Qi Qi

E3-Avatar: Efficient, Expressive and Easy-to-use Monocular Gaussian Avatars Reenactment

SAT: Synergistic Adaptive Training for Long-Tailed Recognition

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Cross-Modal Alignment Dataset

ChronoSteer is a decoupled agentic framework that learns cross-modal alignment from synthetic paired supervision that achieves a 25.8% improvement in zero-shot prediction accuracy over its unimodal backbone, and outperforms prior state-of-the-art unimodal and multimodal ...

A Time–Frequency Multi-Task Framework for Network Monitoring and Anomaly Detection

The Time-Frequency Multi-Task Network (TFMTNet), a self-supervised framework that provides a transferable representation module for the evaluated network telemetry tasks, and learns representations that can feed downstream reasoning and control modules, thereby supporting the perception, reasoning, and control loop in...

M-LoRA: Efficient Serving for Concurrent LoRA Adapters with Memory-Aware Speculative Scheduler on Single GPU

M-LoRA is proposed, a memory-aware multi-LoRA serving system that reduces queuing delay and improves throughput through efficient request scheduling guided by fine-grained memory modeling.

Do LVLMs Truly Understand Video Anomalies? Revealing Hallucination via Co-Occurrence Patterns

This paper investigates LVLMs’ behavior in VAD from a visual-textual co-occurrence perspective, and proposes VAD-DPO, a direct preference optimization method supervised with counter-example pairs that enhances both anomaly detection and reasoning performance, particularly in scene-dependent scenarios.