简 历:
2021年9月 — 今:中科院计算所,副研究员
2018年7月 — 2021年9月:中科院计算所,助理研究员
2012年9月 — 2018年6月:中国科学院大学,计算机学院,博士生
2008年9月 — 2012年6月:华中科技大学,软件学院,本科生
主要论著:
期刊文章:
[1] Jiafeng Guo, Yixing Fan, Liang Pang, Liu Yang, Qingyao Ai, Hamed Zamani, Chen Wu, W. Bruce Croft and Xueqi Cheng. A Deep Look into Neural Ranking Models for Information Retrieval. Information Processing & Management (IPM).
[2] Liang Pang, Yanyan Lan, Jun Xu, Jiafeng Guo, Shengxian Wan, and Xueqi Cheng. A Survey on Deep Text Matching. Chinese Journal of Computers, Volume 40, 2017. 庞亮,兰艳艳,郭嘉丰,徐君,万圣贤,程学旗. 深度文本匹配综述 计算机学报,2017.
[3] Bin Jiang, Jingxu Yang, Chao Yang, Wanyue Zhou, Liang Pang, Xiaokang Zhou Knowledge Augmented Dialogue Generation with Divergent Facts Selection. Knowledge-Based Systems, 2020
会议文章:
[1] Liang Pang, Yanyan Lan, Xueqi Cheng. Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching. Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM '21)
[2] Changying Hao, Liang Pang, Yanyan Lan, Yan Wang, Jiafeng Guo, Xueqi Cheng. Sketch and Customize: A Counterfactual Story Generator. Proceedings of the 35th AAAI Conference on Artificial Intelligence. (AAAI 2021)
[3] Fei Xiao, Liang Pang, Yanyan Lan, Yan Wang, Huawei Shen and Xueqi Cheng. Transductive Learning for Unsupervised Text Style Transfer. The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021)
[4] Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen and Xueqi Cheng. Adaptive Information Seeking for Open-Domain Question Answering. The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021) (First place in the HotpotQA Fullwiki leaderboard, since Sep. 2021)
[5] Ruibin Xiong, Yimeng Chen, Liang Pang, Xueqi Cheng, Zhi-Ming Ma and Yanyan Lan. Uncertainty Calibration for Ensemble-Based Debiasing Methods. Proceedings of the 35th Conference on Neural Information Processing Systems (NeurIPS 2021)
[6] Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng. Transformation Driven Visual Reasoning. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. (CVPR 2021)
[7] Liang Pang, Jun Xu, Qingyao Ai, Yanyan Lan, Xueqi Cheng, and Jirong Wen. SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval. Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'20)
[8] Yunchang Zhu, Liang Pang, Yanyan Lan, and Xueqi Cheng. L2R2: Leveraging Ranking for Abductive Reasoning. Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'20)
[9] Changying Hao, Liang Pang, Yanyan Lan, Fei Sun, Jiafeng Guo, Xueqi Cheng. Ranking Enhanced Dialogue Generation. Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM'20)
[10] Hainan Zhang, Yanyan Lan, Liang Pang, Hongshen Chen, Zhuoye Ding, and Dawei Yin. Modeling Topical Relevance for Multi-Turn Dialogue Generation. Proceedings of the 29th International Joint Conference on Artificial Intelligence. (IJCAI 2020)
[11] Yimeng Chen, Yanyan Lan, Ruibin Xiong, Liang Pang, Zhiming Ma, and Xueqi Cheng. Evaluating Natural Language Generation via Unbalanced Optimal Transport. Proceedings of the 29th International Joint Conference on Artificial Intelligence. (IJCAI 2020)
[12] Weijie Yu, Chen Xu, Jun Xu, Liang Pang, Xiaopeng Gao, Xiaozhao Wang, Ji-Rong Wen. Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains. The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020)
[13] Wanqing Cui, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng Beyond Language: Learning Commonsense from Images for Reasoning. The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020)
[14] Bin Jiang, Jing Hou, Wanyue Zhou, Chao Yang, Shihan Wang, Liang Pang METNet: A Mutual Enhanced Transformation Network for Aspect-based Sentiment Analysis. The 28th International Conference on Computational Linguistics (COLING 2020)
[15] Bin Jiang, Wanyue Zhou, Jingxu Yang, Chao Yang, Shihan Wang, Liang Pang PEDNet: A Persona Enhanced Dual Alternating Learning Network for Conversational Response Generation. The 28th International Conference on Computational Linguistics (COLING 2020)
[16] Cinjon Resnick, Chao Gao, Gorog Marton, Takayuki Osogami, Liang Pang, Toshihiro Takahi. Pommerman & NeurIPS 2018 The NeurIPS'18 Competition, Springer, Cham
[17] Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Lixin Su and Xueqi Cheng. HAS-QA: Hierarchical Answr Spans Model for Open-Domain Question Answering. Proceedings of the 33th AAAI Conference on Artificial Intelligence. (AAAI 2019)
[18] Hainan Zhang, Yanyan Lan, Liang Pang, Jiafeng Guo and Xueqi Cheng. ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation. Proceedings of the 57th Conference of the Association for Computational Linguistics. (ACL 2019)
[19] Lijuan Chen, Yanyan Lan, Liang Pang, Jiafeng Guo, Jun Xu and Xueqi Cheng. RI-Match: Integrating both Representations and Interactions for Deep Semantic Matching Proceedings of the 14th Asia Information Retrieval Societies Conference. (AIRS 2018)
[20] Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu and Xueqi Cheng. DeepRank: a New Deep Architecture for Relevance Ranking in Information Retrieval. Proceedings of the 26th ACM International Conference on Information and Knowledge Management. (CIKM 2017)
[21] Liang Pang, Yanyan Lan, Jun Xu, Jiafeng Guo and Xueqi Cheng. Locally Smoothed Neural Networks. The 9th Asian Conference on Machine Learning. (ACML 2017)
[22] Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu and Xueqi Cheng. A Deep Investigation of Deep IR Models. Neu-IR: The SIGIR 2017 Workshop on Neural Information Retrieval. (SIGIR2017)
[23] Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Liang Pang and Xueqi Cheng. Learning Visual Features from Snapshots for Web Search . Proceedings of the 26th ACM International Conference on Information and Knowledge Management (CIKM 2017), Singapore. (Best Full Paper Runner-up)
[24] Yixing Fan, Liang Pang, Jianpeng Hou, Jiafeng Guo, Yanyan Lan and Xueqi Cheng. MatchZoo: A Toolkit for Deep Text Matching. Neu-IR: The SIGIR 2017 Workshop on Neural Information Retrieval, Tokyo, 2017.
[25] Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Shengxian Wan and Xueqi Cheng. Text Matching as Image Recognition. The 13th AAAI Conference on Artificial Intelligence, Phoenix, Arizona, USA. (AAAI 2016)
[26] Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu and Xueqi Cheng. A Study of MatchPyramid Models on Ad-hoc Retrieval. Neu-IR: The SIGIR 2016 Workshop on Neural Information Retrieval
[27] Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng. SPAN: Understanding a Question with Its Support Answers. The 13th AAAI Conference on Artificial Intelligence Student Abstract, Phoenix, Arizona, USA. (AAAI 2016)
[28] Shengxian Wan, Yanyan Lan, Jiafeng Guo, Jun Xu, Liang Pang and Xueqi Cheng. A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations. The 13th AAAI Conference on Artificial Intelligence, Phoenix, Arizona, USA. (AAAI 2016)
[29] Shengxian Wan, Yanyan Lan, Jiafeng Guo, Jun Xu, Liang Pang and Xueqi Cheng. Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN. Proceedings of the 25th International Joint Conference on Artificial Intelligence. (IJCAI 2016)
[30] Liu Yang, Qingyao Ai, Damiano Spina, Ruey-Cheng Chen, Liang Pang, W. Bruce Croft, Jiafeng Guo and Falk Scholer. Beyond Factoid QA: Effective Methods for Non-factoid Answer Sentence Retrieval. The 38th European Conference on Information Retrieval, Padua, Italy (ECIR 2016)
科研项目:
[1] NSFC青年基金项目: 机器问答中的探索、推理和归纳机制研究,项目负责人;
[2] AI-Lab腾讯犀牛鸟专项: 结合检索和生成的多轮对话模型研究,项目负责人;
获奖及荣誉:
1、2019年中国中文信息学会优秀博士论文奖
2、2018年北京市优秀博士毕业生
3、2018年NeurIPS 2018多智能体挑战赛强化学习组第一名
4、2017年CIKM最佳论文候选奖
5、2017年Kaggle Question Pairs Competition,第四名
6、2016年ByteCup算法竞赛第一名
庞亮 副研究员
研究方向:
所属部门:智能算法安全重点实验室
导师类别:硕导
联系方式:pangliang@ict.ac.cn
个人网页:https://pl8787.github.io/