| 2026 | ISCAS | Variable-Rate Learned Image Compression Using Parameter Efficient Fine-Tuning and Trainable Quantization Step-Size. | Ran Wang, Yongqiang Wang, Heming Sun, Jiro Katto |
| 2025 | VCIP | CGICM: CLIP-Guided Semantic Frequency Adaptation in Image Compression for Machines. | Yongqiang Wang, Feng Liang, Heming Sun, Jiro Katto |
| 2024 | ICASSP | Multilingual and Fully Non-Autoregressive ASR with Large Language Model Fusion: A Comprehensive Study. | W. Ronny Huang, Cyril Allauzen, Tongzhou Chen, Kilol Gupta, Ke Hu, James Qin, Yu Zhang, Yongqiang Wang, Shuo-Yiin Chang, Tara N. Sainath |
| 2024 | ICASSP | USM-SCD: Multilingual Speaker Change Detection Based on Large Pretrained Foundation Models. | Guanlong Zhao, Yongqiang Wang, Jason Pelecanos, Yu Zhang, Hank Liao, Yiling Huang, Han Lu, Quan Wang |
| 2024 | ICML | Locally Differentially Private Decentralized Stochastic Bilevel Optimization with Guaranteed Convergence Accuracy. | Ziqin Chen, Yongqiang Wang |
| 2024 | IGARSS | An Improved Registration Method for Radar Point Cloud in Weakly Structured Texture Scenes of Urban Environments. | Yongqiang Wang, Lihua Ni, Di Zhang, Qun Wan |
| 2023 | ICASSP | Accelerating RNN-T Training and Inference Using CTC Guidance. | Yongqiang Wang, Zhehuai Chen, Chengjian Zheng, Yu Zhang, Wei Han, Parisa Haghani |
| 2023 | IGARSS | One-Bit Direct-Position-Determination based on Time-Varying Quantization Thresholds. | Lihua Ni, Di Zhang, Yongqiang Wang, Ning Liu, Qun Wan |
| 2023 | IGARSS | An Improved Keypoint Detection Method for Radar Point Cloud Registration in Urban Environments. | Yongqiang Wang, Di Zhang, Lihua Ni, Qun Wan |
| 2022 | Interspeech | Unsupervised Data Selection via Discrete Speech Representation for ASR. | Zhiyun Lu, Yongqiang Wang, Yu Zhang, Wei Han, Zhehuai Chen, Parisa Haghani |
| 2021 | ICASSP | Streaming Simultaneous Speech Translation with Augmented Memory Transformer. | Xutai Ma, Yongqiang Wang, Mohammad Javad Dousti, Philipp Koehn, Juan Miguel Pino |
| 2021 | ICASSP | Emformer: Efficient Memory Transformer Based Acoustic Model for Low Latency Streaming Speech Recognition. | Yangyang Shi, Yongqiang Wang, Chunyang Wu, Ching-Feng Yeh, Julian Chan, Frank Zhang, Duc Le, Mike Seltzer |
| 2021 | ICASSP | Transformer in Action: A Comparative Study of Transformer-Based Acoustic Models for Large Scale Speech Recognition Applications. | Yongqiang Wang, Yangyang Shi, Frank Zhang, Chunyang Wu, Julian Chan, Ching-Feng Yeh, Alex Xiao |
| 2020 | ICASSP | Training ASR Models By Generation of Contextual Information. | Kritika Singh, Dmytro Okhonko, Jun Liu, Yongqiang Wang, Frank Zhang, Ross B. Girshick, Sergey Edunov, Fuchun Peng, Yatharth Saraf, Geoffrey Zweig, Abdelrahman Mohamed |
| 2020 | ICASSP | DEJA-VU: Double Feature Presentation and Iterated Loss in Deep Transformer Networks. | Andros Tjandra, Chunxi Liu, Frank Zhang, Xiaohui Zhang, Yongqiang Wang, Gabriel Synnaeve, Satoshi Nakamura, Geoffrey Zweig |
| 2020 | ICASSP | Transformer-Based Acoustic Modeling for Hybrid Speech Recognition. | Yongqiang Wang, Abdelrahman Mohamed, Duc Le, Chunxi Liu, Alex Xiao, Jay Mahadeokar, Hongzhao Huang, Andros Tjandra, Xiaohui Zhang, Frank Zhang, Christian Fuegen, Geoffrey Zweig, Michael L. Seltzer |
| 2020 | IJCNN | Spatio-Temporal Distributed Solar Irradiance and Temperature Forecasting. | Chirath Pathiravasam, Paranietharan Arunagirinathan, Iroshani Jayawardene, Ganesh K. Venayagamoorthy, Yongqiang Wang |
| 2020 | Interspeech | Weak-Attention Suppression for Transformer Based Speech Recognition. | Yangyang Shi, Yongqiang Wang, Chunyang Wu, Christian Fuegen, Frank Zhang, Duc Le, Ching-Feng Yeh, Michael L. Seltzer |
| 2020 | Interspeech | Streaming Transformer-Based Acoustic Models Using Self-Attention with Augmented Memory. | Chunyang Wu, Yongqiang Wang, Yangyang Shi, Ching-Feng Yeh, Frank Zhang |
| 2020 | Interspeech | Faster, Simpler and More Accurate Hybrid ASR Systems Using Wordpieces. | Frank Zhang, Yongqiang Wang, Xiaohui Zhang, Chunxi Liu, Yatharth Saraf, Geoffrey Zweig |
| 2019 | ICASSP | End-to-end Contextual Speech Recognition Using Class Language Models and a Token Passing Decoder. | Zhehuai Chen, Mahaveer Jain, Yongqiang Wang, Michael L. Seltzer, Christian Fuegen |
| 2019 | Interspeech | Joint Grapheme and Phoneme Embeddings for Contextual End-to-End ASR. | Zhehuai Chen, Mahaveer Jain, Yongqiang Wang, Michael L. Seltzer, Christian Fuegen |
| 2019 | SAC | Minimizing financial cost of scientific workflows under deadline constraints in multi-cloud environments. | Tianyu Gao, Chase Q. Wu, Aiqin Hou, Yongqiang Wang, Ruxia Li, Mingrui Xu |
| 2018 | CCGRID | Bandwidth Scheduling with Flexible Multi-paths in High-Performance Networks. | Xiaoyang Zhang, Chase Q. Wu, Liudong Zuo, Aiqin Hou, Yongqiang Wang |
| 2018 | ICASSP | Towards End-to-end Spoken Language Understanding. | Dmitriy Serdyuk, Yongqiang Wang, Christian Fuegen, Anuj Kumar, Baiyang Liu, Yoshua Bengio |
| 2018 | ISNCC | On a Dynamic Data Placement Strategy for Heterogeneous Hadoop Clusters. | Yang Liu, Chase Q. Wu, Meng Wang, Aiqin Hou, Yongqiang Wang |
| 2018 | ISPA | On Scheduling of High-Throughput Scientific Workflows under Budget Constraints in Multi-Cloud Environments. | Ruxia Li, Chase Q. Wu, Aiqin Hou, Yongqiang Wang, Tianyu Gao, Mingrui Xu |
| 2018 | IWCMC | Multi-Path Routing for Maximum Bandwidth with K Edge-Disjoint Paths. | Tao Wang, Chase Q. Wu, Yongqiang Wang, Aiqin Hou, Huiyan Cao |
| 2018 | WCNC | Resource-aware routing and scheduling in multi-radio multi-channel wireless mesh networks. | Zhanmao Cao, Chase Q. Wu, Mark L. Berry, Yongqiang Wang |
| 2018 | TrustCom | On MapReduce Scheduling in Hadoop Yarn on Heterogeneous Clusters. | Meng Wang, Chase Q. Wu, Huiyan Cao, Yang Liu, Yongqiang Wang, Aiqin Hou |
| 2017 | CCS | Secure and Privacy-Preserving Average Consensus. | Minghao Ruan, Muaz Ahmad, Yongqiang Wang |
| 2017 | GPC | Energy-Efficient Dynamic Consolidation of Virtual Machines in Big Data Centers. | Shuting Xu, Chase Qishi Wu, Aiqin Hou, Yongqiang Wang, Meng Wang |
| 2017 | HPCC | Periodic Scheduling of Profiling-Based Floating-Window Bandwidth Reservations for Scientific Collaboration. | Yongqiang Wang, Chase Q. Wu, Aiqin Hou |
| 2017 | ICCCN | Periodic Scheduling of Deadline-Constrained Variable Slot-Bandwidth Reservations for Scientific Collaboration. | Yongqiang Wang, Chase Q. Wu, Aiqin Hou |
| 2017 | KSEM | Collaborative Filtering Based on Pairwise User-Item Blocking Structure (PBCF): A General Framework and Its Implementation. | Fengjuan Zhang, Jianjun Wu, Jianzhao Qin, Xing Liu, Yongqiang Wang |
| 2016 | HPCC | Periodic Scheduling of Deadline-Constrained Bandwidth Reservations for Scientific Collaboration. | Yongqiang Wang, Chase Qishi Wu, Aiqin Hou |
| 2016 | ICASSP | Investigations on speaker adaptation of LSTM RNN models for speech recognition. | Chaojun Liu, Yongqiang Wang, Kshitiz Kumar, Yifan Gong |
| 2016 | ICASSP | Simplifying long short-term memory acoustic models for fast training and decoding. | Yajie Miao, Jinyu Li, Yongqiang Wang, Shi-Xiong Zhang, Yifan Gong |
| 2016 | Interspeech | Semi-Supervised Training in Deep Learning Acoustic Model. | Yan Huang, Yongqiang Wang, Yifan Gong |
| 2016 | IPCCC | Bandwidth scheduling with multiple variable node-disjoint paths in high-performance networks. | Aiqin Hou, Chase Q. Wu, Dingyi Fang, Yongqiang Wang, Meng Wang, Tao Wang, Xiaoyang Zhang |
| 2016 | LCN | On Periodic Scheduling of Bandwidth Reservations with Deadline Constraint for Big Data Transfer. | Yongqiang Wang, Chase Q. Wu, Aiqin Hou |
| 2016 | Qshine | Bandwidth Scheduling with Multiple Fixed Node-Disjoint Paths in High-Performance Networks. | Aiqin Hou, Chase Q. Wu, Dingyi Fang, Yongqiang Wang, Meng Wang |
| 2015 | ICASSP | Small-footprint high-performance deep neural network-based speech recognition using split-VQ. | Yongqiang Wang, Jinyu Li, Yifan Gong |
| 2015 | LCN | On periodic scheduling of fixed-slot bandwidth reservations for big data transfer. | Yongqiang Wang, Chase Q. Wu, Aiqin Hou, Wenyu Peng, Shuting Xu, Meng Shi |
| 2014 | ICASSP | Efficient lattice rescoring using recurrent neural network language models. | Xunying Liu, Yongqiang Wang, Xie Chen, Mark J. F. Gales, Philip C. Woodland |
| 2014 | ICPADS | A fully generalized over operator with applications to image composition in parallel visualization for big data science. | Dongliang Chu, Chase Qishi Wu, Zongmin Wang, Yongqiang Wang |
| 2014 | Interspeech | Efficient GPU-based training of recurrent neural network language models using spliced sentence bunch. | Xie Chen, Yongqiang Wang, Xunying Liu, Mark J. F. Gales, Philip C. Woodland |
| 2014 | Interspeech | Adaptation of deep neural network acoustic models using factorised i-vectors. | Penny Karanasou, Yongqiang Wang, Mark J. F. Gales, Philip C. Woodland |
| 2013 | ICASSP | An investigation of deep neural networks for noise robust speech recognition. | Michael L. Seltzer, Dong Yu, Yongqiang Wang |
| 2013 | ICASSP | Tandem system adaptation using multiple linear feature transforms. | Yongqiang Wang, Mark J. F. Gales |
| 2013 | Interspeech | An explicit independence constraint for factorised adaptation in speech recognition. | Yongqiang Wang, Mark J. F. Gales |
| 2012 | APWEB | Feature Based Informative Model for Discriminating Favorite Items from Unrated Ones. | Bing Cheng, Tianqi Chen, Diyi Yang, Weinan Zhang, Yongqiang Wang, Yong Yu |
| 2012 | APWEB | Learning to Recommend Based on Slope One Strategy. | Yongqiang Wang, Li'ang Yin, Bing Cheng, Yong Yu |
| 2012 | APWEB | Collaborative Filtering via Temporal Euclidean Embedding. | Li'ang Yin, Yongqiang Wang, Yong Yu |
| 2012 | Interspeech | Model-based approaches to adaptive training in reverberant environments. | Yongqiang Wang, Mark J. F. Gales |
| 2011 | ASRU | Improving reverberant VTS for hands-free robust speech recognition. | Yongqiang Wang, Mark J. F. Gales |
| 2011 | ICASSP | Speaker and noise factorisation on the AURORA4 task. | Yongqiang Wang, Mark J. F. Gales |
| 2010 | ADMA | Predicting Product Duration for Adaptive Advertisement. | Zhongqi Guo, Yongqiang Wang, Gui-Rong Xue, Yong Yu |
| 2010 | ICASSP | Sample-separation-margin based minimum classification error training of pattern classifiers with quadratic discriminant functions. | Yongqiang Wang, Qiang Huo |
| 2010 | ICFHR | A Study of Discriminative Training for HMM-Based Online Handwritten Chinese/Japanese Character Recognition. | Yongqiang Wang, Qiang Huo, Yu Shi |
| 2010 | ICPR | A Study of Designing Compact Recognizers of Handwritten Chinese Characters Using Multiple-Prototype Based Classifiers. | Yongqiang Wang, Qiang Huo |
| 2010 | WSC | Model-based Evolutionary Optimization. | Yongqiang Wang, Michael C. Fu, Steven I. Marcus |
| 2009 | ICDAR | Design Compact Recognizers of Handwritten Chinese Characters Using Precision Constrained Gaussian Models, Minimum Classification Error Training and Parameter Compression. | Yongqiang Wang, Qiang Huo |
| 2009 | ICNC | Load Distribution of Railway Tank Car in Fluid Sloshing. | Jimin Zhang, Yongqiang Wang, Jun Liu |
| 2009 | WSC | Sensitivity Analysis for Barrier Options. | Yongqiang Wang, Michael C. Fu, Steven I. Marcus |
| 2008 | ICPR | A study of semi-tied covariance modeling for online handwritten Chinese character recognition. | Yongqiang Wang, Qiang Huo |
| 2008 | ICPR | An ellipsoid constrained quadratic programming (ECQP) approach to MCE training of MQDF-based classifiers for handwriting recognition. | Yongqiang Wang, Peng Liu, Qiang Huo |
| 2008 | ISNN | Synthetic Fault Diagnosis Method of Power Transformer Based on Rough Set Theory and Bayesian Network. | Yongqiang Wang, Fangcheng Lu, Heming Li |
| 2005 | ICNC | Sequential Support Vector Machine Control of Nonlinear Systems via Lyapunov Function Derivative Estimation. | Zonghai Sun, Youxian Sun, Yongqiang Wang |
| 2005 | ISNN | Sequential Support Vector Machine Control of Nonlinear Systems by State Feedback. | Zonghai Sun, Youxian Sun, Xuhua Yang, Yongqiang Wang |