---
title: "Yu Zhang — all works — Elamur Research"
description: "All 41 works of Yu Zhang in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/yu-zhang/works/"
---
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# Yu Zhang — all works

41 works · [← Yu Zhang](https://md.research.elamur.ai/free/en/authors/yu-zhang/)

1. **[SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition](https://md.research.elamur.ai/free/en/papers/park-2019-specaugment-simple-data-augmentation-method/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**Daniel S. Park, William Chan, Yu Zhang, et al.*2019 · 3,837 citations*
2. **[Conformer: Convolution-augmented Transformer for Speech Recognition](https://md.research.elamur.ai/free/en/papers/gulati-2020-conformer-convolution-augmented-transformer-speech/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**Anmol Gulati, James Qin, Chung-Cheng Chiu, et al.*2020 · 3,475 citations*
3. **[Scalability in Perception for Autonomous Driving: Waymo Open Dataset ↗](https://doi.org/10.1109/cvpr42600.2020.00252) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Pei Sun et al.*2020 · 3,397 citations*
4. **[Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions ↗](https://doi.org/10.1109/icassp.2018.8461368) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**Jonathan Shen et al.*2018 · 2,912 citations*
5. **[Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2023-siren-s-song-ai-ocean/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Yue Zhang, Yafu Li, Leyang Cui, et al.*2023 · 977 citations*
6. **[Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks](https://md.research.elamur.ai/free/en/papers/wang-2018-cross-lingual-knowledge-graph-alignment/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhichun Wang, Qingsong Lv, Xiaohan Lan, et al.*2018 · 685 citations*
7. [**MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models arXiv:2309.12284**Longhui Yu, Weisen Jiang, Han Shi, et al.*2023 · 565 citations*](https://md.research.elamur.ai/free/en/papers/yu-2023-metamath-bootstrap-your-own-mathematical/)
8. **[Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis ↗](https://arxiv.org/abs/1806.04558) arXiv (Cornell University) · no summary yet**Jia Ye et al.*2018 · 470 citations*
9. **[FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech](https://md.research.elamur.ai/free/en/papers/conneau-2022-fleurs-few-shot-learning-evaluation/) [IEEE Spoken Language Technology Workshop (SLT)](https://md.research.elamur.ai/free/en/venues/ieee-spoken-language-technology-workshop-slt/)**Alexis Conneau, Min Ma, Simran Khanuja, et al.*2022 · 405 citations*
10. **[Simple Recurrent Units for Highly Parallelizable Recurrence ↗](https://aclanthology.org/D18-1477/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Tao Lei et al.*2018 · 320 citations*
11. **[ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context ↗](https://doi.org/10.21437/interspeech.2020-2059) Interspeech (USB) · no summary yet**Wei Han et al.*2020 · 313 citations*
12. **[Improved Noisy Student Training for Automatic Speech Recognition ↗](https://doi.org/10.21437/interspeech.2020-1470) Interspeech (USB) · no summary yet**Daniel Park et al.*2020 · 251 citations*
13. **[Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition ↗](https://arxiv.org/abs/2010.10504) arXiv (Cornell University) · no summary yet**Yu Zhang et al.*2020 · 233 citations*
14. **[SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing](https://md.research.elamur.ai/free/en/papers/ao-2022-speecht5-unified-modal-encoder-decoder/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junyi Ao, Rui Wang, Long Zhou, et al.*2022 · 219 citations*
15. [**Generating Training Data with Language Models: Towards Zero-Shot Language Understanding arXiv:2202.04538**Yu Meng, Jiaxin Huang, Yu Zhang, et al.*2022 · 210 citations*](https://md.research.elamur.ai/free/en/papers/meng-2022-generating-training-data-language-models/)
16. **[A Streaming On-Device End-To-End Model Surpassing Server-Side Conventional Model Quality and Latency ↗](https://doi.org/10.1109/icassp40776.2020.9054188) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**Tara N. Sainath et al.*2020 · 205 citations*
17. **[Learning to Speak Fluently in a Foreign Language: Multilingual Speech Synthesis and Cross-Language Voice Cloning ↗](https://doi.org/10.21437/interspeech.2019-2668) Interspeech (USB) · no summary yet**Yu Zhang et al.*2019 · 182 citations*
18. **[BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition ↗](https://doi.org/10.1109/jstsp.2022.3182537) IEEE Journal of Selected Topics in Signal Processing · no summary yet**Yu Zhang et al.*2022 · 180 citations*
19. **[Specaugment on Large Scale Datasets ↗](https://doi.org/10.1109/icassp40776.2020.9053205) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**Daniel Park et al.*2020 · 154 citations*
20. [**LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech arXiv:1904.02882**Heiga Zen, Viet Dang, Rob Clark, et al.*2019 · 153 citations*](https://md.research.elamur.ai/free/en/papers/zen-2019-libritts-corpus-derived-librispeech-text/)
21. [**Efficient Second-Order TreeCRF for Neural Dependency Parsing**Yu Zhang, Zhenghua Li, Min Zhang*English · 146 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2020-efficient-second-order-treecrf-neural/)
22. **[mSLAM: Massively multilingual joint pre-training for speech and text ↗](https://arxiv.org/abs/2202.01374) arXiv (Cornell University) · no summary yet**Ankur Bapna et al.*2022 · 99 citations*
23. **[SpeechStew: Simply Mix All Available Speech Recognition Data to Train One Large Neural Network ↗](https://arxiv.org/abs/2104.02133) arXiv (Cornell University) · no summary yet**William Chan et al.*2021 · 92 citations*
24. **[A Comparison of End-to-End Models for Long-Form Speech Recognition ↗](https://doi.org/10.1109/asru46091.2019.9003854) IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) · no summary yet**Chung‐Cheng Chiu et al.*2019 · 90 citations*
25. **[Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs](https://md.research.elamur.ai/free/en/papers/jin-2024-graph-chain-thought-augmenting-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Bowen Jin, Chulin Xie, Jiawei Zhang, et al.*2024 · 89 citations*
26. **[PnG BERT: Augmented BERT on Phonemes and Graphemes for Neural TTS ↗](https://doi.org/10.21437/interspeech.2021-1757) Interspeech (USB) · no summary yet**Jia Ye et al.*2021 · 75 citations*
27. **[SLAM: A Unified Encoder for Speech and Language Modeling via Speech-Text Joint Pre-Training ↗](https://arxiv.org/abs/2110.10329) arXiv (Cornell University) · no summary yet**Ankur Bapna et al.*2021 · 72 citations*
28. **[Deep Reinforcement Learning for Chinese Zero Pronoun Resolution](https://md.research.elamur.ai/free/en/papers/yin-2018-deep-reinforcement-learning-chinese-zero/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qingyu Yin, Yu Zhang, Wei-Nan Zhang, et al.*2018 · 67 citations*
29. **[Hierarchical Generative Modeling for Controllable Speech Synthesis ↗](https://arxiv.org/abs/1810.07217) arXiv (Cornell University) · no summary yet**Wei-Ning Hsu et al.*2018 · 55 citations*
30. **[Chinese Zero Pronoun Resolution with Deep Memory Network](https://md.research.elamur.ai/free/en/papers/yin-2017-chinese-zero-pronoun-resolution-deep/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Qingyu Yin, Yu Zhang, Weinan Zhang, et al.*2017 · 55 citations*
31. **[SLM: Bridge the thin gap between speech and text foundation models](https://md.research.elamur.ai/free/en/papers/wang-2023-slm-bridge-thin-gap-between/) [IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)](https://md.research.elamur.ai/free/en/venues/ieee-automatic-speech-recognition-and-understanding-workshop-asru/)**Mingqiu Wang, Wei Han, Izhak Shafran, et al.*2023 · 54 citations*
32. [**Kimi Linear: An Expressive, Efficient Attention Architecture arXiv:2510.26692**Kimi Team, Yu Zhang, Zongyu Lin, et al.*2025 · 51 citations*](https://md.research.elamur.ai/free/en/papers/kimi-team-2025-kimi-linear-expressive-efficient/)
33. [**RM-R1: Reward Modeling as Reasoning arXiv:2505.02387**Xiusi Chen, Gaotang Li, Ziqi Wang, et al.*2025 · 49 citations*](https://md.research.elamur.ai/free/en/papers/chen-2025-rm-r1-reward-modeling-reasoning/)
34. **[Zero Pronoun Resolution with Attention-based Neural Network](https://md.research.elamur.ai/free/en/papers/yin-2018-zero-pronoun-resolution-attention-based/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Qingyu Yin, Yu Zhang, Weinan Zhang, et al.*2018 · 44 citations*
35. **[Latent Sequence Decompositions ↗](https://arxiv.org/abs/1610.03035) arXiv (Cornell University) · no summary yet**Chan, William et al.*2016 · 42 citations*
36. **[XTREME-S: Evaluating Cross-lingual Speech Representations ↗](https://doi.org/10.21437/interspeech.2022-10007) Interspeech (USB) · no summary yet**Alexis Conneau et al.*2022 · 28 citations*
37. **[Leveraging unsupervised and weakly-supervised data to improve direct speech-to-speech translation ↗](https://doi.org/10.21437/interspeech.2022-10938) Interspeech (USB) · no summary yet**Jia Ye et al.*2022 · 27 citations*
38. **[HIT: Web based Scoring Method for English Lexical Substitution](https://md.research.elamur.ai/free/en/papers/zhao-2007-hit-web-based-scoring-method/) [International Workshop on Semantic Evaluations](https://md.research.elamur.ai/free/en/venues/international-workshop-on-semantic-evaluations/)**Shiqi Zhao, Lin Zhao, Yu Zhang, et al.*2007 · 20 citations*
39. **[Massively Multilingual Shallow Fusion with Large Language Models ↗](https://doi.org/10.1109/icassp49357.2023.10094796) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**Ke Hu et al.*2023 · 17 citations*
40. **[Beyond Unimodal Shortcuts: MLLMs as Cross-Modal Reasoners for Grounded Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/ma-2026-beyond-unimodal-shortcuts-mllms-as/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jinlong Ma, Yu Zhang, Xuefeng Bai, et al.*2026*
41. **[Comprehensive Benchmarking of Long-Form Speech Generation in Diverse Scenarios](https://md.research.elamur.ai/free/en/papers/pan-2026-comprehensive-benchmarking-long-form-speech/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Changhao Pan, Rui Yang, Han Wang, et al.*2026*