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researcher

L. Wen

4 papers hereh-index 361 citations5 works total

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

author position
  • middle author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.CL1
  • cs.RO1
same name
  • L. Wen — 97 papers, h 41
  • L. Wen — 86 papers, h 41
  • L. Wen — 70 papers
  • L. Wen — 61 papers, h 57
  • L. Wen — 27 papers, h 18
  • L. Wen — 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
20212025
most citedAnomaly Crossing: New Horizons for Video Anomaly Detection as Cross-domain Few-shot Learning

3 citations · 4 across the 4 of their papers we have counts for

collaborators

4 papers

cs.RO2025

ACTLLM: Action Consistency Tuned Large Language Model

Jing Bi, Lianggong Bruce Wen, Zhang Liu +1

This paper introduces ACTLLM (Action Consistency Tuned Large Language Model), a novel approach for robot manipulation in dynamic environments. Traditional vision-based systems ofte…

cs.CL2025

Why Reasoning Matters? A Survey of Advancements in Multimodal Reasoning (v1)

Jing Bi, Susan Liang, Xiaofei Zhou +16

Reasoning is central to human intelligence, enabling structured problem-solving across diverse tasks. Recent advances in large language models (LLMs) have greatly enhanced their re…

cs.CV2024★ 1 cited

Unveiling Visual Perception in Language Models: An Attention Head Analysis Approach

Jing Bi, Junjia Guo, Yunlong Tang +3

Recent advancements in Multimodal Large Language Models (MLLMs) have demonstrated remarkable progress in visual understanding. This impressive leap raises a compelling question: ho…

cs.CV2021★ 3 cited

Anomaly Crossing: New Horizons for Video Anomaly Detection as Cross-domain Few-shot Learning

Guangyu Sun, Zhang Liu, Lianggong Wen +2

Video anomaly detection aims to identify abnormal events that occurred in videos. Since anomalous events are relatively rare, it is not feasible to collect a balanced dataset and t…

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