Ming Tu

Joined

October 2019

Names

Ming Tu (Preferred)

Emails

****@gmail.com (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Research Scientist

Bytedance Inc. (bytedance.com)

2020 – 2020

Research Scientist

JD AI Research (jd.com)

2018 – 2020

Research Assistant

Arizona State University (asu.edu)

2014 – 2018

Advisors, Relations & Conflicts

Coworker

Yuxuan Wang

2020 – 2020

Coworker

Jing Huang

2018 – 2020

PhD Advisor

Visar Berisha

2014 – 2018

Expertise

Natural Language Processing

2018 – 2020

Speech recognition

2012 – 2020

Publications

ParaS2S: Benchmarking and Aligning Spoken Language Models for Paralinguistic-aware Speech-to-Speech Interaction
Shu-wen Yang, Ming Tu, Andy T. Liu, Xinghua Qu, Hung-yi Lee, Lu Lu, Yuxuan Wang, Yonghui Wu
- ICLR 2026 Poster
- Readers: Everyone
Process-Supervised Reinforcement Learning for Interactive Multimodal Tool-Use Agents
Weiting Tan, Xinghua Qu, Ming Tu, Meng Ge, Andy T. Liu, Philipp Koehn, Lu Lu
- Submitted to ICLR 2026
- Readers: Everyone
Efficient Neural Music Generation
Max W. Y. Lam, Qiao Tian, Tang Li, Zongyu Yin, Siyuan Feng, Ming Tu, Yuliang Ji, Rui Xia, Mingbo Ma, Xuchen Song, Jitong Chen, Yuping Wang, Yuxuan Wang
- NeurIPS 2023 poster
- Readers: Everyone
Graph Sequential Network for Reasoning over Sequences
Ming Tu, Jing Huang, Xiaodong He, Bowen Zhou
- 2020 (modified: 06 Nov 2022)
- CoRR 2020
- Readers: Everyone
Select, Answer and Explain: Interpretable Multi-Hop Reading Comprehension over Multiple Documents
Ming Tu, Kevin Huang, Guangtao Wang, Jing Huang, Xiaodong He, Bowen Zhou
- 2020 (modified: 06 Nov 2022)
- AAAI 2020
- Readers: Everyone
Speaker-Invariant Affective Representation Learning via Adversarial Training
Haoqi Li, Ming Tu, Jing Huang, Shrikanth Narayanan, Panayiotis G. Georgiou
- 2020 (modified: 17 Jul 2025)
- ICASSP 2020
- Readers: Everyone
Towards adversarial learning of speaker-invariant representation for speech emotion recognition
Ming Tu, Yun Tang, Jing Huang, Xiaodong He, Bowen Zhou
- 2019 (modified: 01 Oct 2024)
- CoRR 2019
- Readers: Everyone
I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences
Kong Aik Lee, Ville Hautamäki, Tomi Kinnunen, Hitoshi Yamamoto, Koji Okabe, Ville Vestman, Jing Huang, Guohong Ding, Hanwu Sun, Anthony Larcher, Rohan Kumar Das, Haizhou Li, Mickael Rouvier, Pierre-Michel Bousquet, Wei Rao, Qing Wang, Chunlei Zhang, Fahimeh Bahmaninezhad, Héctor Delgado, Jose Patino et al. (26 additional authors not shown)
- 2019 (modified: 09 Mar 2026)
- CoRR 2019
- Readers: Everyone
Multiple instance learning with graph neural networks
Ming Tu, Jing Huang, Xiaodong He, Bowen Zhou
- 2019 (modified: 06 Nov 2022)
- CoRR 2019
- Readers: Everyone
Select, Answer and Explain: Interpretable Multi-hop Reading Comprehension over Multiple Documents
Ming Tu, Kevin Huang, Guangtao Wang, Jing Huang, Xiaodong He, Bowen Zhou
- 2019 (modified: 06 Nov 2022)
- CoRR 2019
- Readers: Everyone

View all 34 publications

Co-Authors

View all 96 co-authors