Guoren Wang
18 papers · 2020–2026 · 7 venues · across top CS/AI venues
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Achievements
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(7)
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Research topics
Machine Learning
(15)
Artificial Intelligence
(11)
Deep Learning
(11)
Application Areas
(7)
Core AI
(7)
Learning Types Β· Machine Learning
(7)
Learning Types Β· Deep Learning
(6)
Computer Vision
(4)
Architectures
(4)
Core Methods
(4)
Domain-Specific
(3)
Learning Paradigms
(3)
Computer Science
(1)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Keywords
domain adaptation
(3)
knowledge distillation
(3)
trajectory prediction
(2)
model compression
(2)
representation learning
(2)
active learning
(2)
target domain
(2)
autonomous driving
(2)
large language model
(2)
graph neural network
(2)
sample selection
(2)
transfer learning
(2)
machine unlearning
(2)
information bottleneck
(1)
image classification
(1)
interactive learning
(1)
unsupervised learning
(1)
temporal modeling
(1)
uncertainty quantification
(1)
few-shot learning
(1)
Papers
Demystifying Uncertainty in LLMs: Active Calibration between Concepts and Human Evaluations
ACL 2026
DORA: A Dual-Objective Reinforcement Learning Framework for Effective and Efficient Multimodal Agentic Search
ACL 2026
PAGE: A Unified Approach for Federated Graph Unlearning
AAAI 2026
Harnessing Diversity for Important Data Selection in Pretraining Large Language Models
ICLR 2025
Prompt Tuning In a Compact Attribute Space
AAAI 2025
Toward Data-centric Directed Graph Learning: An Entropy-driven Approach
ICML 2025
Keypoint-based Progressive Chain-of-Thought Distillation for LLMs
ICML 2024
LaKD: Length-agnostic Knowledge Distillation for Trajectory Prediction with Any Length Observations
NeurIPS 2024
On the Road to Portability: Compressing End-to-End Motion Planner for Autonomous Driving
CVPR 2024
Towards Effective and General Graph Unlearning via Mutual Evolution
AAAI 2024
BCDiff: Bidirectional Consistent Diffusion for Instantaneous Trajectory Prediction
NeurIPS 2023
Active Learning for Domain Adaptation: An Energy-Based Approach
AAAI 2022
Filtration-Enhanced Graph Transformation
IJCAI 2022
LRSC: Learning Representations for Subspace Clustering
AAAI 2021
Pareto Domain Adaptation
NeurIPS 2021
Unsupervised Active Learning via Subspace Learning
AAAI 2021
On Deep Unsupervised Active Learning
IJCAI 2020
Simultaneous Arrival Matching for New Spatial Crowdsourcing Platforms
IJCAI 2020