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Ming Liu 0004

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affiliation: Harbin Institute of Technology, School of Computer Science and Technology, China

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Ming Liu — disambiguation page
Ming Liu 0001 — Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Robotics and Multi-perception Lab, Hong Kong (and 3 more)
Ming Liu 0002 — University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu, China (and 1 more)
Ming Liu 0003 — University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu, China
Ming Liu 0005 — North Carolina State University, Neuromuscular Rehabilitation Engineering Laboratory, Raleigh, NC, USA (and 2 more)
Ming Liu 0006 — University of Florida, Gainesville, FL, USA
Ming Liu 0007 — University of Technology, Connected Intelligence Centre, Sydney, Australia (and 2 more)
Ming Liu 0008 — Tongji University, School of Economics and Management, Shanghai, China
Ming Liu 0009 — University of Illinois at Urbana-Champaign, Beckman Institute for Advanced Science and Technology, IL, USA (and 2 more)
Ming Liu 0010 — Beijing Jiaotong University, Beijing Key Lab of Transportation Data Analysis and Mining, China (and 1 more)

Ming Liu 0011 — Royal Institute of Technology, Stockholm, Sweden (and 1 more)
Ming Liu 0012 — Shaanxi Normal University, School of Computer Science, Xi'an, China (and 2 more)
Ming Liu 0013 — Princeton University, Department of Electrical Engineering, NJ, USA (and 1 more)
Ming Liu 0014 — Harbin Institute of Technology, School of Astronautics, China (and 1 more)
Ming Liu 0015 — Chinese Academy of Sciences, Institute of Semiconductors, State Key Laboratory on Integrated Optoelectronics, Beijing, China (and 2 more)
Ming Liu 0017 — University of Electronic Science and Technology of China, School of Information and Communication Engineering, Chengdu, China (and 1 more)
Ming Liu 0018 — Harbin Institute of Technolog, School of Computer Science and Technology, China
Ming Liu 0019 — Hohai University, College of Computer and Information, Laboratory of Array and Information Processing, Nanjing, China
Ming Liu 0020 — Beihang University, School of Biological Science and Medical Engineering, MOE Key Laboratory for Biomechanics and Mechanobiology, Beijing, China
Ming Liu 0021 — Shanghai Jiao Tong University, Department of Electronic Engineering, Shanghai, China (and 1 more)
Ming Liu 0022 — Chinese Academy Sciences, Institute of Microelectronics, Beijing, China
Ming Liu 0023 — Hong Kong Polytechnic University, Department of Electrical Engineering, Hong Kong
Ming Liu 0024 — Changchun University of Technology, Department of Applied Mathematics, Changchun, China
Ming Liu 0025 — Shandong University of Science and Technology, Department of Electrical Engineering and Information Technology, Jinan, China
Ming Liu 0026 — Xi'an Jiaotong University, State Key Laboratory for Strength and Vibration of Mechanical Structures, Xi'an, China
Ming Liu 0027 — University of Wisconsin at Madison, WI, USA (and 1 more)
Ming Liu 0028 — Monash University, NCHA, Melbourne, Australia (and 2 more)
Ming Liu 0029 — Beijing Institute of Technology, Yangtze Delta Region Academy, School of Opto-Electronics, School of Optics and Photonics, China
Ming Liu 0030 — Soochow University, Suzhou, China

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2020 – today

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2025
[j18]
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Tao He, Ming Liu, Yixin Cao, Zekun Wang, Zihao Zheng, Bing Qin:
Exploring & exploiting high-order graph structure for sparse knowledge graph completion. Frontiers Comput. Sci. 19(2): 192306 (2025)
2024
[j17]
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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)
[c48]
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Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Tao He, Haotian Wang, Weihua Peng, Ming Liu, Bing Qin, Ting Liu:
Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future. ACL (1) 2024: 1173-1203
[c47]
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Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Haotian Wang, Ming Liu, Bing Qin:
TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models. ACL (1) 2024: 1204-1228
[c46]
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Zheng Chu, Jingchang Chen, Qianglong Chen, Haotian Wang, Kun Zhu, Xiyuan Du, Weijiang Yu, Ming Liu, Bing Qin:
BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering. ACL (1) 2024: 1229-1248
[c45]
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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
[c44]
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Zihao Zheng, Zihan Zhang, Zexin Wang, Ruiji Fu, Ming Liu, Zhongyuan Wang, Bing Qin:
Decompose, Prioritize, and Eliminate: Dynamically Integrating Diverse Representations for Multimodal Named Entity Recognition. LREC/COLING 2024: 4498-4508
[c43]
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Zekun Wang, Jingchang Chen, Wangchunshu Zhou, Haichao Zhu, Jiafeng Liang, Liping Shan, Ming Liu, Dongliang Xu, Qing Yang, Bing Qin:
SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models. LREC/COLING 2024: 14937-14953
[c42]
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Yaojia Lv, Haojie Pan, Zekun Wang, Jiafeng Liang, Yuanxing Liu, Ruiji Fu, Ming Liu, Zhongyuan Wang, Bing Qin:
CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models. EMNLP (Findings) 2024: 6074-6091
[c41]
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Guo Tang, Zheng Chu, Wenxiang Zheng, Ming Liu, Bing Qin:
Towards Benchmarking Situational Awareness of Large Language Models: Comprehensive Benchmark, Evaluation and Analysis. EMNLP (Findings) 2024: 7904-7928
[c40]
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Shixin Jiang, Zerui Chen, Jiafeng Liang, Yanyan Zhao, Ming Liu, Bing Qin:
Infrared-LLaVA: Enhancing Understanding of Infrared Images in Multi-Modal Large Language Models. EMNLP (Findings) 2024: 8573-8591
[c39]
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Zihao Zheng, Tao He, Ming Liu, Zhongyuan Wang, Ruiji Fu, Bing Qin:
Relational Graph-Bridged Image-Text Interaction: A Novel Method for Multi-Modal Relation Extraction. ICASSP 2024: 12647-12651
[c38]
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Jiafeng Liang, Shixin Jiang, Zekun Wang, Haojie Pan, Zerui Chen, Zheng Chu, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin:
GUIDE: A Guideline-Guided Dataset for Instructional Video Comprehension. IJCAI 2024: 1065-1073
[i26]
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  - journals/corr/abs-2401-08438
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Yaojia Lv, Haojie Pan, Ruiji Fu, Ming Liu, Zhongyuan Wang, Bing Qin:
CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models. CoRR abs/2401.08438 (2024)
[i25]
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  - journals/corr/abs-2405-20092
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Jingchang Chen, Hongxuan Tang, Zheng Chu, Qianglong Chen, Zekun Wang, Ming Liu, Bing Qin:
Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation. CoRR abs/2405.20092 (2024)
[i24]
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  - journals/corr/abs-2406-05374
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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)
[i23]
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  - journals/corr/abs-2406-18227
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Jiafeng Liang, Shixin Jiang, Zekun Wang, Haojie Pan, Zerui Chen, Zheng Chu, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin:
GUIDE: A Guideline-Guided Dataset for Instructional Video Comprehension. CoRR abs/2406.18227 (2024)
[i22]
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  - journals/corr/abs-2406-19820
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Zheng Chu, Jingchang Chen, Qianglong Chen, Haotian Wang, Kun Zhu, Xiyuan Du, Weijiang Yu, Ming Liu, Bing Qin:
BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering. CoRR abs/2406.19820 (2024)
[i21]
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  - journals/corr/abs-2407-02936
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Zike Yuan, Ming Liu, Hui Wang, Bing Qin:
GraCoRe: Benchmarking Graph Comprehension and Complex Reasoning in Large Language Models. CoRR abs/2407.02936 (2024)
[i20]
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  - journals/corr/abs-2409-13199
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Yuxin Wang, Minghua Ma, Zekun Wang, Jingchang Chen, Huiming Fan, Liping Shan, Qing Yang, Dongliang Xu, Ming Liu, Bing Qin:
CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information. CoRR abs/2409.13199 (2024)
[i19]
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  - journals/corr/abs-2409-19510
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Yexing Du, Ziyang Ma, Yifan Yang, Keqi Deng, Xie Chen, Bo Yang, Yang Xiang, Ming Liu, Bing Qin:
CoT-ST: Enhancing LLM-based Speech Translation with Multimodal Chain-of-Thought. CoRR abs/2409.19510 (2024)
[i18]
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  - journals/corr/abs-2410-03178
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Ming Liu, Zhaojian Wang, Feng Liu, Ming Cao, Bo Yang:
Optimal Control in Both Steady State and Transient Process with Unknown Disturbances. CoRR abs/2410.03178 (2024)
2023
[j16]
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  - journals/cogsr/LiLWZQ23
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Jiaqi Li, Ming Liu, Yuxin Wang, Daxing Zhang, Bing Qin:
A speaker-aware multiparty dialogue discourse parser with heterogeneous graph neural network. Cogn. Syst. Res. 79: 15-23 (2023)
[j15]
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  - journals/mlc/WangZLQ23
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Zekun Wang, Haichao Zhu, Ming Liu, Bing Qin:
TAGNet: a tiny answer-guided network for conversational question generation. Int. J. Mach. Learn. Cybern. 14(5): 1921-1932 (2023)
[j14]
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Minjie Ren, Xiangdong Huang, Jing Liu, Ming Liu, Xuanya Li, An-An Liu:
MALN: Multimodal Adversarial Learning Network for Conversational Emotion Recognition. IEEE Trans. Circuits Syst. Video Technol. 33(11): 6965-6980 (2023)
[c37]
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  - conf/emnlp/ChuWLL023
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Zheng Chu, Zekun Wang, Jiafeng Liang, Ming Liu, Bing Qin:
MTGER: Multi-view Temporal Graph Enhanced Temporal Reasoning over Time-Involved Document. EMNLP (Findings) 2023: 15218-15233
[c36]
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  - conf/ijcai/LiangWWLFW023
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Jiafeng Liang, Yuxin Wang, Zekun Wang, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin:
GTR: A Grafting-Then-Reassembling Framework for Dynamic Scene Graph Generation. IJCAI 2023: 1177-1185
[i17]
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  - journals/corr/abs-2305-15033
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Zekun Wang, Jingchang Chen, Wangchunshu Zhou, Ming Liu, Bing Qin:
SmartTrim: Adaptive Tokens and Parameters Pruning for Efficient Vision-Language Models. CoRR abs/2305.15033 (2023)
[i16]
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  - journals/corr/abs-2306-17034
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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)
[i15]
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  - journals/corr/abs-2309-15402
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Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Tao He, Haotian Wang, Weihua Peng, Ming Liu, Bing Qin, Ting Liu:
A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future. CoRR abs/2309.15402 (2023)
[i14]
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  - journals/corr/abs-2311-04816
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Zheng Chu, Zekun Wang, Jiafeng Liang, Ming Liu, Bing Qin:
MTGER: Multi-view Temporal Graph Enhanced Temporal Reasoning over Time-Involved Document. CoRR abs/2311.04816 (2023)
[i13]
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  - journals/corr/abs-2311-17667
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Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Haotian Wang, Ming Liu, Bing Qin:
TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models. CoRR abs/2311.17667 (2023)
[i12]
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  - journals/corr/abs-2312-04889
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Haojie Pan, Zepeng Zhai, Hao Yuan, Yaojia Lv, Ruiji Fu, Ming Liu, Zhongyuan Wang, Bing Qin:
KwaiAgents: Generalized Information-seeking Agent System with Large Language Models. CoRR abs/2312.04889 (2023)
2022
[j13]
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Jiaqi Li, Ming Liu, Bing Qin, Ting Liu:
A survey of discourse parsing. Frontiers Comput. Sci. 16(5): 165329 (2022)
[c35]
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  - conf/emnlp/WangWZL0W22
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Zekun Wang, Wenhui Wang, Haichao Zhu, Ming Liu, Bing Qin, Furu Wei:
Distilled Dual-Encoder Model for Vision-Language Understanding. EMNLP 2022: 8901-8913
[c34]
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  - conf/semeval/Chu0C0L22
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Zheng Chu, Ziqing Yang, Yiming Cui, Zhigang Chen, Ming Liu:
HIT at SemEval-2022 Task 2: Pre-trained Language Model for Idioms Detection. SemEval@NAACL 2022: 221-227
[e2]
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  - conf/ccks/2021e
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Bing Qin, Haofen Wang, Ming Liu, Jiangtao Zhang:
CCKS 2021 - Evaluation Track - 6th China Conference on Knowledge Graph and Semantic Computing, CCKS 2021, Guangzhou, China, December 25-26, 2021, Revised Selected Papers. Communications in Computer and Information Science 1553, Springer 2022, ISBN 978-981-19-0712-8 [contents]
[i11]
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  - journals/corr/abs-2204-06145
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Zheng Chu, Ziqing Yang, Yiming Cui, Zhigang Chen, Ming Liu:
HIT at SemEval-2022 Task 2: Pre-trained Language Model for Idioms Detection. CoRR abs/2204.06145 (2022)
[i10]
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  - journals/corr/abs-2207-01528
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Tao He, Tianwen Jiang, Zihao Zheng, Haichao Zhu, Jingrun Zhang, Ming Liu, Sendong Zhao, Bing Qin:
VEM²L: A Plug-and-play Framework for Fusing Text and Structure Knowledge on Sparse Knowledge Graph Completion. CoRR abs/2207.01528 (2022)
[i9]
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  - journals/corr/abs-2211-00732
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Haojie Pan, Yuzhou Zhang, Zepeng Zhai, Ruiji Fu, Ming Liu, Yangqiu Song, Zhongyuan Wang, Bing Qin:
Kuaipedia: a Large-scale Multi-modal Short-video Encyclopedia. CoRR abs/2211.00732 (2022)
[i8]
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  - journals/corr/abs-2211-03612
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Ming Liu, Yaojia Lv, Jingrun Zhang, Ruiji Fu, Bing Qin:
BigCilin: An Automatic Chinese Open-domain Knowledge Graph with Fine-grained Hypernym-Hyponym Relations. CoRR abs/2211.03612 (2022)
2021
[c33]
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  - conf/cikm/SunHYFW0021
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Yibo Sun, Jizhou Huang, Chunyuan Yuan, Miao Fan, Haifeng Wang, Ming Liu, Bing Qin:
GEDIT: Geographic-Enhanced and Dependency-Guided Tagging for Joint POI and Accessibility Extraction at Baidu Maps. CIKM 2021: 4135-4144
[c32]
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Haichao Zhu, Zekun Wang, Heng Zhang, Ming Liu, Sendong Zhao, Bing Qin:
Less Is More: Domain Adaptation with Lottery Ticket for Reading Comprehension. EMNLP (Findings) 2021: 1102-1113
[c31]
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Jiaqi Li, Ming Liu, Zihao Zheng, Heng Zhang, Bing Qin, Min-Yen Kan, Ting Liu:
DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension. IJCNN 2021: 1-8
[i7]
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  - journals/corr/abs-2104-12377
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Jiaqi Li, Ming Liu, Zihao Zheng, Heng Zhang, Bing Qin, Min-Yen Kan, Ting Liu:
DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension. CoRR abs/2104.12377 (2021)
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  - journals/corr/abs-2108-09104
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Yibo Sun, Jizhou Huang, Chunyuan Yuan, Miao Fan, Haifeng Wang, Ming Liu, Bing Qin:
GEDIT: Geographic-Enhanced and Dependency-Guided Tagging for Joint POI and Accessibility Extraction at Baidu Maps. CoRR abs/2108.09104 (2021)
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  - journals/corr/abs-2112-08723
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Zekun Wang, Wenhui Wang, Haichao Zhu, Ming Liu, Bing Qin, Furu Wei:
Distilled Dual-Encoder Model for Vision-Language Understanding. CoRR abs/2112.08723 (2021)
2020
[c30]
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Zhongjie Wang, Hanchuan Xu, Ming Liu, Xiaofei Xu:
Quality-Driven and Abstraction-Oriented Software Construction Course Design: To Fill the Gap between Programming and Software Engineering Courses. ACM TUR-C 2020: 9-14
[c29]
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  - conf/bibm/JiangZL0L020
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Tianwen Jiang, Ning Zhang, Ming Liu, Meng Jiang, Ting Liu, Bing Qin:
Use of "Internal Knowledge": Biomedical Literature Search Liberated From External Resources. BIBM 2020: 275-280
[c28]
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Jiaqi Li, Ming Liu, Min-Yen Kan, Zihao Zheng, Zekun Wang, Wenqiang Lei, Ting Liu, Bing Qin:
Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure. COLING 2020: 2642-2652
[c27]
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Ming Liu, Zihao Zheng, Bing Qin, Yitong Liu:
A Passage-Level Text Similarity Calculation. NLPCC (1) 2020: 207-218
[c26]
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  - conf/nlpcc/HuLWXQL20
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Zhenyu Hu, Ming Liu, Yin Wu, Jiexin Xu, Bing Qin, Jinlong Li:
Document-Level Event Subject Pair Recognition. NLPCC (1) 2020: 283-293
[i4]
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  - journals/corr/abs-2004-05080
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Jiaqi Li, Ming Liu, Min-Yen Kan, Zihao Zheng, Zekun Wang, Wenqiang Lei, Ting Liu, Bing Qin:
Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure. CoRR abs/2004.05080 (2020)

2010 – 2019

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2019
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Ming Liu, Yanyan Zhao, Bing Qin, Ting Liu:
Collective entity linking: a random walk-based perspective. Knowl. Inf. Syst. 60(3): 1611-1643 (2019)
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Ming Liu, Gu Gong, Bing Qin, Ting Liu:
A Multi-View-Based Collective Entity Linking Method. ACM Trans. Inf. Syst. 37(2): 23:1-23:29 (2019)
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Xiaoyan Zhu, Bing Qin, Xiaodan Zhu, Ming Liu, Longhua Qian:
Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding - 4th China Conference, CCKS 2019, Hangzhou, China, August 24-27, 2019, Revised Selected Papers. Communications in Computer and Information Science 1134, Springer 2019, ISBN 978-981-15-1955-0 [contents]
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  - journals/corr/abs-1903-03282
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Tianwen Jiang, Ming Liu, Bing Qin, Ting Liu:
Attribute Acquisition in Ontology based on Representation Learning of Hierarchical Classes and Attributes. CoRR abs/1903.03282 (2019)
[i2]
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  - journals/corr/abs-1903-03289
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Tianwen Jiang, Sendong Zhao, Jing Liu, Jin-Ge Yao, Ming Liu, Bing Qin, Ting Liu, Chin-Yew Lin:
Towards Time-Aware Distant Supervision for Relation Extraction. CoRR abs/1903.03289 (2019)
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  - journals/corr/abs-1911-03514
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Jiaqi Li, Ming Liu, Bing Qin, Zihao Zheng, Ting Liu:
An Annotation Scheme of A Large-scale Multi-party Dialogues Dataset for Discourse Parsing and Machine Comprehension. CoRR abs/1911.03514 (2019)
2018
[c25]
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Sendong Zhao, Meng Jiang, Ming Liu, Bing Qin, Ting Liu:
CausalTriad: Toward Pseudo Causal Relation Discovery and Hypotheses Generation from Medical Text Data. BCB 2018: 184-193
[c24]
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  - conf/ijcai/FengLL0SL18
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Xiaocheng Feng, Ming Liu, Jiahao Liu, Bing Qin, Yibo Sun, Ting Liu:
Topic-to-Essay Generation with Neural Networks. IJCAI 2018: 4078-4084
2017
[j10]
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Ming Liu, Lei Chen, Bingquan Liu, Guidong Zheng, Xiaoming Zhang:
DBpedia-Based Entity Linking via Greedy Search and Adjusted Monte Carlo Random Walk. ACM Trans. Inf. Syst. 36(2): 16:1-16:34 (2017)
[c23]
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Tianwen Jiang, Ming Liu, Bing Qin, Ting Liu:
Constructing Semantic Hierarchies via Fusion Learning Architecture. CCIR 2017: 136-148
[c22]
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Guidong Zheng, Ming Liu, Bingquan Liu:
Collective Entity Linking Based on DBpedia. CCKS 2017: 66-79
[c21]
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Bingquan Liu, Xinkai Du, Ming Liu, Chengjie Sun, Guidong Zheng, Chao Zou:
Resolving Chinese Zero Pronoun with Word Embedding. NLPCC 2017: 828-838
2016
[j9]
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  - journals/entropy/WangLLSW16
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Xin Wang, Yuanchao Liu, Ming Liu, Chengjie Sun, Xiaolong Wang:
Understanding Gating Operations in Recurrent Neural Networks through Opinion Expression Extraction. Entropy 18(8): 294 (2016)
[c20]
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Yuanchao Liu, Xin Wang, Ming Liu, Xiaolong Wang:
Write-righter: An Academic Writing Assistant System. AAAI 2016: 4373-4374
[c19]
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Ming Liu, Chong Wu, Xiang-Nan Zhao, Chin-Yew Lin, Xiaolong Wang:
App relationship calculation: An iterative process. ICDE 2016: 1540-1541
[c18]
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  - conf/iconip/WangLSLW16
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Xin Wang, Yuanchao Liu, Chengjie Sun, Ming Liu, Xiaolong Wang:
Extended Dependency-Based Word Embeddings for Aspect Extraction. ICONIP (4) 2016: 104-111
2015
[j8]
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Feng Liu, Bingquan Liu, Chengjie Sun, Ming Liu, Xiaolong Wang:
Deep Belief Network-Based Approaches for Link Prediction in Signed Social Networks. Entropy 17(4): 2140-2169 (2015)
[j7]
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  - journals/nn/LiuWC15
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Ming Liu, Chong Wu, Lei Chen:
A vector reconstruction based clustering algorithm particularly for large-scale text collection. Neural Networks 63: 141-155 (2015)
[j6]
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Bingquan Liu, Jian Feng, Ming Liu, Haifeng Hu, Xiaolong Wang:
Predicting the quality of user-generated answers using co-training in community-based question answering portals. Pattern Recognit. Lett. 58: 29-34 (2015)
[j5]
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Ming Liu, Chong Wu, Xiang-Nan Zhao, Chin-Yew Lin, Xiaolong Wang:
APP Relationship Calculation: An Iterative Process. IEEE Trans. Knowl. Data Eng. 27(8): 2049-2063 (2015)
[c17]
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Feng Liu, Bingquan Liu, Chengjie Sun, Ming Liu, Xiaolong Wang:
Improving Link Prediction in Social Networks by User Comments and Sentiment Lexicon. CCL 2015: 356-365
[c16]
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Lili Shan, Chengjie Sun, Lei Lin, Ming Liu, Xiaolong Wang, Bingquan Liu:
Evaluating tag quality for blogger modelling via topic models. FSKD 2015: 1770-1776
[c15]
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Feng Liu, Bingquan Liu, Chengjie Sun, Ming Liu, Xiaolong Wang:
Multimodal Deep Belief Network Based Link Prediction and User Comment Generation. ICONIP (4) 2015: 20-28
[c14]
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Ming Liu, Lei Chen, Bingquan Liu, Xiaolong Wang:
VRCA: A Clustering Algorithm for Massive Amount of Texts. IJCAI 2015: 2355-2361
[c13]
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Feng Liu, Bingquan Liu, Chengjie Sun, Ming Liu, Xiaolong Wang:
Multimodal Learning Based Approaches for Link Prediction in Social Networks. NLPCC 2015: 123-133
2014
[j4]
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Ming Liu, Chong Wu, Yuanchao Liu:
Weight evaluation for features via constrained data-pairscan't-linkq. Inf. Sci. 282: 70-91 (2014)
[c12]
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Bingquan Liu, Jian Feng, Ming Liu, Feng Liu, Xiaolong Wang, Peng Li:
Computing Semantic Relatedness Using a Word-Text Mutual Guidance Model. NLPCC 2014: 67-78
2013
[j3]
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Yuanchao Liu, Feng Wu, Ming Liu, Bingquan Liu:
Abstract Sentence Classification for Scientific Papers Based on Transductive SVM. Comput. Inf. Sci. 6(4): 125-131 (2013)
[j2]
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Ming Liu, Yuanchao Liu, Bingquan Liu, Lei Lin:
Probability-based text clustering algorithm by alternately repeating two operations. J. Inf. Sci. 39(3): 372-383 (2013)
[c11]
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Yuanchao Liu, Ming Liu, Xiaolong Wang, Limin Wang, Jingjing Li:
PAL: A Chatterbot System for Answering Domain-specific Questions. ACL (Conference System Demonstrations) 2013: 67-72
[c10]
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Haifeng Hu, Bingquan Liu, Baoxun Wang, Ming Liu, Xiaolong Wang:
Multimodal DBN for Predicting High-Quality Answers in cQA portals. ACL (2) 2013: 843-847
[c9]
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Haifeng Hu, Bingquan Liu, Baoxun Wang, Ming Liu, Xiaolong Wang:
Exploring social features for answer quality prediction in CQA portals. ICMLC 2013: 1904-1909
[c8]
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Feng Liu, Bingquan Liu, Chengjie Sun, Ming Liu, Xiaolong Wang:
Deep Learning Approaches for Link Prediction in Social Network Services. ICONIP (2) 2013: 425-432
2012
[c7]
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Yaming Sun, Chengjie Sun, Lei Lin, Ming Liu, Xiaolong Wang:
Sequence memoizer based model for Biomedical Named Entity Recognition. FSKD 2012: 1128-1132
[c6]
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  - conf/icmlc/YouLLW12
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Bo You, Ming Liu, Bingquan Liu, Xiaolong Wang:
Detecting hot topics in technology news streams. ICMLC 2012: 1968-1974
[c5]
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Ming Liu, Lei Lin, Lili Shan, Chengjie Sun:
A Novel Self-Adaptive Clustering Algorithm for Dynamic Data. ICONIP (3) 2012: 42-49
[c4]
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Feng Liu, Bingquan Liu, Xiaolong Wang, Ming Liu, Baoxun Wang:
Features for link prediction in social networks: A comprehensive study. SMC 2012: 1706-1711
2011
[j1]
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Yuanchao Liu, Chong Wu, Ming Liu:
Research of fast SOM clustering for text information. Expert Syst. Appl. 38(8): 9325-9333 (2011)

2000 – 2009

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2009
[c3]
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Shanzong Zhu, Yuanchao Liu, Ming Liu, Peiliang Tian:
Research on Feature Extraction from Chinese Text for Opinion Mining. IALP 2009: 7-10
2008
[c2]
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Ming Liu, Yuanchao Liu, Xiaolong Wang:
IGSOM: Incremental Clustering Based on Self-Organizing-Mapping. IIH-MSP 2008: 885-890
[c1]
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Xin-Guang Sha, Yuanchao Liu, Ming Liu, Xiaolong Wang:
A clustering retrieval system of Chinese information. NLPKE 2008: 1-6

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