Demo Data from EDBT 2026 / reviewers in the wild / expert
Xiru Zhang
dblp:47/2389
· DBLP profile ↗
4ranked-venue papers
4as first author
0since 2021 · last 1993
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 2 · 2 first-authorArtificial intelligence and machine learning · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
2 papers |
Bioinformatics and computational biology · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
2 papers |
Parallel and multicore computing · 100% | |
| Artificial intelligence
1 paper |
Deep learning architectures and training · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
protein structure analysis |
0.0 | 1 | 1993 | Automatic Derivation of Substructures Yields Novel Structural Building Blocks in Globular Proteins · ISMB 1993 |
Machine learning › Deep learning architectures and training
backpropagation |
0.0 | 1 | 1989 | An Efficient Implementation of the Back-propagation Algorithm on the Connection Machine CM-2 · NIPS 1989 |
Bioinformatics and computational biology
protein structure prediction |
0.0 | 1 | 1989 | Protein structure prediction by a data-level parallel algorithm · SC 1989 |
Parallel and multicore computing › parallel computing › parallel machine learning
parallel neural network training |
0.0 | 1 | 1989 | An Efficient Implementation of the Back-propagation Algorithm on the Connection Machine CM-2 · NIPS 1989 |
Parallel and multicore computing
parallel algorithms |
0.0 | 1 | 1989 | Protein structure prediction by a data-level parallel algorithm · SC 1989 |
Methods — techniques the papers use, named apart from their topics
memory-based reasoning · 0.0data-level parallelism · 0.0backpropagation · 0.0substructure derivation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1993 | Automatic Derivation of Substructures Yields Novel Structural Building Blocks in Globular Proteins
Xiru Zhang, Jacquelyn S. Fetrow, William A. Rennie, David L. Waltz, George Berg |
ISMB | 1 |
| 1990 | The backpropagation algorithm on grid and hypercube architectures
Xiru Zhang, Michael McKenna, Jill P. Mesirov, David L. Waltz |
Parallel Comput. | 1 |
| 1989 | An Efficient Implementation of the Back-propagation Algorithm on the Connection Machine CM-2
Xiru Zhang, Michael McKenna, Jill P. Mesirov, David L. Waltz |
NIPS | 1 |
| 1989 | Protein structure prediction by a data-level parallel algorithmabstractWe have developed a software system, PHI-PSI, on the Connection Machine that uses a parallel algorithm to retrieve and use information from a database of 112 known protein structures (selected from the Brookhaven Protein Databank) to predict the structures of other proteins. The φ and ψ angles of each amino acid (the angles each amino acid forms with its immediate neighbors) in a protein are used to represent its 3-D structure. PHI-PSI's algorithm is based on the idea of Memory-based reasoning (MBR) [10] and extends it to include a recursive procedure to refine its initial prediction and a “window” of varying sizes to look at different contexts of an input. PHI-PSI has been tested with all the available data. Initial results show that it performs better than distribution-based guesses for most of the φ and ψ angle values. Xiru Zhang, David L. Waltz, Jill P. Mesirov |
SC | 1 |