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researcher

Hong Chen

17 papers hereh-index 221.8k citations64 works total

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

author position
  • first author3
  • middle author11

Across the 14 of 17 papers where every author was matched, so the position is known.

fields
  • cs.CV11
  • cs.LG3
  • cs.IR2
  • cs.AI1
same name
  • Hong Chen — 33 papers, h 45
  • Hong Chen — 22 papers, h 12
  • Hong Chen — 14 papers, h 13
  • Hong Chen — 11 papers, h 3
  • Hong Chen — 10 papers, h 26
  • Hong Chen — 8 papers, h 4

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
20222025
most citedDisentangled Representation Learning

17 citations · 50 across the 17 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CV2025

PhyVLLM: Physics-Guided Video Language Model with Motion-Appearance Disentanglement

Yu-Wei Zhan, Xin Wang, Hong Chen +6

Video Large Language Models (Video LLMs) have shown impressive performance across a wide range of video-language tasks. However, they often fail in scenarios requiring a deeper und…

cs.CV2025

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning

Chendi Ge, Xin Wang, Zeyang Zhang +5

Continual multimodal instruction tuning is crucial for adapting Multimodal Large Language Models (MLLMs) to evolving tasks. However, most existing methods adopt a fixed architectur…

cs.CV2025

Modular-Cam: Modular Dynamic Camera-view Video Generation with LLM

Zirui Pan, Xin Wang, Yipeng Zhang +4

Text-to-Video generation, which utilizes the provided text prompt to generate high-quality videos, has drawn increasing attention and achieved great success due to the development…

cs.IR2025

Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation

Chendi Ge, Xin Wang, Ziwei Zhang +6

Cross-domain recommendation (CDR) mitigates data sparsity and cold-start issues in recommendation systems. While recent CDR approaches using graph neural networks (GNNs) capture co…

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