Chengyuan Yao

17 papers A* 2A 1B 2Journal 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
EDM-ARS: A Domain-Specific Multi-Agent System for Automated Educational Data Mining Research.
CoRR
Chenguang Pan, Zhou Zhang, Weixuan Xiao, Chengyuan Yao
2026 J jnl
PRIME: A Process-Outcome Alignment Benchmark for Verifiable Reasoning in Mathematics and Engineering.
CoRR
Xiangfeng Wang, Hangyu Guo, Yanlin Lai, Mitt Huang, Liang Zhao, Chengyuan Yao, Yinmin Zhang, Qi Han, Xiaoxiao Ren, Chun Yuan, Tong Xu, Zheng Ge, Xiangyu Zhang, Daxin Jiang
2026 J jnl
PaCoRe: Learning to Scale Test-Time Compute with Parallel Coordinated Reasoning.
CoRR
Jingcheng Hu, Yinmin Zhang, Shijie Shang, Xiaobo Yang, Yue Peng, Zhewei Huang, Hebin Zhou, Xin Wu, Jie Cheng, Fanqi Wan, Xiangwen Kong, Chengyuan Yao, Kaiwen Yan, Ailin Huang, Hongyu Zhou, Qi Han, Zheng Ge, Daxin Jiang, Xiangyu Zhang, Heung-Yeung Shum
2026 J jnl
R-Align: Enhancing Generative Reward Models through Rationale-Centric Meta-Judging.
CoRR
Yanlin Lai, Mitt Huang, Hangyu Guo, Xiangfeng Wang, Haodong Li, Shaoxiong Zhan, Liang Zhao, Chengyuan Yao, Yinmin Zhang, Qi Han, Chun Yuan, Zheng Ge, Xiangyu Zhang, Daxin Jiang
2026 J jnl
STEP3-VL-10B Technical Report.
CoRR
Ailin Huang, Chengyuan Yao, Chunrui Han, Fanqi Wan, Multimodal Intelligence Team, StepFun, Jianjian Sun, Jingcheng Hu, Kangheng Lin, Liang Zhao, Mitt Huang, Song Yuan, Wenwen Qu, Xiangfeng Wang, Yanlin Lai, Yingxiu Zhao, Yinmin Zhang, Yukang Shi, Yuyang Chen, Zejia Weng, Ziyang Meng, Ang Li, Aobo Kong, Bo Dong
2025 J jnl
Reward Shaping to Mitigate Reward Hacking in RLHF.
CoRR
Jiayi Fu, Xuandong Zhao, Chengyuan Yao, Heng Wang, Qi Han, Yanghua Xiao
2025 J jnl
Step-Audio-R1 Technical Report.
CoRR
Fei Tian, Xiangyu Tony Zhang, Yuxin Zhang, Haoyang Zhang, Yuxin Li, Daijiao Liu, Yayue Deng, Donghang Wu, Jun Chen, Liang Zhao, Chengyuan Yao, Hexin Liu, Eng Siong Chng, Xuerui Yang, Xiangyu Zhang, Daxin Jiang, Gang Yu
2025 A conf
Towards Fair and Privacy-Aware Transfer Learning for Educational Predictive Modeling: A Case Study on Retention Prediction in Community Colleges.
LAK
Chengyuan Yao, Carmen Cortez, Renzhe Yu
2025 J jnl
Towards Fair and Privacy-Aware Transfer Learning for Educational Predictive Modeling: A Case Study on Retention Prediction in Community Colleges.
CoRR
Chengyuan Yao, Carmen Cortez, Renzhe Yu
2025 B conf
Understanding Predictive Models of Student Success with a Multiverse Analysis.
EDM
Yunxuan Tang, Emma Harvey, Chengyuan Yao, Renzhe Yu, René F. Kizilcec, Christopher Brooks
2025 J jnl
When the Past Misleads: Rethinking Training Data Expansion Under Temporal Distribution Shifts.
CoRR
Chengyuan Yao, Yunxuan Tang, Christopher Brooks, René F. Kizilcec, Renzhe Yu
2024 B conf
Technology-Based Instructional Strategies Show Promise in Improving Self-Regulated Learning Skills at Broad-Access Postsecondary Institutions.
L@S
Renzhe Yu, Hui Yang, Xiaoying Lin, Chengyuan Yao, Paul Burkander, Krystal Thomas, Jessica Mislevy
2023 A* conf
Improving Robust Fariness via Balance Adversarial Training.
AAAI
Chunyu Sun, Chenye Xu, Chengyuan Yao, Siyuan Liang, Yichao Wu, Ding Liang, Xianglong Liu, Aishan Liu
2022 J jnl
Improving Robust Fairness via Balance Adversarial Training.
CoRR
Chunyu Sun, Chenye Xu, Chengyuan Yao, Siyuan Liang, Yichao Wu, Ding Liang, Xianglong Liu, Aishan Liu
2021 A* conf
Automated Discovery of Adaptive Attacks on Adversarial Defenses.
NeurIPS
Chengyuan Yao, Pavol Bielik, Petar Tsankov, Martin T. Vechev
2021 J jnl
Automated Discovery of Adaptive Attacks on Adversarial Defenses.
CoRR
Chengyuan Yao, Pavol Bielik, Petar Tsankov, Martin T. Vechev
2020 J jnl
Deep Learning for Post-Processing Ensemble Weather Forecasts.
CoRR
Peter Grönquist, Chengyuan Yao, Tal Ben-Nun, Nikoli Dryden, Peter Dueben, Shigang Li, Torsten Hoefler