Cui, Jiaming

8 publications

UAI 2025 DF$^2$: Distribution-Free Decision-Focused Learning Lingkai Kong, Wenhao Mu, Jiaming Cui, Yuchen Zhuang, B. Aditya Prakash, Bo Dai, Chao Zhang

NeurIPS 2024 Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis Haoxin Liu, Shangqing Xu, Zhiyuan Zhao, Lingkai Kong, Harshavardhan Kamarthi, Aditya B. Sasanur, Megha Sharma, Jiaming Cui, Qingsong Wen, Chao Zhang, B. Aditya Prakash

ICML 2023 Autoregressive Diffusion Model for Graph Generation Lingkai Kong, Jiaming Cui, Haotian Sun, Yuchen Zhuang, B. Aditya Prakash, Chao Zhang

AAAI 2023 Detecting Sources of Healthcare Associated Infections Hankyu Jang, Andrew Fu, Jiaming Cui, Methun Kamruzzaman, B. Aditya Prakash, Anil Vullikanti, Bijaya Adhikari, Sriram V. Pemmaraju

AAAI 2023 EINNs: Epidemiologically-Informed Neural Networks Alexander Rodríguez, Jiaming Cui, Naren Ramakrishnan, Bijaya Adhikari, B. Aditya Prakash

NeurIPS 2022 End-to-End Stochastic Optimization with Energy-Based Model Lingkai Kong, Jiaming Cui, Yuchen Zhuang, Rui Feng, B. Aditya Prakash, Chao Zhang

AAAI 2022 Provable Sensor Sets for Epidemic Detection over Networks with Minimum Delay Jack Heavey, Jiaming Cui, Chen Chen, B. Aditya Prakash, Anil Vullikanti

AAAI 2021 DeepCOVID: An Operational Deep Learning-Driven Framework for Explainable Real-Time COVID-19 Forecasting Alexander Rodríguez, Anika Tabassum, Jiaming Cui, Jiajia Xie, Javen Ho, Pulak Agarwal, Bijaya Adhikari, B. Aditya Prakash