Hierarchical Memory Networks for Answer Selection on Unknown Words. - Jiaming Xu 001; Jing Shi 003; Yiqun Yao; Suncong Zheng; Bo Xu 002; Bo Xu 011 (COLING, 2016)

Ensemble of Feature Sets and Classification Methods for Stance Detection. - Jiaming Xu 001; Suncong Zheng; Jing Shi 003; Yiqun Yao; Bo Xu 002 (NLPCC/ICCPOL, 2016)

Modeling Attention and Memory for Auditory Selection in a Cocktail Party Environment. - Jiaming Xu 001; Jing Shi 003; Guangcan Liu; Xiuyi Chen; Bo Xu 002 (AAAI, 2018)

Listen, Think and Listen Again: Capturing Top-down Auditory Attention for Speaker-independent Speech Separation. - Jing Shi 003; Jiaming Xu 001; Guangcan Liu; Bo Xu 002 (IJCAI, 2018)

Distilled Binary Neural Network for Monaural Speech Separation. - Xiuyi Chen; Guangcan Liu; Jing Shi 003; Jiaming Xu 001; Bo Xu 002 (IJCNN, 2018)

Improving Speech Separation with Adversarial Network and Reinforcement Learning. - Guangcan Liu; Jing Shi 003; Xiuyi Chen; Jiaming Xu 001; Bo Xu 002 (IJCNN, 2018)

Learning to activate logic rules for textual reasoning. - Yiqun Yao; Jiaming Xu 001; Jing Shi 003; Bo Xu 002 (Neural Networks, 2018)

Which Ones Are Speaking? Speaker-Inferred Model for Multi-Talker Speech Separation. - Jing Shi 003; Jiaming Xu 001; Bo Xu 011 (INTERSPEECH, 2019)

Concept learning through deep reinforcement learning with memory-augmented neural networks. - Jing Shi 003; Jiaming Xu 001; Yiqun Yao; Bo Xu 002 (Neural Networks, 2019)

Speaker-Conditional Chain Model for Speech Separation and Extraction. - Jing Shi 003; Jiaming Xu 001; Yusuke Fujita; Shinji Watanabe 001; Bo Xu 002 (INTERSPEECH, 2020)

A Unified Framework for Low-Latency Speaker Extraction in Cocktail Party Environments. - Yunzhe Hao; Jiaming Xu 001; Jing Shi 003; Peng Zhang; Lei Qin; Bo Xu 002 (INTERSPEECH, 2020)

Sequence to Multi-Sequence Learning via Conditional Chain Mapping for Mixture Signals. - Jing Shi 003; Xuankai Chang; Pengcheng Guo; Shinji Watanabe 001; Yusuke Fujita; Jiaming Xu 001; Bo Xu 002; Lei Xie 001 (NeurIPS, 2020)

Neural Speaker Diarization with Speaker-Wise Chain Rule. - Yusuke Fujita; Shinji Watanabe 001; Shota Horiguchi; Yawen Xue; Jing Shi 003; Kenji Nagamatsu (CoRR, 2020)

Audio-visual Speech Separation with Adversarially Disentangled Visual Representation. - Peng Zhang; Jiaming Xu 001; Jing Shi 003; Yunzhe Hao; Bo Xu 002 (CoRR, 2020)

The 2020 ESPnet update: new features, broadened applications, performance improvements, and future plans. - Shinji Watanabe 001; Florian Boyer; Xuankai Chang; Pengcheng Guo; Tomoki Hayashi; Yosuke Higuchi; Takaaki Hori; Wen-Chin Huang; Hirofumi Inaguma; Naoyuki Kamo; Shigeki Karita; Chenda Li; et al. (CoRR, 2020)

An Exploration of Self-Supervised Pretrained Representations for End-to-End Speech Recognition. - Xuankai Chang; Takashi Maekaku; Pengcheng Guo; Jing Shi 003; Yen-Ju Lu; Aswin Shanmugam Subramanian; Tianzi Wang; Shu-Wen Yang; Yu Tsao 001; Hung-yi Lee; Shinji Watanabe 001 (ASRU, 2021)

Recent Developments on Espnet Toolkit Boosted By Conformer. - Pengcheng Guo; Florian Boyer; Xuankai Chang; Tomoki Hayashi; Yosuke Higuchi; Hirofumi Inaguma; Naoyuki Kamo; Chenda Li; Daniel Garcia-Romero; Jiatong Shi; Jing Shi 003; Shinji Watanabe 001; et al. (ICASSP, 2021)

Training Noisy Single-Channel Speech Separation with Noisy Oracle Sources: A Large Gap and a Small Step. - Matthew Maciejewski; Jing Shi 003; Shinji Watanabe 001; Sanjeev Khudanpur (ICASSP, 2021)

Audio-Visual Speech Separation with Visual Features Enhanced by Adversarial Training. - Peng Zhang; Jiaming Xu 001; Jing Shi 003; Yunzhe Hao; Lei Qin; Bo Xu 002 (IJCNN, 2021)

ESPnet-SE: End-To-End Speech Enhancement and Separation Toolkit Designed for ASR Integration. - Chenda Li; Jing Shi 003; Wangyou Zhang; Aswin Shanmugam Subramanian; Xuankai Chang; Naoyuki Kamo; Moto Hira; Tomoki Hayashi; Christoph Böddeker; Zhuo Chen 006; Shinji Watanabe 001 (SLT, 2021)

Closing the Gap Between Time-Domain Multi-Channel Speech Enhancement on Real and Simulation Conditions. - Wangyou Zhang; Jing Shi 003; Chenda Li; Shinji Watanabe 001; Yanmin Qian (WASPAA, 2021)

Discretization and Re-synthesis: an alternative method to solve the Cocktail Party Problem. - Jing Shi 003; Xuankai Chang; Tomoki Hayashi; Yen-Ju Lu; Shinji Watanabe 001; Bo Xu 002 (CoRR, 2021)

Unsupervised and Pseudo-Supervised Vision-Language Alignment in Visual Dialog. - Feilong Chen; Duzhen Zhang; Xiuyi Chen; Jing Shi 003; Shuang Xu; Bo Xu 002 (ACM Multimedia, 2022)

Train from scratch: Single-stage joint training of speech separation and recognition. - Jing Shi 003; Xuankai Chang; Shinji Watanabe 001; Bo Xu 002 (Comput. Speech Lang., 2022)

Matching-Based Term Semantics Pre-Training for Spoken Patient Query Understanding. - Zefa Hu; Xiuyi Chen; Haoran Wu; Minglun Han; Ziyi Ni; Jing Shi 003; Shuang Xu; Bo Xu 002 (ICASSP, 2023)

Enhancing Visual Question Answering via Deconstructing Questions and Explicating Answers. - Feilong Chen; Minglun Han; Jing Shi 003; Shuang Xu; Bo Xu 002 (INTERSPEECH, 2023)

Knowledge Transfer from Pre-trained Language Models to Cif-based Speech Recognizers via Hierarchical Distillation. - Minglun Han; Feilong Chen; Jing Shi 003; Shuang Xu; Bo Xu 002 (INTERSPEECH, 2023)

X-LLM: Bootstrapping Advanced Large Language Models by Treating Multi-Modalities as Foreign Languages. - Feilong Chen; Minglun Han; Haozhi Zhao; Qingyang Zhang; Jing Shi 003; Shuang Xu; Bo Xu 002 (CoRR, 2023)

Mixture of personality improved Spiking actor network for efficient multi-agent cooperation. - Xiyun Li; Ziyi Ni; Jingqing Ruan; Linghui Meng 001; Jing Shi 003; Tielin Zhang; Bo Xu 002 (CoRR, 2023)

ViLaS: Integrating Vision and Language into Automatic Speech Recognition. - Minglun Han; Feilong Chen; Ziyi Ni; Linghui Meng 001; Jing Shi 003; Shuang Xu; Bo Xu 002 (CoRR, 2023)

A dilemma of ground truth in noisy speech separation and an approach to lessen the impact of imperfect training data. - Matthew Maciejewski; Jing Shi 003; Shinji Watanabe 001; Sanjeev Khudanpur (Comput. Speech Lang., 2023)

Local-to-Global Causal Reasoning for Cross-Document Relation Extraction. - Haoran Wu; Xiuyi Chen; Zefa Hu; Jing Shi 003; Shuang Xu; Bo Xu 002 (IEEE CAA J. Autom. Sinica, 2023)

VLP: A Survey on Vision-language Pre-training. - Feilong Chen; Duzhen Zhang; Minglun Han; Xiuyi Chen; Jing Shi 003; Shuang Xu; Bo Xu 002 (Int. J. Autom. Comput., 2023)

ViLaS: Exploring the Effects of Vision and Language Context in Automatic Speech Recognition. - Ziyi Ni; Minglun Han; Feilong Chen; Linghui Meng 001; Jing Shi 003; Pin Lv; Bo Xu 002 (ICASSP, 2024)

A Knowledge-enhanced Two-stage Generative Framework for Medical Dialogue Information Extraction. - Zefa Hu; Ziyi Ni; Jing Shi 003; Shuang Xu; Bo Xu 002 (Mach. Intell. Res., 2024)