基本信息
庞亮  男  硕导  中国科学院计算技术研究所
电子邮件: pangliang@ict.ac.cn
通信地址: 北京市海淀区中关村科学院南路6号
邮政编码:

招生信息

   
招生专业
081202-计算机软件与理论
招生方向
自然语言处理
信息检索

教育背景

2012-09--2018-06   中国科学院大学   博士
2008-09--2012-06   华中科技大学   学士

工作经历

   
工作简历
2021-09~现在, 中国科学院计算技术研究所, 副研究员
2018-07~2021-09,中国科学院计算技术研究所, 助理研究员

教授课程

机器学习导论
网络数据挖掘

专利与奖励

   

出版信息

   
发表论文
[1] Hong, Xin, Lan, Yanyan, Pang, Liang, Guo, Jiafeng, Cheng, Xueqi. Visual Reasoning: From State to Transformation. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE[J]. 2023, 45(9): 11352-11364, http://dx.doi.org/10.1109/TPAMI.2023.3268093.
[2] Chenxu Yang, 林政, Lanrui Wang, Chong Tian, Liang Pang, Jiangnan Li, Qirong Ho, Yanan Cao, 王伟平. Multi-level Adaptive Contrastive Learning for Knowledge Internalization in Dialogue Generation. EMNLP23null. 2023, [3] 薄琳, 庞亮, 张朝亮, 王钊伟, 董振华, 徐君, 文继荣. ACRank:在神经排序模型中引入检索公理知识. 计算机学报[J]. 2023, 46(10): 2117-2131, http://lib.cqvip.com/Qikan/Article/Detail?id=7110547707.
[4] 李家宁, 熊睿彬, 兰艳艳, 庞亮, 郭嘉丰, 程学旗. 因果机器学习的前沿进展综述. 计算机研究与发展[J]. 2023, 60(1): 59-84, http://lib.cqvip.com/Qikan/Article/Detail?id=7108741863.
[5] 侯丹阳, 庞亮, 丁汉星, 兰艳艳, 程学旗. 语言模型攻击性的自动评价方法. 中文信息学报[J]. 2022, 36(1): 12-20, http://lib.cqvip.com/Qikan/Article/Detail?id=7106890982.
[6] 郑婷一, 庞亮, 靳小龙. 平台经济中的数据与算法安全. 大数据[J]. 2022, 8(4): 56-66, http://lib.cqvip.com/Qikan/Article/Detail?id=7107604472.
[7] Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng. Match-Prompt: Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning. Proceedings of the 31st ACM Int’l Conference on Information and Knowledge Management (CIKM ’22)null. 2022, http://arxiv.org/abs/2204.02725.
[8] 王奕婷, 兰艳艳, 庞亮, 郭嘉丰, 程学旗. 基于相关修正的无偏排序学习方法. 计算机研究与发展[J]. 2022, 59(12): 2867-2877, http://lib.cqvip.com/Qikan/Article/Detail?id=7108493548.
[9] Hao, Changying, Pang, Liang, Lan, Yanyan, Wang, Yan, Guo, Jiafeng, Cheng, Xueqi. Sketch and Customize: A Counterfactual Story Generator. AAAI Conference on Artificial Intelligence (AAAI)null. 2021, http://arxiv.org/abs/2104.00929.
[10] Xiong, Ruibin, Chen, Yimeng, Pang, Liang, Chen, Xueqi, Lan, Yanyan. Uncertainty Calibration for Ensemble-Based Debiasing Methods. The Thirty-first Annual Conference on Neural Information Processing Systems (NIPS 2017)null. 2021, [11] Zhu, Yunchang, Pang, Liang, Lan, Yanyan, Cheng, Xueqi. L2R2: Leveraging Ranking for Abductive Reasoning. The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018)null. 2021, [12] Xiao, Fei, Pang, Liang, Lan, Yanyan, Wang, Yan, Shen, Huawei, Cheng, Xueqi. Transductive Learning for Unsupervised Text Style Transfer. Conference on Empirical Methods in Natural Language Processing (EMNLP 2017)null. 2021, [13] 庞亮, 兰艳艳, 程学旗. Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching. 2016ACM信息和知识管理会议null. 2021, http://arxiv.org/abs/2101.06423.
[14] Hong, Xin, Lan, Yanyan, Pang, Liang, Guo, Jiafeng, Cheng, Xueqi. Transformation Driven Visual Reasoning. 2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)null. 2021, http://arxiv.org/abs/2011.13160.
[15] Pang, Liang, Xu, Jun, Ai, Qingyao, Lan, Yanyan, Cheng, Xueqi, Wen, Jirong. SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval. THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCEnull. 2020, http://arxiv.org/abs/1912.05891.
[16] Zhang, Hainan, Lan, Yanyan, Pang, Liang, Chen, Hongshen, Ding, Zhuoye, Yin, Dawei. Modeling Topical Relevance for Multi-Turn Dialogue Generation. 57TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2019)null. 2020, http://arxiv.org/abs/2009.12735.
[17] Jiang, Bin, Yang, Jingxu, Yang, Chao, Zhou, Wanyue, Pang, Liang, Zhou, Xiaokang, 庞亮. Knowledge Augmented Dialogue Generation with Divergent Facts Selection. KNOWLEDGE-BASED SYSTEMS[J]. 2020, 210: http://dx.doi.org/10.1016/j.knosys.2020.106479.
[18] Yu, Weijie, Xu, Chen, Xu, Jun, Pang, Liang, Gao, Xiaopeng, Wang, Xiaozhao, Wen, JiRong. Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains. 57TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2019)null. 2020, http://arxiv.org/abs/2010.07717.
[19] 朱运昌, 庞亮, 兰艳艳, 程学旗. 面向长答案的机器问答研究. 山西大学学报:自然科学版[J]. 2020, 43(4): 938-946, http://lib.cqvip.com/Qikan/Article/Detail?id=7103858489.
[20] Hao Changying, Pang Liang, Lan Yanyan, Sun Fei, Guo Jiafeng, Cheng Xueqi. Ranking Enhanced Dialogue Generation. 57TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2019)null. 2020, http://arxiv.org/abs/2008.05640.
[21] Guo, Jiafeng, Fan, Yixing, Pang, Liang, Yang, Liu, Ai, Qingyao, Zamani, Hamed, Wu, Chen, Croft, W Bruce, Cheng, Xueqi, 范意兴. A Deep Look into neural ranking models for information retrieval. INFORMATION PROCESSING & MANAGEMENT[J]. 2020, 57(6): http://dx.doi.org/10.1016/j.ipm.2019.102067.
[22] Cui, Wanqing, Lan, Yanyan, Pang, Liang, Guo, Jiafeng, Cheng, Xueqi. Beyond Language: Learning Commonsense from Images for Reasoning. 57TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2019)null. 2020, http://arxiv.org/abs/2010.05001.
[23] Pang, Liang, Lan, Yanyan, Guo, Jiafeng, Xu, Jun, Su, Lixin, Cheng, Xueqi. HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering. THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCEnull. 2019, 6875-6882, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000486572501051.
[24] 赵峻瑶, 庞亮, 苏立新, 兰艳艳, 郭嘉丰, 程学旗. 多段落中文阅读理解模型. 模式识别与人工智能[J]. 2019, 32(2): 161-168, http://lib.cqvip.com/Qikan/Article/Detail?id=7001533580.
[25] 陈丽娟, 兰艳艳, 庞亮, 李家宁, 郭嘉丰, 徐君, 程学旗. 创新构想话题生成. 山西大学学报:自然科学版[J]. 2019, 42(1): 51-58, http://lib.cqvip.com/Qikan/Article/Detail?id=6100181369.
[26] Fan Yixing, Guo Jiafeng, Lan Yanyan, Xu Jun, Pang Liang, Cheng Xueqi, Assoc Comp Machinery. Learning Visual Features from Snapshots for Web Search. CIKM'17: PROCEEDINGS OF THE 2017 ACM CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENTnull. 2017, 247-256, http://dx.doi.org/10.1145/3132847.3132943.
[27] Pang Liang, Lan Yanyan, Guo Jiafeng, Xu Jun, Xu Jingfang, Cheng Xueqi. DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval. CIKM'17: PROCEEDINGS OF THE 2017 ACM CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENTnull. 2017, 257-266, http://dx.doi.org/10.1145/3132847.3132914.
[28] 万圣贤, 兰艳艳, 郭嘉丰, 徐君, 庞亮, 程学旗. 用于文本分类的局部化双向长短时记忆. 中文信息学报[J]. 2017, 31(3): 62-68, http://lib.cqvip.com/Qikan/Article/Detail?id=672685409.
[29] 庞亮, 兰艳艳, 徐君, 郭嘉丰, 万圣贤, 程学旗. 深度文本匹配综述. 计算机学报[J]. 2017, 40(4): 985-1003, http://lib.cqvip.com/Qikan/Article/Detail?id=671801236.
[30] Wan Shengxian, Lan Yanyan, Guo Jiafeng, Xu Jun, Pang Liang, Cheng Xueqi, AAAI. A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations. THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCEnull. 2016, 2835-2841, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485474202122.
[31] Hu, Hong, Pang, Liang, Shi, Zhongzhi. Image matting in the perception granular deep learning. KNOWLEDGE-BASED SYSTEMS[J]. 2016, 102: 51-63, http://dx.doi.org/10.1016/j.knosys.2016.03.018.
[32] Pang Liang, Lan Yanyan, Guo Jiafeng, Xu Jun, Cheng Xueqi, AAAI. SPAN: Understanding a Question with Its Support Answers. THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCEnull. 2016, 4250-4251, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485474204070.
[33] Pang Liang, Lan Yanyan, Guo Jiafeng, Xu Jun, Wan Shengxian, Cheng Xueqi. Text Matching as Image Recognition. THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCEnull. 2016, 2793-2799, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485474202116.
[34] Hu, Hong, Pang, Liang, Tian, Dongping, Shi, Zhongzhi. Perception granular computing in visual haze-free task. EXPERT SYSTEMS WITH APPLICATIONS[J]. 2014, 41(6): 2729-2741, http://dx.doi.org/10.1016/j.eswa.2013.11.006.
[35] Hu, Hong, Pang, Liang, Tian, Dongping, Shi, Zhongzhi. Perception granular computing in visual haze-free task. EXPERT SYSTEMS WITH APPLICATIONS[J]. 2014, 41(6): 2729-2741, http://dx.doi.org/10.1016/j.eswa.2013.11.006.
[36] Hu Hong, Pang Liang, Tian Dongping, Shi Zhongzhi, Wang S, Zhu X, He T. Granular Computing in Visual Haze-Free Task. 2013 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING (GRC)null. 2013, 147-152, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000333334400028.

科研活动

   
科研项目
( 1 ) 机器问答中的探索、推理和归纳机制研究, 主持, 国家级, 2020-01--2023-12
( 2 ) 结合检索和生成的多轮对话模型研究, 主持, 院级, 2020-03--2020-12
( 3 ) 融合因果知识的预训练语言模型, 主持, 院级, 2022-01--2022-12
参与会议
(1)Beyond Probability Ranking Principle: Modeling the Dependencies among Documents    2021-07-11
(2)Beyond Probability Ranking Principle: Modeling the Dependencies among Documents    2021-03-08