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researcher

Junjie Li

4 papers here

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

author position
  • first author1
  • middle author3

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

fields
  • cs.CL1
  • cs.CV1
  • cs.LG1
  • cs.SD1
ORCID 0009-0004-8450-7112
same name
  • Junjie Li — 6 papers, h 42
  • Junjie Li — 6 papers
  • Junjie Li — 4 papers
  • Junjie Li — 3 papers, h 62
  • Junjie Li — 3 papers
  • Junjie Li — 2 papers

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 citedConifer: Improving Complex Constrained Instruction-Following Ability of Large Language Models

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

collaborators

4 papers

cs.CV2024

IPAD: Industrial Process Anomaly Detection Dataset

Jinfan Liu, Yichao Yan, Junjie Li +5

Video anomaly detection (VAD) is a challenging task aiming to recognize anomalies in video frames, and existing large-scale VAD researches primarily focus on road traffic and human…

cs.CL2024★ 2 cited

Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language Models

Haoran Sun, Lixin Liu, Junjie Li +4

The ability of large language models (LLMs) to follow instructions is crucial to real-world applications. Despite recent advances, several studies have highlighted that LLMs strugg…

cs.SD2024

SEF-VC: Speaker Embedding Free Zero-Shot Voice Conversion with Cross Attention

Junjie Li, Yiwei Guo, Xie Chen +1

Zero-shot voice conversion (VC) aims to transfer the source speaker timbre to arbitrary unseen target speaker timbre, while keeping the linguistic content unchanged. Although the v…

cs.LG2023

Detecting Out-of-distribution Examples via Class-conditional Impressions Reappearing

Jinggang Chen, Xiaoyang Qu, Junjie Li +3

Out-of-distribution (OOD) detection aims at enhancing standard deep neural networks to distinguish anomalous inputs from original training data. Previous progress has introduced va…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.