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Zhiwei Li

5 papers hereh-index 214 citations7 works total

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

author position
  • first author2
  • middle author3

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.CL1
same name
  • Zhiwei Li — 14 papers, h 6
  • Zhiwei Li — 12 papers, h 9
  • Zhiwei Li — 8 papers, h 14
  • Zhiwei Li — 6 papers, h 5
  • Zhiwei Li — 5 papers, h 17
  • Zhiwei Li — 5 papers, h 9

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

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

IV-CoT: Implicit Visual Chain-of-Thought for Structure-Aware Text-to-Image Generation

Zixuan Li, Haokun Lin, Yicheng Xiao +10

Unified multi-modal large language models (MLLMs) have achieved strong text-to-image generation quality, but still struggle with structure-aware prompt following, where object coun…

cs.CV2026

AGC: Adaptive Geodesic Correction for Adversarial Robustness on Vision-Language Models

Zhiwei Li, Jiacheng Xue, Weining Wang +4

Vision-language models like CLIP have demonstrated remarkable zero-shot transfer capabilities. However, their susceptibility to imperceptible adversarial perturbations remains a cr…

cs.CV2025

3SGen: Unified Subject, Style, and Structure-Driven Image Generation with Adaptive Task-specific Memory

Xinyang Song, Libin Wang, Weining Wang +6

Recent image generation approaches often address subject, style, and structure-driven conditioning in isolation, leading to feature entanglement and limited task transferability. I…

cs.CV2025

TTP: Test-Time Padding for Adversarial Detection and Robust Adaptation on Vision-Language Models

Zhiwei Li, Yitian Pang, Weining Wang +2

Vision-Language Models (VLMs), such as CLIP, have achieved impressive zero-shot recognition performance but remain highly susceptible to adversarial perturbations, posing significa…

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