activity
20242026
most citedIncorporating Arbitrary Matrix Group Equivariance into KANs

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

cs.IR2026

VisDocAgentBench: Benchmarking Agents for Visually Rich Document Retrieval

Lexiang Hu, Yanzhao Zhang, Mingxin Li +5

Visually rich documents encode relevance through language, layout, structured visual elements, and corpus context, yet retrieval is typically evaluated by one-shot query--page matc…

cs.IR2026

CORE-Bench: A Comprehensive Benchmark for Code Retrieval in the Era of Agentic Coding

Fuwei Zhang, Yanzhao Zhang, Mingxin Li +5

Code retrieval is becoming central to coding agents, but agentic coding requires more than matching a natural-language query to an isolated snippet. Given a user request, a coding…

cs.CV2026

Adaptive Global and Fine-Grained Perceptual Fusion for MLLM Embeddings Compatible with Hard Negative Amplification

Lexiang Hu, Youze Xue, Dian Li +2

Multimodal embeddings serve as a bridge for aligning vision and language, with the two primary implementations -- CLIP-based and MLLM-based embedding models -- both limited to capt…

cs.LG2025

Explicit Discovery of Nonlinear Symmetries from Dynamic Data

Lexiang Hu, Yikang Li, Zhouchen Lin

Symmetry is widely applied in problems such as the design of equivariant networks and the discovery of governing equations, but in complex scenarios, it is not known in advance. Mo…

cs.LG2025

Governing Equation Discovery from Data Based on Differential Invariants

Lexiang Hu, Yikang Li, Zhouchen Lin

The explicit governing equation is one of the simplest and most intuitive forms for characterizing physical laws. However, directly discovering partial differential equations (PDEs…

cs.LG2024

Symmetry Discovery for Different Data Types

Lexiang Hu, Yikang Li, Zhouchen Lin

Equivariant neural networks incorporate symmetries into their architecture, achieving higher generalization performance. However, constructing equivariant neural networks typically…

cs.LG2024★ 1 cited

Incorporating Arbitrary Matrix Group Equivariance into KANs

Lexiang Hu, Yisen Wang, Zhouchen Lin

Kolmogorov-Arnold Networks (KANs) have seen great success in scientific domains thanks to spline activation functions, becoming an alternative to Multi-Layer Perceptrons (MLPs). Ho…