On the Convergence of Monte Carlo UCB for Random-Length Episodic MDPs. - Zixuan Dong; Che Wang; Keith W. Ross (CoRR, 2022)

Pre-training with Synthetic Data Helps Offline Reinforcement Learning. - Zecheng Wang; Che Wang; Zixuan Dong; Keith W. Ross (ICLR, 2024)

Temporal Closing Path for PLM-based Temporal Knowledge Graph Completion. - Xin Zhou; Yongxue Shan; Zixuan Dong; Haijiao Liu; Xiaodong Wang (IJCNN, 2024)

FingerMamba: Mamba-based Efficient Multi-tab Website Fingerprinting. - Lin Liu 018; Ziling Wei; Shuhui Chen; Zixuan Dong; Jinshu Su (IPCCC, 2024)

The Prevalence of Neural Collapse in Neural Multivariate Regression. - George Andriopoulos; Zixuan Dong; Li Guo; Zifan Zhao; Keith W. Ross (NeurIPS, 2024)

Cross Entropy versus Label Smoothing: A Neural Collapse Perspective. - Li Guo; Keith W. Ross; Zifan Zhao; George Andriopoulos; Shuyang Ling; Yufeng Xu; Zixuan Dong (CoRR, 2024)

EffiQA: Efficient Question-Answering with Strategic Multi-Model Collaboration on Knowledge Graphs. - Zixuan Dong; Baoyun Peng; Yufei Wang; Jia Fu; Xiaodong Wang; Yongxue Shan; Xin Zhou (CoRR, 2024)

TagSleep3D: RF-based 3D Sleep Posture Skeleton Recognition. - Chen Liu 002; Zixuan Dong; Li Huang; Wenlong Yan; Xin Wang 004; Dingyi Fang; Xiaojiang Chen (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2024)

EffiQA: Efficient Question-Answering with Strategic Multi-Model Collaboration on Knowledge Graphs. - Zixuan Dong; Baoyun Peng; Yufei Wang; Jia Fu; Xiaodong Wang; Xin Zhou; Yongxue Shan; Kangchen Zhu; Weiguo Chen (COLING, 2025)

SPEA: Large-Scale Entity Alignment via Self-Partitioning. - Weiguo Chen; Changjian Wang; Kele Xu; Yuan Yuan 034; Wei Chen; Zixuan Dong (ICASSP, 2025)

FlexKG: A Flexible Framework for Enhanced Reasoning Over Knowledge Graph with Large Language Model. - Jia Fu; Zixuan Dong; Yufei Wang; Yongfu Zha; Jie Peng; Jiaqian Yin; Xin Zhou; Xiaodong Wang (ICIC (23), 2025)

MiSum: Multi-modality Heterogeneous Code Graph Learning for Multi-intent Binary Code Summarization. - Kangchen Zhu; Zhiliang Tian; Shangwen Wang; Weiguo Chen; Zixuan Dong; Mingyue Leng; Xiaoguang Mao (Proc. ACM Softw. Eng., 2025)

Cross Entropy versus Label Smoothing: A Neural Collapse Perspective. - Li Guo; George Andriopoulos; Zifan Zhao; Zixuan Dong; Shuyang Ling; Keith W. Ross (Trans. Mach. Learn. Res., 2025)

Is Optimal Transport Necessary for Inverse Reinforcement Learning? - Zixuan Dong; Yumi Omori; Keith W. Ross (CoRR, 2025)

Should We Ever Prefer Decision Transformer for Offline Reinforcement Learning? - Yumi Omori; Zixuan Dong; Keith W. Ross (CoRR, 2025)

LeAdQA: LLM-Driven Context-Aware Temporal Grounding for Video Question Answering. - Xinxin Dong; Baoyun Peng; Haokai Ma; Yufei Wang; Zixuan Dong; Fei Hu; Xiaodong Wang (CoRR, 2025)