Image retrieval by fuzzy clustering of relevance feedback records. - Xiangdong Zhou; Qi Zhang; Lan Lin; Ailin Deng; Gang Wu (ICME, 2003)

An Image Retrieval Method Based on Information Filtering of User Relevance Feedback Records. - Xiangdong Zhou; Qi Zhang 025; Li Liu; Ailin Deng; Liang Zhang 019; Baile Shi (WAIM, 2003)

3-D-MIMO With Massive Antennas Paves the Way to 5G Enhanced Mobile Broadband: From System Design to Field Trials. - Guangyi Liu 001; Xueying Hou; Jing Jin; Fei Wang 004; Qixing Wang; Yue Hao 006; Yuhong Huang; Xiaoyun Wang 001; Xiao Xiao; Ailin Deng (IEEE J. Sel. Areas Commun., 2017)

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

Trust, but Verify: Using Self-supervised Probing to Improve Trustworthiness. - Ailin Deng; Shen Li 004; Miao Xiong; Zhirui Chen; Bryan Hooi (ECCV (13), 2022)

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

Birds of a Feather Trust Together: Knowing When to Trust a Classifier via Adaptive Neighborhood Aggregation. - Miao Xiong; Shen Li 004; Wenjie Feng 001; Ailin Deng; Jihai Zhang 002; Bryan Hooi (Trans. Mach. Learn. Res., 2022)

Prompt-and-Align: Prompt-Based Social Alignment for Few-Shot Fake News Detection. - Jiaying Wu; Shen Li 004; Ailin Deng; Miao Xiong; Bryan Hooi (CIKM, 2023)

Probabilistic Knowledge Distillation of Face Ensembles. - Jianqing Xu; Shen Li 004; Ailin Deng; Miao Xiong; Jiaying Wu; Jiaxiang Wu 002; Shouhong Ding; Bryan Hooi (CVPR, 2023)

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

Proximity-Informed Calibration for Deep Neural Networks. - Miao Xiong; Ailin Deng; Pang Wei W. Koh; Jiaying Wu; Shen Li 004; Jianqing Xu; Bryan Hooi (NeurIPS, 2023)

Proximity-Informed Calibration for Deep Neural Networks. - Miao Xiong; Ailin Deng; Pang Wei Koh; Jiaying Wu; Shen Li 004; Jianqing Xu; Bryan Hooi (CoRR, 2023)

Beacon Signal based Energy-saving Mechanism for 6G Networks. - Ailin Deng; Xiaoqian Li; Gang Feng; Lu Guan (ICCT, 2024)

ID3: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition. - Jianqing Xu; Shen Li 004; Jiaying Wu; Miao Xiong; Ailin Deng; Jiazhen Ji; Yuge Huang; Guodong Mu; Wenjie Feng 001; Shouhong Ding; Bryan Hooi (NeurIPS, 2024)

Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided Decoding. - Ailin Deng; Zhirui Chen; Bryan Hooi (CoRR, 2024)

ID3: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition. - Shen Li 004; Jianqing Xu; Jiaying Wu; Miao Xiong; Ailin Deng; Jiazhen Ji; Yuge Huang; Wenjie Feng 001; Shouhong Ding; Bryan Hooi (CoRR, 2024)

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection. - Tri Cao; Minh-Huy Trinh; Ailin Deng; Quoc-Nam Nguyen; Khoa Duong; Ngai-Man Cheung; Bryan Hooi (CoRR, 2024)

Words or Vision: Do Vision-Language Models Have Blind Faith in Text? - Ailin Deng; Tri Cao; Zhirui Chen; Bryan Hooi (CVPR, 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 008; Bryan Hooi (CoRR, 2025)

Energy-Guided Decoding for Object Hallucination Mitigation. - Xixi Liu 001; Ailin Deng; Christopher Zach (CoRR, 2025)