activity
20232026
most citedDynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning

12 citations · 12 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

A-PAIR: A Benchmark and Identity-Consistent Grounding Framework for Air-Ground Cross-View Referring Person Detection

Zhoupeng Guo, Xinjie Yao, Yunqi Zhu +6

Air-ground cross-view referring person detection is a necessary component in the language-to-perception-to-control chain of collective embodied intelligence, grounding a language c…

cs.CV2026

Socialized Detector Learning: Trajectory-Guided and Reciprocal Distillation for Heterogeneous Object Detectors

Weihao Li, Yunqi Zhu, Zhihe Fan +5

Object detection knowledge is fragmented across independently trained, heterogeneous detectors with complementary category supports. In socialized learning, this knowledge resides…

cs.AI2026

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…

cs.LG2025

Reducing Class-wise Confusion for Incremental Learning with Disentangled Manifolds

Huitong Chen, Yu Wang, Yan Fan +2

Class incremental learning (CIL) aims to enable models to continuously learn new classes without catastrophically forgetting old ones. A promising direction is to learn and use pro…

cs.LG2023★ 12 cited

Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning

Yan Fan, Yu Wang, Pengfei Zhu +1

Continual learning (CL) has shown promising results and comparable performance to learning at once in a fully supervised manner. However, CL strategies typically require a large nu…