About me

I am an Applied Scientist from Amazon Search. I obtained my Ph.D. degree from the Department of Computer Science and Engineering, Hong Kong University of Science and Technology (HKUST). My supervisor is Prof. Qiang Yang. Before joining HKUST, I obtained the B.Eng degree from School of Data and Computer Science, Sun Yat-sen University (SYSU). [Github][Google Scholar][Resume (old)]

Research internship positions in Amazon Search (Base: Bay area) are available. Feel free to send your CV to me if you are interested.

Research interests

My current research is Low-Resource Natural Language Processing (LR-NLP), including cross-lingual/multilingual, cross-domain, and multi-task scenarios, etc. Revolving around this goal, I mainly study the following topics:

  • Machine Learning: transfer Learning, meta-learning, semi/weakly-supervised learning, multi-task learning, graph embedding.
  • Natural Language Processing: knowledge graph, information extraction, question answering, sentiment analysis.

Recently interesting topics: multilingual product knowledge graph, time-series graph mining, xmc: extreme multi-label classification, weakly-suprvised learning for NLP.

News

  • Apr 2022 - One long paper was accepted by NAACL-Finding 2022.
  • Feb 2022 - One long paper was accepted by ACL 2022.
  • Jan 2022 - One long paper was accepted by WWW 2022.
  • Jan 2022 - Invited to serve as Program Committee for ICML 2022.
  • Jan 2022 - Invited to serve as Program Committee for IJCAI 2022.
  • Nov 2021 - Invited to serve as Program Committee for KDD 2022.
  • Nov 2021 - Invited to serve as Reviewer for ACL 2022 Rolling review.
  • Aug 2021 - One long paper was accepted by EMNLP 2021.
  • Jun 2021 - Invited to serve as Program Committee for AAAI 2022.
  • Aug 2021 - One long paper was accepted by CIKM 2021 (Industry track).
  • Jun 2021 - Invited to serve as Program Committee for ICLR 2022.
  • April 2021 - Invited to serve as Program Committee for NeurIPS 2021.
  • Mar 2021 - Invited to serve as Program Committee for EMNLP 2021.

Experiences

  • Jan 2021-Present, Amazon Search (A9), Applied Scientist II, Bay Area, USA.
  • Jun 2020-Sep 2020, Google Research, Research intern, NLX Group, Mountain View, CA, USA.
  • Seq 2019-Dec 2019, Amazon Search (A9), Applied scientist intern, Search and NLP group, Palo, Alto, CA, USA. Research topic: Meta Learning, Cross-lingual transfer.
  • Jun 2016-Aug 2016, HKUST Fok Ying Tung Research, Research intern, Mentor, Prof. Qiang Yang
  • Jul 2015-Oct 2015, Microsoft Research Asia (MSRA), Research intern, Multimedia Search and Mining Group. Mentor: Dr. Tao Mei

Publications [Google Scholar]

(* denotes equal contributions, # denotes the corresponding author)

  • Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training [pdf][Code& Data coming soon]
          Yifan Gao, Qingyu Yin#, Zheng Li#, Rui Meng, Tong Zhao, Bing Yin, Irwin King, Michael Lyu (NAACL-Finding 2022, Long paper)

  • Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment [pdf][Code& Data coming soon]
          Zijie Huang, Zheng Li#, Haoming Jiang, Tianyu Cao, Hanqing Lu, Bing Yin, Karthik Subbian, Yizhou Sun, Wei Wang (ACL 2022, Long paper)

  • RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph [pdf][Code coming soon]
          Ruijie Wang, Zheng Li#, Danqing Zhang, Qingyu Yin, Tong Zhao, Bing Yin and Tarek Abdelzaher (WWW 2022, Long paper, Research track)

  • Meta Teacher Student Network for Multilingual Sequence Labeling with Minimal Supervision [pdf][code by request]
          Zheng Li, Danqing Zhang, Tianyu Cao, Yiwei Song, Bing Yin (EMNLP 2021, Long paper, poster)

  • QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction [pdf]
          Danqing Zhang*, Zheng Li*, Tianyu Cao, Chen Luo, Tony Wu, Hanqing Lu, Yiwei Song, Bing Yin, Tuo Zhao, Qiang Yang (CIKM 2021, Long paper, Applied science track.)
  • Learn to Cross-lingual Transfer with Meta Graph Learning Across Heterogeneous Languages [pdf]
          Zheng Li, Mukul Kumar, William Headden, Bing Yin, Ying Wei, Yu Zhang, Qiang Yang (EMNLP 2020, Long paper, oral)

  • Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning [pdf][slides][code]
          Zheng Li, Xin Li, Ying Wei, Lidong Bing, Yu Zhang, Qiang Yang (EMNLP 2019, Long paper, oral)

  • Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification [pdf][slides][data]
          Zheng Li, Ying Wei, Yu Zhang, Xiang Zhang, Xin Li, Qiang Yang (AAAI 2019, oral)

  • Hierarchical Attention Transfer Network for Cross-domain Sentiment Classification [pdf][slides][code][demo]
          Zheng Li, Ying Wei, Yu Zhang, Yuxiang Wu, Qiang Yang (AAAI 2018, oral)

  • End-to-End Adversarial Memory Network for Cross-domain Sentiment Classification [pdf][slides][code]
          Zheng Li, Yu Zhang, Ying Wei, Yuxiang Wu, Qiang Yang (IJCAI 2017, oral)

  • Compressive Perceptual Hashing Tracking [pdf]
          Zheng Li, Long Chen, Jian-Fei Yang, Neurocomputing 2017.

  • Online Visual Tracking via Correlation Filter with Convolutional Networks [pdf][slides][demo]
          Zheng Li, Jianfei Yang, Juan Zha, Chang-Dong Wang, Weishi Zheng (VCIP 2016, Oral).

  • Compressive Perceptual Hashing Tracking with Online foreground learning [pdf][slides][demo]
          Zheng Li, Jian-Fei Yang, Long Chen, Juan Zha (ROBIO 2015, Oral).

  • Robust Vehicle Tracking Using Perceptual Hashing Algorithm [pdf]
          Zheng Li, Jian-Fei Yang, Long Chen, Juan Zha (ICMLA 2015, Oral).

  • Long-Term Revenue Maximization Pricing Scheme for Cloud [pdf]
          Wen-Kai Huan, Chang-Dong Wang, Shao-Shu Huan, Zheng Li, Jian-Huang Lai, Ling Huang, (IJSSE journal 2015)

Projects

Mentership

  • Yujia Xie, Gatech Ph.D. student, topic: Extreme Multi-label Classification
  • Yifan Gao, CUHK Ph.D. student, topic: Multilingual Keyphrase Generation
  • Ruijie Wang, UIUC Ph.D. student, topic: Temporal Event Forecasting
  • Zijie Huang, UCLA Ph.D. student, topic: Multilingual KG completion
  • Xutan Peng, University of Sheffield, Ph.D. student, topic: Multilingual KG pretraining
  • Chen Liang, Gatech Ph.D. student, topic: Knowledge Distillation
  • Wei Jin, Michigan State University Ph.D. student, topic: Data Condensation

Professional Activities

  • Senior Program Committee: IJCAI (2021)
  • Program Committee (Reviewer):
    • ICLR, ICML, KDD, ACL, NAACL, AAAI, IJCAI (2022)
    • NeurIPS, ICLR, ACL, EMNLP, NAACL, AAAI, IJCAI (2021)
    • ACL, EMNLP, ICLR, AAAI, IJCAI (2020)
  • Conference Secondary Reviewer: AAAI, IJCAI (2019)
  • Journal Reviewer: PAMI, TBD, Neurocomputing

Honors & Awards

  • Nov 2018, Baidu PhD Fellowship Nomination Awards, about 20/5,000 applicants worldwide.
  • 2017-2019, AAAI19, AAAI18, IJCAI17 student travel awards
  • Jun 2016, Excellent Graduates Awards, Sun Yat-sen University
  • May 2016, Excellent Undergraduate Thesis Awards, Sun Yat-sen University
  • Sep 2015, “YongSheng Liu” Excellent Undergraduate Scholarship
  • Sep 2015, First-class Merit Scholarship, Sun Yat-sen University
  • Aug 2015, “HUAWEI” Cup China Intelligent Design Competition, Second Prize
  • Sep 2014, Second-class Merit Scholarship, Sun Yat-sen University
  • Sep 2013, Third-class Merit Scholarship, Sun Yat-sen University