Zhezhi He
14 papers · 2019–2026 · 5 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (32)
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Century Club Β· Bronze
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Renaissance Researcher
(6)
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Keyword Collector
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Research topics
Machine Learning
(11)
Artificial Intelligence
(10)
Core AI
(10)
Deep Learning
(9)
Application Areas
(9)
Optimization & Theory Β· Deep Learning
(7)
Learning Types Β· Machine Learning
(4)
Learning Types Β· Deep Learning
(4)
Architectures
(3)
Optimization & Theory Β· Machine Learning
(3)
Techniques
(2)
Computer Science
(1)
Computer Vision
(1)
Interdisciplinary
(1)
Natural Language Processing
(1)
Keywords
model compression
(5)
adversarial attack
(4)
bit-flip attack
(3)
adversarial training
(2)
model robustness
(2)
spiking neural network
(2)
neural network quantization
(2)
catastrophic forgetting
(1)
object detection
(1)
continual learning
(1)
neural network security
(1)
model security
(1)
adversarial machine learning
(1)
post-training quantization
(1)
efficient computing
(1)
multi-task learning
(1)
neural network optimization
(1)
gaussian approximation
(1)
fault tolerance
(1)
gaussian splatting
(1)
Papers
Seele: A Unified Acceleration Framework for Real-Time Gaussian Splatting on Mobile Devices
CVPR 2026
VISTREAM: Improving Computation Efficiency of Visual Streaming Perception via Law-of-Charge-Conservation Inspired Spiking Neural Network
CVPR 2025
BKDSNN: Enhancing the Performance of Learning-based Spiking Neural Networks Training with Blurred Knowledge Distillation
ECCV 2024
CLLMs: Consistency Large Language Models
ICML 2024
SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN
ICML 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
Harmonious Coexistence of Structured Weight Pruning and Ternarization for Deep Neural Networks
AAAI 2020
TBT: Targeted Neural Network Attack With Bit Trojan
CVPR 2020
Bit-Flip Attack: Crushing Neural Network With Progressive Bit Search
ICCV 2019
Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack
CVPR 2019
Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network Using Truncated Gaussian Approximation
CVPR 2019