Jie Lu
34 papers · 2009–2026 · 14 conferences · across top CS/AI conferences
Achievements
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🌈 Renaissance Researcher (8) 🏃 Academic Marathon (16) 🌍 Conference Polyglot (14) 🐝 Cross-Pollinator (11) 🌉 Interdisciplinary Bridge
🐣
Hot Topic Early Bird
🌍
Conference Polyglot
(14)
🏃
Academic Marathon
(16)
👥
Mega-Team
(25)
🏆
Grand Slam
🤝
Dynamic Duo
(12)
🏆
Keyword Champion
(5)
💎
Century Club
(29)
🚀
Conference Pioneer
❓
The Questioner
(2)
⚡
Prolific Year
(10)
🗃️
Keyword Collector
(114)
🔥
Unstoppable
(6)
Conferences
AAAI (8)
IJCAI (5)
ICLR (3)
ICML (3)
NIPS (3)
ACL (2)
ICCV (2)
UAI (2)
AISTATS (1)
EMNLP (1)
IJCNLP (1)
JMLR (1)
MICCAI (1)
NSDI (1)
Top co-authors
Keywords
concept drift
(5)
out-of-distribution detection
(4)
representation learning
(4)
drift detection
(3)
pac learning
(2)
continual learning
(2)
graph neural network
(2)
gaussian mixture model
(2)
distribution shift
(2)
large language model
(2)
data stream
(2)
knowledge distillation
(1)
feature distribution
(1)
question answering
(1)
density estimation
(1)
multi-agent reinforcement learning
(1)
deep reinforcement learning
(1)
change detection
(1)
partial label learning
(1)
ensemble learning
(1)
Papers
Autonomous Concept Drift Threshold Determination
AAAI 2026
Discovering Mixture Skills for Unsupervised Reinforcement Learning
AAAI 2026
TPA: Next Token Probability Attribution for Detecting Hallucinations in RAG
ACL 2026
Drift-aware Collaborative Assistance Mixture of Experts for Heterogeneous Multistream Learning
AAAI 2026
PARS: Partial-Label-Learning-inspired Recommender Systems
AAAI 2026
HetGCoT: Heterogeneous Graph-Enhanced Chain-of-Thought LLM Reasoning for Academic Question Answering
EMNLP 2025
Bridging the Gap between Variational Inference and Stochastic Gradient MCMC in Function Space
ICLR 2025
On the Provable Importance of Gradients for Autonomous Language-Assisted Image Clustering
ICCV 2025
Adapting Multi-modal Large Language Model to Concept Drift From Pre-training Onwards
ICLR 2025
Release the Powers of Prompt Tuning: Cross-Modality Prompt Transfer
ICLR 2025
Early Concept Drift Detection via Prediction Uncertainty
AAAI 2025
Functional Stochastic Gradient MCMC for Bayesian Neural Networks
AISTATS 2025
Knowledge Distillation with Auxiliary Variable
ICML 2024
Learning to Shape In-distribution Feature Space for Out-of-distribution Detection
NIPS 2024
Online Boosting Adaptive Learning under Concept Drift for Multistream Classification
AAAI 2024
Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning
IJCAI 2024
A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points
IJCAI 2024
On the Learnability of Out-of-distribution Detection
JMLR 2024
GMM-CoRegNet: A Multimodal Groupwise Registration Framework Based on Gaussian Mixture Model
MICCAI 2024
LuoShen: A Hyper-Converged Programmable Gateway for Multi-Tenant Multi-Service Edge Clouds
NSDI 2024
Functional Wasserstein Bridge Inference for Bayesian Deep Learning
UAI 2024
Functional Wasserstein Variational Policy Optimization
UAI 2024
Meta OOD Learning For Continuously Adaptive OOD Detection
ICCV 2023
Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples
AAAI 2022
Is Out-of-Distribution Detection Learnable?
NIPS 2022
How Does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches?
AAAI 2021
Learning Bounds for Open-Set Learning
ICML 2021
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data
NIPS 2021
Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation
IJCAI 2020
Learning Deep Kernels for Non-Parametric Two-Sample Tests
ICML 2020
Regional Concept Drift Detection and Density Synchronized Drift Adaptation
IJCAI 2017
Improving Topic Model Stability for Effective Document Exploration
IJCAI 2016
Summarizing Definition from Wikipedia
IJCNLP 2009
Summarizing Definition from Wikipedia
ACL 2009