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Jian Tang

4 papers hereh-index 589 citations11 works total

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

author position
  • middle author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • eess.AS2
  • cs.CL1
  • cs.SD1
same name
  • Jian Tang — 72 papers, h 45
  • Jian Tang — 41 papers, h 20
  • Jian Tang — 26 papers, h 12
  • Jian Tang — 23 papers, h 33
  • Jian Tang — 19 papers, h 19
  • Jian Tang — 18 papers, h 13

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 citedA Capsule based Approach for Polyphonic Sound Event Detection

2 citations · 2 across the 3 of their papers we have counts for

collaborators

4 papers

eess.AS2026

Multimodal Conversational Context for LLM-Based ASR: Data Construction, Training, and Benchmark

Longhao Li, Jian Tang, Yuxiang Kong +4

Conversational context provides semantic and acoustic cues across turns for automatic speech recognition (ASR), but relying on historical transcripts can propagate recognition erro…

cs.CL2026

Qwen-Audio-3.0-ASR Technical Report

Chuanmeng Bian, Daren Chen, Peixin Chen +42

In recent years, automatic speech recognition (ASR) has witnessed transformative advancements driven by three complementary paradigms: data scaling, model scaling, and deep integra…

cs.SD2026

Uni-ASR: Unified LLM-Based Architecture for Non-Streaming and Streaming Automatic Speech Recognition

Yinfeng Xia, Jian Tang, Junfeng Hou +2

Although the deep integration of the Automatic Speech Recognition (ASR) system with Large Language Models (LLMs) has significantly improved accuracy, the deployment of such systems…

eess.AS2018★ 2 cited

A Capsule based Approach for Polyphonic Sound Event Detection

Yaming Liu, Jian Tang, Yan Song +1

Polyphonic sound event detection (polyphonic SED) is an interesting but challenging task due to the concurrence of multiple sound events. Recently, SED methods based on convolution…

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