activity
20242026
most citedA Benchmark for Fairness-Aware Graph Learning

1 citations · 2 across the 15 of their papers we have counts for

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6 papers · 1 filter

cs.AI2026

AdaST: Adaptive Coupling for Spatial-Temporal Forecasting

Zhenyu Lei, Chenghao Liu, Yushun Dong +2

Spatial-temporal (ST) forecasting underpins many real-world systems such as traffic, climate, and energy networks. While existing methods implicitly assume strong spatiotemporal co…

cs.CL2026

TeacherGRPO: Closing the Capacity Gap in Reasoning Distillation via Teacher Alignment

Zhenyu Lei, Zihan Chen, Yaochen Zhu +5

Reasoning distillation from powerful teacher models to smaller students faces the Gap Curse: as teachers grow more sophisticated, their complex distributions increasingly diverge f…

cs.CL2026

Grounding Memory Summarization in Utility Intent

Zhenyu Lei, Mingjia Shi, Xingbo Fu +3

Existing summarizers for memory systems are typically optimized for human-facing criteria such as faithfulness, which misaligns with their true objective: preserving the evidence n…

cs.CL2026

Reforming the Mechanism: Editing Reasoning Patterns in LLMs with Circuit Reshaping

Zhenyu Lei, Qiong Wu, Jianxiong Dong +4

Large language models (LLMs) often exhibit flawed reasoning ability that undermines reliability. Existing approaches to improving reasoning typically treat it as a general and mono…

cs.CE2026

BrainTAP: Brain Disorder Prediction with Adaptive Distill and Selective Prior Integration

Zhenyu Lei, Aiying Zhang, Song Wang +2

Predicting clinical outcomes from brain networks in large-scale neuroimaging cohorts such as the Adolescent Brain Cognitive Development (ABCD) study requires effectively integratin…

cs.AI2026

Uncovering Latent Communication Patterns in Brain Networks via Adaptive Flow Routing

Tianhao Huang, Guanghui Min, Zhenyu Lei +2

Unraveling how macroscopic cognitive phenotypes emerge from microscopic neuronal connectivity remains one of the core pursuits of neuroscience. To this end, researchers typically l…