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Demo Data from SIGIR 2026 / reviewers in the wild / expert

Jia Xiong

dblp:71/6489 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2026
—ORCID · unresolved

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 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.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Electronic design automation · 100%
Artificial intelligence
1 paper
Language models and text generation · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Electronic design automation
high-level synthesis		 1.012026
ChatHLS: Towards Systematic Design Automation and Optimization for High-Level Synthesis · ACL (1) 2026
Natural language and speech › Language models and text generation
design automation		 0.312026
ChatHLS: Towards Systematic Design Automation and Optimization for High-Level Synthesis · ACL (1) 2026

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

large language model · 2.0
YearPublicationVenuePosition
2026 ChatHLS: Towards Systematic Design Automation and Optimization for High-Level Synthesis
abstract
Runkai Li, Jia Xiong, Xiuyuan He, Jieru Zhao, Jiaqi Lv, Haowen Fang, Lei Qi, Xi Wang. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.
Runkai Li, Jia Xiong, Xiuyuan He, Jieru Zhao, Haowen Fang, Lei Qi 0001, Xi Wang 0009
 ACL (1)2
2023 Optimization Control Strategy for Electrolysis Efficiency Enhancement in Alkaline Water Electrolyzers
abstract
Alkaline water electrolyzers (AWEs) are widely utilized in the field of industrial electrolysis due to their low cost, simple structure, and mature technology. However, the low-load inefficiency of AWEs hinders the ability to effectively follow the fluctuating renewable energy in full range. Focusing on this issue, this paper reveals the electrolysis mechanism from the perspective of the distribution of the electric field. Moreover, an optimal power pulse-width modulation (OP-PWM) strategy is proposed to reconstruct the electric field under the low load state. Experimental results show that the OP-PWM strategy can greatly improve low-load electrolysis efficiency compared to the conventional dc power electrolysis mode.
Jia Xiong, Yanghong Xia, Yukai Han, Wei Wei 0024
 IECON1