activity
20242026
collaborators

18 papers

cs.AI2026

TSAQA: Time Series Analysis Question And Answering Benchmark

Baoyu Jing, Sanhorn Chen, Lecheng Zheng +13

Time series data are integral to critical applications across domains such as finance, healthcare, transportation, and environmental science. While recent work has begun to explore…

cs.SI2026

Local Clustering on Complex Graphs and Complex Hypergraphs

Zihao Li, Dongqi Fu, Hengyu Liu +1

Local/seeded clustering aims to find a compact cluster near the given starting instances. While most existing studies on graph clustering assume a discrete graph setting (i.e., unw…

cs.CL2026

Code as Agent Harness

Xuying Ning, Katherine Tieu, Dongqi Fu +39

Recent large language models (LLMs) have demonstrated strong capabilities in understanding and generating code, from competitive programming to repository-level software engineerin…

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.LG2026

Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal Narrative

Zihao Li, Xiao Lin, Zhining Liu +8

While many advances in time series models focus exclusively on numerical data, research on multimodal time series, particularly those involving contextual textual information, rema…

cs.AI2026

MC-Search: Evaluating and Enhancing Multimodal Agentic Search with Structured Long Reasoning Chains

Xuying Ning, Dongqi Fu, Tianxin Wei +7

With the increasing demand for step-wise, cross-modal, and knowledge-grounded reasoning, multimodal large language models (MLLMs) are evolving beyond the traditional fixed retrieve…