Learning Bandwidth Expansion Using Perceptually-motivated Loss. - Berthy Feng; Zeyu Jin; Jiaqi Su; Adam Finkelstein (ICASSP, 2019)

Perceptually-motivated Environment-specific Speech Enhancement. - Jiaqi Su; Adam Finkelstein; Zeyu Jin (ICASSP, 2019)

Acoustic Matching By Embedding Impulse Responses. - Jiaqi Su; Zeyu Jin; Adam Finkelstein (ICASSP, 2020)

HiFi-GAN: High-Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks. - Jiaqi Su; Zeyu Jin; Adam Finkelstein (INTERSPEECH, 2020)

The Performance Research of LTE-A Cellular Network Based on Relay and Pass-Through D2D Technology. - Liyan Zhang; Wenbin Zhang 001; Wenke Li; Jiaqi Su (CrownCom/WiCON, 2021)

Bandwidth Extension is All You Need. - Jiaqi Su; Yunyun Wang; Adam Finkelstein; Zeyu Jin (ICASSP, 2021)

HiFi-GAN-2: Studio-Quality Speech Enhancement via Generative Adversarial Networks Conditioned on Acoustic Features. - Jiaqi Su; Zeyu Jin; Adam Finkelstein (WASPAA, 2021)

Controllable Speech Representation Learning Via Voice Conversion and AIC Loss. - Yunyun Wang; Jiaqi Su; Adam Finkelstein; Zeyu Jin (ICASSP, 2022)

Studio-Quality Speech Enhancement - Jiaqi Su (2022)

TARN-VIST: Topic Aware Reinforcement Network for Visual Storytelling. - Weiran Chen 001; Xin Li; Jiaqi Su; Guiqian Zhu; Ying Li 065; Yi Ji 001; Chunping Liu (LREC/COLING, 2024)

MDX-GAN: Enhancing Perceptual Quality in Multi-Class Source Separation Via Adversarial Training. - Ke Chen 021; Jiaqi Su; Zeyu Jin (ICASSP, 2024)

Maskmark: Robust Neuralwatermarking for Real and Synthetic Speech. - Patrick O'Reilly; Zeyu Jin; Jiaqi Su; Bryan Pardo (ICASSP, 2024)

Glocal Cascading Network for Topic Enhanced Visual Storytelling. - Jiaqi Su; Weiran Chen 001; Yi Ji 001; Chunping Liu (ICASSP, 2024)

GR0: Self-Supervised Global Representation Learning for Zero-Shot Voice Conversion. - Yunyun Wang; Jiaqi Su; Adam Finkelstein; Zeyu Jin (ICASSP, 2024)

Improving Generalization of Speech Separation in Real-World Scenarios: Strategies in Simulation, Optimization, and Evaluation. - Ke Chen 021; Jiaqi Su; Taylor Berg-Kirkpatrick; Shlomo Dubnov; Zeyu Jin (INTERSPEECH, 2024)

Genhancer: High-Fidelity Speech Enhancement via Generative Modeling on Discrete Codec Tokens. - Haici Yang; Jiaqi Su; Minje Kim; Zeyu Jin (INTERSPEECH, 2024)

DeepSS2GO: protein function prediction from secondary structure. - Fu V. Song; Jiaqi Su; Sixing Huang; Neng Zhang; Kaiyue Li; Ming Ni; Maofu Liao (Briefings Bioinform., 2024)

Code Drift: Towards Idempotent Neural Audio Codecs. - Patrick O'Reilly; Prem Seetharaman; Jiaqi Su; Zeyu Jin; Bryan Pardo (CoRR, 2024)

Quality evaluation methods of handwritten Chinese characters: a comprehensive survey. - Weiran Chen 001; Jiaqi Su; Weitao Song; Jialiang Xu; Guiqian Zhu; Ying Li 065; Yi Ji 001; Chunping Liu (Multim. Syst., 2024)

Towards Fair and Equitable Incentives to Motivate Paid and Unpaid Crowd Contributions. - Shaun Wallace; Talie Massachi; Jiaqi Su; Dave Bryan Miller; Jeff Huang 002 (CHI, 2025)

Unraveling the Effects of Synthetic Data on End-to-End Autonomous Driving. - Junhao Ge; Zuhong Liu; Longteng Fan; Yifan Jiang; Jiaqi Su; Yiming Li; Zhejun Zhang; Siheng Chen (CoRR, 2025)

DiTSE: High-Fidelity Generative Speech Enhancement via Latent Diffusion Transformers. - Heitor R. Guimarães; Jiaqi Su; Rithesh Kumar; Tiago H. Falk; Zeyu Jin (CoRR, 2025)

Deep Audio Watermarks are Shallow: Limitations of Post-Hoc Watermarking Techniques for Speech. - Patrick O'Reilly; Zeyu Jin; Jiaqi Su; Bryan Pardo (CoRR, 2025)

MASLab: A Unified and Comprehensive Codebase for LLM-based Multi-Agent Systems. - Rui Ye 001; Keduan Huang; Qimin Wu; Yuzhu Cai; Tian Jin; Xianghe Pang; Xiangrui Liu; Jiaqi Su; Chen Qian; Bohan Tang; Kaiqu Liang; Jiaao Chen; et al. (CoRR, 2025)