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ORCIDXun Liang 0001
Person information
- affiliation: Qufu Normal University, School of Information Science, Shandong, China
- affiliation: Renmin University of China, Department of Computer Science, Beijing, China
- affiliation (PhD 1993): Tsinghua University, Beijing, China
Other persons with the same name
- Xun Liang — disambiguation page
- Xun Liang 0002
![[0000-0001-9401-7353]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-9401-7353")
— China University of Geosciences, School of Geography and Information Engineering, Wuhan, China (and 1 more) - Xun Liang 0003 — Beijing University of Technology, School of Software Engineering, China
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2020 – today
- 2024
[j40]Sensen Zhang, Xun Liang:
An radicals construction technique based on dual quaternions and hierarchical transformers. Neurocomputing 604: 128315 (2024)- [j39]Hui Tang, Xun Liang, Jun Wang, Sensen Zhang:
DualGAD: Dual-bootstrapped self-supervised learning for graph anomaly detection. Inf. Sci. 668: 120520 (2024) - [c72]Simin Niu, Xun Liang, Sensen Zhang, Shichao Song, Xuan Zhang, Xiaoping Zhou:
When Sparse Graph Representation Learning Falls into Domain Shift: Data Augmentation for Cross-Domain Graph Meta-Learning (Student Abstract). AAAI 2024: 23600-23601 - [c71]Hui Tang, Xun Liang, Sensen Zhang:
Graph Anomaly Detection via Prototype-Aware Label Propagation (Student Abstract). AAAI 2024: 23667-23668 - [c70]Sensen Zhang, Xun Liang, Simin Niu, Xuan Zhang, Chen Feng, Yuefeng Ma:
Biomedical Knowledge Graph Embedding with Householder Projection (Student Abstract). AAAI 2024: 23707-23708 - [c69]Xun Liang, Shichao Song, Simin Niu, Zhiyu Li, Feiyu Xiong, Bo Tang, Yezhaohui Wang, Dawei He, Cheng Peng, Zhonghao Wang, Haiying Deng:
UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation. ACL (1) 2024: 5266-5293 - [c68]Xun Liang, Hanyu Wang, Shichao Song, Mengting Hu, Xunzhi Wang, Zhiyu Li, Feiyu Xiong, Bo Tang:
Controlled Text Generation for Large Language Model with Dynamic Attribute Graphs. ACL (Findings) 2024: 5797-5814 - [c67]Sensen Zhang, Xun Liang, Simin Niu, Junlan Feng, Chen Feng, Mengwei Wang:
Temporal Knowledge Graph Embedding using Householder Transformations. ICASSP 2024: 10106-10110 - [c66]Xiangping Zheng, Xiuxin Hao, Bo Wu, Xigang Bao, Xuan Zhang, Wei Li, Xun Liang:
A Sample-driven Selection Framework: Towards Graph Contrastive Networks with Reinforcement Learning. ACM Multimedia 2024: 10755-10764 - [c65]Xiangping Zheng, Bo Wu, Xun Liang, Wei Li:
Friend or Foe? Mining Suspicious Behavior via Graph Capsule Infomax Detector against Fraudsters. WWW 2024: 2684-2693 - [i6]Xun Liang, Hanyu Wang, Shichao Song, Mengting Hu, Xunzhi Wang, Zhiyu Li, Feiyu Xiong, Bo Tang:
Controlled Text Generation for Large Language Model with Dynamic Attribute Graphs. CoRR abs/2402.11218 (2024) - [i5]Xun Liang, Shichao Song, Zifan Zheng, Hanyu Wang, Qingchen Yu, Xunkai Li, Rong-Hua Li, Feiyu Xiong, Zhiyu Li:
Internal Consistency and Self-Feedback in Large Language Models: A Survey. CoRR abs/2407.14507 (2024) - [i4]Xun Liang, Hanyu Wang, Yezhaohui Wang, Shichao Song, Jiawei Yang, Simin Niu, Jie Hu, Dan Liu, Shunyu Yao, Feiyu Xiong, Zhiyu Li:
Controllable Text Generation for Large Language Models: A Survey. CoRR abs/2408.12599 (2024) - 2023
- [j38]Hui Tang, Xun Liang, Yuhui Guo, Xiangping Zheng, Bo Wu, Sensen Zhang, Zhiying Li:
Diffuse and Smooth: Beyond Truncated Receptive Field for Scalable and Adaptive Graph Representation Learning. ACM Trans. Knowl. Discov. Data 17(5): 75:1-75:25 (2023) - [j37]Yuhui Guo, Xun Liang, Bo Wu, Xiangping Zheng, Xuan Zhang:
Dual-aware Domain Mining and Cross-aware Supervision for Weakly-supervised Semantic Segmentation. ACM Trans. Knowl. Discov. Data 17(7): 101:1-101:19 (2023) - [j36]Sensen Zhang, Xun Liang, Hui Tang, Xiangping Zheng, Alex X. Zhang, Yuefeng Ma:
DuCape: Dual Quaternion and Capsule Network-Based Temporal Knowledge Graph Embedding. ACM Trans. Knowl. Discov. Data 17(7): 104:1-104:19 (2023) - [c64]Bo Wu, Xun Liang, Xiangping Zheng, Jun Wang:
Enhancing Dynamic GCN for Node Attribute Forecasting with Meta Spatial-Temporal Learning (Student Abstract). AAAI 2023: 16360-16361 - [c63]Xiangping Zheng, Xun Liang, Bo Wu:
Exploiting High-Order Interaction Relations to Explore User Intent (Student Abstract). AAAI 2023: 16388-16389 - [c62]Bo Wu, Xun Liang, Xiangping Zheng, Yuhui Guo, Xuan Zhang, Hui Tang, Jun Wang:
MVRACE: Multi-view Graph Contrastive Encoding for Graph Neural Network Pre-training. CogSci 2023 - [c61]Xiangping Zheng, Xun Liang, Bo Wu, Jun Wang, Yuhui Guo, Sensen Zhang, Yuefeng Ma:
Modeling High-Order Relation to Explore User Intent with Parallel Collaboration Views. DASFAA (2) 2023: 489-504 - [c60]Sensen Zhang, Xun Liang, Zhiying Li, Junlan Feng, Xiangping Zheng, Bo Wu:
BiQCap: A Biquaternion and Capsule Network-Based Embedding Model for Temporal Knowledge Graph Completion. DASFAA (2) 2023: 673-688 - [c59]Yuhui Guo, Xun Liang, James T. Kwok, Xiangping Zheng, Bo Wu, Yuefeng Ma:
Cross-Modal Matching and Adaptive Graph Attention Network for RGB-D Scene Recognition. ICASSP 2023: 1-5 - [c58]Rui Xu, Xun Liang:
Adaptive Submanifold-Preserving Sparse Regression for Feature Selection And Multiclass Classification. ICASSP 2023: 1-5 - [c57]Rui Xu, Xun Liang:
Semi-Supervised Local Structured Feature Learning with Dynamic Maximum Entropy Graph. ICASSP 2023: 1-5 - [c56]Xiangping Zheng, Xun Liang, Bo Wu:
Select The Best: Enhancing Graph Representation with Adaptive Negative Sample Selection. ICASSP 2023: 1-5 - [c55]Xiangping Zheng, Xun Liang, Bo Wu, Junlan Feng, Yuhui Guo, Sensen Zhang:
Intent Does Matter! Propagating High-Order Relations for Exploring Interest Preferences. ICASSP 2023: 1-5 - [c54]Hui Tang, Xun Liang:
Where to Find Fascinating Inter-Graph Supervision: Imbalanced Graph Classification with Kernel Information Bottleneck. ACM Multimedia 2023: 3240-3249 - [c53]Aozhu Chen, Ziyuan Wang, Chengbo Dong, Kaibin Tian, Ruixiang Zhao, Xun Liang, Zhanhui Kang, Xirong Li:
ChinaOpen: A Dataset for Open-world Multimodal Learning. ACM Multimedia 2023: 6432-6440 - [c52]Sensen Zhang, Xun Liang, Hui Tang, Zhenyu Guan:
Hybrid Interaction Temporal Knowledge Graph Embedding Based on Householder Transformations. ACM Multimedia 2023: 8954-8962 - [c51]Xiangping Zheng, Xun Liang, Bo Wu, Jun Wang, Yuhui Guo, Xuan Zhang, Yuefeng Ma:
A Multi-scale Interaction Motion Network for Action Recognition Based on Capsule Network. SDM 2023: 505-513 - [i3]Aozhu Chen, Ziyuan Wang, Chengbo Dong, Kaibin Tian, Ruixiang Zhao, Xun Liang, Zhanhui Kang, Xirong Li:
ChinaOpen: A Dataset for Open-world Multimodal Learning. CoRR abs/2305.05880 (2023) - [i2]Aakas Zhiyuli, Yanfang Chen, Xuan Zhang, Xun Liang:
BookGPT: A General Framework for Book Recommendation Empowered by Large Language Model. CoRR abs/2305.15673 (2023) - [i1]Xun Liang, Shichao Song, Simin Niu, Zhiyu Li, Feiyu Xiong, Bo Tang, Zhaohui Wy, Dawei He, Peng Cheng, Zhonghao Wang, Haiying Deng:
UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation. CoRR abs/2311.15296 (2023) - 2022
- [j35]Xiaoping Zhou, Xiangyu Han, Haoran Li, Jia Wang, Xun Liang:
Cross-domain image retrieval: methods and applications. Int. J. Multim. Inf. Retr. 11(3): 199-218 (2022) - [c50]Xiangping Zheng, Xun Liang, Bo Wu:
Capsule Graph Neural Network for Multi-Label Image Recognition (Student Abstract). AAAI 2022: 13117-13118 - [c49]Bo Wu, Xun Liang, Xiangping Zheng, Jun Wang, Xiaoping Zhou:
Reinforced Sample Selection for Graph Neural Networks Transfer Learning. BIBM 2022: 1281-1288 - [c48]Alex X. Zhang, Xun Liang, Bo Wu, Xiangping Zheng, Sensen Zhang, Yuhui Guo, Jun Wang, Xinyao Liu:
Eureka: Neural Insight Learning for Knowledge Graph Reasoning. COLING 2022: 4517-4527 - [c47]Hui Tang, Xun Liang, Yuhui Guo, Xiangping Zheng, Bo Wu:
Graph Fine-Grained Contrastive Representation Learning. ICASSP 2022: 3478-3482 - [c46]Xiangping Zheng, Xun Liang, Bo Wu, Yuhui Guo, Hui Tang:
Adaptive Attention Graph Capsule Network. ICASSP 2022: 3588-3592 - [c45]Bo Wu, Xun Liang, Xiangping Zheng, Yuhui Guo, Hui Tang:
Improving Dynamic Graph Convolutional Network with Fine-Grained Attention Mechanism. ICASSP 2022: 3938-3942 - [c44]Baotong Mi, Xun Liang:
Context and Boundary Guided Multi-Scale Feature Fusion Network for Semantic Segmentation. ICME 2022: 1-6 - [c43]Baotong Mi, Xun Liang:
Multi-Scale Transformer with Explicit Boundary Constraint for Semantic Segmentation. ICME 2022: 1-6 - [c42]Hui Tang, Xun Liang, Yuhui Guo, Bo Wu, Xiangping Zheng:
CoNet: Co-Embedding by Reinforcing Graph Feature and Topology Information. ICME 2022: 1-6 - [c41]Yuhui Guo, Xun Liang, Tang Hui, Bo Wu, Xiangping Zheng:
Cross-Pixel Dependency with Boundary-Feature Transformation for Weakly Supervised Semantic Segmentation. ICMR 2022: 554-561 - [c40]Xuan Zhang, Xun Liang, Xiangping Zheng, Bo Wu, Yuhui Guo:
When True Becomes False: Few-Shot Link Prediction beyond Binary Relations through Mining False Positive Entities. ACM Multimedia 2022: 4063-4071 - [c39]Xuan Zhang, Xun Liang, Xiangping Zheng, Bo Wu, Yuhui Guo:
MULTIFORM: Few-Shot Knowledge Graph Completion via Multi-modal Contexts. ECML/PKDD (2) 2022: 172-187 - [c38]Yuhui Guo, Xun Liang, Hui Tang, Xiangping Zheng, Bo Wu, Xuan Zhang:
Charge Own Job: Saliency Map and Visual Word Encoder for Image-Level Semantic Segmentation. ECML/PKDD (3) 2022: 546-561 - [c37]Xiangping Zheng, Xun Liang, Bo Wu, Yuhui Guo, Xuan Zhang:
Graph Capsule Network with a Dual Adaptive Mechanism. SIGIR 2022: 1859-1864 - 2021
- [j34]Yuefeng Ma, Xun Liang, Gang Sheng, James T. Kwok, Maoli Wang, Guangshun Li:
Noniterative Sparse LS-SVM Based on Globally Representative Point Selection. IEEE Trans. Neural Networks Learn. Syst. 32(2): 788-798 (2021) - [c36]Yuhui Guo, Xun Liang:
RGB-D Scene Recognition based on Object-Scene Relation (Student Abstract). AAAI 2021: 15787-15788 - [c35]Mengting Wang, Xun Liang, Yang Xue:
Chinese Character Image Clustering and Classification Based on Object Embedding Model (Student Abstract). AAAI 2021: 15913-15914 - [c34]Chengzhen Zhao, Xun Liang, Hui Zhao:
Analysis of the Vaccine Effect on Infectious Diseases by System Dynamics Model. BIBE 2021: 18:1-18:5 - [c33]Hui Tang, Xun Liang, Bo Wu, Zhenyu Guan, Yuhui Guo, Xiangping Zheng:
Graph Ensemble Networks for Semi-supervised Embedding Learning. KSEM 2021: 408-420 - [c32]Yuhui Guo, Xun Liang:
RGB-D Scene Recognition based on Object-Scene Relation and Semantics-Preserving Attention. ICMR 2021: 127-134 - 2020
- [b1]Xun Liang:
Social Computing with Artificial Intelligence. Springer 2020, ISBN 978-981-15-7759-8, pp. 1-289 - [j33]Xiaoping Zhou, Xun Liang, Jichao Zhao, Haiyan Zhang, Yang Xue:
Revisiting the Feld's Friendship Paradox in Online Social Networks. IEEE Access 8: 24062-24071 (2020) - [j32]Xiaolei Zhao, Xun Liang, Feng Tang, Xuan Zhang, Xiaoping Zhou, Xinyu Guo:
Building Character Graphs and Dividing Communities in Chinese Novels Based on Graph Data Extraction: Community Division for Character Emotional Polarity Networks. IEEE Access 8: 95559-95573 (2020) - [j31]Junheng Gao, Xun Liang:
Distinguishing Oracle Variants Based on the Isomorphism and Symmetry Invariances of Oracle-Bone Inscriptions. IEEE Access 8: 152258-152275 (2020) - [j30]Xiaoping Zhou, Xun Liang, Zhi Tang:
Scalable Triangle Discovery Algorithm for Large Scale-Free Network with Limited Internal Memory. IEEE Trans. Big Data 6(4): 757-769 (2020) - [j29]Xiaoping Zhou, Xun Liang, Xu Zhu, Zhi Tang:
Convex Edges in Social Networks. IEEE Trans. Comput. Soc. Syst. 7(1): 58-67 (2020) - [j28]Shu-Sen Zhang, Xun Liang, Yu-Dang Wei, Xuan Zhang:
On Structural Features, User Social Behavior, and Kinship Discrimination in Communication Social Networks. IEEE Trans. Comput. Soc. Syst. 7(2): 425-436 (2020)
2010 – 2019
- 2019
- [j27]Xiaoping Zhou, Xun Liang, Jichao Zhao, Aakas Zhiyuli, Haiyan Zhang:
Exploration of polygons in online social networks. Clust. Comput. 22(Supplement): 3841-3848 (2019) - [j26]Xiaoping Zhou, Xun Liang, Jichao Zhao, Aakas Zhiyuli, Haiyan Zhang:
An unsupervised user identification algorithm using network embedding and scalable nearest neighbour. Clust. Comput. 22(Supplement): 8677-8687 (2019) - [j25]Aakas Zhiyuli, Xun Liang, YanFang Chen, Xiaoyong Du:
Modeling Large-Scale Dynamic Social Networks via Node Embeddings. IEEE Trans. Knowl. Data Eng. 31(10): 1994-2007 (2019) - [j24]Aakas Zhiyuli, Xun Liang, YanFang Chen:
HSEM: highly scalable node embedding for link prediction in very large-scale social networks. World Wide Web 22(6): 2799-2824 (2019) - 2018
- [j23]Jinshan Qi, Xun Liang, Rui Xu:
A Multiple Kernel Learning Model Based on p-Norm. Comput. Intell. Neurosci. 2018: 1018789:1-1018789:7 (2018) - [j22]Shu-Sen Zhang, Xun Liang, Xuan Zhang, Rui Xu:
On Identification of Organizational and Individual Users Based on Social Content Measurements. IEEE Trans. Comput. Soc. Syst. 5(4): 961-972 (2018) - [j21]Xiaoping Zhou, Xun Liang, Xiaoyong Du, Jichao Zhao:
Structure Based User Identification across Social Networks. IEEE Trans. Knowl. Data Eng. 30(6): 1178-1191 (2018) - [j20]Yuefeng Ma, Xun Liang, James T. Kwok, Jianping Li, Xiaoping Zhou, Haiyan Zhang:
Fast-Solving Quasi-Optimal LS-S3VM Based on an Extended Candidate Set. IEEE Trans. Neural Networks Learn. Syst. 29(4): 1120-1131 (2018) - [c31]Aakas Zhiyuli, Xun Liang, YanFang Chen, Peng Shu, Xiaoping Zhou:
Joint Learning of Evolving Links for Dynamic Network Embedding. AAAI 2018: 8189-8190 - [c30]Hua Shen, Xun Liang:
A Quantitative Analysis Decision System Based on Deep Learning and NSGA-II for FX Portfolio Prediction. IEA/AIE 2018: 572-579 - 2017
- [c29]Aakas Zhiyuli, Xun Liang, Zhiming Xu:
Learning distributed representations for large-scale dynamic social networks. INFOCOM 2017: 1-9 - 2016
- [j19]Xiaoping Zhou, Xun Liang, Haiyan Zhang, Yuefeng Ma:
Cross-Platform Identification of Anonymous Identical Users in Multiple Social Media Networks. IEEE Trans. Knowl. Data Eng. 28(2): 411-424 (2016) - [c28]Aakas Zhiyuli, Xun Liang, Xiaoping Zhou:
Learning Structural Features of Nodes in Large-Scale Networks for Link Prediction. AAAI 2016: 4286-4288 - [c27]Hua Shen, Xun Liang:
A Time Series Forecasting Model Based on Deep Learning Integrated Algorithm with Stacked Autoencoders and SVR for FX Prediction. ICANN (2) 2016: 326-335 - [c26]Yuefeng Ma, Xun Liang:
Sparse Subspace Clustering via Closure Subgraph Based on Directed Graph. PCM (1) 2016: 75-84 - 2015
- [j18]Wenjie Huang, Qing Zhang, Wei Xu, Hongjiao Fu, Mingming Wang, Xun Liang:
A Novel Trigger Model for Sales Prediction with Data Mining Techniques. Data Sci. J. 14: 15 (2015) - [c25]Chao Ma, Xun Liang:
Mining gold in senior executives' pockets: An online automatically trading strategy. ICMLC 2015: 151-156 - [c24]Haiyan Zhang, Chenxi Zhou, Xun Liang, Xi Zhao, Yaping Li:
A Novel Edge Weighting Method to Enhance Network Community Detection. SMC 2015: 167-172 - [c23]Hua Shen, Xun Liang, Mingming Wang:
Emergency Decision Support Architectures for Bus Hijacking Based on Massive Image Anomaly Detection in Social Networks. SMC 2015: 864-869 - [c22]Aakas Zhiyuli, Xun Liang, Yige Wang:
Discerning the Trend: Concealing Deceptive Reviews. SMC 2015: 1833-1838 - [c21]Chao Ma, Xun Liang, Yuefeng Ma:
A Succinct Distributive Big Data Clustering Algorithm Based on Local-Remote Coordination. SMC 2015: 1839-1844 - 2014
- [c20]Ming Gao, Wei Xu, Hongjiao Fu, Mingming Wang, Xun Liang:
A Novel Forecasting Method for Large-Scale Sales Prediction Using Extreme Learning Machine. CSO 2014: 602-606 - [c19]Xiaoyang Yao, Xiaolei Sun, Yuying Yang, Dengsheng Wu, Xun Liang:
Features Extraction and Reconstruction of Country Risk based on Empirical EMD. ITQM 2014: 265-272 - [c18]Haiyan Zhang, Li Yu, Xun Liang:
A Collaborative Method of Aggregating Group Opinion Based on Incomplete Preferences. PACIS 2014: 48 - 2013
- [j17]Xun Liang, Rong-Chang Chen, Yang Bo He, Ying Chen:
Associating stock prices with web financial information time series based on support vector regression. Neurocomputing 115: 142-149 (2013) - [j16]Tianyou Zheng, Xun Liang, Run Cao:
The coordinate descent method with stochastic optimization for linear support vector machines. Neural Comput. Appl. 22(7-8): 1261-1266 (2013) - [j15]Xun Liang, Yuefeng Ma, Yang Bo He, Li Yu, Rong-Chang Chen, Tao Liu, Xiaoping Yang, Tung-Shou Chen:
Fast pruning superfluous support vectors in SVMs. Pattern Recognit. Lett. 34(10): 1203-1209 (2013) - [c17]Li Yu, Haiyan Zhang, Xun Liang:
Collaborative Aggregation of Individual Rating for Group Evaluation. PACIS 2013: 63 - 2012
- [c16]Run Cao, Xun Liang, Zhihao Ni:
Stock Price Forecasting with Support Vector Machines Based on Web Financial Information Sentiment Analysis. ADMA 2012: 527-538 - [c15]Li Yu, Qiulin Li, Xun Liang:
Research on Viral Marketing Propagating Oriented to Marketing Context. ICIS 2012 - 2011
- [j14]Xun Liang, Zhihao Ni:
Hyperellipsoidal Statistical Classifications in a Reproducing Kernel Hilbert Space. IEEE Trans. Neural Networks 22(6): 968-975 (2011) - [c14]Xun Liang:
CRM business cloud computing. ICCC 2011: 103-106 - [c13]Xun Liang:
Solving Support Vector Machines beyond Dual Programming. ICONIP (2) 2011: 510-518 - 2010
- [j13]Xun Liang, Rong-Chang Chen:
A unified mathematical form for removing neurons based on orthogonal projection and crosswise propagation. Neural Comput. Appl. 19(3): 445-457 (2010) - [j12]Xun Liang:
Feature space versus empirical kernel map and row kernel space in SVMs. Neural Comput. Appl. 19(3): 487-498 (2010) - [j11]Xun Liang:
An effective method of pruning support vector machine classifiers. IEEE Trans. Neural Networks 21(1): 26-38 (2010) - [c12]Ying Chen, Chao Wang, Xun Liang:
How external factors influence stock market: A model based SVM. SOLI 2010: 325-329
2000 – 2009
- 2009
- [j10]Xun Liang, Haisheng Zhang, Jianguo Xiao, Ying Chen:
Improving option price forecasts with neural networks and support vector regressions. Neurocomputing 72(13-15): 3055-3065 (2009) - [j9]Xun Liang, Chao Wang:
Separating hypersurfaces of SVMs in input spaces. Pattern Recognit. Lett. 30(5): 469-476 (2009) - [c11]Xun Liang, Haisheng Zhang, Xiang Li:
A Simple Method of Forecasting Option Prices Based on Neural Networks. IEA/AIE 2009: 586-593 - 2008
- [j8]Xun Liang, Yang Bo He, Rong-Chang Chen, Jian Yang:
Pricing local search engines for company websites. Electron. Commer. Res. Appl. 7(4): 423-431 (2008) - [j7]Xun Liang, Rong-Chang Chen, Jian Yang:
An architecture-adaptive neural network online control system. Neural Comput. Appl. 17(4): 413-423 (2008) - [j6]Xun Liang, Rong-Chang Chen, Xinyu Guo:
Pruning Support Vector Machines Without Altering Performances. IEEE Trans. Neural Networks 19(10): 1792-1803 (2008) - 2007
- [j5]Xun Liang:
Removal of hidden neurons in multilayer perceptrons by orthogonal projection and weight crosswise propagation. Neural Comput. Appl. 16(1): 57-68 (2007) - [c10]Xinyu Guo, Xun Liang, Xiang Li:
A Stock Pattern Recognition Algorithm Based on Neural Networks. ICNC (2) 2007: 518-522 - [c9]Kui Hu, Zhi Tang, Xun Liang:
The valuation of china venture capital guiding fund policy based on options model. SMC 2007: 2788-2793 - 2006
- [j4]Xun Liang:
Mining associations between web stock news volumes and stock prices. Int. J. Syst. Sci. 37(13): 919-930 (2006) - [c8]Xun Liang, Haisheng Zhang, Jian Yang:
Pricing Options in Hong Kong Market Based on Neural Networks. ICONIP (3) 2006: 410-419 - [c7]Xun Liang:
Neural Network Method to Predict Stock Price Movement Based on Stock Information Entropy. ISNN (2) 2006: 442-451 - 2005
- [c6]Yang Bo He, Zhi Geng, Xun Liang:
An Approach to Mining Local Causal Relationships from Databases. ADMA 2005: 51-58 - [c5]Xun Liang:
Mathematical Analysis of Classifying Convex Clusters Based on Support Functionals. ADMA 2005: 761-768 - [c4]Yang Bo He, Zhi Geng, Xun Liang:
Learning Causal Structures Based on Markov Equivalence Class. ALT 2005: 92-106 - [c3]Xun Liang:
Complexity of Error Hypersurfaces in Multilayer Perceptrons with General Multi-input and Multi-output Architecture. ISNN (1) 2005: 87-94 - [c2]Xun Liang:
Impacts of Internet Stock News on Stock Markets Based on Neural Networks. ISNN (2) 2005: 897-903 - [c1]Xun Liang, Yang Bo He:
Optimal Pricing for Web Search Engines. WINE 2005: 670-679 - 2004
- [j3]Xun Liang:
Complexity Of Error Hypersurfaces In Multilayer Perceptrons. Int. J. Neural Syst. 14(3): 189-200 (2004)
1990 – 1999
- 1995
- [j2]Xun Liang, Shaowei Xia:
Methods of training and constructing multilayer perceptrons with arbitrary pattern sets. Int. J. Neural Syst. 6(3): 223-247 (1995) - [j1]Xun Liang, Shaowei Xia, Jihong Du:
How to solve the N-bit encoder problem with one hidden unit and polynomially increasing weights and thresholds. Neurocomputing 7(1): 85-87 (1995)
Coauthor Index
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