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ORCIDMin Yang 0007
Person information
- affiliation: Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, China
- affiliation (PhD 2017): University of Hong Kong, Hong Kong
Other persons with the same name
- Min Yang — disambiguation page
- Min Yang 0001 — Wuhan University, Computer School, State Key Lab of Software Engineering, China
- Min Yang 0002
![[0000-0001-9714-5545]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-9714-5545")
— Fudan University, School of Computer Science, Shanghai Key Laboratory of Data Science, China - Min Yang 0003 — Beijing Institute of Technology, School of Computer Science, Beijing Laboratory of Intelligent Information Technology, China
- Min Yang 0004 — Zhejiang University, College of Computer Science, China
- Min Yang 0005 — Hong Kong Institute of Education, Hong Kong
- Min Yang 0006 — Wuhan University, School of Resource and Environment Sciences, China
- Min Yang 0008 — FalconStor Software, Melville, NY, USA (and 2 more)
- Min Yang 0009 — Yantai University, Yantai, China
- Min Yang 0010 — Sun Yat-sen University, School of Electronics and Information Technology, Guangzhou, China (and 1 more)
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2020 – today
- 2025
[j87]Bingbing Wang, Bin Liang, Zhixin Bai, Min Yang, Lin Gui, Ruifeng Xu:
GazeGCN: Gaze-aware Graph Convolutional Network for Text Classification. Neurocomputing 611: 128680 (2025)- 2024
- [j86]Xiaoyan Zhao, Yang Deng, Min Yang, Lingzhi Wang, Rui Zhang, Hong Cheng, Wai Lam, Ying Shen, Ruifeng Xu:
A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers. ACM Comput. Surv. 56(11): 293:1-293:39 (2024) - [j85]Mingshan Chang, Min Yang, Qingshan Jiang, Ruifeng Xu:
Contrastive variational information bottleneck for aspect-based sentiment analysis. Knowl. Based Syst. 284: 111302 (2024) - [j84]Bingbing Wang, Shijue Huang, Bin Liang, Geng Tu, Min Yang, Ruifeng Xu:
What do they "meme"? A metaphor-aware multi-modal multi-task framework for fine-grained meme understanding. Knowl. Based Syst. 294: 111778 (2024) - [j83]Hanrui Wu, Yanxin Wu, Nuosi Li, Min Yang, Jia Zhang, Michael K. Ng, Jinyi Long:
High-order proximity and relation analysis for cross-network heterogeneous node classification. Mach. Learn. 113(9): 6247-6272 (2024) - [j82]Shujie Li, Liang Li, Ruiying Geng, Min Yang, Binhua Li, Guanghu Yuan, Wanwei He, Shao Yuan, Can Ma, Fei Huang, Yongbin Li:
Unifying Structured Data as Graph for Data-to-Text Pre-Training. Trans. Assoc. Comput. Linguistics 12: 210-228 (2024) - [j81]Qianlong Wang, Hongling Xu, Zhiyuan Wen, Bin Liang, Min Yang, Bing Qin, Ruifeng Xu:
Image-to-Text Conversion and Aspect-Oriented Filtration for Multimodal Aspect-Based Sentiment Analysis. IEEE Trans. Affect. Comput. 15(3): 1264-1278 (2024) - [j80]Shiwen Ni, Jiawen Li, Min Yang, Hung-Yu Kao:
DropAttack: A Random Dropped Weight Attack Adversarial Training for Natural Language Understanding. IEEE ACM Trans. Audio Speech Lang. Process. 32: 364-373 (2024) - [j79]Rui Zhang, Yixin Su, Bayu Distiawan Trisedya, Xiaoyan Zhao, Min Yang, Hong Cheng, Jianzhong Qi:
AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment Enabled by Large Language Models. IEEE Trans. Knowl. Data Eng. 36(6): 2357-2371 (2024) - [j78]Shujie Li, Guanghu Yuan, Min Yang, Ying Shen, Chengming Li, Ruifeng Xu, Xiaoyan Zhao:
Improving Semi-Supervised Text Classification with Dual Meta-Learning. ACM Trans. Inf. Syst. 42(4): 109:1-109:28 (2024) - [c177]Run Luo, Zikai Song, Lintao Ma, Jinlin Wei, Wei Yang, Min Yang:
DiffusionTrack: Diffusion Model for Multi-Object Tracking. AAAI 2024: 3991-3999 - [c176]Mingshan Chang, Min Yang, Qingshan Jiang, Ruifeng Xu:
Counterfactual-Enhanced Information Bottleneck for Aspect-Based Sentiment Analysis. AAAI 2024: 17736-17744 - [c175]Hongling Xu, Qianlong Wang, Yice Zhang, Min Yang, Xi Zeng, Bing Qin, Ruifeng Xu:
Improving In-Context Learning with Prediction Feedback for Sentiment Analysis. ACL (Findings) 2024: 3879-3890 - [c174]Yunshui Li, Binyuan Hui, Xiaobo Xia, Jiaxi Yang, Min Yang, Lei Zhang, Shuzheng Si, Ling-Hao Chen, Junhao Liu, Tongliang Liu, Fei Huang, Yongbin Li:
One-Shot Learning as Instruction Data Prospector for Large Language Models. ACL (1) 2024: 4586-4601 - [c173]Yang Sun, Muyi Wang, Jianzhu Bao, Bin Liang, Xiaoyan Zhao, Caihua Yang, Min Yang, Ruifeng Xu:
PITA: Prompting Task Interaction for Argumentation Mining. ACL (1) 2024: 5036-5049 - [c172]Shiwen Ni, Dingwei Chen, Chengming Li, Xiping Hu, Ruifeng Xu, Min Yang:
Forgetting before Learning: Utilizing Parametric Arithmetic for Knowledge Updating in Large Language Models. ACL (1) 2024: 5716-5731 - [c171]Jinchang Hou, Chang Ao, Haihong Wu, Xiangtao Kong, Zhigang Zheng, Daijia Tang, Chengming Li, Xiping Hu, Ruifeng Xu, Shiwen Ni, Min Yang:
E-EVAL: A Comprehensive Chinese K-12 Education Evaluation Benchmark for Large Language Models. ACL (Findings) 2024: 7753-7774 - [c170]Jiaxi Yang, Binyuan Hui, Min Yang, Jian Yang, Junyang Lin, Chang Zhou:
Synthesizing Text-to-SQL Data from Weak and Strong LLMs. ACL (1) 2024: 7864-7875 - [c169]Feiteng Fang, Yuelin Bai, Shiwen Ni, Min Yang, Xiaojun Chen, Ruifeng Xu:
Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training. ACL (1) 2024: 10028-10039 - [c168]Yang Sun, Guanrong Chen, Caihua Yang, Jianzhu Bao, Bin Liang, Xi Zeng, Min Yang, Ruifeng Xu:
Discourse Structure-Aware Prefix for Generation-Based End-to-End Argumentation Mining. ACL (Findings) 2024: 11597-11613 - [c167]Yuhang He, Jianzhu Bao, Yang Sun, Bin Liang, Min Yang, Bing Qin, Ruifeng Xu:
Decomposing Argumentative Essay Generation via Dialectical Planning of Complex Reasoning. ACL (Findings) 2024: 12305-12322 - [c166]Bin Liang, Ang Li, Jingqian Zhao, Lin Gui, Min Yang, Yue Yu, Kam-Fai Wong, Ruifeng Xu:
Multi-modal Stance Detection: New Datasets and Model. ACL (Findings) 2024: 12373-12387 - [c165]Chenhao Zhang, Renhao Li, Minghuan Tan, Min Yang, Jingwei Zhu, Di Yang, Jiahao Zhao, Guancheng Ye, Chengming Li, Xiping Hu:
CPsyCoun: A Report-based Multi-turn Dialogue Reconstruction and Evaluation Framework for Chinese Psychological Counseling. ACL (Findings) 2024: 13947-13966 - [c164]Ancheng Xu, Minghuan Tan, Lei Wang, Min Yang, Ruifeng Xu:
NUMCoT: Numerals and Units of Measurement in Chain-of-Thought Reasoning using Large Language Models. ACL (Findings) 2024: 14268-14290 - [c163]Jiaxi Yang, Binyuan Hui, Min Yang, Bailin Wang, Bowen Li, Binhua Li, Fei Huang, Yongbin Li:
Iterative Forward Tuning Boosts In-Context Learning in Language Models. ACL (1) 2024: 15460-15473 - [c162]Yuxuan Hu, Minghuan Tan, Chenwei Zhang, Zixuan Li, Xiaodan Liang, Min Yang, Chengming Li, Xiping Hu:
APTNESS: Incorporating Appraisal Theory and Emotion Support Strategies for Empathetic Response Generation. CIKM 2024: 900-909 - [c161]Guanghu Yuan, Jieyu Yang, Shujie Li, Mingjie Zhong, Ang Li, Ke Ding, Yong He, Min Yang, Liang Zhang, Xiaolu Zhang, Linjian Mo:
MMLRec: A Unified Multi-Task and Multi-Scenario Learning Benchmark for Recommendation. CIKM 2024: 3063-3072 - [c160]Nan Xie, Yuelin Bai, Hengyuan Gao, Ziqiang Xue, Feiteng Fang, Qixuan Zhao, Zhijian Li, Liang Zhu, Shiwen Ni, Min Yang:
DeliLaw: A Chinese Legal Counselling System Based on a Large Language Model. CIKM 2024: 5299-5303 - [c159]Fuqiang Niu, Min Yang, Ang Li, Baoquan Zhang, Xiaojiang Peng, Bowen Zhang:
A Challenge Dataset and Effective Models for Conversational Stance Detection. LREC/COLING 2024: 122-132 - [c158]Feiteng Fang, Liang Zhu, Xi Feng, Jinchang Hou, Qixuan Zhao, Chengming Li, Xiping Hu, Ruifeng Xu, Min Yang:
CLHA: A Simple Yet Effective Contrastive Learning Framework for Human Alignment. LREC/COLING 2024: 3325-3334 - [c157]Shiwen Ni, Min Yang, Ruifeng Xu, Chengming Li, Xiping Hu:
Layer-wise Regularized Dropout for Neural Language Models. LREC/COLING 2024: 10208-10218 - [c156]Shiwen Ni, Minghuan Tan, Yuelin Bai, Fuqiang Niu, Min Yang, Bowen Zhang, Ruifeng Xu, Xiaojun Chen, Chengming Li, Xiping Hu:
MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Property. LREC/COLING 2024: 11658-11668 - [c155]Haoyu Gao, Ting-En Lin, Hangyu Li, Min Yang, Yuchuan Wu, Wentao Ma, Fei Huang, Yongbin Li:
Self-Explanation Prompting Improves Dialogue Understanding in Large Language Models. LREC/COLING 2024: 14567-14578 - [c154]Ziqiang Liu, Shujie Li, Zefeng Cai, Xiangyu Li, Yunshui Li, Chengming Li, Xiping Hu, Ruifeng Xu, Min Yang:
TP-Link: Fine-grained Pre-Training for Text-to-SQL Parsing with Linking Information. LREC/COLING 2024: 16686-16697 - [c153]Jiaming Li, Lei Zhang, Yunshui Li, Ziqiang Liu, Yuelin Bai, Run Luo, Longze Chen, Min Yang:
Ruler: A Model-Agnostic Method to Control Generated Length for Large Language Models. EMNLP (Findings) 2024: 3042-3059 - [c152]Renhao Li, Minghuan Tan, Derek F. Wong, Min Yang:
CoEvol: Constructing Better Responses for Instruction Finetuning through Multi-Agent Cooperation. EMNLP 2024: 4703-4721 - [c151]Minzheng Wang, Longze Chen, Fu Cheng, Shengyi Liao, Xinghua Zhang, Bingli Wu, Haiyang Yu, Nan Xu, Lei Zhang, Run Luo, Yunshui Li, Min Yang, Fei Huang, Yongbin Li:
Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA. EMNLP 2024: 5627-5646 - [c150]Zhichao Yin, Binyuan Hui, Min Yang, Fei Huang, Yongbin Li:
DialCLIP: Empowering Clip As Multi-Modal Dialog Retriever. ICASSP 2024: 12421-12425 - [c149]Han Zhang, Yu Lei, Lin Gui, Min Yang, Yulan He, Hui Wang, Ruifeng Xu:
CPPO: Continual Learning for Reinforcement Learning with Human Feedback. ICLR 2024 - [c148]Xiaojun Chen, Jimeng Lou, Wenxi Huang, Ting Wan, Qin Zhang, Min Yang:
ReCoS: A Novel Benchmark for Cross-Modal Image-Text Retrieval in Complex Real-Life Scenarios. ACM Multimedia 2024: 9165-9174 - [i93]Zhichao Yin, Binyuan Hui, Min Yang, Fei Huang, Yongbin Li:
DialCLIP: Empowering CLIP as Multi-Modal Dialog Retriever. CoRR abs/2401.01076 (2024) - [i92]Shujie Li, Liang Li, Ruiying Geng, Min Yang, Binhua Li, Guanghu Yuan, Wanwei He, Shao Yuan, Can Ma, Fei Huang, Yongbin Li:
Unifying Structured Data as Graph for Data-to-Text Pre-Training. CoRR abs/2401.01183 (2024) - [i91]Jinchang Hou, Chang Ao, Haihong Wu, Xiangtao Kong, Zhigang Zheng, Daijia Tang, Chengming Li, Xiping Hu, Ruifeng Xu, Shiwen Ni, Min Yang:
E-EVAL: A Comprehensive Chinese K-12 Education Evaluation Benchmark for Large Language Models. CoRR abs/2401.15927 (2024) - [i90]Zhibo Chu, Shiwen Ni, Zichong Wang, Xi Feng, Chengming Li, Xiping Hu, Ruifeng Xu, Min Yang, Wenbin Zhang:
History, Development, and Principles of Large Language Models-An Introductory Survey. CoRR abs/2402.06853 (2024) - [i89]Bin Liang, Ang Li, Jingqian Zhao, Lin Gui, Min Yang, Yue Yu, Kam-Fai Wong, Ruifeng Xu:
Multi-modal Stance Detection: New Datasets and Model. CoRR abs/2402.14298 (2024) - [i88]Shiwen Ni, Min Yang, Ruifeng Xu, Chengming Li, Xiping Hu:
Layer-wise Regularized Dropout for Neural Language Models. CoRR abs/2402.16361 (2024) - [i87]Shiwen Ni, Minghuan Tan, Yuelin Bai, Fuqiang Niu, Min Yang, Bowen Zhang, Ruifeng Xu, Xiaojun Chen, Chengming Li, Xiping Hu, Ye Li, Jianping Fan:
MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Property. CoRR abs/2402.16389 (2024) - [i86]Fuqiang Niu, Min Yang, Ang Li, Baoquan Zhang, Xiaojiang Peng, Bowen Zhang:
A Challenge Dataset and Effective Models for Conversational Stance Detection. CoRR abs/2403.11145 (2024) - [i85]Feiteng Fang, Liang Zhu, Min Yang, Xi Feng, Jinchang Hou, Qixuan Zhao, Chengming Li, Xiping Hu, Ruifeng Xu:
CLHA: A Simple yet Effective Contrastive Learning Framework for Human Alignment. CoRR abs/2403.16649 (2024) - [i84]Yuelin Bai, Xinrun Du, Yiming Liang, Yonggang Jin, Ziqiang Liu, Junting Zhou, Tianyu Zheng, Xincheng Zhang, Nuo Ma, Zekun Wang, Ruibin Yuan, Haihong Wu, Hongquan Lin, Wenhao Huang, Jiajun Zhang, Wenhu Chen, Chenghua Lin, Jie Fu, Min Yang, Shiwen Ni, Ge Zhang:
COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning. CoRR abs/2403.18058 (2024) - [i83]Jiahao Zhao, Jingwei Zhu, Minghuan Tan, Min Yang, Di Yang, Chenhao Zhang, Guancheng Ye, Chengming Li, Xiping Hu:
CPsyExam: A Chinese Benchmark for Evaluating Psychology using Examinations. CoRR abs/2405.10212 (2024) - [i82]Run Luo, Yunshui Li, Longze Chen, Wanwei He, Ting-En Lin, Ziqiang Liu, Lei Zhang, Zikai Song, Xiaobo Xia, Tongliang Liu, Min Yang, Binyuan Hui:
DEEM: Diffusion Models Serve as the Eyes of Large Language Models for Image Perception. CoRR abs/2405.15232 (2024) - [i81]Chenhao Zhang, Renhao Li, Minghuan Tan, Min Yang, Jingwei Zhu, Di Yang, Jiahao Zhao, Guancheng Ye, Chengming Li, Xiping Hu, Derek F. Wong:
CPsyCoun: A Report-based Multi-turn Dialogue Reconstruction and Evaluation Framework for Chinese Psychological Counseling. CoRR abs/2405.16433 (2024) - [i80]Longze Chen, Ziqiang Liu, Wanwei He, Yunshui Li, Run Luo, Min Yang:
Long Context is Not Long at All: A Prospector of Long-Dependency Data for Large Language Models. CoRR abs/2405.17915 (2024) - [i79]Feiteng Fang, Yuelin Bai, Shiwen Ni, Min Yang, Xiaojun Chen, Ruifeng Xu:
Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training. CoRR abs/2405.20978 (2024) - [i78]Ancheng Xu, Minghuan Tan, Lei Wang, Min Yang, Ruifeng Xu:
NUMCoT: Numerals and Units of Measurement in Chain-of-Thought Reasoning using Large Language Models. CoRR abs/2406.02864 (2024) - [i77]Hongling Xu, Qianlong Wang, Yice Zhang, Min Yang, Xi Zeng, Bing Qin, Ruifeng Xu:
Improving In-Context Learning with Prediction Feedback for Sentiment Analysis. CoRR abs/2406.02911 (2024) - [i76]Ziqiang Liu, Feiteng Fang, Xi Feng, Xinrun Du, Chenhao Zhang, Zekun Wang, Yuelin Bai, Qixuan Zhao, Liyang Fan, Chengguang Gan, Hongquan Lin, Jiaming Li, Yuansheng Ni, Haihong Wu, Yaswanth Narsupalli, Zhigang Zheng, Chengming Li, Xiping Hu, Ruifeng Xu, Xiaojun Chen, Min Yang, Jiaheng Liu, Ruibo Liu, Wenhao Huang, Ge Zhang, Shiwen Ni:
II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models. CoRR abs/2406.05862 (2024) - [i75]Renhao Li, Minghuan Tan, Derek F. Wong, Min Yang:
CoEvol: Constructing Better Responses for Instruction Finetuning through Multi-Agent Cooperation. CoRR abs/2406.07054 (2024) - [i74]Minzheng Wang, Longze Chen, Cheng Fu, Shengyi Liao, Xinghua Zhang, Bingli Wu, Haiyang Yu, Nan Xu, Lei Zhang, Run Luo, Yunshui Li, Min Yang, Fei Huang, Yongbin Li:
Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA. CoRR abs/2406.17419 (2024) - [i73]Lei Zhang, Yunshui Li, Jiaming Li, Xiaobo Xia, Jiaxi Yang, Run Luo, Minzheng Wang, Longze Chen, Junhao Liu, Min Yang:
Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs. CoRR abs/2406.18294 (2024) - [i72]Jingwei Zhu, Minghuan Tan, Min Yang, Ruixue Li, Hamid Alinejad-Rokny:
CollectiveSFT: Scaling Large Language Models for Chinese Medical Benchmark with Collective Instructions in Healthcare. CoRR abs/2407.19705 (2024) - [i71]Yuxuan Hu, Minghuan Tan, Chenwei Zhang, Zixuan Li, Xiaodan Liang, Min Yang, Chengming Li, Xiping Hu:
APTNESS: Incorporating Appraisal Theory and Emotion Support Strategies for Empathetic Response Generation. CoRR abs/2407.21048 (2024) - [i70]Nan Xie, Yuelin Bai, Hengyuan Gao, Feiteng Fang, Qixuan Zhao, Zhijian Li, Ziqiang Xue, Liang Zhu, Shiwen Ni, Min Yang:
DeliLaw: A Chinese Legal Counselling System Based on a Large Language Model. CoRR abs/2408.00357 (2024) - [i69]Jiaxi Yang, Binyuan Hui, Min Yang, Jian Yang, Junyang Lin, Chang Zhou:
Synthesizing Text-to-SQL Data from Weak and Strong LLMs. CoRR abs/2408.03256 (2024) - [i68]Guhong Chen, Liyang Fan, Zihan Gong, Nan Xie, Zixuan Li, Ziqiang Liu, Chengming Li, Qiang Qu, Shiwen Ni, Min Yang:
AgentCourt: Simulating Court with Adversarial Evolvable Lawyer Agents. CoRR abs/2408.08089 (2024) - [i67]Dingwei Chen, Feiteng Fang, Shiwen Ni, Feng Liang, Ruifeng Xu, Min Yang, Chengming Li:
Lower Layer Matters: Alleviating Hallucination via Multi-Layer Fusion Contrastive Decoding with Truthfulness Refocused. CoRR abs/2408.08769 (2024) - [i66]Shiwen Ni, Xiangtao Kong, Chengming Li, Xiping Hu, Ruifeng Xu, Jia Zhu, Min Yang:
Training on the Benchmark Is Not All You Need. CoRR abs/2409.01790 (2024) - [i65]Run Luo, Haonan Zhang, Longze Chen, Ting-En Lin, Xiong Liu, Yuchuan Wu, Min Yang, Minzheng Wang, Pengpeng Zeng, Lianli Gao, Heng Tao Shen, Yunshui Li, Xiaobo Xia, Fei Huang, Jingkuan Song, Yongbin Li:
MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct. CoRR abs/2409.05840 (2024) - [i64]Yuxuan Hu, Chenwei Zhang, Min Yang, Xiaodan Liang, Chengming Li, Xiping Hu:
Learning to Generalize Unseen Domains via Multi-Source Meta Learning for Text Classification. CoRR abs/2409.13787 (2024) - [i63]Jiaming Li, Lei Zhang, Yunshui Li, Ziqiang Liu, Yuelin Bai, Run Luo, Longze Chen, Min Yang:
Ruler: A Model-Agnostic Method to Control Generated Length for Large Language Models. CoRR abs/2409.18943 (2024) - [i62]Jing Luo, Run Luo, Longze Chen, Liang Zhu, Chang Ao, Jiaming Li, Yukun Chen, Xin Cheng, Wen Yang, Jiayuan Su, Chengming Li, Min Yang:
PersonaMath: Enhancing Math Reasoning through Persona-Driven Data Augmentation. CoRR abs/2410.01504 (2024) - [i61]Chenhao Zhang, Xi Feng, Yuelin Bai, Xinrun Du, Jinchang Hou, Kaixin Deng, Guangzeng Han, Qinrui Li, Bingli Wang, Jiaheng Liu, Xingwei Qu, Yifei Zhang, Qixuan Zhao, Yiming Liang, Ziqiang Liu, Feiteng Fang, Min Yang, Wenhao Huang, Chenghua Lin, Ge Zhang, Shiwen Ni:
Can MLLMs Understand the Deep Implication Behind Chinese Images? CoRR abs/2410.13854 (2024) - 2023
- [j77]Min Yang, Zhenwei Wang, Qiancheng Xu, Chengming Li, Ruifeng Xu:
Leveraging hierarchical semantic-emotional memory in emotional conversation generation. CAAI Trans. Intell. Technol. 8(3): 824-835 (2023) - [j76]Chenhe Dong, Yinghui Li, Haifan Gong, Miaoxin Chen, Junxin Li, Ying Shen, Min Yang:
A Survey of Natural Language Generation. ACM Comput. Surv. 55(8): 173:1-173:38 (2023) - [j75]Lei Zhang, Shupeng Wang, Fajie Yuan, Binzong Geng, Min Yang:
Lifelong language learning with adaptive uncertainty regularization. Inf. Sci. 622: 794-807 (2023) - [j74]Bowen Qin, Binyuan Hui, Lihan Wang, Min Yang, Binhua Li, Fei Huang, Luo Si, Qingshan Jiang, Yongbin Li:
Schema dependency-enhanced curriculum pre-training for table semantic parsing. Knowl. Based Syst. 262: 110264 (2023) - [j73]Xiao Liu, Min Yang, Ziyu Lyu, Dongding Lin, Piji Li, Ruifeng Xu:
Hierarchical conversation flow transition and reasoning for conversational machine comprehension. Neural Comput. Appl. 35(3): 2413-2428 (2023) - [j72]Bin Liang, Rongdi Yin, Jiachen Du, Lin Gui, Yulan He, Min Yang, Ruifeng Xu:
Embedding Refinement Framework for Targeted Aspect-Based Sentiment Analysis. IEEE Trans. Affect. Comput. 14(1): 279-293 (2023) - [j71]Lei Chen, Fajie Yuan, Jiaxi Yang, Xiangnan He, Chengming Li, Min Yang:
User-Specific Adaptive Fine-Tuning for Cross-Domain Recommendations. IEEE Trans. Knowl. Data Eng. 35(3): 3239-3252 (2023) - [j70]Ziyu Lyu, Yue Wu, Junjie Lai, Min Yang, Chengming Li, Wei Zhou:
Knowledge Enhanced Graph Neural Networks for Explainable Recommendation. IEEE Trans. Knowl. Data Eng. 35(5): 4954-4968 (2023) - [j69]Xiaoyan Zhao, Min Yang, Qiang Qu, Ruifeng Xu, Jieke Li:
Exploring Privileged Features for Relation Extraction With Contrastive Student-Teacher Learning. IEEE Trans. Knowl. Data Eng. 35(8): 7953-7965 (2023) - [j68]Ying Shen, Min Yang, Yaliang Li, Dong Wang, Hai-Tao Zheng, Daoyuan Chen:
Knowledge-Based Reasoning Network for Relation Detection. IEEE Trans. Neural Networks Learn. Syst. 34(8): 5051-5063 (2023) - [j67]Bin Liang, Xiang Li, Lin Gui, Yonghao Fu, Yulan He, Min Yang, Ruifeng Xu:
Few-shot Aspect Category Sentiment Analysis via Meta-learning. ACM Trans. Inf. Syst. 41(1): 22:1-22:31 (2023) - [c147]Xiaokang Liu, Jianquan Li, Jingjing Mu, Min Yang, Ruifeng Xu, Benyou Wang:
Effective Open Intent Classification with K-center Contrastive Learning and Adjustable Decision Boundary. AAAI 2023: 13291-13299 - [c146]Qiancheng Xu, Min Yang, Ruifeng Xu:
Balanced Meta Learning and Diverse Sampling for Lifelong Task-Oriented Dialogue Systems. AAAI 2023: 13843-13852 - [c145]Fangqi Zhu, Jun Gao, Changlong Yu, Wei Wang, Chen Xu, Xin Mu, Min Yang, Ruifeng Xu:
A Generative Approach for Script Event Prediction via Contrastive Fine-Tuning. AAAI 2023: 14056-14064 - [c144]Qiancheng Xu, Min Yang, Binzong Geng:
Class Incremental Learning for Task-Oriented Dialogue System with Contrastive Distillation on Internal Representations (Student Abstract). AAAI 2023: 16368-16369 - [c143]Minghuan Tan, Min Yang, Ruifeng Xu:
Focal Training and Tagger Decouple for Grammatical Error Correction. ACL (Findings) 2023: 5978-5985 - [c142]Tianshu Yu, Haoyu Gao, Ting-En Lin, Min Yang, Yuchuan Wu, Wentao Ma, Chao Wang, Fei Huang, Yongbin Li:
Speech-Text Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal Alignment. ACL (1) 2023: 7900-7913 - [c141]Yang Sun, Bin Liang, Jianzhu Bao, Yice Zhang, Geng Tu, Min Yang, Ruifeng Xu:
Probing Graph Decomposition for Argument Pair Extraction. ACL (Findings) 2023: 13075-13088 - [c140]Yunshui Li, Binyuan Hui, Zhichao Yin, Min Yang, Fei Huang, Yongbin Li:
PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts. ACL (1) 2023: 13402-13416 - [c139]Geng Tu, Bin Liang, Ruibin Mao, Min Yang, Ruifeng Xu:
Context or Knowledge is Not Always Necessary: A Contrastive Learning Framework for Emotion Recognition in Conversations. ACL (Findings) 2023: 14054-14067 - [c138]Qianlong Wang, Keyang Ding, Bin Liang, Min Yang, Ruifeng Xu:
Reducing Spurious Correlations in Aspect-based Sentiment Analysis with Explanation from Large Language Models. EMNLP (Findings) 2023: 2930-2941 - [c137]Chenran Cai, Qianlong Wang, Bin Liang, Bing Qin, Min Yang, Kam-Fai Wong, Ruifeng Xu:
In-context Learning for Few-shot Multimodal Named Entity Recognition. EMNLP (Findings) 2023: 2969-2979 - [c136]Geng Tu, Ran Jing, Bin Liang, Min Yang, Kam-Fai Wong, Ruifeng Xu:
A Training-Free Debiasing Framework with Counterfactual Reasoning for Conversational Emotion Detection. EMNLP 2023: 15639-15650 - [c135]Ang Li, Bin Liang, Jingqian Zhao, Bowen Zhang, Min Yang, Ruifeng Xu:
Stance Detection on Social Media with Background Knowledge. EMNLP 2023: 15703-15717 - [c134]Hanrui Wu, Yuguang Yan, Guosheng Lin, Min Yang, Michael K. Ng, Qingyao Wu:
Iterative Refinement for Multi-Source Visual Domain Adaptation (Extended abstract). ICDE 2023: 3829-3830 - [c133]Chenwei Zhang, Yuxuan Hu, Min Yang, Chengming Li, Xiping Hu:
Skeletal Spatial-Temporal Semantics Guided Homogeneous-Heterogeneous Multimodal Network for Action Recognition. ACM Multimedia 2023: 3657-3666 - [c132]Yunhu Ye, Binyuan Hui, Min Yang, Binhua Li, Fei Huang, Yongbin Li:
Large Language Models are Versatile Decomposers: Decomposing Evidence and Questions for Table-based Reasoning. SIGIR 2023: 174-184 - [c131]Feiteng Fang, Min Yang, Chengming Li, Ruifeng Xu:
Adversarial Meta Prompt Tuning for Open Compound Domain Adaptive Intent Detection. SIGIR 2023: 1791-1795 - [c130]Tianshu Yu, Min Yang, Chengming Li, Ruifeng Xu:
Reducing Spurious Correlations for Relation Extraction by Feature Decomposition and Semantic Augmentation. SIGIR 2023: 2324-2328 - [c129]Haoyu Gao, Rui Wang, Ting-En Lin, Yuchuan Wu, Min Yang, Fei Huang, Yongbin Li:
Unsupervised Dialogue Topic Segmentation with Topic-aware Contrastive Learning. SIGIR 2023: 2481-2485 - [i60]Yunhu Ye, Binyuan Hui, Min Yang, Binhua Li, Fei Huang, Yongbin Li:
Large Language Models are Versatile Decomposers: Decompose Evidence and Questions for Table-based Reasoning. CoRR abs/2301.13808 (2023)