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ORCIDQi Liu 0003
Person information
- 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
Other persons with the same name
- Qi Liu — disambiguation page
- Qi Liu 0001
![[0000-0002-8485-3582]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-8485-3582")
— Edinburgh Napier University, School of Computer, UK (and 2 more) - Qi Liu 0002 — Hubei University for Nationalities, Department of Mathematics, Enshi, China
- Qi Liu 0004 — Xi'an University of Science and Technology, School of Energy, China
- Qi Liu 0005 — National University of Singapore, Department of Electrical and Computer Engineering, Singapore (and 1 more)
- Qi Liu 0006 — Shanghai Jiao Tong University, School of Biomedical Engineering, China
- Qi Liu 0007 — Tsinghua University, State Key Laboratory of Automotive Safety and Energy / Department of Automotive Engineering, Beijing, China
- Qi Liu 0008 — Virginia Tech, Blacksburg, VA, USA
- Qi Liu 0009 — Carleton University, Department of Systems and Computer Engineering, Ottawa, ON, Canada
- Qi Liu 0010 — Chinese Academy of Sciences, Institute of Microelectronics, Beijing, China (and 1 more)
- Qi Liu 0011 — China University of Petroleum, College of Mechanical and Electronic Engineering, Qingdao, China
- Qi Liu 0012 — Mount Sinai Hospital, New York, NY, USA (and 1 more)
- Qi Liu 0013 — Hangzhou Dianzi University, Smart City Research Center of Zhejiang Province, China (and 1 more)
- Qi Liu 0014 — Northeastern University, School of Information Science and Engineering, Shenyang, China
- Qi Liu 0015 — Zhengzhou University, School of Software Technology, China
- Qi Liu 0016 — Hainan University, State Key Laboratory of Marine Resource Utilization in South China Sea / School of Information and Communication Engineering, Haikou, China
- Qi Liu 0017 — Lehigh University, Bethlehem, PA, USA (and 1 more)
- Qi Liu 0018 — Shanghai Jiao Tong University, MoE Key Lab of Artificial Intelligence, Shanghai, China (and 1 more)
- Qi Liu 0019 — Tongji University, College of Life Science and Biotechnology, Shanghai, China
- Qi Liu 0020 — Beijing Institute of Technology, School of Mechanical Engineering, Beijing, China
- Qi Liu 0021 — Beijing Institute of Technology, School of Mathematics and Statistics, Beijing, China
- Qi Liu 0022 — University of Illinois at Urbana-Champaign, Department of Mathematics, Urbana, IL, USA
- Qi Liu 0023 — Karlsruhe Institute of Technology, Institute for Automation and Applied Informatics, Eggenstein-Leopoldshafen, Germany
- Qi Liu 0024 — Vanderbilt University Medical Center, Department of Biostatistics, Nashville, TN, USA (and 2 more)
- Qi Liu 0025 — China University of Geosciences, School of Economics and Management, Wuhan, China
- Qi Liu 0026 — Southeast University, School of Transportation, Nanjing, China
- Qi Liu 0027 — Harbin Institute of Technology, Department of Control Science and Engineering, Shenzhen, China
- Qi Liu 0028 — Sun Yat-Sen University, School of Mathematics, Guangzhou, China
- Qi Liu 0029 — Shandong University, School of Information Science and Engineering, Qingdao, China
- Qi Liu 0030 — Southeast University, School of Energy and Environment,, Nanjing, China
- Qi Liu 0031 — Southeast University, National Mobile Communications Research Laboratory, Nanjing, China
- Qi Liu 0032 — Harbin Institute of Technology, State Key Laboratory of Robotics and System, Harbin, China
- Qi Liu 0033 — Shenyang Agriculture University, College of the Land and the Environment, Shenyang, China (and 1 more)
- Qi Liu 0034 — Zhejiang Normal University, College of Mathematics and Computer Science, Jinhua, China
- Qi Liu 0035 — Huangshan University, School of Information Engineering, Huangshan, China (and 2 more)
- Qi Liu 0036 — Guangdong University of Technology, School of Information Engineering, Department of Electromechanical Engineering, Guangzhou, China
- Qi Liu 0037 — University of Chinese Academy of Sciences, College of Earth and Planetary Sciences, Beijing, China (and 1 more)
- Qi Liu 0038 — University of Science and Technology of China, School of Earth and Space Sciences, Hefei, China
- Qi Liu 0039 — Chinese Academy of Agricultural Sciences, Beijing, China
- Qi Liu 0040 — Beijing University of Civil Engineering and Architecture, School of Mechanical-Electronic and Vehicle Engineering, Beijing, China
- Qi Liu 0041 — University of Science and Technology Beijing, School of Computer and Communication Engineering, USTB-EEasyTech Joint Lab of Artificial Intelligence, Beijing, China
- Qi Liu 0042 — City University of Hong Kong, Department of Electrical Engineering, Laboratory for Computational Neuroscience, Hong Kong
- Qi Liu 0043 — New York University, Department of Civil and Urban Engineering, New York, NY, USA
- Qi Liu 0044 — State Grid Xuzhou Power Supply Company, Xuzhou, China (and 1 more)
- Qi Liu 0045 — Sichuan University, Business School, Chengdu, China
- Qi Liu 0046 — Sichuan University, School of Electrical Engineering and Information, Chengdu, China
- Qi Liu 0047 — Xi'an Jiaotong University, School of Management, Key Lab of the Ministry of Education for Process Control and Efficiency Engineering, Xi'an, China
- Qi Liu 0048 — Chinese Academy of Sciences, Beijing Institute of Genomics, Beijing, China
- Qi Liu 0049 — University of Hong Kong, Department of Computer Science, Hong Kong (and 2 more)
- Qi Liu 0050 — Tencent, WeChat Search Application Department, Shenzhen, China
- Qi Liu 0051 — Universitat Politècnica de Catalunya, Department of Mathematics, Barcelona, Spain
- Qi Liu 0052 — Unsupervised Inc., Boulder, CO, USA (and 2 more)
- Qi Liu 0053 — East China Jiaotong University, School of Information Engineering, Nanchang, China
- Qi Liu 0054 — Northwestern Polytechnical University, School of Electronics and Information, Xi'an, China (and 1 more)
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2020 – today
- 2024
[j81]Yu Su, Shuanghong Shen, Linbo Zhu, Le Wu, Zhenya Huang, Zeyu Cheng, Qi Liu, Shijin Wang:
Global and local neural cognitive modeling for student performance prediction. Expert Syst. Appl. 237(Part C): 121637 (2024)- [j80]Ruijun Sun, Hanqin Tao, Yanmin Chen, Qi Liu:
HACAN: a hierarchical answer-aware and context-aware network for question generation. Frontiers Comput. Sci. 18(5) (2024) - [j79]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) - [j78]Shulan Ruan, Kun Zhang, Le Wu, Tong Xu, Qi Liu, Enhong Chen:
Color Enhanced Cross Correlation Net for Image Sentiment Analysis. IEEE Trans. Multim. 26: 4097-4109 (2024) - [j77]Yanmin Chen, Enhong Chen, Kun Zhang, Qi Liu, Ruijun Sun:
A relation-aware representation approach for the question matching system. World Wide Web (WWW) 27(2): 17 (2024) - [c206]Zhe Yang, Qi Liu, Kai Zhang, Shiwei Tong, Enhong Chen:
GAP: A Grammar and Position-Aware Framework for Efficient Recognition of Multi-Line Mathematical Formulas. WSDM 2024: 901-910 - [i73]Zaixi Zhang, Qingyong Hu, Yang Yu, Weibo Gao, Qi Liu:
FedGT: Federated Node Classification with Scalable Graph Transformer. CoRR abs/2401.15203 (2024) - 2023
- [j76]Lei Zhang, Yutong Liu, Haipeng Yang, Fan Cheng, Qi Liu, Xingyi Zhang:
Overlapping community-based particle swarm optimization algorithm for influence maximization in social networks. CAAI Trans. Intell. Technol. 8(3): 893-913 (2023) - [j75]Wenlong Tian, Qi Liu, Ruixuan Li, Zhiyong Xu, Yan Zhang, Yongfeng Huang:
A Blockchain-Based Secure Searching Strategy for Metadata in Mobile Edge Computing. IEEE Internet Things J. 10(22): 19795-19809 (2023) - [j74]Jia-Yu Liu, Fei Wang, Haiping Ma, Zhenya Huang, Qi Liu, En-Hong Chen, Yu Su:
A Probabilistic Framework for Temporal Cognitive Diagnosis in Online Learning Systems. J. Comput. Sci. Technol. 38(6): 1203-1222 (2023) - [j73]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) - [j72]Wei Huang, Tong Xiao, Qi Liu, Zhenya Huang, Jianhui Ma, Enhong Chen:
HMNet: a hierarchical multi-modal network for educational video concept prediction. Int. J. Mach. Learn. Cybern. 14(9): 2913-2924 (2023) - [j71]Lei Zhang, Kaicong Ma, Haipeng Yang, Cheng Zhang, Haiping Ma, Qi Liu:
A Search Space Reduction-Based Progressive Evolutionary Algorithm for Influence Maximization in Social Networks. IEEE Trans. Comput. Soc. Syst. 10(5): 2385-2399 (2023) - [j70]Jun Wang, Yu Yang, Qi Liu, Zheng Fang, Shujuan Sun, Yabo Xu:
An Empirical Study of User Engagement in Influencer Marketing on Weibo and WeChat. IEEE Trans. Comput. Soc. Syst. 10(6): 3228-3240 (2023) - [j69]Weiwei Cao, Gang Yuan, Qi Liu, Chengtao Peng, Jing Xie, Xiaodong Yang, Xinye Ni, Jian Zheng:
ICL-Net: Global and Local Inter-Pixel Correlations Learning Network for Skin Lesion Segmentation. IEEE J. Biomed. Health Informatics 27(1): 145-156 (2023) - [j68]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) - [j67]Ye Liu, Han Wu, Zhenya Huang, Hao Wang, Yuting Ning, Jianhui Ma, Qi Liu, Enhong Chen:
TechPat: Technical Phrase Extraction for Patent Mining. ACM Trans. Knowl. Discov. Data 17(9): 129:1-129:31 (2023) - [j66]Kai Zhang, Qi Liu, Hao Qian, Biao Xiang, Qing Cui, Jun Zhou, Enhong Chen:
EATN: An Efficient Adaptive Transfer Network for Aspect-Level Sentiment Analysis. IEEE Trans. Knowl. Data Eng. 35(1): 377-389 (2023) - [j65]Hao Wang, Defu Lian, Hanghang Tong, Qi Liu, Zhenya Huang, Enhong Chen:
Decoupled Representation Learning for Attributed Networks. IEEE Trans. Knowl. Data Eng. 35(3): 2430-2444 (2023) - [j64]Hanqing Tao, Guanqi Zhu, Enhong Chen, Shiwei Tong, Kun Zhang, Tong Xu, Qi Liu, Yew-Soon Ong:
Learning From Ideography and Labels: A Schema-Aware Radical-Guided Associative Model for Chinese Text Classification. IEEE Trans. Knowl. Data Eng. 35(6): 6043-6057 (2023) - [j63]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) - [j62]Shuanghong Shen, Enhong Chen, Qi Liu, Zhenya Huang, Wei Huang, Yu Yin, Yu Su, Shijin Wang:
Monitoring Student Progress for Learning Process-Consistent Knowledge Tracing. IEEE Trans. Knowl. Data Eng. 35(8): 8213-8227 (2023) - [j61]Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yu Yin, Shijin Wang, Yu Su:
NeuralCD: A General Framework for Cognitive Diagnosis. IEEE Trans. Knowl. Data Eng. 35(8): 8312-8327 (2023) - [j60]Wei Huang, Enhong Chen, Qi Liu, Hui Xiong, Zhenya Huang, Shiwei Tong, Dan Zhang:
HmcNet: A General Approach for Hierarchical Multi-Label Classification. IEEE Trans. Knowl. Data Eng. 35(9): 8713-8728 (2023) - [j59]Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chee-Kong Lee, Enhong Chen:
Model Inversion Attacks Against Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35(9): 8729-8741 (2023) - [j58]Fei Wang, Zhenya Huang, Qi Liu, Enhong Chen, Yu Yin, Jianhui Ma, Shijin Wang:
Dynamic Cognitive Diagnosis: An Educational Priors-Enhanced Deep Knowledge Tracing Perspective. IEEE Trans. Learn. Technol. 16(3): 306-323 (2023) - [j57]Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Meng Wang:
LadRa-Net: Locally Aware Dynamic Reread Attention Net for Sentence Semantic Matching. IEEE Trans. Neural Networks Learn. Syst. 34(2): 853-866 (2023) - [j56]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) - [j55]Qi Liu, Jinze Wu, Zhenya Huang, Hao Wang, Yuting Ning, Ming Chen, Enhong Chen, Jinfeng Yi, Bowen Zhou:
Federated User Modeling from Hierarchical Information. ACM Trans. Inf. Syst. 41(2): 46:1-46:33 (2023) - [j54]Liyang He, Zhenya Huang, Enhong Chen, Qi Liu, Shiwei Tong, Hao Wang, Defu Lian, Shijin Wang:
An Efficient and Robust Semantic Hashing Framework for Similar Text Search. ACM Trans. Inf. Syst. 41(4): 91:1-91:31 (2023) - [c205]Jiayu Liu, Zhenya Huang, ChengXiang Zhai, Qi Liu:
Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning. AAAI 2023: 4497-4506 - [c204]Yang Yu, Qi Liu, Likang Wu, Runlong Yu, Sanshi Lei Yu, Zaixi Zhang:
Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense. AAAI 2023: 4854-4863 - [c203]Ye Liu, Kai Zhang, Zhenya Huang, Kehang Wang, Yanghai Zhang, Qi Liu, Enhong Chen:
Enhancing Hierarchical Text Classification through Knowledge Graph Integration. ACL (Findings) 2023: 5797-5810 - [c202]Xin Jin, Qi Liu, Linan Yue, Ye Liu, Lili Zhao, Weibo Gao, Zheng Gong, Kai Zhang, Haoyang Bi:
Diagnosis Then Aggregation: An Adaptive Ensemble Strategy for Keyphrase Extraction. CICAI (1) 2023: 566-578 - [c201]Yuting Hong, Shiwei Tong, Wei Huang, Yan Zhuang, Qi Liu, Enhong Chen, Xin Li, Yuanjing He:
Search-Efficient Computerized Adaptive Testing. CIKM 2023: 773-782 - [c200]Minghui Shan, Yixiao Ma, Shulan Ruan, Zhi Cao, Shiwei Tong, Qi Liu, Yu Su, Shijin Wang:
PaperLM: A Pre-trained Model for Hierarchical Examination Paper Representation Learning. CIKM 2023: 2178-2187 - [c199]Sanshi Lei Yu, Qi Liu, Fei Wang, Yang Yu, Enhong Chen:
Federated News Recommendation with Fine-grained Interpolation and Dynamic Clustering. CIKM 2023: 3073-3082 - [c198]Guanhao Zhao, Zhenya Huang, Yan Zhuang, Jiayu Liu, Qi Liu, Zhiding Liu, Jinze Wu, Enhong Chen:
Simulating Student Interactions with Two-stage Imitation Learning for Intelligent Educational Systems. CIKM 2023: 3423-3432 - [c197]Zaixi Zhang, Qi Liu, Zhicai Wang, Zepu Lu, Qingyong Hu:
Backdoor Defense via Deconfounded Representation Learning. CVPR 2023: 12228-12238 - [c196]Wenqiang He, Mingyue Cheng, Qi Liu, Zhi Li:
ShapeWordNet: An Interpretable Shapelet Neural Network for Physiological Signal Classification. DASFAA (4) 2023: 353-369 - [c195]Kehang Wang, Qi Liu, Kai Zhang, Ye Liu, Hanqing Tao, Zhenya Huang, Enhong Chen:
Class-Dynamic and Hierarchy-Constrained Network for Entity Linking. DASFAA (2) 2023: 622-638 - [c194]Runlong Yu, Qi Liu, Yuyang Ye, Mingyue Cheng, Enhong Chen, Jianhui Ma:
Collaborative List-and-Pairwise Filtering from Implicit Feedback : Extended Abstract. ICDE 2023: 3801-3802 - [c193]Zaixi Zhang, Yaosen Min, Shuxin Zheng, Qi Liu:
Molecule Generation For Target Protein Binding with Structural Motifs. ICLR 2023 - [c192]Zaixi Zhang, Qi Liu:
Learning Subpocket Prototypes for Generalizable Structure-based Drug Design. ICML 2023: 41382-41398 - [c191]Jun Yu, Yingshuai Zheng, Shulan Ruan, Qi Liu, Zhiyuan Cheng, Jinze Wu:
Actor-Multi-Scale Context Bidirectional Higher Order Interactive Relation Network for Spatial-Temporal Action Localization. IJCAI 2023: 1676-1685 - [c190]Fangzhou Yao, Qi Liu, Min Hou, Shiwei Tong, Zhenya Huang, Enhong Chen, Jing Sha, Shijin Wang:
Exploiting Non-Interactive Exercises in Cognitive Diagnosis. IJCAI 2023: 2397-2405 - [c189]Jiayu Liu, Zhenya Huang, Zhiyuan Ma, Qi Liu, Enhong Chen, Tianhuang Su, Haifeng Liu:
Guiding Mathematical Reasoning via Mastering Commonsense Formula Knowledge. KDD 2023: 1477-1488 - [c188]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 - [c187]Bihan Xu, Zhenya Huang, Jiayu Liu, Shuanghong Shen, Qi Liu, Enhong Chen, Jinze Wu, Shijin Wang:
Learning Behavior-oriented Knowledge Tracing. KDD 2023: 2789-2800 - [c186]Runlong Yu, Xiang Xu, Yuyang Ye, Qi Liu, Enhong Chen:
Cognitive Evolutionary Search to Select Feature Interactions for Click-Through Rate Prediction. KDD 2023: 3151-3161 - [c185]Zaixi Zhang, Zepu Lu, Zhongkai Hao, Marinka Zitnik, Qi Liu:
Full-Atom Protein Pocket Design via Iterative Refinement. NeurIPS 2023 - [c184]Weibo Gao, Hao Wang, Qi Liu, Fei Wang, Xin Lin, Linan Yue, Zheng Zhang, Rui Lv, Shijin Wang:
Leveraging Transferable Knowledge Concept Graph Embedding for Cold-Start Cognitive Diagnosis. SIGIR 2023: 983-992 - [c183]Longhu Qin, Jiayu Liu, Zhenya Huang, Kai Zhang, Qi Liu, Binbin Jin, Enhong Chen:
A Mathematical Word Problem Generator with Structure Planning and Knowledge Enhancement. SIGIR 2023: 1750-1754 - [c182]Yujie Chen, Runlong Yu, Qi Liu, Enhong Chen, Zhenya Huang:
Using Entropy for Group Sampling in Pairwise Ranking from implicit feedback. SIGIR 2023: 2496-2500 - [c181]Yu Yin, Le Dai, Zhenya Huang, Shuanghong Shen, Fei Wang, Qi Liu, Enhong Chen, Xin Li:
Tracing Knowledge Instead of Patterns: Stable Knowledge Tracing with Diagnostic Transformer. WWW 2023: 855-864 - [c180]Mingyue Cheng, Qi Liu, Zhiding Liu, Zhi Li, Yucong Luo, Enhong Chen:
FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification. WWW 2023: 1437-1445 - [c179]Yin Gu, Kai Zhang, Qi Liu, Xin Lin, Zhenya Huang, Enhong Chen:
MassNE: Exploring Higher-Order Interactions with Marginal Effect for Massive Battle Outcome Prediction. WWW 2023: 2710-2718 - [i72]Yuting Ning, Jiayu Liu, Longhu Qin, Tong Xiao, Shangzi Xue, Zhenya Huang, Qi Liu, Enhong Chen, Jinze Wu:
A Novel Approach for Auto-Formulation of Optimization Problems. CoRR abs/2302.04643 (2023) - [i71]Wenqiang He, Mingyue Cheng, Qi Liu, Zhi Li:
ShapeWordNet: An Interpretable Shapelet Neural Network for Physiological Signal Classification. CoRR abs/2302.05021 (2023) - [i70]Jiayu Liu, Zhenya Huang, Chengxiang Zhai, Qi Liu:
Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning. CoRR abs/2302.05717 (2023) - [i69]Mingyue Cheng, Qi Liu, Zhiding Liu, Zhi Li, Yucong Luo, Enhong Chen:
FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification. CoRR abs/2302.09818 (2023) - [i68]Mingyue Cheng, Qi Liu, Zhiding Liu, Hao Zhang, Rujiao Zhang, Enhong Chen:
TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders. CoRR abs/2303.00320 (2023) - [i67]Zaixi Zhang, Qi Liu, Zhicai Wang, Zepu Lu, Qingyong Hu:
Backdoor Defense via Deconfounded Representation Learning. CoRR abs/2303.06818 (2023) - [i66]Shuanghong Shen, Enhong Chen, Bihan Xu, Qi Liu, Zhenya Huang, Linbo Zhu, Yu Su:
Quiz-based Knowledge Tracing. CoRR abs/2304.02413 (2023) - [i65]Zaixi Zhang, Qi Liu, Chee-Kong Lee, Chang-Yu Hsieh, Enhong Chen:
An Equivariant Generative Framework for Molecular Graph-Structure Co-Design. CoRR abs/2304.12436 (2023) - [i64]Zaixi Zhang, Qi Liu:
Learning Subpocket Prototypes for Generalizable Structure-based Drug Design. CoRR abs/2305.13997 (2023) - [i63]Likang Wu, Zhi Zheng, Zhaopeng Qiu, Hao Wang, Hongchao Gu, Tingjia Shen, Chuan Qin, Chen Zhu, Hengshu Zhu, Qi Liu, Hui Xiong, Enhong Chen:
A Survey on Large Language Models for Recommendation. CoRR abs/2305.19860 (2023) - [i62]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) - [i61]Yan Zhuang, Qi Liu, Yuting Ning, Weizhe Huang, Rui Lv, Zhenya Huang, Guanhao Zhao, Zheng Zhang, Qingyang Mao, Shijin Wang, Enhong Chen:
Efficiently Measuring the Cognitive Ability of LLMs: An Adaptive Testing Perspective. CoRR abs/2306.10512 (2023) - [i60]Zaixi Zhang, Jiaxian Yan, Qi Liu, Enhong Chen:
A Systematic Survey in Geometric Deep Learning for Structure-based Drug Design. CoRR abs/2306.11768 (2023) - [i59]Qi Liu, Zheng Gong, Zhenya Huang, Chuanren Liu, Hengshu Zhu, Zhi Li, Enhong Chen, Hui Xiong:
Multi-Dimensional Ability Diagnosis for Machine Learning Algorithms. CoRR abs/2307.07134 (2023) - [i58]Jin Chen, Zheng Liu, Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, Defu Lian, Enhong Chen:
When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities. CoRR abs/2307.16376 (2023) - [i57]Jiatong Li, Qi Liu, Fei Wang, Jiayu Liu, Zhenya Huang, Enhong Chen:
Identifiable Cognitive Diagnosis with Encoder-decoder for Modelling Students' Performance. CoRR abs/2309.00300 (2023) - [i56]Linan Yue, Qi Liu, Yichao Du, Weibo Gao, Ye Liu, Fangzhou Yao:
FedJudge: Federated Legal Large Language Model. CoRR abs/2309.08173 (2023) - [i55]Junzhe Jiang, Shang Qu, Mingyue Cheng, Qi Liu:
Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling. CoRR abs/2309.10435 (2023) - [i54]Yang Yu, Qi Liu, Kai Zhang, Yuren Zhang, Chao Song, Min Hou, Yuqing Yuan, Zhihao Ye, Zaixi Zhang, Sanshi Lei Yu:
AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking. CoRR abs/2310.09706 (2023) - [i53]Hao Zhang, Mingyue Cheng, Qi Liu, Zhiding Liu, Enhong Chen:
Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems. CoRR abs/2311.00388 (2023) - [i52]Ziyang Xiang, Zaixi Zhang, Qi Liu:
Sparse Attention-Based Neural Networks for Code Classification. CoRR abs/2311.06575 (2023) - [i51]Weibo Gao, Qi Liu, Hao Wang, Linan Yue, Haoyang Bi, Yin Gu, Fangzhou Yao, Zheng Zhang, Xin Li, Yuanjing He:
Zero-1-to-3: Domain-level Zero-shot Cognitive Diagnosis via One Batch of Early-bird Students towards Three Diagnostic Objectives. CoRR abs/2312.13434 (2023) - 2022
- [j53]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) - [j52]Qi Liu, Jingkun Wang, Mengying Zuo, Weiwei Cao, Jian Zheng, Hui Zhao, Jing Xie:
NCRNet: Neighborhood Context Refinement Network for skin lesion segmentation. Comput. Biol. Medicine 146: 105545 (2022) - [j51]Xianfeng Liang, Shuheng Shen, Enhong Chen, Jinchang Liu, Qi Liu, Yifei Cheng, Zhen Pan:
Accelerating local SGD for non-IID data using variance reduction. Frontiers Comput. Sci. 17(2): 172311 (2022) - [j50]Chang-Yang Wu, Xin Lin, Zhenya Huang, Yu Yin, Jia-Yu Liu, Qi Liu, Gang Zhou:
Clause-level Relationship-aware Math Word Problems Solver. Int. J. Autom. Comput. 19(5): 425-438 (2022) - [j49]Jian-Fu Zhu, Zhongkai Hao, Qi Liu, Yu Yin, Chengqiang Lu, Zhenya Huang, En-Hong Chen:
Towards Exploring Large Molecular Space: An Efficient Chemical Genetic Algorithm. J. Comput. Sci. Technol. 37(6): 1464-1477 (2022) - [j48]Huijie Liu, Han Wu, Le Zhang, Runlong Yu, Ye Liu, Chunli Liu, Minglei Li, Qi Liu, Enhong Chen:
A hierarchical interactive multi-channel graph neural network for technological knowledge flow forecasting. Knowl. Inf. Syst. 64(7): 1723-1757 (2022) - [j47]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) - [j46]Wei Cao, Kun Zhang, Shulan Ruan, Hanqing Tao, Sirui Zhao, Hao Wang, Qi Liu, Enhong Chen:
Causal Narrative Comprehension: A New Perspective for Emotion Cause Extraction. IEEE Trans. Affect. Comput. 13(4): 1743-1758 (2022) - [j45]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) - [j44]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) - [j43]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) - [j42]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) - [c178]Jin Zhang, Qi Liu, Defu Lian, Zheng Liu, Le Wu, Enhong Chen:
Anisotropic Additive Quantization for Fast Inner Product Search. AAAI 2022: 4354-4362 - [c177]Yan Zhuang, Qi Liu, Zhenya Huang, Zhi Li, Shuanghong Shen, Haiping Ma:
Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education. AAAI 2022: 4734-4742 - [c176]Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Cheekong Lee:
ProtGNN: Towards Self-Explaining Graph Neural Networks. AAAI 2022: 9127-9135 - [c175]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 - [c174]Zihang Tang, Hao Wang, Weibo Gao, Zhenya Huang, Qi Liu, Jun Yu:
Dependency and Association Enhanced Finding Similar Exercises in Online Education System. CCIS 2022: 31-39 - [c173]Ming Chen, Jinze Wu, Yu Yin, Zhenya Huang, Qi Liu, Enhong Chen:
Dynamic Clustering Federated Learning for Non-IID Data. CICAI (3) 2022: 119-131 - [c172]Xin Zhang, Qi Liu, Wei Huang, Weidong He, Tong Xiao, Ye Huang:
Following the Lecturer: Hierarchical Knowledge Concepts Prediction for Educational Videos. CICAI (2) 2022: 159-170 - [c171]Junzhe Jiang, Mingyue Cheng, Qi Liu, Zhi Li, Enhong Chen:
Nested Named Entity Recognition from Medical Texts: An Adaptive Shared Network Architecture with Attentive CRF. CICAI (3) 2022: 248-259 - [c170]Lili Zhao, Linan Yue, Yanqing An, Yuren Zhang, Jun Yu, Qi Liu, Enhong Chen:
CPEE: Civil Case Judgment Prediction centering on the Trial Mode of Essential Elements. CIKM 2022: 2691-2700 - [c169]Hang Zhang, Hao Wang, Guifeng Wang, Jiayu Liu, Qi Liu:
A Hyperbolic-to-Hyperbolic User Representation with Multi-aspect for Social Recommendation. CIKM 2022: 4667-4671 - [c168]Zheng Gong, Shiwei Tong, Han Wu, Qi Liu, Hanqing Tao, Wei Huang, Runlong Yu:
Tipster: A Topic-Guided Language Model for Topic-Aware Text Segmentation. DASFAA (3) 2022: 213-221 - [c167]Yang Yu, Fangzhao Wu, Chuhan Wu, Jingwei Yi, Qi Liu:
Tiny-NewsRec: Effective and Efficient PLM-based News Recommendation. EMNLP 2022: 5478-5489 - [c166]Ruijun Sun, Zhi Li, Qi Liu, Zhefeng Wang, Xinyu Duan, Baoxing Huai, Nicholas Jing Yuan:
Multi-Sentence Matching via Exploiting List-level Semantics Expansion. ICKG 2022: 249-256 - [c165]Jiayu Liu, Zhenya Huang, Xin Lin, Qi Liu, Jianhui Ma, Enhong Chen:
A Cognitive Solver with Autonomously Knowledge Learning for Reasoning Mathematical Answers. ICDM 2022: 269-278 - [c164]Zhiding Liu, Mingyue Cheng, Zhi Li, Qi Liu, Enhong Chen:
One Person, One Model - Learning Compound Router for Sequential Recommendation. ICDM 2022: 289-298 - [c163]Guanqi Zhu, Hanqing Tao, Han Wu, Liyi Chen, Ye Liu, Qi Liu, Enhong Chen:
Text Classification via Learning Semantic Dependency and Association. IJCNN 2022: 1-8 - [c162]Jiatong Li, Fei Wang, Qi Liu, Mengxiao Zhu, Wei Huang, Zhenya Huang, Enhong Chen, Yu Su, Shijin Wang:
HierCDF: A Bayesian Network-based Hierarchical Cognitive Diagnosis Framework. KDD 2022: 904-913 - [c161]Shiwei Tong, Jiayu Liu, Yuting Hong, Zhenya Huang, Le Wu, Qi Liu, Wei Huang, Enhong Chen, Dan Zhang:
Incremental Cognitive Diagnosis for Intelligent Education. KDD 2022: 1760-1770 - [c160]Linan Yue, Qi Liu, Yichao Du, Yanqing An, Li Wang, Enhong Chen:
DARE: Disentanglement-Augmented Rationale Extraction. NeurIPS 2022 - [c159]Zaixi Zhang, Qi Liu, Qingyong Hu, Chee-Kong Lee:
Hierarchical Graph Transformer with Adaptive Node Sampling. NeurIPS 2022 - [c158]Hanqing Tao, Guanqi Zhu, Tong Xu, Qi Liu, Enhong Chen:
Teaching Text Classification Models Some Common Sense via Q &A Statistics: A Light and Transplantable Approach. NLPCC (1) 2022: 593-605 - [c157]Hanshuang Tong, Zhen Wang, Yun Zhou, Shiwei Tong, Wenyuan Han, Qi Liu:
Introducing Problem Schema with Hierarchical Exercise Graph for Knowledge Tracing. SIGIR 2022: 405-415 - [c156]Yan Zhuang, Qi Liu, Zhenya Huang, Zhi Li, Binbin Jin, Haoyang Bi, Enhong Chen, Shijin Wang:
A Robust Computerized Adaptive Testing Approach in Educational Question Retrieval. SIGIR 2022: 416-426 - [c155]Shuanghong Shen, Zhenya Huang, Qi Liu, Yu Su, Shijin Wang, Enhong Chen:
Assessing Student's Dynamic Knowledge State by Exploring the Question Difficulty Effect. SIGIR 2022: 427-437 - [c154]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. SIGIR 2022: 1566-1576 - [c153]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 - [c152]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 - [c151]Chuhan Wu, Fangzhao Wu, Tao Qi, Qi Liu, Xuan Tian, Jie Li, Wei He, Yongfeng Huang, Xing Xie:
FeedRec: News Feed Recommendation with Various User Feedbacks. WWW 2022: 2088-2097 - [c150]Chengqiang Lu, Mingyang Yin, Shuheng Shen, Luo Ji, Qi Liu, Hongxia Yang:
Deep Unified Representation for Heterogeneous Recommendation. WWW 2022: 2141-2152 - [i50]Chengqiang Lu, Mingyang Yin, Shuheng Shen, Luo Ji, Qi Liu, Hongxia Yang:
Deep Unified Representation for Heterogeneous Recommendation. CoRR abs/2201.05861 (2022) - [i49]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) - [i48]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) - [i47]Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chee-Kong Lee, Enhong Chen:
Model Inversion Attacks against Graph Neural Networks. CoRR abs/2209.07807 (2022) - [i46]Zaixi Zhang, Qi Liu, Qingyong Hu, Chee-Kong Lee:
Hierarchical Graph Transformer with Adaptive Node Sampling. CoRR abs/2210.03930 (2022) - [i45]Zhiding Liu, Mingyue Cheng, Zhi Li, Qi Liu, Enhong Chen:
One Person, One Model-Learning Compound Router for Sequential Recommendation. CoRR abs/2211.02824 (2022) - [i44]Junzhe Jiang, Mingyue Cheng, Qi Liu, Zhi Li, Enhong Chen:
Nested Named Entity Recognition from Medical Texts: An Adaptive Shared Network Architecture with Attentive CRF. CoRR abs/2211.04759 (2022) - [i43]Yang Yu, Qi Liu, Likang Wu, Runlong Yu, Sanshi Lei Yu, Zaixi Zhang:
Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense. CoRR abs/2212.05399 (2022) - 2021
- [j41]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) - [j40]Yu Su, Zeyu Cheng, Pengfei Luo, Jinze Wu, Lei Zhang, Qi Liu, Shijin Wang:
Time-and-Concept Enhanced Deep Multidimensional Item Response Theory for interpretable Knowledge Tracing. Knowl. Based Syst. 218: 106819 (2021) - [j39]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) - [j38]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) - [j37]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) - [j36]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) - [c149]Yin Gu, Qi Liu, Kai Zhang, Zhenya Huang, Runze Wu, Jianrong Tao:
NeuralAC: Learning Cooperation and Competition Effects for Match Outcome Prediction. AAAI 2021: 4072-4080 - [c148]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 - [c147]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 - [c146]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 - [c145]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 - [c144]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 - [c143]Lili Zhao, Linan Yue, Yanqing An, Ye Liu, Kai Zhang, Weidong He, Yanmin Chen, Senchao Yuan, Qi Liu:
Legal Judgment Prediction with Multiple Perspectives on Civil Cases. CICAI 2021: 712-723 - [c142]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 - [c141]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 - [c140]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 - [c139]Yijun Wang, Tianxin Wei, Qi Liu, Enhong Chen:
Unpaired Multimodal Neural Machine Translation via Reinforcement Learning. DASFAA (2) 2021: 168-185 - [c138]Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, Qi Liu:
NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application. EMNLP (Findings) 2021: 3285-3295 - [c137]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 - [c136]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 - [c135]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 - [c134]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 - [c133]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 - [c132]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 - [c131]Songtao Fang, Zhenya Huang, Ming He, Shiwei Tong, Xiaoqing Huang, Ye Liu, Jie Huang, Qi Liu:
Guided Attention Network for Concept Extraction. IJCAI 2021: 1449-1455 - [c130]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 - [c129]Shiwei Tong, Qi Liu, Runlong Yu, Wei Huang, Zhenya Huang, Zachary A. Pardos, Weijie Jiang:
Item Response Ranking for Cognitive Diagnosis. IJCAI 2021: 1750-1756 - [c128]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 - [c127]Qi Liu:
Towards a New Generation of Cognitive Diagnosis. IJCAI 2021: 4961-4964 - [c126]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 - [c125]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 - [c124]Qi Liu, Jin Zhang, Defu Lian, Yong Ge, Jianhui Ma, Enhong Chen:
Online Additive Quantization. KDD 2021: 1098-1108 - [c123]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 - [c122]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 - [c121]Sanshi Yu, Zhuoxuan Jiang, Dongdong Chen, Shanshan Feng, Dongsheng Li, Qi Liu, Jinfeng Yi:
Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation. KDD 2021: 3886-3894 - [c120]Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Chee-Kong Lee:
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction. NeurIPS 2021: 15870-15882 - [c119]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 - [c118]Weibo Gao, Qi Liu, Zhenya Huang, Yu Yin, Haoyang Bi, Mu-Chun Wang, Jianhui Ma, Shijin Wang, Yu Su:
RCD: Relation Map Driven Cognitive Diagnosis for Intelligent Education Systems. SIGIR 2021: 501-510 - [c117]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 - [c116]Linan Yue, Qi Liu, Binbin Jin, Han Wu, Kai Zhang, Yanqing An, Mingyue Cheng, Biao Yin, Dayong Wu:
NeurJudge: A Circumstance-aware Neural Framework for Legal Judgment Prediction. SIGIR 2021: 973-982 - [c115]Linan Yue, Qi Liu, Han Wu, Yanqing An, Li Wang, Senchao Yuan, Dayong Wu:
Circumstances enhanced Criminal Court View Generation. SIGIR 2021: 1855-1859 - [c114]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 - [c113]Jinze Wu, Zhenya Huang, Qi Liu, Defu Lian, Hao Wang, Enhong Chen, Haiping Ma, Shijin Wang:
Federated Deep Knowledge Tracing. WSDM 2021: 662-670 - [c112]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 - [c111]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 - [c110]Shiyao Wang, Qi Liu, Tiezheng Ge, Defu Lian, Zhiqiang Zhang:
A Hybrid Bandit Model with Visual Priors for Creative Ranking in Display Advertising. WWW 2021: 2324-2334 - [i42]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) - [i41]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) - [i40]Shiyao Wang, Qi Liu, Tiezheng Ge, Defu Lian, Zhiqiang Zhang:
A Hybrid Bandit Model with Visual Priors for Creative Ranking in Display Advertising. CoRR abs/2102.04033 (2021) - [i39]Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, Qi Liu:
NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application. CoRR abs/2102.04887 (2021) - [i38]Runlong Yu, Yuyang Ye, Qi Liu, Zihan Wang, Chunfeng Yang, Yucheng Hu, Enhong Chen:
XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction. CoRR abs/2104.10907 (2021) - [i37]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) - [i36]Qi Liu, Shuanghong Shen, Zhenya Huang, Enhong Chen, Yonghe Zheng:
A Survey of Knowledge Tracing. CoRR abs/2105.15106 (2021) - [i35]Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chengqiang Lu, Chuanren Liu, Enhong Chen:
GraphMI: Extracting Private Graph Data from Graph Neural Networks. CoRR abs/2106.02820 (2021) - [i34]Sanshi Yu, Zhuoxuan Jiang, Dongdong Chen, Shanshan Feng, Dongsheng Li, Qi Liu, Jinfeng Yi:
Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation. CoRR abs/2106.03415 (2021) - [i33]Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Meng Wang:
LadRa-Net: Locally-Aware Dynamic Re-read Attention Net for Sentence Semantic Matching. CoRR abs/2108.02915 (2021) - [i32]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. CoRR abs/2108.08022 (2021) - [i31]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. CoRR abs/2108.12141 (2021) - [i30]Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Cheekong Lee:
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction. CoRR abs/2110.00987 (2021) - [i29]Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Cheekong Lee:
ProtGNN: Towards Self-Explaining Graph Neural Networks. CoRR abs/2112.00911 (2021) - [i28]Yang Yu, Fangzhao Wu, Chuhan Wu, Jingwei Yi, Tao Qi, Qi Liu:
Tiny-NewsRec: Efficient and Effective PLM-based News Recommendation. CoRR abs/2112.00944 (2021) - 2020
- [j35]Jia Chen, Haiyu Jia, Qi Liu:
Dual-collaborative DoS/DDoS mitigation approach in information-centric mobile Internet. Int. J. Commun. Syst. 33(4) (2020) - [j34]Amadu Fullah Kamara, Enhong Chen, Qi Liu, Zhen Pan:
Combining contextual neural networks for time series classification. Neurocomputing 384: 57-66 (2020) - [j33]Min-Ling Zhang, Yu-Feng Li, Qi Liu:
Preface. J. Comput. Sci. Technol. 35(2): 231-233 (2020) - [j32]Amadu Fullah Kamara, Enhong Chen, Qi Liu, Zhen Pan:
A hybrid neural network for predicting Days on Market a measure of liquidity in real estate industry. Knowl. Based Syst. 208: 106417 (2020) - [j31]Lixiang Xu, Xiaofeng Wang, Lu Bai, Jin Xiao, Qi Liu, Enhong Chen, Xiaoyi Jiang, Bin Luo:
Probabilistic SVM classifier ensemble selection based on GMDH-type neural network. Pattern Recognit. 106: 107373 (2020) - [j30]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) - [j29]Hongyuan Zhu, Qi Liu, Nicholas Jing Yuan, Kun Zhang, Guang Zhou, Enhong Chen:
Pop Music Generation: From Melody to Multi-style Arrangement. ACM Trans. Knowl. Discov. Data 14(5): 54:1-54:31 (2020) - [j28]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) - [j27]Zhenya Huang, Qi Liu, Yuying Chen, Le Wu, Keli Xiao, Enhong Chen, Haiping Ma, Guoping Hu:
Learning or Forgetting? A Dynamic Approach for Tracking the Knowledge Proficiency of Students. ACM Trans. Inf. Syst. 38(2): 19:1-19:33 (2020) - [j26]Biao Chang, Enhong Chen, Feida Zhu, Qi Liu, Tong Xu, Zhefeng Wang:
Maximum a Posteriori Estimation for Information Source Detection. IEEE Trans. Syst. Man Cybern. Syst. 50(6): 2242-2256 (2020) - [c109]Yang Liu, Qi Liu, Hongke Zhao, Zhen Pan, Chuanren Liu:
Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach. AAAI 2020: 2128-2135 - [c108]Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yuying Chen, Yu Yin, Zai Huang, Shijin Wang:
Neural Cognitive Diagnosis for Intelligent Education Systems. AAAI 2020: 6153-6161 - [c107]Jun Wang, Hefu Zhang, Qi Liu, Zhen Pan, Hanqing Tao:
Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach. AAAI 2020: 6210-6218 - [c106]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 - [c105]Runze Wu, Hao Deng, Jianrong Tao, Changjie Fan, Qi Liu, Liang Chen:
Deep Behavior Tracing with Multi-level Temporality Preserved Embedding. CIKM 2020: 2813-2820 - [c104]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. ICDM 2020: 42-51 - [c103]Shiwei Tong, Qi Liu, Wei Huang, Zhenya Huang, Enhong Chen, Chuanren Liu, Haiping Ma, Shijin Wang:
Structure-based Knowledge Tracing: An Influence Propagation View. ICDM 2020: 541-550 - [c102]Haoyu Han, Mengdi Zhang, Min Hou, Fuzheng Zhang, Zhongyuan Wang, Enhong Chen, Hongwei Wang, Jianhui Ma, Qi Liu:
STGCN: A Spatial-Temporal Aware Graph Learning Method for POI Recommendation. ICDM 2020: 1052-1057 - [c101]Ye Liu, Han Wu, Zhenya Huang, Hao Wang, Jianhui Ma, Qi Liu, Enhong Chen, Hanqing Tao, Ke Rui:
Technical Phrase Extraction for Patent Mining: A Multi-level Approach. ICDM 2020: 1142-1147 - [c100]Wei Tong, Shiwei Tong, Wei Huang, Liyang He, Jianhui Ma, Qi Liu, Enhong Chen:
Exploiting Knowledge Hierarchy for Finding Similar Exercises in Online Education Systems. ICDM 2020: 1298-1303 - [c99]Zhi Li, Bo Wu, Qi Liu, Likang Wu, Hongke Zhao, Tao Mei:
Learning the Compositional Visual Coherence for Complementary Recommendations. IJCAI 2020: 3536-3543 - [c98]Zhongkai Hao, Chengqiang Lu, Zhenya Huang, Hao Wang, Zheyuan Hu, Qi Liu, Enhong Chen, Cheekong Lee:
ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction. KDD 2020: 731-752 - [c97]Xin Wang, Wei Huang, Qi Liu, Yu Yin, Zhenya Huang, Le Wu, Jianhui Ma, Xue Wang:
Fine-Grained Similarity Measurement between Educational Videos and Exercises. ACM Multimedia 2020: 331-339 - [c96]Binbin Jin, Defu Lian, Zheng Liu, Qi Liu, Jianhui Ma, Xing Xie, Enhong Chen:
Sampling-Decomposable Generative Adversarial Recommender. NeurIPS 2020 - [c95]Zhenya Huang, Qi Liu, Weibo Gao, Jinze Wu, Yu Yin, Hao Wang, Enhong Chen:
Neural Mathematical Solver with Enhanced Formula Structure. SIGIR 2020: 1729-1732 - [c94]Shuanghong Shen, Qi Liu, Enhong Chen, Han Wu, Zhenya Huang, Weihao Zhao, Yu Su, Haiping Ma, Shijin Wang:
Convolutional Knowledge Tracing: Modeling Individualization in Student Learning Process. SIGIR 2020: 1857-1860 - [c93]Defu Lian, Qi Liu, Enhong Chen:
Personalized Ranking with Importance Sampling. WWW 2020: 1093-1103 - [i27]Song Cheng, Qi Liu, Enhong Chen:
Domain Adaption for Knowledge Tracing. CoRR abs/2001.04841 (2020) - [i26]Han Wu, Kun Zhang, Guangyi Lv, Qi Liu, Runlong Yu, Weihao Zhao, Enhong Chen, Jianhui Ma:
Deep Technology Tracing for High-tech Companies. CoRR abs/2001.08606 (2020) - [i25]Kai Zhang, Hongke Zhao, Qi Liu, Zhen Pan, Enhong Chen:
A Dynamic and Cooperative Tracking System for Crowdfunding. CoRR abs/2002.00847 (2020) - [i24]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) - [i23]Zhongkai Hao, Chengqiang Lu, Zheyuan Hu, Hao Wang, Zhenya Huang, Qi Liu, Enhong Chen, Cheekong Lee:
ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction. CoRR abs/2007.03196 (2020) - [i22]Binbin Jin, Defu Lian, Zheng Liu, Qi Liu, Jianhui Ma, Xing Xie, Enhong Chen:
Sampling-Decomposable Generative Adversarial Recommender. CoRR abs/2011.00956 (2020) - [i21]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. CoRR abs/2012.06968 (2020)
2010 – 2019
- 2019
- [j25]Kai Li, Guangyi Lv, Zhefeng Wang, Qi Liu, Enhong Chen, Lisheng Qiao:
Understanding the mechanism of social tie in the propagation process of social network with communication channel. Frontiers Comput. Sci. 13(6): 1296-1308 (2019) - [c92]Chengqiang Lu, Qi Liu, Chao Wang, Zhenya Huang, Peize Lin, Lixin He:
Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective. AAAI 2019: 1052-1060 - [c91]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 - [c90]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 - [c89]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 - [c88]Wei Huang, Enhong Chen, Qi Liu, Yuying Chen, Zai Huang, Yang Liu, Zhou Zhao, Dan Zhang, Shijin Wang:
Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach. CIKM 2019: 1051-1060 - [c87]Zhenya Huang, Qi Liu, Chengxiang Zhai, Yu Yin, Enhong Chen, Weibo Gao, Guoping Hu:
Exploring Multi-Objective Exercise Recommendations in Online Education Systems. CIKM 2019: 1261-1270 - [c86]Song Cheng, Qi Liu, Enhong Chen, Zai Huang, Zhenya Huang, Yiying Chen, Haiping Ma, Guoping Hu:
DIRT: Deep Learning Enhanced Item Response Theory for Cognitive Diagnosis. CIKM 2019: 2397-2400 - [c85]Qi Zhang, Tong Xu, Hengshu Zhu, Lifu Zhang, Hui Xiong, Enhong Chen, Qi Liu:
Aftershock Detection with Multi-scale Description Based Neural Network. ICDM 2019: 886-895 - [c84]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 - [c83]Xiaoqing Huang, Qi Liu, Chao Wang, Haoyu Han, Jianhui Ma, Enhong Chen, Yu Su, Shijin Wang:
Constructing Educational Concept Maps with Multiple Relationships from Multi-Source Data. ICDM 2019: 1108-1113 - [c82]Han Wu, Kun Zhang, Guangyi Lv, Qi Liu, Runlong Yu, Weihao Zhao, Enhong Chen, Jianhui Ma:
Deep Technology Tracing for High-Tech Companies. ICDM 2019: 1396-1401 - [c81]Min Hou, Le Wu, Enhong Chen, Zhi Li, Vincent W. Zheng, Qi Liu:
Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach. IJCAI 2019: 4681-4688 - [c80]Qi Liu, Shiwei Tong, Chuanren Liu, Hongke Zhao, Enhong Chen, Haiping Ma, Shijin Wang:
Exploiting Cognitive Structure for Adaptive Learning. KDD 2019: 627-635 - [c79]Hao Wang, Tong Xu, Qi Liu, Defu Lian, Enhong Chen, Dongfang Du, Han Wu, Wen Su:
MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network. KDD 2019: 1064-1072 - [c78]Yu Yin, Qi Liu, Zhenya Huang, Enhong Chen, Wei Tong, Shijin Wang, Yu Su:
QuesNet: A Unified Representation for Heterogeneous Test Questions. KDD 2019: 1328-1336 - [c77]Kun Zhang, Guangyi Lv, Enhong Chen, Le Wu, Qi Liu, C. L. Philip Chen:
Context-Aware Dual-Attention Network for Natural Language Inference. PAKDD (3) 2019: 185-198 - [c76]Guangyi Lv, Tong Xu, Qi Liu, Enhong Chen, Weidong He, Mingxiao An, Zhongming Chen:
Gossiping the Videos: An Embedding-Based Generative Adversarial Framework for Time-Sync Comments Generation. PAKDD (3) 2019: 412-424 - [i20]Yu Yin, Qi Liu, Zhenya Huang, Enhong Chen, Wei Tong, Shijin Wang, Yu Su:
QuesNet: A Unified Representation for Heterogeneous Test Questions. CoRR abs/1905.10949 (2019) - [i19]Yu Yin, Zhenya Huang, Enhong Chen, Qi Liu, Fuzheng Zhang, Xing Xie, Guoping Hu:
Transcribing Content from Structural Images with Spotlight Mechanism. CoRR abs/1905.10954 (2019) - [i18]Hao Wang, Tong Xu, Qi Liu, Defu Lian, Enhong Chen, Dongfang Du, Han Wu, Wen Su:
MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network. CoRR abs/1905.11013 (2019) - [i17]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) - [i16]Min Hou, Le Wu, Enhong Chen, Zhi Li, Vincent W. Zheng, Qi Liu:
Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach. CoRR abs/1905.12862 (2019) - [i15]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) - [i14]Hanqing Tao, Shiwei Tong, Tong Xu, Qi Liu, Enhong Chen:
Chinese Embedding via Stroke and Glyph Information: A Dual-channel View. CoRR abs/1906.04287 (2019) - [i13]Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Hui Xiong, Yu Su, Guoping Hu:
EKT: Exercise-aware Knowledge Tracing for Student Performance Prediction. CoRR abs/1906.05658 (2019) - [i12]Chengqiang Lu, Qi Liu, Chao Wang, Zhenya Huang, Peize Lin, Lixin He:
Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective. CoRR abs/1906.11081 (2019) - [i11]Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang:
Interpretable Cognitive Diagnosis with Neural Network for Intelligent Educational Systems. CoRR abs/1908.08733 (2019) - [i10]Xianfeng Liang, Likang Wu, Joya Chen, Yang Liu, Runlong Yu, Min Hou, Han Wu, Yuyang Ye, Qi Liu, Enhong Chen:
Long-term Joint Scheduling for Urban Traffic. CoRR abs/1910.12283 (2019) - [i9]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) - [i8]Jun Wang, Hefu Zhang, Qi Liu, Zhen Pan, Hanqing Tao:
Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach. CoRR abs/1912.12016 (2019) - 2018
- [j24]Biao Chang, Tong Xu, Qi Liu, En-Hong Chen:
Study on Information Diffusion Analysis in Social Networks and Its Applications. Int. J. Autom. Comput. 15(4): 377-401 (2018) - [j23]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) - [j22]Defu Lian, Qi Liu:
Jointly Recommending Library Books and Predicting Academic Performance: A Mutual Reinforcement Perspective. J. Comput. Sci. Technol. 33(4): 654-667 (2018) - [j21]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) - [j20]Qi Liu, Run-ze Wu, Enhong Chen, Guandong Xu, Yu Su, Zhigang Chen, Guoping Hu:
Fuzzy Cognitive Diagnosis for Modelling Examinee Performance. ACM Trans. Intell. Syst. Technol. 9(4): 48:1-48:26 (2018) - [j19]Le Wu, Qi Liu, Richang Hong, Enhong Chen, Yong Ge, Xing Xie, Meng Wang:
Product Adoption Rate Prediction in a Competitive Market. IEEE Trans. Knowl. Data Eng. 30(2): 325-338 (2018) - [j18]Keli Xiao, Qi Liu, Chuanren Liu, Hui Xiong:
Price Shock Detection With an Influence-Based Model of Social Attention. ACM Trans. Manag. Inf. Syst. 9(1): 2:1-2:21 (2018) - [j17]Zongda Wu, Guiling Li, Qi Liu, Guandong Xu, Enhong Chen:
Covering the Sensitive Subjects to Protect Personal Privacy in Personalized Recommendation. IEEE Trans. Serv. Comput. 11(3): 493-506 (2018) - [j16]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) - [j15]Ming He, Yong Ge, Enhong Chen, Qi Liu, Xuesong Wang:
Exploring the Emerging Type of Comment for Online Videos: DanMu. ACM Trans. Web 12(1): 1:1-1:33 (2018) - [c75]Chao Wang, Qi Liu, Run-ze Wu, Enhong Chen, Chuanren Liu, Xunpeng Huang, Zhenya Huang:
Confidence-Aware Matrix Factorization for Recommender Systems. AAAI 2018: 434-442 - [c74]Yu Su, Qingwen Liu, Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Chris H. Q. Ding, Si Wei, Guoping Hu:
Exercise-Enhanced Sequential Modeling for Student Performance Prediction. AAAI 2018: 2435-2443 - [c73]Runlong Yu, Yunzhou Zhang, Yuyang Ye, Le Wu, Chao Wang, Qi Liu, Enhong Chen:
Multiple Pairwise Ranking with Implicit Feedback. CIKM 2018: 1727-1730 - [c72]Tianyu Zhu, Qi Liu, Zhenya Huang, Enhong Chen, Defu Lian, Yu Su, Guoping Hu:
MT-MCD: A Multi-task Cognitive Diagnosis Framework for Student Assessment. DASFAA (2) 2018: 318-335 - [c71]Hao Wang, Enhong Chen, Qi Liu, Tong Xu, Dongfang Du, Wen Su, Xiaopeng Zhang:
A United Approach to Learning Sparse Attributed Network Embedding. ICDM 2018: 557-566 - [c70]Yanan Wang, Qi Liu, Chuan Qin, Tong Xu, Yijun Wang, Enhong Chen, Hui Xiong:
Exploiting Topic-Based Adversarial Neural Network for Cross-Domain Keyphrase Extraction. ICDM 2018: 597-606 - [c69]Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Han Wu, Fangzhao Wu:
Image-Enhanced Multi-level Sentence Representation Net for Natural Language Inference. ICDM 2018: 747-756 - [c68]Qi Liu, Han Wu, Yuyang Ye, Hongke Zhao, Chuanren Liu, Dongfang Du:
Patent Litigation Prediction: A Convolutional Tensor Factorization Approach. IJCAI 2018: 5052-5059 - [c67]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 - [c66]Qi Liu, Zai Huang, Zhenya Huang, Chuanren Liu, Enhong Chen, Yu Su, Guoping Hu:
Finding Similar Exercises in Online Education Systems. KDD 2018: 1821-1830 - [c65]Yu Yin, Zhenya Huang, Enhong Chen, Qi Liu, Fuzheng Zhang, Xing Xie, Guoping Hu:
Transcribing Content from Structural Images with Spotlight Mechanism. KDD 2018: 2643-2652 - [c64]Hongyuan Zhu, Qi Liu, Nicholas Jing Yuan, Chuan Qin, Jiawei Li, Kun Zhang, Guang Zhou, Furu Wei, Yuanchun Xu, Enhong Chen:
XiaoIce Band: A Melody and Arrangement Generation Framework for Pop Music. KDD 2018: 2837-2846 - [c63]Ming He, Yan Chen, Qi Liu, Yong Ge, Enhong Chen, Guiquan Liu, Lichao Liu, Xin Li:
Understand and Assess People's Procrastination by Mining Computer Usage Log. KSEM (1) 2018: 187-199 - [c62]Tianyuan Jin, Tong Xu, Hui Zhong, Enhong Chen, Zhefeng Wang, Qi Liu:
Maximizing the Effect of Information Adoption: A General Framework. SDM 2018: 693-701 - [c61]Hongwei Wang, Fuzheng Zhang, Min Hou, Xing Xie, Minyi Guo, Qi Liu:
SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction. WSDM 2018: 592-600 - [r1]Qi Liu, Zhefeng Wang, Enhong Chen:
Influence Maximization Model. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i7]Le Wu, Yong Ge, Qi Liu, Enhong Chen, Richang Hong, Meng Wang, Junping Du:
Explainable Social Contextual Image Recommendation with Hierarchical Attention. CoRR abs/1806.00723 (2018) - [i6]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) - [i5]Mingxiao An, Yongzhou Chen, Qi Liu, Chuanren Liu, Guangyi Lv, Fangzhao Wu, Jianhui Ma:
Skeptical Deep Learning with Distribution Correction. CoRR abs/1811.03821 (2018) - 2017
- [j14]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) - [j13]Qi Liu, Biao Xiang, Nicholas Jing Yuan, Enhong Chen, Hui Xiong, Yi Zheng, Yu Yang:
An Influence Propagation View of PageRank. ACM Trans. Knowl. Discov. Data 11(3): 30:1-30:30 (2017) - [j12]Le Wu, Yong Ge, Qi Liu, Enhong Chen, Richang Hong, Junping Du, Meng Wang:
Modeling the Evolution of Users' Preferences and Social Links in Social Networking Services. IEEE Trans. Knowl. Data Eng. 29(6): 1240-1253 (2017) - [c60]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 - [c59]Kun Zhang, Enhong Chen, Qi Liu, Chuanren Liu, Guangyi Lv:
A Context-Enriched Neural Network Method for Recognizing Lexical Entailment. AAAI 2017: 3127-3134 - [c58]Yuying Chen, Qi Liu, Zhenya Huang, Le Wu, Enhong Chen, Run-ze Wu, Yu Su, Guoping Hu:
Tracking Knowledge Proficiency of Students with Educational Priors. CIKM 2017: 989-998 - [c57]Zai Huang, Zhen Pan, Qi Liu, Bai Long, Haiping Ma, Enhong Chen:
An Ad CTR Prediction Method Based on Feature Learning of Deep and Shallow Layers. CIKM 2017: 2119-2122 - [c56]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 - [c55]Xunpeng Huang, Le Wu, Enhong Chen, Hengshu Zhu, Qi Liu, Yijun Wang:
Incremental Matrix Factorization: A Linear Feature Transformation Perspective. IJCAI 2017: 1901-1908 - [c54]Hongke Zhao, Hefu Zhang, Yong Ge, Qi Liu, Enhong Chen, Huayu Li, Le Wu:
Tracking the Dynamics in Crowdfunding. KDD 2017: 625-634 - [c53]Dongfang Du, Hao Wang, Tong Xu, Yanan Lu, Qi Liu, Enhong Chen:
Solving link-oriented tasks in signed network via an embedding approach. SMC 2017: 75-80 - [c52]Run-ze Wu, Guandong Xu, Enhong Chen, Qi Liu, Wan Ng:
Knowledge or Gaming?: Cognitive Modelling Based on Multiple-Attempt Response. WWW (Companion Volume) 2017: 321-329 - [i4]Hongwei Wang, Fuzheng Zhang, Min Hou, Xing Xie, Minyi Guo, Qi Liu:
SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction. CoRR abs/1712.00732 (2017) - 2016
- [j11]Yi Zheng, Qi Liu, Enhong Chen, Yong Ge, J. Leon Zhao:
Exploiting multi-channels deep convolutional neural networks for multivariate time series classification. Frontiers Comput. Sci. 10(1): 96-112 (2016) - [j10]Chen Zhu, Hengshu Zhu, Yong Ge, Enhong Chen, Qi Liu, Tong Xu, Hui Xiong:
Tracking the evolution of social emotions with topic models. Knowl. Inf. Syst. 47(3): 517-544 (2016) - [j9]Le Wu, Qi Liu, Enhong Chen, Nicholas Jing Yuan, Guangming Guo, Xing Xie:
Relevance Meets Coverage: A Unified Framework to Generate Diversified Recommendations. ACM Trans. Intell. Syst. Technol. 7(3): 39:1-39:30 (2016) - [j8]Guangming Guo, Feida Zhu, Enhong Chen, Qi Liu, Le Wu, Chu Guan:
From Footprint to Evidence: An Exploratory Study of Mining Social Data for Credit Scoring. ACM Trans. Web 10(4): 22:1-22:38 (2016) - [c51]Le Wu, Yong Ge, Qi Liu, Enhong Chen, Bai Long, Zhenya Huang:
Modeling Users' Preferences and Social Links in Social Networking Services: A Joint-Evolving Perspective. AAAI 2016: 279-286 - [c50]Guangyi Lv, Tong Xu, Enhong Chen, Qi Liu, Yi Zheng:
Reading the Videos: Temporal Labeling for Crowdsourced Time-Sync Videos Based on Semantic Embedding. AAAI 2016: 3000-3006 - [c49]Li Zhang, Liang Zhang, Keli Xiao, Qi Liu:
Forecasting price shocks with social attention and sentiment analysis. ASONAM 2016: 559-566 - [c48]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 - [c47]Yuping Liu, Qi Liu, Run-ze Wu, Enhong Chen, Yu Su, Zhigang Chen, Guoping Hu:
Collaborative Learning Team Formation: A Cognitive Modeling Perspective. DASFAA (2) 2016: 383-400 - [c46]Xiangyu Zhao, Tong Xu, Qi Liu, Hao Guo:
Exploring the Choice Under Conflict for Social Event Participation. DASFAA (1) 2016: 396-411 - [c45]Yingzi Wang, Nicholas Jing Yuan, Yu Sun, Fuzheng Zhang, Xing Xie, Qi Liu, Enhong Chen:
A contextual collaborative approach for app usage forecasting. UbiComp 2016: 1247-1258 - [c44]Zhen Pan, Enhong Chen, Qi Liu, Tong Xu, Haiping Ma, Hongjie Lin:
Sparse Factorization Machines for Click-through Rate Prediction. ICDM 2016: 400-409 - [c43]Hongke Zhao, Qi Liu, Yong Ge, Ruoyan Kong, Enhong Chen:
Group Preference Aggregation: A Nash Equilibrium Approach. ICDM 2016: 679-688 - [c42]Defu Lian, Yuyang Ye, Wenya Zhu, Qi Liu, Xing Xie, Hui Xiong:
Mutual Reinforcement of Academic Performance Prediction and Library Book Recommendation. ICDM 2016: 1023-1028 - [c41]Yijun Wang, Le Wu, Zongda Wu, Enhong Chen, Qi Liu:
Selecting Valuable Customers for Merchants in E-Commerce Platforms. ICDM 2016: 1281-1286 - [c40]Hengshu Zhu, Hui Xiong, Fangshuang Tang, Qi Liu, Yong Ge, Enhong Chen, Yanjie Fu:
Days on Market: Measuring Liquidity in Real Estate Markets. KDD 2016: 393-402 - [c39]Tong Xu, Hengshu Zhu, Xiangyu Zhao, Qi Liu, Hao Zhong, Enhong Chen, Hui Xiong:
Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective. KDD 2016: 1285-1294 - [c38]Hongke Zhao, Qi Liu, Guifeng Wang, Yong Ge, Enhong Chen:
Portfolio Selections in P2P Lending: A Multi-Objective Perspective. KDD 2016: 2075-2084 - [c37]Guangming Guo, Feida Zhu, Enhong Chen, Le Wu, Qi Liu, Yingling Liu, Minghui Qiu:
Personal Credit Profiling via Latent User Behavior Dimensions on Social Media. PAKDD (2) 2016: 130-142 - 2015
- [j7]Lei Zhang, Ping Luo, Linpeng Tang, Enhong Chen, Qi Liu, Min Wang, Hui Xiong:
Occupancy-Based Frequent Pattern Mining*. ACM Trans. Knowl. Discov. Data 10(2): 14:1-14:33 (2015) - [c36]Biao Chang, Feida Zhu, Enhong Chen, Qi Liu:
Information Source Detection via Maximum A Posteriori Estimation. ICDM 2015: 21-30 - [c35]Qi Liu, Xianyu Zeng, Chuanren Liu, Hengshu Zhu, Enhong Chen, Hui Xiong, Xing Xie:
Mining Indecisiveness in Customer Behaviors. ICDM 2015: 281-290 - [c34]Li Zhang, Keli Xiao, Qi Liu, Yefan Tao, Yuefan Deng:
Modeling Social Attention for Stock Analysis: An Influence Propagation Perspective. ICDM 2015: 609-618 - [c33]Run-ze Wu, Qi Liu, Yuping Liu, Enhong Chen, Yu Su, Zhigang Chen, Guoping Hu:
Cognitive Modelling for Predicting Examinee Performance. IJCAI 2015: 1017-1024 - [c32]Zhefeng Wang, Enhong Chen, Qi Liu, Yu Yang, Yong Ge, Biao Chang:
Maximizing the Coverage of Information Propagation in Social Networks. IJCAI 2015: 2104-2110 - [c31]Guangxiang Zeng, Hengshu Zhu, Qi Liu, Ping Luo, Enhong Chen, Tong Zhang:
Matrix Factorization with Scale-Invariant Parameters. IJCAI 2015: 4017-4024 - [c30]Yifan Sun, Xin Li, Lin Li, Qi Liu, Enhong Chen, Haiping Ma:
Mining User's Location Intention from Mobile Search Log. KSEM 2015: 407-420 - [c29]Yi Zheng, Qi Liu, Enhong Chen, J. Leon Zhao, Liang He, Guangyi Lv:
Convolutional Nonlinear Neighbourhood Components Analysis for Time Series Classification. PAKDD (2) 2015: 534-546 - [c28]Guowei Ma, Qi Liu, Le Wu, Enhong Chen:
Identifying Hesitant and Interested Customers for Targeted Social Marketing. PAKDD (1) 2015: 576-590 - [c27]Le Wu, Qi Liu, Enhong Chen, Xing Xie, Chang Tan:
Product Adoption Rate Prediction: A Multi-factor View. SDM 2015: 154-162 - [c26]Guangxiang Zeng, Ping Luo, Enhong Chen, Hui Xiong, Hengshu Zhu, Qi Liu:
Convex Matrix Completion: A Trace-Ball Optimization Perspective. SDM 2015: 334-342 - [c25]Guowei Ma, Qi Liu, Enhong Chen, Biao Xiang:
Individual Influence Maximization via Link Recommendation. WAIM 2015: 42-56 - [c24]Chu Guan, Qi Liu, Jingsong Lv, Enhong Chen, Hengshu Zhu, Xin Li:
Consolidation: Metric+Active Learning and Its Applications for Cross-Domain Recommendation. WI-IAT (1) 2015: 244-251 - [i3]Zhefeng Wang, Enhong Chen, Qi Liu, Yu Yang, Yong Ge, Biao Chang:
Information Coverage Maximization in Social Networks. CoRR abs/1510.03822 (2015) - 2014
- [j6]Chang Tan, Qi Liu, Enhong Chen, Hui Xiong, Xiang Wu:
Object-Oriented Travel Package Recommendation. ACM Trans. Intell. Syst. Technol. 5(3): 43:1-43:26 (2014) - [j5]Baoxing Huai, Enhong Chen, Hengshu Zhu, Hui Xiong, Tengfei Bao, Qi Liu, Jilei Tian:
Toward Personalized Context Recognition for Mobile Users: A Semisupervised Bayesian HMM Approach. ACM Trans. Knowl. Discov. Data 9(2): 10:1-10:29 (2014) - [j4]Qi Liu, Enhong Chen, Hui Xiong, Yong Ge, Zhongmou Li, Xiang Wu:
A Cocktail Approach for Travel Package Recommendation. IEEE Trans. Knowl. Data Eng. 26(2): 278-293 (2014) - [j3]Yong Ge, Hui Xiong, Alexander Tuzhilin, Qi Liu:
Cost-Aware Collaborative Filtering for Travel Tour Recommendations. ACM Trans. Inf. Syst. 32(1): 4:1-4:31 (2014) - [c23]Guangming Guo, Lei Zhang, Qi Liu, Enhong Chen, Feida Zhu, Chu Guan:
High Utility Episode Mining Made Practical and Fast. ADMA 2014: 71-84 - [c22]Fangshuang Tang, Qi Liu, Hengshu Zhu, Enhong Chen, Feida Zhu:
Diversified social influence maximization. ASONAM 2014: 455-459 - [c21]Qi Liu, Biao Xiang, Enhong Chen, Hui Xiong, Fangshuang Tang, Jeffrey Xu Yu:
Influence Maximization over Large-Scale Social Networks: A Bounded Linear Approach. CIKM 2014: 171-180 - [c20]Jing Wang, Lei Zhang, Guiquan Liu, Qi Liu, Enhong Chen:
On top-k closed sequential patterns mining. FSKD 2014: 295-300 - [c19]Qi Liu, Zheng Dong, Chuanren Liu, Xing Xie, Enhong Chen, Hui Xiong:
Social Marketing Meets Targeted Customers: A Typical User Selection and Coverage Perspective. ICDM 2014: 350-359 - [c18]Chen Zhu, Hengshu Zhu, Yong Ge, Enhong Chen, Qi Liu:
Tracking the Evolution of Social Emotions: A Time-Aware Topic Modeling Perspective. ICDM 2014: 697-706 - [c17]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 - [c16]Zhefeng Wang, Hao Wang, Qi Liu, Enhong Chen:
Influential nodes selection: a data reconstruction perspective. SIGIR 2014: 879-882 - [c15]Yi Zheng, Qi Liu, Enhong Chen, Yong Ge, J. Leon Zhao:
Time Series Classification Using Multi-Channels Deep Convolutional Neural Networks. WAIM 2014: 298-310 - 2013
- [j2]Qi Liu, Haiping Ma, Enhong Chen, Hui Xiong:
A Survey of Context-Aware Mobile Recommendations. Int. J. Inf. Technol. Decis. Mak. 12(1): 139-172 (2013) - [c14]Ting Jin, Tong Xu, Enhong Chen, Qi Liu, Haiping Ma, Jingsong Lv, Guoping Hu:
Random Walk with Pre-filtering for Social Link Prediction. CIS 2013: 139-143 - [c13]Qi Liu, Biao Xiang, Lei Zhang, Enhong Chen, Chang Tan, Ji Chen:
Linear Computation for Independent Social Influence. ICDM 2013: 468-477 - [c12]Biao Xiang, Qi Liu, Enhong Chen, Hui Xiong, Yi Zheng, Yu Yang:
PageRank with Priors: An Influence Propagation Perspective. IJCAI 2013: 2740-2746 - [c11]Xue Bai, Yun Xiong, Yangyong Zhu, Qi Liu, Zhiyuan Chen:
Co-anomaly Event Detection in Multiple Temperature Series. KSEM 2013: 1-14 - [c10]Xiang Wu, Qi Liu, Enhong Chen, Liang He, Jingsong Lv, Can Cao, Guoping Hu:
Personalized next-song recommendation in online karaokes. RecSys 2013: 137-140 - 2012
- [j1]Qi Liu, Enhong Chen, Hui Xiong, Chris H. Q. Ding, Jian Chen:
Enhancing Collaborative Filtering by User Interest Expansion via Personalized Ranking. IEEE Trans. Syst. Man Cybern. Part B 42(1): 218-233 (2012) - [c9]Le Wu, Enhong Chen, Qi Liu, Linli Xu, Tengfei Bao, Lei Zhang:
Leveraging tagging for neighborhood-aware probabilistic matrix factorization. CIKM 2012: 1854-1858 - [c8]Leilei Yang, Guiquan Liu, Qi Liu, Lei Zhang, Enhong Chen:
Analyzing Sequence Data Based on Conditional Random Fields with Co-training. CIS 2012: 94-98 - [c7]Yu Yang, Enhong Chen, Qi Liu, Biao Xiang, Tong Xu, Shafqat Ali Shad:
On Approximation of Real-World Influence Spread. ECML/PKDD (2) 2012: 548-564 - [c6]Qi Liu, Biao Xiang, Enhong Chen, Yong Ge, Hui Xiong, Tengfei Bao, Yi Zheng:
Influential seed items recommendation. RecSys 2012: 245-248 - [i2]Biao Xiang, Enhong Chen, Qi Liu, Hui Xiong, Yu Yang, Junyuan Xie:
A Social Influence Model Based On Circuit Theory. CoRR abs/1205.6024 (2012) - [i1]Biao Xiang, Enhong Chen, Hui Xiong, Qi Liu:
A Linear Circuit Model For Social Influence. CoRR abs/1206.1105 (2012) - 2011
- [c5]Qi Liu, Yong Ge, Zhongmou Li, Enhong Chen, Hui Xiong:
Personalized Travel Package Recommendation. ICDM 2011: 407-416 - [c4]Yong Ge, Qi Liu, Hui Xiong, Alexander Tuzhilin, Jian Chen:
Cost-aware travel tour recommendation. KDD 2011: 983-991 - [c3]Qi Liu, Enhong Chen, Biao Xiang, Chris H. Q. Ding, Liang He:
Gaussian Process for Recommender Systems. KSEM 2011: 56-67 - [c2]Yong Ge, Hui Xiong, Alexander Tuzhilin, Qi Liu:
Collaborative filtering with collective training. RecSys 2011: 281-284 - 2010
- [c1]Qi Liu, Enhong Chen, Hui Xiong, Chris H. Q. Ding:
Exploiting user interests for collaborative filtering: interests expansion via personalized ranking. CIKM 2010: 1697-1700
Coauthor Index
Enhong Chen
aka: En-Hong Chen
aka: En-Hong Chen
[j79] [j78] [j77] [c206] [j74] [j72] [j68] [j67] [j66] [j65] [j64] [j62] [j61] [j60] [j59] [j58] [j57] [j56] [j55] [j54] [c203] [c201] [c199] [c198] [c195] [c194] [c190] [c189] [c188] [c187] [c186] [c183] [c182] [c181] [c180] [c179] [i72] [i69] [i68] [i66] [i65] [i63] [i62] [i61] [i60] [i59] [i58] [i57] [i53] [j51] [j49] [j48] [j47] [j46] [j45] [j43] [j42] [c178] [c175] [c173] [c171] [c170] [c165] [c164] [c163] [c162] [c161] [c160] [c158] [c156] [c155] [c154] [c153] [c152] [i49] [i48] [i47] [i45] [i44] [j41] [j39] [j38] [j37] [j36] [c148] [c147] [c146] [c145] [c144] [c142] [c141] [c140] [c139] [c137] [c136] [c135] [c134] [c133] [c132] [c130] [c128] [c126] [c125] [c124] [c123] [c122] [c119] [c117] [c114] [c113] [c112] [c111] [i42] [i41] [i38] [i37] [i36] [i35] [i33] [i32] [i31] [j34] [j32] [j31] [j30] [j29] [j28] [j27] [j26] [c108] [c106] [c104] [c103] [c102] [c101] [c100] [c98] [c96] [c95] [c94] [c93] [i27] [i26] [i25] [i23] [i22] [i21] [j25] [c91] [c89] [c88] [c87] [c86] [c85] [c84] [c83] [c82] [c81] [c80] [c79] [c78] [c77] [c76] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i11] [i10] [i9] [j24] [j23] [j21] [j20] [j19] [j17] [j16] [j15] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [c67] [c66] [c65] [c64] [c63] [c62] [r1] [i7] [i6] [j14] [j13] [j12] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [j11] [j10] [j9] [j8] [c51] [c50] [c48] [c47] [c45] [c44] [c43] [c41] [c40] [c39] [c38] [c37] [j7] [c36] [c35] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [i3] [j6] [j5] [j4] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [j2] [c14] [c13] [c12] [c10] [j1] [c9] [c8] [c7] [c6] [i2] [i1] [c5] [c3] [c1]
[j81] [j74] [j72] [j68] [j67] [j65] [j62] [j61] [j60] [j59] [j58] [j56] [j55] [j54] [c205] [c203] [c198] [c195] [c190] [c189] [c187] [c183] [c182] [c181] [c179] [i72] [i70] [i66] [i61] [i59] [i57] [j50] [j49] [j42] [c177] [c174] [c173] [c165] [c162] [c161] [c156] [c155] [c154] [c153] [i48] [i47] [j39] [j37] [c149] [c147] [c144] [c137] [c134] [c133] [c131] [c130] [c129] [c128] [c125] [c123] [c122] [c118] [c113] [c111] [i42] [i36] [i35] [j27] [c108] [c104] [c103] [c101] [c98] [c97] [c95] [c94] [i23] [c92] [c87] [c86] [c78] [i20] [i19] [i15] [i13] [i12] [i11] [c75] [c74] [c72] [c67] [c66] [c65] [i6] [c60] [c58] [c51]
Cheekong Lee
aka: Chee-Kong Lee
aka: Chee-Kong Lee
[j79] [j73] [j68] [j63] [j56] [c188] [i62] [j53] [j47] [j44] [c175] [i49] [j37] [c147] [c146] [c140] [c130] [c126] [i41] [i37] [j30] [j28] [c109] [c106] [c99] [i25] [i24] [c91] [c90] [c89] [c84] [c80] [i17] [i15] [i9] [j23] [j21] [j16] [c68] [c67] [i6] [j14] [c60] [c56] [c54] [c48] [c43] [c38] [c17]
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