Chu, Xu

23 publications

ICLR 2025 DRESSing up LLM: Efficient Stylized Question-Answering via Style Subspace Editing Xinyu Ma, Yifeng Xu, Yang Lin, Tianlong Wang, Xu Chu, Xin Gao, Junfeng Zhao, Yasha Wang

AAAI 2025 DearLLM: Enhancing Personalized Healthcare via Large Language Models-Deduced Feature Correlations Yongxin Xu, Xinke Jiang, Xu Chu, Rihong Qiu, Yujie Feng, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie

ICML 2025 Efficient Graph Continual Learning via Lightweight Graph Neural Tangent Kernels-Based Dataset Distillation Rihong Qiu, Xinke Jiang, Yuchen Fang, Hongbin Lai, Hao Miao, Xu Chu, Junfeng Zhao, Yasha Wang

IJCAI 2025 Game Theory Meets Large Language Models: A Systematic Survey Haoran Sun, Yusen Wu, Yukun Cheng, Xu Chu

AAAI 2025 KnowPO: Knowledge-Aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models Ruizhe Zhang, Yongxin Xu, Yuzhen Xiao, Runchuan Zhu, Xinke Jiang, Xu Chu, Junfeng Zhao, Yasha Wang

NeurIPS 2025 MODEL SHAPLEY: Find Your Ideal Parameter Player via One Gradient Backpropagation Xu Chu, Xinke Jiang, Rihong Qiu, Jiaran Gao, Junfeng Zhao

NeurIPS 2025 Mechanism Design for LLM Fine-Tuning with Multiple Reward Models Haoran Sun, Yurong Chen, Siwei Wang, Xu Chu, Wei Chen, Xiaotie Deng

NeurIPS 2025 Stackelberg Self-Annotation: A Robust Approach to Data-Efficient LLM Alignment Xu Chu, Zhixin Zhang, Tianyu Jia, Yujie Jin

ICLR 2025 TPO: Aligning Large Language Models with Multi-Branch & Multi-Step Preference Trees Weibin Liao, Xu Chu, Yasha Wang

ICML 2024 Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet Zeyang Zhang, Xin Wang, Yijian Qin, Hong Chen, Ziwei Zhang, Xu Chu, Wenwu Zhu

ICML 2024 Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation Xinyu Ma, Xu Chu, Zhibang Yang, Yang Lin, Xin Gao, Junfeng Zhao

NeurIPS 2024 RAGraph: A General Retrieval-Augmented Graph Learning Framework Xinke Jiang, Rihong Qiu, Yongxin Xu, Wentao Zhang, Yichen Zhu, Ruizhe Zhang, Yuchen Fang, Xu Chu, Junfeng Zhao, Yasha Wang

NeurIPS 2024 SMART: Towards Pre-Trained Missing-Aware Model for Patient Health Status Prediction Zhihao Yu, Xu Chu, Yujie Jin, Yasha Wang, Junfeng Zhao

ICMLW 2024 SOLMformer - Incorporating Sequence and Observation Level Metadata for Categorical Time Series Modeling Yamini Vibha Ananth, Gregory Benton, Jingxing Fang, Jerry Junyang Cheung, Xu Chu, Cong Yu

IJCAI 2024 Temporal Domain Generalization via Learning Instance-Level Evolving Patterns Yujie Jin, Zhibang Yang, Xu Chu, Liantao Ma

NeurIPS 2023 Fused Gromov-Wasserstein Graph Mixup for Graph-Level Classifications Xinyu Ma, Xu Chu, Yasha Wang, Yang Lin, Junfeng Zhao, Liantao Ma, Wenwu Zhu

CVPR 2023 Improving Generalization of Meta-Learning with Inverted Regularization at Inner-Level Lianzhe Wang, Shiji Zhou, Shanghang Zhang, Xu Chu, Heng Chang, Wenwu Zhu

ICLR 2023 Learning Hyper Label Model for Programmatic Weak Supervision Renzhi Wu, Shen-En Chen, Jieyu Zhang, Xu Chu

ICML 2023 Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks Xu Chu, Yujie Jin, Xin Wang, Shanghang Zhang, Yasha Wang, Wenwu Zhu, Hong Mei

ICML 2022 DNA: Domain Generalization with Diversified Neural Averaging Xu Chu, Yujie Jin, Wenwu Zhu, Yasha Wang, Xin Wang, Shanghang Zhang, Hong Mei

IJCAI 2022 Domain Generalization Through the Lens of Angular Invariance Yujie Jin, Xu Chu, Yasha Wang, Wenwu Zhu

ICML 2020 Distance Metric Learning with Joint Representation Diversification Xu Chu, Yang Lin, Yasha Wang, Xiting Wang, Hailong Yu, Xin Gao, Qi Tong

IJCAI 2019 MLRDA: A Multi-Task Semi-Supervised Learning Framework for Drug-Drug Interaction Prediction Xu Chu, Yang Lin, Yasha Wang, Leye Wang, Jiangtao Wang, Jingyue Gao