姓名：毛先领
所在学科：计算机科学与技术
职称：准聘教授
联系电话：
E-mail：maoxl@bit.edu.cn
通信地址：北京理工大学中教1001房个人信息
男，准聘教授，博导。主要研究深度学习与科技大数据挖掘，具体研究Information Extraction、Question Answering and Dialogue和Learn to Hashing等方向。担任计算机学会中文信息技术专委会委员，中文信息学会青工委执行委员以及语言与知识专委会委员；已在SIGIR、AAAI、IJCAI、ACM MM、SIGMOD、WWW、TOIS、TKDE等国际期刊会议上发表50余篇论文；指导学生分别获NLPCC 2019和ICKG 2020最佳论文奖；部分成果获中国电子学会科技进步一等奖(2018)和浙江省科技进步三等奖(2018)，正在承担或参与国家重点研发计划课题、国家自然科学基金重点项目和面上项目等10余项。主持研发了Hammer Scholar学术平台（hammerscholar.net）。所指导学生已在字节跳动、微软、百度、华为、阿里、滴滴研究院、小米科技、中科院信工所、英国爱丁堡大学等IT公司或科研院所就业或者继续深造。

科研方向
主要研究深度学习与科技大数据挖掘，具体研究Information Extraction、 Question Answering and Dialogue和Learn to Hashing等方向。

个人信息
男，准聘教授，博导。主要研究深度学习与科技大数据挖掘，具体研究Information Extraction、Question Answering and Dialogue和Learn to Hashing等方向。担任计算机学会中文信息技术专委会委员，中文信息学会青工委执行委员以及语言与知识专委会委员；已在SIGIR、AAAI、IJCAI、ACM MM、SIGMOD、WWW、TOIS、TKDE等国际期刊会议上发表50余篇论文；指导学生分别获NLPCC 2019和ICKG 2020最佳论文奖；部分成果获中国电子学会科技进步一等奖(2018)和浙江省科技进步三等奖(2018)，正在承担或参与国家重点研发计划课题、国家自然科学基金重点项目和面上项目等10余项。主持研发了Hammer Scholar学术平台（hammerscholar.net）。所指导学生已在字节跳动、微软、百度、华为、阿里、滴滴研究院、小米科技、中科院信工所、英国爱丁堡大学等IT公司或科研院所就业或者继续深造。

个人信息
男，准聘教授，博导。主要研究深度学习与科技大数据挖掘，具体研究Information Extraction、Question Answering and Dialogue和Learn to Hashing等方向。担任计算机学会中文信息技术专委会委员，中文信息学会青工委执行委员以及语言与知识专委会委员；已在SIGIR、AAAI、IJCAI、ACM MM、SIGMOD、WWW、TOIS、TKDE等国际期刊会议上发表50余篇论文；指导学生分别获NLPCC 2019和ICKG 2020最佳论文奖；部分成果获中国电子学会科技进步一等奖(2018)和浙江省科技进步三等奖(2018)，正在承担或参与国家重点研发计划课题、国家自然科学基金重点项目和面上项目等10余项。主持研发了Hammer Scholar学术平台（hammerscholar.net）。所指导学生已在字节跳动、微软、百度、华为、阿里、滴滴研究院、小米科技、中科院信工所、英国爱丁堡大学等IT公司或科研院所就业或者继续深造。

代表性学术成果
1) Span Graph Transformer for Document-level Named Entity Recognition; Hongli Mao, Xian-Ling Mao; AAAI 2024 （CCF A）
2) Can Cross-Lingual Transferability of Multilingual Transformers Be Activated Without End-Task Data?Z Chi, HY Huang, XL Mao; ACL 2023 （CCF A）
3) AttenWalker: Unsupervised Long-Document Question Answering via Attention-based Graph Walking Y Nie, H Huang, W Wei, XL Mao; ACL 2023 （CCF A）
4) Data-Aware Proxy Hashing for Cross-modal Retrieval; RC Tu, XL Mao, W Ji, W Wei, H Huang; SIGIR 2023（CCF A）
5) Towards Efficient Coarse-grained Dialogue Response Selection; T Lan, XL Mao, W Wei, X Gao, H Huang; TOIS（CCF A）
6) Exploring Dense Retrieval for Dialogue Response Selection；Tian Lan, Deng Cai, Yan Wang, Yixuan Su, Heyan Huang, Xian-Ling Mao; TOIS （CCF A）
7) Cross-domain coreference modeling in dialogue state tracking with prompt learning; HD Xu, XL Mao, P Yang, F Sun, H Huang; Knowledge-Based Systems, 283, 111189 (SCI 一区)
8) Out-of-scope intent detection with intent-invariant data augmentation; F Sun, H Huang, P Yang, H Xu, X Mao; Knowledge-Based Systems 283, 111167 (SCI 一区)
9) Unsupervised Cross-modal Hashing via Semantic Text Mining; RC Tu, XL Mao, Q Lin, W Ji, W Qin, W Wei, H Huang; IEEE Transactions on Multimedia (SCI 一区)
10) Dependency-Aware Neural Topic Model; H Huang, YK Tang, X Shi, XL Mao; Information Processing & Management (SCI 一区)
11) Unsupervised Hashing with Semantic Concept Mining; RC Tu, XL Mao, KQ Lin, C Cai, W Qin, W Wei, H Wang, H Huang; SIGMOD 2023
12) Learning relation ties with a force-directed graph in distant supervised relation extraction; YM Shang, H Huang, X Sun, W Wei, XL Mao; ACM Transactions on Information Systems 41 (1), 1-23Yuming Shang, Heyan Huang, Xin Sun, Wei Wei, Xian-Ling Mao: A pattern-aware self-attention network for distant supervised relation extraction. Inf. Sci. 2022, 584: 269-279 (SCI 一区)
13) Heyan Huang, Yuming Shang, Xin Sun, Wei Wei, Xian-Ling Mao: Three birds, one stone: A novel translation based framework for joint entity and relation extraction. Knowl. Based Syst. 2022, 236: 107677 (SCI 一区)
14) Jia-Nan Guo, Xian-Ling Mao, Shu-Yang Lin, Wei Wei, Heyan Huang: Deep kernel supervised hashing for node classification in structural networks. Inf. Sci. 569: 1-12 (2021)（SCI 一区）
15) Zewen Chi, Li Dong, Bo Zheng, Shaohan Huang, Xian-Ling Mao, Heyan Huang, Furu Wei: Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word Alignment. ACL/IJCNLP (1) 2021: 3418-3430 （CCF A）
16) Puhai Yang, Heyan Huang, Xian-Ling Mao: Comprehensive Study: How the Context Information of Different Granularity Affects Dialogue State Tracking? ACL/IJCNLP (1) 2021: 2481-2491 （CCF A）
17) Zewen Chi, Li Dong, Shuming Ma, Shaohan Huang, Saksham Singhal, Xian-Ling Mao, Heyan Huang, Xia Song, Furu Wei: mT6: Multilingual Pretrained Text-to-Text Transformer with Translation Pairs. EMNLP 2021: 1671-1683 （CCF B）
18) Rong-Cheng Tu, Xian-Ling Mao, Cihang Kong, Zihang Shao, Ze-Lin Li, Wei Wei, Heyan Huang: Weighted Gaussian Loss based Hamming Hashing. ACM Multimedia 2021: 3409-3417 （CCF A）
19) Rong-Cheng Tu, Xian-Ling Mao, Jia-Nan Guo, Wei Wei, Heyan Huang: Partial-Softmax Loss based Deep Hashing. WWW 2021: 2869-2878（CCF A）
20) Tian Lan, Xian-Ling Mao, Wei Wei, Xiaoyan Gao, Heyan Huang:PONE: A Novel Automatic Evaluation Metric for Open-domain Generative Dialogue Systems. ACM Trans. Inf. Syst. 39(1): 7:1-7:37 (2020) (CCF A)
21) Zewen Chi, Li Dong, Furu Wei, Wenhui Wang, Xian-Ling Mao, Heyan Huang: Cross-Lingual Natural Language Generation via Pre-Training. AAAI 2020: 7570-7577 (CCF A)
22) Yuming Shang, Heyan Huang, Xian-Ling Mao, Xin Sun, Wei Wei, Are Noisy Sentences Useless for Distant Supervised Relation Extraction? AAAI 2020.（CCF A）
23) Rongcheng Tu, Xian-Ling Mao, Bing Ma, Yong Hu, Tan Yan, Wei Wei and Heyan Huang; Deep Cross-Modal Hashing with Hashing Functions and Unified Hash Codes Jointly Learning, TKDE 2020. (CCF A)
24) Rongcheng Tu, Xian-Ling Mao, Wei Wei , MLS3RDUH: Deep Unsupervised Hashing via Manifold based Local Semantic Similarity Structure Reconstructing, IJCAI 2020. (CCF A)
25) Rongcheng Tu, Xian-Ling Mao, Bosii Feng, Shuying Yu, Object Detection based Deep Unsupervised Hashing, IJCAI 2019 (CCF-A)
26) Zewen Chi; Heyan Huang; Shenjian Zhao; Heng-Da Xu; Xian-Ling Mao; Fast and Accurate Bilingual Lexicon Induction via Matching Optimization, NLPCC 2019.（CCF C，最佳学生论文）
27) Xiaojian Jiang, Xian-Ling Mao, et al. "HSDS: An Abstractive Model for Automatic Survey Generation." International Conference on Database Systems for Advanced Applications. Springer, Cham (DASFAA 2019). （CCF B）
28) Zewen Chi; Li Dong; Furu Wei; Wenhui Wang; Xian-Ling Mao; Heyan Huang*; Cross-lingual Natural Language Generation via Pre-Training, AAAI 2019 (CCF A)
29) Dan Wang, Heyan Huang, Chi Lu, Bo-Si Feng, Liqiang Nie, Guihua Wen, Xian-Ling Mao; Supervised Deep Hashing for Hierarchical Labeled Data; AAA 2018 (CCF A)
30) Xian-Ling Mao,Bo-Si Feng, Yi-Jing Hao, Liqiang Nie, Heyan Huang, Guihua Wen ; S2JSD-LSH: A Locality-Sensitive Hashing Schema for Probability Distributions; AAAI 2017 （CCF A）
31) Yi-Kun Tang, Xian-Ling Mao, Heyan Huang; Labeled Phrase Latent Dirichlet Allocation and its Online Learning Algorithm; Data Mining and Knowledge Discovery, 2017 (SCI, 3.16);
32) Yi-Kun Tang, Xian-Ling Mao, Heyan Huang, Xuewen Shi, Guihua Wen, Conceptualization topic modeling; Multimedia Tools & Applications , 2017 (SCI, 1.53);
33) Xian-Ling Mao, Yi-Jing Hao, Qiang Zhou, Wenqing Yuan, Liner Yang, Heyan Huang; A Novel Fast Framework for Topic Labeling Based on Similarity-preserved Hashing; COLING, 2016 （CCF B）
34) Xian-Ling Mao, Yijing Hao, Dang Wang, Heyan Huang; Query Completion in Community-based Question Answering Search; Neurocomputing, 2016 （SCI, 3.317）
35) Xiaochi Wei, Heyan Huang, Liqiang, Nie, Hanwang Zhang, Xian-Ling Mao, Tat-Seng Chua; I Know What You Want to Express: Sentence Element Inference by Incorporating External Knowledge Base; TKDE, 2016（CCF A）
36) Lili Mei, Heyan Huang, Xiaochi Wei, Xian-Ling Mao; A Novel Unsupervised Method for New Words Extraction; SCIENCE CHINA Information Sciences，2016 （SCI）
37) Xiaochi Wei, Heyan Huang, Chin-Yew Lin, Xin Xin, Xian-Ling Mao, Shangguang Wang: Re-Ranking Voting-Based Answers by Discarding User Behavior Biases.； IJCAI, 2015（CCF A）
38) Xian-Ling Mao, Zhao-Yan Ming, Tat-Seng Chua, Si Li, Hongfei Yan and Xiaoming Li; SSHLDA: A Semi-Supervised Hierarchical Topic Model；EMNLP, 2012 （CCF B）
39) Xian-Ling Mao, Jing He, Hongfei Yan, Xiaoming Li; Hierarchical Topic Integration Through Semi-supervised hierarchical Topic Modeling；CIKM, 2012 （CCF B）
40) Xian-Ling Mao, Zhao-Yan Ming, Tat-Seng Chua, Hongfei Yan and Xiaoming Li; Automatic Labeling Hierarchical Topics；CIKM, 2012 （CCF B）
所获奖励
中国电子学会科技进步一等奖(2018)和浙江省科技进步三等奖(2018)