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Xingxing Wang
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2020 – today
- 2025
- [j16]Weide Liu, Jieming Lou, Xingxing Wang, Wei Zhou, Jun Cheng, Xulei Yang:
Physically-guided open vocabulary segmentation with weighted patched alignment loss. Neurocomputing 614: 128788 (2025) - 2024
- [j15]Fanyong Meng, Dong Qing, Yating Zhang, Xingxing Wang:
Physical and internet medical system: Service quality and management mode analysis. Comput. Ind. Eng. 197: 110539 (2024) - [j14]Zhongbao Wang, Jinliang Gu, Xingxing Wang, Weihua Zhu, Zhijun Teng:
Analysis of Capacity of the Improved Space-Time Block Code Based on MIMO System. J. Adv. Comput. Intell. Intell. Informatics 28(4): 829-834 (2024) - [j13]Hongjie Yuan, Weizhang Xu, Yuhuan Wang, Xingxing Wang:
Channel-Blind Joint Source-Channel Coding for Wireless Image Transmission. Sensors 24(12): 4005 (2024) - [j12]Meiao Wang, Zhangjun Wu, Xingxing Wang:
Fusing global features and local information for COVID-19 detection with X-ray images. Signal Image Video Process. 18(3): 2643-2657 (2024) - [j11]Hao Wang, Bo Tang, Chi Harold Liu, Shangqin Mao, Jiahong Zhou, Zipeng Dai, Yaqi Sun, Qianlong Xie, Xingxing Wang, Dong Wang:
HiBid: A Cross-Channel Constrained Bidding System With Budget Allocation by Hierarchical Offline Deep Reinforcement Learning. IEEE Trans. Computers 73(3): 815-828 (2024) - [c41]Jiaqi Song, Xingxing Wang, Huihui Zhang, Bohan Li, Tiexin Wang:
A Boundary Feature Enhanced Span-Based Nested Named Entity Recognition Method. APWeb/WAIM (1) 2024: 3-17 - [c40]Yadong Zhang, Yuqing Song, Siyu Lu, Qiang Liu, Xingxing Wang:
VIER: Visual Imagination Enhanced Retrieval in Sponsored Search. CIKM 2024: 4293-4297 - [c39]Zifan Wu, Bo Tang, Qian Lin, Chao Yu, Shangqin Mao, Qianlong Xie, Xingxing Wang, Dong Wang:
Off-Policy Primal-Dual Safe Reinforcement Learning. ICLR 2024 - [c38]Zhen Zhang, Weian Li, Yahui Lei, Bingzhe Wang, Zhicheng Zhang, Qi Qi, Qiang Liu, Xingxing Wang:
Joint Auction in the Online Advertising Market. KDD 2024: 4362-4373 - [c37]Xuejian Li, Ze Wang, Bingqi Zhu, Fei He, Yongkang Wang, Xingxing Wang:
Deep Automated Mechanism Design for Integrating Ad Auction and Allocation in Feed. SIGIR 2024: 1211-1220 - [c36]Yantong Lai, Yijun Su, Lingwei Wei, Tianqi He, Haitao Wang, Gaode Chen, Daren Zha, Qiang Liu, Xingxing Wang:
Disentangled Contrastive Hypergraph Learning for Next POI Recommendation. SIGIR 2024: 1452-1462 - [c35]Yuchao Ma, Weian Li, Wanzhi Zhang, Yahui Lei, Zhicheng Zhang, Qi Qi, Qiang Liu, Xingxing Wang:
Joint Bidding in Ad Auctions. TAMC 2024: 344-354 - [c34]Zhiyuan Zhang, Qichao Zhang, Xiaoxu Wu, Xiaowen Shi, Guogang Liao, Yongkang Wang, Xingxing Wang, Dongbin Zhao:
User Response Modeling in Reinforcement Learning for Ads Allocation. WWW (Companion Volume) 2024: 131-140 - [c33]Zhaolin Hong, Haitao Wang, Chengjie Qian, Wei Chen, Tianqi He, Yajie Zou, Qiang Liu, Xingxing Wang:
PRINT: Personalized Relevance Incentive Network for CTR Prediction in Sponsored Search. WWW (Companion Volume) 2024: 190-195 - [c32]Yadong Zhang, Siyu Lu, Qiang Liu, Xingxing Wang:
DiffuRetrieval: A Chain-of-Thought Enhanced Diffusion Retrieval in Sponsored Search. WWW (Companion Volume) 2024: 533-536 - [i25]Jiahong Zhou, Shunhui Mao, Guoliang Yang, Bo Tang, Qianlong Xie, Lebin Lin, Xingxing Wang, Dong Wang:
RL-MPCA: A Reinforcement Learning Based Multi-Phase Computation Allocation Approach for Recommender Systems. CoRR abs/2401.01369 (2024) - [i24]Xuejian Li, Ze Wang, Bingqi Zhu, Fei He, Yongkang Wang, Xingxing Wang:
Deep Automated Mechanism Design for Integrating Ad Auction and Allocation in Feed. CoRR abs/2401.01656 (2024) - [i23]Zifan Wu, Bo Tang, Qian Lin, Chao Yu, Shangqin Mao, Qianlong Xie, Xingxing Wang, Dong Wang:
Off-Policy Primal-Dual Safe Reinforcement Learning. CoRR abs/2401.14758 (2024) - [i22]Weide Liu, Xingxing Wang, Lu Wang, Jun Cheng, Fayao Liu, Xulei Yang:
Gaussian Mixture based Evidential Learning for Stereo Matching. CoRR abs/2408.02796 (2024) - [i21]Zhen Zhang, Weian Li, Yahui Lei, Bingzhe Wang, Zhicheng Zhang, Qi Qi, Qiang Liu, Xingxing Wang:
Joint Auction in the Online Advertising Market. CoRR abs/2408.09885 (2024) - 2023
- [j10]Xingxing Wang, Yuechao Ma:
Adaptive non-fragile sliding mode control for switched semi-Markov jump system with time-delay and attack via reduced-order method. Appl. Math. Comput. 440: 127670 (2023) - [j9]Junhong Liu, Yongmi Zhang, Yanhong Li, Yulei Liu, Xingxing Wang, Lei Zhao, Qiguang Liang, Jun Ye:
Innovative Energy Management System for Energy Storage Systems of Multiple-Type with Cascade Utilization Battery. J. Circuits Syst. Comput. 32(12): 2350198:1-2350198:19 (2023) - [c31]Xiang Li, Shuwei Chen, Jian Dong, Jin Zhang, Yongkang Wang, Xingxing Wang, Dong Wang:
Decision-Making Context Interaction Network for Click-Through Rate Prediction. AAAI 2023: 5195-5202 - [c30]Xingxing Wang, Peilin Ye, Yelin Deng, Yinnan Yuan, Yu Zhu, Hongjun Ni:
MixPCD: a novel method of constructing driving cycle for electric bus with sparse data. IEEE Big Data 2023: 2639-2647 - [c29]Xiao Zhou, Ran Wang, Haorui Li, Qiang Liu, Xingxing Wang, Dong Wang:
LEAD-ID: Language-Enhanced Denoising and Intent Distinguishing Graph Neural Network for Sponsored Search Broad Retrievals. CIKM 2023: 4460-4464 - [c28]Tianchi Yang, Haihan Gao, Cheng Yang, Chuan Shi, Qianlong Xie, Xingxing Wang, Dong Wang:
Memory-Enhanced Period-Aware Graph Neural Network for General POI Recommendation. DASFAA (2) 2023: 462-472 - [c27]Qian Lin, Bo Tang, Zifan Wu, Chao Yu, Shangqin Mao, Qianlong Xie, Xingxing Wang, Dong Wang:
Safe Offline Reinforcement Learning with Real-Time Budget Constraints. ICML 2023: 21127-21152 - [c26]Xiaowen Shi, Fan Yang, Ze Wang, Xiaoxu Wu, Muzhi Guan, Guogang Liao, Yongkang Wang, Xingxing Wang, Dong Wang:
PIER: Permutation-Level Interest-Based End-to-End Re-ranking Framework in E-commerce. KDD 2023: 4823-4831 - [c25]Wei Zhang, Pengye Zhang, Bo Zhang, Xingxing Wang, Dong Wang:
A Collaborative Transfer Learning Framework for Cross-domain Recommendation. KDD 2023: 5576-5585 - [c24]Yimin Lv, Shuli Wang, Beihong Jin, Yisong Yu, Yapeng Zhang, Jian Dong, Yongkang Wang, Xingxing Wang, Dong Wang:
Deep Situation-Aware Interaction Network for Click-Through Rate Prediction. RecSys 2023: 171-182 - [c23]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 - [c22]Tianqi He, Kaiyuan Li, Shan Chen, Haitao Wang, Qiang Liu, Xingxing Wang, Dong Wang:
DMBIN: A Dual Multi-behavior Interest Network for Click-Through Rate Prediction via Contrastive Learning. SIGIR 2023: 1366-1375 - [c21]Xiang Li, Shuwei Chen, Jian Dong, Jin Zhang, Yongkang Wang, Xingxing Wang, Dong Wang:
Context-Aware Modeling via Simulated Exposure Page for CTR Prediction. SIGIR 2023: 1904-1908 - [c20]Xiaowen Shi, Ze Wang, Yuanying Cai, Xiaoxu Wu, Fan Yang, Guogang Liao, Yongkang Wang, Xingxing Wang, Dong Wang:
MDDL: A Framework for Reinforcement Learning-based Position Allocation in Multi-Channel Feed. SIGIR 2023: 2159-2163 - [c19]Xingxing Wang, Yue Bao, Yanling Li, Fengpei Ge, Yaohui Qi, Sukun Wang:
Research on MacBERT-Based Multi-Type Questions Extractive Machine Reading Comprehension. SMC 2023: 82-88 - [c18]Jian Dong, Yisong Yu, Yapeng Zhang, Yimin Lv, Shuli Wang, Beihong Jin, Yongkang Wang, Xingxing Wang, Dong Wang:
A Deep Behavior Path Matching Network for Click-Through Rate Prediction. WWW (Companion Volume) 2023: 538-542 - [c17]Kaiyuan Li, Pengfei Wang, Haitao Wang, Qiang Liu, Xingxing Wang, Dong Wang, Shangguang Wang:
Communicative MARL-based Relevance Discerning Network for Repetition-Aware Recommendation. WWW 2023: 1231-1239 - [c16]Jiahong Zhou, Shunhui Mao, Guoliang Yang, Bo Tang, Qianlong Xie, Lebin Lin, Xingxing Wang, Dong Wang:
RL-MPCA: A Reinforcement Learning Based Multi-Phase Computation Allocation Approach for Recommender Systems. WWW 2023: 3214-3224 - [i20]Xiang Li, Shuwei Chen, Jian Dong, Jin Zhang, Yongkang Wang, Xingxing Wang, Dong Wang:
Decision-Making Context Interaction Network for Click-Through Rate Prediction. CoRR abs/2301.12402 (2023) - [i19]Jian Dong, Yisong Yu, Yapeng Zhang, Yimin Lv, Shuli Wang, Beihong Jin, Yongkang Wang, Xingxing Wang, Dong Wang:
A Deep Behavior Path Matching Network for Click-Through Rate Prediction. CoRR abs/2302.00302 (2023) - [i18]Xiaowen Shi, Fan Yang, Ze Wang, Xiaoxu Wu, Muzhi Guan, Guogang Liao, Yongkang Wang, Xingxing Wang, Dong Wang:
PIER: Permutation-Level Interest-Based End-to-End Re-ranking Framework in E-commerce. CoRR abs/2302.03487 (2023) - [i17]Xiaowen Shi, Ze Wang, Yuanying Cai, Xiaoxu Wu, Fan Yang, Guogang Liao, Yongkang Wang, Xingxing Wang, Dong Wang:
MDDL: A Framework for Reinforcement Learning-based Position Allocation in Multi-Channel Feed. CoRR abs/2304.09087 (2023) - [i16]Qian Lin, Bo Tang, Zifan Wu, Chao Yu, Shangqin Mao, Qianlong Xie, Xingxing Wang, Dong Wang:
Safe Offline Reinforcement Learning with Real-Time Budget Constraints. CoRR abs/2306.00603 (2023) - [i15]Huinan Sun, Guangliang Yu, Pengye Zhang, Bo Zhang, Xingxing Wang, Dong Wang:
Graph Based Long-Term And Short-Term Interest Model for Click-Through Rate Prediction. CoRR abs/2306.10028 (2023) - [i14]Wei Zhang, Pengye Zhang, Bo Zhang, Xingxing Wang, Dong Wang:
A Collaborative Transfer Learning Framework for Cross-domain Recommendation. CoRR abs/2306.16425 (2023) - [i13]Wei Zhang, Ping Zhang, Jian Dong, Yongkang Wang, Pengye Zhang, Bo Zhang, Xingxing Wang, Dong Wang:
Cross-Element Combinatorial Selection for Multi-Element Creative in Display Advertising. CoRR abs/2307.01593 (2023) - [i12]Shuwei Chen, Xiang Li, Jian Dong, Jin Zhang, Yongkang Wang, Xingxing Wang:
TBIN: Modeling Long Textual Behavior Data for CTR Prediction. CoRR abs/2308.08483 (2023) - [i11]Junyan Qiu, Haitao Wang, Zhaolin Hong, Yiping Yang, Qiang Liu, Xingxing Wang:
ControlRec: Bridging the Semantic Gap between Language Model and Personalized Recommendation. CoRR abs/2311.16441 (2023) - [i10]Hao Wang, Bo Tang, Chi Harold Liu, Shangqin Mao, Jiahong Zhou, Zipeng Dai, Yaqi Sun, Qianlong Xie, Xingxing Wang, Dong Wang:
HiBid: A Cross-Channel Constrained Bidding System with Budget Allocation by Hierarchical Offline Deep Reinforcement Learning. CoRR abs/2312.17503 (2023) - 2022
- [j8]Xingxing Wang, Anjian Wang, Weiqiong Zhong, Depeng Zhu:
Research on Nickel Material Trade Redistribution Strategy Based on the Maximum Entropy Principle. Entropy 24(7): 938 (2022) - [j7]Danxia Wang, Xingxing Wang, Hongen Jia:
A second order linear energy stable numerical method for the Cahn-Hilliard-Hele-Shaw system. J. Comput. Appl. Math. 403: 113788 (2022) - [j6]Xingxing Wang, Yuechao Ma:
Observer-based finite-time asynchronous sliding mode control for Markov jump systems with time-varying delay. J. Frankl. Inst. 359(11): 5488-5511 (2022) - [c15]Huinan Sun, Guangliang Yu, Pengye Zhang, Bo Zhang, Xingxing Wang, Dong Wang:
Graph Based Long-Term And Short-Term Interest Model for Click-Through Rate Prediction. CIKM 2022: 1818-1826 - [c14]Ze Wang, Guogang Liao, Xiaowen Shi, Xiaoxu Wu, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang:
Learning List-wise Representation in Reinforcement Learning for Ads Allocation with Multiple Auxiliary Tasks. CIKM 2022: 3555-3564 - [c13]Ze Wang, Guogang Liao, Xiaowen Shi, Xiaoxu Wu, Chuheng Zhang, Bingqi Zhu, Yongkang Wang, Xingxing Wang, Dong Wang:
Hybrid Transfer in Deep Reinforcement Learning for Ads Allocation. CIKM 2022: 4560-4564 - [c12]Guogang Liao, Xiaowen Shi, Ze Wang, Xiaoxu Wu, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang:
Deep Page-Level Interest Network in Reinforcement Learning for Ads Allocation. SIGIR 2022: 2292-2296 - [c11]Guogang Liao, Ze Wang, Xiaoxu Wu, Xiaowen Shi, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang:
Cross DQN: Cross Deep Q Network for Ads Allocation in Feed. WWW 2022: 401-409 - [i9]Guogang Liao, Xiaowen Shi, Ze Wang, Xiaoxu Wu, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang:
Deep Page-Level Interest Network in Reinforcement Learning for Ads Allocation. CoRR abs/2204.00377 (2022) - [i8]Guogang Liao, Ze Wang, Xiaowen Shi, Xiaoxu Wu, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang:
Learning List-wise Representation in Reinforcement Learning for Ads Allocation with Multiple Auxiliary Tasks. CoRR abs/2204.00888 (2022) - [i7]Guogang Liao, Ze Wang, Xiaowen Shi, Xiaoxu Wu, Chuheng Zhang, Bingqi Zhu, Yongkang Wang, Xingxing Wang, Dong Wang:
Hybrid Transfer in Deep Reinforcement Learning for Ads Allocation. CoRR abs/2204.11589 (2022) - [i6]Guogang Liao, Xuejian Li, Ze Wang, Fan Yang, Muzhi Guan, Bingqi Zhu, Yongkang Wang, Xingxing Wang, Dong Wang:
NMA: Neural Multi-slot Auctions with Externalities for Online Advertising. CoRR abs/2205.10018 (2022) - 2021
- [i5]Guogang Liao, Ze Wang, Xiaoxu Wu, Xiaowen Shi, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang:
Cross DQN: Cross Deep Q Network for Ads Allocation in Feed. CoRR abs/2109.04353 (2021) - 2020
- [j5]Wei Liu, Fengpeng Li, Cheng Jing, Yidong Wan, Xingxing Wang, M. Helali:
Research on torque fluctuation suppression method of linear motor based on magnetic field orientation control. Trans. Emerg. Telecommun. Technol. 31(12) (2020)
2010 – 2019
- 2019
- [c10]Shuaishuai Lv, Kaifeng Du, Hongjun Ni, Xingxing Wang, Yu Zhu, Yi Lu, Hai Gu, Yuanyuan Xu:
Three-dimensional Modeling and Rapid Prototyping of the Sake Bottle Based on Reverse Engineering. AIAM (ACM) 2019: 12:1-12:5 - [c9]Hongjun Ni, Weijia Tang, Shuaishuai Lv, Yu Zhu, Xingxing Wang, Kaixuan Wang, Tiancheng Huang, Jianhua Sun:
Three-Dimension Model and Rapid Prototyping of Car Interior Handle Based on Reverse Engineering. AIAM (ACM) 2019: 14:1-14:5 - [c8]Xingxing Wang, Yuxiang Zhou, Hongjun Ni, Shuaishuai Lv, Yu Zhu, Bin Li, Jie Zhang, Zijin Wang:
Study on Parametric Design and 3D Printing of Bone Gypsum Replacement Plastic Parts. AIAM (ACM) 2019: 16:1-16:8 - 2018
- [j4]Zhenhua Wang, Xingxing Wang, Gang Wang:
Learning fine-grained features via a CNN Tree for Large-scale Classification. Neurocomputing 275: 1231-1240 (2018) - [j3]Jiuxiang Gu, Zhenhua Wang, Jason Kuen, Lianyang Ma, Amir Shahroudy, Bing Shuai, Ting Liu, Xingxing Wang, Gang Wang, Jianfei Cai, Tsuhan Chen:
Recent advances in convolutional neural networks. Pattern Recognit. 77: 354-377 (2018) - [c7]Rui Xu, Xiaojun Chen, Xingxing Wang, Jinqiao Shi:
An In-depth Study of Digits in Passwords for Chinese Websites. DSC 2018: 588-595 - [c6]Xingxing Wang, Sian Cong:
An advanced algorithm for Fingerprint Localization based on Kalman Filter. UPINLBS 2018: 1-5 - 2017
- [c5]Xingxing Wang, Dakui Wang, Xiaojun Chen, Rui Xu, Jinqiao Shi, Li Guo:
Improving Password Guessing Using Byte Pair Encoding. ISC 2017: 254-268 - 2016
- [j2]Xiaojiang Peng, Limin Wang, Xingxing Wang, Yu Qiao:
Bag of visual words and fusion methods for action recognition: Comprehensive study and good practice. Comput. Vis. Image Underst. 150: 109-125 (2016) - [j1]Zhen Zuo, Bing Shuai, Gang Wang, Xiao Liu, Xingxing Wang, Bing Wang, Yushi Chen:
Learning Contextual Dependence With Convolutional Hierarchical Recurrent Neural Networks. IEEE Trans. Image Process. 25(7): 2983-2996 (2016) - 2015
- [c4]Zhen Zuo, Bing Shuai, Gang Wang, Xiao Liu, Xingxing Wang, Bing Wang, Yushi Chen:
Convolutional recurrent neural networks: Learning spatial dependencies for image representation. CVPR Workshops 2015: 18-26 - [i4]Zhen Zuo, Bing Shuai, Gang Wang, Xiao Liu, Xingxing Wang, Bing Wang:
Learning Contextual Dependencies with Convolutional Hierarchical Recurrent Neural Networks. CoRR abs/1509.03877 (2015) - [i3]Zhenhua Wang, Xingxing Wang, Gang Wang:
Learning Fine-grained Features via a CNN Tree for Large-scale Classification. CoRR abs/1511.04534 (2015) - [i2]Jiuxiang Gu, Zhenhua Wang, Jason Kuen, Lianyang Ma, Amir Shahroudy, Bing Shuai, Ting Liu, Xingxing Wang, Gang Wang:
Recent Advances in Convolutional Neural Networks. CoRR abs/1512.07108 (2015) - 2014
- [i1]Xiaojiang Peng, Limin Wang, Xingxing Wang, Yu Qiao:
Bag of Visual Words and Fusion Methods for Action Recognition: Comprehensive Study and Good Practice. CoRR abs/1405.4506 (2014) - 2012
- [c3]Xingxing Wang, Limin Wang, Yu Qiao:
A Comparative Study of Encoding, Pooling and Normalization Methods for Action Recognition. ACCV (3) 2012: 572-585 - 2011
- [c2]Nesma Houmani, Sonia Garcia-Salicetti, Bernadette Dorizzi, Jugurta Montalvão, Jânio Coutinho Canuto, Marcus V. A. Andrade, Yu Qiao, Xingxing Wang, Tobias Scheidat, Andrey Makrushin, Daigo Muramatsu, Joanna Putz-Leszczynska, Michal Kudelski, Marcos Faúndez-Zanuy, Juan Manuel Pascual-Gaspar, Valentín Cardeñoso-Payo, Carlos Vivaracho-Pascual, Enrique Argones-Rúa, José Luis Alba-Castro, Alisher Kholmatov, Berrin A. Yanikoglu:
BioSecure Signature Evaluation Campaign (ESRA'2011): evaluating systems on quality-based categories of skilled forgeries. IJCB 2011: 1-10 - 2010
- [c1]Maogang Li, Yan Shi, Xingxing Wang, Haibo Yuan:
Target Recognition for the Automatically Targeting Variable Rate Sprayer. CCTA (3) 2010: 20-28
Coauthor Index
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