| 2026 | AAAI | Enhancing Spatial Reasoning Through Visual and Textual Thinking. | Xun Liang, Xin Guo, Zhongming Jin, Weihang Pan, Penghui Shang, Deng Cai, Binbin Lin, Jieping Ye |
| 2026 | AAAI | FAMDR: Feature-Aligned Multimodal Denoising for Reliable Diagnostic Reconciliation in Medical Imaging. | Xun Liang, Zhiying Li, Hongxun Jiang |
| 2026 | AAAI | SEAP: Sparse Expert Activation Pruning Unlocks the Brainpower of Large Language Models. | Xun Liang, Hanyu Wang, Huayi Lai, Simin Niu, Shichao Song, Jiawei Yang, Jihao Zhao, Feiyu Xiong, Bo Tang, Zhiyu Li |
| 2026 | AAAI | Safe RAG by RAG: Untying the Bell That RAG Rang with the RAG Hand. | Xun Liang, Mengwei Wang, Yuefeng Ma, Simin Niu |
| 2026 | AAAI | FGD-Align: Pluralistic Alignment for Large Language Models via Fuzzy Group Decision-Making. | Weihang Pan, Zhengxu Yu, Yong Wu, Xun Liang, Zhongming Jin, Qiang Fu, Penghui Shang, Binbin Lin, Xiaofei He, Jieping Ye |
| 2026 | AAAI | From Semantics to Spectrum: A New Lens on Graph Augmentation Strategy. | Xiangping Zheng, Xiuxin Hao, Bo Wu, Wei Li, Bin Ren, Bin Tang, Yuhui Guo, Xun Liang, Zhiwen Yu |
| 2026 | ACL | RoleCDE: Benchmarking and Mitigating Role-Alignment Trade-offs in Role-Playing Agents. | Huayi Lai, Shichao Song, Simin Niu, Hanyu Wang, Jiawei Yang, Zhouxing Wang, Zhiqiang Yin, Xun Liang |
| 2026 | ACL | PibE-MPP: A Play-it-by-Ear Masking Performance Plug-in for LLMs. | Mengwei Wang, Simin Niu, Xun Liang, Yuefeng Ma, Sensen Zhang, Jiawei Yang, Shichao Song, Hanyu Wang, Huayi Lai |
| 2025 | AAAI | Enhancing Healthcare Recommendations: A Privacy-Protective and Interpretable Cross-Domain Framework. | Xun Liang, Zhiying Li, Hongxun Jiang |
| 2025 | AAAI | Integrating Large Language Models and Mbius Group Transformations for Temporal Knowledge Graph Embedding on the Riemann Sphere. | Sensen Zhang, Xun Liang, Simin Niu, Zhendong Niu, Bo Wu, Gengxin Hua, Long Wang, Zhenyu Guan, Hanyu Wang, Xuan Zhang, Zhiyu Li, Yuefeng Ma |
| 2025 | ACL | SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model. | Xun Liang, Simin Niu, Zhiyu Li, Sensen Zhang, Hanyu Wang, Feiyu Xiong, Jason Zhaoxin Fan, Bo Tang, Jihao Zhao, Jiawei Yang, Shichao Song, Mengwei Wang |
| 2025 | ICASSP | Retrieval-Augmented Multilingual Citation Generation. | Xun Liang, Simin Niu, Sensen Zhang, Zhiyu Li, Xuan Zhang, Bo Wu, Feiyu Xiong, Bo Tang, Hanyu Wang, Shichao Song, Mengwei Wang, Jiawei Yang |
| 2025 | ICASSP | Enhancing Long-Term Capabilities of Large Language Models via Discourse Sub-graph Analysis. | Zhenyu Guan, Xun Liang, Sensen Zhang |
| 2025 | ICASSP | Found In The Distribution: Utilizing Latent Dirichlet Allocation Improves Long Context Comprehension of Large Language Models. | Zhenyu Guan, Xun Liang, Sensen Zhang |
| 2025 | ICASSP | When Sparse Graph Representation Learning Falls into Domain Shift: Feature Augmentation for Cross-Domain Graph Meta-Learning. | Simin Niu, Xun Liang, Sensen Zhang, Zhiyu Li, Xuan Zhang, Wu Bo, Hanyu Wang, Shichao Song, Mengwei Wang, Jiawei Yang |
| 2024 | AAAI | When Sparse Graph Representation Learning Falls into Domain Shift: Data Augmentation for Cross-Domain Graph Meta-Learning (Student Abstract). | Simin Niu, Xun Liang, Sensen Zhang, Shichao Song, Xuan Zhang, Xiaoping Zhou |
| 2024 | AAAI | Graph Anomaly Detection via Prototype-Aware Label Propagation (Student Abstract). | Hui Tang, Xun Liang, Sensen Zhang |
| 2024 | AAAI | Biomedical Knowledge Graph Embedding with Householder Projection (Student Abstract). | Sensen Zhang, Xun Liang, Simin Niu, Xuan Zhang, Chen Feng, Yuefeng Ma |
| 2024 | ACL | UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation. | Xun Liang, Shichao Song, Simin Niu, Zhiyu Li, Feiyu Xiong, Bo Tang, Yezhaohui Wang, Dawei He, Cheng Peng, Zhonghao Wang, Haiying Deng |
| 2024 | ACL | Controlled Text Generation for Large Language Model with Dynamic Attribute Graphs. | Xun Liang, Hanyu Wang, Shichao Song, Mengting Hu, Xunzhi Wang, Zhiyu Li, Feiyu Xiong, Bo Tang |
| 2024 | ICASSP | Temporal Knowledge Graph Embedding using Householder Transformations. | Sensen Zhang, Xun Liang, Simin Niu, Junlan Feng, Chen Feng, Mengwei Wang |
| 2024 | IJCNN | Effective and Efficient: Deeper and Faster Fusion Network for Multimodal Summarization. | Zhenyu Guan, Xun Liang |
| 2024 | WWW | Friend or Foe? Mining Suspicious Behavior via Graph Capsule Infomax Detector against Fraudsters. | Xiangping Zheng, Bo Wu, Xun Liang, Wei Li |
| 2023 | AAAI | Enhancing Dynamic GCN for Node Attribute Forecasting with Meta Spatial-Temporal Learning (Student Abstract). | Bo Wu, Xun Liang, Xiangping Zheng, Jun Wang |
| 2023 | AAAI | Exploiting High-Order Interaction Relations to Explore User Intent (Student Abstract). | Xiangping Zheng, Xun Liang, Bo Wu |
| 2023 | CogSci | MVRACE: Multi-view Graph Contrastive Encoding for Graph Neural Network Pre-training. | Bo Wu, Xun Liang, Xiangping Zheng, Yuhui Guo, Xuan Zhang, Hui Tang, Jun Wang |
| 2023 | DASFAA | BiQCap: A Biquaternion and Capsule Network-Based Embedding Model for Temporal Knowledge Graph Completion. | Sensen Zhang, Xun Liang, Zhiying Li, Junlan Feng, Xiangping Zheng, Bo Wu |
| 2023 | DASFAA | Modeling High-Order Relation to Explore User Intent with Parallel Collaboration Views. | Xiangping Zheng, Xun Liang, Bo Wu, Jun Wang, Yuhui Guo, Sensen Zhang, Yuefeng Ma |
| 2023 | ICASSP | Cross-Modal Matching and Adaptive Graph Attention Network for RGB-D Scene Recognition. | Yuhui Guo, Xun Liang, James T. Kwok, Xiangping Zheng, Bo Wu, Yuefeng Ma |
| 2023 | ICASSP | Adaptive Submanifold-Preserving Sparse Regression for Feature Selection And Multiclass Classification. | Rui Xu, Xun Liang |
| 2023 | ICASSP | Semi-Supervised Local Structured Feature Learning with Dynamic Maximum Entropy Graph. | Rui Xu, Xun Liang |
| 2023 | ICASSP | Select The Best: Enhancing Graph Representation with Adaptive Negative Sample Selection. | Xiangping Zheng, Xun Liang, Bo Wu |
| 2023 | ICASSP | Intent Does Matter! Propagating High-Order Relations for Exploring Interest Preferences. | Xiangping Zheng, Xun Liang, Bo Wu, Junlan Feng, Yuhui Guo, Sensen Zhang |
| 2023 | SDM | A Multi-scale Interaction Motion Network for Action Recognition Based on Capsule Network. | Xiangping Zheng, Xun Liang, Bo Wu, Jun Wang, Yuhui Guo, Xuan Zhang, Yuefeng Ma |
| 2022 | AAAI | Capsule Graph Neural Network for Multi-Label Image Recognition (Student Abstract). | Xiangping Zheng, Xun Liang, Bo Wu |
| 2022 | COLING | Eureka: Neural Insight Learning for Knowledge Graph Reasoning. | Alex X. Zhang, Xun Liang, Bo Wu, Xiangping Zheng, Sensen Zhang, Yuhui Guo, Jun Wang, Xinyao Liu |
| 2022 | HCI | Research on Phonetic Indexing Interface in Xinhua Dictionary Based on Differences of English and Chinese Letters. | Zimei Zhao, Xumin Wu, Xun Liang |
| 2022 | ICASSP | Graph Fine-Grained Contrastive Representation Learning. | Hui Tang, Xun Liang, Yuhui Guo, Xiangping Zheng, Bo Wu |
| 2022 | ICASSP | Improving Dynamic Graph Convolutional Network with Fine-Grained Attention Mechanism. | Bo Wu, Xun Liang, Xiangping Zheng, Yuhui Guo, Hui Tang |
| 2022 | ICASSP | Adaptive Attention Graph Capsule Network. | Xiangping Zheng, Xun Liang, Bo Wu, Yuhui Guo, Hui Tang |
| 2022 | SIGIR | Graph Capsule Network with a Dual Adaptive Mechanism. | Xiangping Zheng, Xun Liang, Bo Wu, Yuhui Guo, Xuan Zhang |
| 2021 | AAAI | RGB-D Scene Recognition based on Object-Scene Relation (Student Abstract). | Yuhui Guo, Xun Liang |
| 2021 | AAAI | Chinese Character Image Clustering and Classification Based on Object Embedding Model (Student Abstract). | Mengting Wang, Xun Liang, Yang Xue |
| 2021 | KSEM | Graph Ensemble Networks for Semi-supervised Embedding Learning. | Hui Tang, Xun Liang, Bo Wu, Zhenyu Guan, Yuhui Guo, Xiangping Zheng |
| 2018 | AAAI | Joint Learning of Evolving Links for Dynamic Network Embedding. | Aakas Zhiyuli, Xun Liang, Yanfang Chen, Peng Shu, Xiaoping Zhou |
| 2017 | INFOCOM | Learning distributed representations for large-scale dynamic social networks. | Aakas Zhiyuli, Xun Liang, Zhiming Xu |
| 2016 | AAAI | Learning Structural Features of Nodes in Large-Scale Networks for Link Prediction. | Aakas Zhiyuli, Xun Liang, Xiaoping Zhou |
| 2016 | ICANN | A Time Series Forecasting Model Based on Deep Learning Integrated Algorithm with Stacked Autoencoders and SVR for FX Prediction. | Hua Shen, Xun Liang |
| 2015 | ICMLC | Mining gold in senior executives' pockets: An online automatically trading strategy. | Chao Ma, Xun Liang |
| 2015 | SMC | A Succinct Distributive Big Data Clustering Algorithm Based on Local-Remote Coordination. | Chao Ma, Xun Liang, Yuefeng Ma |
| 2015 | SMC | Emergency Decision Support Architectures for Bus Hijacking Based on Massive Image Anomaly Detection in Social Networks. | Hua Shen, Xun Liang, Mingming Wang |
| 2015 | SMC | A Novel Edge Weighting Method to Enhance Network Community Detection. | Haiyan Zhang, Chenxi Zhou, Xun Liang, Xi Zhao, Yaping Li |
| 2015 | SMC | Discerning the Trend: Concealing Deceptive Reviews. | Aakas Zhiyuli, Xun Liang, Yige Wang |
| 2012 | ADMA | Stock Price Forecasting with Support Vector Machines Based on Web Financial Information Sentiment Analysis. | Run Cao, Xun Liang, Zhihao Ni |
| 2012 | ICIS | Research on Viral Marketing Propagating Oriented to Marketing Context. | Li Yu, Qiulin Li, Xun Liang |
| 2011 | ICONIP | Solving Support Vector Machines beyond Dual Programming. | Xun Liang |
| 2007 | ICNC | A Stock Pattern Recognition Algorithm Based on Neural Networks. | Xinyu Guo, Xun Liang, Xiang Li |
| 2007 | SMC | The valuation of china venture capital guiding fund policy based on options model. | Kui Hu, Zhi Tang, Xun Liang |
| 2006 | ICONIP | Pricing Options in Hong Kong Market Based on Neural Networks. | Xun Liang, Haisheng Zhang, Jian Yang |
| 2006 | ISNN | Neural Network Method to Predict Stock Price Movement Based on Stock Information Entropy. | Xun Liang |
| 2005 | ADMA | An Approach to Mining Local Causal Relationships from Databases. | Yang Bo He, Zhi Geng, Xun Liang |
| 2005 | ADMA | Mathematical Analysis of Classifying Convex Clusters Based on Support Functionals. | Xun Liang |
| 2005 | ALT | Learning Causal Structures Based on Markov Equivalence Class. | Yang Bo He, Zhi Geng, Xun Liang |
| 2005 | ISNN | Complexity of Error Hypersurfaces in Multilayer Perceptrons with General Multi-input and Multi-output Architecture. | Xun Liang |
| 2005 | ISNN | Impacts of Internet Stock News on Stock Markets Based on Neural Networks. | Xun Liang |
| 2004 | IJCNN | A study of removing hidden neurons in cascade-correlation neural networks. | Xun Liang, Long Ma |