5 papers
CryoAtlas: A Large Curated Dataset and Unified Benchmark for Cryo-EM Atomic Model Building
Mingrui Li, Minzhang Li, Weichen Qin +6
Deep learning has accelerated automated atomic model building from cryo-EM maps, yet progress remains limited by the lack of large, high-quality datasets and standardized evaluatio…
Extreme Volatility Warning under Label Scarcity via Multi-Source Anomaly Fusion
Jin Qian, Zhangzhi Xiong, Mingrui Li +1
Early warning of extreme market volatility is central to financial risk management, but actionable events are rare, nonstationary, and often triggered by exogenous information shoc…
Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs
Zhangzhi Xiong, Minzhang Li, Haotian Yu +6
Multiple Sequence Alignments (MSAs) provide protein language models with explicit evolutionary context, but their large depth makes subsampling unavoidable under limited token budg…
Exploring the Potential of Probabilistic Transformer for Time Series Modeling: A Report on the ST-PT Framework
Zhangzhi Xiong, Haoyi Wu, You Wu +3
The Probabilistic Transformer (PT) establishes that the Transformer's self-attention plus its feed-forward block is mathematically equivalent to Mean-Field Variational Inference (M…
ConTSG-Bench: A Unified Benchmark for Conditional Time Series Generation
Shaocheng Lan, Shuqi Gu, Zhangzhi Xiong +1
Conditional time series generation plays a critical role in addressing data scarcity and enabling causal analysis in real-world applications. Despite its increasing importance, the…