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researcher

Jing Gu

7 papers hereh-index 325 citations7 works total

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

author position
  • first author3
  • middle author4

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.AI2
  • cond-mat.stat-mech1
same name
  • Jing Gu — 9 papers, h 9
  • Jing Gu — 7 papers, h 5
  • Jing Gu — 6 papers, h 4
  • Jing Gu — 4 papers, h 4
  • Jing Gu — 4 papers, h 3
  • Jing Gu — 2 papers, h 3

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 citedThermodynamics of the Ising model encoded in restricted Boltzmann machines

5 citations · 9 across the 7 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2026

Rollout Pass-Rate Control: Steering Binary-Reward RL Toward Its Most Informative Regime

Tianshu Zhu, Wenyu Zhang, Xiaoying Zuo +8

Agentic reinforcement learning (RL) for software engineering spends much of its compute on stateful trajectories whose grouped binary rewards are highly skewed and weakly contrasti…

cs.LG2026

Understanding Latent Diffusability via Fisher Geometry

Jing Gu, Morteza Mardani, Wonjun Lee +2

Diffusion models often degrade in latent spaces, yet the formal causes remain poorly understood. We quantify latent-space diffusability via the rate of change of the Minimum Mean S…

cs.LG2024

Klein Model for Hyperbolic Neural Networks

Yidan Mao, Jing Gu, Marcus C. Werner +1

Hyperbolic neural networks (HNNs) have been proved effective in modeling complex data structures. However, previous works mainly focused on the Poincaré ball model and the hyperbol…

cs.LG2024★ 4 cited

Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks

Jing Gu, Dongmian Zou

Graph anomaly detection plays a vital role for identifying abnormal instances in complex networks. Despite advancements of methodology based on deep learning in recent years, exist…

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