Rui Hou
26 papers · 2017–2026 · 11 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (59) π Academic Marathon Β· Sprint π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Bronze π₯ Mega-Team Β· Squad
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Mega-Team Β· Squad
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(112)
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Conference Pioneer
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Venues
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Research topics
Artificial Intelligence
(14)
Machine Learning
(14)
Natural Language Processing
(12)
Core AI
(12)
Deep Learning
(10)
Learning Types Β· Deep Learning
(9)
Resources & Methods
(9)
Application Areas
(8)
Learning Types Β· Machine Learning
(8)
Computer Vision
(4)
Learning Paradigms
(4)
Analysis
(3)
Architectures
(3)
Optimization & Theory
(3)
Processing
(3)
Keywords
pre-trained language model
(6)
language model
(5)
transfer learning
(5)
large language model
(4)
knowledge distillation
(3)
model compression
(3)
object detection
(2)
prompt tuning
(2)
contrastive learning
(2)
parameter-efficient tuning
(2)
reinforcement learning
(2)
semantic segmentation
(2)
few-shot learning
(2)
representation learning
(2)
instruction tuning
(2)
soft prompt
(2)
self-attention mechanism
(1)
zero-shot learning
(1)
reward modeling
(1)
adversarial robustness
(1)
Papers
Reinforcing Structured Chain-of-Thought for Video Understanding
CVPR 2026
A Systematic Examination of Preference Learning through the Lens of Instruction-Following
NAACL 2025
Law of the Weakest Link: Cross Capabilities of Large Language Models
ICLR 2025
Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models
ICLR 2025
SCE: Semantic Consistency Enhanced Reinforcement Learning for Multi-Hop Knowledge Graph Reasoning
EMNLP 2025
Self-Generated Critiques Boost Reward Modeling for Language Models
NAACL 2025
Effective Long-Context Scaling of Foundation Models
NAACL 2024
Jack of All Tasks Master of Many: Designing General-Purpose Coarse-to-Fine Vision-Language Model
CVPR 2024
MART: Improving LLM Safety with Multi-round Automatic Red-Teaming
NAACL 2024
Multi-level Relational Learning with Synergistic Graphs for Multivariate Time Series Forecasting
ACML 2024
Synergetic Interaction Network with Cross-task Attention for Joint Relational Triple Extraction
COLING 2024
Synergistic Anchored Contrastive Pre-training for Few-Shot Relation Extraction
AAAI 2024
A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models
ACL 2023
Co-training and Co-distillation for Quality Improvement and Compression of Language Models
EMNLP 2023
Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefix
EMNLP 2023
Progressive Prompts: Continual Learning for Language Models
ICLR 2023
Query Rewriting for Effective Misinformation Discovery
IJCNLP 2023
Residual Prompt Tuning: improving prompt tuning with residual reparameterization
ACL 2023
RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training
EMNLP 2023
XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models
EMNLP 2023
IDPG: An Instance-Dependent Prompt Generation Method
NAACL 2022
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning
ACL 2022
Measuring the Utilization of Public Open Spaces by Deep Learning: a Benchmark Study at the Detroit Riverfront
WACV 2020
Real-Time Panoptic Segmentation From Dense Detections
CVPR 2020
Semantically-Guided Representation Learning for Self-Supervised Monocular Depth
ICLR 2020
Tube Convolutional Neural Network (T-CNN) for Action Detection in Videos
ICCV 2017