Deng, Ailin

12 publications

NeurIPS 2025 MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research Hui Chen, Miao Xiong, Yujie Lu, Wei Han, Ailin Deng, Yufei He, Jiaying Wu, Yibo Li, Yue Liu, Bryan Hooi

CVPR 2025 Words or Vision: Do Vision-Language Models Have Blind Faith in Text? Ailin Deng, Tri Cao, Zhirui Chen, Bryan Hooi

ICLRW 2025 Words or Vision: Do Vision-Language Models Have Blind Faith in Text? Ailin Deng, Tri Cao, Zhirui Chen, Bryan Hooi

NeurIPS 2024 $\text{ID}^3$: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition Jianqing Xu, Shen Li, Jiaying Wu, Miao Xiong, Ailin Deng, Jiazhen Ji, Yuge Huang, Guodong Mu, Wenjie Feng, Shouhong Ding, Bryan Hooi

ICLRW 2024 Seeing Is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided Decoding Ailin Deng, Zhirui Chen, Bryan Hooi

ICML 2023 Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement Ailin Deng, Miao Xiong, Bryan Hooi

CVPR 2023 Probabilistic Knowledge Distillation of Face Ensembles Jianqing Xu, Shen Li, Ailin Deng, Miao Xiong, Jiaying Wu, Jiaxiang Wu, Shouhong Ding, Bryan Hooi

NeurIPS 2023 Proximity-Informed Calibration for Deep Neural Networks Miao Xiong, Ailin Deng, Pang Wei W Koh, Jiaying Wu, Shen Li, Jianqing Xu, Bryan Hooi

TMLR 2022 Birds of a Feather Trust Together: Knowing When to Trust a Classifier via Adaptive Neighborhood Aggregation Miao Xiong, Shen Li, Wenjie Feng, Ailin Deng, Jihai Zhang, Bryan Hooi

IJCAI 2022 CADET: Calibrated Anomaly Detection for Mitigating Hardness Bias Ailin Deng, Adam Goodge, Lang Yi Ang, Bryan Hooi

ECCV 2022 Trust, but Verify: Using Self-Supervised Probing to Improve Trustworthiness Ailin Deng, Shen Li, Miao Xiong, Zhirui Chen, Bryan Hooi

AAAI 2021 Graph Neural Network-Based Anomaly Detection in Multivariate Time Series Ailin Deng, Bryan Hooi