Ziheng Zhang
25 papers · 2018–2026 · 10 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🌍 Conference Polyglot (10) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (12)
🌈
Renaissance Researcher
(9)
🌍
Conference Polyglot
(10)
🏃
Academic Marathon
(7)
🤝
Dynamic Duo
(15)
🧬
Topic Evolution
❓
The Questioner
💎
Century Club
(24)
⚡
Prolific Year
(8)
🚀
Conference Pioneer
🗃️
Keyword Collector
(129)
🔥
Unstoppable
(8)
Conferences
COLING (5)
AAAI (4)
CVPR (4)
ACL (3)
EMNLP (3)
IJCNLP (2)
ECCV (1)
ICCV (1)
IJCAI (1)
NIPS (1)
Top co-authors
Keywords
large language model
(6)
entity alignment
(3)
pre-trained language model
(3)
knowledge graph embedding
(2)
biomedical entity linking
(2)
question answering
(2)
joint extraction
(2)
convolutional neural network
(2)
link prediction
(2)
entity extraction
(2)
transfer learning
(2)
triple extraction
(2)
fine-grained classification
(2)
knowledge graph
(2)
contrastive decoding
(2)
relation extraction
(2)
embedding learning
(1)
feature extraction
(1)
vision transformer
(1)
ensemble learning
(1)
Papers
Why Do Open-Source LLMs Struggle with Data Analysis? A Systematic Empirical Study
AAAI 2026
Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics
AAAI 2025
Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation
AAAI 2025
DiT4SR: Taming Diffusion Transformer for Real-World Image Super-Resolution
ICCV 2025
Guiding Large Language Models for Biomedical Entity Linking via Restrictive and Contrastive Decoding
EMNLP 2025
A Survey on Foundation Language Models for Single-cell Biology
ACL 2025
Finer-CAM: Spotting the Difference Reveals Finer Details for Visual Explanation
CVPR 2025
Prompt-CAM: Making Vision Transformers Interpretable for Fine-Grained Analysis
CVPR 2025
Not All Parameters Matter: Masking Diffusion Models for Enhancing Generation Ability
CVPR 2025
MedJourney: Benchmark and Evaluation of Large Language Models over Patient Clinical Journey
NIPS 2024
Biomedical Entity Linking as Multiple Choice Question Answering
COLING 2024
Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models
COLING 2024
Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding
EMNLP 2024
Relation-aware Ensemble Learning for Knowledge Graph Embedding
EMNLP 2023
Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words
COLING 2022
Multi-modal Contrastive Representation Learning for Entity Alignment
COLING 2022
OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding
ACL 2021
PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction
ACL 2021
Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding
IJCAI 2021
PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction
IJCNLP 2021
OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding
IJCNLP 2021
An Industry Evaluation of Embedding-based Entity Alignment
COLING 2020
RGBD Based Gaze Estimation via Multi-Task CNN
AAAI 2019
PPGNet: Learning Point-Pair Graph for Line Segment Detection
CVPR 2019
Saliency Detection in 360° Videos
ECCV 2018