Natural language question answering over RDF data. - Ruizhe Huang; Lei Zou 001 (SIGMOD Conference, 2013)

Natural language question answering over RDF: a graph data driven approach. - Lei Zou 001; Ruizhe Huang; Haixun Wang; Jeffrey Xu Yu; Wenqiang He; Dongyan Zhao 001 (SIGMOD Conference, 2014)

gStore: a graph-based SPARQL query engine. - Lei Zou 001; M. Tamer Özsu; Lei Chen 002; Xuchuan Shen; Ruizhe Huang; Dongyan Zhao 001 (VLDB J., 2014)

Making pattern queries bounded in big graphs. - Yang Cao 012; Wenfei Fan; Jinpeng Huai; Ruizhe Huang (ICDE, 2015)

Efficient MDI Adaptation for n-Gram Language Models. - Ruizhe Huang; Ke Li 018; Ashish Arora; Daniel Povey; Sanjeev Khudanpur (INTERSPEECH, 2020)

Training Hybrid Models on Noisy Transliterated Transcripts for Code-Switched Speech Recognition. - Matthew Wiesner; Mousmita Sarma; Ashish Arora; Desh Raj; Dongji Gao; Ruizhe Huang; Supreet Preet; Moris Johnson; Zikra Iqbal; Nagendra Goel; Jan Trmal; Leibny Paola García-Perera; et al. (Interspeech, 2021)

TorchAudio 2.1: Advancing Speech Recognition, Self-Supervised Learning, and Audio Processing Components for Pytorch. - Jeff Hwang; Moto Hira; Caroline Chen; Xiaohui Zhang 007; Zhaoheng Ni; Guangzhi Sun; Pingchuan Ma 001; Ruizhe Huang; Vineel Pratap; Yuekai Zhang; Anurag Kumar 003; Chin-Yun Yu; et al. (ASRU, 2023)

Building Keyword Search System from End-To-End Asr Systems. - Ruizhe Huang; Matthew Wiesner; Leibny Paola García-Perera; Daniel Povey; Jan Trmal; Sanjeev Khudanpur (ICASSP, 2023)

Auditing Frameworks Need Resource Isolation: A Systematic Study on the Super Producer Threat to System Auditing and Its Mitigation. - Peng Jiang 007; Ruizhe Huang; Ding Li 001; Yao Guo 001; Xiangqun Chen; Jianhai Luan; Yuxin Ren 001; Xinwei Hu (USENIX Security Symposium, 2023)

Towards Efficient Hugepage-aware Memory Deduplication. - Ruizhe Huang; Ding Li 001; Yao Guo 001; Xiangqun Chen; Yuntao Liu; Yuxin Ren 001; Ning Jia; Xinwei Hu (WORDS@SOSP, 2023)

TorchAudio 2.1: Advancing speech recognition, self-supervised learning, and audio processing components for PyTorch. - Jeff Hwang; Moto Hira; Caroline Chen; Xiaohui Zhang 007; Zhaoheng Ni; Guangzhi Sun; Pingchuan Ma 001; Ruizhe Huang; Vineel Pratap; Yuekai Zhang; Anurag Kumar 003; Chin-Yun Yu; et al. (CoRR, 2023)

ConEC: Earnings Call Dataset with Real-world Contexts for Benchmarking Contextual Speech Recognition. - Ruizhe Huang; Mahsa Yarmohammadi; Jan Trmal; Jing Liu; Desh Raj; Leibny Paola García; Alexei V. Ivanov; Patrick Ehlen; Mingzhi Yu; Dan Povey; Sanjeev Khudanpur (LREC/COLING, 2024)

Less Peaky and More Accurate CTC Forced Alignment by Label Priors. - Ruizhe Huang; Xiaohui Zhang 007; Zhaoheng Ni; Li Sun 010; Moto Hira; Jeff Hwang; Vimal Manohar; Vineel Pratap; Matthew Wiesner; Shinji Watanabe 001; Daniel Povey; Sanjeev Khudanpur (ICASSP, 2024)

Improving Neural Biasing for Contextual Speech Recognition by Early Context Injection and Text Perturbation. - Ruizhe Huang; Mahsa Yarmohammadi; Sanjeev Khudanpur; Daniel Povey (INTERSPEECH, 2024)

Evaluating the Santa Barbara Corpus: Challenges of the Breadth of Conversational Spoken Language. - Matthew Maciejewski; Dominik Klement; Ruizhe Huang; Matthew Wiesner; Sanjeev Khudanpur (INTERSPEECH, 2024)

DPUaudit: DPU-assisted Pull-based Architecture for Near-Zero Cost System Auditing. - Peng Jiang 007; Hanlin Jiang; Ruizhe Huang; Hanwen Lei; Zhineng Zhong; Shaokun Zhang; Yuxin Ren 001; Ning Jia; Xinwei Hu; Yao Guo 001; Xiangqun Chen; Ding Li 001 (HPCA, 2025)

Constructing Datasets From Public Police Body Camera Footage. - Jamie Rosas-Smith; Martijn Bartelds; Ruizhe Huang; Leibny Paola García-Perera; Karen Livescu; Dan Jurafsky; Anjalie Field (ICASSP, 2025)