Improved phoneme recognition by integrating evidence from spectro-temporal and cepstral features. - Shang-wen Li 001; Liang-Che Sun; Lin-Shan Lee (INTERSPEECH, 2010)

Multi-stream spectro-temporal and cepstral features based on data-driven hierarchical phoneme clusters. - Shang-wen Li 001; Liang-Che Sun; Lin-Shan Lee (ICASSP, 2011)

Improved Tonal Language Speech Recognition by Integrating Spectro-Temporal Evidence and Pitch Information with Properly Chosen Tonal Acoustic Units. - Shang-wen Li 001; Yow-Bang Wang; Liang-Che Sun; Lin-Shan Lee (INTERSPEECH, 2011)

An Experimental Analysis on Integrating Multi-Stream Spectro-Temporal, Cepstral and Pitch Information for Mandarin Speech Recognition. - Yow-Bang Wang; Shang-wen Li 001; Lin-Shan Lee (IEEE Trans. Speech Audio Process., 2013)

Data-driven interaction techniques for improving navigation of educational videos. - Juho Kim 001; Philip J. Guo; Carrie J. Cai; Shang-Wen (Daniel) Li; Krzysztof Z. Gajos; Robert C. Miller (UIST, 2014)

Learnersourced Recommendations for Remediation. - Shang-Wen (Daniel) Li; Piotr Mitros (ICALT, 2015)

Would Linked MOOC Courseware Enhance Information Search? - Shang-wen Li 001; Victor Zue (ICALT, 2015)

Structuring lectures in massive open online courses (MOOCs) for efficient learning by linking similar sections and predicting prerequisites. - Sheng-syun Shen; Hung-yi Lee; Shang-wen Li 001; Victor Zue; Lin-Shan Lee (INTERSPEECH, 2015)

Linking MOOC courseware to accommodate diverse learner backgrounds. - Shang-wen Li 001; Victor Zue (SLaTE, 2015)

Automated Segmentation of MOOC Lectures towards Customized Learning. - Xiangrong Zhang; Chen Li 011; Shang-wen Li 001; Victor Zue (ICALT, 2016)

Thread Structure Prediction for MOOC Discussion Forum. - Chengjie Sun; Shang-wen Li 001; Lei Lin 001 (ICYCSEE (2), 2016)

Learning Robust Dialog Policies in Noisy Environments. - Maryam Fazel-Zarandi; Shang-Wen Li 001; Jin Cao 003; Jared Casale; Peter Henderson 002; David Whitney; Alborz Geramifard (CoRR, 2017)

Improving learning experience in MOOCs with educational content linking. - Shang-wen Li 001 (2017)

Knowledge Grounded Conversational Symptom Detection with Graph Memory Networks. - Hongyin Luo; Shang-Wen Li 001; James R. Glass (ClinicalNLP@EMNLP, 2020)

Style Attuned Pre-Training and Parameter Efficient Fine-Tuning for Spoken Language Understanding. - Jin Cao 003; Jun Wang; Wael Hamza; Kelly Vanee; Shang-Wen Li 001 (INTERSPEECH, 2020)

Prototypical Q Networks for Automatic Conversational Diagnosis and Few-Shot New Disease Adaption. - Hongyin Luo; Shang-Wen Li 001; James R. Glass (INTERSPEECH, 2020)

Audio ALBERT: A Lite BERT for Self-supervised Learning of Audio Representation. - Po-Han Chi; Pei-Hung Chung; Tsung-Han Wu; Chun-Cheng Hsieh; Shang-wen Li 001; Hung-yi Lee (CoRR, 2020)

Towards Semi-Supervised Semantics Understanding from Speech. - Cheng-I Lai; Jin Cao 003; Sravan Bodapati; Shang-Wen Li 001 (CoRR, 2020)

Improving Learning Experience in MOOCs with Educational Content Linking. - Shang-Wen Li 001 (CoRR, 2020)

Zero-shot Generalization in Dialog State Tracking through Generative Question Answering. - Shuyang Li; Jin Cao 003; Mukund Sridhar; Henghui Zhu; Shang-Wen Li 001; Wael Hamza; Julian J. McAuley (EACL, 2021)

Pairwise Supervised Contrastive Learning of Sentence Representations. - Dejiao Zhang; Shang-Wen Li 001; Wei Xiao 001; Henghui Zhu; Ramesh Nallapati; Andrew O. Arnold; Bing Xiang (EMNLP (1), 2021)

Semi-Supervised Spoken Language Understanding via Self-Supervised Speech and Language Model Pretraining. - Cheng-I Lai; Yung-Sung Chuang; Hung-Yi Lee; Shang-Wen Li 001; James R. Glass (ICASSP, 2021)

Joint Retrieval-Extraction Training for Evidence-Aware Dialog Response Selection. - Hongyin Luo; James R. Glass; Garima Lalwani; Yi Zhang; Shang-Wen Li 001 (Interspeech, 2021)

SUPERB: Speech Processing Universal PERformance Benchmark. - Shu-Wen Yang; Po-Han Chi; Yung-Sung Chuang; Cheng-I Jeff Lai; Kushal Lakhotia; Yist Y. Lin; Andy T. Liu; Jiatong Shi; Xuankai Chang; Guan-Ting Lin; Tzu-Hsien Huang; Wei-Cheng Tseng; et al. (Interspeech, 2021)

Supporting Clustering with Contrastive Learning. - Dejiao Zhang; Feng Nan; Xiaokai Wei; Shang-Wen Li 001; Henghui Zhu; Kathleen R. McKeown; Ramesh Nallapati; Andrew O. Arnold; Bing Xiang (NAACL-HLT, 2021)

Meta Learning to Classify Intent and Slot Labels with Noisy Few Shot Examples. - Shang-Wen Li 001; Jason Krone; Shuyan Dong; Yi Zhang; Yaser Al-Onaizan (SLT, 2021)

Audio Albert: A Lite Bert for Self-Supervised Learning of Audio Representation. - Po-Han Chi; Pei-Hung Chung; Tsung-Han Wu; Chun-Cheng Hsieh; Yen-Hao Chen; Shang-Wen Li 001; Hung-yi Lee (SLT, 2021)

Cooperative Learning of Zero-Shot Machine Reading Comprehension. - Hongyin Luo; Shang-Wen Li 001; Seunghak Yu; James R. Glass (CoRR, 2021)

Meta-learning for downstream aware and agnostic pretraining. - Hongyin Luo; Shuyan Dong; Yung-Sung Chuang; Shang-Wen Li 001 (CoRR, 2021)

Mitigating Biases in Toxic Language Detection through Invariant Rationalization. - Yung-Sung Chuang; Mingye Gao; Hongyin Luo; James R. Glass; Hung-Yi Lee; Yun-Nung Chen; Shang-Wen Li 001 (CoRR, 2021)

TERA: Self-Supervised Learning of Transformer Encoder Representation for Speech. - Andy T. Liu; Shang-Wen Li 001; Hung-yi Lee (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

SUPERB-SG: Enhanced Speech processing Universal PERformance Benchmark for Semantic and Generative Capabilities. - Hsiang-Sheng Tsai; Heng-Jui Chang; Wen-Chin Huang; Zili Huang; Kushal Lakhotia; Shu-Wen Yang; Shuyan Dong; Andy T. Liu; Cheng-I Lai; Jiatong Shi; Xuankai Chang; Phil Hall; et al. (ACL (1), 2022)

An Exploration of Prompt Tuning on Generative Spoken Language Model for Speech Processing Tasks. - Kai-Wei Chang; Wei-Cheng Tseng; Shang-Wen Li 001; Hung-yi Lee (INTERSPEECH, 2022)

Listen, Adapt, Better WER: Source-free Single-utterance Test-time Adaptation for Automatic Speech Recognition. - Guan-Ting Lin; Shang-Wen Li 001; Hung-yi Lee (INTERSPEECH, 2022)

DUAL: Discrete Spoken Unit Adaptive Learning for Textless Spoken Question Answering. - Guan-Ting Lin; Yung-Sung Chuang; Ho-Lam Chung; Shu-Wen Yang; Hsuan-Jui Chen; Shuyan Annie Dong; Shang-Wen Li 001; Abdelrahman Mohamed; Hung-yi Lee; Lin-Shan Lee (INTERSPEECH, 2022)

DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings. - Yung-Sung Chuang; Rumen Dangovski; Hongyin Luo; Yang Zhang 001; Shiyu Chang; Marin Soljacic; Shang-Wen Li 001; Scott Yih; Yoon Kim; James R. Glass (NAACL-HLT, 2022)

Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora. - Xisen Jin; Dejiao Zhang; Henghui Zhu; Wei Xiao 001; Shang-Wen Li 001; Xiaokai Wei; Andrew O. Arnold; Xiang Ren 001 (NAACL-HLT, 2022)

Meta Learning for Natural Language Processing: A Survey. - Hung-yi Lee; Shang-Wen Li 001; Thang Vu (NAACL-HLT, 2022)

Cooperative Self-training of Machine Reading Comprehension. - Hongyin Luo; Shang-Wen Li 001; Mingye Gao; Seunghak Yu; James R. Glass (NAACL-HLT, 2022)

Exploring Efficient-Tuning Methods in Self-Supervised Speech Models. - Zih-Ching Chen; Chin-Lun Fu; Chih-Ying Liu; Shang-Wen (Daniel) Li; Hung-yi Lee (SLT, 2022)

Superb @ SLT 2022: Challenge on Generalization and Efficiency of Self-Supervised Speech Representation Learning. - Tzu-hsun Feng; Shuyan Annie Dong; Ching-Feng Yeh; Shu-Wen Yang; Tzu-Quan Lin; Jiatong Shi; Kai-Wei Chang; Zili Huang; Haibin Wu; Xuankai Chang; Shinji Watanabe 001; Abdelrahman Mohamed; et al. (SLT, 2022)

QaNER: Prompting Question Answering Models for Few-shot Named Entity Recognition. - Andy T. Liu; Wei Xiao 001; Henghui Zhu; Dejiao Zhang; Shang-Wen Li 001; Andrew O. Arnold (CoRR, 2022)

Meta Learning for Natural Language Processing: A Survey. - Hung-yi Lee; Shang-Wen Li 001; Ngoc Thang Vu (CoRR, 2022)

Introducing Semantics into Speech Encoders. - Derek Xu; Shuyan Dong; Changhan Wang; Suyoun Kim; Zhaojiang Lin; Akshat Shrivastava; Shang-Wen Li 001; Liang-Hsuan Tseng; Alexei Baevski; Guan-Ting Lin; Hung-yi Lee; Yizhou Sun; et al. (CoRR, 2022)

Self-Supervised Speech Representation Learning: A Review. - Abdelrahman Mohamed; Hung-yi Lee; Lasse Borgholt; Jakob D. Havtorn; Joakim Edin; Christian Igel; Katrin Kirchhoff; Shang-Wen Li 001; Karen Livescu; Lars Maaløe; Tara N. Sainath; Shinji Watanabe 001 (IEEE J. Sel. Top. Signal Process., 2022)

Expand, Rerank, and Retrieve: Query Reranking for Open-Domain Question Answering. - Yung-Sung Chuang; Wei Fang; Shang-Wen Li 001; Wen-tau Yih; James R. Glass (ACL (Findings), 2023)

Introducing Semantics into Speech Encoders. - Derek Xu; Shuyan Dong; Changhan Wang; Suyoun Kim; Zhaojiang Lin; Bing Liu; Akshat Shrivastava; Shang-Wen Li 001; Liang-Hsuan Tseng; Guan-Ting Lin; Alexei Baevski; Hung-yi Lee; et al. (ACL (1), 2023)

Prompting and Adapter Tuning For Self-Supervised Encoder-Decoder Speech Model. - Kai-Wei Chang; Ming-Hsin Chen; Yun-Ping Lin; Jing Neng Hsu; Paul Kuo-Ming Huang; Chien-Yu Huang; Shang-Wen Li 001; Hung-Yi Lee (ASRU, 2023)

Findings of the 2023 ML-Superb Challenge: Pre-Training And Evaluation Over More Languages And Beyond. - Jiatong Shi; William Chen; Dan Berrebbi; Hsiu-Hsuan Wang; Wei-Ping Huang; En-Pei Hu; Ho-Lam Chuang; Xuankai Chang; Yuxun Tang; Shang-Wen Li 001; Abdelrahman Mohamed; Hung-Yi Lee; et al. (ASRU, 2023)

Flap: Fast Language-Audio Pre-Training. - Ching-Feng Yeh; Po-Yao Huang 001; Vasu Sharma; Shang-Wen Li 001; Gargi Ghosh (ASRU, 2023)

Disentangled Training with Adversarial Examples for Robust Small-Footprint Keyword Spotting. - Zhenyu Wang; Li Wan; Biqiao Zhang; Yiteng Huang; Shang-Wen Li 001; Ming Sun 013; Xin Lei; Zhaojun Yang (ICASSP, 2023)

Syllable Discovery and Cross-Lingual Generalization in a Visually Grounded, Self-Supervised Speech Model. - Puyuan Peng; Shang-Wen Li 001; Okko Räsänen; Abdelrahman Mohamed; David Harwath (INTERSPEECH, 2023)

ML-SUPERB: Multilingual Speech Universal PERformance Benchmark. - Jiatong Shi; Dan Berrebbi; William Chen; En-Pei Hu; Wei-Ping Huang; Ho-Lam Chung; Xuankai Chang; Shang-Wen Li 001; Abdelrahman Mohamed; Hung-yi Lee; Shinji Watanabe 001 (INTERSPEECH, 2023)

Improving Textless Spoken Language Understanding with Discrete Units as Intermediate Target. - Guan-Wei Wu; Guan-Ting Lin; Shang-Wen Li 001; Hung-yi Lee (INTERSPEECH, 2023)

MAViL: Masked Audio-Video Learners. - Po-Yao Huang 001; Vasu Sharma; Hu Xu 001; Chaitanya Ryali; Haoqi Fan 001; Yanghao Li; Shang-Wen Li 001; Gargi Ghosh; Jitendra Malik; Christoph Feichtenhofer (NeurIPS, 2023)

SpeechPrompt v2: Prompt Tuning for Speech Classification Tasks. - Kai-Wei Chang; Yu-Kai Wang; Hua Shen; Iu-thing Kang; Wei-Cheng Tseng; Shang-Wen Li 001; Hung-yi Lee (CoRR, 2023)

Syllable Discovery and Cross-Lingual Generalization in a Visually Grounded, Self-Supervised Speech Mode. - Puyuan Peng; Shang-Wen Li 001; Okko Räsänen; Abdelrahman Mohamed; David Harwath (CoRR, 2023)

Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning. - Lili Yu; Bowen Shi; Ramakanth Pasunuru; Benjamin Muller; Olga Golovneva; Tianlu Wang; Arun Babu; Binh Tang; Brian Karrer; Shelly Sheynin; Candace Ross; Adam Polyak; et al. (CoRR, 2023)

AV-SUPERB: A Multi-Task Evaluation Benchmark for Audio-Visual Representation Models. - Yuan Tseng; Layne Berry; Yi-Ting Chen; I-Hsiang Chiu; Hsuan-Hao Lin; Max Liu; Puyuan Peng; Yi-Jen Shih; Hung-Yu Wang; Haibin Wu; Po-Yao Huang 001; Chun-Mao Lai; et al. (CoRR, 2023)

Findings of the 2023 ML-SUPERB Challenge: Pre-Training and Evaluation over More Languages and Beyond. - Jiatong Shi; William Chen; Dan Berrebbi; Hsiu-Hsuan Wang; Wei-Ping Huang; En-Pei Hu; Ho-Lam Chung; Xuankai Chang; Yuxun Tang; Shang-Wen Li 001; Abdelrahman Mohamed; Hung-yi Lee; et al. (CoRR, 2023)

SD-HuBERT: Self-Distillation Induces Syllabic Organization in HuBERT. - Cheol Jun Cho; Abdelrahman Mohamed; Shang-Wen Li 001; Alan W. Black; Gopala Krishna Anumanchipalli (CoRR, 2023)

An Exploration of In-Context Learning for Speech Language Model. - Ming-Hao Hsu; Kai-Wei Chang; Shang-Wen Li 001; Hung-yi Lee (CoRR, 2023)

VoiceCraft: Zero-Shot Speech Editing and Text-to-Speech in the Wild. - Puyuan Peng; Po-Yao Huang 001; Shang-Wen Li 001; Abdelrahman Mohamed; David Harwath (ACL (1), 2024)

MoDE: CLIP Data Experts via Clustering. - Jiawei Ma; Po-Yao Huang 001; Saining Xie; Shang-Wen Li 001; Luke Zettlemoyer; Shih-Fu Chang; Wen-Tau Yih; Hu Xu 001 (CVPR, 2024)

Altogether: Image Captioning via Re-aligning Alt-text. - Hu Xu 001; Po-Yao Huang 001; Xiaoqing Ellen Tan; Ching-Feng Yeh; Jacob Kahn; Christine Jou; Gargi Ghosh; Omer Levy; Luke Zettlemoyer; Wen-tau Yih; Shang-Wen Li 001; Saining Xie; et al. (EMNLP, 2024)

SD-HuBERT: Sentence-Level Self-Distillation Induces Syllabic Organization in Hubert. - Cheol Jun Cho; Abdelrahman Mohamed; Shang-Wen Li 001; Alan W. Black; Gopala Krishna Anumanchipalli (ICASSP, 2024)

SpeechDPR: End-To-End Spoken Passage Retrieval For Open-Domain Spoken Question Answering. - Chyi-Jiunn Lin; Guan-Ting Lin; Yung-Sung Chuang; Wei-Lun Wu; Shang-Wen Li 001; Abdelrahman Mohamed; Hung-Yi Lee; Lin-Shan Lee (ICASSP, 2024)

AV-SUPERB: A Multi-Task Evaluation Benchmark for Audio-Visual Representation Models. - Yuan Tseng; Layne Berry; Yiting Chen; I-Hsiang Chiu; Hsuan-Hao Lin; Max Liu; Puyuan Peng; Yi-Jen Shih; Hung-Yu Wang; Haibin Wu; Poyao Huang 001; Chun-Mao Lai; et al. (ICASSP, 2024)

Demystifying CLIP Data. - Hu Xu 001; Saining Xie; Xiaoqing Ellen Tan; Po-Yao Huang 001; Russell Howes; Vasu Sharma; Shang-Wen Li 001; Gargi Ghosh; Luke Zettlemoyer; Christoph Feichtenhofer (ICLR, 2024)

Exploring In-Context Learning of Textless Speech Language Model for Speech Classification Tasks. - Kai-Wei Chang; Ming-Hao Hsu; Shang-Wen Li 001; Hung-yi Lee (INTERSPEECH, 2024)

GSQA: An End-to-End Model for Generative Spoken Question Answering. - Min-Han Shih; Ho-Lam Chung; Yu-Chi Pai; Ming-Hao Hsu; Guan-Ting Lin; Shang-Wen Li 001; Hung-yi Lee (INTERSPEECH, 2024)

Text Quality-Based Pruning for Efficient Training of Language Models. - Vasu Sharma; Karthik Padthe; Newsha Ardalani; Kushal Tirumala; Russell Howes; Hu Xu 001; Po-Yao Huang 001; Shang-Wen Li 001; Armen Aghajanyan; Gargi Ghosh; Luke Zettlemoyer (CoRR, 2024)

How to Learn a New Language? An Efficient Solution for Self-Supervised Learning Models Unseen Languages Adaption in Low-Resource Scenario. - Shih-Heng Wang; Zih-Ching Chen; Jiatong Shi; Ming-To Chuang; Guan-Ting Lin; Kuan-Po Huang; David Harwath; Shang-Wen Li 001; Hung-yi Lee (CoRR, 2024)

SpeechPrompt: Prompting Speech Language Models for Speech Processing Tasks. - Kai-Wei Chang; Haibin Wu; Yu-Kai Wang; Yuan-Kuei Wu; Hua Shen; Wei-Cheng Tseng; Iu-thing Kang; Shang-wen Li 001; Hung-Yi Lee (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

A Large-Scale Evaluation of Speech Foundation Models. - Shu-Wen Yang; Heng-Jui Chang; Zili Huang; Andy T. Liu; Cheng-I Lai; Haibin Wu; Jiatong Shi; Xuankai Chang; Hsiang-Sheng Tsai; Wen-Chin Huang; Tzu-hsun Feng; Po-Han Chi; et al. (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

DINOv2: Learning Robust Visual Features without Supervision. - Maxime Oquab; Timothée Darcet; Théo Moutakanni; Huy V. Vo; Marc Szafraniec; Vasil Khalidov; Pierre Fernandez; Daniel Haziza; Francisco Massa; Alaaeldin El-Nouby; Mido Assran; Nicolas Ballas; et al. (Trans. Mach. Learn. Res., 2024)

SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models. - Yung-Sung Chuang; Benjamin Cohen-Wang; Shannon Zejiang Shen; Zhaofeng Wu; Hu Xu 001; Xi Victoria Lin; James R. Glass; Shang-wen Li 001; Wen-tau Yih (CoRR, 2025)

VoiceStar: Robust Zero-Shot Autoregressive TTS with Duration Control and Extrapolation. - Puyuan Peng; Shang-Wen Li 001; Abdelrahman Mohamed; David Harwath (CoRR, 2025)

NaturalThoughts: Selecting and Distilling Reasoning Traces for General Reasoning Tasks. - Yang Li; Youssef Emad; Karthik Padthe; Jack Lanchantin; Weizhe Yuan; Thao Nguyen; Jason Weston; Shang-Wen Li 001; Dong Wang; Ilia Kulikov; Xian Li 003 (CoRR, 2025)

Meta CLIP 2: A Worldwide Scaling Recipe. - Yung-Sung Chuang; Yang Li; Dong Wang; Ching-Feng Yeh; Kehan Lyu; Ramya Raghavendra; James Glass 001; Lifei Huang; Jason Weston; Luke Zettlemoyer; Xinlei Chen; Zhuang Liu; et al. (CoRR, 2025)