🧑‍🔬 Xingjian Shi

🏛️ Affiliations

🏢OpenAISan Francisco · United States2025 · 1 papercurrent🎓China Agricultural UniversityBeijing · Chinacurrent🔬Guangxi Academy of Special CropsGuilin · Chinacurrent🔬Innovation Academy for Microsatellites of Chinese Academy of SciencesShanghaicurrent🎓Nanjing Forestry UniversityNanjing · Chinacurrent🎓University of Chinese Academy of SciencesBeijing · Chinacurrent🏢AmazonSeattle · United States2019–2023 · 15 papers🎓Hong Kong University of Science and TechnologyHong Kong · China2014–2022 · 14 papersEducation🎓Shanghai Jiao Tong UniversityShanghai · China2014 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. Dynamic Key-Value Memory Networks for Knowledge Tracing (2017 · 886 citations)
   The paper addresses knowledge tracing (KT): estimating how well a learner understands each underlying concept from their history of attempted exercises and whether each answer was right, then predicting success on the next exercise.
2. Parameter-Efficient Fine-Tuning Design Spaces (2023 · 47 citations)
   Existing parameter-efficient fine-tuning (PEFT) techniques such as Adapter, Prefix tuning, BitFit and LoRA were each designed by hand and usually applied identically to every layer.

All works

8 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting ↗arXiv (Cornell University) · no summary yetXingjian Shi et al.2015 · 6,787 citations
2. Dynamic Key-Value Memory Networks for Knowledge TracingInternational World Wide Web Conference (WWW)Jiani Zhang, Xingjian Shi, Irwin King, et al.2017 · 886 citations
3. STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems ↗International Joint Conference on Artificial Intelligence · no summary yetJiani Zhang et al.2019 · 261 citations
4. Relational Stacked Denoising Autoencoder for Tag Recommendation ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetHao Wang, Xingjian Shi, Dit‐Yan Yeung2015 · 123 citations
5. Symbolic Music Generation with Transformer-GANs ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetAashiq Muhamed et al.2021 · 66 citations
6. Relational Deep Learning: A Deep Latent Variable Model for Link Prediction ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetHao Wang, Xingjian Shi, Dit‐Yan Yeung2017 · 60 citations
7. Earthformer: Exploring Space-Time Transformers for Earth System Forecasting ↗neural information processing systems · no summary yetZhihan Gao et al.2022 · 54 citations
8. Parameter-Efficient Fine-Tuning Design SpacesarXiv:2301.01821Jiaao Chen, Aston Zhang, Xingjian Shi, et al.2023 · 47 citations

🤝 Co-authors here

8 co-authors with a page, the most papers together first.

• Alex J. Smola
• Aston Zhang
• Dit-Yan Yeung
• Diyi Yang
• Irwin King
• Jiaao Chen
• Jiani Zhang
• Mu Li

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Proceedings of the AAAI Conference on Artificial Intelligence ×3
• International World Wide Web Conference (WWW): WWW 2017
• International Joint Conference on Artificial Intelligence
• neural information processing systems

🔗 Cited by

Papers of our library cite their works 150 times (of the 149,439 papers whose bibliographies we read); 19 citing papers with a page here →.

Updated 3 November 2026

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