Weekly meeting
来自cslt Wiki
- Location: FIT-1-304
| Date | Speaker | Title | Materials | On duty |
|---|---|---|---|---|
| 2012/08/27 | Dong Wang | Heterogeneous Convolutive Non-negative Sparse Coding | slides paper | |
| 2012/09/03 | NO Meeting | |||
| 2012/09/10 | NO Meeting | |||
| 2012/09/17 | WALEED ABDULLA | Auditory Based Feature Vectors for Speech Recognition | slides | 范淼 |
| 2012/09/24 | 刘超 | N-gram FST indexing for Spoken Term Detection | slides | 尹聪 |
| 范淼 | Micro-blogging, Wikipedia, Folksonomy, What's Next? | slides | ||
| 2012/10/08 | NO Meeting | |||
| 2012/10/15 | NO Meeting | |||
| 2012/10/22 | Wu Xiaojun | speaker recognition in CSLT | slides | 卡尔 |
| 2012/10/29 | 王军 | An overview of Automatic Speaker Diarization Systems | slides | 别凡虎 |
| 2012/11/05 | 别凡虎 | Experiments on Emotional Speaker Recognition | slides | 刘超 |
| 2012/11/12 | 唐国瑜 | Statistical Word Sense Improves Document Clustering | slides | 邱晗 |
| 2012/11/19 | 张陈昊 | TDSR with Long-term Features Based on Functional Data Analysis | slides | 王俊俊 |
| 2012/11/26 | 王琳琳 | Time-Varying Speaker Recognition: An Introduction | slides | 龚宬 |
| 2012/12/03 | No meeting | |||
| 2012/12/10 | No meeting | |||
| 2012/12/17 | No meeting | |||
| 2012/01/07 | ||||
| 2012/01/07 | 王军 | 基于DF-MAP的说话人模型训练方法 | slides | 唐国瑜 |
| 2012/01/14 | 王东 | Computing in CSLT | slides | 王琳琳 |
| 2013/03/04 | 王军 | Sequential Adaptive Learning for Speaker Verification | slides | 别凡虎 |
| 2013/03/11 | Du Jinle | VAD stuff | ||
| 2013/03/18 | ||||
| 2013/03/25 | ||||
| 2013/04/01 | ||||
| 2013/04/08 | 张陈昊 | A Fishervoice based Feature Fusion Method for SUSR | slides | 谢仲达 |
| 2013/04/15 | 龚宬 | An Exploration on Influence Factors of VAD's Performance in Speaker Recognition | slides | |
| 2013/04/22 | 王俊俊 | Understanding the Query: THCIB and THUIS at NTCIR-10 Intent Task | slides | |
| 2013/04/29 | ||||
| 2013/05/06 | 别凡虎 | MLLR on Emotional Speaker Recognition | slides | |
| 2013/05/13 | 刘超 | The Use of Deep Neural Network for Speech Recognition | slides | |
| 2013/05/20 | ||||
| 2013/05/27 | 王琳琳 | 说话人识别中的时变鲁棒性问题研究 | slides | |
| 2013/06/03 | 王俊俊 | 汉语搜索结果聚类系统研究与实现 | slides | |
| 2013/06/10 | ||||
| 2013/06/17 | 范淼 | Relation Extraction | slides | |
| 2013/06/24 | 唐国瑜 | Incorporating Statistical Word Senses in Topic Model | slides | |
| 2013/07/01 | ||||
| 2013/07/08 | ||||
| 2013/07/15 | ||||
| 2013/09/09 | 王东 | Research Frontier in Speech Technology | slides | |
| 2013/09/16 | ||||
| 2013/09/23 | ||||
| 2013/09/30 | ||||
| 2013/10/07 | ||||
| 2013/10/14 | ||||
| 2013/10/21 | 范淼 | Transduction Classification with Matrix Completion （中文报告） | slides paper | 李蓝天 |
| 2013/10/28 | ||||
| 2013/11/04 | 王军 | 基于i-vector的intersession补偿及打分方法(综述) | slides | |
| 2013/11/11 | 张陈昊 | PLDA介绍及PLDA在说话人识别中的应用 | slides | 唐国瑜 |
| 2013/11/18 | 别凡虎 | i-vector理论介绍（讨论） | slides | 王军 |
| 2013/11/25 | 刘超 | Pruning Neural Networks By Optimal Brain Damage(综述) | slides | 范淼 |
| 2013/12/02 | 范淼 | Distant Supervision for Relation Extraction with Matrix Completion （英文报告） | slides | 李蓝天 |
| 2013/12/09 | Dong Wang | Introduction to the HMM-based speech synthesis | slides | |
| 2013/12/16 | 张陈昊 | 语音研究中的基元介绍 | slides | |
| 2013/12/23 | Dong Wang | Introduction to the HMM-based speech synthesis (2) | slides | |
| 2013/12/23 | ||||
| 2013/12/30 | 刘荣 | continuous space language model | slides | 刘超 |
| 2014/01/06 | ||||
| 2014/01/13 | ||||
| 2014/01/20 | ||||
| 2014/02/24 | ||||
| 2014/03/03 | ||||
| 2014/03/10 | 范淼 | Distant Supervision for Information Extraction (英文报告) | 李蓝天 | |
| 2014/03/17 | 唐国瑜 | Topic Models Incorporating Statistical Word Senses | slides | |
| 2014/03/24 | 孟祥涛 | Noisy training for Deep Neural Networks | ||
| 2014/03/31 | 范淼 | Translating Embeddings for Modeling Multi-relational Data （中文报告） | paper | 李蓝天 |
| 2014/04/07 | ||||
| 2014/04/14 | Wang Jun | I-vector and PLDA in depth | slides | |
| 2014/04/21 | 邱晗 | 汉语事件句式规范化处理 | slides | |
| 2014/04/28 | 唐国瑜 | Some papers in CICLing2014 | slides | 刘超 |
| 2014/05/05 | ||||
| 2014/05/12 | 卡尔 | paper introduction | slides | 邱晗 |
| 2014/05/19 | 邱晗 | 汉语事件句式CCG推导树重构 | slides | 卡尔 |
| Liu Chao | master proposal: sparse and deep neural networks | slides | ||
| Liu Chao | 2nd master proposal: sparse and deep neural networks | |||
| 2014/06/16 | 别凡虎 | Truncated Wave based VPR and Some Recent Work | slides | 别凡虎 |
| 2014/06/23 | 别凡虎 | Block-wise training for I-vector | slides | 别凡虎 |
| 2014/07/07 | 王军 | Discriminative Scoring for Speaker Recognition Based on I-vectors | slides | 王军 |
| 2014/09/01 | ||||
| 2014/09/09 | 别凡虎 | Reseach on Truncated Wave based VPR | slides | 别凡虎 |
| 2014/09/15 | ||||
| 2014/09/22 | Miao Fan | Large-scale Entity Relation Extraction based on Low-dimensional Representations (中文报告，博士开题) | slides | Lan TianLi |
| 2014/09/29 | ||||
| 2014/10/13 | Miao Fan | The Frontier of Knowledge Embedding （英文报告） | slides | Lan TianLi |
| 2014/10/20 | ||||
| 2014/10/27 | Li Yi | Phonemes, Features, and Syllables: Converting Onset and Rime Inventories to Consonants and Vowels | paper slides | |
| 2014/11/3 | 米吉提 | Automatic Speech Recognition of Agglutinative Language based on Lexicon Optimization | slides | |
| 2014/11/10 | ||||
| 2014/11/17 | Dong Wang | Highly restricted keyword spotting for Uyghur using sparse analysis | slides | |
| 2014/11/24 | ||||
| 2014/12/1 | ZhongDa Xie | Incorporating Fine-Grained Ontological Relations in Medical Document Ranking | slides | Lantian Li |
| 2014/12/8 | ||||
| 2014/12/15 | 唐国瑜 | 跨语言话题分析关键技术研究 | slides | |
| 2014/12/22 | ||||
| 2014/12/29 | Askar | Language Mismatch in Speaker Recognition System | slides | |
| 2015/1/5 | Lantian Li | Deep Neural Networks for Speaker Recognition | slides | |
| 2015/1/12 | ||||
| 2015/1/19 | Dong Wang | Machine Learning Paradigms for Speech Recognition | slides paper | |
| 2015/1/26 | Chen Guorong | Information Transmission and Distribution on Web | slides | |
| 2015/3/9 | Dong Wang | Joint Deep Learning | slides | |
| 2015/3/16 | Dongxu Zhang | Knowledge learning from text data and knowledge bases | slides | |
| 2015/4/13 | Xuewei Zhang | Lasso-based Reverberation Suppression In Automatic Speech Recognition | slides | |
| 2015/5/11 | Dong Wang | ASR and SID Research Frontier | slides | |
| 2015/11/23 | Zhiyuan Tang | CTC learning | slides | |
| 2015/11/30 | Mengyuan Zhao | CNN-based music removal | slides | |
| 2015/12/3 | Zhiyuan Tang | Networks of Memory | slides | |
| 2015/12/7 | Yiqiao Pan | Document Classification with Spherical Word Vectors | slides | |
| 2015/12/14 | Dong Wang | Transfer Learning for Speech and Language Processing | slides | |
| 2015/12/21 | Qixin Wang | Attention for poem generation | slides | |
| 2015/12/28 | Lantian Li | Max-margin metric learning for speaker recognition | slides | |
| 2016/1/4 | Zhiyong Zhang | Parallel training,MPE and natural gradient | slides | |
| 2016/1/18 | Dongxu Zhang | Memoryless Document Vector | slides | |
| 2016/3/14 | Zhiyuan Tang | Oral presentation for "vMF-SNE: Embedding for Spherical Data" | slides | |
| 2016/3/28 | Tianyi Luo | Review for Neural QA | slides | |
| 2016/4/11 | Rong Liu | Recommendation in Youku | slides | |
| 2016/5/09 | Miao Fan | Learning contextual embeddings of knowledge base with entity descriptions. | slides | |
| 2016/5/16 | Yang Wang | Research on conversation thread detection. | slides | |
| 2016/5/20 | Yang Wang & Maoning Wang | Research on portfolio selection. | slides1 slides2 | |
| 2016/5/20 | Zhiyuan Tang | ICASSP 2016 summary | slides | |
| 2016/5/23 | Dong Wang | graphical model and neural model | slides papers | |
| 2016/8/02 | Zhiyuan Tang | Visualizing, Measuring and Understanding Neural Networks: A Brief Survey | slides | |
| 2016/8/03 | Yang Wang | Neural networks and genetic programming for financial forecasting | slides | |
| 2016/11/05 | Yang Wang | Reinforcement Learning Models and Simulations | slides | |
| 2016/11/08 | April Pu | SOFTWARE DEVELIPMENT METHODOLOGIES | slides | |
| 2016/11/12 | Yang Wang | Generative Adversarial Nets | slides | |
| 2016/11/22 | Zhiyuan Tang | INTERSPEECH 2016 summary | slides | |
| 2016/11/30 | Dong Wang | Deep and sparse learning in speech and language: an overview | slides | |
| 2017/2/17 | Yang Wang | Review understanding deep learning requires rethinking generalization | slides | |
| 2017/6/5 | Dong Wang | Deep speech factorization | slides | |
| 2017/6/8 | Shiyue Zhang | Convolutional Sequence to Sequence Learning | slides | |
| 2017/6/12 | Shiyue Zhang | Memory-augmented Neural Machine Translation | slides | |
| 2017/6/21 | Shiyue Zhang | Attention Is All You Need | slides | |
| 2017/6/26 | Jiyuan Zhang | Chinese poem generation using neural model | slides | |
| 2017/6/21 | Miao Zhang | Speaker recognition on cough,laugh and wei | ||
| 2017/7/10 | Aodong Li | Enhanced Neural Machine Translation by Learning from Draft | slides | |
| 2017/7/17 | Lantian Li | Study on Speaker Recognition | slides | |
| 2018/12/6 | Xiuqi Jiang | Meta-Learning and Zero-Shot Learning | slides | |
| 2018/12/12 | Dan He | Tensor factorization neural net | slides | |
| 2018/12/26 | Dong Wang | Towards deep statistical speaker representation | slides | |
| 2019/01/04 | Dong Wang | Speech in NIPS 2017/2018 | slides | |
| 2019/07/17 | Dong Wang | Deep Feature Learning and Normalization for Speaker Recognition | slides | |
| 2019/08/19 | Sitong Cheng & Pengyuan Zhang | Periodic Report of Celebrity Video Data Collection. | slides | |
| 2019/08/19 | Dong Wang | Continuous Learning for Neural Nets | slides | |
| 2019/09/11 | Dong Wang | Language Recognition in ICASSP 2019 | slides | |
| 2019/09/11 | Sitong Cheng | Language Recognition in Interspeech 2019 | slides | |
| 2019/10/14 | Haoran Sun | Dimension Reduction | slides | |
| 2019/10/27 | Dong Wang | Back to Matrix | slides | |
| 2019/11/11 | Dong Wang | Helmholtz Machine & The ML criterion | slides | |
| 2019/12/02 | Jiawen Kang | Gan Laten Space Manipulation & Flow Application Papers | slides | |
| 2019/12/09 | Dong Wang | Style transfer and information factorization | slides | |
| 2019/12/16 | Zhiyuan Tang | Conditional Generative Flow | slides | |
| 2019/12/23 | Lantian Li | Deep Generative Model in Speaker Recognition | slides | |
| 2019/12/30 | Wenqiang Du | Cross-bandwidth Train | slides | |
| 2019/01/06 | Yunqi Cai | Do Deep Generative Models Know What They Don't Know ? | slides | |
| 2019/01/10 | Haoran Sun | Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design | slides | |
| 2020/01/13 | Ying Shi | Deep Generative Model Energy Based Model | slides | |
| 2020/02/10 | Dong Wang | Deep Generative Models for Discriminative Tasks | slides | |
| 2020/02/17 | Zhiyuan Tang | Unsupervised Learning of Disentangled Representations | slides | |
| 2020/02/24 | Lantian Li | Weakly- & Self-Supervised Learning | slides | |
| 2020/03/02 | Yunqi Cai | Deep Normalization for Speaker Vectors | slides | |
| 2020/03/09 | Ying Shi | Speech Enhancement base on Double Flow | slides | |
| 2020/03/16 | Dong Wang | Bayesian scoring and uncertainty manipulation | slides | |
| 2020/03/23 | Zhiyuan Tang | Classifier involves Energy Based Model | slides | |
| 2020/03/30 | Lantian Li | Bayesian scoring in speaker verification | slides | |
| 2020/04/06 | Yunqi Cai | Posterior Collapse | slides | |
| 2020/04/13 | Lantian Li | NDA in ASV | slides | |
| 2020/04/20 | Ying Shi | Speech_Enhancement_base_on_Flow | slides | |
| 2020/05/11 | Dong Wang | Real DNF | Slide | |
| 2020/05/26 | Sitong Cheng | ASR-Free Pronunciation Assessment | slides | |
| 2020/05/26 | Jiawen Kang | RobustMAML | slides | |
| 2020/05/26 | Jiawen Kang | Domain adaptation review | slides | |
| 2020/05/26 | Jiawen Kang | SOTA models for VPR | slides | |
| 2020/06/01 | Dong Wang | How MAML succeeded? | [1][2][3] | |
| 2020/06/09 | Zhiyuan Tang | Flow Wheels | slides | |
| 2020/06/15 | Lantian Li | Uncertainty Modeling and Inference | slides | |
| 2020/06/22 | Lantian Li | Gaussians in High Dimension | slides | |
| 2020/06/22 | Dong Wang | Self training for SE and ASR | slides | |
| 2020/06/29 | Ying Shi | Speech enhancement & separation | slides | |
| 2020/07/06 | Haolin Chen | Self-supervised Learning in Speech Processing | slides | |
| 2020/07/13 | Zhiyuan Tang | Exploding inverse in INN | slides | |
| 2020/07/20 | Lantian Li | Principle Solution for Enroll-Test Mismatch | slides | |
| 2020/08/17 | Dong Wang | Decoupled scoring | slides | |
| 2020/08/24 | Zhiyuan Tang | G & D Acoustic model | slides | |
| 2020/09/01 | Lantian Li | Decoupled NL | slides | |
| 2020/09/07 | Yunqi Cai | Deep generative model based Anomaly detection | slides | |
| 2020/09/14 | Dong Wang | How we factorize speech? | slides | |
| 2020/10/05 | Dong Wang | Remarks on DNF | slides | |
| 2020/10/12 | Dong Wang | Paper Reading: Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations | slides paper link | |
| 2020/10/19 | Haoran Sun | Informational Speech Factorization by Factorial Discriminative Normalization Flow | slides | |
| 2020/10/27 | Jiao Han | Experimental report mainly based on DNF models | slides | |
| 2020/11/02 | Lantian Li | INTERSPEECH 2020 (SRE) | slides | |
| 2020/11/09 | Yunqi Cai | Deep normalization_V1 | slides video | |
| 2020/11/16 | Yunqi Cai | Deep normalization_V2 | slides video | |
| 2020/11/17 | Di Wang | Statistics decomposition for NL Scoring | slides | |
| 2020/11/23 | Yunqi Cai | Deep normalization_V3 | slides video | |
| 2020/12/08 | Yunqi Cai | From materials science to perceptual intelligence | slides video | |
| 2020/12/08 | Dong Wang | From noise injection to Bayes PLDA | slides | |
| 2020/12/21 | Lantian Li | Speech in NIPS 2019/2020 | slides | |
| 2020/12/28 | Pengqi Li | Domain generalization via robust optimization | slides | |
| 2021/01/07 | Dong Wang | What we believe | slides | |
| 2021/01/14 | Dong Wang | Reparametric trick | slides | |
| 2021/02/01 | Dong Wang | Data augmentation as regularization | slides | |
| 2021/02/22 | Lantian Li | Ensemble and Distillation | paper slides | |
| 2021/03/08 | Dong Wang | HIERARCHICAL GENERATIVE MODELING FOR CONTROLLABLE SPEECH SYNTHESIS | paper slides | |
| 2021/03/15 | Dong Wang | 第三代人工智能 | paper slides | |
| 2021/03/22 | Chao Xing | Complexity neural net in speech enhancement | paper1paper2 paper3 | |
| 2021/03/29 | Ying Shi | Some methods about speech enhancement | slides | |
| 2021/04/05 | Jiyuan Zhang | 推理 & 知识推理调研 | slides | |
| 2021/04/12 | Zicheng Qiu | Some work on minorlingual speech recognition | ||
| 2021/04/19 | Shiyue Zhang | Text summarization | ||
| 2021/04/26 | Dong Wang | Paper reading: Metadata normalization | slides paper | |
| 2021/05/10 | Lantian Li | Explainable ML | slides | |
| 2021/05/17 | Jie Li | Tea cake Re-identification | slides | |
| 2021/05/24 | Dong Wang | Deep speech prior | slides | |
| 2021/06/28 | Haoran Sun | Information Bottleneck and Deep Learning | slides papers | |
| 2021/07/05 | Chen Chen | Speech Enhancement Overview | slides | |
| 2021/07/19 | JiaWen Kang | Diseaseof detection from speech signal | ||
| 2021/07/26 | 毛丽旦 | Characters of Uygher in learning Chinese | slides | |
| 2021/08/02 | ChaoXing | Multi-Modal Speech Interaction | ||
| 2021/08/16 | Dong Wang | Training Mutual Information | slides | |
| 2021/09/06 | Jie Li | Detection of object falling | ||
| 2021/09/13 | Zhiyuan Tang | Construction of Ke speech database | ||
| 2021/09/20 | Shiyue Zhang | Objective evaluation for text summarization | slides | |
| 2021/10/11 | Chao Xing | Speech MLP | ||
| 2021/10/18 | Haoran Sun | CycleFlow: PURIFY INFORMATION FACTORS BY CYCLE LOSS | slides | |
| 2021/10/25 | Lantian Li | Real Additive Margin Softmax for Speaker Verification | slides | |
| 2021/11/01 | Chao Xing | Knowedge-driven small foootprint backbone | ||
| 2021/11/08 | Xingliang Cheng | Anti-spoofing in Replay Attack | slides | |
| 2021/11/22 | Yunqi Cai | Autonomous Experimentation Systems For Materials Development | slides | |
| 2021/11/29 | Ying Shi | End-to-End kws | slides | |
| 2021/12/06 | Dong Wang | Things that Neural Nets Learn | slides | |
| 2021/12/13 | Xuewei Zhang | Research advances on Ali Speech Technology | slides | |
| 2021/12/20 | Yang Wang | Quantitative Finance | ||
| 2021/12/27 | 吾买尔江 | 基于子带互相关的非同步信号检测方法 | slides | |
| 2022/1/10 | Zhiyong Zhang | Advances on KWS/CMD | slides | |
| 2022/1/17 | Jiyuan Zhang | Advances on fake news | slides | |
| 2022/1/24 | Shi Yin | Additive neural net | ||
| 2022/2/19 | Tianyi Luo | Fairness on semi-supervised learning | ||
| 2022/3/07 | Chao Xing | 神经网络的异构推理 | slides | |
| 2022/3/14 | Lantian Li | C-P Map: A Novel Evaluation Toolkit for Speaker Verification | slides | |
| 2022/3/20 | Dong Wang | Factorization, Disentanglement, Self-supervised Learning and Data Augmentation | slides | |
| 2022/4/11 | Weida Liang | Enhanced Exemplar Autoencoder for Any-to-One VC | slides | |
| 2022/4/18 | Yong Qin | Audio Pattern Recognition | slides | |
| 2022/4/25 | Dong Wang | Interpreting speech models | slides | Additional materials[4][5][6][7] |
| 2022/5/16 | Lantian Li | Open-source, Robust, Explainable Speaker Recognition | slides | |
| 2022/5/23 | Ying Shi | ICASSP 2022: kws asr | slides | |
| 2022/7/4 | Dong Wang | Group learning | slides | |
| 2022/7/11 | Hui Wang | TTS evaluation | slides | |
| 2022/7/18 | Renmiao Chen | Audio-visual biometric identification | ||
| 2022/7/25 | Yong Qin | Emotion & Age detection | ||
| 2022/8/1 | Pengqi Li | Post-hoc Explanation Methods | slides | |
| 2022/9/26 | Dong Wang | Low Resource ASR | slides | |
| 2022/10/10 | Dong Wang | Speech on AAAI | slides | |
| 2022/11/28 | Yong Qin | Dysarthria Speech Processing | ||
| 2022/12/19 | Shiwan Zhao | GPT introduction | [8] | |
| 2023/1/2 | Guanyu Li/Senyan Li | Tibetan speech recognitoin and Kaldi 2 | ||
| 2023/1/9 | Dong Wang | Diffusion model | slides | |
| 2023/2/6 | Zhiyuan Tang | Desentanglement & sparsity | slides | |
| 2023/2/13 | Renmiao Chen | Prompt based XT"A" | slides | |
| 2023/3/20 | Xipin Wei | Multi-instrument music generation | ||
| 2023/3/27 | Yifan Wang, Jie Li | Tensor decomposition | slides | |
| 2023/4/3 | Jiaying Wang | Ordered Binary Speaker Embedding | slides | |
| 2023/4/10 | Pengqi Li | Visualizing data augmentation in deep speaker recognition | slides | |
| 2023/4/24 | Zicheng Qiu |
