--- title: "Lu Zhang — author profile and papers — Elamur Research" description: "Lu Zhang: 3 papers on Elamur Research (2016), h-index 14 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/lu-zhang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/lu-zhang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Lu Zhang # Lu Zhang Lu Zhang has 3 papers in our library, in 2016, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Ge Li](https://md.research.elamur.ai/free/en/authors/ge-li/), [Lili Mou](https://md.research.elamur.ai/free/en/authors/lili-mou/), [Rui Yan](https://md.research.elamur.ai/free/en/authors/rui-yan/). 3 papers in our library · 2016 [OpenAlex](https://openalex.org/A5100388716) · [ORCID](https://orcid.org/0000-0003-4357-2423) · [**h-index 14**](https://openalex.org/authors/A5100388716) · [21 works](https://openalex.org/works?filter=author.id:A5100388716) · [1,246 citations](https://openalex.org/works?filter=author.id:A5100388716&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/lu-zhang/#papers) · [🔗 Cited 226 times in our library](https://md.research.elamur.ai/free/en/authors/lu-zhang/cited-by/) · [⭐ Paper Stars ranking: #2417](https://md.research.elamur.ai/free/en/paper-stars/page/25/#star-2417) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Lu+Zhang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Lu+Zhang) · [dblp](https://dblp.org/search?q=Lu+Zhang) · [ACL Anthology](https://aclanthology.org/search/?q=Lu+Zhang) ## Affiliations [🎓**Peking University** Beijing · China 2015–2022 · 12 papers](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🔬**Institute of Software** Beijing · China 2016 · 2 papers](https://md.research.elamur.ai/free/en/labs/institute-of-software/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed. ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 📚 Shelves 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 1 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2010s [**2016** 3 papers Lu Zhang's papers of 2016](https://md.research.elamur.ai/free/en/authors/lu-zhang/year/2016/) ## Papers The most cited first (OpenAlex and our library). 1. **[Natural Language Inference by Tree-Based Convolution and Heuristic Matching](https://md.research.elamur.ai/free/en/papers/mou-2016-natural-language-inference-tree-based/)** *(2016 · 427 citations)* The paper addresses natural language inference (NLI): deciding whether a hypothesis sentence follows from a premise, contradicts it, or is unrelated to it. 2. **[How Transferable are Neural Networks in NLP Applications?](https://md.research.elamur.ai/free/en/papers/mou-2016-how-transferable-are-neural-networks/)** *(2016 · 327 citations)* Neural NLP models overfit easily when the dataset of interest is small, so reusing knowledge from a larger source dataset is attractive. 3. **[Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation](https://md.research.elamur.ai/free/en/papers/mou-2016-sequence-backward-forward-sequences-content/)** *(2016 · 116 citations)* Neural seq2seq chatbots often produce bland, generic answers. Such replies are frequent in training data, and a short query may give the encoder too little to work with. Mou et al. address this for single-turn short-text conversation by splitting reply generation into two stages. First, a keyword for the reply is… ## Co-authors here 6 co-authors with a page, the most papers together first. - [Ge Li](https://md.research.elamur.ai/free/en/authors/ge-li/) ×3 - [Lili Mou](https://md.research.elamur.ai/free/en/authors/lili-mou/) ×3 - [Rui Yan](https://md.research.elamur.ai/free/en/authors/rui-yan/) ×3 - [Zhi Jin](https://md.research.elamur.ai/free/en/authors/zhi-jin/) ×3 - [Yan Xu](https://md.research.elamur.ai/free/en/authors/yan-xu/) ×2 - [Rui Men](https://md.research.elamur.ai/free/en/authors/rui-men/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2016](https://md.research.elamur.ai/free/en/venues/acl/2016/) - [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/): [COLING 2016](https://md.research.elamur.ai/free/en/venues/coling/2016/) - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2016](https://md.research.elamur.ai/free/en/venues/emnlp/2016/) ## Cited by Papers of our library cite their works 226 times (of the 141,840 papers whose bibliographies we read); [34 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/lu-zhang/cited-by/). Updated 24 October 2026