Haoli Bai
20 papers · 2016–2026 · 10 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (43) 🌍 Conference Polyglot · Gold 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🤝
Dynamic Duo
(12)
🏆
Grand Slam
👥
Mega-Team · Squad
🧬
Topic Evolution
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
🗃️
Keyword Collector
(111)
⚡
Prolific Year · Productive
Venues
Top co-authors
Research topics
Artificial Intelligence
(17)
Machine Learning
(17)
Deep Learning
(15)
Core AI
(14)
Application Areas
(13)
Optimization & Theory · Deep Learning
(9)
Optimization & Theory · Machine Learning
(5)
Natural Language Processing
(4)
Learning Types · Deep Learning
(4)
Architectures
(3)
Learning Paradigms
(3)
Learning Types · Machine Learning
(3)
Techniques
(3)
Computer Vision
(2)
Applications
(2)
Keywords
model compression
(10)
large language model
(6)
vision-language model
(3)
knowledge distillation
(3)
multimodal learning
(3)
neural architecture search
(2)
neural network
(2)
post-training quantization
(2)
latency optimization
(2)
structured pruning
(2)
visual document understanding
(2)
few-shot learning
(2)
efficient inference
(2)
model pruning
(2)
inference efficiency
(2)
speech processing
(1)
link prediction
(1)
speech synthesis
(1)
neural network pruning
(1)
quantization
(1)
Papers
Benchmarking Post-Training Quantization of Large Language Models under Microscaling Floating Point Formats
ACL 2026
Efficient Inference for Large Language Models –Algorithm, Model, and System
EMNLP 2025
EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions
CVPR 2025
Faster and Better LLMs via Latency-Aware Test-Time Scaling
EMNLP 2025
FlatQuant: Flatness Matters for LLM Quantization
ICML 2025
TreeKV: Smooth Key-Value Cache Compression with Tree Structures
IJCAI 2025
IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact
ACL 2024
MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-wise Pruning Error Metric
CVPR 2024
Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models
ICLR 2024
Visually Guided Generative Text-Layout Pre-training for Document Intelligence
NAACL 2024
Structured Pruning for Efficient Generative Pre-trained Language Models
ACL 2023
Wukong-Reader: Multi-modal Pre-training for Fine-grained Visual Document Understanding
ACL 2023
Towards Efficient Post-training Quantization of Pre-trained Language Models
NeurIPS 2022
BinaryBERT: Pushing the Limit of BERT Quantization
ACL 2021
Few Shot Network Compression via Cross Distillation
AAAI 2020
M-NAS: Meta Neural Architecture Search
AAAI 2020
Revisiting Parameter Sharing for Automatic Neural Channel Number Search
NeurIPS 2020
RTN: Reparameterized Ternary Network
AAAI 2020
Structured Inference for Recurrent Hidden Semi-markov Model
IJCAI 2018
Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network
ACML 2016