Ding, Xiao

11 publications

NeurIPS 2025 UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection Yang Zhao, Kai Xiong, Xiao Ding, Li Du, YangouOuyang, Zhouhao Sun, Jiannan Guan, Wenbin Zhang, Bin Liu, Dong Hu, Bing Qin, Ting Liu

AAAI 2024 Link Prediction in Multilayer Networks via Cross-Network Embedding Guojing Ren, Xiao Ding, Xiao-Ke Xu, Hai-Feng Zhang

NeurIPS 2024 Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance Kai Xiong, Xiao Ding, Ting Liu, Bing Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Yixin Cao

AAAI 2023 Self-Supervised Logic Induction for Explainable Fuzzy Temporal Commonsense Reasoning Bibo Cai, Xiao Ding, Zhouhao Sun, Bing Qin, Ting Liu, Baojun Wang, Lifeng Shang

AAAI 2022 Mitigating Reporting Bias in Semi-Supervised Temporal Commonsense Inference with Probabilistic Soft Logic Bibo Cai, Xiao Ding, Bowen Chen, Li Du, Ting Liu

IJCAI 2020 Guided Generation of Cause and Effect Zhongyang Li, Xiao Ding, Ting Liu, J. Edward Hu, Benjamin Van Durme

IJCAI 2019 Story Ending Prediction by Transferable BERT Zhongyang Li, Xiao Ding, Ting Liu

IJCAI 2018 Constructing Narrative Event Evolutionary Graph for Script Event Prediction Zhongyang Li, Xiao Ding, Ting Liu

IJCAI 2018 Domain Adaptation via Tree Kernel Based Maximum Mean Discrepancy for User Consumption Intention Identification Xiao Ding, Bibo Cai, Ting Liu, Qiankun Shi

IJCAI 2015 Deep Learning for Event-Driven Stock Prediction Xiao Ding, Yue Zhang, Ting Liu, Junwen Duan

AAAI 2015 Mining User Consumption Intention from Social Media Using Domain Adaptive Convolutional Neural Network Xiao Ding, Ting Liu, Junwen Duan, Jian-Yun Nie