Weiwen Liu

According to our database, Weiwen Liu authored at least 81 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Survey on Bid Optimization in Real-Time Bidding Display Advertising.

Weitong Ou, Bo Chen, Xinyi Dai, Weinan Zhang, Weiwen Liu, Ruiming Tang, Yong Yu

ACM Trans. Knowl. Discov. Data, April, 2024

Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models.

Yunjia Xi, Weiwen Liu, Jianghao Lin, Chuhan Wu, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu

CoRR, 2024

The 2nd Workshop on Recommendation with Generative Models.

Wenjie Wang, Yang Zhang, Xinyu Lin, Fuli Feng, Weiwen Liu, Yong Liu, Xiangyu Zhao, Wayne Xin Zhao, Yang Song, Xiangnan He

CoRR, 2024

Understanding the planning of LLM agents: A survey.

Xu Huang, Weiwen Liu, Xiaolong Chen, Xingmei Wang, Hao Wang, Defu Lian, Yasheng Wang, Ruiming Tang, Enhong Chen

CoRR, 2024

Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios.

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

CoRR, 2024

D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems.

Jiarui Qin, Weiwen Liu, Ruiming Tang, Weinan Zhang, Yong Yu

CoRR, 2024

An AUTOSAR Crypto Stack System for Supporting Automotive Electronic Information Security.

Yufeng Xu, Jiapeng Xiu, Bin Wen, Zhengqiu Yang, Shudi Wu, Weiwen Liu

Proceedings of the 2024 8th International Conference on Control Engineering and Artificial Intelligence, 2024

2023

Learning to Retrieve User Behaviors for Click-through Rate Estimation.

Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Guangpeng Zhao, Hao Li, Ruiming Tang, Xiuqiang He, Yong Yu

ACM Trans. Inf. Syst., October, 2023

Ten Challenges in Industrial Recommender Systems.

Zhenhua Dong, Jieming Zhu, Weiwen Liu, Ruiming Tang

CoRR, 2023

Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models.

Yunjia Xi, Weiwen Liu, Jianghao Lin, Jieming Zhu, Bo Chen, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu

CoRR, 2023

How Can Recommender Systems Benefit from Large Language Models: A Survey.

Jianghao Lin, Xinyi Dai, Yunjia Xi, Weiwen Liu, Bo Chen, Xiangyang Li, Chenxu Zhu, Huifeng Guo, Yong Yu, Ruiming Tang, Weinan Zhang

CoRR, 2023

Optical Neural Network in Free-Space and Nanophotonics.

Zhenlin Sun, Miao Yu, Zhengxun Song, Weiwen Liu, Gangyao Xing, Muhan Zhou

IEEE Access, 2023

Integrated Ranking for News Feed with Reinforcement Learning.

Menghui Zhu, Wei Xia, Weiwen Liu, Yifan Liu, Ruiming Tang, Weinan Zhang

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

A Bird's-eye View of Reranking: From List Level to Page Level.

Yunjia Xi, Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Rui Zhang, Ruiming Tang, Yong Yu

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

An F-shape Click Model for Information Retrieval on Multi-block Mobile Pages.

Lingyue Fu, Jianghao Lin, Weiwen Liu, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 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

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

User Behavior Modeling with Deep Learning for Recommendation: Recent Advances.

Weiwen Liu, Wei Guo, Yong Liu, Ruiming Tang, Hao Wang

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

On-device Integrated Re-ranking with Heterogeneous Behavior Modeling.

Yunjia Xi, Weiwen Liu, Yang Wang, Ruiming Tang, Weinan Zhang, Yue Zhu, Rui Zhang, Yong Yu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Deep Landscape Forecasting in Multi-Slot Real-Time Bidding.

Weitong Ou, Bo Chen, Yingxuan Yang, Xinyi Dai, Weiwen Liu, Weinan Zhang, Ruiming Tang, Yong Yu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

A Survey on User Behavior Modeling in Recommender Systems.

Zhicheng He, Weiwen Liu, Wei Guo, Jiarui Qin, Yingxue Zhang, Yaochen Hu, Ruiming Tang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Personalized Diversification for Neural Re-ranking in Recommendation.

Weiwen Liu, Yunjia Xi, Jiarui Qin, Xinyi Dai, Ruiming Tang, Shuai Li, Weinan Zhang, Rui Zhang

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

The 1st Workshop on Recommendation with Generative Models.

Wenjie Wang, Yong Liu, Yang Zhang, Weiwen Liu, Fuli Feng, Xiangnan He, Aixin Sun

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Optimal Real-Time Bidding Strategy for Position Auctions in Online Advertising.

Weitong Ou, Bo Chen, Weiwen Liu, Xinyi Dai, Weinan Zhang, Wei Xia, Xuan Li, Ruiming Tang, Yong Yu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Multi-domain Recommendation with Embedding Disentangling and Domain Alignment.

Wentao Ning, Xiao Yan, Weiwen Liu, Reynold Cheng, Rui Zhang, Bo Tang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

DFFM: Domain Facilitated Feature Modeling for CTR Prediction.

Wei Guo, Chenxu Zhu, Fan Yan, Bo Chen, Weiwen Liu, Huifeng Guo, Hongkun Zheng, Yong Liu, Ruiming Tang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Set-to-Sequence Ranking-Based Concept-Aware Learning Path Recommendation.

Xianyu Chen, Jian Shen, Wei Xia, Jiarui Jin, Yakun Song, Weinan Zhang, Weiwen Liu, Menghui Zhu, Ruiming Tang, Kai Dong, Dingyin Xia, Yong Yu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Item Relationship Graph Neural Networks for E-Commerce.

Weiwen Liu, Yin Zhang, Jianling Wang, Yun He, James Caverlee, Patrick P. K. Chan, Daniel S. Yeung, Pheng-Ann Heng

IEEE Trans. Neural Networks Learn. Syst., 2022

Adversarial Caching Training: Unsupervised Inductive Network Representation Learning on Large-Scale Graphs.

Junyang Chen, Zhiguo Gong, Wei Wang, Cong Wang, Zhenghua Xu, Jianming Lv, Xueliang Li, Kaishun Wu, Weiwen Liu

IEEE Trans. Neural Networks Learn. Syst., 2022

CRL: Collaborative Representation Learning by Coordinating Topic Modeling and Network Embeddings.

Junyang Chen, Zhiguo Gong, Wei Wang, Weiwen Liu, Xiao Dong

IEEE Trans. Neural Networks Learn. Syst., 2022

Self-Training Enhanced: Network Embedding and Overlapping Community Detection With Adversarial Learning.

Junyang Chen, Zhiguo Gong, Jiqian Mo, Wei Wang, Wei Wang, Cong Wang, Xiao Dong, Weiwen Liu, Kaishun Wu

IEEE Trans. Neural Networks Learn. Syst., 2022

PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation.

Yi Li, Jieming Zhu, Weiwen Liu, Liangcai Su, Guohao Cai, Qi Zhang, Ruiming Tang, Xi Xiao, Xiuqiang He

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Multi-Level Interaction Reranking with User Behavior History.

Yunjia Xi, Weiwen Liu, Jieming Zhu, Xilong Zhao, Xinyi Dai, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

RankFlow: Joint Optimization of Multi-Stage Cascade Ranking Systems as Flows.

Jiarui Qin, Jiachen Zhu, Bo Chen, Zhirong Liu, Weiwen Liu, Ruiming Tang, Rui Zhang, Yong Yu, Weinan Zhang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Neural Re-ranking for Multi-stage Recommender Systems.

Weiwen Liu, Jiarui Qin, Ruiming Tang, Bo Chen

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

CausalInt: Causal Inspired Intervention for Multi-Scenario Recommendation.

Yichao Wang, Huifeng Guo, Bo Chen, Weiwen Liu, Zhirong Liu, Qi Zhang, Zhicheng He, Hongkun Zheng, Weiwei Yao, Muyu Zhang, Zhenhua Dong, Ruiming Tang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Neural Re-ranking in Multi-stage Recommender Systems: A Review.

Weiwen Liu, Yunjia Xi, Jiarui Qin, Fei Sun, Bo Chen, Weinan Zhang, Rui Zhang, Ruiming Tang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Balancing Utility and Exposure Fairness for Integrated Ranking with Reinforcement Learning.

Wei Xia, Weiwen Liu, Yifan Liu, Ruiming Tang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Numerical Feature Representation with Hybrid <i>N</i>-ary Encoding.

Bo Chen, Huifeng Guo, Weiwen Liu, Yue Ding, Yunzhe Li, Wei Guo, Yichao Wang, Zhicheng He, Ruiming Tang, Rui Zhang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

TAM: Targeted Analysis Model With Reinforcement Learning on Short Texts.

Junyang Chen, Zhiguo Gong, Wei Wang, Weiwen Liu, Ming Yang, Cong Wang

IEEE Trans. Neural Networks Learn. Syst., 2021

HNS: Hierarchical negative sampling for network representation learning.

Junyang Chen, Zhiguo Gong, Wei Wang, Weiwen Liu

Inf. Sci., 2021

Context-aware Reranking with Utility Maximization for Recommendation.

Yunjia Xi, Weiwen Liu, Xinyi Dai, Ruiming Tang, Weinan Zhang, Qing Liu, Xiuqiang He, Yong Yu

CoRR, 2021

Balancing Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning.

Weiwen Liu, Feng Liu, Ruiming Tang, Ben Liao, Guangyong Chen, Pheng-Ann Heng

CoRR, 2021

An Adversarial Imitation Click Model for Information Retrieval.

Xinyi Dai, Jianghao Lin, Weinan Zhang, Shuai Li, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu

Proceedings of the WWW '21: The Web Conference 2021, 2021

A Graph-Enhanced Click Model for Web Search.

Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Shuai Li, Ruiming Tang, Xiuqiang He, Jianye Hao, Yong Yu

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Retrieval & Interaction Machine for Tabular Data Prediction.

Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Ruiming Tang, Xiuqiang He, Yong Yu

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

librec-auto: A Tool for Recommender Systems Experimentation.

Nasim Sonboli, Masoud Mansoury, Ziyue Guo, Shreyas Kadekodi, Weiwen Liu, Zijun Liu, Andrew Schwartz, Robin Burke

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Inter-sequence Enhanced Framework for Personalized Sequential Recommendation.

Feng Liu, Weiwen Liu, Xutao Li, Yunming Ye

CoRR, 2020

A Dirichlet process biterm-based mixture model for short text stream clustering.

Junyang Chen, Zhiguo Gong, Weiwen Liu

Appl. Intell., 2020

Consistency-Aware Recommendation for User-Generated Item List Continuation.

Yun He, Yin Zhang, Weiwen Liu, James Caverlee

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Opportunistic Multi-aspect Fairness through Personalized Re-ranking.

Nasim Sonboli, Farzad Eskandanian, Robin Burke, Weiwen Liu, Bamshad Mobasher

Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020

Wasserstein Collaborative Filtering for Item Cold-start Recommendation.

Yitong Meng, Xiao Yan, Weiwen Liu, Huanhuan Wu, James Cheng

Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020

Inductive Document Representation Learning for Short Text Clustering.

Junyang Chen, Zhiguo Gong, Wei Wang, Xiao Dong, Wei Wang, Weiwen Liu, Cong Wang, Xian Chen

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Balancing Between Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning.

Weiwen Liu, Feng Liu, Ruiming Tang, Ben Liao, Guangyong Chen, Pheng-Ann Heng

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

PMD: An Optimal Transportation-Based User Distance for Recommender Systems.

Yitong Meng, Xinyan Dai, Xiao Yan, James Cheng, Weiwen Liu, Jun Guo, Benben Liao, Guangyong Chen

Proceedings of the Advances in Information Retrieval, 2020

Adversarial Learning for Overlapping Community Detection and Network Embedding.

Junyang Chen, Zhiguo Gong, Quanyu Dai, Chunyuan Yuan, Weiwen Liu

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Personalized Re-ranking with Item Relationships for E-commerce.

Weiwen Liu, Qing Liu, Ruiming Tang, Junyang Chen, Xiuqiang He, Pheng-Ann Heng

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

A nonparametric model for online topic discovery with word embeddings.

Junyang Chen, Zhiguo Gong, Weiwen Liu

Inf. Sci., 2019

Consistency-Aware Recommendation for User-Generated ItemList Continuation.

Yun He, Yin Zhang, Weiwen Liu, James Caverlee

CoRR, 2019

Contextual Combinatorial Conservative Bandits.

Xiaojin Zhang, Shuai Li, Weiwen Liu

CoRR, 2019

Wasserstein Collaborative Filtering for Item Cold-start Recommendation.

Yitong Meng, Guangyong Chen, Benben Liao, Jun Guo, Weiwen Liu

CoRR, 2019

PMD: A New User Distance for Recommender Systems.

Yitong Meng, Weiwen Liu, Benben Liao, Jun Guo, Guangyong Chen

CoRR, 2019

Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models.

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

CoRR, 2019

Utilizing Edge Features in Graph Neural Networks via Variational Information Maximization.

Pengfei Chen, Weiwen Liu, Chang-Yu Hsieh, Guangyong Chen, Shengyu Zhang

CoRR, 2019

Personalized fairness-aware re-ranking for microlending.

Weiwen Liu, Jun Guo, Nasim Sonboli, Robin Burke, Shengyu Zhang

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

2018

Face Liveness Detection Using a Flash Against 2D Spoofing Attack.

Patrick P. K. Chan, Weiwen Liu, Danni Chen, Daniel S. Yeung, Fei Zhang, Xizhao Wang, Chien-Chang Hsu

IEEE Trans. Inf. Forensics Secur., 2018

Personalizing Fairness-aware Re-ranking.

Weiwen Liu, Robin Burke

CoRR, 2018

Field-aware probabilistic embedding neural network for CTR prediction.

Weiwen Liu, Ruiming Tang, Jiajin Li, Jinkai Yu, Huifeng Guo, Xiuqiang He, Shengyu Zhang

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

A Coaxial Vision Assembly Algorithm for Un-centripetal Holes on Large-scale Stereo Workpiece Using Multiple-DOF Robot.

Zhan Yang, Weiwen Liu, Hongbing Li, Zheng Li

Proceedings of the 2018 IEEE International Conference on Imaging Systems and Techniques, 2018

Contextual Dependent Click Bandit Algorithm for Web Recommendation.

Weiwen Liu, Shuai Li, Shengyu Zhang

Proceedings of the Computing and Combinatorics - 24th International Conference, 2018

2016

Development of a human-arm like laparoscopic instrument.

Hongbing Li, Weiwen Liu, Kenji Kawashima

Proceedings of the 2016 IEEE International Conference on Robotics and Biomimetics, 2016

2014

f4: Facebook's Warm BLOB Storage System.

Muralidhar Subramanian, Wyatt Lloyd, Sabyasachi Roy, Cory Hill, Ernest Lin, Weiwen Liu, Satadru Pan, Shiva Shankar, Sivakumar Viswanathan, Linpeng Tang, Sanjeev Kumar

Proceedings of the 11th USENIX Symposium on Operating Systems Design and Implementation, 2014

2012

Research on Combinatorial-Code Grating Eddy-Current Absolute-Position Sensor.

Weiwen Liu, Hui Zhao, Wei Tao, Chunfeng Lv

IEEE Trans. Instrum. Meas., 2012

Design of Compensation Coils for EMI Suppression in Magnetostrictive Linear Position Sensors.

Yongjie Zhang, Weiwen Liu, Jinfeng Yang, Chunfeng Lv, Hui Zhao

Sensors, 2012

Experimental Estimating Deflection of a Simple Beam Bridge Model Using Grating Eddy Current Sensors.

Chunfeng Lü, Weiwen Liu, Yongjie Zhang, Hui Zhao

Sensors, 2012

2011

Design and Analysis of a Differential Waveguide Structure to Improve Magnetostrictive Linear Position Sensors.

Yongjie Zhang, Weiwen Liu, Haibo Zhang, Jinfeng Yang, Hui Zhao

Sensors, 2011

2010

Effect of Turbulence Layer Height and Satellite Altitude on Tropospheric Scintillation on Ka-Band Earth-LEO Satellite Links.

Weiwen Liu, David G. Michelson

IEEE Trans. Veh. Technol., 2010

2009

Fade Slope Analysis of Ka-Band Earth-LEO Satellite Links Using a Synthetic Rain Field Model.

Weiwen Liu, David G. Michelson

IEEE Trans. Veh. Technol., 2009

Research on Novel Grating Eddy-Current Absolute-Position Sensor.

Weiwen Liu, Hui Zhao, Hongli Qi

IEEE Trans. Instrum. Meas., 2009

Simulation of rain fading and scintillation on Ka-band Earth-LEO satellite links.

David G. Michelson, Weiwen Liu

Proceedings of the 22nd Canadian Conference on Electrical and Computer Engineering, 2009

2008

Multi-parameters Optimization and Nonlinearity Analysis of the Grating Eddy Current Displacement Sensor.

Hongli Qi, Hui Zhao, Weiwen Liu

Proceedings of the 2008 IEEE Conference on Robotics, Automation and Mechatronics, 2008

2007

Fade Slope Analysis of Ka-Band LEO Satellite Links.

Weiwen Liu, Boubacar Diallo, David G. Michelson

Proceedings of the 66th IEEE Vehicular Technology Conference, 2007