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Wenwu Zhu 0001
Person information
- affiliation: Tsinghua University, Department of Computer Science, Beijing, China
Other persons with the same name
- Wenwu Zhu 0002 — Shanghai Normal University, Urban Ecology and Environment Research Center
- Wenwu Zhu 0003 — Strasbourg University Hospital, Research Institute against Digestive Cancer (IRCAD)
- Wenwu Zhu 0004 — Hefei University of Technology, China
- Wenwu Zhu 0005 — Dalian University of Technology, School of Optoelectronic Engineering and Instrumentation Science, China (and 1 more)
- Wenwu Zhu 0006 — Anhui Technical College of Mechanical and Electrical Engineering, Department of Electrical Engineering, Wuhu, China
- Wenwu Zhu 0007 — Beijing Information Science & Technology University, Beijing, China
- Wenwu Zhu 0008 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, State Key Laboratory of Information Photonics and Optical Communications, China
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2020 – today
- 2024
- [j147]Wenwu Zhu:
Editor-in-Chief Message. IEEE Trans. Circuits Syst. Video Technol. 34(2): 662 (2024) - [j146]Hong Chen, Yipeng Zhang, Xin Wang, Xuguang Duan, Yuwei Zhou, Wenwu Zhu:
DisenDreamer: Subject-Driven Text-to-Image Generation With Sample-Aware Disentangled Tuning. IEEE Trans. Circuits Syst. Video Technol. 34(8): 6860-6873 (2024) - [j145]Jie Nie, Xin Wang, Runze Hou, Guohao Li, Hong Chen, Wenwu Zhu:
Dynamic Spatio-Temporal Graph Reasoning for VideoQA With Self-Supervised Event Recognition. IEEE Trans. Image Process. 33: 4145-4158 (2024) - [j144]Xin Wang, Heng Chang, Beini Xie, Tian Bian, Shiji Zhou, Daixin Wang, Zhiqiang Zhang, Wenwu Zhu:
Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification. IEEE Trans. Knowl. Data Eng. 36(5): 2166-2178 (2024) - [j143]Haoyang Li, Ziwei Zhang, Xin Wang, Wenwu Zhu:
Invariant Node Representation Learning under Distribution Shifts with Multiple Latent Environments. ACM Trans. Inf. Syst. 42(1): 26:1-26:30 (2024) - [c286]Jie Cai, Xin Wang, Haoyang Li, Ziwei Zhang, Wenwu Zhu:
Multimodal Graph Neural Architecture Search under Distribution Shifts. AAAI 2024: 8227-8235 - [c285]Yang Yao, Xin Wang, Yijian Qin, Ziwei Zhang, Wenwu Zhu, Hong Mei:
Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts. AAAI 2024: 16433-16441 - [c284]Bin Huang, Xin Wang, Hong Chen, Zihan Song, Wenwu Zhu:
VTimeLLM: Empower LLM to Grasp Video Moments. CVPR 2024: 14271-14280 - [c283]Chen Tang, Yuan Meng, Jiacheng Jiang, Shuzhao Xie, Rongwei Lu, Xinzhu Ma, Zhi Wang, Wenwu Zhu:
Retraining-free Model Quantization via One-Shot Weight-Coupling Learning. CVPR 2024: 15855-15865 - [c282]Haoyang Li, Xin Wang, Ziwei Zhang, Wenwu Zhu:
OOD-GNN: Out-of-Distribution Generalized Graph Neural Network: (Extended Abstract). ICDE 2024: 5681-5682 - [c281]Hong Chen, Yipeng Zhang, Simin Wu, Xin Wang, Xuguang Duan, Yuwei Zhou, Wenwu Zhu:
DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation. ICLR 2024 - [c280]Haoyang Li, Xin Wang, Zeyang Zhang, Haibo Chen, Ziwei Zhang, Wenwu Zhu:
Disentangled Graph Self-supervised Learning for Out-of-Distribution Generalization. ICML 2024 - [c279]Zeyang Zhang, Xin Wang, Yijian Qin, Hong Chen, Ziwei Zhang, Xu Chu, Wenwu Zhu:
Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet. ICML 2024 - [c278]Yuwei Zhou, Zirui Pan, Xin Wang, Hong Chen, Haoyang Li, Yanwen Huang, Zhixiao Xiong, Fangzhou Xiong, Peiyang Xu, Shengnan Liu, Wenwu Zhu:
CurBench: Curriculum Learning Benchmark. ICML 2024 - [c277]Beini Xie, Heng Chang, Ziwei Zhang, Zeyang Zhang, Simin Wu, Xin Wang, Yuan Meng, Wenwu Zhu:
Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification. KDD 2024: 3563-3573 - [c276]Zeyang Zhang, Xin Wang, Ziwei Zhang, Haoyang Li, Yijian Qin, Wenwu Zhu:
LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs? KDD 2024: 4350-4361 - [c275]Yipeng Zhang, Xin Wang, Hong Chen, Jiapei Fan, Weigao Wen, Hui Xue, Hong Mei, Wenwu Zhu:
Large Language Model with Curriculum Reasoning for Visual Concept Recognition. KDD 2024: 6269-6280 - [c274]Xin Wang, Yuwei Zhou, Hong Chen, Wenwu Zhu:
Curriculum Learning: Theories, Approaches, Applications, Tools, and Future Directions in the Era of Large Language Models. WWW (Companion Volume) 2024: 1306-1310 - [i89]Chen Tang, Yuan Meng, Jiacheng Jiang, Shuzhao Xie, Rongwei Lu, Xinzhu Ma, Zhi Wang, Wenwu Zhu:
Retraining-free Model Quantization via One-Shot Weight-Coupling Learning. CoRR abs/2401.01543 (2024) - [i88]Zhihao Yu, Xu Chu, Liantao Ma, Yasha Wang, Wenwu Zhu:
Imputation with Inter-Series Information from Prototypes for Irregular Sampled Time Series. CoRR abs/2401.07249 (2024) - [i87]Zeyang Zhang, Xin Wang, Ziwei Zhang, Zhou Qin, Weigao Wen, Hui Xue, Haoyang Li, Wenwu Zhu:
Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts. CoRR abs/2403.05026 (2024) - [i86]Zeyang Zhang, Xin Wang, Ziwei Zhang, Guangyao Shen, Shiqi Shen, Wenwu Zhu:
Unsupervised Graph Neural Architecture Search with Disentangled Self-supervision. CoRR abs/2403.05064 (2024) - [i85]Yang Yao, Xin Wang, Zeyang Zhang, Yijian Qin, Ziwei Zhang, Xu Chu, Yuekui Yang, Wenwu Zhu, Hong Mei:
Exploring the Potential of Large Language Models in Graph Generation. CoRR abs/2403.14358 (2024) - [i84]Haojun Sun, Chen Tang, Zhi Wang, Yuan Meng, Jingyan Jiang, Xinzhu Ma, Wenwu Zhu:
TMPQ-DM: Joint Timestep Reduction and Quantization Precision Selection for Efficient Diffusion Models. CoRR abs/2404.09532 (2024) - [i83]Hong Chen, Xin Wang, Yipeng Zhang, Yuwei Zhou, Zeyang Zhang, Siao Tang, Wenwu Zhu:
DisenStudio: Customized Multi-subject Text-to-Video Generation with Disentangled Spatial Control. CoRR abs/2405.12796 (2024) - [i82]Peiwen Li, Xin Wang, Zeyang Zhang, Yijian Qin, Ziwei Zhang, Jialong Wang, Yang Li, Wenwu Zhu:
Causal-Aware Graph Neural Architecture Search under Distribution Shifts. CoRR abs/2405.16489 (2024) - [i81]Yijun Liu, Yuan Meng, Fang Wu, Shenhao Peng, Hang Yao, Chaoyu Guan, Chen Tang, Xinzhu Ma, Zhi Wang, Wenwu Zhu:
Evaluating the Generalization Ability of Quantized LLMs: Benchmark, Analysis, and Toolbox. CoRR abs/2406.12928 (2024) - [i80]Beini Xie, Heng Chang, Ziwei Zhang, Zeyang Zhang, Simin Wu, Xin Wang, Yuan Meng, Wenwu Zhu:
Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification. CoRR abs/2406.16357 (2024) - [i79]Lei Chen, Yuan Meng, Chen Tang, Xinzhu Ma, Jingyan Jiang, Xin Wang, Zhi Wang, Wenwu Zhu:
Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers. CoRR abs/2406.17343 (2024) - [i78]Ye Li, Chen Tang, Yuan Meng, Jiajun Fan, Zenghao Chai, Xinzhu Ma, Zhi Wang, Wenwu Zhu:
PRANCE: Joint Token-Optimization and Structural Channel-Pruning for Adaptive ViT Inference. CoRR abs/2407.05010 (2024) - [i77]Wei Feng, Xin Wang, Hong Chen, Zeyang Zhang, Wenwu Zhu:
Multi-sentence Video Grounding for Long Video Generation. CoRR abs/2407.13219 (2024) - [i76]Tongtong Feng, Xin Wang, Feilin Han, Leping Zhang, Wenwu Zhu:
U2UData: A Large-scale Cooperative Perception Dataset for Swarm UAVs Autonomous Flight. CoRR abs/2408.00606 (2024) - [i75]Tongtong Feng, Qing Li, Xin Wang, Mingzi Wang, Guangyao Li, Wenwu Zhu:
Multi-weather Cross-view Geo-localization Using Denoising Diffusion Models. CoRR abs/2408.02408 (2024) - 2023
- [j142]Zhi Wang, Jiangchuan Liu, Wenwu Zhu:
Edge Intelligence-Empowered Immersive Media. IEEE Multim. 30(2): 8-17 (2023) - [j141]Fang Shen, Jialong Wang, Ziwei Zhang, Xin Wang, Yue Li, Zhaowei Geng, Bing Pan, Zengyi Lu, Wendy Zhao, Wenwu Zhu:
Long-term multivariate time series forecasting in data centers based on multi-factor separation evolutionary spatial-temporal graph neural networks. Knowl. Based Syst. 280: 110997 (2023) - [j140]Xin Wang, Hong Chen, Yuwei Zhou, Jianxin Ma, Wenwu Zhu:
Disentangled Representation Learning for Recommendation. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 408-424 (2023) - [j139]Xuguang Duan, Xin Wang, Peilin Zhao, Guangyao Shen, Wenwu Zhu:
DeepLogic: Joint Learning of Neural Perception and Logical Reasoning. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4321-4334 (2023) - [j138]Heng Chang, Jun Guo, Wenwu Zhu:
Rethinking Embedded Unsupervised Feature Selection: A Simple Joint Approach. IEEE Trans. Big Data 9(1): 380-387 (2023) - [j137]Ziwei Zhang, Peng Cui, Jian Pei, Xin Wang, Wenwu Zhu:
Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs. IEEE Trans. Knowl. Data Eng. 35(3): 2544-2555 (2023) - [j136]Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Xin Wang, Wenwu Zhu, Junzhou Huang:
Adversarial Attack Framework on Graph Embedding Models With Limited Knowledge. IEEE Trans. Knowl. Data Eng. 35(5): 4499-4513 (2023) - [j135]Ziwei Zhang, Chenhao Niu, Peng Cui, Jian Pei, Bo Zhang, Wenwu Zhu:
Permutation-Equivariant and Proximity-Aware Graph Neural Networks With Stochastic Message Passing. IEEE Trans. Knowl. Data Eng. 35(6): 6182-6193 (2023) - [j134]Haoyang Li, Xin Wang, Ziwei Zhang, Wenwu Zhu:
OOD-GNN: Out-of-Distribution Generalized Graph Neural Network. IEEE Trans. Knowl. Data Eng. 35(7): 7328-7340 (2023) - [j133]Haoyang Li, Ziwei Zhang, Xin Wang, Wenwu Zhu:
Disentangled Graph Contrastive Learning With Independence Promotion. IEEE Trans. Knowl. Data Eng. 35(8): 7856-7869 (2023) - [j132]Shiji Zhou, Zhi Wang, Chenghao Hu, Yinan Mao, Haopeng Yan, Shanghang Zhang, Chuan Wu, Wenwu Zhu:
Caching in Dynamic Environments: A Near-Optimal Online Learning Approach. IEEE Trans. Multim. 25: 792-804 (2023) - [j131]Xiaohan Lan, Yitian Yuan, Xin Wang, Zhi Wang, Wenwu Zhu:
A Survey on Temporal Sentence Grounding in Videos. ACM Trans. Multim. Comput. Commun. Appl. 19(2): 51:1-51:33 (2023) - [j130]Xuanrong Yao, Xin Wang, Yue Liu, Wenwu Zhu:
Continual Recognition with Adaptive Memory Update. ACM Trans. Multim. Comput. Commun. Appl. 19(3s): 134:1-134:15 (2023) - [j129]Xiaohan Lan, Yitian Yuan, Xin Wang, Long Chen, Zhi Wang, Lin Ma, Wenwu Zhu:
A Closer Look at Debiased Temporal Sentence Grounding in Videos: Dataset, Metric, and Approach. ACM Trans. Multim. Comput. Commun. Appl. 19(6): 218:1-218:23 (2023) - [c273]Xiaohan Lan, Yitian Yuan, Hong Chen, Xin Wang, Zequn Jie, Lin Ma, Zhi Wang, Wenwu Zhu:
Curriculum Multi-Negative Augmentation for Debiased Video Grounding. AAAI 2023: 1213-1221 - [c272]Zeyang Zhang, Ziwei Zhang, Xin Wang, Yijian Qin, Zhou Qin, Wenwu Zhu:
Dynamic Heterogeneous Graph Attention Neural Architecture Search. AAAI 2023: 11307-11315 - [c271]Peiwen Li, Yuan Meng, Xin Wang, Fang Shen, Yue Li, Jialong Wang, Wenwu Zhu:
Causal Discovery in Temporal Domain from Interventional Data. CIKM 2023: 4074-4078 - [c270]Lianzhe Wang, Shiji Zhou, Shanghang Zhang, Xu Chu, Heng Chang, Wenwu Zhu:
Improving Generalization of Meta-Learning with Inverted Regularization at Inner-Level. CVPR 2023: 7826-7835 - [c269]Beini Xie, Heng Chang, Ziwei Zhang, Xin Wang, Daixin Wang, Zhiqiang Zhang, Rex Ying, Wenwu Zhu:
Adversarially Robust Neural Architecture Search for Graph Neural Networks. CVPR 2023: 8143-8152 - [c268]Zi Qian, Xin Wang, Xuguang Duan, Pengda Qin, Yuhong Li, Wenwu Zhu:
Decouple Before Interact: Multi-Modal Prompt Learning for Continual Visual Question Answering. ICCV 2023: 2941-2950 - [c267]Haoyang Li, Xin Wang, Ziwei Zhang, Jianxin Ma, Peng Cui, Wenwu Zhu:
Intention-aware Sequential Recommendation with Structured Intent Transition : (Extended Abstract). ICDE 2023: 3759-3760 - [c266]Jiyan Jiang, Wenpeng Zhang, Shiji Zhou, Lihong Gu, Xiaodong Zeng, Wenwu Zhu:
Multi-Objective Online Learning. ICLR 2023 - [c265]Zizhao Zhang, Xin Wang, Chaoyu Guan, Ziwei Zhang, Haoyang Li, Wenwu Zhu:
AutoGT: Automated Graph Transformer Architecture Search. ICLR 2023 - [c264]Xu Chu, Yujie Jin, Xin Wang, Shanghang Zhang, Yasha Wang, Wenwu Zhu, Hong Mei:
Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks. ICML 2023: 6158-6184 - [c263]Xin Wang, Zirui Pan, Yuwei Zhou, Hong Chen, Chendi Ge, Wenwu Zhu:
Curriculum Co-disentangled Representation Learning across Multiple Environments for Social Recommendation. ICML 2023: 36174-36192 - [c262]Haoyang Li, Xin Wang, Wenwu Zhu:
Curriculum Graph Machine Learning: A Survey. IJCAI 2023: 6674-6682 - [c261]Yinan Mao, Shiji Zhou, Haochen Liu, Zhi Wang, Wenwu Zhu:
Dynamic Edge Caching via Online Meta-RL. IJCNN 2023: 1-10 - [c260]Yipeng Zhang, Xin Wang, Hong Chen, Wenwu Zhu:
Adaptive Disentangled Transformer for Sequential Recommendation. KDD 2023: 3434-3445 - [c259]Wei Feng, Haoyang Li, Xin Wang, Xuguang Duan, Zi Qian, Wu Liu, Wenwu Zhu:
Multimedia Cognition and Evaluation in Open Environments. MCGE@MM 2023: 9-18 - [c258]Xin Wang, Benyuan Meng, Hong Chen, Yuan Meng, Ke Lv, Wenwu Zhu:
TIVA-KG: A Multimodal Knowledge Graph with Text, Image, Video and Audio. ACM Multimedia 2023: 2391-2399 - [c257]Houlun Chen, Xin Wang, Xiaohan Lan, Hong Chen, Xuguang Duan, Jia Jia, Wenwu Zhu:
Curriculum-Listener: Consistency- and Complementarity-Aware Audio-Enhanced Temporal Sentence Grounding. ACM Multimedia 2023: 3117-3128 - [c256]Yuwei Zhou, Xin Wang, Hong Chen, Xuguang Duan, Wenwu Zhu:
Intra- and Inter-Modal Curriculum for Multimodal Learning. ACM Multimedia 2023: 3724-3735 - [c255]Xin Wang, Zihao Wu, Hong Chen, Xiaohan Lan, Wenwu Zhu:
Mixup-Augmented Temporally Debiased Video Grounding with Content-Location Disentanglement. ACM Multimedia 2023: 4450-4459 - [c254]Chen Tang, Kai Ouyang, Zenghao Chai, Yunpeng Bai, Yuan Meng, Zhi Wang, Wenwu Zhu:
SEAM: Searching Transferable Mixed-Precision Quantization Policy through Large Margin Regularization. ACM Multimedia 2023: 7971-7980 - [c253]Zihao Wu, Xin Wang, Hong Chen, Kaidong Li, Yi Han, Lifeng Sun, Wenwu Zhu:
Diff4Rec: Sequential Recommendation with Curriculum-scheduled Diffusion Augmentation. ACM Multimedia 2023: 9329-9335 - [c252]Yi Han, Kaidong Li, Zihan Song, Wei Feng, Xiang Cao, Shida Guo, Xin Wang, Xuguang Duan, Wenwu Zhu:
H2V4Sports: Real-Time Horizontal-to-Vertical Video Converter for Sports Lives via Fast Object Detection and Tracking. ACM Multimedia 2023: 9376-9378 - [c251]Xin Wang, Hong Chen, Wenwu Zhu:
Disentangled Representation Learning for Multimedia. ACM Multimedia 2023: 9702-9704 - [c250]Hong Chen, Bin Huang, Xin Wang, Yuwei Zhou, Wenwu Zhu:
Global-Local GraphFormer: Towards Better Understanding of User Intentions in Sequential Recommendation. MMAsia 2023: 8:1-8:7 - [c249]Hong Chen, Xin Wang, Yuwei Zhou, Yijian Qin, Chaoyu Guan, Wenwu Zhu:
Joint Data-Task Generation for Auxiliary Learning. NeurIPS 2023 - [c248]Xinyu Ma, Xu Chu, Yasha Wang, Yang Lin, Junfeng Zhao, Liantao Ma, Wenwu Zhu:
Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications. NeurIPS 2023 - [c247]Yijian Qin, Xin Wang, Ziwei Zhang, Hong Chen, Wenwu Zhu:
Multi-task Graph Neural Architecture Search with Task-aware Collaboration and Curriculum. NeurIPS 2023 - [c246]Zeyang Zhang, Xin Wang, Ziwei Zhang, Zhou Qin, Weigao Wen, Hui Xue, Haoyang Li, Wenwu Zhu:
Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts. NeurIPS 2023 - [c245]Zeyang Zhang, Xin Wang, Ziwei Zhang, Guangyao Shen, Shiqi Shen, Wenwu Zhu:
Unsupervised Graph Neural Architecture Search with Disentangled Self-Supervision. NeurIPS 2023 - [c244]Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu:
Tutorials at The Web Conference 2023. WWW (Companion Volume) 2023: 648-658 - [c243]Hong Chen, Xin Wang, Ruobing Xie, Yuwei Zhou, Wenwu Zhu:
Cross-domain Recommendation with Behavioral Importance Perception. WWW 2023: 1294-1304 - [c242]Xin Wang, Yue Liu, Jiapei Fan, Weigao Wen, Hui Xue, Wenwu Zhu:
Continual Few-shot Learning with Transformer Adaptation and Knowledge Regularization. WWW 2023: 1519-1527 - [i74]Haoyang Li, Xin Wang, Wenwu Zhu:
Curriculum Graph Machine Learning: A Survey. CoRR abs/2302.02926 (2023) - [i73]Beini Xie, Heng Chang, Ziwei Zhang, Xin Wang, Daixin Wang, Zhiqiang Zhang, Rex Ying, Wenwu Zhu:
Adversarially Robust Neural Architecture Search for Graph Neural Networks. CoRR abs/2304.04168 (2023) - [i72]Hong Chen, Yipeng Zhang, Xin Wang, Xuguang Duan, Yuwei Zhou, Wenwu Zhu:
DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation. CoRR abs/2305.03374 (2023) - [i71]Chen Zhu, Liang Du, Xin Wang, Wenwu Zhu:
DELTA: Direct Embedding Enhancement and Leverage Truncated Conscious Attention for Recommendation System. CoRR abs/2305.04891 (2023) - [i70]Xinyu Ma, Xu Chu, Yasha Wang, Yang Lin, Junfeng Zhao, Liantao Ma, Wenwu Zhu:
Graph Interpolation via Fast Fused-Gromovization. CoRR abs/2306.15963 (2023) - [i69]Ziwei Zhang, Haoyang Li, Zeyang Zhang, Yijian Qin, Xin Wang, Wenwu Zhu:
Large Graph Models: A Perspective. CoRR abs/2308.14522 (2023) - [i68]Zeyang Zhang, Xin Wang, Ziwei Zhang, Haoyang Li, Yijian Qin, Simin Wu, Wenwu Zhu:
LLM4DyG: Can Large Language Models Solve Problems on Dynamic Graphs? CoRR abs/2310.17110 (2023) - [i67]Yijian Qin, Xin Wang, Ziwei Zhang, Wenwu Zhu:
Disentangled Representation Learning with Large Language Models for Text-Attributed Graphs. CoRR abs/2310.18152 (2023) - [i66]Hong Chen, Xin Wang, Guanning Zeng, Yipeng Zhang, Yuwei Zhou, Feilin Han, Wenwu Zhu:
VideoDreamer: Customized Multi-Subject Text-to-Video Generation with Disen-Mix Finetuning. CoRR abs/2311.00990 (2023) - [i65]Siao Tang, Xin Wang, Hong Chen, Chaoyu Guan, Yansong Tang, Wenwu Zhu:
Lightweight Diffusion Models with Distillation-Based Block Neural Architecture Search. CoRR abs/2311.04950 (2023) - [i64]Siao Tang, Xin Wang, Hong Chen, Chaoyu Guan, Zewen Wu, Yansong Tang, Wenwu Zhu:
Post-training Quantization with Progressive Calibration and Activation Relaxing for Text-to-Image Diffusion Models. CoRR abs/2311.06322 (2023) - [i63]Zeyang Zhang, Xin Wang, Ziwei Zhang, Haoyang Li, Wenwu Zhu:
Out-of-Distribution Generalized Dynamic Graph Neural Network with Disentangled Intervention and Invariance Promotion. CoRR abs/2311.14255 (2023) - [i62]Zeyang Zhang, Xingwang Li, Fei Teng, Ning Lin, Xueling Zhu, Xin Wang, Wenwu Zhu:
Out-of-Distribution Generalized Dynamic Graph Neural Network for Human Albumin Prediction. CoRR abs/2311.15545 (2023) - [i61]Bin Huang, Xin Wang, Hong Chen, Zihan Song, Wenwu Zhu:
VTimeLLM: Empower LLM to Grasp Video Moments. CoRR abs/2311.18445 (2023) - [i60]Wei Feng, Xin Wang, Hong Chen, Zeyang Zhang, Zihan Song, Yuwei Zhou, Wenwu Zhu:
LLM4VG: Large Language Models Evaluation for Video Grounding. CoRR abs/2312.14206 (2023) - [i59]Houlun Chen, Xin Wang, Hong Chen, Zihan Song, Jia Jia, Wenwu Zhu:
Grounding-Prompter: Prompting LLM with Multimodal Information for Temporal Sentence Grounding in Long Videos. CoRR abs/2312.17117 (2023) - 2022
- [b3]Qi Wu, Peng Wang, Xin Wang, Xiaodong He, Wenwu Zhu:
Visual Question Answering - From Theory to Application. Advances in Computer Vision and Pattern Recognition, Springer 2022, ISBN 978-981-19-0963-4, pp. 1-236 - [j128]Wenwu Zhu, Xin Wang, Pengtao Xie:
Self-directed machine learning. AI Open 3: 58-70 (2022) - [j127]Yadong Ding, Yu Wu, Chengyue Huang, Siliang Tang, Fei Wu, Yi Yang, Wenwu Zhu, Yueting Zhuang:
NAP: Neural architecture search with pruning. Neurocomputing 477: 85-95 (2022) - [j126]Yitian Yuan, Lin Ma, Jingwen Wang, Wei Liu, Wenwu Zhu:
Semantic Conditioned Dynamic Modulation for Temporal Sentence Grounding in Videos. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2725-2741 (2022) - [j125]Xin Wang, Yudong Chen, Wenwu Zhu:
A Survey on Curriculum Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4555-4576 (2022) - [j124]Yitian Yuan, Lin Ma, Wenwu Zhu:
Syntax Customized Video Captioning by Imitating Exemplar Sentences. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 10209-10221 (2022) - [j123]Ziwei Zhang, Peng Cui, Wenwu Zhu:
Deep Learning on Graphs: A Survey. IEEE Trans. Knowl. Data Eng. 34(1): 249-270 (2022) - [j122]Haoyang Li, Xin Wang, Ziwei Zhang, Jianxin Ma, Peng Cui, Wenwu Zhu:
Intention-Aware Sequential Recommendation With Structured Intent Transition. IEEE Trans. Knowl. Data Eng. 34(11): 5403-5414 (2022) - [j121]Shiji Zhou, Lianzhe Wang, Shanghang Zhang, Zhi Wang, Wenwu Zhu:
Active Gradual Domain Adaptation: Dataset and Approach. IEEE Trans. Multim. 24: 1210-1220 (2022) - [c241]Zeyang Zhang, Ziwei Zhang, Xin Wang, Wenwu Zhu:
Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum.