Wei Gao
103 papers · 2005–2026 · 22 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 23 separate collaboration groups - the largest holds only 33% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Wei Gao?
11 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Zhi-Hua Zhou, Wei Wang, Lunxi Cao
19 papers
· 2011–2026
· IJCAI, ICML, NeurIPS
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RollArt: Disaggregated Multi-Task Agentic RL Training at Scale
OSDI 2026
RollPacker: Taming Long-Tail Rollouts for RL Post-Training with Tail Batching
NSDI 2026
Weave: Efficient Co-Scheduling for Disaggregated RL Post-Training
OSDI 2026
On the Diversity of Adversarial Ensemble Learning
ICML 2025
One-Pass Feature Evolvable Learning with Theoretical Guarantees
ICML 2025
On the Gini-impurity Preservation For Privacy Random Forests
NeurIPS 2023
Fast Provably Robust Decision Trees and Boosting
ICML 2022
Learning with Interactive Models over
Decision-Dependent Distributions
ACML 2022
On the Optimization of Margin Distribution
IJCAI 2022
Towards Convergence Rate Analysis of Random Forests for Classification
NeurIPS 2020
Tri-net for Semi-Supervised Deep Learning
IJCAI 2018
Unorganized Malicious Attacks Detection
NeurIPS 2018
Efficient Label Contamination Attacks Against Black-Box Learning Models
IJCAI 2017
Learnability of Non-I.I.D.
ACML 2016
On the Consistency of AUC Pairwise Optimization
IJCAI 2015
One-Pass Multi-View Learning
ACML 2015
One-Pass AUC Optimization
ICML 2013
Uniform Convergence, Stability and Learnability for Ranking Problems
IJCAI 2013
On the Consistency of Multi-Label Learning
COLT 2011
12 papers whose co-authors appear nowhere else under this name
On the Learning with Augmented Class via Forests
IJCAI 2025
ProMind-LLM: Proactive Mental Health Care via Causal Reasoning with Sensor Data
ACL 2025
Text-Driven Fashion Image Editing with Compositional Concept Learning and Counterfactual Abduction
CVPR 2025
End-to-End RGB-D Image Compression via Exploiting Channel-Modality Redundancy
AAAI 2024
Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation
ICLR 2024
On the Exploration of Local Significant Differences For Two-Sample Test
NeurIPS 2023
DialMed: A Dataset for Dialogue-based Medication Recommendation
COLING 2022
Improving Transferability of Adversarial Patches on Face Recognition With Generative Models
CVPR 2021
TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization
ICCV 2021
Fast Video Multi-Style Transfer
WACV 2020
A Contrast Function and Algorithm for Blind Separation of Audio Signals
Interspeech 2017
Generating Aspect-oriented Multi-Document Summarization with Event-aspect model
EMNLP 2011