Qi Liu

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 316

Top Venues

Publications

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)
Zheng Zhang, Le Wu, Qi Liu, Jiayu Liu, Zhenya Huang, Yu Yin, Yan Zhuang, Weibo Gao, Enhong Chen
Understanding and improving fairness in cognitive diagnosis. Sci. China Inf. Sci. 67 (5) (2024)
Xinjie Sun, Kai Zhang, Shuanghong Shen, Fei Wang, Yuxiang Guo, Qi Liu
Target hierarchy-guided knowledge tracing : Fine-grained knowledge state modeling. Expert Syst. Appl. 251 (2024)
Runlong Yu, Qixiang Shao, Qi Liu, Huan Liu, Enhong Chen
Cognitive Evolutionary Learning to Select Feature Interactions for Recommender Systems. CoRR (2024)
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) (2024)
Haoyu Tang, Ye Liu, Xukai Liu, Kai Zhang, Yanghai Zhang, Qi Liu, Enhong Chen
Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models. CoRR (2024)
Zaixi Zhang, Qingyong Hu, Yang Yu, Weibo Gao, Qi Liu
FedGT: Federated Node Classification with Scalable Graph Transformer. CoRR (2024)
Jiatong Li, Renjun Hu, Kunzhe Huang, Yan Zhuang, Qi Liu, Mengxiao Zhu, Xing Shi, Wei Lin
PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations. CoRR (2024)
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. AAAI (2024)
Linan Yue, Qi Liu, Lili Zhao, Li Wang, Weibo Gao, Yanqing An
Event Grounded Criminal Court View Generation with Cooperative (Large) Language Models. CoRR (2024)
Zirui Hu, Zheng Zhang, Wenjun Feng, Qi Liu
Achieving Universal Fairness in Machine Learning: A Multi-objective Optimization Perspective. KSEM (2) (2024)
Yanghai Zhang, Ye Liu, Shiwei Wu, Kai Zhang, Xukai Liu, Qi Liu, Enhong Chen
Leveraging Entity Information for Cross-Modality Correlation Learning: The Entity-Guided Multimodal Summarization. ACL (Findings) (2024)
Qi Liu, Yan Zhuang, Haoyang Bi, Zhenya Huang, Weizhe Huang, Jiatong Li, Junhao Yu, Zirui Liu, Zirui Hu, Yuting Hong, Zachary A. Pardos, Haiping Ma, Mengxiao Zhu, Shijin Wang, Enhong Chen
Survey of Computerized Adaptive Testing: A Machine Learning Perspective. CoRR (2024)
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) (2024)
Yu Su, Xuejie Yang, Junyu Lu, Yu Liu, Ze Han, Shuanghong Shen, Zhenya Huang, Qi Liu
Multi-task Information Enhancement Recommendation model for educational Self-Directed Learning System. Expert Syst. Appl. 252 (2024)
Hao Jiang, Yanhui Tong, Bowen Song, Chao Wang, Jiahang Li, Qi Liu, Xingyi Zhang
A robustness division based multi-population evolutionary algorithm for solving vehicle routing problems with uncertain demand. Eng. Appl. Artif. Intell. 133 (2024)
Ye Liu, Jiajun Zhu, Kai Zhang, Haoyu Tang, Yanghai Zhang, Xukai Liu, Qi Liu, Enhong Chen
Detect, Investigate, Judge and Determine: A Novel LLM-based Framework for Few-shot Fake News Detection. CoRR (2024)
Yuze Zhao, Zhenya Huang, Yixiao Ma, Rui Li, Kai Zhang, Hao Jiang, Qi Liu, Linbo Zhu, Yu Su
RePair: Automated Program Repair with Process-based Feedback. ACL (Findings) (2024)
Linan Yue, Qi Liu, Yichao Du, Li Wang, Weibo Gao, Yanqing An
Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery. ICLR (2024)
Fei Wang, Haoyu Liu, Haoyang Bi, Xiangzhuang Shen, Renyu Zhu, Runze Wu, Minmin Lin, Tangjie Lv, Changjie Fan, Qi Liu, Zhenya Huang, Enhong Chen
A Dataset for the Validation of Truth Inference Algorithms Suitable for Online Deployment. CoRR (2024)
Linan Yue, Qi Liu, Ye Liu, Weibo Gao, Fangzhou Yao, Wenfeng Li
Cooperative Classification and Rationalization for Graph Generalization. CoRR (2024)
Mingyue Cheng, Hao Zhang, Qi Liu, Fajie Yuan, Zhi Li, Zhenya Huang, Enhong Chen, Jun Zhou, Longfei Li
Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness. CoRR (2024)
Zhenya Huang, Yuting Ning, Longhu Qin, Shiwei Tong, Shangzi Xue, Tong Xiao, Xin Lin, Jiayu Liu, Qi Liu, Enhong Chen, Shijing Wang
EduNLP: Towards a Unified and Modularized Library for Educational Resources. CoRR (2024)
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) (2024)
Yu Su, Ze Han, Shuanghong Shen, Xuejie Yang, Zhenya Huang, Jinze Wu, Huawei Zhou, Qi Liu
Constructing a Confidence-guided Multigraph Model for cognitive diagnosis in personalized learning. Expert Syst. Appl. 252 (2024)
Zheng Zhang, Qi Liu, Zirui Hu, Yi Zhan, Zhenya Huang, Weibo Gao, Qingyang Mao
Enhancing Fairness in Meta-learned User Modeling via Adaptive Sampling. WWW (2024)
Shuanghong Shen, Qi Liu, Zhenya Huang, Yonghe Zheng, Minghao Yin, Minjuan Wang, Enhong Chen
A Survey of Knowledge Tracing: Models, Variants, and Applications. IEEE Trans. Learn. Technol. 17 (2024)
Fei Wang, Weibo Gao, Qi Liu, Jiatong Li, Guanhao Zhao, Zheng Zhang, Zhenya Huang, Mengxiao Zhu, Shijin Wang, Wei Tong, Enhong Chen
A Survey of Models for Cognitive Diagnosis: New Developments and Future Directions. CoRR (2024)
Mingyue Cheng, Hao Zhang, Jiqian Yang, Qi Liu, Li Li, Xin Huang, Liwei Song, Zhi Li, Zhenya Huang, Enhong Chen
Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform. CoRR (2024)
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 (2024)
Qi Liu, Xuyang Hou, Defu Lian, Zhe Wang, Haoran Jin, Jia Cheng, Jun Lei
AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction. AAAI (2024)
Rui Li, Liyang He, Qi Liu, Yuze Zhao, Zheng Zhang, Zhenya Huang, Yu Su, Shijin Wang
CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework. AAAI (2024)
Linan Yue, Qi Liu, Ye Liu, Weibo Gao, Fangzhou Yao, Wenfeng Li
Cooperative Classification and Rationalization for Graph Generalization. WWW (2024)
Linan Yue, Qi Liu, Yichao Du, Li Wang, Weibo Gao, Yanqing An
Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery. CoRR (2024)
Fei Wang, Qi Liu, Enhong Chen, Chuanren Liu, Zhenya Huang, Jinze Wu, Shijin Wang
Unified Uncertainty Estimation for Cognitive Diagnosis Models. WWW (2024)
Xingmei Wang, Weiwen Liu, Xiaolong Chen, Qi Liu, Xu Huang, Defu Lian, Xiangyang Li, Yasheng Wang, Zhenhua Dong, Ruiming Tang
CELA: Cost-Efficient Language Model Alignment for CTR Prediction. CoRR (2024)
Ye Liu, Kai Zhang, Aoran Gan, Linan Yue, Feng Hu, Qi Liu, Enhong Chen
Empowering Few-Shot Relation Extraction with The Integration of Traditional RE Methods and Large Language Models. CoRR (2024)
Lili Zhao, Qi Liu, Linan Yue, Wei Chen, Liyi Chen, Ruijun Sun, Chao Song
COMI: COrrect and MItigate Shortcut Learning Behavior in Deep Neural Networks. SIGIR (2024)
Jinze Wu, Haotian Zhang, Zhenya Huang, Liang Ding, Qi Liu, Jing Sha, Enhong Chen, Shijin Wang
Graph-based Student Knowledge Profile for Online Intelligent Education. SDM (2024)
Fei Wang, Qi Liu, Enhong Chen, Chuanren Liu, Zhenya Huang, Jinze Wu, Shijin Wang
Unified Uncertainty Estimation for Cognitive Diagnosis Models. CoRR (2024)
Jiatong Li, Qi Liu, Fei Wang, Jiayu Liu, Zhenya Huang, Fangzhou Yao, Linbo Zhu, Yu Su
Towards the Identifiability and Explainability for Personalized Learner Modeling: An Inductive Paradigm. WWW (2024)
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)
Mingyue Cheng, Hao Zhang, Jiqian Yang, Qi Liu, Li Li, Xin Huang, Liwei Song, Zhi Li, Zhenya Huang, Enhong Chen
Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform. WWW (Companion Volume) (2024)
Qi Liu, Yongyi He, Defu Lian, Zhi Zheng, Tong Xu, Liu Che, Enhong Chen
UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models. CoRR (2024)
Yin Gu, Kai Zhang, Qi Liu, Weibo Gao, Longfei Li, Jun Zhou
π-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control. AAAI (2024)
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)
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) (2023)
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) (2023)
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) (2023)
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 (2023)
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 (2023)
Junzhe Jiang, Shang Qu, Mingyue Cheng, Qi Liu
Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling. CoRR (2023)
Wenqiang He, Mingyue Cheng, Qi Liu, Zhi Li
ShapeWordNet: An Interpretable Shapelet Neural Network for Physiological Signal Classification. DASFAA (4) (2023)
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) (2023)
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) (2023)
Zaixi Zhang, Qi Liu, Chee-Kong Lee, Chang-Yu Hsieh, Enhong Chen
An Equivariant Generative Framework for Molecular Graph-Structure Co-Design. CoRR (2023)
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 (2023)
Jiatong Li, Qi Liu, Fei Wang, Jiayu Liu, Zhenya Huang, Enhong Chen
Identifiable Cognitive Diagnosis with Encoder-decoder for Modelling Students' Performance. CoRR (2023)
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) (2023)
Zaixi Zhang, Qi Liu
Learning Subpocket Prototypes for Generalizable Structure-based Drug Design. ICML (2023)
Mingyue Cheng, Qi Liu, Zhiding Liu, Hao Zhang, Rujiao Zhang, Enhong Chen
TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders. CoRR (2023)
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) (2023)
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) (2023)
Zaixi Zhang, Zepu Lu, Zhongkai Hao, Marinka Zitnik, Qi Liu
Full-Atom Protein Pocket Design via Iterative Refinement. NeurIPS (2023)
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 (2023)
Zaixi Zhang, Qi Liu, Zhicai Wang, Zepu Lu, Qingyong Hu
Backdoor Defense via Deconfounded Representation Learning. CVPR (2023)
Runlong Yu, Qi Liu, Yuyang Ye, Mingyue Cheng, Enhong Chen, Jianhui Ma
Collaborative List-and-Pairwise Filtering from Implicit Feedback : Extended Abstract. ICDE (2023)
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) (2023)
Zaixi Zhang, Jiaxian Yan, Qi Liu, Enhong Chen
A Systematic Survey in Geometric Deep Learning for Structure-based Drug Design. CoRR (2023)
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)
Zaixi Zhang, Qi Liu, Zhicai Wang, Zepu Lu, Qingyong Hu
Backdoor Defense via Deconfounded Representation Learning. CoRR (2023)
Jiayu Liu, Zhenya Huang, Chengxiang Zhai, Qi Liu
Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning. CoRR (2023)
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) (2023)
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) (2023)
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)
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)
Bihan Xu, Zhenya Huang, Jiayu Liu, Shuanghong Shen, Qi Liu, Enhong Chen, Jinze Wu, Shijin Wang
Learning Behavior-oriented Knowledge Tracing. KDD (2023)
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)
Jiayu Liu, Zhenya Huang, ChengXiang Zhai, Qi Liu
Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning. AAAI (2023)
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 (2023)
Zaixi Zhang, Qi Liu
Learning Subpocket Prototypes for Generalizable Structure-based Drug Design. CoRR (2023)
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) (2023)
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) (2023)
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) (2023)
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) (2023)
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) (2023)
Hao Zhang, Mingyue Cheng, Qi Liu, Zhiding Liu, Enhong Chen
Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems. CoRR (2023)
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) (2023)
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 (2023)
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)
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)
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)
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)
Ziyang Xiang, Zaixi Zhang, Qi Liu
Sparse Attention-Based Neural Networks for Code Classification. CoRR (2023)
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)
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) (2023)
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) (2023)
Yujie Chen, Runlong Yu, Qi Liu, Enhong Chen, Zhenya Huang
Using Entropy for Group Sampling in Pairwise Ranking from implicit feedback. SIGIR (2023)
Mingyue Cheng, Qi Liu, Zhiding Liu, Zhi Li, Yucong Luo, Enhong Chen
FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification. WWW (2023)
Jiayu Liu, Zhenya Huang, Zhiyuan Ma, Qi Liu, Enhong Chen, Tianhuang Su, Haifeng Liu
Guiding Mathematical Reasoning via Mastering Commonsense Formula Knowledge. KDD (2023)

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Publication Activity (10 Years)

Top Topics

Top Venues

Qi Liu