Ming Liu

134 papers A* 16A 1B 6Misc 3Journal 64Unranked 42
YearRankTypeTitle / Venue / Authors
2026 J jnl
APSam: An Aggregating-Then-Pruning Sampler for Question-Conditional Denoising.
IEEE Trans. Circuits Syst. Video Technol.
Jiafeng Liang, Shixin Jiang, Wei Tang, Ning Wang, Zekun Wang, Xun Mao, Kai Lv, Ming Liu, Bing Qin
2026 J jnl
Analyzing Reasoning Consistency in Large Multimodal Models under Cross-Modal Conflicts.
CoRR
Zhihao Zhu, Jiafeng Liang, Shixin Jiang, Jinlan Fu, Ming Liu, Guanglu Sun, See-Kiong Ng, Bing Qin
2026 A* conf
Beyond the Flat Sequence: Hierarchical and Preference-Aware Generative Recommendations.
WWW
Zerui Chen, Heng Chang, Tianying Liu, Chuantian Zhou, Yi Cao, Jiandong Ding, Ming Liu, Bing Qin
2026 J jnl
Beyond the Flat Sequence: Hierarchical and Preference-Aware Generative Recommendations.
CoRR
Zerui Chen, Heng Chang, Tianying Liu, Chuantian Zhou, Yi Cao, Jiandong Ding, Ming Liu, Bing Qin
2026 A* conf
CCFQA: A Benchmark for Cross-Lingual and Cross-Modal Speech and Text Factuality Evaluation.
AAAI
Yexing Du, Kaiyuan Liu, Youcheng Pan, Zheng Chu, Bo Yang, Xiaocheng Feng, Ming Liu, Yang Xiang
2026 A* conf
From Sampling to Cognition: Modeling Internal Cognitive Confidence in Language Models for Robust Uncertainty Calibration.
AAAI
Hao Li, Tao He, Jiafeng Liang, Zheng Chu, Ming Liu
2026 J jnl
MCGA: A Multi-task Classical Chinese Literary Genre Audio Corpus.
CoRR
Yexing Du, Kaiyuan Liu, Bihe Zhang, Youcheng Pan, Bo Yang, Liangyu Huo, Xiyuan Zhang, Jian Xie, Daojing He, Yang Xiang, Ming Liu, Bing Qin
2026 J jnl
Scalable Multilingual Multimodal Machine Translation with Speech-Text Fusion.
CoRR
Yexing Du, Youcheng Pan, Zekun Wang, Zheng Chu, Yichong Huang, Kaiyuan Liu, Bo Yang, Yang Xiang, Ming Liu, Bing Qin
2026 J jnl
Subgraph-Centric Multi-Agent Reinforcement Learning for Multi-Hop Knowledge Graph Reasoning.
IEEE Trans. Knowl. Data Eng.
Tao He, Zerui Chen, Lizi Liao, Yixin Cao, Yuanxing Liu, Wei Tang, Xun Mao, Kai Lv, Ming Liu, Bing Qin
2025 J jnl
AI Meets Brain: Memory Systems from Cognitive Neuroscience to Autonomous Agents.
CoRR
Jiafeng Liang, Hao Li, Chang Li, Jiaqi Zhou, Shixin Jiang, Zekun Wang, Changkai Ji, Zhihao Zhu, Runxuan Liu, Tao Ren, Jinlan Fu, See-Kiong Ng, Xia Liang, Ming Liu, Bing Qin
2025 — conf
AnRe: Analogical Replay for Temporal Knowledge Graph Forecasting.
ACL (1)
Guo Tang, Zheng Chu, Wenxiang Zheng, Junjia Xiang, Yizhuo Li, Weihao Zhang, Ming Liu, Bing Qin
2025 — conf
Breaking the Reasoning Barrier A Survey on LLM Complex Reasoning through the Lens of Self-Evolution.
ACL (Findings)
Tao He, Hao Li, Jingchang Chen, Runxuan Liu, Yixin Cao, Lizi Liao, Zihao Zheng, Zheng Chu, Jiafeng Liang, Ming Liu, Bing Qin
2025 J jnl
CCFQA: A Benchmark for Cross-Lingual and Cross-Modal Speech and Text Factuality Evaluation.
CoRR
Yexing Du, Kaiyuan Liu, Youcheng Pan, Zheng Chu, Bo Yang, Xiaocheng Feng, Yang Xiang, Ming Liu
2025 B conf
CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information.
COLING
Yuxin Wang, Minghua Ma, Zekun Wang, Jingchang Chen, Liping Shan, Qing Yang, Dongliang Xu, Ming Liu, Bing Qin
2025 — conf
EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models.
ACL (1)
Zekun Wang, Minghua Ma, Zexin Wang, Rongchuan Mu, Liping Shan, Ming Liu, Bing Qin
2025 J jnl
EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models.
CoRR
Zekun Wang, Minghua Ma, Zexin Wang, Rongchuan Mu, Liping Shan, Ming Liu, Bing Qin
2025 J jnl
Exploring & exploiting high-order graph structure for sparse knowledge graph completion.
Frontiers Comput. Sci.
Tao He, Ming Liu, Yixin Cao, Zekun Wang, Zihao Zheng, Bing Qin
2025 — conf
From Specific-MLLMs to Omni-MLLMs: A Survey on MLLMs Aligned with Multi-modalities.
ACL (Findings)
Shixin Jiang, Jiafeng Liang, Jiyuan Wang, Xuan Dong, Heng Chang, Weijiang Yu, Jinhua Du, Ming Liu, Bing Qin
2025 J jnl
Good Learners Think Their Thinking: Generative PRM Makes Large Reasoning Model More Efficient Math Learner.
CoRR
Tao He, Rongchuan Mu, Lizi Liao, Yixin Cao, Ming Liu, Bing Qin
2025 B conf
GraCoRe: Benchmarking Graph Comprehension and Complex Reasoning in Large Language Models.
COLING
Zike Yuan, Ming Liu, Hui Wang, Bing Qin
2025 A* conf
How do Language Models Reshape Entity Alignment? A Survey of LM-Driven EA Methods: Advances, Benchmarks, and Future.
EMNLP
Zerui Chen, Huiming Fan, Qianyu Wang, Tao He, Ming Liu, Heng Chang, Weijiang Yu, Ze Li, Bing Qin
2025 A* conf
Improved Diffusion-based Generative Model with Better Adversarial Robustness.
ICLR
Zekun Wang, Mingyang Yi, Shuchen Xue, Zhenguo Li, Ming Liu, Bing Qin, Zhiming Ma
2025 J jnl
Improved Diffusion-based Generative Model with Better Adversarial Robustness.
CoRR
Zekun Wang, Mingyang Yi, Shuchen Xue, Zhenguo Li, Ming Liu, Bing Qin, Zhi-Ming Ma
2025 — conf
Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency.
ACL (1)
Jiafeng Liang, Shixin Jiang, Xuan Dong, Ning Wang, Zheng Chu, Hui Su, Jinlan Fu, Ming Liu, See-Kiong Ng, Bing Qin
2025 J jnl
Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency.
CoRR
Jiafeng Liang, Shixin Jiang, Xuan Dong, Ning Wang, Zheng Chu, Hui Su, Jinlan Fu, Ming Liu, See-Kiong Ng, Bing Qin
2025 A* conf
MA-GTS: A Multi-Agent Framework for Solving Complex Graph Problems in Real-World Applications.
EMNLP
Zike Yuan, Ming Liu, Hui Wang, Bing Qin
2025 J jnl
MA-GTS: A Multi-Agent Framework for Solving Complex Graph Problems in Real-World Applications.
CoRR
Zike Yuan, Ming Liu, Hui Wang, Bing Qin
2025 J jnl
MCAT: Scaling Many-to-Many Speech-to-Text Translation with MLLMs to 70 Languages.
CoRR
Yexing Du, Kaiyuan Liu, Youcheng Pan, Bo Yang, Keqi Deng, Xie Chen, Yang Xiang, Ming Liu, Bing Qin, Yaowei Wang
2025 — conf
Making LLMs Better Many-to-Many Speech-to-Text Translators with Curriculum Learning.
ACL (1)
Yexing Du, Youcheng Pan, Ziyang Ma, Bo Yang, Yifan Yang, Keqi Deng, Xie Chen, Yang Xiang, Ming Liu, Bing Qin
2025 J jnl
NLP-AKG: Few-Shot Construction of NLP Academic Knowledge Graph Based on LLM.
CoRR
Jiayin Lan, Jiaqi Li, Baoxin Wang, Ming Liu, Dayong Wu, Shijin Wang, Bing Qin
2025 J jnl
Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering.
CoRR
Runxuan Liu, Bei Luo, Jiaqi Li, Baoxin Wang, Ming Liu, Dayong Wu, Shijin Wang, Bing Qin
2025 — conf
Self-Critique Guided Iterative Reasoning for Multi-hop Question Answering.
ACL (Findings)
Zheng Chu, Huiming Fan, Jingchang Chen, Qianyu Wang, Mingda Yang, Jiafeng Liang, Zhongjie Wang, Hao Li, Guo Tang, Ming Liu, Bing Qin
2025 J jnl
Self-Critique Guided Iterative Reasoning for Multi-hop Question Answering.
CoRR
Zheng Chu, Huiming Fan, Jingchang Chen, Qianyu Wang, Ming-Hsuan Yang, Jiafeng Liang, Zhongjie Wang, Hao Li, Guo Tang, Ming Liu, Bing Qin
2025 A* conf
Simulating Before Planning: Constructing Intrinsic User World Model for User-Tailored Dialogue Policy Planning.
SIGIR
Tao He, Lizi Liao, Ming Liu, Bing Qin
2025 J jnl
Simulating Before Planning: Constructing Intrinsic User World Model for User-Tailored Dialogue Policy Planning.
CoRR
Tao He, Lizi Liao, Ming Liu, Bing Qin
2025 A* conf
Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues.
AAAI
Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Yiheng Sun, Zerui Chen, Ming Liu, Bing Qin
2025 B conf
Towards Faithful Multi-step Reasoning through Fine-Grained Causal-aware Attribution Reasoning Distillation.
COLING
Zheng Chu, Jingchang Chen, Zhongjie Wang, Guo Tang, Qianglong Chen, Ming Liu, Bing Qin
2024 — conf
BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering.
ACL (1)
Zheng Chu, Jingchang Chen, Qianglong Chen, Haotian Wang, Kun Zhu, Xiyuan Du, Weijiang Yu, Ming Liu, Bing Qin
2024 J jnl
BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering.
CoRR
Zheng Chu, Jingchang Chen, Qianglong Chen, Haotian Wang, Kun Zhu, Xiyuan Du, Weijiang Yu, Ming Liu, Bing Qin
2024 J jnl
CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information.
CoRR
Yuxin Wang, Minghua Ma, Zekun Wang, Jingchang Chen, Huiming Fan, Liping Shan, Qing Yang, Dongliang Xu, Ming Liu, Bing Qin
2024 J jnl
CoT-ST: Enhancing LLM-based Speech Translation with Multimodal Chain-of-Thought.
CoRR
Yexing Du, Ziyang Ma, Yifan Yang, Keqi Deng, Xie Chen, Bo Yang, Yang Xiang, Ming Liu, Bing Qin
2024 — conf
CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models.
EMNLP (Findings)
Yaojia Lv, Haojie Pan, Zekun Wang, Jiafeng Liang, Yuanxing Liu, Ruiji Fu, Ming Liu, Zhongyuan Wang, Bing Qin
2024 J jnl
CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models.
CoRR
Yaojia Lv, Haojie Pan, Ruiji Fu, Ming Liu, Zhongyuan Wang, Bing Qin
2024 — conf
Decompose, Prioritize, and Eliminate: Dynamically Integrating Diverse Representations for Multimodal Named Entity Recognition.
LREC/COLING
Zihao Zheng, Zihan Zhang, Zexin Wang, Ruiji Fu, Ming Liu, Zhongyuan Wang, Bing Qin
2024 A* conf
Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation.
NeurIPS
Jingchang Chen, Hongxuan Tang, Zheng Chu, Qianglong Chen, Zekun Wang, Ming Liu, Bing Qin
2024 J jnl
Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation.
CoRR
Jingchang Chen, Hongxuan Tang, Zheng Chu, Qianglong Chen, Zekun Wang, Ming Liu, Bing Qin
2024 J jnl
From Specific-MLLM to Omni-MLLM: A Survey about the MLLMs alligned with Multi-Modality.
CoRR
Shixin Jiang, Jiafeng Liang, Ming Liu, Bing Qin
2024 — conf
Fusion Pruning for Large Language Models.
ISCSLP
Shixin Jiang, Ming Liu, Bing Qin
2024 A* conf
GUIDE: A Guideline-Guided Dataset for Instructional Video Comprehension.
IJCAI
Jiafeng Liang, Shixin Jiang, Zekun Wang, Haojie Pan, Zerui Chen, Zheng Chu, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin
2024 J jnl
GUIDE: A Guideline-Guided Dataset for Instructional Video Comprehension.
CoRR
Jiafeng Liang, Shixin Jiang, Zekun Wang, Haojie Pan, Zerui Chen, Zheng Chu, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin
2024 J jnl
GraCoRe: Benchmarking Graph Comprehension and Complex Reasoning in Large Language Models.
CoRR
Zike Yuan, Ming Liu, Hui Wang, Bing Qin
2024 — conf
Infrared-LLaVA: Enhancing Understanding of Infrared Images in Multi-Modal Large Language Models.
EMNLP (Findings)
Shixin Jiang, Zerui Chen, Jiafeng Liang, Yanyan Zhao, Ming Liu, Bing Qin
2024 — conf
Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future.
ACL (1)
Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Tao He, Haotian Wang, Weihua Peng, Ming Liu, Bing Qin, Ting Liu
2024 J jnl
Optimal Control in Both Steady State and Transient Process with Unknown Disturbances.
CoRR
Ming Liu, Zhaojian Wang, Feng Liu, Ming Cao, Bo Yang
2024 — conf
Planning Like Human: A Dual-process Framework for Dialogue Planning.
ACL (1)
Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Ming Liu, Zerui Chen, Bing Qin
2024 J jnl
Planning Like Human: A Dual-process Framework for Dialogue Planning.
CoRR
Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Ming Liu, Zerui Chen, Bing Qin
2024 Misc conf
Relational Graph-Bridged Image-Text Interaction: A Novel Method for Multi-Modal Relation Extraction.
ICASSP
Zihao Zheng, Tao He, Ming Liu, Zhongyuan Wang, Ruiji Fu, Bing Qin
2024 J jnl
Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues.
CoRR
Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Yiheng Sun, Zerui Chen, Ming Liu, Bing Qin
2024 — conf
SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models.
LREC/COLING
Zekun Wang, Jingchang Chen, Wangchunshu Zhou, Haichao Zhu, Jiafeng Liang, Liping Shan, Ming Liu, Dongliang Xu, Qing Yang, Bing Qin
2024 — conf
TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models.
ACL (1)
Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Haotian Wang, Ming Liu, Bing Qin
2024 — conf
Towards Benchmarking Situational Awareness of Large Language Models: Comprehensive Benchmark, Evaluation and Analysis.
EMNLP (Findings)
Guo Tang, Zheng Chu, Wenxiang Zheng, Ming Liu, Bing Qin
2024 J jnl
VEM
Data Min. Knowl. Discov.
Tao He, Ming Liu, Yixin Cao, Meng Qu, Zihao Zheng, Bing Qin
2023 J jnl
A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future.
CoRR
Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Tao He, Haotian Wang, Weihua Peng, Ming Liu, Bing Qin, Ting Liu
2023 J jnl
A speaker-aware multiparty dialogue discourse parser with heterogeneous graph neural network.
Cogn. Syst. Res.
Jiaqi Li, Ming Liu, Yuxin Wang, Daxing Zhang, Bing Qin
2023 J jnl
Exploring & Exploiting High-Order Graph Structure for Sparse Knowledge Graph Completion.
CoRR
Tao He, Ming Liu, Yixin Cao, Zekun Wang, Zihao Zheng, Zheng Chu, Bing Qin
2023 A* conf
GTR: A Grafting-Then-Reassembling Framework for Dynamic Scene Graph Generation.
IJCAI
Jiafeng Liang, Yuxin Wang, Zekun Wang, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin
2023 J jnl
KwaiAgents: Generalized Information-seeking Agent System with Large Language Models.
CoRR
Haojie Pan, Zepeng Zhai, Hao Yuan, Yaojia Lv, Ruiji Fu, Ming Liu, Zhongyuan Wang, Bing Qin
2023 J jnl
MALN: Multimodal Adversarial Learning Network for Conversational Emotion Recognition.
IEEE Trans. Circuits Syst. Video Technol.
Minjie Ren, Xiangdong Huang, Jing Liu, Ming Liu, Xuanya Li, An-An Liu
2023 — conf
MTGER: Multi-view Temporal Graph Enhanced Temporal Reasoning over Time-Involved Document.
EMNLP (Findings)
Zheng Chu, Zekun Wang, Jiafeng Liang, Ming Liu, Bing Qin
2023 J jnl
MTGER: Multi-view Temporal Graph Enhanced Temporal Reasoning over Time-Involved Document.
CoRR
Zheng Chu, Zekun Wang, Jiafeng Liang, Ming Liu, Bing Qin
2023 J jnl
SmartTrim: Adaptive Tokens and Parameters Pruning for Efficient Vision-Language Models.
CoRR
Zekun Wang, Jingchang Chen, Wangchunshu Zhou, Ming Liu, Bing Qin
2023 J jnl
TAGNet: a tiny answer-guided network for conversational question generation.
Int. J. Mach. Learn. Cybern.
Zekun Wang, Haichao Zhu, Ming Liu, Bing Qin
2023 J jnl
TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models.
CoRR
Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Haotian Wang, Ming Liu, Bing Qin
2022 J jnl
A survey of discourse parsing.
Frontiers Comput. Sci.
Jiaqi Li, Ming Liu, Bing Qin, Ting Liu
2022 J jnl
BigCilin: An Automatic Chinese Open-domain Knowledge Graph with Fine-grained Hypernym-Hyponym Relations.
CoRR
Ming Liu, Yaojia Lv, Jingrun Zhang, Ruiji Fu, Bing Qin
2022 — ed.
CCKS 2021 - Evaluation Track - 6th China Conference on Knowledge Graph and Semantic Computing, CCKS 2021, Guangzhou, China, December 25-26, 2021, Revised Selected Papers
CCKS (Evaluation Track)
Bing Qin, Haofen Wang, Ming Liu, Jiangtao Zhang
2022 A* conf
Distilled Dual-Encoder Model for Vision-Language Understanding.
EMNLP
Zekun Wang, Wenhui Wang, Haichao Zhu, Ming Liu, Bing Qin, Furu Wei
2022 — conf
HIT at SemEval-2022 Task 2: Pre-trained Language Model for Idioms Detection.
SemEval@NAACL
Zheng Chu, Ziqing Yang, Yiming Cui, Zhigang Chen, Ming Liu
2022 J jnl
HIT at SemEval-2022 Task 2: Pre-trained Language Model for Idioms Detection.
CoRR
Zheng Chu, Ziqing Yang, Yiming Cui, Zhigang Chen, Ming Liu
2022 J jnl
Kuaipedia: a Large-scale Multi-modal Short-video Encyclopedia.
CoRR
Haojie Pan, Yuzhou Zhang, Zepeng Zhai, Ruiji Fu, Ming Liu, Yangqiu Song, Zhongyuan Wang, Bing Qin
2022 J jnl
VEM
CoRR
Tao He, Tianwen Jiang, Zihao Zheng, Haichao Zhu, Jingrun Zhang, Ming Liu, Sendong Zhao, Bing Qin
2021 B conf
DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension.
IJCNN
Jiaqi Li, Ming Liu, Zihao Zheng, Heng Zhang, Bing Qin, Min-Yen Kan, Ting Liu
2021 J jnl
DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension.
CoRR
Jiaqi Li, Ming Liu, Zihao Zheng, Heng Zhang, Bing Qin, Min-Yen Kan, Ting Liu
2021 J jnl
Distilled Dual-Encoder Model for Vision-Language Understanding.
CoRR
Zekun Wang, Wenhui Wang, Haichao Zhu, Ming Liu, Bing Qin, Furu Wei
2021 A conf
GEDIT: Geographic-Enhanced and Dependency-Guided Tagging for Joint POI and Accessibility Extraction at Baidu Maps.
CIKM
Yibo Sun, Jizhou Huang, Chunyuan Yuan, Miao Fan, Haifeng Wang, Ming Liu, Bing Qin
2021 J jnl
GEDIT: Geographic-Enhanced and Dependency-Guided Tagging for Joint POI and Accessibility Extraction at Baidu Maps.
CoRR
Yibo Sun, Jizhou Huang, Chunyuan Yuan, Miao Fan, Haifeng Wang, Ming Liu, Bing Qin
2021 — conf
Less Is More: Domain Adaptation with Lottery Ticket for Reading Comprehension.
EMNLP (Findings)
Haichao Zhu, Zekun Wang, Heng Zhang, Ming Liu, Sendong Zhao, Bing Qin
2020 — conf
A Passage-Level Text Similarity Calculation.
NLPCC (1)
Ming Liu, Zihao Zheng, Bing Qin, Yitong Liu
2020 — conf
Document-Level Event Subject Pair Recognition.
NLPCC (1)
Zhenyu Hu, Ming Liu, Yin Wu, Jiexin Xu, Bing Qin, Jinlong Li
2020 B conf
Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure.
COLING
Jiaqi Li, Ming Liu, Min-Yen Kan, Zihao Zheng, Zekun Wang, Wenqiang Lei, Ting Liu, Bing Qin
2020 J jnl
Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure.
CoRR
Jiaqi Li, Ming Liu, Min-Yen Kan, Zihao Zheng, Zekun Wang, Wenqiang Lei, Ting Liu, Bing Qin
2020 — conf
Quality-Driven and Abstraction-Oriented Software Construction Course Design: To Fill the Gap between Programming and Software Engineering Courses.
ACM TUR-C
Zhongjie Wang, Hanchuan Xu, Ming Liu, Xiaofei Xu
2020 — conf
Use of "Internal Knowledge": Biomedical Literature Search Liberated From External Resources.
BIBM
Tianwen Jiang, Ning Zhang, Ming Liu, Meng Jiang, Ting Liu, Bing Qin
2019 J jnl
A Multi-View-Based Collective Entity Linking Method.
ACM Trans. Inf. Syst.
Ming Liu, Gu Gong, Bing Qin, Ting Liu
2019 J jnl
An Annotation Scheme of A Large-scale Multi-party Dialogues Dataset for Discourse Parsing and Machine Comprehension.
CoRR
Jiaqi Li, Ming Liu, Bing Qin, Zihao Zheng, Ting Liu
2019 J jnl
Attribute Acquisition in Ontology based on Representation Learning of Hierarchical Classes and Attributes.
CoRR
Tianwen Jiang, Ming Liu, Bing Qin, Ting Liu
2019 J jnl
Collective entity linking: a random walk-based perspective.
Knowl. Inf. Syst.
Ming Liu, Yanyan Zhao, Bing Qin, Ting Liu
2019 — ed.
Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding - 4th China Conference, CCKS 2019, Hangzhou, China, August 24-27, 2019, Revised Selected Papers
CCKS
Xiaoyan Zhu, Bing Qin, Xiaodan Zhu, Ming Liu, Longhua Qian
2019 J jnl
Towards Time-Aware Distant Supervision for Relation Extraction.
CoRR
Tianwen Jiang, Sendong Zhao, Jing Liu, Jin-Ge Yao, Ming Liu, Bing Qin, Ting Liu, Chin-Yew Lin
2018 — conf
CausalTriad: Toward Pseudo Causal Relation Discovery and Hypotheses Generation from Medical Text Data.
BCB
Sendong Zhao, Meng Jiang, Ming Liu, Bing Qin, Ting Liu
2018 A* conf
Topic-to-Essay Generation with Neural Networks.
IJCAI
Xiaocheng Feng, Ming Liu, Jiahao Liu, Bing Qin, Yibo Sun, Ting Liu
2017 — conf
Collective Entity Linking Based on DBpedia.
CCKS
Guidong Zheng, Ming Liu, Bingquan Liu
2017 — conf
Constructing Semantic Hierarchies via Fusion Learning Architecture.
CCIR
Tianwen Jiang, Ming Liu, Bing Qin, Ting Liu
2017 J jnl
DBpedia-Based Entity Linking via Greedy Search and Adjusted Monte Carlo Random Walk.
ACM Trans. Inf. Syst.
Ming Liu, Lei Chen, Bingquan Liu, Guidong Zheng, Xiaoming Zhang
2017 — conf
Resolving Chinese Zero Pronoun with Word Embedding.
NLPCC
Bingquan Liu, Xinkai Du, Ming Liu, Chengjie Sun, Guidong Zheng, Chao Zou
2016 A* conf
App relationship calculation: An iterative process.
ICDE
Ming Liu, Chong Wu, Xiang-Nan Zhao, Chin-Yew Lin, Xiaolong Wang
2016 — conf
Extended Dependency-Based Word Embeddings for Aspect Extraction.
ICONIP (4)
Xin Wang, Yuanchao Liu, Chengjie Sun, Ming Liu, Xiaolong Wang
2016 J jnl
Understanding Gating Operations in Recurrent Neural Networks through Opinion Expression Extraction.
Entropy
Xin Wang, Yuanchao Liu, Ming Liu, Chengjie Sun, Xiaolong Wang
2016 A* conf
Write-righter: An Academic Writing Assistant System.
AAAI
Yuanchao Liu, Xin Wang, Ming Liu, Xiaolong Wang
2015 J jnl
A vector reconstruction based clustering algorithm particularly for large-scale text collection.
Neural Networks
Ming Liu, Chong Wu, Lei Chen
2015 J jnl
APP Relationship Calculation: An Iterative Process.
IEEE Trans. Knowl. Data Eng.
Ming Liu, Chong Wu, Xiang-Nan Zhao, Chin-Yew Lin, Xiaolong Wang
2015 J jnl
Deep Belief Network-Based Approaches for Link Prediction in Signed Social Networks.
Entropy
Feng Liu, Bingquan Liu, Chengjie Sun, Ming Liu, Xiaolong Wang
2015 — conf
Evaluating tag quality for blogger modelling via topic models.
FSKD
Lili Shan, Chengjie Sun, Lei Lin, Ming Liu, Xiaolong Wang, Bingquan Liu
2015 — conf
Improving Link Prediction in Social Networks by User Comments and Sentiment Lexicon.
CCL
Feng Liu, Bingquan Liu, Chengjie Sun, Ming Liu, Xiaolong Wang
2015 — conf
Multimodal Deep Belief Network Based Link Prediction and User Comment Generation.
ICONIP (4)
Feng Liu, Bingquan Liu, Chengjie Sun, Ming Liu, Xiaolong Wang
2015 — conf
Multimodal Learning Based Approaches for Link Prediction in Social Networks.
NLPCC
Feng Liu, Bingquan Liu, Chengjie Sun, Ming Liu, Xiaolong Wang
2015 J jnl
Predicting the quality of user-generated answers using co-training in community-based question answering portals.
Pattern Recognit. Lett.
Bingquan Liu, Jian Feng, Ming Liu, Haifeng Hu, Xiaolong Wang
2015 A* conf
VRCA: A Clustering Algorithm for Massive Amount of Texts.
IJCAI
Ming Liu, Lei Chen, Bingquan Liu, Xiaolong Wang
2014 — conf
Computing Semantic Relatedness Using a Word-Text Mutual Guidance Model.
NLPCC
Bingquan Liu, Jian Feng, Ming Liu, Feng Liu, Xiaolong Wang, Peng Li
2014 J jnl
Weight evaluation for features via constrained data-pairscan't-linkq.
Inf. Sci.
Ming Liu, Chong Wu, Yuanchao Liu
2013 J jnl
Abstract Sentence Classification for Scientific Papers Based on Transductive SVM.
Comput. Inf. Sci.
Yuanchao Liu, Feng Wu, Ming Liu, Bingquan Liu
2013 — conf
Deep Learning Approaches for Link Prediction in Social Network Services.
ICONIP (2)
Feng Liu, Bingquan Liu, Chengjie Sun, Ming Liu, Xiaolong Wang
2013 Misc conf
Exploring social features for answer quality prediction in CQA portals.
ICMLC
Haifeng Hu, Bingquan Liu, Baoxun Wang, Ming Liu, Xiaolong Wang
2013 — conf
Multimodal DBN for Predicting High-Quality Answers in cQA portals.
ACL (2)
Haifeng Hu, Bingquan Liu, Baoxun Wang, Ming Liu, Xiaolong Wang
2013 — conf
PAL: A Chatterbot System for Answering Domain-specific Questions.
ACL (Conference System Demonstrations)
Yuanchao Liu, Ming Liu, Xiaolong Wang, Limin Wang, Jingjing Li
2013 J jnl
Probability-based text clustering algorithm by alternately repeating two operations.
J. Inf. Sci.
Ming Liu, Yuanchao Liu, Bingquan Liu, Lei Lin
2012 — conf
A Novel Self-Adaptive Clustering Algorithm for Dynamic Data.
ICONIP (3)
Ming Liu, Lei Lin, Lili Shan, Chengjie Sun
2012 Misc conf
Detecting hot topics in technology news streams.
ICMLC
Bo You, Ming Liu, Bingquan Liu, Xiaolong Wang
2012 B conf
Features for link prediction in social networks: A comprehensive study.
SMC
Feng Liu, Bingquan Liu, Xiaolong Wang, Ming Liu, Baoxun Wang
2012 — conf
Sequence memoizer based model for Biomedical Named Entity Recognition.
FSKD
Yaming Sun, Chengjie Sun, Lei Lin, Ming Liu, Xiaolong Wang
2011 J jnl
Research of fast SOM clustering for text information.
Expert Syst. Appl.
Yuanchao Liu, Chong Wu, Ming Liu
2009 — conf
Research on Feature Extraction from Chinese Text for Opinion Mining.
IALP
Shanzong Zhu, Yuanchao Liu, Ming Liu, Peiliang Tian
2008 — conf
A clustering retrieval system of Chinese information.
NLPKE
Xin-Guang Sha, Yuanchao Liu, Ming Liu, Xiaolong Wang
2008 — conf
IGSOM: Incremental Clustering Based on Self-Organizing-Mapping.
IIH-MSP
Ming Liu, Yuanchao Liu, Xiaolong Wang