Lidan Shou
18 papers · 2020–2026 · 6 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (47) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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Research topics
Artificial Intelligence
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Machine Learning
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Natural Language Processing
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Learning Types · Machine Learning
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Learning Types · Deep Learning
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Learning Paradigms · Artificial Intelligence
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Optimization & Theory
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Computer Vision
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Keywords
speculative decoding
(4)
model compression
(4)
knowledge distillation
(3)
inference acceleration
(3)
continual learning
(2)
catastrophic forgetting
(2)
federated learning
(2)
large language model
(2)
efficient inference
(2)
video large language model
(2)
semantic parsing
(2)
natural language processing
(1)
sentiment analysis
(1)
text classification
(1)
domain adaptation
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transfer learning
(1)
named entity recognition
(1)
variational inference
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contrastive learning
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weakly supervised learning
(1)
Papers
HybridKV: Hybrid KV Cache Compression for Efficient Multimodal Large Language Model Inference
ACL 2026
See the Forest for the Trees: Loosely Speculative Decoding via Visual-Semantic Guidance for Efficient Inference of Video LLMs
ACL 2026
TokenTiming: A Dynamic Alignment Method for Universal Speculative Decoding Model Pairs
ACL 2026
CogSQL: A Cognitive Framework for Enhancing Large Language Models in Text-to-SQL Translation
AAAI 2025
FloE: On-the-Fly MoE Inference on Memory-constrained GPU
ICML 2025
SpecVLM: Enhancing Speculative Decoding of Video LLMs via Verifier-Guided Token Pruning
EMNLP 2025
T2DR: A Two-Tier Deficiency-Resistant Framework for Incomplete Multimodal Learning
ACL 2025
Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models
ICLR 2025
Transfer-Aware Data Selection for Domain Adaptation in Text Retrieval
EMNLP 2025
CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition
AAAI 2024
Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding
ACL 2024
Variational Hybrid-Attention Framework for Multi-Label Few-Shot Aspect Category Detection
AAAI 2024
Effective Continual Learning for Text Classification with Lightweight Snapshots
AAAI 2023
FedBFPT: An Efficient Federated Learning Framework for Bert Further Pre-training
IJCAI 2023
Continual Federated Learning Based on Knowledge Distillation
IJCAI 2022
SkipBERT: Efficient Inference with Shallow Layer Skipping
ACL 2022
Effective Slot Filling via Weakly-Supervised Dual-Model Learning
AAAI 2021
Pyramid: A Layered Model for Nested Named Entity Recognition
ACL 2020