Jun Zhou

2026

doi dblp

Corrigendum: One Model for All: Large Language Models Are Domain-Agnostic Recommendation Systems.

Zuoli Tang|Zhaoxin Huan|Zihao Li|Xiaolu Zhang|Jun Hu|Chilin Fu|Jun Zhou|Lixin Zou|Chenliang Li

ACM Transactions on Information Systems (TOIS) 2026 Volume 44 Issue 4

doi dblp

LookAhead Tuning: Safer Language Models via Partial Answer Previews.

Kangwei Liu|Mengru Wang|Yujie Luo|Lin Yuan|Mengshu Sun|Lei Liang|Zhiqiang Zhang|Jun Zhou|Bryan Hooi|Shumin Deng

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026

doi dblp

Token-level Collaborative Alignment for LLM-based Generative Recommendation.

Fake Lin|Binbin Hu|Zhi Zheng|Xi Zhu|Ziqi Liu|Zhiqiang Zhang|Jun Zhou|Tong Xu

Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026.

doi dblp

From Entity Reliability to Clean Feedback: An Entity-Aware Denoising Framework Beyond Interaction-Level Signals.

Ze Liu|Xianquan Wang|Shuochen Liu|Jie Ma|Huibo Xu|Yupeng Han|Kai Zhang|Jun Zhou

Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026.

doi dblp

Taming the Long Tail: Efficient Item-wise Sharpness-Aware Minimization for LLM-based Recommender Systems.

Jiaming Zhang|Yuyuan Li|Xiaohua Feng|Li Zhang|Longfei Li|Jun Zhou|Chaochao Chen

Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026.

2025

doi dblp

HORAE: Temporal Multi-Interest Pre-training for Sequential Recommendation.

Shirui Hu|Weichang Wu|Zuoli Tang|Zhaoxin Huan|Lin Wang|Xiaolu Zhang|Jun Zhou|Lixin Zou|Chenliang Li

ACM Transactions on Information Systems (TOIS) 2025 Volume 43 Issue 4

doi dblp

One Model for All: Large Language Models Are Domain-Agnostic Recommendation Systems.

Zuoli Tang|Zhaoxin Huan|Zihao Li|Xiaolu Zhang|Jun Hu|Chilin Fu|Jun Zhou|Lixin Zou|Chenliang Li

ACM Transactions on Information Systems (TOIS) 2025 Volume 43 Issue 5

doi dblp

Retrieval augmentation for text-to-table generation.

Jiahua Zhang|Meijuan Tan|Jing Zhang|Xiaolu Zhang|Jun Zhou|Chenliang Li

Information Processing and Management 2025 Volume 62 Issue 5

doi dblp

Arrows of Math Reasoning Data Synthesis for Large Language Models: Diversity, Complexity and Correctness.

Sirui Chen|Changxin Tian|Binbin Hu|Kunlong Chen|Ziqi Liu|Zhiqiang Zhang|Jun Zhou

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025

doi dblp

Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data.

Binbin Hu|Zhicheng An|Zhengwei Wu|Ke Tu|Ziqi Liu|Zhiqiang Zhang|Jun Zhou|Yufei Feng|Jiawei Chen

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025

doi dblp

IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification.

Zhixun Li|Dingshuo Chen|Tong Zhao|Daixin Wang|Hongrui Liu|Zhiqiang Zhang|Jun Zhou|Jeffrey Xu Yu

Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025

doi dblp

KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation.

Lei Liang|Zhongpu Bo|Zhengke Gui|Zhongshu Zhu|Ling Zhong|Peilong Zhao|Mengshu Sun|Zhiqiang Zhang|Jun Zhou|Wenguang Chen|Wen Zhang|Huajun Chen

Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025

doi dblp

SurvFormer: A Transformer Based Framework for Survival Analysis in Insurance Underwriting.

Yingxue Li|Xiaolu Zhang|Jun Hu|Wenwen Xia|Ziyi Liu|Xiaobo Qin|Binjie Fei|Jun Zhou

Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025

doi dblp

OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System.

Yujie Luo|Xiangyuan Ru|Kangwei Liu|Lin Yuan|Mengshu Sun|Ningyu Zhang|Lei Liang|Zhiqiang Zhang|Jun Zhou|Lanning Wei|Da Zheng|Haofen Wang|Huajun Chen

Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025

doi dblp

MAQInstruct: Instruction-based Unified Event Relation Extraction.

Jun Xu|Mengshu Sun|Zhiqiang Zhang|Jun Zhou

Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025

2024

doi dblp

Multiscale Representation Enhanced Temporal Flow Fusion Model for Long-Term Workload Forecasting.

Shiyu Wang|Zhixuan Chu|Yinbo Sun|Yu Liu|Yuliang Guo|Yang Chen|Huiyang Jian|Lintao Ma|Xingyu Lu|Jun Zhou

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024

doi dblp

Factor Model-Based Large Covariance Estimation from Streaming Data Using a Knowledge-Based Sketch Matrix.

Xiao Tan|Zhaoyang Wang|Hao Qian|Jun Zhou|Peibo Duan|Dian Shen|Meng Wang|Beilun Wang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024

doi dblp

TEXT CAN BE FAIR: Mitigating Popularity Bias with PLMs by Learning Relative Preference.

Zuoli Tang|Zhaoxin Huan|Zihao Li|Shirui Hu|Xiaolu Zhang|Jun Zhou|Lixin Zou|Chenliang Li

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024

doi dblp

Multi-view Temporal Knowledge Graph Reasoning.

Fuwei Zhang|Zhao Zhang|Fuzhen Zhuang|Zhiqiang Zhang|Jun Zhou|Deqing Wang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024

doi dblp

Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors.

Binzong Geng|Zhaoxin Huan|Xiaolu Zhang|Yong He|Liang Zhang|Fajie Yuan|Jun Zhou|Linjian Mo

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024

doi dblp

Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset.

Zhaoxin Huan|Ke Ding|Ang Li|Xiaolu Zhang|Xu Min|Yong He|Liang Zhang|Jun Zhou|Linjian Mo|Jinjie Gu|Zhongyi Liu|Wenliang Zhong|Guannan Zhang|Chenliang Li|Fajie Yuan

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024

doi dblp

GATS: Generative Audience Targeting System for Online Advertising.

Cong Jiang|Zhongde Chen|Bo Zhang|Yankun Ren|Xin Dong|Lei Cheng|Xinxing Yang|Longfei Li|Jun Zhou|Linjian Mo

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024

doi dblp

Enhancing Sequential Recommenders with Augmented Knowledge from Aligned Large Language Models.

Yankun Ren|Zhongde Chen|Xinxing Yang|Longfei Li|Cong Jiang|Lei Cheng|Bo Zhang|Linjian Mo|Jun Zhou

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024

doi dblp

Domain Level Interpretability: Interpreting Black-box Model with Domain-specific Embedding.

Ya-Lin Zhang|Caizhi Tang|Lu Yu|Jun Zhou|Longfei Li|Qing Cui|Fangfang Fan|Linbo Jiang|Xiaosong Zhao

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024

doi dblp

PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation.

Chunjing Gan|Bo Huang|Binbin Hu|Jian Ma|Zhiqiang Zhang|Jun Zhou|Guannan Zhang|Wenliang Zhong

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024

doi dblp

Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction.

Yakun Wang|Binbin Hu|Shuo Yang|Meiqi Zhu|Zhiqiang Zhang|Qiyang Zhang|Jun Zhou|Guo Ye|Huimei He

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024

doi dblp

Invariant Graph Learning for Causal Effect Estimation.

Yongduo Sui|Caizhi Tang|Zhixuan Chu|Junfeng Fang|Yuan Gao|Qing Cui|Longfei Li|Jun Zhou|Xiang Wang

Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024

doi dblp

Can Small Language Models be Good Reasoners for Sequential Recommendation?

Yuling Wang|Changxin Tian|Binbin Hu|Yanhua Yu|Ziqi Liu|Zhiqiang Zhang|Jun Zhou|Liang Pang|Xiao Wang

Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024

doi dblp

Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation.

Shaowei Wei|Zhengwei Wu|Xin Li|Qintong Wu|Zhiqiang Zhang|Jun Zhou|Lihong Gu|Jinjie Gu

Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024

doi dblp

Calibrating Graph Neural Networks from a Data-centric Perspective.

Cheng Yang|Chengdong Yang|Chuan Shi|Yawen Li|Zhiqiang Zhang|Jun Zhou

Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024

doi dblp

Counterfactual Data Augmentation for Debiased Coupon Recommendations Based on Potential Knowledge.

Junpeng Fang|Gongduo Zhang|Qing Cui|Lihong Gu|Longfei Li|Jinjie Gu|Jun Zhou

Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024

doi dblp

Enhancing Sequential Recommendation via LLM-based Semantic Embedding Learning.

Jun Hu|Wenwen Xia|Xiaolu Zhang|Chilin Fu|Weichang Wu|Zhaoxin Huan|Ang Li|Zuoli Tang|Jun Zhou

Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024

doi dblp

Aligned Side Information Fusion Method for Sequential Recommendation.

Shuhan Wang|Bin Shen|Xu Min|Yong He|Xiaolu Zhang|Liang Zhang|Jun Zhou|Linjian Mo

Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024

2023

doi dblp

FINRule: Feature Interactive Neural Rule Learning.

Lu Yu|Meng Li|Ya-Lin Zhang|Longfei Li|Jun Zhou

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023

doi dblp

Robust User Behavioral Sequence Representation via Multi-scale Stochastic Distribution Prediction.

Chilin Fu|Weichang Wu|Xiaolu Zhang|Jun Hu|Jing Wang|Jun Zhou

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023

doi dblp

Continual Learning in Predictive Autoscaling.

Hongyan Hao|Zhixuan Chu|Shiyi Zhu|Gangwei Jiang|Yan Wang|Caigao Jiang|James Y. Zhang|Wei Jiang|Siqiao Xue|Jun Zhou

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023

doi dblp

Treatment Effect Estimation across Domains.

Yi-Xuan Sun|Ya-Lin Zhang|Wei Wang|Longfei Li|Jun Zhou

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023

doi dblp

Periodicity May Be Emanative: Hierarchical Contrastive Learning for Sequential Recommendation.

Changxin Tian|Binbin Hu|Wayne Xin Zhao|Zhiqiang Zhang|Jun Zhou

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023

doi dblp

Disentangled Interest importance aware Knowledge Graph Neural Network for Fund Recommendation.

Ke Tu|Wei Qu|Zhengwei Wu|Zhiqiang Zhang|Zhongyi Liu|Yiming Zhao|Le Wu|Jun Zhou|Guannan Zhang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023

doi dblp

G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems.

Youshao Xiao|Shangchun Zhao|Zhenglei Zhou|Zhaoxin Huan|Lin Ju|Xiaolu Zhang|Lin Wang|Jun Zhou

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023

doi dblp

Alleviating Matching Bias in Marketing Recommendations.

Junpeng Fang|Qing Cui|Gongduo Zhang|Caizhi Tang|Lihong Gu|Longfei Li|Jinjie Gu|Jun Zhou|Fei Wu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023

doi dblp

Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework.

Chunjing Gan|Binbin Hu|Bo Huang|Tianyu Zhao|Yingru Lin|Wenliang Zhong|Zhiqiang Zhang|Jun Zhou|Chuan Shi

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023

doi dblp

A Practical Online Allocation Framework at Industry-scale in Constrained Recommendation.

Daohong Jian|Yang Bao|Jun Zhou|Hua Wu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023

doi dblp

Uncertainty-based Heterogeneous Privileged Knowledge Distillation for Recommendation System.

Ang Li|Jian Hu|Ke Ding|Xiaolu Zhang|Jun Zhou|Yong He|Xu Min

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023

doi dblp

TAML: Time-Aware Meta Learning for Cold-Start Problem in News Recommendation.

Jingyuan Li|Yue Zhang|Xuan Lin|Xinxing Yang|Ge Zhou|Longfei Li|Hong Chen|Jun Zhou

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023

doi dblp

GreenSeq: Automatic Design of Green Networks for Sequential Recommendation Systems.

Yankun Ren|Xinxing Yang|Xingyu Lu|Longfei Li|Jun Zhou|Jinjie Gu|Guannan Zhang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023

doi dblp

Towards Multi-Interest Pre-training with Sparse Capsule Network.

Zuoli Tang|Lin Wang|Lixin Zou|Xiaolu Zhang|Jun Zhou|Chenliang Li

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023

doi dblp

COUPA: An Industrial Recommender System for Online to Offline Service Platforms.

Sicong Xie|Binbin Hu|Fengze Li|Ziqi Liu|Zhiqiang Zhang|Wenliang Zhong|Jun Zhou

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023

doi dblp

Generative-Contrastive Graph Learning for Recommendation.

Yonghui Yang|Zhengwei Wu|Le Wu|Kun Zhang|Richang Hong|Zhiqiang Zhang|Jun Zhou|Meng Wang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023

doi dblp

MDI: A Debiasing Method Combining Unbiased and Biased Data.

Han Zhao|Qing Cui|Xinyu Li|Rongzhou Bao|Longfei Li|Jun Zhou|Zhehao Liu|Jinghua Feng

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023

doi dblp

DistriBayes: A Distributed Platform for Learning, Inference and Attribution on Large Scale Bayesian Network.

Yi Ding|Jun Zhou|Qing Cui|Lin Wang|Mengqi Zhang|Yang Dong

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023.

doi dblp

AntTS: A Toolkit for Time Series Forecasting in Industrial Scenarios.

Jianping Wei|Zhibo Zhu|Ziqi Liu|Zhiqiang Zhang|Jun Zhou

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023.

doi dblp

A Framework for Detecting Frauds from Extremely Few Labels.

Ya-Lin Zhang|Yi-Xuan Sun|Fangfang Fan|Meng Li|Yeyu Zhao|Wei Wang|Longfei Li|Jun Zhou|Jinghua Feng

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023.

doi dblp

ElasticDL: A Kubernetes-native Deep Learning Framework with Fault-tolerance and Elastic Scheduling.

Jun Zhou|Ke Zhang|Feng Zhu|Qitao Shi|Wenjing Fang|Lin Wang|Yi Wang

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023.

doi dblp

Improving Recommendation Fairness via Data Augmentation.

Lei Chen|Le Wu|Kun Zhang|Richang Hong|Defu Lian|Zhiqiang Zhang|Jun Zhou|Meng Wang

Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023

doi dblp

Online resource allocation in Markov Chains.

Jianhao Jia|Hao Li|Kai Liu|Ziqi Liu|Jun Zhou|Nikolai Gravin|Zhihao Gavin Tang

Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023

doi dblp

Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling.

Dingyuan Zhu|Daixin Wang|Zhiqiang Zhang|Kun Kuang|Yan Zhang|Yulin Kang|Jun Zhou

Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023

doi dblp

Multi-Source Domain Adaptation via Latent Domain Reconstruction.

Jun Zhou|Chilin Fu|Xiaolu Zhang

Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023

doi dblp

A Practical Rule Learning Framework for Risk Management.

Jun Zhou|Meng Li|Lu Yu|Longfei Li|Fei Wu

Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023

doi dblp

DGBCT: A Scalable Distributed Gradient Boosting Causal Tree at Alipay.

Jun Zhou|Caizhi Tang|Qing Cui|Yi Ding|Longfei Li|Fei Wu

Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023

2022

doi dblp

Toward Scalable and Privacy-preserving Deep Neural Network via Algorithmic-Cryptographic Co-design.

Jun Zhou|Longfei Zheng|Chaochao Chen|Yan Wang|Xiaolin Zheng|Bingzhe Wu|Cen Chen|Li Wang|Jianwei Yin

ACM Transactions on Intelligent Systems and Technology (TIST) 2022 Volume 13 Issue 4

doi dblp

A Biased Sampling Method for Imbalanced Personalized Ranking.

Lu Yu|Shichao Pei|Feng Zhu|Longfei Li|Jun Zhou|Chuxu Zhang|Xiangliang Zhang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

doi dblp

Semi-Supervised Learning with Data Augmentation for Tabular Data.

Jun-Peng Fang|Caizhi Tang|Qing Cui|Feng Zhu|Longfei Li|Jun Zhou|Wei Zhu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

doi dblp

GraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search.

Xinshun Feng|Herun Wan|Shangbin Feng|Hongrui Wang|Qinghua Zheng|Jun Zhou|Minnan Luo

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

doi dblp

A Real-time Post-processing System for Itinerary Recommendation.

Linge Jiang|Guiyang Wang|Zhibo Zhu|Binghao Wang|Runsheng Gan|Ziqi Liu|Jun Zhou

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

doi dblp

An Adaptive Framework for Confidence-constraint Rule Set Learning Algorithm in Large Dataset.

Meng Li|Lu Yu|Ya-Lin Zhang|Xiaoguang Huang|Qitao Shi|Qing Cui|Xinxing Yang|Longfei Li|Wei Zhu|Yanming Fang|Jun Zhou

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

doi dblp

FwSeqBlock: A Field-wise Approach for Modeling Behavior Representation in Sequential Recommendation.

Hao Qian|Qintong Wu|Minghao Li|Zhengwei Wu|Zhiqiang Zhang|Jun Zhou|Lihong Gu|Jinjie Gu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

doi dblp

Task Similarity Aware Meta Learning for Cold-Start Recommendation.

Jieyu Yang|Zhaoxin Huan|Yong He|Ke Ding|Liang Zhang|Xiaolu Zhang|Jun Zhou|Linjian Mo

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

doi dblp

MetaRule: A Meta-path Guided Ensemble Rule Set Learning for Explainable Fraud Detection.

Lu Yu|Meng Li|Xiaoguang Huang|Wei Zhu|Yanming Fang|Jun Zhou|Longfei Li

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

doi dblp

A Practical Distributed ADMM Solver for Billion-Scale Generalized Assignment Problems.

Jun Zhou|Feng Qi|Zhigang Hua|Daohong Jian|Ziqi Liu|Hua Wu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

doi dblp

An Industrial Framework for Cold-Start Recommendation in Zero-Shot Scenarios.

Zhaoxin Huan|Gongduo Zhang|Xiaolu Zhang|Jun Zhou|Qintong Wu|Lihong Gu|Jinjie Gu|Yong He|Yue Zhu|Linjian Mo

SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022

doi dblp

MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data.

Yanchao Tan|Carl Yang|Xiangyu Wei|Chaochao Chen|Weiming Liu|Longfei Li|Jun Zhou|Xiaolin Zheng

SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022

doi dblp

Scope-aware Re-ranking with Gated Attention in Feed.

Hao Qian|Qintong Wu|Kai Zhang|Zhiqiang Zhang|Lihong Gu|Xiaodong Zeng|Jun Zhou|Jinjie Gu

WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022

doi dblp

Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift.

Hongrui Liu|Binbin Hu|Xiao Wang|Chuan Shi|Zhiqiang Zhang|Jun Zhou

WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022

doi dblp

A Multi-Task Learning Approach for Delayed Feedback Modeling.

Zhigang Huangfu|Gongduo Zhang|Zhengwei Wu|Qintong Wu|Zhiqiang Zhang|Lihong Gu|Jun Zhou|Jinjie Gu

Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25 - 29, 2022

2021

doi dblp

Large-scale Secure XGB for Vertical Federated Learning.

Wenjing Fang|Derun Zhao|Jin Tan|Chaochao Chen|Chaofan Yu|Li Wang|Lei Wang|Jun Zhou|Benyu Zhang

CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

doi dblp

Learning Representations of Inactive Users: A Cross Domain Approach with Graph Neural Networks.

Ziqi Liu|Yue Shen|Xiaocheng Cheng|Qiang Li|Jianping Wei|Zhiqiang Zhang|Dong Wang|Xiaodong Zeng|Jinjie Gu|Jun Zhou

CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

doi dblp

Conditional Graph Attention Networks for Distilling and Refining Knowledge Graphs in Recommendation.

Ke Tu|Peng Cui|Daixin Wang|Zhiqiang Zhang|Jun Zhou|Yuan Qi|Wenwu Zhu

CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

doi dblp

Low-dimensional Alignment for Cross-Domain Recommendation.

Tianxin Wang|Fuzhen Zhuang|Zhiqiang Zhang|Daixin Wang|Jun Zhou|Qing He

CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

doi dblp

Counterfactual Review-based Recommendation.

Kun Xiong|Wenwen Ye|Xu Chen|Yongfeng Zhang|Wayne Xin Zhao|Binbin Hu|Zhiqiang Zhang|Jun Zhou

CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

doi dblp

SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation.

Kai Zhang|Hao Qian|Qi Liu|Zhiqiang Zhang|Jun Zhou|Jianhui Ma|Enhong Chen

CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

doi dblp

AntOpt: A Multi-functional Large-scale Decision Optimization Platform.

Jun Zhou|Yang Bao|Hua Wu|Zhigang Hua

CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

doi dblp

Learning to Select Instance: Simultaneous Transfer Learning and Clustering.

Zhaoxin Huan|Yulong Wang|Yong He|Xiaolu Zhang|Chilin Fu|Weichang Wu|Jun Zhou|Ke Ding|Liang Zhang|Linjian Mo

SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021

doi dblp

Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction.

Kai Zhang|Hao Qian|Qing Cui|Qi Liu|Longfei Li|Jun Zhou|Jianhui Ma|Enhong Chen

WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021

2020

doi dblp

Practical Privacy Preserving POI Recommendation.

Chaochao Chen|Jun Zhou|Bingzhe Wu|Wenjing Fang|Li Wang|Yuan Qi|Xiaolin Zheng

ACM Transactions on Intelligent Systems and Technology (TIST) 2020 Volume 11 Issue 5

doi dblp

Nebula: A Scalable Privacy-Preserving Machine Learning System in Ant Financial.

Cen Chen|Bingzhe Wu|Li Wang|Chaochao Chen|Jin Tan|Lei Wang|Jun Zhou|Benyu Zhang

CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020

doi dblp

Loan Default Analysis with Multiplex Graph Learning.

Binbin Hu|Zhiqiang Zhang|Jun Zhou|Jingli Fang|Quanhui Jia|Yanming Fang|Quan Yu|Yuan Qi

CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020

doi dblp

aDMSCN: A Novel Perspective for User Intent Prediction in Customer Service Bots.

Kuan Xu|Chilin Fu|Xiaolu Zhang|Cen Chen|Ya-Lin Zhang|Wenge Rong|Zujie Wen|Jun Zhou|Xiaolong Li|Yu Qiao

CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020

doi dblp

EasyGML: A Fully-functional and Easy-to-use Platform for Industrial Graph Machine Learning.

Zhiqiang Zhang|Jun Zhou|Chuan Shi

CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020

doi dblp

Automatic Knowledge Fusion in Transferrable Networks for Semantic Text Matching.

Cen Chen|Ya-Lin Zhang|Minghui Qiu|Bingzhe Wu|Li Wang|Longfei Li|Jun Zhou

Companion of The 2020 Web Conference 2020, Taipei, Taiwan, April 20-24, 2020

doi dblp

Neural Zero-Shot Fine-Grained Entity Typing.

Yankun Ren|Jianbin Lin|Jun Zhou

Companion of The 2020 Web Conference 2020, Taipei, Taiwan, April 20-24, 2020

2019

doi dblp

Distributed Deep Forest and its Application to Automatic Detection of Cash-Out Fraud.

Ya-Lin Zhang|Jun Zhou|Wenhao Zheng|Ji Feng|Longfei Li|Ziqi Liu|Ming Li|Zhiqiang Zhang|Chaochao Chen|Xiaolong Li|Yuan (Alan) Qi|Zhi-Hua Zhou

ACM Transactions on Intelligent Systems and Technology (TIST) 2019 Volume 10 Issue 5

doi dblp

Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing.

Ziqi Liu|Dong Wang|Qianyu Yu|Zhiqiang Zhang|Yue Shen|Jian Ma|Wenliang Zhong|Jinjie Gu|Jun Zhou|Shuang Yang|Yuan Qi

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019.

doi dblp

Reinforcement Learning for User Intent Prediction in Customer Service Bots.

Cen Chen|Chilin Fu|Xu Hu|Xiaolu Zhang|Jun Zhou|Xiaolong Li|Forrest Sheng Bao

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019.

doi dblp

Uncovering Insurance Fraud Conspiracy with Network Learning.

Chen Liang|Ziqi Liu|Bin Liu|Jun Zhou|Xiaolong Li|Shuang Yang|Yuan Qi

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019.

doi dblp

Multi-Domain Gated CNN for Review Helpfulness Prediction.

Cen Chen|Minghui Qiu|Yinfei Yang|Jun Zhou|Jun Huang|Xiaolong Li|Forrest Sheng Bao

The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019

2018

doi dblp

Heterogeneous Graph Neural Networks for Malicious Account Detection.

Ziqi Liu|Chaochao Chen|Xinxing Yang|Jun Zhou|Xiaolong Li|Le Song

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018

doi dblp

Anomaly Detection with Partially Observed Anomalies.

Ya-Lin Zhang|Longfei Li|Jun Zhou|Xiaolong Li|Zhi-Hua Zhou

Companion Proceedings of the The Web Conference 2018, WWW 2018, Lyon , France, April 23-27, 2018

2017

doi dblp

Locally Connected Deep Learning Framework for Industrial-scale Recommender Systems.

Cen Chen|Peilin Zhao|Longfei Li|Jun Zhou|Xiaolong Li|Minghui Qiu

Proceedings of the 26th International Conference on World Wide Web Companion, Perth, Australia, April 3-7, 2017

doi dblp

PSMART: Parameter Server based Multiple Additive Regression Trees System.

Jun Zhou|Qing Cui|Xiaolong Li|Peilin Zhao|Shenquan Qu|Jun Huang

Proceedings of the 26th International Conference on World Wide Web Companion, Perth, Australia, April 3-7, 2017