Dong, Yiting

9 publications

ICLR 2026 CaRe-BN: Precise Moving Statistics for Stabilizing Spiking Neural Networks in Reinforcement Learning Zijie Xu, Xinyu Shi, Yiting Dong, Zihan Huang, Zhaofei Yu

ICLR 2026 PredNext: Explicit Cross-View Temporal Prediction for Unsupervised Learning in Spiking Neural Networks Yiting Dong, Jianhao Ding, Zijie Xu, Tong Bu, Zhaofei Yu, Tiejun Huang

IJCAI 2025 Brain-Inspired Stepwise Patch Merging for Vision Transformers Yonghao Yu, Dongcheng Zhao, Guobin Shen, Yiting Dong, Yi Zeng

AAAI 2025 EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic Vision Yiting Dong, Xiang He, Guobin Shen, Dongcheng Zhao, Yang Li, Yi Zeng

ICLR 2025 Jailbreak Antidote: Runtime Safety-Utility Balance via Sparse Representation Adjustment in Large Language Models Guobin Shen, Dongcheng Zhao, Yiting Dong, Xiang He, Yi Zeng

NeurIPS 2025 Learning the Plasticity: Plasticity-Driven Learning Framework in Spiking Neural Networks Guobin Shen, Dongcheng Zhao, Yiting Dong, Yang Li, Feifei Zhao, Yi Zeng

AAAI 2025 StressPrompt: Does Stress Impact Large Language Models and Human Performance Similarly? Guobin Shen, Dongcheng Zhao, Aorigele Bao, Xiang He, Yiting Dong, Yi Zeng

NeurIPS 2024 Neuro-Vision to Language: Enhancing Brain Recording-Based Visual Reconstruction and Language Interaction Guobin Shen, Dongcheng Zhao, Xiang He, Linghao Feng, Yiting Dong, Jihang Wang, Qian Zhang, Yi Zeng

NeurIPS 2023 Bullying10K: A Large-Scale Neuromorphic Dataset Towards Privacy-Preserving Bullying Recognition Yiting Dong, Yang Li, Dongcheng Zhao, Guobin Shen, Yi Zeng