Susan (Xueqing) Liu


Office: 250 Gateway South
Hoboken, NJ 07030
USA

Email: xliu127 AT stevens DOT edu

I am an assistant professor at Department of Computer Science of Stevens Institute of Technology. .

I received my Ph.D. degree from the Computer Science Department at University of Illinois Urbana-Champaign, where I was fortunate to be advised by Prof. Chengxiang (“Cheng”) Zhai and co-advised by Prof. Tao Xie. Prior to UIUC, I received my B.S. degree from the Institution of Interdesciplinary Information Sciences (Yao class) in Tsinghua University in China, 2012

I am actively looking for PhD students and post doc working on NLP for SE/Security.

Research Interests

  • I am interested in natural language processing, text mining, information retrieval and their application to software engineering and security. Here is a list of topics I am working on:

  • Students

    • PhD students:


    • Master students

      • Jiangrui Zheng (Jan 2023-now)

    • Alumni

      • Murad Aleskerov (Aug 2023-Dec2023)
      • Shubhankar Deol (Aug 2023-Dec2023)
      • Shay Dineen (Feb 2021-Feb 2022): NLP for security
      • Zhipeng Lin (Aug 2020-Aug 2021): NLP for security

    Publications

      • VulLibGen: Generating Names of Vulnerability-Affected Packages via a Large Language Model
        Tianyu Chen, Lin Li, Liuchuan Zhu, Zongyang Li, Xueqing Liu, Guangtai Liang, Qianxiang Wang, Tao Xie
        In the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024 Main Conference),
        Bangkok, Thailand, August 2024
        .
        [Paper]

      • HateModerate: Testing Hate Speech Detectors against Content Moderation Policies
        Jiangrui Zheng, Xueqing Liu, Guanqun Yang, Mirazul Haque, Xing Qian, Ravishka Rathnasuriya, Wei Yang, Girish Budhrani
        In the 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024 Finding),
        Mexico City, Mexico, June 2024
        .
        [Paper]

      • Cost-Effective Hyperparameter Optimization for Large Language Model Generation Inference
        Chi Wang, Xueqing Liu, Ahmed H Awadallah
        In the AutoML Conference 2023,
        Berlin, Germany, September 2023
        .
        [Paper]

      • Automated Machine Learning & Tuning with FLAML
        Chi Wang, Qingyun Wu, Xueqing Liu, Luis Quintanilla
        In the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022 Hands-on Tutorial),
        Washington D.C., US, August 2022
        .
        [Paper]

      • TestAug: A Framework for Augmenting Capability-based NLP Tests
        Guanqun Yang, Mirazul Haque, Qiaochu Song, Wei Yang and Xueqing Liu
        To appear. In The 29th International Conference on Computational Linguistics (COLING 2022),
        Gyeongju, Republic of Korea, October 2022
        .
        [Paper]

      • Few-Sample Named Entity Recognition for Security Vulnerability Reports by Fine-Tuning Pre-trained Language Models
        Guanqun Yang, Shay Dineen, Zhipeng Lin, Xueqing Liu
        In International Workshop on Deployable Machine Learning for Security Defense (MLHat @KDD 2021),
        Singapore, August 2021
        .
        [Paper]

      • An Empirical Study on Hyperparameter Optimization for Fine-Tuning Pre-trained Language Models
        Xueqing Liu, Chi Wang
        In The 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021 Main Conference),
        Virtual, August 2021
        .
        [Paper]

      • Benchmarking Meaning Representations in Neural Semantic Parsing
        Jiaqi Guo, Qian Liu, Jian-Guang Lou, Zhenwen Li, Xueqing Liu, Tao Xie, Ting Liu
        In The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020 Main Conference),
        Virtual, November 2020
        .
        [Paper]

      • Data-driven assistance for user decision making on mobile devices
        Ph.D. thesis. 2019
        [Thesis]

      • LinkSO: A Benchmark for Learning to Retrieve Similar Question-Answer Pairs on Software Development Forums
        X. Liu, Chi Wang, Yue Leng, ChengXiang Zhai.
        In ESEC/FSE Workshop on NLP for Software Engineering (NL4SE 2018),
        Lake Buena Vista, Florida, November 2018
        .
        [Short Paper] [Dataset]

      • A Large-scale Empirical Study on Android Runtime-Permission Rationales
        X. Liu, Yue Leng, Wei Yang, Wenyu Wang, ChengXiang Zhai and Tao Xie.
        In Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC 2018), Lisbon, Portugal, October 2018.
        [Paper], [Dataset], [Slides]

      • Mining Android App Descriptions for Permission Requirements Recommendation
        X. Liu, Yue Leng, Wei Yang, ChengXiang Zhai and Tao Xie.
        In Proceedings of the IEEE International Requirements Engineering Conference (22.2%) (RE 2018),
        Banff, Canada, August 2018.

        [Paper], [Dataset], [Slides]

      • Visualizing Path Exploration to Assist Problem Diagnosis for Structural Test Generation
        Jiayi Cao, Angello Astorga, Siwakorn Srisakaokul, Zhengkai Wu, Xueqing Liu, Xusheng Xiao, and Tao Xie.
        In Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC 2018), Posters, Lisbon, Portugal, October 2018.
        [Short Paper], [Slides]

      • Information Retrieval Evaluation as Search Simulation: A General Formal Framework for IR Evaluation
        Yinan Zhang, X. Liu and ChengXiang Zhai.
        In Proceedings of the International Conference on the Theory of Information Retrieval (ICTIR 2017),
        Amsterdam, Netherland, October 2017.

        [Paper], [Demo]

      • Numerical Facet Range Partition: Evaluation Metric and Methods
        X. Liu, ChengXiang Zhai, Wei Han and Onur Gungor
        In Proceedings of the International on World Wide Web Conference (19.6%) (WWW 2017),
        Industry Track, Perth, Australia, April 2017.

        [Paper], [Slides]

      • User Fatigue in Online News Recommendation
        Hao Ma, X. Liu, Zhihong Shen
        In Proceedings of the International on World Wide Web Conference (17.3%) (WWW 2016),
        Industry Track, Montreal, Canada, April 2016.

        [Paper]

      • Towards Interactive Construction of Topical Hierarchy: A Recursive Tensor Decomposition Approach
        Chi Wang, X. Liu, Yanglei Song, Jiawei Han
        In Proceedings of the SIGKDD Conference on Knowledge Discovery and Data Mining (19.5%) (KDD 2015),
        Sydney, Australia, August 2015.

        [Paper], [Code]

      • Automatic Taxonomy Construction from Keywords via Scalable Bayesian Rose Trees
        Yangqiu Song, Shixia Liu, X. Liu, Haixun Wang
        In IEEE Transactions on Knowledge and Data Engineering (TKDE)
        Volume 27(7), Pages 1861 - 1874, July 2015.

        [Paper]

      • Scalable Moment-based Inference for Latent Dirichlet Allocation
        Chi Wang, X. Liu, Yanglei Song, Jiawei Han
        In Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (23.8%) (ECML/PKDD 2014)
        Nancy, France, September 2014.

        [Paper]

      • Scalable Exact Inference for Topic Model
        Chi Wang, X. Liu, Yanglei Song, Jiawei Han
        In ICML Workshop on Moment Based Inference,
        Beijing, China, 2014.

      • Automatic Taxonomy Construction from Keywords
        X. Liu, Yangqiu Song, Shixia Liu, Haixun Wang
        In Proceedings of the SIGKDD Conference on Knowledge Discovery and Data Mining (17.6%) (KDD 2012),
        Beijing, China, August 2012.

        [Paper]

      • Teaching


        Reviews

        • ASE 2023, AAAI 2023, NAACL 2022, ACL 2022, ACL 2021, EMNLP 2020, NAACL 2018/2019, CCS 2018/2019 (sub-reviewer), EMSE 2019, TiiS 2019, IEEE Transactions on Big Data 2020, TKDE 2016, TOIS 2014


        Talks

        • Job talk in 2018: ShanghaiJiaotong University, Tsinghua University IIIS, Peking University, Iowa State University, Stevens Institute of Technology, Microsoft, Case Western Reserve University

        • Conf talks: WWW 2017, FSE 2018, RE 2018


        Kudos to Vasilios for the template: Plain Academic