Caiwen Ding
18 papers · 2020–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (13)
🏃
Academic Marathon
(5)
🐣
Hot Topic Early Bird
🐝
Cross-Pollinator
(13)
🗃️
Keyword Collector
(72)
💎
Century Club
(17)
🔥
Unstoppable
(6)
⚡
Prolific Year
(6)
Conferences
IJCAI (4)
CVPR (3)
EMNLP (3)
ACL (2)
NIPS (2)
ECCV (1)
ICCV (1)
ICLR (1)
ICML (1)
Top co-authors
Research topics
Keywords
model compression
(9)
knowledge distillation
(3)
weight pruning
(3)
privacy-preserving machine learning
(2)
homomorphic encryption
(2)
adversarial attack
(2)
language model
(2)
model pruning
(2)
encrypted inference
(2)
large language model
(2)
privacy leakage
(2)
network pruning
(1)
natural language processing
(1)
neural network optimization
(1)
privacy preservation
(1)
distributed learning
(1)
adversarial robustness
(1)
dialogue generation
(1)
data privacy
(1)
prompt engineering
(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
NIPS 2024
LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference
NIPS 2023
You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model
CVPR 2023
Accelerating Dataset Distillation via Model Augmentation
CVPR 2023
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference
ICCV 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
Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm
ACL 2022
Enabling Retrain-free Deep Neural Network Pruning Using Surrogate Lagrangian Relaxation
IJCAI 2021
Against Membership Inference Attack: Pruning is All You Need
IJCAI 2021
A Compression-Compilation Framework for On-mobile Real-time BERT Applications
IJCAI 2021
A Secure and Efficient Federated Learning Framework for NLP
EMNLP 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