Shuo Ren

Affiliations:
  • Chinese Academy of Sciences, nstitute of Automation, Beijing, China
  • Microsoft Research Asia, Beijing, China
  • Beihang University (BUAA), Beijing Advanced Innovation Center for Big Data and Brain Computing, SKLSDE Lab, Beijing, China (PhD 2021)


According to our database1, Shuo Ren authored at least 31 papers between 2016 and 2025.

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Bibliography

2025
Why Do MLLMs Struggle with Spatial Understanding? A Systematic Analysis from Data to Architecture.
CoRR, September, 2025

KTAE: A Model-Free Algorithm to Key-Tokens Advantage Estimation in Mathematical Reasoning.
CoRR, May, 2025

Towards Scientific Intelligence: A Survey of LLM-based Scientific Agents.
CoRR, March, 2025

Beyond One-Size-Fits-All: Adaptive Fine-Tuning for LLMs Based on Data Inherent Heterogeneity.
Proceedings of the Natural Language Processing and Chinese Computing, 2025

Collaborative Beam Search: Enhancing LLM Reasoning via Collective Consensus.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Look Again, Think Slowly: Enhancing Visual Reflection in Vision-Language Models.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Teaching Vision-Language Models to Ask: Resolving Ambiguity in Visual Questions.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
SpeechLM: Enhanced Speech Pre-Training With Unpaired Textual Data.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

2022
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing.
IEEE J. Sel. Top. Signal Process., 2022

TESSP: Text-Enhanced Self-Supervised Speech Pre-training.
CoRR, 2022

KESA: A Knowledge Enhanced Approach For Sentiment Analysis.
CoRR, 2022

Speech Pre-training with Acoustic Piece.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

KESA: A Knowledge Enhanced Approach To Sentiment Analysis.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Optimizing Alignment of Speech and Language Latent Spaces for End-To-End Speech Recognition and Understanding.
Proceedings of the IEEE International Conference on Acoustics, 2022

RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing.
CoRR, 2021

SpeechT5: Unified-Modal Encoder-Decoder Pre-training for Spoken Language Processing.
CoRR, 2021

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

GraphCodeBERT: Pre-training Code Representations with Data Flow.
Proceedings of the 9th International Conference on Learning Representations, 2021

SemFace: Pre-training Encoder and Decoder with a Semantic Interface for Neural Machine Translation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
CodeBLEU: a Method for Automatic Evaluation of Code Synthesis.
CoRR, 2020

Semantic Mask for Transformer Based End-to-End Speech Recognition.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

A Retrieve-and-Rewrite Initialization Method for Unsupervised Machine Translation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

A Graph-based Coarse-to-fine Method for Unsupervised Bilingual Lexicon Induction.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Explicit Cross-lingual Pre-training for Unsupervised Machine Translation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Unsupervised Neural Machine Translation with SMT as Posterior Regularization.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Style Transfer as Unsupervised Machine Translation.
CoRR, 2018

Generative Bridging Network for Neural Sequence Prediction.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Triangular Architecture for Rare Language Translation.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2016
Knowledge-Based Semantic Embedding for Machine Translation.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016


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