2023年度论文
| 论文名称 | 期刊/会议名称 | 作者 | 发表时间 |
| HEProto: A Hierarchical Enhancing ProtoNet based on Multi-Task Learning for Few-shot Named Entity Recognition | CIKM 2023 | Wei Chen, Lili Zhao, Pengfei Luo, Tong Xu, Yi Zheng, Enhong Chen, | 2023.10 |
| Multimodal Biological Knowledge Graph Completion via Triple Co-attention Mechanism | ICDE 2023 | Derong Xu, Jingbo Zhou, Tong Xu, Yuan Xia, Ji Liu, Enhong Chen, Dejing Dou | 2023.04 |
| Adaptive Graph Attention Network with Temporal Fusion for Micro-Expressions Recognition | ICME 2023 | Yiming Zhang, Sirui Zhao, Hao Wang, Yifan Xu, Xinglong Mao, Tong Xu, Enhong Chen | 2023.07 |
| AU-aware Graph Convolutional Network for Macro- and Micro-Expression Spotting | ICME 2023 | Shukang Yin, Sirui Zhao, Shiwei Wu, Shifeng Liu, Wenhao Leng, Tong Xu, Enhong Chen | 2023.07 |
| Securing Recommender System via Cooperative Training | World Wide Web | Qingyang Wang, Chenwang Wu, Defu Lian* and Enhong Chen | 2023.11 |
| GridFormer: Spatial-Temporal Transformer Network for Citywide Crowd Flow Prediction | ECAI 2023 | Chaoqun Su, Chenwang Wu and Defu Lian* | 2023.09 |
| A Causality Inspired Framework for Model Interpretation | KDD 2023 | Chenwang Wu, Xiting Wang, Defu Lian*, Xing Xie, and Enhong Chen | 2023.08 |
| Influence-Driven Data Poisoning for Robust Recommender Systems | IEEE Transactions on Pattern Analysis and Machine Intelligence | Chenwang Wu, Defu Lian*, Yong Ge, Zhihao Zhu, and Enhong Chen | 2023.10 |
| RecStudio: Towards a Highly-Modularized Recommender System | SIGIR 2023 | Defu Lian, Xu Huang, Xiaolong Chen, Jin Chen, Yankai Wang, Haoran Jin, Rui Fan, Xingmei Wang, Zheng Liu, Le Wu and Enhong Chen | 2023.07 |
| Membership Inference Attacks Against Sequential Recommender Systems | WWW 2023 | Zhihao Zhu, Chenwang Wu, Rui Fan, Defu Lian* and Enhong Chen | 2023.04 |
| Query-aware Quantization for Maximum Inner Product Search | AAAI 2023 | Jin Zhang, Defu Lian*, Haodi Zhang, Baoyun Wang, Enhong Chen | 2023.02 |
| Locate Then Generate: Bridging Vision and Language with Bounding Box for Scene-Text VQA | AAAI 2023 | Yongxin Zhu, Zhen Liu, Yukang Liang, Xin Li, Hao Liu, Changcun Bao, Linli Xu | 2023.02 |
| DiffS2UT: A Semantic Preserving Diffusion Model for Textless Direct Speech-to-Speech Translation | EMNLP 2023 | Yongxin Zhu, Zhujin Gao, Xinyuan Zhou, Ye Zhongyi, and Linli Xu | 2023.12 |
| Communication-efficient federated learning with stagewise training strategy | Neural Networks | Yifei Cheng, Shuheng Shen, Xianfeng Liang, Jingchang Liu, Joya Chen, Tie Zhang, Enhong Chen | 2023.10 |
| Using Entropy for Group Sampling in Pairwise Ranking from implicit feedback | SIGIR 2023 | Yujie Chen, Runlong Yu, Qi Liu, Enhong Chen, Zhenya Huang | 2023.07 |
| FormerTime: Hierarchical Multi-scale Representation for Multivariate Time Series Classification | WWW 2023 | Mingyue Cheng, Qi Liu*, Zhiding Liu, Zhi Li, Yucong Luo, Enhong Chen | 2023.04 |
| Simulating Student Interactions with Two-stage Imitation Learning for Intelligent Educational Systems | CIKM 2023 | Guanhao Zhao, Zhenya Huang, Yan Zhuang, Jiayu Liu, Qi Liu, Zhiding Liu, Jinze Wu, and Enhong Chen | 2023.10 |
| Exploiting Non-Interactive Exercises in Cognitive Diagnosis | IJCAI 2023 | Fangzhou Yao, Qi Liu*, Min Hou, Shiwei Tong, Zhenya Huang, Enhong Chen, Jing Sha, and Shijin Wang | 2023.08 |
| Guiding Mathematical Reasoning via Mastering Commonsense Formula Knowledge | KDD 2023 | Jiayu Liu, Zhenya Huang, Zhiyuan Ma, Qi Liu, Enhong Chen, Tianhuang Su, Haifeng Liu | 2023.08 |
| Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning | AAAI 2023 | Jiayu Liu, Zhenya Huang, Chengxiang Zhai, Qi Liu | 2023.02 |
| Interventional Rationalization | EMNLP 2023 | Linan Yue, Qi Liu*, Li Wang, Yanqing An, Yichao Du, Zhenya Huang | 2023.12 |
| Keep Skills in Mind: Understanding and Implementing Skills in Commonsense Question Answering | IJCAI 2023 | Meikai Bao, Qi Liu*, Kai Zhang, Ye Liu, Linan Yue, Longfei Li, Jun Zhou | 2023.08 |
| Class-Dynamic and Hierarchy-Constrained Network for Entity Linking | DASFAA 2023 | Kehang Wang, Qi Liu*, Kai Zhang, Ye Liu, Hanqing Tao, Zhenya Huang, Enhong Chen | 2023.04 |
| MassNE: Exploring Higher-Order Interactions with Marginal Effect for Massive Battle Outcome Prediction | WWW 2023 | Yin Gu, Kai Zhang, Qi Liu*, Xin Lin, Zhenya Huang, Enhong Chen | 2023.04 |
| TechPat: Technical Phrase Extraction for Patent Mining | ACM
Transactions on Knowledge Discovery fromData | Ye Liu, Han Wu, Zhenya Huang, Hao Wang, Yuting Ning, Jianhui Ma, Qi Liu, Enhong Chen* | 2023.06 |
| Enhancing Hierarchical Text Classification through Knowledge Graph Integration | ACL 2023 | Ye Liu, Kai Zhang*, Zhenya Huang, Kehang Wang, Yanghai Zhang, Qi Liu, Enhong Chen* | 2023.07 |
| Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement | CIKM 2023 | Chao Zhang, Fangzhao Wu, Jingwei Yi, Derong Xu, Yang Yu, Jindong Wang, Yidong Wang, Tong Xu, Xing Xie, Enhong Chen | 2023.10 |
| Multi-Grained Multimodal Interaction Network for Entity Linking | KDD 2023 | Pengfei Luo, Tong Xu, Shiwei Wu, Chen Zhu, Linli Xu, Enhong Chen | 2023.08 |
| Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark | ACL 2023 | Wenjun Peng, Jingwei Yi, Fangzhao Wu, Shangxi Wu, Bin Benjamin Bin Zhu, Lingjuan Lyu, Binxing Jiao, Tong Xu, Guangzhong Sun, Xing Xie | 2023.07 |
| Time-interval Aware Share Recommendation via Bi-directional Continuous Time Dynamic Graphs | SIGIR 2023 | Ziwei Zhao, Xi Zhu, Tong Xu, Aakas Lizhiyu, Yu Yu, Xueying Li, Zikai Yin, Enhong Chen | 2023.07 |
| Social Context-aware GCN for Video Character Search via Scene-prior Enhancement | ICME 2023 | Wenjun Peng, Weidong He, Derong Xu, Tong Xu, Chen Zhu, Enhong Chen | 2023.07 |
| Enhong Chen, Few-shot Link Prediction for Event-based Social Networks via Meta-learning | DASFAA 2023 | Xi Zhu, Pengfei Luo, Ziwei Zhao, Tong Xu, Aakas LIZHIYU, Yu Yu, Xueying Li | 2023.04 |
| Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompts | EMNLP 2023 | Gangwei Jiang, Caigao Jiang, Siqiao Xue, James Y. Zhang, Jun Zhou, Defu Lian and Ying Wei | 2023.12 |
| Knowledge Distillation for High Dimensional Search Index | NeurIPS 2023 | Zepu Lu, Jin Chen, Defu Lian*, Zaixi Zhang, Yong Ge and Enhong Chen | 2023.12 |
| Deep Task-specific Bottom Representation Network for Multi-Task Recommendation | CIKM 2023 | Qi Liu, Zhilong Zhou, Gangwei Jiang, Tiezheng Ge and Defu Lian | 2023.10 |
| Learning Balanced Tree Indexes for Large-Scale Vector Retrieval | KDD 2023 | Wuchao Li, Chao Feng, Defu Lian*, Yuxin Xie, Haifeng Liu, Yong Ge, and Enhong Chen | 2023.08 |
| Learning to Substitute Spans towards Improving Compositional Generalization | ACL 2023 | Zhaoyi Li, Ying Wei and Defu Lian* | 2023.07 |
| RecStudio: Towards a Highly-Modularized Recommender System | SIGIR 2023 | Defu Lian, Xu Huang, Xiaolong Chen, Jin Chen, Yankai Wang, Haoran Jin, Rui Fan, Xingmei Wang, Zheng Liu, Le Wu and Enhong Chen | 2023.07 |
| Cooperative Retriever and Ranker in Deep Recommenders | WWW 2023 | Xu Huang, Defu Lian*, Jin Chen, Liu Zheng, Xing Xie and Enhong Chen | 2024.04 |
| AutoS2AE: Automate to Regularize Sparse Shallow Autoencoders for Recommendation | WWW 2023 | Rui Fan, Jin Chen, Yuanhao Pu, Zhihao Zhu, Defu Lian* and Enhong Chen | 2024.04 |
| Differentiable Multi-Codebook Quantization with Orthogonal Constraints | WWW 2023 | Zepu Lu, Defu Lian*, Jin Zhang, Zaixi Zhang, Chao Feng, Hao Wang and Enhong Chen | 2024.04 |
| Span-level Aspect-based Sentiment Analysis via Table Filling | ACL 2023 | Mao Zhang, Yongxin Zhu, Zhen Liu, Zhimin Bao, Yunfei Wu, Xing Sun, Linli Xu | 2023.07 |
| GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation | DASFAA 2023 | Yongqiang Han, Likang Wu, Hao Wang*, Guifeng Wang, Mengdi Zhang, Zhi Li, Defu Lian, and Enhong Chen | 2023.04 |
| KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification | IJCAI 2023 | Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang*, Defu Lian, Mengdi Zhang, Enhong Chen | 2023.08 |
| APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation | CIKM 2023 | Mingjia Yin, Hao Wang*, Xiang Xu, Likang Wu, Sirui Zhao, Wei Guo, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen | 2023.10 |
| NeuralCD: A General Framework for Cognitive Diagnosis | IEEE Transactions on Knowledge and Data Engineering | Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yu Yin, Shijin Wang, Yu Su | 2023.08 |
| Leveraging Transferable Knowledge Concept Graph Embedding for Cold-Start Cognitive Diagnosis | SIGIR 2023 | Weibo Gao, Hao Wang, Qi Liu*, Fei Wang, Xin Lin, Linan Yue, Zheng Zhang, Rui Lv, Shijin Wang | 2023.07 |
| BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning | AAAI 2023 | Haoyang Bi, Enhong Chen, Weidong He, Han Wu, Weihao Zhao, Shijin Wang, Jinze Wu | 2023.02 |
| Search-Efficient Computerized Adaptive Testing | CIKM 2023 | Yuting Hong, Shiwei Tong, Wei Huang, Yan Zhuang, Qi Liu, Enhong Chen*, Xin Li and Yuanjing He | 2023.10 |
| Learning Behavior-oriented Knowledge Tracing | KDD 2023 | Bihan Xu, Zhenya Huang*, Jiayu liu, Shuanghong Shen, Qi Liu, Enhong Chen, Jinze Wu, Shijin Wang | 2023.08 |
| A Mathematical Word Problem Generator with Structure Planning and Knowledge Enhancement | SIGIR 2023 | Longhu Qin, Jiayu Liu, Zhenya Huang, Kai Zhang, Qi Liu, Binbin Jin, Enhong Chen | 2023.07 |
| Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training | AAAI 2023 | Yuting Ning, Zhenya Huang, Xin Lin, Enhong Chen, Shiwei Tong, Zheng Gong, Shijin Wang | 2023.02 |
| An Efficient and Robust Semantic Hashing Framework for Similar Text Search | ACM Transactions on Information Systems | Liyang He, Zhenya Huang, Enhong Chen, Qi Liu, Shiwei Tong, Hao Wang, Defu Lian, Shijin Wang | 2023.04 |
| Learning from Crowds with Annotation Reliability | SIGIR 2023 | Zhi Cao, Enhong Chen, Ye Huang, Shuanghong Shen, Zhenya Huang | 2023.07 |
| PaperLM: A Pre-trained Model for Hierarchical Examination Paper Representation Learning | CIKM 2023 | Minghui Shan, Yixiao Ma, Shulan Ruan, Zhi Cao, Shiwei Tong, Qi Liu, Yu Su, Shijin Wang | 2023.10 |
| Personal or General? A Hybrid Strategy with Multi-factors for News Recommendation | ACM Transactions on Information Systems | Zhenya Huang, Binbin Jin, Hongke Zhao, Qi Liu, Defu Lian, Tengfei Bao, Enhong Chen | 2023.04 |
| Federated User Modeling from Hierarchical Information | ACM Transactions on Information Systems | Qi Liu, Jinze Wu, Zhenya Huang*, Hao Wang, Yuting Ning, Ming Chen, Enhong Chen | 2023.04 |
| Federated News Recommendation with Fine-grained Interpolation and Dynamic Clustering | CIKM 2023 | Sanshi Lei Yu,Qi Liu,Fei Wang,Yang Yu,Enhong Chen | 2023.10 |
| Untargeted attack against federated recommendation systems via poisonous item embeddings and the defense | AAAI 2023 | Yang Yu, Qi Liu, Likang Wu, Runlong Yu, Sanshi Lei Yu, Zaixi Zhang | 2023.02 |
| RHGN: Relation-gated Heterogeneous Graph Network for Entity Alignment in Knowledge Graphs | ACL 2023 | Xukai Liu, Kai Zhang, Ye Liu, Enhong Chen, Zhenya Huang, Linan Yue, Jiaxian Yan | 2023.07 |
| Learning Subpocket Prototypes For Generalizable Structure Based Drug Design | ICML 2023 | Zaixi Zhang, Qi Liu | 2023.07 |
| Full Atom Protein Pocket Design via Iterative Refinement | NeurIPS 2023 | Zaixi Zhang,Zepu Lu,Zhongkai Hao,Marinka Zitnik,Qi Liu | 2023.12 |
| Backdoor Defense via Deconfounded Representation Learning | CVPR 2023 | Zaixi Zhang, Qi Liu, Zhicai Wang, Zepu Lu, Qingyong Hu | 2023.06 |
| A Bounded Ability Estimation for Computerized Adaptive Testing | NeurIPS 2023 | Yan Zhuang, Qi Liu, GuanHao Zhao, Zhenya Huang, Weizhe Huang, Zachary Pardos, Enhong Chen, Jinze Wu, Xin Li | 2023.12 |
| 可信的端到端深度学生知识画像建模方法 | 计算机研究与发展 | 王士进，吴金泽，张浩天，沙晶，黄振亚，刘淇 | 2023.08 |
| Gradient-based Intra-attention Pruning on Pre-trained Language Models | ACL 2023 | Ziqing Yang , Yiming Cui, Xin Yao , Shijin Wang | 2023.07 |
| IDOL: Indicator-oriented Logic Pre-training for Logical Reasoning | ACL 2023 | Zihang Xu , Ziqing Yang , Yiming Cui, Shijin Wang | 2023.07 |
| Dynamic Cognitive Diagnosis: An Educational Priors-Enhanced Deep Knowledge Tracing Perspective | IEEE Transactions on Learning Technologies | Fei Wang, Zhenya Huang, Qi Liu, Enhong Chen, Yu Yin, Jianhui Ma, Shijin Wang | 2023.06 |
| 基于要点匹配的文科主观题通用评分 | 中文信息学报 | 王士进，巩捷甫，汪意发，宋巍，陈志刚，魏思 | 2023.06 |
| 基于多模态语义分析的试题推荐方法 | 中文信息学报 | 王士进，汪成成，张丹，魏思 | 2023.06 |
| Multi-Stage Coarse-to-Fine Contrastive Learning for Conversation Intent Induction | DSTC11 | Caiyuan Chu，Ya Li，Yifan Liu，Jiachen Gu，Quan Liu，Yongxin Ge，Guoping Hu | 2023.03 |
| Using deeply time-series semantics to assess depressive symptoms based on clinical interview speech | Frontiers in Psychiatry | Nanxi Li, Lei Feng, Jiaxue Hu, Lei Jiang, Jing Wang, Jiali Han, Lu Gan, Zhiyang He, Gang Wang | 2023.02 |
| 以解决社会刚需为导向型认知智能系统的技术挑战、路线及机会 | 中国人工智能学会通讯 | 胡国平，陈志刚，王士进，刘权，李鑫 | 2023.01 |
| Learning Relation-Enhanced Hierarchical Solver for Math Word Problems | IEEE Transactions on Neural Networks and learning systems | Xin Lin, Zhenya Huang, Hongke Zhao, Enhong Chen, Qi Liu, Defu Lian, Xin Li, Hao Wang | 2023.05 |
| 论文名称 | 期刊/会议名称 | 作者 | 发表时间 |
| HEProto: A Hierarchical Enhancing ProtoNet based on Multi-Task Learning for Few-shot Named Entity Recognition | CIKM 2023 | Wei Chen, Lili Zhao, Pengfei Luo, Tong Xu, Yi Zheng, Enhong Chen, | 2023.10 |
| Multimodal Biological Knowledge Graph Completion via Triple Co-attention Mechanism | ICDE 2023 | Derong Xu, Jingbo Zhou, Tong Xu, Yuan Xia, Ji Liu, Enhong Chen, Dejing Dou | 2023.04 |
| Adaptive Graph Attention Network with Temporal Fusion for Micro-Expressions Recognition | ICME 2023 | Yiming Zhang, Sirui Zhao, Hao Wang, Yifan Xu, Xinglong Mao, Tong Xu, Enhong Chen | 2023.07 |
| AU-aware Graph Convolutional Network for Macro- and Micro-Expression Spotting | ICME 2023 | Shukang Yin, Sirui Zhao, Shiwei Wu, Shifeng Liu, Wenhao Leng, Tong Xu, Enhong Chen | 2023.07 |
| Securing Recommender System via Cooperative Training | World Wide Web | Qingyang Wang, Chenwang Wu, Defu Lian* and Enhong Chen | 2023.11 |
| GridFormer: Spatial-Temporal Transformer Network for Citywide Crowd Flow Prediction | ECAI 2023 | Chaoqun Su, Chenwang Wu and Defu Lian* | 2023.09 |
| A Causality Inspired Framework for Model Interpretation | KDD 2023 | Chenwang Wu, Xiting Wang, Defu Lian*, Xing Xie, and Enhong Chen | 2023.08 |
| Influence-Driven Data Poisoning for Robust Recommender Systems | IEEE Transactions on Pattern Analysis and Machine Intelligence | Chenwang Wu, Defu Lian*, Yong Ge, Zhihao Zhu, and Enhong Chen | 2023.10 |
| RecStudio: Towards a Highly-Modularized Recommender System | SIGIR 2023 | Defu Lian, Xu Huang, Xiaolong Chen, Jin Chen, Yankai Wang, Haoran Jin, Rui Fan, Xingmei Wang, Zheng Liu, Le Wu and Enhong Chen | 2023.07 |
| Membership Inference Attacks Against Sequential Recommender Systems | WWW 2023 | Zhihao Zhu, Chenwang Wu, Rui Fan, Defu Lian* and Enhong Chen | 2023.04 |
| Query-aware Quantization for Maximum Inner Product Search | AAAI 2023 | Jin Zhang, Defu Lian*, Haodi Zhang, Baoyun Wang, Enhong Chen | 2023.02 |
| Locate Then Generate: Bridging Vision and Language with Bounding Box for Scene-Text VQA | AAAI 2023 | Yongxin Zhu, Zhen Liu, Yukang Liang, Xin Li, Hao Liu, Changcun Bao, Linli Xu | 2023.02 |
| DiffS2UT: A Semantic Preserving Diffusion Model for Textless Direct Speech-to-Speech Translation | EMNLP 2023 | Yongxin Zhu, Zhujin Gao, Xinyuan Zhou, Ye Zhongyi, and Linli Xu | 2023.12 |
| Communication-efficient federated learning with stagewise training strategy | Neural Networks | Yifei Cheng, Shuheng Shen, Xianfeng Liang, Jingchang Liu, Joya Chen, Tie Zhang, Enhong Chen | 2023.10 |
| Using Entropy for Group Sampling in Pairwise Ranking from implicit feedback | SIGIR 2023 | Yujie Chen, Runlong Yu, Qi Liu, Enhong Chen, Zhenya Huang | 2023.07 |
| FormerTime: Hierarchical Multi-scale Representation for Multivariate Time Series Classification | WWW 2023 | Mingyue Cheng, Qi Liu*, Zhiding Liu, Zhi Li, Yucong Luo, Enhong Chen | 2023.04 |
| Simulating Student Interactions with Two-stage Imitation Learning for Intelligent Educational Systems | CIKM 2023 | Guanhao Zhao, Zhenya Huang, Yan Zhuang, Jiayu Liu, Qi Liu, Zhiding Liu, Jinze Wu, and Enhong Chen | 2023.10 |
| Exploiting Non-Interactive Exercises in Cognitive Diagnosis | IJCAI 2023 | Fangzhou Yao, Qi Liu*, Min Hou, Shiwei Tong, Zhenya Huang, Enhong Chen, Jing Sha, and Shijin Wang | 2023.08 |
| Guiding Mathematical Reasoning via Mastering Commonsense Formula Knowledge | KDD 2023 | Jiayu Liu, Zhenya Huang, Zhiyuan Ma, Qi Liu, Enhong Chen, Tianhuang Su, Haifeng Liu | 2023.08 |
| Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning | AAAI 2023 | Jiayu Liu, Zhenya Huang, Chengxiang Zhai, Qi Liu | 2023.02 |
| Interventional Rationalization | EMNLP 2023 | Linan Yue, Qi Liu*, Li Wang, Yanqing An, Yichao Du, Zhenya Huang | 2023.12 |
| Keep Skills in Mind: Understanding and Implementing Skills in Commonsense Question Answering | IJCAI 2023 | Meikai Bao, Qi Liu*, Kai Zhang, Ye Liu, Linan Yue, Longfei Li, Jun Zhou | 2023.08 |
| Class-Dynamic and Hierarchy-Constrained Network for Entity Linking | DASFAA 2023 | Kehang Wang, Qi Liu*, Kai Zhang, Ye Liu, Hanqing Tao, Zhenya Huang, Enhong Chen | 2023.04 |
| MassNE: Exploring Higher-Order Interactions with Marginal Effect for Massive Battle Outcome Prediction | WWW 2023 | Yin Gu, Kai Zhang, Qi Liu*, Xin Lin, Zhenya Huang, Enhong Chen | 2023.04 |
| TechPat: Technical Phrase Extraction for Patent Mining | ACM
Transactions on Knowledge Discovery fromData | Ye Liu, Han Wu, Zhenya Huang, Hao Wang, Yuting Ning, Jianhui Ma, Qi Liu, Enhong Chen* | 2023.06 |
| Enhancing Hierarchical Text Classification through Knowledge Graph Integration | ACL 2023 | Ye Liu, Kai Zhang*, Zhenya Huang, Kehang Wang, Yanghai Zhang, Qi Liu, Enhong Chen* | 2023.07 |
| Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement | CIKM 2023 | Chao Zhang, Fangzhao Wu, Jingwei Yi, Derong Xu, Yang Yu, Jindong Wang, Yidong Wang, Tong Xu, Xing Xie, Enhong Chen | 2023.10 |
| Multi-Grained Multimodal Interaction Network for Entity Linking | KDD 2023 | Pengfei Luo, Tong Xu, Shiwei Wu, Chen Zhu, Linli Xu, Enhong Chen | 2023.08 |
| Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark | ACL 2023 | Wenjun Peng, Jingwei Yi, Fangzhao Wu, Shangxi Wu, Bin Benjamin Bin Zhu, Lingjuan Lyu, Binxing Jiao, Tong Xu, Guangzhong Sun, Xing Xie | 2023.07 |
| Time-interval Aware Share Recommendation via Bi-directional Continuous Time Dynamic Graphs | SIGIR 2023 | Ziwei Zhao, Xi Zhu, Tong Xu, Aakas Lizhiyu, Yu Yu, Xueying Li, Zikai Yin, Enhong Chen | 2023.07 |
| Social Context-aware GCN for Video Character Search via Scene-prior Enhancement | ICME 2023 | Wenjun Peng, Weidong He, Derong Xu, Tong Xu, Chen Zhu, Enhong Chen | 2023.07 |
| Enhong Chen, Few-shot Link Prediction for Event-based Social Networks via Meta-learning | DASFAA 2023 | Xi Zhu, Pengfei Luo, Ziwei Zhao, Tong Xu, Aakas LIZHIYU, Yu Yu, Xueying Li | 2023.04 |
| Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompts | EMNLP 2023 | Gangwei Jiang, Caigao Jiang, Siqiao Xue, James Y. Zhang, Jun Zhou, Defu Lian and Ying Wei | 2023.12 |
| Knowledge Distillation for High Dimensional Search Index | NeurIPS 2023 | Zepu Lu, Jin Chen, Defu Lian*, Zaixi Zhang, Yong Ge and Enhong Chen | 2023.12 |
| Deep Task-specific Bottom Representation Network for Multi-Task Recommendation | CIKM 2023 | Qi Liu, Zhilong Zhou, Gangwei Jiang, Tiezheng Ge and Defu Lian | 2023.10 |
| Learning Balanced Tree Indexes for Large-Scale Vector Retrieval | KDD 2023 | Wuchao Li, Chao Feng, Defu Lian*, Yuxin Xie, Haifeng Liu, Yong Ge, and Enhong Chen | 2023.08 |
| Learning to Substitute Spans towards Improving Compositional Generalization | ACL 2023 | Zhaoyi Li, Ying Wei and Defu Lian* | 2023.07 |
| RecStudio: Towards a Highly-Modularized Recommender System | SIGIR 2023 | Defu Lian, Xu Huang, Xiaolong Chen, Jin Chen, Yankai Wang, Haoran Jin, Rui Fan, Xingmei Wang, Zheng Liu, Le Wu and Enhong Chen | 2023.07 |
| Cooperative Retriever and Ranker in Deep Recommenders | WWW 2023 | Xu Huang, Defu Lian*, Jin Chen, Liu Zheng, Xing Xie and Enhong Chen | 2024.04 |
| AutoS2AE: Automate to Regularize Sparse Shallow Autoencoders for Recommendation | WWW 2023 | Rui Fan, Jin Chen, Yuanhao Pu, Zhihao Zhu, Defu Lian* and Enhong Chen | 2024.04 |
| Differentiable Multi-Codebook Quantization with Orthogonal Constraints | WWW 2023 | Zepu Lu, Defu Lian*, Jin Zhang, Zaixi Zhang, Chao Feng, Hao Wang and Enhong Chen | 2024.04 |
| Span-level Aspect-based Sentiment Analysis via Table Filling | ACL 2023 | Mao Zhang, Yongxin Zhu, Zhen Liu, Zhimin Bao, Yunfei Wu, Xing Sun, Linli Xu | 2023.07 |
| GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation | DASFAA 2023 | Yongqiang Han, Likang Wu, Hao Wang*, Guifeng Wang, Mengdi Zhang, Zhi Li, Defu Lian, and Enhong Chen | 2023.04 |
| KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification | IJCAI 2023 | Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang*, Defu Lian, Mengdi Zhang, Enhong Chen | 2023.08 |
| APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation | CIKM 2023 | Mingjia Yin, Hao Wang*, Xiang Xu, Likang Wu, Sirui Zhao, Wei Guo, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen | 2023.10 |
| NeuralCD: A General Framework for Cognitive Diagnosis | IEEE Transactions on Knowledge and Data Engineering | Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yu Yin, Shijin Wang, Yu Su | 2023.08 |
| Leveraging Transferable Knowledge Concept Graph Embedding for Cold-Start Cognitive Diagnosis | SIGIR 2023 | Weibo Gao, Hao Wang, Qi Liu*, Fei Wang, Xin Lin, Linan Yue, Zheng Zhang, Rui Lv, Shijin Wang | 2023.07 |
| BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning | AAAI 2023 | Haoyang Bi, Enhong Chen, Weidong He, Han Wu, Weihao Zhao, Shijin Wang, Jinze Wu | 2023.02 |
| Search-Efficient Computerized Adaptive Testing | CIKM 2023 | Yuting Hong, Shiwei Tong, Wei Huang, Yan Zhuang, Qi Liu, Enhong Chen*, Xin Li and Yuanjing He | 2023.10 |
| Learning Behavior-oriented Knowledge Tracing | KDD 2023 | Bihan Xu, Zhenya Huang*, Jiayu liu, Shuanghong Shen, Qi Liu, Enhong Chen, Jinze Wu, Shijin Wang | 2023.08 |
| A Mathematical Word Problem Generator with Structure Planning and Knowledge Enhancement | SIGIR 2023 | Longhu Qin, Jiayu Liu, Zhenya Huang, Kai Zhang, Qi Liu, Binbin Jin, Enhong Chen | 2023.07 |
| Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training | AAAI 2023 | Yuting Ning, Zhenya Huang, Xin Lin, Enhong Chen, Shiwei Tong, Zheng Gong, Shijin Wang | 2023.02 |
| An Efficient and Robust Semantic Hashing Framework for Similar Text Search | ACM Transactions on Information Systems | Liyang He, Zhenya Huang, Enhong Chen, Qi Liu, Shiwei Tong, Hao Wang, Defu Lian, Shijin Wang | 2023.04 |
| Learning from Crowds with Annotation Reliability | SIGIR 2023 | Zhi Cao, Enhong Chen, Ye Huang, Shuanghong Shen, Zhenya Huang | 2023.07 |
| PaperLM: A Pre-trained Model for Hierarchical Examination Paper Representation Learning | CIKM 2023 | Minghui Shan, Yixiao Ma, Shulan Ruan, Zhi Cao, Shiwei Tong, Qi Liu, Yu Su, Shijin Wang | 2023.10 |
| Personal or General? A Hybrid Strategy with Multi-factors for News Recommendation | ACM Transactions on Information Systems | Zhenya Huang, Binbin Jin, Hongke Zhao, Qi Liu, Defu Lian, Tengfei Bao, Enhong Chen | 2023.04 |
| Federated User Modeling from Hierarchical Information | ACM Transactions on Information Systems | Qi Liu, Jinze Wu, Zhenya Huang*, Hao Wang, Yuting Ning, Ming Chen, Enhong Chen | 2023.04 |
| Federated News Recommendation with Fine-grained Interpolation and Dynamic Clustering | CIKM 2023 | Sanshi Lei Yu,Qi Liu,Fei Wang,Yang Yu,Enhong Chen | 2023.10 |
| Untargeted attack against federated recommendation systems via poisonous item embeddings and the defense | AAAI 2023 | Yang Yu, Qi Liu, Likang Wu, Runlong Yu, Sanshi Lei Yu, Zaixi Zhang | 2023.02 |
| RHGN: Relation-gated Heterogeneous Graph Network for Entity Alignment in Knowledge Graphs | ACL 2023 | Xukai Liu, Kai Zhang, Ye Liu, Enhong Chen, Zhenya Huang, Linan Yue, Jiaxian Yan | 2023.07 |
| Learning Subpocket Prototypes For Generalizable Structure Based Drug Design | ICML 2023 | Zaixi Zhang, Qi Liu | 2023.07 |
| Full Atom Protein Pocket Design via Iterative Refinement | NeurIPS 2023 | Zaixi Zhang,Zepu Lu,Zhongkai Hao,Marinka Zitnik,Qi Liu | 2023.12 |
| Backdoor Defense via Deconfounded Representation Learning | CVPR 2023 | Zaixi Zhang, Qi Liu, Zhicai Wang, Zepu Lu, Qingyong Hu | 2023.06 |
| A Bounded Ability Estimation for Computerized Adaptive Testing | NeurIPS 2023 | Yan Zhuang, Qi Liu, GuanHao Zhao, Zhenya Huang, Weizhe Huang, Zachary Pardos, Enhong Chen, Jinze Wu, Xin Li | 2023.12 |
| 可信的端到端深度学生知识画像建模方法 | 计算机研究与发展 | 王士进，吴金泽，张浩天，沙晶，黄振亚，刘淇 | 2023.08 |
| Gradient-based Intra-attention Pruning on Pre-trained Language Models | ACL 2023 | Ziqing Yang , Yiming Cui, Xin Yao , Shijin Wang | 2023.07 |
| IDOL: Indicator-oriented Logic Pre-training for Logical Reasoning | ACL 2023 | Zihang Xu , Ziqing Yang , Yiming Cui, Shijin Wang | 2023.07 |
| Dynamic Cognitive Diagnosis: An Educational Priors-Enhanced Deep Knowledge Tracing Perspective | IEEE Transactions on Learning Technologies | Fei Wang, Zhenya Huang, Qi Liu, Enhong Chen, Yu Yin, Jianhui Ma, Shijin Wang | 2023.06 |
| 基于要点匹配的文科主观题通用评分 | 中文信息学报 | 王士进，巩捷甫，汪意发，宋巍，陈志刚，魏思 | 2023.06 |
| 基于多模态语义分析的试题推荐方法 | 中文信息学报 | 王士进，汪成成，张丹，魏思 | 2023.06 |
| Multi-Stage Coarse-to-Fine Contrastive Learning for Conversation Intent Induction | DSTC11 | Caiyuan Chu，Ya Li，Yifan Liu，Jiachen Gu，Quan Liu，Yongxin Ge，Guoping Hu | 2023.03 |
| Using deeply time-series semantics to assess depressive symptoms based on clinical interview speech | Frontiers in Psychiatry | Nanxi Li, Lei Feng, Jiaxue Hu, Lei Jiang, Jing Wang, Jiali Han, Lu Gan, Zhiyang He, Gang Wang | 2023.02 |
| 以解决社会刚需为导向型认知智能系统的技术挑战、路线及机会 | 中国人工智能学会通讯 | 胡国平，陈志刚，王士进，刘权，李鑫 | 2023.01 |
| Learning Relation-Enhanced Hierarchical Solver for Math Word Problems | IEEE Transactions on Neural Networks and learning systems | Xin Lin, Zhenya Huang, Hongke Zhao, Enhong Chen, Qi Liu, Defu Lian, Xin Li, Hao Wang | 2023.05 |