| 2026 | ACL | Astra: Activation-Space Tail-Eigenvector Low-Rank Adaptation of Large Language Models. | Kainan Liu, Yong Zhang, Ning Cheng, Yun Zhu, Yanmeng Wang, Shaojun Wang, Jing Xiao |
| 2025 | ACL | Dynamic Attention-Guided Context Decoding for Mitigating Context Faithfulness Hallucinations in Large Language Models. | Huangyw Huangyw, Yong Zhang, Ning Cheng, Zhitao Li, Shaojun Wang, Jing Xiao |
| 2025 | ACL | ChatSOP: An SOP-Guided MCTS Planning Framework for Controllable LLM Dialogue Agents. | Zhigen Li, Jianxiang Peng, Yanmeng Wang, Yong Cao, Tianhao Shen, Minghui Zhang, Linxi Su, Shang Wu, Yihang Wu, Yuqian Wang, Ye Wang, Wei Hu, Jianfeng Li, Shaojun Wang, Jing Xiao, Deyi Xiong |
| 2025 | EMNLP | GRASP: Replace Redundant Layers with Adaptive Singular Parameters for Efficient Model Compression. | Kainan Liu, Yong Zhang, Ning Cheng, Zhitao Li, Shaojun Wang, Jing Xiao |
| 2025 | ICASSP | Improving Contextual ASR with Enhanced Phrase-Level Representation Based on MCTC Loss. | Ming Fang, Tao Wei, Kai Guo, Ziyang Zhuang, Yan Shi, Ning Cheng, Shaojun Wang, Jing Xiao |
| 2025 | ICASSP | Token-Level Contextual Network with Ladder-Shaped Attention for End-to-End ASR. | Ming Fang, Kai Guo, Tao Wei, Ziyang Zhuang, Yan Shi, Ning Cheng, Shaojun Wang, Jing Xiao |
| 2025 | ICASSP | LEF-TTS: Lightweight and Efficient End-to-End Text-to-Speech Synthesis With Multi-Stream Generator. | Yan Shi, Jin Shi, Minchuan Chen, Chenfeng Miao, Ming Fang, Ning Cheng, Shaojun Wang, Jing Xiao |
| 2025 | ICASSP | Self-Enhanced Reasoning Training: Activating Latent Reasoning in Small Models for Enhanced Reasoning Distillation. | Yong Zhang, Bingyuan Zhang, Zhitao Li, Ming Li, Ning Cheng, Minchuan Chen, Tao Wei, Jun Ma, Shaojun Wang, Jing Xiao |
| 2025 | ICASSP | EffectiveASR: A Single-Step Non-Autoregressive Mandarin Speech Recognition Architecture with High Accuracy and Inference Speed. | Ziyang Zhuang, Chenfeng Miao, Kun Zou, Ming Fang, Tao Wei, Zijian Li, Ning Cheng, Wei Hu, Shaojun Wang, Jing Xiao |
| 2025 | Interspeech | Enhancing Serialized Output Training for Multi-Talker ASR with Soft Monotonic Alignment and Utterance-level Timestamp. | Fengyun Tan, Tao Wei, Kun Zou, Ning Cheng, Shaojun Wang, Jing Xiao |
| 2025 | Interspeech | Towards Efficiently Whisper Fine-tuning with Monotonic Alignments. | Ziyang Zhuang, Tao Wei, Ming Fang, Ning Cheng, Shaojun Wang, Jing Xiao |
| 2025 | RECOMB | DualGOFiller: A Dual-Channel Graph Neural Network with Contrastive Learning for Enhancing Function Prediction in Partially Annotated Proteins. | Shaojun Wang, Hancheng Liu, Weiqi Zhai, Shanfeng Zhu |
| 2024 | ICASSP | ESVC: Combining Adaptive Style Fusion and Multi-Level Feature Disentanglement for Expressive Singing Voice Conversion. | Zeyu Yang, Minchuan Chen, Yanping Li, Wei Hu, Shaojun Wang, Jing Xiao, Zijian Li |
| 2024 | ICASSP | Improving Attention-Based End-to-End Speech Recognition by Monotonic Alignment Attention Matrix Reconstruction. | Ziyang Zhuang, Kun Zou, Chenfeng Miao, Ming Fang, Tao Wei, Zijian Li, Wei Hu, Shaojun Wang, Jing Xiao |
| 2024 | ICML | DFlow: A Generative Model Combining Denoising AutoEncoder and Normalizing Flow for High Fidelity Waveform Generation. | Chenfeng Miao, Qingying Zhu, Minchuan Chen, Wei Hu, Zijian Li, Shaojun Wang, Jing Xiao |
| 2024 | Interspeech | Improving Multilingual Text-to-Speech with Mixture-of-Language-Experts and Accent Disentanglement. | Jing Wu, Ting Chen, Minchuan Chen, Wei Hu, Shaojun Wang, Jing Xiao |
| 2024 | Interspeech | E-Paraformer: A Faster and Better Parallel Transformer for Non-autoregressive End-to-End Mandarin Speech Recognition. | Kun Zou, Fengyun Tan, Ziyang Zhuang, Chenfeng Miao, Tao Wei, Shaodan Zhai, Zijian Li, Wei Hu, Shaojun Wang, Jing Xiao |
| 2023 | Interspeech | Exploring multi-task learning and data augmentation in dementia detection with self-supervised pretrained models. | Minchuan Chen, Chenfeng Miao, Jun Ma, Shaojun Wang, Jing Xiao |
| 2023 | Interspeech | Improving End-to-End Modeling For Mandarin-English Code-Switching Using Lightweight Switch-Routing Mixture-of-Experts. | Fengyun Tan, Chaofeng Feng, Tao Wei, Shuai Gong, Jinqiang Leng, Wei Chu, Jun Ma, Shaojun Wang, Jing Xiao |
| 2023 | ICSE | Lejacon: A Lightweight and Efficient Approach to Java Confidential Computing on SGX. | Xinyuan Miao, Ziyi Lin, Shaojun Wang, Lei Yu, Sanhong Li, Zihan Wang, Pengbo Nie, Yuting Chen, Beijun Shen, He Jiang |
| 2022 | EMNLP | Learning to Adapt to Low-Resource Paraphrase Generation. | Zhigen Li, Yanmeng Wang, Rizhao Fan, Ye Wang, Jianfeng Li, Shaojun Wang |
| 2022 | Interspeech | A compact transformer-based GAN vocoder. | Chenfeng Miao, Ting Chen, Minchuan Chen, Jun Ma, Shaojun Wang, Jing Xiao |
| 2022 | Interspeech | Towards Efficiently Learning Monotonic Alignments for Attention-based End-to-End Speech Recognition. | Chenfeng Miao, Kun Zou, Ziyang Zhuang, Tao Wei, Jun Ma, Shaojun Wang, Jing Xiao |
| 2022 | Interspeech | FFM: A Frame Filtering Mechanism To Accelerate Inference Speed For Conformer In Speech Recognition. | Zongfeng Quan, Nick J. C. Wang, Wei Chu, Tao Wei, Shaojun Wang, Jing Xiao |
| 2022 | Interspeech | Adversarial Knowledge Distillation For Robust Spoken Language Understanding. | Ye Wang, Baishun Ling, Yanmeng Wang, Junhao Xue, Shaojun Wang, Jing Xiao |
| 2021 | ACL | PHMOSpell: Phonological and Morphological Knowledge Guided Chinese Spelling Check. | Li Huang, Junjie Li, Weiwei Jiang, Zhiyu Zhang, Minchuan Chen, Shaojun Wang, Jing Xiao |
| 2021 | AISTATS | Understanding Gradient Clipping In Incremental Gradient Methods. | Jiang Qian, Yuren Wu, Bojin Zhuang, Shaojun Wang, Jing Xiao |
| 2021 | EMNLP | Enhancing Dual-Encoders with Question and Answer Cross-Embeddings for Answer Retrieval. | Yanmeng Wang, Jun Bai, Ye Wang, Jianfei Zhang, Wenge Rong, Zongcheng Ji, Shaojun Wang, Jing Xiao |
| 2021 | ICASSP | SEQ-CPC : Sequential Contrastive Predictive Coding for Automatic Speech Recognition. | Yulong Chen, Jianping Zhao, Weiqi Wang, Ming Fang, Haimei Kang, Lu Wang, Tao Wei, Jun Ma, Shaojun Wang, Jing Xiao |
| 2021 | ICASSP | Improving Neural Text Normalization with Partial Parameter Generator and Pointer-Generator Network. | Weiwei Jiang, Junjie Li, Minchuan Chen, Jun Ma, Shaojun Wang, Jing Xiao |
| 2021 | ICASSP | Unsupervised Learning for Multi-Style Speech Synthesis with Limited Data. | Shuang Liang, Chenfeng Miao, Minchuan Chen, Jun Ma, Shaojun Wang, Jing Xiao |
| 2021 | ICASSP | Network Pruning Using Linear Dependency Analysis on Feature Maps. | Hao Pan, Zhongdi Chao, Jiang Qian, Bojin Zhuang, Shaojun Wang, Jing Xiao |
| 2021 | ICASSP | Improving Dialogue Response Generation Via Knowledge Graph Filter. | Yanmeng Wang, Ye Wang, Xingyu Lou, Wenge Rong, Zhenghong Hao, Shaojun Wang |
| 2021 | ICML | EfficientTTS: An Efficient and High-Quality Text-to-Speech Architecture. | Chenfeng Miao, Shuang Liang, Zhengchen Liu, Minchuan Chen, Jun Ma, Shaojun Wang, Jing Xiao |
| 2021 | Interspeech | Learning Speech Structure to Improve Time-Frequency Masks. | Suliang Bu, Yunxin Zhao, Shaojun Wang, Mei Han |
| 2021 | Interspeech | EfficientSing: A Chinese Singing Voice Synthesis System Using Duration-Free Acoustic Model and HiFi-GAN Vocoder. | Zhengchen Liu, Chenfeng Miao, Qingying Zhu, Minchuan Chen, Jun Ma, Shaojun Wang, Jing Xiao |
| 2021 | Interspeech | Improving Polyphone Disambiguation for Mandarin Chinese by Combining Mix-Pooling Strategy and Window-Based Attention. | Junjie Li, Zhiyu Zhang, Minchuan Chen, Jun Ma, Shaojun Wang, Jing Xiao |
| 2020 | AAAI | An Iterative Polishing Framework Based on Quality Aware Masked Language Model for Chinese Poetry Generation. | Liming Deng, Jie Wang, Hang-Ming Liang, Hui Chen, Zhiqiang Xie, Bojin Zhuang, Shaojun Wang, Jing Xiao |
| 2020 | ICASSP | Flow-TTS: A Non-Autoregressive Network for Text to Speech Based on Flow. | Chenfeng Miao, Shuang Liang, Minchuan Chen, Jun Ma, Shaojun Wang, Jing Xiao |
| 2020 | ICASSP | Learning Recurrent Neural Network Language Models With Context-Sensitive Label Smoothing for Automatic Speech Recognition. | Minguang Song, Yunxin Zhao, Shaojun Wang, Mei Han |
| 2020 | IJCAI | Generating Reasonable Legal Text through the Combination of Language Modeling and Question Answering. | Weijing Huang, Xianfeng Liao, Zhiqiang Xie, Jiang Qian, Bojin Zhuang, Shaojun Wang, Jing Xiao |
| 2020 | Interspeech | Nonparallel Emotional Speech Conversion Using VAE-GAN. | Yuexin Cao, Zhengchen Liu, Minchuan Chen, Jun Ma, Shaojun Wang, Jing Xiao |
| 2020 | Interspeech | Non-Parallel Voice Conversion with Fewer Labeled Data by Conditional Generative Adversarial Networks. | Minchuan Chen, Weijian Hou, Jun Ma, Shaojun Wang, Jing Xiao |
| 2020 | Interspeech | Improving Replay Detection System with Channel Consistency DenseNeXt for the ASVspoof 2019 Challenge. | Chao Zhang, Junjie Cheng, Yanmei Gu, Huacan Wang, Jun Ma, Shaojun Wang, Jing Xiao |
| 2020 | SIGdial | Contextualized Emotion Recognition in Conversation as Sequence Tagging. | Yan Wang, Jiayu Zhang, Jun Ma, Shaojun Wang, Jing Xiao |
| 2019 | AISTATS | Adversarial Discrete Sequence Generation without Explicit NeuralNetworks as Discriminators. | Zhongliang Li, Tian Xia, Xingyu Lou, Kaihe Xu, Shaojun Wang, Jing Xiao |
| 2019 | Interspeech | Cross-Lingual, Multi-Speaker Text-To-Speech Synthesis Using Neural Speaker Embedding. | Mengnan Chen, Minchuan Chen, Shuang Liang, Jun Ma, Lei Chen, Shaojun Wang, Jing Xiao |
| 2019 | PRICAI | Audio-Based Music Classification with DenseNet and Data Augmentation. | Wenhao Bian, Jie Wang, Bojin Zhuang, Jiankui Yang, Shaojun Wang, Jing Xiao |
| 2019 | PRICAI | Automatic Acrostic Couplet Generation with Three-Stage Neural Network Pipelines. | Haoshen Fan, Jie Wang, Bojin Zhuang, Shaojun Wang, Jing Xiao |
| 2019 | PRICAI | A Hierarchical Attention Based Seq2Seq Model for Chinese Lyrics Generation. | Haoshen Fan, Jie Wang, Bojin Zhuang, Shaojun Wang, Jing Xiao |
| 2019 | PRICAI | A Syllable-Structured, Contextually-Based Conditionally Generation of Chinese Lyrics. | Xu Lu, Jie Wang, Bojin Zhuang, Shaojun Wang, Jing Xiao |
| 2018 | AAAI | Slim Embedding Layers for Recurrent Neural Language Models. | Zhongliang Li, Raymond Kulhanek, Shaojun Wang, Yunxin Zhao, Shuang Wu |
| 2017 | ICASSP | Exploiting different word clusterings for class-based RNN language modeling in speech recognition. | Minguang Song, Yunxin Zhao, Shaojun Wang |
| 2016 | FPL | EURECA compilation: Automatic optimisation of cycle-reconfigurable circuits. | Xinyu Niu, Nicholas Ng, Tomofumi Yuki, Shaojun Wang, Nobuko Yoshida, Wayne Luk |
| 2015 | ICDM | A Multi-label Ensemble Method Based on Minimum Ranking Margin Maximization. | Shaodan Zhai, Chenyang Zhao, Tian Xia, Shaojun Wang |
| 2015 | IJCAI | A Direct Boosting Approach for Semi-supervised Classification. | Shaodan Zhai, Tian Xia, Zhongliang Li, Shaojun Wang |
| 2014 | KDD | A multi-class boosting method with direct optimization. | Shaodan Zhai, Tian Xia, Shaojun Wang |
| 2013 | EMNLP | A Corpus Level MIRA Tuning Strategy for Machine Translation. | Ming Tan, Tian Xia, Shaojun Wang, Bowen Zhou |
| 2013 | EMNLP | Improving Alignment of System Combination by Using Multi-objective Optimization. | Tian Xia, Zongcheng Ji, Shaodan Zhai, Yidong Chen, Qun Liu, Shaojun Wang |
| 2013 | KDD | Direct optimization of ranking measures for learning to rank models. | Ming Tan, Tian Xia, Lily Guo, Shaojun Wang |
| 2012 | ICWSM | Extracting Diverse Sentiment Expressions with Target-Dependent Polarity from Twitter. | Lu Chen, Wenbo Wang, Meenakshi Nagarajan, Shaojun Wang, Amit P. Sheth |
| 2011 | ACL | A Large Scale Distributed Syntactic, Semantic and Lexical Language Model for Machine Translation. | Ming Tan, Wenli Zhou, Lei Zheng, Shaojun Wang |
| 2009 | KDD | Information theoretic regularization for semi-supervised boosting. | Lei Zheng, Shaojun Wang, Yan Liu, Chi-Hoon Lee |
| 2008 | AAAI | Constrained Classification on Structured Data. | Chi-Hoon Lee, Matthew R. G. Brown, Russell Greiner, Shaojun Wang, Albert Murtha |
| 2008 | EKAW | Unsupervised Discovery of Compound Entities for Relationship Extraction. | Cartic Ramakrishnan, Pablo N. Mendes, Shaojun Wang, Amit P. Sheth |
| 2008 | ICML | Boosting with incomplete information. | Gholamreza Haffari, Yang Wang, Shaojun Wang, Greg Mori, Feng Jiao |
| 2008 | MICCAI | Segmenting Brain Tumors Using Pseudo-Conditional Random Fields. | Chi-Hoon Lee, Shaojun Wang, Albert Murtha, Matthew R. G. Brown, Russell Greiner |
| 2006 | ACL | Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling. | Feng Jiao, Shaojun Wang, Chi-Hoon Lee, Russell Greiner, Dale Schuurmans |
| 2006 | APSCC | Fuzzy Petri Net-Based Evaluation to the Process of ERP Implementation. | Shaojun Wang, Gang Wang, Guoan Gao |
| 2006 | AVSS | An Online Discriminative Approach to Background Subtraction. | Li Cheng, Shaojun Wang, Dale Schuurmans, Terry Caelli, S. V. N. Vishwanathan |
| 2006 | ICML | Using query-specific variance estimates to combine Bayesian classifiers. | Chi-Hoon Lee, Russell Greiner, Shaojun Wang |
| 2005 | ICML | Variational Bayesian image modelling. | Li Cheng, Feng Jiao, Dale Schuurmans, Shaojun Wang |
| 2005 | ICML | Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields. | Shaojun Wang, Shaomin Wang, Russell Greiner, Dale Schuurmans, Li Cheng |
| 2003 | AISTATS | Latent Maximum Entropy Approach for Semantic N-gram Language Modeling. | Shaojun Wang, Dale Schuurmans, Fuchun Peng |
| 2003 | ALT | Learning Continuous Latent Variable Models with Bregman Divergences. | Shaojun Wang, Dale Schuurmans |
| 2003 | EACL | Language Independent Authorship Attribution with Character Level N-Grams. | Fuchun Peng, Dale Schuurmans, Vlado Keselj, Shaojun Wang |
| 2003 | ICASSP | Semantic n-gram language modeling with the latent maximum entropy principle. | Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao |
| 2003 | ICML | Learning Mixture Models with the Latent Maximum Entropy Principle. | Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao |
| 2003 | NAACL | Language and Task Independent Text Categorization with Simple Language Models. | Fuchun Peng, Dale Schuurmans, Shaojun Wang |
| 2003 | UAI | Boltzmann Machine Learning with the Latent Maximum Entropy Principle. | Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao |
| 2002 | Interspeech | Predicting oral reading miscues. | Jack Mostow, Joseph Beck, S. Vanessa Winter, Shaojun Wang, Brian Tobin |
| 2001 | ICASSP | Recursive estimation of time-varying environments for robust speech recognition. | Yunxin Zhao, Shaojun Wang, Kuan-Chieh Yen |
| 2000 | ICASSP | On-line Bayesian speaker adaptation using tree-structured transformation and robust priors. | Shaojun Wang, Yunxin Zhao |
| 2000 | Interspeech | Optimal on-line Bayesian model selection for speaker adaptation. | Shaojun Wang, Yunxin Zhao |