Wenwu Zhu

Cross-Scale Collaboration between LLMs and Lightweight Sequential Recommenders with Domain-Specific Latent Reasoning AAAI 2026 U2UData+: A Scalable Swarm UAVs Autonomous Flight Dataset for Embodied Long-horizon Tasks AAAI 2026 Disentangling Invariant Subgraph via Variance Contrastive Estimation under Distribution Shifts ICML 2025 Self-supervised Masked Graph Autoencoder via Structure-aware Curriculum ICML 2025 Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning ICML 2025 Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers CVPR 2025 AutoGFM: Automated Graph Foundation Model with Adaptive Architecture Customization ICML 2025 JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration AAAI 2025 Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation AAAI 2025 Modular-Cam: Modular Dynamic Camera-view Video Generation with LLM AAAI 2025 Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards CVPR 2025 Identity-Text Video Corpus Grounding AAAI 2025 Modularized Self-Reflected Video Reasoner for Multimodal LLM with Application to Video Question Answering ICML 2025 VTimeLLM: Empower LLM to Grasp Video Moments CVPR 2024 Multimodal Graph Neural Architecture Search under Distribution Shifts AAAI 2024 Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts AAAI 2024 CurBench: Curriculum Learning Benchmark ICML 2024 Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet ICML 2024 Disentangled Graph Self-supervised Learning for Out-of-Distribution Generalization ICML 2024 DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation ICLR 2024 Post-training Quantization with Progressive Calibration and Activation Relaxing for Text-to-Image Diffusion Models ECCV 2024 VERIFIED: A Video Corpus Moment Retrieval Benchmark for Fine-Grained Video Understanding NIPS 2024 Retraining-Free Model Quantization via One-Shot Weight-Coupling Learning CVPR 2024 Multi-Objective Online Learning ICLR 2023 Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts NIPS 2023 Joint Data-Task Generation for Auxiliary Learning NIPS 2023 Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications NIPS 2023 Multi-task Graph Neural Architecture Search with Task-aware Collaboration and Curriculum NIPS 2023 Unsupervised Graph Neural Architecture Search with Disentangled Self-Supervision NIPS 2023 Curriculum Multi-Negative Augmentation for Debiased Video Grounding AAAI 2023 Dynamic Heterogeneous Graph Attention Neural Architecture Search AAAI 2023 Adversarially Robust Neural Architecture Search for Graph Neural Networks CVPR 2023 Improving Generalization of Meta-Learning With Inverted Regularization at Inner-Level CVPR 2023 Decouple Before Interact: Multi-Modal Prompt Learning for Continual Visual Question Answering ICCV 2023 AutoGT: Automated Graph Transformer Architecture Search ICLR 2023 Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks ICML 2023 Curriculum Co-disentangled Representation Learning across Multiple Environments for Social Recommendation ICML 2023 Curriculum Graph Machine Learning: A Survey IJCAI 2023 Auxiliary Learning with Joint Task and Data Scheduling ICML 2022 DNA: Domain Generalization with Diversified Neural Averaging ICML 2022 Parametric Visual Program Induction with Function Modularization ICML 2022 Large-Scale Graph Neural Architecture Search ICML 2022 Graph Neural Architecture Search Under Distribution Shifts ICML 2022 Domain Generalization through the Lens of Angular Invariance IJCAI 2022 Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum AAAI 2022 Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift NIPS 2022 NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search NIPS 2022 Learning Invariant Graph Representations for Out-of-Distribution Generalization NIPS 2022 On the Convergence of Stochastic Multi-Objective Gradient Manipulation and Beyond NIPS 2022 Mixed-Precision Neural Network Quantization via Learned Layer-Wise Importance ECCV 2022 Module-Aware Optimization for Auxiliary Learning NIPS 2022 Online Continual Adaptation with Active Self-Training AISTATS 2022 Asynchronous Decentralized Online Learning NIPS 2021 Power up! Robust Graph Convolutional Network via Graph Powering AAAI 2021 Automated Machine Learning on Graphs: A Survey IJCAI 2021 Graph Differentiable Architecture Search with Structure Learning NIPS 2021 Curriculum Disentangled Recommendation with Noisy Multi-feedback NIPS 2021 AutoAttend: Automated Attention Representation Search ICML 2021 Explainable Automated Graph Representation Learning with Hyperparameter Importance ICML 2021 Disentangled Contrastive Learning on Graphs NIPS 2021 Not All Low-Pass Filters are Robust in Graph Convolutional Networks NIPS 2021 Preserving Ordinal Consensus: Towards Feature Selection for Unlabeled Data AAAI 2020 Implicit Graph Neural Networks NIPS 2020 A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models AAAI 2020 Semantic Conditioned Dynamic Modulation for Temporal Sentence Grounding in Videos NIPS 2019 To Find Where You Talk: Temporal Sentence Localization in Video with Attention Based Location Regression AAAI 2019 Learning to Learn Image Classifiers With Visual Analogy CVPR 2019 Learning Disentangled Representations for Recommendation NIPS 2019 Disentangled Graph Convolutional Networks ICML 2019 Discrete Social Recommendation AAAI 2019 Disparity-preserved Deep Cross-platform Association for Cross-platform Video Recommendation IJCAI 2019 Weakly Supervised Dense Event Captioning in Videos NIPS 2018 Projection-free Distributed Online Learning in Networks ICML 2017 Depression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution IJCAI 2017 Deep Multimodal Hashing with Orthogonal Regularization IJCAI 2015