activity
20242026
most citedClimateBench-M: A Multi-Modal Climate Data Benchmark with a Simple Generative Method

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents

Yuanchen Bei, Tianxin Wei, Xuying Ning +7

Long-term memory is a critical capability for multimodal large language model (MLLM) agents, particularly in conversational settings where information accumulates and evolves over…

cs.LG2025

Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting

Zhining Liu, Ze Yang, Xiao Lin +6

Time-series forecasting plays a critical role in many real-world applications. Although increasingly powerful models have been developed and achieved superior results on benchmark…

cs.LG2025

CLIMB: Class-imbalanced Learning Benchmark on Tabular Data

Zhining Liu, Zihao Li, Ze Yang +6

Class-imbalanced learning (CIL) on tabular data is important in many real-world applications where the minority class holds the critical but rare outcomes. In this paper, we presen…

cs.LG20251 cited

ClimateBench-M: A Multi-Modal Climate Data Benchmark with a Simple Generative Method

Dongqi Fu, Yada Zhu, Zhining Liu +10

Climate science studies the structure and dynamics of Earth's climate system and seeks to understand how climate changes over time, where the data is usually stored in the format o…

cs.DC2024

Transforming the Hybrid Cloud for Emerging AI Workloads

Deming Chen, Alaa Youssef, Ruchi Pendse +42

This white paper, developed through close collaboration between IBM Research and UIUC researchers within the IIDAI Institute, envisions transforming hybrid cloud systems to meet th…