Demo Data from EDBT 2026 / reviewers in the wild / expert
Zixuan Ling
dblp:351/5611
· DBLP profile ↗
5ranked-venue papers
1as first author
5since 2021 · last 2025
0009-0006-2154-6944ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 3 · 3 since 2021Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 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
3 papers |
Language models and text generation · 55% Efficient and distributed learning · 29% Question answering and dialogue systems · 16% |
Topics — the 7 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Question answering and dialogue systems › question generation
clarifying question |
0.9 | 1 | 2025 | Learning to Ask: When LLM Agents Meet Unclear Instruction · EMNLP 2025 |
Natural language and speech › Language models and text generation
LLM agents |
0.9 | 1 | 2025 | Learning to Ask: When LLM Agents Meet Unclear Instruction · EMNLP 2025 |
Natural language and speech › Language models and text generation
alignment |
0.8 | 1 | 2024 | Aligning Large Language Models with Human Preferences through Representation Engineering · ACL (1) 2024 |
Machine learning › Efficient and distributed learning
model compression |
0.8 | 1 | 2024 | Advancing Parameter Efficiency in Fine-tuning via Representation Editing · ACL (1) 2024 |
Machine learning › Efficient and distributed learning
parameter-efficient fine-tuning |
0.8 | 1 | 2024 | Advancing Parameter Efficiency in Fine-tuning via Representation Editing · ACL (1) 2024 |
Natural language and speech › Language models and text generation › alignment
preference alignment |
0.8 | 1 | 2024 | Aligning Large Language Models with Human Preferences through Representation Engineering · ACL (1) 2024 |
Natural language and speech › Language models and text generation
large language model |
0.5 | 2 | 2025 | Learning to Ask: When LLM Agents Meet Unclear Instruction · EMNLP 2025 Advancing Parameter Efficiency in Fine-tuning via Representation Editing · ACL (1) 2024 |
Methods — techniques the papers use, named apart from their topics
interactive question asking · 0.9representation engineering · 0.8representation editing · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Learning to Ask: When LLM Agents Meet Unclear InstructionabstractWenxuan Wang, Shi Juluan, Zixuan Ling, Yuk-Kit Chan, Chaozheng Wang, Cheryl Lee, Youliang Yuan, Jen-tse Huang, Wenxiang Jiao, Michael R. Lyu. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. 2025. Wenxuan Wang 0001, Juluan Shi, Zixuan Ling, Yuk-Kit Chan, Chaozheng Wang, Cheryl Lee, Youliang Yuan, Jen-tse Huang 0001, Wenxiang Jiao, Michael R. Lyu |
EMNLP | 3 |
| 2024 | Aligning Large Language Models with Human Preferences through Representation EngineeringabstractWenhao Liu, Xiaohua Wang, Muling Wu, Tianlong Li, Changze Lv, Zixuan Ling, Zhu JianHao, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2024. Muling Wu, Tianlong Li, Changze Lv, Zixuan Ling, Jianhao Zhu, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang 0001 |
ACL (1) | 6 |
| 2024 | Advancing Parameter Efficiency in Fine-tuning via Representation EditingabstractMuling Wu, Wenhao Liu, Xiaohua Wang, Tianlong Li, Changze Lv, Zixuan Ling, Zhu JianHao, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2024. Muling Wu, Tianlong Li, Changze Lv, Zixuan Ling, Jianhao Zhu, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang 0001 |
ACL (1) | 6 |
| 2024 | Design and Implementation of Optical Fiber-based Visible Light Communication SystemabstractThe rapid evolution of next-generation communi¬cation technology has underscored the critical challenge of spectrum resource scarcity. Visible light communication (VLC) is widely recognized as a promising solution to tackle this issue. Benefits from the rich spectrum resources and no electromagnetic interference radiation, VLC can be widely used in various indoor communication scenarios. However, the accessing of the existing network for the VLC system still remains a challenge. Thus, an optical fiber-based VLC structure is proposed to unlock traditional network cable transmission for the first time. Specifically, an optoelectronic media converter is designed to efficiently connect the fiber signal and the desired electrical signal. Moreover, an analog equalizer with low implementation complexity is exploited to extend the LED bandwidth, ensuring transmitted signals without distortion. It is worth noting that the VLC receiver adopts the auto gain control amplifier to meet the signal voltage requirement of the Ethernet physical layer. Experimental testbed is conducted and corresponding results demonstrated that the transmission rate of the proposed VLC system can reach 100Mbps with sufficiently low bit error rate. Therefore, this validates the capability of the proposed system to directly connect the VLC access point with the existing optical network facilities. Zixuan Ling, Xuanbang Chen, Yuhao Wang 0001, Xun Zhang 0002, Xiaodong Liu 0006, Zhenghai Wang |
ISCAS | 1 |
| 2023 | A Novel Differential Phase of Arrival-based Experimental Visible Light Positioning SystemabstractVisible light positioning (VLP) as a promising technology can provide high-precision indoor positioning services without electromagnetic interference, especially in multiple light-emitting diode (LED) scenarios. However, both high synchronization control cost and the multi-path interference are inevitable, which limits the performance gain of the VLP systems. In order to solve this problem, a differential phase of arrival (DPOA)-based positioning scheme is proposed in this paper to remove the reliance on time synchronization and alleviate the multi-path interference. Specifically, a dual-frequency orthogonal beacon is designed and the DPOA-based positioning algorithm is exploited to extract the differential phase information. Then, the positioning optimization problem is formulated by considering both positioning error and location constraints. Thus, the semi-definite programming (SDP) optimization method is exploited to obtain position. The simulation results demonstrate that the positioning accuracy achieved by the proposed scheme outperforms that obtained by traditional received signal strength and the time difference of arrival-based schemes, 90% positioning errors of the proposed method remain within 1.3 cm. Moreover, an experimental VLP test-bed is conducted to verify the feasibility and effectiveness of the proposed positioning scheme. The experimental results show that the average positioning error is 7.12 cm, which meets the centimetre-level positioning requirements. Zixuan Ling, Jianeng Mei, Yuhao Wang 0001, Xiaodong Liu 0006, Zhenghai Wang, Xun Zhang 0002 |
IPIN | 2 |