Tianyang Xu

MICTracker: Modality Informativeness Controlled Multi-modal Fusion for Adaptive RGB-D Visual Tracking

scCGC2T: Curriculum-Guided Contrastive Co-Training Framework for scRNA-Seq Data Clustering

Single-cell RNA sequencing (scRNA-seq) enables high-resolution analysis of cellular heterogeneity. Accurate scRNA-seq data clustering is crucial for cell type identification and subpopulation discovery. However, existing clustering methods are frequently affected by erroneous pseudo-labels generated through the static...

A Knowledge-Imparting Generative Modelling Framework for Heterogeneous Federated Learning

Federated learning aims to provide security for client data privacy in practical machine learning applications. In principle, a global server aggregates the models produced by local clients to obtain a global model. However, the server is challenged when collaborating with local clients handling non-identically distrib...

ReflexTrack: A Feedback-Driven Agent for Training-Free Referring Video Object Segmentation

It is demonstrated that prediction-level feedback substantially improves the reliability of training-free RVOS, with ReflexTrack, a training-free, feedback-driven agent that closes this loop at both spatial and temporal levels.

SimWAM: A Simple World Action Model for End-to-End Autonomous Driving

SimWAM, a simple yet effective WAM that leverages future-video prediction as a training-time supervision signal, co-trains a pretrained video expert and a lightweight action expert with joint flow matching and applies reinforcement learning to optimize a compositional driving reward beyond trajectory imitation.