Jie Han

Electrical and Electronic Engineering · IEEE transactions on computers · 2013–2015

A researcher in the Science corpus: 4 papers; trusts 10 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 19 citations into it; #3,309 of 16,539 by trust here, #10,998 by citations
• Hardware and Architecture — 10 citations into it
• Biomedical Engineering — 5 citations into it; #8,605 of 10,734 by trust here, #10,638 by citations

Whom Jie Han trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Parag Kulkarni
2. Andrew B. Kahng
3. Vaibhav Gupta
4. Puneet Gupta
5. Milos D. Ercegovac
6. Debabrata Mohapatra
7. Bradley D. Brown
8. Chip-Hong Chang
9. Fabrizio Lombardi
10. Anand Raghunathan

Who trusts Jie Han overall

1. Soheil Hashemi
2. Suganthi Venkatachalam
3. Cong Liu
4. Qiang Xu
5. Seok-Bum Ko
6. Fabrizio Lombardi
7. Todd Mytkowicz

Papers from Jie Han's perspective

Ordered by how strongly the researchers Jie Han trusts endorse each paper. Same corpus, a different order for every researcher.

1. Variable Latency Speculative Addition: A New Paradigm for Arithmetic Circuit Design (Design, Automation and Test in Europe)
2. Trading Accuracy for Power with an Underdesigned Multiplier Architecture (2011 24th Internatioal Conference on VLSI Design)
3. Bio-Inspired Imprecise Computational Blocks for Efficient VLSI Implementation of Soft-Computing Applications (IEEE Transactions on Circuits and Systems Part 1: Regular Papers)
4. IMPACT: IMPrecise adders for low-power approximate computing (IEEE/ACM International Symposium on Low Power Electronics and Design)
5. ERSA: Error Resilient System Architecture for probabilistic applications (Design, Automation and Test in Europe)
6. Probabilistic Logic and the Synthesis of Reliable Organisms from Unreliable Components
7. SALSA: Systematic logic synthesis of approximate circuits (DAC Design Automation Conference 2012)
8. Architecture support for disciplined approximate programming (ASPLOS XVII)
9. Stochastic Neural Computation I: Computational Elements (IEEE Trans. Computers)
10. An Architecture for Fault-Tolerant Computation with Stochastic Logic (IEEE transactions on computers)

Their papers

• Approximate computing: An emerging paradigm for energy-efficient design (2013) — 1,073 citations
• New Metrics for the Reliability of Approximate and Probabilistic Adders (2013) — 560 citations
• A low-power, high-performance approximate multiplier with configurable partial error recovery (2014) — 304 citations
• Design and Analysis of Approximate Compressors for Multiplication (2015) — 560 citations