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2020 – today
- 2024
- [j19]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): 58:1-58:31 (2024) - [c48]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: 253-260 - [c47]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: 5270-5274 - [c46]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: 207-218 - [c45]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: 196-205 - [c44]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: 1715-1718 - [i36]Jiarui Qin, Weiwen Liu, Ruiming Tang, Weinan Zhang, Yong Yu:
D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems. CoRR abs/2401.11478 (2024) - [i35]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 abs/2401.17167 (2024) - [i34]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 abs/2402.02716 (2024) - [i33]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 abs/2403.04399 (2024) - [i32]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 abs/2403.16378 (2024) - [i31]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 abs/2404.07456 (2024) - [i30]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 abs/2405.10596 (2024) - [i29]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 abs/2406.12433 (2024) - [i28]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 abs/2406.16144 (2024) - [i27]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 abs/2407.04960 (2024) - [i26]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 abs/2407.10081 (2024) - 2023
- [j18]Zhenlin Sun
, Miao Yu, Zhengxun Song, Weiwen Liu, Gangyao Xing, Muhan Zhou:
Optical Neural Network in Free-Space and Nanophotonics. IEEE Access 11: 88656-88669 (2023) - [j17]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): 98:1-98:31 (2023) - [c43]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: 5027-5035 - [c42]Wentao Ning
, Xiao Yan
, Weiwen Liu
, Reynold Cheng
, Rui Zhang
, Bo Tang
:
Multi-domain Recommendation with Embedding Disentangling and Domain Alignment. CIKM 2023: 1917-1927 - [c41]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: 4602-4608 - [c40]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: 4766-4772 - [c39]Wenjie Wang
, Yong Liu
, Yang Zhang
, Weiwen Liu
, Fuli Feng
, Xiangnan He
, Aixin Sun
:
The 1st Workshop on Recommendation with Generative Models. CIKM 2023: 5300-5303 - [c38]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: 802-815 - [c37]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: 6656-6664 - [c36]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: 4685-4695 - [c35]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: 5225-5236 - [c34]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: 1276-1280 - [c33]Weiwen Liu
, Wei Guo
, Yong Liu
, Ruiming Tang
, Hao Wang
:
User Behavior Modeling with Deep Learning for Recommendation: Recent Advances. RecSys 2023: 1286-1287 - [c32]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: 1057-1065 - [c31]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: 1075-1083 - [c30]Menghui Zhu
, Wei Xia
, Weiwen Liu
, Yifan Liu
, Ruiming Tang
, Weinan Zhang
:
Integrated Ranking for News Feed with Reinforcement Learning. WWW (Companion Volume) 2023: 480-484 - [i25]Zhicheng He, Weiwen Liu, Wei Guo, Jiarui Qin, Yingxue Zhang, Yaochen Hu, Ruiming Tang:
A Survey on User Behavior Modeling in Recommender Systems. CoRR abs/2302.11087 (2023) - [i24]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 abs/2306.04234 (2023) - [i23]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 abs/2306.05817 (2023) - [i22]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 abs/2306.10933 (2023) - [i21]Wentao Ning, Xiao Yan, Weiwen Liu, Reynold Cheng, Rui Zhang, Bo Tang:
Multi-domain Recommendation with Embedding Disentangling and Domain Alignment. CoRR abs/2308.05508 (2023) - [i20]Zhenhua Dong, Jieming Zhu, Weiwen Liu, Ruiming Tang:
Ten Challenges in Industrial Recommender Systems. CoRR abs/2310.04804 (2023) - 2022
- [j16]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): 3765-3777 (2022) - [j15]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): 4785-4799 (2022) - [j14]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): 6737-6748 (2022) - [j13]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): 7079-7090 (2022) - [c29]Bo Chen
, Huifeng Guo, Weiwen Liu, Yue Ding, Yunzhe Li, Wei Guo, Yichao Wang, Zhicheng He, Ruiming Tang, Rui Zhang:
Numerical Feature Representation with Hybrid N-ary Encoding. CIKM 2022: 2984-2993 - [c28]Wei Xia, Weiwen Liu, Yifan Liu, Ruiming Tang:
Balancing Utility and Exposure Fairness for Integrated Ranking with Reinforcement Learning. CIKM 2022: 4590-4594 - [c27]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: 5512-5520 - [c26]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: 4090-4099 - [c25]Weiwen Liu, Jiarui Qin
, Ruiming Tang, Bo Chen
:
Neural Re-ranking for Multi-stage Recommender Systems. RecSys 2022: 698-699 - [c24]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: 814-824 - [c23]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: 1336-1346 - [c22]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: 62-66 - [i19]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 abs/2202.06602 (2022) - [i18]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 abs/2203.12267 (2022) - [i17]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 abs/2204.09370 (2022) - [i16]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 abs/2206.08604 (2022) - [i15]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 abs/2206.08621 (2022) - [i14]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 abs/2211.09303 (2022) - 2021
- [j12]Junyang Chen
, Zhiguo Gong, Wei Wang
, Weiwen Liu
:
HNS: Hierarchical negative sampling for network representation learning. Inf. Sci. 542: 343-356 (2021) - [j11]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): 2772-2781 (2021) - [c21]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: 4584-4593 - [c20]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: 1379-1389 - [c19]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: 1259-1268 - [c18]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: 1809-1820 - [i13]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 abs/2104.06077 (2021) - [i12]Weiwen Liu, Feng Liu, Ruiming Tang, Ben Liao, Guangyong Chen, Pheng-Ann Heng:
Balancing Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning. CoRR abs/2106.13386 (2021) - [i11]Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Ruiming Tang, Xiuqiang He, Yong Yu:
Retrieval & Interaction Machine for Tabular Data Prediction. CoRR abs/2108.05252 (2021) - [i10]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 abs/2110.09059 (2021) - 2020
- [j10]Junyang Chen
, Zhiguo Gong, Weiwen Liu:
A Dirichlet process biterm-based mixture model for short text stream clustering. Appl. Intell. 50(5): 1609-1619 (2020) - [c17]Weiwen Liu, Qing Liu, Ruiming Tang, Junyang Chen, Xiuqiang He, Pheng-Ann Heng:
Personalized Re-ranking with Item Relationships for E-commerce. CIKM 2020: 925-934 - [c16]Junyang Chen
, Zhiguo Gong, Quanyu Dai, Chunyuan Yuan, Weiwen Liu:
Adversarial Learning for Overlapping Community Detection and Network Embedding. ECAI 2020: 1071-1078 - [c15]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: 272-280 - [c14]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: 155-167 - [c13]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: 600-616 - [c12]Nasim Sonboli, Farzad Eskandanian, Robin Burke, Weiwen Liu, Bamshad Mobasher
:
Opportunistic Multi-aspect Fairness through Personalized Re-ranking. UMAP 2020: 239-247 - [c11]Yitong Meng, Xiao Yan, Weiwen Liu, Huanhuan Wu, James Cheng:
Wasserstein Collaborative Filtering for Item Cold-start Recommendation. UMAP 2020: 318-322 - [c10]Yun He, Yin Zhang, Weiwen Liu, James Caverlee:
Consistency-Aware Recommendation for User-Generated Item List Continuation. WSDM 2020: 250-258 - [i9]Feng Liu, Weiwen Liu, Xutao Li, Yunming Ye:
Inter-sequence Enhanced Framework for Personalized Sequential Recommendation. CoRR abs/2004.12118 (2020) - [i8]Nasim Sonboli, Farzad Eskandanian, Robin Burke, Weiwen Liu, Bamshad Mobasher:
Opportunistic Multi-aspect Fairness through Personalized Re-ranking. CoRR abs/2005.12974 (2020)
2010 – 2019
- 2019
- [j9]Junyang Chen
, Zhiguo Gong, Weiwen Liu
:
A nonparametric model for online topic discovery with word embeddings. Inf. Sci. 504: 32-47 (2019) - [c9]Weiwen Liu, Jun Guo
, Nasim Sonboli, Robin Burke
, Shengyu Zhang:
Personalized fairness-aware re-ranking for microlending. RecSys 2019: 467-471 - [i7]Pengfei Chen, Weiwen Liu, Chang-Yu Hsieh, Guangyong Chen, Shengyu Zhang:
Utilizing Edge Features in Graph Neural Networks via Variational Information Maximization. CoRR abs/1906.05488 (2019) - [i6]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 abs/1906.09427 (2019) - [i5]Yitong Meng, Weiwen Liu, Benben Liao, Jun Guo, Guangyong Chen:
PMD: A New User Distance for Recommender Systems. CoRR abs/1909.04239 (2019) - [i4]Yitong Meng, Guangyong Chen, Benben Liao, Jun Guo, Weiwen Liu:
Wasserstein Collaborative Filtering for Item Cold-start Recommendation. CoRR abs/1909.04266 (2019) - [i3]Xiaojin Zhang, Shuai Li, Weiwen Liu:
Contextual Combinatorial Conservative Bandits. CoRR abs/1911.11337 (2019) - [i2]Yun He, Yin Zhang, Weiwen Liu, James Caverlee:
Consistency-Aware Recommendation for User-Generated ItemList Continuation. CoRR abs/1912.13031 (2019) - 2018
- [j8]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): 521-534 (2018) - [c8]Weiwen Liu, Shuai Li, Shengyu Zhang:
Contextual Dependent Click Bandit Algorithm for Web Recommendation. COCOON 2018: 39-50 - [c7]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: 1-6 - [c6]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: 412-416 - [i1]Weiwen Liu, Robin Burke:
Personalizing Fairness-aware Re-ranking. CoRR abs/1809.02921 (2018) - 2016
- [c5]Hongbing Li
, Weiwen Liu, Kenji Kawashima
:
Development of a human-arm like laparoscopic instrument. ROBIO 2016: 68-70 - 2014
- [c4]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: 383-398 - 2012
- [j7]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): 6395-6403 (2012) - [j6]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): 9987-10000 (2012) - [j5]Weiwen Liu, Hui Zhao, Wei Tao, Chunfeng Lv:
Research on Combinatorial-Code Grating Eddy-Current Absolute-Position Sensor. IEEE Trans. Instrum. Meas. 61(4): 1113-1124 (2012) - 2011
- [j4]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): 5508-5519 (2011) - 2010
- [j3]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): 3181-3192 (2010)
2000 – 2009
- 2009
- [j2]Weiwen Liu, Hui Zhao, Hongli Qi:
Research on Novel Grating Eddy-Current Absolute-Position Sensor. IEEE Trans. Instrum. Meas. 58(10): 3678-3683 (2009) - [j1]Weiwen Liu, David G. Michelson:
Fade Slope Analysis of Ka-Band Earth-LEO Satellite Links Using a Synthetic Rain Field Model. IEEE Trans. Veh. Technol. 58(8): 4013-4022 (2009) - [c3]David G. Michelson, Weiwen Liu:
Simulation of rain fading and scintillation on Ka-band Earth-LEO satellite links. CCECE 2009: 635-640 - 2008
- [c2]Hongli Qi, Hui Zhao, Weiwen Liu:
Multi-parameters Optimization and Nonlinearity Analysis of the Grating Eddy Current Displacement Sensor. RAM 2008: 950-955 - 2007
- [c1]Weiwen Liu, Boubacar Diallo, David G. Michelson:
Fade Slope Analysis of Ka-Band LEO Satellite Links. VTC Fall 2007: 814-818
Coauthor Index
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last updated on 2024-08-16 19:27 CEST by the dblp team
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