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Viewing Publication 1 - 92 from 92

2024

FedBAT: Communication-Efficient Federated Learning via Learnable BinarizationShiwei Li, Wenchao Xu, Haozhao Wang, Xing Tang 0007, Yining Qi, Shijie Xu, Weihong Luo, Yuhua Li 0003, Xiuqiang He, Ruixuan Li 0001. icml 2024: [doi]

2022

Beyond Relevance Ranking: A General Graph Matching Framework for Utility-Oriented Learning to RankXinyi Dai, Yunjia Xi, Weinan Zhang 0001, Qing Liu, Ruiming Tang, Xiuqiang He, Jiawei Hou, Jun Wang 0012, Yong Yu 0001. tois, 40(2), 2022. [doi]

IPGAN: Generating Informative Item Pairs by Adversarial SamplingGuibing Guo, Huan Zhou, Bowei Chen 0004, Zhirong Liu, Xiao Xu, Xu Chen 0017, Zhenhua Dong, Xiuqiang He. tnn, 33(2):694-706, 2022. [doi]

A Cooperative Neural Information Retrieval Pipeline with Knowledge Enhanced Automatic Query ReformulationXiangsheng Li, Jiaxin Mao, Weizhi Ma, Zhijing Wu 0001, Yiqun Liu 0001, Min Zhang, Shaoping Ma, Zhaowei Wang, Xiuqiang He. wsdm 2022: 553-561 [doi]

Improving Knowledge Tracing with Collaborative InformationTing Long, Jiarui Qin, Jian Shen, Weinan Zhang 0001, Wei Xia, Ruiming Tang, Xiuqiang He, Yong Yu 0001. wsdm 2022: 599-607 [doi]

Hierarchical Imitation Learning via Subgoal Representation Learning for Dynamic Treatment RecommendationLu Wang, Ruiming Tang, Xiaofeng He, Xiuqiang He. wsdm 2022: 1081-1089 [doi]

Contrastive Learning with Positive-Negative Frame Mask for Music RepresentationDong Yao, Zhou Zhao, Shengyu Zhang, Jieming Zhu, Yudong Zhu, Rui Zhang, Xiuqiang He. WWW 2022: 2906-2915 [doi]

2021

Mobile App Cross-Domain Recommendation with Multi-Graph Neural NetworkYi Ouyang 0003, Bin Guo 0001, Xing Tang 0007, Xiuqiang He, Jian-xiong, Zhiwen Yu 0001. tkdd, 15(4), 2021. [doi]

Dual Sequence Transformer for Query-based Interactive RecommendationGuohao Cai, Xiaoguang Li, Quanyu Dai, Gang Wang, Zhenhua Dong, Chaoliang Zhang, Xiuqiang He, Lifeng Shang. MDM 2021: 139-144 [doi]

Enhancing Explicit and Implicit Feature Interactions via Information Sharing for Parallel Deep CTR ModelsBo Chen, Yichao Wang 0002, Zhirong Liu, Ruiming Tang, Wei Guo, Hongkun Zheng, Weiwei Yao, Muyu Zhang, Xiuqiang He. CIKM 2021: 3757-3766 [doi]

Graph Heterogeneous Multi-Relational RecommendationChong Chen, Weizhi Ma, Min Zhang, Zhaowei Wang, Xiuqiang He, Chenyang Wang, Yiqun Liu 0001, Shaoping Ma. AAAI 2021: 3958-3966 [doi]

An Adversarial Imitation Click Model for Information RetrievalXinyi Dai, Jianghao Lin, Weinan Zhang 0001, Shuai Li 0010, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu. WWW 2021: 1809-1820 [doi]

Dual Graph enhanced Embedding Neural Network for CTR PredictionWei Guo, Rong Su, Renhao Tan, Huifeng Guo, Yingxue Zhang, Zhirong Liu, Ruiming Tang, Xiuqiang He. kdd 2021: 496-504 [doi]

ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding TableHuifeng Guo, Wei Guo, Yong Gao, Ruiming Tang, Xiuqiang He, Wenzhi Liu. sigir 2021: 1269-1278 [doi]

An Embedding Learning Framework for Numerical Features in CTR PredictionHuifeng Guo, Bo Chen, Ruiming Tang, Weinan Zhang, Zhenguo Li, Xiuqiang He. kdd 2021: 2910-2918 [doi]

RMBERT: News Recommendation via Recurrent Reasoning Memory Network over BERTQinglin Jia, Jingjie Li, Qi Zhang, Xiuqiang He, Jieming Zhu. sigir 2021: 1773-1777 [doi]

Hierarchical Cross-Modal Graph Consistency Learning for Video-Text RetrievalWeike Jin, Zhou Zhao, Pengcheng Zhang, Jieming Zhu, Xiuqiang He, Yueting Zhuang. sigir 2021: 1114-1124 [doi]

Adaptive Spatio-Temporal Graph Enhanced Vision-Language Representation for Video QAWeike Jin, Zhou Zhao, Xiaochun Cao, Jieming Zhu, Xiuqiang He, Yueting Zhuang. TIP, 30:5477-5489, 2021. [doi]

Topic-enhanced knowledge-aware retrieval model for diverse relevance estimationXiangsheng Li, Jiaxin Mao, Weizhi Ma, Yiqun Liu, Min Zhang, Shaoping Ma, Zhaowei Wang, Xiuqiang He. WWW 2021: 756-767 [doi]

A Graph-Enhanced Click Model for Web SearchJianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang 0001, Shuai Li 0010, Ruiming Tang, Xiuqiang He, Jianye Hao, Yong Yu. sigir 2021: 1259-1268 [doi]

Mitigating Confounding Bias in Recommendation via Information BottleneckDugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming 0001. recsys 2021: 351-360 [doi]

QA4PRF: A Question Answering Based Framework for Pseudo Relevance FeedbackHandong Ma, Jiawei Hou, Chenxu Zhu, Weinan Zhang 0001, Ruiming Tang, Jincai Lai, Jieming Zhu, Xiuqiang He, Yong Yu 0001. access, 9:139303-139314, 2021. [doi]

SimpleX: A Simple and Strong Baseline for Collaborative FilteringKelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He. CIKM 2021: 1243-1252 [doi]

UltraGCN: Ultra Simplification of Graph Convolutional Networks for RecommendationKelong Mao, Jieming Zhu, Xi Xiao, Biao Lu, Zhaowei Wang, Xiuqiang He. CIKM 2021: 1253-1262 [doi]

Retrieval & Interaction Machine for Tabular Data PredictionJiarui Qin, Weinan Zhang 0001, Rong Su, Zhirong Liu, Weiwen Liu, Ruiming Tang, Xiuqiang He, Yong Yu. kdd 2021: 1379-1389 [doi]

Cross-Batch Negative Sampling for Training Two-Tower RecommendersJinpeng Wang, Jieming Zhu, Xiuqiang He. sigir 2021: 1632-1636 [doi]

Why Do We Click: Visual Impression-aware News RecommendationJiahao Xun, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Qi Zhang, Jingjie Li, Xiuqiang He, Xiaofei He 0001, Tat-Seng Chua, Fei Wu 0001. mm 2021: 3881-3890 [doi]

Top-N Recommendation with Counterfactual User Preference SimulationMengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang. CIKM 2021: 2342-2351 [doi]

Modeling High-order Interactions across Multi-interests for Micro-video Reommendation (Student Abstract)Dong Yao, Shengyu Zhang, Zhou Zhao, Wenyan Fan, Jieming Zhu, Xiuqiang He, Fei Wu 0001. AAAI 2021: 15945-15946 [doi]

AMM: Attentive Multi-field Matching for News RecommendationQi Zhang, Qinglin Jia, Chuyuan Wang, Jingjie Li, Zhaowei Wang, Xiuqiang He. sigir 2021: 1588-1592 [doi]

UNBERT: User-News Matching BERT for News RecommendationQi Zhang, Jingjie Li, Qinglin Jia, Chuyuan Wang, Jieming Zhu, Zhaowei Wang, Xiuqiang He. IJCAI 2021: 3356-3362 [doi]

Deep Learning for Click-Through Rate EstimationWeinan Zhang, Jiarui Qin, Wei Guo, Ruiming Tang, Xiuqiang He. IJCAI 2021: 4695-4703 [doi]

BiPS: Hotness-aware Bi-tier Parameter Synchronization for Recommendation ModelsQiming Zheng, Quan Chen, Kaihao Bai, Huifeng Guo, Yong Gao, Xiuqiang He, Minyi Guo. ipps 2021: 609-618 [doi]

Open Benchmarking for Click-Through Rate PredictionJieming Zhu, Jinyang Liu, Shuai Yang, Qi Zhang, Xiuqiang He. CIKM 2021: 2759-2769 [doi]

2020

Top-aware reinforcement learning based recommendationFeng Liu 0034, Ruiming Tang, Huifeng Guo, Xutao Li, Yunming Ye, Xiuqiang He. ijon, 417:255-269, 2020. [doi]

State representation modeling for deep reinforcement learning based recommendationFeng Liu 0034, Ruiming Tang, Xutao Li, Weinan Zhang 0001, Yunming Ye, Haokun Chen, Huifeng Guo, Yuzhou Zhang, Xiuqiang He. kbs, 205:106170, 2020. [doi]

AutoConjunction: Adaptive Model-based Feature Conjunction for CTR PredictionChih-Yao Chang, Xing Tang 0007, Bo-Wen Yuan, Jui-Yang Hsia, Zhirong Liu, Zhenhua Dong, Xiuqiang He, Chih-Jen Lin. MDM 2020: 202-209 [doi]

TGCN: Tag Graph Convolutional Network for Tag-Aware RecommendationBo Chen, Wei Guo, Ruiming Tang, Xin Xin, Yue Ding, Xiuqiang He, Dong Wang. CIKM 2020: 155-164 [doi]

JIT2R: A Joint Framework for Item Tagging and Tag-based RecommendationXu Chen, Changying Du, Xiuqiang He, Jun Wang. sigir 2020: 1681-1684 [doi]

U-rank: Utility-oriented Learning to Rank with Implicit FeedbackXinyi Dai, Jiawei Hou, Qing Liu, Yunjia Xi, Ruiming Tang, Weinan Zhang 0001, Xiuqiang He, Jun Wang 0012, Yong Yu 0001. CIKM 2020: 2373-2380 [doi]

BiGAN: Collaborative Filtering with Bidirectional Generative Adversarial NetworksRui Ding, Guibing Guo, Xiaochun Yan, Bowei Chen, Zhirong Liu, Xiuqiang He. sdm 2020: 82-90 [doi]

Counterfactual learning for recommender systemZhenhua Dong, Hong Zhu, Pengxiang Cheng, Xinhua Feng, Guohao Cai, Xiuqiang He, Jun Xu, Jirong Wen. recsys 2020: 568-569 [doi]

Leveraging Title-Abstract Attentive Semantics for Paper RecommendationGuibing Guo, Bowei Chen, Xiaoyan Zhang, Zhirong Liu, Zhenhua Dong, Xiuqiang He. AAAI 2020: 67-74 [doi]

Multi-Branch Convolutional Network for Context-Aware RecommendationWei Guo, Can Zhang, Huifeng Guo, Ruiming Tang, Xiuqiang He. sigir 2020: 1709-1712 [doi]

Synchronization Stability Analysis and Enhancement of Grid-Tied Multi-Converter SystemsXiuqiang He, Hua Geng. iasam 2020: 1-8 [doi]

AutoFeature: Searching for Feature Interactions and Their Architectures for Click-through Rate PredictionFarhan Khawar, Xu Hang, Ruiming Tang, Bin Liu, Zhenguo Li, Xiuqiang He. CIKM 2020: 625-634 [doi]

A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform DataDugang Liu, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming 0001. sigir 2020: 831-840 [doi]

Personalized Re-ranking with Item Relationships for E-commerceWeiwen Liu, Qing Liu, Ruiming Tang, Junyang Chen, Xiuqiang He, Pheng-Ann Heng. CIKM 2020: 925-934 [doi]

Dual-attentional Factorization-Machines based Neural Network for User Response PredictionFeng Liu, Wei Guo, Huifeng Guo, Ruiming Tang, Yunming Ye, Xiuqiang He. WWW 2020: 26-27 [doi]

End-to-End Deep Reinforcement Learning based Recommendation with Supervised EmbeddingFeng Liu, Huifeng Guo, Xutao Li, Ruiming Tang, Yunming Ye, Xiuqiang He. wsdm 2020: 384-392 [doi]

AutoGroup: Automatic Feature Grouping for Modelling Explicit High-Order Feature Interactions in CTR PredictionBin Liu, Niannan Xue, Huifeng Guo, Ruiming Tang, Stefanos Zafeiriou, Xiuqiang He, Zhenguo Li. sigir 2020: 199-208 [doi]

AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate PredictionBin Liu, Chenxu Zhu, Guilin Li, Weinan Zhang 0001, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu 0001. kdd 2020: 2636-2645 [doi]

MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model SelectionMi Luo, Fei Chen, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Jiashi Feng, Zhenguo Li. WWW 2020: 2507-2513 [doi]

Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based ApproachKelong Mao, Xi Xiao, Jieming Zhu, Biao Lu, Ruiming Tang, Xiuqiang He. sigir 2020: 2327-2336 [doi]

Neighbor Interaction Aware Graph Convolution Networks for RecommendationJianing Sun, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Xiuqiang He, Chen Ma, Mark Coates. sigir 2020: 1289-1298 [doi]

A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural NetworksJianing Sun, Wei Guo, Dengcheng Zhang, Yingxue Zhang, Florence Regol, Yaochen Hu, Huifeng Guo, Ruiming Tang, Han Yuan, Xiuqiang He, Mark Coates. kdd 2020: 2030-2039 [doi]

Less Is Better: Unweighted Data Subsampling via Influence FunctionZifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang. AAAI 2020: 6340-6347 [doi]

Influence Function for Unbiased RecommendationJiangxing Yu, Hong Zhu, Chih-Yao Chang, Xinhua Feng, Bo-Wen Yuan, Xiuqiang He, Zhenhua Dong. sigir 2020: 1929-1932 [doi]

Counterfactual Contrastive Learning for Weakly-Supervised Vision-Language GroundingZhu Zhang, Zhou Zhao, Zhijie Lin, Jieming Zhu, Xiuqiang He. nips 2020: [doi]

Regularized Two-Branch Proposal Networks for Weakly-Supervised Moment Retrieval in VideosZhu Zhang, Zhijie Lin, Zhou Zhao, Jieming Zhu, Xiuqiang He. mm 2020: 4098-4106 [doi]

Interactive Recommender System via Knowledge Graph-enhanced Reinforcement LearningSijin Zhou, Xinyi Dai, Haokun Chen, Weinan Zhang 0001, Kan Ren, Ruiming Tang, Xiuqiang He, Yong Yu 0001. sigir 2020: 179-188 [doi]

Ensembled CTR Prediction via Knowledge DistillationJieming Zhu, Jinyang Liu, Weiqi Li, Jincai Lai, Xiuqiang He, Liang Chen, Zibin Zheng. CIKM 2020: 2941-2958 [doi]

2019

2018

2017

2015

2014

OceanST: A Distributed Analytic System for Large-Scale Spatiotemporal Mobile Broadband DataMingxuan Yuan, Ke Deng, Jia Zeng, Yanhua Li, Bing Ni, Xiuqiang He, Fei Wang, Wenyuan Dai, Qiang Yang 0001. pvldb, 7(13):1561-1564, 2014. [doi]

2012

A Panoramic View of 3G Data/Control-Plane Traffic: Mobile Device PerspectiveXiuqiang He, Patrick P. C. Lee, Lujia Pan, Cheng He, John C. S. Lui. networking 2012: 318-330 [doi]

2010

Task Allocation and Optimization of Distributed Embedded Systems with Simulated Annealing and Geometric ProgrammingXiuqiang He, Zonghua Gu, Yongxin Zhu. cj, 53(7):1071-1091, 2010. [doi]

Hardware/software partitioning and pipelined scheduling on runtime reconfigurable FPGAsMingxuan Yuan, Zonghua Gu, Xiuqiang He, Xue Liu, Lei Jiang. todaes, 15(2), 2010. [doi]

2009

Efficient algorithms for 2D area management and online task placement on runtime reconfigurable FPGAsZonghua Gu, Weichen Liu, Jiang Xu, Jin Cui, Xiuqiang He, Qingxu Deng. mam, 33(5-6):374-387, 2009. [doi]

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