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Xianzhi Wang

9 papers hereh-index 191.4k citations57 works total

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

author position
  • middle author8
  • last author1

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.IR4
  • cs.LG4
  • cs.CV1
same name
  • Xianzhi Wang — 31 papers, h 31
  • Xianzhi Wang — 8 papers, h 12
  • Xianzhi Wang — 2 papers, h 0
  • Xianzhi Wang — 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
20202024
most citedAdversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems

36 citations · 57 across the 9 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2021

Global Convolutional Neural Processes

Xuesong Wang, Lina Yao, Xianzhi Wang +2

The ability to deal with uncertainty in machine learning models has become equally, if not more, crucial to their predictive ability itself. For instance, during the pandemic, gove…

cs.LG2021

Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference

Xiaocong Chen, Lina Yao, Xianzhi Wang +3

Recent advances in reinforcement learning have inspired increasing interest in learning user modeling adaptively through dynamic interactions, e.g., in reinforcement learning based…

cs.LG2020

NP-PROV: Neural Processes with Position-Relevant-Only Variances

Xuesong Wang, Lina Yao, Xianzhi Wang +1

Neural Processes (NPs) families encode distributions over functions to a latent representation, given context data, and decode posterior mean and variance at unknown locations. Sin…

cs.LG2020★ 36 cited

Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems

Yuanjiang Cao, Xiaocong Chen, Lina Yao +2

Adversarial attacks pose significant challenges for detecting adversarial attacks at an early stage. We propose attack-agnostic detection on reinforcement learning-based interactiv…

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