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Lu Zhang

Lu Zhang has 3 papers in our library, in 2016, most of them on Reasoning; often with Ge Li, Lili Mou, Rui Yan.

3 papers in our library · 2016

OpenAlex · ORCID · h-index 14 · 21 works · 1,246 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 226 times in our library · ⭐ Paper Stars ranking: #2420

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Peking UniversityBeijing · China2015–2022 · 12 papers🔬Institute of SoftwareBeijing · China2016 · 2 papers

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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 works

🧭 Topics 1Research subjects and languages the work is about.Reasoning · 1 work

 Works by year

2010s

20163 papersLu Zhang's papers of 2016

 Papers

The most cited first (OpenAlex and our library).

  1. Natural Language Inference by Tree-Based Convolution and Heuristic Matching (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? (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 (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.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 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 →.

Updated

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