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Cong Wang

4 papers hereh-index 225 citations8 works total

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

author position
  • first author2
  • middle author2

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

fields
  • cs.SD3
  • cs.MM1
same name
  • Cong Wang — 75 papers, h 5
  • Cong Wang — 12 papers, h 29
  • Cong Wang — 8 papers, h 5
  • Cong Wang — 8 papers, h 3
  • Cong Wang — 7 papers
  • Cong Wang — 6 papers, h 10

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 citedEnhancing Modal Fusion by Alignment and Label Matching for Multimodal Emotion Recognition

1 citations · 1 across the 2 of their papers we have counts for

collaborators

4 papers

cs.SD2025

RRPO: Robust Reward Policy Optimization for LLM-based Emotional TTS

Cong Wang, Changfeng Gao, Yang Xiang +7

Differentiable reinforcement learning (RL) frameworks like DiffRO offer a powerful approach for controllable text-to-speech (TTS), but are vulnerable to reward hacking, particularl…

cs.SD2025

Multi-Loss Learning for Speech Emotion Recognition with Energy-Adaptive Mixup and Frame-Level Attention

Cong Wang, Yizhong Geng, Yuhua Wen +7

Speech emotion recognition (SER) is an important technology in human-computer interaction. However, achieving high performance is challenging due to emotional complexity and scarce…

cs.SD2025

HQ-SVC: Towards High-Quality Zero-Shot Singing Voice Conversion in Low-Resource Scenarios

Bingsong Bai, Yizhong Geng, Fengping Wang +4

Zero-shot singing voice conversion (SVC) transforms a source singer's timbre to an unseen target speaker's voice while preserving melodic content without fine-tuning. Existing meth…

cs.MM2024★ 1 cited

Enhancing Modal Fusion by Alignment and Label Matching for Multimodal Emotion Recognition

Qifei Li, Yingming Gao, Yuhua Wen +2

To address the limitation in multimodal emotion recognition (MER) performance arising from inter-modal information fusion, we propose a novel MER framework based on multitask learn…

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