Xiuqiang He

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 120

Top Venues

Publications

Yuheng Cheng, Ceyao Zhang, Zhengwen Zhang, Xiangrui Meng, Sirui Hong, Wenhao Li, Zihao Wang, Zekai Wang, Feng Yin, Junhua Zhao, Xiuqiang He
Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects. CoRR (2024)
Guibing Guo, Huan Zhou, Bowei Chen, Zhirong Liu, Xiao Xu, Xu Chen, Zhenhua Dong, Xiuqiang He
IPGAN: Generating Informative Item Pairs by Adversarial Sampling. IEEE Trans. Neural Networks Learn. Syst. 33 (2) (2022)
Xiangsheng Li, Jiaxin Mao, Weizhi Ma, Zhijing Wu, Yiqun Liu, Min Zhang, Shaoping Ma, Zhaowei Wang, Xiuqiang He
A Cooperative Neural Information Retrieval Pipeline with Knowledge Enhanced Automatic Query Reformulation. WSDM (2022)
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) (2022)
Ting Long, Jiarui Qin, Jian Shen, Weinan Zhang, Wei Xia, Ruiming Tang, Xiuqiang He, Yong Yu
Improving Knowledge Tracing with Collaborative Information. WSDM (2022)
Lu Wang, Ruiming Tang, Xiaofeng He, Xiuqiang He
Hierarchical Imitation Learning via Subgoal Representation Learning for Dynamic Treatment Recommendation. WSDM (2022)
Mengyue Yang, Guohao Cai, Furui Liu, Zhenhua Dong, Xiuqiang He, Jianye Hao, Jun Wang, Xu Chen
Debiased Recommendation with User Feature Balancing. CoRR (2022)
Jiahao Xun, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Qi Zhang, Jingjie Li, Xiuqiang He, Xiaofei He, Tat-Seng Chua, Fei Wu
Why Do We Click: Visual Impression-aware News Recommendation. ACM Multimedia (2021)
Chenxu Zhu, Bo Chen, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu
AIM: Automatic Interaction Machine for Click-Through Rate Prediction. CoRR (2021)
Dong Yao, Shengyu Zhang, Zhou Zhao, Wenyan Fan, Jieming Zhu, Xiuqiang He, Fei Wu
Modeling High-order Interactions across Multi-interests for Micro-video Reommendation (Student Abstract). AAAI (2021)
Wei Guo, Can Zhang, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Ruiming Tang, Xiuqiang He, Rui Zhang
MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction. CoRR (2021)
Huifeng Guo, Wei Guo, Yong Gao, Ruiming Tang, Xiuqiang He, Wenzhi Liu
ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table. SIGIR (2021)
Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Ruiming Tang, Xiuqiang He, Yong Yu
Retrieval & Interaction Machine for Tabular Data Prediction. KDD (2021)
Jieming Zhu, Jinyang Liu, Shuai Yang, Qi Zhang, Xiuqiang He
Open Benchmarking for Click-Through Rate Prediction. CIKM (2021)
Yankai Chen, Yifei Zhang, Yingxue Zhang, Huifeng Guo, Jingjie Li, Ruiming Tang, Xiuqiang He, Irwin King
Towards Low-loss 1-bit Quantization of User-item Representations for Top-K Recommendation. CoRR (2021)
Jinpeng Wang, Jieming Zhu, Xiuqiang He
Cross-Batch Negative Sampling for Training Two-Tower Recommenders. SIGIR (2021)
Qinglin Jia, Jingjie Li, Qi Zhang, Xiuqiang He, Jieming Zhu
RMBERT: News Recommendation via Recurrent Reasoning Memory Network over BERT. SIGIR (2021)
Xiangsheng Li, Jiaxin Mao, Weizhi Ma, Yiqun Liu, Min Zhang, Shaoping Ma, Zhaowei Wang, Xiuqiang He
Topic-enhanced knowledge-aware retrieval model for diverse relevance estimation. WWW (2021)
Weike Jin, Zhou Zhao, Pengcheng Zhang, Jieming Zhu, Xiuqiang He, Yueting Zhuang
Hierarchical Cross-Modal Graph Consistency Learning for Video-Text Retrieval. SIGIR (2021)
Huifeng Guo, Wei Guo, Yong Gao, Ruiming Tang, Xiuqiang He, Wenzhi Liu
ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table. CoRR (2021)
Changjun He, Xiuqiang He, Hua Geng
Transient Stability of Low-Inertia Power Systems with Inverter-Based Generation. CoRR (2021)
Weinan Zhang, Jiarui Qin, Wei Guo, Ruiming Tang, Xiuqiang He
Deep Learning for Click-Through Rate Estimation. IJCAI (2021)
Qiming Zheng, Quan Chen, Kaihao Bai, Huifeng Guo, Yong Gao, Xiuqiang He, Minyi Guo
BiPS: Hotness-aware Bi-tier Parameter Synchronization for Recommendation Models. IPDPS (2021)
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)
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 (2021)
Dong Yao, Shengyu Zhang, Zhou Zhao, Wenyan Fan, Jieming Zhu, Xiuqiang He, Fei Wu
Modeling High-order Interactions across Multi-interests for Micro-video Reommendation. CoRR (2021)
Huifeng Guo, Bo Chen, Ruiming Tang, Weinan Zhang, Zhenguo Li, Xiuqiang He
An Embedding Learning Framework for Numerical Features in CTR Prediction. KDD (2021)
Fuyuan Lyu, Xing Tang, Huifeng Guo, Ruiming Tang, Xiuqiang He, Rui Zhang, Xue Liu
Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction. CoRR (2021)
Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Ruiming Tang, Xiuqiang He, Yong Yu
Retrieval & Interaction Machine for Tabular Data Prediction. CoRR (2021)
Weinan Zhang, Jiarui Qin, Wei Guo, Ruiming Tang, Xiuqiang He
Deep Learning for Click-Through Rate Estimation. CoRR (2021)
Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He
SimpleX: A Simple and Strong Baseline for Collaborative Filtering. CoRR (2021)
Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang
Top-N Recommendation with Counterfactual User Preference Simulation. CIKM (2021)
Xiuqiang He, Hua Geng
Transient Stability of Power Systems Dominated by Different Types of Grid-Forming Devices. CoRR (2021)
Handong Ma, Jiawei Hou, Chenxu Zhu, Weinan Zhang, Ruiming Tang, Jincai Lai, Jieming Zhu, Xiuqiang He, Yong Yu
QA4PRF: A Question Answering based Framework for Pseudo Relevance Feedback. CoRR (2021)
Kelong Mao, Jieming Zhu, Xi Xiao, Biao Lu, Zhaowei Wang, Xiuqiang He
UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation. CIKM (2021)
Weike Jin, Zhou Zhao, Xiaochun Cao, Jieming Zhu, Xiuqiang He, Yueting Zhuang
Adaptive Spatio-Temporal Graph Enhanced Vision-Language Representation for Video QA. IEEE Trans. Image Process. 30 (2021)
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 (2021)
Qi Zhang, Qinglin Jia, Chuyuan Wang, Jingjie Li, Zhaowei Wang, Xiuqiang He
AMM: Attentive Multi-field Matching for News Recommendation. SIGIR (2021)
Kelong Mao, Jieming Zhu, Xi Xiao, Biao Lu, Zhaowei Wang, Xiuqiang He
UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation. CoRR (2021)
Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He
SimpleX: A Simple and Strong Baseline for Collaborative Filtering. CIKM (2021)
Xiangli Yang, Qing Liu, Rong Su, Ruiming Tang, Zhirong Liu, Xiuqiang He
AutoFT: Automatic Fine-Tune for Parameters Transfer Learning in Click-Through Rate Prediction. CoRR (2021)
Wei Guo, Rong Su, Renhao Tan, Huifeng Guo, Yingxue Zhang, Zhirong Liu, Ruiming Tang, Xiuqiang He
Dual Graph enhanced Embedding Neural Network for CTR Prediction. KDD (2021)
Yong Gao, Huifeng Guo, Dandan Lin, Yingxue Zhang, Ruiming Tang, Xiuqiang He
Content Filtering Enriched GNN Framework for News Recommendation. CoRR (2021)
Chong Chen, Weizhi Ma, Min Zhang, Zhaowei Wang, Xiuqiang He, Chenyang Wang, Yiqun Liu, Shaoping Ma
Graph Heterogeneous Multi-Relational Recommendation. AAAI (2021)
Xiuqiang He, Hua Geng, Geng Yang
Mode Clustering Based Dynamic Equivalent Modeling of Wind Farm for Small-Signal Stability Analysis. CoRR (2021)
Qi Zhang, Jingjie Li, Qinglin Jia, Chuyuan Wang, Jieming Zhu, Zhaowei Wang, Xiuqiang He
UNBERT: User-News Matching BERT for News Recommendation. IJCAI (2021)
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)
Wei Guo, Rong Su, Renhao Tan, Huifeng Guo, Yingxue Zhang, Zhirong Liu, Ruiming Tang, Xiuqiang He
Dual Graph enhanced Embedding Neural Network for CTR Prediction. CoRR (2021)
Jiahao Xun, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Qi Zhang, Jingjie Li, Xiuqiang He, Xiaofei He, Tat-Seng Chua, Fei Wu
Why Do We Click: Visual Impression-aware News Recommendation. CoRR (2021)
Jinpeng Wang, Jieming Zhu, Xiuqiang He
Cross-Batch Negative Sampling for Training Two-Tower Recommenders. CoRR (2021)
Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming
Mitigating Confounding Bias in Recommendation via Information Bottleneck. RecSys (2021)
Guohao Cai, Xiaoguang Li, Quanyu Dai, Gang Wang, Zhenhua Dong, Chaoliang Zhang, Xiuqiang He, Lifeng Shang
Dual Sequence Transformer for Query-based Interactive Recommendation. MDM (2021)
Handong Ma, Jiawei Hou, Chenxu Zhu, Weinan Zhang, Ruiming Tang, Jincai Lai, Jieming Zhu, Xiuqiang He, Yong Yu
QA4PRF: A Question Answering Based Framework for Pseudo Relevance Feedback. IEEE Access 9 (2021)
Bo Chen, Yichao Wang, Zhirong Liu, Ruiming Tang, Wei Guo, Hongkun Zheng, Weiwei Yao, Muyu Zhang, Xiuqiang He
Enhancing Explicit and Implicit Feature Interactions via Information Sharing for Parallel Deep CTR Models. CIKM (2021)
Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang
Top-N Recommendation with Counterfactual User Preference Simulation. CoRR (2021)
Yi Ouyang, Bin Guo, Xing Tang, Xiuqiang He, Jian Xiong, Zhiwen Yu
Mobile App Cross-Domain Recommendation with Multi-Graph Neural Network. ACM Trans. Knowl. Discov. Data 15 (4) (2021)
Feng Liu, Wei Guo, Huifeng Guo, Ruiming Tang, Yunming Ye, Xiuqiang He
Dual-attentional Factorization-Machines based Neural Network for User Response Prediction. WWW (Companion Volume) (2020)
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 (2020)
Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang
Less Is Better: Unweighted Data Subsampling via Influence Function. AAAI (2020)
Bin Liu, Chenxu Zhu, Guilin Li, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu
AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction. CoRR (2020)
Xiuqiang He, Hua Geng
Synchronization Stability Analysis and Enhancement of Grid-Tied Multi-Converter Systems. CoRR (2020)
Yichao Wang, Xiangyu Zhang, Zhirong Liu, Zhenhua Dong, Xinhua Feng, Ruiming Tang, Xiuqiang He
Personalized Re-ranking for Improving Diversity in Live Recommender Systems. CoRR (2020)
Jianing Sun, Wei Guo, Dengcheng Zhang, Yingxue Zhang, Florence Regol, Yaochen Hu, Huifeng Guo, Ruiming Tang, Han Yuan, Xiuqiang He, Mark Coates
A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks. KDD (2020)
Jieming Zhu, Jinyang Liu, Weiqi Li, Jincai Lai, Xiuqiang He, Liang Chen, Zibin Zheng
Ensembled CTR Prediction via Knowledge Distillation. CIKM (2020)
Zhu Zhang, Zhou Zhao, Zhijie Lin, Jieming Zhu, Xiuqiang He
Counterfactual Contrastive Learning for Weakly-Supervised Vision-Language Grounding. NeurIPS (2020)
Guibing Guo, Bowei Chen, Xiaoyan Zhang, Zhirong Liu, Zhenhua Dong, Xiuqiang He
Leveraging Title-Abstract Attentive Semantics for Paper Recommendation. AAAI (2020)
Mi Luo, Fei Chen, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Jiashi Feng, Zhenguo Li
MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection. CoRR (2020)
Rui Ding, Guibing Guo, Xiaochun Yang, Bowei Chen, Zhirong Liu, Xiuqiang He
BiGAN: Collaborative Filtering with Bidirectional Generative Adversarial Networks. SDM (2020)
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)
Bo Chen, Wei Guo, Ruiming Tang, Xin Xin, Yue Ding, Xiuqiang He, Dong Wang
TGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation. CIKM (2020)
Xu Chen, Changying Du, Xiuqiang He, Jun Wang
JIT2R: A Joint Framework for Item Tagging and Tag-based Recommendation. SIGIR (2020)
Chih-Yao Chang, Xing Tang, Bo-Wen Yuan, Jui-Yang Hsia, Zhirong Liu, Zhenhua Dong, Xiuqiang He, Chih-Jen Lin
AutoConjunction: Adaptive Model-based Feature Conjunction for CTR Prediction. MDM (2020)
Xiuqiang He, Hua Geng
Synchronization Stability Analysis and Enhancement of Grid-Tied Multi-Converter Systems. IAS (2020)
Dugang Liu, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming
A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data. SIGIR (2020)
Xiuqiang He, Changjun He, Hua Geng, Feng Liu
Synchronization Instability of Inverter-Based Generation During Asymmetrical Grid Faults. CoRR (2020)
Feng Liu, Ruiming Tang, Xutao Li, Weinan Zhang, Yunming Ye, Haokun Chen, Huifeng Guo, Yuzhou Zhang, Xiuqiang He
State representation modeling for deep reinforcement learning based recommendation. Knowl. Based Syst. 205 (2020)
Kelong Mao, Xi Xiao, Jieming Zhu, Biao Lu, Ruiming Tang, Xiuqiang He
Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach. CoRR (2020)
Wei Guo, Can Zhang, Huifeng Guo, Ruiming Tang, Xiuqiang He
Multi-Branch Convolutional Network for Context-Aware Recommendation. SIGIR (2020)
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)
Jieming Zhu, Jinyang Liu, Shuai Yang, Qi Zhang, Xiuqiang He
FuxiCTR: An Open Benchmark for Click-Through Rate Prediction. CoRR (2020)
Jianing Sun, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Xiuqiang He, Chen Ma, Mark Coates
Neighbor Interaction Aware Graph Convolution Networks for Recommendation. SIGIR (2020)
Zhu Zhang, Zhijie Lin, Zhou Zhao, Jieming Zhu, Xiuqiang He
Regularized Two-Branch Proposal Networks for Weakly-Supervised Moment Retrieval in Videos. CoRR (2020)
Jiangxing Yu, Hong Zhu, Chih-Yao Chang, Xinhua Feng, Bo-Wen Yuan, Xiuqiang He, Zhenhua Dong
Influence Function for Unbiased Recommendation. SIGIR (2020)
Zhu Zhang, Zhijie Lin, Zhou Zhao, Jieming Zhu, Xiuqiang He
Regularized Two-Branch Proposal Networks for Weakly-Supervised Moment Retrieval in Videos. ACM Multimedia (2020)
Farhan Khawar, Xu Hang, Ruiming Tang, Bin Liu, Zhenguo Li, Xiuqiang He
AutoFeature: Searching for Feature Interactions and Their Architectures for Click-through Rate Prediction. CIKM (2020)
Mi Luo, Fei Chen, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Jiashi Feng, Zhenguo Li
MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection. WWW (2020)
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 (2020)
Bin Liu, Chenxu Zhu, Guilin Li, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu
AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction. KDD (2020)
Xiuqiang He, Hua Geng
Transient Stability of Power Systems Integrated with VSCs. CoRR (2020)
Jieming Zhu, Jinyang Liu, Weiqi Li, Jincai Lai, Xiuqiang He, Liang Chen, Zibin Zheng
Ensembled CTR Prediction via Knowledge Distillation. CoRR (2020)
Jianing Sun, Yingxue Zhang, Chen Ma, Mark Coates, Huifeng Guo, Ruiming Tang, Xiuqiang He
Multi-Graph Convolution Collaborative Filtering. CoRR (2020)
Huifeng Guo, Bo Chen, Ruiming Tang, Zhenguo Li, Xiuqiang He
AutoDis: Automatic Discretization for Embedding Numerical Features in CTR Prediction. CoRR (2020)
Kelong Mao, Xi Xiao, Jieming Zhu, Biao Lu, Ruiming Tang, Xiuqiang He
Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach. SIGIR (2020)
Bin Liu, Niannan Xue, Huifeng Guo, Ruiming Tang, Stefanos Zafeiriou, Xiuqiang He, Zhenguo Li
AutoGroup: Automatic Feature Grouping for Modelling Explicit High-Order Feature Interactions in CTR Prediction. SIGIR (2020)
Zhenhua Dong, Hong Zhu, Pengxiang Cheng, Xinhua Feng, Guohao Cai, Xiuqiang He, Jun Xu, Jirong Wen
Counterfactual learning for recommender system. RecSys (2020)
Yichao Wang, Huifeng Guo, Ruiming Tang, Zhirong Liu, Xiuqiang He
A Practical Incremental Method to Train Deep CTR Models. CoRR (2020)
Feng Liu, Huifeng Guo, Xutao Li, Ruiming Tang, Yunming Ye, Xiuqiang He
End-to-End Deep Reinforcement Learning based Recommendation with Supervised Embedding. WSDM (2020)
Feng Liu, Ruiming Tang, Huifeng Guo, Xutao Li, Yunming Ye, Xiuqiang He
Top-aware reinforcement learning based recommendation. Neurocomputing 417 (2020)
Weiwen Liu, Qing Liu, Ruiming Tang, Junyang Chen, Xiuqiang He, Pheng-Ann Heng
Personalized Re-ranking with Item Relationships for E-commerce. CIKM (2020)
Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang
Less Is Better: Unweighted Data Subsampling via Influence Function. CoRR (2019)

Xiuqiang He.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Xiuqiang He