Question Solved

How do I write an effective abstract for a conference submission? (75)

Back to Forum
Growing 130 pts 0 followers
R.V. College of Engineering · Posted
Computer Vision Entrepreneurship & Innovation

Context

I am preparing to submit my first research paper to a Q1 journal (IEEE Transactions on Neural Networks). This will be my first submission and I am unsure about a few things.

Questions:

  1. Is it mandatory to submit the code and dataset along with the paper, or is that only required upon acceptance?
  2. My results show a 2.3% improvement over the SOTA baseline. Is that considered significant enough?
  3. How long does the review process typically take for IEEE Transactions journals?

I have read the author guidelines but they are somewhat ambiguous on point 1. Would appreciate guidance from anyone who has published in similar venues.

Sign in to interact

Sign in to join the discussion.

10 Replies

Oldest Top
0
Meghana Rao Growing 170 pts · Accepted answer

I found that writing a paper abstract first (before the paper) and then reverse-engineering the paper from the abstract helped with clarity enormously.

0
Replying to Meghana Rao
Varsha Pillai Growing 60 pts · Accepted answer

This is exactly what I needed to hear. One clarifying question: you mentioned FedProx handles non-IID data better.does that mean I should switch to FedProx by default, or only if I observe poor convergence with FedAvg first?

0
Replying to Meghana Rao
Quamar Ahmed Growing 65 pts · Accepted answer

I found that writing a paper abstract first (before the paper) and then reverse-engineering the paper from the abstract helped with clarity enormously.

0
Eshan Patil Growing 70 pts · Accepted answer

The short answer: it depends heavily on the journal and field, but here is a general framework.

If your null result is well-powered and the hypothesis was reasonable: Absolutely publish it. Null results in well-designed studies are as valuable as positive results. Journals like PLOS ONE explicitly welcome them.

If your study is underpowered: Be transparent about it. Report effect sizes and confidence intervals, not just p-values. A small, underpowered study with honest reporting is still a contribution.

What kills papers is when limitations are obvious but the authors have not addressed them.

0
Replying to Eshan Patil
Eshan Patil Growing 70 pts · Accepted answer

Seconding the recommendation for Zotero. Game changer for managing references across multiple projects.

0
Replying to Eshan Patil
Arjun Venkatesan Growing 195 pts · Accepted answer

Really appreciate you taking the time to write this out in detail. This is going straight into my research notes.

0
Replying to Eshan Patil
Ishaan Verma Growing 60 pts · Accepted answer

CSIR-UGC NET preparation: past papers are the most important resource. Everything else is secondary.

0
Neha Agarwal Growing 90 pts · Accepted answer

Check whether your institution has a Springer/Elsevier waiver agreement.many NITs and IITs do.

0
Asha Pillai Distinguished 880 pts · Accepted answer

I have successfully received PMRF (lateral entry, second year). Happy to share what worked in my proposal.

On the research proposal:

  • 60–70% technical approach, 30% context and impact
  • Preliminary results absolutely help. Coursework projects are fine if genuinely relevant
  • The societal impact section should be substantive.PMRF is a national initiative; reviewers want to see why this matters

On citations: Yes, cite your MTech thesis. Framing your PhD as an extension of prior work you did shows continuity of thought.

0
Prakash Iyer Distinguished 640 pts · Accepted answer

This is exactly what I needed to hear. One clarifying question: you mentioned FedProx handles non-IID data better.does that mean I should switch to FedProx by default, or only if I observe poor convergence with FedAvg first?