Peng Wu
36 papers · 2019–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (11) π Academic Marathon (6) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (12)
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Cross-Pollinator
(12)
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Renaissance Researcher
(8)
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Taxonomy Completionist
(57)
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Dynamic Duo
(11)
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Triple Crown
π§¬
Topic Evolution
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Grand Slam
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Century Club
(34)
β‘
Prolific Year
(11)
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The Questioner
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Keyword Collector
(139)
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Unstoppable
(5)
Conferences
AAAI (8)
CVPR (5)
ICML (5)
ECCV (4)
ICLR (4)
NIPS (3)
ACL (2)
IJCAI (2)
EMNLP (1)
ICCV (1)
L4DC (1)
Top co-authors
Keywords
causal inference
(6)
video anomaly detection
(6)
recommender system
(4)
representation learning
(3)
propensity score
(3)
weakly supervised learning
(2)
multi-objective optimization
(2)
recommendation system
(2)
large language model
(2)
compositional zero-shot learning
(2)
group fairness
(2)
policy learning
(2)
vision-language model
(2)
knowledge distillation
(1)
multi-task learning
(1)
sequential decision making
(1)
open-vocabulary detection
(1)
adversarial learning
(1)
anomaly detection
(1)
cross-modal learning
(1)
Papers
TargetVAU: Multimodal Anomaly-Aware Reasoning for Target Behavior Understanding in Videos
AAAI 2026
MoFu: Scale-Aware Modulation and Fourier Fusion for Multi-Subject Video Generation
AAAI 2026
LOGICZSL: Exploring Logic-induced Representation for Compositional Zero-shot Learning
CVPR 2025
Federated Posterior Sharing for Multi-Agent Systems in Uncertain Environments
L4DC 2025
Optimal Policy Adaptation Under Covariate Shift
IJCAI 2025
A Conditional Probability Framework for Compositional Zero-shot Learning
ICCV 2025
HVI: A New Color Space for Low-light Image Enhancement
CVPR 2025
VarCMP: Adapting Cross-Modal Pre-Training Models for Video Anomaly Retrieval
AAAI 2025
Can Language Models Capture Human Writing Preferences for Domain-Specific Text Summarization?
ACL 2025
Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors
ECCV 2024
Learning the Optimal Policy for Balancing Short-Term and Long-Term Rewards
NIPS 2024
VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection
AAAI 2024
Text Prompt with Normality Guidance for Weakly Supervised Video Anomaly Detection
CVPR 2024
Open-Vocabulary Video Anomaly Detection
CVPR 2024
Unified Embedding Alignment for Open-Vocabulary Video Instance Segmentation
ECCV 2024
Debiased Collaborative Filtering with Kernel-Based Causal Balancing
ICLR 2024
Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference
ICLR 2024
Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering
ICML 2024
Policy Learning for Balancing Short-Term and Long-Term Rewards
ICML 2024
Local Causal Structure Learning in the Presence of Latent Variables
ICML 2024
Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach
NIPS 2023
Accurate Fairness: Improving Individual Fairness without Trading Accuracy
AAAI 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
CowClip: Reducing CTR Prediction Model Training Time from 12 Hours to 10 Minutes on 1 GPU
AAAI 2023
Propensity Matters: Measuring and Enhancing Balancing for Recommendation
ICML 2023
Trustworthy Policy Learning under the Counterfactual No-Harm Criterion
ICML 2023
Multiple Robust Learning for Recommendation
AAAI 2023
Video Event Restoration Based on Keyframes for Video Anomaly Detection
CVPR 2023
Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach
NIPS 2023
On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges
IJCAI 2022
Dynamic Local Aggregation Network with Adaptive Clusterer for Anomaly Detection
ECCV 2022
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
Not only Look, but also Listen: Learning Multimodal Violence Detection under Weak Supervision
ECCV 2020
Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering
ACL 2019