详细资料
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梁循

电话:010-82500549

电子邮箱:xliang@ruc.edu.cn

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教育经历
工作经历
研究方向
大数据、多模态、AIGC、图神经网络、智能金融、知识图谱
讲授课程
《金融信息管理》(本科3年级)
《大数据物联网复杂信息系统》(经济信息管理系, 硕士1年级)
《商务建模与商务智能》(经济信息管理系, 硕士1年级)
《高级网络金融》(经济信息管理系, 硕士1年级; 软件工程专业, 硕士1年级)
《信息科学技术前沿》(计算机系, 博士1年级) (部分)
《理论文献研修》(计算机系, 博士1年级) (部分)
《金融业务与金融信息化》(硕士1年级)
《互联网金融信息系统》(硕士1年级)
《网络金融》(本科3年级; 硕士1年级)
《金融学》(本科2年级)
《金融数据挖掘》(本科3年级)
《大数据电子商务与现代商业金融》
《数学与信息系统概论》(本科1年级) (部分)
《金融信息管理》(本科3年级)
《信息与社会》(全校选修课, 本科1年级) (部分)
《新生研讨课》(本科1年级) (部分)
科研项目
国家社会科学基金重大项目,项目负责人
国家自然科学基金重点项目,项目负责人
国家自然科学基金其它项目及京东、腾讯、日立、方正等企业项目,项目负责人
科研成果

社交平台日常对话加密方法系统存储介质及计算设备, 202110895028.6, 2021

书法视频识别方法系统存储介质及计算设备, 202110895033.7, 2021

一种基于空间上下文引导的表面缺陷区域分割方法和装置, 202111218023.6, 2022

一种基于数据挖掘技术的图路径快速识别系统和方法, 202110533145.8, 2021

一种基于碱基的生物亲缘识别方法与系统, 202110440432.4, 2021

面向不成熟自检系统的图片识字转化方法及系统, 202110488166.2, 2021

基于并行多分支特征融合的表面缺陷区域分割方法及装置, 202111223774.7, 2021

无监督域适应的表面缺陷区域分割方法装置及电子设备, 202111230003.0, 2022

一种基于图神经网络传播路径的控制方法和系统, 202110555720.4, 2021

一种基于胶囊参数优化的图像识别方法及系统, 202110489172.X, 2021

一种用于日常生活的对话机器人及其聊天方法, 202110203693.4, 2020

一种基于谐音字的答非所问对话生成方法与系统, 202110204002.2, 2021

基于形近字的文本语义曲解聊天机器人及其数据处理办法, 202110204001.8, 2021

一种人流密集场所锁定行为数据的方法和系统, 202011538995.9, 2020

一种联盟链加密数据定期共享方法及系统, 202011022707.4, 2020

一种基于无监督学习的手写体图像识别方法及系统, 202011038830.5, 2020

一种区块链数据存储和检索方法装置设备及存储介质, 202010411245.9, 2020

一种识别经过变形的敏感词的方法和系统, 202010472614.5, 2020

一种基于区块链的知识点识别方法与系统, 202010106710.8, 2020

一种基于实体描述和关系路径的知识图谱补全方法, 201911170773.3, 2019

一种区块链数据加密方法及系统, 201911004161.7, CN110826095B, 2021

一种基于贡献激励的区块链协作方法及系统, 201910874266.1, CN110689430B, 2022

一种基于同区块链平台的跨链协同工作方法及系统, 201910826103.6, CN110609868B, 2021

Integrating large language models and mobius group transformations for temporal knowledge graph embedding on the riemann sphere, AAAI Conference on Artificial Intelligence (AAAI), 2025

Enhancing healthcare recommendations privacy-protective and interpretable cross-domain framework, AAAI Conference on Artificial Intelligence (AAAI), 2025

A sample-driven selection framework: towards graph contrastive networks with reinforcement learning, ACM International Conference on Multimedia (ACM-MM), 2024

Dual-bootstrapped self-supervised learning for graph anomaly detection, Information Sciences, 2024

Friend or foe mining suspicious behavior via graph capsule infomax detector against fraudsters, ACM Web Conference (ACM-WWW), 2684-2693, 2024

The hallucination of chinese large language models via unconstrained generation, Annual Meeting of Association for Computational Linguistics (ACL), 2024

Controlled text generation for large language model with dynamic attribute graphs, Annual Meeting of Association for Computational Linguistics (ACL), 2024

Effective and efficient deeper and faster fusion network for multimodal summarization, International Joint Conference on Neural Networks, 2024

Deep spiritual mining in literature with natural language processing, Applied Soft Computing, 2024

Temporal knowledge graph embedding using householder transformations, IEEE International Conference on Acoustics, Speech and Signal Processing (IEEE-ICASSP), 2024

An evaluation model for graph neural networks based on graph series theory, IEEE International Conference on Acoustics, Speech and Signal Processing (IEEE-ICASSP), Seoul, Korea, 2024

Cross-domain fake news detection based on coarse-fine grained environments reflecting public expectation, IEEE International Conference on Big Data (IEEE-ICBD), 2023

Graph representation learning falls into domain shift: data augmentation for cross-domain graph meta-learning, AAAI Conference on Artificial Intelligence (AAAI), 2024

Biomedical knowledge graph embedding with householder projection, AAAI Conference on Artificial Intelligence (AAAI), 2024

Networks construction for alzheimer’s disease diagnosis, IEEE International Conference on Bioinformatics and Biomedicine (IEEE-BIBM), 889-892, 2023

Dual-aware domain mining and cross-aware supervision for weakly-supervised semantic segmentation, ACM Transactions on Knowledge Discovery from Data, 17(7), article 101, 2023

Ducape dual quaternion and capsule network based temporal knowledge graph embedding, ACM Transactions on Knowledge Discovery from Data, 17(7), article 104, 2023

Diffuse and smooth: beyond truncated receptive field for scalable and adaptive graph representation learning, ACM Transactions on Knowledge Discovery from Data, 17(4), article 111, 2023

Hybrid interaction temporal knowledge graph embedding based on householder transformationsn, ACM International Conference on Multimedia (ACM-MM), 2023

Where to find fascinating inter-graph supervision: imbalanced graph classification with kernel information bottleneck, ACM International Conference on Multimedia (ACM-MM), 2023

Open-world multimodal learning, ACM International Conference on Multimedia (ACM-MM), 2023

When true becomes false: few-shot link prediction beyond binary relations through mining false positive entities, ACM International Conference on Multimedia (ACM-MM), 4063-4071, 2022

Multi-view graph contrastive encoding for graph neural network pretraining, Cognitive Science Society Annual Conference (CogSci), 2023

Semi-supervised local structured feature learning with dynamic maximum entropy graph, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023

Adaptive submanifold-preserving sparse regression for feature selection and multiclass classification, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023

Cross-modal matching and adaptive graph attention network for rgb-d scene recognition, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023

Select the best: enhancing graph representation with adaptive negative sample selection, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023

Intent does matter, propagating high-order relations for exploring interest preferences, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023

Graph fine-grained contrastive representation learning, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022

Adaptive attention graph capsule network, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022

Graph fine-grained contrastive representation learning, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022

Modeling high-order relation to explore user intent with parallel collaboration views, International Conference on Database Systems for Advanced Applications (DASFAA), 2023

A biquaternion and capsule network-based embedding model for temporal knowledge graph completion, International Conference on Database Systems for Advanced Applications (DASFAA), 2023

A multi-scale interaction motion network for action recognition based on capsule network, SIAM International Conference on Data Mining (SDM), 2023

Exploiting high-order interaction relations to explore user intent, AAAI Conference on Artificial Intelligence (AAAI), 2023

Enhancing dynamic GCN for node attribute forecasting with meta spatial-temporal learning, AAAI Conference on Artificial Intelligence (AAAI), 2023

Reinforced sample selection for graph neural networks transfer learning, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022

Semantic encoding learning and saliency selection for weakly supervised semantic segmentation, IEEE Transactions on Cognitive and Developmental Systems, 11(3):119-218, 2022

Neural insight learning for knowledge graph reasoning, International Conference on Computational Linguistics (COLING), 4517-4527, 2022

Few-shot knowledge graph completion via multi-modal contexts, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PPKDD), 2022

Saliency map and visual word encoder for image-level semantic segmentation, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PPKDD), 2022

Coembedding by reinforcing graph feature and topology information, IEEE International Conference on Multimedia and Expo (ICME), 2022

Multi-scale transformer with explicit boundary constraint for semantic segmentation, IEEE International Conference on Multimedia and Expo (ICME), 2022

Context and boundary guided multi-scale feature fusion network for semantic segmentation, IEEE International Conference on Multimedia and Expo (ICME), 2022

Graph capsule network with a dual adaptive mechanism, International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022

Cross-pixel dependency with boundary-feature transformation for weakly supervised semantic segmentation, ACM SIGMM International Conference on Multimedia Retrieval (ICMR), 2022

基于预训练语言模型的汉语字形谜解谜模型, 中文信息学报, 2025

基于西夏文字构件知识图谱的实体相似度研究, 中文信息学报, 37, 2023

基于剪枝优化的深层胶囊网络, 计算机学报, 45(7):1557-1570, 2022

基于偏旁部首知识表示学习的汉字字形相似度计算方法, 中文信息学报, 35(12):47-59, 2021

镜像图灵测试古诗的机器识别, 计算机学报, 44(7):1398-1413, 2021

Capsule graph neural network for multi-label image recognition, Proceedings of AAAI Conference on Artificial Intelligence (AAAI), Vancouver, 2022

Research on the oligopoly impact derived from the development and innovation of internet technology, Proceedings of International Conference on Management Science and Industrial Engineering, Thailand, 2021
Impact of the epidemic on the world economy, Proceedings of International Conference on Mathematics, Modeling, Simulation, Optimization and Computation, Chengdu, 2021
Impact of control technology on fight against COVID-19, Proceedings of International Conference on Mathematics, Modeling, Simulation, Optimization and Computation, Chengdu, 2021
RGB-D scene recognition based on object-scene relation and semantics-preserving attention, Proceedings of ACM International Conference on Multimedia Retrieval (ICMR), Taipei, 1-8, 2021
Graph ensemble networks for semi-supervised embedding learning, Proceedings of 14th International Conference on Knowledge Science, Engineering and Management (KSEM), Tokyo, 408-420, 2021
基于异构特征聚合的局部视图扭曲型纸币识别, 计算机学报, 45(1):98-114, 2022
图神经网络前沿进展与应用, 计算机学报, 45(1):35-68, 2022
Public opinion analysis and guidance under epidemic situation, Proceedings of International Symposium on Artificial Intelligence, Chengdu, 2021
Analysis of the vaccine effect on infectious diseases by system dynamics model, Proceedings of Fifth International Conference on Biological Information and Biomedical Engineering, Hangzhou, 2021
ELM网络结构自适应正交搜索算法, 计算机学报, 44(9):1888-1906, 2021
New application of blockchain: digital currency model design in the context of Winter Olympics, Proceedings of International Conference on Computer Science, Communication and Network Security, Sanya, 2020
Application of computer simulation in the study of infectious disease transmission mechanism, Proceedings of International Conference on Computer Science, Communication and Network Security, Sanya, 2020
RGB-d scene recognition based on object-scene relation, Proceedings of AAAI Conference on Artificial Intelligence (AAAI), Vancouver, 2021
Graph ensemble networks for semi-supervised embedding learning based on globally representative point selection, IEEE Transactions on Neural Networks and Learning Systems, 32(7):78-92, 2021
Scalable triangle discovery algorithm for large scale-free network with limited internal memory, IEEE Transactions on Big Data (TBD), 6(4):757-769, 2020
On structural features, user social behavior, and kinship discrimination in communication social networks, IEEE Transactions on Computational Social Systems (TCSS), 7(2):425-436, 2020
Convex edges in complex networks, IEEE Transactions on Computational Social Systems (TCSS), 7(1):58-67, 2020
AT-LSTM - an attention-based LSTM model for financial time series prediction, Proceedings of IOP Conference Series Materials Science and Engineering, 569:052037, 2019
Incremental few-shot relational learning with adaptive orthogonal forward-backward search, IEEE Transactions on Neural Networks and Learning Systems, 2021
Graph ensemble networks for knowledge graph completion, IEEE Transactions on Knowledge and Data Engineering, 2021
Cross-modal matching and adaptive graph attention network for rgb-d scene recognition, Information Sciences, 2020
Chinese character image clustering and classification based on object embedding model, AAAI, 2020
Rgb-d scene recognition based on object-scene relation, AAAI, 2020
Fast-solving quasi-optimal LS-S3VM based on an extended candidate set, IEEE Transactions on Neural Networks and Learning Systems, 29(4):1120-1131, 2018
Structure based user identification across social networks, IEEE Transactions on Knowledge and Data Engineering, 30(6):1178-1191,
Entropy-based partition for scheme edge mapping in complex networks, Knowledge-Based Systems, 2020
Human behavior link partition algorithm with smart mobile social networks, IEEE Transactions on Knowledge and Data Engineering, 2020
A quantitative analysis with convolutional neural learning and information propagation prediction, Expert Systems with Applications, 2020
An empirical study of two-stage parameter estimation model of sparse portfolio with manifold learning of sliding window of stock price time series, Decision Support Systems, 2020
Hyperellipsoidal statistical classifications in a reproducing kernel Hilbert space, IEEE Transactions on Neural Networks, 22(6):968-975, 2011
Modeling large-scale dynamic social networks via node embeddings, IEEE Transactions on Knowledge and Data Engineering, 31(10):1994-2007, 2019
AT-LSTM model for financial time series prediction, IEEE Transactions on Computational Social Systems, 2019
Scalable triangle discovery algorithm for large scale-free network with limited internal memory, IEEE Transactions on Big Data, 2019
User social behavior analysis and kinship discrimination in communication social network communications, ACM Transactions on Information Systems, 2018
Identification of organizational and individual users based on social content measurements, IEEE Transactions on Computational Social Systems, 2018
Cross-platform identification of anonymous identical users in multiple social media networks, IEEE Transactions on Knowledge and Data Engineering, 28(2):411-424, 2016
An effective method of pruning support vector machine classifiers, IEEE Transactions on Neural Networks, 21(1):26-38, 2010

Pruning support vector machines without altering performances, IEEE Transactions on Neural Networks, 19(10):1792-1803, 2008

HSEM - highly scalable node embedding for link prediction in very large-scale social networks, World Wide Web Journal, 2018

LSTM网络结构自适应正交搜索算法, 计算机学报, 2021
基于节点特征局部注意力机制的扭曲型图像识别, 自动化学报, 2021
基于内容的社交网络身份识别研究, 计算机学报, 2019
基于深度学习的图卷积神经网络研究进展, 计算机学报, 2019
极限学习机前沿进展与趋势, 计算机学报, 2019
社交物联网研究, 计算机学报, 41(7):1448-1474, 2018
跨平台社会网络用户行为和信息传播形式化表示方法, 计算机学报, 2018
在线社会网络谣言检测综述, 计算机学报, 41(7):1648-1677, 2018
大规模复杂信息网络表示学习: 概念、方法与挑战, 计算机学报, 41(10):2394-2420, 2018
长文本小说外号识别研究, 中文信息学报, 2018
小说中主角复杂爱情模式的识别与分析, 中文信息学报, 2018
基于Petri网的微博网络信息传播模型, 中国管理科学, 26(12), 2018
移动社交网络幂律分布特征节点关系判别研究, 软件学报, 32(6):114-123, 2018
时序紧密耦合的社会网络企业双舆情相关分析, 情报学报, 37(5):503-511, 2018
面向社会网络融合的关联用户挖掘方法综述, 软件学报, 28(6):1565-1583, 2017
基于阻尼采样的大规模动态社会网络结构特征表示学习, 计算机学报, 40(4):805-823, 2017
社会网络角色识别方法综述, 计算机学报, 40(3):649-673, 2017
社会网络中突发型事件的信息传播时变模型, 中国管理科学, 25(12):147-157, 2017
一种基于全局代表点的快速最小二乘支持向量机稀疏化算法, 自动化学报, 43(1):132-141, 2017
政府指导下时序耦合的企业相关双舆情分析, 中国管理科学, 24, 2017
一种大规模网络中基于节点结构特征映射的链接预测方法, 计算机学报, 39(10):1947-1964, 2016
社会网络背景下的企业舆情研究述评与展望, 管理学报, 14(6):1-11, 2017
基于在线评级和评论的评价者效用机制研究, 中国管理科学, 24(5):149-157, 2016
基于最优文档嵌入的红楼梦作者辨析, 中文信息学报, 2020
基于统计的新浪微博动态传播规律研究, 中文信息学报, 30(5):36-46, 2016
基于属性主题分割的评论短文本词向量构建优化算法, 中文信息学报, 30(5):101-110, 120, 2016
基于约束动态更新的半监督层次聚类算法, 自动化学报, 41(7):1253-1263, 2015
腾讯微博的内容生成模式分析, 中文信息学报, 29(3):90-100, 2015
基于TrTS取样的股票收益率RV测度的改进, 中国管理科学, 23(7):26-34, 2015
Learning distributed representations for large-scale dynamic social networks, IEEE Conference on Computer Communications (INFOCOM), Atlanta, 2017
Learning nodes vectors in large-scale networks for link prediction, Association Advance Artificial Intelligence (AAAI), Phoenix, 2016
Joint learning of evolving links for dynamic network embedding, 32nd AAAI Conference on Artificial Intelligence (AAAI), New Orleans, 2018
Dynamic transmission modes of online public opinion subevents clusters of an emergent event, International Conference on Management eCommerce and eGovernment, 77-82, 2017
The magnitude scale evaluation of cross-platform internet public opinion, International Conference on Management eCommerce and eGovernment, 83-88, 2017
A time series forecasting model based on deep learning integrated algorithm with stacked autoencoders and SVR for FX prediction, International Conference on Artificial Neural Networks, Barcelona, 2016
Behavior of retweeting in microblogging service: a study of information propagation from user attributes, International Conference on Service Systems and Service Management, 976-981, 2016
Protein complexes prediction via positive and unlabeled learning of the PPI networks, International Conference on Service Systems and Service Management, 75-80, 2016
Financing amount and influence factors analysis in IT industry, International Conference on Service Systems and Service Management, 436-440, 2016

Sparse subspace clustering via closure subgraph based on directed graph, Pacific Rim Conference on Multimedia, 75-84, 2016

Discerning the trend - concealing deceptive REVI, IEEE International Conference on Systems, Man and Cybernetics, 1833-1838, 2015

An emergency management system for bus hijacking based on massive image anomaly detection in social networks, IEEE International Conference on Systems, Man and Cybernetics, 864-869, 2015
A succinct distributive big data clustering algorithm based on local-remote coordination, IEEE International Conference on Systems, Man and Cybernetics, 1839-1844, 2015
A novel edge weighting method to enhance network community detection, IEEE International Conference on Systems, Man and Cybernetics, 167-172, 2015
Mining gold in senior executives pockets - an online automatically trading strategy, International Conference on Machine Learning and Cybernetics, 151-156, 2015
An empirical study of LMSV model in china stock market based on realized volatility, International Conference on Service Systems and Service Management, 2015
Resolving inconsistent ratings and reviews on commercial webs based on support vector machines, International Conference on Service Systems and Service Management, 2015
Online mining in unstructured financial information - an empirical study in bulletin news, International Conference on Service Systems and Service Management, 2015
A hybrid model for stock price based on wavelet transform and support vector machines, International Conference on Service Systems and Service Management, 2015
A collaborative method of aggregating group opinion based on incomplete preferences, Pacific Asia Conference on Information Systems (PACIS), 2014
Fast pruning superfluous support vectors in SVMs, Pattern Recognition Letters, 34(10):1203-1209, 2013
Collaborative aggregation of individual rating for group evaluation, Pacific Asia Conference on Information Systems, 2013
The coordinate descent method with stochastic optimization for linear support vector machine, Neural Computing and Applications, 1261-1266, 2013
Associating stock prices with web financial information time series based on support vector regression, Neurocomputing, 115:142-149, 2013
Stock price forecasting with support vector machines based on web financial information sentiment analysis, Advanced Data Mining and Applications, 7713:527-538, 2012

Research on viral marketing propagating oriented to marketing context, International Conference on Information Systems, 2012

CRM business cloud computing, International Conference on Innovative Computing and Cloud Computing, 103-106, 2011

Solving support vector machines beyond dual programming, Neural Information Processing, 7063:510-518, 2011
Stock market forecasting based on wavelet and least squares support vector machine, International Conference on Enterprise Information Systems, 46-53, 2011
Feature space versus empirical kernel map and row kernel space in SVMs, Neural Computing and Applications, 19(3):487-498, 2010
A unified mathematical form for removing neurons based on orthogonal projection and crosswise propagation, Neural Computing and Applications, 19(3):445-457, 2010
Separating hypersurfaces of SVMs in input spaces, Pattern Recognition Letters, 30(5):469-476, 2009

Improving option price forecasts with neural networks and support vector regressions, Neurocomputing, 72:3055-3065, 2009

人工智能模型与算法, 清华大学出版社, 2021

基于深度学习的社会信息挖掘应用实例分析, 科学出版社, 2020
基于好友关系的社会网络关联用户知识图谱构建, 科学出版社, 2019
社会媒体网络下基于机器学习的公众舆情监督, 科学出版社, 2019
面向电子商务大数据的社交网络舆情知识图谱, 清华大学出版社, 2019
区块链信息管理系统, 清华大学出版社, 2019
大数据物联网复杂信息系统, 清华大学出版社, 2017
社会网络大数据下企业舆情建模和管理, 清华大学出版社, 2016
社会化商务理论与实践, 清华大学出版社, 2014
面向社会化媒体大数据的社会计算, 清华大学出版社, 2014
金融数据挖掘 - 基于大数据视角的展望, 知识产权出版社, 2013
支持向量机算法及其金融应用, 知识产权出版社, 2012
互联网金融信息智能挖掘基础, 北京大学出版社, 2009
网络金融系统设计与实现案例集, 北京大学出版社, 2009
网络金融信息挖掘导论, 北京大学出版社, 2008
电子商务理论与实践, 北京大学出版社, 2007
互联网金融信息系统的设计与实现, 北京大学出版社, 2006
数据挖掘算法与应用, 北京大学出版社, 2006
网络金融, 北京大学出版社, 2005
一种互联网新颖词监测方法, 专利, 200810117821
一种增量抓取微博信息的方法, 专利, 201459578019.3
一种多模式微博信息动态排序方法, 专利, 201210199559.2
一种基于文本内容的垃圾微博过滤方法, 专利, 201210199572.8
基于兴趣分析的微博博主社区分类方法, 专利, 201210250181.4
一种面向微博的全新突发事件发现方法, 专利, 201810250175.9
基于用户关系的博主兴趣社区发现方法, 专利, 201710128135.1
基于关键词提取和基尼系数的微博用户分类方法, 专利, 201310169655.7
一种基于密度的面向行人行为模式布集中式大数据聚类方法, 专利, 201563785128.2
一种跨平台微博社区账户匹配方法, 专利, 201810000302.9
一种基于知识图谱的融合知识表示的Word2vec训练方法, 专利, 201910552128.1
一种基于侧链链接的知识图谱方法, 专利, 201910318234.5
一种基于贡献激励的区块链协作系统, 专利, 201910552128.1
一种区块链结构分支技术, 专利, 201910234522.1
一种在特定区域内推荐拍摄地点的方法, 专利, 201610874127.5
Method for monitoring abnormal state of internet information, 美国专利, US 8185537
社会兼职
中国计算机学会中文信息处理委员会专委、中国信息经济学会常务理事、经济数学与管理数学学会副理事长、中国运筹学会决策分会常务理事、中国优选法与经济数学学会常务理事、区块链产业专业委员会委员、中国电子信息行业联合会数字经济委员会学术委员、优选法统筹费与经济数学分会学术委员会委员、陕西省金融科技创新基地顾问委员会委员、《中国管理科学》期刊编委、数字化集成技术教育部工程中心专家委员会委员、中国中文信息学会信息检索委员会专委
荣誉获奖
北京市科学技术奖