1. Weijian Deng, Dylan Campbell, Chunyi Sun, Shubham Kanitkar, Matthew E. Shaffer, and Stephen Gould. Differentiable neural surface refinement for modeling transparent objects[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2024: 20268–20277.
2. Weijian Deng*, Yumin Suh, Stephen Gould, and Liang Zheng. Confidence and dispersity speak: Confidence and dispersity speak: Characterizing prediction matrix for unsupervised accuracy estimation[C]//Proceedings of the International Conference on Machine Learning (ICML). PMLR, 2023: 7658–7674.
3. WeijianDeng, Stephen Gould, and Liang Zheng.On the strong correlation between model invariance and generalization[C]//Advances in Neural Information Processing Systems (NeurIPS). 2022: 28052–28067.
4. WeijianDeng, and Liang Zheng*. AutoEval: Are Labels Always Necessary for Classifier Accuracy Evaluation?[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, Dec. 2021, 46(3): 1868–1880.
5. Weijian Deng, Liang Zheng, Qixiang Ye, Guoliang Kang, Yi Yang, Jianbin Jiao*. Image-image domain adaptation with preserved self-similarity and domain-dissimilarity for person re-identification[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018: 994–1003.
6. Weijian Deng, Stephen Gould, Liang Zheng*. What does rotation prediction tell us about classifier accuracy under varying testing environments? [C]//Proceedings of the International Conference on Machine Learning (ICML), 2021: 2579–2589.
7. Weijian Deng, Dylan Campbell, Chunyi Sun, Jiahao Zhang, Shubham Kanitkar, Matthew E. Shaffer, Stephen Gould. Pos3r: 6D pose estimation for unseen objects made easy[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025: 16818–16828.
8. Yuli Zou#*, Weijian Deng#, Liang Zheng. Adaptive Calibrator Ensemble: Navigating Test Set Difficulty in Out-of-Distribution Scenarios[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023: 19333–19342.
9. Weijian Deng, Joshua Marsh, Stephen Gould, Liang Zheng*. Fine-grained classification via categorical memory networks[J]. IEEE Transactions on Image Processing, 2022, 31: 4186–4196.
10. WeijieTu, Weijian Deng*, and Tom Gedeon. Toward a Holistic Evaluation of Robustness in CLIP Models[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, Jun. 2025, 47(9): 8280–8296.
