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2020 – today
- 2024
[j20]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)- [j19]Yunjia Xi, Weiwen Liu, Xinyi Dai, Ruiming Tang, Qing Liu, Weinan Zhang, Yong Yu:
Utility-Oriented Reranking with Counterfactual Context. ACM Trans. Knowl. Discov. Data 18(8): 193:1-193:22 (2024) - [c50]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: 4363-4400 - [c49]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 - [c48]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 - [c47]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 - [c46]Yunjia Xi, Weiwen Liu, Jianghao Lin, Xiaoling Cai, Hong Zhu, Jieming Zhu, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu:
Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models. RecSys 2024: 12-22 - [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 - [i40]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) - [i39]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) - [i38]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) - [i37]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) - [i36]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) - [i35]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) - [i34]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) - [i33]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) - [i32]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) - [i31]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) - [i30]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) - [i29]Yunjia Xi, Hangyu Wang, Bo Chen, Jianghao Lin, Menghui Zhu, Weiwen Liu, Ruiming Tang, Weinan Zhang, Yong Yu:
A Decoding Acceleration Framework for Industrial Deployable LLM-based Recommender Systems. CoRR abs/2408.05676 (2024) - [i28]Yusheng Lu, Zhaocheng Du, Xiangyang Li, Xiangyu Zhao, Weiwen Liu, Yichao Wang, Huifeng Guo, Ruiming Tang, Zhenhua Dong, Yongrui Duan:
Prompt Tuning as User Inherent Profile Inference Machine. CoRR abs/2408.06577 (2024) - [i27]Yunjia Xi, Weiwen Liu, Jianghao Lin, Muyan Weng, Xiaoling Cai, Hong Zhu, Jieming Zhu, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang:
Efficient and Deployable Knowledge Infusion for Open-World Recommendations via Large Language Models. CoRR abs/2408.10520 (2024) - [i26]Weiwen Liu, Xu Huang, Xingshan Zeng, Xinlong Hao, Shuai Yu, Dexun Li, Shuai Wang, Weinan Gan, Zhengying Liu, Yuanqing Yu, Zezhong Wang, Yuxian Wang, Wu Ning, Yutai Hou, Bin Wang, Chuhan Wu, Xinzhi Wang, Yong Liu, Yasheng Wang, Duyu Tang, Dandan Tu, Lifeng Shang, Xin Jiang, Ruiming Tang, Defu Lian, Qun Liu, Enhong Chen:
ToolACE: Winning the Points of LLM Function Calling. CoRR abs/2409.00920 (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
[j20] [j19] [c47] [c46] [c45] [i40] [i38] [i36] [i35] [i34] [i33] [i31] [i30] [i29] [i28] [i27] [i26] [j17] [c43] [c41] [c40] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [i25] [i24] [i23] [i22] [i20] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [i19] [i18] [i17] [i16] [i15] [i14] [c20] [c19] [c18] [i13] [i12] [i11] [i10] [c17] [c14] [c6]
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