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Xiuqiang He

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

103

Venues

24

Active years

2005–2026

Best venue rank

A*

Where they publish

Papers

103 indexed papers, newest first.

YearVenueTitleAuthors
2026ACLLearning from Cognition: Enhancing RL Efficiency for LLM Reasoning via Hierarchical Metacognitive Decomposition and Refinement.Zexu Sun, Yongcheng Zeng, Erxue Min, Heyang Gao, Bokai Ji, Dugang Liu, Xing Tang, Xiuqiang He, Xu Chen
2026WWWData-Driven Function Calling Improvements in Large Language Model for Online Financial QA.Xing Tang, Hao Chen, Shiwei Li, Fuyuan Lyu, Weijie Shi, Lingjie Li, Dugang Liu, Weihong Luo, Xiku Du, Xiuqiang He
2026SIGIRExploring Test-time Scaling via Prediction Merging on Large-Scale Recommendation.Fuyuan Lyu, Zhentai Chen, Jingyan Jiang, Lingjie Li, Xing Tang, Xiuqiang He, Xue Liu
2026SIGIRDeepResearch-9K: A Challenging Benchmark Dataset of Deep-Research Agent.Tongzhou Wu, Yuhao Wang, Xinyu Ma, Xiuqiang He, Shuaiqiang Wang, Dawei Yin, Xiangyu Zhao
2026SIGIRFedMM: Federated Collaborative Signal Quantization for Multi-Market CTR Prediction.Jun Zhang, Dugang Liu, Xing Tang, Xiuqiang He, Zhong Ming
2026WSDMAutomated Information Flow Selection for Multi-scenario Multi-task Recommendation.Chaohua Yang, Dugang Liu, Shiwei Li, Yuwen Fu, Xing Tang, Weihong Luo, Xiangyu Zhao, Xiuqiang He, Zhong Ming
2025DASFAAA Predict-Then-Optimize Customer Allocation Framework for Online Fund Recommendation.Xing Tang, Yunpeng Weng, Fuyuan Lyu, Dugang Liu, Xiuqiang He
2025ICLRUncertainty and Influence aware Reward Model Refinement for Reinforcement Learning from Human Feedback.Zexu Sun, Yiju Guo, Yankai Lin, Xu Chen, Qi Qi, Xing Tang, Xiuqiang He, Ji-Rong Wen
2025ICMLBeyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics.Shiwei Li, Xiandi Luo, Xing Tang, Haozhao Wang, Hao Chen, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li
2025ICMLThe Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning.Shiwei Li, Xiandi Luo, Haozhao Wang, Xing Tang, Shijie Xu, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li
2025ICMLInvariant Deep Uplift Modeling for Incentive Assignment in Online Marketing via Probability of Necessity and Sufficiency.Zexu Sun, Qiyu Han, Hao Yang, Anpeng Wu, Minqin Zhu, Dugang Liu, Chen Ma, Yunpeng Weng, Xing Tang, Xiuqiang He
2025KDDRetrieval Augmented Cross-Domain LifeLong Behavior Modeling for Enhancing Click-through Rate Prediction.Xing Tang, Chaohua Yang, Yuwen Fu, Dongyang Ao, Shiwei Li, Fuyuan Lyu, Dugang Liu, Xiuqiang He
2025KDDScenario Shared Instance Modeling for Click-through Rate Prediction.Dugang Liu, Chaohua Yang, Yuwen Fu, Xing Tang, Gongfu Li, Fuyuan Lyu, Xiuqiang He, Zhong Ming
2025KDDTiming is Important: Risk-aware Fund Allocation based on Time-Series Forecasting.Fuyuan Lyu, Linfeng Du, Yunpeng Weng, Qiufang Ying, Zhiyan Xu, Wen Zou, Haolun Wu, Xiuqiang He, Xing Tang
2025SIGIRComprehending Knowledge Graphs with Large Language Models for Recommender Systems.Ziqiang Cui, Yunpeng Weng, Xing Tang, Fuyuan Lyu, Dugang Liu, Xiuqiang He, Chen Ma
2025SIGIRMulti-scenario Instance Embedding Learning for Deep Recommender Systems.Chaohua Yang, Dugang Liu, Xing Tang, Yuwen Fu, Xiuqiang He, Xiangyu Zhao, Zhong Ming
2025WSDMFusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models.Kexin Zhang, Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Kaize Ding, Xiuqiang He, Xue Liu
2024CIKMOptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction.Yunpeng Weng, Xing Tang, Zhenhao Xu, Fuyuan Lyu, Dugang Liu, Zexu Sun, Xiuqiang He
2024DASFAATowards Effective and Efficient Multi-valued Treatment Uplift Modeling in Online Marketing.Zexu Sun, Dugang Liu, Xing Tang, Yunpeng Weng, Xiuqiang He
2024ICMLFedBAT: Communication-Efficient Federated Learning via Learnable Binarization.Shiwei Li, Wenchao Xu, Haozhao Wang, Xing Tang, Yining Qi, Shijie Xu, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li
2024IECONDynamic Complex-Frequency Control of Grid-Forming Converters.Roger Domingo-Enrich, Xiuqiang He, Verena Hberle, Florian Drfler
2024KDDRankability-enhanced Revenue Uplift Modeling Framework for Online Marketing.Bowei He, Yunpeng Weng, Xing Tang, Ziqiang Cui, Zexu Sun, Liang Chen, Xiuqiang He, Chen Ma
2024RecSysTouch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation.Xing Tang, Yang Qiao, Fuyuan Lyu, Dugang Liu, Xiuqiang He
2024RecSysEnd-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling.Zexu Sun, Hao Yang, Dugang Liu, Yunpeng Weng, Xing Tang, Xiuqiang He
2024SIGIRAutoDCS: Automated Decision Chain Selection in Deep Recommender Systems.Dugang Liu, Shenxian Xian, Yuhao Wu, Chaohua Yang, Xing Tang, Xiuqiang He, Zhong Ming
2024WSDMMultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems.Dugang Liu, Chaohua Yang, Xing Tang, Yejing Wang, Fuyuan Lyu, Weihong Luo, Xiuqiang He, Zhong Ming, Xiangyu Zhao
2024SDMTreatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks.Ziqiang Cui, Xing Tang, Yang Qiao, Bowei He, Liang Chen, Xiuqiang He, Chen Ma
2023DASFAASelf-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation.Dugang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiuqiang He, Weike Pan, Zhong Ming
2023KDDExplicit Feature Interaction-aware Uplift Network for Online Marketing.Dugang Liu, Xing Tang, Han Gao, Fuyuan Lyu, Xiuqiang He
2023WWWDIWIFT: Discovering Instance-wise Influential Features for Tabular Data.Dugang Liu, Pengxiang Cheng, Hong Zhu, Xing Tang, Yanyu Chen, Xiaoting Wang, Weike Pan, Zhong Ming, Xiuqiang He
2023WWWOptimizing Feature Set for Click-Through Rate Prediction.Fuyuan Lyu, Xing Tang, Dugang Liu, Liang Chen, Xiuqiang He, Xue Liu
2023SIGIRCurriculum Modeling the Dependence among Targets with Multi-task Learning for Financial Marketing.Yunpeng Weng, Xing Tang, Liang Chen, Xiuqiang He
2022AAAIRegularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms.Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He
2022CVPRWnet: Audio-Guided Video Object Segmentation via Wavelet-Based Cross- Modal Denoising Networks.Wenwen Pan, Haonan Shi, Zhou Zhao, Jieming Zhu, Xiuqiang He, Zhigeng Pan, Lianli Gao, Jun Yu, Fei Wu, Qi Tian
2022ICDEMISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction.Wei Guo, Can Zhang, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Ruiming Tang, Xiuqiang He, Rui Zhang
2022ICDEMemorize, Factorize, or be Naive: Learning Optimal Feature Interaction Methods for CTR Prediction.Fuyuan Lyu, Xing Tang, Huifeng Guo, Ruiming Tang, Xiuqiang He, Rui Zhang, Xue Liu
2022WWWPEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation.Yi Li, Jieming Zhu, Weiwen Liu, Liangcai Su, Guohao Cai, Qi Zhang, Ruiming Tang, Xi Xiao, Xiuqiang He
2022WWWContrastive Learning with Positive-Negative Frame Mask for Music Representation.Dong Yao, Zhou Zhao, Shengyu Zhang, Jieming Zhu, Yudong Zhu, Rui Zhang, Xiuqiang He
2022SIGIRReLoop: A Self-Correction Continual Learning Loop for Recommender Systems.Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang
2022WSDMA Cooperative Neural Information Retrieval Pipeline with Knowledge Enhanced Automatic Query Reformulation.Xiangsheng Li, Jiaxin Mao, Weizhi Ma, Zhijing Wu, Yiqun Liu, Min Zhang, Shaoping Ma, Zhaowei Wang, Xiuqiang He
2022WSDMImproving Knowledge Tracing with Collaborative Information.Ting Long, Jiarui Qin, Jian Shen, Weinan Zhang, Wei Xia, Ruiming Tang, Xiuqiang He, Yong Yu
2022WSDMHierarchical Imitation Learning via Subgoal Representation Learning for Dynamic Treatment Recommendation.Lu Wang, Ruiming Tang, Xiaofeng He, Xiuqiang He
2021AAAIGraph Heterogeneous Multi-Relational Recommendation.Chong Chen, Weizhi Ma, Min Zhang, Zhaowei Wang, Xiuqiang He, Chenyang Wang, Yiqun Liu, Shaoping Ma
2021AAAIModeling 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
2021CIKMEnhancing Explicit and Implicit Feature Interactions via Information Sharing for Parallel Deep CTR Models.Bo Chen, Yichao Wang, Zhirong Liu, Ruiming Tang, Wei Guo, Hongkun Zheng, Weiwei Yao, Muyu Zhang, Xiuqiang He
2021CIKMSimpleX: A Simple and Strong Baseline for Collaborative Filtering.Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He
2021CIKMUltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation.Kelong Mao, Jieming Zhu, Xi Xiao, Biao Lu, Zhaowei Wang, Xiuqiang He
2021CIKMTop-N Recommendation with Counterfactual User Preference Simulation.Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang
2021CIKMOpen Benchmarking for Click-Through Rate Prediction.Jieming Zhu, Jinyang Liu, Shuai Yang, Qi Zhang, Xiuqiang He
2021IJCAIUNBERT: User-News Matching BERT for News Recommendation.Qi Zhang, Jingjie Li, Qinglin Jia, Chuyuan Wang, Jieming Zhu, Zhaowei Wang, Xiuqiang He
2021IJCAIDeep Learning for Click-Through Rate Estimation.Weinan Zhang, Jiarui Qin, Wei Guo, Ruiming Tang, Xiuqiang He
2021KDDAn Embedding Learning Framework for Numerical Features in CTR Prediction.Huifeng Guo, Bo Chen, Ruiming Tang, Weinan Zhang, Zhenguo Li, Xiuqiang He
2021KDDDual Graph enhanced Embedding Neural Network for CTR Prediction.Wei Guo, Rong Su, Renhao Tan, Huifeng Guo, Yingxue Zhang, Zhirong Liu, Ruiming Tang, Xiuqiang He
2021KDDRetrieval & Interaction Machine for Tabular Data Prediction.Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Ruiming Tang, Xiuqiang He, Yong Yu
2021MDMDual Sequence Transformer for Query-based Interactive Recommendation.Guohao Cai, Xiaoguang Li, Quanyu Dai, Gang Wang, Zhenhua Dong, Chaoliang Zhang, Xiuqiang He, Lifeng Shang
2021RecSysMitigating Confounding Bias in Recommendation via Information Bottleneck.Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming
2021WWWAn Adversarial Imitation Click Model for Information Retrieval.Xinyi Dai, Jianghao Lin, Weinan Zhang, Shuai Li, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu
2021WWWTopic-enhanced knowledge-aware retrieval model for diverse relevance estimation.Xiangsheng Li, Jiaxin Mao, Weizhi Ma, Yiqun Liu, Min Zhang, Shaoping Ma, Zhaowei Wang, Xiuqiang He
2021SIGIRScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table.Huifeng Guo, Wei Guo, Yong Gao, Ruiming Tang, Xiuqiang He, Wenzhi Liu
2021SIGIRRMBERT: News Recommendation via Recurrent Reasoning Memory Network over BERT.Qinglin Jia, Jingjie Li, Qi Zhang, Xiuqiang He, Jieming Zhu
2021SIGIRHierarchical Cross-Modal Graph Consistency Learning for Video-Text Retrieval.Weike Jin, Zhou Zhao, Pengcheng Zhang, Jieming Zhu, Xiuqiang He, Yueting Zhuang
2021SIGIRA Graph-Enhanced Click Model for Web Search.Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Shuai Li, Ruiming Tang, Xiuqiang He, Jianye Hao, Yong Yu
2021SIGIRCross-Batch Negative Sampling for Training Two-Tower Recommenders.Jinpeng Wang, Jieming Zhu, Xiuqiang He
2021SIGIRAMM: Attentive Multi-field Matching for News Recommendation.Qi Zhang, Qinglin Jia, Chuyuan Wang, Jingjie Li, Zhaowei Wang, Xiuqiang He
2020AAAILeveraging Title-Abstract Attentive Semantics for Paper Recommendation.Guibing Guo, Bowei Chen, Xiaoyan Zhang, Zhirong Liu, Zhenhua Dong, Xiuqiang He
2020AAAILess Is Better: Unweighted Data Subsampling via Influence Function.Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang
2020CIKMTGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation.Bo Chen, Wei Guo, Ruiming Tang, Xin Xin, Yue Ding, Xiuqiang He, Dong Wang
2020CIKMU-rank: Utility-oriented Learning to Rank with Implicit Feedback.Xinyi Dai, Jiawei Hou, Qing Liu, Yunjia Xi, Ruiming Tang, Weinan Zhang, Xiuqiang He, Jun Wang, Yong Yu
2020CIKMAutoFeature: Searching for Feature Interactions and Their Architectures for Click-through Rate Prediction.Farhan Khawar, Xu Hang, Ruiming Tang, Bin Liu, Zhenguo Li, Xiuqiang He
2020CIKMPersonalized Re-ranking with Item Relationships for E-commerce.Weiwen Liu, Qing Liu, Ruiming Tang, Junyang Chen, Xiuqiang He, Pheng-Ann Heng
2020CIKMEnsembled CTR Prediction via Knowledge Distillation.Jieming Zhu, Jinyang Liu, Weiqi Li, Jincai Lai, Xiuqiang He, Liang Chen, Zibin Zheng
2020KDDAutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction.Bin Liu, Chenxu Zhu, Guilin Li, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu
2020KDDA Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks.Jianing Sun, Wei Guo, Dengcheng Zhang, Yingxue Zhang, Florence Regol, Yaochen Hu, Huifeng Guo, Ruiming Tang, Han Yuan, Xiuqiang He, Mark Coates
2020MDMAutoConjunction: Adaptive Model-based Feature Conjunction for CTR Prediction.Chih-Yao Chang, Xing Tang, Bo-Wen Yuan, Jui-Yang Hsia, Zhirong Liu, Zhenhua Dong, Xiuqiang He, Chih-Jen Lin
2020RecSysCounterfactual learning for recommender system.Zhenhua Dong, Hong Zhu, Pengxiang Cheng, Xinhua Feng, Guohao Cai, Xiuqiang He, Jun Xu, Jirong Wen
2020WWWDual-attentional Factorization-Machines based Neural Network for User Response Prediction.Feng Liu, Wei Guo, Huifeng Guo, Ruiming Tang, Yunming Ye, Xiuqiang He
2020WWWMetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection.Mi Luo, Fei Chen, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Jiashi Feng, Zhenguo Li
2020SIGIRJIT2R: A Joint Framework for Item Tagging and Tag-based Recommendation.Xu Chen, Changying Du, Xiuqiang He, Jun Wang
2020SIGIRMulti-Branch Convolutional Network for Context-Aware Recommendation.Wei Guo, Can Zhang, Huifeng Guo, Ruiming Tang, Xiuqiang He
2020SIGIRA General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data.Dugang Liu, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming
2020SIGIRAutoGroup: Automatic Feature Grouping for Modelling Explicit High-Order Feature Interactions in CTR Prediction.Bin Liu, Niannan Xue, Huifeng Guo, Ruiming Tang, Stefanos Zafeiriou, Xiuqiang He, Zhenguo Li
2020SIGIRItem Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach.Kelong Mao, Xi Xiao, Jieming Zhu, Biao Lu, Ruiming Tang, Xiuqiang He
2020SIGIRNeighbor Interaction Aware Graph Convolution Networks for Recommendation.Jianing Sun, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Xiuqiang He, Chen Ma, Mark Coates
2020SIGIRInfluence Function for Unbiased Recommendation.Jiangxing Yu, Hong Zhu, Chih-Yao Chang, Xinhua Feng, Bo-Wen Yuan, Xiuqiang He, Zhenhua Dong
2020SIGIRInteractive Recommender System via Knowledge Graph-enhanced Reinforcement Learning.Sijin Zhou, Xinyi Dai, Haokun Chen, Weinan Zhang, Kan Ren, Ruiming Tang, Xiuqiang He, Yong Yu
2020WSDMEnd-to-End Deep Reinforcement Learning based Recommendation with Supervised Embedding.Feng Liu, Huifeng Guo, Xutao Li, Ruiming Tang, Yunming Ye, Xiuqiang He
2020SDMBiGAN: Collaborative Filtering with Bidirectional Generative Adversarial Networks.Rui Ding, Guibing Guo, Xiaochun Yang, Bowei Chen, Zhirong Liu, Xiuqiang He
2019ICDMMulti-graph Convolution Collaborative Filtering.Jianing Sun, Yingxue Zhang, Chen Ma, Mark Coates, Huifeng Guo, Ruiming Tang, Xiuqiang He
2018DASFAANovel Approaches to Accelerating the Convergence Rate of Markov Decision Process for Search Result Diversification.Feng Liu, Ruiming Tang, Xutao Li, Yunming Ye, Huifeng Guo, Xiuqiang He
2018RecSysField-aware probabilistic embedding neural network for CTR prediction.Weiwen Liu, Ruiming Tang, Jiajin Li, Jinkai Yu, Huifeng Guo, Xiuqiang He, Shengyu Zhang
2017DASFAAA Graph-Based Push Service Platform.Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He
2017IJCAIDeepFM: A Factorization-Machine based Neural Network for CTR Prediction.Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He
2017WWWHolistic Neural Network for CTR Prediction.Huifeng Guo, Ruiming Tang, Yunming Ye, Xiuqiang He
2015AAAIPersonalized Tag Recommendation through Nonlinear Tensor Factorization Using Gaussian Kernel.Xiaomin Fang, Rong Pan, Guoxiang Cao, Xiuqiang He, Wenyuan Dai
2015ICDMValuating Queries for Data Trading in Modern Cities.Ruiming Tang, Huayu Wu, Xiuqiang He, Stphane Bressan
2012NetworkingA Panoramic View of 3G Data/Control-Plane Traffic: Mobile Device Perspective.Xiuqiang He, Patrick P. C. Lee, Lujia Pan, Cheng He, John C. S. Lui
2008RTSSEfficient SAT-Based Mapping and Scheduling of Homogeneous Synchronous Dataflow Graphs for Throughput Optimization.Weichen Liu, Mingxuan Yuan, Xiuqiang He, Zonghua Gu, Xue Liu
2008RTASHardware/Software Partitioning and Static Task Scheduling on Runtime Reconfigurable FPGAs using a SMT Solver.Mingxuan Yuan, Xiuqiang He, Zonghua Gu
2007DACOptimization of Static Task and Bus Access Schedules for Time-Triggered Distributed Embedded Systems with Model-Checking.Zonghua Gu, Xiuqiang He, Mingxuan Yuan
2007DATEAn efficient algorithm for online management of 2D area of partially reconfigurable FPGAs.Jin Cui, Qingxu Deng, Xiuqiang He, Zonghua Gu
2007RTSSStatic Scheduling and Software Synthesis for Dataflow Graphs with Symbolic Model-Checking.Zonghua Gu, Mingxuan Yuan, Nan Guan, Mingsong Lv, Xiuqiang He, Qingxu Deng, Ge Yu
2007RTASOptimal Static Task Scheduling on Reconfigurable Hardware Devices Using Model-Checking.Zonghua Gu, Mingxuan Yuan, Xiuqiang He
2005ISPAThe Campus Resource Management Based on Constellation Model in the ChinaGrid.Xiaoshe Dong, Yinfeng Wang, Xiuqiang He, Hua Guo, Fang Zheng, Weiguo Wu