activity
20242026
most citedIntrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios

1 citations · 1 across the 9 of their papers we have counts for

collaborators

10 papers

cs.IR2026

TaxoConf: Taxonomy-Guided Automatic Conference Program Organization

Daomin Ji, Zhifeng Bao, Junhao Gan

Conference program organization, the task of assembling accepted papers into a technical program, is labor-intensive. Papers must be grouped into topically coherent sessions under…

cs.CL2026

TabScope: Question-Adaptive Scope Selection for Table Question Answering

Yuxiang Wang, Junhao Gan, Jianzhong Qi

Large Language Models (LLMs) have shown strong performance on table question answering, yet their accuracy often degrades as table size increases. We find that this degradation is…

cs.DB2026

Taxonomy Maintenance In The Wild Over Evolving Scholarly Data: Reliability, Efficiency, and Cost-Effectiveness

Daomin Ji, Hui Luo, Zhifeng Bao +2

The rapid growth of scientific publications makes scholarly taxonomies quickly obsolete. We study taxonomy maintenance in the wild, a new problem that moves beyond static construct…

cs.AI2026

Beyond Linearization: Attributed Table Graphs for Table Reasoning

Yuxiang Wang, Junhao Gan, Shengxiang Gao +3

Table reasoning, a task to answer questions by reasoning over data presented in tables, is an important topic due to the prevalence of knowledge stored in tabular formats. Recent s…

cs.DS2025

Approximate Graph Propagation Revisited: Dynamic Parameterized Queries, Tighter Bounds and Dynamic Updates

Zhuowei Zhao, Zhuo Zhang, Hanzhi Wang +3

We revisit Approximate Graph Propagation (AGP), a unified framework which captures various graph propagation tasks, such as PageRank, feature propagation in Graph Neural Networks (…

cs.IR2025★ 1 cited

Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios

Yixin Su, Wei Jiang, Fangquan Lin +6

In recommender systems, the patterns of user behaviors (e.g., purchase, click) may vary greatly in different contexts (e.g., time and location). This is because user behavior is jo…

cs.LG2025

Towards Synthesizing High-Dimensional Tabular Data with Limited Samples

Zuqing Li, Junhao Gan, Jianzhong Qi

Diffusion-based tabular data synthesis models have yielded promising results. However, when the data dimensionality increases, existing models tend to degenerate and may perform ev…

cs.CL2025

Towards Question Answering over Large Semi-structured Tables

Yuxiang Wang, Junhao Gan, Jianzhong Qi

Table Question Answering (TableQA) attracts strong interests due to the prevalence of web information presented in the form of semi-structured tables. Despite many efforts, TableQA…

cs.DS2024

Dynamic Structural Clustering Unleashed: Flexible Similarities, Versatile Updates and for All Parameters

Zhuowei Zhao, Junhao Gan, Boyu Ruan +3

We study structural clustering on graphs in dynamic scenarios, where the graphs can be updated by arbitrary insertions or deletions of edges/vertices. The goal is to efficiently co…

cs.CL2024

Accurate and Regret-aware Numerical Problem Solver for Tabular Question Answering

Yuxiang Wang, Jianzhong Qi, Junhao Gan

Question answering on free-form tables (a.k.a. TableQA) is a challenging task because of the flexible structure and complex schema of tables. Recent studies use Large Language Mode…