Ruoming Pang - RankMe

133 papers A* 14A 16B 1C 3Misc 15Journal 68Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Parallel Track Transformers: Enabling Fast GPU Inference with Reduced Synchronization. CoRR Chong Wang, Nan Du, Tom Gunter, Tao Lei, Kulin Seth, Senyu Tong, Jianyu Wang, Guoli Yin, Xiyou Zhou, Kelvin Zou, Ruoming Pang
2025	J	`jnl`	AXLearn: Modular Large Model Training on Heterogeneous Infrastructure. CoRR Mark Lee, Tom Gunter, Chang Lan, John Peebles, Hanzhi Zhou, Kelvin Zou, Sneha Bangalore, Chung-Cheng Chiu, Nan Du, Xianzhi Du, Philipp Dufter, Ruixuan Hou, Haoshuo Huang, Dongseong Hwang, Xiang Kong, Jinhao Lei, Tao Lei, Meng Li, Li Li, Jiarui Lu, Zhiyun Lu, Yiping Ma, David Qiu, Vivek Rathod, Senyu Tong, Zhucheng Tu, Jianyu Wang, Yongqiang Wang, Zirui Wang, Floris Weers, Sam Wiseman, Guoli Yin, Bowen Zhang, Xiyou Zhou, Danyang Zhuo, Cheng Leong, Ruoming Pang
2025	—	`conf`	Can External Validation Tools Improve Annotation Quality for LLM-as-a-Judge? ACL (1) Arduin Findeis, Floris Weers, Guoli Yin, Ke Ye, Ruoming Pang, Tom Gunter
2025	J	`jnl`	Can External Validation Tools Improve Annotation Quality for LLM-as-a-Judge? CoRR Arduin Findeis, Floris Weers, Guoli Yin, Ke Ye, Ruoming Pang, Tom Gunter
2025	A*	`conf`	EC-DIT: Scaling Diffusion Transformers with Adaptive Expert-Choice Routing. ICLR Haotian Sun, Tao Lei, Bowen Zhang, Yanghao Li, Haoshuo Huang, Ruoming Pang, Bo Dai, Nan Du
2025	J	`jnl`	Finding Fantastic Experts in MoEs: A Unified Study for Expert Dropping Strategies and Observations. CoRR Ajay Jaiswal, Jianyu Wang, Yixiao Li, Pingzhi Li, Tianlong Chen, Zhangyang Wang, Chong Wang, Ruoming Pang, Xianzhi Du
2025	—	`conf`	Improve Vision Language Model Chain-of-thought Reasoning. ACL (1) Ruohong Zhang, Bowen Zhang, Yanghao Li, Haotian Zhang, Zhiqing Sun, Zhe Gan, Yinfei Yang, Ruoming Pang, Yiming Yang
2025	A*	`conf`	Instruction-Following Pruning for Large Language Models. ICML Bairu Hou, Qibin Chen, Jianyu Wang, Guoli Yin, Chong Wang, Nan Du, Ruoming Pang, Shiyu Chang, Tao Lei
2025	J	`jnl`	Instruction-Following Pruning for Large Language Models. CoRR Bairu Hou, Qibin Chen, Jianyu Wang, Guoli Yin, Chong Wang, Nan Du, Ruoming Pang, Shiyu Chang, Tao Lei
2025	J	`jnl`	MANZANO: A Simple and Scalable Unified Multimodal Model with a Hybrid Vision Tokenizer. CoRR Yanghao Li, Rui Qian, Bowen Pan, Haotian Zhang, Haoshuo Huang, Bowen Zhang, Jialing Tong, Haoxuan You, Xianzhi Du, Zhe Gan, Hyunjik Kim, Chao Jia, Zhenbang Wang, Yinfei Yang, Mingfei Gao, Zi-Yi Dou, Wenze Hu, Chang Gao, Dongxu Li, Philipp Dufter, Zirui Wang, Guoli Yin, Zhengdong Zhang, Chen Chen, Yang Zhao, Ruoming Pang, Zhifeng Chen
2025	—	`conf`	MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains. NAACL (Findings) Guoli Yin, Haoping Bai, Shuang Ma, Feng Nan, Yanchao Sun, Zhaoyang Xu, Shen Ma, Jiarui Lu, Xiang Kong, Aonan Zhang, Dian Ang Yap, Yizhe Zhang, Karsten Ahnert, Vik Kamath, Mathias Berglund, Dominic Walsh, Tobias Gindele, Juergen Wiest, Zhengfeng Lai, Xiaoming Wang, Jiulong Shan, Meng Cao, Ruoming Pang, Zirui Wang
2025	J	`jnl`	RATTENTION: Towards the Minimal Sliding Window Size in Local-Global Attention Models. CoRR Bailin Wang, Chang Lan, Chong Wang, Ruoming Pang
2025	J	`jnl`	Reusing Pre-Training Data at Test Time is a Compute Multiplier. CoRR Alex Fang, Thomas Voice, Ruoming Pang, Ludwig Schmidt, Tom Gunter
2025	A*	`conf`	Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo. ICLR Shengyu Feng, Xiang Kong, Shuang Ma, Aonan Zhang, Dong Yin, Chong Wang, Ruoming Pang, Yiming Yang
2025	J	`jnl`	Synthetic bootstrapped pretraining. CoRR Zitong Yang, Aonan Zhang, Hong Liu, Tatsunori Hashimoto, Emmanuel J. Candès, Chong Wang, Ruoming Pang
2025	A*	`conf`	Talking Turns: Benchmarking Audio Foundation Models on Turn-Taking Dynamics. ICLR Siddhant Arora, Zhiyun Lu, Chung-Cheng Chiu, Ruoming Pang, Shinji Watanabe
2025	J	`jnl`	Talking Turns: Benchmarking Audio Foundation Models on Turn-Taking Dynamics. CoRR Siddhant Arora, Zhiyun Lu, Chung-Cheng Chiu, Ruoming Pang, Shinji Watanabe
2025	—	`conf`	ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities. NAACL (Findings) Jiarui Lu, Thomas Holleis, Yizhe Zhang, Bernhard Aumayer, Feng Nan, Haoping Bai, Shuang Ma, Shen Ma, Mengyu Li, Guoli Yin, Zirui Wang, Ruoming Pang
2024	J	`jnl`	EC-DIT: Scaling Diffusion Transformers with Adaptive Expert-Choice Routing. CoRR Haotian Sun, Tao Lei, Bowen Zhang, Yanghao Li, Haoshuo Huang, Ruoming Pang, Bo Dai, Nan Du
2024	J	`jnl`	Improve Vision Language Model Chain-of-thought Reasoning. CoRR Ruohong Zhang, Bowen Zhang, Yanghao Li, Haotian Zhang, Zhiqing Sun, Zhe Gan, Yinfei Yang, Ruoming Pang, Yiming Yang
2024	J	`jnl`	Large Language Model-guided Document Selection. CoRR Xiang Kong, Tom Gunter, Ruoming Pang
2024	J	`jnl`	MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training. CoRR Brandon McKinzie, Zhe Gan, Jean-Philippe Fauconnier, Sam Dodge, Bowen Zhang, Philipp Dufter, Dhruti Shah, Xianzhi Du, Futang Peng, Floris Weers, Anton Belyi, Haotian Zhang, Karanjeet Singh, Doug Kang, Ankur Jain, Hongyu Hè, Max Schwarzer, Tom Gunter, Xiang Kong, Aonan Zhang, Jianyu Wang, Chong Wang, Nan Du, Tao Lei, Sam Wiseman, Guoli Yin, Mark Lee, Zirui Wang, Ruoming Pang, Peter Grasch, Alexander Toshev, Yinfei Yang
2024	—	`conf`	MM1: Methods, Analysis and Insights from Multimodal LLM Pre-training. ECCV (29) Brandon McKinzie, Zhe Gan, Jean-Philippe Fauconnier, Sam Dodge, Bowen Zhang, Philipp Dufter, Dhruti Shah, Xianzhi Du, Futang Peng, Anton Belyi, Haotian Zhang, Karanjeet Singh, Doug Kang, Hongyu Hè, Max Schwarzer, Tom Gunter, Xiang Kong, Aonan Zhang, Jianyu Wang, Chong Wang, Nan Du, Tao Lei, Sam Wiseman, Mark Lee, Zirui Wang, Ruoming Pang, Peter Grasch, Alexander Toshev, Yinfei Yang
2024	J	`jnl`	MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains. CoRR Guoli Yin, Haoping Bai, Shuang Ma, Feng Nan, Yanchao Sun, Zhaoyang Xu, Shen Ma, Jiarui Lu, Xiang Kong, Aonan Zhang, Dian Ang Yap, Yizhe Zhang, Karsten Ahnert, Vik Kamath, Mathias Berglund, Dominic Walsh, Tobias Gindele, Juergen Wiest, Zhengfeng Lai, Xiaoming Wang, Jiulong Shan, Meng Cao, Ruoming Pang, Zirui Wang
2024	J	`jnl`	Revisiting MoE and Dense Speed-Accuracy Comparisons for LLM Training. CoRR Xianzhi Du, Tom Gunter, Xiang Kong, Mark Lee, Zirui Wang, Aonan Zhang, Nan Du, Ruoming Pang
2024	J	`jnl`	Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo. CoRR Shengyu Feng, Xiang Kong, Shuang Ma, Aonan Zhang, Dong Yin, Chong Wang, Ruoming Pang, Yiming Yang
2024	J	`jnl`	ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities. CoRR Jiarui Lu, Thomas Holleis, Yizhe Zhang, Bernhard Aumayer, Feng Nan, Felix Bai, Shuang Ma, Shen Ma, Mengyu Li, Guoli Yin, Zirui Wang, Ruoming Pang
2023	—	`conf`	Hyperscale Hardware Optimized Neural Architecture Search. ASPLOS (3) Sheng Li, Garrett Andersen, Tao Chen, Liqun Cheng, Julian Grady, Da Huang, Quoc V. Le, Andrew Li, Xin Li, Yang Li, Chen Liang, Yifeng Lu, Yun Ni, Ruoming Pang, Mingxing Tan, Martin Wicke, Gang Wu, Shengqi Zhu, Parthasarathy Ranganathan, Norman P. Jouppi
2023	J	`jnl`	Instruction-Following Speech Recognition. CoRR Cheng-I Jeff Lai, Zhiyun Lu, Liangliang Cao, Ruoming Pang
2023	J	`jnl`	Mobile V-MoEs: Scaling Down Vision Transformers via Sparse Mixture-of-Experts. CoRR Erik A. Daxberger, Floris Weers, Bowen Zhang, Tom Gunter, Ruoming Pang, Marcin Eichner, Michael Emmersberger, Yinfei Yang, Alexander Toshev, Xianzhi Du
2023	J	`jnl`	Practical Conformer: Optimizing size, speed and flops of Conformer for on-Device and cloud ASR. CoRR Rami Botros, Anmol Gulati, Tara N. Sainath, Krzysztof Choromanski, Ruoming Pang, Trevor Strohman, Weiran Wang, Jiahui Yu
2023	A*	`conf`	STAIR: Learning Sparse Text and Image Representation in Grounded Tokens. EMNLP Chen Chen, Bowen Zhang, Liangliang Cao, Jiguang Shen, Tom Gunter, Albin Madappally Jose, Alexander Toshev, Yantao Zheng, Jonathon Shlens, Ruoming Pang, Yinfei Yang
2023	J	`jnl`	STAIR: Learning Sparse Text and Image Representation in Grounded Tokens. CoRR Chen Chen, Bowen Zhang, Liangliang Cao, Jiguang Shen, Tom Gunter, Albin Madappally Jose, Alexander Toshev, Jonathon Shlens, Ruoming Pang, Yinfei Yang
2022	A	`conf`	A Language Agnostic Multilingual Streaming On-Device ASR System. INTERSPEECH Bo Li, Tara N. Sainath, Ruoming Pang, Shuo-Yiin Chang, Qiumin Xu, Trevor Strohman, Vince Chen, Qiao Liang, Heguang Liu, Yanzhang He, Parisa Haghani, Sameer Bidichandani
2022	J	`jnl`	A Language Agnostic Multilingual Streaming On-Device ASR System. CoRR Bo Li, Tara N. Sainath, Ruoming Pang, Shuo-Yiin Chang, Qiumin Xu, Trevor Strohman, Vince Chen, Qiao Liang, Heguang Liu, Yanzhang He, Parisa Haghani, Sameer Bidichandani
2022	J	`jnl`	BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition. IEEE J. Sel. Top. Signal Process. Yu Zhang, Daniel S. Park, Wei Han, James Qin, Anmol Gulati, Joel Shor, Aren Jansen, Yuanzhong Xu, Yanping Huang, Shibo Wang, Zongwei Zhou, Bo Li, Min Ma, William Chan, Jiahui Yu, Yongqiang Wang, Liangliang Cao, Khe Chai Sim, Bhuvana Ramabhadran, Tara N. Sainath, Françoise Beaufays, Zhifeng Chen, Quoc V. Le, Chung-Cheng Chiu, Ruoming Pang, Yonghui Wu
2022	Misc	`conf`	Improving The Latency And Quality Of Cascaded Encoders. ICASSP Tara N. Sainath, Yanzhang He, Arun Narayanan, Rami Botros, Weiran Wang, David Qiu, Chung-Cheng Chiu, Rohit Prabhavalkar, Alexander Gruenstein, Anmol Gulati, Bo Li, David Rybach, Emmanuel Guzman, Ian McGraw, James Qin, Krzysztof Choromanski, Qiao Liang, Robert David, Ruoming Pang, Shuo-Yiin Chang, Trevor Strohman, W. Ronny Huang, Wei Han, Yonghui Wu, Yu Zhang
2022	Misc	`conf`	Massively Multilingual ASR: A Lifelong Learning Solution. ICASSP Bo Li, Ruoming Pang, Yu Zhang, Tara N. Sainath, Trevor Strohman, Parisa Haghani, Yun Zhu, Brian Farris, Neeraj Gaur, Manasa Prasad
2022	—	`conf`	Pathways: Asynchronous Distributed Dataflow for ML. MLSys Paul Barham, Aakanksha Chowdhery, Jeff Dean, Sanjay Ghemawat, Steven Hand, Dan Hurt, Michael Isard, Hyeontaek Lim, Ruoming Pang, Sudip Roy, Brennan Saeta, Parker Schuh, Ryan Sepassi, Laurent El Shafey, Chandramohan A. Thekkath, Yonghui Wu
2022	J	`jnl`	Pathways: Asynchronous Distributed Dataflow for ML. CoRR Paul Barham, Aakanksha Chowdhery, Jeff Dean, Sanjay Ghemawat, Steven Hand, Dan Hurt, Michael Isard, Hyeontaek Lim, Ruoming Pang, Sudip Roy, Brennan Saeta, Parker Schuh, Ryan Sepassi, Laurent El Shafey, Chandramohan A. Thekkath, Yonghui Wu
2022	A	`conf`	Sentence-Select: Large-Scale Language Model Data Selection for Rare-Word Speech Recognition. INTERSPEECH W. Ronny Huang, Cal Peyser, Tara N. Sainath, Ruoming Pang, Trevor D. Strohman, Shankar Kumar
2022	J	`jnl`	Sentence-Select: Large-Scale Language Model Data Selection for Rare-Word Speech Recognition. CoRR W. Ronny Huang, Cal Peyser, Tara N. Sainath, Ruoming Pang, Trevor Strohman, Shankar Kumar
2022	Misc	`conf`	Transducer-Based Streaming Deliberation for Cascaded Encoders. ICASSP Ke Hu, Tara N. Sainath, Arun Narayanan, Ruoming Pang, Trevor Strohman
2022	A*	`conf`	Vector-quantized Image Modeling with Improved VQGAN. ICLR Jiahui Yu, Xin Li, Jing Yu Koh, Han Zhang, Ruoming Pang, James Qin, Alexander Ku, Yuanzhong Xu, Jason Baldridge, Yonghui Wu
2021	Misc	`conf`	A Better and Faster end-to-end Model for Streaming ASR. ICASSP Bo Li, Anmol Gulati, Jiahui Yu, Tara N. Sainath, Chung-Cheng Chiu, Arun Narayanan, Shuo-Yiin Chang, Ruoming Pang, Yanzhang He, James Qin, Wei Han, Qiao Liang, Yu Zhang, Trevor Strohman, Yonghui Wu
2021	A	`conf`	An Efficient Streaming Non-Recurrent On-Device End-to-End Model with Improvements to Rare-Word Modeling. Interspeech Tara N. Sainath, Yanzhang He, Arun Narayanan, Rami Botros, Ruoming Pang, David Rybach, Cyril Allauzen, Ehsan Variani, James Qin, Quoc-Nam Le-The, Shuo-Yiin Chang, Bo Li, Anmol Gulati, Jiahui Yu, Chung-Cheng Chiu, Diamantino Caseiro, Wei Li, Qiao Liang, Pat Rondon
2021	J	`jnl`	BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition. CoRR Yu Zhang, Daniel S. Park, Wei Han, James Qin, Anmol Gulati, Joel Shor, Aren Jansen, Yuanzhong Xu, Yanping Huang, Shibo Wang, Zongwei Zhou, Bo Li, Min Ma, William Chan, Jiahui Yu, Yongqiang Wang, Liangliang Cao, Khe Chai Sim, Bhuvana Ramabhadran, Tara N. Sainath, Françoise Beaufays, Zhifeng Chen, Quoc V. Le, Chung-Cheng Chiu, Ruoming Pang, Yonghui Wu
2021	A	`conf`	Bridging the Gap Between Streaming and Non-Streaming ASR Systems by Distilling Ensembles of CTC and RNN-T Models. Interspeech Thibault Doutre, Wei Han, Chung-Cheng Chiu, Ruoming Pang, Olivier Siohan, Liangliang Cao
2021	J	`jnl`	Bridging the gap between streaming and non-streaming ASR systems bydistilling ensembles of CTC and RNN-T models. CoRR Thibault Doutre, Wei Han, Chung-Cheng Chiu, Ruoming Pang, Olivier Siohan, Liangliang Cao
2021	Misc	`conf`	Cascaded Encoders for Unifying Streaming and Non-Streaming ASR. ICASSP Arun Narayanan, Tara N. Sainath, Ruoming Pang, Jiahui Yu, Chung-Cheng Chiu, Rohit Prabhavalkar, Ehsan Variani, Trevor Strohman
2021	J	`jnl`	Co-training Transformer with Videos and Images Improves Action Recognition. CoRR Bowen Zhang, Jiahui Yu, Christopher Fifty, Wei Han, Andrew M. Dai, Ruoming Pang, Fei Sha
2021	A*	`conf`	Dual-mode ASR: Unify and Improve Streaming ASR with Full-context Modeling. ICLR Jiahui Yu, Wei Han, Anmol Gulati, Chung-Cheng Chiu, Bo Li, Tara N. Sainath, Yonghui Wu, Ruoming Pang
2021	Misc	`conf`	Dynamic Sparsity Neural Networks for Automatic Speech Recognition. ICASSP Zhaofeng Wu, Ding Zhao, Qiao Liang, Jiahui Yu, Anmol Gulati, Ruoming Pang
2021	Misc	`conf`	FastEmit: Low-Latency Streaming ASR with Sequence-Level Emission Regularization. ICASSP Jiahui Yu, Chung-Cheng Chiu, Bo Li, Shuo-Yiin Chang, Tara N. Sainath, Yanzhang He, Arun Narayanan, Wei Han, Anmol Gulati, Yonghui Wu, Ruoming Pang
2021	J	`jnl`	GSPMD: General and Scalable Parallelization for ML Computation Graphs. CoRR Yuanzhong Xu, HyoukJoong Lee, Dehao Chen, Blake A. Hechtman, Yanping Huang, Rahul Joshi, Maxim Krikun, Dmitry Lepikhin, Andy Ly, Marcello Maggioni, Ruoming Pang, Noam Shazeer, Shibo Wang, Tao Wang, Yonghui Wu, Zhifeng Chen
2021	Misc	`conf`	Improving Streaming Automatic Speech Recognition with Non-Streaming Model Distillation on Unsupervised Data. ICASSP Thibault Doutre, Wei Han, Min Ma, Zhiyun Lu, Chung-Cheng Chiu, Ruoming Pang, Arun Narayanan, Ananya Misra, Yu Zhang, Liangliang Cao
2021	—	`conf`	RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions. SLT Chung-Cheng Chiu, Arun Narayanan, Wei Han, Rohit Prabhavalkar, Yu Zhang, Navdeep Jaitly, Ruoming Pang, Tara N. Sainath, Patrick Nguyen, Liangliang Cao, Yonghui Wu
2021	C	`conf`	Scaling End-to-End Models for Large-Scale Multilingual ASR. ASRU Bo Li, Ruoming Pang, Tara N. Sainath, Anmol Gulati, Yu Zhang, James Qin, Parisa Haghani, W. Ronny Huang, Min Ma, Junwen Bai
2021	J	`jnl`	Scaling End-to-End Models for Large-Scale Multilingual ASR. CoRR Bo Li, Ruoming Pang, Tara N. Sainath, Anmol Gulati, Yu Zhang, James Qin, Parisa Haghani, W. Ronny Huang, Min Ma
2021	A*	`conf`	Searching for Fast Model Families on Datacenter Accelerators. CVPR Sheng Li, Mingxing Tan, Ruoming Pang, Andrew Li, Liqun Cheng, Quoc V. Le, Norman P. Jouppi
2021	J	`jnl`	Searching for Fast Model Families on Datacenter Accelerators. CoRR Sheng Li, Mingxing Tan, Ruoming Pang, Andrew Li, Liqun Cheng, Quoc V. Le, Norman P. Jouppi
2021	—	`conf`	Transformer Based Deliberation for Two-Pass Speech Recognition. SLT Ke Hu, Ruoming Pang, Tara N. Sainath, Trevor Strohman
2021	J	`jnl`	Transformer Based Deliberation for Two-Pass Speech Recognition. CoRR Ke Hu, Ruoming Pang, Tara N. Sainath, Trevor Strohman
2021	A	`conf`	Unsupervised Learning of Disentangled Speech Content and Style Representation. Interspeech Andros Tjandra, Ruoming Pang, Yu Zhang, Shigeki Karita
2021	J	`jnl`	Vector-quantized Image Modeling with Improved VQGAN. CoRR Jiahui Yu, Xin Li, Jing Yu Koh, Han Zhang, Ruoming Pang, James Qin, Alexander Ku, Yuanzhong Xu, Jason Baldridge, Yonghui Wu
2021	J	`jnl`	W2v-BERT: Combining Contrastive Learning and Masked Language Modeling for Self-Supervised Speech Pre-Training. CoRR Yu-An Chung, Yu Zhang, Wei Han, Chung-Cheng Chiu, James Qin, Ruoming Pang, Yonghui Wu
2021	C	`conf`	w2v-BERT: Combining Contrastive Learning and Masked Language Modeling for Self-Supervised Speech Pre-Training. ASRU Yu-An Chung, Yu Zhang, Wei Han, Chung-Cheng Chiu, James Qin, Ruoming Pang, Yonghui Wu
2020	J	`jnl`	A Better and Faster End-to-End Model for Streaming ASR. CoRR Bo Li, Anmol Gulati, Jiahui Yu, Tara N. Sainath, Chung-Cheng Chiu, Arun Narayanan, Shuo-Yiin Chang, Ruoming Pang, Yanzhang He, James Qin, Wei Han, Qiao Liang, Yu Zhang, Trevor Strohman, Yonghui Wu
2020	Misc	`conf`	A Streaming On-Device End-To-End Model Surpassing Server-Side Conventional Model Quality and Latency. ICASSP Tara N. Sainath, Yanzhang He, Bo Li, Arun Narayanan, Ruoming Pang, Antoine Bruguier, Shuo-Yiin Chang, Wei Li, Raziel Alvarez, Zhifeng Chen, Chung-Cheng Chiu, David Garcia, Alexander Gruenstein, Ke Hu, Anjuli Kannan, Qiao Liang, Ian McGraw, Cal Peyser, Rohit Prabhavalkar, Golan Pundak, David Rybach, Yuan Shangguan, Yash Sheth, Trevor Strohman, Mirkó Visontai, Yonghui Wu, Yu Zhang, Ding Zhao
2020	J	`jnl`	A Streaming On-Device End-to-End Model Surpassing Server-Side Conventional Model Quality and Latency. CoRR Tara N. Sainath, Yanzhang He, Bo Li, Arun Narayanan, Ruoming Pang, Antoine Bruguier, Shuo-Yiin Chang, Wei Li, Raziel Alvarez, Zhifeng Chen, Chung-Cheng Chiu, David Garcia, Alexander Gruenstein, Ke Hu, Minho Jin, Anjuli Kannan, Qiao Liang, Ian McGraw, Cal Peyser, Rohit Prabhavalkar, Golan Pundak, David Rybach, Yuan Shangguan, Yash Sheth, Trevor Strohman, Mirkó Visontai, Yonghui Wu, Yu Zhang, Ding Zhao
2020	Misc	`conf`	An Attention-Based Joint Acoustic and Text on-Device End-To-End Model. ICASSP Tara N. Sainath, Ruoming Pang, Ron J. Weiss, Yanzhang He, Chung-Cheng Chiu, Trevor Strohman
2020	J	`jnl`	BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models. CoRR Jiahui Yu, Pengchong Jin, Hanxiao Liu, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Thomas S. Huang, Xiaodan Song, Ruoming Pang, Quoc V. Le
2020	—	`conf`	BigNAS: Scaling up Neural Architecture Search with Big Single-Stage Models. ECCV (7) Jiahui Yu, Pengchong Jin, Hanxiao Liu, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Thomas S. Huang, Xiaodan Song, Ruoming Pang, Quoc Le
2020	J	`jnl`	Cascaded encoders for unifying streaming and non-streaming ASR. CoRR Arun Narayanan, Tara N. Sainath, Ruoming Pang, Jiahui Yu, Chung-Cheng Chiu, Rohit Prabhavalkar, Ehsan Variani, Trevor Strohman
2020	A	`conf`	Conformer: Convolution-augmented Transformer for Speech Recognition. INTERSPEECH Anmol Gulati, James Qin, Chung-Cheng Chiu, Niki Parmar, Yu Zhang, Jiahui Yu, Wei Han, Shibo Wang, Zhengdong Zhang, Yonghui Wu, Ruoming Pang
2020	J	`jnl`	Conformer: Convolution-augmented Transformer for Speech Recognition. CoRR Anmol Gulati, James Qin, Chung-Cheng Chiu, Niki Parmar, Yu Zhang, Jiahui Yu, Wei Han, Shibo Wang, Zhengdong Zhang, Yonghui Wu, Ruoming Pang
2020	A	`conf`	ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context. INTERSPEECH Wei Han, Zhengdong Zhang, Yu Zhang, Jiahui Yu, Chung-Cheng Chiu, James Qin, Anmol Gulati, Ruoming Pang, Yonghui Wu
2020	J	`jnl`	ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context. CoRR Wei Han, Zhengdong Zhang, Yu Zhang, Jiahui Yu, Chung-Cheng Chiu, James Qin, Anmol Gulati, Ruoming Pang, Yonghui Wu
2020	Misc	`conf`	Deliberation Model Based Two-Pass End-To-End Speech Recognition. ICASSP Ke Hu, Tara N. Sainath, Ruoming Pang, Rohit Prabhavalkar
2020	J	`jnl`	Deliberation Model Based Two-Pass End-to-End Speech Recognition. CoRR Ke Hu, Tara N. Sainath, Ruoming Pang, Rohit Prabhavalkar
2020	J	`jnl`	Dynamic Sparsity Neural Networks for Automatic Speech Recognition. CoRR Zhaofeng Wu, Ding Zhao, Qiao Liang, Jiahui Yu, Anmol Gulati, Ruoming Pang
2020	A*	`conf`	EfficientDet: Scalable and Efficient Object Detection. CVPR Mingxing Tan, Ruoming Pang, Quoc V. Le
2020	A	`conf`	Emitting Word Timings with End-to-End Models. INTERSPEECH Tara N. Sainath, Ruoming Pang, David Rybach, Basi García, Trevor Strohman
2020	J	`jnl`	FastEmit: Low-latency Streaming ASR with Sequence-level Emission Regularization. CoRR Jiahui Yu, Chung-Cheng Chiu, Bo Li, Shuo-Yiin Chang, Tara N. Sainath, Yanzhang He, Arun Narayanan, Wei Han, Anmol Gulati, Yonghui Wu, Ruoming Pang
2020	J	`jnl`	Improving Streaming Automatic Speech Recognition With Non-Streaming Model Distillation On Unsupervised Data. CoRR Thibault Doutre, Wei Han, Min Ma, Zhiyun Lu, Chung-Cheng Chiu, Ruoming Pang, Arun Narayanan, Ananya Misra, Yu Zhang, Liangliang Cao
2020	A	`conf`	Improving Tail Performance of a Deliberation E2E ASR Model Using a Large Text Corpus. INTERSPEECH Cal Peyser, Sepand Mavandadi, Tara N. Sainath, James Apfel, Ruoming Pang, Shankar Kumar
2020	J	`jnl`	Improving Tail Performance of a Deliberation E2E ASR Model Using a Large Text Corpus. CoRR Cal Peyser, Sepand Mavandadi, Tara N. Sainath, James Apfel, Ruoming Pang, Shankar Kumar
2020	A	`conf`	Parallel Rescoring with Transformer for Streaming On-Device Speech Recognition. INTERSPEECH Wei Li, James Qin, Chung-Cheng Chiu, Ruoming Pang, Yanzhang He
2020	J	`jnl`	Parallel Rescoring with Transformer for Streaming On-Device Speech Recognition. CoRR Wei Li, James Qin, Chung-Cheng Chiu, Ruoming Pang, Yanzhang He
2020	J	`jnl`	Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition. CoRR Yu Zhang, James Qin, Daniel S. Park, Wei Han, Chung-Cheng Chiu, Ruoming Pang, Quoc V. Le, Yonghui Wu
2020	J	`jnl`	RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions. CoRR Chung-Cheng Chiu, Arun Narayanan, Wei Han, Rohit Prabhavalkar, Yu Zhang, Navdeep Jaitly, Ruoming Pang, Tara N. Sainath, Patrick Nguyen, Liangliang Cao, Yonghui Wu
2020	Misc	`conf`	Towards Fast and Accurate Streaming End-To-End ASR. ICASSP Bo Li, Shuo-Yiin Chang, Tara N. Sainath, Ruoming Pang, Yanzhang He, Trevor Strohman, Yonghui Wu
2020	J	`jnl`	Universal ASR: Unify and Improve Streaming ASR with Full-context Modeling. CoRR Jiahui Yu, Wei Han, Anmol Gulati, Chung-Cheng Chiu, Bo Li, Tara N. Sainath, Yonghui Wu, Ruoming Pang
2020	J	`jnl`	Unsupervised Learning of Disentangled Speech Content and Style Representation. CoRR Andros Tjandra, Ruoming Pang, Yu Zhang, Shigeki Karita
2019	C	`conf`	A Comparison of End-to-End Models for Long-Form Speech Recognition. ASRU Chung-Cheng Chiu, Anjuli Kannan, Rohit Prabhavalkar, Zhifeng Chen, Tara N. Sainath, Yonghui Wu, Wei Han, Yu Zhang, Ruoming Pang, Sergey Kishchenko, Patrick Nguyen, Arun Narayanan, Hank Liao, Shuyuan Zhang
2019	J	`jnl`	A comparison of end-to-end models for long-form speech recognition. CoRR Chung-Cheng Chiu, Wei Han, Yu Zhang, Ruoming Pang, Sergey Kishchenko, Patrick Nguyen, Arun Narayanan, Hank Liao, Shuyuan Zhang, Anjuli Kannan, Rohit Prabhavalkar, Zhifeng Chen, Tara N. Sainath, Yonghui Wu
2019	J	`jnl`	EfficientDet: Scalable and Efficient Object Detection. CoRR Mingxing Tan, Ruoming Pang, Quoc V. Le
2019	—	`conf`	Hierarchical Generative Modeling for Controllable Speech Synthesis. ICLR (Poster) Wei-Ning Hsu, Yu Zhang, Ron J. Weiss, Heiga Zen, Yonghui Wu, Yuxuan Wang, Yuan Cao, Ye Jia, Zhifeng Chen, Jonathan Shen, Patrick Nguyen, Ruoming Pang
2019	J	`jnl`	Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling. CoRR Jonathan Shen, Patrick Nguyen, Yonghui Wu, Zhifeng Chen, Mia Xu Chen, Ye Jia, Anjuli Kannan, Tara N. Sainath, Yuan Cao, Chung-Cheng Chiu, Yanzhang He, Jan Chorowski, Smit Hinsu, Stella Laurenzo, James Qin, Orhan Firat, Wolfgang Macherey, Suyog Gupta, Ankur Bapna, Shuyuan Zhang, Ruoming Pang, Ron J. Weiss, Rohit Prabhavalkar, Qiao Liang, Benoit Jacob, Bowen Liang, HyoukJoong Lee, Ciprian Chelba, Sébastien Jean, Bo Li, Melvin Johnson, Rohan Anil, Rajat Tibrewal, Xiaobing Liu, Akiko Eriguchi, Navdeep Jaitly, Naveen Ari, Colin Cherry, Parisa Haghani, Otavio Good, Youlong Cheng, Raziel Alvarez, Isaac Caswell, Wei-Ning Hsu, Zongheng Yang, Kuan-Chieh Wang, Ekaterina Gonina, Katrin Tomanek, Ben Vanik, Zelin Wu, Llion Jones, Mike Schuster, Yanping Huang, Dehao Chen, Kazuki Irie, George F. Foster, John Richardson, Klaus Macherey, Antoine Bruguier, Heiga Zen, Colin Raffel, Shankar Kumar, Kanishka Rao, David Rybach, Matthew Murray, Vijayaditya Peddinti, Maxim Krikun, Michiel Bacchiani, Thomas B. Jablin, Robert Suderman, Ian Williams, Benjamin Lee, Deepti Bhatia, Justin Carlson, Semih Yavuz, Yu Zhang, Ian McGraw, Max Galkin, Qi Ge, Golan Pundak, Chad Whipkey, Todd Wang, Uri Alon, Dmitry Lepikhin, Ye Tian, Sara Sabour, William Chan, Shubham Toshniwal, Baohua Liao, Michael Nirschl, Pat Rondon
2019	A*	`conf`	MnasNet: Platform-Aware Neural Architecture Search for Mobile. CVPR Mingxing Tan, Bo Chen, Ruoming Pang, Vijay Vasudevan, Mark Sandler, Andrew Howard, Quoc V. Le
2019	—	`conf`	Monotonic Infinite Lookback Attention for Simultaneous Machine Translation. ACL (1) Naveen Arivazhagan, Colin Cherry, Wolfgang Macherey, Chung-Cheng Chiu, Semih Yavuz, Ruoming Pang, Wei Li, Colin Raffel
2019	J	`jnl`	Monotonic Infinite Lookback Attention for Simultaneous Machine Translation. CoRR Naveen Arivazhagan, Colin Cherry, Wolfgang Macherey, Chung-Cheng Chiu, Semih Yavuz, Ruoming Pang, Wei Li, Colin Raffel
2019	J	`jnl`	NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection. CoRR Golnaz Ghiasi, Tsung-Yi Lin, Ruoming Pang, Quoc V. Le
2019	A*	`conf`	Searching for MobileNetV3. ICCV Andrew Howard, Ruoming Pang, Hartwig Adam, Quoc V. Le, Mark Sandler, Bo Chen, Weijun Wang, Liang-Chieh Chen, Mingxing Tan, Grace Chu, Vijay Vasudevan, Yukun Zhu
2019	J	`jnl`	Searching for MobileNetV3. CoRR Andrew Howard, Mark Sandler, Grace Chu, Liang-Chieh Chen, Bo Chen, Mingxing Tan, Weijun Wang, Yukun Zhu, Ruoming Pang, Vijay Vasudevan, Quoc V. Le, Hartwig Adam
2019	Misc	`conf`	Semi-supervised Training for End-to-end Models via Weak Distillation. ICASSP Bo Li, Tara N. Sainath, Ruoming Pang, Zelin Wu
2019	A	`conf`	Shallow-Fusion End-to-End Contextual Biasing. INTERSPEECH Ding Zhao, Tara N. Sainath, David Rybach, Pat Rondon, Deepti Bhatia, Bo Li, Ruoming Pang
2019	Misc	`conf`	Streaming End-to-end Speech Recognition for Mobile Devices. ICASSP Yanzhang He, Tara N. Sainath, Rohit Prabhavalkar, Ian McGraw, Raziel Alvarez, Ding Zhao, David Rybach, Anjuli Kannan, Yonghui Wu, Ruoming Pang, Qiao Liang, Deepti Bhatia, Yuan Shangguan, Bo Li, Golan Pundak, Khe Chai Sim, Tom Bagby, Shuo-Yiin Chang, Kanishka Rao, Alexander Gruenstein
2019	A	`conf`	Two-Pass End-to-End Speech Recognition. INTERSPEECH Tara N. Sainath, Ruoming Pang, David Rybach, Yanzhang He, Rohit Prabhavalkar, Wei Li, Mirkó Visontai, Qiao Liang, Trevor Strohman, Yonghui Wu, Ian McGraw, Chung-Cheng Chiu
2019	J	`jnl`	Two-Pass End-to-End Speech Recognition. CoRR Tara N. Sainath, Ruoming Pang, David Rybach, Yanzhang He, Rohit Prabhavalkar, Wei Li, Mirkó Visontai, Qiao Liang, Trevor Strohman, Yonghui Wu, Ian McGraw, Chung-Cheng Chiu
2019	—	`conf`	Zanzibar: Google's Consistent, Global Authorization System. USENIX ATC Ruoming Pang, Ramón Cáceres, Mike Burrows, Zhifeng Chen, Pratik Dave, Nathan Germer, Alexander Golynski, Kevin Graney, Nina Kang, Lea Kissner, Jeffrey L. Korn, Abhishek Parmar, Christopher D. Richards, Mengzhi Wang
2018	A	`conf`	Compression of End-to-End Models. INTERSPEECH Ruoming Pang, Tara N. Sainath, Rohit Prabhavalkar, Suyog Gupta, Yonghui Wu, Shuyuan Zhang, Chung-Cheng Chiu
2018	J	`jnl`	Domain Adaptive Transfer Learning with Specialist Models. CoRR Jiquan Ngiam, Daiyi Peng, Vijay Vasudevan, Simon Kornblith, Quoc V. Le, Ruoming Pang
2018	J	`jnl`	Hierarchical Generative Modeling for Controllable Speech Synthesis. CoRR Wei-Ning Hsu, Yu Zhang, Ron J. Weiss, Heiga Zen, Yonghui Wu, Yuxuan Wang, Yuan Cao, Ye Jia, Zhifeng Chen, Jonathan Shen, Patrick Nguyen, Ruoming Pang
2018	J	`jnl`	MnasNet: Platform-Aware Neural Architecture Search for Mobile. CoRR Mingxing Tan, Bo Chen, Ruoming Pang, Vijay Vasudevan, Quoc V. Le
2018	Misc	`conf`	Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions. ICASSP Jonathan Shen, Ruoming Pang, Ron J. Weiss, Mike Schuster, Navdeep Jaitly, Zongheng Yang, Zhifeng Chen, Yu Zhang, Yuxuan Wang, R. J. Skerry-Ryan, Rif A. Saurous, Yannis Agiomyrgiannakis, Yonghui Wu
2018	J	`jnl`	Streaming End-to-end Speech Recognition For Mobile Devices. CoRR Yanzhang He, Tara N. Sainath, Rohit Prabhavalkar, Ian McGraw, Raziel Alvarez, Ding Zhao, David Rybach, Anjuli Kannan, Yonghui Wu, Ruoming Pang, Qiao Liang, Deepti Bhatia, Yuan Shangguan, Bo Li, Golan Pundak, Khe Chai Sim, Tom Bagby, Shuo-Yiin Chang, Kanishka Rao, Alexander Gruenstein
2018	A*	`conf`	Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis. NeurIPS Ye Jia, Yu Zhang, Ron J. Weiss, Quan Wang, Jonathan Shen, Fei Ren, Zhifeng Chen, Patrick Nguyen, Ruoming Pang, Ignacio López-Moreno, Yonghui Wu
2018	J	`jnl`	Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis. CoRR Ye Jia, Yu Zhang, Ron J. Weiss, Quan Wang, Jonathan Shen, Fei Ren, Zhifeng Chen, Patrick Nguyen, Ruoming Pang, Ignacio López-Moreno, Yonghui Wu
2017	J	`jnl`	Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions. CoRR Jonathan Shen, Ruoming Pang, Ron J. Weiss, Mike Schuster, Navdeep Jaitly, Zongheng Yang, Zhifeng Chen, Yu Zhang, Yuxuan Wang, R. J. Skerry-Ryan, Rif A. Saurous, Yannis Agiomyrgiannakis, Yonghui Wu
2006	—	`conf`	Rethinking Hardware Support for Network Analysis and Intrusion Prevention. HotSec Vern Paxson, Krste Asanovic, Sarang Dharmapurikar, John W. Lockwood, Ruoming Pang, Robin Sommer, Nicholas Weaver
2006	J	`jnl`	The devil and packet trace anonymization. Comput. Commun. Rev. Ruoming Pang, Mark Allman, Vern Paxson, Jason Lee
2006	A	`conf`	binpac: a yacc for writing application protocol parsers. Internet Measurement Conference Ruoming Pang, Vern Paxson, Robin Sommer, Larry L. Peterson
2005	A	`conf`	A First Look at Modern Enterprise Traffic. Internet Measurement Conference Ruoming Pang, Mark Allman, Mike Bennett, Jason Lee, Vern Paxson, Brian Tierney
2005	J	`jnl`	Part I: A Theory for Deadlock-Free Dynamic Network Reconfiguration. IEEE Trans. Parallel Distributed Syst. José Duato, Olav Lysne, Ruoming Pang, Timothy Mark Pinkston
2004	A	`conf`	Characteristics of internet background radiation. Internet Measurement Conference Ruoming Pang, Vinod Yegneswaran, Paul Barford, Vern Paxson, Larry L. Peterson
2004	—	`conf`	Reliability and Security in the CoDeeN Content Distribution Network. USENIX ATC, General Track Limin Wang, KyoungSoo Park, Ruoming Pang, Vivek S. Pai, Larry L. Peterson
2004	J	`jnl`	The dark side of the Web: an open proxy's view. Comput. Commun. Rev. Vivek S. Pai, Limin Wang, KyoungSoo Park, Ruoming Pang, Larry L. Peterson
2003	A*	`conf`	A high-level programming environment for packet trace anonymization and transformation. SIGCOMM Ruoming Pang, Vern Paxson
2003	J	`jnl`	Deadlock-Free Dynamic Reconfiguration Schemes for Increased Network Dependability. IEEE Trans. Parallel Distributed Syst. Timothy Mark Pinkston, Ruoming Pang, José Duato
2002	A*	`conf`	Defensive Programming: Using an Annotation Toolkit to Build DoS-Resistant Software. OSDI Xiaohu Qie, Ruoming Pang, Larry L. Peterson
2002	—	`conf`	Oblivious Hashing: A Stealthy Software Integrity Verification Primitive. Information Hiding Yuqun Chen, Ramarathnam Venkatesan, Matthew Cary, Ruoming Pang, Saurabh Sinha, Mariusz H. Jakubowski
2000	B	`conf`	The Double Scheme: Deadlock-Free Dynamic Reconfiguration of Cut-Through Networks. ICPP Ruoming Pang, Timothy Mark Pinkston, José Duato