| 2026 | EACL | Evaluation and LLM-Guided Learning of ICD Coding Rationales. | Mingyang Li, Viktor Schlegel, Tingting Mu, Wuraola Oyewusi, Kai Kang, Goran Nenadic |
| 2025 | CVPR | Precise, Fast, and Low-cost Concept Erasure in Value Space: Orthogonal Complement Matters. | Yuan Wang, Ouxiang Li, Tingting Mu, Yanbin Hao, Kuien Liu, Xiang Wang, Xiangnan He |
| 2025 | MICCAI | 4D CardioSynth: Synthesising Dynamic Virtual Heart Populations Through Spatiotemporal Disentanglement. | Haoran Dou, Jinghan Huang, Arezoo Zakeri, Zherui Zhou, Tingting Mu, Jinming Duan, Alejandro F. Frangi |
| 2025 | UAI | Group-Agent Reinforcement Learning with Heterogeneous Agents. | Kaiyue Wu, Xiao-Jun Zeng, Tingting Mu |
| 2024 | AAAI | Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation. | Jingxuan He, Lechao Cheng, Chaowei Fang, Zunlei Feng, Tingting Mu, Mingli Song |
| 2024 | IJCNN | Data-Driven or Dataless? Detecting Indicators of Mental Health Difficulties and Negative Life Events in Financial Resilience Using Prompt-Based Learning. | Xia Cui, Terry Hanley, Muj Choudhury, Tingting Mu |
| 2023 | CVPR | Bi-Directional Distribution Alignment for Transductive Zero-Shot Learning. | Zhicai Wang, Yanbin Hao, Tingting Mu, Ouxiang Li, Shuo Wang, Xiangnan He |
| 2022 | AISTATS | Bias-Variance Decompositions for Margin Losses. | Danny Wood, Tingting Mu, Gavin Brown |
| 2021 | ICMLA | Towards Knowledge-aware Few-shot Learning with Ontology-based n-ball Concept Embeddings. | Mirantha Jayathilaka, Tingting Mu, Uli Sattler |
| 2021 | Interspeech | Identifying Indicators of Vulnerability from Short Speech Segments Using Acoustic and Textual Features. | Xia Cui, Amila Gamage, Terry Hanley, Tingting Mu |
| 2020 | ECAI | Visual-Semantic Embedding Model Informed by Structured Knowledge. | Mirantha Jayathilaka, Tingting Mu, Uli Sattler |
| 2019 | IJCNN | On Class Imbalance and Background Filtering in Visual Relationship Detection. | Alessio Sarullo, Tingting Mu |
| 2019 | NAACL | Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks. | Maolin Li, Arvid Fahlstrm Myrman, Tingting Mu, Sophia Ananiadou |
| 2018 | WWW | Question Answering Mediated by Visual Clues and Knowledge Graphs. | Fabrcio Firmino de Faria, Ricardo Usbeck, Alessio Sarullo, Tingting Mu, Andr Freitas |
| 2017 | EACL | Distributed Document and Phrase Co-embeddings for Descriptive Clustering. | Motoki Sato, Austin J. Brockmeier, Georgios Kontonatsios, Tingting Mu, John Yannis Goulermas, Jun'ichi Tsujii, Sophia Ananiadou |
| 2017 | SDM | A Graduated Non-Convexity Relaxation for Large Scale Seriation. | Xenophon Evangelopoulos, Austin J. Brockmeier, Tingting Mu, John Yannis Goulermas |
| 2015 | MMM | Image Taken Place Estimation via Geometric Constrained Spatial Layer Matching. | Yisi Zhao, Xueming Qian, Tingting Mu |
| 2010 | COLING | Imbalanced Classification Using Dictionary-based Prototypes and Hierarchical Decision Rules for Entity Sense Disambiguation. | Tingting Mu, Xinglong Wang, Jun'ichi Tsujii, Sophia Ananiadou |
| 2010 | IC3K | Proximity-based Graph Embeddings for Multi-label Classification. | Tingting Mu, Sophia Ananiadou |
| 2010 | IJCNN | Cohort-based kernel visualisation with scatter matrices. | Enrique Romero, Ana Sofia Fernandes, Tingting Mu, Paulo J. G. Lisboa |
| 2007 | ICASSP | Strict 2-Surface Proximal Classifier with Application to Breast Cancer Detection in Mammograms. | Tingting Mu, Asoke K. Nandi, Rangaraj M. Rangayyan |