Shuang Ao - RankMe

43 papers A* 4A 3B 1C 1Journal 26Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AutoB2G: A Large Language Model-Driven Agentic Framework For Automated Building-Grid Co-Simulation. CoRR Borui Zhang, Nariman Mahdavi, Subbu Sethuvenkatraman, Shuang Ao, Flora Salim
2025	J	`jnl`	EMAC+: Embodied Multimodal Agent for Collaborative Planning with VLM+LLM. CoRR Shuang Ao, Flora D. Salim, Simon Khan
2025	J	`jnl`	Embodied AI in Social Spaces: Responsible and Adaptive Robots in Complex Setting - UKAIRS 2025 (Copy). CoRR Aleksandra Landowska, Aislinn Gomez Bergin, Ayodeji Opeyemi Abioye, Jayati Deshmukh, Andriana Bouadouki, Maria Wheadon, Athina Georgara, Dominic Price, Tuyen Nguyen, Shuang Ao, Lokesh Singh, Yi Long, Raffaele Miele, Joel E. Fischer, Sarvapali D. Ramchurn
2025	J	`jnl`	HiT-JEPA: A Hierarchical Self-supervised Trajectory Embedding Framework for Similarity Computation. CoRR Lihuan Li, Hao Xue, Shuang Ao, Yang Song, Flora Salim
2025	J	`jnl`	Position: Towards a Responsible LLM-empowered Multi-Agent Systems. CoRR Jinwei Hu, Yi Dong, Shuang Ao, Zhuoyun Li, Boxuan Wang, Lokesh Singh, Guangliang Cheng, Sarvapali D. Ramchurn, Xiaowei Huang
2025	J	`jnl`	Refine-POI: Reinforcement Fine-Tuned Large Language Models for Next Point-of-Interest Recommendation. CoRR Peibo Li, Shuang Ao, Hao Xue, Yang Song, Maarten de Rijke, Johan Barthélemy, Tomasz Bednarz, Flora D. Salim
2025	J	`jnl`	Responsible and adaptive robots in care home settings: an implementation framework analysis of a workshop with public and professionals. Frontiers Robotics AI Andriana Boudouraki, Maria Waheed, Rafael Mestre, Aleksandra Landowska, Athina Georgara, Jayati Deshmukh, Lokesh Singh, Ayodeji Opeyemi Abioye, Nguyen Tan Viet Tuyen, Yi Dong, Shuang Ao, Dominic Price, Joel E. Fischer, Aislinn Gomez Bergin
2025	J	`jnl`	S3LoRA: Safe Spectral Sharpness-Guided Pruning in Adaptation of Agent Planner. CoRR Shuang Ao, Gopal Rumchurn
2025	J	`jnl`	Safe Pruning LoRA: Robust Distance-Guided Pruning for Safety Alignment in Adaptation of LLMs. CoRR Shuang Ao, Yi Dong, Jinwei Hu, Sarvapali D. Ramchurn
2025	J	`jnl`	Safe Pruning LoRA: Robust Distance-Guided Pruning for Safety Alignment in Adaptation of LLMs. Trans. Assoc. Comput. Linguistics Shuang Ao, Yi Dong, Jinwei Hu, Sarvapali D. Ramchurn
2025	J	`jnl`	Stop Reducing Responsibility in LLM-Powered Multi-Agent Systems to Local Alignment. CoRR Jinwei Hu, Yi Dong, Shuang Ao, Zhuoyun Li, Boxuan Wang, Lokesh Singh, Guangliang Cheng, Sarvapali D. Ramchurn, Xiaowei Huang
2025	—	`conf`	XXLTraffic: Expanding and Extremely Long Traffic Forecasting beyond Test Adaptation. SIGSPATIAL/GIS Du Yin, Hao Xue, Arian Prabowo, Shuang Ao, Flora Salim
2024	A	`conf`	CSS: Contrastive Semantic Similarities for Uncertainty Quantification of LLMs. UAI Shuang Ao, Stefan Rueger, Advaith Siddharthan
2024	J	`jnl`	CSS: Contrastive Semantic Similarity for Uncertainty Quantification of LLMs. CoRR Shuang Ao, Stefan Rueger, Advaith Siddharthan
2024	—	`conf`	Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned. SIGSPATIAL/GIS Du Yin, Jinliang Deng, Shuang Ao, Zechen Li, Hao Xue, Arian Prabowo, Renhe Jiang, Xuan Song, Flora D. Salim
2024	J	`jnl`	Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned. CoRR Du Yin, Jinliang Deng, Shuang Ao, Zechen Li, Hao Xue, Arian Prabowo, Renhe Jiang, Xuan Song, Flora D. Salim
2024	A*	`conf`	Large Language Models for Next Point-of-Interest Recommendation. SIGIR Peibo Li, Maarten de Rijke, Hao Xue, Shuang Ao, Yang Song, Flora D. Salim
2024	J	`jnl`	Large Language Models for Next Point-of-Interest Recommendation. CoRR Peibo Li, Maarten de Rijke, Hao Xue, Shuang Ao, Yang Song, Flora D. Salim
2024	J	`jnl`	REVEAL-IT: REinforcement learning with Visibility of Evolving Agent poLicy for InTerpretability. CoRR Shuang Ao, Simon Khan, Haris Aziz, Flora D. Salim
2024	J	`jnl`	XXLTraffic: Expanding and Extremely Long Traffic Dataset for Ultra-Dynamic Forecasting Challenges. CoRR Du Yin, Hao Xue, Arian Prabowo, Shuang Ao, Flora D. Salim
2023	—	`conf`	Building Safe and Reliable AI Systems for Safety Critical Tasks with Vision-Language Processing. ECIR (3) Shuang Ao
2023	J	`jnl`	Building Safe and Reliable AI systems for Safety Critical Tasks with Vision-Language Processing. CoRR Shuang Ao
2023	J	`jnl`	Confidence-Aware Calibration and Scoring Functions for Curriculum Learning. CoRR Shuang Ao, Stefan Rueger, Advaith Siddharthan
2023	J	`jnl`	Curriculum Reinforcement Learning via Morphology-Environment Co-Evolution. CoRR Shuang Ao, Tianyi Zhou, Guodong Long, Xuan Song, Jing Jiang
2023	—	`conf`	Empirical Optimal Risk to Quantify Model Trustworthiness for Failure Detection. AISafety/SafeRL@IJCAI Shuang Ao, Stefan Rueger, Advaith Siddharthan
2023	J	`jnl`	Empirical Optimal Risk to Quantify Model Trustworthiness for Failure Detection. CoRR Shuang Ao, Stefan Rueger, Advaith Siddharthan
2023	A	`conf`	Two Sides of Miscalibration: Identifying Over and Under-Confidence Prediction for Network Calibration. UAI Shuang Ao, Stefan Rueger, Advaith Siddharthan
2023	J	`jnl`	Two Sides of Miscalibration: Identifying Over and Under-Confidence Prediction for Network Calibration. CoRR Shuang Ao, Stefan Rueger, Advaith Siddharthan
2022	C	`conf`	Confidence-aware calibration and scoring functions for curriculum learning. ICMV Shuang Ao, Stefan Rueger, Advaith Siddharthan
2022	A*	`conf`	EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning. ICML Shuang Ao, Tianyi Zhou, Jing Jiang, Guodong Long, Xuan Song, Chengqi Zhang
2021	A*	`conf`	CO-PILOT: COllaborative Planning and reInforcement Learning On sub-Task curriculum. NeurIPS Shuang Ao, Tianyi Zhou, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang
2021	—	`conf`	Learning ULMFiT and Self-Distillation with Calibration for Medical Dialogue System. ICNLSP Shuang Ao, Xeno Acharya
2021	J	`jnl`	Learning ULMFiT and Self-Distillation with Calibration for Medical Dialogue System. CoRR Shuang Ao, Xeno Acharya
2018	—	`conf`	Pelee: A Real-Time Object Detection System on Mobile Devices. ICLR (Workshop) Robert J. Wang, Xiang Li, Shuang Ao, Charles X. Ling
2018	J	`jnl`	Pelee: A Real-Time Object Detection System on Mobile Devices. CoRR Robert J. Wang, Xiang Li, Shuang Ao, Charles X. Ling
2017	—	`conf`	Effective Multiclass Transfer for Hypothesis Transfer Learning. PAKDD (2) Shuang Ao, Xiang Li, Charles X. Ling
2017	A*	`conf`	Fast Generalized Distillation for Semi-Supervised Domain Adaptation. AAAI Shuang Ao, Xiang Li, Charles X. Ling
2017	A	`conf`	Triply Stochastic Gradients on Multiple Kernel Learning. UAI Xiang Li, Bin Gu, Shuang Ao, Huaimin Wang, Charles X. Ling
2015	—	`conf`	Adapting New Categories for Food Recognition with Deep Representation. ICDM Workshops Shuang Ao, Charles X. Ling
2014	B	`conf`	Mobile-based food classification for Type-2 Diabetes using nutrient and textual features. DSAA Yan Luo, Charles X. Ling, Shuang Ao
2013	J	`jnl`	Active AODE learning based on a novel sampling strategy and its application. Int. J. Comput. Appl. Technol. Jia Wu, Zhihua Cai, Xiaolin Chen, Shuang Ao
2012	J	`jnl`	Attribute Weighting via Differential Evolution for Attribute Weighted Clonal Selection Algorithm. J. Comput. Jia Wu, Zhihua Cai, Xiaolin Chen, Shuang Ao, Yongshan Zhang
2012	J	`jnl`	Hybrid dynamic k-nearest-neighbour and distance and attribute weighted method for classification. Int. J. Comput. Appl. Technol. Jia Wu, Zhihua Cai, Shuang Ao