← Authors

Zhezhi He

13 papers · 2019–2025 · 5 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (6) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (15) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (5) πŸ—ΊοΈ Taxonomy Completionist (29) 🧭 Keyword Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (13) πŸ—ƒοΈ Keyword Collector (54)

Conferences

CVPR (7) ICCV (2) ICML (2) AAAI (1) ECCV (1)

Top co-authors

Deliang Fan (8) Adnan Siraj Rakin (5) Kang You (3) Qinghai Guo (3) Zhijie Deng (2) Zekai Xu (2) Jingtao Li (2) Xiang Wang (2) Li Yang (2) Chaitali Chakrabarti (2)

Research topics

Privacy (1)

Keywords

model compression (5) adversarial attack (4) bit-flip attack (3) adversarial training (2) neural network quantization (2) model robustness (2) catastrophic forgetting (1) object detection (1) continual learning (1) neural network security (1) model security (1) post-training quantization (1) adversarial machine learning (1) multi-task learning (1) efficient computing (1) neural network optimization (1) gaussian approximation (1) fault tolerance (1) visual tracking (1) semantic segmentation (1)

Papers

VISTREAM: Improving Computation Efficiency of Visual Streaming Perception via Law-of-Charge-Conservation Inspired Spiking Neural Network CVPR 2025
SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN ICML 2024
CLLMs: Consistency Large Language Models ICML 2024
BKDSNN: Enhancing the Performance of Learning-based Spiking Neural Networks Training with Blurred Knowledge Distillation ECCV 2024
ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning CVPR 2022
Improving Neural Network Efficiency via Post-Training Quantization With Adaptive Floating-Point ICCV 2021
KSM: Fast Multiple Task Adaption via Kernel-Wise Soft Mask Learning CVPR 2021
Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack CVPR 2020
TBT: Targeted Neural Network Attack With Bit Trojan CVPR 2020
Harmonious Coexistence of Structured Weight Pruning and Ternarization for Deep Neural Networks AAAI 2020
Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack CVPR 2019
Bit-Flip Attack: Crushing Neural Network With Progressive Bit Search ICCV 2019
Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network Using Truncated Gaussian Approximation CVPR 2019