Seeing Small Faces From Robust Anchor's Perspective. - Chenchen Zhu; Ran Tao 013; Khoa Luu; Marios Savvides (CVPR, 2018)

Is Pose Really Solved? A Frontalization Study On Off-Angle Face Matching. - Dipan K. Pal; Chandrasekhar Bhagavatula; Yutong Zheng; Ran Tao 013; Marios Savvides (WACV, 2019)

Unsupervised Disentanglement of Linear-Encoded Facial Semantics. - Yutong Zheng; Yu-Kai Huang; Ran Tao 013; Zhiqiang Shen; Marios Savvides (CVPR, 2021)

Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling. - Ran Tao 013; Han Zhang 048; Yutong Zheng; Marios Savvides (AAAI, 2022)

USB: A Unified Semi-supervised Learning Benchmark for Classification. - Yidong Wang; Hao Chen 102; Yue Fan; Wang Sun; Ran Tao 013; Wenxin Hou; Renjie Wang; Linyi Yang; Zhi Zhou 007; Lan-Zhe Guo; Heli Qi; Zhen Wu 002; et al. (NeurIPS, 2022)

Powering Finetuning in Few-shot Learning: Domain-Agnostic Feature Adaptation with Rectified Class Prototypes. - Ran Tao 013; Han Zhang 048; Yutong Zheng; Marios Savvides (CoRR, 2022)

USB: A Unified Semi-supervised Learning Benchmark. - Yidong Wang; Hao Chen 102; Yue Fan; Wang Sun; Ran Tao 013; Wenxin Hou; Renjie Wang; Linyi Yang; Zhi Zhou 007; Lan-Zhe Guo; Heli Qi; Zhen Wu 002; et al. (CoRR, 2022)

Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets. - Hao Chen 102; Ran Tao 013; Han Zhang 048; Yidong Wang; Wei Ye 004; Jindong Wang 001; Guosheng Hu; Marios Savvides (CoRR, 2022)

Further Collapses in TFNP. - Mika Göös; Alexandros Hollender; Siddhartha Jain 002; Gilbert Maystre; William Pires; Robert Robere; Ran Tao 013 (Electron. Colloquium Comput. Complex., 2022)

Separations in Proof Complexity and TFNP. - Mika Göös; Alexandros Hollender; Siddhartha Jain 002; Gilbert Maystre; William Pires; Robert Robere; Ran Tao 013 (Electron. Colloquium Comput. Complex., 2022)

Lower Bound Methods for Sign-rank and their Limitations. - Hamed Hatami; Pooya Hatami; William Pires; Ran Tao 013; Rosie Zhao (Electron. Colloquium Comput. Complex., 2022)

On public-coin zero-error randomized communication complexity. - Ben Davis; Hamed Hatami; William Pires; Ran Tao 013; Hamza Usmani (Inf. Process. Lett., 2022)

Boosting Transductive Few-Shot Fine-tuning with Margin-based Uncertainty Weighting and Probability Regularization. - Ran Tao 013; Hao Chen 102; Marios Savvides (CVPR, 2023)

SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning. - Hao Chen 102; Ran Tao 013; Yue Fan; Yidong Wang; Jindong Wang 001; Bernt Schiele; Xing Xie 001; Bhiksha Raj; Marios Savvides (ICLR, 2023)

SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning. - Hao Chen 102; Ran Tao 013; Yue Fan; Yidong Wang; Jindong Wang 001; Bernt Schiele; Xing Xie 001; Bhiksha Raj; Marios Savvides (CoRR, 2023)

Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations. - Hao Chen 102; Ankit Shah 001; Jindong Wang 001; Ran Tao 013; Yidong Wang; Xing Xie 001; Masashi Sugiyama; Rita Singh; Bhiksha Raj (CoRR, 2023)

Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets. - Hao Chen 102; Ran Tao 013; Han Zhang 048; Yidong Wang; Xiang Li 106; Wei Ye 004; Jindong Wang 001; Guosheng Hu; Marios Savvides (CVPR Workshops, 2024)

Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks. - Hao Chen 102; Jindong Wang 001; Ankit Shah 001; Ran Tao 013; Hongxin Wei; Xing Xie 001; Masashi Sugiyama; Bhiksha Raj (ICLR, 2024)

Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations. - Hao Chen 102; Ankit Shah 001; Jindong Wang 001; Ran Tao 013; Yidong Wang; Xiang Li 106; Xing Xie 001; Masashi Sugiyama; Rita Singh; Bhiksha Raj (NeurIPS, 2024)

Learning with Noisy Foundation Models. - Hao Chen 102; Jindong Wang 001; Zihan Wang; Ran Tao 013; Hongxin Wei; Xing Xie 001; Masashi Sugiyama; Bhiksha Raj (CoRR, 2024)

Further Collapses in ( boldsymbol{ mathsf{TFNP}} ). - Mika Göös; Alexandros Hollender; Siddhartha Jain 002; Gilbert Maystre; William Pires; Robert Robere; Ran Tao 013 (SIAM J. Comput., 2024)

Towards Learning with Limited Supervision: Efficient Few-shot and Semi-supervised Classification for Vision Tasks - Ran Tao 013 (2024)

Impact of Noisy Supervision in Foundation Model Learning. - Hao Chen 102; Zihan Wang; Ran Tao 013; Hongxin Wei; Xing Xie 001; Masashi Sugiyama; Bhiksha Raj; Jindong Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)