Author

Chen-Xi Wang

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Open access Oct 2026

LigRNA: High-accuracy prediction of RNA-ligand binding sites via dynamic chemical complementarity and language model encoding

RNA-binding small molecules represent a validated therapeutic modality, yet pinpointing their exact RNA binding sites remains critical for mechanistic understanding and drug optimization. Experimental methods, while precise, are costly and low-throughput, necessitating robust computational alternatives. Approaches base...

Xin Wang, He-Qin Zhu, Hao Li et al. · bioRxiv · 0 citations

#machine learning Preprint Sep 2026

CHAIN: Calibrated LLM Forecasting via Causal-Temporal Hypergraph Inference

Large language models have achieved significant progress in event forecasting, yet their probability outputs exhibit systematic calibration bias that varies heterogeneously across different domains and question types, undermining the trustworthiness of probabilistic outputs for decision-making under uncertainty. Howeve...

Wen-Jin Liu, Chen-Xi Wang, Yue Lu et al. · 0 citations

#machine learning Preprint Aug 2026

CataOPD: Catalytic On-Policy Distillation for Large Language Model Reasoning

Experimental results show that CataOPD outperforms current baselines, extends independent student reasoning to still-unrecovered problems, and improves out-of-distribution generalization under catalyst-free inference.

Wen-Jin Liu, Chen-Xi Wang, Jia-Pu Wang et al. · 0 citations

Preprint Aug 2026

TIEM: Temporal Integration of Hypergraph Evidence and Skill Memory for Event-Driven Financial Forecasting

TIEM, a timestamp-gated framework with three coordinated components: an Event-Evidence Hypergraph (EEH) for timestamp-filtered multi-tier retrieval; a Case-based Skill Memory (CSM) for source-tagged temporal skills; and Heterogeneous Evidence-Experience Fusion Reasoning (HEFR) for evidence-experience fusion and predict...

Wen-Jin Liu, Shengjie Pang, Chen-Xi Wang et al. · 1 citation