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Dacheng Tao

15 papers here

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

author position
  • middle author3
  • last author9

Across the 12 of 15 papers where every author was matched, so the position is known.

fields
  • cs.CV7
  • cs.LG6
  • cs.CR1
  • stat.ML1
ORCID 0000-0001-7225-5449
same name
  • Dacheng Tao — 119 papers, h 38
  • Dacheng Tao — 86 papers, h 44
  • Dacheng Tao — 46 papers, h 30
  • Dacheng Tao — 37 papers, h 15
  • Dacheng Tao — 32 papers, h 24
  • Dacheng Tao — 23 papers, h 2

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
20142025
most citedClassification with Noisy Labels by Importance Reweighting

813 citations · 866 across the 15 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CV2025

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering

Yu Zhao, Ying Zhang, Xuhui Sui +4

Knowledge-based Visual Question Answering (KBVQA) necessitates external knowledge incorporation beyond cross-modal understanding. Existing KBVQA methods either utilize implicit kno…

cs.LG2025

CertDW: Towards Certified Dataset Ownership Verification via Conformal Calibration

Ting Qiao, Yiming Li, Jianbin Li +5

Deep neural networks (DNNs) rely heavily on high-quality open-source datasets (e.g., ImageNet) for their success, making dataset ownership verification (DOV) crucial for protecting…

cs.LG2025

Adaptively Point-weighting Curriculum Learning

Wensheng Li, Yichao Tian, Hao Wang +4

Curriculum learning (CL) mimics human learning, in which easy samples are learned first, followed by harder samples, and has become an effective method for training deep networks.…

cs.CR2025

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment

Kun Wang, Guibin Zhang, Zhenhong Zhou +100

The remarkable success of Large Language Models (LLMs) has illuminated a promising pathway toward achieving Artificial General Intelligence for both academic and industrial communi…

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