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2020 – today
- 2024
[j41]Bing Lv
, Junji Jiang, Likang Wu, Hongke Zhao:
Team formation in large organizations: A deep reinforcement learning approach. Decis. Support Syst. 187: 114343 (2024)- [j40]Mingyue Cheng, Qi Liu, Wenyu Zhang, Zhiding Liu, Hongke Zhao, Enhong Chen:
A general tail item representation enhancement framework for sequential recommendation. Frontiers Comput. Sci. 18(6): 186333 (2024) - [j39]Xi Zhang, Dehu Yin, Li Tang, Hongke Zhao:
Does academic engagement with industry come at a cost for early career scientists? Evidence from high-tech enterprises' Ph.D. funding programs. Inf. Process. Manag. 61(2): 103669 (2024) - [j38]Lei Zhang, Sibo Liu, Haipeng Yang, Zihao Chen, Hongke Zhao:
MOREM: An evolutionary multitasking optimization algorithm for multi-objective recommendations. Inf. Sci. 678: 120921 (2024) - [j37]Han Wu, Guanqi Zhu, Qi Liu, Hengshu Zhu, Hao Wang, Hongke Zhao, Chuanren Liu, Enhong Chen, Hui Xiong:
A Multi-Aspect Neural Tensor Factorization Framework for Patent Litigation Prediction. IEEE Trans. Big Data 10(1): 35-54 (2024) - [j36]Lei Zhang, Huabin Zhang, Zihao Chen, Sibo Liu, Haipeng Yang, Hongke Zhao:
A Multi-Population Based Evolutionary Algorithm for Many-Objective Recommendations. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1969-1982 (2024) - [j35]Chuang Zhao, Hongke Zhao, Xiaomeng Li, Ming He, Jiahui Wang, Jianping Fan:
Cross-Domain Recommendation via Progressive Structural Alignment. IEEE Trans. Knowl. Data Eng. 36(6): 2401-2415 (2024) - [j34]Chuang Zhao, Hongke Zhao, Xiaofang Zhou, Xiaomeng Li:
Enhancing Precision Drug Recommendations via In-Depth Exploration of Motif Relationships. IEEE Trans. Knowl. Data Eng. 36(12): 8164-8178 (2024) - [j33]Xin Lin, Zhenya Huang, Hongke Zhao, Enhong Chen, Qi Liu, Defu Lian, Xin Li, Hao Wang:
Learning Relation-Enhanced Hierarchical Solver for Math Word Problems. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13830-13844 (2024) - [j32]Chuang Zhao, Hongke Zhao, Hengshu Zhu, Zhenya Huang, Nan Feng, Enhong Chen, Hui Xiong:
Bi-Discriminator Domain Adversarial Neural Networks With Class-Level Gradient Alignment. IEEE Trans. Syst. Man Cybern. Syst. 54(9): 5283-5295 (2024) - [j31]Lei Zhang, Wuji Zhang, Likang Wu, Ming He, Hongke Zhao:
SHGCN: Socially Enhanced Heterogeneous Graph Convolutional Network for Multi-behavior Prediction. ACM Trans. Web 18(1): 4:1-4:27 (2024) - [c39]Zhijun Dong, Likang Wu, Kai Zhang, Ye Liu, Yanghai Zhang, Zhi Li, Hongke Zhao, Enhong Chen:
FZR: Enhancing Knowledge Transfer via Shared Factors Composition in Zero-Shot Relational Learning. CIKM 2024: 497-507 - [c38]Zhichen Xiang, Hongke Zhao, Chuang Zhao, Ming He, Jianping Fan:
Performative Debias with Fair-exposure Optimization Driven by Strategic Agents in Recommender Systems. KDD 2024: 3507-3517 - [i21]Zhong Guan, Likang Wu, Hongke Zhao, Ming He, Jianpin Fan:
Enhancing Collaborative Semantics of Language Model-Driven Recommendations via Graph-Aware Learning. CoRR abs/2406.13235 (2024) - [i20]Zhong Guan, Hongke Zhao, Likang Wu, Ming He, Jianpin Fan:
LangTopo: Aligning Language Descriptions of Graphs with Tokenized Topological Modeling. CoRR abs/2406.13250 (2024) - [i19]Zipeng Liu, Likang Wu, Ming He, Zhong Guan, Hongke Zhao, Nan Feng:
Dr.E Bridges Graphs with Large Language Models through Words. CoRR abs/2406.15504 (2024) - [i18]Chuang Zhao, Hongke Zhao, Ming He, Xiaomeng Li, Jianping Fan:
Cross-domain Transfer of Valence Preferences via a Meta-optimization Approach. CoRR abs/2406.16494 (2024) - [i17]Zhichen Xiang, Hongke Zhao, Chuang Zhao, Ming He, Jianping Fan:
Performative Debias with Fair-exposure Optimization Driven by Strategic Agents in Recommender Systems. CoRR abs/2406.17475 (2024) - [i16]Hongke Zhao, Songming Zheng, Likang Wu, Bowen Yu, Jing Wang:
LANE: Logic Alignment of Non-tuning Large Language Models and Online Recommendation Systems for Explainable Reason Generation. CoRR abs/2407.02833 (2024) - [i15]Xinyu Li, Chuang Zhao, Hongke Zhao, Likang Wu, Ming He:
GANPrompt: Enhancing Robustness in LLM-Based Recommendations with GAN-Enhanced Diversity Prompts. CoRR abs/2408.09671 (2024) - [i14]Chuang Zhao, Xing Su, Ming He, Hongke Zhao, Jianping Fan, Xiaomeng Li:
Collaborative Knowledge Fusion: A Novel Approach for Multi-task Recommender Systems via LLMs. CoRR abs/2410.20642 (2024) - 2023
- [j30]Hongke Zhao, Chuang Zhao, Xi Zhang, Nanlin Liu, Hengshu Zhu, Qi Liu, Hui Xiong:
An Ensemble Learning Approach with Gradient Resampling for Class-Imbalance Problems. INFORMS J. Comput. 35(4): 747-763 (2023) - [j29]Xi Zhang, Yihang Cheng, Juan Liu, Hongke Zhao, Dongming Xu, Yulong Li:
Lender retention of online prosocial lending: a self-determination perspective. Internet Res. 33(3): 1079-1113 (2023) - [j28]Junji Jiang, Likang Wu, Hongke Zhao, Hengshu Zhu, Wei Zhang:
Forecasting movements of stock time series based on hidden state guided deep learning approach. Inf. Process. Manag. 60(3): 103328 (2023) - [j27]Jiahui Wang, Likang Wu, Hongke Zhao, Ning Jia:
Multi-view enhanced zero-shot node classification. Inf. Process. Manag. 60(6): 103479 (2023) - [j26]Ming He, Yan Chen, Hongke Zhao, Qi Liu, Le Wu, Yu Cui, Guihua Zeng, Guiquan Liu:
Composing Like an Ancient Chinese Poet: Learn to Generate Rhythmic Chinese Poetry. J. Comput. Sci. Technol. 38(6): 1272-1287 (2023) - [j25]Cheng Shang, Hongke Zhao, Meili Wang, XiaoLong Wang, Yu Jiang, Qiang Gao:
Individual identification of cashmere goats via method of fusion of multiple optimization. Comput. Animat. Virtual Worlds 34(2) (2023) - [j24]Lei Zhang, Huabin Zhang, Sibo Liu, Chao Wang, Hongke Zhao:
A Community Division-Based Evolutionary Algorithm for Large-Scale Multi-Objective Recommendations. IEEE Trans. Emerg. Top. Comput. Intell. 7(5): 1470-1483 (2023) - [j23]Changlin Li, Shuai Lin, Honglei Zhang, Hongke Zhao, Lishan Liu, Ning Jia:
A Sequence and Network Embedding Method for Bus Arrival Time Prediction Using GPS Trajectory Data Only. IEEE Trans. Intell. Transp. Syst. 24(5): 5024-5038 (2023) - [j22]Likang Wu, Hongke Zhao, Zhi Li, Zhenya Huang, Qi Liu, Enhong Chen:
Learning the Explainable Semantic Relations via Unified Graph Topic-Disentangled Neural Networks. ACM Trans. Knowl. Discov. Data 17(8): 110:1-110:23 (2023) - [j21]Hongke Zhao, Yihang Cheng, Xi Zhang, Hengshu Zhu, Qi Liu, Hui Xiong, Wei Zhang:
What is Market Talking About? Market-Oriented Prospect Analysis for Entrepreneur Fundraising. IEEE Trans. Knowl. Data Eng. 35(6): 6489-6503 (2023) - [j20]Shiwei Zhao, Runze Wu, Jianrong Tao, Manhu Qu, Minghao Zhao, Changjie Fan, Hongke Zhao:
perCLTV: A General System for Personalized Customer Lifetime Value Prediction in Online Games. ACM Trans. Inf. Syst. 41(1): 23:1-23:29 (2023) - [j19]Zhenya Huang, Binbin Jin, Hongke Zhao, Qi Liu, Defu Lian, Tengfei Bao, Enhong Chen:
Personal or General? A Hybrid Strategy with Multi-factors for News Recommendation. ACM Trans. Inf. Syst. 41(2): 44:1-44:29 (2023) - [c37]Junji Jiang, Hongke Zhao, Ming He, Likang Wu, Kai Zhang, Jianping Fan:
Knowledge-Aware Cross-Semantic Alignment for Domain-Level Zero-Shot Recommendation. CIKM 2023: 965-975 - [c36]Chuang Zhao, Xinyu Li, Ming He, Hongke Zhao, Jianping Fan:
Sequential Recommendation via an Adaptive Cross-domain Knowledge Decomposition. CIKM 2023: 3453-3463 - [c35]Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen:
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification. IJCAI 2023: 2361-2369 - [c34]Likang Wu, Zhi Li, Hongke Zhao, Zhefeng Wang, Qi Liu, Baoxing Huai, Nicholas Jing Yuan, Enhong Chen:
Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation. KDD 2023: 2618-2628 - [c33]Chuang Zhao, Hongke Zhao, Ming He, Jian Zhang, Jianping Fan:
Cross-domain recommendation via user interest alignment. WWW 2023: 887-896 - [i13]Chuang Zhao, Hongke Zhao, Ming He, Jian Zhang, Jianping Fan:
Cross-domain recommendation via user interest alignment. CoRR abs/2301.11467 (2023) - [i12]Likang Wu, Zhi Li, Hongke Zhao, Zhefeng Wang, Qi Liu, Baoxing Huai, Nicholas Jing Yuan, Enhong Chen:
Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation. CoRR abs/2306.08487 (2023) - [i11]Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen:
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification. CoRR abs/2308.08563 (2023) - 2022
- [j18]Qixiang Shao, Runlong Yu, Hongke Zhao, Chunli Liu, Mengyi Zhang, Hongmei Song, Qi Liu:
Toward intelligent financial advisors for identifying potential clients: A multitask perspective. Big Data Min. Anal. 5(1): 64-78 (2022) - [j17]Xi Zhang, Xiaopei Liu, Xianhai Wang, Hongke Zhao, Wei Zhang:
Exploring the effects of social capital on crowdfunding performance: A holistic analysis from the empirical and predictive views. Comput. Hum. Behav. 126: 107011 (2022) - [j16]Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Enhong Chen:
Estimating fund-raising performance for start-up projects from a market graph perspective. Pattern Recognit. 121: 108204 (2022) - [j15]Xi Zhang, Xianhai Wang, Hongke Zhao, Patricia Ordóñez de Pablos, Yongqiang Sun, Hui Xiong:
Correction to: An effectiveness analysis of altmetrics indices for different levels of artificial intelligence publications. Scientometrics 127(3): 1657 (2022) - [j14]Lei Zhang, Xinpeng Wu, Hongke Zhao, Fan Cheng, Qi Liu:
Personalized Recommendation in P2P Lending Based on Risk-Return Management: A Multi-Objective Perspective. IEEE Trans. Big Data 8(4): 1141-1154 (2022) - [j13]Hongke Zhao, Xinpeng Wu, Chuang Zhao, Lei Zhang, Haiping Ma, Fan Cheng:
CoEA: A Cooperative-Competitive Evolutionary Algorithm for Bidirectional Recommendations. IEEE Trans. Evol. Comput. 26(1): 28-42 (2022) - [c32]Chuang Zhao, Hongke Zhao, Runze Wu, Qilin Deng, Yu Ding, Jianrong Tao, Changjie Fan:
Multi-Dimensional Prediction of Guild Health in Online Games: A Stability-Aware Multi-Task Learning Approach. AAAI 2022: 4371-4378 - [c31]Lei Zhang, Wang Xiang, Chuang Zhao, Hongke Zhao, Rui Li, Runze Wu:
Co-promotion Predictions of Financing Market and Sales Market: A Cooperative-Competitive Attention Approach. AAAI 2022: 9040-9047 - [c30]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 - [c29]Dehu Yin, Xi Zhang, Hongke Zhao:
Understanding and predicting innovative potential of scholars based on deep learning method. PACIS 2022: 219 - [c28]Likang Wu, Hao Wang, Enhong Chen, Zhi Li, Hongke Zhao, Jianhui Ma:
Preference Enhanced Social Influence Modeling for Network-Aware Cascade Prediction. SIGIR 2022: 2704-2708 - [c27]Jinquan Hang, Zheng Dong, Hongke Zhao, Xin Song, Peng Wang, Hengshu Zhu:
Outside In: Market-aware Heterogeneous Graph Neural Network for Employee Turnover Prediction. WSDM 2022: 353-362 - [c26]Chuang Zhao, Hongke Zhao, Yong Ge, Runze Wu, Xudong Shen:
Winning Tracker: A New Model for Real-time Winning Prediction in MOBA Games. WWW 2022: 3387-3395 - [i10]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) - [i9]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) - 2021
- [j12]Yihang Cheng, Xi Zhang, Xiaojiong Wang, Hongke Zhao, Yao Yu, Xianhai Wang, Patricia Ordóñez de Pablos:
Rethinking the Development of Technology-Enhanced Learning and the Role of Cognitive Computing. Int. J. Semantic Web Inf. Syst. 17(1): 67-96 (2021) - [j11]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) - [c25]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 - [c24]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 - [c23]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 - [c22]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 - [c21]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 - [i8]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) - [i7]Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Enhong Chen:
Estimating Fund-Raising Performance for Start-up Projects from a Market Graph Perspective. CoRR abs/2105.12918 (2021) - 2020
- [j10]Huan Liu, Lina Yao, Qinghua Zheng, Minnan Luo, Hongke Zhao, Yanzhang Lyu:
Dual-stream generative adversarial networks for distributionally robust zero-shot learning. Inf. Sci. 519: 407-422 (2020) - [j9]Xiaofei Chao, Guoying Sun, Hongke Zhao, Min Li, Dongjian He:
Identification of Apple Tree Leaf Diseases Based on Deep Learning Models. Symmetry 12(7): 1065 (2020) - [j8]Guifeng Wang, Qi Liu, Hongke Zhao, Chuanren Liu, Tong Xu, Enhong Chen:
Product Supply Optimization for Crowdfunding Campaigns. IEEE Trans. Big Data 6(4): 741-756 (2020) - [j7]Hongke Zhao, Binbin Jin, Qi Liu, Yong Ge, Enhong Chen, Xi Zhang, Tong Xu:
Voice of Charity: Prospecting the Donation Recurrence & Donor Retention in Crowdfunding. IEEE Trans. Knowl. Data Eng. 32(8): 1652-1665 (2020) - [c20]Yang Liu, Qi Liu, Hongke Zhao, Zhen Pan, Chuanren Liu:
Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach. AAAI 2020: 2128-2135 - [c19]Likang Wu, Zhi Li, Hongke Zhao, Zhen Pan, Qi Liu, Enhong Chen:
Estimating Early Fundraising Performance of Innovations via Graph-Based Market Environment Model. AAAI 2020: 6396-6403 - [c18]Xin Wei, Wei He, Xi Zhang, Chuang Zhao, Hongke Zhao:
A Machine Learning Method for Measuring Information Disclosure in Sharing Economy Platforms. ICIS 2020 - [c17]Zhi Li, Bo Wu, Qi Liu, Likang Wu, Hongke Zhao, Tao Mei:
Learning the Compositional Visual Coherence for Complementary Recommendations. IJCAI 2020: 3536-3543 - [i6]Kai Zhang, Hongke Zhao, Qi Liu, Zhen Pan, Enhong Chen:
A Dynamic and Cooperative Tracking System for Crowdfunding. CoRR abs/2002.00847 (2020) - [i5]Zhi Li, Bo Wu, Qi Liu, Likang Wu, Hongke Zhao, Tao Mei:
Learning the Compositional Visual Coherence for Complementary Recommendations. CoRR abs/2006.04380 (2020)
2010 – 2019
- 2019
- [j6]Lisheng Qiao, Hongke Zhao, Xiaohui Huang, Kai Li, Enhong Chen:
A Structure-Enriched Neural Network for network embedding. Expert Syst. Appl. 117: 300-311 (2019) - [j5]Xi Zhang, Xianhai Wang, Hongke Zhao, Patricia Ordóñez de Pablos, Yongqiang Sun, Hui Xiong:
An effectiveness analysis of altmetrics indices for different levels of artificial intelligence publications. Scientometrics 119(3): 1311-1344 (2019) - [c16]Binbin Jin, Hongke Zhao, Enhong Chen, Qi Liu, Yong Ge:
Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective. AAAI 2019: 4023-4030 - [c15]Hanqing Tao, Shiwei Tong, Hongke Zhao, Tong Xu, Binbin Jin, Qi Liu:
A Radical-Aware Attention-Based Model for Chinese Text Classification. AAAI 2019: 5125-5132 - [c14]Kai Zhang, Hefu Zhang, Qi Liu, Hongke Zhao, Hengshu Zhu, Enhong Chen:
Interactive Attention Transfer Network for Cross-Domain Sentiment Classification. AAAI 2019: 5773-5780 - [c13]Lei Zhang, Xin Zhang, Fan Cheng, Xiaoyan Sun, Hongke Zhao:
Personalized Recommendation for Crowdfunding Platform: A Multi-objective Approach. CEC 2019: 3316-3324 - [c12]Mingyue Cheng, Runlong Yu, Qi Liu, Vincent W. Zheng, Hongke Zhao, Hefu Zhang, Enhong Chen:
Alpha-Beta Sampling for Pairwise Ranking in One-Class Collaborative Filtering. ICDM 2019: 1000-1005 - [c11]Qi Liu, Shiwei Tong, Chuanren Liu, Hongke Zhao, Enhong Chen, Haiping Ma, Shijin Wang:
Exploiting Cognitive Structure for Adaptive Learning. KDD 2019: 627-635 - [i4]Qi Liu, Shiwei Tong, Chuanren Liu, Hongke Zhao, Enhong Chen, Haiping Ma, Shijin Wang:
Exploiting Cognitive Structure for Adaptive Learning. CoRR abs/1905.12470 (2019) - [i3]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. CoRR abs/1906.00156 (2019) - [i2]Likang Wu, Zhi Li, Hongke Zhao, Zhen Pan, Qi Liu, Enhong Chen:
Estimating Early Fundraising Performance of Innovations via Graph-based Market Environment Model. CoRR abs/1912.06767 (2019) - 2018
- [j4]Hefu Zhang, Hongke Zhao, Qi Liu, Tong Xu, Enhong Chen, Xunpeng Huang:
Finding potential lenders in P2P lending: A Hybrid Random Walk Approach. Inf. Sci. 432: 376-391 (2018) - [j3]Qi Liu, Hongke Zhao, Le Wu, Zhi Li, En-Hong Chen:
Illuminating Recommendation by Understanding the Explicit Item Relations. J. Comput. Sci. Technol. 33(4): 739-755 (2018) - [j2]Hongke Zhao, Qi Liu, Hengshu Zhu, Yong Ge, Enhong Chen, Yan Zhu, Junping Du:
A Sequential Approach to Market State Modeling and Analysis in Online P2P Lending. IEEE Trans. Syst. Man Cybern. Syst. 48(1): 21-33 (2018) - [c10]Qi Liu, Han Wu, Yuyang Ye, Hongke Zhao, Chuanren Liu, Dongfang Du:
Patent Litigation Prediction: A Convolutional Tensor Factorization Approach. IJCAI 2018: 5052-5059 - [c9]Zhi Li, Hongke Zhao, Qi Liu, Zhenya Huang, Tao Mei, Enhong Chen:
Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors. KDD 2018: 1734-1743 - [i1]Zhi Li, Hongke Zhao, Qi Liu, Zhenya Huang, Tao Mei, Enhong Chen:
Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors. CoRR abs/1808.01075 (2018) - 2017
- [j1]Hongke Zhao, Yong Ge, Qi Liu, Guifeng Wang, Enhong Chen, Hefu Zhang:
P2P Lending Survey: Platforms, Recent Advances and Prospects. ACM Trans. Intell. Syst. Technol. 8(6): 72:1-72:28 (2017) - [c8]Zhenya Huang, Qi Liu, Enhong Chen, Hongke Zhao, Mingyong Gao, Si Wei, Yu Su, Guoping Hu:
Question Difficulty Prediction for READING Problems in Standard Tests. AAAI 2017: 1352-1359 - [c7]Qi Liu, Guifeng Wang, Hongke Zhao, Chuanren Liu, Tong Xu, Enhong Chen:
Enhancing Campaign Design in Crowdfunding: A Product Supply Optimization Perspective. IJCAI 2017: 695-702 - [c6]Hongke Zhao, Hefu Zhang, Yong Ge, Qi Liu, Enhong Chen, Huayu Li, Le Wu:
Tracking the Dynamics in Crowdfunding. KDD 2017: 625-634 - [c5]Huayu Li, Yong Ge, Hengshu Zhu, Hui Xiong, Hongke Zhao:
Prospecting the Career Development of Talents: A Survival Analysis Perspective. KDD 2017: 917-925 - 2016
- [c4]Yan Zhu, Hengshu Zhu, Qi Liu, Enhong Chen, Hong Li, Hongke Zhao:
Exploring the Procrastination of College Students: A Data-Driven Behavioral Perspective. DASFAA (1) 2016: 258-273 - [c3]Hongke Zhao, Qi Liu, Yong Ge, Ruoyan Kong, Enhong Chen:
Group Preference Aggregation: A Nash Equilibrium Approach. ICDM 2016: 679-688 - [c2]Hongke Zhao, Qi Liu, Guifeng Wang, Yong Ge, Enhong Chen:
Portfolio Selections in P2P Lending: A Multi-Objective Perspective. KDD 2016: 2075-2084 - 2014
- [c1]Hongke Zhao, Le Wu, Qi Liu, Yong Ge, Enhong Chen:
Investment Recommendation in P2P Lending: A Portfolio Perspective with Risk Management. ICDM 2014: 1109-1114
Coauthor Index
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