Caiwen Ding
18 papers · 2020–2026 · 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.
Achievements
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πΊοΈ Taxonomy Completionist (39) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Deep Specialist
(10)
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Topic Evolution
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Renaissance Researcher
(5)
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Trend Setter
π₯
Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Keyword Collector
(86)
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(16)
Application Areas
(15)
Deep Learning
(11)
Artificial Intelligence
(7)
Core AI
(6)
Learning Types Β· Deep Learning
(5)
Optimization & Theory Β· Deep Learning
(5)
Optimization & Theory Β· Machine Learning
(5)
Natural Language Processing
(3)
Security & Privacy
(3)
Architectures
(3)
Privacy
(3)
Computer Vision
(2)
Applications
(2)
Learning Types Β· Machine Learning
(2)
Keywords
model compression
(9)
weight pruning
(3)
knowledge distillation
(3)
adversarial attack
(2)
privacy-preserving machine learning
(2)
encrypted inference
(2)
privacy leakage
(2)
language model
(2)
homomorphic encryption
(2)
large language model
(2)
model pruning
(2)
privacy preservation
(1)
neural network training
(1)
network pruning
(1)
distributed learning
(1)
dialogue generation
(1)
adversarial robustness
(1)
prompt engineering
(1)
secure aggregation
(1)
3d reconstruction
(1)
Papers
Beyond Code Pairs: Dialogue-Based Data Generation for LLM Code Translation
ACL 2026
Advancing Adversarial Robustness in GNeRFs: The IL2-NeRF Attack
CVPR 2025
RTop-K: Ultra-Fast Row-Wise Top-K Selection for Neural Network Acceleration on GPUs
ICLR 2025
AdaDiff: Accelerating Diffusion Models through Step-Wise Adaptive Computation
ECCV 2024
MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems
NeurIPS 2024
Accelerating Dataset Distillation via Model Augmentation
CVPR 2023
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference
ICCV 2023
LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference
NeurIPS 2023
SpENCNN: Orchestrating Encoding and Sparsity for Fast Homomorphically Encrypted Neural Network Inference
ICML 2023
Towards Lossless Head Pruning through Automatic Peer Distillation for Language Models
IJCAI 2023
You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model
CVPR 2023
Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm
ACL 2022
A Compression-Compilation Framework for On-mobile Real-time BERT Applications
IJCAI 2021
Against Membership Inference Attack: Pruning is All You Need
IJCAI 2021
A Secure and Efficient Federated Learning Framework for NLP
EMNLP 2021
Enabling Retrain-free Deep Neural Network Pruning Using Surrogate Lagrangian Relaxation
IJCAI 2021
TAG: Gradient Attack on Transformer-based Language Models
EMNLP 2021
Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning
EMNLP 2020