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Kun Gai

27 papers hereh-index 14642 citations29 works total

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

author position
  • middle author7
  • last author17

Across the 24 of 27 papers where every author was matched, so the position is known.

fields
  • cs.IR22
  • cs.LG4
  • cs.CV1
same name
  • Kun Gai — 53 papers, h 20
  • Kun Gai — 49 papers, h 12
  • Kun Gai — 36 papers, h 17
  • Kun Gai — 28 papers, h 6
  • Kun Gai — 22 papers, h 11
  • Kun Gai — 9 papers, h 7

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
20222026
most citedExploration and Regularization of the Latent Action Space in Recommendation

41 citations · 122 across the 27 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2025★ 1 cited

Generative Auto-Bidding with Value-Guided Explorations

Jingtong Gao, Yewen Li, Shuai Mao +8

Auto-bidding, with its strong capability to optimize bidding decisions within dynamic and competitive online environments, has become a pivotal strategy for advertising platforms.…

cs.LG2024

Adaptive2: Adaptive Domain Mining for Fine-grained Domain Adaptation Modeling

Wenxuan Sun, Zixuan Yang, Yunli Wang +8

Advertising systems often face the multi-domain challenge, where data distributions vary significantly across scenarios. Existing domain adaptation methods primarily focus on build…

cs.LG2023★ 2 cited

State Regularized Policy Optimization on Data with Dynamics Shift

Zhenghai Xue, Qingpeng Cai, Shuchang Liu +4

In many real-world scenarios, Reinforcement Learning (RL) algorithms are trained on data with dynamics shift, i.e., with different underlying environment dynamics. A majority of cu…

cs.LG2023★ 2 cited

Two-Stage Constrained Actor-Critic for Short Video Recommendation

Qingpeng Cai, Zhenghai Xue, Chi Zhang +9

The wide popularity of short videos on social media poses new opportunities and challenges to optimize recommender systems on the video-sharing platforms. Users sequentially intera…

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