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researcher

Wei‐Shinn Ku

3 papers here

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

author position
  • last author3

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

fields
  • cs.LG2
  • cs.RO1
ORCID 0000-0001-8636-4689

identity via Semantic Scholar / OpenAlex

most citedDynamic Graph Representation Learning for Depression Screening with Transformer

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

collaborators

4 papers

cs.LG2024★ 5 cited

A Survey of Lottery Ticket Hypothesis

Bohan Liu, Zijie Zhang, Peixiong He +6

The Lottery Ticket Hypothesis (LTH) states that a dense neural network model contains a highly sparse subnetwork (i.e., winning tickets) that can achieve even better performance th…

cs.LG2023★ 2 cited

Dynamic Graph Representation Learning for Depression Screening with Transformer

Ai-Te Kuo, Haiquan Chen, Yu-Hsuan Kuo +1

Early detection of mental disorder is crucial as it enables prompt intervention and treatment, which can greatly improve outcomes for individuals suffering from debilitating mental…

cs.LG2023★ 2 cited

Rethinking Graph Lottery Tickets: Graph Sparsity Matters

Bo Hui, Da Yan, Xiaolong Ma +1

Lottery Ticket Hypothesis (LTH) claims the existence of a winning ticket (i.e., a properly pruned sub-network together with original weight initialization) that can achieve competi…

cs.RO2022

Multi-modal Transformer Path Prediction for Autonomous Vehicle

Chia Hong Tseng, Jie Zhang, Min-Te Sun +2

Reasoning about vehicle path prediction is an essential and challenging problem for the safe operation of autonomous driving systems. There exist many research works for path predi…

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