Publications & Patents
* indicates equal contribution.
Conference & Journal Papers
[1] Neural Mixture Density Processes
Yi Ding, Qi Tao, Xingxing Liang, Longfei Zhang, Yiqin Lv, Weitao Song, Fangjie Yang, Qi Wang, Guangquan Cheng
Conference on Computer Vision and Pattern Recognition, CVPR 2026
CAAI/CCF-A
[2] Enhancing Generative Auto-bidding with Offline Reward Evaluation and Policy Search
Zhiyu Mou*, Yiqin Lv*, Miao Xu, Qi Wang, Yixiu Mao, Jinghao Chen, Qichen Ye, Chao Li, Rongquan Bai, Chuan Yu, Jian Xu, Bo Zheng
The Fourteenth International Conference on Learning Representations, ICLR 2026
Oral
CAAI/CCF-A
[3] Tail Task Risk Minimization in Meta-Learning from Theoretical Advances to Practical Strategies
Yiqin Lv, Dong Liang, Wumei Du, Zenglin Shi, Zheng Xie, Qi Wang, Meng Wang
IEEE Transactions on Pattern Analysis and Machine Intelligence, TPAMI 2026
CCF-A Journal
IF=18.6
[4] VAO: Validation-Aligned Optimization for Cross-Task Generative Auto-Bidding
Yiqin Lv*, Zhiyu Mou*, Miao Xu, Jinghao Chen, Qi Wang, Yixiu Mao, Yun Qu, Rongquan Bai, Chuan Yu, Jian Xu, Bo Zheng, Xiangyang Ji
arxiv 2025
[5] Fast and robust: Task sampling with posterior and diversity synergies for adaptive decision-makers in randomized environments
Yun Qu*, Qi (Cheems) Wang*, Yixiu Mao*, Yiqin Lv, Xiangyang Ji
International Conference on Machine Learning, ICML 2025
CAAI/CCF-A
[6] Model Predictive Task Sampling for Efficient and Robust Adaptation
Qi (Cheems) Wang*, Zehao Xiao*, Yixiu Mao*, Yun Qu*, Jiayi Shen, Yiqin Lv, Xiangyang Ji
arxiv 2025
[7] Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation
Qi Wang*, Yiqin Lv*, Yixiu Mao*, Yun Qu, Yi Xu, Xiangyang Ji
31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2025
CAAI/CCF-A
[8] Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning
Yiqin Lv, Qi Wang, Dong Liang, Zheng Xie
Advances in Neural Information Processing Systems, NeurIPS 2024
CAAI/CCF-A
[9] Data Labeling through the Centralities of Co-reference Networks Improves the Classification Accuracy of Scientific Papers
Zheng Xie, Yiqin Lv, Yiping Song, Qi Wang
Journal of Informetrics, 2024
SCI Q1 · IF=3.4
[10] A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm
Qi Wang*, Yiqin Lv*, Yanghe Feng, Zheng Xie, Jincai Huang
Advances in Neural Information Processing Systems, NeurIPS 2023
CAAI/CCF-A
[11] Multi-scale Graph Pooling Approach with Adaptive Key Subgraph for Graph Representations
Yiqin Lv, Zhiliang Tian, Zheng Xie, Yiping Song
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023
CAAI/CCF-B
[12] Large-scale Generative Simulation Artificial Intelligence: the Next Hotspot
Qi Wang, Yanghe Feng, Jincai Huang, Yiqin Lv, Zheng Xie, Xiaoshan Gao
The Innovation, 2023
IF=33.2
[13] A Multi-view Method of Scientific Paper Classification via Heterogeneous Graph Embeddings
Yiqin Lv, Zheng Xie, Xiaojing Zuo, Yiping Song
Scientometrics, 2022
SCI Q1 · IF=3.5
Patents
基于分布式鲁棒元强化学习的机器人运动控制方法 · 202411382585.8
王琦, 吕怡琴, 谢正, 梁栋, 杜武妹, 梁星星
Patent Filed 2024-09-30
面向类不平衡的网络流量分类方法 · 202410766822.4
王琦, 杜武妹, 吴冠霖, 梁栋, 谢正, 吕怡琴, 梁星星
Patent Filed 2024-06-14