71 citations · 71 across the 4 of their papers we have counts for
4 papers
Socialized Division and Collaboration: Rethinking Class-Incremental Learning under Optimization Conflicts
Xinjie Yao, Zhihe Fan, Yunqi Zhu +6
Class-incremental learning is commonly instantiated as a single-model paradigm, where a unified model sequentially adapts to an unbounded stream of sessions. While effective under…
Towards a new paradigm of scientific discovery with socialized artificial intelligence
Xinjie Yao, Xingxin Xu, Xiyuan Gao +21
Scientific discovery has advanced through successive transformations in the organization of knowledge. Observation and experimentation established the empirical foundations of scie…
Geometric Mixture-of-Experts with Curvature-Guided Adaptive Routing for Graph Representation Learning
Haifang Cao, Yu Wang, Timing Li +2
Graph-structured data typically exhibits complex topological heterogeneity, making it difficult to model accurately within a single Riemannian manifold. While emerging mixed-curvat…
Latent Heterogeneous Graph Network for Incomplete Multi-View Learning
Pengfei Zhu, Xinjie Yao, Yu Wang +4
Multi-view learning has progressed rapidly in recent years. Although many previous studies assume that each instance appears in all views, it is common in real-world applications f…