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Ming Jin

Ming Jin has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining, Question answering, Reasoning; often with Qi He, Qingsong Wen, Shiyu Wang.

2 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 16 · 57 works · 2,532 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 38 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #8822

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

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

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement (2025 · 21 citations)
    Most time series research targets one numerical task at a time, such as forecasting or anomaly detection. There is also little data that pairs natural language with time series, which holds back models able to discuss and reason about temporal data. The authors propose Time-MQA, a framework that treats several time…
  2. STReasoner: Empowering LLMs for Spatio-Temporal Reasoning in Time Series via Spatial-Aware Reinforcement Learning (2026 · 3 citations)
    LLMs are increasingly applied to time-series domains. Yet settings such as traffic networks, power grids or epidemic spread need more than point forecasts. Decision-makers want to know the cause, location and timing of events, which means linking signals across graph-connected nodes while accounting for propagation…

All works

4 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. Foundation Models for Time Series Analysis: A Tutorial and Survey ↗ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · no summary yetYuxuan Liang et al.2024 · 235 citations
  2. Position: What Can Large Language Models Tell Us about Time Series Analysis ↗arXiv:2402.02713 · no summary yetMing Jin et al.2024 · 31 citations

 Co-authors here

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

Venues

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

 Cited by

Papers of our library cite their works 38 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

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