Zi Wang

Affiliations

NUDT

papers

578

total citations

papers (13)

Convolutional Neural Network Pruning With Structural Redundancy Reduction

CVPR 2021arXiv

190

citations

Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents

CVPR 2024arXiv

121

citations

Grammar Prompting for Domain-Specific Language Generation with Large Language Models

NEURIPS 2023arXiv

citations

Towards Learning Universal Hyperparameter Optimizers with Transformers

NEURIPS 2022arXiv

citations

TBP-Former: Learning Temporal Bird's-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous Driving

CVPR 2023arXiv

citations

A Quantitative Geometric Approach to Neural-Network Smoothness

NEURIPS 2022arXiv

citations

Gaussian Process Probes (GPP) for Uncertainty-Aware Probing

NEURIPS 2023arXiv

citations

Functional Homotopy: Smoothing Discrete Optimization via Continuous Parameters for LLM Jailbreak Attacks

ICLR 2025arXiv

citations

Enhancing Non-line-of-sight Imaging via Learnable Inverse Kernel and Attention Mechanisms

ICCV 2023

citations

Zi Wang

Affiliations

papers (13)

Convolutional Neural Network Pruning With Structural Redundancy Reduction

Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents

Grammar Prompting for Domain-Specific Language Generation with Large Language Models

Towards Learning Universal Hyperparameter Optimizers with Transformers

TBP-Former: Learning Temporal Bird's-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous Driving

A Quantitative Geometric Approach to Neural-Network Smoothness

Gaussian Process Probes (GPP) for Uncertainty-Aware Probing

Functional Homotopy: Smoothing Discrete Optimization via Continuous Parameters for LLM Jailbreak Attacks

Dataset Distillation via Vision-Language Category Prototype

Multi-scale Cross Distillation for Object Detection in Aerial Images

Deterministic Object Pose Confidence Region Estimation

Heterogeneous Test-Time Training for Multi-Modal Person Re-identification

Enhancing Non-line-of-sight Imaging via Learnable Inverse Kernel and Attention Mechanisms

papers (13)

Convolutional Neural Network Pruning With Structural Redundancy Reduction

Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents

Grammar Prompting for Domain-Specific Language Generation with Large Language Models

Towards Learning Universal Hyperparameter Optimizers with Transformers

TBP-Former: Learning Temporal Bird's-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous Driving

A Quantitative Geometric Approach to Neural-Network Smoothness

Gaussian Process Probes (GPP) for Uncertainty-Aware Probing

Functional Homotopy: Smoothing Discrete Optimization via Continuous Parameters for LLM Jailbreak Attacks

Dataset Distillation via Vision-Language Category Prototype

Multi-scale Cross Distillation for Object Detection in Aerial Images

Deterministic Object Pose Confidence Region Estimation

Heterogeneous Test-Time Training for Multi-Modal Person Re-identification

Enhancing Non-line-of-sight Imaging via Learnable Inverse Kernel and Attention Mechanisms