David A. Clifton
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
35
Venues
21
Active years
2006–2026
Best venue rank
A*
Where they publish
Papers
35 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Neuro-Symbolic Federated Learning over Heterogeneous Data-Views: A Structured Approach to Distributive EHR Modelling. | Soheila Molaei, Bahareh Fatemi, Anshul Thakur, Andrew A. S. Soltan, Fazle Rabbi, Andreas L. Opdahl, Kim Branson, Patrick Schwab, Danielle Belgrave, David A. Clifton |
| 2026 | ACL | Autonomous Knowledge Graph Exploration with Adaptive Breadth-Depth Retrieval. | Joaqun Polonuer, Lucas Vittor, Iaki Arango, Ayush Noori, David A. Clifton, Luciano Del Corro, Marinka Zitnik |
| 2025 | AISTATS | Information Transfer Across Clinical Tasks via Adaptive Parameter Optimisation. | Anshul Thakur, Elena Gal, Soheila Molaei, Xiao Gu, Patrick Schwab, Danielle Belgrave, Kim Branson, David A. Clifton |
| 2025 | AISTATS | Optimising Clinical Federated Learning through Mode Connectivity-based Model Aggregation. | Anshul Thakur, Soheila Molaei, Patrick Schwab, Danielle Belgrave, Kim Branson, David A. Clifton |
| 2025 | CVPR | Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization. | Sihao Liu, Yibo Yang, Xiaojie Li, David A. Clifton, Bernard Ghanem |
| 2025 | CVPR | F^3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics. | Pramit Saha, Felix Wagner, Divyanshu Mishra, Can Peng, Anshul Thakur, David A. Clifton, Konstantinos Kamnitsas, J. Alison Noble |
| 2025 | EMNLP | DrAgent: Empowering Large Language Models as Medical Agents for Multi-hop Medical Reasoning. | Fenglin Liu, Zheng Li, Hongjian Zhou, Qingyu Yin, Jingfeng Yang, Xin Liu, Zhengyang Wang, Xianfeng Tang, Shiyang Li, Xiang He, Ruijie Wang, Bing Yin, Xiao Gu, Lei A. Clifton, David A. Clifton |
| 2025 | ICASSP | Microtitre Plate Image Augmentation with Generative Adversarial Networks. | Ru Li, Tingting Chai, Samaneh Kouchaki, David A. Clifton, Yang Yang |
| 2025 | ICCV | MARS2 2025 Challenge on Multimodal Reasoning: Datasets, Methods, Results, Discussion, and Outlook. | Peng Xu, Shengwu Xiong, Jiajun Zhang, Yaxiong Chen, Bowen Zhou, Chen Change Loy, David A. Clifton, Kyoung Mu Lee, Luc Van Gool, Ruiming He, Ruilin Yao, Xinwei Long, Jirui Huang, Kai Tian, Sa Yangbcd, Yihua Shao, Jin Feng, Yue Zhong, Jiakai Zhou, Cheng Tang, Tianyu Zou, Yifang Zhang, Junming Liang, Guoyou Li, Zhaoxiang Wang, Qiang Zhou, Yichen Zhao, Shili Xiong, Hyeongjin Nam, Jaerin Lee, Jaeyoung Chung, JoonKyu Park, Junghun Oh, Kanggeon Lee, Wooseok Lee, Juneyoung Ro, Turghun Osman, Can Hu, Chaoyang Liao, Cheng Chen, Chengcheng Han, Chenhao Qiu, Chong Peng, Cong Xu, Dailin Li, Feiyu Wang, Feng Gao, Guibo Zhu, Guopeng Tang, Haibo Lu, Han Fang, Han Qi, Hanxiao Wu, Haobo Cheng, Hongbo Sun, Hongyao Chen, Huayong Hu, Hui Lid, Jiaheng Ma, Jiang Yu, Jianing Wang, Jie Yang, Jing He, Jinglin Zhou, Jingxuan Li, Josef Kittler, Lihao Zheng, Linnan Zhao, Mengxi Jia, Muyang Yan, Nguyen Thanh Thien, Pu Luo, Qi Li, Shien Song, Shijie Dong, Shuai Shao, Shutao Li, Taofeng Xue, Tianyang Xu, Tianyi Gao, Tingting Li, Wei Zhang, Weiyang Su, Xiaodong Dong, Xiao-Jun Wu, Xiaopeng Zhou, Xin Chen, Xin Wei, Xinyi You, Xudong Kang, Xujie Zhou, Xusheng Liu, Yanan Wang, Yanbin Huang, Yang Liu, Yang Yang, Yanglin Deng, Yashu Kang, Ye Yuan, Yi Wen, Yicen Tian, Yilin Tao, Yin Tang, Yipeng Lin, Yiqing Wang, Yiting Xi, Yongkang Yu, Yumei Li, Yuxin Qin, Yuying Chen, Yuzhe Cen, Zhaofan Zou, Zhaohong Liu, Zhehao Shen, Zhenglin Du, Zhengyang Li, Zhenni Huang, Zhenwei Shao, Zhilong Song, Zhiyong Feng, Zhiyu Wang, Zhou Yu, Ziang Li, Zihan Zhai, Zijian Zhang, Ziyang Peng, Ziyun Xiao, Zongshu Li |
| 2025 | ICLR | SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking. | Xingrun Xing, Boyan Gao, Zheng Liu, David A. Clifton, Shitao Xiao, Wanpeng Zhang, Li Du, Zheng Zhang, Guoqi Li, Jiajun Zhang |
| 2025 | ICML | Oracle-MoE: Locality-preserving Routing in the Oracle Space for Memory-constrained Large Language Model Inference. | Jixian Zhou, Fang Dong, Ruijun Huang, Hengjie Cao, Mengyi Chen, Yifeng Yang, Anrui Chen, Mingzhi Dong, Yujiang Wang, Dongsheng Li, David A. Clifton, Qin Lv, Rui Zhu, Chun Zhang, Fan Yang, Tun Lu, Ning Gu, Li Shang |
| 2025 | WWW | MISE: Meta-knowledge Inheritance for Social Media-Based Stressor Estimation. | Xin Wang, Ling Feng, Huijun Zhang, Lei Cao, Kaisheng Zeng, Qi Li, Yang Ding, Yi Dai, David A. Clifton |
| 2024 | AISTATS | Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation. | Vinod Kumar Chauhan, Jiandong Zhou, Ghadeer O. Ghosheh, Soheila Molaei, David A. Clifton |
| 2024 | AISTATS | Federated Learning For Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks. | Soheila Molaei, Anshul Thakur, Ghazaleh Niknam, Andrew A. S. Soltan, Hadi Zare, David A. Clifton |
| 2024 | ECCV | CC-SAM: SAM with Cross-Feature Attention and Context for Ultrasound Image Segmentation. | Shreyank N. Gowda, David A. Clifton |
| 2024 | EMNLP | Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark. | Fenglin Liu, Zheng Li, Hongjian Zhou, Qingyu Yin, Jingfeng Yang, Xianfeng Tang, Chen Luo, Ming Zeng, Haoming Jiang, Yifan Gao, Priyanka Nigam, Sreyashi Nag, Bing Yin, Yining Hua, Xuan Zhou, Omid Rohanian, Anshul Thakur, Lei A. Clifton, David A. Clifton |
| 2024 | MICCAI | Masks and Manuscripts: Advancing Medical Pre-training with End-to-End Masking and Narrative Structuring. | Shreyank N. Gowda, David A. Clifton |
| 2023 | AISTATS | Adversarial De-confounding in Individualised Treatment Effects Estimation. | Vinod Kumar Chauhan, Soheila Molaei, Marzia Hoque Tania, Anshul Thakur, Tingting Zhu, David A. Clifton |
| 2023 | EACL | MiniALBERT: Model Distillation via Parameter-Efficient Recursive Transformers. | Mohammadmahdi Nouriborji, Omid Rohanian, Samaneh Kouchaki, David A. Clifton |
| 2023 | EMNLP | Disfluent Cues for Enhanced Speech Understanding in Large Language Models. | Morteza Rohanian, Farhad Nooralahzadeh, Omid Rohanian, David A. Clifton, Michael Krauthammer |
| 2023 | IJCNN | SMKD: Selective Mutual Knowledge Distillation. | Ziyun Li, Xinshao Wang, Neil M. Robertson, David A. Clifton, Christoph Meinel, Haojin Yang |
| 2022 | ICML | Mixture of Input-Output Hidden Markov Models for Heterogeneous Disease Progression Modeling. | Taha Ceritli, Andrew P. Creagh, David A. Clifton |
| 2022 | ICML | SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac Signals. | Dani Kiyasseh, Tingting Zhu, David A. Clifton |
| 2021 | CVPR | ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks. | Xinshao Wang, Yang Hua, Elyor Kodirov, David A. Clifton, Neil M. Robertson |
| 2021 | ICML | CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients. | Dani Kiyasseh, Tingting Zhu, David A. Clifton |
| 2020 | ICML | Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location. | Rasheed el-Bouri, David W. Eyre, Peter J. Watkinson, Tingting Zhu, David A. Clifton |
| 2018 | BSN | Visualisation of long-term ECG signals applied to post-intensive care patients. | Delaram Jarchi, Adam Mahdi, Lionel Tarassenko, David A. Clifton |
| 2018 | BSN | Estimation of HRV and SpO2 from wrist-worn commercial sensors for clinical settings. | Delaram Jarchi, Dario Salvi, Carmelo Velardo, Adam Mahdi, Lionel Tarassenko, David A. Clifton |
| 2016 | WISE | Analysis of Teens' Chronic Stress on Micro-blog. | Yuanyuan Xue, Qi Li, Liang Zhao, Jia Jia, Ling Feng, Feng Yu, David A. Clifton |
| 2015 | AAAI | A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data. | Marzyeh Ghassemi, Marco A. F. Pimentel, Tristan Naumann, Thomas Brennan, David A. Clifton, Peter Szolovits, Mengling Feng |
| 2012 | BIBE | Probabilistic detection of vital sign abnormality with Gaussian process regression. | David Wong, David A. Clifton, Lionel Tarassenko |
| 2012 | ICSE | Machine learning and software engineering in health informatics. | David A. Clifton, Jeremy Gibbons, Jim Davies, Lionel Tarassenko |
| 2011 | FedCSIS | Identification of Patient Deterioration in Vital-Sign Data using One-Class Support Vector Machines. | Lei A. Clifton, David A. Clifton, Peter J. Watkinson, Lionel Tarassenko |
| 2011 | IDEAL | Novelty Detection for Identifying Deterioration in Emergency Department Patients. | David A. Clifton, David Wong, Susannah Fleming, Sarah J. Wilson, Rob Way, Richard Pullinger, Lionel Tarassenko |
| 2006 | ISNN | Learning Shape for Jet Engine Novelty Detection. | David A. Clifton, Peter R. Bannister, Lionel Tarassenko |