Weiwen Liu

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 93

Top Venues

CoRR

CIKM

IEEE Trans. Neural Networks Learn. Syst.

RecSys

Publications

Xu Huang, Weiwen Liu, Xiaolong Chen, Xingmei Wang, Hao Wang, Defu Lian, Yasheng Wang, Ruiming Tang, Enhong Chen
Understanding the planning of LLM agents: A survey. CoRR (2024)
Yifan Liu, Weiwen Liu, Wei Xia, Jieming Zhu, Weinan Zhang, Zhenhua Dong, Yang Wang, Ruiming Tang, Rui Zhang, Yong Yu
Multi-sourced Integrated Ranking with Exposure Fairness. PAKDD (5) (2024)
Yunjia Xi, Weiwen Liu, Jianghao Lin, Chuhan Wu, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models. CoRR (2024)
Shijue Huang, Wanjun Zhong, Jianqiao Lu, Qi Zhu, Jiahui Gao, Weiwen Liu, Yutai Hou, Xingshan Zeng, Yasheng Wang, Lifeng Shang, Xin Jiang, Ruifeng Xu, Qun Liu
Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios. CoRR (2024)
Jingtong Gao, Bo Chen, Xiangyu Zhao, Weiwen Liu, Xiangyang Li, Yichao Wang, Zijian Zhang, Wanyu Wang, Yuyang Ye, Shanru Lin, Huifeng Guo, Ruiming Tang
LLM-enhanced Reranking in Recommender Systems. CoRR (2024)
Weitong Ou, Bo Chen, Xinyi Dai, Weinan Zhang, Weiwen Liu, Ruiming Tang, Yong Yu
A Survey on Bid Optimization in Real-Time Bidding Display Advertising. ACM Trans. Knowl. Discov. Data 18 (3) (2024)
Wenjie Wang, Yang Zhang, Xinyu Lin, Fuli Feng, Weiwen Liu, Yong Liu, Xiangyu Zhao, Wayne Xin Zhao, Yang Song, Xiangnan He
The 2nd Workshop on Recommendation with Generative Models. CoRR (2024)
Wenjie Wang, Yang Zhang, Xinyu Lin, Fuli Feng, Weiwen Liu, Yong Liu, Xiangyu Zhao, Wayne Xin Zhao, Yang Song, Xiangnan He
The 2nd Workshop on Recommendation with Generative Models. WWW (Companion Volume) (2024)
Boqi Dai, Kai Ouyang, Jun Yuan, Miaoxin Chen, Xingyu Lu, Weiwen Liu, Rui Zhang, Hai-Tao Zheng
Enhancing Multi-Task Models For Recommendation with Tensor Trace Norm. ICASSP (2024)
Jiarui Qin, Weiwen Liu, Ruiming Tang, Weinan Zhang, Yong Yu
D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems. CoRR (2024)
Yufeng Xu, Jiapeng Xiu, Bin Wen, Zhengqiu Yang, Shudi Wu, Weiwen Liu
An AUTOSAR Crypto Stack System for Supporting Automotive Electronic Information Security. CCEAI (2024)
Zezhong Wang, Xingshan Zeng, Weiwen Liu, Yufei Wang, Liangyou Li, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong
Chain-of-Probe: Examing the Necessity and Accuracy of CoT Step-by-Step. CoRR (2024)
Yunjia Xi, Weiwen Liu, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models. CoRR (2024)
Xingmei Wang, Weiwen Liu, Xiaolong Chen, Qi Liu, Xu Huang, Defu Lian, Xiangyang Li, Yasheng Wang, Zhenhua Dong, Ruiming Tang
CELA: Cost-Efficient Language Model Alignment for CTR Prediction. CoRR (2024)
Yifan Liu, Wei Xia, Weiwen Liu, Menghui Zhu, Weinan Zhang, Ruiming Tang, Yong Yu
HiFI: Hierarchical Fairness-aware Integrated Ranking with Constrained Reinforcement Learning. WWW (Companion Volume) (2024)
Xu Huang, Weiwen Liu, Xiaolong Chen, Xingmei Wang, Defu Lian, Yasheng Wang, Ruiming Tang, Enhong Chen
WESE: Weak Exploration to Strong Exploitation for LLM Agents. CoRR (2024)
Shijue Huang, Wanjun Zhong, Jianqiao Lu, Qi Zhu, Jiahui Gao, Weiwen Liu, Yutai Hou, Xingshan Zeng, Yasheng Wang, Lifeng Shang, Xin Jiang, Ruifeng Xu, Qun Liu
Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios. ACL (Findings) (2024)
Bo Chen, Xinyi Dai, Huifeng Guo, Wei Guo, Weiwen Liu, Yong Liu, Jiarui Qin, Ruiming Tang, Yichao Wang, Chuhan Wu, Yaxiong Wu, Hao Zhang
All Roads Lead to Rome: Unveiling the Trajectory of Recommender Systems Across the LLM Era. CoRR (2024)
Wentao Ning, Xiao Yan, Weiwen Liu, Reynold Cheng, Rui Zhang, Bo Tang
Multi-domain Recommendation with Embedding Disentangling and Domain Alignment. CoRR (2023)
Xianyu Chen, Jian Shen, Wei Xia, Jiarui Jin, Yakun Song, Weinan Zhang, Weiwen Liu, Menghui Zhu, Ruiming Tang, Kai Dong, Dingyin Xia, Yong Yu
Set-to-Sequence Ranking-Based Concept-Aware Learning Path Recommendation. AAAI (2023)
Zhenhua Dong, Jieming Zhu, Weiwen Liu, Ruiming Tang
Ten Challenges in Industrial Recommender Systems. CoRR (2023)
Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Guangpeng Zhao, Hao Li, Ruiming Tang, Xiuqiang He, Yong Yu
Learning to Retrieve User Behaviors for Click-through Rate Estimation. ACM Trans. Inf. Syst. 41 (4) (2023)
Yunjia Xi, Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Rui Zhang, Ruiming Tang, Yong Yu
A Bird's-eye View of Reranking: From List Level to Page Level. WSDM (2023)
Yunjia Xi, Weiwen Liu, Yang Wang, Ruiming Tang, Weinan Zhang, Yue Zhu, Rui Zhang, Yong Yu
On-device Integrated Re-ranking with Heterogeneous Behavior Modeling. KDD (2023)
Yunjia Xi, Weiwen Liu, Jianghao Lin, Jieming Zhu, Bo Chen, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu
Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models. CoRR (2023)
Weitong Ou, Bo Chen, Yingxuan Yang, Xinyi Dai, Weiwen Liu, Weinan Zhang, Ruiming Tang, Yong Yu
Deep Landscape Forecasting in Multi-Slot Real-Time Bidding. KDD (2023)
Wentao Ning, Xiao Yan, Weiwen Liu, Reynold Cheng, Rui Zhang, Bo Tang
Multi-domain Recommendation with Embedding Disentangling and Domain Alignment. CIKM (2023)
Zhicheng He, Weiwen Liu, Wei Guo, Jiarui Qin, Yingxue Zhang, Yaochen Hu, Ruiming Tang
A Survey on User Behavior Modeling in Recommender Systems. CoRR (2023)
Zhicheng He, Weiwen Liu, Wei Guo, Jiarui Qin, Yingxue Zhang, Yaochen Hu, Ruiming Tang
A Survey on User Behavior Modeling in Recommender Systems. IJCAI (2023)
Weitong Ou, Bo Chen, Weiwen Liu, Xinyi Dai, Weinan Zhang, Wei Xia, Xuan Li, Ruiming Tang, Yong Yu
Optimal Real-Time Bidding Strategy for Position Auctions in Online Advertising. CIKM (2023)
Jianghao Lin, Xinyi Dai, Yunjia Xi, Weiwen Liu, Bo Chen, Xiangyang Li, Chenxu Zhu, Huifeng Guo, Yong Yu, Ruiming Tang, Weinan Zhang
How Can Recommender Systems Benefit from Large Language Models: A Survey. CoRR (2023)
Weiwen Liu, Wei Guo, Yong Liu, Ruiming Tang, Hao Wang
User Behavior Modeling with Deep Learning for Recommendation: Recent Advances. RecSys (2023)
Xianyu Chen, Jian Shen, Wei Xia, Jiarui Jin, Yakun Song, Weinan Zhang, Weiwen Liu, Menghui Zhu, Ruiming Tang, Kai Dong, Dingyin Xia, Yong Yu
Set-to-Sequence Ranking-based Concept-aware Learning Path Recommendation. CoRR (2023)
Wei Guo, Chenxu Zhu, Fan Yan, Bo Chen, Weiwen Liu, Huifeng Guo, Hongkun Zheng, Yong Liu, Ruiming Tang
DFFM: Domain Facilitated Feature Modeling for CTR Prediction. CIKM (2023)
Wenjie Wang, Yong Liu, Yang Zhang, Weiwen Liu, Fuli Feng, Xiangnan He, Aixin Sun
The 1st Workshop on Recommendation with Generative Models. CIKM (2023)
Zhenlin Sun, Miao Yu, Zhengxun Song, Weiwen Liu, Gangyao Xing, Muhan Zhou
Optical Neural Network in Free-Space and Nanophotonics. IEEE Access 11 (2023)
Weiwen Liu, Yunjia Xi, Jiarui Qin, Xinyi Dai, Ruiming Tang, Shuai Li, Weinan Zhang, Rui Zhang
Personalized Diversification for Neural Re-ranking in Recommendation. ICDE (2023)
Menghui Zhu, Wei Xia, Weiwen Liu, Yifan Liu, Ruiming Tang, Weinan Zhang
Integrated Ranking for News Feed with Reinforcement Learning. WWW (Companion Volume) (2023)
Ruiming Tang, Xiaoqiang Zhu, Junfeng Ge, Kuang-chih Lee, Biye Jiang, Xingxing Wang, Han Zhu, Tao Zhuang, Weiwen Liu, Kan Ren, Weinan Zhang, Xiangyu Zhao
International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023. RecSys (2023)
Lingyue Fu, Jianghao Lin, Weiwen Liu, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu
An F-shape Click Model for Information Retrieval on Multi-block Mobile Pages. WSDM (2023)
Bo Chen, Huifeng Guo, Weiwen Liu, Yue Ding, Yunzhe Li, Wei Guo, Yichao Wang, Zhicheng He, Ruiming Tang, Rui Zhang
-ary Encoding. CIKM (2022)
Yi Li, Jieming Zhu, Weiwen Liu, Liangcai Su, Guohao Cai, Qi Zhang, Ruiming Tang, Xi Xiao, Xiuqiang He
PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation. WWW (Companion Volume) (2022)
Yunjia Xi, Weiwen Liu, Jieming Zhu, Xilong Zhao, Xinyi Dai, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu
Multi-Level Interaction Reranking with User Behavior History. CoRR (2022)
Jiarui Qin, Jiachen Zhu, Bo Chen, Zhirong Liu, Weiwen Liu, Ruiming Tang, Rui Zhang, Yong Yu, Weinan Zhang
RankFlow: Joint Optimization of Multi-Stage Cascade Ranking Systems as Flows. SIGIR (2022)
Junyang Chen, Zhiguo Gong, Jiqian Mo, Wei Wang, Wei Wang, Cong Wang, Xiao Dong, Weiwen Liu, Kaishun Wu
Self-Training Enhanced: Network Embedding and Overlapping Community Detection With Adversarial Learning. IEEE Trans. Neural Networks Learn. Syst. 33 (11) (2022)
Yi Li, Jieming Zhu, Weiwen Liu, Liangcai Su, Guohao Cai, Qi Zhang, Ruiming Tang, Xi Xiao, Xiuqiang He
PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation. CoRR (2022)
Wei Xia, Weiwen Liu, Yifan Liu, Ruiming Tang
Balancing Utility and Exposure Fairness for Integrated Ranking with Reinforcement Learning. CIKM (2022)
Weiwen Liu, Yin Zhang, Jianling Wang, Yun He, James Caverlee, Patrick P. K. Chan, Daniel S. Yeung, Pheng-Ann Heng
Item Relationship Graph Neural Networks for E-Commerce. IEEE Trans. Neural Networks Learn. Syst. 33 (9) (2022)
Weiwen Liu, Yunjia Xi, Jiarui Qin, Fei Sun, Bo Chen, Weinan Zhang, Rui Zhang, Ruiming Tang
Neural Re-ranking in Multi-stage Recommender Systems: A Review. CoRR (2022)
Weiwen Liu, Yunjia Xi, Jiarui Qin, Fei Sun, Bo Chen, Weinan Zhang, Rui Zhang, Ruiming Tang
Neural Re-ranking in Multi-stage Recommender Systems: A Review. IJCAI (2022)
Yunjia Xi, Weiwen Liu, Jieming Zhu, Xilong Zhao, Xinyi Dai, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu
Multi-Level Interaction Reranking with User Behavior History. SIGIR (2022)
Junyang Chen, Zhiguo Gong, Wei Wang, Weiwen Liu, Xiao Dong
CRL: Collaborative Representation Learning by Coordinating Topic Modeling and Network Embeddings. IEEE Trans. Neural Networks Learn. Syst. 33 (8) (2022)
Yunjia Xi, Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Rui Zhang, Ruiming Tang, Yong Yu
A Bird's-eye View of Reranking: from List Level to Page Level. CoRR (2022)
Junyang Chen, Zhiguo Gong, Wei Wang, Cong Wang, Zhenghua Xu, Jianming Lv, Xueliang Li, Kaishun Wu, Weiwen Liu
Adversarial Caching Training: Unsupervised Inductive Network Representation Learning on Large-Scale Graphs. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Lingyue Fu, Jianghao Lin, Weiwen Liu, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu
An F-shape Click Model for Information Retrieval on Multi-block Mobile Pages. CoRR (2022)
Weiwen Liu, Jiarui Qin, Ruiming Tang, Bo Chen
Neural Re-ranking for Multi-stage Recommender Systems. RecSys (2022)
Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Shuai Li, Ruiming Tang, Xiuqiang He, Jianye Hao, Yong Yu
A Graph-Enhanced Click Model for Web Search. CoRR (2022)
Yichao Wang, Huifeng Guo, Bo Chen, Weiwen Liu, Zhirong Liu, Qi Zhang, Zhicheng He, Hongkun Zheng, Weiwei Yao, Muyu Zhang, Zhenhua Dong, Ruiming Tang
CausalInt: Causal Inspired Intervention for Multi-Scenario Recommendation. KDD (2022)
Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Ruiming Tang, Xiuqiang He, Yong Yu
Retrieval & Interaction Machine for Tabular Data Prediction. KDD (2021)
Weiwen Liu, Feng Liu, Ruiming Tang, Ben Liao, Guangyong Chen, Pheng-Ann Heng
Balancing Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning. CoRR (2021)
Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Shuai Li, Ruiming Tang, Xiuqiang He, Jianye Hao, Yong Yu
A Graph-Enhanced Click Model for Web Search. SIGIR (2021)
Xinyi Dai, Jianghao Lin, Weinan Zhang, Shuai Li, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu
An Adversarial Imitation Click Model for Information Retrieval. CoRR (2021)
Junyang Chen, Zhiguo Gong, Wei Wang, Weiwen Liu
HNS: Hierarchical negative sampling for network representation learning. Inf. Sci. 542 (2021)
Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Ruiming Tang, Xiuqiang He, Yong Yu
Retrieval & Interaction Machine for Tabular Data Prediction. CoRR (2021)
Junyang Chen, Zhiguo Gong, Wei Wang, Weiwen Liu, Ming Yang, Cong Wang
TAM: Targeted Analysis Model With Reinforcement Learning on Short Texts. IEEE Trans. Neural Networks Learn. Syst. 32 (6) (2021)
Yunjia Xi, Weiwen Liu, Xinyi Dai, Ruiming Tang, Weinan Zhang, Qing Liu, Xiuqiang He, Yong Yu
Context-aware Reranking with Utility Maximization for Recommendation. CoRR (2021)
Nasim Sonboli, Masoud Mansoury, Ziyue Guo, Shreyas Kadekodi, Weiwen Liu, Zijun Liu, Andrew Schwartz, Robin Burke
librec-auto: A Tool for Recommender Systems Experimentation. CIKM (2021)
Xinyi Dai, Jianghao Lin, Weinan Zhang, Shuai Li, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu
An Adversarial Imitation Click Model for Information Retrieval. WWW (2021)
Yun He, Yin Zhang, Weiwen Liu, James Caverlee
Consistency-Aware Recommendation for User-Generated Item List Continuation. WSDM (2020)
Junyang Chen, Zhiguo Gong, Weiwen Liu
A Dirichlet process biterm-based mixture model for short text stream clustering. Appl. Intell. 50 (5) (2020)
Junyang Chen, Zhiguo Gong, Wei Wang, Xiao Dong, Wei Wang, Weiwen Liu, Cong Wang, Xian Chen
Inductive Document Representation Learning for Short Text Clustering. ECML/PKDD (3) (2020)
Nasim Sonboli, Farzad Eskandanian, Robin Burke, Weiwen Liu, Bamshad Mobasher
Opportunistic Multi-aspect Fairness through Personalized Re-ranking. CoRR (2020)
Yitong Meng, Xinyan Dai, Xiao Yan, James Cheng, Weiwen Liu, Jun Guo, Benben Liao, Guangyong Chen
PMD: An Optimal Transportation-Based User Distance for Recommender Systems. ECIR (2) (2020)
Weiwen Liu, Feng Liu, Ruiming Tang, Ben Liao, Guangyong Chen, Pheng-Ann Heng
Balancing Between Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning. PAKDD (1) (2020)
Feng Liu, Weiwen Liu, Xutao Li, Yunming Ye
Inter-sequence Enhanced Framework for Personalized Sequential Recommendation. CoRR (2020)
Junyang Chen, Zhiguo Gong, Quanyu Dai, Chunyuan Yuan, Weiwen Liu
Adversarial Learning for Overlapping Community Detection and Network Embedding. ECAI (2020)
Yitong Meng, Xiao Yan, Weiwen Liu, Huanhuan Wu, James Cheng
Wasserstein Collaborative Filtering for Item Cold-start Recommendation. UMAP (2020)
Nasim Sonboli, Farzad Eskandanian, Robin Burke, Weiwen Liu, Bamshad Mobasher
Opportunistic Multi-aspect Fairness through Personalized Re-ranking. UMAP (2020)
Weiwen Liu, Qing Liu, Ruiming Tang, Junyang Chen, Xiuqiang He, Pheng-Ann Heng
Personalized Re-ranking with Item Relationships for E-commerce. CIKM (2020)
Yitong Meng, Weiwen Liu, Benben Liao, Jun Guo, Guangyong Chen
PMD: A New User Distance for Recommender Systems. CoRR (2019)
Weiwen Liu, Jun Guo, Nasim Sonboli, Robin Burke, Shengyu Zhang
Personalized fairness-aware re-ranking for microlending. RecSys (2019)
Xiaojin Zhang, Shuai Li, Weiwen Liu
Contextual Combinatorial Conservative Bandits. CoRR (2019)
Junyang Chen, Zhiguo Gong, Weiwen Liu
A nonparametric model for online topic discovery with word embeddings. Inf. Sci. 504 (2019)
Yun He, Yin Zhang, Weiwen Liu, James Caverlee
Consistency-Aware Recommendation for User-Generated ItemList Continuation. CoRR (2019)
Yitong Meng, Guangyong Chen, Benben Liao, Jun Guo, Weiwen Liu
Wasserstein Collaborative Filtering for Item Cold-start Recommendation. CoRR (2019)
Guangyong Chen, Pengfei Chen, Chang-Yu Hsieh, Chee-Kong Lee, Benben Liao, Renjie Liao, Weiwen Liu, Jiezhong Qiu, Qiming Sun, Jie Tang, Richard S. Zemel, Shengyu Zhang
Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models. CoRR (2019)
Pengfei Chen, Weiwen Liu, Chang-Yu Hsieh, Guangyong Chen, Shengyu Zhang
Utilizing Edge Features in Graph Neural Networks via Variational Information Maximization. CoRR (2019)
Patrick P. K. Chan, Weiwen Liu, Danni Chen, Daniel S. Yeung, Fei Zhang, Xizhao Wang, Chien-Chang Hsu
Face Liveness Detection Using a Flash Against 2D Spoofing Attack. IEEE Trans. Inf. Forensics Secur. 13 (2) (2018)
Weiwen Liu, Ruiming Tang, Jiajin Li, Jinkai Yu, Huifeng Guo, Xiuqiang He, Shengyu Zhang
Field-aware probabilistic embedding neural network for CTR prediction. RecSys (2018)
Weiwen Liu, Robin Burke
Personalizing Fairness-aware Re-ranking. CoRR (2018)
Weiwen Liu, Shuai Li, Shengyu Zhang
Contextual Dependent Click Bandit Algorithm for Web Recommendation. COCOON (2018)
Zhan Yang, Weiwen Liu, Hongbing Li, Zheng Li
A Coaxial Vision Assembly Algorithm for Un-centripetal Holes on Large-scale Stereo Workpiece Using Multiple-DOF Robot. IST (2018)
Hongbing Li, Weiwen Liu, Kenji Kawashima
Development of a human-arm like laparoscopic instrument. ROBIO (2016)
Muralidhar Subramanian, Wyatt Lloyd, Sabyasachi Roy, Cory Hill, Ernest Lin, Weiwen Liu, Satadru Pan, Shiva Shankar, Sivakumar Viswanathan, Linpeng Tang, Sanjeev Kumar
f4: Facebook's Warm BLOB Storage System. OSDI (2014)
Chunfeng Lü, Weiwen Liu, Yongjie Zhang, Hui Zhao
Experimental Estimating Deflection of a Simple Beam Bridge Model Using Grating Eddy Current Sensors. Sensors 12 (8) (2012)
Weiwen Liu, Hui Zhao, Wei Tao, Chunfeng Lv
Research on Combinatorial-Code Grating Eddy-Current Absolute-Position Sensor. IEEE Trans. Instrum. Meas. 61 (4) (2012)
Yongjie Zhang, Weiwen Liu, Jinfeng Yang, Chunfeng Lv, Hui Zhao
Design of Compensation Coils for EMI Suppression in Magnetostrictive Linear Position Sensors. Sensors 12 (5) (2012)
Yongjie Zhang, Weiwen Liu, Haibo Zhang, Jinfeng Yang, Hui Zhao
Design and Analysis of a Differential Waveguide Structure to Improve Magnetostrictive Linear Position Sensors. Sensors 11 (5) (2011)
Weiwen Liu, David G. Michelson
Effect of Turbulence Layer Height and Satellite Altitude on Tropospheric Scintillation on Ka-Band Earth-LEO Satellite Links. IEEE Trans. Veh. Technol. 59 (7) (2010)
Weiwen Liu, Hui Zhao, Hongli Qi
Research on Novel Grating Eddy-Current Absolute-Position Sensor. IEEE Trans. Instrum. Meas. 58 (10) (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Weiwen Liu