Zhu, Wenwu

84 publications

ICML 2025 AutoGFM: Automated Graph Foundation Model with Adaptive Architecture Customization Haibo Chen, Xin Wang, Zeyang Zhang, Haoyang Li, Ling Feng, Wenwu Zhu

AAAI 2025 Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation Chendi Ge, Xin Wang, Ziwei Zhang, Yijian Qin, Hong Chen, Haiyang Wu, Yang Zhang, Yuekui Yang, Wenwu Zhu

ICML 2025 Disentangling Invariant Subgraph via Variance Contrastive Estimation Under Distribution Shifts Haoyang Li, Xin Wang, Xueling Zhu, Weigao Wen, Wenwu Zhu

ICML 2025 Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning Chendi Ge, Xin Wang, Zeyang Zhang, Hong Chen, Jiapei Fan, Longtao Huang, Hui Xue, Wenwu Zhu

AAAI 2025 Identity-Text Video Corpus Grounding Bin Huang, Xin Wang, Hong Chen, Houlun Chen, Yaofei Wu, Wenwu Zhu

AAAI 2025 JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration Mingzi Wang, Yuan Meng, Chen Tang, Weixiang Zhang, Yijian Qin, Yang Yao, Yingxin Li, Tongtong Feng, Xin Wang, Xun Guan, Zhi Wang, Wenwu Zhu

AAAI 2025 Modular-Cam: Modular Dynamic Camera-View Video Generation with LLM Zirui Pan, Xin Wang, Yipeng Zhang, Hong Chen, Kwan Man Cheng, Yaofei Wu, Wenwu Zhu

ICML 2025 Modularized Self-Reflected Video Reasoner for Multimodal LLM with Application to Video Question Answering Zihan Song, Xin Wang, Zi Qian, Hong Chen, Longtao Huang, Hui Xue, Wenwu Zhu

NeurIPS 2025 Out-of-Distribution Generalized Graph Anomaly Detection with Homophily-Aware Environment Mixup Sibo Tian, Xin Wang, Zeyang Zhang, Haibo Chen, Wenwu Zhu

CVPR 2025 Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers Lei Chen, Yuan Meng, Chen Tang, Xinzhu Ma, Jingyan Jiang, Xin Wang, Zhi Wang, Wenwu Zhu

ICML 2025 Self-Supervised Masked Graph Autoencoder via Structure-Aware Curriculum Haoyang Li, Xin Wang, Zeyang Zhang, Zongyuan Wu, Linxin Xiao, Wenwu Zhu

CVPR 2025 Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards Zijing Hu, Fengda Zhang, Long Chen, Kun Kuang, Jiahui Li, Kaifeng Gao, Jun Xiao, Xin Wang, Wenwu Zhu

ICML 2024 CurBench: Curriculum Learning Benchmark Yuwei Zhou, Zirui Pan, Xin Wang, Hong Chen, Haoyang Li, Yanwen Huang, Zhixiao Xiong, Fangzhou Xiong, Peiyang Xu, Shengnan Liu, Wenwu Zhu

AAAI 2024 Data-Augmented Curriculum Graph Neural Architecture Search Under Distribution Shifts Yang Yao, Xin Wang, Yijian Qin, Ziwei Zhang, Wenwu Zhu, Hong Mei

ICLR 2024 DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation Hong Chen, Yipeng Zhang, Simin Wu, Xin Wang, Xuguang Duan, Yuwei Zhou, Wenwu Zhu

ICML 2024 Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet Zeyang Zhang, Xin Wang, Yijian Qin, Hong Chen, Ziwei Zhang, Xu Chu, Wenwu Zhu

ICML 2024 Disentangled Graph Self-Supervised Learning for Out-of-Distribution Generalization Haoyang Li, Xin Wang, Zeyang Zhang, Haibo Chen, Ziwei Zhang, Wenwu Zhu

AAAI 2024 Multimodal Graph Neural Architecture Search Under Distribution Shifts Jie Cai, Xin Wang, Haoyang Li, Ziwei Zhang, Wenwu Zhu

ECCV 2024 Post-Training Quantization with Progressive Calibration and Activation Relaxing for Text-to-Image Diffusion Models Siao Tang, Xin Wang, Hong Chen, Chaoyu Guan, Zewen Wu, Yansong Tang, Wenwu Zhu

CVPR 2024 Retraining-Free Model Quantization via One-Shot Weight-Coupling Learning Chen Tang, Yuan Meng, Jiacheng Jiang, Shuzhao Xie, Rongwei Lu, Xinzhu Ma, Zhi Wang, Wenwu Zhu

NeurIPS 2024 VERIFIED: A Video Corpus Moment Retrieval Benchmark for Fine-Grained Video Understanding Houlun Chen, Xin Wang, Hong Chen, Zeyang Zhang, Wei Feng, Bin Huang, Jia Jia, Wenwu Zhu

CVPR 2024 VTimeLLM: Empower LLM to Grasp Video Moments Bin Huang, Xin Wang, Hong Chen, Zihan Song, Wenwu Zhu

CVPR 2023 Adversarially Robust Neural Architecture Search for Graph Neural Networks Beini Xie, Heng Chang, Ziwei Zhang, Xin Wang, Daixin Wang, Zhiqiang Zhang, Rex Ying, Wenwu Zhu

ICLR 2023 AutoGT: Automated Graph Transformer Architecture Search Zizhao Zhang, Xin Wang, Chaoyu Guan, Ziwei Zhang, Haoyang Li, Wenwu Zhu

ICML 2023 Curriculum Co-Disentangled Representation Learning Across Multiple Environments for Social Recommendation Xin Wang, Zirui Pan, Yuwei Zhou, Hong Chen, Chendi Ge, Wenwu Zhu

IJCAI 2023 Curriculum Graph Machine Learning: A Survey Haoyang Li, Xin Wang, Wenwu Zhu

AAAI 2023 Curriculum Multi-Negative Augmentation for Debiased Video Grounding Xiaohan Lan, Yitian Yuan, Hong Chen, Xin Wang, Zequn Jie, Lin Ma, Zhi Wang, Wenwu Zhu

ICCV 2023 Decouple Before Interact: Multi-Modal Prompt Learning for Continual Visual Question Answering Zi Qian, Xin Wang, Xuguang Duan, Pengda Qin, Yuhong Li, Wenwu Zhu

AAAI 2023 Dynamic Heterogeneous Graph Attention Neural Architecture Search Zeyang Zhang, Ziwei Zhang, Xin Wang, Yijian Qin, Zhou Qin, Wenwu Zhu

NeurIPS 2023 Fused Gromov-Wasserstein Graph Mixup for Graph-Level Classifications Xinyu Ma, Xu Chu, Yasha Wang, Yang Lin, Junfeng Zhao, Liantao Ma, Wenwu Zhu

NeurIPSW 2023 Graph Meets LLMs: Towards Large Graph Models Ziwei Zhang, Haoyang Li, Zeyang Zhang, Yijian Qin, Xin Wang, Wenwu Zhu

CVPR 2023 Improving Generalization of Meta-Learning with Inverted Regularization at Inner-Level Lianzhe Wang, Shiji Zhou, Shanghang Zhang, Xu Chu, Heng Chang, Wenwu Zhu

NeurIPS 2023 Joint Data-Task Generation for Auxiliary Learning Hong Chen, Xin Wang, Yuwei Zhou, Yijian Qin, Chaoyu Guan, Wenwu Zhu

ICLR 2023 Multi-Objective Online Learning Jiyan Jiang, Wenpeng Zhang, Shiji Zhou, Lihong Gu, Xiaodong Zeng, Wenwu Zhu

NeurIPS 2023 Multi-Task Graph Neural Architecture Search with Task-Aware Collaboration and Curriculum Yijian Qin, Xin Wang, Ziwei Zhang, Hong Chen, Wenwu Zhu

NeurIPS 2023 Spectral Invariant Learning for Dynamic Graphs Under Distribution Shifts Zeyang Zhang, Xin Wang, Ziwei Zhang, Zhou Qin, Weigao Wen, Hui Xue', Haoyang Li, Wenwu Zhu

NeurIPS 2023 Unsupervised Graph Neural Architecture Search with Disentangled Self-Supervision Zeyang Zhang, Xin Wang, Ziwei Zhang, Guangyao Shen, Shiqi Shen, Wenwu Zhu

ICML 2023 Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks Xu Chu, Yujie Jin, Xin Wang, Shanghang Zhang, Yasha Wang, Wenwu Zhu, Hong Mei

AISTATS 2022 Online Continual Adaptation with Active Self-Training Shiji Zhou, Han Zhao, Shanghang Zhang, Lianzhe Wang, Heng Chang, Zhi Wang, Wenwu Zhu

ICML 2022 Auxiliary Learning with Joint Task and Data Scheduling Hong Chen, Xin Wang, Chaoyu Guan, Yue Liu, Wenwu Zhu

ICML 2022 DNA: Domain Generalization with Diversified Neural Averaging Xu Chu, Yujie Jin, Wenwu Zhu, Yasha Wang, Xin Wang, Shanghang Zhang, Hong Mei

IJCAI 2022 Domain Generalization Through the Lens of Angular Invariance Yujie Jin, Xu Chu, Yasha Wang, Wenwu Zhu

NeurIPS 2022 Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift Zeyang Zhang, Xin Wang, Ziwei Zhang, Haoyang Li, Zhou Qin, Wenwu Zhu

ICML 2022 Graph Neural Architecture Search Under Distribution Shifts Yijian Qin, Xin Wang, Ziwei Zhang, Pengtao Xie, Wenwu Zhu

ICML 2022 Large-Scale Graph Neural Architecture Search Chaoyu Guan, Xin Wang, Hong Chen, Ziwei Zhang, Wenwu Zhu

NeurIPS 2022 Learning Invariant Graph Representations for Out-of-Distribution Generalization Haoyang Li, Ziwei Zhang, Xin Wang, Wenwu Zhu

AAAI 2022 Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum Zeyang Zhang, Ziwei Zhang, Xin Wang, Wenwu Zhu

ECCV 2022 Mixed-Precision Neural Network Quantization via Learned Layer-Wise Importance Chen Tang, Kai Ouyang, Zhi Wang, Yifei Zhu, Wen Ji, Yaowei Wang, Wenwu Zhu

NeurIPS 2022 Module-Aware Optimization for Auxiliary Learning Hong Chen, Xin Wang, Yue Liu, Yuwei Zhou, Chaoyu Guan, Wenwu Zhu

NeurIPS 2022 NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search Yijian Qin, Ziwei Zhang, Xin Wang, Zeyang Zhang, Wenwu Zhu

NeurIPS 2022 On the Convergence of Stochastic Multi-Objective Gradient Manipulation and Beyond Shiji Zhou, Wenpeng Zhang, Jiyan Jiang, Wenliang Zhong, Jinjie Gu, Wenwu Zhu

ICML 2022 Parametric Visual Program Induction with Function Modularization Xuguang Duan, Xin Wang, Ziwei Zhang, Wenwu Zhu

NeurIPS 2021 Asynchronous Decentralized Online Learning Jiyan Jiang, Wenpeng Zhang, Jinjie Gu, Wenwu Zhu

ICML 2021 AutoAttend: Automated Attention Representation Search Chaoyu Guan, Xin Wang, Wenwu Zhu

ICLRW 2021 AutoGL: A Library for Automated Graph Learning Chaoyu Guan, Ziwei Zhang, Haoyang Li, Heng Chang, Zeyang Zhang, Yijian Qin, Jiyan Jiang, Xin Wang, Wenwu Zhu

IJCAI 2021 Automated Machine Learning on Graphs: A Survey Ziwei Zhang, Xin Wang, Wenwu Zhu

NeurIPS 2021 Curriculum Disentangled Recommendation with Noisy Multi-Feedback Hong Chen, Yudong Chen, Xin Wang, Ruobing Xie, Rui Wang, Feng Xia, Wenwu Zhu

NeurIPS 2021 Disentangled Contrastive Learning on Graphs Haoyang Li, Xin Wang, Ziwei Zhang, Zehuan Yuan, Hang Li, Wenwu Zhu

ICML 2021 Explainable Automated Graph Representation Learning with Hyperparameter Importance Xin Wang, Shuyi Fan, Kun Kuang, Wenwu Zhu

NeurIPS 2021 Graph Differentiable Architecture Search with Structure Learning Yijian Qin, Xin Wang, Zeyang Zhang, Wenwu Zhu

NeurIPS 2021 Not All Low-Pass Filters Are Robust in Graph Convolutional Networks Heng Chang, Yu Rong, Tingyang Xu, Yatao Bian, Shiji Zhou, Xin Wang, Junzhou Huang, Wenwu Zhu

AAAI 2021 Power up! Robust Graph Convolutional Network via Graph Powering Ming Jin, Heng Chang, Wenwu Zhu, Somayeh Sojoudi

AAAI 2020 A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Wenwu Zhu, Junzhou Huang

CVPRW 2020 Fast Hardware-Aware Neural Architecture Search Li Lyna Zhang, Yuqing Yang, Yuhang Jiang, Wenwu Zhu, Yunxin Liu

NeurIPS 2020 Implicit Graph Neural Networks Fangda Gu, Heng Chang, Wenwu Zhu, Somayeh Sojoudi, Laurent El Ghaoui

AAAI 2020 Preserving Ordinal Consensus: Towards Feature Selection for Unlabeled Data Jun Guo, Heng Chang, Wenwu Zhu

AAAI 2019 Discrete Social Recommendation Chenghao Liu, Xin Wang, Tao Lu, Wenwu Zhu, Jianling Sun, Steven C. H. Hoi

ICML 2019 Disentangled Graph Convolutional Networks Jianxin Ma, Peng Cui, Kun Kuang, Xin Wang, Wenwu Zhu

IJCAI 2019 Disparity-Preserved Deep Cross-Platform Association for Cross-Platform Video Recommendation Shengze Yu, Xin Wang, Wenwu Zhu, Peng Cui, Jingdong Wang

NeurIPS 2019 Learning Disentangled Representations for Recommendation Jianxin Ma, Chang Zhou, Peng Cui, Hongxia Yang, Wenwu Zhu

NeurIPS 2019 Semantic Conditioned Dynamic Modulation for Temporal Sentence Grounding in Videos Yitian Yuan, Lin Ma, Jingwen Wang, Wei Liu, Wenwu Zhu

AAAI 2019 To Find Where You Talk: Temporal Sentence Localization in Video with Attention Based Location Regression Yitian Yuan, Tao Mei, Wenwu Zhu

AAAI 2018 Deep Asymmetric Transfer Network for Unbalanced Domain Adaptation Daixin Wang, Peng Cui, Wenwu Zhu

AAAI 2018 Dependence Guided Unsupervised Feature Selection Jun Guo, Wenwu Zhu

AAAI 2018 DepthLGP: Learning Embeddings of Out-of-Sample Nodes in Dynamic Networks Jianxin Ma, Peng Cui, Wenwu Zhu

AAAI 2018 Partial Multi-View Outlier Detection Based on Collective Learning Jun Guo, Wenwu Zhu

AAAI 2018 Structural Deep Embedding for Hyper-Networks Ke Tu, Peng Cui, Xiao Wang, Fei Wang, Wenwu Zhu

AAAI 2018 TIMERS: Error-Bounded SVD Restart on Dynamic Networks Ziwei Zhang, Peng Cui, Jian Pei, Xiao Wang, Wenwu Zhu

NeurIPS 2018 Weakly Supervised Dense Event Captioning in Videos Xuguang Duan, Wenbing Huang, Chuang Gan, Jingdong Wang, Wenwu Zhu, Junzhou Huang

AAAI 2017 Community Preserving Network Embedding Xiao Wang, Peng Cui, Jing Wang, Jian Pei, Wenwu Zhu, Shiqiang Yang

IJCAI 2017 Depression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution Guangyao Shen, Jia Jia, Liqiang Nie, Fuli Feng, Cunjun Zhang, Tianrui Hu, Tat-Seng Chua, Wenwu Zhu

ICML 2017 Projection-Free Distributed Online Learning in Networks Wenpeng Zhang, Peilin Zhao, Wenwu Zhu, Steven C. H. Hoi, Tong Zhang

IJCAI 2015 Deep Multimodal Hashing with Orthogonal Regularization Daixin Wang, Peng Cui, Mingdong Ou, Wenwu Zhu

AAAI 2015 Probabilistic Attributed Hashing Mingdong Ou, Peng Cui, Jun Wang, Fei Wang, Wenwu Zhu