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Jie Zhang

9 papers hereh-index 324 citations16 works total

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

author position
  • middle author1
  • last author8

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

fields
  • eess.SY5
  • math.OC2
  • cs.CR1
  • cs.LG1
same name
  • Jie Zhang — 41 papers, h 20
  • Jie Zhang — 29 papers, h 30
  • Jie Zhang — 28 papers, h 19
  • Jie Zhang — 25 papers, h 8
  • Jie Zhang — 17 papers, h 10
  • Jie Zhang — 16 papers, h 14

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
20242026
collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CR2026

Benchmarking Cyberattack Detection in Electric Vehicle Charging Infrastructure with Benign User Updates

Hannan Chen, Roshni Anna Jacob, Jie Zhang

Cyberattack detection in electric vehicle charging infrastructure is complicated by legitimate post-activation revisions to requested energy and departure time. Charging manipulati…

eess.SY2026

Reinforcement Learning for Vehicle-to-Grid Voltage Regulation: Single-Hub to Multi-Hub Coordination with Battery-Aware Constraints

Jingbo Wang, Roshni Anna Jacob, Harshal D. Kaushik +1

This paper presents a Vehicle-to-Grid (V2G) coordination framework using reinforcement learning (RL). {An intelligent control strategy based on the soft actor-critic algorithm is d…

eess.SY2026

Topology-Aware Reinforcement Learning over Graphs for Resilient Power Distribution Networks

Roshni Anna Jacob, Prithvi Poddar, Jaidev Goel +3

Extreme weather events and cyberattacks can cause component failures and disrupt the operation of power distribution networks (DNs), during which reconfiguration and load shedding…

eess.SY2026

A SISA-based Machine Unlearning Framework for Power Transformer Inter-Turn Short-Circuit Fault Localization

Nanhong Liu, Jingyi Yan, Mucun Sun +1

In practical data-driven applications on electrical equipment fault diagnosis, training data can be poisoned by sensor failures, which can severely degrade the performance of machi…

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