← Authors

Wenwu Zhu

75 papers · 2015–2026 · 9 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (10) 🌈 Renaissance Researcher (5) 🐝 Cross-Pollinator (10) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (15) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (9) 🏠 Conference Loyalist (20) πŸ”¬ Deep Specialist (21) πŸ† Grand Slam 🀝 Dynamic Duo (52) πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (283) ⚑ Prolific Year (15) πŸš€ Conference Pioneer πŸ’Ž Century Club (73) πŸ”₯ Unstoppable (9) πŸ“ˆ Trend Setter

Conferences

NIPS (20) ICML (19) AAAI (16) CVPR (7) IJCAI (6) ICLR (3) ECCV (2) AISTATS (1) ICCV (1)

Top co-authors

Xin Wang (54) Hong Chen (20) Ziwei Zhang (20) Zeyang Zhang (13) Haoyang Li (12) Yijian Qin (10) Heng Chang (8) Chaoyu Guan (7) Xu Chu (6) Peng Cui (6)

Keywords

graph neural network (21) neural architecture search (12) graph neural architecture search (7) curriculum learning (7) domain generalization (6) distribution shift (6) disentangled representation (6) graph representation learning (4) video understanding (4) representation learning (4) multimodal learning (4) gradient descent (3) model compression (3) multi-task learning (3) data augmentation (3) adversarial attack (3) self-supervised learning (3) transfer learning (3) domain adaptation (3) adversarial robustness (3)

Papers

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