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Shuang Ao
ORCID
Publication Activity (10 Years)
Years Active: 2012-2024
Publications (10 Years): 24
Top Topics
Failure Detection
Multiple Kernel
Reinforcement Learning
Language Processing
Top Venues
CoRR
UAI
ICNLSP
ICDM Workshops
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Publications
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Du Yin
,
Jinliang Deng
,
Shuang Ao
,
Zechen Li
,
Hao Xue
,
Arian Prabowo
,
Renhe Jiang
,
Xuan Song
,
Flora Salim
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned.
CoRR
(2024)
Peibo Li
,
Maarten de Rijke
,
Hao Xue
,
Shuang Ao
,
Yang Song
,
Flora D. Salim
Large Language Models for Next Point-of-Interest Recommendation.
CoRR
(2024)
Shuang Ao
,
Simon Khan
,
Haris Aziz
,
Flora D. Salim
REVEAL-IT: REinforcement learning with Visibility of Evolving Agent poLicy for InTerpretability.
CoRR
(2024)
Shuang Ao
,
Stefan Rueger
,
Advaith Siddharthan
CSS: Contrastive Semantic Similarity for Uncertainty Quantification of LLMs.
CoRR
(2024)
Peibo Li
,
Maarten de Rijke
,
Hao Xue
,
Shuang Ao
,
Yang Song
,
Flora D. Salim
Large Language Models for Next Point-of-Interest Recommendation.
SIGIR
(2024)
Du Yin
,
Hao Xue
,
Arian Prabowo
,
Shuang Ao
,
Flora Salim
XXLTraffic: Expanding and Extremely Long Traffic Dataset for Ultra-Dynamic Forecasting Challenges.
CoRR
(2024)
Shuang Ao
,
Tianyi Zhou
,
Guodong Long
,
Xuan Song
,
Jing Jiang
Curriculum Reinforcement Learning via Morphology-Environment Co-Evolution.
CoRR
(2023)
Shuang Ao
,
Stefan Rueger
,
Advaith Siddharthan
Two Sides of Miscalibration: Identifying Over and Under-Confidence Prediction for Network Calibration.
UAI
(2023)
Shuang Ao
Building Safe and Reliable AI systems for Safety Critical Tasks with Vision-Language Processing.
CoRR
(2023)
Shuang Ao
,
Stefan Rueger
,
Advaith Siddharthan
Empirical Optimal Risk to Quantify Model Trustworthiness for Failure Detection.
CoRR
(2023)
Shuang Ao
,
Stefan Rueger
,
Advaith Siddharthan
Confidence-Aware Calibration and Scoring Functions for Curriculum Learning.
CoRR
(2023)
Shuang Ao
Building Safe and Reliable AI Systems for Safety Critical Tasks with Vision-Language Processing.
ECIR (3)
(2023)
Shuang Ao
,
Stefan Rueger
,
Advaith Siddharthan
Empirical Optimal Risk to Quantify Model Trustworthiness for Failure Detection.
AISafety/SafeRL@IJCAI
(2023)
Shuang Ao
,
Stefan Rueger
,
Advaith Siddharthan
Two Sides of Miscalibration: Identifying Over and Under-Confidence Prediction for Network Calibration.
CoRR
(2023)
Shuang Ao
,
Tianyi Zhou
,
Jing Jiang
,
Guodong Long
,
Xuan Song
,
Chengqi Zhang
EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning.
ICML
(2022)
Shuang Ao
,
Xeno Acharya
Learning ULMFiT and Self-Distillation with Calibration for Medical Dialogue System.
CoRR
(2021)
Shuang Ao
,
Xeno Acharya
Learning ULMFiT and Self-Distillation with Calibration for Medical Dialogue System.
ICNLSP
(2021)
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)
Robert J. Wang
,
Xiang Li
,
Shuang Ao
,
Charles X. Ling
Pelee: A Real-Time Object Detection System on Mobile Devices.
ICLR (Workshop)
(2018)
Robert J. Wang
,
Xiang Li
,
Shuang Ao
,
Charles X. Ling
Pelee: A Real-Time Object Detection System on Mobile Devices.
CoRR
(2018)
Shuang Ao
,
Xiang Li
,
Charles X. Ling
Fast Generalized Distillation for Semi-Supervised Domain Adaptation.
AAAI
(2017)
Shuang Ao
,
Xiang Li
,
Charles X. Ling
Effective Multiclass Transfer for Hypothesis Transfer Learning.
PAKDD (2)
(2017)
Xiang Li
,
Bin Gu
,
Shuang Ao
,
Huaimin Wang
,
Charles X. Ling
Triply Stochastic Gradients on Multiple Kernel Learning.
UAI
(2017)
Shuang Ao
,
Charles X. Ling
Adapting New Categories for Food Recognition with Deep Representation.
ICDM Workshops
(2015)
Yan Luo
,
Charles X. Ling
,
Shuang Ao
Mobile-based food classification for Type-2 Diabetes using nutrient and textual features.
DSAA
(2014)
Jia Wu
,
Zhihua Cai
,
Xiaolin Chen
,
Shuang Ao
Active AODE learning based on a novel sampling strategy and its application.
Int. J. Comput. Appl. Technol.
47 (4) (2013)
Jia Wu
,
Zhihua Cai
,
Shuang Ao
Hybrid dynamic k-nearest-neighbour and distance and attribute weighted method for classification.
Int. J. Comput. Appl. Technol.
43 (4) (2012)
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) (2012)