Zhongyuan Liang

16 papers A* 2Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Falsifying Sparse Autoencoder Reasoning Features in Language Models.
CoRR
George Ma, Zhongyuan Liang, Irene Y. Chen, Somayeh Sojoudi
2025 — conf
A High-Precision Pre-Bond TSV Delay-Fault Detection Technique Using Digitally Controlled Delay Lines.
ITC-Asia
Zhongyuan Liang, Huaguo Liang, Weikun Chen, Xianrui Dou
2025 J jnl
Hybrid Meta-learners for Estimating Heterogeneous Treatment Effects.
CoRR
Zhongyuan Liang, Lars van der Laan, Ahmed M. Alaa
2025 J jnl
Local MDI+: Local Feature Importances for Tree-Based Models.
CoRR
Zhongyuan Liang, Zachary T. Rewolinski, Abhineet Agarwal, Tiffany M. Tang, Bin Yu
2025 J jnl
Multi-Objective Scheduling for Green Flexible Assembly Job-Shop System via Multi-Agent Deep Reinforcement Learning With Game Theory.
IEEE Access
Xiao Wang, Zhongyuan Liang, Peisi Zhong, Dongmin Li, Hongqi Li, Mei Liu
2025 J jnl
Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025.
CoRR
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
2025 — conf
Treatment Non-Adherence Bias in Clinical Machine Learning: A Real-World Study on Hypertension Medication.
CHIL
Zhongyuan Liang, Arvind Suresh, Irene Y. Chen
2025 J jnl
Treatment Non-Adherence Bias in Clinical Machine Learning: A Real-World Study on Hypertension Medication.
CoRR
Zhongyuan Liang, Arvind Suresh, Irene Y. Chen
2024 J jnl
Optimization of Biped Robot Walking Based on the Improved Particle Swarm Algorithm.
Int. J. Intell. Syst.
Chao Zhang, Mei Liu, Peisi Zhong, Shihao Yang, Zhongyuan Liang, Qingjun Song
2023 A* conf
A Learning Based Hypothesis Test for Harmful Covariate Shift.
ICLR
Tom Ginsberg, Zhongyuan Liang, Rahul G. Krishnan
2023 J jnl
A generic enhanced search framework based on genetic algorithm: Case study on job shop scheduling problem.
J. Intell. Fuzzy Syst.
Zhongyuan Liang, Peisi Zhong, Mei Liu, Chao Zhang
2023 J jnl
An adaptive balance optimization algorithm and its engineering application.
Adv. Eng. Informatics
Chao Zhang, Mei Liu, Peisi Zhong, Qingjun Song, Zhongyuan Liang, Zhenyu Zhang, Xiao Wang
2023 J jnl
Application research of a new neighbourhood structure with adaptive genetic algorithm for job shop scheduling problem.
Int. J. Prod. Res.
Zhongyuan Liang, Mei Liu, Peisi Zhong, Chao Zhang
2023 A* conf
Exam Eustress: Designing Brief Online Interventions for Helping Students Identify Positive Aspects of Stress.
CHI
Mohi Reza, Angela M. Zavaleta Bernuy, Emmy Liu, Tong Li, Zhongyuan Liang, Calista K. Barber, Joseph Jay Williams
2022 J jnl
A Learning Based Hypothesis Test for Harmful Covariate Shift.
CoRR
Tom Ginsberg, Zhongyuan Liang, Rahul G. Krishnan
2021 — conf
Risk Prediction in E-commerce Mobile Payment Based on PSO-SVM.
BIC
Xin Guan, Shufang Xie, Fengyuan Liu, Haibo Zhao, Zhongyuan Liang