Dong Jin

Orcid: 0000-0003-4026-8338

Affiliations:
  • Hefei Comprehensive National Science Center, Hefei, China


According to our database1, Dong Jin authored at least 19 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Rethinking Stepwise Model Routing: A Cost-Efficient Table Reasoning Perspective.
CoRR, May, 2026

LogiDiag: Diagnostic Planner-Guided Reasoning With LLMs for Logical Anomaly Diagnosis.
IEEE Trans. Ind. Informatics, April, 2026

Rethinking Table Pruning in TableQA: From Sequential Revisions to Gold Trajectory-Supervised Parallel Search.
CoRR, January, 2026

FAESR: Fine-Grained Rate Adaptation for Energy-Aware Super Resolution in Mobile Panoramic Video Streaming.
IEEE Trans. Cogn. Commun. Netw., 2026

DisHelis: Optimizing Deployment of Disaggregated LLMs Inference Serving Over Heterogeneous Environments via Hierarchical Max-Flow.
IEEE Trans. Cogn. Commun. Netw., 2026

ElecThinker: A Three-Stage Framework to Enhance Electronic Diagram Reasoning in Multimodal LLMs.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2026

2025
RLpatch: A Robust Low-Overhead Website Fingerprinting Defense Method Based on Reinforcement Learning Within Sensitive Regions.
IEEE Trans. Netw. Serv. Manag., December, 2025

When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables.
CoRR, September, 2025

SQLForge: Synthesizing Reliable and Diverse Data to Enhance Text-to-SQL Reasoning in LLMs.
CoRR, May, 2025

Robust Cross-Chamber One-Class Fault Detection in Semiconductor Manufacturing.
IEEE Trans Autom. Sci. Eng., 2025

GRAIN: Graph neural network and reinforcement learning aided causality discovery for multi-step attack scenario reconstruction.
Comput. Secur., 2025

SQLForge: Synthesizing Reliable and Diverse Data to Enhance Text-to-SQL Reasoning in LLMs.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
LinkGuard: Link Flooding Attack Detection and Mitigation via Spatio-Temporal Graph Convolutional Network.
IEEE Trans. Netw. Sci. Eng., 2024

LogGraph: Log Event Graph Learning Aided Robust Fine-Grained Anomaly Diagnosis.
IEEE Trans. Dependable Secur. Comput., 2024

Graph Coding Aided Deep Reinforcement Learning for Fault-tolerant Workflow Scheduling.
Proceedings of the 24th IEEE International Conference on Communication Technology, 2024

Generative Models Based Wafer Surface Defect Detection in Limited Sample Scenarios.
Proceedings of the 2024 13th International Conference on Computing and Pattern Recognition, 2024

2023
Deep Learning Based Online Nondestructive Defect Detection for Self-Piercing Riveted Joints in Automotive Body Manufacturing.
IEEE Trans. Ind. Informatics, August, 2023

Federated Incremental Learning based Evolvable Intrusion Detection System for Zero-Day Attacks.
IEEE Netw., 2023

2020
Zero-Day Traffic Identification Using One-Dimension Convolutional Neural Networks And Auto Encoder Machine.
Proceedings of the 2020 IFIP Networking Conference, 2020


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