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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.org/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
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2020 – today
- 2023
[j68]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)- [j67]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) - [j66]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) - [j65]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) - [j64]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) - [j63]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) - [j62]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) - [j61]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) - [j60]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) - [j59]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) - [j58]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) - [j57]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) - [j56]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) - [j55]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) - [j54]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) - [c199]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 - [c198]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 - [c197]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 - [c196]Zaixi Zhang, Qi Liu, Zhicai Wang, Zepu Lu, Qingyong Hu:
Backdoor Defense via Deconfounded Representation Learning. CVPR 2023: 12228-12238 - [c195]Wenqiang He, Mingyue Cheng, Qi Liu, Zhi Li:
ShapeWordNet: An Interpretable Shapelet Neural Network for Physiological Signal Classification. DASFAA (4) 2023: 353-369 - [c194]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 - [c193]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 - [c192]Zaixi Zhang, Yaosen Min, Shuxin Zheng, Qi Liu:
Molecule Generation For Target Protein Binding with Structural Motifs. ICLR 2023 - [c191]Zaixi Zhang, Qi Liu:
Learning Subpocket Prototypes for Generalizable Structure-based Drug Design. ICML 2023: 41382-41398 - [c190]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 - [c189]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 - [c188]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 - [c187]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 - [c186]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 - [c185]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 - [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 - [i67]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) - [i66]Wenqiang He, Mingyue Cheng, Qi Liu, Zhi Li:
ShapeWordNet: An Interpretable Shapelet Neural Network for Physiological Signal Classification. CoRR abs/2302.05021 (2023) - [i65]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) - [i64]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) - [i63]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) - [i62]Zaixi Zhang, Qi Liu, Zhicai Wang, Zepu Lu, Qingyong Hu:
Backdoor Defense via Deconfounded Representation Learning. CoRR abs/2303.06818 (2023) - [i61]Shuanghong Shen, Enhong Chen, Bihan Xu, Qi Liu, Zhenya Huang, Linbo Zhu, Yu Su:
Quiz-based Knowledge Tracing. CoRR abs/2304.02413 (2023) - [i60]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) - [i59]Zaixi Zhang, Qi Liu:
Learning Subpocket Prototypes for Generalizable Structure-based Drug Design. CoRR abs/2305.13997 (2023) - [i58]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) - [i57]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) - [i56]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) - [i55]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) - [i54]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) - [i53]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) - [i52]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) - [i51]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) - 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
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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]