Qingqing Cao
11 papers · 2020–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (14) π Conference Polyglot (6) π Academic Marathon (5) π Renaissance Researcher (5) π Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(15)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Century Club
(11)
Conferences
ACL (4)
EMNLP (2)
ICML (2)
ICLR (1)
IJCNLP (1)
NIPS (1)
Top co-authors
Keywords
efficient computing
(3)
inference energy
(2)
energy prediction
(2)
transformer model
(2)
model compression
(2)
information retrieval
(2)
knowledge distillation
(2)
model tree graph
(2)
neural network optimization
(1)
regression analysis
(1)
model architecture
(1)
model inference
(1)
model training
(1)
vision language model
(1)
power consumption
(1)
memory consumption
(1)
vector quantization
(1)
inference latency
(1)
parameter efficiency
(1)
token pruning
(1)
Papers
CtrlSynth: Controllable Image Text Synthesis for Data-Efficient Multimodal Learning
ICML 2025
BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models
ICLR 2024
APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
ICML 2024
AdANNS: A Framework for Adaptive Semantic Search
NIPS 2023
PuMer: Pruning and Merging Tokens for Efficient Vision Language Models
ACL 2023
A Survey for Efficient Open Domain Question Answering
ACL 2023
IrEne: Interpretable Energy Prediction for Transformers
IJCNLP 2021
IrEne: Interpretable Energy Prediction for Transformers
ACL 2021
IrEne-viz: Visualizing Energy Consumption of Transformer Models
EMNLP 2021
Towards Accurate and Reliable Energy Measurement of NLP Models
EMNLP 2020
DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering
ACL 2020