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2020 – today
- 2024
[c19]Jiazhi Guan, Yi Zhao, Zhuoer Xu, Changhua Meng, Ke Xu, Youjian Zhao:
Adversarial Robust Safeguard for Evading Deep Facial Manipulation. AAAI 2024: 118-126- [c18]Zhiyuan Ma, Jintao Du, Changhua Meng, Weiqiang Wang:
Enhancing Distantly Supervised Named Entity Recognition with Strong Label Guided Lottery Training. LREC/COLING 2024: 5922-5929 - [c17]Siyuan Huang, Zhiyuan Ma, Jintao Du, Changhua Meng, Weiqiang Wang, Zhouhan Lin:
Mirror-Consistency: Harnessing Inconsistency in Majority Voting. EMNLP (Findings) 2024: 2408-2420 - [c16]Jintang Li, Huizhe Zhang, Ruofan Wu, Zulun Zhu, Baokun Wang, Changhua Meng, Zibin Zheng, Liang Chen:
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks. ICLR 2024 - [c15]Yunfei Liu
, Jintang Li, Yuehe Chen, Ruofan Wu, Ericbk Wang, Jing Zhou, Sheng Tian, Shuheng Shen, Xing Fu, Changhua Meng, Weiqiang Wang, Liang Chen:
Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective. KDD 2024: 1968-1979 - [c14]Yue Duan, Zhangxuan Gu, Zhenzhe Ying, Lei Qi, Changhua Meng, Yinghuan Shi:
PC2: Pseudo-Classification Based Pseudo-Captioning for Noisy Correspondence Learning in Cross-Modal Retrieval. ACM Multimedia 2024: 9397-9406 - [c13]Sheng Tian, Xintan Zeng, Yifei Hu, Baokun Wang, Yongchao Liu, Yue Jin, Changhua Meng, Chuntao Hong, Tianyi Zhang, Weiqiang Wang:
GraphRPM: Risk Pattern Mining on Industrial Large Attributed Graphs. ECML/PKDD (10) 2024: 133-149 - [i25]Zhuoer Xu, Jianping Zhang, Shiwen Cui, Changhua Meng, Weiqiang Wang:
TroubleLLM: Align to Red Team Expert. CoRR abs/2403.00829 (2024) - [i24]Ke Wang, Tianyu Xia, Zhangxuan Gu, Yi Zhao, Shuheng Shen, Changhua Meng, Weiqiang Wang, Ke Xu:
E-ANT: A Large-Scale Dataset for Efficient Automatic GUI NavigaTion. CoRR abs/2406.14250 (2024) - [i23]Yunfei Liu, Jintang Li, Yuehe Chen, Ruofan Wu, Ericbk Wang, Jing Zhou, Sheng Tian, Shuheng Shen, Xing Fu, Changhua Meng, Weiqiang Wang, Liang Chen:
Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective. CoRR abs/2406.14288 (2024) - [i22]Yue Duan, Zhangxuan Gu, Zhenzhe Ying, Lei Qi, Changhua Meng, Yinghuan Shi:
PC2: Pseudo-Classification Based Pseudo-Captioning for Noisy Correspondence Learning in Cross-Modal Retrieval. CoRR abs/2408.01349 (2024) - [i21]Siyuan Huang, Zhiyuan Ma, Jintao Du, Changhua Meng, Weiqiang Wang, Zhouhan Lin:
Mirror-Consistency: Harnessing Inconsistency in Majority Voting. CoRR abs/2410.10857 (2024) - 2023
- [c12]Jintang Li, Zhouxin Yu, Zulun Zhu, Liang Chen, Qi Yu, Zibin Zheng, Sheng Tian, Ruofan Wu, Changhua Meng:
Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks. AAAI 2023: 8588-8596 - [c11]Ziwei Chai, Yang Yang, Jiawang Dan, Sheng Tian, Changhua Meng, Weiqiang Wang, Yifei Sun:
Towards Learning to Discover Money Laundering Sub-network in Massive Transaction Network. AAAI 2023: 14153-14160 - [c10]Jintang Li, Jie Liao, Ruofan Wu, Liang Chen, Zibin Zheng, Jiawang Dan, Changhua Meng, Weiqiang Wang:
GUARD: Graph Universal Adversarial Defense. CIKM 2023: 1198-1207 - [c9]Zhangxuan Gu, Zhuoer Xu, Haoxing Chen, Jun Lan, Changhua Meng, Weiqiang Wang:
Mobile User Interface Element Detection Via Adaptively Prompt Tuning. CVPR 2023: 11155-11164 - [c8]Zhuoer Xu, Zhangxuan Gu, Jianping Zhang, Shiwen Cui, Changhua Meng, Weiqiang Wang:
Backpropagation Path Search On Adversarial Transferability. ICCV 2023: 4640-4650 - [c7]Jiawang Dan, Ruofan Wu, Yunpeng Liu, Baokun Wang, Changhua Meng, Tengfei Liu, Tianyi Zhang, Ningtao Wang, Xing Fu, Qi Li, Weiqiang Wang:
Self-supervision meets kernel graph neural models: From architecture to augmentations. ICDM (Workshops) 2023: 1076-1083 - [c6]Sheng Tian, Jihai Dong, Jintang Li, Wenlong Zhao, Xiaolong Xu, Baokun Wang, Bowen Song, Changhua Meng, Tianyi Zhang, Liang Chen:
SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs. IJCAI 2023: 2306-2314 - [c5]Jintang Li, Ruofan Wu, Wangbin Sun, Liang Chen, Sheng Tian, Liang Zhu, Changhua Meng, Zibin Zheng, Weiqiang Wang:
What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders. KDD 2023: 1268-1279 - [c4]Haoxing Chen, Zhangxuan Gu, Yaohui Li, Jun Lan, Changhua Meng, Weiqiang Wang, Huaxiong Li:
Hierarchical Dynamic Image Harmonization. ACM Multimedia 2023: 1422-1430 - [c3]Haoxing Chen, Zhuoer Xu, Zhangxuan Gu, Jun Lan, Xing Zheng, Yaohui Li, Changhua Meng, Huijia Zhu, Weiqiang Wang:
DiffUTE: Universal Text Editing Diffusion Model. NeurIPS 2023 - [i20]Jiafu Wu, Mufeng Yao, Dong Wu, Mingmin Chi, Baokun Wang, Ruofan Wu, Xin Fu, Changhua Meng, Weiqiang Wang:
DEDGAT: Dual Embedding of Directed Graph Attention Networks for Detecting Financial Risk. CoRR abs/2303.03933 (2023) - [i19]Zhangxuan Gu, Zhuoer Xu, Haoxing Chen, Jun Lan, Changhua Meng, Weiqiang Wang:
Mobile User Interface Element Detection Via Adaptively Prompt Tuning. CoRR abs/2305.09699 (2023) - [i18]Jintang Li, Sheng Tian, Ruofan Wu, Liang Zhu, Wenlong Zhao, Changhua Meng, Liang Chen, Zibin Zheng, Hongzhi Yin:
Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs. CoRR abs/2305.10673 (2023) - [i17]Haoxing Chen, Zhuoer Xu, Zhangxuan Gu, Jun Lan, Xing Zheng, Yaohui Li, Changhua Meng, Huijia Zhu, Weiqiang Wang:
DiffUTE: Universal Text Editing Diffusion Model. CoRR abs/2305.10825 (2023) - [i16]Sheng Tian, Jihai Dong, Jintang Li, Wenlong Zhao, Xiaolong Xu, Baokun Wang, Bowen Song, Changhua Meng, Tianyi Zhang, Liang Chen:
SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs. CoRR abs/2305.13573 (2023) - [i15]Jintang Li, Huizhe Zhang, Ruofan Wu, Zulun Zhu, Liang Chen, Zibin Zheng, Baokun Wang, Changhua Meng:
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks. CoRR abs/2305.19306 (2023) - [i14]Jianping Zhang, Zhuoer Xu, Shiwen Cui, Changhua Meng, Weibin Wu, Michael R. Lyu:
On the Robustness of Latent Diffusion Models. CoRR abs/2306.08257 (2023) - [i13]Zhuoer Xu, Zhangxuan Gu, Jianping Zhang, Shiwen Cui, Changhua Meng, Weiqiang Wang:
Backpropagation Path Search On Adversarial Transferability. CoRR abs/2308.07625 (2023) - [i12]Jiawang Dan, Ruofan Wu, Yunpeng Liu, Baokun Wang, Changhua Meng, Tengfei Liu, Tianyi Zhang, Ningtao Wang, Xing Fu, Qi Li, Weiqiang Wang:
Self-supervision meets kernel graph neural models: From architecture to augmentations. CoRR abs/2310.11281 (2023) - [i11]Jintang Li, Zheng Wei, Jiawang Dan, Jing Zhou, Yuchang Zhu, Ruofan Wu, Baokun Wang, Zhang Zhen, Changhua Meng, Hong Jin, Zibin Zheng, Liang Chen:
Hetero$^2$Net: Heterophily-aware Representation Learning on Heterogenerous Graphs. CoRR abs/2310.11664 (2023) - [i10]Jintang Li, Jiawang Dan, Ruofan Wu, Jing Zhou, Sheng Tian, Yunfei Liu, Baokun Wang, Changhua Meng, Weiqiang Wang, Yuchang Zhu, Liang Chen, Zibin Zheng:
LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning. CoRR abs/2311.16605 (2023) - 2022
- [c2]Zhangxuan Gu, Changhua Meng, Ke Wang, Jun Lan, Weiqiang Wang, Ming Gu, Liqing Zhang:
XYLayoutLM: Towards Layout-Aware Multimodal Networks For Visually-Rich Document Understanding. CVPR 2022: 4573-4582 - [c1]Zhuoer Xu, Guanghui Zhu, Changhua Meng, Shiwen Cui, Zhenzhe Ying, Weiqiang Wang, Ming Gu, Yihua Huang:
A2: Efficient Automated Attacker for Boosting Adversarial Training. NeurIPS 2022 - [i9]Zhenzhe Ying, Zhuoer Xu, Zhifeng Li, Weiqiang Wang, Changhua Meng:
MT-GBM: A Multi-Task Gradient Boosting Machine with Shared Decision Trees. CoRR abs/2201.06239 (2022) - [i8]Zhangxuan Gu, Changhua Meng, Ke Wang, Jun Lan, Weiqiang Wang, Ming Gu, Liqing Zhang:
XYLayoutLM: Towards Layout-Aware Multimodal Networks For Visually-Rich Document Understanding. CoRR abs/2203.06947 (2022) - [i7]Jintang Li, Jie Liao, Ruofan Wu, Liang Chen, Changhua Meng, Zibin Zheng, Weiqiang Wang:
GUARD: Graph Universal Adversarial Defense. CoRR abs/2204.09803 (2022) - [i6]Jintang Li, Ruofan Wu, Wangbin Sun, Liang Chen, Sheng Tian, Liang Zhu, Changhua Meng, Zibin Zheng, Weiqiang Wang:
MaskGAE: Masked Graph Modeling Meets Graph Autoencoders. CoRR abs/2205.10053 (2022) - [i5]Jintang Li, Zhouxin Yu, Zulun Zhu, Liang Chen, Qi Yu, Zibin Zheng, Sheng Tian, Ruofan Wu, Changhua Meng:
Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks. CoRR abs/2208.10364 (2022) - [i4]Zhuoer Xu, Guanghui Zhu, Changhua Meng, Shiwen Cui, Zhenzhe Ying, Weiqiang Wang, Ming Gu, Yihua Huang:
A2: Efficient Automated Attacker for Boosting Adversarial Training. CoRR abs/2210.03543 (2022) - [i3]Haoxing Chen, Zhangxuan Gu, Yaohui Li, Jun Lan, Changhua Meng, Weiqiang Wang, Huaxiong Li:
Hierarchical Dynamic Image Harmonization. CoRR abs/2211.08639 (2022) - [i2]Zhangxuan Gu, Haoxing Chen, Zhuoer Xu, Jun Lan, Changhua Meng, Weiqiang Wang:
DiffusionInst: Diffusion Model for Instance Segmentation. CoRR abs/2212.02773 (2022) - 2021
- [i1]Xiang Ni, Xiaolong Xu, Lingjuan Lyu, Changhua Meng, Weiqiang Wang:
A Vertical Federated Learning Framework for Graph Convolutional Network. CoRR abs/2106.11593 (2021)
Coauthor Index
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