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Zifeng Ding

19 papers hereh-index 14746 citations30 works total

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

author position
  • first author5
  • middle author10

Across the 15 of 19 papers where every author was matched, so the position is known.

fields
  • cs.LG9
  • cs.AI4
  • cs.CL4
  • cs.CV2
same name
  • Zifeng Ding — 12 papers, h 2
  • Zifeng Ding — 6 papers, h 4
  • Zifeng Ding — 2 papers, h 2
  • Zifeng Ding — 1 paper, 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
20212026
most citedTemporal Knowledge Graph Forecasting with Neural ODE

22 citations · 41 across the 19 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.LG2024

PERFT: Parameter-Efficient Routed Fine-Tuning for Mixture-of-Expert Model

Yilun Liu, Yunpu Ma, Shuo Chen +4

The Mixture-of-Experts (MoE) paradigm has emerged as a powerful approach for scaling transformers with improved resource utilization. However, efficiently fine-tuning MoE models re…

cs.LG2024

DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models

Zifeng Ding, Yifeng Li, Yuan He +5

Learning useful representations for continuous-time dynamic graphs (CTDGs) is challenging, due to the concurrent need to span long node interaction histories and grasp nuanced temp…

cs.LG2024

Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks?

Shuo Chen, Zhen Han, Bailan He +5

Various jailbreak attacks have been proposed to red-team Large Language Models (LLMs) and revealed the vulnerable safeguards of LLMs. Besides, some methods are not limited to the t…

cs.CV2024

Stop Reasoning! When Multimodal LLM with Chain-of-Thought Reasoning Meets Adversarial Image

Zefeng Wang, Zhen Han, Shuo Chen +6

Multimodal LLMs (MLLMs) with a great ability of text and image understanding have received great attention. To achieve better reasoning with MLLMs, Chain-of-Thought (CoT) reasoning…

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