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- affiliation: University of Science and Technology of China, School of Computer Science and Technology, Anhui Province Key Laboratory of Big Data Analysis and Application, Hefei, China
- affiliation: University of Science and Technology of China, School of Data Science, Hefei, China
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2020 – today
- 2022
[j143]Amadu Fullah Kamara, Enhong Chen, Zhen Pan:
An ensemble of a boosted hybrid of deep learning models and technical analysis for forecasting stock prices. Inf. Sci. 594: 1-19 (2022)- [j142]Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Enhong Chen
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Estimating fund-raising performance for start-up projects from a market graph perspective. Pattern Recognit. 121: 108204 (2022) - [j141]Joya Chen, Dong Liu, Bin Luo, Xuezheng Peng, Tong Xu, Enhong Chen:
Residual objectness for imbalance reduction. Pattern Recognit. 130: 108781 (2022) - [j140]Guangyi Lv, Kun Zhang, Le Wu, Enhong Chen, Tong Xu, Qi Liu, Weidong He:
Understanding the Users and Videos by Mining a Novel Danmu Dataset. IEEE Trans. Big Data 8(2): 535-551 (2022) - [j139]Liang He, Bin Shao, Yanghua Xiao, Yatao Li, Tie-Yan Liu, Enhong Chen, Huanhuan Xia:
Neurally-Guided Semantic Navigation in Knowledge Graph. IEEE Trans. Big Data 8(3): 607-615 (2022) - [j138]Minghui Duan, Huaian Chen, Zheng Sun, Yabing Zheng, Yi Jin, Jinjin Zheng, Changan Zhu, Enhong Chen:
Quasi-Periodic Phase Coding for Long-Depth-Range 3-D Measurements of Moving Objects. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [j137]Xianwei Meng, Hao Fu, Liqun Peng, Guiquan Liu, Yang Yu, Zhong Wang, Enhong Chen:
D-LSTM: Short-Term Road Traffic Speed Prediction Model Based on GPS Positioning Data. IEEE Trans. Intell. Transp. Syst. 23(3): 2021-2030 (2022) - [j136]Runlong Yu, Qi Liu, Yuyang Ye, Mingyue Cheng, Enhong Chen, Jianhui Ma:
Collaborative List-and-Pairwise Filtering From Implicit Feedback. IEEE Trans. Knowl. Data Eng. 34(6): 2667-2680 (2022) - [j135]Yanan Wang, Tong Xu, Xin Niu, Chang Tan, Enhong Chen, Hui Xiong:
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control. IEEE Trans. Mob. Comput. 21(6): 2228-2242 (2022) - [j134]Leyan Deng, Defu Lian, Zhenya Huang, Enhong Chen:
Graph Convolutional Adversarial Networks for Spatiotemporal Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2416-2428 (2022) - [j133]Dazhong Shen, Chuan Qin, Hengshu Zhu, Tong Xu, Enhong Chen, Hui Xiong:
Joint Representation Learning with Relation-Enhanced Topic Models for Intelligent Job Interview Assessment. ACM Trans. Inf. Syst. 40(1): 15:1-15:36 (2022) - [j132]Hao Wang, Defu Lian, Hanghang Tong, Qi Liu, Zhenya Huang, Enhong Chen:
HyperSoRec: Exploiting Hyperbolic User and Item Representations with Multiple Aspects for Social-aware Recommendation. ACM Trans. Inf. Syst. 40(2): 24:1-24:28 (2022) - [j131]Dan Li, Tong Xu, Peilun Zhou, Weidong He, Yanbin Hao, Yi Zheng, Enhong Chen:
Social Context-aware Person Search in Videos via Multi-modal Cues. ACM Trans. Inf. Syst. 40(3): 52:1-52:25 (2022) - [j130]Chao Wang, Hengshu Zhu, Peng Wang, Chen Zhu, Xi Zhang, Enhong Chen, Hui Xiong:
Personalized and Explainable Employee Training Course Recommendations: A Bayesian Variational Approach. ACM Trans. Inf. Syst. 40(4): 70:1-70:32 (2022) - [c321]Kai Zhang, Kun Zhang, Mengdi Zhang, Hongke Zhao, Qi Liu, Wei Wu, Enhong Chen:
Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis. ACL (Findings) 2022: 3599-3610 - [c320]Song Cheng, Qi Liu, Enhong Chen, Kai Zhang, Zhenya Huang, Yu Yin, Xiaoqing Huang, Yu Su:
AdaptKT: A Domain Adaptable Method for Knowledge Tracing. WSDM 2022: 123-131 - [c319]Min Hou, Chang Xu, Zhi Li, Yang Liu, Weiqing Liu, Enhong Chen, Jiang Bian:
Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction. WWW 2022: 112-121 - [c318]Mingyue Cheng, Zhiding Liu, Qi Liu, Shenyang Ge, Enhong Chen:
Towards Automatic Discovering of Deep Hybrid Network Architecture for Sequential Recommendation. WWW 2022: 1923-1932 - [c317]Jin Chen, Defu Lian, Binbin Jin, Xu Huang, Kai Zheng, Enhong Chen:
Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering. WWW 2022: 1944-1954 - [c316]Jin Chen, Defu Lian, Binbin Jin, Kai Zheng, Enhong Chen:
Learning Recommenders for Implicit Feedback with Importance Resampling. WWW 2022: 1997-2005 - [c315]Zhi Zheng, Zhaopeng Qiu, Tong Xu, Xian Wu, Xiangyu Zhao, Enhong Chen, Hui Xiong:
CBR: Context Bias aware Recommendation for Debiasing User Modeling and Click Prediction✱. WWW 2022: 2268-2276 - [e4]João Gama, Tianrui Li, Yang Yu, Enhong Chen, Yu Zheng, Fei Teng:
Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13280, Springer 2022, ISBN 978-3-031-05932-2 [contents] - [e3]João Gama, Tianrui Li, Yang Yu, Enhong Chen, Yu Zheng, Fei Teng:
Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13281, Springer 2022, ISBN 978-3-031-05935-3 [contents] - [e2]João Gama, Tianrui Li, Yang Yu, Enhong Chen, Yu Zheng, Fei Teng:
Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part III. Lecture Notes in Computer Science 13282, Springer 2022, ISBN 978-3-031-05980-3 [contents] - [i85]Chao Feng, Defu Lian, Xiting Wang, Zheng Liu, Xing Xie, Enhong Chen:
Reinforcement Routing on Proximity Graph for Efficient Recommendation. CoRR abs/2201.09290 (2022) - [i84]Kai Zhang, Kun Zhang, Mengdi Zhang, Hongke Zhao, Qi Liu, Wei Wu, Enhong Chen:
Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis. CoRR abs/2203.16369 (2022) - [i83]Lin Chen, Huaian Chen, Zhixiang Wei, Xin Jin, Xiao Tan, Yi Jin, Enhong Chen:
Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation. CoRR abs/2204.03838 (2022) - [i82]Likang Wu, Hao Wang, Enhong Chen, Zhi Li, Hongke Zhao, Jianhui Ma:
Preference Enhanced Social Influence Modeling for Network-Aware Cascade Prediction. CoRR abs/2204.08229 (2022) - [i81]Kai Zhang, Qi Liu, Zhenya Huang, Mingyue Cheng, Kun Zhang, Mengdi Zhang, Wei Wu, Enhong Chen:
Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification. CoRR abs/2205.08772 (2022) - [i80]Yichao Du, Weizhi Wang, Zhirui Zhang, Boxing Chen, Tong Xu, Jun Xie, Enhong Chen:
Non-Parametric Domain Adaptation for End-to-End Speech Translation. CoRR abs/2205.11211 (2022) - [i79]Jin Chen, Defu Lian, Yucheng Li, Baoyun Wang, Kai Zheng, Enhong Chen:
Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever. CoRR abs/2205.14859 (2022) - [i78]Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen, Dacheng Tao:
Boosting Factorization Machines via Saliency-Guided Mixup. CoRR abs/2206.08661 (2022) - [i77]Shiwei Wu, Weidong He, Tong Xu, Hao Wang, Enhong Chen:
Winning the CVPR'2022 AQTC Challenge: A Two-stage Function-centric Approach. CoRR abs/2206.09597 (2022) - [i76]Xu Huang, Defu Lian, Jin Chen, Zheng Liu, Xing Xie, Enhong Chen:
Cooperative Retriever and Ranker in Deep Recommenders. CoRR abs/2206.14649 (2022) - 2021
- [j129]Lisheng Qiao, Fan Zhang, Xiaohui Huang, Kai Li, Enhong Chen:
Heterogeneous-attributes enhancement deep framework for network embedding. Frontiers Comput. Sci. 15(6): 156616 (2021) - [j128]Lin Mu, Peiquan Jin, Jie Zhao, Enhong Chen:
Detecting evolutionary stages of events on social media: A graph-kernel-based approach. Future Gener. Comput. Syst. 123: 219-232 (2021) - [j127]Sirui Zhao, Hanqing Tao, Yangsong Zhang, Tong Xu, Kun Zhang, Zhongkai Hao, Enhong Chen:
A two-stage 3D CNN based learning method for spontaneous micro-expression recognition. Neurocomputing 448: 276-289 (2021) - [j126]Lixiang Xu, Lu Bai, Jin Xiao, Qi Liu, Enhong Chen, Xiaofeng Wang, Yuanyan Tang:
Multiple graph kernel learning based on GMDH-type neural network. Inf. Fusion 66: 100-110 (2021) - [j125]Liang Ge, Enhong Chen:
Research on grain storage temperature prediction model based on improved long short-term memory. J. Comput. Methods Sci. Eng. 21(5): 1145-1154 (2021) - [j124]Lixiang Xu, Lixin Cui, Thomas Weise, Xinlu Li, Zhize Wu, Feiping Nie, Enhong Chen, Yuanyan Tang:
Semi-supervised multi-Layer convolution kernel learning in credit evaluation. Pattern Recognit. 120: 108125 (2021) - [j123]Feng Xiao, Enhong Chen, Qiang Xu, Xianguo Zhang:
ICSTrace: A Malicious IP Traceback Model for Attacking Data of the Industrial Control System. Secur. Commun. Networks 2021: 7525092:1-7525092:14 (2021) - [j122]Junliang Guo, Zhirui Zhang, Linli Xu, Boxing Chen, Enhong Chen:
Adaptive Adapters: An Efficient Way to Incorporate BERT Into Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 29: 1740-1751 (2021) - [j121]Huaian Chen, Yi Jin, Minghui Duan, Changan Zhu, Enhong Chen:
DOF: A Demand-Oriented Framework for Image Denoising. IEEE Trans. Ind. Informatics 17(8): 5369-5379 (2021) - [j120]Minghui Duan, Yi Jin, Huaian Chen, Jinjin Zheng, Changan Zhu, Enhong Chen:
Automatic 3-D Measurement Method for Nonuniform Moving Objects. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [j119]Yabing Zheng, Yi Jin, Minghui Duan, Changan Zhu, Enhong Chen:
Joint Coding Strategy of the Phase Domain and Intensity Domain for Absolute Phase Retrieval. IEEE Trans. Instrum. Meas. 70: 1-8 (2021) - [j118]Joya Chen, Dong Liu, Tong Xu, Shiwei Wu, Yifei Cheng, Enhong Chen:
Is Heuristic Sampling Necessary in Training Deep Object Detectors? IEEE Trans. Image Process. 30: 8454-8467 (2021) - [j117]Shuo Tao, Jingang Jiang, Defu Lian, Kai Zheng, Enhong Chen:
Predicting Human Mobility with Reinforcement-Learning-Based Long-Term Periodicity Modeling. ACM Trans. Intell. Syst. Technol. 12(6): 78:1-78:23 (2021) - [j116]Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Hui Xiong, Yu Su, Guoping Hu:
EKT: Exercise-Aware Knowledge Tracing for Student Performance Prediction. IEEE Trans. Knowl. Data Eng. 33(1): 100-115 (2021) - [j115]Defu Lian, Xing Xie, Enhong Chen:
Discrete Matrix Factorization and Extension for Fast Item Recommendation. IEEE Trans. Knowl. Data Eng. 33(5): 1919-1933 (2021) - [j114]Defu Lian, Xing Xie, Enhong Chen, Hui Xiong:
Product Quantized Collaborative Filtering. IEEE Trans. Knowl. Data Eng. 33(9): 3284-3296 (2021) - [j113]Qi Zhang, Hengshu Zhu, Qi Liu, Enhong Chen, Hui Xiong:
Exploiting Real-time Search Engine Queries for Earthquake Detection: A Summary of Results. ACM Trans. Inf. Syst. 39(3): 37:1-37:32 (2021) - [j112]Tong Xu, Peilun Zhou, Linkang Hu, Xiangnan He, Yao Hu, Enhong Chen:
Socializing the Videos: A Multimodal Approach for Social Relation Recognition. ACM Trans. Multim. Comput. Commun. Appl. 17(1): 23:1-23:23 (2021) - [j111]Binbin Jin, Enhong Chen, Hongke Zhao, Zhenya Huang, Qi Liu, Hengshu Zhu, Shui Yu:
Promotion of Answer Value Measurement With Domain Effects in Community Question Answering Systems. IEEE Trans. Syst. Man Cybern. Syst. 51(5): 3068-3079 (2021) - [j110]Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Han Wu, Xing Xie, Fangzhao Wu:
Multilevel Image-Enhanced Sentence Representation Net for Natural Language Inference. IEEE Trans. Syst. Man Cybern. Syst. 51(6): 3781-3795 (2021) - [j109]Zongda Wu, Guiling Li, Shigen Shen, Xinze Lian, Enhong Chen, Guandong Xu:
Constructing dummy query sequences to protect location privacy and query privacy in location-based services. World Wide Web 24(1): 25-49 (2021) - [j108]Lintao Fang, Le Zhang, Han Wu, Tong Xu, Ding Zhou, Enhong Chen:
Patent2Vec: Multi-view representation learning on patent-graphs for patent classification. World Wide Web 24(5): 1791-1812 (2021) - [c314]Zhi Li, Zhefeng Wang, Zhicheng Wei, Xiangguang Zhou, Yijun Wang, Baoxing Huai, Qi Liu, Nicholas Jing Yuan, Renbin Gong, Enhong Chen:
Cross-Oilfield Reservoir Classification via Multi-Scale Sensor Knowledge Transfer. AAAI 2021: 4215-4223 - [c313]Xin Lin, Zhenya Huang, Hongke Zhao, Enhong Chen, Qi Liu, Hao Wang, Shijin Wang:
HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem. AAAI 2021: 4232-4240 - [c312]Guifeng Wang, Longbing Cao, Hongke Zhao, Qi Liu, Enhong Chen:
Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty. AAAI 2021: 4418-4426 - [c311]Hanqing Tao, Shiwei Tong, Kun Zhang, Tong Xu, Qi Liu, Enhong Chen, Min Hou:
Ideography Leads Us to the Field of Cognition: A Radical-Guided Associative Model for Chinese Text Classification. AAAI 2021: 13898-13906 - [c310]Kun Zhang, Le Wu, Guangyi Lv, Meng Wang, Enhong Chen, Shulan Ruan:
Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic Matching. AAAI 2021: 14411-14419 - [c309]Yuting Ning, Ye Liu, Zhenya Huang, Haoyang Bi, Qi Liu, Enhong Chen, Dan Zhang:
Stable and Diverse: A Unified Approach for Computerized Adaptive Testing. CCIS 2021: 61-65 - [c308]Zhe Zhang, Tong Xu, Le Zhang, Yichao Du, Hui Xiong, Enhong Chen:
Knowledge Powered Cooperative Semantic Fusion for Patent Classification. CICAI 2021: 111-122 - [c307]Kun Zhang, Guangyi Lv, Meng Wang, Enhong Chen:
DGA-Net: Dynamic Gaussian Attention Network for Sentence Semantic Matching. CICAI (2) 2021: 203-214 - [c306]Wei Cao, Kun Zhang, Hanqing Tao, Weidong He, Qi Liu, Enhong Chen, Jianhui Ma:
Exploiting Visual Context and Multi-grained Semantics for Social Text Emotion Recognition. CICAI 2021: 783-795 - [c305]Min Hou, Chang Xu, Yang Liu, Weiqing Liu, Jiang Bian, Le Wu, Zhi Li, Enhong Chen, Tie-Yan Liu:
Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion. CIKM 2021: 700-709 - [c304]Kai Zhang, Hao Qian, Qi Liu, Zhiqiang Zhang, Jun Zhou, Jianhui Ma, Enhong Chen:
SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation. CIKM 2021: 3627-3631 - [c303]Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Jun Wang, Mengdi Zhang, Enhong Chen:
Learning the Implicit Semantic Representation on Graph-Structured Data. DASFAA (1) 2021: 3-19 - [c302]Yijun Wang, Tianxin Wei, Qi Liu, Enhong Chen:
Unpaired Multimodal Neural Machine Translation via Reinforcement Learning. DASFAA (2) 2021: 168-185 - [c301]Yichao Du, Pengfei Luo, Xudong Hong, Tong Xu, Zhe Zhang, Chao Ren, Yi Zheng, Enhong Chen:
Inheritance-Guided Hierarchical Assignment for Clinical Automatic Diagnosis. DASFAA (3) 2021: 461-477 - [c300]Dan Liu, Mengge Du, Xiaoxi Li, Ya Li, Enhong Chen:
Cross Attention Augmented Transducer Networks for Simultaneous Translation. EMNLP (1) 2021: 39-55 - [c299]Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Jinzhu Li, Sheng Zhao, Enhong Chen, Tie-Yan Liu:
Lightspeech: Lightweight and Fast Text to Speech with Neural Architecture Search. ICASSP 2021: 5699-5703 - [c298]Siqi Lei, Wei Huang, Shiwei Tong, Qi Liu, Zhenya Huang, Enhong Chen, Yu Su:
Consistency-aware Multi-modal Network for Hierarchical Multi-label Classification in Online Education System. ICBK 2021: 426-433 - [c297]Shulan Ruan, Yong Zhang, Kun Zhang, Yanbo Fan, Fan Tang, Qi Liu, Enhong Chen:
DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image Synthesis. ICCV 2021: 13940-13949 - [c296]Mingyue Cheng, Fajie Yuan, Qi Liu, Xin Xin, Enhong Chen:
Learning Transferable User Representations with Sequential Behaviors via Contrastive Pre-training. ICDM 2021: 51-60 - [c295]Jie Huang, Qi Liu, Fei Wang, Zhenya Huang, Songtao Fang, Runze Wu, Enhong Chen, Yu Su, Shijin Wang:
Group-Level Cognitive Diagnosis: A Multi-Task Learning Perspective. ICDM 2021: 210-219 - [c294]Ye Huang, Wei Huang, Shiwei Tong, Zhenya Huang, Qi Liu, Enhong Chen, Jianhui Ma, Liang Wan, Shijin Wang:
STAN: Adversarial Network for Cross-domain Question Difficulty Prediction. ICDM 2021: 220-229 - [c293]Huijie Liu, Han Wu, Le Zhang, Runlong Yu, Ye Liu, Chunli Liu, Qi Liu, Enhong Chen:
Technological Knowledge Flow Forecasting through A Hierarchical Interactive Graph Neural Network. ICDM 2021: 389-398 - [c292]Linkang Hu, Weidong He, Le Zhang, Tong Xu, Hui Xiong, Enhong Chen:
Detecting Highlighted Video Clips Through Emotion-Enhanced Audio-Visual Cues. ICME 2021: 1-6 - [c291]Li Wang, Binbin Jin, Zhenya Huang, Hongke Zhao, Defu Lian, Qi Liu, Enhong Chen:
Preference-Adaptive Meta-Learning for Cold-Start Recommendation. IJCAI 2021: 1607-1614 - [c290]Dazhong Shen, Chuan Qin, Chao Wang, Hengshu Zhu, Enhong Chen, Hui Xiong:
Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness. IJCAI 2021: 2964-2970 - [c289]Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chengqiang Lu, Chuanren Liu, Enhong Chen:
GraphMI: Extracting Private Graph Data from Graph Neural Networks. IJCAI 2021: 3749-3755 - [c288]Miao Chen, Chao Wang, Chuan Qin, Tong Xu, Jianhui Ma, Enhong Chen, Hui Xiong:
A Trend-aware Investment Target Recommendation System with Heterogeneous Graph. IJCNN 2021: 1-8 - [c287]Chao Ren, Le Zhang, Lintao Fang, Tong Xu, Zhefeng Wang, Senchao Yuan, Enhong Chen:
Ontological Concept Structure Aware Knowledge Transfer for Inductive Knowledge Graph Embedding. IJCNN 2021: 1-8 - [c286]Yanqing An, Qi Liu, Han Wu, Kai Zhang, Linan Yue, Mingyue Cheng, Hongke Zhao, Enhong Chen:
LawyerPAN: A Proficiency Assessment Network for Trial Lawyers. KDD 2021: 5-13 - [c285]Zhenya Huang, Xin Lin, Hao Wang, Qi Liu, Enhong Chen, Jianhui Ma, Yu Su, Wei Tong:
DisenQNet: Disentangled Representation Learning for Educational Questions. KDD 2021: 696-704 - [c284]Qi Liu, Jin Zhang, Defu Lian, Yong Ge, Jianhui Ma, Enhong Chen:
Online Additive Quantization. KDD 2021: 1098-1108 - [c283]Shuanghong Shen, Qi Liu, Enhong Chen, Zhenya Huang, Wei Huang, Yu Yin, Yu Su, Shijin Wang:
Learning Process-consistent Knowledge Tracing. KDD 2021: 1452-1460 - [c282]Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen:
Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems. KDD 2021: 1830-1840 - [c281]Le Zhang, Ding Zhou, Hengshu Zhu, Tong Xu, Rui Zha, Enhong Chen, Hui Xiong:
Attentive Heterogeneous Graph Embedding for Job Mobility Prediction. KDD 2021: 2192-2201 - [c280]Yuqiang Zhou, Qi Liu, Jinze Wu, Fei Wang, Zhenya Huang, Wei Tong, Hui Xiong, Enhong Chen, Jianhui Ma:
Modeling Context-aware Features for Cognitive Diagnosis in Student Learning. KDD 2021: 2420-2428 - [c279]Qiming Hao, Le Zhang, Rui Zha, Ding Zhou, Zhe Zhang, Tong Xu, Enhong Chen:
Urban Crowd Density Prediction Based on Multi-relational Graph. MDM 2021: 39-48 - [c278]Shiwei Wu, Joya Chen, Tong Xu, Liyi Chen, Lingfei Wu, Yao Hu, Enhong Chen:
Linking the Characters: Video-oriented Social Graph Generation via Hierarchical-cumulative GCN. ACM Multimedia 2021: 4716-4724 - [c277]Yifan Xu, Sirui Zhao, Huaying Tang, Xinglong Mao, Tong Xu, Enhong Chen:
FAMGAN: Fine-grained AUs Modulation based Generative Adversarial Network for Micro-Expression Generation. ACM Multimedia 2021: 4813-4817 - [c276]Runlong Yu, Yuyang Ye, Qi Liu, Zihan Wang, Chunfeng Yang, Yucheng Hu, Enhong Chen:
XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction. PAKDD (2) 2021: 436-447 - [c275]Gangwei Jiang, Hao Wang, Jin Chen, Haoyu Wang, Defu Lian, Enhong Chen:
xLightFM: Extremely Memory-Efficient Factorization Machine. SIGIR 2021: 337-346 - [c274]Mingyue Cheng, Fajie Yuan, Qi Liu, Shenyang Ge, Zhi Li, Runlong Yu, Defu Lian, Senchao Yuan, Enhong Chen:
Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement. SIGIR 2021: 575-584 - [c273]Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen, Senchao Yuan:
Fight Fire with Fire: Towards Robust Recommender Systems via Adversarial Poisoning Training. SIGIR 2021: 1074-1083 - [c272]Yixiao Ma, Shiwei Tong, Ye Liu, Likang Wu, Qi Liu, Enhong Chen, Wei Tong, Zi Yan:
Enhanced Representation Learning for Examination Papers with Hierarchical Document Structure. SIGIR 2021: 2156-2160 - [c271]Jinze Wu, Zhenya Huang, Qi Liu, Defu Lian, Hao Wang, Enhong Chen, Haiping Ma, Shijin Wang:
Federated Deep Knowledge Tracing. WSDM 2021: 662-670 - [c270]Kai Zhang, Hao Qian, Qing Cui, Qi Liu, Longfei Li, Jun Zhou, Jianhui Ma, Enhong Chen:
Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction. WSDM 2021: 984-992 - [c269]Jinze Wu, Qi Liu, Zhenya Huang, Yuting Ning, Hao Wang, Enhong Chen, Jinfeng Yi, Bowen Zhou:
Hierarchical Personalized Federated Learning for User Modeling. WWW 2021: 957-968 - [c268]Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Baoxing Huai, Tongzhu Liu, Enhong Chen:
Drug Package Recommendation via Interaction-aware Graph Induction. WWW 2021: 1284-1295 - [i75]Hui Zhong, Zaiyi Chen, Chuan Qin, Zai Huang, Vincent W. Zheng, Tong Xu, Enhong Chen:
Adam revisited: a weighted past gradients perspective. CoRR abs/2101.00238 (2021) - [i74]Haoyang Bi, Haiping Ma, Zhenya Huang, Yu Yin, Qi Liu, Enhong Chen, Yu Su, Shijin Wang:
Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing. CoRR abs/2101.05986 (2021) - [i73]Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Jun Wang, Mengdi Zhang, Enhong Chen:
Learning the Implicit Semantic Representation on Graph-Structured Data. CoRR abs/2101.06471 (2021) - [i72]Yichao Du, Pengfei Luo, Xudong Hong, Tong Xu, Zhe Zhang, Chao Ren, Yi Zheng, Enhong Chen:
Inheritance-guided Hierarchical Assignment for Clinical Automatic Diagnosis. CoRR abs/2101.11374 (2021) - [i71]Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Baoxing Huai, Tongzhu Liu, Enhong Chen:
Drug Package Recommendation via Interaction-aware Graph Induction. CoRR abs/2102.03577 (2021) - [i70]Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Jinzhu Li, Sheng Zhao, Enhong Chen, Tie-Yan Liu:
LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search. CoRR abs/2102.04040 (2021) - [i69]