Shuang Ao

According to our database, Shuang Ao authored at least 22 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

REVEAL-IT: REinforcement learning with Visibility of Evolving Agent poLicy for InTerpretability.

Shuang Ao, Simon Khan, Haris Aziz, Flora D. Salim

CoRR, 2024

XXLTraffic: Expanding and Extremely Long Traffic Dataset for Ultra-Dynamic Forecasting Challenges.

Du Yin, Hao Xue, Arian Prabowo, Shuang Ao, Flora D. Salim

CoRR, 2024

CSS: Contrastive Semantic Similarity for Uncertainty Quantification of LLMs.

Shuang Ao, Stefan Rueger, Advaith Siddharthan

CoRR, 2024

Large Language Models for Next Point-of-Interest Recommendation.

Peibo Li, Maarten de Rijke, Hao Xue, Shuang Ao, Yang Song, Flora D. Salim

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned.

Du Yin, Jinliang Deng, Shuang Ao, Zechen Li, Hao Xue, Arian Prabowo, Renhe Jiang, Xuan Song, Flora D. Salim

Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024

2023

Curriculum Reinforcement Learning via Morphology-Environment Co-Evolution.

Shuang Ao, Tianyi Zhou, Guodong Long, Xuan Song, Jing Jiang

CoRR, 2023

Two Sides of Miscalibration: Identifying Over and Under-Confidence Prediction for Network Calibration.

Shuang Ao, Stefan Rueger, Advaith Siddharthan

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Building Safe and Reliable AI Systems for Safety Critical Tasks with Vision-Language Processing.

Shuang Ao

Proceedings of the Advances in Information Retrieval, 2023

Empirical Optimal Risk to Quantify Model Trustworthiness for Failure Detection.

Shuang Ao, Stefan Rueger, Advaith Siddharthan

Proceedings of the IJCAI-23 Joint Workshop on Artificial Intelligence Safety and Safe Reinforcement Learning (AISafety-SafeRL 2023) co-located with the 32nd International Joint Conference on Artificial Intelligence(IJCAI2023), 2023

2022

Confidence-aware calibration and scoring functions for curriculum learning.

Shuang Ao, Stefan Rueger, Advaith Siddharthan

Proceedings of the Fifteenth International Conference on Machine Vision, 2022

EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning.

Shuang Ao, Tianyi Zhou, Jing Jiang, Guodong Long, Xuan Song, Chengqi Zhang

Proceedings of the International Conference on Machine Learning, 2022

2021

CO-PILOT: COllaborative Planning and reInforcement Learning On sub-Task curriculum.

Shuang Ao, Tianyi Zhou, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning ULMFiT and Self-Distillation with Calibration for Medical Dialogue System.

Shuang Ao, Xeno Acharya

Proceedings of the 4th International Conference on Natural Language and Speech Processing, 2021

2018

Pelee: A Real-Time Object Detection System on Mobile Devices.

Robert J. Wang, Xiang Li, Shuang Ao, Charles X. Ling

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Triply Stochastic Gradients on Multiple Kernel Learning.

Xiang Li, Bin Gu, Shuang Ao, Huaimin Wang, Charles X. Ling

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Effective Multiclass Transfer for Hypothesis Transfer Learning.

Shuang Ao, Xiang Li, Charles X. Ling

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Fast Generalized Distillation for Semi-Supervised Domain Adaptation.

Shuang Ao, Xiang Li, Charles X. Ling

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2015

Adapting New Categories for Food Recognition with Deep Representation.

Shuang Ao, Charles X. Ling

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014

Mobile-based food classification for Type-2 Diabetes using nutrient and textual features.

Yan Luo, Charles X. Ling, Shuang Ao

Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

2013

Active AODE learning based on a novel sampling strategy and its application.

Jia Wu, Zhihua Cai, Xiaolin Chen, Shuang Ao

Int. J. Comput. Appl. Technol., 2013

2012

Attribute Weighting via Differential Evolution for Attribute Weighted Clonal Selection Algorithm.

Jia Wu, Zhihua Cai, Xiaolin Chen, Shuang Ao, Yongshan Zhang

J. Comput., 2012

Hybrid dynamic k-nearest-neighbour and distance and attribute weighted method for classification.

Jia Wu, Zhihua Cai, Shuang Ao

Int. J. Comput. Appl. Technol., 2012