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Qian Liu 0012
Person information
- affiliation: University of Auckland, Auckland, New Zealand
- affiliation (former): Nanyang Technological University, Singapore
- affiliation (Ph.D., 2022): University of Technology Sydney, Sydney, Australia
- affiliation (Ph.D., 2020): Beijing Institute of Technology, Beijing, China
Other persons with the same name
- Qian Liu — disambiguation page
- Qian Liu 0001 — Dalian University of Technology, School of Computer Science and Technology, China (and 1 more)
- Qian Liu 0002 — Hong Kong University of Science and Technology, Department of Industrial Engineering and Logistics Management, Hong Kong
- Qian Liu 0003 — Huazhong University of Science and Technology, Hubei Bioinformatics and Molecular Imaging Key Laboratory, Wuhan, China
- Qian Liu 0004 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, China
- Qian Liu 0005 — University of Manchester, UK (and 1 more)
- Qian Liu 0006 — Virginia Tech, Blacksburg, VA, USA
- Qian Liu 0007 — Wuhan University, School of Information Management, Wuhan, China
- Qian Liu 0008 — Nanjing University of Science and Technology, School of Computer Science and Engineering, Nanjing, China
- Qian Liu 0009 — Chongqing University of Posts and Telecommunications, School of Communication and Information Engineering, China (and 1 more)
- Qian Liu 0010 — Nanjing University of Information Science and Technology, School of Electronic and Information Engineering, Nanjing, China (and 1 more)
- Qian Liu 0011 — George Mason University, Department of Geography and Geoinformation Science, Fairfax, VA, USA
- Qian Liu 0013 — Central University of Finance and Economics, Beijing, China (and 1 more)
- Qian Liu 0014 — Nanyang Technological University, Singapore
- Qian Liu 0015 — University of Manitoba, Winnipeg, Canada
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2020 – today
- 2024
- [j12]Qian Liu, Xiubo Geng, Yu Wang, Erik Cambria, Daxin Jiang:
Disentangled Retrieval and Reasoning for Implicit Question Answering. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7804-7815 (2024) - [j11]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) - [c22]Xiao Wei, Qi Xu, Hang Yu, Qian Liu, Erik Cambria:
Through the MUD: A Multi-Defendant Charge Prediction Benchmark with Linked Crime Elements. ACL (1) 2024: 2864-2878 - [c21]Rui Mao, Kai He, Claudia Ong, Qian Liu, Erik Cambria:
MetaPro 2.0: Computational Metaphor Processing on the Effectiveness of Anomalous Language Modeling. ACL (Findings) 2024: 9891-9908 - [c20]Jundong Xu, Hao Fei, Liangming Pan, Qian Liu, Mong-Li Lee, Wynne Hsu:
Faithful Logical Reasoning via Symbolic Chain-of-Thought. ACL (1) 2024: 13326-13365 - [c19]Jinpeng Li, Hang Yu, Xiangfeng Luo, Qian Liu:
COSIGN: Contextual Facts Guided Generation for Knowledge Graph Completion. NAACL-HLT 2024: 1669-1682 - [i7]Jundong Xu, Hao Fei, Liangming Pan, Qian Liu, Mong-Li Lee, Wynne Hsu:
Faithful Logical Reasoning via Symbolic Chain-of-Thought. CoRR abs/2405.18357 (2024) - [i6]Hao Fei, Han Zhang, Bin Wang, Lizi Liao, Qian Liu, Erik Cambria:
EmpathyEar: An Open-source Avatar Multimodal Empathetic Chatbot. CoRR abs/2406.15177 (2024) - [i5]Meng Luo, Hao Fei, Bobo Li, Shengqiong Wu, Qian Liu, Soujanya Poria, Erik Cambria, Mong-Li Lee, Wynne Hsu:
PanoSent: A Panoptic Sextuple Extraction Benchmark for Multimodal Conversational Aspect-based Sentiment Analysis. CoRR abs/2408.09481 (2024) - 2023
- [j10]Qian Liu, Rui Mao, Xiubo Geng, Erik Cambria:
Semantic matching in machine reading comprehension: An empirical study. Inf. Process. Manag. 60(2): 103145 (2023) - [j9]Rui Mao, Qian Liu, Kai He, Wei Li, Erik Cambria:
The Biases of Pre-Trained Language Models: An Empirical Study on Prompt-Based Sentiment Analysis and Emotion Detection. IEEE Trans. Affect. Comput. 14(3): 1743-1753 (2023) - [j8]Heyan Huang, Xiao Liu, Ge Shi, Qian Liu:
Event Extraction With Dynamic Prefix Tuning and Relevance Retrieval. IEEE Trans. Knowl. Data Eng. 35(10): 9946-9958 (2023) - [j7]Qian Liu, Xiubo Geng, Heyan Huang, Tao Qin, Jie Lu, Daxin Jiang:
MGRC: An End-to-End Multigranularity Reading Comprehension Model for Question Answering. IEEE Trans. Neural Networks Learn. Syst. 34(5): 2594-2605 (2023) - [c18]Hao Fei, Bobo Li, Qian Liu, Lidong Bing, Fei Li, Tat-Seng Chua:
Reasoning Implicit Sentiment with Chain-of-Thought Prompting. ACL (2) 2023: 1171-1182 - [c17]Hao Fei, Qian Liu, Meishan Zhang, Min Zhang, Tat-Seng Chua:
Scene Graph as Pivoting: Inference-time Image-free Unsupervised Multimodal Machine Translation with Visual Scene Hallucination. ACL (1) 2023: 5980-5994 - [c16]Xiao Wei, Jianbao Huang, Hang Yu, Qian Liu:
PTCSpell: Pre-trained Corrector Based on Character Shape and Pinyin for Chinese Spelling Correction. ACL (Findings) 2023: 6330-6343 - [i4]Hao Fei, Bobo Li, Qian Liu, Lidong Bing, Fei Li, Tat-Seng Chua:
Reasoning Implicit Sentiment with Chain-of-Thought Prompting. CoRR abs/2305.11255 (2023) - [i3]Hao Fei, Qian Liu, Meishan Zhang, Min Zhang, Tat-Seng Chua:
Scene Graph as Pivoting: Inference-time Image-free Unsupervised Multimodal Machine Translation with Visual Scene Hallucination. CoRR abs/2305.12256 (2023) - 2022
- [c15]Junjie Huang, Wanjun Zhong, Qian Liu, Ming Gong, Daxin Jiang, Nan Duan:
Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA. EMNLP (Findings) 2022: 4117-4129 - [c14]Erik Cambria, Rui Mao, Sooji Han, Qian Liu:
Sentic Parser: A Graph-Based Approach to Concept Extraction for Sentiment Analysis. ICDM (Workshops) 2022: 1-8 - [c13]Wanjun Zhong, Junjie Huang, Qian Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
Reasoning over Hybrid Chain for Table-and-Text Open Domain Question Answering. IJCAI 2022: 4531-4537 - [c12]Cuc Duong, Qian Liu, Rui Mao, Erik Cambria:
Saving Earth One Tweet at a Time through the Lens of Artificial Intelligence. IJCNN 2022: 1-9 - [c11]Aryan Rastogi, Qian Liu, Erik Cambria:
Stress Detection from Social Media Articles: New Dataset Benchmark and Analytical Study. IJCNN 2022: 1-8 - [c10]Erik Cambria, Qian Liu, Sergio Decherchi, Frank Xing, Kenneth Kwok:
SenticNet 7: A Commonsense-based Neurosymbolic AI Framework for Explainable Sentiment Analysis. LREC 2022: 3829-3839 - [i2]Wanjun Zhong, Junjie Huang, Qian Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
Reasoning over Hybrid Chain for Table-and-Text Open Domain QA. CoRR abs/2201.05880 (2022) - [i1]Junjie Huang, Wanjun Zhong, Qian Liu, Ming Gong, Daxin Jiang, Nan Duan:
Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA. CoRR abs/2210.05197 (2022) - 2021
- [b1]Qian Liu:
Word Representation with Transferable Semantics. University of Technology Sydney, Australia, 2021 - [j6]Wenpeng Lu, Yuteng Zhang, Shoujin Wang, Heyan Huang, Qian Liu, Sheng Luo:
Concept Representation by Learning Explicit and Implicit Concept Couplings. IEEE Intell. Syst. 36(1): 6-15 (2021) - [j5]Heyan Huang, Qian Liu:
Domain structure-based transfer learning for cross-domain word representation. Inf. Fusion 76: 145-156 (2021) - [j4]Qian Liu, Jie Lu, Guangquan Zhang, Tao Shen, Zhihan Zhang, Heyan Huang:
Domain-specific meta-embedding with latent semantic structures. Inf. Sci. 555: 410-423 (2021) - [j3]Qian Liu, Heyan Huang, Junyu Xuan, Guangquan Zhang, Yang Gao, Jie Lu:
A Fuzzy Word Similarity Measure for Selecting Top-$k$ Similar Words in Query Expansion. IEEE Trans. Fuzzy Syst. 29(8): 2132-2144 (2021) - [c9]Harsh Patel, Xulang Zhang, Qian Liu:
Enhancing Negation Scope Detection using Multitask Learning. ICDM (Workshops) 2021: 179-185 - [c8]Qian Liu, Xiubo Geng, Jie Lu, Daxin Jiang:
Pivot-based Candidate Retrieval for Cross-lingual Entity Linking. WWW 2021: 1076-1085 - 2020
- [j2]Yang Gao, Yue Xu, Heyan Huang, Qian Liu, Linjing Wei, Luyang Liu:
Jointly Learning Topics in Sentence Embedding for Document Summarization. IEEE Trans. Knowl. Data Eng. 32(4): 688-699 (2020) - [c7]Jie Cai, Zhengzhou Zhu, Ping Nie, Qian Liu:
A Pairwise Probe for Understanding BERT Fine-Tuning on Machine Reading Comprehension. SIGIR 2020: 1665-1668
2010 – 2019
- 2018
- [j1]Yi Zhang, Jie Lu, Feng Liu, Qian Liu, Alan L. Porter, Hongshu Chen, Guangquan Zhang:
Does deep learning help topic extraction? A kernel k-means clustering method with word embedding. J. Informetrics 12(4): 1099-1117 (2018) - [c6]Qian Liu, Heyan Huang, Guangquan Zhang, Yang Gao, Junyu Xuan, Jie Lu:
Semantic Structure-Based Word Embedding by Incorporating Concept Convergence and Word Divergence. AAAI 2018: 5261-5268 - [c5]Qian Liu, Heyan Huang, Yang Gao, Xiaochi Wei, Yuxin Tian, Luyang Liu:
Task-oriented Word Embedding for Text Classification. COLING 2018: 2023-2032 - [c4]Yang Wang, Chong Feng, Qian Liu:
Construction of a Multi-dimensional Vectorized Affective Lexicon. NLPCC (2) 2018: 319-329 - 2017
- [c3]Qian Liu, Heyan Huang, Yang Gao, Xiaochi Wei, Ruiying Geng:
Leveraging Pattern Associations for Word Embedding Models. DASFAA (1) 2017: 423-438 - [c2]Qian Liu, Heyan Huang, Jie Lu, Yang Gao, Guangquan Zhang:
Enhanced word embedding similarity measures using fuzzy rules for query expansion. FUZZ-IEEE 2017: 1-6 - [c1]Yang Gao, Linjing Wei, Heyan Huang, Qian Liu:
Topical Sentence Embedding for Query Focused Document Summarization. SML@IJCAI 2017: 21-26
Coauthor Index
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last updated on 2024-10-25 21:17 CEST by the dblp team
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