Demo Data from VLDB 2026 / reviewers in the wild / expert
Liangliang Tong
dblp:37/3306
· DBLP profile ↗
4ranked-venue papers
2as first author
0since 2021 · last 2013
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 2 · 2 first-authorSystems, architecture and hardware · 1Human-computer interaction and ubiquitous computing · 1
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.
| Software engineering, system software, and programming languages
1 paper |
Compilers and program optimization · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Embedded and real-time systems · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Compilers and program optimization
loop transformation |
0.1 | 1 | 2008 | Power-Aware Code Restructuring for Embedded Parallel Storing Device · PerCom 2008 |
Embedded and real-time systems
embedded storage |
0.0 | 1 | 2008 | Power-Aware Code Restructuring for Embedded Parallel Storing Device · PerCom 2008 |
Methods — techniques the papers use, named apart from their topics
static analysis · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Skew-space garbage collection
Liangliang Tong, Francis C. M. Lau 0001 |
Sci. Comput. Program. | 1 |
| 2010 | Index-Compact Garbage Collection
Liangliang Tong, Francis C. M. Lau 0001 |
APLAS | 1 |
| 2009 | L1 Collective Cache: Managing Shared Data for Chip Multiprocessors
Guanjun Jiang, Degui Feng, Liangliang Tong, Lingxiang Xiang, Chao Wang 0058, Tianzhou Chen |
APPT | 3 |
| 2008 | Power-Aware Code Restructuring for Embedded Parallel Storing DeviceabstractIn order to cope with the energy challenge emerging with the process of parallelism in embedded storing device, this paper focuses on the static code restructuring of nested loop array accessing related to storing device. Departing the running time of different devices can extend the duration time when it is in low- power state. Experiment shows that power-aware code restructuring can effectively reduce state switching times and extra power wasted. Static method described in this paper can achieve up to 12% power reduction if it cooperates with proper dynamic method. Bin Xie 0002, Qingsong Shi, Liangliang Tong, Jiangwei Huang, Xinliang Wu, Tianzhou Chen |
PerCom | 3 |