---
title: "Jieping Ye · Alibaba Group — author profile and papers"
description: "Jieping Ye, Alibaba Group: 3 papers on Elamur Research (2025–2026), h-index 103 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/jieping-ye/"
---
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# Jieping Ye

Jieping Ye has 3 papers in our library, in 2025–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Chen Shen](https://md.research.elamur.ai/free/en/authors/chen-shen/), [Shaotian Yan](https://md.research.elamur.ai/free/en/authors/shaotian-yan/), [Xiaosong Yuan](https://md.research.elamur.ai/free/en/authors/xiaosong-yuan/).

3 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5010419481) · [ORCID](https://orcid.org/0000-0001-8662-5818) · [Wikidata](https://www.wikidata.org/wiki/Q131013137) · [**h-index 103**](https://openalex.org/authors/A5010419481) · [633 works](https://openalex.org/works?filter=author.id:A5010419481) · [40,498 citations](https://openalex.org/works?filter=author.id:A5010419481&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/jieping-ye/#papers) · [🔗 Cited 143 times in our library](https://md.research.elamur.ai/free/en/authors/jieping-ye/cited-by/) · [11 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #8613](https://md.research.elamur.ai/free/en/paper-stars/page/87/#star-8613)

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=Jieping+Ye) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jieping+Ye) · [dblp](https://dblp.org/search?q=Jieping+Ye) · [ACL Anthology](https://aclanthology.org/search/?q=Jieping+Ye)

## Affiliations

[🏢**Alibaba Group** Hangzhou · China 2022–2026 · 67 papersEmployment since 2022*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🏢**Alibaba Group** San Mateo · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group-united-states/) · [🎓**Arizona State University** Tempe · United States 2005–2021 · 197 papersEmployment 2005–2014](https://md.research.elamur.ai/free/en/universities/arizona-state-university/) · [🎓**University of Michigan** Ann Arbor · United States 2014–2025 · 148 papersEmployment 2015–2022](https://md.research.elamur.ai/free/en/universities/university-of-michigan/) · [🏢**Didi Chuxing** Beijing 2017–2023 · 80 papers](https://ror.org/02ksqcf75) · [🎓**University of Minnesota** Minneapolis · United States 2001–2005 · 18 papersEducation 2001–2005 · Ph.D](https://md.research.elamur.ai/free/en/universities/university-of-minnesota/) · [🏢**Alibaba DAMO Academy** Hangzhou · China 2023–2025 · 9 papers](https://md.research.elamur.ai/free/en/companies/alibaba-damo-academy/) · [🔬**Zhejiang Lab** Hangzhou · China 2025 · 4 papers](https://md.research.elamur.ai/free/en/labs/zhejiang-lab/) · [🎓**King Abdulaziz University** Jeddah · Saudi Arabia 2013–2014 · 2 papers](https://md.research.elamur.ai/free/en/universities/king-abdulaziz-university/) · [🎓**National University of Singapore** Singapore · Singapore 1997–2000 · 2 papersEducation 1997–1999 · M.Sc.](https://md.research.elamur.ai/free/en/universities/national-university-of-singapore/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 20 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.

📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 2 Research subjects and languages the work is about.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/jieping-ye/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/jieping-ye/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Shallow Focus, Deep Fixes: Enhancing Shallow Layers Vision Attention Sinks to Alleviate Hallucination in LVLMs](https://md.research.elamur.ai/free/en/papers/zhang-2025-shallow-focus-deep-fixes-enhancing/)** *(2025 · 14 citations)* The paper investigates why large vision-language models (LVLMs) hallucinate, focusing on attention over image tokens, which make up most of the input.
2. **[From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks](https://md.research.elamur.ai/free/en/papers/zhang-2025-redundancy-relevance-information-flow-lvlms/)** *(2025 · 12 citations)* Large vision-language models (LVLMs) turn each image into hundreds of tokens before passing it to an LLM. How those visual tokens actually shape the generated answer has been unclear. The authors study this "information flow", meaning how strongly system, image and user-prompt tokens influence answer tokens, layer by…
3. **[On the Step Length Confounding in LLM Reasoning Data Selection](https://md.research.elamur.ai/free/en/papers/wang-2026-step-length-confounding-llm-reasoning/)** *(2026 · 1 citation)* The paper looks at naturalness-based selection of supervised fine-tuning data for long chain-of-thought reasoning.

## All works

14 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. **[Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting ↗](https://doi.org/10.1609/aaai.v33i01.33013656) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Geng Fu Xu et al.*2019 · 845 citations*
2. **[An accelerated gradient method for trace norm minimization ↗](https://doi.org/10.1145/1553374.1553434) International Conference on Machine Learning · no summary yet**Shuiwang Ji, Jieping Ye*2009 · 517 citations*
3. **[An Attention-Based Graph Neural Network for Heterogeneous Structural Learning ↗](https://doi.org/10.1609/aaai.v34i04.5833) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Huiting Hong et al.*2020 · 247 citations*
4. **[AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates ↗](https://doi.org/10.1609/aaai.v34i04.5924) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Ning Liu et al.*2020 · 211 citations*
5. **[A convex formulation for learning shared structures from multiple tasks ↗](https://doi.org/10.1145/1553374.1553392) International Conference on Machine Learning · no summary yet**Jianhui Chen et al.*2009 · 197 citations*
6. **[Efficient Euclidean projections in linear time ↗](https://doi.org/10.1145/1553374.1553459) International Conference on Machine Learning · no summary yet**Jun Liu, Jieping Ye*2009 · 154 citations*
7. **[INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection ↗](https://arxiv.org/abs/2402.03744) arXiv:2402.03744 · no summary yet**Chao Chen et al.*2024 · 108 citations*
8. **[Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data ↗](https://openalex.org/W2138382427) neural information processing systems · no summary yet**Shuai Huang et al.*2009 · 77 citations*
9. **[Active Batch Selection via Convex Relaxations with Guaranteed Solution Bounds ↗](https://doi.org/10.1109/tpami.2015.2389848) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**Shayok Chakraborty et al.*2015 · 73 citations*
10. **[Non-monotonic feature selection ↗](https://doi.org/10.1145/1553374.1553520) International Conference on Machine Learning · no summary yet**Zenglin Xu et al.*2009 · 65 citations*
11. **[Null space versus orthogonal linear discriminant analysis ↗](https://doi.org/10.1145/1143844.1143979) International Conference on Machine Learning · no summary yet**Jieping Ye, Tao Xiong*2006 · 65 citations*
12. **[Shallow Focus, Deep Fixes: Enhancing Shallow Layers Vision Attention Sinks to Alleviate Hallucination in LVLMs](https://md.research.elamur.ai/free/en/papers/zhang-2025-shallow-focus-deep-fixes-enhancing/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xiaofeng Zhang, Yihao Quan, Chen Shen, et al.*2025 · 14 citations*
13. **[From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks](https://md.research.elamur.ai/free/en/papers/zhang-2025-redundancy-relevance-information-flow-lvlms/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Xiaofeng Zhang, Yihao Quan, Chen Shen, et al.*2025 · 12 citations*
14. **[On the Step Length Confounding in LLM Reasoning Data Selection](https://md.research.elamur.ai/free/en/papers/wang-2026-step-length-confounding-llm-reasoning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Bing Wang, Rui Miao, Chen Shen, et al.*2026 · 1 citation*

## Co-authors here

12 of 13 co-authors with a page, the most papers together first.

- [Chen Shen](https://md.research.elamur.ai/free/en/authors/chen-shen/) ×3
- [Shaotian Yan](https://md.research.elamur.ai/free/en/authors/shaotian-yan/) ×3
- [Xiaosong Yuan](https://md.research.elamur.ai/free/en/authors/xiaosong-yuan/) ×3
- [Chaochen Gu](https://md.research.elamur.ai/free/en/authors/chaochen-gu/) ×2
- [Xiaofeng Zhang](https://md.research.elamur.ai/free/en/authors/xiaofeng-zhang/) ×2
- [Yihao Quan](https://md.research.elamur.ai/free/en/authors/yihao-quan/) ×2
- [Bing Wang](https://md.research.elamur.ai/free/en/authors/bing-wang/)
- [Hao Cheng](https://md.research.elamur.ai/free/en/authors/hao-cheng/)
- [Hao Tang](https://md.research.elamur.ai/free/en/authors/hao-tang/)
- [Jun Zhang](https://md.research.elamur.ai/free/en/authors/jun-zhang/)
- [Rui Miao](https://md.research.elamur.ai/free/en/authors/rui-miao/)
- [Wenxiao Wang](https://md.research.elamur.ai/free/en/authors/wenxiao-wang/)

## Venues

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

- International Conference on Machine Learning ×5
- Proceedings of the AAAI Conference on Artificial Intelligence ×3
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)
- [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2025](https://md.research.elamur.ai/free/en/venues/naacl/2025/)
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- neural information processing systems

## Cited by

Papers of our library cite their works 143 times (of the 149,439 papers whose bibliographies we read); [39 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jieping-ye/cited-by/).

Updated 31 October 2026
