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Ailin Deng
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2020 – today
- 2024
- [i7]Ailin Deng, Zhirui Chen, Bryan Hooi:
Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided Decoding. CoRR abs/2402.15300 (2024) - 2023
- [c9]Jiaying Wu, Shen Li, Ailin Deng, Miao Xiong, Bryan Hooi:
Prompt-and-Align: Prompt-Based Social Alignment for Few-Shot Fake News Detection. CIKM 2023: 2726-2736 - [c8]Jianqing Xu, Shen Li, Ailin Deng, Miao Xiong, Jiaying Wu, Jiaxiang Wu, Shouhong Ding, Bryan Hooi:
Probabilistic Knowledge Distillation of Face Ensembles. CVPR 2023: 3489-3498 - [c7]Ailin Deng, Miao Xiong, Bryan Hooi:
Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement. ICML 2023: 7675-7693 - [c6]Miao Xiong, Ailin Deng, Pang Wei W. Koh, Jiaying Wu, Shen Li, Jianqing Xu, Bryan Hooi:
Proximity-Informed Calibration for Deep Neural Networks. NeurIPS 2023 - [i6]Ailin Deng, Shen Li, Miao Xiong, Zhirui Chen, Bryan Hooi:
Trust, but Verify: Using Self-Supervised Probing to Improve Trustworthiness. CoRR abs/2302.02628 (2023) - [i5]Ailin Deng, Miao Xiong, Bryan Hooi:
Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement. CoRR abs/2305.01481 (2023) - [i4]Miao Xiong, Ailin Deng, Pang Wei Koh, Jiaying Wu, Shen Li, Jianqing Xu, Bryan Hooi:
Proximity-Informed Calibration for Deep Neural Networks. CoRR abs/2306.04590 (2023) - [i3]Jiaying Wu, Shen Li, Ailin Deng, Miao Xiong, Bryan Hooi:
Prompt-and-Align: Prompt-Based Social Alignment for Few-Shot Fake News Detection. CoRR abs/2309.16424 (2023) - 2022
- [j2]Miao Xiong, Shen Li, Wenjie Feng, Ailin Deng, Jihai Zhang, Bryan Hooi:
Birds of a Feather Trust Together: Knowing When to Trust a Classifier via Adaptive Neighborhood Aggregation. Trans. Mach. Learn. Res. 2022 (2022) - [c5]Ailin Deng, Shen Li, Miao Xiong, Zhirui Chen, Bryan Hooi:
Trust, but Verify: Using Self-supervised Probing to Improve Trustworthiness. ECCV (13) 2022: 361-377 - [c4]Ailin Deng, Adam Goodge, Lang Yi Ang, Bryan Hooi:
CADET: Calibrated Anomaly Detection for Mitigating Hardness Bias. IJCAI 2022: 2002-2008 - [i2]Miao Xiong, Shen Li, Wenjie Feng, Ailin Deng, Jihai Zhang, Bryan Hooi:
Birds of a Feather Trust Together: Knowing When to Trust a Classifier via Adaptive Neighborhood Aggregation. CoRR abs/2211.16466 (2022) - 2021
- [c3]Ailin Deng, Bryan Hooi:
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series. AAAI 2021: 4027-4035 - [i1]Ailin Deng, Bryan Hooi:
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series. CoRR abs/2106.06947 (2021)
2010 – 2019
- 2017
- [j1]Guangyi Liu, Xueying Hou, Jing Jin, Fei Wang, Qixing Wang, Yue Hao, Yuhong Huang, Xiaoyun Wang, Xiao Xiao, Ailin Deng:
3-D-MIMO With Massive Antennas Paves the Way to 5G Enhanced Mobile Broadband: From System Design to Field Trials. IEEE J. Sel. Areas Commun. 35(6): 1222-1233 (2017)
2000 – 2009
- 2003
- [c2]Xiangdong Zhou, Qi Zhang, Lan Lin, Ailin Deng, Gang Wu:
Image retrieval by fuzzy clustering of relevance feedback records. ICME 2003: 305-308 - [c1]Xiangdong Zhou, Qi Zhang, Li Liu, Ailin Deng, Liang Zhang, Baile Shi:
An Image Retrieval Method Based on Information Filtering of User Relevance Feedback Records. WAIM 2003: 421-432
Coauthor Index
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last updated on 2024-08-27 21:59 CEST by the dblp team
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