Hybrid dynamic k-nearest-neighbour and distance and attribute weighted method for classification. - Jia Wu 001; Zhihua Cai; Shuang Ao (Int. J. Comput. Appl. Technol., 2012)

Attribute Weighting via Differential Evolution for Attribute Weighted Clonal Selection Algorithm. - Jia Wu 001; Zhihua Cai; Xiaolin Chen; Shuang Ao; Yongshan Zhang (J. Comput., 2012)

Active AODE learning based on a novel sampling strategy and its application. - Jia Wu 001; Zhihua Cai; Xiaolin Chen; Shuang Ao (Int. J. Comput. Appl. Technol., 2013)

Mobile-based food classification for Type-2 Diabetes using nutrient and textual features. - Yan Luo; Charles X. Ling; Shuang Ao (DSAA, 2014)

Adapting New Categories for Food Recognition with Deep Representation. - Shuang Ao; Charles X. Ling (ICDM Workshops, 2015)

Fast Generalized Distillation for Semi-Supervised Domain Adaptation. - Shuang Ao; Xiang Li 012; Charles X. Ling (AAAI, 2017)

Effective Multiclass Transfer for Hypothesis Transfer Learning. - Shuang Ao; Xiang Li 012; Charles X. Ling (PAKDD (2), 2017)

Triply Stochastic Gradients on Multiple Kernel Learning. - Xiang Li 012; Bin Gu 001; Shuang Ao; Huaimin Wang; Charles X. Ling (UAI, 2017)

Pelee: A Real-Time Object Detection System on Mobile Devices. - Robert J. Wang; Xiang Li 012; Shuang Ao; Charles X. Ling (ICLR (Workshop), 2018)

Learning ULMFiT and Self-Distillation with Calibration for Medical Dialogue System. - Shuang Ao; Xeno Acharya (ICNLSP, 2021)

CO-PILOT: COllaborative Planning and reInforcement Learning On sub-Task curriculum. - Shuang Ao; Tianyi Zhou 001; Guodong Long; Qinghua Lu 001; Liming Zhu 001; Jing Jiang 002 (NeurIPS, 2021)

EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning. - Shuang Ao; Tianyi Zhou 001; Jing Jiang 002; Guodong Long; Xuan Song 001; Chengqi Zhang (ICML, 2022)

Confidence-aware calibration and scoring functions for curriculum learning. - Shuang Ao; Stefan Rueger; Advaith Siddharthan (ICMV, 2022)

Empirical Optimal Risk to Quantify Model Trustworthiness for Failure Detection. - Shuang Ao; Stefan Rueger; Advaith Siddharthan (AISafety/SafeRL@IJCAI, 2023)

Building Safe and Reliable AI Systems for Safety Critical Tasks with Vision-Language Processing. - Shuang Ao (ECIR (3), 2023)

Two Sides of Miscalibration: Identifying Over and Under-Confidence Prediction for Network Calibration. - Shuang Ao; Stefan Rueger; Advaith Siddharthan (UAI, 2023)

Curriculum Reinforcement Learning via Morphology-Environment Co-Evolution. - Shuang Ao; Tianyi Zhou 001; Guodong Long; Xuan Song 001; Jing Jiang 002 (CoRR, 2023)

Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned. - Du Yin; Jinliang Deng; Shuang Ao; Zechen Li; Hao Xue 001; Arian Prabowo; Renhe Jiang; Xuan Song 001; Flora D. Salim (SIGSPATIAL/GIS, 2024)

Large Language Models for Next Point-of-Interest Recommendation. - Peibo Li; Maarten de Rijke; Hao Xue 001; Shuang Ao; Yang Song 001; Flora D. Salim (SIGIR, 2024)

CSS: Contrastive Semantic Similarities for Uncertainty Quantification of LLMs. - Shuang Ao; Stefan Rueger; Advaith Siddharthan (UAI, 2024)

CSS: Contrastive Semantic Similarity for Uncertainty Quantification of LLMs. - Shuang Ao; Stefan Rueger; Advaith Siddharthan (CoRR, 2024)

XXLTraffic: Expanding and Extremely Long Traffic Dataset for Ultra-Dynamic Forecasting Challenges. - Du Yin; Hao Xue 001; Arian Prabowo; Shuang Ao; Flora D. Salim (CoRR, 2024)

REVEAL-IT: REinforcement learning with Visibility of Evolving Agent poLicy for InTerpretability. - Shuang Ao; Simon Khan; Haris Aziz 001; Flora D. Salim (CoRR, 2024)

Responsible and adaptive robots in care home settings: an implementation framework analysis of a workshop with public and professionals. - Andriana Boudouraki; Maria Waheed; Rafael Mestre; Aleksandra Landowska; Athina Georgara; Jayati Deshmukh; Lokesh Singh; Ayodeji Opeyemi Abioye; Nguyen Tan Viet Tuyen; Yi Dong 002; Shuang Ao; Dominic Price; et al. (Frontiers Robotics AI, 2025)

Position: Towards a Responsible LLM-empowered Multi-Agent Systems. - Jinwei Hu; Yi Dong 002; Shuang Ao; Zhuoyun Li; Boxuan Wang; Lokesh Singh; Guangliang Cheng; Sarvapali D. Ramchurn; Xiaowei Huang 001 (CoRR, 2025)

EMAC+: Embodied Multimodal Agent for Collaborative Planning with VLM+LLM. - Shuang Ao; Flora D. Salim; Simon Khan (CoRR, 2025)

Safe Pruning LoRA: Robust Distance-Guided Pruning for Safety Alignment in Adaptation of LLMs. - Shuang Ao; Yi Dong 002; Jinwei Hu; Sarvapali D. Ramchurn (CoRR, 2025)

Refine-POI: Reinforcement Fine-Tuned Large Language Models for Next Point-of-Interest Recommendation. - Peibo Li; Shuang Ao; Hao Xue 001; Yang Song 001; Maarten de Rijke; Johan Barthélemy; Tomasz Bednarz; Flora D. Salim (CoRR, 2025)

HiT-JEPA: A Hierarchical Self-supervised Trajectory Embedding Framework for Similarity Computation. - Lihuan Li; Hao Xue 001; Shuang Ao; Yang Song 001; Flora Salim (CoRR, 2025)