Bing Xiang - RankMe

189 papers A* 21A 14B 5C 3Misc 5Journal 82Unranked 59

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fin-RATE: A Real-world Financial Analytics and Tracking Evaluation Benchmark for LLMs on SEC Filings. CoRR Yidong Jiang, Junrong Chen, Eftychia Makri, Jialin Chen, Peiwen Li, Ali Maatouk, Leandros Tassiulas, Eliot Brenner, Bing Xiang, Rex Ying
2025	B	`conf`	Adaptation of Embedding Models to Financial Filings Via LLM Distillation. IEEE Big Data Eliot Brenner, Dominic Seyler, Manjunath Hegde, Andrei Simion, Koustuv Dasgupta, Bing Xiang
2025	J	`jnl`	Adaptation of Embedding Models to Financial Filings via LLM Distillation. CoRR Eliot Brenner, Dominic Seyler, Manjunath Hegde, Andrei Simion, Koustuv Dasgupta, Bing Xiang
2025	A*	`conf`	FinIR: The 2nd Workshop on Financial Information Retrieval in the Era of Generative AI. SIGIR Fengbin Zhu, Yunshan Ma, Fuli Feng, Chao Wang, Huanbo Luan, Guangnan Ye, Shuo Zhang, Dhagash Mehta, Pingping Chen, Bing Xiang, Tat-Seng Chua
2025	J	`jnl`	Magnetic Robust Energy Beamforming for Wireless Sensor Networks. IEEE Trans. Green Commun. Netw. Qixin Luo, Bing Xiang, Zhijia Li, Ruoxuan Zhou, Zihua Fang, Liang Lang
2024	A*	`conf`	Bifurcated Attention for Single-Context Large-Batch Sampling. ICML 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	J	`jnl`	Bifurcated Attention for Single-Context Large-Batch Sampling. CoRR 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	—	`conf`	CoCoMIC: Code Completion by Jointly Modeling In-file and Cross-file Context. LREC/COLING Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang
2024	J	`jnl`	Code Representation Learning At Scale. CoRR Dejiao Zhang, Wasi Uddin Ahmad, Ming Tan, Hantian Ding, Ramesh Nallapati, Dan Roth, Xiaofei Ma, Bing Xiang
2024	A*	`conf`	Code Representation Learning at Scale. ICLR Dejiao Zhang, Wasi Uddin Ahmad, Ming Tan, Hantian Ding, Ramesh Nallapati, Dan Roth, Xiaofei Ma, Bing Xiang
2024	—	`conf`	Lightweight reranking for language model generations. ACL (1) Siddhartha Jain, Xiaofei Ma, Anoop Deoras, Bing Xiang
2024	C	`conf`	Optimizing Response Time of Multi-factor Authentication Service in EV Charging System: A DRL-based Algorithm. ISPA Bing Xiang, Tianlin Yang, Qingwen Han, Yao Li, Ting Yu, Yongsheng Zhao, Shuai Zhang, Xueming Zhao
2024	—	`conf`	Token Alignment via Character Matching for Subword Completion. ACL (Findings) 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	J	`jnl`	Token Alignment via Character Matching for Subword Completion. CoRR Ben Athiwaratkun, Shiqi Wang, Mingyue Shang, Yuchen Tian, Zijian Wang, Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Rob Kwiatkowski, Ramesh Nallapati, Bing Xiang
2023	—	`conf`	A Static Evaluation of Code Completion by Large Language Models. ACL (industry) 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	J	`jnl`	A Static Evaluation of Code Completion by Large Language Models. CoRR 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	—	`conf`	Benchmarking Diverse-Modal Entity Linking with Generative Models. ACL (Findings) 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	J	`jnl`	Benchmarking Diverse-Modal Entity Linking with Generative Models. CoRR 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
2023	—	`conf`	ContraCLM: Contrastive Learning For Causal Language Model. ACL (1) 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	A*	`conf`	CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion. NeurIPS Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Hantian Ding, Ming Tan, Nihal Jain, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang
2023	J	`jnl`	CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion. CoRR Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Hantian Ding, Ming Tan, Nihal Jain, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang
2023	J	`jnl`	Data Mining Analysis for Improving Decision-Making in Computer Management Information Systems. Scalable Comput. Pract. Exp. Xiaohong Dong, Bing Xiang
2023	A*	`conf`	DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases. ICLR Donghan Yu, Sheng Zhang, Patrick Ng, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Yiqun Hu, William Yang Wang, Zhiguo Wang, Bing Xiang
2023	A*	`conf`	Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness. ICLR 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	J	`jnl`	Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness. CoRR 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	—	`conf`	Efficient Shapley Values Estimation by Amortization for Text Classification. ACL (1) Chenghao Yang, Fan Yin, He He, Kai-Wei Chang, Xiaofei Ma, Bing Xiang
2023	J	`jnl`	Efficient Shapley Values Estimation by Amortization for Text Classification. CoRR Chenghao Yang, Fan Yin, He He, Kai-Wei Chang, Xiaofei Ma, Bing Xiang
2023	—	`conf`	Exploring Continual Learning for Code Generation Models. ACL (2) 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	J	`jnl`	Exploring Continual Learning for Code Generation Models. CoRR 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
2023	—	`conf`	Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning. ACL (1) 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	J	`jnl`	Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning. CoRR 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
2023	—	`conf`	Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge. ACL (Findings) 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	J	`jnl`	Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge. CoRR 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	J	`jnl`	Greener yet Powerful: Taming Large Code Generation Models with Quantization. CoRR 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
2023	—	`conf`	Importance of Synthesizing High-quality Data for Text-to-SQL Parsing. ACL (Findings) 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	J	`jnl`	Linear Spaces of Meanings: the Compositional Language of VLMs. CoRR Matthew Trager, Pramuditha Perera, Luca Zancato, Alessandro Achille, Parminder Bhatia, Bing Xiang, Stefano Soatto
2023	—	`conf`	ReCode: Robustness Evaluation of Code Generation Models. ACL (1) 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	—	`conf`	RobustQA: Benchmarking the Robustness of Domain Adaptation for Open-Domain Question Answering. ACL (Findings) Rujun Han, Peng Qi, Yuhao Zhang, Lan Liu, Juliette Burger, William Yang Wang, Zhiheng Huang, Bing Xiang, Dan Roth
2023	A*	`conf`	STREET: A Multi-Task Structured Reasoning and Explanation Benchmark. ICLR 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	J	`jnl`	STREET: A Multi-Task Structured Reasoning and Explanation Benchmark. CoRR 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
2023	J	`jnl`	Self-consistency for open-ended generations. CoRR Siddhartha Jain, Xiaofei Ma, Anoop Deoras, Bing Xiang
2023	—	`conf`	Towards Greener Yet Powerful Code Generation via Quantization: An Empirical Study. ESEC/SIGSOFT FSE 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
2023	J	`jnl`	UNITE: A Unified Benchmark for Text-to-SQL Evaluation. CoRR 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
2022	J	`jnl`	CoCoMIC: Code Completion By Jointly Modeling In-file and Cross-file Context. CoRR Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang
2022	J	`jnl`	ContraGen: Effective Contrastive Learning For Causal Language Model. CoRR 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
2022	—	`conf`	DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization. ACL (2) Zheng Li, Zijian Wang, Ming Tan, Ramesh Nallapati, Parminder Bhatia, Andrew O. Arnold, Bing Xiang, Dan Roth
2022	J	`jnl`	DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization. CoRR Zheng Li, Zijian Wang, Ming Tan, Ramesh Nallapati, Parminder Bhatia, Andrew O. Arnold, Bing Xiang, Dan Roth
2022	J	`jnl`	DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases. CoRR Donghan Yu, Sheng Zhang, Patrick Ng, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Yiqun Hu, William Wang, Zhiguo Wang, Bing Xiang
2022	A*	`conf`	Generation-Focused Table-Based Intermediate Pre-training for Free-Form Question Answering. AAAI Peng Shi, Patrick Ng, Feng Nan, Henghui Zhu, Jun Wang, Jiarong Jiang, Alexander Hanbo Li, Rishav Chakravarti, Donald Weidner, Bing Xiang, Zhiguo Wang
2022	J	`jnl`	Importance of Synthesizing High-quality Data for Text-to-SQL Parsing. CoRR 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
2022	—	`conf`	Improving Text-to-SQL Semantic Parsing with Fine-grained Query Understanding. EMNLP (Industry Track) Jun Wang, Patrick Ng, Alexander Hanbo Li, Jiarong Jiang, Zhiguo Wang, Bing Xiang, Ramesh Nallapati, Sudipta Sengupta
2022	J	`jnl`	Improving Text-to-SQL Semantic Parsing with Fine-grained Query Understanding. CoRR Jun Wang, Patrick Ng, Alexander Hanbo Li, Jiarong Jiang, Zhiguo Wang, Ramesh Nallapati, Bing Xiang, Sudipta Sengupta
2022	—	`conf`	Learning Dialogue Representations from Consecutive Utterances. NAACL-HLT Zhihan Zhou, Dejiao Zhang, Wei Xiao, Nicholas Dingwall, Xiaofei Ma, Andrew O. Arnold, Bing Xiang
2022	J	`jnl`	Learning Dialogue Representations from Consecutive Utterances. CoRR Zhihan Zhou, Dejiao Zhang, Wei Xiao, Nicholas Dingwall, Xiaofei Ma, Andrew O. Arnold, Bing Xiang
2022	J	`jnl`	Multi-lingual Evaluation of Code Generation Models. CoRR 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
2022	J	`jnl`	REKnow: Enhanced Knowledge for Joint Entity and Relation Extraction. CoRR Sheng Zhang, Patrick Ng, Zhiguo Wang, Bing Xiang
2022	J	`jnl`	ReCode: Robustness Evaluation of Code Generation Models. CoRR 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
2021	—	`conf`	Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction. ACL/IJCNLP (1) Yifan Gao, Henghui Zhu, Patrick Ng, Cícero Nogueira dos Santos, Zhiguo Wang, Feng Nan, Dejiao Zhang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang
2021	J	`jnl`	Attention-guided Generative Models for Extractive Question Answering. CoRR Peng Xu, Davis Liang, Zhiheng Huang, Bing Xiang
2021	—	`conf`	Contrastive Document Representation Learning with Graph Attention Networks. EMNLP (Findings) Peng Xu, Xinchi Chen, Xiaofei Ma, Zhiheng Huang, Bing Xiang
2021	J	`jnl`	Contrastive Document Representation Learning with Graph Attention Networks. CoRR Peng Xu, Xinchi Chen, Xiaofei Ma, Zhiheng Huang, Bing Xiang
2021	—	`conf`	Dual Reader-Parser on Hybrid Textual and Tabular Evidence for Open Domain Question Answering. ACL/IJCNLP (1) Alexander Hanbo Li, Patrick Ng, Peng Xu, Henghui Zhu, Zhiguo Wang, Bing Xiang
2021	J	`jnl`	Dual Reader-Parser on Hybrid Textual and Tabular Evidence for Open Domain Question Answering. CoRR Alexander Hanbo Li, Patrick Ng, Peng Xu, Henghui Zhu, Zhiguo Wang, Bing Xiang
2021	A	`conf`	Entity-level Factual Consistency of Abstractive Text Summarization. EACL Feng Nan, Ramesh Nallapati, Zhiguo Wang, Cícero Nogueira dos Santos, Henghui Zhu, Dejiao Zhang, Kathy McKeown, Bing Xiang
2021	J	`jnl`	Entity-level Factual Consistency of Abstractive Text Summarization. CoRR Feng Nan, Ramesh Nallapati, Zhiguo Wang, Cícero Nogueira dos Santos, Henghui Zhu, Dejiao Zhang, Kathleen R. McKeown, Bing Xiang
2021	—	`conf`	Generative Context Pair Selection for Multi-hop Question Answering. EMNLP (1) Dheeru Dua, Cícero Nogueira dos Santos, Patrick Ng, Ben Athiwaratkun, Bing Xiang, Matt Gardner, Sameer Singh
2021	J	`jnl`	Generative Context Pair Selection for Multi-hop Question Answering. CoRR Dheeru Dua, Cícero Nogueira dos Santos, Patrick Ng, Ben Athiwaratkun, Bing Xiang, Matt Gardner, Sameer Singh
2021	—	`conf`	Improving Factual Consistency of Abstractive Summarization via Question Answering. ACL/IJCNLP (1) Feng Nan, Cícero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Kathleen R. McKeown, Ramesh Nallapati, Dejiao Zhang, Zhiguo Wang, Andrew O. Arnold, Bing Xiang
2021	J	`jnl`	Improving Factual Consistency of Abstractive Summarization via Question Answering. CoRR Feng Nan, Cícero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Kathleen R. McKeown, Ramesh Nallapati, Dejiao Zhang, Zhiguo Wang, Andrew O. Arnold, Bing Xiang
2021	J	`jnl`	Joint Text and Label Generation for Spoken Language Understanding. CoRR Yang Li, Ben Athiwaratkun, Cícero Nogueira dos Santos, Bing Xiang
2021	A*	`conf`	Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training. AAAI Peng Shi, Patrick Ng, Zhiguo Wang, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Cícero Nogueira dos Santos, Bing Xiang
2021	A*	`conf`	Mixed-Curvature Multi-Relational Graph Neural Network for Knowledge Graph Completion. WWW Shen Wang, Xiaokai Wei, Cícero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang, Philip S. Yu, Isabel F. Cruz
2021	J	`jnl`	Multiplicative Position-aware Transformer Models for Language Understanding. CoRR Zhiheng Huang, Davis Liang, Peng Xu, Bing Xiang
2021	—	`conf`	Pairwise Supervised Contrastive Learning of Sentence Representations. EMNLP (1) Dejiao Zhang, Shang-wen Li, Wei Xiao, Henghui Zhu, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang
2021	J	`jnl`	Pairwise Supervised Contrastive Learning of Sentence Representations. CoRR Dejiao Zhang, Shang-wen Li, Wei Xiao, Henghui Zhu, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang
2021	A	`conf`	Retrieval, Re-ranking and Multi-task Learning for Knowledge-Base Question Answering. EACL Zhiguo Wang, Patrick Ng, Ramesh Nallapati, Bing Xiang
2021	A*	`conf`	Structured Prediction as Translation between Augmented Natural Languages. ICLR Giovanni Paolini, Ben Athiwaratkun, Jason Krone, Jie Ma, Alessandro Achille, Rishita Anubhai, Cícero Nogueira dos Santos, Bing Xiang, Stefano Soatto
2021	J	`jnl`	Structured Prediction as Translation between Augmented Natural Languages. CoRR Giovanni Paolini, Ben Athiwaratkun, Jason Krone, Jie Ma, Alessandro Achille, Rishita Anubhai, Cícero Nogueira dos Santos, Bing Xiang, Stefano Soatto
2021	—	`conf`	Supporting Clustering with Contrastive Learning. NAACL-HLT Dejiao Zhang, Feng Nan, Xiaokai Wei, Shang-wen Li, Henghui Zhu, Kathleen R. McKeown, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang
2021	J	`jnl`	Supporting Clustering with Contrastive Learning. CoRR Dejiao Zhang, Feng Nan, Xiaokai Wei, Shang-wen Li, Henghui Zhu, Kathleen R. McKeown, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang
2020	J	`jnl`	Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction. CoRR Yifan Gao, Henghui Zhu, Patrick Ng, Cícero Nogueira dos Santos, Zhiguo Wang, Feng Nan, Dejiao Zhang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang
2020	—	`conf`	Augmented Natural Language for Generative Sequence Labeling. EMNLP (1) Ben Athiwaratkun, Cícero Nogueira dos Santos, Jason Krone, Bing Xiang
2020	J	`jnl`	Augmented Natural Language for Generative Sequence Labeling. CoRR Ben Athiwaratkun, Cícero Nogueira dos Santos, Jason Krone, Bing Xiang
2020	—	`conf`	Beyond [CLS] through Ranking by Generation. EMNLP (1) Cícero Nogueira dos Santos, Xiaofei Ma, Ramesh Nallapati, Zhiheng Huang, Bing Xiang
2020	J	`jnl`	Beyond [CLS] through Ranking by Generation. CoRR Cícero Nogueira dos Santos, Xiaofei Ma, Ramesh Nallapati, Zhiheng Huang, Bing Xiang
2020	—	`conf`	Elastic Machine Learning Algorithms in Amazon SageMaker. SIGMOD Conference 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
2020	J	`jnl`	Embedding-based Zero-shot Retrieval through Query Generation. CoRR Davis Liang, Peng Xu, Siamak Shakeri, Cícero Nogueira dos Santos, Ramesh Nallapati, Zhiheng Huang, Bing Xiang
2020	—	`conf`	End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems. EMNLP (1) Siamak Shakeri, Cícero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang
2020	J	`jnl`	End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems. CoRR Siamak Shakeri, Cícero Nogueira dos Santos, Henry Zhu, Patrick Ng, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang
2020	—	`conf`	H2KGAT: Hierarchical Hyperbolic Knowledge Graph Attention Network. EMNLP (1) Shen Wang, Xiaokai Wei, Cícero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang, Philip S. Yu
2020	—	`conf`	Improve Transformer Models with Better Relative Position Embeddings. EMNLP (Findings) Zhiheng Huang, Davis Liang, Peng Xu, Bing Xiang
2020	J	`jnl`	Improve Transformer Models with Better Relative Position Embeddings. CoRR Zhiheng Huang, Davis Liang, Peng Xu, Bing Xiang
2020	J	`jnl`	Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training. CoRR Peng Shi, Patrick Ng, Zhiguo Wang, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Cícero Nogueira dos Santos, Bing Xiang
2020	J	`jnl`	TRANS-BLSTM: Transformer with Bidirectional LSTM for Language Understanding. CoRR Zhiheng Huang, Peng Xu, Davis Liang, Ajay Mishra, Bing Xiang
2020	A*	`conf`	Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering. ACL Alexander R. Fabbri, Patrick Ng, Zhiguo Wang, Ramesh Nallapati, Bing Xiang
2020	J	`jnl`	Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering. CoRR Alexander R. Fabbri, Patrick Ng, Zhiguo Wang, Ramesh Nallapati, Bing Xiang
2020	—	`conf`	Unsupervised Domain Adaptation for Cross-lingual Text Labeling. EMNLP (Findings) Dejiao Zhang, Ramesh Nallapati, Henghui Zhu, Feng Nan, Cícero Nogueira dos Santos, Kathleen R. McKeown, Bing Xiang
2020	A*	`conf`	Who Did They Respond to? Conversation Structure Modeling Using Masked Hierarchical Transformer. AAAI Henghui Zhu, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang
2019	—	`conf`	Domain Adaptation with BERT-based Domain Classification and Data Selection. DeepLo@EMNLP-IJCNLP Xiaofei Ma, Peng Xu, Zhiguo Wang, Ramesh Nallapati, Bing Xiang
2019	—	`conf`	Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering. EMNLP/IJCNLP (1) Zhiguo Wang, Patrick Ng, Xiaofei Ma, Ramesh Nallapati, Bing Xiang
2019	J	`jnl`	Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering. CoRR Zhiguo Wang, Patrick Ng, Xiaofei Ma, Ramesh Nallapati, Bing Xiang
2019	A*	`conf`	OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations. CVPR Pramuditha Perera, Ramesh Nallapati, Bing Xiang
2019	J	`jnl`	OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations. CoRR Pramuditha Perera, Ramesh Nallapati, Bing Xiang
2019	J	`jnl`	Passage Ranking with Weak Supervsion. CoRR Peng Xu, Xiaofei Ma, Ramesh Nallapati, Bing Xiang
2019	—	`conf`	Topic Modeling with Wasserstein Autoencoders. ACL (1) Feng Nan, Ran Ding, Ramesh Nallapati, Bing Xiang
2019	J	`jnl`	Topic Modeling with Wasserstein Autoencoders. CoRR Feng Nan, Ran Ding, Ramesh Nallapati, Bing Xiang
2019	J	`jnl`	Universal Text Representation from BERT: An Empirical Study. CoRR Xiaofei Ma, Zhiguo Wang, Patrick Ng, Ramesh Nallapati, Bing Xiang
2019	J	`jnl`	WeNet: Weighted Networks for Recurrent Network Architecture Search. CoRR Zhiheng Huang, Bing Xiang
2019	J	`jnl`	Who did They Respond to? Conversation Structure Modeling using Masked Hierarchical Transformer. CoRR Henghui Zhu, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang
2018	A*	`conf`	Coherence-Aware Neural Topic Modeling. EMNLP Ran Ding, Ramesh Nallapati, Bing Xiang
2018	J	`jnl`	Coherence-Aware Neural Topic Modeling. CoRR Ran Ding, Ramesh Nallapati, Bing Xiang
2018	—	`conf`	Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering. ACL (2) Rui Zhang, Cícero Nogueira dos Santos, Michihiro Yasunaga, Bing Xiang, Dragomir R. Radev
2018	J	`jnl`	Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering. CoRR Rui Zhang, Cícero Nogueira dos Santos, Michihiro Yasunaga, Bing Xiang, Dragomir R. Radev
2017	—	`conf`	A Structured Self-Attentive Sentence Embedding. ICLR (Poster) Zhouhan Lin, Minwei Feng, Cícero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, Yoshua Bengio
2017	J	`jnl`	A Structured Self-attentive Sentence Embedding. CoRR Zhouhan Lin, Minwei Feng, Cícero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, Yoshua Bengio
2017	A*	`conf`	GaDei: On Scale-Up Training as a Service for Deep Learning. ICDM Wei Zhang, Minwei Feng, Yunhui Zheng, Yufei Ren, Yandong Wang, Ji Liu, Peng Liu, Bing Xiang, Li Zhang, Bowen Zhou, Fei Wang
2017	—	`conf`	Group Sparse CNNs for Question Classification with Answer Sets. ACL (2) Mingbo Ma, Liang Huang, Bing Xiang, Bowen Zhou
2017	J	`jnl`	Group Sparse CNNs for Question Classification with Answer Sets. CoRR Mingbo Ma, Liang Huang, Bing Xiang, Bowen Zhou
2017	—	`conf`	Improved Neural Relation Detection for Knowledge Base Question Answering. ACL (1) Mo Yu, Wenpeng Yin, Kazi Saidul Hasan, Cícero Nogueira dos Santos, Bing Xiang, Bowen Zhou
2017	J	`jnl`	Improved Neural Relation Detection for Knowledge Base Question Answering. CoRR Mo Yu, Wenpeng Yin, Kazi Saidul Hasan, Cícero Nogueira dos Santos, Bing Xiang, Bowen Zhou
2017	A	`conf`	Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks. INTERSPEECH Mingbo Ma, Kai Zhao, Liang Huang, Bing Xiang, Bowen Zhou
2017	J	`jnl`	Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks. CoRR Mingbo Ma, Kai Zhao, Liang Huang, Bing Xiang, Bowen Zhou
2017	A*	`conf`	Neural Models for Sequence Chunking. AAAI Feifei Zhai, Saloni Potdar, Bing Xiang, Bowen Zhou
2017	J	`jnl`	Neural Models for Sequence Chunking. CoRR Feifei Zhai, Saloni Potdar, Bing Xiang, Bowen Zhou
2016	J	`jnl`	ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs. Trans. Assoc. Comput. Linguistics Wenpeng Yin, Hinrich Schütze, Bing Xiang, Bowen Zhou
2016	B	`conf`	Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond. CoNLL Ramesh Nallapati, Bowen Zhou, Cícero Nogueira dos Santos, Çaglar Gülçehre, Bing Xiang
2016	J	`jnl`	Attentive Pooling Networks. CoRR Cícero Nogueira dos Santos, Ming Tan, Bing Xiang, Bowen Zhou
2016	A	`conf`	Distributed Deep Learning for Question Answering. CIKM Minwei Feng, Bing Xiang, Bowen Zhou
2016	J	`jnl`	End-to-End Reading Comprehension with Dynamic Answer Chunk Ranking. CoRR Yang Yu, Wei Zhang, Kazi Saidul Hasan, Mo Yu, Bing Xiang, Bowen Zhou
2016	J	`jnl`	GaDei: On Scale-up Training As A Service For Deep Learning. CoRR Wei Zhang, Minwei Feng, Yunhui Zheng, Yufei Ren, Yandong Wang, Ji Liu, Peng Liu, Bing Xiang, Li Zhang, Bowen Zhou
2016	—	`conf`	Improved Neural Network-based Multi-label Classification with Better Initialization Leveraging Label Co-occurrence. HLT-NAACL Gakuto Kurata, Bing Xiang, Bowen Zhou
2016	—	`conf`	Improved Representation Learning for Question Answer Matching. ACL (1) Ming Tan, Cícero Nogueira dos Santos, Bing Xiang, Bowen Zhou
2016	A	`conf`	Labeled Data Generation with Encoder-Decoder LSTM for Semantic Slot Filling. INTERSPEECH Gakuto Kurata, Bing Xiang, Bowen Zhou
2016	J	`jnl`	Leveraging Sentence-level Information with Encoder LSTM for Natural Language Understanding. CoRR Gakuto Kurata, Bing Xiang, Bowen Zhou, Mo Yu
2016	A*	`conf`	Leveraging Sentence-level Information with Encoder LSTM for Semantic Slot Filling. EMNLP Gakuto Kurata, Bing Xiang, Bowen Zhou, Mo Yu
2016	J	`jnl`	Sequence-to-Sequence RNNs for Text Summarization. CoRR Ramesh Nallapati, Bing Xiang, Bowen Zhou
2016	B	`conf`	Simple Question Answering by Attentive Convolutional Neural Network. COLING Wenpeng Yin, Mo Yu, Bing Xiang, Bowen Zhou, Hinrich Schütze
2016	J	`jnl`	Simple Question Answering by Attentive Convolutional Neural Network. CoRR Wenpeng Yin, Mo Yu, Bing Xiang, Bowen Zhou, Hinrich Schütze
2015	J	`jnl`	ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs. CoRR Wenpeng Yin, Hinrich Schütze, Bing Xiang, Bowen Zhou
2015	J	`jnl`	Applying Deep Learning to Answer Selection: A Study and An Open Task. CoRR Minwei Feng, Bing Xiang, Michael R. Glass, Lidan Wang, Bowen Zhou
2015	C	`conf`	Applying deep learning to answer selection: A study and an open task. ASRU Minwei Feng, Bing Xiang, Michael R. Glass, Lidan Wang, Bowen Zhou
2015	—	`conf`	Classifying Relations by Ranking with Convolutional Neural Networks. ACL (1) Cícero Nogueira dos Santos, Bing Xiang, Bowen Zhou
2015	J	`jnl`	Classifying Relations by Ranking with Convolutional Neural Networks. CoRR Cícero Nogueira dos Santos, Bing Xiang, Bowen Zhou
2015	—	`conf`	Dependency-based Convolutional Neural Networks for Sentence Embedding. ACL (2) Mingbo Ma, Liang Huang, Bowen Zhou, Bing Xiang
2015	J	`jnl`	Distributed Deep Learning for Answer Selection. CoRR Minwei Feng, Bing Xiang, Bowen Zhou
2015	A*	`conf`	Efficient Hyper-parameter Optimization for NLP Applications. EMNLP Lidan Wang, Minwei Feng, Bowen Zhou, Bing Xiang, Sridhar Mahadevan
2015	J	`jnl`	Good, Better, Best: Choosing Word Embedding Context. CoRR James Cross, Bing Xiang, Bowen Zhou
2015	J	`jnl`	LSTM-based Deep Learning Models for non-factoid answer selection. CoRR Ming Tan, Bing Xiang, Bowen Zhou
2015	J	`jnl`	Tree-based Convolution for Sentence Modeling. CoRR Mingbo Ma, Liang Huang, Bowen Zhou, Bing Xiang
2014	—	`conf`	Improving Twitter Sentiment Analysis with Topic-Based Mixture Modeling and Semi-Supervised Training. ACL (2) Bing Xiang, Liang Zhou
2013	A*	`conf`	Anchor Graph: Global Reordering Contexts for Statistical Machine Translation. EMNLP Hendra Setiawan, Bowen Zhou, Bing Xiang
2013	—	`conf`	Enlisting the Ghost: Modeling Empty Categories for Machine Translation. ACL (1) Bing Xiang, Xiaoqiang Luo, Bowen Zhou
2013	J	`jnl`	The IBM speech-to-speech translation system for smartphone: Improvements for resource-constrained tasks. Comput. Speech Lang. 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
2013	—	`conf`	Two-Neighbor Orientation Model with Cross-Boundary Global Contexts. ACL (1) Hendra Setiawan, Bowen Zhou, Bing Xiang, Libin Shen
2011	A*	`conf`	A Correction Model for Word Alignments. EMNLP J. Scott McCarley, Abraham Ittycheriah, Salim Roukos, Bing Xiang, Jian-Ming Xu
2011	—	`conf`	Discriminative Feature-Tied Mixture Modeling for Statistical Machine Translation. ACL (2) Bing Xiang, Abraham Ittycheriah
2011	—	`conf`	IBM Chinese-to-English PatentMT System for NTCIR-9. NTCIR Young-Suk Lee, Bing Xiang, Bing Zhao, Martin Franz, Salim Roukos, Yaser Al-Onaizan
2011	—	`conf`	Improving Reordering for Statistical Machine Translation with Smoothed Priors and Syntactic Features. SSST@ACL Bing Xiang, Niyu Ge, Abraham Ittycheriah
2010	—	`conf`	Diversify and Combine: Improving Word Alignment for Machine Translation on Low-Resource Languages. ACL (2) Bing Xiang, Yonggang Deng, Bowen Zhou
2010	B	`conf`	Feature-Rich Discriminative Phrase Rescoring for SMT. COLING Fei Huang, Bing Xiang
2009	A	`conf`	A study of bootstrapping with multiple acoustic features for improved automatic speech recognition. INTERSPEECH Xiaodong Cui, Jian Xue, Bing Xiang, Bowen Zhou
2009	Misc	`conf`	Advances in syntax-based Malay-English speech translation. ICASSP Bing Xiang, Bowen Zhou, Martin Cmejrek
2009	—	`conf`	Enriching SCFG rules directly from efficient bilingual chart parsing. IWSLT Martin Cmejrek, Bowen Zhou, Bing Xiang
2009	C	`conf`	Towards integrated machine translation using structural alignment from syntax-augmented synchronous parsing. ASRU Bing Xiang, Bowen Zhou, Martin Cmejrek
2008	Misc	`conf`	Developing high performance asr in the IBM multilingual speech-to-speech translation system. ICASSP Xiaodong Cui, Liang Gu, Bing Xiang, Wei Zhang, Yuqing Gao
2008	—	`conf`	Prior Derivation Models For Formally Syntax-Based Translation Using Linguistically Syntactic Parsing and Tree Kernels. SSST@ACL Bowen Zhou, Bing Xiang, Xiaodan Zhu, Yuqing Gao
2008	Misc	`conf`	Unsupervised training for farsi-english speech-to-speech translation. ICASSP Bing Xiang, Yonggang Deng, Yuqing Gao
2007	—	`conf`	Combining Outputs from Multiple Machine Translation Systems. HLT-NAACL Antti-Veikko I. Rosti, Necip Fazil Ayan, Bing Xiang, Spyridon Matsoukas, Richard M. Schwartz, Bonnie J. Dorr
2007	—	`conf`	Integrating Speech Recognition and Machine Translation. ICASSP (4) Spyros Matsoukas, Ivan Bulyko, Bing Xiang, Kham Nguyen, Richard M. Schwartz, John Makhoul
2006	J	`jnl`	Advances in transcription of broadcast news and conversational telephone speech within the combined EARS BBN/LIMSI system. IEEE Trans. Speech Audio Process. 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
2006	—	`conf`	Morphological Decomposition for Arabic Broadcast News Transcription. ICASSP (1) Bing Xiang, Kham Nguyen, Long Nguyen, Richard M. Schwartz, John Makhoul
2005	—	`conf`	Cluster-Dependent Acoustic Modeling. ICASSP (1) Bing Xiang, Long Nguyen, Spyros Matsoukas, Richard M. Schwartz
2005	A	`conf`	Recent progress in Arabic broadcast news transcription at BBN. INTERSPEECH Mohamed Afify, Long Nguyen, Bing Xiang, Sherif M. Abdou, John Makhoul
2005	A	`conf`	The 2004 BBN 1xRT recognition systems for English broadcast news and conversational telephone speech. INTERSPEECH Spyros Matsoukas, Rohit Prasad, Srinivas Laxminarayan, Bing Xiang, Long Nguyen, Richard M. Schwartz
2005	A	`conf`	The BBN Mandarin broadcast news transcription system. INTERSPEECH Bing Xiang, Long Nguyen, Xuefeng Guo, Dongxin Xu
2005	A	`conf`	The BBN RT04 English broadcast news transcription system. INTERSPEECH Long Nguyen, Bing Xiang, Mohamed Afify, Sherif M. Abdou, Spyros Matsoukas, Richard M. Schwartz, John Makhoul
2005	A	`conf`	The effects of speech recognition and punctuation on information extraction performance. INTERSPEECH John Makhoul, Alex Baron, Ivan Bulyko, Long Nguyen, Lance A. Ramshaw, David Stallard, Richard M. Schwartz, Bing Xiang
2004	—	`conf`	Light supervision in acoustic model training. ICASSP (1) Long Nguyen, Bing Xiang
2004	—	`conf`	Speech recognition in multiple languages and domains: the 2003 BBN/LIMSI EARS system. ICASSP (3) 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	J	`jnl`	Efficient text-independent speaker verification with structural Gaussian mixture models and neural network. IEEE Trans. Speech Audio Process. Bing Xiang, Toby Berger
2003	J	`jnl`	Text-independent speaker verification with dynamic trajectory model. IEEE Signal Process. Lett. Bing Xiang
2003	—	`conf`	The SuperSID project: exploiting high-level information for high-accuracy speaker recognition. ICASSP (4) 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
2003	—	`conf`	Using prosodic and conversational features for high-performance speaker recognition: report from JHU WS'02. ICASSP (4) Barbara Peskin, Jirí Navrátil, Joy S. Abramson, Douglas A. Jones, David Klusácek, Douglas A. Reynolds, Bing Xiang
2002	Misc	`conf`	Short-time Gaussianization for robust speaker verification. ICASSP Bing Xiang, Upendra V. Chaudhari, Jirí Navrátil, Ganesh N. Ramaswamy, Ramesh A. Gopinath
2002	A	`conf`	Speaker verification using Gaussian component strings in dynamic trajectory space. INTERSPEECH Bing Xiang
2002	A	`conf`	Structural Gaussian mixture models for efficient text-independent speaker verification. INTERSPEECH Bing Xiang, Toby Berger
2001	Misc	`conf`	Multiple mixture segmental HMM and its applications. ICASSP Bing Xiang, Toby Berger
2000	A	`conf`	Multistage coarticulation model combining articulatory, formant and cepstral features. INTERSPEECH Yuqing Gao, Raimo Bakis, Jing Huang, Bing Xiang
1999	B	`conf`	Auditory model based speech feature extraction and its application to speaker identification. IJCNN Bing Xiang, Xihong Wu, Zhimin Liu, Huisheng Chi