Weiran Wang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
62
Venues
18
Active years
2010–2026
Best venue rank
A*
Where they publish
Papers
62 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | RealRep: Generalized SDR-to-HDR Conversion via Attribute-Disentangled Representation Learning. | Li Xu, Siqi Wang, Kepeng Xu, Lin Zhang, Gang He, Weiran Wang, Yu-Wing Tai |
| 2026 | ACL | Graph of Trace: Visualizing Execution Traces of Scientific Agents. | Tianci Gao, Haoxuan Li, Jianhe Li, Tianxiang Zhao, Runze Shi, Weiran Wang, Zezhao Wu, Lu Mi |
| 2025 | AAAI | FactorGCL: A Hypergraph-Based Factor Model with Temporal Residual Contrastive Learning for Stock Returns Prediction. | Yitong Duan, Weiran Wang, Jian Li |
| 2025 | ASRU | A Neural Model for Contextual Biasing Score Learning and Filtering. | Wanting Huang, Weiran Wang |
| 2025 | CVPR | RivuletMLP: An MLP-based Architecture for Efficient Compressed Video Quality Enhancement. | Gang He, Weiran Wang, Guancheng Quan, Shihao Wang, Dajiang Zhou, Yunsong Li |
| 2025 | IMC | Fantastic Joules and Where to Find Them. Modeling and Optimizing Router Energy Demand. | Romain Jacob, Lukas Rllin, Jackie Lim, Jonathan Chung, Maurice Bhanzin, Weiran Wang, Andreas Hunziker, Theodor Moroianu, Seyedali Tabaeiaghdaei, Adrian Perrig, Laurent Vanbever |
| 2024 | ICASSP | USM-Lite: Quantization and Sparsity Aware Fine-Tuning for Speech Recognition with Universal Speech Models. | Shaojin Ding, David Qiu, David Rim, Yanzhang He, Oleg Rybakov, Bo Li, Rohit Prabhavalkar, Weiran Wang, Tara N. Sainath, Zhonglin Han, Jian Li, Amir Yazdanbakhsh, Shivani Agrawal |
| 2024 | ICASSP | Extreme Encoder Output Frame Rate Reduction: Improving Computational Latencies of Large End-to-End Models. | Rohit Prabhavalkar, Zhong Meng, Weiran Wang, Adam Stooke, Xingyu Cai, Yanzhang He, Arun Narayanan, Dongseong Hwang, Tara N. Sainath, Pedro J. Moreno |
| 2024 | ICASSP | Augmenting Conformers With Structured State-Space Sequence Models For Online Speech Recognition. | Haozhe Shan, Albert Gu, Zhong Meng, Weiran Wang, Krzysztof Choromanski, Tara N. Sainath |
| 2024 | Interspeech | On the Success and Limitations of Auxiliary Network Based Word-Level End-to-End Neural Speaker Diarization. | Yiling Huang, Weiran Wang, Guanlong Zhao, Hank Liao, Wei Xia, Quan Wang |
| 2024 | Interspeech | AdaRA: Adaptive Rank Allocation of Residual Adapters for Speech Foundation Model. | Zhouyuan Huo, Dongseong Hwang, Gan Song, Khe Chai Sim, Weiran Wang |
| 2024 | Interspeech | Text Injection for Neural Contextual Biasing. | Zhong Meng, Zelin Wu, Rohit Prabhavalkar, Cal Peyser, Weiran Wang, Nanxin Chen, Tara N. Sainath, Bhuvana Ramabhadran |
| 2024 | Interspeech | Contextual Biasing with the Knuth-Morris-Pratt Matching Algorithm. | Weiran Wang, Zelin Wu, Diamantino Caseiro, Tsendsuren Munkhdalai, Khe Chai Sim, Pat Rondon, Golan Pundak, Gan Song, Rohit Prabhavalkar, Zhong Meng, Ding Zhao, Tara Sainath, Yanzhang He, Pedro Moreno Mengibar |
| 2024 | NAACL | Massive End-to-end Speech Recognition Models with Time Reduction. | Weiran Wang, Rohit Prabhavalkar, Haozhe Shan, Zhong Meng, Dongseong Hwang, Qiujia Li, Khe Chai Sim, Bo Li, James Qin, Xingyu Cai, Adam Stooke, Chengjian Zheng, Yanzhang He, Tara N. Sainath, Pedro Moreno Mengibar |
| 2024 | NAACL | Deferred NAM: Low-latency Top-K Context Injection via Deferred Context Encoding for Non-Streaming ASR. | Zelin Wu, Gan Song, Christopher Li, Pat Rondon, Zhong Meng, Xavier Velez, Weiran Wang, Diamantino Caseiro, Golan Pundak, Tsendsuren Munkhdalai, Angad Chandorkar, Rohit Prabhavalkar |
| 2023 | ASRU | Efficient Cascaded Streaming ASR System Via Frame Rate Reduction. | Xingyu Cai, David Qiu, Shaojin Ding, Dongseong Hwang, Weiran Wang, Antoine Bruguier, Rohit Prabhavalkar, Tara N. Sainath, Yanzhang He |
| 2023 | ASRU | Contextual Spelling Correction with Large Language Models. | Gan Song, Zelin Wu, Golan Pundak, Angad Chandorkar, Kandarp Joshi, Xavier Velez, Diamantino Caseiro, Ben Haynor, Weiran Wang, Nikhil Siddhartha, Pat Rondon, Khe Chai Sim |
| 2023 | ICASSP | JEIT: Joint End-to-End Model and Internal Language Model Training for Speech Recognition. | Zhong Meng, Weiran Wang, Rohit Prabhavalkar, Tara N. Sainath, Tongzhou Chen, Ehsan Variani, Yu Zhang, Bo Li, Andrew Rosenberg, Bhuvana Ramabhadran |
| 2023 | ICASSP | Multi-Output RNN-T Joint Networks for Multi-Task Learning of ASR and Auxiliary Tasks. | Weiran Wang, Ding Zhao, Shaojin Ding, Hao Zhang, Shuo-Yiin Chang, David Rybach, Tara N. Sainath, Yanzhang He, Ian McGraw, Shankar Kumar |
| 2023 | Interspeech | Text Injection for Capitalization and Turn-Taking Prediction in Speech Models. | Shaan Bijwadia, Shuo-Yiin Chang, Weiran Wang, Zhong Meng, Hao Zhang |
| 2022 | CVPR | NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. | Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoglu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gao, Dengwen Zhou, Qian Ning, Jingzhu Tang, Han Huang, Yufei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang |
| 2022 | ICASSP | Improving The Latency And Quality Of Cascaded Encoders. | 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 | ICASSP | Deliberation of Streaming RNN-Transducer by Non-Autoregressive Decoding. | Weiran Wang, Ke Hu, Tara N. Sainath |
| 2022 | ICLR | Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability Perspective. | Qi Lyu, Xiao Fu, Weiran Wang, Songtao Lu |
| 2022 | INFOCOM | Lumos: towards Better Video Streaming QoE through Accurate Throughput Prediction. | Gerui Lv, Qinghua Wu, Weiran Wang, Zhenyu Li, Gaogang Xie |
| 2022 | Interspeech | A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes. | Shaojin Ding, Weiran Wang, Ding Zhao, Tara N. Sainath, Yanzhang He, Robert David, Rami Botros, Xin Wang, Rina Panigrahy, Qiao Liang, Dongseong Hwang, Ian McGraw, Rohit Prabhavalkar, Trevor Strohman |
| 2022 | Interspeech | Improving Deliberation by Text-Only and Semi-Supervised Training. | Ke Hu, Tara N. Sainath, Yanzhang He, Rohit Prabhavalkar, Trevor Strohman, Sepand Mavandadi, Weiran Wang |
| 2022 | Interspeech | Improving Rare Word Recognition with LM-aware MWER Training. | Weiran Wang, Tongzhou Chen, Tara N. Sainath, Ehsan Variani, Rohit Prabhavalkar, W. Ronny Huang, Bhuvana Ramabhadran, Neeraj Gaur, Sepand Mavandadi, Cal Peyser, Trevor Strohman, Yanzhang He, David Rybach |
| 2022 | Interspeech | Streaming Align-Refine for Non-autoregressive Deliberation. | Weiran Wang, Ke Hu, Tara N. Sainath |
| 2022 | MMM | Reconstructing 3D Contour Models of General Scenes from RGB-D Sequences. | Weiran Wang, Huijun Di, Lingxiao Song |
| 2022 | VR | High-Quality Surface-Based 3D Reconstruction Using 2.5D Maps. | Lingxiao Song, Xiao Yu, Huijun Di, Weiran Wang |
| 2021 | ICLR | Representation Learning for Sequence Data with Deep Autoencoding Predictive Components. | Junwen Bai, Weiran Wang, Yingbo Zhou, Caiming Xiong |
| 2021 | ISPA | Joint User Association and Resource Allocation for MmWave and THz Coexistence Networks. | Weiran Wang, Jing Wu, Ning Li, Ruiliang Song |
| 2020 | ICASSP | A Comparison of Pooling Methods on LSTM Models for Rare Acoustic Event Classification. | Chieh-Chi Kao, Ming Sun, Weiran Wang, Chao Wang |
| 2020 | ICASSP | Raw Waveform Based End-to-end Deep Convolutional Network for Spatial Localization of Multiple Acoustic Sources. | Harshavardhan Sundar, Weiran Wang, Ming Sun, Chao Wang |
| 2020 | ICASSP | Unsupervised Pre-Training of Bidirectional Speech Encoders via Masked Reconstruction. | Weiran Wang, Qingming Tang, Karen Livescu |
| 2020 | Interspeech | Semi-Supervised ASR by End-to-End Self-Training. | Yang Chen, Weiran Wang, Chao Wang |
| 2020 | Interspeech | An Investigation of Phone-Based Subword Units for End-to-End Speech Recognition. | Weiran Wang, Guangsen Wang, Aadyot Bhatnagar, Yingbo Zhou, Caiming Xiong, Richard Socher |
| 2020 | Interspeech | Acoustic Scene Analysis with Multi-Head Attention Networks. | Weimin Wang, Weiran Wang, Ming Sun, Chao Wang |
| 2019 | ACL | Multimodal and Multi-view Models for Emotion Recognition. | Gustavo Aguilar, Viktor Rozgic, Weiran Wang, Chao Wang |
| 2019 | ALT | Stochastic Nonconvex Optimization with Large Minibatches. | Weiran Wang, Nathan Srebro |
| 2019 | ISKE | The Faster Detection and Recognition of Traffic Signs Based on CNN. | Jingyu Wang, Weiran Wang, Anliang Zhou |
| 2018 | ALT | Efficient coordinate-wise leading eigenvector computation. | Jialei Wang, Weiran Wang, Dan Garber, Nathan Srebro |
| 2018 | ICASSP | Acoustic Feature Learning Using Cross-Domain Articulatory Measurements. | Qingming Tang, Weiran Wang, Karen Livescu |
| 2018 | Interspeech | R-CRNN: Region-based Convolutional Recurrent Neural Network for Audio Event Detection. | Chieh-Chi Kao, Weiran Wang, Ming Sun, Chao Wang |
| 2018 | Interspeech | A Simple Model for Detection of Rare Sound Events. | Weiran Wang, Chieh-Chi Kao, Chao Wang |
| 2017 | COLT | Memory and Communication Efficient Distributed Stochastic Optimization with Minibatch Prox. | Jialei Wang, Weiran Wang, Nathan Srebro |
| 2017 | ICLR | Multi-view Recurrent Neural Acoustic Word Embeddings. | Wanjia He, Weiran Wang, Karen Livescu |
| 2017 | Interspeech | Acoustic Feature Learning via Deep Variational Canonical Correlation Analysis. | Qingming Tang, Weiran Wang, Karen Livescu |
| 2016 | ICASSP | Signer-independent fingerspelling recognition with deep neural network adaptation. | Taehwan Kim, Weiran Wang, Hao Tang, Karen Livescu |
| 2016 | ICASSP | Deep convolutional acoustic word embeddings using word-pair side information. | Herman Kamper, Weiran Wang, Karen Livescu |
| 2016 | ICML | Nonparametric Canonical Correlation Analysis. | Tomer Michaeli, Weiran Wang, Karen Livescu |
| 2016 | Interspeech | Efficient Segmental Cascades for Speech Recognition. | Hao Tang, Weiran Wang, Kevin Gimpel, Karen Livescu |
| 2016 | Interspeech | Triphone State-Tying via Deep Canonical Correlation Analysis. | Weiran Wang, Hao Tang, Karen Livescu |
| 2015 | ASRU | Discriminative segmental cascades for feature-rich phone recognition. | Hao Tang, Weiran Wang, Kevin Gimpel, Karen Livescu |
| 2015 | ICASSP | Unsupervised learning of acoustic features via deep canonical correlation analysis. | Weiran Wang, Raman Arora, Karen Livescu, Jeff A. Bilmes |
| 2015 | ICML | On Deep Multi-View Representation Learning. | Weiran Wang, Raman Arora, Karen Livescu, Jeff A. Bilmes |
| 2015 | NAACL | Deep Multilingual Correlation for Improved Word Embeddings. | Ang Lu, Weiran Wang, Mohit Bansal, Kevin Gimpel, Karen Livescu |
| 2014 | AAAI | LASS: A Simple Assignment Model with Laplacian Smoothing. | Miguel . Carreira-Perpin, Weiran Wang |
| 2014 | AAAI | The Role of Dimensionality Reduction in Classification. | Weiran Wang, Miguel . Carreira-Perpin |
| 2014 | AISTATS | Distributed optimization of deeply nested systems. | Miguel . Carreira-Perpin, Weiran Wang |
| 2010 | CVPR | Manifold blurring mean shift algorithms for manifold denoising. | Weiran Wang, Miguel . Carreira-Perpin |