Quantitative Analysis of Bitcoin Transferred in Bitcoin Exchange. - Yang Li 072; Zilu Liu; Zibin Zheng (BlockSys, 2019)

Deep Robust Reinforcement Learning for Practical Algorithmic Trading. - Yang Li 072; Wanshan Zheng; Zibin Zheng (IEEE Access, 2019)

Identifying Illicit Addresses in Bitcoin Network. - Yang Li 072; Yue Cai; Hao Tian; Gengsheng Xue; Zibin Zheng (BlockSys, 2020)

Attention-Based Graph Neural Network for Identifying Illicit Bitcoin Addresses. - Hao Tian; Yang Li 072; Yue Cai; Xiaohong Shi; Zibin Zheng (BlockSys, 2021)

Transparency to the Extreme: An In-Depth Study of the Bitcoin Exchange Ecosystem. - Gengsheng Xue; Yang Li 072; Zibin Zheng (BlockSys, 2021)

Selective transfer learning with adversarial training for stock movement prediction. - Yang Li 072; Hong-Ning Dai; Zibin Zheng (Connect. Sci., 2022)

Profit-based deep architecture with integration of reinforced data selector to enhance trend-following strategy. - Yang Li 072; Zibin Zheng; Hong-Ning Dai; Raymond Chi-Wing Wong; Haoran Xie 001 (World Wide Web (WWW), 2023)

CondAmbigQA: A Benchmark and Dataset for Conditional Ambiguous Question Answering. - Zongxi Li; Yang Li 072; Haoran Xie 001; S. Joe Qin (CoRR, 2025)