Yongduo Sui

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 26

Top Topics

Recommender Systems

Sparse Learning

Robust Detection

Top Venues

Int. J. Intell. Syst.

Publications

Yongduo Sui, Wenyu Mao, Shuyao Wang, Xiang Wang, Jiancan Wu, Xiangnan He, Tat-Seng Chua
Enhancing Out-of-distribution Generalization on Graphs via Causal Attention Learning. ACM Trans. Knowl. Discov. Data 18 (5) (2024)
Junfeng Fang, Xinglin Li, Yongduo Sui, Yuan Gao, Guibin Zhang, Kun Wang, Xiang Wang, Xiangnan He
EXGC: Bridging Efficiency and Explainability in Graph Condensation. WWW (2024)
Shuyao Wang, Yongduo Sui, Jiancan Wu, Zhi Zheng, Hui Xiong
Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation. WSDM (2024)
Yongduo Sui, Caizhi Tang, Zhixuan Chu, Junfeng Fang, Yuan Gao, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang
Invariant Graph Learning for Causal Effect Estimation. WWW (2024)
Yanchen Luo, Sihang Li, Yongduo Sui, Junkang Wu, Jiancan Wu, Xiang Wang
Masked Graph Modeling with Multi- View Contrast. ICDE (2024)
Guibin Zhang, Yanwei Yue, Kun Wang, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shirui Pan, Tianlong Chen
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness. CoRR (2024)
Shuyao Wang, Yongduo Sui, Jiancan Wu, Zhi Zheng, Hui Xiong
Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation. CoRR (2024)
Shuyao Wang, Yongduo Sui, Chao Wang, Hui Xiong
Unleashing the Power of Knowledge Graph for Recommendation via Invariant Learning. WWW (2024)
Junfeng Fang, Xinglin Li, Yongduo Sui, Yuan Gao, Guibin Zhang, Kun Wang, Xiang Wang, Xiangnan He
EXGC: Bridging Efficiency and Explainability in Graph Condensation. CoRR (2024)
Yuan Gao, Junfeng Fang, Yongduo Sui, Yangyang Li, Xiang Wang, Huamin Feng, Yongdong Zhang
Graph Anomaly Detection with Bi-level Optimization. WWW (2024)
You Zhou, Xiujing Lin, Xiang Zhang, Maolin Wang, Gangwei Jiang, Huakang Lu, Yupeng Wu, Kai Zhang, Zhe Yang, Kehang Wang, Yongduo Sui, Fengwei Jia, Zuoli Tang, Yao Zhao, Hongxuan Zhang, Tiannuo Yang, Weibo Chen, Yunong Mao, Yi Li, De Bao, Yu Li, Hongrui Liao, Ting Liu, Jingwen Liu, Jinchi Guo, Xiangyu Zhao, Ying Wei, Hong Qian, Qi Liu, Xiang Wang, Wai Kin Chan, Chenliang Li, Yusen Li, Shiyu Yang, Jining Yan, Chao Mou, Shuai Han, Wuxia Jin, Guannan Zhang, Xiaodong Zeng
On the Opportunities of Green Computing: A Survey. CoRR (2023)
Jiancan Wu, Yi Yang, Yuchun Qian, Yongduo Sui, Xiang Wang, Xiangnan He
GIF: A General Graph Unlearning Strategy via Influence Function. CoRR (2023)
Yongduo Sui, Qitian Wu, Jiancan Wu, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang, Xiangnan He
Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift. NeurIPS (2023)
Jiancan Wu, Yi Yang, Yuchun Qian, Yongduo Sui, Xiang Wang, Xiangnan He
GIF: A General Graph Unlearning Strategy via Influence Function. WWW (2023)
Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, Xiangnan He, Tat-Seng Chua
Causal Attention for Interpretable and Generalizable Graph Classification. KDD (2022)
Yongduo Sui, Tianlong Chen, Pengfei Xia, Shuyao Wang, Bin Li
Towards Robust Detection and Segmentation Using Vertical and Horizontal Adversarial Training. IJCNN (2022)
Yongduo Sui, Xiang Wang, Jiancan Wu, An Zhang, Xiangnan He
Adversarial Causal Augmentation for Graph Covariate Shift. CoRR (2022)
Yanfang Wang, Yongduo Sui, Xiang Wang, Zhenguang Liu, Xiangnan He
Exploring lottery ticket hypothesis in media recommender systems. Int. J. Intell. Syst. 37 (5) (2022)
Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen
GANs Can Play Lottery Tickets Too. CoRR (2021)
Tianlong Chen, Yongduo Sui, Xuxi Chen, Aston Zhang, Zhangyang Wang
A Unified Lottery Ticket Hypothesis for Graph Neural Networks. CoRR (2021)
Tianlong Chen, Yongduo Sui, Xuxi Chen, Aston Zhang, Zhangyang Wang
A Unified Lottery Ticket Hypothesis for Graph Neural Networks. ICML (2021)
Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen
GANs Can Play Lottery Tickets Too. ICLR (2021)
Yanfang Wang, Yongduo Sui, Xiang Wang, Zhenguang Liu, Xiangnan He
Exploring Lottery Ticket Hypothesis in Media Recommender Systems. CoRR (2021)
Yongduo Sui, Xiang Wang, Jiancan Wu, Xiangnan He, Tat-Seng Chua
Deconfounded Training for Graph Neural Networks. CoRR (2021)
Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen
Graph Contrastive Learning with Augmentations. NeurIPS (2020)
Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen
Graph Contrastive Learning with Augmentations. CoRR (2020)