- 1738. Hui Niu, Siyuan Li and Jian Li. MetaTrader: An Reinforcement Learning Approach Integrating Diverse Policies for Portfolio Optimization. Proceedings - The 31st ACM International Conference on Information and Knowledge Management 2022.
- 1737. Xuedi Qin, Chengliang Chai, Nan Tang, Jian Li, Yuyu Luo, Guoliang Li, Yaoyu Zhu. Synthesizing Privacy Preserving Entity Resolution Datasets. Proceedings - International Conference on Data Engineering.
- 1736. Zheng, Yanan, Jing Zhou, Yujie Qian, Ming Ding, Jian Li, Ruslan Salakhutdinov, Jie Tang, Sebastian Ruder, and Zhilin Yang. FewNLU: Benchmarking state-of-the-art methods for few-shot natural language understanding. ACL 2022.
- 1735. Xuedi Qin, Chengliang Chai, Nan Tang,Jian Li, Yuyu Luo, Guoliang Li, Yaoyu Zhu. Synthesizing Entity Resolution Datasets. ICDE 2022.
- 1734. Jin Xu, Mingjian Chen, Jianqiang Huang, Tangxing Yuan, Ke Hu, Jian Li, Jia Cheng, Jun Lei. AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020. ICDE 2022.
- 1733. Hui Niu, Siyuan Li and Jian Li. Integrating Diverse Policies for Portfolio Management via Combining Imitation Learning and Reinforcement Learning. CIKM 2022.
- 1732. Jin Xu, Xu Tan, Kaitao Song, Renqian Luo, Yichong Leng, Tao Qin, Tie-Yan Liu, Jian Li. Analyzing and Mitigating Interference in Neural Architecture Search. ICML 2022, spotlight.
- 1731. Yitong Duan, Lei Wang, Qizhong Zhang, Jian Li. FactorVAE: A Probabilistic Dynamic Factor Model Based on Variational Autoencoder for Predicting Cross-sectional Stock Returns. AAAI Conference on Artificial Intelligence (AAAI 2022).
- 1730. Jing Zhou, Yanan Zheng, Jie Tang, Jian Li, and Zhilin Yang. FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning. ACL 2022.
- 1729. Shuo Sun, Rundong Wang, Wanqi Xue, Xu He, Junlei Zhu, Jian Li and Bo An. DeepScalper: A Risk-Aware Reinforcement Learning Framework to Capture Fleeting Intraday Trading Opportunities. CIKM 2022.
- 1728. Jian Li, Xuanyuan Luo. Generalization Bounds for Gradient Methods via Discrete and Continuous Prior. NeurIPS 2022.
- 1727. Zhize Li, Jian Li. Simple and Optimal Stochastic Gradient Methods for Nonsmooth Nonconvex Optimization. Journal of Machine Learning Research (JMLR), 2022 .
- 1726. Shichuan Deng, Jian Li, Yuval Rabani. Generalized Unrelated Machine Scheduling Problem. SODA 2023.
- 1725. Jin Xu, Xiaojiang Liu, Jianhao Yan, Deng Cai, Huayang Li, Jian Li. Learning to Break the Loop: Analyzing and Mitigating Repetitions for Neural Text Generation. NeurIPS 2022.
- 1724. Zhouzi Li, Zixuan Wang, Jian Li. Analyzing Sharpness along GD Trajectory: Progressive Sharpening and Edge of Stability. NeurIPS 2022.
- 1723. Zhiyuan Fan, Jian Li. Efficient Algorithms for Sparse Moment Problems without Separation. arXiv preprint arXiv:2207.13008, 2022 - arxiv.org.
- 1722. Tianping Zhang, Yizhuo Zhang, Wei Cao, Jiang Bian, Xiaohan Yi, Shun Zheng, Jian Li. Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures. arXiv:2207.01186.
- 1721. Zeng, Liang, Lei Wang, Hui Niu, Jian Li, Ruchen Zhang, Zhonghao Dai, Dewei Zhu, and Ling Wang. Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Adaptive Refined Labeling. arXiv:2107.11972v2.
