Min Yang (杨敏)

Jiaxi Yang, Bingyuan Hui, Min Yang, Bailin Wang, Bowen Li, Binhua Li, Fei Huang, Yongbin Li. Iterative Forward Tuning Boosts In-Context Learning in Language Models. The Annual Meeting of the Association for Computational Linguistics (ACL), 2024. (CCF A)

Jiaxi Yang, Bingyuan Hui, Min Yang, Jian Yang, Junking Lin, Chang Zhou. Synthesizing Text-to-SQL Data from Weak and Strong LLMs. The Annual Meeting of the Association for Computational Linguistics (ACL), 2024. (CCF A)

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. The Annual Meeting of the Association for Computational Linguistics (ACL), 2024. (CCF A)

Yunshui Li, Bingyuan Hui, Xiaobo Xia, Jiaxi Yang, Min Yang, Lei Zhang, Shushing Si, et al. One-Shot Learning as Instruction Data Prospector for Large Language Models. The Annual Meeting of the Association for Computational Linguistics (ACL), 2024. (CCF A)

Longze Chen, Ziqiang Liu, Yunshui Li, Run Lou, Min Yang. Long Context is Not Long at All: A Prospector of Long-Dependency Data for Large Language Models. The Annual Meeting of the Association for Computational Linguistics (ACL), 2024. (CCF A)

Feiteng Fang, Yuelin Bai, Shiwen Ni, Min Yang, Xiaojun Chen, Ruifeng Xu. Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training. The Annual Meeting of the Association for Computational Linguistics (ACL), 2024. (CCF A)

Lei Zhang, Lei Zhang, Yunshui Li, Ziqiang Liu, Jiaxi Yang, Junhao Liu, Longze Chen, Run Luo, Min Yang. Marathon: A Race Through the Realm of Long Context with Large Language Models. The Annual Meeting of the Association for Computational Linguistics (ACL), 2024. (CCF A)

Yang Sun, Muyi Wang, Jianzhu Bao, Bin Liang, Xiaoyan Zhao, Caihuayang, Min Yang, Ruifeng Xu. PITA: Prompting Task Interaction for Argumentation Mining. The Annual Meeting of the Association for Computational Linguistics (ACL), 2024. (CCF A)

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. The Annual Meeting of the Association for Computational Linguistics (ACL), 2024. (Findings, CCF A)

Yang Sun, Guanrong Chen, 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. The Annual Meeting of the Association for Computational Linguistics (ACL), 2024. (Findings, CCF A)

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. The Annual Meeting of the Association for Computational Linguistics (ACL), 2024. (Findings, CCF A)

Hongling Xu, Qianlong Wang, Yice Zhang, Min Yang, Xi Zeng, Bing Qin, Ruifeng Xu. Improving In-Context Learning with Prediction Feedback for Sentiment Analysis. The Annual Meeting of the Association for Computational Linguistics (ACL), 2024. (Findings, CCF A)

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. The Annual Meeting of the Association for Computational Linguistics (ACL), 2024. (Findings, CCF A)

Yuhang He, Jianzhu Bao, Yang Sun, Bin Liang, Min Yang, Bing Qin, Ruifeng Xu. Decomposing Argumentative Essay Generation via Dialectical Planning of Complex Reasoning. The Annual Meeting of the Association for Computational Linguistics (ACL), 2024. (Findings, CCF A)

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. The Annual Meeting of the Association for Computational Linguistics (ACL), 2024. (Findings, CCF A)

Run Luo, Zikai Song, Lintao Ma, Jinlin Wei, Wei Yang, Min Yang. DiffusionTrack: Diffusion Model For Multi-Object Tracking. Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024. (CCF A)

Mingshan Chang, Min Yang, Qingshan Jiang, Ruifeng Xu. Counterfactual-Enhanced Information Bottleneck for Aspect-Based Sentiment Analysis. Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024. (CCF A)

Haoyu gao, Ting-En Lin, Hangyu Li, Min Yang, Yuchuan Wu, Wentao Ma, Fei Huang and Yongbin Li. Self-Explanation Prompting Improves Dialogue Understanding in Large Language Models. International Conference on Computational Linguistics (COLING), 2024. (CCF B)

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. International Conference on Computational Linguistics (COLING), 2024. (CCF B)

Feiteng Fang, Liang Zhu, Xi Feng, Jinchang Hou, Qixuan Zhao, Chengming Li, Xiping Hu, Ruifeng Xu and Min Yang. CLHA: A Simple yet Effective Contrastive Learning Framework for Human Alignment. International Conference on Computational Linguistics (COLING), 2024. (CCF B)

Shiwen Ni, Minghuan Tan, Yuelin Bai, Fuqiang Niu, Min Yang, Bowen Zhang, Ruifeng Xu, Xiaojun Chen, Chengming Li and Xiping Hu. MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Property. International Conference on Computational Linguistics (COLING), 2024. (CCF B)

Shiwen Ni, Min Yang, Ruifeng Xu, Chengming Li and Xiping Xiping Hu. Layer-wise Regularized Dropout for Neural Language Models. International Conference on Computational Linguistics (COLING), 2024. (CCF B)

Fuqiang Niu, Min Yang, Ang Li, Baoquan Zhang, Xiaojiang Peng and Bowen Zhang. A Challenge Dataset and Effective Models for Conversational Stance Detection. International Conference on Computational Linguistics (COLING), 2024. (CCF B)

Zhichao Yin, Binyuan Hui, Min Yang, Fei Huang, Yongbin Li. DialCLIP: Empowering CLIP as Multi-Modal Dialog Retriever. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024. (CCF B)

Han Zhang, Yu Lei, Lin Gui, Min Yang, Yulan He, Hui Wang, Ruifeng Xu. CPPO: Continual Learning for Reinforcement Learning with Human Feedback. The International Conference on Learning Representations (ICLR), 2024.

Shujie Li, Guanghu Yuan, Min Yang, Ying Shen, Chengming Li, Ruifeng Xu, Xiaoyan Zhao. Improving Semi-Supervised Text Classification with Dual Meta-Learning. ACM Transactions on Information Systems (TOIS), 2024. (CCF A, JCR Q1)

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. Transactions of the Association for Computational Linguistics (TACL), 2024. (JCR Q1)

Xiaoyan Zhao, Min Yang, Qiang Qu, Ruifeng Xu. Few-Shot Relation Extraction With Automatically Generated Prompts. IEEE Transactions on Neural Networks and Learning Systems, 2024. (JCR Q1)

Xiaoyan Zhao, Yang Deng, Min Yang, Lingzhi Wang, Rui Zhang, Hong Cheng, Wei Lam, Yang Shen, Ruifeng Xu. A Comprehensive Survey on Deep Learning for Relation Extraction: Recent Advances and New Frontiers. ACM Computing Surveys (CSUR), 2024.

Mingshan Chang, Min Yang, Qingshan Jiang, Ruifeng Xu. Contrastive Variational Information Bottleneck for Aspect-Based Sentiment Analysis. Knowledge-Based Systems, 2024. (JCR Q1)

Yunshui Li, Binyuan Hui, ZhiChao Yin, Min Yang, Fei Huang and Yongbin Li. PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts. The Annual Meeting of the Association for Computational Linguistics (ACL), 2023. (CCF A)

Tianshu Yu, haoyu gao, Ting-En Lin, Min Yang, Yuchuan Wu, Wentao Ma, chao wang, Fei Huang and Yongbin Li. Speech-Text Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal Alignment. The Annual Meeting of the Association for Computational Linguistics (ACL), 2023. (CCF A)

Minghuan Tan, Min Yang and Ruifeng Xu. Focal Training and Tagger Decouple for Grammatical Error Correction. Findings of ACL, 2023. (CCF A)

Yang Sun, Bin Liang, Jianzhu Bao, Yice Zhang, Geng Tu, Min Yang and Ruifeng Xu. Probing Graph Decomposition for Argument Pair Extraction. Findings of ACL, 2023. (CCF A)

Geng Tu, Bin Liang, Ruibin Mao, Min Yang and Ruifeng Xu. Context or Knowledge is Not Always Necessary: A Contrastive Learning Framework for Emotion Recognition in Conversations. Findings of ACL, 2023. (CCF A)

Chunpu Xu, Jing Li, Piji Li and Min Yang. Topic-Guided Self-Introduction Generation for Social Media Users. Findings of ACL, 2023. (CCF A)

Yunhu Ye, Binyuan Hui, Min Yang, Binhua Li, Fei Huang and Yongbin Li. Large Language Models are Versatile Decomposers: Decomposing Evidence and Questions for Table-based Reasoning. The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023. (CCF A)

Tianshu Yu, Min Yang, Chengming Li and Ruifeng Xu. Reducing Spurious Correlations for Relation Extraction by Feature Decomposition and Semantic Augmentation. The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023. (CCF A)

Feiteng Fang, Min Yang, Chengming Li and Ruifeng Xu. Adversarial Meta Prompt Tuning for Open Compound Domain Adaptive Intent Detection. The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023. (CCF A)

Haoyu Gao, Rui Wang, Ting-En Lin, Yuchuan Wu, Min Yang, Fei Huang and Yongbin Li. Unsupervised Dialogue Topic Segmentation with Topic-aware Contrastive Learning. The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023. (CCF A)

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. The AAAI Conference on Artificial Intelligence (AAAI), 2023. (CCF A)

Qiancheng Xu, Min Yang, Ruifeng Xu. Balanced Meta Learning and Diverse Sampling for Lifelong Task-oriented Dialogue Systems. The AAAI Conference on Artificial Intelligence (AAAI), 2023. (CCF A)

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. The AAAI Conference on Artificial Intelligence (AAAI), 2023. (CCF A)

Chenwei Zhang, Yuxuan Hu, Min Yang, Chengming Li, Xiping Hu. Skeletal Spatial-Temporal Semantics Guided Homogeneous-Heterogeneous Multimodal Network for Action Recognition. ACM International Conference on Multimedia, 2023. (CCF-A)

Ang Li, Bin Liang, Jingqian Zhao, Bowen Zhang, Min Yang, Ruifeng Xu. Stance Detection on Social Media with Background Knowledge. The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023. (CCF B)

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. The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023. (CCF B)

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. The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023. (CCF B)

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 Transactions on Knowledge and Data Engineering, 2023. (CCF A, JCR Q1)

Shiwen Ni, Jiawen Li, Min Yang, Hung-Yu Kao. DropAttack: A Random Dropped Weight Attack Adversarial Training for Natural Language Understanding. IEEE/ACM Transactions on Audio, Speech and Language Processing, 2023. (JCR Q1)

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 Transactions on Affective Computing, 2023. (JCR Q1)

Qin Bowen, Hui Binyuan, Wang Lihan,Min Yang, Li Binhua, Huang Fei, Si Luo, Jiang Qingshan, Li Yongbin. Schema dependency-enhanced curriculum pre-training for table semantic parsing. Knowledge-based Systems, 2023. (JCR Q1)

Bin Liang, Rongdi Yin, Jiachen Du, Lin Gui, Yulan He, Min Yang, Ruifeng Xu. Embedding Refinement Framework for Targeted Aspect-Based Sentiment Analysis. IEEE Transactions on Affective Computing, 2023. (JCR Q1)

Lei Zhang, Shupeng Wang, Fajie Yuan, Binzong Geng, Min Yang. Lifelong language learning with adaptive uncertainty regularization. Information Sciences, 2023. (JCR Q1)

Chenhe Dong, Yinghui LI, Haifan Gong, Miaoxin Chen, Junxin Li, Ying Shen, Min Yang. A Survey of Natural Language Generation. ACM Computing Surveys (CSUR), 2022.

Xiaoyan Zhao, Min Yang, Qiang Qu, Ruifeng Xu, Jieke Li. Exploring Privileged Features for Relation Extraction with Contrastive Student-Teacher Learning. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022. (CCF A)

Bin Liang, Xiang Li, Lin Gui, Yonghao Fu, Yulan He, Min Yang, Ruifeng Xu. Few-shot Aspect Category Sentiment Analysis via Meta-Learning. ACM Transactions on Information Systems (TOIS), 2022. (CCF A)

Guanghu Yuan, Fajie Yuan, Yudong Li, Beibei Kong, Shujie Li, Lei Chen, Min Yang, Chenyun YU, Bo Hu, Zang Li, Yu Xu, Xiaohu Qie. Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems. Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track, 2022. (CCF A)

Lihan Wang, Bowen Qin, Binyuan Hui, Bowen Li, Min Yang, Bailin Wang, Binhua Li, Jian Sun, Fei Huang, Luo Si, Yongbin Li. Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing. The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022. (CCF A)

Wanwei He, Yinpei Dai, Min Yang, Jian Sun, Fei Huang, Luo Si and Yongbin Li. Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022. (CCF A)

Yang Sun, Fajie Yuan, Min Yang, Alexandros Karatzoglou, Li Shen and Xiaoyan Zhao. Enhancing Top-N Item Recommendations by Peer Collaboration. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022. (CCF A)

Lei Zhang, Min Yang, Chengming Li and Ruifeng Xu. Image-Text Retrieval via Contrastive Learning with Auxiliary Generative Features and Support-set Regularization. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022. (CCF A)

Jing Xiong, Chengming Li, Min Yang, Xiping Hu and Bin Hu. Expression Syntax Information Bottleneck for Math Word Problems. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022. (CCF A)

Lei Chen, Jingtao Ding, Min Yang, Chengming Li, Chonggang Song and Lingling Yi. Item-Provider Co-learning for Sequential Recommendation. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022. (CCF A)

Shujie Li, Min Yang, Chengming Li and Ruifeng Xu. Dual Pseudo Supervision for Semi-Supervised Text Classification with a Reliable Teacher. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022. (CCF A)

Bin Liang, Chenwei Lou, Xiang Li, Min Yang, Lin Gui, Yulan He, Wenjie Pei, Ruifeng Xu. Multi-Modal Sarcasm Detection via Cross-Modal Graph Convolutional Network. The Annual Meeting of the Association for Computational Linguistics (ACL), 2022. (CCF A)

Bin Liang, Qinglin Zhu, Xiang Li, Min Yang, Lin Gui, Yulan He, Ruifeng Xu. JointCL: A Joint Contrastive Learning Framework for Zero-Shot Stance Detection. The Annual Meeting of the Association for Computational Linguistics (ACL), 2022. (CCF A)

Wanwei He, Yinpei Dai, Yinhe Zheng, Yuchuan Wu, Zheng Cao, Dermot Liu, Peng Jiang, Min Yang, Fei Huang, Luo Si, Jian Sun, Yongbin Li. GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-Supervised Learning and Explicit Policy Injection. The AAAI Conference on Artificial Intelligence (AAAI), 2022. (CCF A)

Ziyu Lyu, Yue Wu, Junjie Lai, Min Yang, Chengming Li, Wei Zhou. Knowledge Enhanced Graph Neural Networks for Explainable Recommendation. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022. (CCF A)

Bin Liang, Zixiao Chen, Lin Gui, Yulan He, Min Yang and Ruifeng Xu. Zero-Shot Stance Detection via Contrastive Learning. The Web Conference (WWW), 2022. (CCF A)

Zefeng Cai, Xiangyu Li, Binyuan Hui, Min Yang, Bowen Li, Binhua Li, Zheng Cao, weijie li, Fei Huang, Luo Si and Yongbin Li. STAR: SQL Guided Pre-Training for Context-dependent Text-to-SQL Parsing. The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022. (CCF B)

Yunshui Li, Junhao Liu, Min Yang and Chengming Li. Self-Distillation with Meta Learning for Knowledge Graph Completion. The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022. (CCF B)

Yang Sun, Bin Liang, Jianzhu Bao, Min Yang and Ruifeng Xu. Probing Structural Knowledge from Pre-trained Language Model for Argumentation Relation Classification. The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022. (CCF B)

Bingbing Wang, Bin Liang, Jiachen Du, Min Yang and Ruifeng Xu. SEMGraph: Incorporating Sentiment Knowledge and Eye Movement into Graph Model for Sentiment Analysis. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022. (CCF B)

Jianzhu Bao, Yuhang He, Yang Sun, Bin Liang, Jiachen Du, Bing Qin, Min Yang and Ruifeng Xu. A Generative Model for End-to-End Argument Mining with Reconstructed Positional Encoding and Constrained Pointer Mechanism. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022. (CCF B)

Yice Zhang, Yifan Yang, Yihui Li, Bin Liang, Shiwei Chen, Yixue Dang, Min Yang and Ruifeng Xu. Boundary-Driven Table-Filling for Aspect Sentiment Triplet Extraction. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022. (CCF B)

Zeyi Zhong, Min Yang, Ruifeng Xu. Reducing Spurious Correlations for Answer Selection by Feature Decorrelation and Language Debiasing. International Conference on Computational Linguistics (COLING), 2022. (CCF B)

Tianshu Yu, Min Yang, Xiaoyan Zhao. Dependency-aware Prototype Learning for Few-shot Relation Classification. International Conference on Computational Linguistics (COLING), 2022. (CCF B)

Wanwei He, Yinpei Dai, Binyuan Hui, Min Yang, Zheng Cao, Jianbo Dong, Fei Huang, Luo Si, Yongbin Li. SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for Task-Oriented Dialog Understanding. International Conference on Computational Linguistics (COLING), 2022. (CCF B)

Bowen Qin, Lihan Wang, Binyuan Hui, Bowen Li, Xiangpeng Wei, Binhua Li, Fei Huang, Luo Si, Min Yang, Yongbin Li. SUN: Exploring Intrinsic Uncertainties in Text-to-SQL Parsers. International Conference on Computational Linguistics (COLING), 2022. (CCF B)

Zijie Lin, Bin Liang, Yunfei Long, Yixue Dang, Min Yang, Min Zhang and Ruifeng Xu. Modeling Intra- and Inter-Modal Relations: Hierarchical Graph Contrastive Learning for Multimodal Sentiment Analysis. International Conference on Computational Linguistics (COLING), 2022. (CCF B)

Min Yang, Zhenwei Wang, Qiancheng Xu, Chengming Li, Ruifeng Xu. Leveraging hierarchical semantic‐emotional memory in emotional conversation generation. CAAI Transactions on Intelligence Technology, 2022.

Lei Chen, Fajie Yuan, Jiaxi Yang, Xiangnan He, Chengming Li, and Min Yang. User-specific Adaptive Fine-tuning for Cross-domain Recommendations. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021. (CCF A)

Bin Liang, Hang Su, Rongdi Yin, Lin Gui, Min Yang, Qin Zhao, Xiaoqi Yu and Ruifeng Xu. Beta Distribution Guided Aspect-aware Graph for Aspect Category Sentiment Analysis with Affective Knowledge. The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021. (CCF B)

Yi Chen, Haiyun Jiang, Lemao Liu, Shuming Shi, Chuang Fan, Min Yang and Ruifeng Xu. An Empirical Study on Multiple Information Sources for Zero-Shot Fine-Grained Entity Typing. The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021. (CCF B)

Jianzhu Bao, Bin Liang, Jingyi Sun, Yice Zhang, Min Yang and Ruifeng Xu. Argument Pair Extraction with Mutual Guidance and Inter-sentence Relation Graph. The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021. (CCF B)

Qianlong Wang, Zhiyuan Wen, Qin Zhao, Min Yang, Ruifeng Xu. Progressive Self-Training with Discriminator for Aspect Term Extraction. The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021. (CCF B)

Jieke Li, Min Yang, Chengming Li. CLC-RS: A Chinese Legal Case Retrieval System with Masked Language Ranking. ACM International Conference on Information and Knowledge Management (CIKM), 2021. (CCF B)

Bin Liang, Wangda Luo, Xiang Li, Lin Gui, Ruifeng Xu and Min Yang. Enhancing Aspect-Based Sentiment Analysis with Supervised Contrastive Learning. ACM International Conference on Information and Knowledge Management (CIKM), 2021. (CCF B)

Bin Liang, Chenwei Lou, Xiang Li, Lin Gui, Min Yang, Ruifeng Xu. Multi-Modal Sarcasm Detection with Interactive In-Modal and Cross-Modal Graphs. ACM Multimedia, 2021. (CCF A)

Junhao Liu, Zhen Hai, Min Yang and Lidong Bing. Multi-perspective Coherent Reasoning for Helpfulness Prediction of Multimodal Reviews. The Annual Meeting of the Association for Computational Linguistics (ACL), 2021. (CCF A)

Binzong Geng, Fajie Yuan, Qiancheng Xu, Ying Shen, Ruifeng Xu and Min Yang. Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking. The Annual Meeting of the Association for Computational Linguistics (ACL), 2021. (CCF A)

Guoxin Yu, Xiang Ao, Ling Luo, Min Yang, Xiaofei Sun, Jiwei Li and Qing He. Making Flexible Use of Subtasks: A Multiplex Interaction Network for Unified Aspect-based Sentiment Analysis. Findings of ACL, 2021.

Binzong Geng, Min Yang, Fajie Yuan, Shupeng Wang, Xiang Ao, Ruifeng Xu. Iterative Pruning with Adaptive Regularization for Lifelong Sentiment Classification. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021. (CCF A)

Jiachun Wang, Fajie Yuan, Jian Chen, Qingyao Wu, Min Yang, Yang Sun and Guoxiao Zhang. StackRec: Efficient Training of Very Deep Sequential Recommender Models by Iterative Stacking. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021. (CCF A)

Jianquan Li, Xiaokang Liu, Sheng Zhang, Min Yang, Ruifeng Xu, Fengqing Qin. Accelerating Neural Architecture Search for Text Classification with Knowledge Distillation and Earth Mover’s Distance. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021. (CCF A)

Lihan Wang, Min Yang, Chengming Li, Ying Shen and Ruifeng Xu. Abstractive Text Summarization with Hierarchical Multi-scale Abstraction Modeling and Dynamic Memory. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021. (CCF A)

Yang Deng, Yuexiang Xie, Yaliang Li, Yang Min, Wai Lam, Ying Shen. Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge. ACM Transactions on Information Systems (TOIS), 2021. (CCF A)

Bowen Qin, Min Yang, Lidong Bing, Qingshan Jiang, Chengming Li, Ruifeng Xu. Exploring Auxiliary Reasoning Tasks for Task-oriented Dialog Systems with Meta Cooperative Learning. The AAAI Conference on Artificial Intelligence (AAAI), 2021. (CCF A)

Chunpu Xu, Min Yang, Chengming Li, Ying Shen, Xiang Ao, Ruifeng Xu. Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational Reasoning. The AAAI Conference on Artificial Intelligence (AAAI), 2021. (CCF A)

Lei Chen, Fajie Yuan, Jiaxi Yang, Xiang Ao, Chengming Li, Min Yang. A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models. The AAAI Conference on Artificial Intelligence (AAAI), 2021. (CCF A)

Mingzhe Li, Xiuying Chen, Min Yang, Shen Gao, Dongyan Zhao, Rui Yan. The Style-Content Duality of Attractiveness: Learning to Write Eye-Catching Headlines via Disentanglement. The AAAI Conference on Artificial Intelligence (AAAI), 2021. (CCF A)

Bin Liang, Yonghao Fu, Lin Gui, Min Yang, Jiachen Du, Yulan He and Ruifeng Xu. Target-adaptive Graph for Cross-target Stance Detection. The Web Conference (WWW), 2021. (CCF A)

Chi Xu, Hao Feng, Guoxin Yu, Min Yang, Xiting Wang, Xiang Ao. Discovering Protagonist of Sentiment with Aspect Reconstructed Capsule Network. The International Conference on Database Systems for Advanced Applications (DASFAA), 2021. (CCF B)

Jianquan Li, Xiaokang Liu, Honghong Zhao, Ruifeng Xu, Min Yang, Yaohong Jin. BERT-EMD: Many-to-Many Layer Mapping for BERT Compression with Earth Mover’s Distance. The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020. (CCF B)

Wanwei He, Min Yang, Rui Yan, Chengming Li, Ying Shen, Ruifeng Xu. Amalgamating Knowledge from Two Teachers for Task-oriented Dialogue System with Adversarial Training. The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020. (CCF B)

Junhao Liu, Linjun Shou, Jian Pei, Ming Gong, Min Yang, Daxin Jiang. Cross-lingual Machine Reading Comprehension with Language Branch Knowledge Distillation. The 28th International Conference on Computational Linguistics (COLING), 2020. (CCF B)

Jian Wang, Junhao Liu, Wei Bi, Xiaojiang Liu, Kejing He, Ruifeng Xu, Min Yang. Dual Dynamic Memory Network for End-to-End Multi-turn Task-oriented Dialog Systems. The 28th International Conference on Computational Linguistics (COLING), 2020. (CCF B)

Chunpu Xu, Yu Li, Chengming Li, Xiang Ao, Min Yang, Jinwen Tian. Interactive Key-Value Memory-augmented Attention for ImageParagraph Captioning. The 28th International Conference on Computational Linguistics (COLING), 2020. (CCF B)

Yang Sun, Fajie Yuan, Min Yang, Guoao Wei, Zhou Zhao and Duo Liu. A Generic Network Compression Framework for Sequential Recommender Systems. The 43th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020. (CCF A)

Xiaoyan Zhao, Min Yang, Qiang Qu and Yang Sun. Improving Neural Chinese Word Segmentation with Lexicon-enhanced Adaptive Attention. The 43th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020. (CCF A)

Yang Deng, Wenxuan Zhang, Yaliang Li, Min Yang, Wai Lam and Ying Shen. Bridging Hierarchical and Sequential Context Modeling for Question-driven Extractive Answer Summarization. The 43th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020. (CCF A)

Min Yang, Ying Shen, Xiaojun Chen and Chengming Li. Multi-source Domain Adaptation for Sentiment Classification with Granger Causal Inference. The 43th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020. (CCF A)

Weiyi Huang, Jiahao Jiang, Qiang Qu, Min Yang. AILA: A Question Answering System in the Legal Domain. International Joint Conference on Artificial Intelligence (IJCAI), 2020. (Demo, CCF A)

Bowen Zhang, Min Yang, Xutao Li, Yunming Ye, Xiaofei Xu and Kuai Dai. Enhancing Cross-target Stance Detection with Transferable Semantic-Emotion Knowledge. The Annual Meeting of the Association for Computational Linguistics (ACL), 2020. (CCF A)

Chuang Fan, Chaofa Yuan, Jiachen Du, Lin Gui, Min Yang, Ruifeng Xu. Transition-based Directed Graph Construction for Emotion-Cause Pair Extraction. The Annual Meeting of the Association for Computational Linguistics (ACL), 2020. (CCF A)

Min Yang, Chengming Li, Fei Sun, Zhou Zhao, Ying Shen, Chenglin Wu. Be Relevant, Non-redundant, Timely: Deep Reinforcement Learning for Real-time Event Summarization. The AAAI Conference on Artificial Intelligence (AAAI), 2020. (CCF A)

Junhao Liu, Kai Wang, Chunpu Xu, Zhou Zhao, Ruifeng Xu, Ying Shen, Min Yang. Interactive Dual Generative Adversarial Networks for Image Captioning. The AAAI Conference on Artificial Intelligence (AAAI), 2020. (CCF A)

Jian Wang, Junhao Liu, Wei Bi, Xiaojiang Liu, Kejing He, Ruifeng Xu, Min Yang. Improving Knowledge-aware Dialogue Generation via Knowledge Base Question Answering. The AAAI Conference on Artificial Intelligence (AAAI), 2020. (CCF A)

Yuexiang Xie, Ying Shen, Yaliang Li, Min Yang, Kai Lei. Attentive User-engaged Adversarial Neural Network for Community Question Answering. The AAAI Conference on Artificial Intelligence (AAAI), 2020. (CCF A)

Yang Deng, Wai Lam, Yuexiang Xie, Daoyuan Chen, Yaliang Li, Min Yang, Ying Shen. Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering. The AAAI Conference on Artificial Intelligence (AAAI), 2020. (CCF A)

Shuwen Xiao, Zhou Zhao, Zijian Zhang, Xiaohui Yan, Min Yang. Convolutional Hierarchical Attention Network for Query-Focused Video Summarization. The AAAI Conference on Artificial Intelligence (AAAI), 2020. (CCF A)

Ying Shen, Ning Ding, Hai-Tao Zheng, Yaliang Li, Min Yang. Modeling Relation Paths for Knowledge Graph Completion, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020. (CCF A)

Qingnan Jiang, Lei Chen, Xiang Ao, Ruifeng Xu, Min Yang. A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis. The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019. (CCF B)

Wei Zhao, Haiyun Peng, Steffen Eger, Erik Cambria, Min Yang. Towards Scalable and Reliable Capsule Networks and its NLP Applications. The Annual Meeting of the Association for Computational Linguistics (ACL), 2019. (CCF A)

Zhou Zhao, H.J. Pan, C.J. Fan, Deng Cai, Min Yang, Abstractive Meeting Summarization via Hierarchical Adaptive Segmental Network Learning, The 28th International World Wide Web Conference (WWW), 2019. (CCF A)

Min Yang, Qiang Qu, Wenting Tu, Ying Shen, Zhou Zhao, Xiaojun Chen. Exploring Human-Like Reading Strategy for Abstractive Text Summarization, The AAAI Conference on Artificial Intelligence (AAAI), 2019. (CCF A)

Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Nan Du, Wei Fan, Kai Lei, Ying Shen. Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering, The AAAI Conference on Artificial Intelligence (AAAI), 2019. (CCF A)

Zeyang Lei, Yujiu Yang, Min Yang, Wei Zhao, Jun Guo, Yi Liu. A Human-like Semantic Cognition Network for Aspect-level Sentiment Classification, The AAAI Conference on Artificial Intelligence (AAAI), 2019. (CCF A)

Wei Zhao, Benyou Wang, Jianbo Ye, Yongqiang Gao, Min Yang, Xiaojun Chen. PLASTIC: Prioritize Long and Short-term Information in Top-n Recommendation using Adversarial Training. International Joint Conference on Artificial Intelligence (IJCAI), 2018. (CCF A)

Wei Zhao, Benyou Wang, Jianbo Ye, Min Yang, Zhou Zhao, Ruotian Luo, Yu Qiao. A Multi-task Learning Approach for Image Captioning. International Joint Conference on Artificial Intelligence (IJCAI), 2018. (CCF A)

Yao Wan, Zhou Zhao, Min Yang, Guandong Xu, Haochao Ying, Jian Wu, Philip S. Yu. Improving Automatic Source Code Summarization via Deep Reinforcement Learning. The 33rd IEEE/ACM International Conference on Automated Software Engineering (ASE), 2018. (CCF A)

Zhao Zhou, Lingtao Meng, Jun Xiao, Min Yang, Fei Wu, Deng Cai, Xiaofei He, Yueting Zhuang. Attentional Image Retweet Modeling via Multi-Faceted Ranking Network Learning. International Joint Conference on Artificial Intelligence (IJCAI), 2018. (CCF A)

Xiaojun Chen, Weijun Hong, Feiping Nie, Dan He, Min Yang, Joshua Z. Huang. Spectral Clustering of Large-scale Data by Directly Solving Normalized Cut, The 24rd SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2018. (CCF A)

Zeyang Lei, Yujiu Yang, Min Yang, Yi Liu. A Multi-sentiment-resource Enhanced Attention Network for Sentiment Classification. The 56nd Annual Meeting of the Association for Computational Linguistics (ACL), 2018. (CCF A)

Ying Shen, Daoyuan Chen, Min Yang, Yaliang Li, Nan Du, Kai Lei. Ontology Evaluation with Path-based Text-aware Entropy Computation. The 41th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2018. (CCF A)

Ying Shen, Yang Deng, Min Yang, Yaliang Li, Nan Du, Wei Fan, Kai Lei. Knowledge-aware Attentive Neural Network for Ranking Question Answer Pairs. The 41th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2018. (CCF A)

Zeyang Lei, Yujiu Yang, Min Yang. SAAN: A Sentiment-Aware Attention Network for Sentiment Analysis. The 41th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2018. (CCF A)

Yang Deng, Ying Shen, Min Yang, Yaliang Li, Nan Du, Wei Fan, Kai Lei. Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge, The 27th International Conference on Computational Linguistics (COLING), 2018. (CCF B)

Kai Lei, Daoyuan Chen, Yaliang Li, Nan Du, Min Yang, Wei Fan, Ying Shen. Cooperative Denoising for Distantly Supervised Relation Extraction, The 27th International Conference on Computational Linguistics (COLING, Area Chair Favorites), 2018. (CCF B)

Wei Zhao, Jianbo Ye, Min Yang, Zeyang Lei, Soufei Zhang, Zhou Zhao. Investigating Capsule Networks with Dynamic Routing for Text Classification. International Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018. (CCF B)

Min Yang, Zhou Zhao, Wei Zhao, X. Chen, Jia Zhu and L. Zhou, Personalized Response Generation via Domain Adaptation, The 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2017. (CCF A)

Wei Zhao, Wei Xu, Min Yang, Jianbo Ye, Zhou Zhao and Yu Qiao, Dual learning for Cross-domain Image Captioning, International Conference on Information and Knowledge Management (CIKM), 2017. (CCF B)

Xiaojun Chen, Yixiang Fang, Min Yang, Feiping Nie, Zhou Zhao, Zhexue Huang, PurTreeClust: A Clustering Algorithm for Customer Segmentation from Massive Customer Transaction Data, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2017, to appear. (CCF A)

Zhou Zhao, Q. Yang, H. Lu, Min Yang, Jun Xiao, Fei Wu and Yueting Zhuang, Learning Max-Margin GeoSocial Multimedia Network Representations for Point-of-Interest Suggesiton, The 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2017. (CCF A)

Xiaojun Chen, Feiping Nie, Zhexue Huang, Min Yang, Directly Minimizing Normalized Cut for Large Scale Data, International Joint Conference on Artificial Intelligence (IJCAI), 2017. (CCF A)

Min Yang, Jincheng Mei, Fei Xu, Wenting Tu, Ziyu Lu, Discovering Author Interest Evolution in Topic Modeling, The 39th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2016. (CCF A)

Min Yang, Tianyi Cui, Wenting Tu, Order-sensitive and Semantic-aware Topic Modeling, The Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI), 2015. (CCF A)

Min Yang, Baolin Peng, Zheng Chen, Dingju Zhu, Kam-Pui Chow, A Topic Model for Building Fine-grained Domain-specific Emotion Lexicon, The 52nd Annual Meeting of the Association for Computational Linguistics (ACL), 2014. (CCF A)