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ORCIDYixin Cao 0002
Person information
- affiliation: Singapore Management University, Singapore
- affiliation (former): National University of Singapore, School of Computing, Singapore
- affiliation (PhD): Tsinghua University, Beijing, Department of Computer Science and Technology
Other persons with the same name
- Yixin Cao 0001
![[0000-0002-6927-438X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6927-438X")
— Hong Kong Polytechnic University, Department of Computing (and 2 more) - Yixin Cao 0003 — Zhong An Information and Technology Service Co., Ltd, Shanghai, China
- Yixin Cao 0004 — School of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou, China (and 1 more)
- Yixin Cao 0006 — Fudan University, School of Computer Science, Shanghai, China
- Yixin Cao 0007 — Hebei University of Technology, School of Artificial Intelligence and Data Science, Tianjin, China
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2020 – today
- 2024
[j6]Tao He, Ming Liu, Yixin Cao, Meng Qu, Zihao Zheng, Bing Qin:
VEM2L: an easy but effective framework for fusing text and structure knowledge on sparse knowledge graph completion. Data Min. Knowl. Discov. 38(2): 343-371 (2024)- [j5]Changsen Yuan, Heyan Huang, Yixin Cao, Qianwen Cao:
Screening through a broad pool: Towards better diversity for lexically constrained text generation. Inf. Process. Manag. 61(2): 103602 (2024) - [j4]Heyan Huang, Changsen Yuan, Qian Liu, Yixin Cao:
Document-level Relation Extraction via Separate Relation Representation and Logical Reasoning. ACM Trans. Inf. Syst. 42(1): 22:1-22:24 (2024) - [c67]Xinze Li, Yixin Cao, Liangming Pan, Yubo Ma, Aixin Sun:
Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution. ACL (Findings) 2024: 493-516 - [c66]Haowen Pan, Yixin Cao, Xiaozhi Wang, Xun Yang, Meng Wang:
Finding and Editing Multi-Modal Neurons in Pre-Trained Transformers. ACL (Findings) 2024: 1012-1037 - [c65]Zhihan Zhang, Yixin Cao, Chenchen Ye, Yunshan Ma, Lizi Liao, Tat-Seng Chua:
Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding. ACL (1) 2024: 1588-1606 - [c64]Jiahao Ying, Yixin Cao, Kai Xiong, Long Cui, Yidong He, Yongbin Liu:
Intuitive or Dependent? Investigating LLMs' Behavior Style to Conflicting Prompts. ACL (1) 2024: 4221-4246 - [c63]Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Ming Liu, Zerui Chen, Bing Qin:
Planning Like Human: A Dual-process Framework for Dialogue Planning. ACL (1) 2024: 4768-4791 - [c62]Meiqi Chen, Yubo Ma, Kaitao Song, Yixin Cao, Yan Zhang, Dongsheng Li:
Improving Large Language Models in Event Relation Logical Prediction. ACL (1) 2024: 9451-9478 - [c61]Changyi Xiao, Yixin Cao:
Complex Logical Query Answering by Calibrating Knowledge Graph Completion Models. ACL (Findings) 2024: 13792-13803 - [c60]Meishan Zhang, Hao Fei, Bin Wang, Shengqiong Wu, Yixin Cao, Fei Li, Min Zhang:
Recognizing Everything from All Modalities at Once: Grounded Multimodal Universal Information Extraction. ACL (Findings) 2024: 14498-14511 - [c59]Minqian Liu, Ying Shen, Zhiyang Xu, Yixin Cao, Eunah Cho, Vaibhav Kumar, Reza Ghanadan, Lifu Huang:
X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects. NAACL-HLT 2024: 8560-8579 - [i58]Yubo Ma, Zhibin Gou, Junheng Hao, Ruochen Xu, Shuohang Wang, Liangming Pan, Yujiu Yang, Yixin Cao, Aixin Sun, Hany Hassan Awadalla, Weizhu Chen:
SciAgent: Tool-augmented Language Models for Scientific Reasoning. CoRR abs/2402.11451 (2024) - [i57]Jiahao Ying, Yixin Cao, Bo Wang, Wei Tang, Yizhe Yang, Shuicheng Yan:
Have Seen Me Before? Automating Dataset Updates Towards Reliable and Timely Evaluation. CoRR abs/2402.11894 (2024) - [i56]Hao Peng, Xiaozhi Wang, Chunyang Li, Kaisheng Zeng, Jiangshan Duo, Yixin Cao, Lei Hou, Juanzi Li:
Event-level Knowledge Editing. CoRR abs/2402.13093 (2024) - [i55]Kai Xiong, Xiao Ding, Ting Liu, Bing Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Yixin Cao:
Meaningful Learning: Advancing Abstract Reasoning in Large Language Models via Generic Fact Guidance. CoRR abs/2403.09085 (2024) - [i54]Meiqi Chen, Yixin Cao, Yan Zhang, Chaochao Lu:
Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspective. CoRR abs/2403.18346 (2024) - [i53]Zhihan Zhang, Yixin Cao, Chenchen Ye, Yunshan Ma, Lizi Liao, Tat-Seng Chua:
Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding. CoRR abs/2406.02472 (2024) - [i52]Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Ming Liu, Zerui Chen, Bing Qin:
Planning Like Human: A Dual-process Framework for Dialogue Planning. CoRR abs/2406.05374 (2024) - [i51]Bo Wang, Heyan Huang, Yixin Cao, Jiahao Ying, Wei Tang, Chong Feng:
QRMeM: Unleash the Length Limitation through Question then Reflection Memory Mechanism. CoRR abs/2406.13167 (2024) - [i50]Yubo Ma, Yuhang Zang, Liangyu Chen, Meiqi Chen, Yizhu Jiao, Xinze Li, Xinyuan Lu, Ziyu Liu, Yan Ma, Xiaoyi Dong, Pan Zhang, Liangming Pan, Yu-Gang Jiang, Jiaqi Wang, Yixin Cao, Aixin Sun:
MMLongBench-Doc: Benchmarking Long-context Document Understanding with Visualizations. CoRR abs/2407.01523 (2024) - [i49]Kai Xiong, Xiao Ding, Li Du, Jiahao Ying, Ting Liu, Bing Qin, Yixin Cao:
Diagnosing and Remedying Knowledge Deficiencies in LLMs via Label-free Curricular Meaningful Learning. CoRR abs/2408.11431 (2024) - [i48]Zehao Wang, Minye Wu, Yixin Cao, Yubo Ma, Meiqi Chen, Tinne Tuytelaars:
Navigating the Nuances: A Fine-grained Evaluation of Vision-Language Navigation. CoRR abs/2409.17313 (2024) - [i47]Changyi Xiao, Xiangnan He, Yixin Cao:
Knowledge Graph Embedding by Normalizing Flows. CoRR abs/2409.19977 (2024) - 2023
- [j3]Zhihua Tao, Chunping Ouyang, Yongbin Liu, Tong Lee Chung, Yixin Cao:
Multi-head attention graph convolutional network model: End-to-end entity and relation joint extraction based on multi-head attention graph convolutional network. CAAI Trans. Intell. Technol. 8(2): 468-477 (2023) - [j2]Changsen Yuan, Yixin Cao, Heyan Huang:
Collective prompt tuning with relation inference for document-level relation extraction. Inf. Process. Manag. 60(5): 103451 (2023) - [j1]Yixin Cao, Jun Kuang, Ming Gao, Aoying Zhou, Yonggang Wen, Tat-Seng Chua:
Learning Relation Prototype From Unlabeled Texts for Long-Tail Relation Extraction. IEEE Trans. Knowl. Data Eng. 35(2): 1761-1774 (2023) - [c58]Changyi Xiao, Xiangnan He, Yixin Cao:
Knowledge Graph Embedding by Normalizing Flows. AAAI 2023: 4756-4764 - [c57]Xinze Li, Yixin Cao, Muhao Chen, Aixin Sun:
Take a Break in the Middle: Investigating Subgoals towards Hierarchical Script Generation. ACL (Findings) 2023: 10129-10147 - [c56]Meiqi Chen, Yixin Cao, Yan Zhang, Zhiwei Liu:
CHEER: Centrality-aware High-order Event Reasoning Network for Document-level Event Causality Identification. ACL (1) 2023: 10804-10816 - [c55]Yubo Ma, Zehao Wang, Yixin Cao, Aixin Sun:
Few-shot Event Detection: An Empirical Study and a Unified View. ACL (1) 2023: 11211-11236 - [c54]Shengqiong Wu, Hao Fei, Yixin Cao, Lidong Bing, Tat-Seng Chua:
Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling. ACL (1) 2023: 14734-14751 - [c53]Changsen Yuan, Heyan Huang, Yixin Cao, Yonggang Wen:
Discriminative Reasoning with Sparse Event Representation for Document-level Event-Event Relation Extraction. ACL (1) 2023: 16222-16234 - [c52]Moxin Li, Wenjie Wang, Fuli Feng, Yixin Cao, Jizhi Zhang, Tat-Seng Chua:
Robust Prompt Optimization for Large Language Models Against Distribution Shifts. EMNLP 2023: 1539-1554 - [c51]Lin Ren, Yongbin Liu, Yixin Cao, Chunping Ouyang:
CoVariance-based Causal Debiasing for Entity and Relation Extraction. EMNLP (Findings) 2023: 2627-2640 - [c50]Ruihao Shui, Yixin Cao, Xiang Wang, Tat-Seng Chua:
A Comprehensive Evaluation of Large Language Models on Legal Judgment Prediction. EMNLP (Findings) 2023: 7337-7348 - [c49]Kai Xiong, Xiao Ding, Yixin Cao, Ting Liu, Bing Qin:
Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate. EMNLP (Findings) 2023: 7572-7590 - [c48]Yubo Ma, Yixin Cao, Yong Hong, Aixin Sun:
Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples! EMNLP (Findings) 2023: 10572-10601 - [c47]Zhiyuan Liu, Sihang Li, Yanchen Luo, Hao Fei, Yixin Cao, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua:
MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter. EMNLP 2023: 15623-15638 - [c46]Yan Meng, Liangming Pan, Yixin Cao, Min-Yen Kan:
FollowupQG: Towards information-seeking follow-up question generation. IJCNLP (1) 2023: 252-271 - [c45]Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Tat-Seng Chua:
Context-aware Event Forecasting via Graph Disentanglement. KDD 2023: 1643-1652 - [c44]Yu Zhao, Hao Fei, Yixin Cao, Bobo Li, Meishan Zhang, Jianguo Wei, Min Zhang, Tat-Seng Chua:
Constructing Holistic Spatio-Temporal Scene Graph for Video Semantic Role Labeling. ACM Multimedia 2023: 5281-5291 - [c43]Yushi Bai, Jiahao Ying, Yixin Cao, Xin Lv, Yuze He, Xiaozhi Wang, Jifan Yu, Kaisheng Zeng, Yijia Xiao, Haozhe Lyu, Jiayin Zhang, Juanzi Li, Lei Hou:
Benchmarking Foundation Models with Language-Model-as-an-Examiner. NeurIPS 2023 - [i46]Yubo Ma, Yixin Cao, YongChing Hong, Aixin Sun:
Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples! CoRR abs/2303.08559 (2023) - [i45]Yubo Ma, Zehao Wang, Yixin Cao, Aixin Sun:
Few-shot Event Detection: An Empirical Study and a Unified View. CoRR abs/2305.01901 (2023) - [i44]Xinze Li, Yixin Cao, Muhao Chen, Aixin Sun:
Take a Break in the Middle: Investigating Subgoals towards Hierarchical Script Generation. CoRR abs/2305.10907 (2023) - [i43]Kai Xiong, Xiao Ding, Yixin Cao, Ting Liu, Bing Qin:
Examining the Inter-Consistency of Large Language Models: An In-depth Analysis via Debate. CoRR abs/2305.11595 (2023) - [i42]Shengqiong Wu, Hao Fei, Yixin Cao, Lidong Bing, Tat-Seng Chua:
Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling. CoRR abs/2305.11719 (2023) - [i41]Yushi Bai, Jiahao Ying, Yixin Cao, Xin Lv, Yuze He, Xiaozhi Wang, Jifan Yu, Kaisheng Zeng, Yijia Xiao, Haozhe Lyu, Jiayin Zhang, Juanzi Li, Lei Hou:
Benchmarking Foundation Models with Language-Model-as-an-Examiner. CoRR abs/2306.04181 (2023) - [i40]Tao He, Ming Liu, Yixin Cao, Zekun Wang, Zihao Zheng, Zheng Chu, Bing Qin:
Exploring & Exploiting High-Order Graph Structure for Sparse Knowledge Graph Completion. CoRR abs/2306.17034 (2023) - [i39]Yu Zhao, Hao Fei, Yixin Cao, Bobo Li, Meishan Zhang, Jianguo Wei, Min Zhang, Tat-Seng Chua:
Constructing Holistic Spatio-Temporal Scene Graph for Video Semantic Role Labeling. CoRR abs/2308.05081 (2023) - [i38]Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Tat-Seng Chua:
Context-aware Event Forecasting via Graph Disentanglement. CoRR abs/2308.06480 (2023) - [i37]Yan Meng, Liangming Pan, Yixin Cao, Min-Yen Kan:
FOLLOWUPQG: Towards Information-Seeking Follow-up Question Generation. CoRR abs/2309.05007 (2023) - [i36]Jiahao Ying, Yixin Cao, Kai Xiong, Yidong He, Long Cui, Yongbin Liu:
Intuitive or Dependent? Investigating LLMs' Robustness to Conflicting Prompts. CoRR abs/2309.17415 (2023) - [i35]Xinze Li, Yixin Cao, Liangming Pan, Yubo Ma, Aixin Sun:
Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution. CoRR abs/2310.05634 (2023) - [i34]Meiqi Chen, Yubo Ma, Kaitao Song, Yixin Cao, Yan Zhang, Dongsheng Li:
Learning To Teach Large Language Models Logical Reasoning. CoRR abs/2310.09158 (2023) - [i33]Ruihao Shui, Yixin Cao, Xiang Wang, Tat-Seng Chua:
A Comprehensive Evaluation of Large Language Models on Legal Judgment Prediction. CoRR abs/2310.11761 (2023) - [i32]Zhiyuan Liu, Sihang Li, Yanchen Luo, Hao Fei, Yixin Cao, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua:
MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter. CoRR abs/2310.12798 (2023) - [i31]Haowen Pan, Yixin Cao, Xiaozhi Wang, Xun Yang:
Finding and Editing Multi-Modal Neurons in Pre-Trained Transformer. CoRR abs/2311.07470 (2023) - [i30]Minqian Liu, Ying Shen, Zhiyang Xu, Yixin Cao, Eunah Cho, Vaibhav Kumar, Reza Ghanadan, Lifu Huang:
X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects. CoRR abs/2311.08788 (2023) - [i29]Yuhan Sun, Mukai Li, Yixin Cao, Kun Wang, Wenxiao Wang, Xingyu Zeng, Rui Zhao:
To be or not to be? an exploration of continuously controllable prompt engineering. CoRR abs/2311.09773 (2023) - [i28]Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Liang Pang, Tat-Seng Chua:
Structured, Complex and Time-complete Temporal Event Forecasting. CoRR abs/2312.01052 (2023) - 2022
- [c42]Yubo Ma, Zehao Wang, Mukai Li, Yixin Cao, Meiqi Chen, Xinze Li, Wenqi Sun, Kunquan Deng, Kun Wang, Aixin Sun, Jing Shao:
MMEKG: Multi-modal Event Knowledge Graph towards Universal Representation across Modalities. ACL (demo) 2022: 231-239 - [c41]Xin Lv, Yankai Lin, Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Peng Li, Jie Zhou:
Do Pre-trained Models Benefit Knowledge Graph Completion? A Reliable Evaluation and a Reasonable Approach. ACL (Findings) 2022: 3570-3581 - [c40]Yubo Ma, Zehao Wang, Yixin Cao, Mukai Li, Meiqi Chen, Kun Wang, Jing Shao:
Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction. ACL (1) 2022: 6759-6774 - [c39]Kaisheng Zeng, Zhenhao Dong, Lei Hou, Yixin Cao, Minghao Hu, Jifan Yu, Xin Lv, Lei Cao, Xin Wang, Haozhuang Liu, Yi Huang, Junlan Feng, Jing Wan, Juanzi Li, Ling Feng:
Interactive Contrastive Learning for Self-Supervised Entity Alignment. CIKM 2022: 2465-2475 - [c38]Meiqi Chen, Yixin Cao, Kunquan Deng, Mukai Li, Kun Wang, Jing Shao, Yan Zhang:
ERGO: Event Relational Graph Transformer for Document-level Event Causality Identification. COLING 2022: 2118-2128 - [c37]Hao Wang, Yixin Cao, Yangguang Li, Zhen Huang, Kun Wang, Jing Shao:
R2F: A General Retrieval, Reading and Fusion Framework for Document-level Natural Language Inference. EMNLP 2022: 3122-3134 - [c36]Linhai Zhuo, Yuqian Fu, Jingjing Chen, Yixin Cao, Yu-Gang Jiang:
TGDM: Target Guided Dynamic Mixup for Cross-Domain Few-Shot Learning. ACM Multimedia 2022: 6368-6376 - [c35]Meihan Tong, Bin Xu, Shuai Wang, Meihuan Han, Yixin Cao, Jiangqi Zhu, Siyu Chen, Lei Hou, Juanzi Li:
DocEE: A Large-Scale and Fine-grained Benchmark for Document-level Event Extraction. NAACL-HLT 2022: 3970-3982 - [c34]Li Lin, Yixin Cao, Lifu Huang, Shu'ang Li, Xuming Hu, Lijie Wen, Jianmin Wang:
What Makes the Story Forward?: Inferring Commonsense Explanations as Prompts for Future Event Generation. SIGIR 2022: 1098-1109 - [i27]Zhiyuan Liu, Yixin Cao, Fuli Feng, Xiang Wang, Xindi Shang, Jie Tang, Kenji Kawaguchi, Tat-Seng Chua:
Training Free Graph Neural Networks for Graph Matching. CoRR abs/2201.05349 (2022) - [i26]Kaisheng Zeng, Zhenhao Dong, Lei Hou, Yixin Cao, Minghao Hu, Jifan Yu, Xin Lv, Juanzi Li, Ling Feng:
ICLEA: Interactive Contrastive Learning for Self-supervised Entity Alignment. CoRR abs/2201.06225 (2022) - [i25]Li Lin, Yixin Cao, Lifu Huang, Shu'ang Li, Xuming Hu, Lijie Wen, Jianmin Wang:
Inferring Commonsense Explanations as Prompts for Future Event Generation. CoRR abs/2201.07099 (2022) - [i24]Yubo Ma, Zehao Wang, Yixin Cao, Mukai Li, Meiqi Chen, Kun Wang, Jing Shao:
Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction. CoRR abs/2202.12109 (2022) - [i23]Meiqi Chen, Yixin Cao, Kunquan Deng, Mukai Li, Kun Wang, Jing Shao, Yan Zhang:
ERGO: Event Relational Graph Transformer for Document-level Event Causality Identification. CoRR abs/2204.07434 (2022) - [i22]Weijian Chen, Yixin Cao, Fuli Feng, Xiangnan He, Yongdong Zhang:
Explainable Sparse Knowledge Graph Completion via High-order Graph Reasoning Network. CoRR abs/2207.07503 (2022) - [i21]Linhai Zhuo, Yuqian Fu, Jingjing Chen, Yixin Cao, Yu-Gang Jiang:
TGDM: Target Guided Dynamic Mixup for Cross-Domain Few-Shot Learning. CoRR abs/2210.05392 (2022) - [i20]Hao Wang, Yixin Cao, Yangguang Li, Zhen Huang, Kun Wang, Jing Shao:
R2F: A General Retrieval, Reading and Fusion Framework for Document-level Natural Language Inference. CoRR abs/2210.12328 (2022) - 2021
- [c33]Zikun Hu, Yixin Cao, Lifu Huang, Tat-Seng Chua:
How Knowledge Graph and Attention Help? A Qualitative Analysis into Bag-level Relation Extraction. ACL/IJCNLP (1) 2021: 4662-4671 - [c32]Meihan Tong, Shuai Wang, Bin Xu, Yixin Cao, Minghui Liu, Lei Hou, Juanzi Li:
Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition. ACL/IJCNLP (1) 2021: 6236-6247 - [c31]Yixin Cao, Xiang Ji, Xin Lv, Juanzi Li, Yonggang Wen, Hanwang Zhang:
Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion. ACL/IJCNLP (1) 2021: 6855-6865 - [c30]Xin Lv, Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Yichi Zhang, Zelin Dai:
Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability. EMNLP (1) 2021: 8899-8911 - [c29]Fuli Feng, Xilin Rui, Wenjie Wang, Yixin Cao, Tat-Seng Chua:
Pre-training and evaluation of numeracy-oriented language model. ICAIF 2021: 47:1-47:8 - [c28]Meng Shen, Huaizheng Zhang, Yixin Cao, Fan Yang, Yonggang Wen:
Missing Data Imputation for Solar Yield Prediction using Temporal Multi-Modal Variational Auto-Encoder. ACM Multimedia 2021: 2558-2566 - [i19]Xin Lv, Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Yichi Zhang, Zelin Dai:
Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability. CoRR abs/2104.06751 (2021) - [i18]Meihan Tong, Shuai Wang, Bin Xu, Yixin Cao, Minghui Liu, Lei Hou, Juanzi Li:
Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition. CoRR abs/2106.15167 (2021) - [i17]Zikun Hu, Yixin Cao, Lifu Huang, Tat-Seng Chua:
How Knowledge Graph and Attention Help? A Quantitative Analysis into Bag-level Relation Extraction. CoRR abs/2107.12064 (2021) - [i16]Yixin Cao, Xiang Ji, Xin Lv, Juanzi Li, Yonggang Wen, Hanwang Zhang:
Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion. CoRR abs/2108.01387 (2021) - 2020
- [c27]Meihan Tong, Shuai Wang, Yixin Cao, Bin Xu, Juanzi Li, Lei Hou, Tat-Seng Chua:
Image Enhanced Event Detection in News Articles. AAAI 2020: 9040-9047 - [c26]Yixin Cao, Ruihao Shui, Liangming Pan, Min-Yen Kan, Zhiyuan Liu, Tat-Seng Chua:
Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen. ACL 2020: 1061-1071 - [c25]Meihan Tong, Bin Xu, Shuai Wang, Yixin Cao, Lei Hou, Juanzi Li, Jun Xie:
Improving Event Detection via Open-domain Trigger Knowledge. ACL 2020: 5887-5897 - [c24]Zhiyuan Liu, Yixin Cao, Liangming Pan, Juanzi Li, Tat-Seng Chua:
Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment. EMNLP (1) 2020: 6355-6364 - [c23]Jun Kuang, Yixin Cao, Jianbing Zheng, Xiangnan He, Ming Gao, Aoying Zhou:
Improving Neural Relation Extraction with Implicit Mutual Relations. ICDE 2020: 1021-1032 - [c22]Xun Yang, Jianfeng Dong, Yixin Cao, Xun Wang, Meng Wang, Tat-Seng Chua:
Tree-Augmented Cross-Modal Encoding for Complex-Query Video Retrieval. SIGIR 2020: 1339-1348 - [c21]Xiang Wang, Yaokun Xu, Xiangnan He, Yixin Cao, Meng Wang, Tat-Seng Chua:
Reinforced Negative Sampling over Knowledge Graph for Recommendation. WWW 2020: 99-109 - [i15]Xiang Wang, Yaokun Xu, Xiangnan He, Yixin Cao, Meng Wang, Tat-Seng Chua:
Reinforced Negative Sampling over Knowledge Graph for Recommendation. CoRR abs/2003.05753 (2020) - [i14]Yixin Cao, Ruihao Shui, Liangming Pan, Min-Yen Kan, Zhiyuan Liu, Tat-Seng Chua:
Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen. CoRR abs/2005.00701 (2020) - [i13]Xun Yang, Jianfeng Dong, Yixin Cao, Xun Wang, Meng Wang, Tat-Seng Chua:
Tree-Augmented Cross-Modal Encoding for Complex-Query Video Retrieval. CoRR abs/2007.02503 (2020) - [i12]Zhiyuan Liu, Yixin Cao, Liangming Pan, Juanzi Li, Zhiyuan Liu, Tat-Seng Chua:
Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment. CoRR abs/2010.03249 (2020) - [i11]Yixin Cao, Jun Kuang, Ming Gao, Aoying Zhou, Yonggang Wen, Tat-Seng Chua:
Learning Relation Prototype from Unlabeled Texts for Long-tail Relation Extraction. CoRR abs/2011.13574 (2020)
2010 – 2019
- 2019
- [c20]Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, Tat-Seng Chua:
Explainable Reasoning over Knowledge Graphs for Recommendation. AAAI 2019: 5329-5336 - [c19]Yixin Cao, Zhiyuan Liu, Chengjiang Li, Zhiyuan Liu, Juanzi Li, Tat-Seng Chua:
Multi-Channel Graph Neural Network for Entity Alignment. ACL (1) 2019: 1452-1461 - [c18]Yixin Cao, Zikun Hu, Tat-Seng Chua, Zhiyuan Liu, Heng Ji:
Low-Resource Name Tagging Learned with Weakly Labeled Data. EMNLP/IJCNLP (1) 2019: 261-270 - [c17]Chengjiang Li, Yixin Cao, Lei Hou, Jiaxin Shi, Juanzi Li, Tat-Seng Chua:
Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model. EMNLP/IJCNLP (1) 2019: 2723-2732 - [c16]Hsuehkuan Lu, Yixin Cao, Lei Hou, Juanzi Li:
Knowledge-Enhanced Bilingual Textual Representations for Cross-Lingual Semantic Textual Similarity. ICPCSEE (1) 2019: 425-440 - [c15]Xinru Zhang, Huifang Xu, Yixin Cao, Yuanpeng Tan, Lei Hou, Juanzi Li, Jiaxin Shi:
DSEL: A Domain-Specific Entity Linking System. JIST 2019: 146-161 - [c14]Xiang Wang, Xiangnan He, Yixin Cao, Meng Liu, Tat-Seng Chua:
KGAT: Knowledge Graph Attention Network for Recommendation. KDD 2019: 950-958 - [c13]Yunshan Ma, Xun Yang, Lizi Liao, Yixin Cao, Tat-Seng Chua:
Who, Where, and What to Wear?: Extracting Fashion Knowledge from Social Media. ACM Multimedia 2019: 257-265 - [c12]Xu Chen, Hanxiong Chen, Hongteng Xu, Yongfeng Zhang, Yixin Cao, Zheng Qin, Hongyuan Zha:
Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network: Towards Visually Explainable Recommendation. SIGIR 2019: 765-774 - [c11]Yixin Cao, Xiang Wang, Xiangnan He, Zikun Hu, Tat-Seng Chua:
Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences. WWW 2019: 151-161 - [i10]Yixin Cao, Xiang Wang, Xiangnan He, Zikun Hu, Tat-Seng Chua:
Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences. CoRR abs/1902.06236 (2019) - [i9]Xiang Wang, Xiangnan He, Yixin Cao, Meng Liu, Tat-Seng Chua:
KGAT: Knowledge Graph Attention Network for Recommendation. CoRR abs/1905.07854 (2019) - [i8]Jun Kuang, Yixin Cao, Jianbing Zheng, Xiangnan He, Ming Gao, Aoying Zhou:
Improving Neural Relation Extraction with Implicit Mutual Relations. CoRR abs/1907.05333 (2019) - [i7]Yunshan Ma, Xun Yang, Lizi Liao, Yixin Cao, Tat-Seng Chua:
Who, Where, and What to Wear? Extracting Fashion Knowledge from Social Media. CoRR abs/1908.08985 (2019) - [i6]Yixin Cao, Zikun Hu, Tat-Seng Chua, Zhiyuan Liu, Heng Ji:
Low-Resource Name Tagging Learned with Weakly Labeled Data. CoRR abs/1908.09659 (2019) - [i5]Yixin Cao, Zhiyuan Liu, Chengjiang Li, Zhiyuan Liu, Juanzi Li, Tat-Seng Chua:
Multi-Channel Graph Neural Network for Entity Alignment. CoRR abs/1908.09898 (2019) - 2018
- [c10]Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu:
Neural Collective Entity Linking. COLING 2018: 675-686 - [c9]Jiangtao Zhang, Juanzi Li, Xiao-Li Li, Yixin Cao, Lei Hou, Shuai Wang:
Is a Common Phrase an Entity Mention or Not? Dual Representations for Domain-Specific Named Entity Recognition. DASFAA (1) 2018: 830-846 - [c8]Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Chengjiang Li, Xu Chen, Tiansi Dong:
Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision. EMNLP 2018: 227-237 - [c7]Jiangtao Zhang, Juanzi Li, Shuai Wang, Yan Zhang, Yixin Cao, Lei Hou, Xiao-Li Li:
Category Multi-representation: A Unified Solution for Named Entity Recognition in Clinical Texts. PAKDD (2) 2018: 275-287 - [c6]Xu Chen, Hongteng Xu, Yongfeng Zhang, Jiaxi Tang, Yixin Cao, Zheng Qin, Hongyuan Zha:
Sequential Recommendation with User Memory Networks. WSDM 2018: 108-116 - [i4]Xu Chen, Yongfeng Zhang, Hongteng Xu, Yixin Cao, Zheng Qin, Hongyuan Zha:
Visually Explainable Recommendation. CoRR abs/1801.10288 (2018) - [i3]Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, Tat-Seng Chua:
Explainable Reasoning over Knowledge Graphs for Recommendation. CoRR abs/1811.04540 (2018) - [i2]Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu:
Neural Collective Entity Linking. CoRR abs/1811.08603 (2018) - [i1]Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Chengjiang Li, Xu Chen, Tiansi Dong:
Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision. CoRR abs/1811.10776 (2018) - 2017
- [c5]Yixin Cao, Lifu Huang, Heng Ji, Xu Chen, Juanzi Li:
Bridge Text and Knowledge by Learning Multi-Prototype Entity Mention Embedding. ACL (1) 2017: 1623-1633 - [c4]Jing Zhang, Yixin Cao, Lei Hou, Juanzi Li, Hai-Tao Zheng:
XLink: An Unsupervised Bilingual Entity Linking System. CCL 2017: 172-183 - [c3]Yixin Cao, Jiaxin Shi, Juanzi Li, Zhiyuan Liu, Chengjiang Li:
On Modeling Sense Relatedness in Multi-prototype Word Embedding. IJCNLP(1) 2017: 233-242 - 2015
- [c2]Yixin Cao, Juanzi Li, Xiaofei Guo, Shuanhu Bai, Heng Ji, Jie Tang:
Name List Only? Target Entity Disambiguation in Short Texts. EMNLP 2015: 654-664 - [c1]Mengdi Zhang, Tao Huang, Yixin Cao, Lei Hou:
Target Detection and Knowledge Learning for Domain Restricted Question Answering. NLPCC 2015: 325-336
Coauthor Index
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