Zhenglun Kong
23 papers · 2020–2025 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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model compression
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vision transformer
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sparse training
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inference acceleration
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state space model
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knowledge distillation
(2)
token pruning
(2)
video diffusion
(2)
video generation
(2)
memory efficiency
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neural network pruning
(2)
self-supervised learning
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edge computing
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efficient training
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autonomous driving
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object detection
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Papers
Mutual Effort for Efficiency: A Similarity-based Token Pruning for Vision Transformers in Self-Supervised Learning
ICLR 2025
Q-TempFusion: Quantization-Aware Temporal Multi-Sensor Fusion on Bird's-Eye View Representation
WACV 2025
Sparse Learning for State Space Models on Mobile
ICLR 2025
Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment
AAAI 2025
Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge
AAAI 2024
Exploring Token Pruning in Vision State Space Models
NeurIPS 2024
Fast and Memory-Efficient Video Diffusion Using Streamlined Inference
NeurIPS 2024
FasterVD: On Acceleration of Video Diffusion Models
IJCAI 2024
Pruning Foundation Models for High Accuracy without Retraining
EMNLP 2024
Rethinking Token Reduction for State Space Models
EMNLP 2024
Search for Efficient Large Language Models
NeurIPS 2024
Data Level Lottery Ticket Hypothesis for Vision Transformers
IJCAI 2023
HotBEV: Hardware-oriented Transformer-based Multi-View 3D Detector for BEV Perception
NeurIPS 2023
Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training
AAAI 2023
SpeedDETR: Speed-aware Transformers for End-to-end Object Detection
ICML 2023
You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model
CVPR 2023
Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training
NeurIPS 2022
SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning
ECCV 2022
You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding
ECCV 2022
A Compression-Compilation Framework for On-mobile Real-time BERT Applications
IJCAI 2021
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge
NeurIPS 2021
NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration
CVPR 2021
Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning
EMNLP 2020