9 citations · 26 across the 18 of their papers we have counts for
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cs.AI2026
: Unifying Scale-Specific Structures and Prototype Decomposition for Spatial-Temporal Forecasting
Chengyang Zhou, Zijian Zhang, Hao Miao +5
Spatial-temporal forecasting is pivotal for intelligent urban management yet remains challenging due to the intricate coupling of spatial dynamics and temporal non-stationarity. Ex…
cs.AI2026
Memory Has Geometry: Non-Uniform Geometric Memory for Long-Horizon Personalized AI
Jiahong Liu, Wenhao Yu, Zexuan Qiu +2
Long-term memory is becoming a core substrate for personalized AI, yet most systems still represent personalization as discrete records in a largely static latent space, accessed u…
cs.AI2025★ 8 cited
A Survey of Personalized Large Language Models: Progress and Future Directions
Jiahong Liu, Zexuan Qiu, Zhongyang Li +7
Large Language Models (LLMs) excel in handling general knowledge tasks, yet they struggle with user-specific personalization, such as understanding individual emotions, writing sty…