Xing Tang - RankMe

83 papers A* 20A 9B 1C 1Journal 43Unranked 9

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`	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	J	`jnl`	Embedding Compression in Recommender Systems: A Survey. CoRR Shiwei Li, Huifeng Guo, Xing Tang, Ruiming Tang, Lu Hou, Ruixuan Li, Rui Zhang
2024	J	`jnl`	Embedding Compression in Recommender Systems: A Survey. ACM Comput. Surv. Shiwei Li, Huifeng Guo, Xing Tang, Ruiming Tang, Lu Hou, Ruixuan Li, Rui Zhang
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	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`	RecDCL: Dual Contrastive Learning for Recommendation. WWW Dan Zhang, Yangliao Geng, Wenwen Gong, Zhongang Qi, Zhiyu Chen, Xing Tang, Ying Shan, Yuxiao Dong, Jie Tang
2024	J	`jnl`	RecDCL: Dual Contrastive Learning for Recommendation. CoRR Dan Zhang, Yangliao Geng, Wenwen Gong, Zhongang Qi, Zhiyu Chen, Xing Tang, Ying Shan, Yuxiao Dong, Jie Tang
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	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	A*	`conf`	Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction. AAAI Shiwei Li, Huifeng Guo, Lu Hou, Wei Zhang, Xing Tang, Ruiming Tang, Rui Zhang, Ruixuan Li
2023	A	`conf`	AutoOpt: Automatic Hyperparameter Scheduling and Optimization for Deep Click-through Rate Prediction. RecSys Yujun Li, Xing Tang, Bo Chen, Yimin Huang, Ruiming Tang, Zhenguo Li
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	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	—	`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	J	`jnl`	Robust Long-Tailed Learning via Label-Aware Bounded CVaR. CoRR Hong Zhu, Runpeng Yu, Xing Tang, Yifei Wang, Yuan Fang, Yisen Wang
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	J	`jnl`	Towards Automated Negative Sampling in Implicit Recommendation. CoRR Fuyuan Lyu, Yaochen Hu, Xing Tang, Yingxue Zhang, Ruiming Tang, Xue Liu
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	J	`jnl`	Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction. CoRR Shiwei Li, Huifeng Guo, Lu Hou, Wei Zhang, Xing Tang, Ruiming Tang, Rui Zhang, Ruixuan Li
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	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	A	`conf`	OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction. CIKM Fuyuan Lyu, Xing Tang, Hong Zhu, Huifeng Guo, Yingxue Zhang, Ruiming Tang, Xue Liu
2022	J	`jnl`	OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction. CoRR Fuyuan Lyu, Xing Tang, Hong Zhu, Huifeng Guo, Yingxue Zhang, Ruiming Tang, Xue Liu
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	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
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
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
2015	—	`conf`	Information Propagation with Retweet Probability on Online Social Network. ICYCSEE Xing Tang, Yi-Ning Quan, Qiguang Miao, Ruihong Hou, Kai Deng
2015	J	`jnl`	Predicting individual retweet behavior by user similarity: A multi-task learning approach. Knowl. Based Syst. Xing Tang, Qiguang Miao, Yi-Ning Quan, Jie Tang, Kai Deng
2014	—	`conf`	A Novel Email Virus Propagation Model with Local Group. UIC/ATC/ScalCom Qiguang Miao, Xing Tang, Yi-Ning Quan
2014	J	`jnl`	A denoising algorithm via wiener filtering in the shearlet domain. Multim. Tools Appl. Pengfei Xu, Qiguang Miao, Xing Tang, Junying Zhang
2014	C	`conf`	Detecting Circles on Ego Network Based on Structure. CIS Qiguang Miao, Xing Tang, Yi-Ning Quan, Kai Deng