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Shuang Ao
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2020 – today
- 2024
- [c15]Du Yin
, Jinliang Deng
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned. SIGSPATIAL/GIS 2024: 42-53 - [c14]Peibo Li
Large Language Models for Next Point-of-Interest Recommendation. SIGIR 2024: 1463-1472 - [i12]Peibo Li, Maarten de Rijke, Hao Xue, Shuang Ao, Yang Song, Flora D. Salim:
Large Language Models for Next Point-of-Interest Recommendation. CoRR abs/2404.17591 (2024) - [i11]Shuang Ao, Stefan Rueger, Advaith Siddharthan:
CSS: Contrastive Semantic Similarity for Uncertainty Quantification of LLMs. CoRR abs/2406.03158 (2024) - [i10]Du Yin, Hao Xue, Arian Prabowo, Shuang Ao, Flora D. Salim:
XXLTraffic: Expanding and Extremely Long Traffic Dataset for Ultra-Dynamic Forecasting Challenges. CoRR abs/2406.12693 (2024) - [i9]Du Yin, Jinliang Deng, Shuang Ao, Zechen Li, Hao Xue, Arian Prabowo, Renhe Jiang, Xuan Song, Flora D. Salim:
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned. CoRR abs/2406.12709 (2024) - [i8]Shuang Ao, Simon Khan, Haris Aziz, Flora D. Salim:
REVEAL-IT: REinforcement learning with Visibility of Evolving Agent poLicy for InTerpretability. CoRR abs/2406.14214 (2024) - 2023
- [c13]Shuang Ao, Stefan Rueger, Advaith Siddharthan:
Empirical Optimal Risk to Quantify Model Trustworthiness for Failure Detection. AISafety/SafeRL@IJCAI 2023 - [c12]Shuang Ao
Building Safe and Reliable AI Systems for Safety Critical Tasks with Vision-Language Processing. ECIR (3) 2023: 423-428 - [c11]Shuang Ao, Stefan Rueger, Advaith Siddharthan:
Two Sides of Miscalibration: Identifying Over and Under-Confidence Prediction for Network Calibration. UAI 2023: 77-87 - [i7]Shuang Ao, Stefan Rueger, Advaith Siddharthan:
Confidence-Aware Calibration and Scoring Functions for Curriculum Learning. CoRR abs/2301.12589 (2023) - [i6]Shuang Ao, Stefan Rueger, Advaith Siddharthan:
Two Sides of Miscalibration: Identifying Over and Under-Confidence Prediction for Network Calibration. CoRR abs/2308.03172 (2023) - [i5]Shuang Ao:
Building Safe and Reliable AI systems for Safety Critical Tasks with Vision-Language Processing. CoRR abs/2308.03176 (2023) - [i4]Shuang Ao, Stefan Rueger, Advaith Siddharthan:
Empirical Optimal Risk to Quantify Model Trustworthiness for Failure Detection. CoRR abs/2308.03179 (2023) - [i3]Shuang Ao, Tianyi Zhou, Guodong Long, Xuan Song, Jing Jiang:
Curriculum Reinforcement Learning via Morphology-Environment Co-Evolution. CoRR abs/2309.12529 (2023) - 2022
- [c10]Shuang Ao
EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning. ICML 2022: 822-843 - [c9]Shuang Ao, Stefan Rueger, Advaith Siddharthan:
Confidence-aware calibration and scoring functions for curriculum learning. ICMV 2022 - 2021
- [c8]Shuang Ao, Xeno Acharya:
Learning ULMFiT and Self-Distillation with Calibration for Medical Dialogue System. ICNLSP 2021: 40-47 - [c7]Shuang Ao, Tianyi Zhou, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang:
CO-PILOT: COllaborative Planning and reInforcement Learning On sub-Task curriculum. NeurIPS 2021: 10444-10456 - [i2]Shuang Ao, Xeno Acharya:
Learning ULMFiT and Self-Distillation with Calibration for Medical Dialogue System. CoRR abs/2107.09625 (2021)
2010 – 2019
- 2018
- [c6]Robert J. Wang, Xiang Li, Shuang Ao, Charles X. Ling:
Pelee: A Real-Time Object Detection System on Mobile Devices. ICLR (Workshop) 2018 - [i1]Robert J. Wang, Xiang Li, Shuang Ao, Charles X. Ling:
Pelee: A Real-Time Object Detection System on Mobile Devices. CoRR abs/1804.06882 (2018) - 2017
- [c5]Shuang Ao, Xiang Li, Charles X. Ling:
Fast Generalized Distillation for Semi-Supervised Domain Adaptation. AAAI 2017: 1719-1725 - [c4]Shuang Ao, Xiang Li, Charles X. Ling:
Effective Multiclass Transfer for Hypothesis Transfer Learning. PAKDD (2) 2017: 64-75 - [c3]Xiang Li, Bin Gu, Shuang Ao, Huaimin Wang, Charles X. Ling:
Triply Stochastic Gradients on Multiple Kernel Learning. UAI 2017 - 2015
- [c2]Shuang Ao, Charles X. Ling:
Adapting New Categories for Food Recognition with Deep Representation. ICDM Workshops 2015: 1196-1203 - 2014
- [c1]Yan Luo, Charles X. Ling, Shuang Ao:
Mobile-based food classification for Type-2 Diabetes using nutrient and textual features. DSAA 2014: 563-569 - 2013
- [j3]Jia Wu
Active AODE learning based on a novel sampling strategy and its application. Int. J. Comput. Appl. Technol. 47(4): 326-333 (2013) - 2012
- [j2]Jia Wu
Hybrid dynamic k-nearest-neighbour and distance and attribute weighted method for classification. Int. J. Comput. Appl. Technol. 43(4): 378-384 (2012) - [j1]Jia Wu, Zhihua Cai, Xiaolin Chen, Shuang Ao, Yongshan Zhang:
Attribute Weighting via Differential Evolution for Attribute Weighted Clonal Selection Algorithm. J. Comput. 7(12): 3013-3019 (2012)
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last updated on 2024-12-09 22:12 CET by the dblp team
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