Kai Wang

According to our database, Kai Wang authored at least 15 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2026

OmniSonic: Towards Universal and Holistic Audio Generation from Video and Text.

Weiguo Pian, Saksham Singh Kushwaha, Zhimin Chen, Shijian Deng, Kai Wang, Yunhui Guo, Yapeng Tian

CoRR, April, 2026

2025

Explainable AI-Generated Image Detection RewardBench.

Michael Yang, Shijian Deng, William T. Doan, Kai Wang, Tianyu Yang, Harsh Singh, Yapeng Tian

CoRR, November, 2025

MEGA-Bench: Scaling Multimodal Evaluation to over 500 Real-World Tasks.

Jiacheng Chen, Tianhao Liang, Sherman Siu, Zhengqing Wang, Kai Wang, Yubo Wang, Yuansheng Ni, Ziyan Jiang, Wang Zhu, Bohan Lyu, Dongfu Jiang, Xuan He, Yuan Liu, Hexiang Hu, Xiang Yue, Wenhu Chen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Self-Improvement in Multimodal Large Language Models: A Survey.

Shijian Deng, Kai Wang, Tianyu Yang, Harsh Singh, Yapeng Tian

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

Audio-Visual Dataset Distillation.

Saksham Singh Kushwaha, Siva Sai Nagender Vasireddy, Kai Wang, Yapeng Tian

Trans. Mach. Learn. Res., 2024

HARWE: A multi-modal large-scale dataset for context-aware human activity recognition in smart working environments.

Alireza Esmaeilzehi, Ensieh Khazaei, Kai Wang, Navjot Kaur Kalsi, Pai Chet Ng, Huan Liu, Yuanhao Yu, Dimitrios Hatzinakos, Konstantinos N. Plataniotis

Pattern Recognit. Lett., 2024

AV-DiT: Efficient Audio-Visual Diffusion Transformer for Joint Audio and Video Generation.

Kai Wang, Shijian Deng, Jing Shi, Dimitrios Hatzinakos, Yapeng Tian

CoRR, 2024

MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark.

Yubo Wang, Xueguang Ma, Ge Zhang, Yuansheng Ni, Abhranil Chandra, Shiguang Guo, Weiming Ren, Aaran Arulraj, Xuan He, Ziyan Jiang, Tianle Li, Max Ku, Kai Wang, Alex Zhuang, Rongqi Fan, Xiang Yue, Wenhu Chen

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

MOMA: Mixture-of-Modality-Adaptations for Transferring Knowledge from Image Models Towards Efficient Audio-Visual Action Recognition.

Kai Wang, Dimitrios Hatzinakos

Proceedings of the IEEE International Conference on Acoustics, 2024

VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation.

Xuan He, Dongfu Jiang, Ge Zhang, Max Ku, Achint Soni, Sherman Siu, Haonan Chen, Abhranil Chandra, Ziyan Jiang, Aaran Arulraj, Kai Wang, Quy Duc Do, Yuansheng Ni, Bohan Lyu, Yaswanth Narsupalli, Rongqi Fan, Zhiheng Lyu, Bill Yuchen Lin, Wenhu Chen

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Towards Efficient Audio-Visual Learners via Empowering Pre-trained Vision Transformers with Cross-Modal Adaptation.

Kai Wang, Yapeng Tian, Dimitrios Hatzinakos

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

SEformer: Dual-Path Conformer Neural Network is a Good Speech Denoiser.

Kai Wang, Dimitrios Hatzinakos

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

2022

Cptnn: Cross-Parallel Transformer Neural Network For Time-Domain Speech Enhancement.

Kai Wang, Bengbeng He, Wei-Ping Zhu

Proceedings of the 17th International Workshop on Acoustic Signal Enhancement, 2022

2021

CAUNet: Context-Aware U-Net for Speech Enhancement in Time Domain.

Kai Wang, Bengbeng He, Wei-Ping Zhu

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

TSTNN: Two-Stage Transformer Based Neural Network for Speech Enhancement in the Time Domain.

Kai Wang, Bengbeng He, Wei-Ping Zhu

Proceedings of the IEEE International Conference on Acoustics, 2021