Yutong Lu
15 papers · 2020–2026 · 9 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
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πΊοΈ Taxonomy Completionist (25) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze
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Grand Slam
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Renaissance Researcher
(5)
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Century Club Β· Bronze
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Keyword Collector
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Research topics
Machine Learning
(10)
Deep Learning
(7)
Core Methods
(7)
Artificial Intelligence
(5)
Architectures
(5)
Application Areas
(4)
Models
(4)
Core AI
(3)
Learning Types
(3)
Learning Paradigms
(2)
Computer Science
(1)
Healthcare & Medicine
(1)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Applications
(1)
Keywords
equivariant diffusion
(2)
molecular property prediction
(2)
graph neural network
(2)
contrastive learning
(2)
transfer learning
(2)
crystal structure prediction
(2)
neural network training
(1)
semi-supervised learning
(1)
reinforcement learning
(1)
uncertainty quantification
(1)
knowledge distillation
(1)
multimodal learning
(1)
fine-grained classification
(1)
question generation
(1)
ensemble learning
(1)
catastrophic forgetting
(1)
multi-objective optimization
(1)
weather prediction
(1)
generative model
(1)
machine learning
(1)
Papers
Efficient LLM Serving on Commodity GPU Clusters with Data-Reduced Cross-Instance Orchestration
OSDI 2026
FLARE: Fine-Grained Length-Aware Routing for Resource-Efficient Heterogeneous LLM Serving
ACL 2026
FUSION: Dataset Pruning via Fusing Uncertainty with Structural Information for Optimal Neural Training in Crystal Property Prediction
AAAI 2026
AllGCD: Leveraging All Unlabeled Data for Generalized Category Discovery
ICCV 2025
CFDONEval: A Comprehensive Evaluation of Operator-Learning Neural Network Models for Computational Fluid Dynamics
IJCAI 2025
CL-MFAP: A Contrastive Learning-Based Multimodal Foundation Model for Molecular Property Prediction and Antibiotic Screening
ICLR 2025
ECD: A Machine Learning Benchmark for Predicting Enhanced-Precision Electronic Charge Density in Crystalline Inorganic Materials
ICLR 2025
Equivariant Diffusion for Crystal Structure Prediction
ICML 2024
Learning Superconductivity from Ordered and Disordered Material Structures
NeurIPS 2024
Solving the Catastrophic Forgetting Problem in Generalized Category Discovery
CVPR 2024
Crystal Structure Prediction by Joint Equivariant Diffusion
NeurIPS 2023
Multi-Layer Networks for Ensemble Precipitation Forecasts Postprocessing
AAAI 2021
Self-Motivated Communication Agent for Real-World Vision-Dialog Navigation
ICCV 2021
Communicative Representation Learning on Attributed Molecular Graphs
IJCAI 2020
Phishing Scam Detection on Ethereum: Towards Financial Security for Blockchain Ecosystem
IJCAI 2020