Discipline: Computer Science and Technology
Title: Associate Professor
Contact number:
E-mail: maoxl@bit.edu.cn
Address: Room 1001, Beijing Institute of Technology Personal Information
Male, prospective professor, doctoral advisor. He mainly researches deep learning and big data mining in science and technology, and specifically researches Information Extraction, Question Answering and Dialogue, and learning to Hashing. He is a member of the Chinese Information Technology Committee of the Chinese Computer Society, an executive member of the Youth Work Committee of the Chinese Information Society, and a member of the Language and Knowledge Committee. He has published more than 50 papers in SIGIR, AAAI, IJCAI, ACM MM, SIGMOD, WWW, TOIS, TKDE and other international journal conferences. Won the Best paper Award of NLPCC 2019 and ICKG 2020 respectively; Some of the achievements won the first prize of Science and Technology Progress of the Chinese Institute of Electronics (2018) and the third prize of Science and Technology Progress of Zhejiang Province (2018), and is undertaking or participating in more than 10 national key research and development projects, National Natural Science Foundation key projects and surface projects. He was the director of research and development of Hammer Scholar platform (hammerscholar.net). Students under our guidance have been employed or furthered in IT companies or research institutes such as ByteDance, Microsoft, Baidu, Huawei, Ali, Didi Research Institute, Xiaomi Technology, Institute of Information and Industry of the Chinese Academy of Sciences, University of Edinburgh, etc.

Research Direction
He mainly researches deep learning and big data mining in science and technology, and specifically researches Information Extraction, Question Answering and Dialogue, and learning to Hashing.

Personal Information
Male, prospective professor, doctoral advisor. He mainly researches deep learning and big data mining in science and technology, and specifically researches Information Extraction, Question Answering and Dialogue, and learning to Hashing. He is a member of the Chinese Information Technology Committee of the Chinese Computer Society, an executive member of the Youth Work Committee of the Chinese Information Society, and a member of the Language and Knowledge Committee. He has published more than 50 papers in SIGIR, AAAI, IJCAI, ACM MM, SIGMOD, WWW, TOIS, TKDE and other international journal conferences. Won the Best paper Award of NLPCC 2019 and ICKG 2020 respectively; Some of the achievements won the first prize of Science and Technology Progress of the Chinese Institute of Electronics (2018) and the third prize of Science and Technology Progress of Zhejiang Province (2018), and is undertaking or participating in more than 10 national key research and development projects, National Natural Science Foundation key projects and surface projects. He was the director of research and development of Hammer Scholar platform (hammerscholar.net). Students under our guidance have been employed or furthered in IT companies or research institutes such as ByteDance, Microsoft, Baidu, Huawei, Ali, Didi Research Institute, Xiaomi Technology, Institute of Information and Industry of the Chinese Academy of Sciences, University of Edinburgh, etc.

Personal Information
Male, prospective professor, doctoral advisor. He mainly researches deep learning and big data mining in science and technology, and specifically researches Information Extraction, Question Answering and Dialogue, and learning to Hashing. He is a member of the Chinese Information Technology Committee of the Chinese Computer Society, an executive member of the Youth Work Committee of the Chinese Information Society, and a member of the Language and Knowledge Committee. He has published more than 50 papers in SIGIR, AAAI, IJCAI, ACM MM, SIGMOD, WWW, TOIS, TKDE and other international journal conferences. Won the Best paper Award of NLPCC 2019 and ICKG 2020 respectively; Some of the achievements won the first prize of Science and Technology Progress of the Chinese Institute of Electronics (2018) and the third prize of Science and Technology Progress of Zhejiang Province (2018), and is undertaking or participating in more than 10 national key research and development projects, National Natural Science Foundation key projects and surface projects. He was the director of research and development of Hammer Scholar platform (hammerscholar.net). Students under our guidance have been employed or furthered in IT companies or research institutes such as ByteDance, Microsoft, Baidu, Huawei, Ali, Didi Research Institute, Xiaomi Technology, Institute of Information and Industry of the Chinese Academy of Sciences, University of Edinburgh, etc.

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)