Demo Data from EDBT 2026 / reviewers in the wild / expert
Yan X. Zhang
dblp:122/3201
· DBLP profile ↗
2ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 since 2021Theory of computation · 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.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Distributed systems · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Distributed systems › consensus
byzantine agreement |
0.5 | 1 | 2021 | Revisiting Optimal Resilience of Fast Byzantine Consensus · PODC 2021 |
Distributed systems › fault tolerance
byzantine fault tolerance |
0.5 | 1 | 2021 | Revisiting Optimal Resilience of Fast Byzantine Consensus · PODC 2021 |
Distributed systems
fault tolerance |
0.5 | 1 | 2021 | Revisiting Optimal Resilience of Fast Byzantine Consensus · PODC 2021 |
Distributed systems › consensus
partial synchrony |
0.1 | 1 | 2021 | Revisiting Optimal Resilience of Fast Byzantine Consensus · PODC 2021 |
Methods — techniques the papers use, named apart from their topics
lower bound proof · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Revisiting Optimal Resilience of Fast Byzantine ConsensusabstractIt is a common belief that Byzantine fault-tolerant solutions for consensus are significantly slower than their crash fault-tolerant counterparts. Indeed, in PBFT, the most widely known Byzantine fault-tolerant consensus protocol, it takes three message delays to decide a value, in contrast with just two in Paxos. This motivates the search for fast Byzantine consensus algorithms that can produce decisions after just two message delays in the common case, e.g., under the assumption that the current leader is correct and not suspected by correct processes. The (optimal) two-step latency comes with the cost of lower resilience: fast Byzantine consensus requires more processes to tolerate the same number of faults. In particular, 5f+1 processes were claimed to be necessary to tolerate f Byzantine failures. In this paper, we present a fast Byzantine consensus algorithm that relies on just 5f-1 processes. Moreover, we show that 5f-1 is the tight lower bound, correcting a mistake in the earlier work. While the difference of just 2 processes may appear insignificant for large values of f, it can be crucial for systems of a smaller scale. In particular, for f=1, our algorithm requires only 4 processes, which is optimal for any (not necessarily fast) partially synchronous Byzantine consensus algorithm. Petr Kuznetsov, Andrei Tonkikh, Yan X. Zhang |
PODC | 3 |
| 2015 | Motors and Impossible Firing Patterns in the Parallel Chip-Firing GameabstractThe parallel chip-firing game is an automaton on graphs in which vertices “fire” chips to their neighbors. This simple model contains much emergent complexity and has many connections to different areas of mathematics. In this work, we study firing sequences, which describe each vertex's interaction with its neighbors in this game. First, we introduce the concepts of motors and motorized games. Motors both generalize the game and allow us to isolate local behavior of the (ordinary) game. We study the effects of motors connected to a tree and show that motorized games can be transformed into ordinary games if the motor's firing sequence occurs in some ordinary game. Then, we completely characterize the periodic firing sequences that can occur in an ordinary game, which have a surprisingly simple combinatorial description. Tian-Yi Jiang, Ziv Scully, Yan X. Zhang |
SIAM J. Discret. Math. | 3 |