activity
20172026
most citedKnowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure

150 citations · 745 across the 95 of their papers we have counts for

collaborators

103 papers

cs.LG2026

Learning Propagation Geometry from Message-Passing Feedback

Yingxu Wang, Kunyu Zhang, Xinwang Liu +4

Learning local geometry enables graph neural networks (GNNs) to adapt how they compare and integrate neighborhood information. However, estimating geometry from aggregated represen…

cs.AI2026

SeOPD: Self-Evolving LLMs via Online Policy Distillation from Self-Generated Chain-of-Thought

Xiaoshu Chen, Xiangyu Wong, Sihang Zhou +2

Recent advances in online policy self-distillation (OPSD) have demonstrated that large language models (LLMs) can improve their capabilities by leveraging external privileged infor…

cs.CV2026

MODAL: Multi-Modal Object Re-ID via Model-Driven Sparse Decoupling and Text-Image Differential Filtering

Chengbo Huang, Jun-Jie Huang, Long Lan +5

Multi-modal object re-identification (Re-ID) aims to facilitate cross-camera object retrieval in complex environments by leveraging complementary information from visual (e.g., RGB…

cs.AI2026

SpaCellAgent: A Self-Evolving LLM-Based Multi-Agent Framework for Trajectory Analysis

Songhan Wang, Haoang Chi, He Li +6

Spatial and Single-cell transcriptomics are transformative in deciphering cellular dynamics. As the fundamental paradigm for reconstructing cell developmental paths, trajectory inf…

cs.CV2026

JuZhou 1.0 Technical Report: The First Edge-Native Text-to-Image Foundation Model Trained Entirely on China-Developed AI Accelerators

Ce Chen, Congrui Wang, Yonglin Li +23

Text-to-image (T2I) diffusion models typically require substantial computational resources and cloud infrastructure, posing significant challenges for edge deployment in terms of l…

cs.LG2026

Beyond Independent Manipulation: Individual Fairness-aware Strategic Classification with Peer Imitation

Xinpeng Lv, Chunyuan Zheng, Yunxin Mao +9

Strategic classification (SC) investigates scenarios where agents manipulate their features to obtain favorable decisions from predictive models. Existing fairness-aware SC approac…