Xiuqiang He（何秀强） is now a Distinguished Professor at the College of Artificial Intelligence, Dean of the Institute of Artificial Intelligence Technology, Shenzhen Technology University (SZTU). He serves as a member of the Professional Committee on Information Retrieval of the Chinese Information Processing Society of China (CIPS), and was named among the World’s Top 2% Scientists (2025) released by Stanford University. His research interests include recommendation systems, information retrieval, online marketing and advertisement, AI for science, and the application of artificial intelligence in real-world scenarios. Prior to his appointment at SZTU, he served as a Senior Director at FiT, Tencent from 2022 to 2024. Before that, he was the Director of the Recommendation and Search Lab at Huawei Noah’s Ark Laboratory. He earned his Ph.D. from the Department of Computer science and Engineering at the Hong Kong University of Science and Technology (HKUST) in 2010. He obtained his Master’s degree in 2006 and Bachelor’s degree in 2003, both from Xi’an JiaoTong University (XJTU). He has published over 130 research papers in top-tier international conferences and journals, and his publications have amassed over 13,000 citations on Google Scholar. He is among the authors of DeepFM, which is one of the most widely used click-through rate prediction algorithms in industry. He was honored with the Best Paper Award at DLP-KDD 2021. Additionally, he holds over 60 families of domestic or international patents.

📣 My group is looking for assistant professors, research assistants and visiting students. If you are interested in joining us and exploring exciting research opportunities, please don’t hesitate to reach out to me via email.

News

2026.07 : One paper is accepted by MM 2026.
2026.07 : One paper is accepted by RecSys 2026.
2026.07 : I will serve on the program committee of SIGIR-AP 2026 as a senior PC member.
2026.06 : I have been appointed Deputy Chair of the Fourth Professors Committee of Shenzhen Technology University.
2026.05 : Two papers are accepted by KDD Ads 2026.
2026.05 : One paper is accepted by ICML 2026.
2026.04 : One paper is accepted by ACL 2026.
2026.04 : Three papers are accepted by SIGIR 2026.
2026.02 : I will serve on the program committee of MM 2026 as an Area Chair.
2026.01 : One paper is accepted by ICLR 2026.
2026.01 : One paper is accepted by WWW 2026 industry track.
2025.12 : I have been appointed Dean of the Institute of Artificial Intelligence Technology, Shenzhen Technology University.
2025.12 : I will serve on the program committee of SIGIR 2026 as an Area Chair.
2025.10 : One paper is accepted by WSDM 2026.
2025.10 : I will serve on the program committee of WWW2026 as PC Member.
2025.09 : World’s Top 2 % Scientists by Stanford (2025).
2025.09 : Two papers are accepted by NeurIPS 2025.
2025.09 : 2025 AI 2000 Most Influential Scholar Award Honorable Mention in AAAI/IJCAI (91st worldwide).
2025.09 : I will serve on the program committee of ICLR 2026 as a Reviewer.
2025.08 : I will serve as a member of the CCIR Committee（中国中文信息学会信息检索专委会委员）.
2025.08 : I will serve on the program committee of industry track at WWW2026 as PC Member.
2025.05 : Two papers are accepted by KDD ADS 2025.
2025.04 : Three papers are accepted by ICML 2025.
2025.04 : I will serve on the program committee of NeurIPS 2025 as a PC Member.
2025.04 : Two papers are accepted by SIGIR 2025.
2025.03 : I will serve on the program committee of ACM MM 2025 as an Area Chair.
2025.01 : I will serve on the program committee of IJCAI 2025 as a SPC Member.
2025.01 : I will serve on the program committee of SIGIR 2025 as a PC Member.
2025.01 : I will serve on the program committee of KDD 2025 ADS track as a PC member.
2025.01 : I will serve on the program committee of ECMLPKDD 2025 as a PC member.

Publications

Year 2026

Fighting Numerical Hallucinations via Data-centric Compilation for Online Financial QA，Hao Chen, Xing Tang, Qirui Liu, Weijie Shi, Shiwei Li, Fuyuan Lyu, weihongluo, Xiku Du, Xiuqiang He，in Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2026
AMS: Adaptive Modality Scheduling for Industrial Multi-Scenario CTR Prediction，Kailiang Hao, Chaohua Yang, WeiZeng, Jianan Su, Kaixin Shen, jingtong wu, Dugang Liu, Xing Tang, Jingyang Bin, Xiuqiang He, Zhong Ming，in Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2026
Learning 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，in The 64th Annual Meeting of the Association for Computational Linguistics, ACL 2026
Exploring Test-time Scaling via Prediction Merging on Large-Scale Recommendation,Fuyuan Lyu, Zhentai Chen, Jingyan Jiang, Lingjie Li, Xing Tang, Xiuqiang He, Xue Liu, in Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026
FedMM: Federated Collaborative Signal Quantization for Multi-Market CTR Prediction, Jun Zhang, Dugang Liu, Xing Tang, Xiuqiang He, Zhong Ming, in Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026
DeepResearch-9K: A Challenging Benchmark Dataset of Deep-Research Agent, Tongzhou Wu, Yuhao Wang, Xinyu Ma, Xiuqiang He, Shuaiqiang Wang, Dawei Yin, Xiangyu Zhao, in Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026
Data-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, In Proceedings of the ACM Web Conference 2026, WebConf 2026
BoRA: Towards More Expressive Low-Rank Adaptation with Block Diversity, Shiwei Li, Xiandi Luo, Haozhao Wang, Xing Tang, Ziqiang Cui, Dugang Liu, Yuhua Li, Yichen Li, Xiuqiang He, and Ruixuan Li, In The Fourteenth International Conference on Learning Representations, ICLR 2026
An adaptive length-variation based evolutionary multitasking algorithm for feature selection of high-dimensional classification, Lingjie Li, Yuze Zhang, Zhijiao Xiao, Qiuzhen Lin, Xin Wang, Xiuqiang He, Ming Zhong, In Expert Systems With Applications 2026
Automated 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, in The 19th ACM International Conference on Web Search and Data Mining, WSDM 2026.

Year 2025

Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation, Ziqiang Cui, Yunpeng Weng, Xing Tang, Xiaokun Zhang, Shiwei Li, Peiyang Liu, Bowei He, Dugang Liu, Weihong Luo, Xiuqiang He, and Chen Ma, In 39th Annual Conference on Neural Information Processing Systems, NeurIPS 2025
Beyond Higher Rank: Token-wise Input-Output Projections for Efficient Low-Rank Adaptation，Shiwei Li, Xiandi Luo, Haozhao Wang, Xing Tang, Ziqiang Cui, Dugang Liu, Yuhua Li, Xiuqiang He, and Ruixuan Li, In 39th Annual Conference on Neural Information Processing Systems, NeurIPS 2025
Retrieval 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, and Xiuqiang He，Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2025
Timing 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, and Xing Tang，Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2025
The 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, and Ruixuan Li，42nd International Conference on Machine Learning, ICML 2025
Invariant Deep Uplift Modeling for Incentives 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 , and Xiuqiang He, 42nd International Conference on Machine Learning, ICML 2025
Beyond 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, and Ruixuan Li, 42nd International Conference on Machine Learning, ICML 2025
Timing 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, and Xing Tang，The Thirteenth International Conference on Learning Representations Workshop Advances in Financial AI, Financial AI@ICLR 2025
Comprehending Knowledge Graphs with Large Language Models for Recommender Systems，Ziqiang Cui, Yunpeng Weng, Xing Tang , Fuyuan Lyu, Dugang Liu, Xiuqiang He, and Chen Ma，Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025
Multi-scenario Instance Embedding Learning for Deep Recommender Systems，Chaohua Yang, Dugang Liu, Xing Tang , Yuwen Fu, Xiuqiang He, Xiangyu Zhao, and Ming Zhong，Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025
Policy-aware Reward Modeling with Uncertainty-Gradient based Data Augmentation, Zexu Sun, Yiju Guo, Yankai Lin, Xu Chen, Qi Qi, Xing Tang , Xiuqiang He, and Ji-Rong Wen, The Thirteenth International Conference on Learning Representations, ICLR 2025
Scenario Shared Instance Modeling for Click-through Rate Prediction，Dugang Liu, Chaohua Yang, Yuwen Fu, Xing Tang, Gongfu Li, Fuyuan Lyu, Xiuqiang He, and Zhong Ming，Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2025
Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models, Kexin Zhang, Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Kaize Ding, Xiuqiang He, and Xue Liu, Proceedings of the 18th ACM International Conference on Web Search and Data Mining, WSDM 2025
A Predict-Then-Optimize Customer Allocation Framework for Online Fund Recommendation, Xing Tang , Yunpeng Weng, Fuyuan Lyu, Dugang Liu, and Xiuqiang He, Database Systems for Advanced Applications - 30th International Conference, DASFAA 2025

Year 2024

OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction, Yunpeng Weng, Xing Tang, Zhenhao Xu, Fuyuan Lyu, Dugang Liu, Zexu Sun, and Xiuqiang He, Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024
End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling, Zexu Sun, Hao Yang, Dugang Liu, Yunpeng Weng, Xing Tang, and Xiuqiang He, Proceedings of the 18th ACM Conference on Recommender Systems, RecSys 2024
Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation, Xing Tang, Yang Qiao, Fuyuan Lyu, Dugang Liu, and Xiuqiang He, Proceedings of the 18th ACM Conference on Recommender Systems, RecSys 2024
Masked Random Noise for Communication-Efficient Federated Learning, Shiwei Li, Yingyi Cheng, Haozhao Wang, Xing Tang , Shijie Xu, Weihong Luo, Yuhua Li, Dugang Liu, Xiuqiang He, and Ruixuan Li Proceedings of the 31st ACM International Conference on Multimedia, MM 2024
Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing, Bowei He, Yunpeng Weng, Xing Tang , Ziqiang Cui, Zexu Sun, Liang Chen, Xiuqiang He, and Chen Ma, Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024
FedBAT: 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, and Ruixuan Li, 41st International Conference on Machine Learning, ICML 2024
AutoDCS: Automated Decision Chain Selection in Deep Recommender Systems, Dugang Liu, Shenxian Xian, Yuhao Wu, Chaohua Yang, Xing Tang , Xiuqiang He, and Zhong Ming, Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024
Towards Effective and Efficient Multi-valued Treatment Uplift Modeling in Online Marketing, Zexun Sun, Dugang Liu, Xing Tang , Yunpeng Weng, and Xiuqiang He, Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024
Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks, Ziqiang Cui, Xing Tang , Yang Qiao, Bowei He, Liang Chen, Xiuqiang He, and Chen Ma Proceedings of the 2024 SIAM International Conference on Data Mining, SDM 2024
MultiFS: 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, and Xiangyu Zhao, Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024
Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects, Yuheng Cheng, Ceyao Zhang, Zhengwen Zhang, Xiangrui Meng, Sirui Hong, Wenhao Li, Zihao Wang, Zekai Wang, Feng Yin, Junhua Zhao, Xiuqiang He, arXiv preprint arXiv:2401.03428

Year 2023

Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network, Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Weihong Luo, Liang Chen, Xiuqiang He, and Xue Liu, 37th Annual Conference on Neural Information Processing Systems, NeurIPS 2023
Prior-guided Accuracy-bias Tradeoff Learning for CTR Prediction in Multimedia Recommendation, Dugang Liu, Yang Qiao, Xing Tang , Liang Chen, Xiuqiang He, and Zhong Ming, Proceedings of The 30th ACM International Conference on Multimedia, MM 2023
OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction, Xing Tang, Yang Qiao, Yuwen Fu, Fuyuan Lyu, Dugang Liu, and Xiuqiang He, European Conference on Machine Learning and Knowledge Discovery in Databases, ECML-PKDD 2023
Expected Transaction Value Optimization for Precise Marketing in FinTech Platforms, Yunpeng Weng, Xing Tang , Liang Chen, Dugang Liu, and Xiuqiang He, International Workshop on Deep Learning Practice for High-Dimensional Sparse Data, DLP@Recsys 2023
Explicit Feature Interaction-aware Uplift Network for Online Marketing, Dugang Liu, Xing Tang, Gao Han, Fuyuan Lyu, and Xiuqiang He, Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023
Curriculum Modeling the Dependence among Targets with Multi-task Learning for Financial Marketing, Yunpeng Weng, Xing Tang, Liang Chen, and Xiuqiang He, Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023
DIWIFT: Discovering Instance-wise Influential Features for Tabular Data, Dugang Liu, Pengxiang Cheng, Hong Zhu, Xing Tang, Yanyu Chen, Xiaoting Wang, Weike Pan, Zhong Ming, and Xiuqiang He, Proceedings of the ACM Web Conference 2023, WebConf 2023
Optimizing Feature Set for Click-Through Rate Prediction, Fuyuan Lyu, Xing Tang , Dugang Liu, Liang Chen, Xiuqiang He, and Xue Liu, Proceedings of the ACM Web Conference 2023, WebConf 2023
Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation, Dugang Liu, Qiao Yang, Xing Tang , Liang Chen, Xiuqiang He, Weike Pan, and Zhong Ming Database Systems for Advanced Applications - 28th International Conference, DASFAA 2023
Debiased recommendation with user feature balancing, Mengyue Yang, Guohao Cai, Furui Liu, Jiarui Jin, Zhenhua Dong, Xiuqiang He, Jianye Hao, Weiqi Shao, Jun Wang, Xu Chen, ACM Transactions on Information Systems, TOIS 2023

Year 2022

A 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, in Proceedings of the ACM International Conference on Web Search and Data Mining, WSDM 2022
Beyond Relevance Ranking: A General Graph Matching Framework for Utility-Oriented Learning to Rank, Xinyi Dai, Yunjia Xi, Weinan Zhang, Qing Liu, Ruiming Tang, Xiuqiang He, Jiawei Hou, Jun Wang, Yong Yu, ACM Transactions on Information Systems 2022
Click-through rate prediction using transfer learning with fine-tuned parameters, Xiangli Yang, Qing Liu, Rong Su, Ruiming Tang, Zhirong Liu, Xiuqiang He, Jianxi Yang, Information Sciences 2022
Contrastive Learning with Positive-Negative Frame Mask for Music Representation, Dong Yao, Zhou Zhao, Shengyu Zhang, Jieming Zhu, Yudong Zhu, Rui Zhang, Xiuqiang He, in Proceedings of the ACM Web Conference, WWW 2022
Hierarchical Imitation Learning via Subgoal Representation Learning for Dynamic Treatment Recommendation, Lu Wang, Ruiming Tang, Xiaofeng He, Xiuqiang He, in Proceedings of the ACM International Conference on Web Search and Data Mining, WSDM 2022
IPGAN: Generating Informative Item Pairs by Adversarial Sampling, Guibing Guo, Huan Zhou, Bowei Chen, Zhirong Liu, Xiao Xu, Xu Chen, Zhenhua Dong, Xiuqiang He, IEEE Transactions on Neural Networks and Learning Systems 2022
Improving Knowledge Tracing with Collaborative Information, Ting Long, Jiarui Qin, Jian Shen, Weinan Zhang, Wei Xia, Ruiming Tang, Xiuqiang He, Yong Yu, in Proceedings of the ACM International Conference on Web Search and Data Mining, WSDM 2022
MISS: 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, in Proceedings of the IEEE International Conference on Data Engineering, ICDE 2022
Memorize, 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, in Proceedings of the IEEE International Conference on Data Engineering, ICDE 2022
PEAR: 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, in Companion Proceedings of the ACM Web Conference, WWW (Companion Volume) 2022
ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems, Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang, in Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2022
Regularization 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, in Proceedings of the AAAI Conference on Artificial Intelligence, AAAI 2022
Wnet: 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, in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022

Year 2021

A 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, in Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2021
AMM: Attentive Multi-field Matching for News Recommendation, Qi Zhang, Qinglin Jia, Chuyuan Wang, Jingjie Li, Zhaowei Wang, Xiuqiang He, in Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2021
Adaptive Spatio-Temporal Graph Enhanced Vision-Language Representation for Video QA, Weike Jin, Zhou Zhao, Xiaochun Cao, Jieming Zhu, Xiuqiang He, Yueting Zhuang, IEEE Transactions on Image Processing 2021
An 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, in Proceedings of the ACM Web Conference, WWW 2021
An Embedding Learning Framework for Numerical Features in CTR Prediction, Huifeng Guo, Bo Chen, Ruiming Tang, Weinan Zhang, Zhenguo Li, Xiuqiang He, in Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2021
BiPS: Hotness-aware Bi-tier Parameter Synchronization for Recommendation Models, Qiming Zheng, Quan Chen, Kaihao Bai, Huifeng Guo, Yong Gao, Xiuqiang He, Minyi Guo, in Proceedings of the IEEE International Parallel and Distributed Processing Symposium, IPDPS 2021
Cross-Batch Negative Sampling for Training Two-Tower Recommenders, Jinpeng Wang, Jieming Zhu, Xiuqiang He, in Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2021
Deep Learning for Click-Through Rate Estimation, Weinan Zhang, Jiarui Qin, Wei Guo, Ruiming Tang, Xiuqiang He, in Proceedings of the International Joint Conference on Artificial Intelligence, IJCAI 2021
Dual Graph enhanced Embedding Neural Network for CTR Prediction, Wei Guo, Rong Su, Renhao Tan, Huifeng Guo, Yingxue Zhang, Zhirong Liu, Ruiming Tang, Xiuqiang He, in Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2021
Dual Sequence Transformer for Query-based Interactive Recommendation, Guohao Cai, Xiaoguang Li, Quanyu Dai, Gang Wang, Zhenhua Dong, Chaoliang Zhang, Xiuqiang He, Lifeng Shang, in Proceedings of the IEEE International Conference on Mobile Data Management, MDM 2021
Enhancing 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, in Proceedings of the ACM International Conference on Information and Knowledge Management, CIKM 2021
Graph Heterogeneous Multi-Relational Recommendation, Chong Chen, Weizhi Ma, Min Zhang, Zhaowei Wang, Xiuqiang He, Chenyang Wang, Yiqun Liu, Shaoping Ma, in Proceedings of the AAAI Conference on Artificial Intelligence, AAAI 2021
Hierarchical Cross-Modal Graph Consistency Learning for Video-Text Retrieval, Weike Jin, Zhou Zhao, Pengcheng Zhang, Jieming Zhu, Xiuqiang He, Yueting Zhuang, in Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2021
Mitigating Confounding Bias in Recommendation via Information Bottleneck, Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming, in Proceedings of the ACM Conference on Recommender Systems, RecSys 2021
Mobile App Cross-Domain Recommendation with Multi-Graph Neural Network, Yi Ouyang, Bin Guo, Xing Tang, Xiuqiang He, Jian Xiong, Zhiwen Yu, ACM Transactions on Knowledge Discovery from Data 2021
Modeling High-order Interactions across Multi-interests for Micro-video Recommendation (Student Abstract), Dong Yao, Shengyu Zhang, Zhou Zhao, Wenyan Fan, Jieming Zhu, Xiuqiang He, Fei Wu, in Proceedings of the AAAI Conference on Artificial Intelligence, AAAI 2021
Open Benchmarking for Click-Through Rate Prediction, Jieming Zhu, Jinyang Liu, Shuai Yang, Qi Zhang, Xiuqiang He, in Proceedings of the ACM International Conference on Information and Knowledge Management, CIKM 2021
QA4PRF: A Question Answering Based Framework for Pseudo Relevance Feedback, Handong Ma, Jiawei Hou, Chenxu Zhu, Weinan Zhang, Ruiming Tang, Jincai Lai, Jieming Zhu, Xiuqiang He, Yong Yu, IEEE Access 2021
RMBERT: News Recommendation via Recurrent Reasoning Memory Network over BERT, Qinglin Jia, Jingjie Li, Qi Zhang, Xiuqiang He, Jieming Zhu, in Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2021
Retrieval & Interaction Machine for Tabular Data Prediction, Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Ruiming Tang, Xiuqiang He, Yong Yu, in Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2021
ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table, Huifeng Guo, Wei Guo, Yong Gao, Ruiming Tang, Xiuqiang He, Wenzhi Liu, in Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2021
SimpleX: A Simple and Strong Baseline for Collaborative Filtering, Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He, in Proceedings of the ACM International Conference on Information and Knowledge Management, CIKM 2021
Top-N Recommendation with Counterfactual User Preference Simulation, Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang, in Proceedings of the ACM International Conference on Information and Knowledge Management, CIKM 2021
Topic-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, in Proceedings of the ACM Web Conference, WWW 2021
UNBERT: User-News Matching BERT for News Recommendation, Qi Zhang, Jingjie Li, Qinglin Jia, Chuyuan Wang, Jieming Zhu, Zhaowei Wang, Xiuqiang He, in Proceedings of the International Joint Conference on Artificial Intelligence, IJCAI 2021
UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation, Kelong Mao, Jieming Zhu, Xi Xiao, Biao Lu, Zhaowei Wang, Xiuqiang He, in Proceedings of the ACM International Conference on Information and Knowledge Management, CIKM 2021
Why Do We Click: Visual Impression-aware News Recommendation, Jiahao Xun, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Qi Zhang, Jingjie Li, Xiuqiang He, Xiaofei He, Tat-Seng Chua, Fei Wu, in Proceedings of the ACM International Conference on Multimedia, MM 2021

Year 2020

A 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, in Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2020
A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data, Dugang Liu, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming, in Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2020
AutoConjunction: 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, in Proceedings of the IEEE International Conference on Mobile Data Management, MDM 2020
AutoFIS: 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, in Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2020
AutoFeature: Searching for Feature Interactions and Their Architectures for Click-through Rate Prediction, Farhan Khawar, Xu Hang, Ruiming Tang, Bin Liu, Zhenguo Li, Xiuqiang He, in Proceedings of the ACM International Conference on Information and Knowledge Management, CIKM 2020
AutoGroup: 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, in Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2020
BiGAN: Collaborative Filtering with Bidirectional Generative Adversarial Networks, Rui Ding, Guibing Guo, Xiaochun Yang, Bowei Chen, Zhirong Liu, Xiuqiang He, in Proceedings of the SIAM International Conference on Data Mining, SDM 2020
Counterfactual Contrastive Learning for Weakly-Supervised Vision-Language Grounding, Zhu Zhang, Zhou Zhao, Zhijie Lin, Jieming Zhu, Xiuqiang He, in Annual Conference on Neural Information Processing Systems, NeurIPS 2020
Counterfactual learning for recommender system, Zhenhua Dong, Hong Zhu, Pengxiang Cheng, Xinhua Feng, Guohao Cai, Xiuqiang He, Jun Xu, Jirong Wen, in Proceedings of the ACM Conference on Recommender Systems, RecSys 2020
Dual-attentional Factorization-Machines based Neural Network for User Response Prediction, Feng Liu, Wei Guo, Huifeng Guo, Ruiming Tang, Yunming Ye, Xiuqiang He, in Companion Proceedings of the ACM Web Conference, WWW (Companion Volume) 2020
End-to-End Deep Reinforcement Learning based Recommendation with Supervised Embedding, Feng Liu, Huifeng Guo, Xutao Li, Ruiming Tang, Yunming Ye, Xiuqiang He, in Proceedings of the ACM International Conference on Web Search and Data Mining, WSDM 2020
Ensembled CTR Prediction via Knowledge Distillation, Jieming Zhu, Jinyang Liu, Weiqi Li, Jincai Lai, Xiuqiang He, Liang Chen, Zibin Zheng, in Proceedings of the ACM International Conference on Information and Knowledge Management, CIKM 2020
Influence Function for Unbiased Recommendation, Jiangxing Yu, Hong Zhu, Chih-Yao Chang, Xinhua Feng, Bo-Wen Yuan, Xiuqiang He, Zhenhua Dong, in Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2020
Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning, Sijin Zhou, Xinyi Dai, Haokun Chen, Weinan Zhang, Kan Ren, Ruiming Tang, Xiuqiang He, Yong Yu, in Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2020
Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach, Kelong Mao, Xi Xiao, Jieming Zhu, Biao Lu, Ruiming Tang, Xiuqiang He, in Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2020
JIT2R: A Joint Framework for Item Tagging and Tag-based Recommendation, Xu Chen, Changying Du, Xiuqiang He, Jun Wang, in Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2020
Less Is Better: Unweighted Data Subsampling via Influence Function, Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang, in Proceedings of the AAAI Conference on Artificial Intelligence, AAAI 2020
Leveraging Title-Abstract Attentive Semantics for Paper Recommendation, Guibing Guo, Bowei Chen, Xiaoyan Zhang, Zhirong Liu, Zhenhua Dong, Xiuqiang He, in Proceedings of the AAAI Conference on Artificial Intelligence, AAAI 2020
MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection, Mi Luo, Fei Chen, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Jiashi Feng, Zhenguo Li, in Proceedings of the ACM Web Conference, WWW 2020
Multi-Branch Convolutional Network for Context-Aware Recommendation, Wei Guo, Can Zhang, Huifeng Guo, Ruiming Tang, Xiuqiang He, in Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2020
Neighbor Interaction Aware Graph Convolution Networks for Recommendation, Jianing Sun, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Xiuqiang He, Chen Ma, Mark Coates, in Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2020
Personalized Re-ranking with Item Relationships for E-commerce, Weiwen Liu, Qing Liu, Ruiming Tang, Junyang Chen, Xiuqiang He, Pheng-Ann Heng, in Proceedings of the ACM International Conference on Information and Knowledge Management, CIKM 2020
Regularized Two-Branch Proposal Networks for Weakly-Supervised Moment Retrieval in Videos, Zhu Zhang, Zhijie Lin, Zhou Zhao, Jieming Zhu, Xiuqiang He, in Proceedings of the ACM International Conference on Multimedia, MM 2020
State representation modeling for deep reinforcement learning based recommendation, Feng Liu, Ruiming Tang, Xutao Li, Weinan Zhang, Yunming Ye, Haokun Chen, Huifeng Guo, Yuzhou Zhang, Xiuqiang He, Knowledge-Based Systems 2020
TGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation, Bo Chen, Wei Guo, Ruiming Tang, Xin Xin, Yue Ding, Xiuqiang He, Dong Wang, in Proceedings of the ACM International Conference on Information and Knowledge Management, CIKM 2020
Top-aware reinforcement learning based recommendation, Feng Liu, Ruiming Tang, Huifeng Guo, Xutao Li, Yunming Ye, Xiuqiang He, Neurocomputing 2020
U-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, in Proceedings of the ACM International Conference on Information and Knowledge Management, CIKM 2020

Year 2019

Model-free inference of diffusion networks using RKHS embeddings, Shoubo Hu, Bogdan Cautis, Zhitang Chen, Laiwan Chan, Yanhui Geng, Xiuqiang He, Data Mining and Knowledge Discovery 2019
Multi-graph Convolution Collaborative Filtering, Jianing Sun, Yingxue Zhang, Chen Ma, Mark Coates, Huifeng Guo, Ruiming Tang, Xiuqiang He, in Proceedings of the IEEE International Conference on Data Mining, ICDM 2019
Product-Based Neural Networks for User Response Prediction over Multi-Field Categorical Data, Yanru Qu, Bohui Fang, Weinan Zhang, Ruiming Tang, Minzhe Niu, Huifeng Guo, Yong Yu, Xiuqiang He, ACM Transactions on Information Systems 2019

Year 2018

Field-aware probabilistic embedding neural network for CTR prediction, Weiwen Liu, Ruiming Tang, Jiajin Li, Jinkai Yu, Huifeng Guo, Xiuqiang He, Shengyu Zhang, in Proceedings of the ACM Conference on Recommender Systems, RecSys 2018
Novel 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, in International Conference on Database Systems for Advanced Applications, DASFAA 2018

Year 2017

A Graph-Based Push Service Platform, Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He, in International Conference on Database Systems for Advanced Applications, DASFAA 2017
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction, Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He, in Proceedings of the International Joint Conference on Artificial Intelligence, IJCAI 2017
Holistic Neural Network for CTR Prediction, Huifeng Guo, Ruiming Tang, Yunming Ye, Xiuqiang He, in Companion Proceedings of the ACM Web Conference, WWW (Companion Volume) 2017

Full paper list available at My Google Scholar

Group

Prof. Xing Tang
Prof. Lingjie Li
Students: Jingyang Bin, Jiawei Lin, Hanchong Chen, Jie Liu, Yongwei Li, Jun Zhang, ChengLin Luo, Yaoshuo Wu, XiongFeng Shan, Lietai Hong, Zhiyu Zhang
Visiting Students: Tongzhou Wu (City University of Hong Kong)

Off-Campus Collaborator:

Prof. Dugang Liu (Shenzhen University)
Dr. Fuyuan Lyu (McGill University)
Dr. Shiwei Li (Huazhong University of Science and Technology)

Services

PC member of ECMLPKDD 2025,KDD ADS 2025,SIGIR 2025,NeurIPS 2025,WWW 2026,ICLR 2026
SPC/AC of IJCAI 2025,MM2025
Co-Program Chair of ICMLCA 2025
Member of the CCIR Committee (中国中文信息学会信息检索专委会委员), since 2025.08

Awards

2025 AI 2000 Most Influential Scholar Award Honorable Mention in AAAI/IJCAI
2025 AI 2000 Most Influential Scholar Award Honorable Mention in SIGIR/RecSys/WWW
2024 AI 2000 Most Influential Scholar Award Honorable Mention in AAAI/IJCAI
2023 AI 2000 Most Influential Scholar Award Honorable Mention in AAAI/IJCAI
Best Paper Award at DLP-KDD 2021
Huawei Gold Individual Award, 2015
Huawei Gold Individual Award, 2012
Huawei Gold Team Award, 2011

Teaching

Fall 2025, Intelligent Recommender Systems: Application and Practice（智能推荐系统应用与实践）

Educations

2006.07 - 2010.07, Ph.D, Computer Science and Engineering, Hong Kong University of Science and Technology (HKUST)
2003.09 - 2006.07, Master, Computer Science and Technology, Xi’an Jiaotong University
1999.09 - 2003.07, Bachelor, Computer Science and Technology, Xi’an Jiaotong University

Industry Experiences

2022.01 - 2025.01, Senior Director, Principle Expert Researcher, Intelligent Application Center, FiT, Tencent
2019.07 - 2021.12, Director, Senior Researcher, Recommendation and search Lab, Noah’s Ark Lab, Huawei
2018.05 - 2019.07, Expert, PCG, Tencent
2010.07 - 2018.05, Founding Director, Recommendation and search Lab, Noah’s Ark Lab, Huawei