Scholar
Yun He
Google Scholar ID: gnDm-TIAAAAJ
Research Scientist at Meta
Citations & Impact
Citations
1,141
H-index
15
i10-index
15
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- - Publications:
- - PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts, ACL 2023
- - HyperPrompt: Prompt-based Task-Conditioning of Transformers, ICML 2022
- - MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks, WWW 2022
- - Popularity Bias in Dynamic Recommendation, KDD 2021
- - Vibe Check: Social Resonance Learning for Enhanced Recommendation, ASONAM 2021
- - Popularity-Opportunity Bias in Collaborative Filtering, WSDM 2021
- - Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition, EMNLP 2020
- - PARADE: A New Dataset for Paraphrase Identification Requiring Computer Science Domain Knowledge, EMNLP 2020
- - Awards:
- - 1st place in Clinical Decision Support Track Task B, Text Retrieval Conference (TREC’2015)
- - 1st place in CLEF eHealth Task2, Conference and Labs of the Evaluation Forum (CLEF’2015)
Research Experience
- - Senior Research Scientist at Meta (Aug 2023 – Present), Research Project: Chatbot System
- - Research Scientist at Meta (July 2022 – July 2024), Research Project: Recommender System
- - Research Intern at Google Brain (September 2021 – December 2021), Mentors: Dr. Huaixiu Zheng and Dr. Yi Tay, Research Project: A novel prompt-tuning method for transformer-based multi-task co-training
- - Research Intern at Facebook (May 2021 – August 2021), Mentor: Dr. Xinyi Zhang, Research Project: User history modeling for recommender system
- - Research Intern at Facebook (June 2020 – September 2020), Mentor: Dr. Xue Feng, Research Project: Automatic balancing multiple training loss terms to improve multi-task learning-based recommender system
- - Research Assistant at Texas A&M University (Fall 2017 – present), Advisor: Dr. James Caverlee, Research Interests: Natural Language Processing and Recommender System
- - Research experience at East China Normal University (2014 – 2017), Advisors: Dr. Qinmin Hu and Dr. Liang He, Research Interests: Information Retrieval in Biomedical Domain
Education
- - Bachelor's degree: Donghua University
- - Graduate studies: Texas A&M University, Computer Science & Engineering Department, Advisor: Prof. James Caverlee
- - East China Normal University, School of Computer Science and Software Engineering, Advisors: Dr. Qinmin Hu and Dr. Liang He
Background
- Natural language processing, recommender system. Currently a Senior Research Scientist at Meta.
Miscellany
- Email: heyunyun2014 'at' gmail.com
Co-authors