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20242026
most citedAPEX: Adaptive and Extreme Summarization for Personalized Knowledge Graphs

4 citations · 18 across the 22 of their papers we have counts for

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11 papers · 1 filter

cs.LG2026

EvoHarness-RL: Learning Self-Evolving Runtime Harness for Long-Horizon LLM Agents

Xuying Ning, Dongqi Fu, Tianxin Wei +13

Long-horizon LLM agents increasingly rely on external execution support to maintain state, track progress, invoke tools, verify outcomes, and reuse experience across interactions.…

cs.LG2026

OWLEYE: Zero-Shot Learner for Cross-Domain Graph Data Anomaly Detection

Lecheng Zheng, Dongqi Fu, Zihao Li +1

Graph data is informative to represent complex relationships such as transactions between accounts, communications between devices, and dependencies among machines or processes. Co…

cs.LG2025

Flow Matching Meets Biology and Life Science: A Survey

Zihao Li, Zhichen Zeng, Xiao Lin +9

Over the past decade, advances in generative modeling, such as generative adversarial networks, masked autoencoders, and diffusion models, have significantly transformed biological…

cs.LG2025

Learnable Spatial-Temporal Positional Encoding for Link Prediction

Katherine Tieu, Dongqi Fu, Zihao Li +2

Accurate predictions rely on the expressiveness power of graph deep learning frameworks like graph neural networks and graph transformers, where a positional encoding mechanism has…

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…