Yaqing Wang

Ph.D. Student
Computer Science and Engineering
The State University of New York at Buffalo
Email: yaqingwa # buffalo "." edu"
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Short Biography: I am a fifth year Ph.D. Student under the supervision of Dr. Jing Gao in Department of Computer Science and Engineering, The State University of New York at Buffalo. Before joining UB in 2016, I got my Master of Science degree in Statistics from University of California, San Diego and got my Bachelor of Science degree in Mathematics from Shandong University.

I am broadly interested in data science and artificial intelligence with a focus on data mining and machine learning. In particular, My research interests lie in:

  • Data Efficient Learning: A major bottleneck of deep learning models is the reliance on massive sets of hand-labeled training data. We aim to improve data efficiency for deep learning models when labeled data is scarce or noisy. The explorations are in the meta-learning, weak supervision and data augmentation.
  • Infomration Trustworthiness Evaluation The explosion of information from a variety of sources has made it increasingly important to check the credibility and reliability of the data . We devote the efforts to mitigate misinformation and validate the extracted knowledge.
  • Knowledge Discovery: Lots of human knowledge is encoded in text. To make knowledge resources more findable, accessible, interoperable, and reusable (FAIR), we focus on extracting strcutured knowledge from massive collection of text.
  • News!

    • [2020-12] Two co-authored paper on Fairness and Knowledge Tracing are accepted by SDM, 2021.
    • [2020-10] Serve as PC of NAACL 2021.
    • [2020-09] Invited to attend [Microsoft Research AI Breakthroughs 2020].
    • [2020-08] One co-authored paper on Explanation for Outliers is accepted by ICDM, 2020.
    • [2020-07] One paper on Knowledge Graph Validation is accepted by CIKM, 2020.
    • [2020-05] Join Microsoft Research as a research intern.
    • [2020-05] Two papers on automatic textual attribute validation via meta-learning and
      knowledge collection of product knowledge graph are accepted by KDD, 2020.
    • [2020-01] Serve as PC of KDD 2020.
    • [2019-12] One paper accepted by SDM, 2020.
    • [2019-11] One paper accepted by AAAI, 2020.

    • Decomposed Adversarial Learned Inference [Paper]
      Hanbo Li*, Yaqing Wang*(* equal contribution), Changyou Chen, Jing Gao.
    • Adaptive Self-training for Few-shot Neural Seuqence Labeling [Paper]
      Yaqing Wang, Subhabrata Mukherjee, Haoda Chu, Yuancheng Tu, Ming Wu, Jing Gao, Ahmed Hassan Awadallah.
    • Multi-modal Emergent Fake News Detection via Meta Neural Process Networks
      Yaqing Wang, Fenglong Ma, Haoyu Wang, Kishlay Jha,Jing Gao.
    • FedSemi: An Adaptive Federated Semi-Supervised Learning Framework [Paper]
      Zewei Long, Liwei Che, Yaqing Wang, Muchao Ye, Junyu Luo, Jinze Wu, Houping Xiao, Fenglong Ma.
    • MedLane: A Benchmark Dataset for Understandable Medical Language Translation [Paper]
      Junyu Luo, Zifei Zheng, Hanzhong Ye, Muchao Ye, Yaqing Wang, Quanzeng You, Cao Xiao, Fenglong Ma.

    2021

    • Fair Classification Under Strict Unawareness [To appear]
      Haoyu Wang, Hengtong Zhang, Yaqing Wang and Jing Gao.
      SIAM International Conference on Data Mining (SDM), Alexandria, Virginia, US. March 25 - 27, 2021.
    • Towards Learning Outcome Prediction via Modeling Question Explanations and Student Responses [To appear]
      Tianqi Wang, Fenglong Ma, Yaqing Wang, Tang Tang, Longfei Zhang, and Jing Gao.
      SIAM International Conference on Data Mining (SDM), Alexandria, Virginia, US. March 25 - 27, 2021.

    2020

    • Automatic Validation of Textual Attribute Values in ECommerce Catalog by Learning with Limited Labeled Data [Paper]
      Yaqing Wang, Yifan Ethan Xu, Xian Li, Xin Luna Dong and Jing Gao.
      ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), San Diego, CA, August 2020 (Oral Paper Acceptance Rate 5.8%)
    • AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types [Paper]
      Gabriel Blanco Saldana, Saurabh Deshpande, Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Haw-Shiuan Chang, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum and Jiawei Han.
      ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), San Diego, CA, August 2020
    • Weak Supervision for Fake News Detection via Reinforcement Learning [Paper] [Full Paper] [Data]
      Yaqing Wang, Weifeng Yang, Fenglong Ma, Jin Xu, Bin Zhong, Qiang Deng, Jing Gao.
      Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020
    • Efficient Knowledge Graph Validation via Cross-Graph Representation Learning [Paper]
      Yaqing Wang, Fenglong Ma, Jing Gao.
      Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM), Virtual, October, 2020
    • Rare Disease Prediction by Generating Quality-Assured Electronic Health Records [Paper]
      Fenglong Ma*, Yaqing Wang*(* equal contribution), Jing Gao, Houping Xiao, and Jing Zhou.
      Proceedings of the SIAM International Conference on Data Mining(SDM), 2020.
    • LP-Explain: Local Pictorial Explanation for Outliers [To appear]
      Haoyu Liu, Fenglong Ma, Yaqing Wang, Shibo He, Jiming Chen, and Jing Gao.
      IEEE International Conference on Data Mining(ICDM), 2020.

    2019

    • Hypothesis Generation From Text Based On Co-Evolution Of Biomedical Concepts [Paper]
      Kishlay Jha, Guangxu Xun, Yaqing Wang, Aidong Zhang.
      ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2019
    • MeSHProbeNet: A Self-attentive Probe Net for MeSH Indexing [Paper]
      Guangxu Xun, Kishlay Jha, Ye Yuan, Yaqing Wang, Aidong Zhang.
      Bioinformatics, Oxford University Press, 2019

    2018

    • EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection [Paper] [Data&Code] [Video] [Poster]
      Yaqing Wang, Fenglong Ma, Zhiwei Jin, Ye Yuan, Guangxu Xun, Kishlay Jha, Lu Su and Jing Gao.
      ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2018
    • Interpretable Word Embeddings For Medical Domain [Paper]
      Kishlay Jha*, Yaqing Wang* (* equal contribution), Guangxu Xun and Aidong Zhang.
      IEEE International Conference on Data Mining (ICDM), 2018
    • A General Framework for Diagnosis Prediction via Incorporating Medical Code Descriptions [Paper]
      Fenglong Ma, Yaqing Wang, Houping Xiao, Ye Yuan, Radha Chitta, Jing Zhou and Jing Gao.
      IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018
    • Multivariate Sleep Stage Classification using Hybrid Self-Attentive Deep Learning Networks [Paper]
      Ye Yuan, Fenglong Ma, Guangxu Xun,Yaqing Wang, Kebin Jia, Lu Su and Aidong Zhang.
      IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018
    • MuVAN: A Multi-view Attention Network for Multivariate Temporal Data [Paper]
      Ye Yuan, Guangxu Xun, Fenglong Ma, Yaqing Wang, Nan Du, Kebin Jia, Lu Su and Aidong Zhang.
      IEEE International Conference on Data Mining (ICDM), 2018
    • Towards Environment Independent Device Free Human Activity Recognition [Paper]
      Wenjun Jiang, Chenglin Miao, Fenglong Ma, Shuochao Yao, Yaqing Wang, Xin Ma, Chen Song,
      Ye Yuan, Hongfei Xue, Dimitrios Koutsonikolas, Wenyao Xu and Lu Su.
      24th Annual International Conference on Mobile Computing and Networking (MobiCom), 2018
    • Concepts-Bridges: Uncovering Conceptual Bridges Based on Biomedical Concept Evolution [Paper]
      Kishlay Jha, Guangxu Xun, Yaqing Wang, Vishrawas Gopalakrishnan and Aidong Zhang.
      ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2018

    2017

    • Discovering Truths from Distributed Data [Paper] [Code]
      Yaqing Wang, Fenglong Ma, Lu Su, and Jing Gao
      IEEE International Conference on Data Mining (ICDM), 2017

  • ICML 2020, KDD 2020, BigData 2020
  • ICLR 2021, AAAI 2021, NAACL 2021, ACL 2021, KDD 2021, ICML 2021
  • Travel Awards: CIKM 2020, KDD 2020, AAAI 2020, KDD 2018, ICDM 2017
  • UB Presidential Fellowship, 2016-2020
  • Last updated: December 2020.