Cheng, Dawei

29 publications

AAAI 2025 Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting Yifan Hu, Peiyuan Liu, Peng Zhu, Dawei Cheng, Tao Dai

NeurIPS 2025 Attack by Yourself: Effective and Unnoticeable Multi-Category Graph Backdoor Attacks with Subgraph Triggers Pool Jiangtong Li, Dongyi Liu, Kun Zhu, Dawei Cheng, Changjun Jiang

ICLR 2025 Cut the Crap: An Economical Communication Pipeline for LLM-Based Multi-Agent Systems Guibin Zhang, Yanwei Yue, Zhixun Li, Sukwon Yun, Guancheng Wan, Kun Wang, Dawei Cheng, Jeffrey Xu Yu, Tianlong Chen

IJCAI 2025 Enhancing Portfolio Optimization via Heuristic-Guided Inverse Reinforcement Learning with Multi-Objective Reward and Graph-Based Policy Learning Wenyi Zhang, Renjun Jia, Yanhao Wang, Dawei Cheng, Minghao Zhao, Cen Chen

AAAI 2025 Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks Yanwei Yue, Guibin Zhang, Haoran Yang, Dawei Cheng

ICML 2025 G-Designer: Architecting Multi-Agent Communication Topologies via Graph Neural Networks Guibin Zhang, Yanwei Yue, Xiangguo Sun, Guancheng Wan, Miao Yu, Junfeng Fang, Kun Wang, Tianlong Chen, Dawei Cheng

ICLRW 2025 G-Designer: Architecting Multi-Agent Communication Topologies via Graph Neural Networks Guibin Zhang, Yanwei Yue, Xiangguo Sun, Guancheng Wan, Miao Yu, Junfeng Fang, Kun Wang, Tianlong Chen, Dawei Cheng

IJCAI 2025 PCAN: A Pandemic-Compatible Attentive Neural Network for Retail Sales Forecasting Fan Li, Guoxuan Wang, Huiyu Chu, Dawei Cheng, Xiaoyang Wang

ICLR 2025 Rationalizing and Augmenting Dynamic Graph Neural Networks Guibin Zhang, Yiyan Qi, Ziyang Cheng, Yanwei Yue, Dawei Cheng, Jian Guo

ICML 2025 TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting Yifan Hu, Guibin Zhang, Peiyuan Liu, Disen Lan, Naiqi Li, Dawei Cheng, Tao Dai, Shu-Tao Xia, Shirui Pan

ECML-PKDD 2024 Asymmetric Graph-Based Deep Reinforcement Learning for Portfolio Optimization Haoyu Sun, Xin Liu, Yuxuan Bian, Peng Zhu, Dawei Cheng, Yuqi Liang

IJCAI 2024 Effective High-Order Graph Representation Learning for Credit Card Fraud Detection Yao Zou, Dawei Cheng

NeurIPS 2024 GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning Guibin Zhang, Haonan Dong, Yuchen Zhang, Zhixun Li, Dingshuo Chen, Kai Wang, Tianlong Chen, Yuxuan Liang, Dawei Cheng, Kun Wang

ICLR 2024 Graph Lottery Ticket Automated Guibin Zhang, Kun Wang, Wei Huang, Yanwei Yue, Yang Wang, Roger Zimmermann, Aojun Zhou, Dawei Cheng, Jin Zeng, Yuxuan Liang

IJCAI 2024 Hypergraph Self-Supervised Learning with Sampling-Efficient Signals Fan Li, Xiaoyang Wang, Dawei Cheng, Wenjie Zhang, Ying Zhang, Xuemin Lin

ICML 2024 Multi-Patch Prediction: Adapting Language Models for Time Series Representation Learning Yuxuan Bian, Xuan Ju, Jiangtong Li, Zhijian Xu, Dawei Cheng, Qiang Xu

AAAI 2024 Pre-Trained Online Contrastive Learning for Insurance Fraud Detection Rui Zhang, Dawei Cheng, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng, Changjun Jiang

IJCAI 2024 Safeguarding Fraud Detection from Attacks: A Robust Graph Learning Approach Jiasheng Wu, Xin Liu, Dawei Cheng, Yi Ouyang, Xian Wu, Yefeng Zheng

ICML 2024 Two Heads Are Better than One: Boosting Graph Sparse Training via Semantic and Topological Awareness Guibin Zhang, Yanwei Yue, Kun Wang, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shirui Pan, Tianlong Chen

AAAI 2023 Critical Firms Prediction for Stemming Contagion Risk in Networked-Loans Through Graph-Based Deep Reinforcement Learning Dawei Cheng, Zhibin Niu, Jianfu Zhang, Yiyi Zhang, Changjun Jiang

IJCAI 2023 Fighting Against Organized Fraudsters Using Risk Diffusion-Based Parallel Graph Neural Network Jiacheng Ma, Fan Li, Rui Zhang, Zhikang Xu, Dawei Cheng, Yi Ouyang, Ruihui Zhao, Jianguang Zheng, Yefeng Zheng, Changjun Jiang

IJCAI 2023 Preventing Attacks in Interbank Credit Rating with Selective-Aware Graph Neural Network Junyi Liu, Dawei Cheng, Changjun Jiang

AAAI 2023 Semi-Supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation Sheng Xiang, Mingzhi Zhu, Dawei Cheng, Enxia Li, Ruihui Zhao, Yi Ouyang, Ling Chen, Yefeng Zheng

AAAI 2020 Exploiting Motion Information from Unlabeled Videos for Static Image Action Recognition Yiyi Zhang, Li Niu, Ziqi Pan, Meichao Luo, Jianfu Zhang, Dawei Cheng, Liqing Zhang

IJCAI 2020 F-HMTC: Detecting Financial Events for Investment Decisions Based on Neural Hierarchical Multi-Label Text Classification Xin Liang, Dawei Cheng, Fangzhou Yang, Yifeng Luo, Weining Qian, Aoying Zhou

AAAI 2020 Image Cropping with Composition and Saliency Aware Aesthetic Score mAP Yi Tu, Li Niu, Weijie Zhao, Dawei Cheng, Liqing Zhang

IJCAI 2020 Risk Guarantee Prediction in Networked-Loans Dawei Cheng, Xiaoyang Wang, Ying Zhang, Liqing Zhang

AAAI 2020 Spatio-Temporal Attention-Based Neural Network for Credit Card Fraud Detection Dawei Cheng, Sheng Xiang, Chencheng Shang, Yiyi Zhang, Fangzhou Yang, Liqing Zhang

IJCAI 2019 Risk Assessment for Networked-Guarantee Loans Using High-Order Graph Attention Representation Dawei Cheng, Yi Tu, Zhen-Wei Ma, Zhibin Niu, Liqing Zhang