activity
20232026
most citedEfficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling

2 citations · 4 across the 9 of their papers we have counts for

collaborators

10 papers

math.FA2026

Complex Representatives, Similarity Invariants, and Iterates in

Bingzhe Hou, Cailing Yao, Jiaxing He

We study the similarity classes of matrices in and the iterates of their associated quaternionic Möbius transformations. Building on the known elliptic case, we…

cs.CV2026

G-LoG Bi-filtration for Medical Image Classification

Qingsong Wang, Jiaxing He, Bingzhe Hou +3

Building practical filtrations on objects to detect topological and geometric features is an important task in the field of Topological Data Analysis (TDA). In this paper, leveragi…

math.AT2025

Persistence modules induced by inner functions

Jiaxing He, Bingzhe Hou, Xiao Wang +1

As well-known, inner functions play an important role in the study of bounded analytic function theory. In recent years, persistence module theory, as a main tool applied to Topolo…

math.AP2025

Flow approach on Riesz type nonlocal energies

Jiaxin He, Qinfeng Li, Juncheng Wei +1

Via continuous deformations based on natural flow evolutions, we prove several novel monotonicity results for Riesz-type nonlocal energies on triangles and quadrilaterals. Some of…

cs.LG2025★ 1 cited

Large Language Model is Secretly a Protein Sequence Optimizer

Yinkai Wang, Jiaxing He, Yuanqi Du +5

We consider the protein sequence engineering problem, which aims to find protein sequences with high fitness levels, starting from a given wild-type sequence. Directed evolution ha…

cs.LG2025★ 1 cited

Graph Generative Pre-trained Transformer

Xiaohui Chen, Yinkai Wang, Jiaxing He +4

Graph generation is a critical task in numerous domains, including molecular design and social network analysis, due to its ability to model complex relationships and structured da…

math.AT2024

Stable Similarity Comparison of Persistent Homology Groups

Jiaxing He, Bingzhe Hou, Tieru Wu +1

Classification in the sense of similarity is an important issue. In this paper, we study similarity classification in Topological Data Analysis. We define a pseudometric $d_{S}^{(p…

cs.LG2024

GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction

Shijin Duan, Ruyi Ding, Jiaxing He +3

Graph-structured data is integral to many applications, prompting the development of various graph representation methods. Graph autoencoders (GAEs), in particular, reconstruct gra…

cs.CV2024

Mix-GENEO: A Flexible Filtration for Multiparameter Persistent Homology Detects Digital Images

Jiaxing He, Bingzhe Hou, Tieru Wu +1

Two important tasks in the field of Topological Data Analysis are building practical multifiltrations on objects and using TDA to detect the geometry. Motivated by the tasks, we bu…

cs.LG2023★ 2 cited

Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling

Xiaohui Chen, Jiaxing He, Xu Han +1

Diffusion-based generative graph models have been proven effective in generating high-quality small graphs. However, they need to be more scalable for generating large graphs conta…