--- title: "James Y. Zhang — author profile and papers in our library" description: "James Y. Zhang: 2 papers on Elamur Research (2023), h-index 1 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/james-y-zhang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/james-y-zhang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / James Y. Zhang # James Y. Zhang James Y. Zhang has 2 papers in our library, in 2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Xiaoming Shi](https://md.research.elamur.ai/free/en/authors/xiaoming-shi/), [Chenhao Tan](https://md.research.elamur.ai/free/en/authors/chenhao-tan/), [Fan Zhou](https://md.research.elamur.ai/free/en/authors/fan-zhou/). 2 papers in our library · 2023 [OpenAlex](https://openalex.org/A5146643272) · [**h-index 1**](https://openalex.org/authors/A5146643272) · [1 works](https://openalex.org/works?filter=author.id:A5146643272) · [20 citations](https://openalex.org/works?filter=author.id:A5146643272&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/james-y-zhang/#papers) · [🔗 Cited 101 times in our library](https://md.research.elamur.ai/free/en/authors/james-y-zhang/cited-by/) · [⭐ Paper Stars ranking: #7555](https://md.research.elamur.ai/free/en/paper-stars/page/76/#star-7555) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=James+Y.+Zhang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=James+Y.+Zhang) · [dblp](https://dblp.org/search?q=James+Y.+Zhang) · [ACL Anthology](https://aclanthology.org/search/?q=James+Y.+Zhang) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/james-y-zhang/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Time-LLM: Time Series Forecasting by Reprogramming Large Language Models](https://md.research.elamur.ai/free/en/papers/jin-2023-time-llm-time-series-forecasting/)** *(2023 · 77 citations)* Forecasting models for time series are usually built for a single task or domain. Pre-trained foundation models for this data type are scarce because large training collections are lacking. Time-LLM tackles this by adapting an existing large language model to forecasting while leaving all of its weights frozen. 2. **[Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning](https://md.research.elamur.ai/free/en/papers/shi-2023-language-models-improve-event-prediction/)** *(2023 · 44 citations)* The paper asks whether large language models can help forecast real-world events in time-stamped sequences, such as political interactions between G20 entities, where each event carries text like a news headline. ## Co-authors here 12 of 15 co-authors with a page, the most papers together first. - [Xiaoming Shi](https://md.research.elamur.ai/free/en/authors/xiaoming-shi/) ×2 - [Chenhao Tan](https://md.research.elamur.ai/free/en/authors/chenhao-tan/) - [Fan Zhou](https://md.research.elamur.ai/free/en/authors/fan-zhou/) - [Hongyuan Mei](https://md.research.elamur.ai/free/en/authors/hongyuan-mei/) - [Jun Zhou](https://md.research.elamur.ai/free/en/authors/jun-zhou/) - [Kangrui Wang](https://md.research.elamur.ai/free/en/authors/kangrui-wang/) - [Lintao Ma](https://md.research.elamur.ai/free/en/authors/lintao-ma/) - [Ming Jin](https://md.research.elamur.ai/free/en/authors/ming-jin/) - [Pin-Yu Chen](https://md.research.elamur.ai/free/en/authors/pin-yu-chen/) - [Qingsong Wen](https://md.research.elamur.ai/free/en/authors/qingsong-wen/) - [Shirui Pan](https://md.research.elamur.ai/free/en/authors/shirui-pan/) - [Shiyu Wang](https://md.research.elamur.ai/free/en/authors/shiyu-wang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2023](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/) ## Cited by Papers of our library cite their works 101 times (of the 149,439 papers whose bibliographies we read); [12 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/james-y-zhang/cited-by/). Updated 2 November 2026