🧑‍🔬 Jieping Ye

🏛️ Affiliations

🏢Alibaba GroupHangzhou · China2022–2026 · 67 papersEmployment since 2022current🏢Alibaba GroupSan Mateo · United States2026 · 1 papercurrent🎓Arizona State UniversityTempe · United States2005–2021 · 197 papersEmployment 2005–2014🎓University of MichiganAnn Arbor · United States2014–2025 · 148 papersEmployment 2015–2022🏢Didi ChuxingBeijing2017–2023 · 80 papers🎓University of MinnesotaMinneapolis · United States2001–2005 · 18 papersEducation 2001–2005 · Ph.D🏢Alibaba DAMO AcademyHangzhou · China2023–2025 · 9 papers🔬Zhejiang LabHangzhou · China2025 · 4 papers🎓King Abdulaziz UniversityJeddah · Saudi Arabia2013–2014 · 2 papers🎓National University of SingaporeSingapore · Singapore1997–2000 · 2 papersEducation 1997–1999 · M.Sc.

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.

📅 Works by year

2020s

📄 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 (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 (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 (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 ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetGeng Fu Xu et al.2019 · 845 citations
2. An accelerated gradient method for trace norm minimization ↗International Conference on Machine Learning · no summary yetShuiwang Ji, Jieping Ye2009 · 517 citations
3. An Attention-Based Graph Neural Network for Heterogeneous Structural Learning ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetHuiting Hong et al.2020 · 247 citations
4. AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetNing Liu et al.2020 · 211 citations
5. A convex formulation for learning shared structures from multiple tasks ↗International Conference on Machine Learning · no summary yetJianhui Chen et al.2009 · 197 citations
6. Efficient Euclidean projections in linear time ↗International Conference on Machine Learning · no summary yetJun Liu, Jieping Ye2009 · 154 citations
7. INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection ↗arXiv:2402.03744 · no summary yetChao Chen et al.2024 · 108 citations
8. Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data ↗neural information processing systems · no summary yetShuai Huang et al.2009 · 77 citations
9. Active Batch Selection via Convex Relaxations with Guaranteed Solution Bounds ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetShayok Chakraborty et al.2015 · 73 citations
10. Non-monotonic feature selection ↗International Conference on Machine Learning · no summary yetZenglin Xu et al.2009 · 65 citations
11. Null space versus orthogonal linear discriminant analysis ↗International Conference on Machine Learning · no summary yetJieping Ye, Tao Xiong2006 · 65 citations
12. Shallow Focus, Deep Fixes: Enhancing Shallow Layers Vision Attention Sinks to Alleviate Hallucination in LVLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Xiaofeng Zhang, Yihao Quan, Chen Shen, et al.2025 · 14 citations
13. From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning TasksConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Xiaofeng Zhang, Yihao Quan, Chen Shen, et al.2025 · 12 citations
14. On the Step Length Confounding in LLM Reasoning Data SelectionFindings of the Association for Computational LinguisticsBing 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 ×3
• Shaotian Yan ×3
• Xiaosong Yuan ×3
• Chaochen Gu ×2
• Xiaofeng Zhang ×2
• Yihao Quan ×2
• Bing Wang
• Hao Cheng
• Hao Tang
• Jun Zhang
• Rui Miao
• 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): EMNLP 2025
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
• Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): 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 →.

Updated 31 October 2026

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