Xiuqiang He - RankMe

215 papers A* 58A 31B 3Journal 105Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	Automated Information Flow Selection for Multi-scenario Multi-task Recommendation. WSDM Chaohua Yang, Dugang Liu, Shiwei Li, Yuwen Fu, Xing Tang, Weihong Luo, Xiangyu Zhao, Xiuqiang He, Zhong Ming
2026	A*	`conf`	Data-Driven Function Calling Improvements in Large Language Model for Online Financial QA. WWW Xing Tang, Hao Chen, Shiwei Li, Fuyuan Lyu, Weijie Shi, Lingjie Li, Dugang Liu, Weihong Luo, Xiku Du, Xiuqiang He
2026	J	`jnl`	DeepResearch-9K: A Challenging Benchmark Dataset of Deep-Research Agent. CoRR Tongzhou Wu, Yuhao Wang, Xinyu Ma, Xiuqiang He, Shuaiqiang Wang, Dawei Yin, Xiangyu Zhao
2026	J	`jnl`	Give Users the Wheel: Towards Promptable Recommendation Paradigm. CoRR Fuyuan Lyu, Chenglin Luo, Qiyuan Zhang, Yupeng Hou, Haolun Wu, Xing Tang, Xue Liu, Jin L. C. Guo, Xiuqiang He
2025	—	`conf`	A Predict-Then-Optimize Customer Allocation Framework for Online Fund Recommendation. DASFAA (6) Xing Tang, Yunpeng Weng, Fuyuan Lyu, Dugang Liu, Xiuqiang He
2025	J	`jnl`	A Predict-Then-Optimize Customer Allocation Framework for Online Fund Recommendation. CoRR Xing Tang, Yunpeng Weng, Fuyuan Lyu, Dugang Liu, Xiuqiang He
2025	J	`jnl`	Automated Information Flow Selection for Multi-scenario Multi-task Recommendation. CoRR Chaohua Yang, Dugang Liu, Shiwei Li, Yuwen Fu, Xing Tang, Weihong Luo, Xiangyu Zhao, Xiuqiang He, Zhong Ming
2025	J	`jnl`	Beyond Higher Rank: Token-wise Input-Output Projections for Efficient Low-Rank Adaptation. CoRR Shiwei Li, Xiandi Luo, Haozhao Wang, Xing Tang, Ziqiang Cui, Dugang Liu, Yuhua Li, Xiuqiang He, Ruixuan Li
2025	A*	`conf`	Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics. ICML Shiwei Li, Xiandi Luo, Xing Tang, Haozhao Wang, Hao Chen, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li
2025	J	`jnl`	Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics. CoRR Shiwei Li, Xiandi Luo, Xing Tang, Haozhao Wang, Hao Chen, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li
2025	J	`jnl`	BoRA: Towards More Expressive Low-Rank Adaptation with Block Diversity. CoRR Shiwei Li, Xiandi Luo, Haozhao Wang, Xing Tang, Ziqiang Cui, Dugang Liu, Yuhua Li, Xiuqiang He, Ruixuan Li
2025	J	`jnl`	CORE: Lossless Compression for Retrieval-Augmented LLMs via Reinforcement Learning. CoRR Ziqiang Cui, Yunpeng Weng, Xing Tang, Peiyang Liu, Shiwei Li, Bowei He, Jiamin Chen, Xiuqiang He, Chen Ma
2025	A*	`conf`	Comprehending Knowledge Graphs with Large Language Models for Recommender Systems. SIGIR Ziqiang Cui, Yunpeng Weng, Xing Tang, Fuyuan Lyu, Dugang Liu, Xiuqiang He, Chen Ma
2025	J	`jnl`	Exploring Test-time Scaling via Prediction Merging on Large-Scale Recommendation. CoRR Fuyuan Lyu, Zhentai Chen, Jingyan Jiang, Lingjie Li, Xing Tang, Xiuqiang He, Xue Liu
2025	A	`conf`	Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models. WSDM Kexin Zhang, Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Kaize Ding, Xiuqiang He, Xue Liu
2025	A*	`conf`	Invariant Deep Uplift Modeling for Incentive Assignment in Online Marketing via Probability of Necessity and Sufficiency. ICML Zexu Sun, Qiyu Han, Hao Yang, Anpeng Wu, Minqin Zhu, Dugang Liu, Chen Ma, Yunpeng Weng, Xing Tang, Xiuqiang He
2025	A*	`conf`	Multi-scenario Instance Embedding Learning for Deep Recommender Systems. SIGIR Chaohua Yang, Dugang Liu, Xing Tang, Yuwen Fu, Xiuqiang He, Xiangyu Zhao, Zhong Ming
2025	—	`conf`	Retrieval Augmented Cross-Domain LifeLong Behavior Modeling for Enhancing Click-through Rate Prediction. KDD (2) Xing Tang, Chaohua Yang, Yuwen Fu, Dongyang Ao, Shiwei Li, Fuyuan Lyu, Dugang Liu, Xiuqiang He
2025	—	`conf`	Scenario Shared Instance Modeling for Click-through Rate Prediction. KDD (1) Dugang Liu, Chaohua Yang, Yuwen Fu, Xing Tang, Gongfu Li, Fuyuan Lyu, Xiuqiang He, Zhong Ming
2025	J	`jnl`	Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation. CoRR Ziqiang Cui, Yunpeng Weng, Xing Tang, Xiaokun Zhang, Dugang Liu, Shiwei Li, Peiyang Liu, Bowei He, Weihong Luo, Xiuqiang He, Chen Ma
2025	A*	`conf`	The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning. ICML Shiwei Li, Xiandi Luo, Haozhao Wang, Xing Tang, Shijie Xu, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li
2025	J	`jnl`	The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning. CoRR Shiwei Li, Xiandi Luo, Haozhao Wang, Xing Tang, Shijie Xu, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li
2025	—	`conf`	Timing is Important: Risk-aware Fund Allocation based on Time-Series Forecasting. KDD (2) Fuyuan Lyu, Linfeng Du, Yunpeng Weng, Qiufang Ying, Zhiyan Xu, Wen Zou, Haolun Wu, Xiuqiang He, Xing Tang
2025	J	`jnl`	Timing is important: Risk-aware Fund Allocation based on Time-Series Forecasting. CoRR Fuyuan Lyu, Linfeng Du, Yunpeng Weng, Qiufang Ying, Zhiyan Xu, Wen Zou, Haolun Wu, Xiuqiang He, Xing Tang
2025	A*	`conf`	Uncertainty and Influence aware Reward Model Refinement for Reinforcement Learning from Human Feedback. ICLR Zexu Sun, Yiju Guo, Yankai Lin, Xu Chen, Qi Qi, Xing Tang, Xiuqiang He, Ji-Rong Wen
2024	A*	`conf`	AutoDCS: Automated Decision Chain Selection in Deep Recommender Systems. SIGIR Dugang Liu, Shenxian Xian, Yuhao Wu, Chaohua Yang, Xing Tang, Xiuqiang He, Zhong Ming
2024	J	`jnl`	Benchmarking for Deep Uplift Modeling in Online Marketing. CoRR Dugang Liu, Xing Tang, Yang Qiao, Miao Liu, Zexu Sun, Xiuqiang He, Zhong Ming
2024	J	`jnl`	Comprehending Knowledge Graphs with Large Language Models for Recommender Systems. CoRR Ziqiang Cui, Yunpeng Weng, Xing Tang, Fuyuan Lyu, Dugang Liu, Xiuqiang He, Chen Ma
2024	A	`conf`	End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling. RecSys Zexu Sun, Hao Yang, Dugang Liu, Yunpeng Weng, Xing Tang, Xiuqiang He
2024	J	`jnl`	End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling. CoRR Zexu Sun, Hao Yang, Dugang Liu, Yunpeng Weng, Xing Tang, Xiuqiang He
2024	J	`jnl`	Expected Transaction Value Optimization for Precise Marketing in FinTech Platforms. CoRR Yunpeng Weng, Xing Tang, Liang Chen, Dugang Liu, Xiuqiang He
2024	J	`jnl`	Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects. CoRR Yuheng Cheng, Ceyao Zhang, Zhengwen Zhang, Xiangrui Meng, Sirui Hong, Wenhao Li, Zihao Wang, Zekai Wang, Feng Yin, Junhua Zhao, Xiuqiang He
2024	A*	`conf`	FedBAT: Communication-Efficient Federated Learning via Learnable Binarization. ICML Shiwei Li, Wenchao Xu, Haozhao Wang, Xing Tang, Yining Qi, Shijie Xu, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li
2024	J	`jnl`	FedBAT: Communication-Efficient Federated Learning via Learnable Binarization. CoRR Shiwei Li, Wenchao Xu, Haozhao Wang, Xing Tang, Yining Qi, Shijie Xu, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li
2024	J	`jnl`	Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models. CoRR Kexin Zhang, Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Kaize Ding, Xiuqiang He, Xue (Steve) Liu
2024	J	`jnl`	Masked Random Noise for Communication Efficient Federaetd Learning. CoRR Shiwei Li, Yingyi Cheng, Haozhao Wang, Xing Tang, Shijie Xu, Weihong Luo, Yuhua Li, Dugang Liu, Xiuqiang He, Ruixuan Li
2024	A*	`conf`	Masked Random Noise for Communication-Efficient Federated Learning. ACM Multimedia Shiwei Li, Yingyi Cheng, Haozhao Wang, Xing Tang, Shijie Xu, Weihong Luo, Yuhua Li, Dugang Liu, Xiuqiang He, Ruixuan Li
2024	J	`jnl`	Mixed-Precision Embeddings for Large-Scale Recommendation Models. CoRR Shiwei Li, Zhuoqi Hu, Fuyuan Lyu, Xing Tang, Haozhao Wang, Shijie Xu, Weihong Luo, Yuhua Li, Xue Liu, Xiuqiang He, Ruixuan Li
2024	A	`conf`	MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems. WSDM Dugang Liu, Chaohua Yang, Xing Tang, Yejing Wang, Fuyuan Lyu, Weihong Luo, Xiuqiang He, Zhong Ming, Xiangyu Zhao
2024	A	`conf`	OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction. CIKM Yunpeng Weng, Xing Tang, Zhenhao Xu, Fuyuan Lyu, Dugang Liu, Zexu Sun, Xiuqiang He
2024	J	`jnl`	OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction. CoRR Yunpeng Weng, Xing Tang, Zhenhao Xu, Fuyuan Lyu, Dugang Liu, Zexu Sun, Xiuqiang He
2024	A*	`conf`	Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing. KDD Bowei He, Yunpeng Weng, Xing Tang, Ziqiang Cui, Zexu Sun, Liang Chen, Xiuqiang He, Chen Ma
2024	J	`jnl`	Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing. CoRR Bowei He, Yunpeng Weng, Xing Tang, Ziqiang Cui, Zexu Sun, Liang Chen, Xiuqiang He, Chen Ma
2024	A	`conf`	Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation. RecSys Xing Tang, Yang Qiao, Fuyuan Lyu, Dugang Liu, Xiuqiang He
2024	J	`jnl`	Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation. CoRR Xing Tang, Yang Qiao, Fuyuan Lyu, Dugang Liu, Xiuqiang He
2024	—	`conf`	Towards Effective and Efficient Multi-valued Treatment Uplift Modeling in Online Marketing. DASFAA (7) Zexu Sun, Dugang Liu, Xing Tang, Yunpeng Weng, Xiuqiang He
2024	J	`jnl`	Training Agents with Weakly Supervised Feedback from Large Language Models. CoRR Dihong Gong, Pu Lu, Zelong Wang, Meng Zhou, Xiuqiang He
2024	A	`conf`	Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks. SDM Ziqiang Cui, Xing Tang, Yang Qiao, Bowei He, Liang Chen, Xiuqiang He, Chen Ma
2024	J	`jnl`	Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks. CoRR Ziqiang Cui, Xing Tang, Yang Qiao, Bowei He, Liang Chen, Xiuqiang He, Chen Ma
2023	J	`jnl`	AIM: Automatic Interaction Machine for Click-Through Rate Prediction. IEEE Trans. Knowl. Data Eng. Chenxu Zhu, Bo Chen, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu
2023	J	`jnl`	Bounding System-Induced Biases in Recommender Systems with A Randomized Dataset. CoRR Dugang Liu, Pengxiang Cheng, Zinan Lin, Xiaolian Zhang, Zhenhua Dong, Rui Zhang, Xiuqiang He, Weike Pan, Zhong Ming
2023	J	`jnl`	Bounding System-Induced Biases in Recommender Systems with a Randomized Dataset. ACM Trans. Inf. Syst. Dugang Liu, Pengxiang Cheng, Zinan Lin, Xiaolian Zhang, Zhenhua Dong, Rui Zhang, Xiuqiang He, Weike Pan, Zhong Ming
2023	A*	`conf`	Curriculum Modeling the Dependence among Targets with Multi-task Learning for Financial Marketing. SIGIR Yunpeng Weng, Xing Tang, Liang Chen, Xiuqiang He
2023	J	`jnl`	Curriculum Modeling the Dependence among Targets with Multi-task Learning for Financial Marketing. CoRR Yunpeng Weng, Xing Tang, Liang Chen, Xiuqiang He
2023	A*	`conf`	DIWIFT: Discovering Instance-wise Influential Features for Tabular Data. WWW Dugang Liu, Pengxiang Cheng, Hong Zhu, Xing Tang, Yanyu Chen, Xiaoting Wang, Weike Pan, Zhong Ming, Xiuqiang He
2023	J	`jnl`	Debiased Recommendation with User Feature Balancing. ACM Trans. Inf. Syst. Mengyue Yang, Guohao Cai, Furui Liu, Jiarui Jin, Zhenhua Dong, Xiuqiang He, Jianye Hao, Weiqi Shao, Jun Wang, Xu Chen
2023	J	`jnl`	Debiased Representation Learning in Recommendation via Information Bottleneck. Trans. Recomm. Syst. Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming
2023	A*	`conf`	Explicit Feature Interaction-aware Uplift Network for Online Marketing. KDD Dugang Liu, Xing Tang, Han Gao, Fuyuan Lyu, Xiuqiang He
2023	J	`jnl`	Explicit Feature Interaction-aware Uplift Network for Online Marketing. CoRR Dugang Liu, Xing Tang, Han Gao, Fuyuan Lyu, Xiuqiang He
2023	J	`jnl`	Feature Representation Learning for Click-through Rate Prediction: A Review and New Perspectives. CoRR Fuyuan Lyu, Xing Tang, Dugang Liu, Haolun Wu, Chen Ma, Xiuqiang He, Xue Liu
2023	J	`jnl`	KDCRec: Knowledge Distillation for Counterfactual Recommendation via Uniform Data. IEEE Trans. Knowl. Data Eng. Dugang Liu, Pengxiang Cheng, Zinan Lin, Jinwei Luo, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming
2023	J	`jnl`	Large-Scale Interactive Recommendation With Tree-Structured Reinforcement Learning. IEEE Trans. Knowl. Data Eng. Haokun Chen, Chenxu Zhu, Ruiming Tang, Weinan Zhang, Xiuqiang He, Yong Yu
2023	J	`jnl`	Learning to Retrieve User Behaviors for Click-through Rate Estimation. ACM Trans. Inf. Syst. Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Guangpeng Zhao, Hao Li, Ruiming Tang, Xiuqiang He, Yong Yu
2023	—	`conf`	OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction. ECML/PKDD (6) Xing Tang, Yang Qiao, Yuwen Fu, Fuyuan Lyu, Dugang Liu, Xiuqiang He
2023	J	`jnl`	OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction. CoRR Xing Tang, Yang Qiao, Yuwen Fu, Fuyuan Lyu, Dugang Liu, Xiuqiang He
2023	A*	`conf`	Optimizing Feature Set for Click-Through Rate Prediction. WWW Fuyuan Lyu, Xing Tang, Dugang Liu, Liang Chen, Xiuqiang He, Xue Liu
2023	J	`jnl`	Optimizing Feature Set for Click-Through Rate Prediction. CoRR Fuyuan Lyu, Xing Tang, Dugang Liu, Liang Chen, Xiuqiang He, Xue Liu
2023	A*	`conf`	Prior-Guided Accuracy-Bias Tradeoff Learning for CTR Prediction in Multimedia Recommendation. ACM Multimedia Dugang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiuqiang He, Zhong Ming
2023	—	`conf`	Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation. DASFAA (4) Dugang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiuqiang He, Weike Pan, Zhong Ming
2023	J	`jnl`	Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation. CoRR Dugang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiuqiang He, Weike Pan, Zhong Ming
2023	A*	`conf`	Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network. NeurIPS Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Weihong Luo, Liang Chen, Xiuqiang He, Xue (Steve) Liu
2023	J	`jnl`	Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network. CoRR Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Weihong Luo, Liang Chen, Xiuqiang He, Xue Liu
2022	A	`conf`	A Cooperative Neural Information Retrieval Pipeline with Knowledge Enhanced Automatic Query Reformulation. WSDM Xiangsheng Li, Jiaxin Mao, Weizhi Ma, Zhijing Wu, Yiqun Liu, Min Zhang, Shaoping Ma, Zhaowei Wang, Xiuqiang He
2022	J	`jnl`	A Graph-Enhanced Click Model for Web Search. CoRR Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Shuai Li, Ruiming Tang, Xiuqiang He, Jianye Hao, Yong Yu
2022	J	`jnl`	Beyond Relevance Ranking: A General Graph Matching Framework for Utility-Oriented Learning to Rank. ACM Trans. Inf. Syst. Xinyi Dai, Yunjia Xi, Weinan Zhang, Qing Liu, Ruiming Tang, Xiuqiang He, Jiawei Hou, Jun Wang, Yong Yu
2022	J	`jnl`	Click-through rate prediction using transfer learning with fine-tuned parameters. Inf. Sci. Xiangli Yang, Qing Liu, Rong Su, Ruiming Tang, Zhirong Liu, Xiuqiang He, Jianxi Yang
2022	A*	`conf`	Contrastive Learning with Positive-Negative Frame Mask for Music Representation. WWW Dong Yao, Zhou Zhao, Shengyu Zhang, Jieming Zhu, Yudong Zhu, Rui Zhang, Xiuqiang He
2022	J	`jnl`	Contrastive Learning with Positive-Negative Frame Mask for Music Representation. CoRR Dong Yao, Zhou Zhao, Shengyu Zhang, Jieming Zhu, Yudong Zhu, Rui Zhang, Xiuqiang He
2022	J	`jnl`	DIWIFT: Discovering Instance-wise Influential Features for Tabular Data. CoRR Pengxiang Cheng, Hong Zhu, Xing Tang, Dugang Liu, Yanyu Chen, Xiaoting Wang, Weike Pan, Zhong Ming, Xiuqiang He
2022	J	`jnl`	Debiased Recommendation with User Feature Balancing. CoRR Mengyue Yang, Guohao Cai, Furui Liu, Zhenhua Dong, Xiuqiang He, Jianye Hao, Jun Wang, Xu Chen
2022	A	`conf`	Hierarchical Imitation Learning via Subgoal Representation Learning for Dynamic Treatment Recommendation. WSDM Lu Wang, Ruiming Tang, Xiaofeng He, Xiuqiang He
2022	J	`jnl`	IPGAN: Generating Informative Item Pairs by Adversarial Sampling. IEEE Trans. Neural Networks Learn. Syst. Guibing Guo, Huan Zhou, Bowei Chen, Zhirong Liu, Xiao Xu, Xu Chen, Zhenhua Dong, Xiuqiang He
2022	A	`conf`	Improving Knowledge Tracing with Collaborative Information. WSDM Ting Long, Jiarui Qin, Jian Shen, Weinan Zhang, Wei Xia, Ruiming Tang, Xiuqiang He, Yong Yu
2022	A*	`conf`	MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction. ICDE Wei Guo, Can Zhang, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Ruiming Tang, Xiuqiang He, Rui Zhang
2022	A*	`conf`	Memorize, Factorize, or be Naive: Learning Optimal Feature Interaction Methods for CTR Prediction. ICDE Fuyuan Lyu, Xing Tang, Huifeng Guo, Ruiming Tang, Xiuqiang He, Rui Zhang, Xue Liu
2022	—	`conf`	PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation. WWW (Companion Volume) Yi Li, Jieming Zhu, Weiwen Liu, Liangcai Su, Guohao Cai, Qi Zhang, Ruiming Tang, Xi Xiao, Xiuqiang He
2022	J	`jnl`	PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation. CoRR Yi Li, Jieming Zhu, Weiwen Liu, Liangcai Su, Guohao Cai, Qi Zhang, Ruiming Tang, Xi Xiao, Xiuqiang He
2022	A*	`conf`	ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems. SIGIR Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang
2022	J	`jnl`	ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems. CoRR Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang
2022	A*	`conf`	Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms. AAAI Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He
2022	J	`jnl`	Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms. CoRR Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He
2022	A*	`conf`	Wnet: Audio-Guided Video Object Segmentation via Wavelet-Based Cross- Modal Denoising Networks. CVPR Wenwen Pan, Haonan Shi, Zhou Zhao, Jieming Zhu, Xiuqiang He, Zhigeng Pan, Lianli Gao, Jun Yu, Fei Wu, Qi Tian
2021	A*	`conf`	A Graph-Enhanced Click Model for Web Search. SIGIR Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Shuai Li, Ruiming Tang, Xiuqiang He, Jianye Hao, Yong Yu
2021	J	`jnl`	AIM: Automatic Interaction Machine for Click-Through Rate Prediction. CoRR Chenxu Zhu, Bo Chen, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu
2021	A*	`conf`	AMM: Attentive Multi-field Matching for News Recommendation. SIGIR Qi Zhang, Qinglin Jia, Chuyuan Wang, Jingjie Li, Zhaowei Wang, Xiuqiang He
2021	J	`jnl`	Adaptive Spatio-Temporal Graph Enhanced Vision-Language Representation for Video QA. IEEE Trans. Image Process. Weike Jin, Zhou Zhao, Xiaochun Cao, Jieming Zhu, Xiuqiang He, Yueting Zhuang
2021	A*	`conf`	An Adversarial Imitation Click Model for Information Retrieval. WWW Xinyi Dai, Jianghao Lin, Weinan Zhang, Shuai Li, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu
2021	J	`jnl`	An Adversarial Imitation Click Model for Information Retrieval. CoRR Xinyi Dai, Jianghao Lin, Weinan Zhang, Shuai Li, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu
2021	A*	`conf`	An Embedding Learning Framework for Numerical Features in CTR Prediction. KDD Huifeng Guo, Bo Chen, Ruiming Tang, Weinan Zhang, Zhenguo Li, Xiuqiang He
2021	J	`jnl`	AutoFT: Automatic Fine-Tune for Parameters Transfer Learning in Click-Through Rate Prediction. CoRR Xiangli Yang, Qing Liu, Rong Su, Ruiming Tang, Zhirong Liu, Xiuqiang He
2021	A	`conf`	BiPS: Hotness-aware Bi-tier Parameter Synchronization for Recommendation Models. IPDPS Qiming Zheng, Quan Chen, Kaihao Bai, Huifeng Guo, Yong Gao, Xiuqiang He, Minyi Guo
2021	J	`jnl`	Content Filtering Enriched GNN Framework for News Recommendation. CoRR Yong Gao, Huifeng Guo, Dandan Lin, Yingxue Zhang, Ruiming Tang, Xiuqiang He
2021	J	`jnl`	Context-aware Reranking with Utility Maximization for Recommendation. CoRR Yunjia Xi, Weiwen Liu, Xinyi Dai, Ruiming Tang, Weinan Zhang, Qing Liu, Xiuqiang He, Yong Yu
2021	A*	`conf`	Cross-Batch Negative Sampling for Training Two-Tower Recommenders. SIGIR Jinpeng Wang, Jieming Zhu, Xiuqiang He
2021	J	`jnl`	Cross-Batch Negative Sampling for Training Two-Tower Recommenders. CoRR Jinpeng Wang, Jieming Zhu, Xiuqiang He
2021	A*	`conf`	Deep Learning for Click-Through Rate Estimation. IJCAI Weinan Zhang, Jiarui Qin, Wei Guo, Ruiming Tang, Xiuqiang He
2021	J	`jnl`	Deep Learning for Click-Through Rate Estimation. CoRR Weinan Zhang, Jiarui Qin, Wei Guo, Ruiming Tang, Xiuqiang He
2021	A*	`conf`	Dual Graph enhanced Embedding Neural Network for CTR Prediction. KDD Wei Guo, Rong Su, Renhao Tan, Huifeng Guo, Yingxue Zhang, Zhirong Liu, Ruiming Tang, Xiuqiang He
2021	J	`jnl`	Dual Graph enhanced Embedding Neural Network for CTR Prediction. CoRR Wei Guo, Rong Su, Renhao Tan, Huifeng Guo, Yingxue Zhang, Zhirong Liu, Ruiming Tang, Xiuqiang He
2021	B	`conf`	Dual Sequence Transformer for Query-based Interactive Recommendation. MDM Guohao Cai, Xiaoguang Li, Quanyu Dai, Gang Wang, Zhenhua Dong, Chaoliang Zhang, Xiuqiang He, Lifeng Shang
2021	A	`conf`	Enhancing Explicit and Implicit Feature Interactions via Information Sharing for Parallel Deep CTR Models. CIKM Bo Chen, Yichao Wang, Zhirong Liu, Ruiming Tang, Wei Guo, Hongkun Zheng, Weiwei Yao, Muyu Zhang, Xiuqiang He
2021	A*	`conf`	Graph Heterogeneous Multi-Relational Recommendation. AAAI Chong Chen, Weizhi Ma, Min Zhang, Zhaowei Wang, Xiuqiang He, Chenyang Wang, Yiqun Liu, Shaoping Ma
2021	A*	`conf`	Hierarchical Cross-Modal Graph Consistency Learning for Video-Text Retrieval. SIGIR Weike Jin, Zhou Zhao, Pengcheng Zhang, Jieming Zhu, Xiuqiang He, Yueting Zhuang
2021	J	`jnl`	MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction. CoRR Wei Guo, Can Zhang, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Ruiming Tang, Xiuqiang He, Rui Zhang
2021	J	`jnl`	Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction. CoRR Fuyuan Lyu, Xing Tang, Huifeng Guo, Ruiming Tang, Xiuqiang He, Rui Zhang, Xue Liu
2021	A	`conf`	Mitigating Confounding Bias in Recommendation via Information Bottleneck. RecSys Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming
2021	J	`jnl`	Mobile App Cross-Domain Recommendation with Multi-Graph Neural Network. ACM Trans. Knowl. Discov. Data Yi Ouyang, Bin Guo, Xing Tang, Xiuqiang He, Jian Xiong, Zhiwen Yu
2021	A*	`conf`	Modeling High-order Interactions across Multi-interests for Micro-video Reommendation (Student Abstract). AAAI Dong Yao, Shengyu Zhang, Zhou Zhao, Wenyan Fan, Jieming Zhu, Xiuqiang He, Fei Wu
2021	J	`jnl`	Modeling High-order Interactions across Multi-interests for Micro-video Reommendation. CoRR Dong Yao, Shengyu Zhang, Zhou Zhao, Wenyan Fan, Jieming Zhu, Xiuqiang He, Fei Wu
2021	J	`jnl`	Modeling Relevance Ranking under the Pre-training and Fine-tuning Paradigm. CoRR Lin Bo, Liang Pang, Gang Wang, Jun Xu, Xiuqiang He, Ji-Rong Wen
2021	A	`conf`	Open Benchmarking for Click-Through Rate Prediction. CIKM Jieming Zhu, Jinyang Liu, Shuai Yang, Qi Zhang, Xiuqiang He
2021	J	`jnl`	QA4PRF: A Question Answering Based Framework for Pseudo Relevance Feedback. IEEE Access Handong Ma, Jiawei Hou, Chenxu Zhu, Weinan Zhang, Ruiming Tang, Jincai Lai, Jieming Zhu, Xiuqiang He, Yong Yu
2021	J	`jnl`	QA4PRF: A Question Answering based Framework for Pseudo Relevance Feedback. CoRR Handong Ma, Jiawei Hou, Chenxu Zhu, Weinan Zhang, Ruiming Tang, Jincai Lai, Jieming Zhu, Xiuqiang He, Yong Yu
2021	A*	`conf`	RMBERT: News Recommendation via Recurrent Reasoning Memory Network over BERT. SIGIR Qinglin Jia, Jingjie Li, Qi Zhang, Xiuqiang He, Jieming Zhu
2021	A*	`conf`	Retrieval & Interaction Machine for Tabular Data Prediction. KDD Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Ruiming Tang, Xiuqiang He, Yong Yu
2021	J	`jnl`	Retrieval & Interaction Machine for Tabular Data Prediction. CoRR Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Ruiming Tang, Xiuqiang He, Yong Yu
2021	A*	`conf`	ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table. SIGIR Huifeng Guo, Wei Guo, Yong Gao, Ruiming Tang, Xiuqiang He, Wenzhi Liu
2021	J	`jnl`	ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table. CoRR Huifeng Guo, Wei Guo, Yong Gao, Ruiming Tang, Xiuqiang He, Wenzhi Liu
2021	A	`conf`	SimpleX: A Simple and Strong Baseline for Collaborative Filtering. CIKM Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He
2021	J	`jnl`	SimpleX: A Simple and Strong Baseline for Collaborative Filtering. CoRR Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He
2021	A	`conf`	Top-N Recommendation with Counterfactual User Preference Simulation. CIKM Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang
2021	J	`jnl`	Top-N Recommendation with Counterfactual User Preference Simulation. CoRR Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang
2021	A*	`conf`	Topic-enhanced knowledge-aware retrieval model for diverse relevance estimation. WWW Xiangsheng Li, Jiaxin Mao, Weizhi Ma, Yiqun Liu, Min Zhang, Shaoping Ma, Zhaowei Wang, Xiuqiang He
2021	J	`jnl`	Towards Low-loss 1-bit Quantization of User-item Representations for Top-K Recommendation. CoRR Yankai Chen, Yifei Zhang, Yingxue Zhang, Huifeng Guo, Jingjie Li, Ruiming Tang, Xiuqiang He, Irwin King
2021	A*	`conf`	UNBERT: User-News Matching BERT for News Recommendation. IJCAI Qi Zhang, Jingjie Li, Qinglin Jia, Chuyuan Wang, Jieming Zhu, Zhaowei Wang, Xiuqiang He
2021	A	`conf`	UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation. CIKM Kelong Mao, Jieming Zhu, Xi Xiao, Biao Lu, Zhaowei Wang, Xiuqiang He
2021	J	`jnl`	UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation. CoRR Kelong Mao, Jieming Zhu, Xi Xiao, Biao Lu, Zhaowei Wang, Xiuqiang He
2021	A*	`conf`	Why Do We Click: Visual Impression-aware News Recommendation. ACM Multimedia Jiahao Xun, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Qi Zhang, Jingjie Li, Xiuqiang He, Xiaofei He, Tat-Seng Chua, Fei Wu
2021	J	`jnl`	Why Do We Click: Visual Impression-aware News Recommendation. CoRR Jiahao Xun, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Qi Zhang, Jingjie Li, Xiuqiang He, Xiaofei He, Tat-Seng Chua, Fei Wu
2020	A*	`conf`	A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks. KDD Jianing Sun, Wei Guo, Dengcheng Zhang, Yingxue Zhang, Florence Regol, Yaochen Hu, Huifeng Guo, Ruiming Tang, Han Yuan, Xiuqiang He, Mark Coates
2020	A*	`conf`	A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data. SIGIR Dugang Liu, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming
2020	J	`jnl`	A Practical Incremental Method to Train Deep CTR Models. CoRR Yichao Wang, Huifeng Guo, Ruiming Tang, Zhirong Liu, Xiuqiang He
2020	B	`conf`	AutoConjunction: Adaptive Model-based Feature Conjunction for CTR Prediction. MDM Chih-Yao Chang, Xing Tang, Bo-Wen Yuan, Jui-Yang Hsia, Zhirong Liu, Zhenhua Dong, Xiuqiang He, Chih-Jen Lin
2020	J	`jnl`	AutoDis: Automatic Discretization for Embedding Numerical Features in CTR Prediction. CoRR Huifeng Guo, Bo Chen, Ruiming Tang, Zhenguo Li, Xiuqiang He
2020	A*	`conf`	AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction. KDD Bin Liu, Chenxu Zhu, Guilin Li, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu
2020	J	`jnl`	AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction. CoRR Bin Liu, Chenxu Zhu, Guilin Li, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu
2020	A	`conf`	AutoFeature: Searching for Feature Interactions and Their Architectures for Click-through Rate Prediction. CIKM Farhan Khawar, Xu Hang, Ruiming Tang, Bin Liu, Zhenguo Li, Xiuqiang He
2020	A*	`conf`	AutoGroup: Automatic Feature Grouping for Modelling Explicit High-Order Feature Interactions in CTR Prediction. SIGIR Bin Liu, Niannan Xue, Huifeng Guo, Ruiming Tang, Stefanos Zafeiriou, Xiuqiang He, Zhenguo Li
2020	A	`conf`	BiGAN: Collaborative Filtering with Bidirectional Generative Adversarial Networks. SDM Rui Ding, Guibing Guo, Xiaochun Yang, Bowei Chen, Zhirong Liu, Xiuqiang He
2020	A*	`conf`	Counterfactual Contrastive Learning for Weakly-Supervised Vision-Language Grounding. NeurIPS Zhu Zhang, Zhou Zhao, Zhijie Lin, Jieming Zhu, Xiuqiang He
2020	A	`conf`	Counterfactual learning for recommender system. RecSys Zhenhua Dong, Hong Zhu, Pengxiang Cheng, Xinhua Feng, Guohao Cai, Xiuqiang He, Jun Xu, Jirong Wen
2020	—	`conf`	Dual-attentional Factorization-Machines based Neural Network for User Response Prediction. WWW (Companion Volume) Feng Liu, Wei Guo, Huifeng Guo, Ruiming Tang, Yunming Ye, Xiuqiang He
2020	A	`conf`	End-to-End Deep Reinforcement Learning based Recommendation with Supervised Embedding. WSDM Feng Liu, Huifeng Guo, Xutao Li, Ruiming Tang, Yunming Ye, Xiuqiang He
2020	A	`conf`	Ensembled CTR Prediction via Knowledge Distillation. CIKM Jieming Zhu, Jinyang Liu, Weiqi Li, Jincai Lai, Xiuqiang He, Liang Chen, Zibin Zheng
2020	J	`jnl`	Ensembled CTR Prediction via Knowledge Distillation. CoRR Jieming Zhu, Jinyang Liu, Weiqi Li, Jincai Lai, Xiuqiang He, Liang Chen, Zibin Zheng
2020	J	`jnl`	FuxiCTR: An Open Benchmark for Click-Through Rate Prediction. CoRR Jieming Zhu, Jinyang Liu, Shuai Yang, Qi Zhang, Xiuqiang He
2020	A*	`conf`	Influence Function for Unbiased Recommendation. SIGIR Jiangxing Yu, Hong Zhu, Chih-Yao Chang, Xinhua Feng, Bo-Wen Yuan, Xiuqiang He, Zhenhua Dong
2020	A*	`conf`	Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning. SIGIR Sijin Zhou, Xinyi Dai, Haokun Chen, Weinan Zhang, Kan Ren, Ruiming Tang, Xiuqiang He, Yong Yu
2020	J	`jnl`	Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning. CoRR Sijin Zhou, Xinyi Dai, Haokun Chen, Weinan Zhang, Kan Ren, Ruiming Tang, Xiuqiang He, Yong Yu
2020	A*	`conf`	Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach. SIGIR Kelong Mao, Xi Xiao, Jieming Zhu, Biao Lu, Ruiming Tang, Xiuqiang He
2020	J	`jnl`	Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach. CoRR Kelong Mao, Xi Xiao, Jieming Zhu, Biao Lu, Ruiming Tang, Xiuqiang He
2020	A*	`conf`	JIT2R: A Joint Framework for Item Tagging and Tag-based Recommendation. SIGIR Xu Chen, Changying Du, Xiuqiang He, Jun Wang
2020	A*	`conf`	Less Is Better: Unweighted Data Subsampling via Influence Function. AAAI Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang
2020	A*	`conf`	Leveraging Title-Abstract Attentive Semantics for Paper Recommendation. AAAI Guibing Guo, Bowei Chen, Xiaoyan Zhang, Zhirong Liu, Zhenhua Dong, Xiuqiang He
2020	A*	`conf`	MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection. WWW Mi Luo, Fei Chen, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Jiashi Feng, Zhenguo Li
2020	J	`jnl`	MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection. CoRR Mi Luo, Fei Chen, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Jiashi Feng, Zhenguo Li
2020	A*	`conf`	Multi-Branch Convolutional Network for Context-Aware Recommendation. SIGIR Wei Guo, Can Zhang, Huifeng Guo, Ruiming Tang, Xiuqiang He
2020	J	`jnl`	Multi-Graph Convolution Collaborative Filtering. CoRR Jianing Sun, Yingxue Zhang, Chen Ma, Mark Coates, Huifeng Guo, Ruiming Tang, Xiuqiang He
2020	A*	`conf`	Neighbor Interaction Aware Graph Convolution Networks for Recommendation. SIGIR Jianing Sun, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Xiuqiang He, Chen Ma, Mark Coates
2020	J	`jnl`	Personalized Re-ranking for Improving Diversity in Live Recommender Systems. CoRR Yichao Wang, Xiangyu Zhang, Zhirong Liu, Zhenhua Dong, Xinhua Feng, Ruiming Tang, Xiuqiang He
2020	A	`conf`	Personalized Re-ranking with Item Relationships for E-commerce. CIKM Weiwen Liu, Qing Liu, Ruiming Tang, Junyang Chen, Xiuqiang He, Pheng-Ann Heng
2020	A*	`conf`	Regularized Two-Branch Proposal Networks for Weakly-Supervised Moment Retrieval in Videos. ACM Multimedia Zhu Zhang, Zhijie Lin, Zhou Zhao, Jieming Zhu, Xiuqiang He
2020	J	`jnl`	Regularized Two-Branch Proposal Networks for Weakly-Supervised Moment Retrieval in Videos. CoRR Zhu Zhang, Zhijie Lin, Zhou Zhao, Jieming Zhu, Xiuqiang He
2020	J	`jnl`	State representation modeling for deep reinforcement learning based recommendation. Knowl. Based Syst. Feng Liu, Ruiming Tang, Xutao Li, Weinan Zhang, Yunming Ye, Haokun Chen, Huifeng Guo, Yuzhou Zhang, Xiuqiang He
2020	A	`conf`	TGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation. CIKM Bo Chen, Wei Guo, Ruiming Tang, Xin Xin, Yue Ding, Xiuqiang He, Dong Wang
2020	J	`jnl`	Top-aware reinforcement learning based recommendation. Neurocomputing Feng Liu, Ruiming Tang, Huifeng Guo, Xutao Li, Yunming Ye, Xiuqiang He
2020	A	`conf`	U-rank: Utility-oriented Learning to Rank with Implicit Feedback. CIKM Xinyi Dai, Jiawei Hou, Qing Liu, Yunjia Xi, Ruiming Tang, Weinan Zhang, Xiuqiang He, Jun Wang, Yong Yu
2020	J	`jnl`	U-rank: Utility-oriented Learning to Rank with Implicit Feedback. CoRR Xinyi Dai, Jiawei Hou, Qing Liu, Yunjia Xi, Ruiming Tang, Weinan Zhang, Xiuqiang He, Jun Wang, Yong Yu
2019	J	`jnl`	Learning Cross-Domain Representation with Multi-Graph Neural Network. CoRR Yi Ouyang, Bin Guo, Xing Tang, Xiuqiang He, Jian Xiong, Zhiwen Yu
2019	J	`jnl`	Less Is Better: Unweighted Data Subsampling via Influence Function. CoRR Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang
2019	J	`jnl`	Model-free inference of diffusion networks using RKHS embeddings. Data Min. Knowl. Discov. Shoubo Hu, Bogdan Cautis, Zhitang Chen, Laiwan Chan, Yanhui Geng, Xiuqiang He
2019	J	`jnl`	Modeling the Past and Future Contexts for Session-based Recommendation. CoRR Fajie Yuan, Xiangnan He, Guibing Guo, Zhezhao Xu, Jian Xiong, Xiuqiang He
2019	A*	`conf`	Multi-graph Convolution Collaborative Filtering. ICDM Jianing Sun, Yingxue Zhang, Chen Ma, Mark Coates, Huifeng Guo, Ruiming Tang, Xiuqiang He
2019	J	`jnl`	Product-Based Neural Networks for User Response Prediction over Multi-Field Categorical Data. ACM Trans. Inf. Syst. Yanru Qu, Bohui Fang, Weinan Zhang, Ruiming Tang, Minzhe Niu, Huifeng Guo, Yong Yu, Xiuqiang He
2018	J	`jnl`	Collaborative Filtering with Graph-based Implicit Feedback. CoRR Minzhe Niu, Weinan Zhang, Yanru Qu, Xuezhi Cao, Ruiming Tang, Xiuqiang He, Yong Yu
2018	J	`jnl`	DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction. CoRR Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He, Zhenhua Dong
2018	J	`jnl`	Federated Meta-Learning for Recommendation. CoRR Fei Chen, Zhenhua Dong, Zhenguo Li, Xiuqiang He
2018	A	`conf`	Field-aware probabilistic embedding neural network for CTR prediction. RecSys Weiwen Liu, Ruiming Tang, Jiajin Li, Jinkai Yu, Huifeng Guo, Xiuqiang He, Shengyu Zhang
2018	—	`conf`	Novel Approaches to Accelerating the Convergence Rate of Markov Decision Process for Search Result Diversification. DASFAA (2) Feng Liu, Ruiming Tang, Xutao Li, Yunming Ye, Huifeng Guo, Xiuqiang He
2018	J	`jnl`	Novel Approaches to Accelerating the Convergence Rate of Markov Decision Process for Search Result Diversification. CoRR Feng Liu, Ruiming Tang, Xutao Li, Yunming Ye, Huifeng Guo, Xiuqiang He
2018	J	`jnl`	Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data. CoRR Yanru Qu, Bohui Fang, Weinan Zhang, Ruiming Tang, Minzhe Niu, Huifeng Guo, Yong Yu, Xiuqiang He
2017	—	`conf`	A Graph-Based Push Service Platform. DASFAA (2) Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He
2017	A*	`conf`	DeepFM: A Factorization-Machine based Neural Network for CTR Prediction. IJCAI Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He
2017	J	`jnl`	DeepFM: A Factorization-Machine based Neural Network for CTR Prediction. CoRR Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He
2017	—	`conf`	Holistic Neural Network for CTR Prediction. WWW (Companion Volume) Huifeng Guo, Ruiming Tang, Yunming Ye, Xiuqiang He
2016	J	`jnl`	A Graph-based Push Service Platform. CoRR Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He
2015	—	`conf`	Mining target users for online marketing based on App Store data. IEEE BigData Xiuqiang He, Wenyuan Dai, Guoxiang Cao, Ruiming Tang, Mingxuan Yuan, Qiang Yang
2015	A*	`conf`	Personalized Tag Recommendation through Nonlinear Tensor Factorization Using Gaussian Kernel. AAAI Xiaomin Fang, Rong Pan, Guoxiang Cao, Xiuqiang He, Wenyuan Dai
2015	—	`conf`	Valuating Queries for Data Trading in Modern Cities. ICDM Workshops Ruiming Tang, Huayu Wu, Xiuqiang He, Stéphane Bressan
2014	J	`jnl`	OceanST: A Distributed Analytic System for Large-Scale Spatiotemporal Mobile Broadband Data. Proc. VLDB Endow. Mingxuan Yuan, Ke Deng, Jia Zeng, Yanhua Li, Bing Ni, Xiuqiang He, Fei Wang, Wenyuan Dai, Qiang Yang
2012	B	`conf`	A Panoramic View of 3G Data/Control-Plane Traffic: Mobile Device Perspective. Networking (1) Xiuqiang He, Patrick P. C. Lee, Lujia Pan, Cheng He, John C. S. Lui
2010	J	`jnl`	Hardware/software partitioning and pipelined scheduling on runtime reconfigurable FPGAs. ACM Trans. Design Autom. Electr. Syst. Mingxuan Yuan, Zonghua Gu, Xiuqiang He, Xue Liu, Lei Jiang
2010	J	`jnl`	Task Allocation and Optimization of Distributed Embedded Systems with Simulated Annealing and Geometric Programming. Comput. J. Xiuqiang He, Zonghua Gu, Yongxin Zhu
2009	J	`jnl`	Efficient algorithms for 2D area management and online task placement on runtime reconfigurable FPGAs. Microprocess. Microsystems Zonghua Gu, Weichen Liu, Jiang Xu, Jin Cui, Xiuqiang He, Qingxu Deng
2008	J	`jnl`	A Hierarchical Framework for Design Space Exploration and Optimization of TTP-Based Distributed Embedded Systems. IEEE Trans. Ind. Informatics Xiuqiang He, Mingxuan Yuan, Zonghua Gu
2008	A	`conf`	Efficient SAT-Based Mapping and Scheduling of Homogeneous Synchronous Dataflow Graphs for Throughput Optimization. RTSS Weichen Liu, Mingxuan Yuan, Xiuqiang He, Zonghua Gu, Xue Liu
2008	A	`conf`	Hardware/Software Partitioning and Static Task Scheduling on Runtime Reconfigurable FPGAs using a SMT Solver. IEEE Real-Time and Embedded Technology and Applications Symposium Mingxuan Yuan, Xiuqiang He, Zonghua Gu
2007	A	`conf`	An efficient algorithm for online management of 2D area of partially reconfigurable FPGAs. DATE Jin Cui, Qingxu Deng, Xiuqiang He, Zonghua Gu
2007	A	`conf`	Optimal Static Task Scheduling on Reconfigurable Hardware Devices Using Model-Checking. IEEE Real-Time and Embedded Technology and Applications Symposium Zonghua Gu, Mingxuan Yuan, Xiuqiang He
2007	A*	`conf`	Optimization of Static Task and Bus Access Schedules for Time-Triggered Distributed Embedded Systems with Model-Checking. DAC Zonghua Gu, Xiuqiang He, Mingxuan Yuan
2007	A	`conf`	Static Scheduling and Software Synthesis for Dataflow Graphs with Symbolic Model-Checking. RTSS Zonghua Gu, Mingxuan Yuan, Nan Guan, Mingsong Lv, Xiuqiang He, Qingxu Deng, Ge Yu
2005	—	`conf`	A Constellation Model for Grid Resource Management. APPT Yinfeng Wang, Xiaoshe Dong, Xiuqiang He, Hua Guo, Fang Zheng, Zhongsheng Qin
2005	—	`conf`	A Constellation Resource Discovery Model Based on Scalable Multi-tape Universal Turing Machine. GCC Yinfeng Wang, Xiaoshe Dong, Hua Guo, Xiuqiang He, Guorong Liu
2005	—	`conf`	Construction of Overlay Network in P2P-based Resource Discovery Model in Grid Environment. SKG Xiaoshe Dong, Xiuqiang He, Hua Guo, Wancheng Li, Xingjun Zhang
2005	—	`conf`	The Campus Resource Management Based on Constellation Model in the ChinaGrid. ISPA Workshops Xiaoshe Dong, Yinfeng Wang, Xiuqiang He, Hua Guo, Fang Zheng, Weiguo Wu