Probabilistic Speaker-Class based Acoustic Modeling for Large Vocabulary Continuous Speech Recognition. - Xiangang Li; Dan Su; Zaihu Pang; Xihong Wu (INTERSPEECH, 2012)

Lightly Supervised Acoustic Model Training for Mandarin Continuous Speech Recognition. - Xiangang Li; Zaihu Pang; Xihong Wu (IScIDE, 2012)

The effect of part-of-speech on Mandarin speech recognition. - Caixia Gong; Xiangang Li; Xihong Wu (APSIPA, 2013)

Deep neural networks for syllable based acoustic modeling in Chinese speech recognition. - Xiangang Li; Caifu Hong; Yuning Yang; Xihong Wu (APSIPA, 2013)

Overview of SHRC-Ginkgo speech synthesis system for Blizzard Challenge 2013. - Yansuo Yu; Fengyun Zhu; Xiangang Li; Yi Liu; Jun Zou; Yuning Yang; Guilin Yang; Ziye Fan; Xihong Wu (Blizzard Challenge, 2013)

A Comparative Study on Selecting Acoustic Modeling Units in Deep Neural Networks Based Large Vocabulary Chinese Speech Recognition. - Xiangang Li; Yuning Yang; Xihong Wu (IScIDE, 2013)

Query-based composition for large-scale language model in LVCSR. - Yang Han; Chenwei Zhang; Xiangang Li; Yi Liu; Xihong Wu (ICASSP, 2014)

Recurrent neural network language model with part-of-speech for Mandarin speech recognition. - Caixia Gong; Xiangang Li; Xihong Wu (ISCSLP, 2014)

Labeling unsegmented sequence data with DNN-HMM and its application for speech recognition. - Xiangang Li; Xihong Wu (ISCSLP, 2014)

Decision tree based state tying for speech recognition using DNN derived embeddings. - Xiangang Li; Xihong Wu (ISCSLP, 2014)

Error-driven pronunciation dictionary construction for Mandarin speech recognition. - Yi Liu; Xiangang Li; Xihong Wu (ISCSLP, 2014)

Integrating prosodic information into recurrent neural network language model for speech recognition. - Tong Fu; Yang Han; Xiangang Li; Yi Liu; Xihong Wu (APSIPA, 2015)

Chinese syllable-to-character conversion with recurrent neural network based supervised sequence labelling. - Yi Liu; Jing Hua 008; Xiangang Li; Tong Fu; Xihong Wu (APSIPA, 2015)

Constructing long short-term memory based deep recurrent neural networks for large vocabulary speech recognition. - Xiangang Li; Xihong Wu (ICASSP, 2015)

Improving long short-term memory networks using maxout units for large vocabulary speech recognition. - Xiangang Li; Xihong Wu (ICASSP, 2015)

Modeling speaker variability using long short-term memory networks for speech recognition. - Xiangang Li; Xihong Wu (INTERSPEECH, 2015)

Long short-term memory based convolutional recurrent neural networks for large vocabulary speech recognition. - Xiangang Li; Xihong Wu (INTERSPEECH, 2015)

I-vector dependent feature space transformations for adaptive speech recognition. - Xiangang Li; Xihong Wu (INTERSPEECH, 2015)

A comparative study on selecting acoustic modeling units in deep neural networks based large vocabulary Chinese speech recognition. - Xiangang Li; Yuning Yang; Zaihu Pang; Xihong Wu (Neurocomputing, 2015)

Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin. - Dario Amodei; Sundaram Ananthanarayanan; Rishita Anubhai; Jingliang Bai; Eric Battenberg; Carl Case; Jared Casper; Bryan Catanzaro; Jingdong Chen; Mike Chrzanowski; Adam Coates 002; Greg Diamos; et al. (ICML, 2016)

Gram-CTC: Automatic Unit Selection and Target Decomposition for Sequence Labelling. - Hairong Liu; Zhenyao Zhu; Xiangang Li; Sanjeev Satheesh (ICML, 2017)

Deep Speaker: an End-to-End Neural Speaker Embedding System. - Chao Li; Xiaokong Ma; Bing Jiang; Xiangang Li; Xuewei Zhang; Xiao Liu; Ying Cao; Ajay Kannan; Zhenyao Zhu (CoRR, 2017)

Implicit Discourse Relation Recognition using Neural Tensor Network with Interactive Attention and Sparse Learning. - Fengyu Guo; Ruifang He; Di Jin 001; Jianwu Dang 001; Longbiao Wang; Xiangang Li (COLING, 2018)

Interaction-Aware Topic Model for Microblog Conversations through Network Embedding and User Attention. - Ruifang He; Xuefei Zhang; Di Jin 001; Longbiao Wang; Jianwu Dang 001; Xiangang Li (COLING, 2018)

Speech Emotion Recognition by Combining Amplitude and Phase Information Using Convolutional Neural Network. - Lili Guo; Longbiao Wang; Jianwu Dang 001; Linjuan Zhang; Haotian Guan; Xiangang Li (INTERSPEECH, 2018)

Multiple Phase Information Combination for Replay Attacks Detection. - Dongbo Li; Longbiao Wang; Jianwu Dang 001; Meng Liu 017; Zeyan Oo; Seiichi Nakagawa; Haotian Guan; Xiangang Li (INTERSPEECH, 2018)

Pitch Synchronized Relative Phase with Peak Error Detection For Noise-robust Speaker Recognition. - Meng Ge; Longbiao Wang; Seiichi Nakagawa; Yuta Kawakami; Jianwu Dang 001; Xiangang Li (ISCSLP, 2018)

An Analysis of Decoding for Attention-Based End-to-End Mandarin Speech Recognition. - Dongwei Jiang; Wei Zou; Shuaijiang Zhao; Guilin Yang; Xiangang Li (ISCSLP, 2018)

Comparable Study Of Modeling Units For End-To-End Mandarin Speech Recognition. - Wei Zou; Dongwei Jiang; Shuaijiang Zhao; Guilin Yang; Xiangang Li (ISCSLP, 2018)

A comparable study of modeling units for end-to-end Mandarin speech recognition. - Wei Zou; Dongwei Jiang; Shuaijiang Zhao; Xiangang Li (CoRR, 2018)

Towards End-to-End Code-Switching Speech Recognition. - Ne Luo; Dongwei Jiang; Shuaijiang Zhao; Caixia Gong; Wei Zou; Xiangang Li (CoRR, 2018)

Deep Segment Attentive Embedding for Duration Robust Speaker Verification. - Bin Liu 041; Shuai Nie; Wenju Liu; Hui Zhang; Xiangang Li; Changliang Li (APSIPA, 2019)

The TJU-Didi-Huiyan system for Blizzard Challenge 2019. - Ju Zhang 001; Shaotong Guo; Cheng Gong; Shuaiting Chen; Yuguang Wang 003; Longbiao Wang; Wei Zou; Xiangang Li (Blizzard Challenge, 2019)

Replay Attack Detection Using Magnitude and Phase Information with Attention-based Adaptive Filters. - Meng Liu 017; Longbiao Wang; Jianwu Dang 001; Seiichi Nakagawa; Haotian Guan; Xiangang Li (ICASSP, 2019)

NVSRN: A Neural Variational Scaling Reasoning Network for Initiative Response Generation. - Jinxin Chang; Ruifang He; Haiyang Xu 001; Kun Han; Longbiao Wang; Xiangang Li; Jianwu Dang 001 (ICDM, 2019)

Learning Syntactic and Dynamic Selective Encoding for Document Summarization. - Haiyang Xu 001; Yahao He; Kun Han; Junwen Chen; Xiangang Li (IJCNN, 2019)

Environment-Dependent Attention-Driven Recurrent Convolutional Neural Network for Robust Speech Enhancement. - Meng Ge; Longbiao Wang; Nan Li; Hao Shi; Jianwu Dang 001; Xiangang Li (INTERSPEECH, 2019)

Learning Alignment for Multimodal Emotion Recognition from Speech. - Haiyang Xu 001; Hui Zhang; Kun Han; Yun Wang; Yiping Peng; Xiangang Li (INTERSPEECH, 2019)

DELTA: A DEep learning based Language Technology plAtform. - Kun Han; Junwen Chen; Hui Zhang; Haiyang Xu 001; Yiping Peng; Yun Wang; Ning Ding; Hui Deng; Yonghu Gao; Tingwei Guo; Yi Zhang; Yahao He; et al. (CoRR, 2019)

Improving Transformer-based Speech Recognition Using Unsupervised Pre-training. - Dongwei Jiang; Xiaoning Lei; Wubo Li; Ne Luo; Yuxuan Hu; Wei Zou; Xiangang Li (CoRR, 2019)

Cross-task pre-training for acoustic scene classification. - Ruixiong Zhang; Wei Zou; Xiangang Li (CoRR, 2019)

TCT: A Cross-supervised Learning Method for Multimodal Sequence Representation. - Wubo Li; Wei Zou; Xiangang Li (CoRR, 2019)

DNN-based Mask Estimation Integrating Spectral and Spatial Features for Robust Beamforming. - Chengyun Deng; Hui Song; Yi Zhang; Yongtao Sha; Xiangang Li (ICASSP, 2020)

Selective Attention Encoders by Syntactic Graph Convolutional Networks for Document Summarization. - Haiyang Xu 001; Yun Wang; Kun Han; Baochang Ma; Junwen Chen; Xiangang Li (ICASSP, 2020)

Conv-TasSAN: Separative Adversarial Network Based on Conv-TasNet. - Chengyun Deng; Yi Zhang; Shiqian Ma; Yongtao Sha; Hui Song; Xiangang Li (INTERSPEECH, 2020)

TMT: A Transformer-Based Modal Translator for Improving Multimodal Sequence Representations in Audio Visual Scene-Aware Dialog. - Wubo Li; Dongwei Jiang; Wei Zou; Xiangang Li (INTERSPEECH, 2020)

Generative Adversarial Network Based Acoustic Echo Cancellation. - Yi Zhang; Chengyun Deng; Shiqian Ma; Yongtao Sha; Hui Song; Xiangang Li (INTERSPEECH, 2020)

On Loss Functions and Recurrency Training for GAN-Based Speech Enhancement Systems. - Zhuohuang Zhang; Chengyun Deng; Yi Shen 008; Donald S. Williamson; Yongtao Sha; Yi Zhang; Hui Song; Xiangang Li (INTERSPEECH, 2020)

DiDi's Machine Translation System for WMT2020. - Tanfang Chen; Weiwei Wang; Wenyang Wei; Xing Shi; Xiangang Li; Jieping Ye; Kevin Knight (WMT@EMNLP, 2020)

Adversarial Multi-Binary Neural Network for Multi-class Classification. - Haiyang Xu 001; Junwen Chen; Kun Han; Xiangang Li (CoRR, 2020)

A Further Study of Unsupervised Pre-training for Transformer Based Speech Recognition. - Dongwei Jiang; Wubo Li; Ruixiong Zhang; Miao Cao; Ne Luo; Yang Han; Wei Zou; Xiangang Li (CoRR, 2020)

Speech SIMCLR: Combining Contrastive and Reconstruction Objective for Self-supervised Speech Representation Learning. - Dongwei Jiang; Wubo Li; Miao Cao; Ruixiong Zhang; Wei Zou; Kun Han; Xiangang Li (CoRR, 2020)

Didispeech: A Large Scale Mandarin Speech Corpus. - Tingwei Guo; Cheng Wen 004; Dongwei Jiang; Ne Luo; Ruixiong Zhang; Shuaijiang Zhao; Wubo Li; Cheng Gong; Wei Zou; Kun Han; Xiangang Li (ICASSP, 2021)

A Further Study of Unsupervised Pretraining for Transformer Based Speech Recognition. - Dongwei Jiang; Wubo Li; Ruixiong Zhang; Miao Cao; Ne Luo; Yang Han; Wei Zou; Kun Han; Xiangang Li (ICASSP, 2021)

Transformer Based Unsupervised Pre-Training for Acoustic Representation Learning. - Ruixiong Zhang; Haiwei Wu; Wubo Li; Dongwei Jiang; Wei Zou; Xiangang Li (ICASSP, 2021)

GigaSpeech: An Evolving, Multi-Domain ASR Corpus with 10, 000 Hours of Transcribed Audio. - Guoguo Chen; Shuzhou Chai; Guan-Bo Wang; Jiayu Du; Wei-Qiang Zhang; Chao Weng; Dan Su 002; Daniel Povey; Jan Trmal; Junbo Zhang; Mingjie Jin; Sanjeev Khudanpur; et al. (Interspeech, 2021)

Speech SimCLR: Combining Contrastive and Reconstruction Objective for Self-Supervised Speech Representation Learning. - Dongwei Jiang; Wubo Li; Miao Cao; Wei Zou; Xiangang Li (Interspeech, 2021)

Semantic Data Augmentation for End-to-End Mandarin Speech Recognition. - Jianwei Sun; Zhiyuan Tang; Hengxin Yin; Wei Wang; Xi Zhao; Shuaijiang Zhao; Xiaoning Lei; Wei Zou; Xiangang Li (Interspeech, 2021)

Order-aware Pairwise Intoxication Detection. - Meng Ge; Ruixiong Zhang; Wei Zou; Xiangang Li; Cheng Gong; Longbiao Wang; Jianwu Dang 001 (ISCSLP, 2021)

KeSpeech: An Open Source Speech Dataset of Mandarin and Its Eight Subdialects. - Zhiyuan Tang; Dong Wang 013; Yanguang Xu; Jianwei Sun; Xiaoning Lei; Shuaijiang Zhao; Cheng Wen 004; Xingjun Tan; Chuandong Xie; Shuran Zhou; Rui Yan; Chenjia Lv; et al. (NeurIPS Datasets and Benchmarks, 2021)

GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10, 000 Hours of Transcribed Audio. - Guoguo Chen; Shuzhou Chai; Guanbo Wang; Jiayu Du; Wei-Qiang Zhang; Chao Weng; Dan Su 002; Daniel Povey; Jan Trmal; Junbo Zhang; Mingjie Jin; Sanjeev Khudanpur; et al. (CoRR, 2021)

Time Domain Adversarial Voice Conversion for ADD 2022. - Cheng Wen 004; Tingwei Guo; Xingjun Tan; Rui Yan; Shuran Zhou; Chuandong Xie; Wei Zou; Xiangang Li (ICASSP, 2022)

Audio-Visual Wake Word Spotting System for MISP Challenge 2021. - Yanguang Xu; Jianwei Sun; Yang Han; Shuaijiang Zhao; Chaoyang Mei; Tingwei Guo; Shuran Zhou; Chuandong Xie; Wei Zou; Xiangang Li (ICASSP, 2022)

Audio Deepfake Detection System with Neural Stitching for ADD 2022. - Rui Yan; Cheng Wen 004; Shuran Zhou; Tingwei Guo; Wei Zou; Xiangang Li (ICASSP, 2022)

To Answer or Not To Answer? Improving Machine Reading Comprehension Model with Span-based Contrastive Learning. - Yunjie Ji; Liangyu Chen; Chenxiao Dou; Baochang Ma; Xiangang Li (NAACL-HLT (Findings), 2022)

BEIKE NLP at SemEval-2022 Task 4: Prompt-Based Paragraph Classification for Patronizing and Condescending Language Detection. - Yong Deng; Chenxiao Dou; Liangyu Chen; Deqiang Miao; Xianghui Sun; Baochang Ma; Xiangang Li (SemEval@NAACL, 2022)

Audio Deep Fake Detection System with Neural Stitching for ADD 2022. - Rui Yan; Cheng Wen 004; Shuran Zhou; Tingwei Guo; Wei Zou; Xiangang Li (CoRR, 2022)

Domain-Adapted Dependency Parsing for Cross-Domain Named Entity Recognition. - Chenxiao Dou; Xianghui Sun; Yaoshu Wang; Yunjie Ji; Baochang Ma; Xiangang Li (AAAI, 2023)

Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module. - Linzhi Huang; Yulong Li; Hongbo Tian; Yue Yang; Xiangang Li; Weihong Deng; Jieping Ye (CVPR, 2023)

Exploring ChatGPT's Ability to Rank Content: A Preliminary Study on Consistency with Human Preferences. - Yunjie Ji; Yan Gong; Yiping Peng; Chao Ni 008; Peiyan Sun; Dongyu Pan; Baochang Ma; Xiangang Li (CoRR, 2023)

Exploring the Impact of Instruction Data Scaling on Large Language Models: An Empirical Study on Real-World Use Cases. - Yunjie Ji; Yong Deng; Yan Gong; Yiping Peng; Qiang Niu; Lei Zhang; Baochang Ma; Xiangang Li (CoRR, 2023)

CornerFormer: Boosting Corner Representation for Fine-Grained Structured Reconstruction. - Hongbo Tian; Yulong Li; Linzhi Huang; Yue Yang; Xiangang Li; Weihong Deng (CoRR, 2023)

Towards Better Instruction Following Language Models for Chinese: Investigating the Impact of Training Data and Evaluation. - Yunjie Ji; Yan Gong; Yong Deng; Yiping Peng; Qiang Niu; Baochang Ma; Xiangang Li (CoRR, 2023)

A Comparative Study between Full-Parameter and LoRA-based Fine-Tuning on Chinese Instruction Data for Instruction Following Large Language Model. - Xianghui Sun; Yunjie Ji; Baochang Ma; Xiangang Li (CoRR, 2023)

A Compensation Method in Magnetic Distortion Through Regularized Inverse Problems. - Youyu Yan; Shenggang Yan; Jianguo Liu; Xiangang Li; Siyuan Shen (IEEE Trans. Instrum. Meas., 2023)

OpenChat: Advancing Open-source Language Models with Mixed-Quality Data. - Guan Wang; Sijie Cheng; Xianyuan Zhan; Xiangang Li; Sen Song; Yang Liu 165 (ICLR, 2024)

Advancing Speech Language Models by Scaling Supervised Fine-Tuning with Over 60,000 Hours of Synthetic Speech Dialogue Data. - Shuaijiang Zhao; Tingwei Guo; Bajian Xiang; Tongtang Wan; Qiang Niu; Wei Zou; Xiangang Li (CoRR, 2024)

An Effective Magnetic Anomaly Detection Using Orthonormal Basis of Magnetic Gradient Tensor Invariants. - Youyu Yan; Jianguo Liu; Shenggang Yan; Siyuan Shen; Xiangang Li (IEEE Trans. Geosci. Remote. Sens., 2024)

Memorizing is Not Enough: Deep Knowledge Injection Through Reasoning. - Ruoxi Xu; Yunjie Ji; Boxi Cao; Yaojie Lu 001; Hongyu Lin; Xianpei Han; Ben He; Yingfei Sun; Xiangang Li; Le Sun 001 (ACL (1), 2025)

Can large language models independently complete tasks? A dynamic evaluation framework for multi-turn task planning and completion. - Jun Gao; Junlin Cui; Huijia Wu; Liuyu Xiang; Han Zhao; Xiangang Li; Meng Fang; Yaodong Yang 001; Zhaofeng He (Neurocomputing, 2025)

1.4 Million Open-Source Distilled Reasoning Dataset to Empower Large Language Model Training. - Han Zhao; Haotian Wang; Yiping Peng; Sitong Zhao; Xiaoyu Tian; Shuaiting Chen; Yunjie Ji; Xiangang Li (CoRR, 2025)

Think Twice: Enhancing LLM Reasoning by Scaling Multi-round Test-time Thinking. - Xiaoyu Tian; Sitong Zhao; Haotian Wang; Shuaiting Chen; Yunjie Ji; Yiping Peng; Han Zhao; Xiangang Li (CoRR, 2025)

How Difficulty-Aware Staged Reinforcement Learning Enhances LLMs' Reasoning Capabilities: A Preliminary Experimental Study. - Yunjie Ji; Sitong Zhao; Xiaoyu Tian; Haotian Wang; Shuaiting Chen; Yiping Peng; Han Zhao; Xiangang Li (CoRR, 2025)

Leveraging Reasoning Model Answers to Enhance Non-Reasoning Model Capability. - Haotian Wang; Han Zhao; Shuaiting Chen; Xiaoyu Tian; Sitong Zhao; Yunjie Ji; Yiping Peng; Xiangang Li (CoRR, 2025)

SARI: Structured Audio Reasoning via Curriculum-Guided Reinforcement Learning. - Cheng Wen 004; Tingwei Guo; Shuaijiang Zhao; Wei Zou; Xiangang Li (CoRR, 2025)

DeepDistill: Enhancing LLM Reasoning Capabilities via Large-Scale Difficulty-Graded Data Training. - Xiaoyu Tian; Sitong Zhao; Haotian Wang; Shuaiting Chen; Yiping Peng; Yunjie Ji; Han Zhao; Xiangang Li (CoRR, 2025)

Exploring the Potential of Offline RL for Reasoning in LLMs: A Preliminary Study. - Xiaoyu Tian; Sitong Zhao; Haotian Wang; Shuaiting Chen; Yiping Peng; Yunjie Ji; Han Zhao; Xiangang Li (CoRR, 2025)

AM-Thinking-v1: Advancing the Frontier of Reasoning at 32B Scale. - Yunjie Ji; Xiaoyu Tian; Sitong Zhao; Haotian Wang; Shuaiting Chen; Yiping Peng; Han Zhao; Xiangang Li (CoRR, 2025)

Not All Correct Answers Are Equal: Why Your Distillation Source Matters. - Xiaoyu Tian; Yunjie Ji; Haotian Wang; Shuaiting Chen; Sitong Zhao; Yiping Peng; Han Zhao; Xiangang Li (CoRR, 2025)

AttentionGS: Towards Initialization-Free 3D Gaussian Splatting via Structural Attention. - Ziao Liu; Zhenjia Li; Yifeng Shi; Xiangang Li (CoRR, 2025)

SpeakerLM: End-to-End Versatile Speaker Diarization and Recognition with Multimodal Large Language Models. - Han Yin; Yafeng Chen; Chong Deng; Luyao Cheng; Hui Wang 030; Chao-Hong Tan; Qian Chen 003; Wen Wang 001; Xiangang Li (CoRR, 2025)

MME-Emotion: A Holistic Evaluation Benchmark for Emotional Intelligence in Multimodal Large Language Models. - Fan Zhang; Zebang Cheng; Chong Deng; Haoxuan Li; Zheng Lian; Qian Chen; Huadai Liu; Wen Wang; Yifan Zhang 004; Renrui Zhang; Ziyu Guo; Zhihong Zhu; et al. (CoRR, 2025)