Dongcheng Zhao

Dongcheng Zhao, Ph.D.

Senior Research Fellow, Director of AI Safety Research Center, Beijing-AISI

Ph.D., CAS Institute of Automation (with Prof. Yi Zeng)
B.Sc., School of Math & Stats, Xidian University

Research Focus: AI Safety & Alignment, Brain-Inspired Intelligence, Multimodal Learning

Reviewer for: IJCAI, ICML, NeurIPS, ICLR, TNNLS, TIP, TETCI

News

05/2025
One paper accepted by iScience.
02/2025
One paper accepted by IJCAI 2025.
02/2025
One paper accepted by ICLR 2025.
02/2025
Two papers accepted by AAAI 2025: StressPrompt and EventZoom.
11/2024
Received the 2023 Cell Press China Paper of the Year Award (Interdisciplinary Science).

Selected Publications

Jailbreak Antidote: Runtime Safety-Utility Balance via Sparse Representation Adjustment in LLMs
Guobin Shen, Dongcheng Zhao, Xiang He, Yiting Dong, Yi Zeng
International Conference on Learning Representations (ICLR) 2025
Improving Stability and Performance of Spiking Neural Networks through Enhancing Temporal Consistency
Dongcheng Zhao, Guobin Shen, Yiting Dong, Yang Li, Yi Zeng
Pattern Recognition 2024, 116: 108-123
Brain-inspired neural circuit evolution for spiking neural networks
Guobin Shen*, Dongcheng Zhao*, Yiting Dong, Yi Zeng (Equal Contribution)
Proceedings of the National Academy of Sciences (PNAS) 2023 120(18)
Complete Publication List →

Research Projects

PANDAGUARD

PandaGuard structures LLM safety evaluation as an interactive system with Attackers, Defenders, and Judges. It supports plug-and-play of various algorithms, backends, and interfaces.

PANDAGUARD

Spiking Transformer Evaluation Platform (STEP)

STEP reproduces state-of-the-art Spiking Transformer models and offers a unified pipeline for classification, segmentation, and object detection. It enables fair, reproducible comparisons while remaining easy to extend.

STEP

Brain-inspired Cognitive Intelligence Engine (BrainCog)

BrainCog is an open source spiking neural network based brain-inspired cognitive intelligence engine for Brain-inspired AI, Embodied AI, and brain simulation.

BrainCog