Guo, Ruocheng

13 publications

IJCAI 2025 DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation Maolin Wang, Tianshuo Wei, Sheng Zhang, Ruocheng Guo, Wanyu Wang, Shanshan Ye, Lixin Zou, Xuetao Wei, Xiangyu Zhao
NeurIPS 2025 Learning Counterfactual Outcomes Under Rank Preservation Peng Wu, Haoxuan Li, Chunyuan Zheng, Yan Zeng, Jiawei Chen, Yang Liu, Ruocheng Guo, Kun Zhang
IJCAI 2025 Optimal Policy Adaptation Under Covariate Shift Xueqing Liu, Qinwei Yang, Zhaoqing Tian, Ruocheng Guo, Peng Wu
ICLR 2024 Fair Classifiers That Abstain Without Harm Tongxin Yin, Jean-Francois Ton, Ruocheng Guo, Yuanshun Yao, Mingyan Liu, Yang Liu
NeurIPS 2024 Learning the Optimal Policy for Balancing Short-Term and Long-Term Rewards Qinwei Yang, Xueqing Liu, Yan Zeng, Ruocheng Guo, Yang Liu, Peng Wu
NeurIPS 2023 Equal Opportunity of Coverage in Fair Regression Fangxin Wang, Lu Cheng, Ruocheng Guo, Kay Liu, Philip S Yu
NeurIPSW 2023 Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models' Alignment Yang Liu, Yuanshun Yao, Jean-Francois Ton, Xiaoying Zhang, Ruocheng Guo, Hao Cheng, Yegor Klochkov, Muhammad Faaiz Taufiq, Hang Li
NeurIPS 2022 CLEAR: Generative Counterfactual Explanations on Graphs Jing Ma, Ruocheng Guo, Saumitra Mishra, Aidong Zhang, Jundong Li
IJCAI 2022 MLP4Rec: A Pure MLP Architecture for Sequential Recommendations Muyang Li, Xiangyu Zhao, Chuan Lyu, Minghao Zhao, Runze Wu, Ruocheng Guo
ECML-PKDD 2022 Supervised Graph Contrastive Learning for Few-Shot Node Classification Zhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu
IJCAI 2021 Multi-Cause Effect Estimation with Disentangled Confounder Representation Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li
IJCAI 2020 IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data Ruocheng Guo, Jundong Li, Yichuan Li, K. Selçuk Candan, Adrienne Raglin, Huan Liu
IJCAI 2018 INITIATOR: Noise-Contrastive Estimation for Marked Temporal Point Process Ruocheng Guo, Jundong Li, Huan Liu