Yiqin Lv

20 papers A* 3A 1Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Information-Theoretic Limits of Node Localization under Hybrid Graph Positional Encodings.
CoRR
Zimo Yan, Zheng Xie, Chang Liu, Yiqin Lv, Runfan Duan
2025 J jnl
A Unified Multi-Task Learning Framework for Generative Auto-Bidding with Validation-Aligned Optimization.
CoRR
Yiqin Lv, Zhiyu Mou, Miao Xu, Jinghao Chen, Qi Wang, Yixiu Mao, Yun Qu, Rongquan Bai, Chuan Yu, Jian Xu, Bo Zheng, Xiangyang Ji
2025 J jnl
Enhancing Generative Auto-bidding with Offline Reward Evaluation and Policy Search.
CoRR
Zhiyu Mou, Yiqin Lv, Miao Xu, Qi Wang, Yixiu Mao, Qichen Ye, Chao Li, Rongquan Bai, Chuan Yu, Jian Xu, Bo Zheng
2025 A* conf
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments.
ICML
Yun Qu, Cheems Wang, Yixiu Mao, Yiqin Lv, Xiangyang Ji
2025 J jnl
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments.
CoRR
Yun Qu, Qi Wang, Yixiu Mao, Yiqin Lv, Xiangyang Ji
2025 J jnl
Group & reweight: a novel cost-sensitive approach to mitigating class imbalance in network traffic classification.
Int. J. Mach. Learn. Cybern.
Wumei Du, Dong Liang, Yiqin Lv, Xingxing Liang, Guanlin Wu, Qi Wang, Zheng Xie
2025 J jnl
Model Predictive Task Sampling for Efficient and Robust Adaptation.
CoRR
Qi (Cheems) Wang, Zehao Xiao, Yixiu Mao, Yun Qu, Jiayi Shen, Yiqin Lv, Xiangyang Ji
2025 — conf
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation.
KDD (1)
Qi (Cheems) Wang, Yiqin Lv, Yixiu Mao, Yun Qu, Yi Xu, Xiangyang Ji
2024 J jnl
Data labeling through the centralities of co-reference networks improves the classification accuracy of scientific papers.
J. Informetrics
Zheng Xie, Yiqin Lv, Yiping Song, Qi Wang
2024 J jnl
Group Distributionally Robust Optimization can Suppress Class Imbalance Effect in Network Traffic Classification.
CoRR
Wumei Du, Qi Wang, Yiqin Lv, Dong Liang, Guanlin Wu, Xingxing Liang, Zheng Xie
2024 J jnl
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation.
CoRR
Qi (Cheems) Wang, Yiqin Lv, Yixiu Mao, Yun Qu, Yi Xu, Xiangyang Ji
2024 A* conf
Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning.
NeurIPS
Yiqin Lv, Qi Wang, Dong Liang, Zheng Xie
2024 J jnl
Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning.
CoRR
Yiqin Lv, Qi Wang, Dong Liang, Zheng Xie
2023 A* conf
A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm.
NeurIPS
Qi Wang, Yiqin Lv, Yang-He Feng, Zheng Xie, Jincai Huang
2023 J jnl
A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm.
CoRR
Qi Wang, Yiqin Lv, Yanghe Feng, Zheng Xie, Jincai Huang
2023 J jnl
Large-scale Generative Simulation Artificial Intelligence: the Next Hotspot in Generative AI.
CoRR
Qi Wang, Yanghe Feng, Jincai Huang, Yiqin Lv, Zheng Xie, Xiaoshan Gao
2023 A conf
Multi-scale Graph Pooling Approach with Adaptive Key Subgraph for Graph Representations.
CIKM
Yiqin Lv, Zhiliang Tian, Zheng Xie, Yiping Song
2022 J jnl
A multi-view method of scientific paper classification via heterogeneous graph embeddings.
Scientometrics
Yiqin Lv, Zheng Xie, Xiaojing Zuo, Yiping Song
2021 J jnl
Predicting publication productivity for authors: Shallow or deep architecture?
CoRR
Wumei Du, Zheng Xie, Yiqin Lv
2021 J jnl
Predicting publication productivity for authors: Shallow or deep architecture?
Scientometrics
Wumei Du, Zheng Xie, Yiqin Lv