Wancong Zhang

According to our database, Wancong Zhang authored at least 7 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Learning from Reward-Free Offline Data: A Case for Planning with Latent Dynamics Models.

Vlad Sobal, Wancong Zhang, Kynghyun Cho, Randall Balestriero, Tim G. J. Rudner, Yann LeCun

CoRR, February, 2025

Bidirectional Mendelian randomization and colocalization analysis of gut microbiota on lipid profile.

Yu Cui, Yanzhu Chen, Mengting Hu, He Zhou, Jiarui Guo, Qijia Wang, Zaihua Xu, Liyun Chen, Wancong Zhang, Shijie Tang

Comput. Biol. Chem., 2025

2024

Light-weight Probing of Unsupervised Representations for Reinforcement Learning.

Wancong Zhang, Anthony GX-Chen, Vlad Sobal, Yann LeCun, Nicolas Carion

RLJ, 2024

2023

AttnOD: An Attention-Based OD Prediction Model with Adaptive Graph Convolution.

Wancong Zhang, Gang Wang, Xu Liu, Tongyu Zhu

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2021

MixUp Training Leads to Reduced Overfitting and Improved Calibration for the Transformer Architecture.

Wancong Zhang, Ieshan Vaidya

CoRR, 2021

A comprehensive EHR timeseries pre-training benchmark.

Matthew B. A. McDermott, Bret Nestor, Evan Kim, Wancong Zhang, Anna Goldenberg, Peter Szolovits, Marzyeh Ghassemi

Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021

2020

A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series Data.

Matthew B. A. McDermott, Bret Nestor, Evan Kim, Wancong Zhang, Anna Goldenberg, Peter Szolovits, Marzyeh Ghassemi

CoRR, 2020