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Shaojun Wang
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2020 – today
- 2024
- [j27]Chenfeng Miao
, Qingying Zhu
EfficientTTS 2: Variational End-to-End Text-to-Speech Synthesis and Voice Conversion. IEEE ACM Trans. Audio Speech Lang. Process. 32: 1650-1661 (2024) - [j26]Mingyu Wu
Toward an SGX-Friendly Java Runtime. IEEE Trans. Computers 73(1): 44-57 (2024) - [c104]Ziyang Zhuang, Kun Zou, Chenfeng Miao, Ming Fang, Tao Wei, Zijian Li, Wei Hu, Shaojun Wang, Jing Xiao:
Improving Attention-Based End-to-End Speech Recognition by Monotonic Alignment Attention Matrix Reconstruction. ICASSP 2024: 10546-10550 - [c103]Zeyu Yang, Minchuan Chen, Yanping Li, Wei Hu, Shaojun Wang, Jing Xiao, Zijian Li:
ESVC: Combining Adaptive Style Fusion and Multi-Level Feature Disentanglement for Expressive Singing Voice Conversion. ICASSP 2024: 12161-12165 - [c102]Chenfeng Miao, Qingying Zhu, Minchuan Chen, Wei Hu, Zijian Li, Shaojun Wang, Jing Xiao:
DFlow: A Generative Model Combining Denoising AutoEncoder and Normalizing Flow for High Fidelity Waveform Generation. ICML 2024 - [i17]Ziyang Zhuang, Chenfeng Miao, Kun Zou, Shuai Gong, Ming Fang, Tao Wei, Zijian Li, Wei Hu, Shaojun Wang, Jing Xiao:
A Single-Step Non-Autoregressive Automatic Speech Recognition Architecture with High Accuracy and Inference Speed. CoRR abs/2406.08835 (2024) - [i16]Zhigen Li, Jianxiang Peng, Yanmeng Wang, Tianhao Shen, Minghui Zhang, Linxi Su, Shang Wu, Yihang Wu, Yuqian Wang, Ye Wang, Wei Hu, Jianfeng Li, Shaojun Wang, Jing Xiao, Deyi Xiong:
Planning with Large Language Models for Conversational Agents. CoRR abs/2407.03884 (2024) - 2023
- [j25]Shaojun Wang
NetGO 3.0: Protein Language Model Improves Large-scale Functional Annotations. Genom. Proteom. Bioinform. 21(2): 349-358 (2023) - [c101]Xinyuan Miao, Ziyi Lin, Shaojun Wang, Lei Yu, Sanhong Li, Zihan Wang, Pengbo Nie, Yuting Chen, Beijun Shen, He Jiang:
Lejacon: A Lightweight and Efficient Approach to Java Confidential Computing on SGX. ICSE 2023: 1648-1660 - [c100]Fengyun Tan, Chaofeng Feng, Tao Wei, Shuai Gong, Jinqiang Leng, Wei Chu, Jun Ma, Shaojun Wang, Jing Xiao:
Improving End-to-End Modeling For Mandarin-English Code-Switching Using Lightweight Switch-Routing Mixture-of-Experts. INTERSPEECH 2023: 4224-4228 - [c99]Minchuan Chen, Chenfeng Miao, Jun Ma, Shaojun Wang, Jing Xiao:
Exploring multi-task learning and data augmentation in dementia detection with self-supervised pretrained models. INTERSPEECH 2023: 5037-5041 - [c98]Jun Yu
Image- and Instance-Level Data Augmentation for Occluded Instance Segmentation. MMSports@MM 2023: 137-142 - [c97]Jun Yu, Renda Li, Renjie Lu, Leilei Wang, Shuoping Yang, Lei Wang, Minchuan Chen, Qingying Zhu, Shaojun Wang, Jing Xiao:
Exploring Loss Function and Rank Fusion for Enhanced Person Re-identification. MMSports@MM 2023: 143-150 - [c96]Jun Yu, Leilei Wang, Renjie Lu, Shuoping Yang, Renda Li, Lei Wang, Minchuan Chen, Qingying Zhu
Relative Boundary Modeling: A High-Resolution Cricket Bowl Release Detection Framework with I3D Features. MMSports@MM 2023: 151-159 - 2022
- [j24]Suliang Bu, Yunxin Zhao
Modeling Speech Structure to Improve T-F Masks for Speech Enhancement and Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2705-2715 (2022) - [j23]Dawei Pan
Transfer Learning-Based Hybrid Remaining Useful Life Prediction for Lithium-Ion Batteries Under Different Stresses. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [c95]Zhigen Li, Yanmeng Wang, Rizhao Fan, Ye Wang, Jianfeng Li, Shaojun Wang:
Learning to Adapt to Low-Resource Paraphrase Generation. EMNLP 2022: 1014-1022 - [c94]Chenfeng Miao, Kun Zou
Towards Efficiently Learning Monotonic Alignments for Attention-based End-to-End Speech Recognition. INTERSPEECH 2022: 1051-1055 - [c93]Chenfeng Miao, Ting Chen, Minchuan Chen, Jun Ma, Shaojun Wang, Jing Xiao:
A compact transformer-based GAN vocoder. INTERSPEECH 2022: 1636-1640 - [c92]Ye Wang, Baishun Ling, Yanmeng Wang, Junhao Xue, Shaojun Wang, Jing Xiao:
Adversarial Knowledge Distillation For Robust Spoken Language Understanding. INTERSPEECH 2022: 2708-2712 - [c91]Zongfeng Quan, Nick J. C. Wang, Wei Chu, Tao Wei, Shaojun Wang, Jing Xiao:
FFM: A Frame Filtering Mechanism To Accelerate Inference Speed For Conformer In Speech Recognition. INTERSPEECH 2022: 3153-3157 - [c90]Ye Wang, Yanmeng Wang, Baishun Ling, Zexiang Liao, Shaojun Wang, Jing Xiao:
PINGAN Omini-Sinitic at SemEval-2022 Task 4: Multi-prompt Training for Patronizing and Condescending Language Detection. SemEval@NAACL 2022: 313-318 - [i15]Nick J. C. Wang, Shaojun Wang, Jing Xiao:
A Study of Different Ways to Use The Conformer Model For Spoken Language Understanding. CoRR abs/2204.03879 (2022) - [i14]Nick J. C. Wang, Zongfeng Quan, Shaojun Wang, Jing Xiao:
Adding Connectionist Temporal Summarization into Conformer to Improve Its Decoder Efficiency For Speech Recognition. CoRR abs/2204.03889 (2022) - [i13]Yanmeng Wang, Jun Bai, Ye Wang, Jianfei Zhang, Wenge Rong, Zongcheng Ji, Shaojun Wang, Jing Xiao:
Enhancing Dual-Encoders with Question and Answer Cross-Embeddings for Answer Retrieval. CoRR abs/2206.02978 (2022) - 2021
- [j22]Shuwei Yao, Ronghui You, Shaojun Wang
NetGO 2.0: improving large-scale protein function prediction with massive sequence, text, domain, family and network information. Nucleic Acids Res. 49(Webserver-Issue): 469-475 (2021) - [c89]Li Huang, Junjie Li
PHMOSpell: Phonological and Morphological Knowledge Guided Chinese Spelling Check. ACL/IJCNLP (1) 2021: 5958-5967 - [c88]Jiang Qian, Yuren Wu, Bojin Zhuang, Shaojun Wang, Jing Xiao:
Understanding Gradient Clipping In Incremental Gradient Methods. AISTATS 2021: 1504-1512 - [c87]Yanmeng Wang, Jun Bai, Ye Wang, Jianfei Zhang, Wenge Rong, Zongcheng Ji, Shaojun Wang, Jing Xiao:
Enhancing Dual-Encoders with Question and Answer Cross-Embeddings for Answer Retrieval. EMNLP (Findings) 2021: 2306-2315 - [c86]Hao Pan, Zhongdi Chao, Jiang Qian, Bojin Zhuang, Shaojun Wang, Jing Xiao:
Network Pruning Using Linear Dependency Analysis on Feature Maps. ICASSP 2021: 1720-1724 - [c85]Yulong Chen, Jianping Zhao, Weiqi Wang, Ming Fang, Haimei Kang, Lu Wang, Tao Wei, Jun Ma, Shaojun Wang, Jing Xiao:
SEQ-CPC : Sequential Contrastive Predictive Coding for Automatic Speech Recognition. ICASSP 2021: 3880-3884 - [c84]Shuang Liang, Chenfeng Miao, Minchuan Chen, Jun Ma, Shaojun Wang, Jing Xiao:
Unsupervised Learning for Multi-Style Speech Synthesis with Limited Data. ICASSP 2021: 6583-6587 - [c83]Yanmeng Wang, Ye Wang, Xingyu Lou, Wenge Rong, Zhenghong Hao, Shaojun Wang:
Improving Dialogue Response Generation Via Knowledge Graph Filter. ICASSP 2021: 7423-7427 - [c82]Weiwei Jiang, Junjie Li
Improving Neural Text Normalization with Partial Parameter Generator and Pointer-Generator Network. ICASSP 2021: 7583-7587 - [c81]Chenfeng Miao, Shuang Liang, Zhengchen Liu, Minchuan Chen, Jun Ma, Shaojun Wang, Jing Xiao:
EfficientTTS: An Efficient and High-Quality Text-to-Speech Architecture. ICML 2021: 7700-7709 - [c80]Zhengchen Liu, Chenfeng Miao, Qingying Zhu, Minchuan Chen, Jun Ma, Shaojun Wang, Jing Xiao:
EfficientSing: A Chinese Singing Voice Synthesis System Using Duration-Free Acoustic Model and HiFi-GAN Vocoder. Interspeech 2021: 1609-1613 - [c79]Suliang Bu, Yunxin Zhao, Shaojun Wang, Mei Han:
Learning Speech Structure to Improve Time-Frequency Masks. Interspeech 2021: 2731-2735 - [c78]Junjie Li
Improving Polyphone Disambiguation for Mandarin Chinese by Combining Mix-Pooling Strategy and Window-Based Attention. Interspeech 2021: 4104-4108 - [c77]Tuo Zhao, Yunxin Zhao, Shaojun Wang, Mei Han:
UNet++-Based Multi-Channel Speech Dereverberation and Distant Speech Recognition. ISCSLP 2021: 1-5 - [c76]Ye Wang, Yanmeng Wang, Haijun Zhu, Bo Zeng, Zhenghong Hao, Shaojun Wang, Jing Xiao:
PINGAN Omini-Sinitic at SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning. SemEval@ACL/IJCNLP 2021: 820-826 - [c75]Minguang Song, Yunxin Zhao, Shaojun Wang, Mei Han:
Word Similarity Based Label Smoothing in Rnnlm Training for ASR. SLT 2021: 280-285 - 2020
- [c74]Liming Deng, Jie Wang, Hang-Ming Liang, Hui Chen, Zhiqiang Xie, Bojin Zhuang, Shaojun Wang, Jing Xiao:
An Iterative Polishing Framework Based on Quality Aware Masked Language Model for Chinese Poetry Generation. AAAI 2020: 7643-7650 - [c73]Minguang Song, Yunxin Zhao, Shaojun Wang, Mei Han:
Learning Recurrent Neural Network Language Models With Context-Sensitive Label Smoothing for Automatic Speech Recognition. ICASSP 2020: 6159-6163 - [c72]Chenfeng Miao, Shuang Liang, Minchuan Chen, Jun Ma, Shaojun Wang, Jing Xiao:
Flow-TTS: A Non-Autoregressive Network for Text to Speech Based on Flow. ICASSP 2020: 7209-7213 - [c71]Weijing Huang, Xianfeng Liao, Zhiqiang Xie, Jiang Qian, Bojin Zhuang, Shaojun Wang, Jing Xiao:
Generating Reasonable Legal Text through the Combination of Language Modeling and Question Answering. IJCAI 2020: 3687-3693 - [c70]Yuexin Cao, Zhengchen Liu, Minchuan Chen, Jun Ma, Shaojun Wang, Jing Xiao:
Nonparallel Emotional Speech Conversion Using VAE-GAN. INTERSPEECH 2020: 3406-3410 - [c69]Chao Zhang, Junjie Cheng, Yanmei Gu, Huacan Wang, Jun Ma, Shaojun Wang, Jing Xiao:
Improving Replay Detection System with Channel Consistency DenseNeXt for the ASVspoof 2019 Challenge. INTERSPEECH 2020: 4596-4600 - [c68]Minchuan Chen, Weijian Hou, Jun Ma, Shaojun Wang, Jing Xiao:
Non-Parallel Voice Conversion with Fewer Labeled Data by Conditional Generative Adversarial Networks. INTERSPEECH 2020: 4716-4720 - [c67]Yan Wang, Jiayu Zhang, Jun Ma, Shaojun Wang, Jing Xiao:
Contextualized Emotion Recognition in Conversation as Sequence Tagging. SIGdial 2020: 186-195 - [i12]Zan Shen, Jiang Qian, Bojin Zhuang, Shaojun Wang, Jing Xiao:
BS-NAS: Broadening-and-Shrinking One-Shot NAS with Searchable Numbers of Channels. CoRR abs/2003.09821 (2020) - [i11]Chenfeng Miao, Shuang Liang, Zhengchen Liu, Minchuan Chen, Jun Ma, Shaojun Wang, Jing Xiao:
EfficientTTS: An Efficient and High-Quality Text-to-Speech Architecture. CoRR abs/2012.03500 (2020)
2010 – 2019
- 2019
- [j21]Ning Ma
A Fast Recursive Collaboration Representation Anomaly Detector for Hyperspectral Image. IEEE Geosci. Remote. Sens. Lett. 16(4): 588-592 (2019) - [j20]Ning Ma
A Lightweight Hyperspectral Image Anomaly Detector for Real-Time Mission. Remote. Sens. 11(13): 1622 (2019) - [j19]Yongfu He, Yu Peng, Shaojun Wang
ADMOST: UAV Flight Data Anomaly Detection and Mitigation via Online Subspace Tracking. IEEE Trans. Instrum. Meas. 68(4): 1035-1044 (2019) - [c66]Zhongliang Li, Tian Xia, Xingyu Lou, Kaihe Xu, Shaojun Wang, Jing Xiao:
Adversarial Discrete Sequence Generation without Explicit NeuralNetworks as Discriminators. AISTATS 2019: 3089-3098 - [c65]Tian Xia, Xianfeng Rui, Chien-Lin Huang, Iek Heng Chu, Shaojun Wang, Mei Han:
An Attention Based Deep Neural Network for Automatic Lexical Stress Detection. GlobalSIP 2019: 1-5 - [c64]Weixin Zhang, Hong Lu, Mingtian Ma, Cong Kong, He Huang, Shaojun Wang:
The Manipulator Path Planning of Bolt Disassembly Based on Improved Genetic Algorithm and A* Algorithm. ICSAI 2019: 176-182 - [c63]Bowen Wang, Hong Lu, Peilin Li, Minghui Yang, Wan Wu, Zhuolin Ye, Shaojun Wang, Xinbao Zhang:
A Rotor Fault Diagnosis Method Depending on Local Mean Decomposition and Singular Value Entropy. ICSAI 2019: 1089-1094 - [c62]Mengnan Chen, Minchuan Chen, Shuang Liang, Jun Ma, Lei Chen, Shaojun Wang, Jing Xiao:
Cross-Lingual, Multi-Speaker Text-To-Speech Synthesis Using Neural Speaker Embedding. INTERSPEECH 2019: 2105-2109 - [c61]Wenhao Bian, Jie Wang, Bojin Zhuang, Jiankui Yang, Shaojun Wang, Jing Xiao:
Audio-Based Music Classification with DenseNet and Data Augmentation. PRICAI (3) 2019: 56-65 - [c60]Xu Lu, Jie Wang, Bojin Zhuang, Shaojun Wang, Jing Xiao:
A Syllable-Structured, Contextually-Based Conditionally Generation of Chinese Lyrics. PRICAI (3) 2019: 257-265 - [c59]Haoshen Fan, Jie Wang, Bojin Zhuang, Shaojun Wang, Jing Xiao:
A Hierarchical Attention Based Seq2Seq Model for Chinese Lyrics Generation. PRICAI (3) 2019: 279-288 - [c58]Haoshen Fan, Jie Wang, Bojin Zhuang, Shaojun Wang, Jing Xiao:
Automatic Acrostic Couplet Generation with Three-Stage Neural Network Pipelines. PRICAI (1) 2019: 314-324 - [c57]Ning Ma, Yu Peng, Shaojun Wang, Jingyi Dong:
A Novel Approach to Lighten the Onboard Hyperspectral Anomaly Detector. WISATS (2) 2019: 432-445 - [i10]Haoshen Fan, Jie Wang, Bojin Zhuang, Shaojun Wang, Jing Xiao:
A Hierarchical Attention Based Seq2seq Model for Chinese Lyrics Generation. CoRR abs/1906.06481 (2019) - [i9]Haoshen Fan, Jie Wang, Bojin Zhuang, Shaojun Wang, Jing Xiao:
Automatic Acrostic Couplet Generation with Three-Stage Neural Network Pipelines. CoRR abs/1906.09321 (2019) - [i8]Xu Lu, Jie Wang, Bojin Zhuang, Shaojun Wang, Jing Xiao:
A Syllable-Structured, Contextually-Based Conditionally Generation of Chinese Lyrics. CoRR abs/1906.09322 (2019) - [i7]Wenhao Bian, Jie Wang, Bojin Zhuang, Jiankui Yang, Shaojun Wang, Jing Xiao:
Audio-Based Music Classification with DenseNet And Data Augmentation. CoRR abs/1906.11620 (2019) - [i6]Tian Xia, Shaodan Zhai, Shaojun Wang:
Analysis of Regression Tree Fitting Algorithms in Learning to Rank. CoRR abs/1909.05965 (2019) - [i5]Tian Xia, Shaodan Zhai, Shaojun Wang:
Plackett-Luce model for learning-to-rank task. CoRR abs/1909.06722 (2019) - [i4]Tian Xia, Shaodan Zhai, Shaojun Wang:
A simple discriminative training method for machine translation with large-scale features. CoRR abs/1909.09491 (2019) - [i3]Liming Deng, Jie Wang, Hang-Ming Liang, Hui Chen, Zhiqiang Xie, Bojin Zhuang, Shaojun Wang, Jing Xiao:
An Iterative Polishing Framework based on Quality Aware Masked Language Model for Chinese Poetry Generation. CoRR abs/1911.13182 (2019) - 2018
- [j18]Ning Ma, Yu Peng, Shaojun Wang, Philip Heng Wai Leong
An Unsupervised Deep Hyperspectral Anomaly Detector. Sensors 18(3): 693 (2018) - [j17]Yongfu He, Yu Peng, Shaojun Wang
A Structured Sparse Subspace Learning Algorithm for Anomaly Detection in UAV Flight Data. IEEE Trans. Instrum. Meas. 67(1): 90-100 (2018) - [c56]Zhongliang Li, Raymond Kulhanek, Shaojun Wang, Yunxin Zhao, Shuang Wu:
Slim Embedding Layers for Recurrent Neural Language Models. AAAI 2018: 5220-5228 - [c55]Datong Liu, Zeyang Wang, Shaojun Wang, Yeyong Pang, Liansheng Liu:
UAV sensor data anomaly detection using predictor with uncertainty estimation and its acceleration on FPGA. I2MTC 2018: 1-6 - [c54]Ning Ma, Yu Peng, Shaojun Wang, Datong Liu:
Hyperspectral image anomaly targets detection with online deep learning. I2MTC 2018: 1-6 - [c53]Shizheng Fu, Hong Lu, Yifan Xu, Liu Bao, Shaojun Wang:
Research on Contour Error Control Based on Cross-coupled Structure. ICIA 2018: 150-154 - [c52]Minguang Song, Yunxin Zhao, Shaojun Wang:
Multi-Objective Multi-Task Learning on RNNLM for Speech Recognition. SLT 2018: 197-203 - 2017
- [j16]Liansheng Liu, Shaojun Wang, Datong Liu, Yu Peng:
Quantitative selection of sensor data based on improved permutation entropy for system remaining useful life prediction. Microelectron. Reliab. 75: 264-270 (2017) - [c51]Moucheng Yang, Jifang Jin, Zhehao Li, Xuegong Zhou, Shaojun Wang, Lingli Wang:
A scalable hybrid architecture for high performance data-parallel applications. FPT 2017: 191-194 - [c50]Minguang Song, Yunxin Zhao, Shaojun Wang:
Exploiting different word clusterings for class-based RNN language modeling in speech recognition. ICASSP 2017: 5735-5739 - [i2]Zhongliang Li, Raymond Kulhanek, Shaojun Wang, Yunxin Zhao, Shuang Wu:
Slim Embedding Layers for Recurrent Neural Language Models. CoRR abs/1711.09873 (2017) - 2016
- [j15]Ning Ma, Shaojun Wang, Datong Liu, Yu Peng:
A run-time built-in approach of TID test in SRAM based FPGAs. Microelectron. Reliab. 64: 42-47 (2016) - [j14]Yeyong Pang
A Microcoded Kernel Recursive Least Squares Processor Using FPGA Technology. ACM Trans. Reconfigurable Technol. Syst. 10(1): 5:1-5:22 (2016) - [c49]Shaojun Wang, Xinyu Niu, Ning Ma, Wayne Luk, Philip H. W. Leong
A Scalable Dataflow Accelerator for Real Time Onboard Hyperspectral Image Classification. ARC 2016: 105-116 - [c48]Wenlai Zhao, Haohuan Fu, Wayne Luk, Teng Yu, Shaojun Wang, Bo Feng, Yuchun Ma, Guangwen Yang:
F-CNN: An FPGA-based framework for training Convolutional Neural Networks. ASAP 2016: 107-114 - [c47]Xinyu Niu, Nicholas Ng, Tomofumi Yuki, Shaojun Wang, Nobuko Yoshida
EURECA compilation: Automatic optimisation of cycle-reconfigurable circuits. FPL 2016: 1-4 - [e1]Yuchen Song, Shaojun Wang, Brent Nelson, Junbao Li, Yu Peng:
2016 International Conference on Field-Programmable Technology, FPT 2016, Xi'an, China, December 7-9, 2016. IEEE 2016, ISBN 978-1-5090-5602-6 [contents] - 2015
- [j13]Liansheng Liu, Shaojun Wang, Datong Liu, Yujie Zhang, Yu Peng:
Entropy-based sensor selection for condition monitoring and prognostics of aircraft engine. Microelectron. Reliab. 55(9-10): 2092-2096 (2015) - [c46]Zhongliang Li, Shaodan Zhai, Tian Xia, Shaojun Wang:
A boosting method for direct AUC optimization. ChinaSIP 2015: 797-801 - [c45]Shaodan Zhai, Chenyang Zhao, Tian Xia, Shaojun Wang:
A Multi-label Ensemble Method Based on Minimum Ranking Margin Maximization. ICDM 2015: 1093-1098 - [c44]Shaodan Zhai, Tian Xia, Zhongliang Li, Shaojun Wang:
A Direct Boosting Approach for Semi-supervised Classification. IJCAI 2015: 4025-4032 - [c43]Tian Xia, Shaodan Zhai, Zhongliang Li, Shaojun Wang:
Une méthode discriminant formation simple pour la traduction automatique avec Grands Caractéristiques. TALN 2015: 1-6 - 2014
- [c42]Yongfu He, Shaojun Wang, Yu Peng, Yeyong Pang, Ning Ma, Jingyue Pang:
High performance relevance vector machine on HMPSoC. FPT 2014: 334-337 - [c41]Ning Ma, Shaojun Wang, Yeyong Pang, Yu Peng:
Implementation of LS-SVM with HLS on Zynq. FPT 2014: 346-349 - [c40]Shaodan Zhai, Tian Xia, Shaojun Wang:
A multi-class boosting method with direct optimization. KDD 2014: 273-282 - 2013
- [j12]Shaojun Wang, Shaomin Wang, Li Cheng
Exploiting Syntactic, Semantic, and Lexical Regularities in Language Modeling via Directed Markov Random Fields. Comput. Intell. 29(4): 649-679 (2013) - [j11]Shaojun Wang, Russell Greiner
Consistency and Generalization Bounds for Maximum Entropy Density Estimation. Entropy 15(12): 5439-5463 (2013) - [c39]Tian Xia, Zongcheng Ji, Shaodan Zhai, Yidong Chen, Qun Liu, Shaojun Wang:
Improving Alignment of System Combination by Using Multi-objective Optimization. EMNLP 2013: 535-544 - [c38]Ming Tan, Tian Xia, Shaojun Wang, Bowen Zhou:
A Corpus Level MIRA Tuning Strategy for Machine Translation. EMNLP 2013: 851-856 - [c37]Yeyong Pang, Shaojun Wang, Yu Peng, Nicholas J. Fraser, Philip Heng Wai Leong
A low latency kernel recursive least squares processor using FPGA technology. FPT 2013: 144-151 - [c36]Shaodan Zhai, Tian Xia, Ming Tan, Shaojun Wang:
A robust semi-supervised boosting method using linear programming. GlobalSIP 2013: 1101-1104 - [c35]Ming Tan, Tian Xia, Lily Guo, Shaojun Wang:
Direct optimization of ranking measures for learning to rank models. KDD 2013: 856-864 - [c34]Shaodan Zhai, Tian Xia, Ming Tan, Shaojun Wang:
Direct 0-1 Loss Minimization and Margin Maximization with Boosting. NIPS 2013: 872-880 - 2012
- [j10]Ming Tan, Wenli Zhou, Lei Zheng, Shaojun Wang:
A Scalable Distributed Syntactic, Semantic, and Lexical Language Model. Comput. Linguistics 38(3): 631-671 (2012) - [j9]Shaojun Wang, Dale Schuurmans, Yunxin Zhao:
The Latent Maximum Entropy Principle. ACM Trans. Knowl. Discov. Data 6(2): 8:1-8:42 (2012) - [c33]Lu Chen, Wenbo Wang, Meenakshi Nagarajan, Shaojun Wang, Amit P. Sheth:
Extracting Diverse Sentiment Expressions with Target-Dependent Polarity from Twitter. ICWSM 2012 - [i1]Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao:
Boltzmann Machine Learning with the Latent Maximum Entropy Principle. CoRR abs/1212.2514 (2012) - 2011
- [c32]Ming Tan, Wenli Zhou, Lei Zheng, Shaojun Wang:
A Large Scale Distributed Syntactic, Semantic and Lexical Language Model for Machine Translation. ACL 2011: 201-210 - [c31]Shaojun Wang, Yu Peng, Guangquan Zhao, Xiyuan Peng:
Accelerating on-line training of LS-SVM with run-time reconfiguration. FPT 2011: 1-6 - 2010
- [c30]Licheng Wang, Han Ding, Shaojun Wang:
Measurement Error Compensation Using Data Fusion Technique for Laser Scanner on AACMMs. ICIRA (2) 2010: 576-586
2000 – 2009
- 2009
- [c29]Lei Zheng, Shaojun Wang, Yan Liu, Chi-Hoon Lee:
Information theoretic regularization for semi-supervised boosting. KDD 2009: 1017-1026 - [c28]Yang Wang, Gholamreza Haffari, Shaojun Wang, Greg Mori:
A Rate Distortion Approach for Semi-Supervised Conditional Random Fields. NIPS 2009: 2008-2016 - [c27]Meenakshi Nagarajan, Kamal Baid, Amit P. Sheth, Shaojun Wang:
Monetizing User Activity on Social Networks - Challenges and Experiences. Web Intelligence 2009: 92-99 - 2008
- [c26]Chi-Hoon Lee, Matthew R. G. Brown, Russell Greiner, Shaojun Wang, Albert Murtha:
Constrained Classification on Structured Data. AAAI 2008: 1812-1813 - [c25]Cartic Ramakrishnan, Pablo N. Mendes
Unsupervised Discovery of Compound Entities for Relationship Extraction. EKAW 2008: 146-155 - [c24]Gholamreza Haffari, Yang Wang, Shaojun Wang, Greg Mori, Feng Jiao:
Boosting with incomplete information. ICML 2008: 368-375 - [c23]Chi-Hoon Lee, Shaojun Wang, Albert Murtha, Matthew R. G. Brown, Russell Greiner:
Segmenting Brain Tumors Using Pseudo-Conditional Random Fields. MICCAI (1) 2008: 359-366 - 2006
- [j8]Shaojun Wang, Bhaba R. Sarker:
Optimal models for a multi-stage supply chain system controlled by kanban under just-in-time philosophy. Eur. J. Oper. Res. 172(1): 179-200 (2006) - [c22]Feng Jiao, Shaojun Wang, Chi-Hoon Lee, Russell Greiner, Dale Schuurmans:
Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling. ACL 2006 - [c21]Shaojun Wang, Gang Wang, Guoan Gao:
Fuzzy Petri Net-Based Evaluation to the Process of ERP Implementation. APSCC 2006: 11-17 - [c20]Li Cheng, Shaojun Wang, Dale Schuurmans, Terry Caelli
An Online Discriminative Approach to Background Subtraction. AVSS 2006: 2 - [c19]Shaojun Wang, Shaomin Wang, Li Cheng
Stochastic Analysis of Lexical and Semantic Enhanced Structural Language Model. ICGI 2006: 97-111 - [c18]Chi-Hoon Lee, Russell Greiner, Shaojun Wang:
Using query-specific variance estimates to combine Bayesian classifiers. ICML 2006: 529-536 - [c17]Li Cheng, S. V. N. Vishwanathan, Dale Schuurmans, Shaojun Wang, Terry Caelli:
implicit Online Learning with Kernels. NIPS 2006: 249-256 - [c16]Chi-Hoon Lee, Shaojun Wang, Feng Jiao, Dale Schuurmans, Russell Greiner:
Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields. NIPS 2006: 793-800 - 2005
- [j7]Shaojun Wang, Bhaba R. Sarker:
An assembly-type supply chain system controlled by kanbans under a just-in-time delivery policy. Eur. J. Oper. Res. 162(1): 153-172 (2005) - [j6]Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao:
Combining Statistical Language Models via the Latent Maximum Entropy Principle. Mach. Learn. 60(1-3): 229-250 (2005) - [c15]Li Cheng
Variational Bayesian image modelling. ICML 2005: 129-136 - [c14]Shaojun Wang, Shaomin Wang, Russell Greiner, Dale Schuurmans, Li Cheng:
Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields. ICML 2005: 948-955 - 2004
- [j5]Shaojun Wang, Bhaba R. Sarker, Lawrence Mann, Evangelos Triantaphyllou
Resource planning and a depot location model for electric power restoration. Eur. J. Oper. Res. 155(1): 22-43 (2004) - [j4]Fuchun Peng, Dale Schuurmans, Shaojun Wang:
Augmenting Naive Bayes Classifiers with Statistical Language Models. Inf. Retr. 7(3-4): 317-345 (2004) - [j3]Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao:
Learning mixture models with the regularized latent maximum entropy principle. IEEE Trans. Neural Networks 15(4): 903-916 (2004) - [c13]Shaojun Wang, Shaomin Wang, Russell Greiner, Dale Schuurmans, Li Cheng:
Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields. ISCSLP 2004: 305-308 - 2003
- [c12]Shaojun Wang, Dale Schuurmans, Fuchun Peng:
Latent Maximum Entropy Approach for Semantic N-gram Language Modeling. AISTATS 2003: 316-322 - [c11]Shaojun Wang, Dale Schuurmans:
Learning Continuous Latent Variable Models with Bregman Divergences. ALT 2003: 190-204 - [c10]Fuchun Peng, Dale Schuurmans, Vlado Keselj, Shaojun Wang:
Language Independent Authorship Attribution with Character Level N-Grams. EACL 2003: 267-274 - [c9]Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao:
Semantic n-gram language modeling with the latent maximum entropy principle. ICASSP (1) 2003: 376-379 - [c8]Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao:
Learning Mixture Models with the Latent Maximum Entropy Principle. ICML 2003: 784-791 - [c7]Fuchun Peng, Xiangji Huang
Text classification in Asian languages without word segmentation. IRAL 2003: 41-48 - [c6]Fuchun Peng, Dale Schuurmans, Shaojun Wang:
Language and Task Independent Text Categorization with Simple Language Models. HLT-NAACL 2003 - [c5]Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao:
Boltzmann Machine Learning with the Latent Maximum Entropy Principle. UAI 2003: 567-574 - 2002
- [c4]Jack Mostow, Joseph Beck, S. Vanessa Winter, Shaojun Wang, Brian Tobin:
Predicting oral reading miscues. INTERSPEECH 2002: 1221-1224 - 2001
- [b1]Shaojun Wang:
Statistical Recursive Estimation Algorithms for Speaker Adaption. University of Illinois Urbana-Champaign, USA, 2001 - [j2]Shaojun Wang, Yunxin Zhao:
Online Bayesian tree-structured transformation of HMMs with optimal model selection for speaker adaptation. IEEE Trans. Speech Audio Process. 9(6): 663-677 (2001) - [c3]Yunxin Zhao, Shaojun Wang, Kuan-Chieh Yen:
Recursive estimation of time-varying environments for robust speech recognition. ICASSP 2001: 225-228 - 2000
- [j1]Bhaba R. Sarker, A. M. M. Jamal, Shaojun Wang:
Supply chain models for perishable products under inflation and permissible delay in payment. Comput. Oper. Res. 27(1): 59-75 (2000) - [c2]Shaojun Wang, Yunxin Zhao:
On-line Bayesian speaker adaptation using tree-structured transformation and robust priors. ICASSP 2000: 977-980 - [c1]Shaojun Wang, Yunxin Zhao:
Optimal on-line Bayesian model selection for speaker adaptation. INTERSPEECH 2000: 710-713
Coauthor Index
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