Qingqing Cao
10 papers · 2020–2025 · 5 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (19)
🧭
Keyword Pioneer
🗃️
Keyword Collector
(59)
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(8)
Natural Language Processing
(6)
Application Areas
(6)
Artificial Intelligence
(4)
Deep Learning
(4)
Core AI
(4)
Resources & Methods
(4)
Core Methods
(3)
Applications · Natural Language Processing
(2)
Architectures
(2)
Optimization & Theory · Machine Learning
(2)
Optimization & Theory · Deep Learning
(2)
Computer Science
(1)
Applications · Computer Science
(1)
Learning Types
(1)
Keywords
model compression
(3)
efficient computing
(3)
information retrieval
(2)
knowledge distillation
(2)
large language model
(2)
neural network optimization
(1)
regression analysis
(1)
model architecture
(1)
power consumption
(1)
inference efficiency
(1)
vector quantization
(1)
model inference
(1)
control policies
(1)
diffusion model
(1)
inference optimization
(1)
vision-language model
(1)
model training
(1)
token pruning
(1)
model interpretability
(1)
semantic search
(1)
Papers
CtrlSynth: Controllable Image Text Synthesis for Data-Efficient Multimodal Learning
ICML 2025
APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
ICML 2024
BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models
ICLR 2024
AdANNS: A Framework for Adaptive Semantic Search
NeurIPS 2023
A Survey for Efficient Open Domain Question Answering
ACL 2023
PuMer: Pruning and Merging Tokens for Efficient Vision Language Models
ACL 2023
IrEne: Interpretable Energy Prediction for Transformers
ACL 2021
IrEne-viz: Visualizing Energy Consumption of Transformer Models
EMNLP 2021
DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering
ACL 2020
Towards Accurate and Reliable Energy Measurement of NLP Models
EMNLP 2020