Xun Liang - RankMe

141 papers A* 25A 4B 12C 9Misc 14Journal 53Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Empowering Large Language Models to Set Up Knowledge Retrieval Indexing via Self-Learning. IEEE Trans. Knowl. Data Eng. Simin Niu, Mengwei Wang, Xun Liang, Zhiyu Li, Sensen Zhang, Shichao Song, Hanyu Wang, Jiawei Yang, Feiyu Xiong, Chenyang Xi
2026	A*	`conf`	FAMDR: Feature-Aligned Multimodal Denoising for Reliable Diagnostic Reconciliation in Medical Imaging. AAAI Xun Liang, Zhiying Li, Hongxun Jiang
2026	A*	`conf`	From Semantics to Spectrum: A New Lens on Graph Augmentation Strategy. AAAI Xiangping Zheng, Xiuxin Hao, Bo Wu, Wei Li, Bin Ren, Bin Tang, Yuhui Guo, Xun Liang, Zhiwen Yu
2026	A*	`conf`	SEAP: Sparse Expert Activation Pruning Unlocks the Brainpower of Large Language Models. AAAI Xun Liang, Hanyu Wang, Huayi Lai, Simin Niu, Shichao Song, Jiawei Yang, Jihao Zhao, Feiyu Xiong, Bo Tang, Zhiyu Li
2026	A*	`conf`	Safe RAG by RAG: Untying the Bell That RAG Rang with the RAG Hand. AAAI Xun Liang, Mengwei Wang, Yuefeng Ma, Simin Niu
2025	A*	`conf`	Breaking Semantic Barriers: A Zero-Shot Generalized Framework for Graph Anomaly Detection. ACM Multimedia Xiangping Zheng, Xuan Feng, Bo Wu, Bin Ren, Wei Li, Xiuxin Hao, Xun Liang, Bin Tang, Zhiwen Yu
2025	J	`jnl`	Bridging Expertise: Doctor Recommendations for Cross-Disciplinary Collaborations in Online Medical Consultations. Proc. ACM Hum. Comput. Interact. Zhiying Li, Xiaonan Wu, Hongxun Jiang, Xun Liang
2025	J	`jnl`	Dissecting Role Cognition in Medical LLMs via Neuronal Ablation. CoRR Xun Liang, Huayi Lai, Hanyu Wang, Wentao Zhang, Linfeng Zhang, Yanfang Chen, Feiyu Xiong, Zhiyu Li
2025	A*	`conf`	Enhancing Healthcare Recommendations: A Privacy-Protective and Interpretable Cross-Domain Framework. AAAI Xun Liang, Zhiying Li, Hongxun Jiang
2025	Misc	`conf`	Enhancing Long-Term Capabilities of Large Language Models via Discourse Sub-graph Analysis. ICASSP Zhenyu Guan, Xun Liang, Sensen Zhang
2025	Misc	`conf`	Found In The Distribution: Utilizing Latent Dirichlet Allocation Improves Long Context Comprehension of Large Language Models. ICASSP Zhenyu Guan, Xun Liang, Sensen Zhang
2025	A*	`conf`	Integrating Large Language Models and Möbius Group Transformations for Temporal Knowledge Graph Embedding on the Riemann Sphere. AAAI 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	Misc	`conf`	Retrieval-Augmented Multilingual Citation Generation. ICASSP 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	J	`jnl`	SEAP: Training-free Sparse Expert Activation Pruning Unlock the Brainpower of Large Language Models. CoRR Xun Liang, Hanyu Wang, Huayi Lai, Simin Niu, Shichao Song, Jiawei Yang, Jihao Zhao, Feiyu Xiong, Bo Tang, Zhiyu Li
2025	—	`conf`	SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model. ACL (1) 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	J	`jnl`	SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model. CoRR Xun Liang, Simin Niu, Zhiyu Li, Sensen Zhang, Hanyu Wang, Feiyu Xiong, Jason Zhaoxin Fan, Bo Tang, Shichao Song, Mengwei Wang, Jiawei Yang
2025	J	`jnl`	SurveyX: Academic Survey Automation via Large Language Models. CoRR Xun Liang, Jiawei Yang, Yezhaohui Wang, Chen Tang, Zifan Zheng, Shichao Song, Zehao Lin, Yebin Yang, Simin Niu, Hanyu Wang, Bo Tang, Feiyu Xiong, Keming Mao, Zhiyu Li
2025	Misc	`conf`	When Sparse Graph Representation Learning Falls into Domain Shift: Feature Augmentation for Cross-Domain Graph Meta-Learning. ICASSP Simin Niu, Xun Liang, Sensen Zhang, Zhiyu Li, Xuan Zhang, Wu Bo, Hanyu Wang, Shichao Song, Mengwei Wang, Jiawei Yang
2024	A*	`conf`	A Sample-driven Selection Framework: Towards Graph Contrastive Networks with Reinforcement Learning. ACM Multimedia Xiangping Zheng, Xiuxin Hao, Bo Wu, Xigang Bao, Xuan Zhang, Wei Li, Xun Liang
2024	J	`jnl`	An radicals construction technique based on dual quaternions and hierarchical transformers. Neurocomputing Sensen Zhang, Xun Liang
2024	A*	`conf`	Biomedical Knowledge Graph Embedding with Householder Projection (Student Abstract). AAAI Sensen Zhang, Xun Liang, Simin Niu, Xuan Zhang, Chen Feng, Yuefeng Ma
2024	J	`jnl`	Controllable Text Generation for Large Language Models: A Survey. CoRR Xun Liang, Hanyu Wang, Yezhaohui Wang, Shichao Song, Jiawei Yang, Simin Niu, Jie Hu, Dan Liu, Shunyu Yao, Feiyu Xiong, Zhiyu Li
2024	—	`conf`	Controlled Text Generation for Large Language Model with Dynamic Attribute Graphs. ACL (Findings) Xun Liang, Hanyu Wang, Shichao Song, Mengting Hu, Xunzhi Wang, Zhiyu Li, Feiyu Xiong, Bo Tang
2024	J	`jnl`	Controlled Text Generation for Large Language Model with Dynamic Attribute Graphs. CoRR Xun Liang, Hanyu Wang, Shichao Song, Mengting Hu, Xunzhi Wang, Zhiyu Li, Feiyu Xiong, Bo Tang
2024	J	`jnl`	DualGAD: Dual-bootstrapped self-supervised learning for graph anomaly detection. Inf. Sci. Hui Tang, Xun Liang, Jun Wang, Sensen Zhang
2024	B	`conf`	Effective and Efficient: Deeper and Faster Fusion Network for Multimodal Summarization. IJCNN Zhenyu Guan, Xun Liang
2024	A*	`conf`	Friend or Foe? Mining Suspicious Behavior via Graph Capsule Infomax Detector against Fraudsters. WWW Xiangping Zheng, Bo Wu, Xun Liang, Wei Li
2024	A*	`conf`	Graph Anomaly Detection via Prototype-Aware Label Propagation (Student Abstract). AAAI Hui Tang, Xun Liang, Sensen Zhang
2024	J	`jnl`	Internal Consistency and Self-Feedback in Large Language Models: A Survey. CoRR Xun Liang, Shichao Song, Zifan Zheng, Hanyu Wang, Qingchen Yu, Xunkai Li, Rong-Hua Li, Feiyu Xiong, Zhiyu Li
2024	J	`jnl`	Mirror Turing Test: soul test based on poetry. Soft Comput. Jinshan Qi, Yang Xue, Xun Liang, Zihuan Feng
2024	Misc	`conf`	Temporal Knowledge Graph Embedding using Householder Transformations. ICASSP Sensen Zhang, Xun Liang, Simin Niu, Junlan Feng, Chen Feng, Mengwei Wang
2024	—	`conf`	UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation. ACL (1) Xun Liang, Shichao Song, Simin Niu, Zhiyu Li, Feiyu Xiong, Bo Tang, Yezhaohui Wang, Dawei He, Cheng Peng, Zhonghao Wang, Haiying Deng
2024	A*	`conf`	When Sparse Graph Representation Learning Falls into Domain Shift: Data Augmentation for Cross-Domain Graph Meta-Learning (Student Abstract). AAAI Simin Niu, Xun Liang, Sensen Zhang, Shichao Song, Xuan Zhang, Xiaoping Zhou
2023	A	`conf`	A Multi-scale Interaction Motion Network for Action Recognition Based on Capsule Network. SDM Xiangping Zheng, Xun Liang, Bo Wu, Jun Wang, Yuhui Guo, Xuan Zhang, Yuefeng Ma
2023	Misc	`conf`	Adaptive Submanifold-Preserving Sparse Regression for Feature Selection And Multiclass Classification. ICASSP Rui Xu, Xun Liang
2023	—	`conf`	BiQCap: A Biquaternion and Capsule Network-Based Embedding Model for Temporal Knowledge Graph Completion. DASFAA (2) Sensen Zhang, Xun Liang, Zhiying Li, Junlan Feng, Xiangping Zheng, Bo Wu
2023	J	`jnl`	BookGPT: A General Framework for Book Recommendation Empowered by Large Language Model. CoRR Aakas Zhiyuli, Yanfang Chen, Xuan Zhang, Xun Liang
2023	A*	`conf`	ChinaOpen: A Dataset for Open-world Multimodal Learning. ACM Multimedia Aozhu Chen, Ziyuan Wang, Chengbo Dong, Kaibin Tian, Ruixiang Zhao, Xun Liang, Zhanhui Kang, Xirong Li
2023	J	`jnl`	ChinaOpen: A Dataset for Open-world Multimodal Learning. CoRR Aozhu Chen, Ziyuan Wang, Chengbo Dong, Kaibin Tian, Ruixiang Zhao, Xun Liang, Zhanhui Kang, Xirong Li
2023	B	`conf`	Cross-Domain Fake News Detection Based on Coarse-Fine Grained Environments Reflecting Public Expectation. IEEE Big Data Guojun Liu, Yuefeng Ma, Xun Liang
2023	Misc	`conf`	Cross-Modal Matching and Adaptive Graph Attention Network for RGB-D Scene Recognition. ICASSP Yuhui Guo, Xun Liang, James T. Kwok, Xiangping Zheng, Bo Wu, Yuefeng Ma
2023	J	`jnl`	Diffuse and Smooth: Beyond Truncated Receptive Field for Scalable and Adaptive Graph Representation Learning. ACM Trans. Knowl. Discov. Data Hui Tang, Xun Liang, Yuhui Guo, Xiangping Zheng, Bo Wu, Sensen Zhang, Zhiying Li
2023	J	`jnl`	DuCape: Dual Quaternion and Capsule Network-Based Temporal Knowledge Graph Embedding. ACM Trans. Knowl. Discov. Data Sensen Zhang, Xun Liang, Hui Tang, Xiangping Zheng, Alex X. Zhang, Yuefeng Ma
2023	J	`jnl`	Dual-aware Domain Mining and Cross-aware Supervision for Weakly-supervised Semantic Segmentation. ACM Trans. Knowl. Discov. Data Yuhui Guo, Xun Liang, Bo Wu, Xiangping Zheng, Xuan Zhang
2023	A*	`conf`	Enhancing Dynamic GCN for Node Attribute Forecasting with Meta Spatial-Temporal Learning (Student Abstract). AAAI Bo Wu, Xun Liang, Xiangping Zheng, Jun Wang
2023	A*	`conf`	Exploiting High-Order Interaction Relations to Explore User Intent (Student Abstract). AAAI Xiangping Zheng, Xun Liang, Bo Wu
2023	A*	`conf`	Hybrid Interaction Temporal Knowledge Graph Embedding Based on Householder Transformations. ACM Multimedia Sensen Zhang, Xun Liang, Hui Tang, Zhenyu Guan
2023	Misc	`conf`	Intent Does Matter! Propagating High-Order Relations for Exploring Interest Preferences. ICASSP Xiangping Zheng, Xun Liang, Bo Wu, Junlan Feng, Yuhui Guo, Sensen Zhang
2023	B	`conf`	MVRACE: Multi-view Graph Contrastive Encoding for Graph Neural Network Pre-training. CogSci Bo Wu, Xun Liang, Xiangping Zheng, Yuhui Guo, Xuan Zhang, Hui Tang, Jun Wang
2023	—	`conf`	Modeling High-Order Relation to Explore User Intent with Parallel Collaboration Views. DASFAA (2) Xiangping Zheng, Xun Liang, Bo Wu, Jun Wang, Yuhui Guo, Sensen Zhang, Yuefeng Ma
2023	—	`conf`	Multi-view Brain Networks Construction for Alzheimer's Disease Diagnosis. BIBM Yuefeng Ma, Tengfei Zhang, Zeqi Wu, Xiaochen Mu, Xun Liang, Lanzhen Guo
2023	Misc	`conf`	Select The Best: Enhancing Graph Representation with Adaptive Negative Sample Selection. ICASSP Xiangping Zheng, Xun Liang, Bo Wu
2023	Misc	`conf`	Semi-Supervised Local Structured Feature Learning with Dynamic Maximum Entropy Graph. ICASSP Rui Xu, Xun Liang
2023	J	`jnl`	UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation. CoRR Xun Liang, Shichao Song, Simin Niu, Zhiyu Li, Feiyu Xiong, Bo Tang, Zhaohui Wy, Dawei He, Peng Cheng, Zhonghao Wang, Haiying Deng
2023	A*	`conf`	Where to Find Fascinating Inter-Graph Supervision: Imbalanced Graph Classification with Kernel Information Bottleneck. ACM Multimedia Hui Tang, Xun Liang
2022	Misc	`conf`	Adaptive Attention Graph Capsule Network. ICASSP Xiangping Zheng, Xun Liang, Bo Wu, Yuhui Guo, Hui Tang
2022	A*	`conf`	Capsule Graph Neural Network for Multi-Label Image Recognition (Student Abstract). AAAI Xiangping Zheng, Xun Liang, Bo Wu
2022	—	`conf`	Charge Own Job: Saliency Map and Visual Word Encoder for Image-Level Semantic Segmentation. ECML/PKDD (3) Yuhui Guo, Xun Liang, Hui Tang, Xiangping Zheng, Bo Wu, Xuan Zhang
2022	A	`conf`	CoNet: Co-Embedding by Reinforcing Graph Feature and Topology Information. ICME Hui Tang, Xun Liang, Yuhui Guo, Bo Wu, Xiangping Zheng
2022	A	`conf`	Context and Boundary Guided Multi-Scale Feature Fusion Network for Semantic Segmentation. ICME Baotong Mi, Xun Liang
2022	B	`conf`	Cross-Pixel Dependency with Boundary-Feature Transformation for Weakly Supervised Semantic Segmentation. ICMR Yuhui Guo, Xun Liang, Tang Hui, Bo Wu, Xiangping Zheng
2022	J	`jnl`	Cross-domain image retrieval: methods and applications. Int. J. Multim. Inf. Retr. Xiaoping Zhou, Xiangyu Han, Haoran Li, Jia Wang, Xun Liang
2022	B	`conf`	Eureka: Neural Insight Learning for Knowledge Graph Reasoning. COLING Alex X. Zhang, Xun Liang, Bo Wu, Xiangping Zheng, Sensen Zhang, Yuhui Guo, Jun Wang, Xinyao Liu
2022	A*	`conf`	Graph Capsule Network with a Dual Adaptive Mechanism. SIGIR Xiangping Zheng, Xun Liang, Bo Wu, Yuhui Guo, Xuan Zhang
2022	Misc	`conf`	Graph Fine-Grained Contrastive Representation Learning. ICASSP Hui Tang, Xun Liang, Yuhui Guo, Xiangping Zheng, Bo Wu
2022	Misc	`conf`	Improving Dynamic Graph Convolutional Network with Fine-Grained Attention Mechanism. ICASSP Bo Wu, Xun Liang, Xiangping Zheng, Yuhui Guo, Hui Tang
2022	—	`conf`	MULTIFORM: Few-Shot Knowledge Graph Completion via Multi-modal Contexts. ECML/PKDD (2) Xuan Zhang, Xun Liang, Xiangping Zheng, Bo Wu, Yuhui Guo
2022	A	`conf`	Multi-Scale Transformer with Explicit Boundary Constraint for Semantic Segmentation. ICME Baotong Mi, Xun Liang
2022	—	`conf`	Reinforced Sample Selection for Graph Neural Networks Transfer Learning. BIBM Bo Wu, Xun Liang, Xiangping Zheng, Jun Wang, Xiaoping Zhou
2022	A*	`conf`	When True Becomes False: Few-Shot Link Prediction beyond Binary Relations through Mining False Positive Entities. ACM Multimedia Xuan Zhang, Xun Liang, Xiangping Zheng, Bo Wu, Yuhui Guo
2021	C	`conf`	Analysis of the Vaccine Effect on Infectious Diseases by System Dynamics Model. BIBE Chengzhen Zhao, Xun Liang, Hui Zhao
2021	A*	`conf`	Chinese Character Image Clustering and Classification Based on Object Embedding Model (Student Abstract). AAAI Mengting Wang, Xun Liang, Yang Xue
2021	C	`conf`	Graph Ensemble Networks for Semi-supervised Embedding Learning. KSEM Hui Tang, Xun Liang, Bo Wu, Zhenyu Guan, Yuhui Guo, Xiangping Zheng
2021	J	`jnl`	Noniterative Sparse LS-SVM Based on Globally Representative Point Selection. IEEE Trans. Neural Networks Learn. Syst. Yuefeng Ma, Xun Liang, Gang Sheng, James T. Kwok, Maoli Wang, Guangshun Li
2021	A*	`conf`	RGB-D Scene Recognition based on Object-Scene Relation (Student Abstract). AAAI Yuhui Guo, Xun Liang
2021	B	`conf`	RGB-D Scene Recognition based on Object-Scene Relation and Semantics-Preserving Attention. ICMR Yuhui Guo, Xun Liang
2020	J	`jnl`	Building Character Graphs and Dividing Communities in Chinese Novels Based on Graph Data Extraction: Community Division for Character Emotional Polarity Networks. IEEE Access Xiaolei Zhao, Xun Liang, Feng Tang, Xuan Zhang, Xiaoping Zhou, Xinyu Guo
2020	J	`jnl`	Convex Edges in Social Networks. IEEE Trans. Comput. Soc. Syst. Xiaoping Zhou, Xun Liang, Xu Zhu, Zhi Tang
2020	J	`jnl`	Distinguishing Oracle Variants Based on the Isomorphism and Symmetry Invariances of Oracle-Bone Inscriptions. IEEE Access Junheng Gao, Xun Liang
2020	J	`jnl`	On Structural Features, User Social Behavior, and Kinship Discrimination in Communication Social Networks. IEEE Trans. Comput. Soc. Syst. Shu-Sen Zhang, Xun Liang, Yu-Dang Wei, Xuan Zhang
2020	J	`jnl`	Revisiting the Feld's Friendship Paradox in Online Social Networks. IEEE Access Xiaoping Zhou, Xun Liang, Jichao Zhao, Haiyan Zhang, Yang Xue
2020	J	`jnl`	Scalable Triangle Discovery Algorithm for Large Scale-Free Network with Limited Internal Memory. IEEE Trans. Big Data Xiaoping Zhou, Xun Liang, Zhi Tang
2020	—	`book`	Social Computing with Artificial Intelligence Xun Liang
2019	J	`jnl`	An unsupervised user identification algorithm using network embedding and scalable nearest neighbour. Clust. Comput. Xiaoping Zhou, Xun Liang, Jichao Zhao, Aakas Zhiyuli, Haiyan Zhang
2019	J	`jnl`	Exploration of polygons in online social networks. Clust. Comput. Xiaoping Zhou, Xun Liang, Jichao Zhao, Aakas Zhiyuli, Haiyan Zhang
2019	J	`jnl`	HSEM: highly scalable node embedding for link prediction in very large-scale social networks. World Wide Web Aakas Zhiyuli, Xun Liang, Yanfang Chen
2019	J	`jnl`	Modeling Large-Scale Dynamic Social Networks via Node Embeddings. IEEE Trans. Knowl. Data Eng. Aakas Zhiyuli, Xun Liang, Yanfang Chen, Xiaoyong Du
2018	J	`jnl`	A Multiple Kernel Learning Model Based on p-Norm. Comput. Intell. Neurosci. Jinshan Qi, Xun Liang, Rui Xu
2018	C	`conf`	A Quantitative Analysis Decision System Based on Deep Learning and NSGA-II for FX Portfolio Prediction. IEA/AIE Hua Shen, Xun Liang
2018	J	`jnl`	Fast-Solving Quasi-Optimal LS-S IEEE Trans. Neural Networks Learn. Syst. Yuefeng Ma, Xun Liang, James T. Kwok, Jianping Li, Xiaoping Zhou, Haiyan Zhang
2018	A*	`conf`	Joint Learning of Evolving Links for Dynamic Network Embedding. AAAI Aakas Zhiyuli, Xun Liang, Yanfang Chen, Peng Shu, Xiaoping Zhou
2018	J	`jnl`	On Identification of Organizational and Individual Users Based on Social Content Measurements. IEEE Trans. Comput. Soc. Syst. Shu-Sen Zhang, Xun Liang, Xuan Zhang, Rui Xu
2018	J	`jnl`	Structure Based User Identification across Social Networks. IEEE Trans. Knowl. Data Eng. Xiaoping Zhou, Xun Liang, Xiaoyong Du, Jichao Zhao
2017	A*	`conf`	Learning distributed representations for large-scale dynamic social networks. INFOCOM Aakas Zhiyuli, Xun Liang, Zhiming Xu
2016	—	`conf`	A Time Series Forecasting Model Based on Deep Learning Integrated Algorithm with Stacked Autoencoders and SVR for FX Prediction. ICANN (2) Hua Shen, Xun Liang
2016	J	`jnl`	Cross-Platform Identification of Anonymous Identical Users in Multiple Social Media Networks. IEEE Trans. Knowl. Data Eng. Xiaoping Zhou, Xun Liang, Haiyan Zhang, Yuefeng Ma
2016	A*	`conf`	Learning Structural Features of Nodes in Large-Scale Networks for Link Prediction. AAAI Aakas Zhiyuli, Xun Liang, Xiaoping Zhou
2016	—	`conf`	Sparse Subspace Clustering via Closure Subgraph Based on Directed Graph. PCM (1) Yuefeng Ma, Xun Liang
2015	B	`conf`	A Novel Edge Weighting Method to Enhance Network Community Detection. SMC Haiyan Zhang, Chenxi Zhou, Xun Liang, Xi Zhao, Yaping Li
2015	J	`jnl`	A Novel Trigger Model for Sales Prediction with Data Mining Techniques. Data Sci. J. Wenjie Huang, Qing Zhang, Wei Xu, Hongjiao Fu, Mingming Wang, Xun Liang
2015	B	`conf`	A Succinct Distributive Big Data Clustering Algorithm Based on Local-Remote Coordination. SMC Chao Ma, Xun Liang, Yuefeng Ma
2015	B	`conf`	Discerning the Trend: Concealing Deceptive Reviews. SMC Aakas Zhiyuli, Xun Liang, Yige Wang
2015	B	`conf`	Emergency Decision Support Architectures for Bus Hijacking Based on Massive Image Anomaly Detection in Social Networks. SMC Hua Shen, Xun Liang, Mingming Wang
2015	Misc	`conf`	Mining gold in senior executives' pockets: An online automatically trading strategy. ICMLC Chao Ma, Xun Liang
2014	—	`conf`	A Collaborative Method of Aggregating Group Opinion Based on Incomplete Preferences. PACIS Haiyan Zhang, Li Yu, Xun Liang
2014	—	`conf`	A Novel Forecasting Method for Large-Scale Sales Prediction Using Extreme Learning Machine. CSO Ming Gao, Wei Xu, Hongjiao Fu, Mingming Wang, Xun Liang
2014	—	`conf`	Features Extraction and Reconstruction of Country Risk based on Empirical EMD. ITQM Xiaoyang Yao, Xiaolei Sun, Yuying Yang, Dengsheng Wu, Xun Liang
2013	J	`jnl`	Associating stock prices with web financial information time series based on support vector regression. Neurocomputing Xun Liang, Rong-Chang Chen, Yang Bo He, Ying Chen
2013	—	`conf`	Collaborative Aggregation of Individual Rating for Group Evaluation. PACIS Li Yu, Haiyan Zhang, Xun Liang
2013	J	`jnl`	Fast pruning superfluous support vectors in SVMs. Pattern Recognit. Lett. Xun Liang, Yuefeng Ma, Yang Bo He, Li Yu, Rong-Chang Chen, Tao Liu, Xiaoping Yang, Tung-Shou Chen
2013	J	`jnl`	The coordinate descent method with stochastic optimization for linear support vector machines. Neural Comput. Appl. Tianyou Zheng, Xun Liang, Run Cao
2012	C	`conf`	Research on Viral Marketing Propagating Oriented to Marketing Context. ICIS Li Yu, Qiulin Li, Xun Liang
2012	C	`conf`	Stock Price Forecasting with Support Vector Machines Based on Web Financial Information Sentiment Analysis. ADMA Run Cao, Xun Liang, Zhihao Ni
2011	C	`conf`	CRM business cloud computing. ICCC Xun Liang
2011	J	`jnl`	Hyperellipsoidal Statistical Classifications in a Reproducing Kernel Hilbert Space. IEEE Trans. Neural Networks Xun Liang, Zhihao Ni
2011	—	`conf`	Solving Support Vector Machines beyond Dual Programming. ICONIP (2) Xun Liang
2010	J	`jnl`	A unified mathematical form for removing neurons based on orthogonal projection and crosswise propagation. Neural Comput. Appl. Xun Liang, Rong-Chang Chen
2010	J	`jnl`	An effective method of pruning support vector machine classifiers. IEEE Trans. Neural Networks Xun Liang
2010	J	`jnl`	Feature space versus empirical kernel map and row kernel space in SVMs. Neural Comput. Appl. Xun Liang
2010	—	`conf`	How external factors influence stock market: A model based SVM. SOLI Ying Chen, Chao Wang, Xun Liang
2009	C	`conf`	A Simple Method of Forecasting Option Prices Based on Neural Networks. IEA/AIE Xun Liang, Haisheng Zhang, Xiang Li
2009	J	`jnl`	Improving option price forecasts with neural networks and support vector regressions. Neurocomputing Xun Liang, Haisheng Zhang, Jianguo Xiao, Ying Chen
2009	J	`jnl`	Separating hypersurfaces of SVMs in input spaces. Pattern Recognit. Lett. Xun Liang, Chao Wang
2008	J	`jnl`	An architecture-adaptive neural network online control system. Neural Comput. Appl. Xun Liang, Rong-Chang Chen, Jian Yang
2008	J	`jnl`	Pricing local search engines for company websites. Electron. Commer. Res. Appl. Xun Liang, Yang Bo He, Rong-Chang Chen, Jian Yang
2008	J	`jnl`	Pruning Support Vector Machines Without Altering Performances. IEEE Trans. Neural Networks Xun Liang, Rong-Chang Chen, Xinyu Guo
2007	—	`conf`	A Stock Pattern Recognition Algorithm Based on Neural Networks. ICNC (2) Xinyu Guo, Xun Liang, Xiang Li
2007	J	`jnl`	Removal of hidden neurons in multilayer perceptrons by orthogonal projection and weight crosswise propagation. Neural Comput. Appl. Xun Liang
2007	B	`conf`	The valuation of china venture capital guiding fund policy based on options model. SMC Kui Hu, Zhi Tang, Xun Liang
2006	J	`jnl`	Mining associations between web stock news volumes and stock prices. Int. J. Syst. Sci. Xun Liang
2006	—	`conf`	Neural Network Method to Predict Stock Price Movement Based on Stock Information Entropy. ISNN (2) Xun Liang
2006	—	`conf`	Pricing Options in Hong Kong Market Based on Neural Networks. ICONIP (3) Xun Liang, Haisheng Zhang, Jian Yang
2005	C	`conf`	An Approach to Mining Local Causal Relationships from Databases. ADMA Yang Bo He, Zhi Geng, Xun Liang
2005	—	`conf`	Complexity of Error Hypersurfaces in Multilayer Perceptrons with General Multi-input and Multi-output Architecture. ISNN (1) Xun Liang
2005	—	`conf`	Impacts of Internet Stock News on Stock Markets Based on Neural Networks. ISNN (2) Xun Liang
2005	B	`conf`	Learning Causal Structures Based on Markov Equivalence Class. ALT Yang Bo He, Zhi Geng, Xun Liang
2005	C	`conf`	Mathematical Analysis of Classifying Convex Clusters Based on Support Functionals. ADMA Xun Liang
2005	—	`conf`	Optimal Pricing for Web Search Engines. WINE Xun Liang, Yang Bo He
2004	J	`jnl`	Complexity Of Error Hypersurfaces In Multilayer Perceptrons. Int. J. Neural Syst. Xun Liang
1995	J	`jnl`	How to solve the N-bit encoder problem with one hidden unit and polynomially increasing weights and thresholds. Neurocomputing Xun Liang, Shaowei Xia, Jihong Du
1995	J	`jnl`	Methods of training and constructing multilayer perceptrons with arbitrary pattern sets. Int. J. Neural Syst. Xun Liang, Shaowei Xia