7 papers
Detecting Malicious Intents in Smart Contracts with Pre-trained Programming Language Models
Youwei Huang, Jianwen Li, Bin Hu +3
Malicious developer intents in smart contracts constitute significant security threats to decentralized applications, leading to substantial economic losses. Prior work introduced…
Advanced Multimodal Learning for Seizure Detection and Prediction: Concept, Challenges, and Future Directions
Ijaz Ahmad, Faizan Ahmad, Sunday Timothy Aboyeji +5
Epilepsy is a chronic neurological disorder characterized by recurrent unprovoked seizures, affects over 50 million people worldwide, and poses significant risks, including sudden…
From Observations to Parameters: Detecting Changepoint in Nonlinear Dynamics with Simulation-based Inference
Xiangbo Deng, Cheng Chen, Peng Yang
Detecting regime shifts in chaotic time series is hard because observation-space signals are entangled with intrinsic variability. We propose Parameter--Space Changepoint Detection…
Detecting Multilevel Manipulation from Limit Order Book via Cascaded Contrastive Representation Learning
Yushi Lin, Peng Yang
Trade-based manipulation (TBM) undermines the fairness and stability of financial markets drastically. Spoofing, one of the most covert and deceptive TBM strategies, exhibits compl…
Time Series Analysis in Frequency Domain: A Survey of Open Challenges, Opportunities and Benchmarks
Qianru Zhang, Yuting Sun, Honggang Wen +6
Frequency-domain analysis has emerged as a powerful paradigm for time series analysis, offering unique advantages over traditional time-domain approaches while introducing new theo…
SimLOB: Learning Representations of Limited Order Book for Financial Market Simulation
Yuanzhe Li, Yue Wu, Muyao Zhong +2
Financial market simulation (FMS) serves as a promising tool for understanding market anomalies and the underlying trading behaviors. To ensure high-fidelity simulations, it is cru…