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Xiyuan Zhu

dblp:248/4835 · DBLP profile ↗
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3ranked-venue papers
1as first author
2since 2021 · last 2026
—ORCID · conflict

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

Computer networks · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 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.

Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%

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

TopicWeightPapersLastEvidence papers
Visualization and visual analytics
text visualization
1.012026
Conch: Competitive Debate Analysis via Visualizing Clash Points and Hierarchical Strategies · IEEE Trans. Vis. Comput. Graph. 2026
Visualization and visual analytics › visual analytics
visual analytics for education
0.312026
Conch: Competitive Debate Analysis via Visualizing Clash Points and Hierarchical Strategies · IEEE Trans. Vis. Comput. Graph. 2026

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

prompt engineering · 1.0parallel spiral visualization · 1.0large language model · 1.0
YearPublicationVenuePosition
2026 Conch: Competitive Debate Analysis via Visualizing Clash Points and Hierarchical Strategies
abstract
In-depth analysis of competitive debates is essential for participants to develop argumentative skills and refine strategies, and further improve their debating performance. However, manual analysis of unstructured and unlabeled textual records of debating is time-consuming and ineffective, as it is challenging to reconstruct contextual semantics and track logical connections from raw data. To address this, we propose Conch, an interactive visualization system that systematically analyzes both what is debated and how it is debated. In particular, we propose a novel parallel spiral visualization that compactly traces the multidimensional evolution of clash points and participant interactions throughout debate process. In addition, we leverage large language models with well-designed prompts to automatically identify critical debate elements such as clash points, disagreements, viewpoints, and strategies, enabling participants to understand the debate context comprehensively. Finally, through two case studies on real-world debates and a carefully-designed user study, we demonstrate Conch's effectiveness and usability for competitive debate analysis.
Qianhe Chen, Yong Wang 0021, Yixin Yu 0001, Xiyuan Zhu, Xuerou Yu, Ran Wang 0005
IEEE Trans. Vis. Comput. Graph.4
2024 Experimental Evaluation of OTFS for Underwater Acoustic Communications
abstract
This paper applies the Orthogonal Time-Frequency Space (OTFS) modulation to underwater mobile acoustic communications where the communication channel suffers from severe multipath and Doppler effects simultaneously. Field experiments have been conducted with acoustic transmission at a center frequency of 115 kHz and a data rate of 11.5 kilosymbols per second. We propose a new Turbo Decision Feedback Equalizer and Decoder (TDFED) for the receiver and the experimental results demonstrate the superior performance of the proposed TDFED algorithm over existing MMSE equalizers.
Yukang Xue, Xiyuan Zhu, Uzma Khan, Yahong Rosa Zheng
VTC Fall2
2019 Underwater Datalogger for Accurate Position and Location Estmation and Tracking
abstract
In this poster, we show the design of an underwater datalogger that can achieve accurate position and location estimation and tracking on the order of centimeters. The prototype of underwater datalogger utilizes a 9-axis inertial measurement unit (IMU) and a microcontroller, which is housed in a sphere with a diameter of 11 cm. A novel calibration procedure is developed to achieve the accuracy and precision which is of great importance in civil engineering experiments that measure water flow and sediment movement.
Xiyuan Zhu, Wurong Shih, Yahong Rosa Zheng
SECON1