Zhenhua Dong

According to our database, Zhenhua Dong authored at least 125 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Model-Agnostic Causal Embedding Learning for Counterfactually Group-Fair Recommendation.

Xiao Zhang, Teng Shi, Jun Xu, Zhenhua Dong, Ji-Rong Wen

IEEE Trans. Knowl. Data Eng., December, 2024

Explainable Legal Case Matching via Graph Optimal Transport.

Zhongxiang Sun, Weijie Yu, Zihua Si, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen

IEEE Trans. Knowl. Data Eng., June, 2024

Syntactic-Informed Graph Networks for Sentence Matching.

Chen Xu, Jun Xu, Zhenhua Dong, Ji-Rong Wen

ACM Trans. Inf. Syst., March, 2024

A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation Systems.

Jun Yuan, Guohao Cai, Zhenhua Dong

CoRR, 2024

MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants.

Zeyu Zhang, Quanyu Dai, Luyu Chen, Zeren Jiang, Rui Li, Jieming Zhu, Xu Chen, Yi Xie, Zhenhua Dong, Ji-Rong Wen

CoRR, 2024

Prompt Tuning as User Inherent Profile Inference Machine.

Yusheng Lu, Zhaocheng Du, Xiangyang Li, Xiangyu Zhao, Weiwen Liu, Yichao Wang, Huifeng Guo, Ruiming Tang, Zhenhua Dong, Yongrui Duan

CoRR, 2024

ACE: A Generative Cross-Modal Retrieval Framework with Coarse-To-Fine Semantic Modeling.

Minghui Fang, Shengpeng Ji, Jialong Zuo, Hai Huang, Yan Xia, Jieming Zhu, Xize Cheng, Xiaoda Yang, Wenrui Liu, Gang Wang, Zhenhua Dong, Zhou Zhao

CoRR, 2024

EAGER: Two-Stream Generative Recommender with Behavior-Semantic Collaboration.

Ye Wang, Jiahao Xun, Mingjie Hong, Jieming Zhu, Tao Jin, Wang Lin, Haoyuan Li, Linjun Li, Yan Xia, Zhou Zhao, Zhenhua Dong

CoRR, 2024

Source Echo Chamber: Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop.

Yuqi Zhou, Sunhao Dai, Liang Pang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen

CoRR, 2024

BankFair: Balancing Accuracy and Fairness under Varying User Traffic in Recommender System.

Xiaopeng Ye, Chen Xu, Jun Xu, Xuyang Xie, Gang Wang, Zhenhua Dong

CoRR, 2024

Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation.

Yuang Zhao, Zhaocheng Du, Qinglin Jia, Linxuan Zhang, Zhenhua Dong, Ruiming Tang

CoRR, 2024

CELA: Cost-Efficient Language Model Alignment for CTR Prediction.

Xingmei Wang, Weiwen Liu, Xiaolong Chen, Qi Liu, Xu Huang, Defu Lian, Xiangyang Li, Yasheng Wang, Zhenhua Dong, Ruiming Tang

CoRR, 2024

Multimodal Pretraining and Generation for Recommendation: A Tutorial.

Jieming Zhu, Chuhan Wu, Rui Zhang, Zhenhua Dong

CoRR, 2024

Contrastive Quantization based Semantic Code for Generative Recommendation.

Mengqun Jin, Zexuan Qiu, Jieming Zhu, Zhenhua Dong, Xiu Li

CoRR, 2024

A Survey on the Memory Mechanism of Large Language Model based Agents.

Zeyu Zhang, Xiaohe Bo, Chen Ma, Rui Li, Xu Chen, Quanyu Dai, Jieming Zhu, Zhenhua Dong, Ji-Rong Wen

CoRR, 2024

Unifying Bias and Unfairness in Information Retrieval: A Survey of Challenges and Opportunities with Large Language Models.

Sunhao Dai, Chen Xu, Shicheng Xu, Liang Pang, Zhenhua Dong, Jun Xu

CoRR, 2024

Unlocking the Potential of Multimodal Unified Discrete Representation through Training-Free Codebook Optimization and Hierarchical Alignment.

Hai Huang, Yan Xia, Shengpeng Ji, Shulei Wang, Hanting Wang, Jieming Zhu, Zhenhua Dong, Zhou Zhao

CoRR, 2024

Multimodal Pretraining and Generation for Recommendation: A Tutorial.

Jieming Zhu, Xin Zhou, Chuhan Wu, Rui Zhang, Zhenhua Dong

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

MART: Learning Hierarchical Music Audio Representations with Part-Whole Transformer.

Dong Yao, Jieming Zhu, Jiahao Xun, Shengyu Zhang, Zhou Zhao, Liqun Deng, Wenqiao Zhang, Zhenhua Dong, Xin Jiang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data.

Junjie Huang, Guohao Cai, Jieming Zhu, Zhenhua Dong, Ruiming Tang, Weinan Zhang, Yong Yu

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

LightCS: Selecting Quadratic Feature Crosses in Linear Complexity.

Zhaocheng Du, Junhao Chen, Qinglin Jia, Chuhan Wu, Jieming Zhu, Zhenhua Dong, Ruiming Tang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation.

Jieming Zhu, Mengqun Jin, Qijiong Liu, Zexuan Qiu, Zhenhua Dong, Xiu Li

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising.

Yang Yang, Bo Chen, Chenxu Zhu, Menghui Zhu, Xinyi Dai, Huifeng Guo, Muyu Zhang, Zhenhua Dong, Ruiming Tang

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Multi-sourced Integrated Ranking with Exposure Fairness.

Yifan Liu, Weiwen Liu, Wei Xia, Jieming Zhu, Weinan Zhang, Zhenhua Dong, Yang Wang, Ruiming Tang, Rui Zhang, Yong Yu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time.

Haiyuan Zhao, Guohao Cai, Jieming Zhu, Zhenhua Dong, Jun Xu, Ji-Rong Wen

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

EAGER: Two-Stream Generative Recommender with Behavior-Semantic Collaboration.

Ye Wang, Jiahao Xun, Minjie Hong, Jieming Zhu, Tao Jin, Wang Lin, Haoyuan Li, Linjun Li, Yan Xia, Zhou Zhao, Zhenhua Dong

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey.

Qijiong Liu, Jieming Zhu, Yanting Yang, Quanyu Dai, Zhaocheng Du, Xiao-Ming Wu, Zhou Zhao, Rui Zhang, Zhenhua Dong

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era.

Sunhao Dai, Chen Xu, Shicheng Xu, Liang Pang, Zhenhua Dong, Jun Xu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Modeling User Attention in Music Recommendation.

Sunhao Dai, Ninglu Shao, Jieming Zhu, Xiao Zhang, Zhenhua Dong, Jun Xu, Quanyu Dai, Ji-Rong Wen

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Active Explainable Recommendation with Limited Labeling Budgets.

Jingsen Zhang, Xiaohe Bo, Chenxi Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Xu Chen

Proceedings of the IEEE International Conference on Acoustics, 2024

Confidence-Aware Multi-Field Model Calibration.

Yuang Zhao, Chuhan Wu, Qinglin Jia, Hong Zhu, Jia Yan, Libin Zong, Linxuan Zhang, Zhenhua Dong, Muyu Zhang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Guaranteeing Accuracy and Fairness under Fluctuating User Traffic: A Bankruptcy-Inspired Re-ranking Approach.

Xiaopeng Ye, Chen Xu, Jun Xu, Xuyang Xie, Gang Wang, Zhenhua Dong

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

EASE: Learning Lightweight Semantic Feature Adapters from Large Language Models for CTR Prediction.

Zexuan Qiu, Jieming Zhu, Yankai Chen, Guohao Cai, Weiwen Liu, Zhenhua Dong, Irwin King

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

UniEmbedding: Learning Universal Multi-Modal Multi-Domain Item Embeddings via User-View Contrastive Learning.

Boqi Dai, Zhaocheng Du, Jieming Zhu, Jintao Xu, Deqing Zou, Quanyu Dai, Zhenhua Dong, Rui Zhang, Hai-Tao Zheng

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration.

Sunhao Dai, Weihao Liu, Yuqi Zhou, Liang Pang, Rongju Ruan, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework.

Lei Wang, Xu Chen, Zhenhua Dong, Quanyu Dai

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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 Trans. Inf. Syst., October, 2023

Bounding System-Induced Biases in Recommender Systems with a Randomized Dataset.

Dugang Liu, Pengxiang Cheng, Zinan Lin, Xiaolian Zhang, Zhenhua Dong, Rui Zhang, Xiuqiang He, Weike Pan, Zhong Ming

ACM Trans. Inf. Syst., October, 2023

KDCRec: Knowledge Distillation for Counterfactual Recommendation via Uniform Data.

Dugang Liu, Pengxiang Cheng, Zinan Lin, Jinwei Luo, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming

IEEE Trans. Knowl. Data Eng., August, 2023

Debiased Representation Learning in Recommendation via Information Bottleneck.

Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming

Trans. Recomm. Syst., March, 2023

Music-PAW: Learning Music Representations via Hierarchical Part-whole Interaction and Contrast.

Dong Yao, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Liqun Deng, Wenqiao Zhang, Zhenhua Dong, Ruiming Tang, Xin Jiang

CoRR, 2023

Ten Challenges in Industrial Recommender Systems.

Zhenhua Dong, Jieming Zhu, Weiwen Liu, Ruiming Tang

CoRR, 2023

REASONER: An Explainable Recommendation Dataset with Multi-aspect Real User Labeled Ground Truths Towards more Measurable Explainable Recommendation.

Xu Chen, Jingsen Zhang, Lei Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, Ji-Rong Wen

CoRR, 2023

Recommendation with Causality enhanced Natural Language Explanations.

Jingsen Zhang, Xu Chen, Jiakai Tang, Weiqi Shao, Quanyu Dai, Zhenhua Dong, Rui Zhang

Proceedings of the ACM Web Conference 2023, 2023

P-MMF: Provider Max-min Fairness Re-ranking in Recommender System.

Chen Xu, Sirui Chen, Jun Xu, Weiran Shen, Xiao Zhang, Gang Wang, Zhenhua Dong

Proceedings of the ACM Web Conference 2023, 2023

FANS: Fast Non-Autoregressive Sequence Generation for Item List Continuation.

Qijiong Liu, Jieming Zhu, Jiahao Wu, Tiandeng Wu, Zhenhua Dong, Xiao-Ming Wu

Proceedings of the ACM Web Conference 2023, 2023

Separating Examination and Trust Bias from Click Predictions for Unbiased Relevance Ranking.

Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Conditional counterfactual causal effect for individual attribution.

Ruiqi Zhao, Lei Zhang, Shengyu Zhu, Zitong Lu, Zhenhua Dong, Chaoliang Zhang, Jun Xu, Zhi Geng, Yangbo He

Proceedings of the Uncertainty in Artificial Intelligence, 2023

FINAL: Factorized Interaction Layer for CTR Prediction.

Jieming Zhu, Qinglin Jia, Guohao Cai, Quanyu Dai, Jingjie Li, Zhenhua Dong, Ruiming Tang, Rui Zhang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Robust Causal Inference for Recommender System to Overcome Noisy Confounders.

Zhiheng Zhang, Quanyu Dai, Xu Chen, Zhenhua Dong, Ruiming Tang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

DisCover: Disentangled Music Representation Learning for Cover Song Identification.

Jiahao Xun, Shengyu Zhang, Yanting Yang, Jieming Zhu, Liqun Deng, Zhou Zhao, Zhenhua Dong, Ruiqi Li, Lichao Zhang, Fei Wu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Single-shot Feature Selection for Multi-task Recommendations.

Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang, Zhenhua Dong

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Law Article-Enhanced Legal Case Matching: A Causal Learning Approach.

Zhongxiang Sun, Jun Xu, Xiao Zhang, Zhenhua Dong, Ji-Rong Wen

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for Recommendation.

Liangcai Su, Fan Yan, Jieming Zhu, Xi Xiao, Haoyi Duan, Zhou Zhao, Zhenhua Dong, Ruiming Tang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Unbiased Top-$k$ Learning to Rank with Causal Likelihood Decomposition.

Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen

Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023

Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation.

Haiyuan Zhao, Lei Zhang, Jun Xu, Guohao Cai, Zhenhua Dong, Ji-Rong Wen

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Large Scale CVR Prediction through Hierarchical History Modeling.

Qi Zhang, Zhibin Zhang, Biao Lu, Bangzheng He, Liangbi Li, Zhenhua Dong

Proceedings of the ACM RecSys Challenge 2023, Singapore, 19 September 2023, 2023

Customer Lifetime Value Prediction: Towards the Paradigm Shift of Recommender System Objectives.

Chuhan Wu, Qinglin Jia, Zhenhua Dong, Ruiming Tang

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Data-free Knowledge Distillation for Reusing Recommendation Models.

Cheng Wang, Jiacheng Sun, Zhenhua Dong, Jieming Zhu, Zhenguo Li, Ruixuan Li, Rui Zhang

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Gradient Matching for Categorical Data Distillation in CTR Prediction.

Cheng Wang, Jiacheng Sun, Zhenhua Dong, Ruixuan Li, Rui Zhang

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

RLMixer: A Reinforcement Learning Approach for Integrated Ranking with Contrastive User Preference Modeling.

Jing Wang, Mengchen Zhao, Wei Xia, Zhenhua Dong, Ruiming Tang, Rui Zhang, Jianye Hao, Guangyong Chen, Pheng-Ann Heng

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Optimal Transport for Treatment Effect Estimation.

Hao Wang, Jiajun Fan, Zhichao Chen, Haoxuan Li, Weiming Liu, Tianqiao Liu, Quanyu Dai, Yichao Wang, Zhenhua Dong, Ruiming Tang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths.

Xu Chen, Jingsen Zhang, Lei Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, Xin Zhao, Ji-Rong Wen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop.

Jieming Zhu, Guohao Cai, Junjie Huang, Zhenhua Dong, Ruiming Tang, Weinan Zhang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Sequential Recommendation with User Causal Behavior Discovery.

Zhenlei Wang, Xu Chen, Rui Zhou, Quanyu Dai, Zhenhua Dong, Ji-Rong Wen

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Fair-CDA: Continuous and Directional Augmentation for Group Fairness.

Rui Sun, Fengwei Zhou, Zhenhua Dong, Chuanlong Xie, Lanqing Hong, Jiawei Li, Rui Zhang, Zhen Li, Zhenguo Li

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction.

Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Multiple Robust Learning for Recommendation.

Haoxuan Li, Quanyu Dai, Yuru Li, Yan Lyu, Zhenhua Dong, Xiao-Hua Zhou, Peng Wu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Debiased recommendation with neural stratification.

Quanyu Dai, Zhenhua Dong, Xu Chen

AI Open, January, 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 Trans. Neural Networks Learn. Syst., 2022

Rapid and Automated Mapping of Crop Type in Jilin Province Using Historical Crop Labels and the Google Earth Engine.

Feng Zhi, Zhenhua Dong, Suri Guga, Yongbin Bao, Aru Han, Jiquan Zhang, Yulong Bao

Remote. Sens., 2022

Recommendation with User Active Disclosing Willingness.

Lei Wang, Xu Chen, Quanyu Dai, Zhenhua Dong

CoRR, 2022

Law Article-Enhanced Legal Case Matching: a Model-Agnostic Causal Learning Approach.

Zhongxiang Sun, Jun Xu, Xiao Zhang, Zhenhua Dong, Ji-Rong Wen

CoRR, 2022

A Brief History of Recommender Systems.

Zhenhua Dong, Zhe Wang, Jun Xu, Ruiming Tang, Jirong Wen

CoRR, 2022

Sequential Recommendation with Causal Behavior Discovery.

Zhenlei Wang, Xu Chen, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen

CoRR, 2022

A Semi-Synthetic Dataset Generation Framework for Causal Inference in Recommender Systems.

Yan Lyu, Sunhao Dai, Peng Wu, Quanyu Dai, Yuhao Deng, Wenjie Hu, Zhenhua Dong, Jun Xu, Shengyu Zhu, Xiao-Hua Zhou

CoRR, 2022

Causal Analysis Framework for Recommendation.

Peng Wu, Haoxuan Li, Yuhao Deng, Wenjie Hu, Quanyu Dai, Zhenhua Dong, Jie Sun, Rui Zhang, Xiao-Hua Zhou

CoRR, 2022

Debiased Recommendation with User Feature Balancing.

Mengyue Yang, Guohao Cai, Furui Liu, Zhenhua Dong, Xiuqiang He, Jianye Hao, Jun Wang, Xu Chen

CoRR, 2022

Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction.

Weijie Yu, Zhongxiang Sun, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 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

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

Counteracting User Attention Bias in Music Streaming Recommendation via Reward Modification.

Xiao Zhang, Sunhao Dai, Jun Xu, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction.

Quanyu Dai, Haoxuan Li, Peng Wu, Zhenhua Dong, Xiao-Hua Zhou, Rui Zhang, Rui Zhang, Jie Sun

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

CausalInt: Causal Inspired Intervention for Multi-Scenario Recommendation.

Yichao Wang, Huifeng Guo, Bo Chen, Weiwen Liu, Zhirong Liu, Qi Zhang, Zhicheng He, Hongkun Zheng, Weiwei Yao, Muyu Zhang, Zhenhua Dong, Ruiming Tang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges.

Peng Wu, Haoxuan Li, Yuhao Deng, Wenjie Hu, Quanyu Dai, Zhenhua Dong, Jie Sun, Rui Zhang, Xiao-Hua Zhou

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Optimal Partial Transport Based Sentence Selection for Long-form Document Matching.

Weijie Yu, Liang Pang, Jun Xu, Bing Su, Zhenhua Dong, Ji-Rong Wen

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Semantic Sentence Matching via Interacting Syntax Graphs.

Chen Xu, Jun Xu, Zhenhua Dong, Ji-Rong Wen

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Dually Enhanced Propensity Score Estimation in Sequential Recommendation.

Chen Xu, Jun Xu, Xu Chen, Zhenhua Dong, Ji-Rong Wen

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

IntTower: The Next Generation of Two-Tower Model for Pre-Ranking System.

Xiangyang Li, Bo Chen, Huifeng Guo, Jingjie Li, Chenxu Zhu, Xiang Long, Sujian Li, Yichao Wang, Wei Guo, Longxia Mao, Jinxing Liu, Zhenhua Dong, Ruiming Tang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

LCD: Adaptive Label Correction for Denoising Music Recommendation.

Quanyu Dai, Yalei Lv, Jieming Zhu, Junjie Ye, Zhenhua Dong, Rui Zhang, Shu-Tao Xia, Ruiming Tang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

MINER: Multi-Interest Matching Network for News Recommendation.

Jian Li, Jieming Zhu, Qiwei Bi, Guohao Cai, Lifeng Shang, Zhenhua Dong, Xin Jiang, Qun Liu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

How Pre-trained Language Models Capture Factual Knowledge? A Causal-Inspired Analysis.

Shaobo Li, Xiaoguang Li, Lifeng Shang, Zhenhua Dong, Chengjie Sun, Bingquan Liu, Zhenzhou Ji, Xin Jiang, Qun Liu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Non-invasive Self-attention for Side Information Fusion in Sequential Recommendation.

Chang Liu, Xiaoguang Li, Guohao Cai, Zhenhua Dong, Hong Zhu, Lifeng Shang

CoRR, 2021

Mitigating Confounding Bias in Recommendation via Information Bottleneck.

Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 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

Proceedings of the 22nd IEEE International Conference on Mobile Data Management, 2021

Approximate Calculation Method of Electron Transit Time in Vacuum Microelectronic Triode.

Zhenhua Dong, Xiaoming Li

Proceedings of the Cyber Security Intelligence and Analytics, 2021

Top-N Recommendation with Counterfactual User Preference Simulation.

Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang

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

SimpleX: A Simple and Strong Baseline for Collaborative Filtering.

Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He

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

Noninvasive Self-attention for Side Information Fusion in Sequential Recommendation.

Chang Liu, Xiaoguang Li, Guohao Cai, Zhenhua Dong, Hong Zhu, Lifeng Shang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Personalized Re-ranking for Improving Diversity in Live Recommender Systems.

Yichao Wang, Xiangyu Zhang, Zhirong Liu, Zhenhua Dong, Xinhua Feng, Ruiming Tang, Xiuqiang He

CoRR, 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

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Design and Research of Electroless Copper Plating in Microelectronics.

Zhenhua Dong, Xiaoming Li

Proceedings of the 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy, 2020

Influence Function for Unbiased Recommendation.

Jiangxing Yu, Hong Zhu, Chih-Yao Chang, Xinhua Feng, Bo-Wen Yuan, Xiuqiang He, Zhenhua Dong

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data.

Dugang Liu, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Unbiased Ad Click Prediction for Position-aware Advertising Systems.

Bo-Wen Yuan, Yaxu Liu, Jui-Yang Hsia, Zhenhua Dong, Chih-Jen Lin

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Counterfactual learning for recommender system.

Zhenhua Dong, Hong Zhu, Pengxiang Cheng, Xinhua Feng, Guohao Cai, Xiuqiang He, Jun Xu, Jirong Wen

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 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

Proceedings of the 21st IEEE International Conference on Mobile Data Management, 2020

Less Is Better: Unweighted Data Subsampling via Influence Function.

Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Leveraging Title-Abstract Attentive Semantics for Paper Recommendation.

Guibing Guo, Bowei Chen, Xiaoyan Zhang, Zhirong Liu, Zhenhua Dong, Xiuqiang He

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Real-Time Demonstration of an Integrated Metro-Access Network Carrying Live VR Traffic Based on Multi-Carrier Modulation and Simplified Sub-Band Coherent Detection.

Yansi Le, Huaiyu Zeng, Xu Zhou, Ning Deng, Sharief Megeed, Andy Shen, Zhenhua Dong, Zhiyong Feng, Tianhai Chang, Xiang Liu

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2019

Improving Ad Click Prediction by Considering Non-displayed Events.

Bo-Wen Yuan, Jui-Yang Hsia, Mengyuan Yang, Hong Zhu, Chih-Yao Chang, Zhenhua Dong, Chih-Jen Lin

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Uncovering download fraud activities in mobile app markets.

Yingtong Dou, Weijian Li, Zhirong Liu, Zhenhua Dong, Jiebo Luo, Philip S. Yu

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018

Hidden community identification in location-based social network via probabilistic venue sequences.

Hui Li, Ke Deng, Jiangtao Cui, Zhenhua Dong, Jianfeng Ma, Jianbin Huang

Inf. Sci., 2018

DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction.

Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He, Zhenhua Dong

CoRR, 2018

Federated Meta-Learning for Recommendation.

Fei Chen, Zhenhua Dong, Zhenguo Li, Xiuqiang He

CoRR, 2018

2017

Design Aspects of Multi-Soliton Pulses for Optical Fiber Transmission.

Vahid Aref, Zhenhua Dong, Henning Bülow

CoRR, 2017

A model predictive control based zero-sequence circulating currents elimination algorithm for parallel operating three-level T-type inverters.

Xiaodong Wang, Jianxiao Zou, Kai Li, Zhenhua Dong, Gang Zhang, Xie Chuan

Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

A unified triangle carrier based PWM strategy for three-phase N-level diode clamped inverters.

Kai Li, Chuan Xie, Min Wei, Zhenhua Dong, Mengshu Li, Josep M. Guerrero

Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

2016

PINOCCHIO: Probabilistic Influence-Based Location Selection over Moving Objects.

Meng Wang, Hui Li, Jiangtao Cui, Ke Deng, Sourav S. Bhowmick, Zhenhua Dong

IEEE Trans. Knowl. Data Eng., 2016

Phase modulation on nonlinear discrete spectrum for Nonlinear Frequency Division Multiplexed transmissions.

Tao Gui, Zhenhua Dong, Chao Lu, Alexander Ping-Kong Wai, Alan Pak Tao Lau

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2016

Elimination of zero sequence circulating current between parallel operating three-level inverters.

Kai Li, Xiaodong Wang, Zhenhua Dong, Xianzhi Wang, Josep M. Guerrero, Juan C. Vasquez, Qingsong Wang

Proceedings of the IECON 2016, 2016

2015

Optical performance monitoring in DSP-based coherent optical systems.

Zhenhua Dong, Qi Sui, Alan Pak Tao Lau, Kangping Zhong, Liangchuan Li, Zhaohui Li, Chao Lu

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2015

2014

Modulation format identification based on received signal power distributions for digital coherent receivers.

Jie Liu, Zhenhua Dong, Kangping Zhong, Alan Pak Tao Lau, Chao Lu, Yanzhao Lu

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2014

2012

In search of the ur-Wikipedia: universality, similarity, and translation in the Wikipedia inter-language link network.

Morten Warncke-Wang, Anuradha Uduwage, Zhenhua Dong, John Riedl

Proceedings of the Eighth Annual International Symposium on Wikis and Open Collaboration, 2012

War Versus Inspirational in Forrest Gump: Cultural Effects in Tagging Communities.

Zhenhua Dong, Chuan Shi, Shilad Sen, Loren G. Terveen, John Riedl

Proceedings of the Sixth International Conference on Weblogs and Social Media, 2012

2011

WP: clubhouse?: an exploration of Wikipedia's gender imbalance.

Shyong K. Lam, Anuradha Uduwage, Zhenhua Dong, Shilad Sen, David R. Musicant, Loren G. Terveen, John Riedl

Proceedings of the 7th International Symposium on Wikis and Open Collaboration, 2011