Junyu Lu
Scholar

Junyu Lu

Google Scholar ID: mMaIn0QAAAAJ
Dalian University of Technology
Artificial IntelligenceNatural Language ProcessingText MiningSocial Computing
Citations & Impact
All-time
Citations
185
 
H-index
6
 
i10-index
4
 
Publications
20
 
Co-authors
0
 
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • SIGIR 2025: Is Having Rationales Enough? Rethinking Knowledge Enhancement for Multimodal Hateful Meme Detection
  • ACL 2025 findings: Is LLM an Overconfident Judge? Unveiling the Capabilities of LLMs in Detecting Offensive Language with Annotation Disagreement
  • NeurIPS 2024: Towards Comprehensive Detection of Chinese Harmful Memes
  • COLING 2024: Take its Essence, Discard its Dross! Debiasing for Toxic Language Detection via Counterfactual Causal Effect
  • ACL 2023: Facilitating Fine-grained Detection of Chinese Toxic Language: Hierarchical Taxonomy, Resources, and Benchmarks
  • TASLP 2023: Hate Speech Detection via Dual Contrastive Learning
  • NLPCC 2022: Multi-task Hierarchical Cross-Attention Network for Multi-label Text Classification
  • ACL 2025 findings: STATE ToxiCN: A Benchmark for Span-level Target-Aware Toxicity Extraction in Chinese Hate Speech Detection
  • NAACL 2025: Commonality and Individuality! Integrating Humor Commonality with Speaker Individuality for Humor Recognition
  • ICASSP 2025: Towards Patronizing and Condescending Language in Chinese Videos: A Multimodal Dataset and Detector
  • EMNLP 2024 findings: PclGPT: A Large Language Model for Patronizing and Condescending Language Detection
  • BIBM 2024: CFAH: A Chinese Dataset for Detecting False Advertising in Healthcare
Background
  • A second-year Ph.D. student at the School of Computer Science and Technology, Dalian University of Technology, supervised by Prof. Hongfei Lin. Research interests include natural language processing, text mining, and AI security. Particularly interested in detecting hate speech and hateful memes on social platforms using novel deep learning methods, specifically large language models, for semantic analysis. Also works with Prof. Roy Ka-Wei Lee at Singapore University of Technology and Design.
Miscellany
  • Email: dut_ljy@foxmail.com; also works with Prof. Roy Ka-Wei Lee at Singapore University of Technology and Design.
Co-authors
0 total
Co-authors: 0 (list not available)