Renzhi Wang
7 papers · 2023–2026 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(28)
Top co-authors
Research topics
Artificial Intelligence
(6)
Core AI
(6)
Machine Learning
(5)
Deep Learning
(4)
Natural Language Processing
(3)
Computer Vision
(2)
Analysis
(2)
Learning Types · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Models
(2)
Optimization & Theory
(2)
Resources & Methods
(2)
Data Science & Analytics
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Keywords
autonomous driving
(2)
diffusion model
(2)
trajectory prediction
(2)
uncertainty quantification
(2)
knowledge editing
(1)
named entity recognition
(1)
catastrophic forgetting
(1)
parameter-efficient fine-tuning
(1)
semantic analysis
(1)
lifelong learning
(1)
motion forecasting
(1)
semantic representation
(1)
model editing
(1)
information entropy
(1)
text generation
(1)
probabilistic modeling
(1)
long short-term memory
(1)
language model
(1)
continual learning
(1)
representation learning
(1)
Papers
Sampling-Free Uncertainty Quantification via Hidden State Dynamics in Language Models
AAAI 2026
C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory Prediction
AAAI 2025
LEMoE: Advanced Mixture of Experts Adaptor for Lifelong Model Editing of Large Language Models
EMNLP 2024
SaSDim:Self-Adaptive Noise Scaling Diffusion Model for Spatial Time Series Imputation
IJCAI 2024
Semantic are Beacons: A Semantic Perspective for Unveiling Parameter-Efficient Fine-Tuning in Knowledge Learning
ACL 2024
InfoDiffusion: Information Entropy Aware Diffusion Process for Non-Autoregressive Text Generation
EMNLP 2023
WSiP: Wave Superposition Inspired Pooling for Dynamic Interactions-Aware Trajectory Prediction
AAAI 2023