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Kaili Zheng

dblp:183/1384 · DBLP profile ↗
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4ranked-venue papers
1as first author
1since 2021 · last 2024
—ORCID · conflict

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

Computer networks · 2Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 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.

Artificial intelligence
1 paper
3D vision · 50% Deep learning architectures and training · 50%
Computer networks
1 paper
Physical-layer communications · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › 3D vision
3d human pose estimation
0.812024
3D Human Pose Estimation via Non-causal Retentive Networks · ECCV (33) 2024
Machine learning › Deep learning architectures and training › sequence modeling
retentive network
0.812024
3D Human Pose Estimation via Non-causal Retentive Networks · ECCV (33) 2024
Physical-layer communications
MIMO
0.412019
Offset Spatial Modulation and Offset Space Shift Keying: Efficient Designs for Single-RF MIMO Systems · IEEE Trans. Commun. 2019
Physical-layer communications › MIMO › spatial modulation
space shift keying
0.412019
Offset Spatial Modulation and Offset Space Shift Keying: Efficient Designs for Single-RF MIMO Systems · IEEE Trans. Commun. 2019
Physical-layer communications › MIMO
spatial modulation
0.412019
Offset Spatial Modulation and Offset Space Shift Keying: Efficient Designs for Single-RF MIMO Systems · IEEE Trans. Commun. 2019

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

deep learning · 0.8bit error rate analysis · 0.4
YearPublicationVenuePosition
2024 3D Human Pose Estimation via Non-causal Retentive Networks
Kaili Zheng, Feixiang Lu, Yihao Lv, Liangjun Zhang, Chenyi Guo, Ji Wu 0002
ECCV (33)1
2019 Enhanced Codebook Assisted Tomlinson-Harashima Precoding with Low Feed-Forward Overhead
abstract
Tomlinson-Harashima precoding (THP) with tilted constellation (THP-TC) is being noted for an efficient method to reduce the transmission power and enhance the performance of THP. However, THP-TC requires heavy feed-forward overhead to inform the receivers the rotation angles for each symbol. In this paper, for enhancing the performance and alleviating the heavy feed-forward of THPTC, we propose a class of Tomlinson-Harashima precoding schemes assisted with codebook (THP-CB) to help the processing of angle selection and signal rotation jointly for the transmit signals. The simulation results show that the proposed THP-CB schemes achieve significant performance improvement than the conventional counterparts. Furthermore, we show that the proposed THP-CB reduces more than 90% of the feed-forward overhead, while remaining identical transmission performance to conventional THPTC.
Kaili Zheng, Xiaojuan Zeng
VTC Spring2
2019 Offset Spatial Modulation and Offset Space Shift Keying: Efficient Designs for Single-RF MIMO Systems
abstract
Spatial modulation (SM) and space shift keying (SSK) techniques have the unique advantages of their single-radio-frequency (RF) structures compared with conventional multiple-input-multiple-output (MIMO) techniques. However, the transmission rates of these techniques are decided by the maximal switching frequency or by the minimal switching time between the RF chain and transmit antennas, which has been a bottleneck for their applications in future broadband wireless communications. To alleviate this problem, we propose a class of novel offset SM (OSM) and offset SSK (OSSK) schemes, with the aid of channel state information (CSI) at the transmitter. Compared with conventional SM and SSK, the proposed OSM and OSSK schemes can reduce the switching frequency of the RF chain, by introducing an offset between the connected RF chain and the index of the spatial modulated antenna. In extreme conditions, the proposed OSM and OSSK can work without RF switching while maintaining the single-RF advantage of conventional SM and SSK schemes. Through theoretical analysis, we also develop the bit-error rate (BER) performance bounds for the proposed two schemes. Finally, our simulation results demonstrate that the proposed OSM and OSSK outperform their counterparts, including conventional SM, SSK, CSI-aided SM, and CSI-aided SSK, while having a simplified RF-switching structure.
Shu Fang, Kaili Zheng, Yue Xiao 0001, Xiaojuan Zeng, Ming Xiao 0001
IEEE Trans. Commun.2
2018 Offset Spatial Modulation: An Efficient Solution for Single-RF MIMO
abstract
Spatial Modulation (SM) has the unique advantage of its single-radio frequency (RF) structure compared to conventional multiple-input multiple-output (MIMO) techniques. However, the transmission rate of SM-MIMO is decided by the maximal switching frequency when it switches between the RF chain and transmit antennas, which has been a bottleneck for its applications in future broadband wireless communications. For alleviating this problem, in this paper, a class of novel offset spatial modulation (OSM) schemes are proposed with the aid of channel state information (CSI) at the transmitter. Compared to conventional SM, the proposed OSM scheme is capable of reducing the switching frequency of the RF chain, by introducing an offset between the connected RF chain and the index of the activated antenna. Furthermore, in some extreme conditions, OSM can even work without RF switching while maintaining the single-RF advantage of conventional SM-MIMO. Through theoretical analysis, we also develop a bit-error rate (BER) performance bound for the proposed OSM system. Finally, our simulation results demonstrate that OSM outperforms its counterparts including conventional SM and CSI-aided SM, while offering a simplified RF- switching structure.
Shu Fang, Kaili Zheng, Yue Xiao 0001, Xiaojuan Zeng
ICC2