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2020 – today
- 2024
[c103]Siddhartha Jain, Xiaofei Ma, Anoop Deoras, Bing Xiang:
Lightweight reranking for language model generations. ACL (1) 2024: 6960-6984- [c102]Ben Athiwaratkun, Shiqi Wang, Mingyue Shang, Yuchen Tian, Zijian Wang, Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Robert Kwiatkowski, Ramesh Nallapati, Parminder Bhatia, Bing Xiang:
Token Alignment via Character Matching for Subword Completion. ACL (Findings) 2024: 15725-15738 - [c101]Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang:
CoCoMIC: Code Completion by Jointly Modeling In-file and Cross-file Context. LREC/COLING 2024: 3433-3445 - [c100]Dejiao Zhang, Wasi Uddin Ahmad, Ming Tan, Hantian Ding, Ramesh Nallapati, Dan Roth, Xiaofei Ma, Bing Xiang:
Code Representation Learning at Scale. ICLR 2024 - [c99]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:
Bifurcated Attention for Single-Context Large-Batch Sampling. ICML 2024 - [i73]Dejiao Zhang, Wasi Uddin Ahmad, Ming Tan, Hantian Ding, Ramesh Nallapati, Dan Roth, Xiaofei Ma, Bing Xiang:
Code Representation Learning At Scale. CoRR abs/2402.01935 (2024) - [i72]Ben Athiwaratkun, Shiqi Wang, Mingyue Shang, Yuchen Tian, Zijian Wang, Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Rob Kwiatkowski, Ramesh Nallapati, Bing Xiang:
Token Alignment via Character Matching for Subword Completion. CoRR abs/2403.08688 (2024) - [i71]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:
Bifurcated Attention for Single-Context Large-Batch Sampling. CoRR abs/2403.08845 (2024) - 2023
- [j6]Xiaohong Dong, Bing Xiang:
Data Mining Analysis for Improving Decision-Making in Computer Management Information Systems. Scalable Comput. Pract. Exp. 24(4): 673-685 (2023) - [c98]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:
Exploring Continual Learning for Code Generation Models. ACL (2) 2023: 782-792 - [c97]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:
Importance of Synthesizing High-quality Data for Text-to-SQL Parsing. ACL (Findings) 2023: 1327-1343 - [c96]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:
Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge. ACL (Findings) 2023: 2333-2346 - [c95]Rujun Han, Peng Qi, Yuhao Zhang, Lan Liu, Juliette Burger, William Yang Wang, Zhiheng Huang, Bing Xiang, Dan Roth:
RobustQA: Benchmarking the Robustness of Domain Adaptation for Open-Domain Question Answering. ACL (Findings) 2023: 4294-4311 - [c94]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:
ContraCLM: Contrastive Learning For Causal Language Model. ACL (1) 2023: 6436-6459 - [c93]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:
Benchmarking Diverse-Modal Entity Linking with Generative Models. ACL (Findings) 2023: 7841-7857 - [c92]Chenghao Yang, Fan Yin, He He, Kai-Wei Chang, Xiaofei Ma, Bing Xiang:
Efficient Shapley Values Estimation by Amortization for Text Classification. ACL (1) 2023: 8666-8680 - [c91]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:
ReCode: Robustness Evaluation of Code Generation Models. ACL (1) 2023: 13818-13843 - [c90]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:
Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning. ACL (1) 2023: 16171-16189 - [c89]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:
Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness. ICLR 2023 - [c88]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:
STREET: A Multi-Task Structured Reasoning and Explanation Benchmark. ICLR 2023 - [c87]Donghan Yu, Sheng Zhang, Patrick Ng, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Yiqun Hu, William Yang Wang, Zhiguo Wang, Bing Xiang:
DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases. ICLR 2023 - [c86]Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Hantian Ding, Ming Tan, Nihal Jain, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang:
CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion. NeurIPS 2023 - [c85]Xiaokai Wei, Sujan Kumar Gonugondla, Shiqi Wang, Wasi Uddin Ahmad, Baishakhi Ray, Haifeng Qian, Xiaopeng Li, Varun Kumar, Zijian Wang, Yuchen Tian, Qing Sun, Ben Athiwaratkun, Mingyue Shang, Murali Krishna Ramanathan, Parminder Bhatia, Bing Xiang:
Towards Greener Yet Powerful Code Generation via Quantization: An Empirical Study. ESEC/SIGSOFT FSE 2023: 224-236 - [i70]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:
Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness. CoRR abs/2301.08881 (2023) - [i69]Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Henry Zhu, Rui Dong, Deguang Kong, Juliette Burger, Anjelica Ramos, William Yang Wang, Zhiheng Huang, George Karypis, Bing Xiang, Dan Roth:
STREET: A Multi-Task Structured Reasoning and Explanation Benchmark. CoRR abs/2302.06729 (2023) - [i68]Matthew Trager, Pramuditha Perera, Luca Zancato, Alessandro Achille, Parminder Bhatia, Bing Xiang, Stefano Soatto:
Linear Spaces of Meanings: the Compositional Language of VLMs. CoRR abs/2302.14383 (2023) - [i67]Xiaokai Wei, Sujan K. Gonugondla, Wasi Uddin Ahmad, Shiqi Wang, Baishakhi Ray, Haifeng Qian, Xiaopeng Li, Varun Kumar, Zijian Wang, Yuchen Tian, Qing Sun, Ben Athiwaratkun, Mingyue Shang, Murali Krishna Ramanathan, Parminder Bhatia, Bing Xiang:
Greener yet Powerful: Taming Large Code Generation Models with Quantization. CoRR abs/2303.05378 (2023) - [i66]Wuwei Lan, Zhiguo Wang, Anuj Chauhan, Henghui Zhu, Alexander Hanbo Li, Jiang Guo, Sheng Zhang, Chung-Wei Hang, Joseph Lilien, Yiqun Hu, Lin Pan, Mingwen Dong, Jun Wang, Jiarong Jiang, Stephen Ash, Vittorio Castelli, Patrick Ng, Bing Xiang:
UNITE: A Unified Benchmark for Text-to-SQL Evaluation. CoRR abs/2305.16265 (2023) - [i65]Sijia Wang, Alexander Hanbo Li, Henry Zhu, Sheng Zhang, Chung-Wei Hang, Pramuditha Perera, Jie Ma, William Wang, Zhiguo Wang, Vittorio Castelli, Bing Xiang, Patrick Ng:
Benchmarking Diverse-Modal Entity Linking with Generative Models. CoRR abs/2305.17337 (2023) - [i64]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:
Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge. CoRR abs/2305.18842 (2023) - [i63]Chenghao Yang, Fan Yin, He He, Kai-Wei Chang, Xiaofei Ma, Bing Xiang:
Efficient Shapley Values Estimation by Amortization for Text Classification. CoRR abs/2305.19998 (2023) - [i62]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:
A Static Evaluation of Code Completion by Large Language Models. CoRR abs/2306.03203 (2023) - [i61]Prateek Yadav, Qing Sun, Hantian Ding, Xiaopeng Li, Dejiao Zhang, Ming Tan, Xiaofei Ma, Parminder Bhatia, Ramesh Nallapati, Murali Krishna Ramanathan, Mohit Bansal, Bing Xiang:
Exploring Continual Learning for Code Generation Models. CoRR abs/2307.02435 (2023) - [i60]Siddhartha Jain, Xiaofei Ma, Anoop Deoras, Bing Xiang:
Self-consistency for open-ended generations. CoRR abs/2307.06857 (2023) - [i59]Alexander Hanbo Li, Mingyue Shang, Evangelia Spiliopoulou, Jie Ma, Patrick Ng, Zhiguo Wang, Bonan Min, William Wang, Kathleen R. McKeown, Vittorio Castelli, Dan Roth, Bing Xiang:
Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning. CoRR abs/2308.05317 (2023) - [i58]Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Hantian Ding, Ming Tan, Nihal Jain, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang:
CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion. CoRR abs/2310.11248 (2023) - 2022
- [c84]Peng Shi, Patrick Ng, Feng Nan, Henghui Zhu, Jun Wang, Jiarong Jiang, Alexander Hanbo Li, Rishav Chakravarti, Donald Weidner, Bing Xiang, Zhiguo Wang:
Generation-Focused Table-Based Intermediate Pre-training for Free-Form Question Answering. AAAI 2022: 11312-11320 - [c83]Zheng Li, Zijian Wang, Ming Tan, Ramesh Nallapati, Parminder Bhatia, Andrew O. Arnold, Bing Xiang, Dan Roth:
DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization. ACL (2) 2022: 203-211 - [c82]Jun Wang, Patrick Ng, Alexander Hanbo Li, Jiarong Jiang, Zhiguo Wang, Bing Xiang, Ramesh Nallapati, Sudipta Sengupta:
Improving Text-to-SQL Semantic Parsing with Fine-grained Query Understanding. EMNLP (Industry Track) 2022: 306-312 - [c81]Zhihan Zhou, Dejiao Zhang, Wei Xiao, Nicholas Dingwall, Xiaofei Ma, Andrew O. Arnold, Bing Xiang:
Learning Dialogue Representations from Consecutive Utterances. NAACL-HLT 2022: 754-768 - [i57]Zheng Li, Zijian Wang, Ming Tan, Ramesh Nallapati, Parminder Bhatia, Andrew O. Arnold, Bing Xiang, Dan Roth:
DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization. CoRR abs/2203.11239 (2022) - [i56]Zhihan Zhou, Dejiao Zhang, Wei Xiao, Nicholas Dingwall, Xiaofei Ma, Andrew O. Arnold, Bing Xiang:
Learning Dialogue Representations from Consecutive Utterances. CoRR abs/2205.13568 (2022) - [i55]Sheng Zhang, Patrick Ng, Zhiguo Wang, Bing Xiang:
REKnow: Enhanced Knowledge for Joint Entity and Relation Extraction. CoRR abs/2206.05123 (2022) - [i54]Jun Wang, Patrick Ng, Alexander Hanbo Li, Jiarong Jiang, Zhiguo Wang, Ramesh Nallapati, Bing Xiang, Sudipta Sengupta:
Improving Text-to-SQL Semantic Parsing with Fine-grained Query Understanding. CoRR abs/2209.14415 (2022) - [i53]Donghan Yu, Sheng Zhang, Patrick Ng, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Yiqun Hu, William Wang, Zhiguo Wang, Bing Xiang:
DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases. CoRR abs/2210.00063 (2022) - [i52]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:
ContraGen: Effective Contrastive Learning For Causal Language Model. CoRR abs/2210.01185 (2022) - [i51]Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, Xiaopeng Li, Yuchen Tian, Ming Tan, Wasi Uddin Ahmad, Shiqi Wang, Qing Sun, Mingyue Shang, Sujan Kumar Gonugondla, Hantian Ding, Varun Kumar, Nathan Fulton, Arash Farahani, Siddhartha Jain, Robert Giaquinto, Haifeng Qian, Murali Krishna Ramanathan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang:
Multi-lingual Evaluation of Code Generation Models. CoRR abs/2210.14868 (2022) - [i50]Yiyun Zhao, Jiarong Jiang, Yiqun Hu, Wuwei Lan, Henry Zhu, Anuj Chauhan, Alexander Hanbo Li, Lin Pan, Jun Wang, Chung-Wei Hang, Sheng Zhang, Marvin Dong, Joe Lilien, Patrick Ng, Zhiguo Wang, Vittorio Castelli, Bing Xiang:
Importance of Synthesizing High-quality Data for Text-to-SQL Parsing. CoRR abs/2212.08785 (2022) - [i49]Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang:
CoCoMIC: Code Completion By Jointly Modeling In-file and Cross-file Context. CoRR abs/2212.10007 (2022) - [i48]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:
ReCode: Robustness Evaluation of Code Generation Models. CoRR abs/2212.10264 (2022) - 2021
- [c80]Peng Shi, Patrick Ng, Zhiguo Wang, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Cícero Nogueira dos Santos, Bing Xiang:
Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training. AAAI 2021: 13806-13814 - [c79]Yifan Gao, Henghui Zhu, Patrick Ng, Cícero Nogueira dos Santos, Zhiguo Wang, Feng Nan, Dejiao Zhang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang:
Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction. ACL/IJCNLP (1) 2021: 3263-3276 - [c78]Alexander Hanbo Li, Patrick Ng, Peng Xu, Henghui Zhu, Zhiguo Wang, Bing Xiang:
Dual Reader-Parser on Hybrid Textual and Tabular Evidence for Open Domain Question Answering. ACL/IJCNLP (1) 2021: 4078-4088 - [c77]Feng Nan, Cícero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Kathleen R. McKeown, Ramesh Nallapati, Dejiao Zhang, Zhiguo Wang, Andrew O. Arnold, Bing Xiang:
Improving Factual Consistency of Abstractive Summarization via Question Answering. ACL/IJCNLP (1) 2021: 6881-6894 - [c76]Zhiguo Wang, Patrick Ng, Ramesh Nallapati, Bing Xiang:
Retrieval, Re-ranking and Multi-task Learning for Knowledge-Base Question Answering. EACL 2021: 347-357 - [c75]Feng Nan, Ramesh Nallapati, Zhiguo Wang, Cícero Nogueira dos Santos, Henghui Zhu, Dejiao Zhang, Kathy McKeown, Bing Xiang:
Entity-level Factual Consistency of Abstractive Text Summarization. EACL 2021: 2727-2733 - [c74]Peng Xu, Xinchi Chen, Xiaofei Ma, Zhiheng Huang, Bing Xiang:
Contrastive Document Representation Learning with Graph Attention Networks. EMNLP (Findings) 2021: 3874-3884 - [c73]Dejiao Zhang, Shang-Wen Li, Wei Xiao, Henghui Zhu, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang:
Pairwise Supervised Contrastive Learning of Sentence Representations. EMNLP (1) 2021: 5786-5798 - [c72]Dheeru Dua, Cícero Nogueira dos Santos, Patrick Ng, Ben Athiwaratkun, Bing Xiang, Matt Gardner, Sameer Singh:
Generative Context Pair Selection for Multi-hop Question Answering. EMNLP (1) 2021: 7009-7015 - [c71]Giovanni Paolini, Ben Athiwaratkun, Jason Krone, Jie Ma, Alessandro Achille, Rishita Anubhai, Cícero Nogueira dos Santos, Bing Xiang, Stefano Soatto:
Structured Prediction as Translation between Augmented Natural Languages. ICLR 2021 - [c70]Dejiao Zhang, Feng Nan, Xiaokai Wei, Shang-Wen Li, Henghui Zhu, Kathleen R. McKeown, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang:
Supporting Clustering with Contrastive Learning. NAACL-HLT 2021: 5419-5430 - [c69]Shen Wang, Xiaokai Wei, Cícero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang, Philip S. Yu, Isabel F. Cruz:
Mixed-Curvature Multi-Relational Graph Neural Network for Knowledge Graph Completion. WWW 2021: 1761-1771 - [i47]Giovanni Paolini, Ben Athiwaratkun, Jason Krone, Jie Ma, Alessandro Achille, Rishita Anubhai, Cícero Nogueira dos Santos, Bing Xiang, Stefano Soatto:
Structured Prediction as Translation between Augmented Natural Languages. CoRR abs/2101.05779 (2021) - [i46]Feng Nan, Ramesh Nallapati, Zhiguo Wang, Cícero Nogueira dos Santos, Henghui Zhu, Dejiao Zhang, Kathleen R. McKeown, Bing Xiang:
Entity-level Factual Consistency of Abstractive Text Summarization. CoRR abs/2102.09130 (2021) - [i45]Dejiao Zhang, Feng Nan, Xiaokai Wei, Shang-Wen Li, Henghui Zhu, Kathleen R. McKeown, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang:
Supporting Clustering with Contrastive Learning. CoRR abs/2103.12953 (2021) - [i44]Dheeru Dua, Cícero Nogueira dos Santos, Patrick Ng, Ben Athiwaratkun, Bing Xiang, Matt Gardner, Sameer Singh:
Generative Context Pair Selection for Multi-hop Question Answering. CoRR abs/2104.08744 (2021) - [i43]Feng Nan, Cícero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Kathleen R. McKeown, Ramesh Nallapati, Dejiao Zhang, Zhiguo Wang, Andrew O. Arnold, Bing Xiang:
Improving Factual Consistency of Abstractive Summarization via Question Answering. CoRR abs/2105.04623 (2021) - [i42]Yang Li, Ben Athiwaratkun, Cícero Nogueira dos Santos, Bing Xiang:
Joint Text and Label Generation for Spoken Language Understanding. CoRR abs/2105.05052 (2021) - [i41]Alexander Hanbo Li, Patrick Ng, Peng Xu, Henghui Zhu, Zhiguo Wang, Bing Xiang:
Dual Reader-Parser on Hybrid Textual and Tabular Evidence for Open Domain Question Answering. CoRR abs/2108.02866 (2021) - [i40]Dejiao Zhang, Shang-Wen Li, Wei Xiao, Henghui Zhu, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang:
Pairwise Supervised Contrastive Learning of Sentence Representations. CoRR abs/2109.05424 (2021) - [i39]Zhiheng Huang, Davis Liang, Peng Xu, Bing Xiang:
Multiplicative Position-aware Transformer Models for Language Understanding. CoRR abs/2109.12788 (2021) - [i38]Peng Xu, Davis Liang, Zhiheng Huang, Bing Xiang:
Attention-guided Generative Models for Extractive Question Answering. CoRR abs/2110.06393 (2021) - [i37]Peng Xu, Xinchi Chen, Xiaofei Ma, Zhiheng Huang, Bing Xiang:
Contrastive Document Representation Learning with Graph Attention Networks. CoRR abs/2110.10778 (2021) - 2020
- [c68]Henghui Zhu, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang:
Who Did They Respond to? Conversation Structure Modeling Using Masked Hierarchical Transformer. AAAI 2020: 9741-9748 - [c67]Alexander R. Fabbri, Patrick Ng, Zhiguo Wang, Ramesh Nallapati, Bing Xiang:
Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering. ACL 2020: 4508-4513 - [c66]Ben Athiwaratkun, Cícero Nogueira dos Santos, Jason Krone, Bing Xiang:
Augmented Natural Language for Generative Sequence Labeling. EMNLP (1) 2020: 375-385 - [c65]Cícero Nogueira dos Santos, Xiaofei Ma, Ramesh Nallapati, Zhiheng Huang, Bing Xiang:
Beyond [CLS] through Ranking by Generation. EMNLP (1) 2020: 1722-1727 - [c64]Zhiheng Huang, Davis Liang, Peng Xu, Bing Xiang:
Improve Transformer Models with Better Relative Position Embeddings. EMNLP (Findings) 2020: 3327-3335 - [c63]Dejiao Zhang, Ramesh Nallapati, Henghui Zhu, Feng Nan, Cícero Nogueira dos Santos, Kathleen R. McKeown, Bing Xiang:
Unsupervised Domain Adaptation for Cross-lingual Text Labeling. EMNLP (Findings) 2020: 3527-3536 - [c62]Shen Wang, Xiaokai Wei, Cícero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang, Philip S. Yu:
H2KGAT: Hierarchical Hyperbolic Knowledge Graph Attention Network. EMNLP (1) 2020: 4952-4962 - [c61]Siamak Shakeri, Cícero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang:
End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems. EMNLP (1) 2020: 5445-5460 - [c60]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:
Elastic Machine Learning Algorithms in Amazon SageMaker. SIGMOD Conference 2020: 731-737 - [i36]Zhiheng Huang, Peng Xu, Davis Liang, Ajay Mishra, Bing Xiang:
TRANS-BLSTM: Transformer with Bidirectional LSTM for Language Understanding. CoRR abs/2003.07000 (2020) - [i35]Alexander R. Fabbri, Patrick Ng, Zhiguo Wang, Ramesh Nallapati, Bing Xiang:
Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering. CoRR abs/2004.11892 (2020) - [i34]Davis Liang, Peng Xu, Siamak Shakeri, Cícero Nogueira dos Santos, Ramesh Nallapati, Zhiheng Huang, Bing Xiang:
Embedding-based Zero-shot Retrieval through Query Generation. CoRR abs/2009.10270 (2020) - [i33]Ben Athiwaratkun, Cícero Nogueira dos Santos, Jason Krone, Bing Xiang:
Augmented Natural Language for Generative Sequence Labeling. CoRR abs/2009.13272 (2020) - [i32]Zhiheng Huang, Davis Liang, Peng Xu, Bing Xiang:
Improve Transformer Models with Better Relative Position Embeddings. CoRR abs/2009.13658 (2020) - [i31]Cícero Nogueira dos Santos, Xiaofei Ma, Ramesh Nallapati, Zhiheng Huang, Bing Xiang:
Beyond [CLS] through Ranking by Generation. CoRR abs/2010.03073 (2020) - [i30]Siamak Shakeri, Cícero Nogueira dos Santos, Henry Zhu, Patrick Ng, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang:
End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems. CoRR abs/2010.06028 (2020) - [i29]Yifan Gao, Henghui Zhu, Patrick Ng, Cícero Nogueira dos Santos, Zhiguo Wang, Feng Nan, Dejiao Zhang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang:
Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction. CoRR abs/2011.13137 (2020) - [i28]Peng Shi, Patrick Ng, Zhiguo Wang, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Cícero Nogueira dos Santos, Bing Xiang:
Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training. CoRR abs/2012.10309 (2020)
2010 – 2019
- 2019
- [c59]Feng Nan, Ran Ding, Ramesh Nallapati, Bing Xiang:
Topic Modeling with Wasserstein Autoencoders. ACL (1) 2019: 6345-6381 - [c58]Xiaofei Ma, Peng Xu, Zhiguo Wang, Ramesh Nallapati, Bing Xiang:
Domain Adaptation with BERT-based Domain Classification and Data Selection. DeepLo@EMNLP-IJCNLP 2019: 76-83 - [c57]Pramuditha Perera, Ramesh Nallapati, Bing Xiang:
OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations. CVPR 2019: 2898-2906 - [c56]Zhiguo Wang, Patrick Ng, Xiaofei Ma, Ramesh Nallapati, Bing Xiang:
Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering. EMNLP/IJCNLP (1) 2019: 5877-5881 - [i27]Pramuditha Perera, Ramesh Nallapati, Bing Xiang:
OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations. CoRR abs/1903.08550 (2019) - [i26]Zhiheng Huang, Bing Xiang:
WeNet: Weighted Networks for Recurrent Network Architecture Search. CoRR abs/1904.03819 (2019) - [i25]Peng Xu, Xiaofei Ma, Ramesh Nallapati, Bing Xiang:
Passage Ranking with Weak Supervsion. CoRR abs/1905.05910 (2019) - [i24]Feng Nan, Ran Ding, Ramesh Nallapati, Bing Xiang:
Topic Modeling with Wasserstein Autoencoders. CoRR abs/1907.12374 (2019) - [i23]Zhiguo Wang, Patrick Ng, Xiaofei Ma, Ramesh Nallapati, Bing Xiang:
Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering. CoRR abs/1908.08167 (2019) - [i22]Xiaofei Ma, Zhiguo Wang, Patrick Ng, Ramesh Nallapati, Bing Xiang:
Universal Text Representation from BERT: An Empirical Study. CoRR abs/1910.07973 (2019) - [i21]Henghui Zhu, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang:
Who did They Respond to? Conversation Structure Modeling using Masked Hierarchical Transformer. CoRR abs/1911.10666 (2019) - 2018
- [c55]Rui Zhang, Cícero Nogueira dos Santos, Michihiro Yasunaga, Bing Xiang, Dragomir R. Radev:
Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering. ACL (2) 2018: 102-107 - [c54]Ran Ding, Ramesh Nallapati, Bing Xiang:
Coherence-Aware Neural Topic Modeling. EMNLP 2018: 830-836 - [i20]Rui Zhang, Cícero Nogueira dos Santos, Michihiro Yasunaga, Bing Xiang, Dragomir R. Radev:
Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering. CoRR abs/1805.04893 (2018) - [i19]Ran Ding, Ramesh Nallapati, Bing Xiang:
Coherence-Aware Neural Topic Modeling. CoRR abs/1809.02687 (2018) - 2017
- [c53]Feifei Zhai, Saloni Potdar, Bing Xiang, Bowen Zhou:
Neural Models for Sequence Chunking. AAAI 2017: 3365-3371 - [c52]Mingbo Ma, Liang Huang, Bing Xiang, Bowen Zhou:
Group Sparse CNNs for Question Classification with Answer Sets. ACL (2) 2017: 335-340 - [c51]Mo Yu, Wenpeng Yin, Kazi Saidul Hasan, Cícero Nogueira dos Santos, Bing Xiang, Bowen Zhou:
Improved Neural Relation Detection for Knowledge Base Question Answering. ACL (1) 2017: 571-581 - [c50]Wei Zhang, Minwei Feng, Yunhui Zheng, Yufei Ren, Yandong Wang, Ji Liu, Peng Liu, Bing Xiang, Li Zhang, Bowen Zhou, Fei Wang:
GaDei: On Scale-Up Training as a Service for Deep Learning. ICDM 2017: 1195-1200 - [c49]Zhouhan Lin, Minwei Feng, Cícero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, Yoshua Bengio:
A Structured Self-Attentive Sentence Embedding. ICLR (Poster) 2017 - [c48]Mingbo Ma, Kai Zhao, Liang Huang, Bing Xiang, Bowen Zhou:
Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks. INTERSPEECH 2017: 3334-3338 - [i18]Feifei Zhai, Saloni Potdar, Bing Xiang, Bowen Zhou:
Neural Models for Sequence Chunking. CoRR abs/1701.04027 (2017) - [i17]Zhouhan Lin, Minwei Feng, Cícero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, Yoshua Bengio:
A Structured Self-attentive Sentence Embedding. CoRR abs/1703.03130 (2017) - [i16]Mo Yu, Wenpeng Yin, Kazi Saidul Hasan, Cícero Nogueira dos Santos, Bing Xiang, Bowen Zhou:
Improved Neural Relation Detection for Knowledge Base Question Answering. CoRR abs/1704.06194 (2017) - [i15]Mingbo Ma, Kai Zhao, Liang Huang, Bing Xiang, Bowen Zhou:
Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks. CoRR abs/1709.10191 (2017) - [i14]Mingbo Ma, Liang Huang, Bing Xiang, Bowen Zhou:
Group Sparse CNNs for Question Classification with Answer Sets. CoRR abs/1710.02717 (2017) - 2016
- [j5]Wenpeng Yin, Hinrich Schütze, Bing Xiang, Bowen Zhou:
ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs. Trans. Assoc. Comput. Linguistics 4: 259-272 (2016) - [c47]Ming Tan, Cícero Nogueira dos Santos, Bing Xiang, Bowen Zhou:
Improved Representation Learning for Question Answer Matching. ACL (1) 2016 - [c46]Minwei Feng, Bing Xiang, Bowen Zhou:
Distributed Deep Learning for Question Answering. CIKM 2016: 2413-2416 - [c45]Wenpeng Yin, Mo Yu, Bing Xiang, Bowen Zhou, Hinrich Schütze:
Simple Question Answering by Attentive Convolutional Neural Network. COLING 2016: 1746-1756 - [c44]Ramesh Nallapati, Bowen Zhou, Cícero Nogueira dos Santos, Çaglar Gülçehre, Bing Xiang:
Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond. CoNLL 2016: 280-290 - [c43]Gakuto Kurata, Bing Xiang, Bowen Zhou, Mo Yu:
Leveraging Sentence-level Information with Encoder LSTM for Semantic Slot Filling. EMNLP 2016: 2077-2083 - [c42]Gakuto Kurata, Bing Xiang, Bowen Zhou:
Labeled Data Generation with Encoder-Decoder LSTM for Semantic Slot Filling. INTERSPEECH 2016: 725-729 - [c41]Gakuto Kurata, Bing Xiang, Bowen Zhou:
Improved Neural Network-based Multi-label Classification with Better Initialization Leveraging Label Co-occurrence. HLT-NAACL 2016: 521-526 - [i13]Gakuto Kurata, Bing Xiang, Bowen Zhou, Mo Yu:
Leveraging Sentence-level Information with Encoder LSTM for Natural Language Understanding. CoRR abs/1601.01530 (2016) - [i12]Cícero Nogueira dos Santos, Ming Tan, Bing Xiang, Bowen Zhou:
Attentive Pooling Networks. CoRR abs/1602.03609 (2016) - [i11]Ramesh Nallapati, Bing Xiang, Bowen Zhou:
Sequence-to-Sequence RNNs for Text Summarization. CoRR abs/1602.06023 (2016) - [i10]Wenpeng Yin, Mo Yu, Bing Xiang, Bowen Zhou, Hinrich Schütze:
Simple Question Answering by Attentive Convolutional Neural Network. CoRR abs/1606.03391 (2016) - [i9]Yang Yu, Wei Zhang, Kazi Saidul Hasan, Mo Yu, Bing Xiang, Bowen Zhou:
End-to-End Reading Comprehension with Dynamic Answer Chunk Ranking. CoRR abs/1610.09996 (2016) - [i8]Wei Zhang, Minwei Feng, Yunhui Zheng, Yufei Ren, Yandong Wang, Ji Liu, Peng Liu, Bing Xiang, Li Zhang, Bowen Zhou:
GaDei: On Scale-up Training As A Service For Deep Learning. CoRR abs/1611.06213 (2016) - 2015
- [c40]Mingbo Ma, Liang Huang, Bowen Zhou, Bing Xiang:
Dependency-based Convolutional Neural Networks for Sentence Embedding. ACL (2) 2015: 174-179 - [c39]Cícero Nogueira dos Santos, Bing Xiang, Bowen Zhou:
Classifying Relations by Ranking with Convolutional Neural Networks. ACL (1) 2015: 626-634 - [c38]Minwei Feng, Bing Xiang, Michael R. Glass, Lidan Wang, Bowen Zhou:
Applying deep learning to answer selection: A study and an open task. ASRU 2015: 813-820 - [c37]Lidan Wang, Minwei Feng, Bowen Zhou, Bing Xiang, Sridhar Mahadevan:
Efficient Hyper-parameter Optimization for NLP Applications. EMNLP 2015: 2112-2117 - [i7]Cícero Nogueira dos Santos, Bing Xiang, Bowen Zhou:
Classifying Relations by Ranking with Convolutional Neural Networks. CoRR abs/1504.06580 (2015) - [i6]Mingbo Ma, Liang Huang, Bowen Zhou, Bing Xiang:
Tree-based Convolution for Sentence Modeling. CoRR abs/1507.01839 (2015) - [i5]Minwei Feng, Bing Xiang, Michael R. Glass, Lidan Wang, Bowen Zhou:
Applying Deep Learning to Answer Selection: A Study and An Open Task. CoRR abs/1508.01585 (2015) - [i4]Minwei Feng, Bing Xiang, Bowen Zhou:
Distributed Deep Learning for Answer Selection. CoRR abs/1511.01158 (2015) - [i3]Ming Tan, Bing Xiang, Bowen Zhou:
LSTM-based Deep Learning Models for non-factoid answer selection. CoRR abs/1511.04108 (2015) - [i2]James Cross, Bing Xiang, Bowen Zhou:
Good, Better, Best: Choosing Word Embedding Context. CoRR abs/1511.06312 (2015) - [i1]Wenpeng Yin, Hinrich Schütze, Bing Xiang, Bowen Zhou:
ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs. CoRR abs/1512.05193 (2015) - 2014
- [c36]Bing Xiang, Liang Zhou:
Improving Twitter Sentiment Analysis with Topic-Based Mixture Modeling and Semi-Supervised Training. ACL (2) 2014: 434-439 - 2013
- [j4]Bowen Zhou, Xiaodong Cui, Songfang Huang, Martin Cmejrek, Wei Zhang, Jian Xue, Jia Cui, Bing Xiang, Gregg Daggett, Upendra V. Chaudhari, Sameer Maskey, Etienne Marcheret:
The IBM speech-to-speech translation system for smartphone: Improvements for resource-constrained tasks. Comput. Speech Lang. 27(2): 592-618 (2013) - [c35]Bing Xiang, Xiaoqiang Luo, Bowen Zhou:
Enlisting the Ghost: Modeling Empty Categories for Machine Translation. ACL (1) 2013: 822-831 - [c34]Hendra Setiawan, Bowen Zhou, Bing Xiang, Libin Shen:
Two-Neighbor Orientation Model with Cross-Boundary Global Contexts. ACL (1) 2013: 1264-1274 - [c33]Hendra Setiawan, Bowen Zhou, Bing Xiang:
Anchor Graph: Global Reordering Contexts for Statistical Machine Translation. EMNLP 2013: 501-512 - 2011
- [c32]Bing Xiang, Abraham Ittycheriah:
Discriminative Feature-Tied Mixture Modeling for Statistical Machine Translation. ACL (2) 2011: 424-428 - [c31]J. Scott McCarley, Abraham Ittycheriah, Salim Roukos, Bing Xiang, Jian-Ming Xu:
A Correction Model for Word Alignments. EMNLP 2011: 889-898 - [c30]Young-Suk Lee, Bing Xiang, Bing Zhao, Martin Franz, Salim Roukos, Yaser Al-Onaizan:
IBM Chinese-to-English PatentMT System for NTCIR-9. NTCIR 2011 - [c29]Bing Xiang, Niyu Ge, Abraham Ittycheriah:
Improving Reordering for Statistical Machine Translation with Smoothed Priors and Syntactic Features. SSST@ACL 2011: 61-69 - 2010
- [c28]Bing Xiang, Yonggang Deng, Bowen Zhou:
Diversify and Combine: Improving Word Alignment for Machine Translation on Low-Resource Languages. ACL (2) 2010: 22-26 - [c27]Fei Huang, Bing Xiang:
Feature-Rich Discriminative Phrase Rescoring for SMT. COLING 2010: 492-500
2000 – 2009
- 2009
- [c26]Bing Xiang, Bowen Zhou, Martin Cmejrek:
Towards integrated machine translation using structural alignment from syntax-augmented synchronous parsing. ASRU 2009: 513-518 - [c25]Bing Xiang, Bowen Zhou, Martin Cmejrek:
Advances in syntax-based Malay-English speech translation. ICASSP 2009: 4801-4804 - [c24]Xiaodong Cui, Jian Xue, Bing Xiang, Bowen Zhou:
A study of bootstrapping with multiple acoustic features for improved automatic speech recognition. INTERSPEECH 2009: 240-243 - [c23]Martin Cmejrek, Bowen Zhou, Bing Xiang:
Enriching SCFG rules directly from efficient bilingual chart parsing. IWSLT 2009: 136-143 - 2008
- [c22]Bing Xiang, Yonggang Deng, Yuqing Gao:
Unsupervised training for farsi-english speech-to-speech translation. ICASSP 2008: 4977-4980 - [c21]Xiaodong Cui, Liang Gu, Bing Xiang, Wei Zhang, Yuqing Gao:
Developing high performance asr in the IBM multilingual speech-to-speech translation system. ICASSP 2008: 5121-5124 - [c20]Bowen Zhou, Bing Xiang, Xiaodan Zhu, Yuqing Gao:
Prior Derivation Models For Formally Syntax-Based Translation Using Linguistically Syntactic Parsing and Tree Kernels. SSST@ACL 2008: 19-27 - 2007
- [c19]Spyros Matsoukas, Ivan Bulyko, Bing Xiang, Kham Nguyen, Richard M. Schwartz, John Makhoul:
Integrating Speech Recognition and Machine Translation. ICASSP (4) 2007: 1281-1284 - [c18]Antti-Veikko I. Rosti, Necip Fazil Ayan, Bing Xiang, Spyridon Matsoukas, Richard M. Schwartz, Bonnie J. Dorr:
Combining Outputs from Multiple Machine Translation Systems. HLT-NAACL 2007: 228-235 - 2006
- [j3]Spyridon Matsoukas, Jean-Luc Gauvain, Gilles Adda, Thomas Colthurst, Chia-Lin Kao, Owen Kimball, Lori Lamel, Fabrice Lefèvre, Jeff Z. Ma, John Makhoul, Long Nguyen, Rohit Prasad, Richard M. Schwartz, Holger Schwenk, Bing Xiang:
Advances in transcription of broadcast news and conversational telephone speech within the combined EARS BBN/LIMSI system. IEEE Trans. Speech Audio Process. 14(5): 1541-1556 (2006) - [c17]Bing Xiang, Kham Nguyen, Long Nguyen, Richard M. Schwartz, John Makhoul:
Morphological Decomposition for Arabic Broadcast News Transcription. ICASSP (1) 2006: 1089-1092 - 2005
- [c16]Bing Xiang, Long Nguyen, Spyros Matsoukas, Richard M. Schwartz:
Cluster-Dependent Acoustic Modeling. ICASSP (1) 2005: 677-680 - [c15]John Makhoul, Alex Baron, Ivan Bulyko, Long Nguyen, Lance A. Ramshaw, David Stallard, Richard M. Schwartz, Bing Xiang:
The effects of speech recognition and punctuation on information extraction performance. INTERSPEECH 2005: 57-60 - [c14]Mohamed Afify, Long Nguyen, Bing Xiang, Sherif M. Abdou, John Makhoul:
Recent progress in Arabic broadcast news transcription at BBN. INTERSPEECH 2005: 1637-1640 - [c13]Spyros Matsoukas, Rohit Prasad, Srinivas Laxminarayan, Bing Xiang, Long Nguyen, Richard M. Schwartz:
The 2004 BBN 1xRT recognition systems for English broadcast news and conversational telephone speech. INTERSPEECH 2005: 1641-1644 - [c12]Bing Xiang, Long Nguyen, Xuefeng Guo, Dongxin Xu:
The BBN Mandarin broadcast news transcription system. INTERSPEECH 2005: 1649-1652 - [c11]Long Nguyen, Bing Xiang, Mohamed Afify, Sherif M. Abdou, Spyros Matsoukas, Richard M. Schwartz, John Makhoul:
The BBN RT04 English broadcast news transcription system. INTERSPEECH 2005: 1673-1676 - 2004
- [c10]Long Nguyen, Bing Xiang:
Light supervision in acoustic model training. ICASSP (1) 2004: 185-188 - [c9]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:
Speech recognition in multiple languages and domains: the 2003 BBN/LIMSI EARS system. ICASSP (3) 2004: 753-756 - 2003
- [j2]Bing Xiang:
Text-independent speaker verification with dynamic trajectory model. IEEE Signal Process. Lett. 10(5): 141-143 (2003) - [j1]Bing Xiang, Toby Berger:
Efficient text-independent speaker verification with structural Gaussian mixture models and neural network. IEEE Trans. Speech Audio Process. 11(5): 447-456 (2003) - [c8]Douglas A. Reynolds, Walter D. Andrews, Joseph P. Campbell, Jirí Navrátil, Barbara Peskin, André Adami, Qin Jin, David Klusácek, Joy S. Abramson, Radu Mihaescu, John J. Godfrey, Douglas A. Jones, Bing Xiang:
The SuperSID project: exploiting high-level information for high-accuracy speaker recognition. ICASSP (4) 2003: 784-787 - [c7]Barbara Peskin, Jirí Navrátil, Joy S. Abramson, Douglas A. Jones, David Klusácek, Douglas A. Reynolds, Bing Xiang:
Using prosodic and conversational features for high-performance speaker recognition: report from JHU WS'02. ICASSP (4) 2003: 792-795 - 2002
- [c6]Bing Xiang, Upendra V. Chaudhari, Jirí Navrátil, Ganesh N. Ramaswamy, Ramesh A. Gopinath:
Short-time Gaussianization for robust speaker verification. ICASSP 2002: 681-684 - [c5]Bing Xiang, Toby Berger:
Structural Gaussian mixture models for efficient text-independent speaker verification. INTERSPEECH 2002: 1317-1320 - [c4]Bing Xiang:
Speaker verification using Gaussian component strings in dynamic trajectory space. INTERSPEECH 2002: 1365-1368 - 2001
- [c3]Bing Xiang, Toby Berger:
Multiple mixture segmental HMM and its applications. ICASSP 2001: 509-512 - 2000
- [c2]Yuqing Gao, Raimo Bakis, Jing Huang, Bing Xiang:
Multistage coarticulation model combining articulatory, formant and cepstral features. INTERSPEECH 2000: 25-28
1990 – 1999
- 1999
- [c1]Bing Xiang, Xihong Wu, Zhimin Liu, Huisheng Chi:
Auditory model based speech feature extraction and its application to speaker identification. IJCNN 1999: 284-287
Coauthor Index
[c102] [c101] [c100] [c99] [i73] [i72] [i71] [c98] [c94] [c91] [c86] [i61] [i58] [c83] [c82] [i57] [i54] [i52] [i51] [i49] [i48] [c79] [c77] [c76] [c75] [c73] [c70] [c69] [i46] [i45] [i43] [i40] [c68] [c67] [c65] [c63] [c62] [c61] [c60] [i35] [i34] [i31] [i30] [i29] [c59] [c58] [c57] [c56] [i27] [i25] [i24] [i23] [i22] [i21] [c54] [i19] [c44] [i11]
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