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Viewing Publication 1 - 63 from 63

2024

A Survey on Bid Optimization in Real-Time Bidding Display AdvertisingWeitong Ou, Bo Chen 0023, Xinyi Dai, Weinan Zhang 0001, Weiwen Liu, Ruiming Tang, Yong Yu 0001. tkdd, 18(3), April 2024. [doi]

An AUTOSAR Crypto Stack System for Supporting Automotive Electronic Information SecurityYufeng Xu, Jiapeng Xiu, Bin Wen, Zhengqiu Yang, Shudi Wu, Weiwen Liu. cceai 2024: 253-260 [doi]

2023

A Survey on User Behavior Modeling in Recommender SystemsZhicheng He 0001, Weiwen Liu, Wei Guo, Jiarui Qin, Yingxue Zhang, Yaochen Hu 0001, Ruiming Tang. IJCAI 2023: 6656-6664 [doi]

Set-to-Sequence Ranking-Based Concept-Aware Learning Path RecommendationXianyu Chen, Jian Shen, Wei Xia, Jiarui Jin, Yakun Song, Weinan Zhang 0001, Weiwen Liu, Menghui Zhu, Ruiming Tang, Kai Dong, Dingyin Xia, Yong Yu 0001. AAAI 2023: 5027-5035 [doi]

An F-shape Click Model for Information Retrieval on Multi-block Mobile PagesLingyue Fu, Jianghao Lin, Weiwen Liu, Ruiming Tang, Weinan Zhang 0001, Rui Zhang, Yong Yu 0001. wsdm 2023: 1057-1065 [doi]

DFFM: Domain Facilitated Feature Modeling for CTR PredictionWei Guo, Chenxu Zhu, Fan Yan, Bo Chen, Weiwen Liu, Huifeng Guo, Hongkun Zheng, Yong Liu, Ruiming Tang. CIKM 2023: 4602-4608 [doi]

Personalized Diversification for Neural Re-ranking in RecommendationWeiwen Liu, Yunjia Xi, Jiarui Qin, Xinyi Dai, Ruiming Tang, Shuai Li, Weinan Zhang 0001, Rui Zhang 0003. icde 2023: 802-815 [doi]

User Behavior Modeling with Deep Learning for Recommendation: Recent AdvancesWeiwen Liu, Wei Guo 0006, Yong Liu, Ruiming Tang, Hao Wang. recsys 2023: 1286-1287 [doi]

Multi-domain Recommendation with Embedding Disentangling and Domain AlignmentWentao Ning, Xiao Yan 0002, Weiwen Liu, Reynold Cheng, Rui Zhang, Bo Tang. CIKM 2023: 1917-1927 [doi]

Deep Landscape Forecasting in Multi-Slot Real-Time BiddingWeitong Ou, Bo Chen, Yingxuan Yang, Xinyi Dai, Weiwen Liu, Weinan Zhang, Ruiming Tang, Yong Yu. kdd 2023: 4685-4695 [doi]

Optimal Real-Time Bidding Strategy for Position Auctions in Online AdvertisingWeitong Ou, Bo Chen, Weiwen Liu, Xinyi Dai, Weinan Zhang, Wei Xia, Xuan Li, Ruiming Tang, Yong Yu. CIKM 2023: 4766-4772 [doi]

Learning to Retrieve User Behaviors for Click-through Rate EstimationJiarui Qin, Weinan Zhang 0001, Rong Su 0003, Zhirong Liu, Weiwen Liu, Guangpeng Zhao, Hao Li, Ruiming Tang, Xiuqiang He 0001, Yong Yu 0001. tois, 41(4), October 2023. [doi]

Optical Neural Network in Free-Space and NanophotonicsZhenlin Sun, Miao Yu, Zhengxun Song, Weiwen Liu, Gangyao Xing, Muhan Zhou. access, 11:88656-88669, 2023. [doi]

International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023Ruiming Tang, Xiaoqiang Zhu, Junfeng Ge, Kuang-Chih Lee, Biye Jiang, Xingxing Wang, Han Zhu, Tao Zhuang, Weiwen Liu, Kan Ren, Weinan Zhang 0001, Xiangyu Zhao. recsys 2023: 1276-1280 [doi]

The 1st Workshop on Recommendation with Generative ModelsWenjie Wang, Yong Liu, Yang Zhang, Weiwen Liu, Fuli Feng, Xiangnan He 0001, Aixin Sun. CIKM 2023: 5300-5303 [doi]

A Bird's-eye View of Reranking: From List Level to Page LevelYunjia Xi, Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang 0001, Rui Zhang, Ruiming Tang, Yong Yu 0001. wsdm 2023: 1075-1083 [doi]

On-device Integrated Re-ranking with Heterogeneous Behavior ModelingYunjia Xi, Weiwen Liu, Yang Wang, Ruiming Tang, Weinan Zhang, Yue Zhu, Rui Zhang, Yong Yu. kdd 2023: 5225-5236 [doi]

Integrated Ranking for News Feed with Reinforcement LearningMenghui Zhu, Wei Xia 0001, Weiwen Liu, Yifan Liu, Ruiming Tang, Weinan Zhang 0001. WWW 2023: 480-484 [doi]

2022

CausalInt: Causal Inspired Intervention for Multi-Scenario RecommendationYichao Wang 0002, Huifeng Guo, Bo Chen 0023, Weiwen Liu, Zhirong Liu, Qi Zhang, Zhicheng He 0001, Hongkun Zheng, Weiwei Yao, Muyu Zhang, Zhenhua Dong, Ruiming Tang. kdd 2022: 4090-4099 [doi]

N-ary EncodingBo Chen 0023, Huifeng Guo, Weiwen Liu, Yue Ding, Yunzhe Li 0001, Wei Guo, Yichao Wang 0002, Zhicheng He 0001, Ruiming Tang, Rui Zhang. CIKM 2022: 2984-2993 [doi]

Adversarial Caching Training: Unsupervised Inductive Network Representation Learning on Large-Scale GraphsJunyang Chen, Zhiguo Gong, Wei Wang 0077, Cong Wang 0018, Zhenghua Xu, Jianming Lv, Xueliang Li 0002, Kaishun Wu, Weiwen Liu. tnn, 33(12):7079-7090, 2022. [doi]

Self-Training Enhanced: Network Embedding and Overlapping Community Detection With Adversarial LearningJunyang Chen, Zhiguo Gong, Jiqian Mo, Wei Wang 0077, Wei Wang 0335, Cong Wang 0018, Xiao Dong, Weiwen Liu, Kaishun Wu. tnn, 33(11):6737-6748, 2022. [doi]

CRL: Collaborative Representation Learning by Coordinating Topic Modeling and Network EmbeddingsJunyang Chen, Zhiguo Gong, Wei Wang 0077, Weiwen Liu, Xiao Dong. tnn, 33(8):3765-3777, 2022. [doi]

PEAR: Personalized Re-ranking with Contextualized Transformer for RecommendationYi Li, Jieming Zhu, Weiwen Liu, LiangCai Su, Guohao Cai, Qi Zhang, Ruiming Tang, Xi Xiao, Xiuqiang He 0001. WWW 2022: 62-66 [doi]

Neural Re-ranking for Multi-stage Recommender SystemsWeiwen Liu, Jiarui Qin, Ruiming Tang, Bo Chen 0023. recsys 2022: 698-699 [doi]

Item Relationship Graph Neural Networks for E-CommerceWeiwen Liu, Yin Zhang, Jianling Wang, Yun He 0001, James Caverlee, Patrick P. K. Chan, Daniel S. Yeung, Pheng-Ann Heng. tnn, 33(9):4785-4799, 2022. [doi]

Neural Re-ranking in Multi-stage Recommender Systems: A ReviewWeiwen Liu, Yunjia Xi, Jiarui Qin, Fei Sun, Bo Chen 0023, Weinan Zhang 0001, Rui Zhang, Ruiming Tang. IJCAI 2022: 5512-5520 [doi]

RankFlow: Joint Optimization of Multi-Stage Cascade Ranking Systems as FlowsJiarui Qin, Jiachen Zhu, Bo Chen 0023, Zhirong Liu, Weiwen Liu, Ruiming Tang, Rui Zhang, Yong Yu 0001, Weinan Zhang 0001. sigir 2022: 814-824 [doi]

Multi-Level Interaction Reranking with User Behavior HistoryYunjia Xi, Weiwen Liu, Jieming Zhu, Xilong Zhao, Xinyi Dai, Ruiming Tang, Weinan Zhang 0001, Rui Zhang, Yong Yu. sigir 2022: 1336-1346 [doi]

Balancing Utility and Exposure Fairness for Integrated Ranking with Reinforcement LearningWei Xia, Weiwen Liu, Yifan Liu, Ruiming Tang. CIKM 2022: 4590-4594 [doi]

2021

TAM: Targeted Analysis Model With Reinforcement Learning on Short TextsJunyang Chen, Zhiguo Gong, Wei Wang 0077, Weiwen Liu, Ming Yang, Cong Wang 0018. tnn, 32(6):2772-2781, 2021. [doi]

HNS: Hierarchical negative sampling for network representation learningJunyang Chen, Zhiguo Gong, Wei Wang, Weiwen Liu. isci, 542:343-356, 2021. [doi]

An Adversarial Imitation Click Model for Information RetrievalXinyi Dai, Jianghao Lin, Weinan Zhang 0001, Shuai Li 0010, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu. WWW 2021: 1809-1820 [doi]

A Graph-Enhanced Click Model for Web SearchJianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang 0001, Shuai Li 0010, Ruiming Tang, Xiuqiang He, Jianye Hao, Yong Yu. sigir 2021: 1259-1268 [doi]

Retrieval & Interaction Machine for Tabular Data PredictionJiarui Qin, Weinan Zhang 0001, Rong Su, Zhirong Liu, Weiwen Liu, Ruiming Tang, Xiuqiang He, Yong Yu. kdd 2021: 1379-1389 [doi]

librec-auto: A Tool for Recommender Systems ExperimentationNasim Sonboli, Masoud Mansoury, Ziyue Guo, Shreyas Kadekodi, Weiwen Liu, Zijun Liu, Andrew Schwartz, Robin Burke. CIKM 2021: 4584-4593 [doi]

2020

Adversarial Learning for Overlapping Community Detection and Network EmbeddingJunyang Chen, Zhiguo Gong, Quanyu Dai, Chunyuan Yuan, Weiwen Liu. ecai 2020: 1071-1078 [doi]

A Dirichlet process biterm-based mixture model for short text stream clusteringJunyang Chen, Zhiguo Gong, Weiwen Liu. apin, 50(5):1609-1619, 2020. [doi]

Inductive Document Representation Learning for Short Text ClusteringJunyang Chen, Zhiguo Gong, Wei Wang 0077, Xiao Dong, Wei Wang, Weiwen Liu, Cong Wang, Xian Chen. pkdd 2021: 600-616 [doi]

Consistency-Aware Recommendation for User-Generated Item List ContinuationYun He, Yin Zhang, Weiwen Liu, James Caverlee. wsdm 2020: 250-258 [doi]

Personalized Re-ranking with Item Relationships for E-commerceWeiwen Liu, Qing Liu, Ruiming Tang, Junyang Chen, Xiuqiang He, Pheng-Ann Heng. CIKM 2020: 925-934 [doi]

Balancing Between Accuracy and Fairness for Interactive Recommendation with Reinforcement LearningWeiwen Liu, Feng Liu, Ruiming Tang, Ben Liao, Guangyong Chen, Pheng-Ann Heng. pakdd 2020: 155-167 [doi]

Wasserstein Collaborative Filtering for Item Cold-start RecommendationYitong Meng, Xiao Yan, Weiwen Liu, Huanhuan Wu, James Cheng. um 2020: 318-322 [doi]

PMD: An Optimal Transportation-Based User Distance for Recommender SystemsYitong Meng, Xinyan Dai, Xiao Yan, James Cheng, Weiwen Liu, Jun Guo, Benben Liao, Guangyong Chen. ecir 2020: 272-280 [doi]

Opportunistic Multi-aspect Fairness through Personalized Re-rankingNasim Sonboli, Farzad Eskandanian, Robin Burke, Weiwen Liu, Bamshad Mobasher. um 2020: 239-247 [doi]

2019

A nonparametric model for online topic discovery with word embeddingsJunyang Chen, Zhiguo Gong, Weiwen Liu. isci, 504:32-47, 2019. [doi]

Personalized fairness-aware re-ranking for microlendingWeiwen Liu, Jun Guo, Nasim Sonboli, Robin Burke, Shengyu Zhang. recsys 2019: 467-471 [doi]

2018

2016

Development of a human-arm like laparoscopic instrumentHongbing Li, Weiwen Liu, Kenji Kawashima. robio 2016: 68-70 [doi]

2014

f4: Facebook's Warm BLOB Storage SystemMuralidhar Subramanian, Wyatt Lloyd, Sabyasachi Roy, Cory Hill, Ernest Lin, Weiwen Liu, Satadru Pan, Shiva Shankar, Sivakumar Viswanathan, Linpeng Tang, Sanjeev Kumar. osdi 2014: 383-398 [doi]

2012

2011

Design and Analysis of a Differential Waveguide Structure to Improve Magnetostrictive Linear Position SensorsYongjie Zhang, Weiwen Liu, Haibo Zhang, Jinfeng Yang, Hui Zhao. sensors, 11(5):5508-5519, 2011. [doi]

2010

Effect of Turbulence Layer Height and Satellite Altitude on Tropospheric Scintillation on Ka-Band Earth-LEO Satellite LinksWeiwen Liu, David G. Michelson. tvt, 59(7):3181-3192, 2010. [doi]

2009

Fade Slope Analysis of Ka-Band Earth-LEO Satellite Links Using a Synthetic Rain Field ModelWeiwen Liu, David G. Michelson. tvt, 58(8):4013-4022, 2009. [doi]

Research on Novel Grating Eddy-Current Absolute-Position SensorWeiwen Liu, Hui Zhao, Hongli Qi. tim, 58(10):3678-3683, 2009. [doi]

Simulation of rain fading and scintillation on Ka-band Earth-LEO satellite linksDavid G. Michelson, Weiwen Liu. ccece 2009: 635-640 [doi]

2008

Multi-parameters Optimization and Nonlinearity Analysis of the Grating Eddy Current Displacement SensorHongli Qi, Hui Zhao, Weiwen Liu. ram 2008: 950-955 [doi]

2007

Fade Slope Analysis of Ka-Band LEO Satellite LinksWeiwen Liu, Boubacar Diallo, David G. Michelson. vtc 2007: 814-818 [doi]

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