🧑‍🔬 Yihao Feng

🏛️ Affiliations

🏢AppleCupertino · United States2026 · 1 papercurrent🎓Shandong University of TechnologyZibo · China2026 · 1 papercurrent🎓Sichuan UniversityChengdu · China2026 · 1 papercurrent🎓The University of Texas at AustinAustin · United States2018–2025 · 16 papers🏢SalesforceSan Francisco · United States2022–2025 · 14 papers🎓Dartmouth CollegeHanover · United States2016–2017 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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. xLAM: A Family of Large Action Models to Empower AI Agent Systems (2025 · 68 citations)
   Open-source LLMs lag behind proprietary systems on agent tasks such as tool use. A major cause is that public agent datasets are scarce, inconsistent in format, homogeneous in content, and often noisy, with problems like hallucinated actions or repeated turns. The authors (Salesforce AI) release xLAM, a family of…
2. Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward (2025 · 32 citations)
   Preference optimization methods like DPO help align language models, but they are hard to use for video LMMs.

All works

7 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. LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning ↗neural information processing systems · no summary yetBo Liu et al.2023 · 235 citations
2. HIVE: Harnessing Human Feedback for Instructional Visual Editing ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetShu Zhang et al.2024 · 74 citations
3. xLAM: A Family of Large Action Models to Empower AI Agent SystemsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jianguo Zhang, Tian Lan, Ming Zhu, et al.2025 · 68 citations
4. BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents ↗arXiv:2308.05960 · no summary yetZhiwei Liu et al.2023 · 51 citations
5. UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild ↗arXiv (Cornell University) · no summary yetCan Qin et al.2023 · 36 citations
6. Direct Preference Optimization of Video Large Multimodal Models from Language Model RewardConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Ruohong Zhang, Liangke Gui, Zhiqing Sun, et al.2025 · 32 citations
7. Longhorn: State Space Models are Amortized Online Learners ↗arXiv:2407.14207 · no summary yetBo Liu et al.2024 · 11 citations

🤝 Co-authors here

12 of 17 co-authors with a page, the most papers together first.

• Alexander G. Hauptmann
• Chunyuan Li
• Jianguo Zhang
• Juan Carlos Niebles
• Juntao Tan
• Ming Zhu
• Ruohong Zhang
• Shelby Heinecke
• Thai Hoang
• Tian Lan
• Weiran Yao
• Yiming Yang

Venues

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

• Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) ×2: NAACL 2025 ×2
• IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
• neural information processing systems

🔗 Cited by

Papers of our library cite their works 275 times (of the 149,439 papers whose bibliographies we read); 39 citing papers with a page here →.

Updated 30 October 2026

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