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Jin, Junqi
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1

Reduction of Pulsed Eddy Current Probe Footprint Using Sequ..:

Xu, Zhiyuan ; Zhu, Changchun ; Jin, Junqi.
Journal of Nondestructive Evaluation.  43 (2024)  2 - p. , 2024
Link: https://doi.org/10.1007/..
 
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2

Using the Nasdaq Index to Predict AAPL Price by Linear Regr..:

Jin, Junqi ; Ma, Haochen
BCP Business & Management.  40 (2023)  - p. 363-371 , 2023
Link: https://doi.org/10.54691..
 
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3

Study on the Effect of Metal Mesh on Pulsed Eddy-Current Te..:

Chen, Hanqing ; Xu, Zhiyuan ; Zhou, Zhen..
Materials.  16 (2023)  4 - p. 1451 , 2023
Link: https://doi.org/10.3390/..
 
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4

Hydrophobic modification improves the delivery of cell-pene..:

Tang, Qi ; Tan, Peng ; Dai, Zhaolai...
Acta Biomaterialia.  157 (2023)  - p. 210-224 , 2023
Link: https://doi.org/10.1016/..
 
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5

Control-based Bidding for Mobile Livestreaming Ads with Exp..:

, In: Proceedings of the 31st ACM International Conference on Information & Knowledge Management,
Zhang, Haoqi ; Jin, Junqi ; Zheng, Zhenzhe... - p. 2539-2548 , 2022
Link: https://dl.acm.org/doi/1..
 
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6

We Know What You Want: An Advertising Strategy Recommender ..:

, In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining,
Guo, Liyi ; Jin, Junqi ; Zhang, Haoqi... - p. 2919-2927 , 2021
Link: https://dl.acm.org/doi/1..
 
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7

Multi-objective Dynamic Auction Mechanism for Online Advert..:

, In: 2021 IEEE International Performance, Computing, and Communications Conference (IPCCC),
Wang, Yiqing ; Jin, Junqi ; Zheng, Zhenzhe... - p. 1-8 , 2021
Link: https://doi.org/10.1109/..
 
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8

Sequential Advertising Agent with Interpretable User Hidden..:

, In: Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems,
Peng, Zhaoqing ; Jin, Junqi ; Luo, Lan... - p. 1966-1968 , 2020
Link: https://dl.acm.org/doi/1..
 
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9

Learning to Infer User Hidden States for Online Sequential ..:

, In: Proceedings of the 29th ACM International Conference on Information & Knowledge Management,
Peng, Zhaoqing ; Jin, Junqi ; Luo, Lan... - p. 2677-2684 , 2020
Link: https://dl.acm.org/doi/1..
 
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10

A Deep Prediction Network for Understanding Advertiser Inte..:

, In: Proceedings of the 29th ACM International Conference on Information & Knowledge Management,
Guo, Liyi ; Lu, Rui ; Zhang, Haoqi... - p. 2501-2508 , 2020
Link: https://dl.acm.org/doi/1..
 
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11

Learning to Advertise for Organic Traffic Maximization in E..:

, In: Proceedings of the 28th ACM International Conference on Information and Knowledge Management,
Chen, Dagui ; Jin, Junqi ; Zhang, Weinan... - p. 2527-2535 , 2019
Link: https://dl.acm.org/doi/1..
 
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12

Learning Adaptive Display Exposure for Real-Time Advertisin:

, In: Proceedings of the 28th ACM International Conference on Information and Knowledge Management,
Wang, Weixun ; Jin, Junqi ; Hao, Jianye... - p. 2595-2603 , 2019
Link: https://dl.acm.org/doi/1..
 
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13

Real-Time Bidding with Multi-Agent Reinforcement Learning i..:

, In: Proceedings of the 27th ACM International Conference on Information and Knowledge Management,
Jin, Junqi ; Song, Chengru ; Li, Han... - p. 2193-2201 , 2018
Link: https://dl.acm.org/doi/1..
 
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14

Image-Text Surgery: Efficient Concept Learning in Image Cap..:

Fu, Kun ; Li, Jin ; Jin, Junqi.
IEEE Transactions on Neural Networks and Learning Systems.  29 (2018)  12 - p. 5910-5921 , 2018
Link: https://doi.org/10.1109/..
 
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15

Deep Interest Network for Click-Through Rate Prediction:

, In: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining,
Zhou, Guorui ; Zhu, Xiaoqiang ; Song, Chenru... - p. 1059-1068 , 2018
Link: https://dl.acm.org/doi/1..
 
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