Wang, Dongdong

10 publications

TMLR 2024 DIGNet: Learning Decomposed Patterns in Representation Balancing for Treatment Effect Estimation Yiyan Huang, Wang Siyi, Cheuk Hang Leung, Qi Wu, Dongdong Wang, Zhixiang Huang

CVPRW 2024 Enhancing Traffic Safety with Parallel Dense Video Captioning for End-to-End Event Analysis Maged Shoman, Dongdong Wang, Armstrong Aboah, Mohamed A. Abdel-Aty

CVPR 2024 Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models Jingyao Xu, Yuetong Lu, Yandong Li, Siyang Lu, Dongdong Wang, Xiang Wei

NeurIPS 2024 SolarCube: An Integrative Benchmark Dataset Harnessing Satellite and In-Situ Observations for Large-Scale Solar Energy Forecasting Ruohan Li, Yiqun Xie, Xiaowei Jia, Dongdong Wang, Yanhua Li, Yingxue Zhang, Zhihao Wang, Zhili Li

AAAI 2024 The Causal Impact of Credit Lines on Spending Distributions Yijun Li, Cheuk Hang Leung, Xiangqian Sun, Chaoqun Wang, Yiyan Huang, Xing Yan, Qi Wu, Dongdong Wang, Zhixiang Huang

IJCAI 2023 DeLELSTM: Decomposition-Based Linear Explainable LSTM to Capture Instantaneous and Long-Term Effects in Time Series Chaoqun Wang, Yijun Li, Xiangqian Sun, Qi Wu, Dongdong Wang, Zhixiang Huang

CVPR 2023 On Calibrating Semantic Segmentation Models: Analyses and an Algorithm Dongdong Wang, Boqing Gong, Liqiang Wang

AISTATS 2023 Towards Balanced Representation Learning for Credit Policy Evaluation Yiyan Huang, Cheuk Hang Leung, Shumin Ma, Zhiri Yuan, Qi Wu, Siyi Wang, Dongdong Wang, Zhixiang Huang

AAAI 2021 Deep Epidemiological Modeling by Black-Box Knowledge Distillation: An Accurate Deep Learning Model for COVID-19 Dongdong Wang, Shunpu Zhang, Liqiang Wang

AAAI 2021 The Causal Learning of Retail Delinquency Yiyan Huang, Cheuk Hang Leung, Xing Yan, Qi Wu, Nanbo Peng, Dongdong Wang, Zhixiang Huang