JiaruiLi

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• Joined on 2026-04-15

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3

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JiaruiLi pushed to master at JiaruiLi/DeepHealth 2026-06-26 11:50:24 +08:00

263267f583 Use DataLoader for burden readouts

JiaruiLi pushed to master at JiaruiLi/DeepHealth 2026-06-26 11:37:02 +08:00

2b0b20d231 Use fork for Linux burden workers

JiaruiLi pushed to master at JiaruiLi/DeepHealth 2026-06-26 11:27:53 +08:00

c5ecbb79f2 Keep burden reduction on GPU

JiaruiLi pushed to master at JiaruiLi/DeepHealth 2026-06-26 11:15:51 +08:00

63df61e1dd Batch burden index readout computation

JiaruiLi pushed to master at JiaruiLi/DeepHealth 2026-06-26 10:52:05 +08:00

ee7d363e3d Support multi-GPU burden index computation

JiaruiLi pushed to master at JiaruiLi/DeepHealth 2026-06-26 10:42:50 +08:00

e400dab887 Add burden mapping files and landmark computation

JiaruiLi pushed to master at JiaruiLi/DeepHealth 2026-06-25 17:17:09 +08:00

a3bf3a0cd4 Add burden index computation interfaces

JiaruiLi pushed to master at JiaruiLi/DeepHealth 2026-06-22 17:36:32 +08:00

0138cbd95b Add calendar-dated event index utilities

JiaruiLi pushed to master at JiaruiLi/DeepHealth 2026-06-22 09:40:19 +08:00

56421eb3f5 Add dist_mode parameter to evaluate_landmark_auc for improved flexibility in evaluation

JiaruiLi pushed to master at JiaruiLi/DeepHealth 2026-06-20 12:14:04 +08:00

615f395058 Refactor evaluation device handling in AUC scripts for improved clarity and flexibility

JiaruiLi pushed to master at JiaruiLi/DeepHealth 2026-06-20 11:26:12 +08:00

e5ecb714ba Refactor loss computation and model input handling for improved clarity and efficiency

JiaruiLi pushed to master at JiaruiLi/DeepHealth 2026-06-18 16:26:03 +08:00

c3cac6dcea Refactor dataset.py to remove caching functionality and related methods for improved simplicity

JiaruiLi pushed to master at JiaruiLi/DeepHealth 2026-06-18 13:07:46 +08:00

aa8ec5c3ac Refactor code structure for improved readability and maintainability

JiaruiLi pushed to master at JiaruiLi/DeepHealth 2026-06-17 14:27:16 +08:00

1ea72e9133 Refactor DeepHealth model to expand extra-info token handling and update output structure

JiaruiLi pushed to master at JiaruiLi/DeepHealth 2026-06-17 11:05:18 +08:00

1757bcd25b Refactor DeepHealth model and related components

JiaruiLi pushed to master at JiaruiLi/DeepHealth 2026-06-15 14:54:16 +08:00

27aefb2f90 Refactor run directory creation to use a unique naming function in training scripts

JiaruiLi pushed to master at JiaruiLi/DeepHealth 2026-06-15 14:35:20 +08:00

36ec36c8a8 Add time attention mask handling and baseline class time computation to DeepHealth model

JiaruiLi pushed to master at JiaruiLi/DeepHealth 2026-06-15 14:10:19 +08:00

c3e49db859 Enhance DeepHealth model to incorporate CHECKUP state tokens in next-step training and evaluation, update dataset cache versioning, and improve handling of observed event histories.

JiaruiLi pushed to master at JiaruiLi/DeepHealth 2026-06-15 10:05:26 +08:00

593ecd2e71 Revert cross-attention integration into GPTBlock

JiaruiLi pushed to master at JiaruiLi/DeepHealth 2026-06-13 17:02:13 +08:00

c87c3b9f7c Add cross-attention support to GPTBlock and update DeepHealth model integration