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Tianyi Bai

10 papers hereh-index 6230 citations12 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author8

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • cs.LG3
  • cs.AI1
same name
  • Tianyi Bai — 18 papers, h 8
  • Tianyi Bai — 8 papers, h 5
  • Tianyi Bai — 3 papers, h 3
  • Tianyi Bai — 3 papers, h 1
  • Tianyi Bai — 2 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedTransfer Learning for Bayesian Optimization: A Survey

19 citations · 33 across the 10 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CV2026

OpenWorldLib: A Unified Codebase and Definition of Advanced World Models

DataFlow Team, Bohan Zeng, Daili Hua +39

World models have garnered significant attention as a promising research direction in artificial intelligence, yet a clear and unified definition remains lacking. In this paper, we…

cs.CV2026

TAG: Thinking with Action Unit Grounding for Facial Expression Recognition

Haobo Lin, Tianyi Bai, Jiajun Zhang +5

Facial Expression Recognition (FER) is a fine-grained visual understanding task where reliable predictions require reasoning over localized and meaningful facial cues. Recent visio…

cs.CV2026

Synthesizing Multimodal Geometry Datasets from Scratch and Enabling Visual Alignment via Plotting Code

Haobo Lin, Tianyi Bai, Chen Chen +4

Multimodal geometry reasoning requires models to jointly understand visual diagrams and perform structured symbolic inference, yet current vision--language models struggle with com…

cs.CV2026

Research on World Models Is Not Merely Injecting World Knowledge into Specific Tasks

Bohan Zeng, Kaixin Zhu, Daili Hua +24

World models have emerged as a critical frontier in AI research, aiming to enhance large models by infusing them with physical dynamics and world knowledge. The core objective is t…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.