Xiao Zhang

111 papers A* 30A 15B 1Misc 1Journal 55Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
A survey of controllable learning: methods and applications in information retrieval.
Frontiers Comput. Sci.
Chenglei Shen, Xiao Zhang, Teng Shi, Changshuo Zhang, Guofu Xie, Jun Xu, Ming He, Jianping Fan
2026 J jnl
Bringing Model Editing to Generative Recommendation in Cold-Start Scenarios.
CoRR
Chenglei Shen, Teng Shi, Weijie Yu, Xiao Zhang, Jun Xu
2026 A conf
Counteracting the Delayed Conversions in OCPC with Survival Analysis.
WSDM
Leping Zhang, Chenxuan He, Xiao Zhang, Yichao Wang, Tengxiang Zhang, Zhenhua Dong, Jun Xu
2026 J jnl
Enhancing Bandit Algorithms with LLMs for Time-varying User Preferences in Streaming Recommendations.
ACM Trans. Inf. Syst.
Chenglei Shen, Yi Zhan, Weijie Yu, Xiao Zhang, Jun Xu
2026 J jnl
IBCB: Efficient Inverse Batched Contextual Bandit for Behavioral Evolution History.
IEEE Trans. Pattern Anal. Mach. Intell.
Yi Xu, Weiran Shen, Jun Xu, Xiao Zhang, Ji-Rong Wen
2026 A* conf
Room Matters: Dynamic Room-level Collaboration Information Modeling for Live Streaming Recommendation.
WWW
Ke Guo, Changle Qu, Xiao Zhang, Liqin Zhao, Shijun Wang, Yanan Niu, Jun Xu
2025 A* conf
AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization.
AAAI
Xiao Zhang, Sunhao Dai, Jun Xu, Yong Liu, Zhenhua Dong
2025 J jnl
Adapting Constrained Markov Decision Process for OCPC Bidding with Delayed Conversions.
ACM Trans. Inf. Syst.
Leping Zhang, Xiao Zhang, Yichao Wang, Xuan Li, Zhenhua Dong, Jun Xu
2025 J jnl
Balancing Stylization and Truth via Disentangled Representation Steering.
CoRR
Chenglei Shen, Zhongxiang Sun, Teng Shi, Xiao Zhang, Jun Xu
2025 A conf
Benefit from Rich: Tackling Search Interaction Sparsity in Search Enhanced Recommendation.
CIKM
Teng Shi, Weijie Yu, Xiao Zhang, Ming He, Jianping Fan, Jun Xu
2025 J jnl
Benefit from Rich: Tackling Search Interaction Sparsity in Search Enhanced Recommendation.
CoRR
Teng Shi, Weijie Yu, Xiao Zhang, Ming He, Jianping Fan, Jun Xu
2025 J jnl
Bridging Search and Recommendation through Latent Cross Reasoning.
CoRR
Teng Shi, Weicong Qin, Weijie Yu, Xiao Zhang, Ming He, Jianping Fan, Jun Xu
2025 A* conf
Bridging Short Videos and Streamers with Multi-Graph Contrastive Learning for Live Streaming Recommendation.
SIGIR
Changle Qu, Liqin Zhao, Yanan Niu, Xiao Zhang, Jun Xu
2025 A conf
GenSAR: Unifying Balanced Search and Recommendation with Generative Retrieval.
RecSys
Teng Shi, Jun Xu, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Yang Song, Enyun Yu
2025 A* conf
Generalization Analysis for Controllable Learning.
ICML
Yifan Zhang, Xiao Zhang, Min-Ling Zhang
2025 J jnl
KuaiLive: A Real-time Interactive Dataset for Live Streaming Recommendation.
CoRR
Changle Qu, Sunhao Dai, Ke Guo, Liqin Zhao, Yanan Niu, Xiao Zhang, Jun Xu
2025 J jnl
LLaDA-Rec: Discrete Diffusion for Parallel Semantic ID Generation in Generative Recommendation.
CoRR
Teng Shi, Chenglei Shen, Weijie Yu, Shen Nie, Chongxuan Li, Xiao Zhang, Ming He, Yan Han, Jun Xu
2025 J jnl
LTP-MMF: Toward Long-Term Provider Max-Min Fairness under Recommendation Feedback Loops.
ACM Trans. Inf. Syst.
Chen Xu, Xiaopeng Ye, Jun Xu, Xiao Zhang, Weiran Shen, Ji-Rong Wen
2025 A* conf
LargePiG for Hallucination-Free Query Generation: Your Large Language Model is Secretly a Pointer Generator.
WWW
Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu
2025 — conf
Length-Induced Embedding Collapse in PLM-based Models.
ACL (1)
Yuqi Zhou, Sunhao Dai, Zhanshuo Cao, Xiao Zhang, Jun Xu
2025 — conf
MAPS: Motivation-Aware Personalized Search via LLM-Driven Consultation Alignment.
ACL (1)
Weicong Qin, Yi Xu, Weijie Yu, Chenglei Shen, Ming He, Jianping Fan, Xiao Zhang, Jun Xu
2025 J jnl
MAPS: Motivation-Aware Personalized Search via LLM-Driven Consultation Alignment.
CoRR
Weicong Qin, Yi Xu, Weijie Yu, Chenglei Shen, Ming He, Jianping Fan, Xiao Zhang, Jun Xu
2025 A conf
MoRE: A Mixture of Reflectors Framework for Large Language Model-Based Sequential Recommendation.
RecSys
Weicong Qin, Yi Xu, Weijie Yu, Chenglei Shen, Xiao Zhang, Ming He, Jianping Fan, Jun Xu
2025 A conf
Paragon: Parameter Generation for Controllable Multi-Task Recommendation.
RecSys
Chenglei Shen, Jiahao Zhao, Xiao Zhang, Weijie Yu, Ming He, Jianping Fan
2025 A* conf
Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents.
ICLR
Haoyu Wang, Sunhao Dai, Haiyuan Zhao, Liang Pang, Xiao Zhang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen
2025 J jnl
Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents.
CoRR
Haoyu Wang, Sunhao Dai, Haiyuan Zhao, Liang Pang, Xiao Zhang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen
2025 A* conf
ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding.
SIGIR
Zhongxiang Sun, Qipeng Wang, Weijie Yu, Xiaoxue Zang, Kai Zheng, Jun Xu, Xiao Zhang, Yang Song, Han Li
2025 J jnl
ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding.
CoRR
Zhongxiang Sun, Qipeng Wang, Weijie Yu, Xiaoxue Zang, Kai Zheng, Jun Xu, Xiao Zhang, Yang Song, Han Li
2025 A* conf
ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability.
ICLR
Zhongxiang Sun, Xiaoxue Zang, Kai Zheng, Jun Xu, Xiao Zhang, Weijie Yu, Yang Song, Han Li
2025 A* conf
Retrieval Augmented Generation with Collaborative Filtering for Personalized Text Generation.
SIGIR
Teng Shi, Jun Xu, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Yang Song, Han Li
2025 J jnl
Retrieval Augmented Generation with Collaborative Filtering for Personalized Text Generation.
CoRR
Teng Shi, Jun Xu, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Yang Song, Han Li
2025 — conf
Revisiting Clustering of Neural Bandits: Selective Reinitialization for Mitigating Loss of Plasticity.
KDD (2)
Zhiyuan Su, Sunhao Dai, Xiao Zhang
2025 J jnl
Similarity = Value? Consultation Value Assessment and Alignment for Personalized Search.
CoRR
Weicong Qin, Yi Xu, Weijie Yu, Teng Shi, Chenglei Shen, Ming He, Jianping Fan, Xiao Zhang, Jun Xu
2025 A* conf
Similarity = Value? Consultation Value-Assessment and Alignment for Personalized Search.
EMNLP
Weicong Qin, Yi Xu, Weijie Yu, Teng Shi, Chenglei Shen, Ming He, Jianping Fan, Xiao Zhang, Jun Xu
2025 J jnl
Test-Time Alignment for Tracking User Interest Shifts in Sequential Recommendation.
CoRR
Changshuo Zhang, Xiao Zhang, Teng Shi, Jun Xu, Ji-Rong Wen
2025 A conf
Test-Time Alignment with State Space Model for Tracking User Interest Shifts in Sequential Recommendation.
RecSys
Changshuo Zhang, Xiao Zhang, Teng Shi, Jun Xu, Ji-Rong Wen
2025 A* conf
Trigger3: Refining Query Correction via Adaptive Model Selector.
AAAI
Kepu Zhang, Zhongxiang Sun, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Yang Song, Jun Xu
2025 J jnl
Unified Generative Search and Recommendation.
CoRR
Teng Shi, Jun Xu, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Yang Song, Enyun Yu
2024 J jnl
A Survey of Controllable Learning: Methods and Applications in Information Retrieval.
CoRR
Chenglei Shen, Xiao Zhang, Teng Shi, Changshuo Zhang, Guofu Xie, Jun Xu
2024 A conf
Do Not Wait: Learning Re-Ranking Model Without User Feedback At Serving Time in E-Commerce.
RecSys
Yuan Wang, Zhiyu Li, Changshuo Zhang, Sirui Chen, Xiao Zhang, Jun Xu, Quan Lin
2024 J jnl
Do Not Wait: Learning Re-Ranking Model Without User Feedback At Serving Time in E-Commerce.
CoRR
Yuan Wang, Zhiyu Li, Changshuo Zhang, Sirui Chen, Xiao Zhang, Jun Xu, Quan Lin
2024 — conf
Effective In-Context Example Selection through Data Compression.
ACL (Findings)
Zhongxiang Sun, Kepu Zhang, Haoyu Wang, Xiao Zhang, Jun Xu
2024 J jnl
Effective In-Context Example Selection through Data Compression.
CoRR
Zhongxiang Sun, Kepu Zhang, Haoyu Wang, Xiao Zhang, Jun Xu
2024 J jnl
Enhancing Sequential Recommendations through Multi-Perspective Reflections and Iteration.
CoRR
Weicong Qin, Yi Xu, Weijie Yu, Chenglei Shen, Xiao Zhang, Ming He, Jianping Fan, Jun Xu
2024 A* conf
FairSync: Ensuring Amortized Group Exposure in Distributed Recommendation Retrieval.
WWW
Chen Xu, Jun Xu, Yiming Ding, Xiao Zhang, Qi Qi
2024 J jnl
FairSync: Ensuring Amortized Group Exposure in Distributed Recommendation Retrieval.
CoRR
Chen Xu, Jun Xu, Yiming Ding, Xiao Zhang, Qi Qi
2024 J jnl
Generating Model Parameters for Controlling: Parameter Diffusion for Controllable Multi-Task Recommendation.
CoRR
Chenglei Shen, Jiahao Zhao, Xiao Zhang, Weijie Yu, Ming He, Jianping Fan
2024 — conf
Generative Retrieval with Semantic Tree-Structured Identifiers and Contrastive Learning.
SIGIR-AP
Zihua Si, Zhongxiang Sun, JiaLe Chen, Guozhang Chen, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu, Kun Gai
2024 J jnl
IBCB: Efficient Inverse Batched Contextual Bandit for Behavioral Evolution History.
CoRR
Yi Xu, Weiran Shen, Xiao Zhang, Jun Xu
2024 A conf
Large Language Models Enhanced Collaborative Filtering.
CIKM
Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu
2024 J jnl
Large Language Models Enhanced Collaborative Filtering.
CoRR
Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu
2024 J jnl
LargePiG: Your Large Language Model is Secretly a Pointer Generator.
CoRR
Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu
2024 J jnl
Length-Induced Embedding Collapse in Transformer-based Models.
CoRR
Yuqi Zhou, Sunhao Dai, Zhanshuo Cao, Xiao Zhang, Jun Xu
2024 J jnl
Model-Agnostic Causal Embedding Learning for Counterfactually Group-Fair Recommendation.
IEEE Trans. Knowl. Data Eng.
Xiao Zhang, Teng Shi, Jun Xu, Zhenhua Dong, Ji-Rong Wen
2024 J jnl
Modeling Domain and Feedback Transitions for Cross-Domain Sequential Recommendation.
CoRR
Changshuo Zhang, Teng Shi, Xiao Zhang, Qi Liu, Ruobing Xie, Jun Xu, Ji-Rong Wen
2024 A* conf
Modeling User Attention in Music Recommendation.
ICDE
Sunhao Dai, Ninglu Shao, Jieming Zhu, Xiao Zhang, Zhenhua Dong, Jun Xu, Quanyu Dai, Ji-Rong Wen
2024 A* conf
Neural Retrievers are Biased Towards LLM-Generated Content.
KDD
Sunhao Dai, Yuqi Zhou, Liang Pang, Weihao Liu, Xiaolin Hu, Yong Liu, Xiao Zhang, Gang Wang, Jun Xu
2024 J jnl
On the Decision-Making Abilities in Role-Playing using Large Language Models.
CoRR
Chenglei Shen, Guofu Xie, Xiao Zhang, Jun Xu
2024 J jnl
QAGCF: Graph Collaborative Filtering for Q&A Recommendation.
CoRR
Changshuo Zhang, Teng Shi, Xiao Zhang, Yanping Zheng, Ruobing Xie, Qi Liu, Jun Xu, Ji-Rong Wen
2024 A* conf
ReCODE: Modeling Repeat Consumption with Neural ODE.
SIGIR
Sunhao Dai, Changle Qu, Sirui Chen, Xiao Zhang, Jun Xu
2024 J jnl
ReCODE: Modeling Repeat Consumption with Neural ODE.
CoRR
Sunhao Dai, Changle Qu, Sirui Chen, Xiao Zhang, Jun Xu
2024 J jnl
ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability.
CoRR
Zhongxiang Sun, Xiaoxue Zang, Kai Zheng, Yang Song, Jun Xu, Xiao Zhang, Weijie Yu, Han Li
2024 A* conf
Reinforcing Long-Term Performance in Recommender Systems with User-Oriented Exploration Policy.
SIGIR
Changshuo Zhang, Sirui Chen, Xiao Zhang, Sunhao Dai, Weijie Yu, Jun Xu
2024 A conf
SAQRec: Aligning Recommender Systems to User Satisfaction via Questionnaire Feedback.
CIKM
Kepu Zhang, Teng Shi, Sunhao Dai, Xiao Zhang, Yinfeng Li, Jing Lu, Xiaoxue Zang, Yang Song, Jun Xu
2024 Misc conf
Smooth Start: A Unified Approach for Gradual Transition from Cold to Old in Recommender Systems.
ICASSP
Jianwen Yang, Xiao Zhang, Jun Xu
2024 A* conf
To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process.
SIGIR
Zhongxiang Sun, Zihua Si, Xiao Zhang, Xiaoxue Zang, Yang Song, Hongteng Xu, Jun Xu
2024 J jnl
To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process.
CoRR
Zhongxiang Sun, Zihua Si, Xiao Zhang, Xiaoxue Zang, Yang Song, Hongteng Xu, Jun Xu
2024 J jnl
Trigger
CoRR
Kepu Zhang, Zhongxiang Sun, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Yang Song, Jun Xu
2024 J jnl
UOEP: User-Oriented Exploration Policy for Enhancing Long-Term User Experiences in Recommender Systems.
CoRR
Changshuo Zhang, Sirui Chen, Xiao Zhang, Sunhao Dai, Weijie Yu, Jun Xu
2024 A* conf
UniSAR: Modeling User Transition Behaviors between Search and Recommendation.
SIGIR
Teng Shi, Zihua Si, Jun Xu, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Dewei Leng, Yanan Niu, Yang Song
2024 J jnl
UniSAR: Modeling User Transition Behaviors between Search and Recommendation.
CoRR
Teng Shi, Zihua Si, Jun Xu, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Dewei Leng, Yanan Niu, Yang Song
2023 A* conf
Controllable Multi-Objective Re-ranking with Policy Hypernetworks.
KDD
Sirui Chen, Yuan Wang, Zijing Wen, Zhiyu Li, Changshuo Zhang, Xiao Zhang, Quan Lin, Cheng Zhu, Jun Xu
2023 J jnl
Enhancing Recommendation with Search Data in a Causal Learning Manner.
ACM Trans. Inf. Syst.
Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Yang Song, Xiaoxue Zang, Ji-Rong Wen
2023 J jnl
Generative Retrieval with Semantic Tree-Structured Item Identifiers via Contrastive Learning.
CoRR
Zihua Si, Zhongxiang Sun, JiaLe Chen, Guozhang Chen, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu
2023 A conf
HyperBandit: Contextual Bandit with Hypernewtork for Time-Varying User Preferences in Streaming Recommendation.
CIKM
Chenglei Shen, Xiao Zhang, Wei Wei, Jun Xu
2023 J jnl
HyperBandit: Contextual Bandit with Hypernewtork for Time-Varying User Preferences in Streaming Recommendation.
CoRR
Chenglei Shen, Xiao Zhang, Wei Wei, Jun Xu
2023 — conf
Joint Semantic and Strategy Matching for Persuasive Dialogue.
EMNLP (Findings)
Chuhao Jin, Yutao Zhu, Lingzhen Kong, Shijie Li, Xiao Zhang, Ruihua Song, Xu Chen, Huan Chen, Yuchong Sun, Yu Chen, Jun Xu
2023 A conf
KuaiSAR: A Unified Search And Recommendation Dataset.
CIKM
Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Dewei Leng, Yanan Niu, Yang Song, Xiao Zhang, Jun Xu
2023 J jnl
KuaiSAR: A Unified Search And Recommendation Dataset.
CoRR
Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Dewei Leng, Yanan Niu, Yang Song, Xiao Zhang, Jun Xu
2023 J jnl
LLMs may Dominate Information Access: Neural Retrievers are Biased Towards LLM-Generated Texts.
CoRR
Sunhao Dai, Yuqi Zhou, Liang Pang, Weihao Liu, Xiaolin Hu, Yong Liu, Xiao Zhang, Jun Xu
2023 J jnl
LTP-MMF: Towards Long-term Provider Max-min Fairness Under Recommendation Feedback Loops.
CoRR
Chen Xu, Xiaopeng Ye, Jun Xu, Xiao Zhang, Weiran Shen, Ji-Rong Wen
2023 A* conf
Law Article-Enhanced Legal Case Matching: A Causal Learning Approach.
SIGIR
Zhongxiang Sun, Jun Xu, Xiao Zhang, Zhenhua Dong, Ji-Rong Wen
2023 A* conf
P-MMF: Provider Max-min Fairness Re-ranking in Recommender System.
WWW
Chen Xu, Sirui Chen, Jun Xu, Weiran Shen, Xiao Zhang, Gang Wang, Zhenhua Dong
2023 J jnl
P-MMF: Provider Max-min Fairness Re-ranking in Recommender System.
CoRR
Xu Chen, Sirui Chen, Jun Xu, Weiran Shen, Xiao Zhang, Gang Wang, Zhenghua Dong
2023 — conf
Reinforcement Re-ranking with 2D Grid-based Recommendation Panels.
SIGIR-AP
Sirui Chen, Xiao Zhang, Xu Chen, Zhiyu Li, Yuan Wang, Quan Lin, Jun Xu
2023 A* conf
Reward Imputation with Sketching for Contextual Batched Bandits.
NeurIPS
Xiao Zhang, Ninglu Shao, Zihua Si, Jun Xu, Wenhan Wang, Hanjing Su, Ji-Rong Wen
2023 A conf
Separating Examination and Trust Bias from Click Predictions for Unbiased Relevance Ranking.
WSDM
Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen
2023 — conf
Unbiased Top-$k$ Learning to Rank with Causal Likelihood Decomposition.
SIGIR-AP
Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen
2023 A conf
Uncovering ChatGPT's Capabilities in Recommender Systems.
RecSys
Sunhao Dai, Ninglu Shao, Haiyuan Zhao, Weijie Yu, Zihua Si, Chen Xu, Zhongxiang Sun, Xiao Zhang, Jun Xu
2023 J jnl
Uncovering ChatGPT's Capabilities in Recommender Systems.
CoRR
Sunhao Dai, Ninglu Shao, Haiyuan Zhao, Weijie Yu, Zihua Si, Chen Xu, Zhongxiang Sun, Xiao Zhang, Jun Xu
2023 A* conf
When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation.
SIGIR
Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Xiaoxue Zang, Yang Song, Kun Gai, Ji-Rong Wen
2023 J jnl
When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation.
CoRR
Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Xiaoxue Zang, Yang Song, Kun Gai, Ji-Rong Wen
2022 A* conf
A Model-Agnostic Causal Learning Framework for Recommendation using Search Data.
WWW
Zihua Si, Xueran Han, Xiao Zhang, Jun Xu, Yue Yin, Yang Song, Ji-Rong Wen
2022 J jnl
A Model-Agnostic Causal Learning Framework for Recommendation using Search Data.
CoRR
Zihua Si, Xueran Han, Xiao Zhang, Jun Xu, Yue Yin, Yang Song, Ji-Rong Wen
2022 A* conf
Counteracting User Attention Bias in Music Streaming Recommendation via Reward Modification.
KDD
Xiao Zhang, Sunhao Dai, Jun Xu, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen
2022 J jnl
Law Article-Enhanced Legal Case Matching: a Model-Agnostic Causal Learning Approach.
CoRR
Zhongxiang Sun, Jun Xu, Xiao Zhang, Zhenhua Dong, Ji-Rong Wen
2022 J jnl
Partial Information as Full: Reward Imputation with Sketching in Bandits.
CoRR
Xiao Zhang, Ninglu Shao, Zihua Si, Jun Xu, Wenhan Wang, Hanjing Su, Ji-Rong Wen
2022 J jnl
Reinforcement Re-ranking with 2D Grid-based Recommendation Panels.
CoRR
Sirui Chen, Xiao Zhang, Xu Chen, Zhiyu Li, Yuan Wang, Quan Lin, Jun Xu
2022 J jnl
Unbiased Top-k Learning to Rank with Causal Likelihood Decomposition.
CoRR
Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen
2022 — conf
Variance Reduction for Deep Q-Learning Using Stochastic Recursive Gradient.
ICONIP (4)
Haonan Jia, Xiao Zhang, Jun Xu, Wei Zeng, Hao Jiang, Xiaohui Yan
2021 A* conf
Counterfactual Reward Modification for Streaming Recommendation with Delayed Feedback.
SIGIR
Xiao Zhang, Haonan Jia, Hanjing Su, Wenhan Wang, Jun Xu, Ji-Rong Wen
2021 A* conf
Regret Bounds for Online Kernel Selection in Continuous Kernel Space.
AAAI
Xiao Zhang, Shizhong Liao, Jun Xu, Ji-Rong Wen
2020 A* conf
Hypothesis Sketching for Online Kernel Selection in Continuous Kernel Space.
IJCAI
Xiao Zhang, Shizhong Liao
2020 J jnl
Variance Reduction for Deep Q-Learning using Stochastic Recursive Gradient.
CoRR
Haonan Jia, Xiao Zhang, Jun Xu, Wei Zeng, Hao Jiang, Xiaohui Yan, Ji-Rong Wen
2019 J jnl
A survey on online kernel selection for online kernel learning.
WIREs Data Mining Knowl. Discov.
Xiao Zhang, Yun Liao, Shizhong Liao
2019 A* conf
Incremental Randomized Sketching for Online Kernel Learning.
ICML
Xiao Zhang, Shizhong Liao
2019 A conf
New Online Kernel Ridge Regression via Incremental Predictive Sampling.
CIKM
Shan Xu, Xiao Zhang, Shizhong Liao
2019 A conf
Online Kernel Selection via Tensor Sketching.
CIKM
Shizhong Liao, Xiao Zhang
2018 B conf
A Linear Incremental Nyström Method for Online Kernel Learning.
ICPR
Shan Xu, Xiao Zhang, Shizhong Liao
2018 A* conf
Online Kernel Selection via Incremental Sketched Kernel Alignment.
IJCAI
Xiao Zhang, Shizhong Liao
2016 J jnl
Tensor completion via multi-shared-modes canonical correlation analysis.
Neurocomputing
Xiao Zhang, Shizhong Liao