Zhongyuan Liang

According to our database, Zhongyuan Liang authored at least 15 papers between 2021 and 2026.

Collaborative distances:

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

2026

OC-Distill: Ontology-aware Contrastive Learning with Cross-Modal Distillation for ICU Risk Prediction.

Zhongyuan Liang, Junhyung Jo, Hyang-Jung Lee, Sang Kyu Kim, Irene Y. Chen

CoRR, April, 2026

Falsifying Sparse Autoencoder Reasoning Features in Language Models.

George Ma, Zhongyuan Liang, Irene Y. Chen, Somayeh Sojoudi

CoRR, January, 2026

Local MDI+: Local Feature Importances for Tree-Based Models.

Zhongyuan Liang, Zachary T. Rewolinski, Abhineet Agarwal, Tiffany M. Tang, Bin Yu

Trans. Mach. Learn. Res., 2026

2025

Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025.

Emily Alsentzer, Marie-Laure Charpignon, Bill Chen, Niharika D'Souza, Jason A. Fries, Yixing Jiang, Aparajita Kashyap, Chanwoo Kim, Simon A. Lee, Aishwarya Mandyam, Ashery Christopher Mbilinyi, Nikita Mehandru, Nitish Nagesh, Brighton Nuwagira, Emma Pierson, Arvind Pillai, Akane Sano, Tanveer F. Syeda-Mahmood, Shashank Yadav, Elias Adhanom, Muhammad Umar Afza, Amelia Archer, Suhana Bedi, Vasiliki Bikia, Trenton Chang, George H. Chen, Winston Chen, Erica Chiang, Edward Choi, Octavia Ciora, Paz Dozie-Nnamah, Shaza Elsharief, Matthew Engelhard, Ali Eshragh, Jean Feng, Josh Fessel, Scott L. Fleming, Kei Sen Fong, Thomas Frost, Soham Gadgil, Judy Gichoya, Leeor Hershkovich, Sujeong Im, Bhavya Jain, Vincent Jeanselme, Furong Jia, Qixuan Jin, Yuxuan Jin, Daniel Kapash, Geetika Kapoor, Behdokht Kiafar, Matthias Kleiner, Stefan Kraft, Annika Kumar, Daeun Kyung, Zhongyuan Liang, Joanna Lin, Qianchu Liu, Chang Liu, Hongzhou Luan, Chris Lunt, Leopoldo Julian Lechuga López, Matthew B. A. McDermott, Shahriar Noroozizadeh, Connor O'Brien, YongKyung Oh, Mixail Ota, Stephen Pfohl, Meagan Pi, Tanmoy Sarkar Pias, Emma Rocheteau, Avishaan Sethi, Toru Shirakawa, Anita Silver, Neha Simha, Kamile Stankeviciute, Max Sunog, Peter Szolovits, Shengpu Tang, Jialu Tang, Aaron Tierney, John Valdovinos, Byron Wallace, Will Ke Wang, Peter Washington, Jeremy C. Weiss, Daniel Wolfe, Emily Wong, Hye Sun Yun, Xiaoman Zhang, Xiao Yu Cindy Zhang, Hayoung Jeong, Kaveri A. Thakoor

CoRR, October, 2025

Hybrid Meta-learners for Estimating Heterogeneous Treatment Effects.

Zhongyuan Liang, Lars van der Laan, Ahmed M. Alaa

CoRR, June, 2025

Multi-Objective Scheduling for Green Flexible Assembly Job-Shop System via Multi-Agent Deep Reinforcement Learning With Game Theory.

Xiao Wang, Zhongyuan Liang, Peisi Zhong, Dongmin Li, Hongqi Li, Mei Liu

IEEE Access, 2025

A High-Precision Pre-Bond TSV Delay-Fault Detection Technique Using Digitally Controlled Delay Lines.

Zhongyuan Liang, Huaguo Liang, Weikun Chen, Xianrui Dou

Proceedings of the IEEE International Test Conference in Asia, 2025

Treatment Non-Adherence Bias in Clinical Machine Learning: A Real-World Study on Hypertension Medication.

Zhongyuan Liang, Arvind Suresh, Irene Y. Chen

Proceedings of the Conference on Health, 2025

2024

Optimization of Biped Robot Walking Based on the Improved Particle Swarm Algorithm.

Chao Zhang, Mei Liu, Peisi Zhong, Shihao Yang, Zhongyuan Liang, Qingjun Song

Int. J. Intell. Syst., 2024

2023

A generic enhanced search framework based on genetic algorithm: Case study on job shop scheduling problem.

Zhongyuan Liang, Peisi Zhong, Mei Liu, Chao Zhang

J. Intell. Fuzzy Syst., October, 2023

Application research of a new neighbourhood structure with adaptive genetic algorithm for job shop scheduling problem.

Zhongyuan Liang, Mei Liu, Peisi Zhong, Chao Zhang

Int. J. Prod. Res., January, 2023

An adaptive balance optimization algorithm and its engineering application.

Chao Zhang, Mei Liu, Peisi Zhong, Qingjun Song, Zhongyuan Liang, Zhenyu Zhang, Xiao Wang

Adv. Eng. Informatics, January, 2023

A Learning Based Hypothesis Test for Harmful Covariate Shift.

Tom Ginsberg, Zhongyuan Liang, Rahul G. Krishnan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Exam Eustress: Designing Brief Online Interventions for Helping Students Identify Positive Aspects of Stress.

Mohi Reza, Angela M. Zavaleta Bernuy, Emmy Liu, Tong Li, Zhongyuan Liang, Calista K. Barber, Joseph Jay Williams

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2021

Risk Prediction in E-commerce Mobile Payment Based on PSO-SVM.

Xin Guan, Shufang Xie, Fengyuan Liu, Haibo Zhao, Zhongyuan Liang

Proceedings of the BIC 2021: International Conference on Bioinformatics and Intelligent Computing, 2021