Zhengqing Liu

dblp:278/1603 · DBLP profile ↗
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3ranked-venue papers
1as first author
3since 2021 · last 2026
—ORCID · conflict

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021Computer networks · 1 · 1 since 2021

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.

Artificial intelligence
1 paper
Question answering and dialogue systems · 44% Trustworthy machine learning · 44% Speech recognition and synthesis · 13%
Computer networks
1 paper
Datacenter networks · 44% Internet of things and sensor networks · 44% Network management and operations · 13%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Parallel and multicore computing · 44% Cloud and datacenter computing · 44% Distributed systems · 13%

Topics — the 8 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Trustworthy machine learning
robustness
1.012026
Dual-Axis Generative Reward Model Toward Semantic and Turn-taking Robustness in Interactive Spoken Dialogue Models · ACL (1) 2026
Natural language and speech › Question answering and dialogue systems
spoken dialogue systems
1.012026
Dual-Axis Generative Reward Model Toward Semantic and Turn-taking Robustness in Interactive Spoken Dialogue Models · ACL (1) 2026
Datacenter networks
reconfigurable datacenter network
1.012026
SyncWise: Error-Aware Time Synchronization for Reconfigurable Data Center Networks · NSDI 2026
Internet of things and sensor networks
time synchronization
1.012026
SyncWise: Error-Aware Time Synchronization for Reconfigurable Data Center Networks · NSDI 2026
Parallel and multicore computing › deterministic execution
deterministic parallelism
0.912025
DORADD: Deterministic Parallel Execution in the Era of Microsecond-Scale Computing · PPoPP 2025
Natural language and speech › Speech recognition and synthesis
spoken language understanding
0.312026
Dual-Axis Generative Reward Model Toward Semantic and Turn-taking Robustness in Interactive Spoken Dialogue Models · ACL (1) 2026
Network management and operations › fault management
fault diagnosis
0.312026
SyncWise: Error-Aware Time Synchronization for Reconfigurable Data Center Networks · NSDI 2026
Distributed systems
fault tolerance
0.312025
DORADD: Deterministic Parallel Execution in the Era of Microsecond-Scale Computing · PPoPP 2025

Methods — techniques the papers use, named apart from their topics

generative reward model · 1.0dual-axis evaluation · 1.0runtime synchronization · 0.9
YearPublicationVenuePosition
2026 Dual-Axis Generative Reward Model Toward Semantic and Turn-taking Robustness in Interactive Spoken Dialogue Models
abstract
Yifu Chen, Shengpeng Ji, Zhengqing Liu, Qian Chen, Wen Wang, Ziqing Wang, Yangzhuo Li, Tianle Liang, Zhou Zhao. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.
Shengpeng Ji, Zhengqing Liu, Qian Chen 0003, Wen Wang 0001, Yangzhuo Li, Tianle Liang, Zhou Zhao 0001
ACL (1)3
2026 SyncWise: Error-Aware Time Synchronization for Reconfigurable Data Center Networks
Yiming Lei 0002, Jialong Li 0006, Zhengqing Liu, Raj Joshi, Yiting Xia
NSDI3
2025 DORADD: Deterministic Parallel Execution in the Era of Microsecond-Scale Computing
abstract
Deterministic parallelism is a key building block for distributed and fault-tolerant systems that offers substantial performance benefits while guaranteeing determinism. By studying existing deterministically parallel systems (DPS), we identify certain design pitfalls, such as batched execution and inefficient runtime synchronization, that preclude them from meeting the demands of μs-scale and high-throughput distributed systems deployed in modern datacenters.
Zhengqing Liu, Musa Unal, Matthew J. Parkinson, Marios Kogias
PPoPP1