893–7901).

IJCAI × 1

1. Liu, A., & Liang, Y. (2023). Ma-vit: Modality-agnostic vision transformers for face anti-spoofing. In Proceedings of the International Joint Conference on Artificial Intelligence.

For more information, please see https://scholar.google.com/citations?user=-LEgoWMAAAAJ&hl=zh-CN

Professional Society Membership

• The 3rd prize of 2012 "Natural Science Award" from Macao SAR.

• BOC Research Excellence Award (2023)

Professional Society Membership

• Member, IEEE