Methods of training and constructing multilayer perceptrons with arbitrary pattern sets. - Xun Liang 001; Shaowei Xia (Int. J. Neural Syst., 1995)

How to solve the N-bit encoder problem with one hidden unit and polynomially increasing weights and thresholds. - Xun Liang 001; Shaowei Xia; Jihong Du (Neurocomputing, 1995)

Complexity Of Error Hypersurfaces In Multilayer Perceptrons. - Xun Liang 001 (Int. J. Neural Syst., 2004)

An Approach to Mining Local Causal Relationships from Databases. - Yang Bo He; Zhi Geng; Xun Liang 001 (ADMA, 2005)

Mathematical Analysis of Classifying Convex Clusters Based on Support Functionals. - Xun Liang 001 (ADMA, 2005)

Learning Causal Structures Based on Markov Equivalence Class. - Yang Bo He; Zhi Geng; Xun Liang 001 (ALT, 2005)

Complexity of Error Hypersurfaces in Multilayer Perceptrons with General Multi-input and Multi-output Architecture. - Xun Liang 001 (ISNN (1), 2005)

Impacts of Internet Stock News on Stock Markets Based on Neural Networks. - Xun Liang 001 (ISNN (2), 2005)

Optimal Pricing for Web Search Engines. - Xun Liang 001; Yang Bo He (WINE, 2005)

Pricing Options in Hong Kong Market Based on Neural Networks. - Xun Liang 001; Haisheng Zhang; Jian Yang (ICONIP (3), 2006)

Neural Network Method to Predict Stock Price Movement Based on Stock Information Entropy. - Xun Liang 001 (ISNN (2), 2006)

Mining associations between web stock news volumes and stock prices. - Xun Liang 001 (Int. J. Syst. Sci., 2006)

A Stock Pattern Recognition Algorithm Based on Neural Networks. - Xinyu Guo; Xun Liang 001; Xiang Li (ICNC (2), 2007)

The valuation of china venture capital guiding fund policy based on options model. - Kui Hu; Zhi Tang 001; Xun Liang 001 (SMC, 2007)

Removal of hidden neurons in multilayer perceptrons by orthogonal projection and weight crosswise propagation. - Xun Liang 001 (Neural Comput. Appl., 2007)

Pricing local search engines for company websites. - Xun Liang 001; Yang Bo He; Rong-Chang Chen; Jian Yang (Electron. Commer. Res. Appl., 2008)

An architecture-adaptive neural network online control system. - Xun Liang 001; Rong-Chang Chen; Jian Yang (Neural Comput. Appl., 2008)

Pruning Support Vector Machines Without Altering Performances. - Xun Liang 001; Rong-Chang Chen; Xinyu Guo (IEEE Trans. Neural Networks, 2008)

A Simple Method of Forecasting Option Prices Based on Neural Networks. - Xun Liang 001; Haisheng Zhang; Xiang Li (IEA/AIE, 2009)

Improving option price forecasts with neural networks and support vector regressions. - Xun Liang 001; Haisheng Zhang; Jianguo Xiao; Ying Chen (Neurocomputing, 2009)

Separating hypersurfaces of SVMs in input spaces. - Xun Liang 001; Chao Wang (Pattern Recognit. Lett., 2009)

How external factors influence stock market: A model based SVM. - Ying Chen; Chao Wang; Xun Liang 001 (SOLI, 2010)

Feature space versus empirical kernel map and row kernel space in SVMs. - Xun Liang 001 (Neural Comput. Appl., 2010)

A unified mathematical form for removing neurons based on orthogonal projection and crosswise propagation. - Xun Liang 001; Rong-Chang Chen (Neural Comput. Appl., 2010)

An effective method of pruning support vector machine classifiers. - Xun Liang 001 (IEEE Trans. Neural Networks, 2010)

CRM business cloud computing. - Xun Liang 001 (ICCC, 2011)

Solving Support Vector Machines beyond Dual Programming. - Xun Liang 001 (ICONIP (2), 2011)

Hyperellipsoidal Statistical Classifications in a Reproducing Kernel Hilbert Space. - Xun Liang 001; Zhihao Ni (IEEE Trans. Neural Networks, 2011)

Stock Price Forecasting with Support Vector Machines Based on Web Financial Information Sentiment Analysis. - Run Cao; Xun Liang 001; Zhihao Ni (ADMA, 2012)

Research on Viral Marketing Propagating Oriented to Marketing Context. - Li Yu 002; Qiulin Li; Xun Liang 001 (ICIS, 2012)

Collaborative Aggregation of Individual Rating for Group Evaluation. - Li Yu 002; Haiyan Zhang; Xun Liang 001 (PACIS, 2013)

Associating stock prices with web financial information time series based on support vector regression. - Xun Liang 001; Rong-Chang Chen; Yang Bo He; Ying Chen (Neurocomputing, 2013)

The coordinate descent method with stochastic optimization for linear support vector machines. - Tianyou Zheng; Xun Liang 001; Run Cao (Neural Comput. Appl., 2013)

Fast pruning superfluous support vectors in SVMs. - Xun Liang 001; Yuefeng Ma; Yang Bo He; Li Yu 002; Rong-Chang Chen; Tao Liu; Xiaoping Yang; Tung-Shou Chen (Pattern Recognit. Lett., 2013)

A Novel Forecasting Method for Large-Scale Sales Prediction Using Extreme Learning Machine. - Ming Gao; Wei Xu 008; Hongjiao Fu; Mingming Wang; Xun Liang 001 (CSO, 2014)

Features Extraction and Reconstruction of Country Risk based on Empirical EMD. - Xiaoyang Yao; Xiaolei Sun; Yuying Yang; Dengsheng Wu; Xun Liang 001 (ITQM, 2014)

A Collaborative Method of Aggregating Group Opinion Based on Incomplete Preferences. - Haiyan Zhang; Li Yu 002; Xun Liang 001 (PACIS, 2014)

Mining gold in senior executives' pockets: An online automatically trading strategy. - Chao Ma; Xun Liang 001 (ICMLC, 2015)

A Succinct Distributive Big Data Clustering Algorithm Based on Local-Remote Coordination. - Chao Ma; Xun Liang 001; Yuefeng Ma (SMC, 2015)

Emergency Decision Support Architectures for Bus Hijacking Based on Massive Image Anomaly Detection in Social Networks. - Hua Shen; Xun Liang 001; Mingming Wang (SMC, 2015)

A Novel Edge Weighting Method to Enhance Network Community Detection. - Haiyan Zhang; Chenxi Zhou; Xun Liang 001; Xi Zhao; Yaping Li (SMC, 2015)

Discerning the Trend: Concealing Deceptive Reviews. - Aakas Zhiyuli; Xun Liang 001; Yige Wang (SMC, 2015)

A Novel Trigger Model for Sales Prediction with Data Mining Techniques. - Wenjie Huang; Qing Zhang; Wei Xu 008; Hongjiao Fu; Mingming Wang; Xun Liang 001 (Data Sci. J., 2015)

Learning Structural Features of Nodes in Large-Scale Networks for Link Prediction. - Aakas Zhiyuli; Xun Liang 001; Xiaoping Zhou (AAAI, 2016)

A Time Series Forecasting Model Based on Deep Learning Integrated Algorithm with Stacked Autoencoders and SVR for FX Prediction. - Hua Shen; Xun Liang 001 (ICANN (2), 2016)

Sparse Subspace Clustering via Closure Subgraph Based on Directed Graph. - Yuefeng Ma; Xun Liang 001 (PCM (1), 2016)

Cross-Platform Identification of Anonymous Identical Users in Multiple Social Media Networks. - Xiaoping Zhou; Xun Liang 001; Haiyan Zhang; Yuefeng Ma (IEEE Trans. Knowl. Data Eng., 2016)

Learning distributed representations for large-scale dynamic social networks. - Aakas Zhiyuli; Xun Liang 001; Zhiming Xu (INFOCOM, 2017)

Joint Learning of Evolving Links for Dynamic Network Embedding. - Aakas Zhiyuli; Xun Liang 001; YanFang Chen; Peng Shu; Xiaoping Zhou (AAAI, 2018)

A Quantitative Analysis Decision System Based on Deep Learning and NSGA-II for FX Portfolio Prediction. - Hua Shen; Xun Liang 001 (IEA/AIE, 2018)

A Multiple Kernel Learning Model Based on p-Norm. - Jinshan Qi; Xun Liang 001; Rui Xu 022 (Comput. Intell. Neurosci., 2018)

On Identification of Organizational and Individual Users Based on Social Content Measurements. - Shu-Sen Zhang; Xun Liang 001; Xuan Zhang 009; Rui Xu 022 (IEEE Trans. Comput. Soc. Syst., 2018)

Structure Based User Identification across Social Networks. - Xiaoping Zhou; Xun Liang 001; Xiaoyong Du 001; Jichao Zhao (IEEE Trans. Knowl. Data Eng., 2018)

Fast-Solving Quasi-Optimal LS-S3VM Based on an Extended Candidate Set. - Yuefeng Ma; Xun Liang 001; James T. Kwok; Jianping Li 001; Xiaoping Zhou; Haiyan Zhang (IEEE Trans. Neural Networks Learn. Syst., 2018)

Exploration of polygons in online social networks. - Xiaoping Zhou; Xun Liang 001; Jichao Zhao; Aakas Zhiyuli; Haiyan Zhang (Clust. Comput., 2019)

An unsupervised user identification algorithm using network embedding and scalable nearest neighbour. - Xiaoping Zhou; Xun Liang 001; Jichao Zhao; Aakas Zhiyuli; Haiyan Zhang (Clust. Comput., 2019)

Modeling Large-Scale Dynamic Social Networks via Node Embeddings. - Aakas Zhiyuli; Xun Liang 001; YanFang Chen; Xiaoyong Du 001 (IEEE Trans. Knowl. Data Eng., 2019)

HSEM: highly scalable node embedding for link prediction in very large-scale social networks. - Aakas Zhiyuli; Xun Liang 001; YanFang Chen (World Wide Web, 2019)

Social Computing with Artificial Intelligence - Xun Liang 001 (Springer, 2020)

Distinguishing Oracle Variants Based on the Isomorphism and Symmetry Invariances of Oracle-Bone Inscriptions. - Junheng Gao; Xun Liang 001 (IEEE Access, 2020)

Building Character Graphs and Dividing Communities in Chinese Novels Based on Graph Data Extraction: Community Division for Character Emotional Polarity Networks. - Xiaolei Zhao; Xun Liang 001; Feng Tang; Xuan Zhang 009; Xiaoping Zhou; Xinyu Guo (IEEE Access, 2020)

Revisiting the Feld's Friendship Paradox in Online Social Networks. - Xiaoping Zhou; Xun Liang 001; Jichao Zhao; Haiyan Zhang; Yang Xue (IEEE Access, 2020)

Scalable Triangle Discovery Algorithm for Large Scale-Free Network with Limited Internal Memory. - Xiaoping Zhou; Xun Liang 001; Zhi Tang 001 (IEEE Trans. Big Data, 2020)

On Structural Features, User Social Behavior, and Kinship Discrimination in Communication Social Networks. - Shu-Sen Zhang; Xun Liang 001; Yu-Dang Wei; Xuan Zhang 009 (IEEE Trans. Comput. Soc. Syst., 2020)

Convex Edges in Social Networks. - Xiaoping Zhou; Xun Liang 001; Xu Zhu; Zhi Tang 001 (IEEE Trans. Comput. Soc. Syst., 2020)

RGB-D Scene Recognition based on Object-Scene Relation (Student Abstract). - Yuhui Guo; Xun Liang 001 (AAAI, 2021)

Chinese Character Image Clustering and Classification Based on Object Embedding Model (Student Abstract). - Mengting Wang; Xun Liang 001; Yang Xue (AAAI, 2021)

Analysis of the Vaccine Effect on Infectious Diseases by System Dynamics Model. - Chengzhen Zhao; Xun Liang 001; Hui Zhao (BIBE, 2021)

Graph Ensemble Networks for Semi-supervised Embedding Learning. - Hui Tang; Xun Liang 001; Bo Wu 026; Zhenyu Guan; Yuhui Guo; Xiangping Zheng (KSEM, 2021)

RGB-D Scene Recognition based on Object-Scene Relation and Semantics-Preserving Attention. - Yuhui Guo; Xun Liang 001 (ICMR, 2021)

Noniterative Sparse LS-SVM Based on Globally Representative Point Selection. - Yuefeng Ma; Xun Liang 001; Gang Sheng; James T. Kwok; Maoli Wang; Guangshun Li (IEEE Trans. Neural Networks Learn. Syst., 2021)

Capsule Graph Neural Network for Multi-Label Image Recognition (Student Abstract). - Xiangping Zheng; Xun Liang 001; Bo Wu 026 (AAAI, 2022)

Reinforced Sample Selection for Graph Neural Networks Transfer Learning. - Bo Wu 026; Xun Liang 001; Xiangping Zheng; Jun Wang; Xiaoping Zhou (BIBM, 2022)

Eureka: Neural Insight Learning for Knowledge Graph Reasoning. - Alex X. Zhang 002; Xun Liang 001; Bo Wu 026; Xiangping Zheng; Sensen Zhang; Yuhui Guo; Jun Wang; Xinyao Liu (COLING, 2022)

Graph Fine-Grained Contrastive Representation Learning. - Hui Tang; Xun Liang 001; Yuhui Guo; Xiangping Zheng; Bo Wu 026 (ICASSP, 2022)

Improving Dynamic Graph Convolutional Network with Fine-Grained Attention Mechanism. - Bo Wu 026; Xun Liang 001; Xiangping Zheng; Yuhui Guo; Hui Tang (ICASSP, 2022)

Adaptive Attention Graph Capsule Network. - Xiangping Zheng; Xun Liang 001; Bo Wu 026; Yuhui Guo; Hui Tang (ICASSP, 2022)

Context and Boundary Guided Multi-Scale Feature Fusion Network for Semantic Segmentation. - Baotong Mi; Xun Liang 001 (ICME, 2022)

Multi-Scale Transformer with Explicit Boundary Constraint for Semantic Segmentation. - Baotong Mi; Xun Liang 001 (ICME, 2022)

CoNet: Co-Embedding by Reinforcing Graph Feature and Topology Information. - Hui Tang; Xun Liang 001; Yuhui Guo; Bo Wu 026; Xiangping Zheng (ICME, 2022)

Cross-Pixel Dependency with Boundary-Feature Transformation for Weakly Supervised Semantic Segmentation. - Yuhui Guo; Xun Liang 001; Tang Hui; Bo Wu 026; Xiangping Zheng (ICMR, 2022)

When True Becomes False: Few-Shot Link Prediction beyond Binary Relations through Mining False Positive Entities. - Xuan Zhang 009; Xun Liang 001; Xiangping Zheng; Bo Wu 026; Yuhui Guo (ACM Multimedia, 2022)

Charge Own Job: Saliency Map and Visual Word Encoder for Image-Level Semantic Segmentation. - Yuhui Guo; Xun Liang 001; Hui Tang; Xiangping Zheng; Bo Wu 026; Xuan Zhang 009 (ECML/PKDD (3), 2022)

MULTIFORM: Few-Shot Knowledge Graph Completion via Multi-modal Contexts. - Xuan Zhang 009; Xun Liang 001; Xiangping Zheng; Bo Wu 026; Yuhui Guo (ECML/PKDD (2), 2022)

Graph Capsule Network with a Dual Adaptive Mechanism. - Xiangping Zheng; Xun Liang 001; Bo Wu 026; Yuhui Guo; Xuan Zhang 009 (SIGIR, 2022)

Cross-domain image retrieval: methods and applications. - Xiaoping Zhou; Xiangyu Han; Haoran Li; Jia Wang; Xun Liang 001 (Int. J. Multim. Inf. Retr., 2022)

Enhancing Dynamic GCN for Node Attribute Forecasting with Meta Spatial-Temporal Learning (Student Abstract). - Bo Wu 026; Xun Liang 001; Xiangping Zheng; Jun Wang (AAAI, 2023)

Exploiting High-Order Interaction Relations to Explore User Intent (Student Abstract). - Xiangping Zheng; Xun Liang 001; Bo Wu 026 (AAAI, 2023)

MVRACE: Multi-view Graph Contrastive Encoding for Graph Neural Network Pre-training. - Bo Wu 026; Xun Liang 001; Xiangping Zheng; Yuhui Guo; Xuan Zhang 009; Hui Tang; Jun Wang (CogSci, 2023)

BiQCap: A Biquaternion and Capsule Network-Based Embedding Model for Temporal Knowledge Graph Completion. - Sensen Zhang; Xun Liang 001; Zhiying Li 004; Junlan Feng; Xiangping Zheng; Bo Wu 026 (DASFAA (2), 2023)

Modeling High-Order Relation to Explore User Intent with Parallel Collaboration Views. - Xiangping Zheng; Xun Liang 001; Bo Wu 026; Jun Wang; Yuhui Guo; Sensen Zhang; Yuefeng Ma (DASFAA (2), 2023)

Cross-Modal Matching and Adaptive Graph Attention Network for RGB-D Scene Recognition. - Yuhui Guo; Xun Liang 001; James T. Kwok; Xiangping Zheng; Bo Wu 026; Yuefeng Ma (ICASSP, 2023)

Adaptive Submanifold-Preserving Sparse Regression for Feature Selection And Multiclass Classification. - Rui Xu 022; Xun Liang 001 (ICASSP, 2023)

Semi-Supervised Local Structured Feature Learning with Dynamic Maximum Entropy Graph. - Rui Xu 022; Xun Liang 001 (ICASSP, 2023)

Select The Best: Enhancing Graph Representation with Adaptive Negative Sample Selection. - Xiangping Zheng; Xun Liang 001; Bo Wu 026 (ICASSP, 2023)

Intent Does Matter! Propagating High-Order Relations for Exploring Interest Preferences. - Xiangping Zheng; Xun Liang 001; Bo Wu 026; Junlan Feng; Yuhui Guo; Sensen Zhang (ICASSP, 2023)

ChinaOpen: A Dataset for Open-world Multimodal Learning. - Aozhu Chen; Ziyuan Wang; Chengbo Dong; Kaibin Tian; Ruixiang Zhao; Xun Liang 001; Zhanhui Kang; Xirong Li 001 (ACM Multimedia, 2023)

Where to Find Fascinating Inter-Graph Supervision: Imbalanced Graph Classification with Kernel Information Bottleneck. - Hui Tang; Xun Liang 001 (ACM Multimedia, 2023)

Hybrid Interaction Temporal Knowledge Graph Embedding Based on Householder Transformations. - Sensen Zhang; Xun Liang 001; Hui Tang; Zhenyu Guan (ACM Multimedia, 2023)

A Multi-scale Interaction Motion Network for Action Recognition Based on Capsule Network. - Xiangping Zheng; Xun Liang 001; Bo Wu 026; Jun Wang; Yuhui Guo; Xuan Zhang 009; Yuefeng Ma (SDM, 2023)

BookGPT: A General Framework for Book Recommendation Empowered by Large Language Model. - Aakas Zhiyuli; Yanfang Chen; Xuan Zhang 009; Xun Liang 001 (CoRR, 2023)

UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation. - Xun Liang 001; Shichao Song; Simin Niu; Zhiyu Li; Feiyu Xiong; Bo Tang 011; Zhaohui Wy; Dawei He; Peng Cheng; Zhonghao Wang; Haiying Deng (CoRR, 2023)

Dual-aware Domain Mining and Cross-aware Supervision for Weakly-supervised Semantic Segmentation. - Yuhui Guo; Xun Liang 001; Bo Wu 026; Xiangping Zheng; Xuan Zhang 009 (ACM Trans. Knowl. Discov. Data, 2023)

DuCape: Dual Quaternion and Capsule Network-Based Temporal Knowledge Graph Embedding. - Sensen Zhang; Xun Liang 001; Hui Tang; Xiangping Zheng; Alex X. Zhang 002; Yuefeng Ma (ACM Trans. Knowl. Discov. Data, 2023)

Diffuse and Smooth: Beyond Truncated Receptive Field for Scalable and Adaptive Graph Representation Learning. - Hui Tang; Xun Liang 001; Yuhui Guo; Xiangping Zheng; Bo Wu 026; Sensen Zhang; Zhiying Li 004 (ACM Trans. Knowl. Discov. Data, 2023)

When Sparse Graph Representation Learning Falls into Domain Shift: Data Augmentation for Cross-Domain Graph Meta-Learning (Student Abstract). - Simin Niu; Xun Liang 001; Sensen Zhang; Shichao Song; Xuan Zhang 009; Xiaoping Zhou (AAAI, 2024)

Graph Anomaly Detection via Prototype-Aware Label Propagation (Student Abstract). - Hui Tang; Xun Liang 001; Sensen Zhang (AAAI, 2024)

Biomedical Knowledge Graph Embedding with Householder Projection (Student Abstract). - Sensen Zhang; Xun Liang 001; Simin Niu; Xuan Zhang 009; Chen Feng; Yuefeng Ma (AAAI, 2024)

UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation. - Xun Liang 001; Shichao Song; Simin Niu; Zhiyu Li; Feiyu Xiong; Bo Tang 011; Yezhaohui Wang; Dawei He; Cheng Peng; Zhonghao Wang; Haiying Deng (ACL (1), 2024)

Controlled Text Generation for Large Language Model with Dynamic Attribute Graphs. - Xun Liang 001; Hanyu Wang; Shichao Song; Mengting Hu; Xunzhi Wang; Zhiyu Li; Feiyu Xiong; Bo Tang 011 (ACL (Findings), 2024)

Temporal Knowledge Graph Embedding using Householder Transformations. - Sensen Zhang; Xun Liang 001; Simin Niu; Junlan Feng; Chen Feng; Mengwei Wang (ICASSP, 2024)

Effective and Efficient: Deeper and Faster Fusion Network for Multimodal Summarization. - Zhenyu Guan; Xun Liang 001 (IJCNN, 2024)

A Sample-driven Selection Framework: Towards Graph Contrastive Networks with Reinforcement Learning. - Xiangping Zheng; Xiuxin Hao; Bo Wu 026; Xigang Bao; Xuan Zhang 009; Wei Li 109; Xun Liang 001 (ACM Multimedia, 2024)

Friend or Foe? Mining Suspicious Behavior via Graph Capsule Infomax Detector against Fraudsters. - Xiangping Zheng; Bo Wu 026; Xun Liang 001; Wei Li 109 (WWW, 2024)

Internal Consistency and Self-Feedback in Large Language Models: A Survey. - Xun Liang 001; Shichao Song; Zifan Zheng; Hanyu Wang; Qingchen Yu; Xunkai Li; Rong-Hua Li; Feiyu Xiong; Zhiyu Li (CoRR, 2024)

Controllable Text Generation for Large Language Models: A Survey. - Xun Liang 001; Hanyu Wang; Yezhaohui Wang; Shichao Song; Jiawei Yang; Simin Niu; Jie Hu; Dan Liu; Shunyu Yao; Feiyu Xiong; Zhiyu Li (CoRR, 2024)

An radicals construction technique based on dual quaternions and hierarchical transformers. - Sensen Zhang; Xun Liang 001 (Neurocomputing, 2024)

DualGAD: Dual-bootstrapped self-supervised learning for graph anomaly detection. - Hui Tang; Xun Liang 001; Jun Wang; Sensen Zhang (Inf. Sci., 2024)

Enhancing Healthcare Recommendations: A Privacy-Protective and Interpretable Cross-Domain Framework. - Xun Liang 001; Zhiying Li 004; Hongxun Jiang (AAAI, 2025)

Integrating Large Language Models and Möbius Group Transformations for Temporal Knowledge Graph Embedding on the Riemann Sphere. - Sensen Zhang; Xun Liang 001; Simin Niu; Zhendong Niu; Bo Wu 026; Gengxin Hua; Long Wang; Zhenyu Guan; Hanyu Wang; Xuan Zhang 009; Zhiyu Li; Yuefeng Ma (AAAI, 2025)

SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model. - Xun Liang 001; Simin Niu; Zhiyu Li; Sensen Zhang; Hanyu Wang; Feiyu Xiong; Jason Zhaoxin Fan; Bo Tang 011; Jihao Zhao; Jiawei Yang; Shichao Song; Mengwei Wang (ACL (1), 2025)

Retrieval-Augmented Multilingual Citation Generation. - Xun Liang 001; Simin Niu; Sensen Zhang; Zhiyu Li; Xuan Zhang 009; Bo Wu 026; Feiyu Xiong; Bo Tang 011; Hanyu Wang; Shichao Song; Mengwei Wang; Jiawei Yang (ICASSP, 2025)

Enhancing Long-Term Capabilities of Large Language Models via Discourse Sub-graph Analysis. - Zhenyu Guan; Xun Liang 001; Sensen Zhang (ICASSP, 2025)

Found In The Distribution: Utilizing Latent Dirichlet Allocation Improves Long Context Comprehension of Large Language Models. - Zhenyu Guan; Xun Liang 001; Sensen Zhang (ICASSP, 2025)

When Sparse Graph Representation Learning Falls into Domain Shift: Feature Augmentation for Cross-Domain Graph Meta-Learning. - Simin Niu; Xun Liang 001; Sensen Zhang; Zhiyu Li; Xuan Zhang 009; Wu Bo; Hanyu Wang; Shichao Song; Mengwei Wang; Jiawei Yang (ICASSP, 2025)

Bridging Expertise: Doctor Recommendations for Cross-Disciplinary Collaborations in Online Medical Consultations. - Zhiying Li 004; Xiaonan Wu; Hongxun Jiang; Xun Liang 001 (Proc. ACM Hum. Comput. Interact., 2025)

SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model. - Xun Liang 001; Simin Niu; Zhiyu Li; Sensen Zhang; Hanyu Wang; Feiyu Xiong; Jason Zhaoxin Fan; Bo Tang 011; Shichao Song; Mengwei Wang; Jiawei Yang (CoRR, 2025)

SurveyX: Academic Survey Automation via Large Language Models. - Xun Liang 001; Jiawei Yang; Yezhaohui Wang; Chen Tang; Zifan Zheng; Shichao Song; Zehao Lin; Yebin Yang; Simin Niu; Hanyu Wang; Bo Tang 011; Feiyu Xiong; et al. (CoRR, 2025)

SEAP: Training-free Sparse Expert Activation Pruning Unlock the Brainpower of Large Language Models. - Xun Liang 001; Hanyu Wang; Huayi Lai; Simin Niu; Shichao Song; Jiawei Yang; Jihao Zhao; Feiyu Xiong; Bo Tang 011; Zhiyu Li (CoRR, 2025)