News | Bojian Hou

Sep 2026 Our paper on evaluating calibration in open-ended question answering was accepted at NeurIPS 2026. [paper]

Aug 2026 Presented Kunlun at KDD 2026 in Jeju, Korea. [paper]

Aug 2026 Our 3D vision-language framework for multi-study CT/MRI report generation was accepted at MLMI 2026. [paper]

Jul 2026 Our bilevel optimization approach to LLM calibration was accepted at COLM 2026. [paper]

Jul 2026 Kunlun, on scaling laws for massive-scale recommendation systems, was accepted at KDD 2026 (ADS Track). [paper]

Oct 2025 IRIS, on interpretable risk clustering for survival analysis, was accepted at IEEE BigData 2025. [paper]

Oct 2025 Our study of dementia caregivers' social media content with LLM-based topic modeling was accepted by Innovation in Aging. [paper]

Sep 2025 Our paper on stochastic regret guarantees for online bilevel optimization was accepted at NeurIPS 2025. [paper]

Aug 2025 Two papers accepted at ACM BCB 2025; the tabular LLM paper on few-shot Alzheimer's disease diagnosis won the Best Paper Award. [paper] [paper]

Jul 2025 Joined Meta as an AI Research Scientist.

Jun 2025 Organizing the Vision-Based AI for Digital Health (VADH) workshop at ICCV 2025.

May 2025 MentalChat16K was accepted at KDD 2025 as an oral presentation. [paper]

May 2025 Our calibration-aware fine-tuning approach for aligned LLMs was accepted at ICML 2025. [paper]

Jan 2025 Our paper on fine-tuning attention modules for task arithmetic was accepted at ICLR 2025. [paper]

Nov 2024 Three papers accepted at the AMIA 2025 Informatics Summit. [paper] [paper] [paper]

Oct 2024 SEFD, a framework for detecting LLM-generated text, was accepted at IEEE BigData 2024. [paper]

Oct 2024 Manifoldron was accepted by IEEE Transactions on Neural Networks and Learning Systems. [paper]

Sep 2024 Our paper on fairness-aware estimation of graphical models was accepted at NeurIPS 2024. [paper]

Sep 2024 MG-TCCA was accepted by IEEE/ACM Transactions on Computational Biology and Bioinformatics. [paper]

Sep 2024 DALK was accepted at EMNLP 2024 Findings. [paper]

Sep 2024 Our paper on interpretable association mining for dementia diagnosis was accepted at PSB 2025. [paper]

Jun 2024 Two papers accepted at the AMIA 2024 Annual Symposium; the paper on fairness in detecting mild cognitive impairment won the Distinguished Paper Award. [paper] [paper]

Jun 2024 Interpretable Deep Clustering Survival Machines was accepted by Medical Image Analysis. [paper]

Apr 2024 Our quadratic neuron-empowered autoencoder for anomaly detection was accepted by IEEE Transactions on Artificial Intelligence. [paper]

Jan 2024 Our regret analysis of online alternating gradient methods for bilevel optimization was accepted at AISTATS 2024. [paper]

Dec 2023 Three papers accepted at the AMIA 2024 Informatics Summit. [paper] [paper] [paper]

Oct 2023 Our paper on online learning from evolving feature spaces with deep variational models was accepted by IEEE TKDE. [paper]

Sep 2023 Fair Canonical Correlation Analysis was accepted at NeurIPS 2023. [paper]

Jul 2023 Multi-Group Tensor Canonical Correlation Analysis was accepted at ACM BCB 2023 and won the Best Paper Award. [paper]

May 2023 Our paper on fairness-aware class imbalanced learning on multiple subgroups was accepted at UAI 2023. [paper]

Apr 2023 Our paper on thoracic disease detection with chest X-rays from PubMed Central was accepted by Computers in Biology and Medicine. [paper]

Jan 2023 Deep Clustering Survival Machines with Interpretable Expert Distributions was accepted at ISBI 2023. [paper]

Dec 2022 Our study of diagnosis bias in deep learning for glaucoma was accepted at the AMIA 2023 Informatics Summit. [paper]

Jun 2022 Online Deep Learning from Doubly-Streaming Data was accepted at ACM MM 2022. [paper]

Jun 2022 Our paper on automated glaucoma diagnosis from fundus images was accepted by Scientific Reports. [paper]

Nov 2021 Received the Excellent Doctoral Dissertation Award of Jiangsu Province.

Sep 2021 Received the Excellent Doctoral Dissertation Award of Nanjing University.

Aug 2021 Online Learning in Variable Feature Spaces with Mixed Data was accepted at ICDM 2021. [paper]

Apr 2021 Prediction with Unpredictable Feature Evolution was accepted by IEEE Transactions on Neural Networks and Learning Systems. [paper]

Dec 2020 Received the JSAI Excellent Doctoral Dissertation Award.

Dec 2020 Storage Fit Learning with Feature Evolvable Streams was accepted at AAAI 2021. [paper]

Jun 2020 Received the CS Excellent Doctoral Dissertation Award of Nanjing University.

May 2020 Defended my Ph.D. dissertation.

Apr 2020 Received the Outstanding Graduate Student Award of Nanjing University.