| 2026 | AAAI | Decoupling Template Bias in CLIP: Harnessing Empty Prompts for Enhanced Few-Shot Learning. | Zhenyu Zhang, Guangyao Chen, Yixiong Zou, Zhimeng Huang, Yuhua Li |
| 2026 | ACL | EchoMLLM: Incentivizing Echocardiographic Video Understanding with Keyframe Grounding and Report Generation. | Heyu Huang, Wanran Sun, Chi Chen, Bo Chen, Zonghao Guo, Yuhua Li, Ruixuan Li, Kunlun He, Maosong Sun |
| 2026 | ACL | UMPIRE: Unveiling LLM-generated Posts via Redundant Expressions. | Xiaoquan Yi, Haixing Wu, Haozhao Wang, Yichen Li, Yuhua Li, Rui Zhang, Ruixuan Li |
| 2026 | WWW | Language-Guided Game-Theoretic Fairness in Web-Enabled Energy Networks. | Hao Wu, Yuhua Li, Yuntao Zou, Qianqi Zhang, Ruixuan Li, Zeling Xu, Wei Wang |
| 2025 | AAAI | Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning. | Ran Ma, Yixiong Zou, Yuhua Li, Ruixuan Li |
| 2025 | ACL | Migician: Revealing the Magic of Free-Form Multi-Image Grounding in Multimodal Large Language Models. | You Li, Heyu Huang, Chi Chen, Kaiyu Huang, Chao Huang, Zonghao Guo, Zhiyuan Liu, Jinan Xu, Yuhua Li, Ruixuan Li, Maosong Sun |
| 2025 | CVPR | The Devil is in Low-Level Features for Cross-Domain Few-Shot Segmentation. | Yuhan Liu, Yixiong Zou, Yuhua Li, Ruixuan Li |
| 2025 | ICCV | Revisiting Pool-Based Prompt Learning for Few-Shot Class-Incremental Learning. | Yongwei Jiang, Yixiong Zou, Yuhua Li, Ruixuan Li |
| 2025 | ICML | Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics. | Shiwei Li, Xiandi Luo, Xing Tang, Haozhao Wang, Hao Chen, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li |
| 2025 | ICML | The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning. | Shiwei Li, Xiandi Luo, Haozhao Wang, Xing Tang, Shijie Xu, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li |
| 2025 | ICML | Adapter Naturally Serves as Decoupler for Cross-Domain Few-Shot Semantic Segmentation. | Jintao Tong, Ran Ma, Yixiong Zou, Guangyao Chen, Yuhua Li, Ruixuan Li |
| 2025 | ICML | Self-Disentanglement and Re-Composition for Cross-Domain Few-Shot Segmentation. | Jintao Tong, Yixiong Zou, Guangyao Chen, Yuhua Li, Ruixuan Li |
| 2025 | ICML | Revisiting Continuity of Image Tokens for Cross-domain Few-shot Learning. | Shuai Yi, Yixiong Zou, Yuhua Li, Ruixuan Li |
| 2025 | ICML | Random Registers for Cross-Domain Few-Shot Learning. | Shuai Yi, Yixiong Zou, Yuhua Li, Ruixuan Li |
| 2024 | CVPR | Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning. | Yixiong Zou, Yicong Liu, Yiman Hu, Yuhua Li, Ruixuan Li |
| 2024 | ECAI | Adversarial Attack for Explanation Robustness of Rationalization Models. | Yuankai Zhang, Lingxiao Kong, Haozhao Wang, Ruixuan Li, Jun Wang, Yuhua Li, Wei Liu |
| 2024 | ESANN | Decision fusion based multimodal hierarchical method for speech emotion recognition from audio and text. | Nawal Alqurashi, Yuhua Li, Kirill A. Sidorov, David Marshall |
| 2024 | HPCC | FedTA: Unsupervised Federated Prototype Learning with Temperature Adaptation. | Juan Zhao, Xiaoquan Yi, Ruixuan Li, Yuhua Li, Haozhao Wang, Yichen Li, Zhiying Deng, Zijun Xu |
| 2024 | ICML | FedBAT: Communication-Efficient Federated Learning via Learnable Binarization. | Shiwei Li, Wenchao Xu, Haozhao Wang, Xing Tang, Yining Qi, Shijie Xu, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li |
| 2024 | ICML | Compositional Few-Shot Class-Incremental Learning. | Yixiong Zou, Shanghang Zhang, Haichen Zhou, Yuhua Li, Ruixuan Li |
| 2024 | IJCAI | Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot Class-Incremental Learning. | Haichen Zhou, Yixiong Zou, Ruixuan Li, Yuhua Li, Kui Xiao |
| 2024 | IJCNN | Improving Speech Emotion Recognition through Hierarchical Classification and Text Integration for Enhanced Emotional Analysis and Contextual Understanding. | Nawal Alqurashi, Yuhua Li, Kirill A. Sidorov |
| 2024 | IJCNN | Fast Explanation of RBF-Kernel SVM Models Using Activation Patterns. | Mengqi Zhang, Matthias Treder, David Marshall, Yuhua Li |
| 2024 | ISCC | Improving High-Frequency Details in Cerebellum for Brain MRI Super-Resolution. | Hanzhi Wang, David Marshall, Derek K. Jones, Yuhua Li |
| 2024 | WWW | Masked Graph Autoencoder with Non-discrete Bandwidths. | Ziwen Zhao, Yuhua Li, Yixiong Zou, Jiliang Tang, Ruixuan Li |
| 2023 | ECAI | XFed: Improving Explainability in Federated Learning by Intersection Over Union Ratio Extended Client Selection. | Juan Zhao, Yuankai Zhang, Ruixuan Li, Yuhua Li, Haozhao Wang, Xiaoquan Yi, Zhiying Deng |
| 2023 | IJCAI | CSGCL: Community-Strength-Enhanced Graph Contrastive Learning. | Han Chen, Ziwen Zhao, Yuhua Li, Yixiong Zou, Ruixuan Li, Rui Zhang |
| 2022 | IJCNN | Hyperdimensional Computing Using Time-To-Spike Neuromorphic Circuits. | Graham A. Bent, Chris Simpkin, Yuhua Li, Alun D. Preece |
| 2022 | IJCNN | A Novel Approach for Cross-Selling Insurance Products Using Positive Unlabelled Learning. | Tomas Sidorowicz, Pedro Peres, Yuhua Li |
| 2022 | KSEM | Deep Neural Factorization Machine for Recommender System. | Ronghua Zhang, Zhenlong Zhu, Changzheng Liu, Yuhua Li, Ruixuan Li |
| 2021 | IJCNN | Feature Importance Analysis for Customer Management of Insurance Products. | Misbah Sohail, Pedro Peres, Yuhua Li |
| 2021 | IJCNN | Word Sense Disambiguation based on Sequence Topic Model using sense dependency. | Qi Yang, Ruixuan Li, Yuhua Li, Xiwu Gu |
| 2020 | ECAI | Fine-Grained Text Sentiment Transfer via Dependency Parsing. | Lulu Xiao, Xiaoye Qu, Ruixuan Li, Jun Wang, Pan Zhou, Yuhua Li |
| 2020 | IJCNN | A Multi-Task Learning Approach to Improve Sentiment Analysis with Explicit Recommendation. | Olivier Habimana, Yuhua Li, Ruixuan Li, Xiwu Gu, Yuqi Peng |
| 2019 | CIKM | Imbalance Rectification in Deep Logistic Regression for Multi-Label Image Classification Using Random Noise Samples. | Wenjin Yan, Ruixuan Li, Jun Wang, Yuhua Li, Jinyang Wang, Pan Zhou, Xiwu Gu |
| 2019 | IJCNN | ST-RNet: A Time-aware Point-of-interest Recommendation Method based on Neural Network. | Lu Gao, Yuhua Li, Ruixuan Li, Zhenlong Zhu, Xiwu Gu, Olivier Habimana |
| 2019 | IJCNN | Personalizing Session-based Recommendation with Dual Attentive Neural Network. | Tianan Liang, Yuhua Li, Ruixuan Li, Xiwu Gu, Olivier Habimana, Yi Hu |
| 2019 | IROS | Toward a Human-Machine Interface Based on Electrical Impedance Tomography for Robotic Manipulator Control. | Enhao Zheng, Yuhua Li, Qining Wang, Hong Qiao |
| 2019 | SIGIR | TDP: Personalized Taxi Demand Prediction Based on Heterogeneous Graph Embedding. | Zhenlong Zhu, Ruixuan Li, Minghui Shan, Yuhua Li, Lu Gao, Fei Wang, Jixing Xu, Xiwu Gu |
| 2018 | APWEB | Rank-Integrated Topic Modeling: A General Framework. | Zhen Zhang, Ruixuan Li, Yuhua Li, Xiwu Gu |
| 2018 | ICONIP | Hashtag Recommendation with Attention-Based Neural Image Hashtagging Network. | Gaosheng Wu, Yuhua Li, Wenjin Yan, Ruixuan Li, Xiwu Gu, Qi Yang |
| 2018 | ICONIP | Self-inhibition Residual Convolutional Networks for Chinese Sentence Classification. | Mengting Xiong, Ruixuan Li, Yuhua Li, Qi Yang |
| 2018 | ICONIP | Topic-Bigram Enhanced Word Embedding Model. | Qi Yang, Ruixuan Li, Yuhua Li, Qilei Liu |
| 2018 | KSEM | Stock Price Prediction Using Time Convolution Long Short-Term Memory Network. | Xukuan Zhan, Yuhua Li, Ruixuan Li, Xiwu Gu, Olivier Habimana, Haozhao Wang |
| 2018 | KSEM | Distant Domain Adaptation for Text Classification. | Zhenlong Zhu, Yuhua Li, Ruixuan Li, Xiwu Gu |
| 2018 | WISE | Topical Authority-Sensitive Influence Maximization. | Xiaoqing Xiong, Ruixuan Li, Yuhua Li, Xiwu Gu, Tianan Liang |
| 2017 | ISNN | Web Content Extraction Using Clustering with Web Structure. | Xiaotao Huang, Yan Gao, Liqun Huang, Zhizhao Zhang, Yuhua Li, Fen Wang, Ling Kang |
| 2015 | ICA3PP | Fine-Grained Fault-Tolerant Adaptive Routing for Networks-on-Chip. | Junxiu Liu, Jim Harkin, Liam P. Maguire, Yuhua Li, Lei Wan, Yuling Luo |
| 2015 | ICONIP | Bio-Inspired Hybrid Framework for Multi-view Face Detection. | Niall McCarroll, Ammar Belatreche, Jim Harkin, Yuhua Li |
| 2015 | ICONIP | EDL: An Extended Delay Learning Based Remote Supervised Method for Spiking Neurons. | Aboozar Taherkhani, Ammar Belatreche, Yuhua Li, Liam P. Maguire |
| 2015 | IJCNN | Bio-inspired hierarchical framework for multi-view face detection and pose estimation. | Niall McCarroll, Ammar Belatreche, Jim Harkin, Yuhua Li |
| 2015 | IJCNN | Learning with covariate shift-detection and adaptation in non-stationary environments: Application to brain-computer interface. | Haider Raza, Hubert Cecotti, Yuhua Li, Girijesh Prasad |
| 2015 | IJCNN | Multi-DL-ReSuMe: Multiple neurons Delay Learning Remote Supervised Method. | Aboozar Taherkhani, Ammar Belatreche, Yuhua Li, Liam P. Maguire |
| 2015 | KSEM | Subtopic-Level Sentiment Analysis of Emergencies. | Kunmei Wen, Zhijiang Liu, Shuai Xu, Ruixuan Li, Yuhua Li, Xiwu Gu, Jie Zan |
| 2014 | ESANN | A new biologically plausible supervised learning method for spiking neurons. | Aboozar Taherkhani, Ammar Belatreche, Yuhua Li, Liam P. Maguire |
| 2014 | IJCNN | A locally adaptive boundary evolution algorithm for novelty detection using level set methods. | Xuemei Ding, Yuhua Li, Ammar Belatreche, Liam P. Maguire |
| 2014 | SIGGRAPH | 3D modeling with three-view drawings. | Shujin Lin, Songhua Xu, Yuhui Hu, Xuliang Guo, Yuhua Li, Ruomei Wang, Xiaonan Luo |
| 2013 | DASFAA | Keyword-Matched Data Skyline in Peer-to-Peer Systems. | Khaled M. Banafaa, Ruixuan Li, Kunmei Wen, Xiwu Gu, Yuhua Li |
| 2013 | ICIP | Face recognition using Hog feature and group sparse coding. | Yuhua Li, Chun Qi |
| 2013 | IJCNN | A hybrid forecasting approach using ARIMA models and self-organising fuzzy neural networks for capital markets. | Scott McDonald, Sonya A. Coleman, T. Martin McGinnity, Yuhua Li |
| 2013 | SMC | A Hidden Markov Model with Abnormal States for Detecting Stock Price Manipulation. | Yi Cao, Yuhua Li, Sonya A. Coleman, Ammar Belatreche, T. Martin McGinnity |
| 2013 | SMC | Novelty Detection Using Level Set Methods with Adaptive Boundaries. | Xuemei Ding, Yuhua Li, Ammar Belatreche, Liam P. Maguire |
| 2013 | SMC | Dataset Shift Detection in Non-stationary Environments Using EWMA Charts. | Haider Raza, Girijesh Prasad, Yuhua Li |
| 2012 | APWEB | ℓ1-Graph Based Community Detection in Online Social Networks. | Liang Huang, Ruixuan Li, Yuhua Li, Xiwu Gu, Kunmei Wen, Zhiyong Xu |
| 2012 | ICDM | RankTopic: Ranking Based Topic Modeling. | Dongsheng Duan, Yuhua Li, Ruixuan Li, Rui Zhang, Aiming Wen |
| 2012 | IJCNN | Constructing minimum volume surfaces using level set methods for novelty detection. | Xuemei Ding, Yuhua Li, Ammar Belatreche, Liam P. Maguire |
| 2011 | DIS | MEI: Mutual Enhanced Infinite Generative Model for Simultaneous Community and Topic Detection. | Dongsheng Duan, Yuhua Li, Ruixuan Li, Zhengding Lu, Aiming Wen |
| 2010 | ADMA | TGP: Mining Top-K Frequent Closed Graph Pattern without Minimum Support. | Yuhua Li, Quan Lin, Ruixuan Li, Dongsheng Duan |
| 2009 | CIKM | Community mining on dynamic weighted directed graphs. | Dongsheng Duan, Yuhua Li, Yanan Jin, Zhengding Lu |
| 2006 | WISE | The Use of Intelligent Information Access Technologies in Digital Libraries. | Jiangping Chen, Yuhua Li, Gang Li |
| 2004 | CATA | Contrast-detail Analysis of a CMOS-based Digital X-ray Imaging System. | Qirong Zhang, Yuhua Li, Ben Steele, Wei R. Chen, Xizeng Wu, John Cheung, Hong Liu |
| 2004 | FlAIRS | A Method for Measuring Sentence Similarity and iIts Application to Conversational Agents. | Yuhua Li, Zuhair Bandar, David McLean, James O'Shea |
| 2002 | IDEAL | Measuring Semantic Similarity Between Words Using Lexical Knowledge and Neural Networks. | Yuhua Li, Zuhair Bandar, David McLean |