◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Chongzhi Zhang

4 papers hereh-index 113 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG4
same name
  • Chongzhi Zhang — 6 papers, h 7
  • Chongzhi Zhang — 4 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedBalancing the Causal Effects in Class-Incremental Learning

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2025

Neural-Symbolic Message Passing with Dynamic Pruning

Chongzhi Zhang, Junhao Zheng, Zhiping Peng +1

Complex Query Answering (CQA) over incomplete Knowledge Graphs (KGs) is a challenging task. Recently, a line of message-passing-based research has been proposed to solve CQA. Howev…

cs.LG2024

Pathformer: Recursive Path Query Encoding for Complex Logical Query Answering

Chongzhi Zhang, Zhiping Peng, Junhao Zheng +3

Complex Logical Query Answering (CLQA) over incomplete knowledge graphs is a challenging task. Recently, Query Embedding (QE) methods are proposed to solve CLQA by performing multi…

cs.LG2024★ 1 cited

Balancing the Causal Effects in Class-Incremental Learning

Junhao Zheng, Ruiyan Wang, Chongzhi Zhang +2

Class-Incremental Learning (CIL) is a practical and challenging problem for achieving general artificial intelligence. Recently, Pre-Trained Models (PTMs) have led to breakthroughs…

cs.LG2024

Conditional Logical Message Passing Transformer for Complex Query Answering

Chongzhi Zhang, Zhiping Peng, Junhao Zheng +1

Complex Query Answering (CQA) over Knowledge Graphs (KGs) is a challenging task. Given that KGs are usually incomplete, neural models are proposed to solve CQA by performing multi-…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.