Zhenhua Dong
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
107
Venues
21
Active years
2012–2026
Best venue rank
A*
Where they publish
- A*WWW16 papers
- A*SIGIR12 papers
- A*ACL11 papers
- A*KDD11 papers
- ACIKM11 papers
- A*AAAI10 papers
- ARecSys10 papers
- AWSDM3 papers
- A*EMNLP3 papers
- A*ICDE3 papers
- CIECON3 papers
- A*IJCAI2 papers
- BPAKDD2 papers
- BCOLING2 papers
- BMDM2 papers
- AICS1 paper
- A*ICLR1 paper
- ANAACL1 paper
- MulticonferenceICASSP1 paper
- AUAI1 paper
- AICWSM1 paper
Papers
107 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | REACTION: Parameter-Efficient Learning for Recommendation. | Song-Li Wu, Zhaocheng Du, Qinglin Jia, Zhenhua Dong |
| 2026 | AAAI | Length-Adaptive Interest Network for Balancing Long and Short Sequence Modeling in CTR Prediction. | Zhicheng Zhang, Zhaocheng Du, Jieming Zhu, Jiwei Tang, Fengyuan Lu, Wang Jiaheng, Song-Li Wu, Qianhui Zhu, Jingyu Li, Hai-Tao Zheng, Zhenhua Dong |
| 2026 | ACL | Benchmarking Post-Training Quantization of Large Language Models under Microscaling Floating Point Formats. | Manyi Zhang, Ji-Fu Li, Zhongao Sun, Haoli Bai, Hui-Ling Zhen, Zhenhua Dong, Xianzhi Yu |
| 2026 | ACL | Unleashing Low-Bit Inference on Ascend NPUs: A Comprehensive Evaluation of HiFloat Formats. | Pengxiang Zhao, Hui-Ling Zhen, Xing Li, Han Bao, Weizhe Lin, Zhiyuan Yang, Yu Zi Wei, Xin Wang, Mingxuan Yuan, Xianzhi Yu, Zhenhua Dong |
| 2026 | ICS | EPLoN: Exploiting Efficient Parallelism with Selective Rematerialization for Lightning Attention on Ascend NPU. | Han Bao, Zhenfeng Su, Alexander Setyaev, Stanislav Kamenev, Alexander Gneushev, Kang Zhao, Junmin Xiao, Haoran Lin, Anastasiya Bistrigova, Sergey Buzykanov, Evgeny Tetin, Guangming Tan, Boxiao Liu, Xueyi Zou, Zhenhua Dong, Constantine Korikov, Xianzhi Yu, Zhongzhe Hu |
| 2026 | KDD | FuXi-γ: Efficient Sequential Recommendation with Exponential-Power Temporal Encoder and Diagonal-Sparse Positional Mechanism. | Dezhi Yi, Wei Guo, Wenyang Cui, Wenxuan He, Huifeng Guo, Yong Liu, Zhenhua Dong, Ye Lu |
| 2026 | WWW | Optimizing Multi-Turn Interactive Recommendation Agents via Generative Intrinsic Motivation. | Xueyang Feng, Jiakai Tang, Xu Chen, Quanyu Dai, Zhenhua Dong |
| 2026 | WWW | FairFS: Addressing Deep Feature Selection Biases for Recommender System. | Xianquan Wang, Zhaocheng Du, Jieming Zhu, Qinglin Jia, Zhenhua Dong, Kai Zhang |
| 2026 | WSDM | Counteracting the Delayed Conversions in OCPC with Survival Analysis. | Leping Zhang, Chenxuan He, Xiao Zhang, Yichao Wang, Tengxiang Zhang, Zhenhua Dong, Jun Xu |
| 2025 | AAAI | AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization. | Xiao Zhang, Sunhao Dai, Jun Xu, Yong Liu, Zhenhua Dong |
| 2025 | ACL | CART: 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 |
| 2025 | ACL | Enhancing Multimodal Unified Representations for Cross Modal Generalization. | Hai Huang, Yan Xia, Shengpeng Ji, Shulei Wang, Hanting Wang, Minghui Fang, Jieming Zhu, Zhenhua Dong, Sashuai Zhou, Zhou Zhao |
| 2025 | ACL | MIRA: Empowering One-Touch AI Services on Smartphones with MLLM-based Instruction Recommendation. | Zhipeng Bian, Jieming Zhu, Xuyang Xie, Quanyu Dai, Zhou Zhao, Zhenhua Dong |
| 2025 | ACL | Expectation Confirmation Preference Optimization for Multi-Turn Conversational Recommendation Agent. | Xueyang Feng, Jingsen Zhang, Jiakai Tang, Wei Li, Guohao Cai, Xu Chen, Quanyu Dai, Yue Zhu, Zhenhua Dong |
| 2025 | ACL | MemBench: Towards More Comprehensive Evaluation on the Memory of LLM-based Agents. | Haoran Tan, Zeyu Zhang, Chen Ma, Xu Chen, Quanyu Dai, Zhenhua Dong |
| 2025 | ACL | SocialEval: Evaluating Social Intelligence of Large Language Models. | Jinfeng Zhou, Yuxuan Chen, Yihan Shi, Xuanming Zhang, Leqi Lei, Yi Feng, Zexuan Xiong, Miao Yan, Xunzhi Wang, Yaru Cao, Jianing Yin, Shuai Wang, Quanyu Dai, Zhenhua Dong, Hongning Wang, Minlie Huang |
| 2025 | CIKM | Prompt Tuning as User Inherent Profile Inference Machine. | Yusheng Lu, Zhaocheng Du, Xiangyang Li, Pengyue Jia, Yejing Wang, Weiwen Liu, Yichao Wang, Huifeng Guo, Ruiming Tang, Zhenhua Dong, Yongrui Duan, Xiangyu Zhao |
| 2025 | EMNLP | ICG: Improving Cover Image Generation via MLLM-based Prompting and Personalized Preference Alignment. | Zhipeng Bian, Jieming Zhu, Qijiong Liu, Wang Lin, Guohao Cai, Zhaocheng Du, Jiacheng Sun, Zhou Zhao, Zhenhua Dong |
| 2025 | EMNLP | Q-PRM: Adaptive Query Rewriting for Retrieval-Augmented Generation via Step-level Process Supervision. | Xiaopeng Ye, Chen Xu, Chaoliang Zhang, Zhaocheng Du, Jun Xu, Gang Wang, Zhenhua Dong |
| 2025 | EMNLP | RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation. | Sashuai Zhou, Weinan Gan, Qijiong Liu, Ke Lei, Jieming Zhu, Hai Huang, Yan Xia, Ruiming Tang, Zhenhua Dong, Zhou Zhao |
| 2025 | ICLR | Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents. | Haoyu Wang, Sunhao Dai, Haiyuan Zhao, Liang Pang, Xiao Zhang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen |
| 2025 | IJCAI | Breaking the Self-Evaluation Barrier: Reinforced Neuro-Symbolic Planning with Large Language Models. | Jie-Jing Shao, Hong-Jie You, Guohao Cai, Quanyu Dai, Zhenhua Dong, Lan-Zhe Guo |
| 2025 | KDD | KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing. | Rui Li, Quanyu Dai, Zeyu Zhang, Xu Chen, Zhenhua Dong, Ji-Rong Wen |
| 2025 | KDD | TayFCS: Towards Light Feature Combination Selection for Deep Recommender Systems. | Xianquan Wang, Zhaocheng Du, Jieming Zhu, Chuhan Wu, Qinglin Jia, Zhenhua Dong |
| 2025 | NAACL | Improving Retrospective Language Agents via Joint Policy Gradient Optimization. | Xueyang Feng, Bo Lan, Quanyu Dai, Lei Wang, Jiakai Tang, Xu Chen, Zhenhua Dong, Ji-Rong Wen |
| 2025 | WWW | RecUserSim: A Realistic and Diverse User Simulator for Evaluating Conversational Recommender Systems. | Luyu Chen, Quanyu Dai, Zeyu Zhang, Xueyang Feng, Mingyu Zhang, Pengcheng Tang, Xu Chen, Yue Zhu, Zhenhua Dong |
| 2025 | WWW | MCNet: Monotonic Calibration Networks for Expressive Uncertainty Calibration in Online Advertising. | Quanyu Dai, Jiaren Xiao, Zhaocheng Du, Jieming Zhu, Chengxiao Luo, Xiao-Ming Wu, Zhenhua Dong |
| 2025 | WWW | EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration. | Minjie Hong, Yan Xia, Zehan Wang, Jieming Zhu, Ye Wang, Sihang Cai, Xiaoda Yang, Quanyu Dai, Zhenhua Dong, Zhimeng Zhang, Zhou Zhao |
| 2025 | WWW | Few-shot LLM Synthetic Data with Distribution Matching. | Jiyuan Ren, Zhaocheng Du, Zhihao Wen, Qinglin Jia, Sunhao Dai, Chuhan Wu, Zhenhua Dong |
| 2025 | WWW | A Contextual-Aware Position Encoding for Sequential Recommendation. | Jun Yuan, Guohao Cai, Zhenhua Dong |
| 2025 | WWW | MemEngine: A Unified and Modular Library for Developing Advanced Memory of LLM-based Agents. | Zeyu Zhang, Quanyu Dai, Xu Chen, Rui Li, Zhongyang Li, Zhenhua Dong |
| 2025 | SIGIR | 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 |
| 2025 | SIGIR | LLM-Empowered Creator Simulation for Long-Term Evaluation of Recommender Systems Under Information Asymmetry. | Xiaopeng Ye, Chen Xu, Zhongxiang Sun, Jun Xu, Gang Wang, Zhenhua Dong, Ji-Rong Wen |
| 2025 | WSDM | Unifying Bias and Unfairness in Information Retrieval: New Challenges in the LLM Era. | Sunhao Dai, Chen Xu, Shicheng Xu, Liang Pang, Zhenhua Dong, Jun Xu |
| 2024 | AAAI | Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework. | Lei Wang, Xu Chen, Zhenhua Dong, Quanyu Dai |
| 2024 | ACL | 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 |
| 2024 | CIKM | 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 |
| 2024 | CIKM | 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 |
| 2024 | CIKM | 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 |
| 2024 | CIKM | Confidence-Aware Multi-Field Model Calibration. | Yuang Zhao, Chuhan Wu, Qinglin Jia, Hong Zhu, Jia Yan, Libin Zong, Linxuan Zhang, Zhenhua Dong, Muyu Zhang |
| 2024 | ICASSP | Active Explainable Recommendation with Limited Labeling Budgets. | Jingsen Zhang, Xiaohe Bo, Chenxi Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Xu Chen |
| 2024 | ICDE | Modeling User Attention in Music Recommendation. | Sunhao Dai, Ninglu Shao, Jieming Zhu, Xiao Zhang, Zhenhua Dong, Jun Xu, Quanyu Dai, Ji-Rong Wen |
| 2024 | KDD | 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 |
| 2024 | KDD | 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 |
| 2024 | KDD | 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 |
| 2024 | KDD | Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time. | Haiyuan Zhao, Guohao Cai, Jieming Zhu, Zhenhua Dong, Jun Xu, Ji-Rong Wen |
| 2024 | PAKDD | 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 |
| 2024 | RecSys | 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 |
| 2024 | RecSys | CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation. | Jieming Zhu, Mengqun Jin, Qijiong Liu, Zexuan Qiu, Zhenhua Dong, Xiu Li |
| 2024 | WWW | LightCS: Selecting Quadratic Feature Crosses in Linear Complexity. | Zhaocheng Du, Junhao Chen, Qinglin Jia, Chuhan Wu, Jieming Zhu, Zhenhua Dong, Ruiming Tang |
| 2024 | WWW | 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 |
| 2024 | WWW | 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 |
| 2024 | WWW | Multimodal Pretraining and Generation for Recommendation: A Tutorial. | Jieming Zhu, Xin Zhou, Chuhan Wu, Rui Zhang, Zhenhua Dong |
| 2023 | AAAI | Multiple Robust Learning for Recommendation. | Haoxuan Li, Quanyu Dai, Yuru Li, Yan Lyu, Zhenhua Dong, Xiao-Hua Zhou, Peng Wu |
| 2023 | AAAI | FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction. | Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong |
| 2023 | AAAI | 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 |
| 2023 | ICDE | Sequential Recommendation with User Causal Behavior Discovery. | Zhenlei Wang, Xu Chen, Rui Zhou, Quanyu Dai, Zhenhua Dong, Ji-Rong Wen |
| 2023 | KDD | ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop. | Jieming Zhu, Guohao Cai, Junjie Huang, Zhenhua Dong, Ruiming Tang, Weinan Zhang |
| 2023 | PAKDD | 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 |
| 2023 | RecSys | Gradient Matching for Categorical Data Distillation in CTR Prediction. | Cheng Wang, Jiacheng Sun, Zhenhua Dong, Ruixuan Li, Rui Zhang |
| 2023 | RecSys | Data-free Knowledge Distillation for Reusing Recommendation Models. | Cheng Wang, Jiacheng Sun, Zhenhua Dong, Jieming Zhu, Zhenguo Li, Ruixuan Li, Rui Zhang |
| 2023 | RecSys | Customer Lifetime Value Prediction: Towards the Paradigm Shift of Recommender System Objectives. | Chuhan Wu, Qinglin Jia, Zhenhua Dong, Ruiming Tang |
| 2023 | RecSys | Large Scale CVR Prediction through Hierarchical History Modeling. | Qi Zhang, Zhibin Zhang, Biao Lu, Bangzheng He, Liangbi Li, Zhenhua Dong |
| 2023 | RecSys | 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 |
| 2023 | WWW | FANS: Fast Non-Autoregressive Sequence Generation for Item List Continuation. | Qijiong Liu, Jieming Zhu, Jiahao Wu, Tiandeng Wu, Zhenhua Dong, Xiao-Ming Wu |
| 2023 | WWW | 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 |
| 2023 | WWW | Recommendation with Causality enhanced Natural Language Explanations. | Jingsen Zhang, Xu Chen, Jiakai Tang, Weiqi Shao, Quanyu Dai, Zhenhua Dong, Rui Zhang |
| 2023 | SIGIR | Law Article-Enhanced Legal Case Matching: A Causal Learning Approach. | Zhongxiang Sun, Jun Xu, Xiao Zhang, Zhenhua Dong, Ji-Rong Wen |
| 2023 | SIGIR | 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 |
| 2023 | SIGIR | Single-shot Feature Selection for Multi-task Recommendations. | Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang, Zhenhua Dong |
| 2023 | SIGIR | 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 |
| 2023 | SIGIR | Robust Causal Inference for Recommender System to Overcome Noisy Confounders. | Zhiheng Zhang, Quanyu Dai, Xu Chen, Zhenhua Dong, Ruiming Tang |
| 2023 | SIGIR | FINAL: Factorized Interaction Layer for CTR Prediction. | Jieming Zhu, Qinglin Jia, Guohao Cai, Quanyu Dai, Jingjie Li, Zhenhua Dong, Ruiming Tang, Rui Zhang |
| 2023 | UAI | 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 |
| 2023 | WSDM | 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 |
| 2022 | ACL | 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 |
| 2022 | ACL | MINER: Multi-Interest Matching Network for News Recommendation. | Jian Li, Jieming Zhu, Qiwei Bi, Guohao Cai, Lifeng Shang, Zhenhua Dong, Xin Jiang, Qun Liu |
| 2022 | CIKM | 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 |
| 2022 | CIKM | 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 |
| 2022 | CIKM | Dually Enhanced Propensity Score Estimation in Sequential Recommendation. | Chen Xu, Jun Xu, Xu Chen, Zhenhua Dong, Ji-Rong Wen |
| 2022 | COLING | Semantic Sentence Matching via Interacting Syntax Graphs. | Chen Xu, Jun Xu, Zhenhua Dong, Ji-Rong Wen |
| 2022 | COLING | Optimal Partial Transport Based Sentence Selection for Long-form Document Matching. | Weijie Yu, Liang Pang, Jun Xu, Bing Su, Zhenhua Dong, Ji-Rong Wen |
| 2022 | IJCAI | 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 |
| 2022 | KDD | 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 |
| 2022 | KDD | 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 |
| 2022 | KDD | Counteracting User Attention Bias in Music Streaming Recommendation via Reward Modification. | Xiao Zhang, Sunhao Dai, Jun Xu, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen |
| 2022 | SIGIR | ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems. | Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang |
| 2022 | SIGIR | 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 |
| 2021 | AAAI | Noninvasive Self-attention for Side Information Fusion in Sequential Recommendation. | Chang Liu, Xiaoguang Li, Guohao Cai, Zhenhua Dong, Hong Zhu, Lifeng Shang |
| 2021 | CIKM | SimpleX: A Simple and Strong Baseline for Collaborative Filtering. | Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He |
| 2021 | CIKM | Top-N Recommendation with Counterfactual User Preference Simulation. | Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang |
| 2021 | MDM | Dual Sequence Transformer for Query-based Interactive Recommendation. | Guohao Cai, Xiaoguang Li, Quanyu Dai, Gang Wang, Zhenhua Dong, Chaoliang Zhang, Xiuqiang He, Lifeng Shang |
| 2021 | RecSys | Mitigating Confounding Bias in Recommendation via Information Bottleneck. | Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming |
| 2020 | AAAI | Leveraging Title-Abstract Attentive Semantics for Paper Recommendation. | Guibing Guo, Bowei Chen, Xiaoyan Zhang, Zhirong Liu, Zhenhua Dong, Xiuqiang He |
| 2020 | AAAI | Less Is Better: Unweighted Data Subsampling via Influence Function. | Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang |
| 2020 | MDM | 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 |
| 2020 | RecSys | Counterfactual learning for recommender system. | Zhenhua Dong, Hong Zhu, Pengxiang Cheng, Xinhua Feng, Guohao Cai, Xiuqiang He, Jun Xu, Jirong Wen |
| 2020 | RecSys | Unbiased Ad Click Prediction for Position-aware Advertising Systems. | Bo-Wen Yuan, Yaxu Liu, Jui-Yang Hsia, Zhenhua Dong, Chih-Jen Lin |
| 2020 | WWW | 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 |
| 2020 | SIGIR | A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data. | Dugang Liu, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming |
| 2020 | SIGIR | Influence Function for Unbiased Recommendation. | Jiangxing Yu, Hong Zhu, Chih-Yao Chang, Xinhua Feng, Bo-Wen Yuan, Xiuqiang He, Zhenhua Dong |
| 2019 | CIKM | 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 |
| 2017 | ICDE | PINOCCHIO: Probabilistic Influence-Based Location Selection over Moving Objects. | Meng Wang, Hui Li, Jiangtao Cui, Ke Deng, Sourav S. Bhowmick, Zhenhua Dong |
| 2017 | IECON | 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 |
| 2017 | IECON | 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 |
| 2016 | IECON | 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 |
| 2012 | ICWSM | War Versus Inspirational in Forrest Gump: Cultural Effects in Tagging Communities. | Zhenhua Dong, Chuan Shi, Shilad Sen, Loren G. Terveen, John Riedl |