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2020 – today
- 2023
[c44]Haiyuan Zhao
, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen:
Separating Examination and Trust Bias from Click Predictions for Unbiased Relevance Ranking. WSDM 2023: 913-921- [c43]Jingsen Zhang, Xu Chen, Jiakai Tang, Weiqi Shao, Quanyu Dai, Zhenhua Dong, Rui Zhang:
Recommendation with Causality enhanced Natural Language Explanations. WWW 2023: 876-886 - [c42]Qijiong Liu, Jieming Zhu, Jiahao Wu, Tiandeng Wu, Zhenhua Dong, Xiao-Ming Wu:
FANS: Fast Non-Autoregressive Sequence Generation for Item List Continuation. WWW 2023: 3309-3318 - [c41]Chen Xu, Sirui Chen, Jun Xu, Weiran Shen, Xiao Zhang, Gang Wang, Zhenhua Dong:
P-MMF: Provider Max-min Fairness Re-ranking in Recommender System. WWW 2023: 3701-3711 - [i29]Xu Chen, Jingsen Zhang, Lei Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, Ji-Rong Wen:
REASONER: An Explainable Recommendation Dataset with Multi-aspect Real User Labeled Ground Truths Towards more Measurable Explainable Recommendation. CoRR abs/2303.00168 (2023) - [i28]Dugang Liu, Pengxiang Cheng, Zinan Lin, Xiaolian Zhang, Zhenhua Dong, Rui Zhang, Xiuqiang He, Weike Pan, Zhong Ming:
Bounding System-Induced Biases in Recommender Systems with A Randomized Dataset. CoRR abs/2303.11574 (2023) - [i27]Rui Sun, Fengwei Zhou, Zhenhua Dong, Chuanlong Xie, Lanqing Hong, Jiawei Li, Rui Zhang, Zhen Li, Zhenguo Li:
Fair-CDA: Continuous and Directional Augmentation for Group Fairness. CoRR abs/2304.00295 (2023) - [i26]Qijiong Liu, Jieming Zhu, Jiahao Wu, Tiandeng Wu, Zhenhua Dong, Xiao-Ming Wu:
FANS: Fast Non-Autoregressive Sequence Generation for Item List Continuation. CoRR abs/2304.00545 (2023) - [i25]Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong:
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction. CoRR abs/2304.00902 (2023) - 2022
- [j5]Quanyu Dai, Zhenhua Dong, Xu Chen:
Debiased recommendation with neural stratification. AI Open 3: 213-217 (2022) - [j4]Feng Zhi, Zhenhua Dong, Suri Guga, Yongbin Bao, Aru Han, Jiquan Zhang, Yulong Bao:
Rapid and Automated Mapping of Crop Type in Jilin Province Using Historical Crop Labels and the Google Earth Engine. Remote. Sens. 14(16): 4028 (2022) - [j3]Guibing Guo, Huan Zhou, Bowei Chen, Zhirong Liu, Xiao Xu, Xu Chen, Zhenhua Dong, Xiuqiang He:
IPGAN: Generating Informative Item Pairs by Adversarial Sampling. IEEE Trans. Neural Networks Learn. Syst. 33(2): 694-706 (2022) - [c40]Jian Li, Jieming Zhu, Qiwei Bi, Guohao Cai, Lifeng Shang, Zhenhua Dong, Xin Jiang, Qun Liu:
MINER: Multi-Interest Matching Network for News Recommendation. ACL (Findings) 2022: 343-352 - [c39]Shaobo Li, Xiaoguang Li, Lifeng Shang, Zhenhua Dong, Chengjie Sun, Bingquan Liu, Zhenzhou Ji, Xin Jiang, Qun Liu:
How Pre-trained Language Models Capture Factual Knowledge? A Causal-Inspired Analysis. ACL (Findings) 2022: 1720-1732 - [c38]Chen Xu, Jun Xu, Xu Chen, Zhenhua Dong, Ji-Rong Wen:
Dually Enhanced Propensity Score Estimation in Sequential Recommendation. CIKM 2022: 2260-2269 - [c37]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:
IntTower: The Next Generation of Two-Tower Model for Pre-Ranking System. CIKM 2022: 3292-3301 - [c36]Quanyu Dai, Yalei Lv, Jieming Zhu, Junjie Ye, Zhenhua Dong, Rui Zhang, Shu-Tao Xia, Ruiming Tang:
LCD: Adaptive Label Correction for Denoising Music Recommendation. CIKM 2022: 3903-3907 - [c35]Chen Xu, Jun Xu, Zhenhua Dong, Ji-Rong Wen:
Semantic Sentence Matching via Interacting Syntax Graphs. COLING 2022: 938-949 - [c34]Weijie Yu, Liang Pang, Jun Xu, Bing Su, Zhenhua Dong, Ji-Rong Wen:
Optimal Partial Transport Based Sentence Selection for Long-form Document Matching. COLING 2022: 2363-2373 - [c33]Peng Wu, Haoxuan Li, Yuhao Deng, Wenjie Hu, Quanyu Dai, Zhenhua Dong, Jie Sun, Rui Zhang, Xiao-Hua Zhou:
On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges. IJCAI 2022: 5646-5653 - [c32]Quanyu Dai, Haoxuan Li, Peng Wu, Zhenhua Dong, Xiao-Hua Zhou, Rui Zhang, Rui Zhang, Jie Sun:
A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction. KDD 2022: 252-262 - [c31]Xiao Zhang, Sunhao Dai, Jun Xu, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen:
Counteracting User Attention Bias in Music Streaming Recommendation via Reward Modification. KDD 2022: 2504-2514 - [c30]Yichao Wang, Huifeng Guo, Bo Chen, Weiwen Liu, Zhirong Liu, Qi Zhang, Zhicheng He, Hongkun Zheng, Weiwei Yao, Muyu Zhang, Zhenhua Dong, Ruiming Tang:
CausalInt: Causal Inspired Intervention for Multi-Scenario Recommendation. KDD 2022: 4090-4099 - [c29]Weijie Yu, Zhongxiang Sun, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen:
Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction. SIGIR 2022: 657-668 - [c28]Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang:
ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems. SIGIR 2022: 2692-2697 - [i24]Mengyue Yang, Guohao Cai, Furui Liu, Zhenhua Dong, Xiuqiang He, Jianye Hao, Jun Wang, Xu Chen:
Debiased Recommendation with User Feature Balancing. CoRR abs/2201.06056 (2022) - [i23]Peng Wu, Haoxuan Li, Yuhao Deng, Wenjie Hu, Quanyu Dai, Zhenhua Dong, Jie Sun, Rui Zhang, Xiao-Hua Zhou:
Causal Analysis Framework for Recommendation. CoRR abs/2201.06716 (2022) - [i22]Yan Lyu, Sunhao Dai, Peng Wu, Quanyu Dai, Yuhao Deng, Wenjie Hu, Zhenhua Dong, Jun Xu, Shengyu Zhu, Xiao-Hua Zhou:
A Semi-Synthetic Dataset Generation Framework for Causal Inference in Recommender Systems. CoRR abs/2202.11351 (2022) - [i21]Shaobo Li, Xiaoguang Li, Lifeng Shang, Zhenhua Dong, Chengjie Sun, Bingquan Liu, Zhenzhou Ji, Xin Jiang, Qun Liu:
How Pre-trained Language Models Capture Factual Knowledge? A Causal-Inspired Analysis. CoRR abs/2203.16747 (2022) - [i20]Zhenlei Wang, Xu Chen, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen:
Sequential Recommendation with Causal Behavior Discovery. CoRR abs/2204.00216 (2022) - [i19]Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen:
Unbiased Top-k Learning to Rank with Causal Likelihood Decomposition. CoRR abs/2204.00815 (2022) - [i18]Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang:
ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems. CoRR abs/2204.11165 (2022) - [i17]Weijie Yu, Zhongxiang Sun, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen:
Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction. CoRR abs/2207.04182 (2022) - [i16]Quanyu Dai, Zhenhua Dong, Xu Chen:
Debiased Recommendation with Neural Stratification. CoRR abs/2208.07281 (2022) - [i15]Zhenhua Dong, Zhe Wang, Jun Xu, Ruiming Tang, Jirong Wen:
A Brief History of Recommender Systems. CoRR abs/2209.01860 (2022) - [i14]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:
IntTower: the Next Generation of Two-Tower Model for Pre-Ranking System. CoRR abs/2210.09890 (2022) - [i13]Zhongxiang Sun, Jun Xu, Xiao Zhang, Zhenhua Dong, Ji-Rong Wen:
Law Article-Enhanced Legal Case Matching: a Model-Agnostic Causal Learning Approach. CoRR abs/2210.11012 (2022) - [i12]Lei Wang, Xu Chen, Quanyu Dai, Zhenhua Dong:
Recommendation with User Active Disclosing Willingness. CoRR abs/2211.01155 (2022) - [i11]Quanyu Dai, Haoxuan Li, Peng Wu, Zhenhua Dong, Xiao-Hua Zhou, Rui Zhang, Rui Zhang, Jie Sun:
A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction. CoRR abs/2211.06684 (2022) - 2021
- [c27]Chang Liu, Xiaoguang Li, Guohao Cai, Zhenhua Dong, Hong Zhu, Lifeng Shang:
Noninvasive Self-attention for Side Information Fusion in Sequential Recommendation. AAAI 2021: 4249-4256 - [c26]Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He:
SimpleX: A Simple and Strong Baseline for Collaborative Filtering. CIKM 2021: 1243-1252 - [c25]Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang:
Top-N Recommendation with Counterfactual User Preference Simulation. CIKM 2021: 2342-2351 - [c24]Zhenhua Dong, Xiaoming Li:
Approximate Calculation Method of Electron Transit Time in Vacuum Microelectronic Triode. CSIA (1) 2021: 399-404 - [c23]Guohao Cai, Xiaoguang Li, Quanyu Dai, Gang Wang, Zhenhua Dong, Chaoliang Zhang, Xiuqiang He, Lifeng Shang:
Dual Sequence Transformer for Query-based Interactive Recommendation. MDM 2021: 139-144 - [c22]Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming:
Mitigating Confounding Bias in Recommendation via Information Bottleneck. RecSys 2021: 351-360 - [i10]Chang Liu, Xiaoguang Li, Guohao Cai, Zhenhua Dong, Hong Zhu, Lifeng Shang:
Non-invasive Self-attention for Side Information Fusion in Sequential Recommendation. CoRR abs/2103.03578 (2021) - [i9]Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang:
Top-N Recommendation with Counterfactual User Preference Simulation. CoRR abs/2109.02444 (2021) - [i8]Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He:
SimpleX: A Simple and Strong Baseline for Collaborative Filtering. CoRR abs/2109.12613 (2021) - 2020
- [c21]Guibing Guo, Bowei Chen, Xiaoyan Zhang, Zhirong Liu, Zhenhua Dong, Xiuqiang He:
Leveraging Title-Abstract Attentive Semantics for Paper Recommendation. AAAI 2020: 67-74 - [c20]Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang:
Less Is Better: Unweighted Data Subsampling via Influence Function. AAAI 2020: 6340-6347 - [c19]Chih-Yao Chang, Xing Tang, Bo-Wen Yuan, Jui-Yang Hsia, Zhirong Liu, Zhenhua Dong, Xiuqiang He, Chih-Jen Lin:
AutoConjunction: Adaptive Model-based Feature Conjunction for CTR Prediction. MDM 2020: 202-209 - [c18]Bo-Wen Yuan, Yaxu Liu, Jui-Yang Hsia, Zhenhua Dong, Chih-Jen Lin:
Unbiased Ad Click Prediction for Position-aware Advertising Systems. RecSys 2020: 368-377 - [c17]Zhenhua Dong, Hong Zhu, Pengxiang Cheng, Xinhua Feng, Guohao Cai, Xiuqiang He, Jun Xu, Jirong Wen:
Counterfactual learning for recommender system. RecSys 2020: 568-569 - [c16]Dugang Liu, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming:
A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data. SIGIR 2020: 831-840 - [c15]Jiangxing Yu, Hong Zhu, Chih-Yao Chang, Xinhua Feng, Bo-Wen Yuan, Xiuqiang He, Zhenhua Dong:
Influence Function for Unbiased Recommendation. SIGIR 2020: 1929-1932 - [c14]Mi Luo, Fei Chen, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Jiashi Feng, Zhenguo Li:
MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection. WWW 2020: 2507-2513 - [i7]Mi Luo, Fei Chen, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Jiashi Feng, Zhenguo Li:
MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection. CoRR abs/2001.10378 (2020) - [i6]Yichao Wang, Xiangyu Zhang, Zhirong Liu, Zhenhua Dong, Xinhua Feng, Ruiming Tang, Xiuqiang He:
Personalized Re-ranking for Improving Diversity in Live Recommender Systems. CoRR abs/2004.06390 (2020)
2010 – 2019
- 2019
- [c13]Yingtong Dou, Weijian Li, Zhirong Liu, Zhenhua Dong, Jiebo Luo, Philip S. Yu:
Uncovering download fraud activities in mobile app markets. ASONAM 2019: 671-678 - [c12]Bo-Wen Yuan, Jui-Yang Hsia, Meng-Yuan Yang, Hong Zhu, Chih-Yao Chang, Zhenhua Dong, Chih-Jen Lin:
Improving Ad Click Prediction by Considering Non-displayed Events. CIKM 2019: 329-338 - [c11]Yansi Le, Huaiyu Zeng, Xu Zhou, Ning Deng, Sharief Megeed, Andy Shen, Zhenhua Dong, Zhiyong Feng, Tianhai Chang, Xiang Liu:
Real-Time Demonstration of an Integrated Metro-Access Network Carrying Live VR Traffic Based on Multi-Carrier Modulation and Simplified Sub-Band Coherent Detection. OFC 2019: 1-3 - [i5]Yingtong Dou, Weijian Li, Zhirong Liu, Zhenhua Dong, Jiebo Luo, Philip S. Yu:
Uncovering Download Fraud Activities in Mobile App Markets. CoRR abs/1907.03048 (2019) - [i4]Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang:
Less Is Better: Unweighted Data Subsampling via Influence Function. CoRR abs/1912.01321 (2019) - 2018
- [j2]Hui Li, Ke Deng, Jiangtao Cui, Zhenhua Dong, Jianfeng Ma, Jianbin Huang:
Hidden community identification in location-based social network via probabilistic venue sequences. Inf. Sci. 422: 188-203 (2018) - [i3]Fei Chen, Zhenhua Dong, Zhenguo Li, Xiuqiang He:
Federated Meta-Learning for Recommendation. CoRR abs/1802.07876 (2018) - [i2]Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He, Zhenhua Dong:
DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction. CoRR abs/1804.04950 (2018) - 2017
- [c10]Meng Wang, Hui Li, Jiangtao Cui, Ke Deng, Sourav S. Bhowmick, Zhenhua Dong:
PINOCCHIO: Probabilistic Influence-Based Location Selection over Moving Objects. ICDE 2017: 21-22 - [c9]Xiaodong Wang, Jianxiao Zou, Kai Li, Zhenhua Dong, Gang Zhang, Xie Chuan:
A model predictive control based zero-sequence circulating currents elimination algorithm for parallel operating three-level T-type inverters. IECON 2017: 583-588 - [c8]Kai Li, Chuan Xie, Min Wei, Zhenhua Dong, Mengshu Li, Josep M. Guerrero:
A unified triangle carrier based PWM strategy for three-phase N-level diode clamped inverters. IECON 2017: 726-731 - [i1]Vahid Aref, Zhenhua Dong, Henning Bülow:
Design Aspects of Multi-Soliton Pulses for Optical Fiber Transmission. CoRR abs/1701.07981 (2017) - 2016
- [j1]Meng Wang, Hui Li, Jiangtao Cui, Ke Deng, Sourav S. Bhowmick, Zhenhua Dong:
PINOCCHIO: Probabilistic Influence-Based Location Selection over Moving Objects. IEEE Trans. Knowl. Data Eng. 28(11): 3068-3082 (2016) - [c7]Kai Li, Xiaodong Wang, Zhenhua Dong, Xianzhi Wang, Josep M. Guerrero, Juan C. Vasquez, Qingsong Wang:
Elimination of zero sequence circulating current between parallel operating three-level inverters. IECON 2016: 2277-2282 - [c6]Tao Gui, Zhenhua Dong, Chao Lu, Alexander Ping-Kong Wai, Alan Pak Tao Lau:
Phase modulation on nonlinear discrete spectrum for Nonlinear Frequency Division Multiplexed transmissions. OFC 2016: 1-3 - 2015
- [c5]Zhenhua Dong, Qi Sui, Alan Pak Tao Lau, Kangping Zhong, Liangchuan Li, Zhaohui Li, Chao Lu:
Optical performance monitoring in DSP-based coherent optical systems. OFC 2015: 1-3 - 2014
- [c4]Jie Liu, Zhenhua Dong, Kangping Zhong, Alan Pak Tao Lau, Chao Lu, Yanzhao Lu:
Modulation format identification based on received signal power distributions for digital coherent receivers. OFC 2014: 1-3 - 2012
- [c3]Zhenhua Dong, Chuan Shi, Shilad Sen, Loren G. Terveen, John Riedl:
War Versus Inspirational in Forrest Gump: Cultural Effects in Tagging Communities. ICWSM 2012 - [c2]Morten Warncke-Wang, Anuradha Uduwage, Zhenhua Dong, John Riedl:
In search of the ur-Wikipedia: universality, similarity, and translation in the Wikipedia inter-language link network. WikiSym 2012: 20 - 2011
- [c1]Shyong K. Lam, Anuradha Uduwage, Zhenhua Dong, Shilad Sen, David R. Musicant, Loren G. Terveen, John Riedl:
WP: clubhouse?: an exploration of Wikipedia's gender imbalance. Int. Sym. Wikis 2011: 1-10
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last updated on 2023-05-28 01:22 CEST by the dblp team
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