Preprints (under review)

[17] Jiaming Cui, Jack Heavey, Eili Y. Klein, Gregory R. Madden, Anil K. Vullikanti, B. Aditya Prakash. Combining Agent-based Models and Neural Networks to Identify Importation and New Acquisition Cases of Healthcare Associated Infections (submitted to PNAS, under major revision).

[16] Jiaming Cui, Arash Haddadan, A S M Ahsan-Ul Haque, Jilles Vreeken, Bijaya Adhikari, Anil Vullikanti, B. Aditya Prakash. Information Theoretic Model Selection for Accurately Estimating Unreported COVID-19 Infections (submitted to Scientific Reports, under major revision).

[15] Lingkai Kong, Wenhao Mu, Jiaming Cui, Yuchen Zhuang, B. Aditya Prakash, Bo Dai, Chao Zhang. DF2: Distribution-Free Decision-Focused Learning (submitted to UAI 2024 under review).

Publications

[14] Jiaming Cui, Jack Heavey, Leo Lin, Eili Y. Klein, Gregory R. Madden, Costi D. Sifri, Bryan Lewis, Anil K. Vullikanti, B. Aditya Prakash. Modeling Relaxed Policies for Discontinuation of Methicillin Resistant Staphylococcus aureus Contact Precautions. ICHE 2024. [PDF]

[13] Vivek Anand*, Jiaming Cui*, Jack Heavey, Anil Vullikanti, B. Aditya Prakash. H2ABM: Heterogeneous Agent-based Model on Hypergraphs to Capture Group Interactions. SDM 2024 (Houston). (SDM 2024 Best Poster Award) [PDF]

[12] Jiaming Cui*, Sungjun Cho*, Methun Kamruzzaman, Matthew Bielskas, Anil Vullikanti, B. Aditya Prakash. Using Spectral Characterization to Identify Healthcare-associated Infection (HAI) Patients for Clinical Contact Precaution. Scientific Reports 2023. [PDF]

[11] Jiaming Cui, Jack Heavey, Leo Lin, Eili Y. Klein, Gregory R. Madden, Costi D. Sifri, Bryan Lewis, Anil K. Vullikanti, B. Aditya Prakash. Modeling Relaxed Policies for Discontinuation of Methicillin Resistant Staphylococcus aureus Contact Precautions. (poster). MIDAS 2023 (Atlanta).

[10] Lingkai Kong, Jiaming Cui, Haotian Sun, Yuchen Zhuang, B. Aditya Prakash, Chao Zhang. Autoregressive Diffusion Model for Graph Generation. ICML 2023 (Hawaii). [PDF]

[9] Hankyu Jang, Andrew Fu, Jiaming Cui, Methun Kamruzzaman, B. Aditya Prakash, Anil Vullikanti, Bijaya Adhikari, Sriram Pemmaraju. Detecting Sources of Healthcare Associated Infections. AAAI 2023 (Washington DC). [PDF]

[8] Alexander Rodríguez, Jiaming Cui, Naren Ramakrishnan, Bijaya Adhikari and B. Aditya Prakash. EINNs: Epidemiologically-Informed Neural Networks. AAAI 2023 (Washington DC). [PDF]

[7] Jiaming Cui, Arash Haddadan, A S M Ahsan Ul Haque, Bijaya Adhikari, Anil Vullikanti and B. Aditya Prakash. Information Theoretic Model Selection for Accurately Estimating Unreported COVID-19 Infections (poster). MIDAS 2022 (Washington DC).

[6] Lingkai Kong, Jiaming Cui, Yuchen Zhuang, Rui Feng, B. Aditya Prakash, Chao Zhang. End-to-end Stochastic Programming with Energy-based Model. NeurIPS 2022 (New Orleans). [PDF]

[5] Cramer, Estee Y., et al. [multiple co-authors, including Jiaming Cui] Evaluation of Individual and Ensemble Probabilistic Forecasts of COVID-19 Mortality in the United States. PNAS 2022. [PDF]

[4] Cramer, Estee Y., et al. [multiple co-authors, including Jiaming Cui] The United States Covid-19 Forecast Hub Dataset. Scientific data 2022. [PDF]

[3] Jack Heavey, Jiaming Cui, Chen Chen, B. Aditya Prakash. Provable Sensor Sets for Epidemic Detection over Networks with Minimum Delay. AAAI 2022 (Vancouver BC). [PDF]

[2] Alexander Rodríguez, Anika Tabassum, Jiaming Cui, Jiajia Xie, Javen Ho, Pulak Agarwal, Bijaya Adhikari and B. Aditya Prakash. DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting. IAAI 2021 (virtual). [PDF]

[1] Jiaming Cui, Huaying Wu, Luoyi Fu, XIaoying Gan. Poster: De-anonymizing Bitcoin Networks: an IP Matching Method via Heuristic Approach. ACM TURC 2019 (Chengdu). [PDF]