Peng Wu
37 papers · 2019–2026 · 11 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 13 separate collaboration groups - the largest holds only 41% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Peng Wu?
3 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 Haoxuan Li, Chunyuan Zheng, Zhi Geng
15 papers
· 2022–2025
· ICML, ICLR, NeurIPS
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Optimal Policy Adaptation Under Covariate Shift
IJCAI 2025
Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference
ICLR 2024
Debiased Collaborative Filtering with Kernel-Based Causal Balancing
ICLR 2024
Learning the Optimal Policy for Balancing Short-Term and Long-Term Rewards
NeurIPS 2024
Local Causal Structure Learning in the Presence of Latent Variables
ICML 2024
Policy Learning for Balancing Short-Term and Long-Term Rewards
ICML 2024
Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering
ICML 2024
Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach
NeurIPS 2023
Multiple Robust Learning for Recommendation
AAAI 2023
Propensity Matters: Measuring and Enhancing Balancing for Recommendation
ICML 2023
Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach
NeurIPS 2023
StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random
ICLR 2023
TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations
ICLR 2023
Trustworthy Policy Learning under the Counterfactual No-Harm Criterion
ICML 2023
On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges
IJCAI 2022
10 papers whose co-authors appear nowhere else under this name
FedAlign: Differentially Private Distribution Alignment for Non-IID Federated Learning
CVPR 2026
MoFu: Scale-Aware Modulation and Fourier Fusion for Multi-Subject Video Generation
AAAI 2026
Can Language Models Capture Human Writing Preferences for Domain-Specific Text Summarization?
ACL 2025
Federated Posterior Sharing for Multi-Agent Systems in Uncertain Environments
L4DC 2025
Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors
ECCV 2024
Accurate Fairness: Improving Individual Fairness without Trading Accuracy
AAAI 2023
CowClip: Reducing CTR Prediction Model Training Time from 12 Hours to 10 Minutes on 1 GPU
AAAI 2023
Optimizing Global Influenza Surveillance for Locations with Deficient Data (Student Abstract)
AAAI 2022
GCDST: A Graph-based and Copy-augmented Multi-domain Dialogue State Tracking
EMNLP 2020
Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering
ACL 2019