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Haonan Xu

6 papers hereh-index 6115 citations10 works total

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

author position
  • first author1
  • middle author5

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.DC1
  • cs.IR1
same name
  • Haonan Xu — 8 papers, h 2
  • Haonan Xu — 4 papers, h 5
  • Haonan Xu — 3 papers
  • Haonan Xu — 1 paper, h 1
  • Haonan Xu — 1 paper, h 1
  • Haonan Xu — 1 paper, h 0

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
20202023
most citedSemantic interpretation for convolutional neural networks: What makes a cat a cat?

9 citations · 18 across the 6 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.IR2022★ 4 cited

Long Short-Term Preference Modeling for Continuous-Time Sequential Recommendation

Huixuan Chi, Hao Xu, Hao Fu +5

Modeling the evolution of user preference is essential in recommender systems. Recently, dynamic graph-based methods have been studied and achieved SOTA for recommendation, majorit…

cs.LG2022

Ensemble Multi-Relational Graph Neural Networks

Yuling Wang, Hao Xu, Yanhua Yu +4

It is well established that graph neural networks (GNNs) can be interpreted and designed from the perspective of optimization objective. With this clear optimization objective, the…

cs.LG2022★ 9 cited

Semantic interpretation for convolutional neural networks: What makes a cat a cat?

Hao Xu, Yuntian Chen, Dongxiao Zhang

The interpretability of deep neural networks has attracted increasing attention in recent years, and several methods have been created to interpret the "black box" model. Fundament…

cs.DC2022

Searching for Efficient Neural Architectures for On-Device ML on Edge TPUs

Berkin Akin, Suyog Gupta, Yun Long +6

On-device ML accelerators are becoming a standard in modern mobile system-on-chips (SoC). Neural architecture search (NAS) comes to the rescue for efficiently utilizing the high co…

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