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Jingyi Wang

4 papers hereh-index 566 citations5 works total

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

author position
  • first author3
  • middle author1

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

fields
  • cs.CV2
  • cs.AI1
  • cs.SD1
same name
  • Jingyi Wang — 23 papers, h 16
  • Jingyi Wang — 14 papers, h 7
  • Jingyi Wang — 7 papers, h 19
  • Jingyi Wang — 7 papers, h 3
  • Jingyi Wang — 7 papers, h 2
  • Jingyi Wang — 6 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

most citedKeyword Spotting System and Evaluation of Pruning and Quantization Methods on Low-power Edge Microcontrollers

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

collaborators

4 papers

cs.CV2023

Improving Scene Graph Generation with Superpixel-Based Interaction Learning

Jingyi Wang, Can Zhang, Jinfa Huang +2

Recent advances in Scene Graph Generation (SGG) typically model the relationships among entities utilizing box-level features from pre-defined detectors. We argue that an overlooke…

cs.CV2023★ 1 cited

Cross-Modality Time-Variant Relation Learning for Generating Dynamic Scene Graphs

Jingyi Wang, Jinfa Huang, Can Zhang +1

Dynamic scene graphs generated from video clips could help enhance the semantic visual understanding in a wide range of challenging tasks such as environmental perception, autonomo…

cs.AI2023

FairRec: Fairness Testing for Deep Recommender Systems

Huizhong Guo, Jinfeng Li, Jingyi Wang +5

Deep learning-based recommender systems (DRSs) are increasingly and widely deployed in the industry, which brings significant convenience to people's daily life in different ways.…

cs.SD2022★ 3 cited

Keyword Spotting System and Evaluation of Pruning and Quantization Methods on Low-power Edge Microcontrollers

Jingyi Wang, Shengchen Li

Keyword spotting (KWS) is beneficial for voice-based user interactions with low-power devices at the edge. The edge devices are usually always-on, so edge computing brings bandwidt…

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