Kaizhi Qian

Researcher, International Business Machines

Joined

July 2019

Names

Kaizhi Qian

Emails

****@illinois.edu (Confirmed)

****@ibm.com (Confirmed)

****@gmail.com (Confirmed)

Personal Links

DBLP

Career & Education History

Researcher

International Business Machines (ibm.com)

2020 – Present

PhD student

University of Illinois, Urbana Champaign (illinois.edu)

2014 – 2020

Advisors, Relations & Conflicts

Coworker

Yang Zhang

2014 – Present

Coworker

Shiyu Chang

2014 – Present

PhD Advisor

Mark Hasegawa-Johnson

2014 – 2020

Expertise

Voice conversion

Present

Speech synthesis

Present

Speech enhancement

Present

Publications

A Hierarchical Probabilistic Framework for Incremental Knowledge Tracing in Classroom Settings
Xinyi Gao, Qiucheng Wu, Yang Zhang, Xuechen Liu, Kaizhi Qian, Ying Xu, Shiyu Chang
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning
Bairu Hou, Yang Zhang, Jiabao Ji, Yujian Liu, Kaizhi Qian, Jacob Andreas, Shiyu Chang
- Accepted by TMLR
- Readers: Everyone
ProsodyLM: Uncovering the Emerging Prosody Processing Capabilities in Speech Language Models
Kaizhi Qian, Xulin Fan, Junrui Ni, Slava Shechtman, Mark A. Hasegawa-Johnson, Chuang Gan, Yang Zhang
- COLM 2025
- Readers: Everyone
PLAY2PROMPT: Zero-shot Tool Instruction Optimization for LLM Agents via Tool Play
Wei Fang, Yang Zhang, Kaizhi Qian, James R. Glass, Yada Zhu
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling
Bairu Hou, Yujian Liu, Kaizhi Qian, Jacob Andreas, Shiyu Chang, Yang Zhang
- ICML 2024 Oral
- Readers: Everyone
Speech Self-Supervised Learning Using Diffusion Model Synthetic Data
Heting Gao, Kaizhi Qian, Junrui Ni, Chuang Gan, Mark A. Hasegawa-Johnson, Shiyu Chang, Yang Zhang
- ICML 2024 Oral
- Readers: Everyone
Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning
Zhongzhi Yu, Yang Zhang, Kaizhi Qian, Cheng Wan, Yonggan Fu, Yongan Zhang, Celine Lin
- ICML 2023 Poster
- Readers: Everyone
Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing
Yonggan Fu, Yang Zhang, Kaizhi Qian, Zhifan Ye, Zhongzhi Yu, Cheng-I Lai, Yingyan Lin
- Published: 31 Oct 2022, Last Modified: 08 Feb 2026
- NeurIPS 2022 Accept
- Readers: Everyone
ContentVec: An Improved Self-Supervised Speech Representation by Disentangling Speakers
Kaizhi Qian, Yang Zhang, Heting Gao, Junrui Ni, Cheng-I Lai, David D. Cox, Mark Hasegawa-Johnson, Shiyu Chang
- 2022 (modified: 26 Jan 2023)
- ICML 2022
- Readers: Everyone
WavPrompt: Towards Few-Shot Spoken Language Understanding with Frozen Language Models
Heting Gao, Junrui Ni, Kaizhi Qian, Yang Zhang, Shiyu Chang, Mark Hasegawa-Johnson
- 2022 (modified: 26 Jan 2023)
- INTERSPEECH 2022
- Readers: Everyone

View all 19 publications

Co-Authors

View all 40 co-authors