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2020 – today
- 2025
[j8]Jianghao Lin, Xinyi Dai, Rong Shan, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang:
Large language models make sample-efficient recommender systems. Frontiers Comput. Sci. 19(4): 194328 (2025)- 2024
- [j7]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) - [j6]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) - [j5]Zhengbang Zhu, Rongjun Qin, Junjie Huang, Xinyi Dai, Yang Yu, Yong Yu, Weinan Zhang:
Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems. ACM Trans. Inf. Syst. 42(4): 90:1-90:32 (2024) - [c18]Kounianhua Du, Jizheng Chen, Jianghao Lin, Yunjia Xi, Hangyu Wang, Xinyi Dai, Bo Chen, Ruiming Tang, Weinan Zhang:
DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation. KDD 2024: 666-676 - [c17]Yang Yang, Bo Chen, Chenxu Zhu, Menghui Zhu, Xinyi Dai, Huifeng Guo, Muyu Zhang, Zhenhua Dong, Ruiming Tang:
AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising. RecSys 2024: 633-642 - [c16]Jianghao Lin, Bo Chen, Hangyu Wang, Yunjia Xi, Yanru Qu, Xinyi Dai, Kangning Zhang, Ruiming Tang, Yong Yu, Weinan Zhang:
ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction. WWW 2024: 3319-3330 - [i22]Wenlin Zhang, Chuhan Wu, Xiangyang Li, Yuhao Wang, Kuicai Dong, Yichao Wang, Xinyi Dai, Xiangyu Zhao, Huifeng Guo, Ruiming Tang:
Tired of Plugins? Large Language Models Can Be End-To-End Recommenders. CoRR abs/2404.00702 (2024) - [i21]Kounianhua Du, Jizheng Chen, Jianghao Lin, Yunjia Xi, Hangyu Wang, Xinyi Dai, Bo Chen, Ruiming Tang, Weinan Zhang:
DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation. CoRR abs/2406.00011 (2024) - [i20]Jianghao Lin, Xinyi Dai, Rong Shan, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang:
Large Language Models Make Sample-Efficient Recommender Systems. CoRR abs/2406.02368 (2024) - [i19]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) - [i18]Jiachen Zhu, Jianghao Lin, Xinyi Dai, Bo Chen, Rong Shan, Jieming Zhu, Ruiming Tang, Yong Yu, Weinan Zhang:
Lifelong Personalized Low-Rank Adaptation of Large Language Models for Recommendation. CoRR abs/2408.03533 (2024) - [i17]Yang Yang, Bo Chen, Chenxu Zhu, Menghui Zhu, Xinyi Dai, Huifeng Guo, Muyu Zhang, Zhenhua Dong, Ruiming Tang:
AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising. CoRR abs/2408.07907 (2024) - [i16]Qingyao Li, Wei Xia, Kounianhua Du, Xinyi Dai, Ruiming Tang, Yasheng Wang, Yong Yu, Weinan Zhang:
RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation. CoRR abs/2409.09584 (2024) - 2023
- [j4]Jie Chen, Xinyi Dai, Ya Guo, Jingru Zhu, Xiaoming Mei, Min Deng, Geng Sun:
Urban Built Environment Assessment Based on Scene Understanding of High-Resolution Remote Sensing Imagery. Remote. Sens. 15(5): 1436 (2023) - [c15]Mengdi Chu, Keyu Zong, Xin Shu, Jiangtao Gong, Zhicong Lu, Kaimin Guo, Xinyi Dai, Guyue Zhou:
Work with AI and Work for AI: Autonomous Vehicle Safety Drivers' Lived Experiences. CHI 2023: 753:1-753:16 - [c14]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 - [c13]Yao Li, Yifan Liu, Xinyi Dai, Jianghao Lin, Hang Lai, Yunfei Liu, Yong Yu:
Adversarially Trained Environment Models Are Effective Policy Evaluators and Improvers - An Application to Information Retrieval. DAI 2023: 8:1-8:12 - [c12]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 - [c11]Jianghao Lin, Yanru Qu, Wei Guo, Xinyi Dai, Ruiming Tang, Yong Yu, Weinan Zhang:
MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction. KDD 2023: 1384-1395 - [c10]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 - [c9]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 - [i15]Mengdi Chu, Keyu Zong, Xin Shu, Jiangtao Gong, Zhicong Lu, Kaimin Guo, Xinyi Dai, Guyue Zhou:
Work with AI and Work for AI: Autonomous Vehicle Safety Drivers' Lived Experiences. CoRR abs/2303.04986 (2023) - [i14]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) - [i13]Jianghao Lin, Yanru Qu, Wei Guo, Xinyi Dai, Ruiming Tang, Yong Yu, Weinan Zhang:
MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction. CoRR abs/2308.01737 (2023) - [i12]Jianghao Lin, Bo Chen, Hangyu Wang, Yunjia Xi, Yanru Qu, Xinyi Dai, Kangning Zhang, Ruiming Tang, Yong Yu, Weinan Zhang:
ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction. CoRR abs/2310.09234 (2023) - 2022
- [j3]Xinyi Dai, Lei Xu, Jia Liu:
A co-word analysis of museum tourism experience via hierarchy of needs: Case study of the China Block Printing Museum at Yangzhou. J. Comput. Methods Sci. Eng. 22(6): 1835-1849 (2022) - [j2]Xinyi Dai, Yunjia Xi, Weinan Zhang, Qing Liu, Ruiming Tang, Xiuqiang He, Jiawei Hou, Jun Wang, Yong Yu:
Beyond Relevance Ranking: A General Graph Matching Framework for Utility-Oriented Learning to Rank. ACM Trans. Inf. Syst. 40(2): 25:1-25:29 (2022) - [c8]Jianfeng Chi, Jian Shen, Xinyi Dai, Weinan Zhang, Yuan Tian, Han Zhao:
Towards Return Parity in Markov Decision Processes. AISTATS 2022: 1161-1178 - [c7]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 - [i11]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) - [i10]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) - [i9]Khalid Oublal, Xinyi Dai:
An advanced combination of semi-supervised Normalizing Flow & Yolo (YoloNF) to detect and recognize vehicle license plates. CoRR abs/2207.10777 (2022) - [i8]Zhengbang Zhu, Rongjun Qin, Junjie Huang, Xinyi Dai, Yang Yu, Yong Yu, Weinan Zhang:
Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems. CoRR abs/2210.05662 (2022) - [i7]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
- [c6]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 - [c5]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 - [i6]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) - [i5]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) - [i4]Jianfeng Chi, Jian Shen, Xinyi Dai, Weinan Zhang, Yuan Tian, Han Zhao:
Towards Return Parity in Markov Decision Processes. CoRR abs/2111.10476 (2021) - 2020
- [c4]Xinyi Dai, Jiawei Hou, Qing Liu, Yunjia Xi, Ruiming Tang, Weinan Zhang, Xiuqiang He, Jun Wang, Yong Yu:
U-rank: Utility-oriented Learning to Rank with Implicit Feedback. CIKM 2020: 2373-2380 - [c3]Sijin Zhou, Xinyi Dai, Haokun Chen, Weinan Zhang, Kan Ren, Ruiming Tang, Xiuqiang He, Yong Yu:
Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning. SIGIR 2020: 179-188 - [i3]Sijin Zhou, Xinyi Dai, Haokun Chen, Weinan Zhang, Kan Ren, Ruiming Tang, Xiuqiang He, Yong Yu:
Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning. CoRR abs/2006.10389 (2020) - [i2]Xinyi Dai, Jiawei Hou, Qing Liu, Yunjia Xi, Ruiming Tang, Weinan Zhang, Xiuqiang He, Jun Wang, Yong Yu:
U-rank: Utility-oriented Learning to Rank with Implicit Feedback. CoRR abs/2011.00550 (2020)
2010 – 2019
- 2019
- [j1]Yazhou Ren, Kangrong Hu, Xinyi Dai, Lili Pan, Steven C. H. Hoi, Zenglin Xu:
Semi-supervised deep embedded clustering. Neurocomputing 325: 121-130 (2019) - [c2]Haokun Chen, Xinyi Dai, Han Cai, Weinan Zhang, Xuejian Wang, Ruiming Tang, Yuzhou Zhang, Yong Yu:
Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient. AAAI 2019: 3312-3320 - 2018
- [c1]Zhengyang He, Kai Ren, Jiayan Chen, Xinyi Dai, Zhao Pan, Yuejun Zhang:
Design of Delayed Ternary PUF Circuit Based on CNFET. APCC 2018: 503-507 - [i1]Haokun Chen, Xinyi Dai, Han Cai, Weinan Zhang, Xuejian Wang, Ruiming Tang, Yuzhou Zhang, Yong Yu:
Large-scale Interactive Recommendation with Tree-structured Policy Gradient. CoRR abs/1811.05869 (2018)
Coauthor Index
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last updated on 2024-12-11 21:39 CET by the dblp team
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