activity
20232026
most citedDual-Branch Knowledge Distillation for Noise-Robust Synthetic Speech Detection

10 citations · 30 across the 45 of their papers we have counts for

collaborators

46 papers

cs.CV2026

Realizing Immersive Volumetric Video: A Multimodal Framework for 6-DoF VR Engagement

Zhengxian Yang, Shengqi Wang, Shi Pan +8

Fully immersive experiences that tightly integrate 6-DoF visual and auditory interaction are essential for virtual and augmented reality. While such experiences can be achieved thr…

cs.CL2026

Exploring Knowledge Purification in Multi-Teacher Knowledge Distillation for LLMs

Ruihan Jin, Pengpeng Shao, Zhengqi Wen +5

Knowledge distillation has emerged as a pivotal technique for transferring knowledge from stronger large language models (LLMs) to smaller, more efficient models. However, traditio…

cs.SD2026

Edit Content, Preserve Acoustics: Imperceptible Text-Based Speech Editing via Self-Consistency Rewards

Yong Ren, Jiangyan Yi, Jianhua Tao +3

Imperceptible text-based speech editing modifies spoken content through transcript manipulation while preserving acoustic continuity. Prior acoustic-space approaches suffer from co…

cs.SD2026

OV-InstructTTS: Towards Open-Vocabulary Instruct Text-to-Speech

Yong Ren, Jiangyan Yi, Jianhua Tao +5

Instruct Text-to-Speech (InstructTTS) leverages natural language descriptions as style prompts to guide speech synthesis. However, existing InstructTTS methods mainly rely on a dir…

cs.CL2026

Atlas: Orchestrating Heterogeneous Models and Tools for Multi-Domain Complex Reasoning

Jinyang Wu, Guocheng Zhai, Ruihan Jin +5

The integration of large language models (LLMs) with external tools has significantly expanded the capabilities of AI agents. However, as the diversity of both LLMs and tools incre…

cs.MM2025

PSA-MF: Personality-Sentiment Aligned Multi-Level Fusion for Multimodal Sentiment Analysis

Heng Xie, Kang Zhu, Zhengqi Wen +4

Multimodal sentiment analysis (MSA) is a research field that recognizes human sentiments by combining textual, visual, and audio modalities. The main challenge lies in integrating…