Predicting publication productivity for authors: Shallow or deep architecture? - Wumei Du; Zheng Xie; Yiqin Lv (Scientometrics, 2021)

A multi-view method of scientific paper classification via heterogeneous graph embeddings. - Yiqin Lv; Zheng Xie; Xiaojing Zuo; Yiping Song (Scientometrics, 2022)

Multi-scale Graph Pooling Approach with Adaptive Key Subgraph for Graph Representations. - Yiqin Lv; Zhiliang Tian; Zheng Xie; Yiping Song (CIKM, 2023)

A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm. - Qi Wang 005; Yiqin Lv; Yang-He Feng; Zheng Xie; Jincai Huang 001 (NeurIPS, 2023)

Large-scale Generative Simulation Artificial Intelligence: the Next Hotspot in Generative AI. - Qi Wang 005; Yanghe Feng; Jincai Huang 001; Yiqin Lv; Zheng Xie; Xiaoshan Gao (CoRR, 2023)

Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning. - Yiqin Lv; Qi Wang; Dong Liang; Zheng Xie (NeurIPS, 2024)

Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation. - Cheems Wang; Yiqin Lv; Yixiu Mao; Yun Qu 002; Yi Xu 008; Xiangyang Ji (CoRR, 2024)

Group Distributionally Robust Optimization can Suppress Class Imbalance Effect in Network Traffic Classification. - Wumei Du; Qi Wang 005; Yiqin Lv; Dong Liang; Guanlin Wu; Xingxing Liang; Zheng Xie (CoRR, 2024)

Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning. - Yiqin Lv; Qi Wang 005; Dong Liang; Zheng Xie (CoRR, 2024)

Data labeling through the centralities of co-reference networks improves the classification accuracy of scientific papers. - Zheng Xie; Yiqin Lv; Yiping Song; Qi Wang (J. Informetrics, 2024)

Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation. - Qi (Cheems) Wang; Yiqin Lv; Yixiu Mao; Yun Qu 002; Yi Xu 008; Xiangyang Ji (KDD (1), 2025)

Beyond Any-Shot Adaptation: Predicting Optimization Outcome for Robustness Gains without Extra Pay. - Qi Cheems Wang; Zehao Xiao; Yixiu Mao; Yun Qu 002; Jiayi Shen; Yiqin Lv; Xiangyang Ji (CoRR, 2025)

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments. - Yun Qu 002; Qi Wang; Yixiu Mao; Yiqin Lv; Xiangyang Ji (CoRR, 2025)