Ruijie Wang
9 papers · 2022–2026 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+1 more ↓ Show less ↑
🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (29) 🔥 Unstoppable · Bronze 🌈 Renaissance Researcher (5)
🗃️
Keyword Collector
(55)
Venues
Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(6)
Learning Types · Machine Learning
(6)
Core AI
(5)
Deep Learning
(3)
Learning Types · Deep Learning
(3)
Knowledge & Reasoning
(2)
Natural Language Processing
(2)
Core Methods
(2)
Learning Paradigms
(2)
Representation
(2)
Resources & Methods
(2)
Data Science & Analytics
(1)
Healthcare & Medicine
(1)
Application Areas
(1)
Keywords
large language model
(3)
knowledge graph reasoning
(2)
benchmark evaluation
(1)
variational inference
(1)
curriculum learning
(1)
sampling strategy
(1)
preference learning
(1)
reinforcement learning from human feedback
(1)
direct preference optimization
(1)
self-supervised learning
(1)
data augmentation
(1)
prompt engineering
(1)
multimodal learning
(1)
model robustness
(1)
few-shot learning
(1)
time series
(1)
knowledge graph
(1)
generative model
(1)
dynamic graph
(1)
link prediction
(1)
Papers
LLMTM: Benchmarking and Optimizing LLMs for Temporal Motif Analysis in Dynamic Graphs
AAAI 2026
Aligning Large Language Models with Implicit Preferences from User-Generated Content
ACL 2025
DrAgent: Empowering Large Language Models as Medical Agents for Multi-hop Medical Reasoning
EMNLP 2025
Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training
NAACL 2025
Fine-grained Control of Generative Data Augmentation in IoT Sensing
NeurIPS 2024
FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space
NeurIPS 2023
Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning
ACL 2023
Reconciling Competing Sampling Strategies of Network Embedding
NeurIPS 2023
Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs
NeurIPS 2022