🏢 Sun Yat-Sen University

UniFL: Unified Feedback Learning revolutionizes latent diffusion models by improving image quality, aesthetics, and inference speed through a unified feedback learning framework, surpassing existing m…

GRAPHSSM: a novel graph state space model efficiently captures temporal graph dynamics, overcoming limitations of existing sequence models.

StreamDSGN: a real-time stereo 3D object detection framework significantly boosts streaming perception accuracy by leveraging historical information, a feature-flow fusion method, and a motion consist…

PIVOT-R, a novel primitive-driven waypoint-aware world model, significantly boosts robotic manipulation performance and efficiency via an asynchronous hierarchical executor.

Neural networks efficiently solve robust routing problems with uncertain travel times, minimizing worst-case deviations from optimal routes under the min-max regret criterion.

CHASE: A novel method for skeleton-based multi-entity action recognition that cleverly adapts skeleton positions to minimize data bias and boost accuracy.

GMDI: a novel Bayesian domain adaptation algorithm significantly improves adaptation by dynamically modeling domain indices using Gaussian Mixture Models, outperforming state-of-the-art methods.

AttnDreamBooth: A novel approach to text-to-image generation that overcomes limitations of prior methods by separating learning processes, resulting in significantly improved identity preservation and…

This work introduces PDOA, an offline adaptation framework for constrained multi-objective RL, using demonstrations instead of manually designed preferences to infer optimal policies while satisfying …

FedSAK, a novel federated multi-task learning framework, flexibly handles data, model, and task heterogeneity using tensor trace norm to learn correlations among client models, achieving superior perf…