Bing Xiang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
99
Venues
20
Active years
1999–2025
Best venue rank
A*
Where they publish
Papers
99 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | SIGIR | FinIR: The 2nd Workshop on Financial Information Retrieval in the Era of Generative AI. | Fengbin Zhu, Yunshan Ma, Fuli Feng, Chao Wang, Huanbo Luan, Guangnan Ye, Shuo Zhang, Dhagash Mehta, Pingping Chen, Bing Xiang, Tat-Seng Chua |
| 2024 | ACL | Lightweight reranking for language model generations. | Siddhartha Jain, Xiaofei Ma, Anoop Deoras, Bing Xiang |
| 2024 | ACL | Token Alignment via Character Matching for Subword Completion. | Ben Athiwaratkun, Shiqi Wang, Mingyue Shang, Yuchen Tian, Zijian Wang, Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Robert Kwiatkowski, Ramesh Nallapati, Parminder Bhatia, Bing Xiang |
| 2024 | COLING | CoCoMIC: Code Completion by Jointly Modeling In-file and Cross-file Context. | Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang |
| 2024 | ICLR | Code Representation Learning at Scale. | Dejiao Zhang, Wasi Uddin Ahmad, Ming Tan, Hantian Ding, Ramesh Nallapati, Dan Roth, Xiaofei Ma, Bing Xiang |
| 2024 | ICML | Bifurcated Attention for Single-Context Large-Batch Sampling. | Ben Athiwaratkun, Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Haifeng Qian, Hantian Ding, Qing Sun, Jun Wang, Jiacheng Guo, Liangfu Chen, Parminder Bhatia, Ramesh Nallapati, Sudipta Sengupta, Bing Xiang |
| 2024 | ISPA | Optimizing Response Time of Multi-factor Authentication Service in EV Charging System: A DRL-based Algorithm. | Bing Xiang, Tianlin Yang, Qingwen Han, Yao Li, Ting Yu, Yongsheng Zhao, Shuai Zhang, Xueming Zhao |
| 2023 | ACL | ReCode: Robustness Evaluation of Code Generation Models. | Shiqi Wang, Zheng Li, Haifeng Qian, Chenghao Yang, Zijian Wang, Mingyue Shang, Varun Kumar, Samson Tan, Baishakhi Ray, Parminder Bhatia, Ramesh Nallapati, Murali Krishna Ramanathan, Dan Roth, Bing Xiang |
| 2023 | ACL | A Static Evaluation of Code Completion by Large Language Models. | Hantian Ding, Varun Kumar, Yuchen Tian, Zijian Wang, Rob Kwiatkowski, Xiaopeng Li, Murali Krishna Ramanathan, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang |
| 2023 | ACL | Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge. | Xingyu Fu, Sheng Zhang, Gukyeong Kwon, Pramuditha Perera, Henghui Zhu, Yuhao Zhang, Alexander Hanbo Li, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Patrick Ng, Dan Roth, Bing Xiang |
| 2023 | ACL | RobustQA: Benchmarking the Robustness of Domain Adaptation for Open-Domain Question Answering. | Rujun Han, Peng Qi, Yuhao Zhang, Lan Liu, Juliette Burger, William Yang Wang, Zhiheng Huang, Bing Xiang, Dan Roth |
| 2023 | ACL | Importance of Synthesizing High-quality Data for Text-to-SQL Parsing. | Yiqun Hu, Yiyun Zhao, Jiarong Jiang, Wuwei Lan, Henghui Zhu, Anuj Chauhan, Alexander Hanbo Li, Lin Pan, Jun Wang, Chung-Wei Hang, Sheng Zhang, Jiang Guo, Mingwen Dong, Joseph Lilien, Patrick Ng, Zhiguo Wang, Vittorio Castelli, Bing Xiang |
| 2023 | ACL | ContraCLM: Contrastive Learning For Causal Language Model. | Nihal Jain, Dejiao Zhang, Wasi Uddin Ahmad, Zijian Wang, Feng Nan, Xiaopeng Li, Ming Tan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Xiaofei Ma, Bing Xiang |
| 2023 | ACL | Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning. | Alexander Hanbo Li, Mingyue Shang, Evangelia Spiliopoulou, Jie Ma, Patrick Ng, Zhiguo Wang, Bonan Min, William Yang Wang, Kathleen R. McKeown, Vittorio Castelli, Dan Roth, Bing Xiang |
| 2023 | ACL | Benchmarking Diverse-Modal Entity Linking with Generative Models. | Sijia Wang, Alexander Hanbo Li, Henghui Zhu, Sheng Zhang, Pramuditha Perera, Chung-Wei Hang, Jie Ma, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Bing Xiang, Patrick Ng |
| 2023 | ACL | Exploring Continual Learning for Code Generation Models. | Prateek Yadav, Qing Sun, Hantian Ding, Xiaopeng Li, Dejiao Zhang, Ming Tan, Parminder Bhatia, Xiaofei Ma, Ramesh Nallapati, Murali Krishna Ramanathan, Mohit Bansal, Bing Xiang |
| 2023 | ACL | Efficient Shapley Values Estimation by Amortization for Text Classification. | Chenghao Yang, Fan Yin, He He, Kai-Wei Chang, Xiaofei Ma, Bing Xiang |
| 2023 | ICLR | Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness. | Shuaichen Chang, Jun Wang, Mingwen Dong, Lin Pan, Henghui Zhu, Alexander Hanbo Li, Wuwei Lan, Sheng Zhang, Jiarong Jiang, Joseph Lilien, Steve Ash, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Patrick Ng, Bing Xiang |
| 2023 | ICLR | STREET: A Multi-Task Structured Reasoning and Explanation Benchmark. | Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Henghui Zhu, Rui Dong, Deguang Kong, Juliette Burger, Anjelica Ramos, Zhiheng Huang, William Yang Wang, George Karypis, Bing Xiang, Dan Roth |
| 2023 | ICLR | DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases. | Donghan Yu, Sheng Zhang, Patrick Ng, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Yiqun Hu, William Yang Wang, Zhiguo Wang, Bing Xiang |
| 2022 | AAAI | Generation-Focused Table-Based Intermediate Pre-training for Free-Form Question Answering. | Peng Shi, Patrick Ng, Feng Nan, Henghui Zhu, Jun Wang, Jiarong Jiang, Alexander Hanbo Li, Rishav Chakravarti, Donald Weidner, Bing Xiang, Zhiguo Wang |
| 2022 | ACL | DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization. | Zheng Li, Zijian Wang, Ming Tan, Ramesh Nallapati, Parminder Bhatia, Andrew O. Arnold, Bing Xiang, Dan Roth |
| 2022 | EMNLP | Improving Text-to-SQL Semantic Parsing with Fine-grained Query Understanding. | Jun Wang, Patrick Ng, Alexander Hanbo Li, Jiarong Jiang, Zhiguo Wang, Bing Xiang, Ramesh Nallapati, Sudipta Sengupta |
| 2022 | NAACL | Learning Dialogue Representations from Consecutive Utterances. | Zhihan Zhou, Dejiao Zhang, Wei Xiao, Nicholas Dingwall, Xiaofei Ma, Andrew O. Arnold, Bing Xiang |
| 2021 | AAAI | Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training. | Peng Shi, Patrick Ng, Zhiguo Wang, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Ccero Nogueira dos Santos, Bing Xiang |
| 2021 | ACL | Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction. | Yifan Gao, Henghui Zhu, Patrick Ng, Ccero Nogueira dos Santos, Zhiguo Wang, Feng Nan, Dejiao Zhang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang |
| 2021 | ACL | Dual Reader-Parser on Hybrid Textual and Tabular Evidence for Open Domain Question Answering. | Alexander Hanbo Li, Patrick Ng, Peng Xu, Henghui Zhu, Zhiguo Wang, Bing Xiang |
| 2021 | ACL | Improving Factual Consistency of Abstractive Summarization via Question Answering. | Feng Nan, Ccero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Kathleen R. McKeown, Ramesh Nallapati, Dejiao Zhang, Zhiguo Wang, Andrew O. Arnold, Bing Xiang |
| 2021 | EACL | Entity-level Factual Consistency of Abstractive Text Summarization. | Feng Nan, Ramesh Nallapati, Zhiguo Wang, Ccero Nogueira dos Santos, Henghui Zhu, Dejiao Zhang, Kathy McKeown, Bing Xiang |
| 2021 | EACL | Retrieval, Re-ranking and Multi-task Learning for Knowledge-Base Question Answering. | Zhiguo Wang, Patrick Ng, Ramesh Nallapati, Bing Xiang |
| 2021 | EMNLP | Generative Context Pair Selection for Multi-hop Question Answering. | Dheeru Dua, Ccero Nogueira dos Santos, Patrick Ng, Ben Athiwaratkun, Bing Xiang, Matt Gardner, Sameer Singh |
| 2021 | EMNLP | Contrastive Document Representation Learning with Graph Attention Networks. | Peng Xu, Xinchi Chen, Xiaofei Ma, Zhiheng Huang, Bing Xiang |
| 2021 | EMNLP | Pairwise Supervised Contrastive Learning of Sentence Representations. | Dejiao Zhang, Shang-Wen Li, Wei Xiao, Henghui Zhu, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang |
| 2021 | ICLR | Structured Prediction as Translation between Augmented Natural Languages. | Giovanni Paolini, Ben Athiwaratkun, Jason Krone, Jie Ma, Alessandro Achille, Rishita Anubhai, Ccero Nogueira dos Santos, Bing Xiang, Stefano Soatto |
| 2021 | NAACL | Supporting Clustering with Contrastive Learning. | Dejiao Zhang, Feng Nan, Xiaokai Wei, Shang-Wen Li, Henghui Zhu, Kathleen R. McKeown, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang |
| 2021 | WWW | Mixed-Curvature Multi-Relational Graph Neural Network for Knowledge Graph Completion. | Shen Wang, Xiaokai Wei, Ccero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang, Philip S. Yu, Isabel F. Cruz |
| 2020 | AAAI | Who Did They Respond to? Conversation Structure Modeling Using Masked Hierarchical Transformer. | Henghui Zhu, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang |
| 2020 | ACL | Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering. | Alexander R. Fabbri, Patrick Ng, Zhiguo Wang, Ramesh Nallapati, Bing Xiang |
| 2020 | EMNLP | Augmented Natural Language for Generative Sequence Labeling. | Ben Athiwaratkun, Ccero Nogueira dos Santos, Jason Krone, Bing Xiang |
| 2020 | EMNLP | Improve Transformer Models with Better Relative Position Embeddings. | Zhiheng Huang, Davis Liang, Peng Xu, Bing Xiang |
| 2020 | EMNLP | Beyond [CLS] through Ranking by Generation. | Ccero Nogueira dos Santos, Xiaofei Ma, Ramesh Nallapati, Zhiheng Huang, Bing Xiang |
| 2020 | EMNLP | End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems. | Siamak Shakeri, Ccero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang |
| 2020 | EMNLP | H2KGAT: Hierarchical Hyperbolic Knowledge Graph Attention Network. | Shen Wang, Xiaokai Wei, Ccero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang, Philip S. Yu |
| 2020 | EMNLP | Unsupervised Domain Adaptation for Cross-lingual Text Labeling. | Dejiao Zhang, Ramesh Nallapati, Henghui Zhu, Feng Nan, Ccero Nogueira dos Santos, Kathleen R. McKeown, Bing Xiang |
| 2020 | SIGMOD | Elastic Machine Learning Algorithms in Amazon SageMaker. | Edo Liberty, Zohar S. Karnin, Bing Xiang, Laurence Rouesnel, Baris Coskun, Ramesh Nallapati, Julio Delgado, Amir Sadoughi, Yury Astashonok, Piali Das, Can Balioglu, Saswata Chakravarty, Madhav Jha, Philip Gautier, David Arpin, Tim Januschowski, Valentin Flunkert, Yuyang Wang, Jan Gasthaus, Lorenzo Stella, Syama Sundar Rangapuram, David Salinas, Sebastian Schelter, Alex Smola |
| 2019 | ACL | Topic Modeling with Wasserstein Autoencoders. | Feng Nan, Ran Ding, Ramesh Nallapati, Bing Xiang |
| 2019 | CVPR | OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations. | Pramuditha Perera, Ramesh Nallapati, Bing Xiang |
| 2019 | EMNLP | Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering. | Zhiguo Wang, Patrick Ng, Xiaofei Ma, Ramesh Nallapati, Bing Xiang |
| 2018 | ACL | Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering. | Rui Zhang, Ccero Nogueira dos Santos, Michihiro Yasunaga, Bing Xiang, Dragomir R. Radev |
| 2018 | EMNLP | Coherence-Aware Neural Topic Modeling. | Ran Ding, Ramesh Nallapati, Bing Xiang |
| 2017 | AAAI | Neural Models for Sequence Chunking. | Feifei Zhai, Saloni Potdar, Bing Xiang, Bowen Zhou |
| 2017 | ACL | Group Sparse CNNs for Question Classification with Answer Sets. | Mingbo Ma, Liang Huang, Bing Xiang, Bowen Zhou |
| 2017 | ACL | Improved Neural Relation Detection for Knowledge Base Question Answering. | Mo Yu, Wenpeng Yin, Kazi Saidul Hasan, Ccero Nogueira dos Santos, Bing Xiang, Bowen Zhou |
| 2017 | ICDM | GaDei: On Scale-Up Training as a Service for Deep Learning. | Wei Zhang, Minwei Feng, Yunhui Zheng, Yufei Ren, Yandong Wang, Ji Liu, Peng Liu, Bing Xiang, Li Zhang, Bowen Zhou, Fei Wang |
| 2017 | ICLR | A Structured Self-Attentive Sentence Embedding. | Zhouhan Lin, Minwei Feng, Ccero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, Yoshua Bengio |
| 2017 | Interspeech | Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks. | Mingbo Ma, Kai Zhao, Liang Huang, Bing Xiang, Bowen Zhou |
| 2016 | ACL | Improved Representation Learning for Question Answer Matching. | Ming Tan, Ccero Nogueira dos Santos, Bing Xiang, Bowen Zhou |
| 2016 | CIKM | Distributed Deep Learning for Question Answering. | Minwei Feng, Bing Xiang, Bowen Zhou |
| 2016 | COLING | Simple Question Answering by Attentive Convolutional Neural Network. | Wenpeng Yin, Mo Yu, Bing Xiang, Bowen Zhou, Hinrich Schtze |
| 2016 | CoNLL | Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond. | Ramesh Nallapati, Bowen Zhou, Ccero Nogueira dos Santos, aglar Glehre, Bing Xiang |
| 2016 | EMNLP | Leveraging Sentence-level Information with Encoder LSTM for Semantic Slot Filling. | Gakuto Kurata, Bing Xiang, Bowen Zhou, Mo Yu |
| 2016 | Interspeech | Labeled Data Generation with Encoder-Decoder LSTM for Semantic Slot Filling. | Gakuto Kurata, Bing Xiang, Bowen Zhou |
| 2016 | NAACL | Improved Neural Network-based Multi-label Classification with Better Initialization Leveraging Label Co-occurrence. | Gakuto Kurata, Bing Xiang, Bowen Zhou |
| 2015 | ACL | Dependency-based Convolutional Neural Networks for Sentence Embedding. | Mingbo Ma, Liang Huang, Bowen Zhou, Bing Xiang |
| 2015 | ACL | Classifying Relations by Ranking with Convolutional Neural Networks. | Ccero Nogueira dos Santos, Bing Xiang, Bowen Zhou |
| 2015 | ASRU | Applying deep learning to answer selection: A study and an open task. | Minwei Feng, Bing Xiang, Michael R. Glass, Lidan Wang, Bowen Zhou |
| 2015 | EMNLP | Efficient Hyper-parameter Optimization for NLP Applications. | Lidan Wang, Minwei Feng, Bowen Zhou, Bing Xiang, Sridhar Mahadevan |
| 2014 | ACL | Improving Twitter Sentiment Analysis with Topic-Based Mixture Modeling and Semi-Supervised Training. | Bing Xiang, Liang Zhou |
| 2013 | ACL | Two-Neighbor Orientation Model with Cross-Boundary Global Contexts. | Hendra Setiawan, Bowen Zhou, Bing Xiang, Libin Shen |
| 2013 | ACL | Enlisting the Ghost: Modeling Empty Categories for Machine Translation. | Bing Xiang, Xiaoqiang Luo, Bowen Zhou |
| 2013 | EMNLP | Anchor Graph: Global Reordering Contexts for Statistical Machine Translation. | Hendra Setiawan, Bowen Zhou, Bing Xiang |
| 2011 | ACL | Discriminative Feature-Tied Mixture Modeling for Statistical Machine Translation. | Bing Xiang, Abraham Ittycheriah |
| 2011 | EMNLP | A Correction Model for Word Alignments. | J. Scott McCarley, Abraham Ittycheriah, Salim Roukos, Bing Xiang, Jian-Ming Xu |
| 2010 | ACL | Diversify and Combine: Improving Word Alignment for Machine Translation on Low-Resource Languages. | Bing Xiang, Yonggang Deng, Bowen Zhou |
| 2010 | COLING | Feature-Rich Discriminative Phrase Rescoring for SMT. | Fei Huang, Bing Xiang |
| 2009 | ASRU | Towards integrated machine translation using structural alignment from syntax-augmented synchronous parsing. | Bing Xiang, Bowen Zhou, Martin Cmejrek |
| 2009 | ICASSP | Advances in syntax-based Malay-English speech translation. | Bing Xiang, Bowen Zhou, Martin Cmejrek |
| 2009 | Interspeech | A study of bootstrapping with multiple acoustic features for improved automatic speech recognition. | Xiaodong Cui, Jian Xue, Bing Xiang, Bowen Zhou |
| 2008 | ICASSP | Developing high performance asr in the IBM multilingual speech-to-speech translation system. | Xiaodong Cui, Liang Gu, Bing Xiang, Wei Zhang, Yuqing Gao |
| 2008 | ICASSP | Unsupervised training for farsi-english speech-to-speech translation. | Bing Xiang, Yonggang Deng, Yuqing Gao |
| 2007 | ICASSP | Integrating Speech Recognition and Machine Translation. | Spyros Matsoukas, Ivan Bulyko, Bing Xiang, Kham Nguyen, Richard M. Schwartz, John Makhoul |
| 2007 | NAACL | Combining Outputs from Multiple Machine Translation Systems. | Antti-Veikko I. Rosti, Necip Fazil Ayan, Bing Xiang, Spyridon Matsoukas, Richard M. Schwartz, Bonnie J. Dorr |
| 2006 | ICASSP | Morphological Decomposition for Arabic Broadcast News Transcription. | Bing Xiang, Kham Nguyen, Long Nguyen, Richard M. Schwartz, John Makhoul |
| 2005 | ICASSP | Cluster-Dependent Acoustic Modeling. | Bing Xiang, Long Nguyen, Spyros Matsoukas, Richard M. Schwartz |
| 2005 | Interspeech | Recent progress in Arabic broadcast news transcription at BBN. | Mohamed Afify, Long Nguyen, Bing Xiang, Sherif M. Abdou, John Makhoul |
| 2005 | Interspeech | The effects of speech recognition and punctuation on information extraction performance. | John Makhoul, Alex Baron, Ivan Bulyko, Long Nguyen, Lance A. Ramshaw, David Stallard, Richard M. Schwartz, Bing Xiang |
| 2005 | Interspeech | The 2004 BBN 1xRT recognition systems for English broadcast news and conversational telephone speech. | Spyros Matsoukas, Rohit Prasad, Srinivas Laxminarayan, Bing Xiang, Long Nguyen, Richard M. Schwartz |
| 2005 | Interspeech | The BBN RT04 English broadcast news transcription system. | Long Nguyen, Bing Xiang, Mohamed Afify, Sherif M. Abdou, Spyros Matsoukas, Richard M. Schwartz, John Makhoul |
| 2005 | Interspeech | The BBN Mandarin broadcast news transcription system. | Bing Xiang, Long Nguyen, Xuefeng Guo, Dongxin Xu |
| 2004 | ICASSP | Light supervision in acoustic model training. | Long Nguyen, Bing Xiang |
| 2004 | ICASSP | Speech recognition in multiple languages and domains: the 2003 BBN/LIMSI EARS system. | Richard M. Schwartz, Thomas Colthurst, Nicolae Duta, Herbert Gish, Rukmini Iyer, Chia-Lin Kao, Daben Liu, Owen Kimball, Jeff Z. Ma, John Makhoul, Spyros Matsoukas, Long Nguyen, Mohammed Noamany, Rohit Prasad, Bing Xiang, Dongxin Xu, Jean-Luc Gauvain, Lori Lamel, Holger Schwenk, Gilles Adda, Langzhou Chen |
| 2003 | ICASSP | Using prosodic and conversational features for high-performance speaker recognition: report from JHU WS'02. | Barbara Peskin, Jir Navrtil, Joy S. Abramson, Douglas A. Jones, David Kluscek, Douglas A. Reynolds, Bing Xiang |
| 2003 | ICASSP | The SuperSID project: exploiting high-level information for high-accuracy speaker recognition. | Douglas A. Reynolds, Walter D. Andrews, Joseph P. Campbell, Jir Navrtil, Barbara Peskin, Andr Adami, Qin Jin, David Kluscek, Joy S. Abramson, Radu Mihaescu, John J. Godfrey, Douglas A. Jones, Bing Xiang |
| 2002 | ICASSP | Short-time Gaussianization for robust speaker verification. | Bing Xiang, Upendra V. Chaudhari, Jir Navrtil, Ganesh N. Ramaswamy, Ramesh A. Gopinath |
| 2002 | Interspeech | Speaker verification using Gaussian component strings in dynamic trajectory space. | Bing Xiang |
| 2002 | Interspeech | Structural Gaussian mixture models for efficient text-independent speaker verification. | Bing Xiang, Toby Berger |
| 2001 | ICASSP | Multiple mixture segmental HMM and its applications. | Bing Xiang, Toby Berger |
| 2000 | Interspeech | Multistage coarticulation model combining articulatory, formant and cepstral features. | Yuqing Gao, Raimo Bakis, Jing Huang, Bing Xiang |
| 1999 | IJCNN | Auditory model based speech feature extraction and its application to speaker identification. | Bing Xiang, Xihong Wu, Zhimin Liu, Huisheng Chi |