Peijie Dong
20 papers · 2023–2025 · 8 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
π Conference Polyglot (8) π Cross-Pollinator (12) π Interdisciplinary Bridge π§ Keyword Pioneer π Renaissance Researcher (6)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(33)
π
Keyword Champion
(2)
π€
Dynamic Duo
(15)
π
Grand Slam
π
Century Club
(20)
ποΈ
Keyword Collector
(61)
β
The Questioner
(2)
β‘
Prolific Year
(12)
Conferences
ECCV (4)
NIPS (4)
EMNLP (3)
ICML (3)
AAAI (2)
ICCV (2)
CVPR (1)
ICLR (1)
Top co-authors
Keywords
model compression
(4)
neural architecture search
(3)
knowledge distillation
(3)
architecture search
(2)
evolutionary algorithm
(2)
language model
(2)
zero-cost proxy
(2)
ranking consistency
(2)
neural network optimization
(2)
benchmark evaluation
(1)
language model evaluation
(1)
question answering
(1)
model architecture
(1)
zero-shot learning
(1)
federated learning
(1)
knowledge editing
(1)
monte carlo tree search
(1)
causal inference
(1)
safety alignment
(1)
model fusion
(1)
Papers
STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs
ICLR 2025
Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression
ICML 2025
ParZC: Parametric Zero-Cost Proxies for Efficient NAS
AAAI 2025
Perovskite-LLM: Knowledge-Enhanced Large Language Models for Perovskite Solar Cell Research
EMNLP 2025
Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery
AAAI 2024
AttnZero: Efficient Attention Discovery for Vision Transformers
ECCV 2024
Auto-GAS: Automated Proxy Discovery for Training-free Generative Architecture Search
ECCV 2024
Auto-DAS: Automated Proxy Discovery for Training-free Distillation-aware Architecture Search
ECCV 2024
LongGenBench: Long-context Generation Benchmark
EMNLP 2024
LPZero: Language Model Zero-cost Proxy Search from Zero
EMNLP 2024
Multi-Task Domain Adaptation for Language Grounding with 3D Objects
ECCV 2024
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion
NIPS 2024
Should We Really Edit Language Models? On the Evaluation of Edited Language Models
NIPS 2024
Discovering Sparsity Allocation for Layer-wise Pruning of Large Language Models
NIPS 2024
Pruner-Zero: Evolving Symbolic Pruning Metric From Scratch for Large Language Models
ICML 2024
DetKDS: Knowledge Distillation Search for Object Detectors
ICML 2024
KD-Zero: Evolving Knowledge Distiller for Any Teacher-Student Pairs
NIPS 2023
DisWOT: Student Architecture Search for Distillation WithOut Training
CVPR 2023
EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization
ICCV 2023
Automated Knowledge Distillation via Monte Carlo Tree Search
ICCV 2023