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个人简介

2019.7至今,北京理工大学计算机学院,副教授 2019.10 -2020.8,爱丁堡大学信息学院自然语言处理(EdinburghNLP)访问学者 2015.11-2019.7, 北京理工大学计算机学院,讲师 2015.2-2015.9, 澳大利亚昆士兰科技大学,博士后 2011-2015,澳大利亚昆士兰科技大学数据科学专业,博士 高扬,副教授;爱丁堡大学(EdinburghNLP)访问学者,导师Mirella Lapata教授。主要从事语义深度理解与可解释推理、大模型训练、文本自动生成技术,促进信息检索、文本摘要、智能问答等系统应用。发表国际期刊会议高水平论文50余篇,包括ACL, AAAI, WWW, IJCAI, EMNLP, TKDE, TNNLS, Information Sciences, COLING, 等。担任Web Intelligence期刊的咨询主编,Natural Language Processing Journal期刊的编委,CCL2023文本生成track领域主席,国际会议 A AAI, ACL, EMNLP, NAACL, COLING, ICDM 等程序委员会委员,及TNNLS, Computing Surveys等期刊审稿人,评为2021年ACL大会Outstanding Reviewer。作为参与人获得中国电子学会科技进步奖一等奖,国防科技进步二等奖。中文信息学会自然语言生成与智能写作委员会副秘书长,中国中文信息学会CIPS青工委委员,SMP 专委会委员。 所获奖励 2018年 “基于海量知识的智能理解与推理关键技术及智能政务应用”获中国电子学会科技进步奖一等奖(11) 2022年“异构大数据智能处理关键技术及应用”获国防科技进步二等奖(7) 2021年, 北京理工大学优秀硕士学位论文(王浩男同学),指导教师

研究领域

文本生成、可解释推理、大模型训练 研究基于文本(同时也包含图像、视频、大规模知识等模态)语义的表示、抽取、生成的计算模型。研究并利用包括深度学习计算、数据驱动的文本生成技术,促进文本摘要、跨语言应用、图像/视频描述生成、风格迁移、智能问答等系统应用。研究的总体目标在于利用机器快速处理大规模数据的能力,达到类人的信息抽取、语义理解、逻辑推理以及生成语言的能力。

近期论文

查看导师新发文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

Yuxiang Zhou, Lejian Liao, Yang Gao, Rui Wang, Heyan Huang: TopicBERT: A Topic-Enhanced Neural Language Model Fine-Tuned for Sentiment Classification. IEEE Trans. Neural Networks Learn. Syst. 34(1): 380-393 (2023) Rongliang Chen, Youjun Deng, Yang Gao, Jingzhi Li, Hongyu Liu: Locating multiple magnetized anomalies by geomagnetic monitoring. CoRR abs/2301.12218 (2023) Luyang Liu, Heyan Huang, Yang Gao, Yongfeng Zhang: Improving neural topic modeling via Sinkhorn divergence. Inf. Process. Manag. 59(3): 102864 (2022) Mucheng Ren, Heyan Huang, Yang Gao: Interpretable modular knowledge reasoning for machine reading comprehension. Neural Comput. Appl. 34(12): 9901-9918 (2022) Mucheng Ren, Heyan Huang, Yuxiang Zhou, Qianwen Cao, Yuan Bu, Yang Gao: TCM-SD: A Benchmark for Probing Syndrome Differentiation via Natural Language Processing. CCL 2022: 247-263 Xiaochen Liu, Yang Gao, Yu Bai, Jiawei Li, Yinan Hu, Heyan Huang, Boxing Chen: PSP: Pre-trained Soft Prompts for Few-Shot Abstractive Summarization. COLING 2022: 6355-6368 Jian Cao, Yang Gao, Heyan Huang: A Prototype-Based Few-Shot Named Entity Recognition. ICCAI 2022: 338-343 Jiaao Zhan, Yang Gao, Yu Bai, Qianhui Liu: Stage-wise Stylistic Headline Generation: Style Generation and Summarized Content Insertion. IJCAI 2022: 4489-4495 Yu Bai, Heyan Huang, Kai Fan, Yang Gao, Yiming Zhu, Jiaao Zhan, Zewen Chi, Boxing Chen: Unifying Cross-lingual Summarization and Machine Translation with Compression Rate. SIGIR 2022: 1087-1097 Jiawei Li, Mucheng Ren, Yang Gao, Yizhe Yang: Ask to Understand: Question Generation for Multi-hop Question Answering. CoRR abs/2203.09073 (2022) Mucheng Ren, Heyan Huang, Yuxiang Zhou, Yuan Bu, Yang Gao: TCM-SD: A Large Dataset for Syndrome Differentiation in Traditional Chinese Medicine. CoRR abs/2203.10839 (2022) Jiaao Zhan, Qian Chen, Boxing Chen, Wen Wang, Yu Bai, Yang Gao: Non-autoregressive Translation with Dependency-Aware Decoder. CoRR abs/2203.16266 (2022) Xiaochen Liu, Yu Bai, Jiawei Li, Yinan Hu, Yang Gao: PSP: Pre-trained Soft Prompts for Few-Shot Abstractive Summarization. CoRR abs/2204.04413 (2022) Yizhe Yang, Yang Gao, Jiawei Li, Heyan Huang: G2: Enhance Knowledge Grounded Dialogue via Ground Graph. CoRR abs/2204.12681 (2022) Mucheng Ren, Heyan Huang, Yang Gao: SKR-QA: Semantic ranking and knowledge revise for multi-choice question answering. Neurocomputing 459: 142-151 (2021) Yuxiang Zhou, Lejian Liao, Yang Gao, Heyan Huang: Extracting salient features from convolutional discriminative filters. Inf. Sci. 558: 265-279 (2021) Qian Liu, Heyan Huang, Junyu Xuan, Guangquan Zhang, Yang Gao, Jie Lu: A Fuzzy Word Similarity Measure for Selecting Top-$k$ Similar Words in Query Expansion. IEEE Trans. Fuzzy Syst. 29(8): 2132-2144 (2021) Haonan Wang, Yang Gao, Yu Bai, Mirella Lapata, Heyan Huang: Exploring Explainable Selection to Control Abstractive Summarization. AAAI 2021: 13933-13941 Mucheng Ren, Heyan Huang, Yang Gao: Prediction or Comparison: Toward Interpretable Qualitative Reasoning. ACL/IJCNLP (Findings) 2021: 664-675 Yu Bai, Yang Gao, Heyan Huang: Cross-Lingual Abstractive Summarization with Limited Parallel Resources. ACL/IJCNLP (1) 2021: 6910-6924 Yuxiang Zhou, Lejian Liao, Yang Gao, Zhanming Jie, Wei Lu: To be Closer: Learning to Link up Aspects with Opinions. EMNLP (1) 2021: 3899-3909 Jiancheng Du, Yang Gao: Query-focused Abstractive Summarization via Question-answering Model. ICBK 2021: 440-447 Yu Bai, Yang Gao, Heyan Huang: Cross-Lingual Abstractive Summarization with Limited Parallel Resources. CoRR abs/2105.13648 (2021) Mucheng Ren, Heyan Huang, Yang Gao: Prediction or Comparison: Toward Interpretable Qualitative Reasoning. CoRR abs/2106.02399 (2021) Yuxiang Zhou, Lejian Liao, Yang Gao, Zhanming Jie, Wei Lu: To be Closer: Learning to Link up Aspects with Opinions. CoRR abs/2109.08382 (2021) Yu Bai, Heyan Huang, Kai Fan, Yang Gao, Zewen Chi, Boxing Chen: Bridging the Gap: Cross-Lingual Summarization with Compression Rate. CoRR abs/2110.07936 (2021) Yang Gao, Yang Wang, Luyang Liu, Yi-Di Guo, Heyan Huang: Neural abstractive summarization fusing by global generative topics. Neural Comput. Appl. 32(9): 5049-5058 (2020) Yuxiang Zhou, Lejian Liao, Yang Gao, Heyan Huang, Xiaochi Wei: A Discriminative Convolutional Neural Network with Context-aware Attention. ACM Trans. Intell. Syst. Technol. 11(5): 57:1-57:21 (2020) Yang Gao, Yue Xu, Heyan Huang, Qian Liu, Linjing Wei, Luyang Liu: Jointly Learning Topics in Sentence Embedding for Document Summarization. IEEE Trans. Knowl. Data Eng. 32(4): 688-699 (2020) Heyan Huang, Hao Wu, Xiaochi Wei, Yang Gao, Shumin Shi: Mapping sentences to concept transferred space for semantic textual similarity. Knowl. Inf. Syst. 60(3): 1353-1376 (2019) Ming Lei, Heyan Huang, Chong Feng, Yang Gao, Chao Su: An input information enhanced model for relation extraction. Neural Comput. Appl. 31(12): 9113-9126 (2019) Ran Wei, Heyan Huang, Yang Gao: Sharing Pre-trained BERT Decoder for a Hybrid Summarization. CCL 2019: 169-180 Wenbo Wang, Yang Gao, Heyan Huang, Yuxiang Zhou: Concept Pointer Network for Abstractive Summarization. EMNLP/IJCNLP (1) 2019: 3074-3083 Mucheng Ren, Heyan Huang, Ran Wei, Hongyu Liu, Yu Bai, Yang Wang, Yang Gao: Multiple Perspective Answer Reranking for Multi-passage Reading Comprehension. NLPCC (2) 2019: 736-747 Luyang Liu, Heyan Huang, Yang Gao, Yongfeng Zhang, Xiaochi Wei: Neural Variational Correlated Topic Modeling. WWW 2019: 1142-1152 Wenbo Wang, Yang Gao, Heyan Huang, Yuxiang Zhou: Concept Pointer Network for Abstractive Summarization. CoRR abs/1910.08486 (2019) Yang Gao, Wenbo Wang, Liu Qian, Heyan Huang, Yuefeng Li: Extending Embedding Representation by Incorporating Latent Relations. IEEE Access 6: 52682-52690 (2018) Qian Liu, Heyan Huang, Guangquan Zhang, Yang Gao, Junyu Xuan, Jie Lu: Semantic Structure-Based Word Embedding by Incorporating Concept Convergence and Word Divergence. AAAI 2018: 5261-5268 Qian Liu, Heyan Huang, Yang Gao, Xiaochi Wei, Yuxin Tian, Luyang Liu: Task-oriented Word Embedding for Text Classification. COLING 2018: 2023-2032 Md. Abul Bashar, Yuefeng Li, Yan Shen, Yang Gao, Wei Huang: Conceptual annotation of text patterns. Comput. Intell. 33(4): 948-979 (2017) Yang Gao, Yuefeng Li, Raymond Y. K. Lau, Yue Xu, Md. Abul Bashar: Finding Semantically Valid and Relevant Topics by Association-Based Topic Selection Model. ACM Trans. Intell. Syst. Technol. 9(1): 3:1-3:22 (2017) Linjing Wei, Heyan Huang, Yang Gao, Xiaochi Wei, Chong Feng: Aligning Gaussian-Topic with Embedding Network for Summarization Ranking. APWeb/WAIM (1) 2017: 610-625 Yi-Di Guo, Heyan Huang, Yang Gao, Chi Lu: Conceptual Multi-layer Neural Network Model for Headline Generation. CCL 2017: 355-367 Qian Liu, Heyan Huang, Yang Gao, Xiaochi Wei, Ruiying Geng: Leveraging Pattern Associations for Word Embedding Models. DASFAA (1) 2017: 423-438 Qian Liu, Heyan Huang, Jie Lu, Yang Gao, Guangquan Zhang: Enhanced word embedding similarity measures using fuzzy rules for query expansion. FUZZ-IEEE 2017: 1-6 Yang Gao, Linjing Wei, Heyan Huang, Qian Liu: Topical Sentence Embedding for Query Focused Document Summarization. SML@IJCAI 2017: 21-26 Md. Abul Bashar, Yuefeng Li, Yang Gao: A Framework for Automatic Personalised Ontology Learning. WI 2016: 105-112 Yang Gao, Yue Xu, Yuefeng Li: Pattern-based Topics for Document Modelling in Information Filtering. IEEE Trans. Knowl. Data Eng. 27(6): 1629-1642 (2015) Yutong Wu, Yang Gao, Yuefeng Li, Yue Xu, Meihua Chen: Mining Topical Relevant Patterns for Multi-document Summarization. WI-IAT (3) 2015: 114-117 Yang Gao, Yue Xu, Yuefeng Li: Pattern-based Topic Modelling for Query Expansion. AusDM 2014: 165-173 Yang Gao, Yue Xu, Yuefeng Li: Topical Pattern Based Document Modelling and Relevance Ranking. WISE (1) 2014: 186-201 Yang Gao, Yue Xu, Yuefeng Li: A topic based document relevance ranking model. WWW (Companion Volume) 2014: 271-272 Yang Gao, Yue Xu, Yuefeng Li: Pattern-Based Topic Models for Information Filtering. ICDM Workshops 2013: 921-928 Yang Gao, Yue Xu, Yuefeng Li, Bin Liu: A Two-Stage Approach for Generating Topic Models. PAKDD (2) 2013: 221-232

学术兼职

中文信息学会自然语言生成与智能写作副秘书长 担任国际期刊 Web Intelligence 的副主编 担任国际会议程序委员(PC Member): AAAI, EMNLP, ACL, NAACL, COLING,ICDM等 担任国际会议/期刊, 包括 AAAI, EMNLP, ACL, IJCAI, Knowledge-Based Systems,IEEE Transactions on Cybernetics等评审人 CIPS青工委委员 SMP 专委会委员

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