Jun Wu
33 papers · 2019–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (9) 🏃 Academic Marathon (6) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (11)
🌍
Conference Polyglot
(9)
🏃
Academic Marathon
(6)
🌈
Renaissance Researcher
(10)
🏆
Keyword Champion
(2)
🔥
Unstoppable
(7)
💎
Century Club
(31)
⚡
Prolific Year
(9)
📈
Trend Setter
🗃️
Keyword Collector
(159)
Conferences
AAAI (17)
IJCAI (4)
ICML (3)
AISTATS (2)
ICCV (2)
NIPS (2)
ACL (1)
EMNLP (1)
UAI (1)
Top co-authors
Research topics
Keywords
transfer learning
(6)
combinatorial optimization
(3)
causal inference
(3)
recommender system
(2)
evolutionary algorithm
(2)
non-iid datum
(2)
neural architecture search
(2)
graph theory
(2)
semi-supervised learning
(2)
adversarial robustness
(2)
contrastive learning
(2)
listwise ranking
(2)
catastrophic forgetting
(2)
recommendation system
(2)
domain adaptation
(2)
knowledge transfer
(2)
link prediction
(2)
federated learning
(2)
distribution shift
(2)
hash coding
(2)
Papers
Multi-Modal Style Transfer-based Prompt Tuning for Efficient Federated Domain Generalization
AAAI 2026
Model-Agnostic Sentiment Distribution Stability Analysis for Robust LLM-Generated Texts Detection
AAAI 2026
Top-one Recommendation with Anonymous User Behaviors (Student Abstract)
AAAI 2025
KGCRR: An Effective Metric-Driven Knowledge Graph Completion Framework by Designing a Novel Upper Bound Function with Adaptive Approximation to Reciprocal Rank
AAAI 2025
Addressing Cold-Start Problem in Click-Through Rate Prediction via Supervised Diffusion Modeling
AAAI 2025
Towards Trustworthy Machine Learning Under Distribution Shifts
AAAI 2025
Alleviating Dual Biases in Recommendation (Student Abstract)
AAAI 2025
SGDPO: Self-Guided Direct Preference Optimization for Language Model Alignment
ACL 2025
Invariant Link Selector for Spatial-Temporal Out-of-Distribution Problem
AISTATS 2025
BackSlash: Rate Constrained Optimized Training of Large Language Models
ICML 2025
LensLLM: Unveiling Fine-Tuning Dynamics for LLM Selection
ICML 2025
Optimizing Recall in Deep Graph Hashing Framework for Item Retrieval (Student Abstract)
AAAI 2024
A Lightweight U-like Network Utilizing Neural Memory Ordinary Differential Equations for Slimming the Decoder
IJCAI 2024
BOBA: Byzantine-Robust Federated Learning with Label Skewness
AISTATS 2024
PSC: Extending Context Window of Large Language Models via Phase Shift Calibration
EMNLP 2024
CTO-SLAM: Contour Tracking for Object-Level Robust 4D SLAM
AAAI 2024
Optimizing the Collaboration Structure in Cross-Silo Federated Learning
ICML 2023
PADCLIP: Pseudo-labeling with Adaptive Debiasing in CLIP for Unsupervised Domain Adaptation
ICCV 2023
Non-IID Transfer Learning on Graphs
AAAI 2023
Graph-Structured Gaussian Processes for Transferable Graph Learning
NIPS 2023
Semi-supervised Review-Aware Rating Regression (Student Abstract)
AAAI 2023
Distribution-Informed Neural Networks for Domain Adaptation Regression
NIPS 2022
A Hybrid Evolutionary Algorithm for the Diversified Top-k Weight Clique Search Problem (Student Abstract)
AAAI 2022
Discrete Listwise Personalized Ranking for Fast Top-N Recommendation with Implicit Feedback
IJCAI 2022
A Unified Meta-Learning Framework for Dynamic Transfer Learning
IJCAI 2022
HEA-D: A Hybrid Evolutionary Algorithm for Diversified Top-k Weight Clique Search Problem
IJCAI 2022
Fitting the Search Space of Weight-sharing NAS with Graph Convolutional Networks
AAAI 2021
Semi-Discrete Social Recommendation (Student Abstract)
AAAI 2021
Local Search for Diversified Top-k s-plex Search Problem (Student Abstract)
AAAI 2021
DeHiB: Deep Hidden Backdoor Attack on Semi-supervised Learning via Adversarial Perturbation
AAAI 2021
Structure Learning for Cyclic Linear Causal Models
UAI 2020
A Multi-Unit Profit Competitive Mechanism for Cellular Traffic Offloading
AAAI 2020
Progressive Differentiable Architecture Search: Bridging the Depth Gap Between Search and Evaluation
ICCV 2019