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researcher

Ji Lin

15 papers hereh-index 3412.3k citations130 works total

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

author position
  • first author4
  • middle author9
  • last author1

Across the 14 of 15 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • cs.CL3
  • cs.LG3
  • cond-mat.quant-gas1
  • cs.AI1
  • math.OC1
same name
  • Ji Lin — 15 papers, h 14
  • Ji Lin — 5 papers, h 20
  • Ji Lin — 4 papers, h 7
  • Ji Lin — 3 papers
  • Ji Lin — 3 papers, h 4
  • Ji Lin — 3 papers, h 10

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
20182023
most citedEnable Deep Learning on Mobile Devices: Methods, Systems, and Applications

137 citations · 477 across the 10 of their papers we have counts for

collaborators
Showing 2018 · cs.CVShow all

4 papers · 2 filters

cs.CV2018

Joint Monocular 3D Vehicle Detection and Tracking

Hou-Ning Hu, Qi-Zhi Cai, Dequan Wang +5

Vehicle 3D extents and trajectories are critical cues for predicting the future location of vehicles and planning future agent ego-motion based on those predictions. In this paper,…

cs.CV2018

HAQ: Hardware-Aware Automated Quantization with Mixed Precision

Kuan Wang, Zhijian Liu, Yujun Lin +2

Model quantization is a widely used technique to compress and accelerate deep neural network (DNN) inference. Emergent DNN hardware accelerators begin to support mixed precision (1…

cs.CV2018

TSM: Temporal Shift Module for Efficient Video Understanding

Ji Lin, Chuang Gan, Song Han

The explosive growth in video streaming gives rise to challenges on performing video understanding at high accuracy and low computation cost. Conventional 2D CNNs are computational…

cs.CV2018

AMC: AutoML for Model Compression and Acceleration on Mobile Devices

Yihui He, Ji Lin, Zhijian Liu +3

Model compression is a critical technique to efficiently deploy neural network models on mobile devices which have limited computation resources and tight power budgets. Convention…

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