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Peng Wu

36 papers · 2019–2026 · 11 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (6) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (12)
🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (57) 🀝 Dynamic Duo (11) πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ† Grand Slam πŸ’Ž Century Club (34) ⚑ Prolific Year (11) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (139) πŸ”₯ 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)

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