Jingnan Zheng

According to our database1, Jingnan Zheng authored at least 15 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Do LLMs and VLMs Share Neurons for Inference? Evidence and Mechanisms of Cross-Modal Transfer.
CoRR, February, 2026

Transport and Merge: Cross-Architecture Merging for Large Language Models.
CoRR, February, 2026

Risky-Bench: Probing Agentic Safety Risks under Real-World Deployment.
CoRR, February, 2026

Self-Guard: Defending Large Reasoning Models via enhanced self-reflection.
CoRR, February, 2026

2025
RSafe: Incentivizing proactive reasoning to build robust and adaptive LLM safeguards.
CoRR, June, 2025

An Area-Efficient High-Precision Analog Front End for Battery Management System.
IEEE Trans. Circuits Syst. II Express Briefs, May, 2025

A 16-bit 1-MS/s SAR ADC With Capacitor Mismatch Self-Calibration.
IEEE Trans. Very Large Scale Integr. Syst., January, 2025

2024
Robust Collaborative Filtering to Popularity Distribution Shift.
ACM Trans. Inf. Syst., May, 2024

Safe + Safe = Unsafe? Exploring How Safe Images Can Be Exploited to Jailbreak Large Vision-Language Models.
CoRR, 2024

MASKDROID: Robust Android Malware Detection with Masked Graph Representations.
CoRR, 2024

Using Artificial Intelligence to Unlock Crowdfunding Success for Small Businesses.
CoRR, 2024

ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

MaskDroid: Robust Android Malware Detection with Masked Graph Representations.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

2023
Invariant Collaborative Filtering to Popularity Distribution Shift.
Proceedings of the ACM Web Conference 2023, 2023

2022
OAG-BERT: Towards a Unified Backbone Language Model for Academic Knowledge Services.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022


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