🧑‍🔬 Shujian Huang — all works

32 works · ← Shujian Huang

1. Deep Matrix Factorization Models for Recommender Systems ↗International Joint Conference on Artificial Intelligence · no summary yetHong-Jian Xue et al.2017 · 936 citations
2. Findings of the 2017 Conference on Machine Translation (WMT17)Conference on Machine Translation (WMT)Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al.2017 · 691 citations
3. Multilingual Machine Translation with Large Language Models: Empirical Results and AnalysisFindings of the Association for Computational LinguisticsWenhao Zhu, Hongyi Liu, Qingxiu Dong, et al.2024 · 506 citations
4. Target-oriented Opinion Words Extraction with Target-fused Neural Sequence LabelingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Zhifang Fan, Zhen Wu, Xin-Yu Dai, et al.2019 · 291 citations
5. Improved Neural Machine Translation with a Syntax-Aware Encoder and DecoderAnnual Meeting of the Association for Computational Linguistics (ACL)Huadong Chen, Shujian Huang, David Chiang, et al.2017 · 192 citations
6. Generating Sentences from Disentangled Syntactic and Semantic SpacesAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Bao, Hao Zhou, Shujian Huang, et al.2019 · 154 citations
7. Adaptive Nearest Neighbor Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Xin Zheng, Zhirui Zhang, Junliang Guo, et al.2021 · 120 citations
8. Rethinking Document-level Neural Machine TranslationFindings of the Association for Computational LinguisticsZewei Sun, Mingxuan Wang, Hao Zhou, et al.2022 · 107 citations
9. Automated Cross-prompt Scoring of Essay Traits ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetRobert Ridley et al.2021 · 107 citations
10. Eliciting the Translation Ability of Large Language Models via Multilingual Finetuning with Translation InstructionsTransactions of the Association for Computational Linguistics (TACL)Jiahuan Li, Hao Zhou, Shujian Huang, et al.2024 · 99 citations
11. A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily ↗arXiv:2311.08268 · no summary yetPeng Ding et al.2023 · 85 citations
12. A Reinforced Generation of Adversarial Examples for Neural Machine Translation ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetWei Zou et al.2020 · 79 citations
13. Extrapolating Large Language Models to Non-English by Aligning Languages ↗arXiv:2308.04948 · no summary yetWenhao Zhu et al.2023 · 71 citations
14. MAPO: Advancing Multilingual Reasoning through Multilingual-Alignment-as-Preference OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Shuaijie She, Wei Zou, Shujian Huang, et al.2024 · 59 citations
15. A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily ↗Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yetPeng Ding et al.2024 · 55 citations
16. DirectQE: Direct Pretraining for Machine Translation Quality Estimation ↗arXiv:2105.07149 · no summary yetQu Cui et al.2021 · 34 citations
17. BLEURT Has Universal Translations: An Analysis of Automatic Metrics by Minimum Risk Training ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetYiming Yan et al.2023 · 32 citations
18. Lost in the Source Language: How Large Language Models Evaluate the Quality of Machine Translation ↗Findings of the Association for Computational Linguistics: ACL 2024 · no summary yetXu Huang et al.2024 · 29 citations
19. SLAM: Towards Efficient Multilingual Reasoning via Selective Language AlignmentInternational Conference on Computational Linguistics (COLING)Yuchun Fan, Yongyu Mu, YiLin Wang, et al.2025 · 20 citations
20. R-PRM: Reasoning-Driven Process Reward ModelingConference on Empirical Methods in Natural Language Processing (EMNLP)Shuaijie She, Junxiao Liu, Yifeng Liu, et al.2025 · 18 citations
21. Could Thinking Multilingually Empower LLM Reasoning?arXiv:2504.11833Changjiang Gao, Xu Huang, Wenhao Zhu, et al.2025 · 10 citations
22. Unify Word-level and Span-level Tasks: NJUNLP's Participation for the WMT2023 Quality Estimation Shared Task ↗Proceedings of the Eighth Conference on Machine Translation · no summary yetXiang Geng et al.2023 · 7 citations
23. CrossQE: HW-TSC 2022 Submission for the Quality Estimation Shared Task ↗Proceedings of the Seventh Conference on Machine Translation (WMT) · no summary yetShimin Tao et al.2022 · 7 citations
24. NJUNLP's Participation for the WMT2022 Quality Estimation Shared Task ↗Proceedings of the Seventh Conference on Machine Translation (WMT) · no summary yetXiang Geng et al.2022 · 6 citations
25. Alleviating Distribution Shift in Synthetic Data for Machine Translation Quality Estimation ↗Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetXiang Geng et al.2025 · 5 citations
26. ExpLang: Improved Exploration and Exploitation in LLM Reasoning with On-Policy Thinking Language SelectionarXiv:2602.21887Changjiang Gao, Zixian Huang, Kaichen Yang, et al.2026 · 4 citations
27. Improved Pseudo Data for Machine Translation Quality Estimation with Constrained Beam Search ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetXiang Geng et al.2023 · 4 citations
28. Dealing with Spurious Ambiguity in Learning ITG-based Word Alignment ↗Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies · no summary yetShujian Huang, Stephan Vogel, Jiajun Chen2011 · 4 citations
29. FGraDA: A Dataset and Benchmark for Fine-Grained Domain Adaptation in Machine Translation ↗Proceedings of the Thirteenth Language Resources and Evaluation Conference · no summary yetWenhao Zhu et al.2022 · 3 citations
30. PEGRL: Improving Machine Translation by Post-Editing Guided Reinforcement LearningFindings of the Association for Computational LinguisticsYunzhi Shen, Hao Zhou, Xin Huang, et al.2026
31. Unlocking Fine-Grained Translation Quality Estimation in LRMs through Mutually Boosting Implicit and Explicit Reasoning ↗arXiv:2605.31378 · no summary yetRenfei Dang et al.2026
32. IMTLab: An Open-Source Platform for Building, Evaluating, and Diagnosing Interactive Machine Translation Systems ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetXu Huang et al.2023

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