About me

I am a Senior Applied Scientist from Amazon Search. Previously, I worked in search Query Understanding) team. 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]

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:

  • Natural Language Processing: LLM, knowledge graph, information extraction, question answering, sentiment analysis.

  • Machine Learning: transfer Learning, meta-learning, semi/weakly-supervised learning, multi-task learning, graph embedding.


  • Jan 2023 - We have four paper accepted by ACL 2023.
  • We have launched the Amazon KDD Cup’23 Competition, featuring a multilingual recommendation challenge. Feel free to submit your solutions and potentially win thousands of dollars!
  • Jan 2023 - One paper was accepted by WWW 2023.
  • Jan 2023 - One paper was accepted by ICLR 2023.
  • July 2022 - Invited to serve as Program Committee for KDD 2023.
  • Sep 2022 - One paper was accepted by EMNLP-Finding 2022.
  • Sep 2022 - One paper was accepted by NeurIPS 2022.
  • Sep 2022 - [WWW 2022] We released the [code] for sequential query and product joint recommendation.
  • Aug 2022 - [ACL 2022] We released the E-commerce Product KG [data] and [code] for multilingual KGC.
  • Aug 2022 - [KDD 2022] We released the [code] for graph condensation.
  • Aug 2022 - [NAACL 2022] We released the [academic] and the [e-commerce] multilingual keyphrase generation datasets, along with the [code].
  • July 2022 - Invited to serve as Senoir Program Committee (SPC) for AAAI 2023.


  • Jan 2021-Present, Amazon Search (A9), Senior Applied Scientist, 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, + denotes interns i mentored)

  • Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning [pdf][code]
          Ruijie Wang+, Zheng Li#, Jingfeng Yang, Tianyu Cao, Bing Yin, Tarek Abdelzaher (WWW 2023)

  • FolkScope: Intention Knowledge Graph Construction for E-commerce Commonsense Discovery [pdf][code]
          Changlong Yu+, Weiqi Zhang, Xin Liu+, Jiaxin Bai+, Yangqiu Song, Zheng Li, Yifan Gao, Tianyu Cao, Bing Yin, (ACL 2023)

  • SCOTT: Self-Consistent Chain-of-Thought Distillation [pdf][code]
          Peifeng Wang+, Zhengyang Wang, Zheng Li, Yifan Gao, Bing Yin, Xiang Ren (ACL 2023)

  • FOOT: Coarse-to-Fine Prompt-based Calibration Learning for Few-shot Novel Product Title Generation [pdf][code]
          Fenglin Liu+, Bang Yang, Qingyu Yin, Zheng Li, Chenyu You, Xuewei Ma, Bing Yin and Yuexian Zou (ACL 2023)

  • Graph Reasoning for Question Answering with Triplet Retrieval [pdf][code]
          Shiyang Li+, Yifan Gao, Haoming Jiang, Qingyu Yin, Zheng Li, Xifeng Yan, Chao Zhang and Bing Yin (ACL 2023)

  • HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers [pdf][code]
          Chen Liang+, Haoming Jiang, Zheng Li, Xianfeng Tang, Bing Yin, Tuo Zhao (ICLR 2023)

  • Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graph [pdf][code]
          Ruijie Wang+, Zheng Li#, Dachun Sun, Shengzhong Liu, Jinning Li, Bing Yin, Tarek Abdelzaher (NeurIPS 2022)

  • Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment [pdf][code][data][media]
          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]
          Ruijie Wang+, Zheng Li#, Danqing Zhang, Qingyu Yin, Tong Zhao, Bing Yin and Tarek Abdelzaher (WWW 2022, Long paper, Research track)
  • Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering [pdf][code]
          Juan Zha*, Zheng Li*, Ying Wei and Yu Zhang (EMNLP-Finding 2022, Long paper)

  • Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training [pdf][code][academic data][e-commerce data]
          Yifan Gao+, Qingyu Yin#, Zheng Li#, Rui Meng, Tong Zhao, Bing Yin, Irwin King, Michael Lyu (NAACL-Finding 2022, Long paper)

  • Condensing Graphs via One-Step Gradient Matching [pdf][code]
          Wei Jin+, Xianfeng Tang, Haoming Jiang, Zheng Li, Danqing Zhang, Jiliang Tang, Bin Yin (KDD 2022, Long paper, Research Track)
  • Query Attribute Recommendation at Amazon Search [pdf]
          Chen Luo, William Headean, Neela Avudaiappan, Haoming Jiang, Tianyu Cao, Qingyu Yin, Yifan Gao, Zheng Li, Rahul Goutam, Haiyang Zhang, Bing Yin (RecSys 2022, Industry Track)
  • Meta Teacher Student Network for Multilingual Sequence Labeling with Minimal Supervision [pdf][code]
          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)



  • Ruijie Wang, UIUC Ph.D. student, topic: Temporal Event Forecasting. Achievement: NeurIPS 2022, WWW 2022, WWW 2023
  • Zijie Huang, UCLA Ph.D. student, topic: Multilingual KG completion. Achievement: ACL 2022.
  • Yifan Gao, CUHK Ph.D. student, topic: Multilingual Keyphrase Generation. Achievement: NAACL 2022 Finding. Now: Applied Scientist, Amazon
  • Wei Jin, Michigan State University Ph.D. student, topic: Data Condensation. Achievement: KDD 2022.
  • Chen Liang, Gatech Ph.D. student, topic: Knowledge Distillation. Achievement: ICLR 2023
  • Changlong Yu, HKUST, Ph.D. student. Achievement: ACL 2023.
  • Peifeng Wang, USC, Ph.D. student. Achievement: ACL 2023.
  • Fenglin Liu, Oxford, Ph.D. student. Achievement: ACL 2023.
  • Shiyang Li, UCSB, Ph.D. student. Achievement: ACL 2023.
  • Yujia Xie, Gatech Ph.D. student, topic: Extreme Multi-label Classification. Now: Senior Researcher, Microsoft
  • Xutan Peng, University of Sheffield, Ph.D. student, topic: Multilingual KG pretraining
  • Xin Liu, HKUST, Ph.D. student
  • Jiaxin Bai, HKUST, Ph.D. student
  • Jie Huang, UIUC, Ph.D. student
  • Qi Zeng, UIUC, Ph.D. student
  • Hui Liu, Queen’s University, Ph.D. student
  • Enyan Dai, Penn State University, Ph.D. student

Professional Activities

  • Senior Program Committee (Meta-Reviewer): AAAI (2022), IJCAI (2021)
  • Program Committee (Reviewer):
    • 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