(1) Tianshu Lyu ，Yuan Zhang，Yan Zhang. Enhancing the Network Embedding Quality with Structural Similarity，The 26th ACM Conference on Information and Knowledge Management (CIKM 2017)，Singapore，2017.11.6-2017.11.10
(2) Zhiqiang Liu ，Mengzhang Li，Tianyu Bai，Rui Yan，Yan Zhang. A Dual Attentive Neural Network Framework with Community Metadata for Answer Selection，The 6th Conference on Natural Languange Processing and Chinese Computing (NLPCC 2017)，Dalian，2017.11.8-2017.11.12
(3) Yuan Zhang ，Tianshu Lyu，Yan Zhang. Hierarchical Community-Level Information Diffusion Modeling in Social Networks，The 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017)，Tokyo，2017.8.7-2017.8.11
(4) Yu Zhang ，Yan Zhang. Top-K Influential Nodes in Social Networks: A Game Perspective，The 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017)，Tokyo，2017.8.7-2017.8.11
(5) Yuntao Li ，Chengzhen Fu，Yan Zhang. When And Who At Risk? Call Back At These Critical Points，The 10th International Conference on Educational Data Mining (EDM 2017)，Wuhan，2017.6.25-2017.6.28
(6) Yu Zhang ，Wei Wei，Binxuan Huang，Kathleen M. Carley，Yan Zhang. RATE: Overcoming Noise and Sparsity of Textual Features in Real-Time Location Estimation，The 26th ACM Conference on Information and Knowledge Management (CIKM 2017)，Singapore，2017.11.6-2017.11.10
(7) 吴佳林 ，唐晋韬，李莎莎，王挺，基于神经网络纠正器的领域分词方法，第十六届全国计算语言学学术会议（CCL 2017），Nanjing，2017.10.13-2017.10.15
(8) Yi Li ，Yitao Duan，Wei Xu，PEM: A Practical Differentially Private System for Large-Scale Cross-Institutional Data Mining，ECML/PKDD 2017，SKOPJE，2017.9.18-2017.9.22
(9) Shuhao Wang ，Cancheng Liu，Xiang Gao，Hongtao Qu，Wei Xu，Session-Based Fraud Detection in Online E-Commerce Transactions Using Recurrent Neural Networks，ECML/PKDD 2017，SKOPJE，2017.9.18-2017.9.22
(10) Zhuoxuan Jiang ，Shanshan Feng，Gao Cong，Chunyan Miao，Xiaoming Li，A Novel Cascade Model for Learning Latent Similarity from Heterogeneous Sequential Data of MOOC，The 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP 2017)，Copenhagen，2017.9.7-2017.9.11
(11) Yuhan Su ，Zhongming Jin，Ying Chen，Xinghai Sun，Yaming Yang，Fangzheng Qiao，Fen Xia，Wei Xu，Improving click-through rate prediction accuracy in online advertising by transfer learning，The 2017 International Conference on Web Intelligence (WI'17)，Leipzig，2017.8.23-2017.8.26
(12) Yong Cheng ，Qian Yang，Yang Liu，Maosong Sun，Wei Xu，Joint Training for Pivot-based Neural Machine Translation，The International Joint Conference on Artificial Intelligence (IJCAI)2017，Melbourne，2017.8.19-2017.8.25
(13) Yuxi Dong ，Yuchao Pan，Jun Zhang，Wei Xu，Learning to Read Chest X-Ray Images from 16000+ Examples Using CNN，The 2nd International Workshop on Big Data Analytics for Smart and Connected Health (BIGDATA4HEALTH) 2017，Philadelphia，2017.7.17-2017.7.17
(14) Guosai Wang ，Wei Xu，What Can We Learn from Four Years of Data Center Hardware Failures?，The 47th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) 2017，Denver，2017.6.26-2017.6.29
(15) Yuxi Dong ，Yuchao Pan，Xihai Zhao，Rui Li，Chun Yuan，Wei Xu，Identifying Carotid Plaque Composition in MRI with Convolutional Neural Networks，The 3rd IEEE International Conference on Smart Computing (SMARTCOMP) 2017，Hongkong，2017.5.29-2017.5.31
(16) Weizheng Chen ，Jinpeng Wang，Zhuoxuan Jiang，Yan Zhang ，Xiaoming Li，Hierarchical Mixed Neural Network for Joint Representation Learning of Social-Attribute Network，The Pacific-Asia Conference on Knowledge Discovery and Data Mining 2017 (PAKDD 2017)，Jeju，2017.5.23-2017.5.26
(17) Weizheng Chen ，Xianling Mao，Xiangyu Li，Yan Zhang ，Xiaoming Li，PNE: Label Embedding Enhanced Network Embedding，The Pacific-Asia Conference on Knowledge Discovery and Data Mining 2017 (PAKDD 2017)，Jeju，2017.5.23-2017.5.26
(18) Weizheng Chen ，Chi Liu，Jun Yin，Hongfei Yan，Yan Zhang ，Mining E-Commercial Data: a Text-Rich Heterogeneous Network Embedding Approach，The 2017 International Joint Conference on Neural Networks (IJCNN 2017)，Anchorage，2017.5.14-2017.5.19
(19) Chengsen Ru ，Jintao Tang，Shasha Li，Ting Wang，Syntactic Representation Learning for Open Information Extraction on Web，The 2017 World Wide Web conference（WWW 2017），Perth，2017.4.3-2017.4.7
(20) Xiao Li ，Ting Wang，Huaimin Wang，Exploring N-gram Features in Clickstream Data for MOOC Learning Achievement Prediction，The First International Workshop on Data Management and Mining on MOOCs (DMMOOC 2017)，Suzhou，2017.3.27-2017.3.27
(21) Zhuoxuan Jiang ，Yan Zhang，Xiaoming Li，MOOCon: A Framework for Semi-supervised Concept Extraction from MOOC Content，The First International Workshop on Data Management and Mining on MOOCs (DMMOOC 2017)，Suzhou，2017.3.27-2017.3.27
(22) Zhuoxuan Jiang ，Chunyan Miao，Xiaoming Li，Application of keyword extraction on MOOC resources，International Journal of Crowd Science，2017.1.31，1(1)：48~70
(23) Shun Zheng ，Jialei Wang，Fen Xia，Wei Xu ，Tong Zhang，A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization，Journal of Machine Learning Research，2017.10.30，18(115)：1~52
(24) 王雪宇 ，邹刚，李骁，基于MOOC数据的学习者辍课预测研究，现代教育技术，2017.6.30，27(6)：94~100
(25) 王玉龙 ，李骁，雍成纲，MOOC在线学习者学习心理调查研究，高等教育研究学报，2017.3.30，40(3)：31~38
(26) 庞焜元 ，唐晋韬，李莎莎，王挺，实体消歧中特征文本选取研究，计算机与数字工程，2017.8.30，45(8)：1543~1547

(1) Yuan Zhang ; Tianshu Lyu; Yan Zhang, COSINE: Community-Preserving Social Network Embedding from Information Diffusion Cascades, AAAI 2018, 2018.2.2-2018.2.7
(2) Zhiqiang Liu ; Yan Zhang, Structures or Texts? A Dynamic Gating Method for Expert Finding in CQA, DASFAA 2018, 2018.5.21-2018.5.24
(3) Zhiqiang Liu ; Yan Zhang, A Semantic Role Mining and Learning Performance Prediction Method in MOOCs, Data Management and Mining on MOOCs 2018, 2018.7.23-2018.7.23
(4) Yuntao Li ; Yan Zhang, MOOC Guider: An End-to-End Dialogue System for MOOC Users, Data Management and Mining on MOOCs 2018, 2018.7.23-2018.7.23
(5) 寇晓宇 ; 吕天舒; 张岩, 结合深度学习的网络邻居结构研究及应用, 第35届中国数据库学术会议, 大连, 2018.10.12-2018.10.14
(6) Zhao Zhang ; Weizheng Chen; Xiaoxuan Ren; Yan Zhang, Learning Product Embedding from Multi-relational User Behavior, PAKDD 2018, 2018.5.15-2018.5.18
(7) Xiaoxuan Ren ; Tianshu Lyu; Yan Zhang, PUB: Product Recommendation with Users’ Buying Intents on Microblogs, WISE 2018, Dubai, 2018.11.12-2018.11.15
(8) Xiao Li ; Ting Wang; Huaimin Wang; Jintao Tang, Understanding User Interests Acquisition in Personalized Online Course Recommendation, Data Management and Mining on MOOCs 2018, 2018.7.23-2018.7.23
(9) Yiran Li ; Da Wei; Xiaoqi Chen; Ziheng Song; Ruihan Wu; Yuxing Li; Xin Jin; Wei Xu, DumbNet: A Smart Data Center Network Fabric with Dumb Switches, EuroSys 2018, 2018.4.23-2018.4.26
(10) Jiao Sun ; Qixin Zhu; Zhifei Liu; Xin Liu; Jihae Lee1; Lei Shi; Zhigang Su; Ling Huang; Wei Xu, FraudVis: Understanding Unsupervised Fraud Detection Algorithms, The 11th IEEE Pacific Visualization Symposium (PacificVis 2018), 2018.4.10-2018.4.13
(11) Kunyuan Pang ; Jintao Tang; Ting Wang, Which Embedding Level is Better for Semantic Representation? An Empirical Research on Chinese Phrases, NLPCC 2018, Hohhot, 2018.8.26-2018.8.30
(12) Chengsen Ru ; Jintao Tang; Shasha Li; Songxian Xie; Ting Wang, Using semantic similarity to reduce wrong labels in distant supervision for relation extraction, Information Processing and Management, 2018.4.22, 54(4)：593~608
(13) 汝承森 ; 唐晋韬; 谢松县; 李莎莎; 王挺, 关系抽取中远监督错误标注消除, 国防科技大学学报, 2018.6.10, 40(3)：148~152
(14) 刘培磊 ; 唐晋韬 ; 王挺; 谢松县; 岳大鹏; 刘海池, 基于词向量语义聚类的微博热点挖掘方法, 计算机工程与科学, 2018.2.10, 40(2)：313~319
(15) 王宇 ; 罗淑芳; 范逸洲; 汪琼, 2017全球慕课发展回顾, 中国远程教育, 2018.9.10, 2018(9)：53~62
(16) 范逸洲 ; 冯菲; 刘玉; 汪琼, 评价量规设计对慕课同伴互评有效性的影响研究, 电化教育研究, 2018.11.10, 2018(11)：45~51

(1) Tianshu Lyu ; Fei Sun; Peng Jiang; Wenwu Ou; Yan Zhang, Compositional Network Embedding for Link Prediction, The 13th ACM Conference on Recommender Systems (RecSys 2019), Copenhagen, 2019.9.16-2019.9.20
(2) Chengzhen Fu ; Yuntao Li; Yan Zhang, ATNet: Answering Cloze-Style Questions via Intra-attention and Inter-attention, The 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2019), Macau, 2019.4.14-2019.4.17
(3) Yuan Zhang ; Dong Wang; Yan Zhang, Neural IR Meets Graph Embedding: A Ranking Model for Product Search, The Web Conference 2019 (WWW 2019), San Francisco, 2019.5.13-2019.5.17
(4) Chengzhen Fu ; Yan Zhang, EA Reader: Enhance Attentive Reader for Cloze-Style Question Answering via Multi-Space Context Fusion, The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019), Honolulu, 2019.1.27-2019.2.1
(5) Gang Xu ; Zhigang Song; Zhuo Sun; Calvin Ku; Zhe Yang; Cancheng Liu; Shuhao Wang; Jianpeng Ma; Wei Xu, CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation, ICCV 2019, Seoul, 2019.10.27-2019.11.2
(6) Shun Zheng; Wei Cao; Wei Xu; Jiang Bian, Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction, 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP 2019), Hong Kong, 2019.11.3-2019.11.7
(7) Yi Li ; Yitao Duan; Shuoyao Zhao; Yu Yu; Wei Xu, PrivPy: General and Scalable Privacy-Preserving Data Mining, The 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2019), Anchorage, 2019.8.4-2019.8.8
(8) Shun Zheng ; Xu Han; Yankai Lin; Peilin Yu; Lu Chen; Ling Huang; Zhiyuan Liu; Wei Xu, DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction, The 57th Conference of the Association for Computational Linguistics (ACL 2019), Florence, 2019.7.28-2019.8.2
(9) Zhenghao Liu ; Chenyan Xiong; Maosong Sun; Zhiyuan Liu, Explore Entity Embedding Effectiveness in Entity Retrieval, CCL 2019, Kunming, 2019.10.18-2019.10.20
(10) Kahaerjiang Abiderexiti ; Maosong Sun, Construction of an English-Uyghur WordNet Dataset, CCL 2019, Kunming, 2019.10.18-2019.10.20
(11) Zhipeng Guo ; Xiaoyuan Yi; Maosong Sun; Wenhao Li; Cheng Yang; Jiannan Liang; Huimin Chen; Yuhui Zhang; Ruoyu Li, Jiuge: A Human-Machine Collaborative Chinese Classical Poetry Generation System, The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), Florence, 2019.7.28-2019.8.2
(12) Dengwen Lin ; Jintao Tang; Kunyuan Pang; Shasha Li; Ting Wang, Selecting Paragraphs to Answer uestions for Multi-passage Machine Reading Comprehension, The 25th China Conference on Information Retrieval (CCIR 2019), Fuzhou, 2019.9.20-2019.9.22
(13) Feng Chen ; Songxian Xie; Xinyi Li; Shasha Li; Jintao Tang; Ting Wang, What Topics Do Images Say: A Neural Image Captioning Model with Topic Representation, 2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW 2019), Shanghai, 2019.7.8-2019.7.12
(14) Pancheng Wang ; Shasha Li; Haifang Zhou; Jintao Tang; Ting Wang, An Analytical Study on A Benchmark Corpus Constructed for Related Work Generation, The 8th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2019), Dunhuang, 2019.10.9-2019.10.14
(15) Jianling Li ; Shiwen Yu; Shasha Li; Jie Yu, Multi-classification of Theses to Disciplines Based on Metadata, The 8th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2019), Dunhuang, 2019.10.9-2019.10.14
(16) Pancheng Wang ; Shasha Li; Haifang Zhou; Jintao Tang; Ting Wang, Cited text spans identification with an improved balanced ensemble model, Scientometrics, 2019.3.10, 120(3)：1111~1145

(1) 李晓明. 与在线教学一起成长. 计算机教育，No.306(06):8-11, 2020
(2) Yuan Zhang, Fei Sun, Xiaoyong Yang, Chen Xu, Wenwu Ou, Yan Zhang. Graph-based Regularization on Embedding Layers for Recommendation. ACM Transactions on Information Systems, Vol.39(1):2, September 2020
(3) Tianshu Lyu, Lidong Bing, Zhao Zhang and Yan Zhang. FOX: Fast Overlapping Community Detection Algorithm in Big Weighted Networks. ACM Transactions on Social Computing, Vol.3(3):16, August 2020
(4) 郭嘉琰,李荣华,张岩,王国仁.基于图神经网络的动态网络异常检测算法.软件学报,2020,31(3):748-762
(5) Yuntao Li, Bei Chen, Qian Liu, Yan Gao, Jian-Guang Lou, Yan Zhang and Dongmei Zhang. "What Do You Mean by That?" - A Parser-Independent Interactive Approach for Enhancing Text-to-SQL. EMNLP2020, 16th – 20th November 2020, Online
(6) Xiaoyu Kou, Yankai Lin, Shaobo Liu, Peng Li, Jie Zhou and Yan Zhang. Disentangle-based Continual Graph Representation Learning. EMNLP2020, 16th – 20th November 2020, Online
(7) Xiaoyu Kou, Bingfeng Luo, Huang Hu, Daxin Jiang and Yan Zhang. NASE: Learning Knowledge Graph Embedding for Link Prediction via Neural Architecture Search. CIKM 2020, October 19–23, 2020. Virtual Event, Ireland
(8) Tianshu Lyu, Fei Sun and Yan Zhang. Node Conductance: A Scalable Node Centrality Measure on Big Networks. PAKDD 2020, Singapore. May 11–16, 2020
(9) Yuan Zhang, Xiaoran Xu, Hanning Zhou and Yan Zhang. Distilling Structured Knowledge into Embeddings for Explainable and Accurate Recommendation. WSDM 2020, Houston, Texas, USA. February 3-7, 2020 (Regular paper)
(10) Zhigang Song, Chunkai Yu, Shuangmei Zou, Wenmiao Wang, Yong Huang, Xiaohui Ding, Jinhong Liu, Liwei Shao, Jing Yuan, Xiangnan Gou, Wei Jin, Zhanbo Wang, Xin Chen, Huang Chen, Cancheng Liu, Gang Xu, Zhuo Sun, Calvin Ku, Yongqiang Zhang, Xianghui Dong, Shuhao Wang, Wei Xu, Ning Lv, and Huaiyin Shi. Automatic deep learning-based colorectal adenoma detection system and its similarities with pathologists. BMJ Open 2020; 10:e036423
(11) Pancheng Wang , Shasha Li , Haifang Zhou, Jintao Tang, and Ting Wang. ToC-RWG: Explore the Combination of Topic Model and Citation Information for Automatic Related Work Generation. IEEE Access, Volume 8: 13043-13055, 2020
(12) Zhigang Song, Shuangmei Zou, Weixun Zhou, Yong Huang, Liwei Shao, Jing Yuan, Xiangnan Gou, Wei Jin, Zhanbo Wang, Xin Chen, Xiaohui Ding, Jinhong Liu, Chunkai Yu, Calvin Ku, Cancheng Liu, Zhuo Sun, Gang Xu, Yuefeng Wang, Xiaoqing Zhang, Dandan Wang, Shuhao Wang, Wei Xu, Richard C. Davis & Huaiyin Shi. Clinically applicable histopathological diagnosis system for gastric cancer detection using deep learning. Nature Communications, volume 11, Article number: 4294, 2020
(13) Yiran Li, Kevin Gao, Xin Jin, Wei Xu. Concerto: Cooperative Network-Wide Telemetry with Controllable Error Rate. APSys ’20, August 24–25, 2020, Tsukuba, Japan
(14) Peilun Li, Guosai Wang, Xiaoqi CHen, Fan Long, Wei Xu. Gosig: A Scalable and High-Performance Byzantine Consensus for Consortium Blockchains. SoCC ’20, October 19–21, 2020, Virtual Event, USA
(15) Lu Chen and Wei Xu. Attacking Optical Character Recognition (OCR) Systems with Adversarial Watermarks. The AAAI-20 Workshop on Artificial Intelligence for Cyber Security (AICS) Feb 8, 2020, New York City, New York, USA
(16) 赵丹, 车南颖, 宋志刚, 刘灿城, 王朗, 石怀银, 董宇杰, 林海峰, 穆晶, 英兰, 杨庆婵, 高亚南, 陈玮姗, 王书浩, 徐葳, 金木兰. 基于深度迁移学习的肺癌病理诊断. 中华病理学杂志, 2020,49(11) : 1120-1125