---
title: "Who cites Xiaodong Zhang"
description: "172 papers of the Elamur Research library cite the works of Xiaodong Zhang, found in their bibliographies; the most cited first."
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---
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# Who cites Xiaodong Zhang

172 citations of their works from 172 papers of our library (of the 140,884 whose bibliographies we read) · 36 with a page here, the most cited first · [← Xiaodong Zhang](https://md.research.elamur.ai/free/en/authors/xiaodong-zhang/)

1. [**Natural Language Inference by Tree-Based Convolution and Heuristic Matching**Lili Mou, Rui Men, Ge Li, et al.*2016 · 425 citations*](https://md.research.elamur.ai/free/en/papers/mou-2016-natural-language-inference-tree-based/)
2. [**Disentangled Representation Learning for Non-Parallel Text Style Transfer**Vineet John, Lili Mou, Hareesh Bahuleyan, et al.*2019 · 396 citations*](https://md.research.elamur.ai/free/en/papers/john-2019-disentangled-representation-learning-non-parallel/)
3. [**Reformulating Unsupervised Style Transfer as Paraphrase Generation**Kalpesh Krishna, John Wieting, Mohit Iyyer*2020 · 348 citations*](https://md.research.elamur.ai/free/en/papers/krishna-2020-reformulating-unsupervised-style-transfer-as/)
4. [**An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis**Ruidan He, Wee Sun Lee, Hwee Tou Ng, et al.*2019 · 348 citations*](https://md.research.elamur.ai/free/en/papers/he-2019-interactive-multi-task-learning-network/)
5. [**Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation**Ning Dai, Jianze Liang, Xipeng Qiu, et al.*2019 · 300 citations*](https://md.research.elamur.ai/free/en/papers/dai-2019-style-transformer-unpaired-text-style/)
6. [**A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer**Fuli Luo, Peng Li, Jie Zhou, et al.*2019 · 265 citations*](https://md.research.elamur.ai/free/en/papers/luo-2019-dual-reinforcement-learning-framework-unsupervised/)
7. [**“Transforming” Delete, Retrieve, Generate Approach for Controlled Text Style Transfer**Akhilesh Sudhakar, Bhargav Upadhyay, Arjun Maheswaran*2019 · 239 citations*](https://md.research.elamur.ai/free/en/papers/sudhakar-2019-transforming-delete-retrieve-generate-approach/)
8. [**Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer**Fanchao Qi, Yangyi Chen, Xurui Zhang, et al.*2021 · 188 citations*](https://md.research.elamur.ai/free/en/papers/qi-2021-mind-style-text-adversarial-backdoor/)
9. [**Style Transfer as Unsupervised Machine Translation**Zhirui Zhang, Shuo Ren, Shujie Liu, et al.*2018 · 164 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2018-style-transfer-unsupervised-machine-translation/)
10. [**SGM: Sequence Generation Model for Multi-label Classification**Pengcheng Yang, Xu Sun, Wei Li, et al.*2018 · 145 citations*](https://md.research.elamur.ai/free/en/papers/yang-2018-sgm-sequence-generation-model-multi/)
11. [**Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification**Lianhui Qin, Zhisong Zhang, Hai Zhao, et al.*2017 · 144 citations*](https://md.research.elamur.ai/free/en/papers/qin-2017-adversarial-connective-exploiting-networks-implicit/)
12. [**Multi-task Attention-based Neural Networks for Implicit Discourse Relationship Representation and Identification**Man Lan, Jianxiang Wang, Yuanbin Wu, et al.*2017 · 142 citations*](https://md.research.elamur.ai/free/en/papers/lan-2017-multi-task-attention-based-neural/)
13. [**A Recipe For Arbitrary Text Style Transfer with Large Language Models**Emily Reif, Daphne Ippolito, Ann Yuan, et al.*2021 · 125 citations*](https://md.research.elamur.ai/free/en/papers/reif-2021-recipe-arbitrary-text-style-transfer/)
14. [**Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance Network**Jifan Chen, Qi Zhang, Pengfei Liu, et al.*2016 · 114 citations*](https://md.research.elamur.ai/free/en/papers/chen-2016-implicit-discourse-relation-detection-deep/)
15. [**Improving Implicit Discourse Relation Classification by Modeling Inter-dependencies of Discourse Units in a Paragraph**Zeyu Dai, Ruihong Huang*2018 · 95 citations*](https://md.research.elamur.ai/free/en/papers/dai-2018-improving-implicit-discourse-relation-classification/)
16. [**Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label Embeddings**Linh The Nguyen, Linh Van Ngo, Khoat Than, et al.*2019 · 52 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2019-employing-correspondence-relations-connectives-identify/)
17. [**A Modular Architecture for Unsupervised Sarcasm Generation**Abhijit Mishra, Tarun Tater, Karthik Sankaranarayanan*2019 · 51 citations*](https://md.research.elamur.ai/free/en/papers/mishra-2019-modular-architecture-unsupervised-sarcasm-generation/)
18. [**Implicit Discourse Relation Recognition using Neural Tensor Network with Interactive Attention and Sparse Learning**Fengyu Guo, Ruifang He, Di Jin, et al.*2018 · 49 citations*](https://md.research.elamur.ai/free/en/papers/guo-2018-implicit-discourse-relation-recognition-neural/)
19. [**A Regularization Approach for Incorporating Event Knowledge and Coreference Relations into Neural Discourse Parsing**Zeyu Dai, Ruihong Huang*2019 · 46 citations*](https://md.research.elamur.ai/free/en/papers/dai-2019-regularization-approach-incorporating-event-knowledge/)
20. [**DiscoPrompt: Path Prediction Prompt Tuning for Implicit Discourse Relation Recognition**Chunkit Chan, Xin Liu, Jiayang Cheng, et al.*2023 · 45 citations*](https://md.research.elamur.ai/free/en/papers/chan-2023-discoprompt-path-prediction-prompt-tuning/)
21. [**Using active learning to expand training data for implicit discourse relation recognition**Yang Xu, Yu Hong, Huibin Ruan, et al.*2018 · 42 citations*](https://md.research.elamur.ai/free/en/papers/xu-2018-active-learning-expand-training-data/)
22. [**TransS-Driven Joint Learning Architecture for Implicit Discourse Relation Recognition**Ruifang He, Jian Wang, Fengyu Guo, et al.*2020 · 41 citations*](https://md.research.elamur.ai/free/en/papers/he-2020-transs-driven-joint-learning-architecture/)
23. [**Exploring Joint Neural Model for Sentence Level Discourse Parsing and Sentiment Analysis**Bita Nejat, Giuseppe Carenini, Raymond Ng*2017 · 40 citations*](https://md.research.elamur.ai/free/en/papers/nejat-2017-exploring-joint-neural-model-sentence/)
24. [**Discourse Relation Sense Classification Using Cross-argument Semantic Similarity Based on Word Embeddings**Todor Mihaylov, Anette Frank*2016 · 40 citations*](https://md.research.elamur.ai/free/en/papers/mihaylov-2016-discourse-relation-sense-classification-cross/)
25. [**Discourse Relation Prediction: Revisiting Word Pairs with Convolutional Networks**Siddharth Varia, Christopher Hidey, Tuhin Chakrabarty*2019 · 39 citations*](https://md.research.elamur.ai/free/en/papers/varia-2019-discourse-relation-prediction-revisiting-word/)
26. [**Automatic Prediction of Discourse Connectives**Eric Malmi, Daniele Pighin, Sebastian Krause, et al.*2018 · 38 citations*](https://md.research.elamur.ai/free/en/papers/malmi-2018-automatic-prediction-discourse-connectives/)
27. [**Prompt-based Connective Prediction Method for Fine-grained Implicit Discourse Relation Recognition**Hao Zhou, Man Lan, Yuanbin Wu, et al.*2022 · 37 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2022-prompt-based-connective-prediction-method/)
28. [**Learning to Explicitate Connectives with Seq2Seq Network for Implicit Discourse Relation Classification**Wei Shi, Vera Demberg*2019 · 36 citations*](https://md.research.elamur.ai/free/en/papers/shi-2019-learning-explicitate-connectives-seq2seq-network/)
29. [**Interactively-Propagative Attention Learning for Implicit Discourse Relation Recognition**Huibin Ruan, Yu Hong, Yang Xu, et al.*2020 · 35 citations*](https://md.research.elamur.ai/free/en/papers/ruan-2020-interactively-propagative-attention-learning-implicit/)
30. [**Bilingually-constrained Synthetic Data for Implicit Discourse Relation Recognition**Changxing Wu, Xiaodong Shi, Yidong Chen, et al.*2016 · 34 citations*](https://md.research.elamur.ai/free/en/papers/wu-2016-bilingually-constrained-synthetic-data-implicit/)
31. [**Topic Tensor Network for Implicit Discourse Relation Recognition in Chinese**Sheng Xu, Peifeng Li, Fang Kong, et al.*2019 · 31 citations*](https://md.research.elamur.ai/free/en/papers/xu-2019-topic-tensor-network-implicit-discourse/)
32. [**Where Are We in Discourse Relation Recognition?**Katherine Atwell, Junyi Jessy Li, Malihe Alikhani*2021 · 30 citations*](https://md.research.elamur.ai/free/en/papers/atwell-2021-where-are-we-discourse-relation/)
33. [**StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements**Jillian Fisher, Skyler Hallinan, Ximing Lu, et al.*2024 · 16 citations*](https://md.research.elamur.ai/free/en/papers/fisher-2024-styleremix-interpretable-authorship-obfuscation-distillation/)
34. [**CVAE-based Re-anchoring for Implicit Discourse Relation Classification**Zujun Dou, Yu Hong, Yu Sun, et al.*2021 · 16 citations*](https://md.research.elamur.ai/free/en/papers/dou-2021-cvae-based-re-anchoring-implicit/)
35. [**Contextualized Embeddings for Connective Disambiguation in Shallow Discourse Parsing**René Knaebel, Manfred Stede*2020 · 15 citations*](https://md.research.elamur.ai/free/en/papers/knaebel-2020-contextualized-embeddings-connective-disambiguation-shallow/)
36. [**T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation**Anubhav Jangra, Preksha Nema, Aravindan Raghuveer*2022 · 11 citations*](https://md.research.elamur.ai/free/en/papers/jangra-2022-t-star-truthful-style-transfer/)

136 more citing papers of our library have no page here yet.

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