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2020 – today
- 2023
[j23]Di Zang, Xiangyu Zhao, Yuanfang Qiao, Jiayu Huo, Xuehai Wu, Zhe Wang, Zeyu Xu, Ruizhe Zheng, Zengxin Qi, Ying Mao, Lichi Zhang:
Enhanced brain parcellation via abnormality inpainting for neuroimage-based consciousness evaluation of hydrocephalus patients by lumbar drainage. Brain Informatics 10(1): 3 (2023)- [c65]Chenxu Zhu
, Bo Chen, Huifeng Guo, Hang Xu, Xiangyang Li, Xiangyu Zhao, Weinan Zhang, Yong Yu, Ruiming Tang:
AutoGen: An Automated Dynamic Model Generation Framework for Recommender System. WSDM 2023: 598-606 - [c64]Ruiming Tang, Bo Chen, Yejing Wang, Huifeng Guo, Yong Liu, Wenqi Fan, Xiangyu Zhao:
AutoML for Deep Recommender Systems: Fundamentals and Advances. WSDM 2023: 1264-1267 - [i43]Xiangyu Zhao, Zengxin Qi, Sheng Wang, Qian Wang, Xuehai Wu, Ying Mao, Lichi Zhang:
RCPS: Rectified Contrastive Pseudo Supervision for Semi-Supervised Medical Image Segmentation. CoRR abs/2301.05500 (2023) - [i42]Xiangyu Zhao, Hannes Stärk, Dominique Beaini, Pietro Liò, Yiren Zhao:
Task-Agnostic Graph Neural Network Evaluation via Adversarial Collaboration. CoRR abs/2301.11517 (2023) - [i41]Ziru Liu, Jiejie Tian, Qingpeng Cai, Xiangyu Zhao, Jingtong Gao, Shuchang Liu, Dayou Chen, Tonghao He, Dong Zheng, Peng Jiang, Kun Gai:
Multi-Task Recommendations with Reinforcement Learning. CoRR abs/2302.03328 (2023) - [i40]Shuchang Liu, Qingpeng Cai, Bowen Sun, Yuhao Wang, Ji Jiang, Dong Zheng, Kun Gai, Peng Jiang, Xiangyu Zhao, Yongfeng Zhang:
Exploration and Regularization of the Latent Action Space in Recommendation. CoRR abs/2302.03431 (2023) - [i39]Yuhao Wang, Ha Tsz Lam, Yi Wong, Ziru Liu, Xiangyu Zhao, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang:
Multi-Task Deep Recommender Systems: A Survey. CoRR abs/2302.03525 (2023) - [i38]Qidong Liu, Jiaxi Hu, Yutian Xiao, Jingtong Gao, Xiangyu Zhao:
Multimodal Recommender Systems: A Survey. CoRR abs/2302.03883 (2023) - [i37]Chi Zhang, Rui Chen, Xiangyu Zhao, Qilong Han, Li Li:
Denoising and Prompt-Tuning for Multi-Behavior Recommendation. CoRR abs/2302.05862 (2023) - [i36]Muyang Li, Zijian Zhang, Xiangyu Zhao, Wanyu Wang, Minghao Zhao, Runze Wu, Ruocheng Guo:
AutoMLP: Automated MLP for Sequential Recommendations. CoRR abs/2303.06337 (2023) - [i35]Kesen Zhao, Lixin Zou, Xiangyu Zhao, Maolin Wang, Dawei Yin:
User Retention-oriented Recommendation with Decision Transformer. CoRR abs/2303.06347 (2023) - [i34]Weilin Lin, Xiangyu Zhao, Yejing Wang, Yuanshao Zhu, Wanyu Wang:
AutoDenoise: Automatic Data Instance Denoising for Recommendations. CoRR abs/2303.06611 (2023) - 2022
- [j22]Xiangyu Zhao, Shouhui Pan, Zhongqiang Liu, Yan-yun Han, Qi Zhang, Kaiyi Wang:
Intelligent upgrading of plant breeding: Decision support tools in the golden seed breeding cloud platform. Comput. Electron. Agric. 194: 106672 (2022) - [j21]Shouhui Pan, Xiangyu Zhao, Yan-yun Han, Xiaofeng Wang, Feng Yang, Shu-feng Wang, Zhongqiang Liu, Qiusi Zhang, Qi Zhang, Kaiyi Wang:
Online information platform for the management of national variety test of major crops in China: Design, development, and applications. Comput. Electron. Agric. 201: 107292 (2022) - [j20]Qi Zhang, Kaiyi Wang, Yan-yun Han, Zhongqiang Liu, Feng Yang, Shufeng Wang, Xiangyu Zhao, Chunjiang Zhao:
A crop variety yield prediction system based on variety yield data compensation. Comput. Electron. Agric. 203: 107460 (2022) - [j19]Xiangyu Zhao, Peng Huang, Xiangbo Shu:
Wavelet-Attention CNN for image classification. Multim. Syst. 28(3): 915-924 (2022) - [j18]Xiangyu Zhao, Peng Zhang, Fan Song, Chenbin Ma, Guangda Fan, Yangyang Sun, Youdan Feng, Guanglei Zhang:
Prior Attention Network for Multi-Lesion Segmentation in Medical Images. IEEE Trans. Medical Imaging 41(12): 3812-3823 (2022) - [c63]Xiangyu Zhao, Wenqi Fan, Hui Liu, Jiliang Tang:
Multi-Type Urban Crime Prediction. AAAI 2022: 4388-4396 - [c62]Xiangyu Zhao, Sean B. Holden:
Towards a Competitive 3-Player Mahjong AI using Deep Reinforcement Learning. CoG 2022: 524-527 - [c61]Xinhang Li, Zhaopeng Qiu, Xiangyu Zhao, Zihao Wang, Yong Zhang, Chunxiao Xing, Xian Wu:
Gromov-Wasserstein Guided Representation Learning for Cross-Domain Recommendation. CIKM 2022: 1199-1208 - [c60]Chi Zhang, Yantong Du, Xiangyu Zhao, Qilong Han, Rui Chen, Li Li:
Hierarchical Item Inconsistency Signal Learning for Sequence Denoising in Sequential Recommendation. CIKM 2022: 2508-2518 - [c59]Kesen Zhao, Xiangyu Zhao, Zijian Zhang, Muyang Li:
MAE4Rec: Storage-saving Transformer for Sequential Recommendations. CIKM 2022: 2681-2690 - [c58]Pengfei He, Haochen Liu, Xiangyu Zhao, Hui Liu, Jiliang Tang:
PROPN: Personalized Probabilistic Strategic Parameter Optimization in Recommendations. CIKM 2022: 3152-3161 - [c57]Xiangyu Zhao, Longbiao Wang, Jianwu Dang:
Improving Dialogue Generation via Proactively Querying Grounded Knowledge. ICASSP 2022: 6577-6581 - [c56]Dewen Zhang, Xiangyu Zhao, Jian Zhang, Xing Tang, Yuenan Guo, Xianfeng Lin, Zhen Zhang:
Intelligent UAV Equipped with Infrared Equipment Applied in Measuring Zero Insulatorat in Different Temperatures. ICCSIE 2022: 766-770 - [c55]Fengyi Song, Bo Chen, Xiangyu Zhao, Huifeng Guo, Ruiming Tang:
AutoAssign: Automatic Shared Embedding Assignment in Streaming Recommendation. ICDM 2022: 458-467 - [c54]Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang:
Automated Self-Supervised Learning for Graphs. ICLR 2022 - [c53]Muyang Li, Xiangyu Zhao, Chuan Lyu, Minghao Zhao, Runze Wu, Ruocheng Guo:
MLP4Rec: A Pure MLP Architecture for Sequential Recommendations. IJCAI 2022: 2138-2144 - [c52]Jingfan Chen, Wenqi Fan, Guanghui Zhu, Xiangyu Zhao, Chunfeng Yuan, Qing Li, Yihua Huang:
Knowledge-enhanced Black-box Attacks for Recommendations. KDD 2022: 108-117 - [c51]Weilin Lin, Xiangyu Zhao, Yejing Wang, Tong Xu, Xian Wu:
AdaFS: Adaptive Feature Selection in Deep Recommender System. KDD 2022: 3309-3317 - [c50]Zhi Zheng, Zhaopeng Qiu, Hui Xiong, Xian Wu, Tong Xu, Enhong Chen, Xiangyu Zhao:
DDR: Dialogue Based Doctor Recommendation for Online Medical Service. KDD 2022: 4592-4600 - [c49]Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang, Qing Li:
Graph Trend Filtering Networks for Recommendation. SIGIR 2022: 112-121 - [c48]Xiangyu Zhao, Xin Xin, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang:
DRL4IR: 3rd Workshop on Deep Reinforcement Learning for Information Retrieval. SIGIR 2022: 3488-3491 - [c47]Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lye, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He:
Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) 2022: 391-399 - [c46]Yejing Wang, Xiangyu Zhao, Tong Xu, Xian Wu:
AutoField: Automating Feature Selection in Deep Recommender Systems. WWW 2022: 1977-1986 - [c45]Haochen Liu, Da Tang, Ji Yang, Xiangyu Zhao, Hui Liu, Jiliang Tang, Youlong Cheng:
Rating Distribution Calibration for Selection Bias Mitigation in Recommendations. WWW 2022: 2048-2057 - [c44]Zhi Zheng, Zhaopeng Qiu, Tong Xu, Xian Wu, Xiangyu Zhao, Enhong Chen, Hui Xiong:
CBR: Context Bias aware Recommendation for Debiasing User Modeling and Click Prediction✱. WWW 2022: 2268-2276 - [i33]Xiangyu Zhao:
Wavelet-Attention CNN for Image Classification. CoRR abs/2201.09271 (2022) - [i32]Xiangyu Zhao, Sean B. Holden:
Building a 3-Player Mahjong AI using Deep Reinforcement Learning. CoRR abs/2202.12847 (2022) - [i31]Bo Chen, Xiangyu Zhao, Yejing Wang, Wenqi Fan, Huifeng Guo, Ruiming Tang:
Automated Machine Learning for Deep Recommender Systems: A Survey. CoRR abs/2204.01390 (2022) - [i30]Yejing Wang, Xiangyu Zhao, Tong Xu, Xian Wu:
AutoField: Automating Feature Selection in Deep Recommender Systems. CoRR abs/2204.09078 (2022) - [i29]Muyang Li, Xiangyu Zhao, Chuan Lyu, Minghao Zhao, Runze Wu, Ruocheng Guo:
MLP4Rec: A Pure MLP Architecture for Sequential Recommendations. CoRR abs/2204.11510 (2022) - [i28]Jingfan Chen, Wenqi Fan, Guanghui Zhu, Xiangyu Zhao, Chunfeng Yuan, Qing Li, Yihua Huang:
Knowledge-enhanced Black-box Attacks for Recommendations. CoRR abs/2207.10307 (2022) - [i27]Haoran Yang, Xiangyu Zhao, Muyang Li, Hongxu Chen, Guandong Xu:
Federated Graph Contrastive Learning. CoRR abs/2207.11836 (2022) - [i26]Xiangyu Zhao, Di Zang, Sheng Wang, Zhenrong Shen, Kai Xuan, Zeyu Wei, Zhe Wang, Ruizhe Zheng, Xuehai Wu, Zheren Li, Qian Wang, Zengxin Qi, Lichi Zhang:
TBI-GAN: An Adversarial Learning Approach for Data Synthesis on Traumatic Brain Segmentation. CoRR abs/2208.06099 (2022) - [i25]George Boateng, Xiangyu Zhao, Malgorzata Speichert, Elgar Fleisch, Janina Lüscher, Theresa Pauly, Urte Scholz, Guy Bodenmann, Tobias Kowatsch:
"Are you okay, honey?": Recognizing Emotions among Couples Managing Diabetes in Daily Life using Multimodal Real-World Smartwatch Data. CoRR abs/2208.08909 (2022) - [i24]Wenqi Fan, Xiangyu Zhao, Xiao Chen, Jingran Su, Jingtong Gao, Lin Wang, Qidong Liu, Yiqi Wang, Han Xu, Lei Chen, Qing Li:
A Comprehensive Survey on Trustworthy Recommender Systems. CoRR abs/2209.10117 (2022) - [i23]Jiajun Zhou, Chenxuan Xie, Zhenyu Wen, Xiangyu Zhao, Qi Xuan:
Data Augmentation on Graphs: A Survey. CoRR abs/2212.09970 (2022) - 2021
- [j17]Xiangyu Zhao, Peng Zhang, Fan Song, Guangda Fan, Yangyang Sun, Yujia Wang, Zheyuan Tian, Luqi Zhang, Guanglei Zhang:
D2A U-Net: Automatic segmentation of COVID-19 CT slices based on dual attention and hybrid dilated convolution. Comput. Biol. Medicine 135: 104526 (2021) - [j16]Bojun Hu, Sanfeng Zhang, Xiangxin Pan, Xiangyu Zhao, Zhaoming Ding, Xiong Zhou, Shiheng Yang, Qiang Li:
Sampling and Comparator Speed-Enhancement Techniques for Near-Threshold SAR ADCs. IEEE Open J. Circuits Syst. 2: 304-310 (2021) - [j15]Weilin Liao, Xiangyu Zhao, Hsueh-Tsung Lu, Tsenguun Byambadorj, Yutao Qin, Yogesh B. Gianchandani:
Progressive Cellular Architecture in Microscale Gas Chromatography for Broad Chemical Analyses. Sensors 21(9): 3089 (2021) - [c43]Xiangyu Zhao, Changsheng Gu, Haoshenglun Zhang, Xiwang Yang, Xiaobing Liu, Jiliang Tang, Hui Liu:
DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems. AAAI 2021: 750-758 - [c42]Wenqi Fan, Tyler Derr, Xiangyu Zhao, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang, Qing Li:
Attacking Black-box Recommendations via Copying Cross-domain User Profiles. ICDE 2021: 1583-1594 - [c41]Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang, Ming Chen, Xudong Zheng, Xiaobing Liu, Xiwang Yang:
AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations. ICDM 2021: 896-905 - [c40]Xiangyu Zhao, Hanzhou Wu, Xinpeng Zhang:
Watermarking Graph Neural Networks by Random Graphs. ISDFS 2021: 1-6 - [c39]Jiayu Li, Hongyu Lu, Chenyang Wang, Weizhi Ma, Min Zhang, Xiangyu Zhao, Wei Qi, Yiqun Liu, Shaoping Ma:
A Difficulty-Aware Framework for Churn Prediction and Intervention in Games. KDD 2021: 943-952 - [c38]Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang:
AutoLoss: Automated Loss Function Search in Recommendations. KDD 2021: 3959-3967 - [c37]Weinan Zhang, Xiangyu Zhao, Li Zhao, Dawei Yin, Grace Hui Yang:
DRL4IR: 2nd Workshop on Deep Reinforcement Learning for Information Retrieval. SIGIR 2021: 2681-2684 - [c36]Xiangyu Zhao, Yinzhe Yao, Hanzhou Wu, Xinpeng Zhang:
Structural Watermarking to Deep Neural Networks via Network Channel Pruning. WIFS 2021: 1-6 - [c35]Yingqiang Ge, Shuchang Liu, Ruoyuan Gao, Yikun Xian, Yunqi Li, Xiangyu Zhao, Changhua Pei, Fei Sun, Junfeng Ge, Wenwu Ou, Yongfeng Zhang:
Towards Long-term Fairness in Recommendation. WSDM 2021: 445-453 - [c34]Xiangyu Zhao, Haochen Liu, Hui Liu, Jiliang Tang, Weiwei Guo, Jun Shi, Sida Wang, Huiji Gao, Bo Long:
AutoDim: Field-aware Embedding Dimension Searchin Recommender Systems. WWW 2021: 3015-3022 - [c33]Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang:
UserSim: User Simulation via Supervised GenerativeAdversarial Network. WWW 2021: 3582-3589 - [i22]Yingqiang Ge, Shuchang Liu, Ruoyuan Gao, Yikun Xian, Yunqi Li, Xiangyu Zhao, Changhua Pei, Fei Sun, Junfeng Ge, Wenwu Ou, Yongfeng Zhang:
Towards Long-term Fairness in Recommendation. CoRR abs/2101.03584 (2021) - [i21]Xiangyu Zhao, Peng Zhang, Fan Song, Guangda Fan, Yangyang Sun, Yujia Wang, Zheyuan Tian, Luqi Zhang, Guanglei Zhang:
D2A U-Net: Automatic Segmentation of COVID-19 Lesions from CT Slices with Dilated Convolution and Dual Attention Mechanism. CoRR abs/2102.05210 (2021) - [i20]Lixin Zou, Long Xia, Linfang Hou, Xiangyu Zhao, Dawei Yin:
Data-Efficient Reinforcement Learning for Malaria Control. CoRR abs/2105.01620 (2021) - [i19]Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang:
Automated Self-Supervised Learning for Graphs. CoRR abs/2106.05470 (2021) - [i18]Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang:
AutoLoss: Automated Loss Function Search in Recommendations. CoRR abs/2106.06713 (2021) - [i17]Xiangyu Zhao, Yinzhe Yao, Hanzhou Wu, Xinpeng Zhang:
Structural Watermarking to Deep Neural Networks via Network Channel Pruning. CoRR abs/2107.08688 (2021) - [i16]Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang, Qing Li:
Graph Trend Networks for Recommendations. CoRR abs/2108.05552 (2021) - 2020
- [j14]Xiangyu Zhao, Yan-yun Han, Zhongqiang Liu, Shouhui Pan, Kaiyi Wang:
Plant Breeding Evaluation Based on Coupled Feature Representation. IEEE Access 8: 153641-153650 (2020) - [j13]Sheng Chen, Yaqi Han, Jinqiu Lin, Xiangyu Zhao, Ping Kong:
Pulmonary nodule detection on chest radiographs using balanced convolutional neural network and classic candidate detection. Artif. Intell. Medicine 107: 101881 (2020) - [c32]Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang:
Whole-Chain Recommendations. CIKM 2020: 1883-1891 - [c31]Ting Yang, Ruifang He, Longbiao Wang, Xiangyu Zhao, Jiangwu Dang:
Hierarchical Interactive Matching Network for Multi-turn Response Selection in Retrieval-Based Chatbots. ICONIP (1) 2020: 24-35 - [c30]Xiangyu Zhao, Xudong Zheng, Xiwang Yang, Xiaobing Liu, Jiliang Tang:
Jointly Learning to Recommend and Advertise. KDD 2020: 3319-3327 - [c29]Lixin Zou, Long Xia, Yulong Gu, Xiangyu Zhao, Weidong Liu, Jimmy Xiangji Huang, Dawei Yin:
Neural Interactive Collaborative Filtering. SIGIR 2020: 749-758 - [c28]Haochen Liu, Xiangyu Zhao, Chong Wang, Xiaobing Liu, Jiliang Tang:
Automated Embedding Size Search in Deep Recommender Systems. SIGIR 2020: 2307-2316 - [c27]Weinan Zhang, Xiangyu Zhao, Li Zhao, Dawei Yin, Grace Hui Yang, Alex Beutel:
Deep Reinforcement Learning for Information Retrieval: Fundamentals and Advances. SIGIR 2020: 2468-2471 - [c26]Xiangyu Zhao, Longbiao Wang, Ruifang He, Ting Yang, Jinxin Chang, Ruifang Wang:
Multiple Knowledge Syncretic Transformer for Natural Dialogue Generation. WWW 2020: 752-762 - [i15]Xiangyu Zhao, Jiliang Tang:
Exploring Spatio-Temporal and Cross-Type Correlations for Crime Prediction. CoRR abs/2001.06923 (2020) - [i14]Xiangyu Zhao, Chong Wang, Ming Chen, Xudong Zheng, Xiaobing Liu, Jiliang Tang:
AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations. CoRR abs/2002.11252 (2020) - [i13]Xiangyu Zhao, Xudong Zheng, Xiwang Yang, Xiaobing Liu, Jiliang Tang:
Jointly Learning to Recommend and Advertise. CoRR abs/2003.00097 (2020) - [i12]Wenqi Fan, Tyler Derr, Xiangyu Zhao, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang, Qing Li:
Attacking Black-box Recommendations via Copying Cross-domain User Profiles. CoRR abs/2005.08147 (2020) - [i11]Xiangyu Zhao, Haochen Liu, Hui Liu, Jiliang Tang, Weiwei Guo, Jun Shi, Sida Wang, Huiji Gao, Bo Long:
Memory-efficient Embedding for Recommendations. CoRR abs/2006.14827 (2020) - [i10]Lixin Zou, Long Xia, Yulong Gu, Xiangyu Zhao, Weidong Liu, Jimmy Xiangji Huang, Dawei Yin:
Neural Interactive Collaborative Filtering. CoRR abs/2007.02095 (2020) - [i9]Xiangyu Zhao, Hanzhou Wu, Xinpeng Zhang:
Watermarking Graph Neural Networks by Random Graphs. CoRR abs/2011.00512 (2020)
2010 – 2019
- 2019
- [j12]Ke Niu, Xiangyu Zhao, Fangfang Li, Ning Li, Xueping Peng, Wei Chen:
UTSP: User-Based Two-Step Recommendation With Popularity Normalization Towards Diversity and Novelty. IEEE Access 7: 145426-145434 (2019) - [j11]Jinxin Chang, Ruifang He, Longbiao Wang, Ruifang Wang, Xiangyu Zhao, Ting Yang:
Static-Dynamically Attentive Variational Network for Dialogue Generation. Aust. J. Intell. Inf. Process. Syst. 17(1): 24-31 (2019) - [j10]Ya-Tong Zhou, Xiangyu Zhao, Kuo-Ping Lin, Ching-Hsin Wang, Ling-Ling Li:
A Gaussian process mixture model-based hard-cut iterative learning algorithm for air quality prediction. Appl. Soft Comput. 85 (2019) - [j9]Xiangyu Zhao, Long Xia, Jiliang Tang, Dawei Yin:
Deep reinforcement learning for search, recommendation, and online advertising: a survey. SIGWEB Newsl. 2019(Spring): 4:1-4:15 (2019) - [c25]Xiaoguang Su, Xiangyu Zhao, Lili Yu, Jingyuan Jia, Zhian Deng:
Research and Design of Home Care System of Internet of Things Based on Wireless Network. CSPS 2019: 1038-1044 - [c24]Jinxin Chang, Ruifang He, Longbiao Wang, Xiangyu Zhao, Ting Yang, Ruifang Wang:
A Semi-Supervised Stable Variational Network for Promoting Replier-Consistency in Dialogue Generation. EMNLP/IJCNLP (1) 2019: 1920-1930 - [c23]Xiangyu Zhao, Yutao Qin, Yogesh B. Gianchandani:
Automatic Peak Integration and Baseline Correction for Micro-scale Gas Chromatographs Using Continuous Wavelet Transform. IEEE SENSORS 2019: 1-4 - [c22]Ruoman Yang, Chao Liu, Xiangyu Zhao, Sheng Chang, Xiong Zhou, Qiang Li:
A Loss-Compensated 5-Bit Ka-Band Digital Phase Shifter with Low RMS Phase/Gain Error Over Wide Temperature Ranges. ISCAS 2019: 1-5 - [i8]Xiangyu Zhao, Long Xia, Yihong Zhao, Dawei Yin, Jiliang Tang:
Model-Based Reinforcement Learning for Whole-Chain Recommendations. CoRR abs/1902.03987 (2019) - [i7]Xiangyu Zhao, Long Xia, Zhuoye Ding, Dawei Yin, Jiliang Tang:
Toward Simulating Environments in Reinforcement Learning Based Recommendations. CoRR abs/1906.11462 (2019) - [i6]Xiangyu Zhao, Changsheng Gu, Haoshenglun Zhang, Xiaobing Liu, Xiwang Yang, Jiliang Tang:
Deep Reinforcement Learning for Online Advertising in Recommender Systems. CoRR abs/1909.03602 (2019) - 2018
- [j8]Yan-yun Han, Kai-yi Wang, Zhongqiang Liu, Shouhui Pan, Xiangyu Zhao, Shu-feng Wang:
Golden seed breeding cloud platform for the management of crop breeding material and genealogical tracking. Comput. Electron. Agric. 152: 206-214 (2018) - [j7]Xiangyu Zhao, Jiliang Tang:
Crime in Urban Areas: : A Data Mining Perspective. SIGKDD Explor. 20(1): 1-12 (2018) - [j6]Shuai Wu, Xiangyu Zhao, Chunfang Li, Zongxia Jiao, Fengyu Qu:
Multiobjective Optimization of a Hollow Plunger Type Solenoid for High Speed On/Off Valve. IEEE Trans. Ind. Electron. 65(4): 3115-3124 (2018) - [c21]Xiangyu Zhao, Yuxin Peng:
Coarse Label Refined Knowledge Reasoning for Fine-Grained Visual Categorization. IScIDE 2018: 349-359 - [c20]Xiangyu Zhao, Liang Zhang, Zhuoye Ding, Long Xia, Jiliang Tang, Dawei Yin:
Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning. KDD 2018: 1040-1048 - [c19]Xiangyu Zhao, Long Xia, Liang Zhang, Zhuoye Ding, Dawei Yin, Jiliang Tang:
Deep reinforcement learning for page-wise recommendations. RecSys 2018: 95-103 - [c18]Ruiming Luo, Shouqian Sun, Xiangyu Zhao, Yuxuan Zhang, Yongchuan Tang:
Adaptive CPG-Based Impedance Control for Assistive Lower Limb Exoskeleton. ROBIO 2018: 685-690 - [i5]Xiangyu Zhao, Liang Zhang, Zhuoye Ding, Dawei Yin, Yihong Zhao, Jiliang Tang:
Deep Reinforcement Learning for List-wise Recommendations. CoRR abs/1801.00209 (2018) - [i4]Xiangyu Zhao, Liang Zhang, Zhuoye Ding, Long Xia, Jiliang Tang, Dawei Yin:
Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning. CoRR abs/1802.06501 (2018) - [i3]Xiangyu Zhao, Jiliang Tang:
Crime in Urban Areas: A Data Mining Perspective. CoRR abs/1804.08159 (2018) - [i2]Xiangyu Zhao, Long Xia, Liang Zhang, Zhuoye Ding, Dawei Yin, Jiliang Tang:
Deep Reinforcement Learning for Page-wise Recommendations. CoRR abs/1805.02343 (2018) - [i1]Xiangyu Zhao, Long Xia, Jiliang Tang, Dawei Yin:
Reinforcement Learning for Online Information Seeking. CoRR abs/1812.07127 (2018) - 2017
- [j5]Yan-yun Han, Kai-yi Wang, Zhongqiang Liu, Qi Zhang, Shouhui Pan, Xiangyu Zhao, Shu-feng Wang:
A crop trait information acquisition system with multitag-based identification technologies for breeding precision management. Comput. Electron. Agric. 135: 71-80 (2017) - [j4]Shuai Wu, Xiangyu Zhao, Zongxia Jiao, Patrick Chi-Kwong Luk