| 2026 | AAAI | MemGuide: Intent-Driven Memory Selection for Goal-Oriented Multi-Session LLM Agents. | Yiming Du, Bingbing Wang, Yang He, Bin Liang, Baojun Wang, Zhongyang Li, Lin Gui, Jeff Z. Pan, Ruifeng Xu, Kam-Fai Wong |
| 2026 | AAAI | Causal-ERC: A Multimodal Framework with Causal Prompting for Emotion Recognition in Conversations with Large Language Models. | Ran Jing, Geng Tu, Yice Zhang, Ruifeng Xu |
| 2026 | AAAI | Consensus-Driven Multi-Agent Cognitive Reasoning for Enhancing the Emotional Intelligence of Large Language Models. | Geng Tu, Dingming Li, Jun Huang, Ruifeng Xu |
| 2026 | ACL | ArgGenBench: Benchmarking the Complex Controlled Argument Generation Capability of Large Language Models. | Bojun Jin, Jianzhu Bao, Yang Sun, Yice Zhang, Ruifeng Xu |
| 2026 | ACL | AEQ-Bench: Measuring Empathy of Omni-Modal Large Models. | Xuan Luo, Lewei Yao, Lanqing Hong, Kai Chen, Dehua Tao, Daxin Tan, Yukun Deng, Ruifeng Xu, Jing Li |
| 2026 | ACL | MIND Your Reasoning: A Meta-Cognitive Intuitive-Reflective Network for Dual-Reasoning in Multimodal Stance Detection. | Bingbing Wang, Zhengda Jin, Bin Liang, Wenjie Li, Jing Li, Ruifeng Xu, Min Zhang |
| 2026 | ACL | SOAPTriage: SOAP-Guided Multi-View Clinical Text Modeling Framework for Automated ESI Prediction. | Enming Wang, Jianlei Wang, Xueping Peng, Hongjiao Guan, Yinglong Wang, Sibo Wei, Jianbin Guo, Ruifeng Xu, Wenpeng Lu |
| 2026 | EACL | A Simple and Efficient Learning-Style Prompting for LLM Jailbreaking. | Xuan Luo, Yue Wang, Zefeng He, Geng Tu, Jing Li, Ruifeng Xu |
| 2026 | SIGIR | Dynamic Memory Forest: Constructing and Tracing Conversational Trajectories for Long-Term Conversation. | Cai Ke, Bin Liang, Xin Liu, Yue Yu, Hui Wang, Ruifeng Xu |
| 2026 | SIGIR | A Graph-Enhanced MLLM for Hierarchical Multimodal Emotion Understanding and Support in Conversations. | Geng Tu, Taiyu Niu, Xi Zeng, Ruifeng Xu, Min Zhang |
| 2026 | SIGIR | SocialDropout: Dynamic Agent Dropout for Social Simulation. | Huajie Wang, Geng Tu, Xi Zeng, Ruifeng Xu, Min Zhang |
| 2026 | SIGIR | Negotiating the Punchline: Contextual Meme Understanding via Discrete Semantic Energy Minimization. | Bingbing Wang, Zihan Wang, Zhengda Jin, Jing Li, Ruifeng Xu, Min Zhang |
| 2026 | SIGIR | Towards Unified Affective Reasoning via In-Context Reinforcement Learning. | Feng Xiong, Jun Wang, Ruifeng Xu |
| 2025 | AAAI | Empowering Self-Learning of LLMs: Inner Knowledge Explicitation as a Catalyst. | Shijue Huang, Wanjun Zhong, Deng Cai, Fanqi Wan, Chengyi Wang, Mingxuan Wang, Mu Qiao, Ruifeng Xu |
| 2025 | AAAI | BeyondGender: A Multifaceted Bilingual Dataset for Practical Sexism Detection. | Xuan Luo, Li Yang, Han Zhang, Geng Tu, Qianlong Wang, Keyang Ding, Chuang Fan, Jing Li, Ruifeng Xu |
| 2025 | AAAI | Training on the Benchmark Is Not All You Need. | Shiwen Ni, Xiangtao Kong, Chengming Li, Xiping Hu, Ruifeng Xu, Jia Zhu, Min Yang |
| 2025 | AAAI | A New Formula for Sticker Retrieval: Reply with Stickers in Multi-Modal and Multi-Session Conversation. | Bingbing Wang, Yiming Du, Bin Liang, Zhixin Bai, Min Yang, Baojun Wang, Kam-Fai Wong, Ruifeng Xu |
| 2025 | AAAI | Correcting Large Language Model Behavior via Influence Function. | Han Zhang, Zhuo Zhang, Yi Zhang, Yuanzhao Zhai, Hanyang Peng, Yu Lei, Yue Yu, Hui Wang, Bin Liang, Lin Gui, Ruifeng Xu |
| 2025 | ACL | A Multi-persona Framework for Argument Quality Assessment. | Bojun Jin, Jianzhu Bao, Yufang Hou, Yang Sun, Yice Zhang, Huajie Wang, Bin Liang, Ruifeng Xu |
| 2025 | ACL | Learning First-Order Logic Rules for Argumentation Mining. | Yang Sun, Guanrong Chen, Hamid Alinejad-Rokny, Jianzhu Bao, Yuqi Huang, Bin Liang, Kam-Fai Wong, Min Yang, Ruifeng Xu |
| 2025 | ACL | Error Comparison Optimization for Large Language Models on Aspect-Based Sentiment Analysis. | Qianlong Wang, Keyang Ding, Hengxin Gao, Hui Wang, Ruifeng Xu |
| 2025 | ACL | DS²-ABSA: Dual-Stream Data Synthesis with Label Refinement for Few-Shot Aspect-Based Sentiment Analysis. | Hongling Xu, Yice Zhang, Qianlong Wang, Ruifeng Xu |
| 2025 | ACL | COPR: Continual Human Preference Learning via Optimal Policy Regularization. | Han Zhang, Lin Gui, Yu Lei, Yuanzhao Zhai, Yehong Zhang, Zhuo Zhang, Yulan He, Hui Wang, Yue Yu, Kam-Fai Wong, Bin Liang, Ruifeng Xu |
| 2025 | ACL | CoreEval: Automatically Building Contamination-Resilient Datasets with Real-World Knowledge toward Reliable LLM Evaluation. | Jingqian Zhao, Bingbing Wang, Geng Tu, Yice Zhang, Qianlong Wang, Bin Liang, Jing Li, Ruifeng Xu |
| 2025 | EMNLP | Exploring Quality and Diversity in Synthetic Data Generation for Argument Mining. | Jianzhu Bao, Yuqi Huang, Yang Sun, Wenya Wang, Yice Zhang, Bojun Jin, Ruifeng Xu |
| 2025 | EMNLP | Flexibly Utilize Memory for Long-Term Conversation via a Fragment-then-Compose Framework. | Cai Ke, Yiming Du, Bin Liang, Yifan Xiang, Lin Gui, Zhongyang Li, Baojun Wang, Yue Yu, Hui Wang, Kam-Fai Wong, Ruifeng Xu |
| 2025 | EMNLP | Large Language Models as Reader for Bias Detection. | Xuan Luo, Jing Li, Zhong Wenzhong, Geng Tu, Ruifeng Xu |
| 2025 | EMNLP | Comprehensive and Efficient Distillation for Lightweight Sentiment Analysis Models. | Guangyu Xie, Yice Zhang, Jianzhu Bao, Qianlong Wang, Yang Sun, Bingbing Wang, Ruifeng Xu |
| 2025 | EMNLP | Targeted Distillation for Sentiment Analysis. | Yice Zhang, Guangyu Xie, Jingjie Lin, Jianzhu Bao, Qianlong Wang, Xi Zeng, Ruifeng Xu |
| 2025 | EMNLP | Sparse Activation Editing for Reliable Instruction Following in Narratives. | Runcong Zhao, Chengyu Cao, Qinglin Zhu, Xiucheng Lyu, Shun Shao, Lin Gui, Ruifeng Xu, Yulan He |
| 2025 | ICASSP | Bootstrapping LLM-based Fact-checking via Iterative Rationalization Finetuning. | Xiucheng Lyu, Chengyu Cao, Mingwei Sun, Bin Liang, Liang Yao, Ruifeng Xu |
| 2025 | ICASSP | Enhancing Emotion Reasoning for Image Multi-Emotion Prediction. | Bingbing Wang, Geng Tu, Bin Liang, Zhixin Bai, Min Yang, Xi Zeng, Liang Yao, Ruifeng Xu |
| 2025 | ICLR | Centrality-guided Pre-training for Graph. | Bin Liang, Shiwei Chen, Lin Gui, Hui Wang, Yue Yu, Ruifeng Xu, Kam-Fai Wong |
| 2025 | ICONIP | NDRL: Cotton Irrigation and Nitrogen Application with Nested Dual-Agent Reinforcement Learning. | Ruifeng Xu, Liang He |
| 2025 | IJCNN | AGDAformer: Agent-Guidance Dual Attention Transformer for Climate-Aware Crop Yield Prediction. | Zhongyan Yi, Zhihua Fang, Ruifeng Xu, Jintai Wang, Liang He |
| 2025 | NAACL | Mitigating Biases of Large Language Models in Stance Detection with Counterfactual Augmented Calibration. | Ang Li, Jingqian Zhao, Bin Liang, Lin Gui, Hui Wang, Xi Zeng, Xingwei Liang, Kam-Fai Wong, Ruifeng Xu |
| 2025 | WWW | SupportPlay: A Multi-Agent Role-Playing System for Personalized and Sustained Multimodal Emotional Support Conversation. | Geng Tu, Bingbing Wang, Erik Cambria, Wenjie Li, Ruifeng Xu |
| 2025 | SIGIR | Bridging Time Gaps: Temporal Logic Relations for Enhancing Temporal Reasoning in Large Language Models. | Xintong Song, Bin Liang, Yang Sun, Chenhua Zhang, Bingbing Wang, Ruifeng Xu |
| 2025 | SIGIR | Meta-Learning for Incomplete Multimodal Sentiment Analysis. | Geng Tu, Tianhao Wu, Xuan Luo, Xi Zeng, Wenjie Li, Ruifeng Xu |
| 2025 | SIGIR | More Than Just A Conversation: A Multi-agent Reasoning Graph Knowledge Distillation for Conversational Stance Detection. | Bingbing Wang, Zhixin Bai, Qianlong Wang, Jingjie Lin, Min Yang, Xi Zeng, Ruifeng Xu |
| 2024 | AAAI | Counterfactual-Enhanced Information Bottleneck for Aspect-Based Sentiment Analysis. | Mingshan Chang, Min Yang, Qingshan Jiang, Ruifeng Xu |
| 2024 | AAAI | Enhancing Multi-Label Classification via Dynamic Label-Order Learning. | Jiangnan Li, Yice Zhang, Shiwei Chen, Ruifeng Xu |
| 2024 | AAAI | Adaptive Graph Learning for Multimodal Conversational Emotion Detection. | Geng Tu, Tian Xie, Bin Liang, Hongpeng Wang, Ruifeng Xu |
| 2024 | ACL | WebCiteS: Attributed Query-Focused Summarization on Chinese Web Search Results with Citations. | Haolin Deng, Chang Wang, Xin Li, Dezhang Yuan, Junlang Zhan, Tianhua Zhou, Jin Ma, Jun Gao, Ruifeng Xu |
| 2024 | ACL | Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training. | Feiteng Fang, Yuelin Bai, Shiwen Ni, Min Yang, Xiaojun Chen, Ruifeng Xu |
| 2024 | ACL | Decomposing Argumentative Essay Generation via Dialectical Planning of Complex Reasoning. | Yuhang He, Jianzhu Bao, Yang Sun, Bin Liang, Min Yang, Bing Qin, Ruifeng Xu |
| 2024 | ACL | E-EVAL: A Comprehensive Chinese K-12 Education Evaluation Benchmark for Large Language Models. | Jinchang Hou, Chang Ao, Haihong Wu, Xiangtao Kong, Zhigang Zheng, Daijia Tang, Chengming Li, Xiping Hu, Ruifeng Xu, Shiwen Ni, Min Yang |
| 2024 | ACL | Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios. | Shijue Huang, Wanjun Zhong, Jianqiao Lu, Qi Zhu, Jiahui Gao, Weiwen Liu, Yutai Hou, Xingshan Zeng, Yasheng Wang, Lifeng Shang, Xin Jiang, Ruifeng Xu, Qun Liu |
| 2024 | ACL | Multi-modal Stance Detection: New Datasets and Model. | Bin Liang, Ang Li, Jingqian Zhao, Lin Gui, Min Yang, Yue Yu, Kam-Fai Wong, Ruifeng Xu |
| 2024 | ACL | Forgetting before Learning: Utilizing Parametric Arithmetic for Knowledge Updating in Large Language Models. | Shiwen Ni, Dingwei Chen, Chengming Li, Xiping Hu, Ruifeng Xu, Min Yang |
| 2024 | ACL | Discourse Structure-Aware Prefix for Generation-Based End-to-End Argumentation Mining. | Yang Sun, Guanrong Chen, Caihua Yang, Jianzhu Bao, Bin Liang, Xi Zeng, Min Yang, Ruifeng Xu |
| 2024 | ACL | PITA: Prompting Task Interaction for Argumentation Mining. | Yang Sun, Muyi Wang, Jianzhu Bao, Bin Liang, Xiaoyan Zhao, Caihua Yang, Min Yang, Ruifeng Xu |
| 2024 | ACL | NUMCoT: Numerals and Units of Measurement in Chain-of-Thought Reasoning using Large Language Models. | Ancheng Xu, Minghuan Tan, Lei Wang, Min Yang, Ruifeng Xu |
| 2024 | ACL | Improving In-Context Learning with Prediction Feedback for Sentiment Analysis. | Hongling Xu, Qianlong Wang, Yice Zhang, Min Yang, Xi Zeng, Bing Qin, Ruifeng Xu |
| 2024 | ACL | Self-Training with Pseudo-Label Scorer for Aspect Sentiment Quad Prediction. | Yice Zhang, Jie Zeng, Weiming Hu, Ziyi Wang, Shiwei Chen, Ruifeng Xu |
| 2024 | COLING | CLHA: A Simple Yet Effective Contrastive Learning Framework for Human Alignment. | Feiteng Fang, Liang Zhu, Xi Feng, Jinchang Hou, Qixuan Zhao, Chengming Li, Xiping Hu, Ruifeng Xu, Min Yang |
| 2024 | COLING | TP-Link: Fine-grained Pre-Training for Text-to-SQL Parsing with Linking Information. | Ziqiang Liu, Shujie Li, Zefeng Cai, Xiangyu Li, Yunshui Li, Chengming Li, Xiping Hu, Ruifeng Xu, Min Yang |
| 2024 | COLING | MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Property. | Shiwen Ni, Minghuan Tan, Yuelin Bai, Fuqiang Niu, Min Yang, Bowen Zhang, Ruifeng Xu, Xiaojun Chen, Chengming Li, Xiping Hu |
| 2024 | COLING | Layer-wise Regularized Dropout for Neural Language Models. | Shiwen Ni, Min Yang, Ruifeng Xu, Chengming Li, Xiping Hu |
| 2024 | COLING | In-Context Example Retrieval from Multi-Perspectives for Few-Shot Aspect-Based Sentiment Analysis. | Qianlong Wang, Hongling Xu, Keyang Ding, Bin Liang, Ruifeng Xu |
| 2024 | EMNLP | BC-Prover: Backward Chaining Prover for Formal Theorem Proving. | Yuhang He, Jihai Zhang, Jianzhu Bao, Fangquan Lin, Cheng Yang, Bing Qin, Ruifeng Xu, Wotao Yin |
| 2024 | EMNLP | Multiple Knowledge-Enhanced Interactive Graph Network for Multimodal Conversational Emotion Recognition. | Geng Tu, Jun Wang, Zhenyu Li, Shiwei Chen, Bin Liang, Xi Zeng, Min Yang, Ruifeng Xu |
| 2024 | ICASSP | SDIF-DA: A Shallow-to-Deep Interaction Framework with Data Augmentation for Multi-Modal Intent Detection. | Shijue Huang, Libo Qin, Bingbing Wang, Geng Tu, Ruifeng Xu |
| 2024 | ICASSP | Lightweight Multi-Axial Transformer with Frequency Prompt for Single Channel Speech Enhancement. | Xingwei Liang, Zehua Zhang, Mingjiang Wang, Ruifeng Xu |
| 2024 | ICASSP | Enhancing Argumentative Relation Classification by Multi-Granularity Retrieval and Heterogeneous Graph Reasoning. | Caihua Yang, Jianzhu Bao, Bin Liang, Ruifeng Xu |
| 2024 | ICASSP | Enhancing Generative Aspect-Based Sentiment Analysis with Relation-Level Supervision and Prompt. | Yifan Yang, Yice Zhang, Ruifeng Xu |
| 2024 | ICASSP | Hybrid Attention Time-Frequency Analysis Network for Single-Channel Speech Enhancement. | Zehua Zhang, Xingwei Liang, Ruifeng Xu, Mingjiang Wang |
| 2024 | ICLR | CPPO: Continual Learning for Reinforcement Learning with Human Feedback. | Han Zhang, Yu Lei, Lin Gui, Min Yang, Yulan He, Hui Wang, Ruifeng Xu |
| 2024 | NAACL | Enhancing Large Language Models Against Inductive Instructions with Dual-critique Prompting. | Rui Wang, Hongru Wang, Fei Mi, Boyang Xue, Yi Chen, Kam-Fai Wong, Ruifeng Xu |
| 2024 | NAACL | Role Prompting Guided Domain Adaptation with General Capability Preserve for Large Language Models. | Rui Wang, Fei Mi, Yi Chen, Boyang Xue, Hongru Wang, Qi Zhu, Kam-Fai Wong, Ruifeng Xu |
| 2024 | SIGIR | A Persona-Infused Cross-Task Graph Network for Multimodal Emotion Recognition with Emotion Shift Detection in Conversations. | Geng Tu, Feng Xiong, Bin Liang, Ruifeng Xu |
| 2024 | SIGIR | Improving In-Context Learning via Sequentially Selection and Preference Alignment for Few-Shot Aspect-Based Sentiment Analysis. | Qianlong Wang, Keyang Ding, Xuan Luo, Ruifeng Xu |
| 2023 | AAAI | Effective Open Intent Classification with K-center Contrastive Learning and Adjustable Decision Boundary. | Xiaokang Liu, Jianquan Li, Jingjing Mu, Min Yang, Ruifeng Xu, Benyou Wang |
| 2023 | AAAI | Balanced Meta Learning and Diverse Sampling for Lifelong Task-Oriented Dialogue Systems. | Qiancheng Xu, Min Yang, Ruifeng Xu |
| 2023 | AAAI | A Generative Approach for Script Event Prediction via Contrastive Fine-Tuning. | Fangqi Zhu, Jun Gao, Changlong Yu, Wei Wang, Chen Xu, Xin Mu, Min Yang, Ruifeng Xu |
| 2023 | ACL | MMSD2.0: Towards a Reliable Multi-modal Sarcasm Detection System. | Libo Qin, Shijue Huang, Qiguang Chen, Chenran Cai, Yudi Zhang, Bin Liang, Wanxiang Che, Ruifeng Xu |
| 2023 | ACL | A Synthetic Data Generation Framework for Grounded Dialogues. | Jianzhu Bao, Rui Wang, Yasheng Wang, Aixin Sun, Yitong Li, Fei Mi, Ruifeng Xu |
| 2023 | ACL | Probing Graph Decomposition for Argument Pair Extraction. | Yang Sun, Bin Liang, Jianzhu Bao, Yice Zhang, Geng Tu, Min Yang, Ruifeng Xu |
| 2023 | ACL | Focal Training and Tagger Decouple for Grammatical Error Correction. | Minghuan Tan, Min Yang, Ruifeng Xu |
| 2023 | ACL | Context or Knowledge is Not Always Necessary: A Contrastive Learning Framework for Emotion Recognition in Conversations. | Geng Tu, Bin Liang, Ruibin Mao, Min Yang, Ruifeng Xu |
| 2023 | ACL | Retrieval-free Knowledge Injection through Multi-Document Traversal for Dialogue Models. | Rui Wang, Jianzhu Bao, Fei Mi, Yi Chen, Hongru Wang, Yasheng Wang, Yitong Li, Lifeng Shang, Kam-Fai Wong, Ruifeng Xu |
| 2023 | ACL | An Empirical Study of Sentiment-Enhanced Pre-Training for Aspect-Based Sentiment Analysis. | Yice Zhang, Yifan Yang, Bin Liang, Shiwei Chen, Bing Qin, Ruifeng Xu |
| 2023 | ACL | A Diffusion Model for Event Skeleton Generation. | Fangqi Zhu, Lin Zhang, Jun Gao, Bing Qin, Ruifeng Xu, Haiqin Yang |
| 2023 | DASFAA | SRACas: A Social Role-Aware Graph Neural Network-Based Model for Popularity Prediction of Information Cascades. | Zhenhua Huang, Yuhang He, Shaojie Wang, Zhenyu Wang, Ruifeng Xu, Sharad Merothra |
| 2023 | ECAI | Do Topic and Causal Consistency Affect Emotion Cognition? A Graph Interactive Network for Conversational Emotion Detection. | Geng Tu, Bin Liang, Xiucheng Lyu, Lin Gui, Ruifeng Xu |
| 2023 | EMNLP | Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs. | Hongru Wang, Rui Wang, Fei Mi, Yang Deng, Zezhong Wang, Bin Liang, Ruifeng Xu, Kam-Fai Wong |
| 2023 | EMNLP | In-context Learning for Few-shot Multimodal Named Entity Recognition. | Chenran Cai, Qianlong Wang, Bin Liang, Bing Qin, Min Yang, Kam-Fai Wong, Ruifeng Xu |
| 2023 | EMNLP | Stance Detection on Social Media with Background Knowledge. | Ang Li, Bin Liang, Jingqian Zhao, Bowen Zhang, Min Yang, Ruifeng Xu |
| 2023 | EMNLP | Set Learning for Generative Information Extraction. | Jiangnan Li, Yice Zhang, Bin Liang, Kam-Fai Wong, Ruifeng Xu |
| 2023 | EMNLP | A Training-Free Debiasing Framework with Counterfactual Reasoning for Conversational Emotion Detection. | Geng Tu, Ran Jing, Bin Liang, Min Yang, Kam-Fai Wong, Ruifeng Xu |
| 2023 | EMNLP | An Empirical Study on Multiple Knowledge from ChatGPT for Emotion Recognition in Conversations. | Geng Tu, Bin Liang, Bing Qin, Kam-Fai Wong, Ruifeng Xu |
| 2023 | EMNLP | Reducing Spurious Correlations in Aspect-based Sentiment Analysis with Explanation from Large Language Models. | Qianlong Wang, Keyang Ding, Bin Liang, Min Yang, Ruifeng Xu |
| 2023 | EMNLP | Target-to-Source Augmentation for Aspect Sentiment Triplet Extraction. | Yice Zhang, Yifan Yang, Meng Li, Bin Liang, Shiwei Chen, Ruifeng Xu |
| 2023 | EMNLP | Learning to Describe for Predicting Zero-shot Drug-Drug Interactions. | Fangqi Zhu, Yongqi Zhang, Lei Chen, Bing Qin, Ruifeng Xu |
| 2023 | IJCNLP | Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical Study. | Yi Chen, Rui Wang, Haiyun Jiang, Shuming Shi, Ruifeng Xu |
| 2023 | SIGIR | Adversarial Meta Prompt Tuning for Open Compound Domain Adaptive Intent Detection. | Feiteng Fang, Min Yang, Chengming Li, Ruifeng Xu |
| 2023 | SIGIR | Reducing Spurious Correlations for Relation Extraction by Feature Decomposition and Semantic Augmentation. | Tianshu Yu, Min Yang, Chengming Li, Ruifeng Xu |
| 2022 | ACL | Learning from Sibling Mentions with Scalable Graph Inference in Fine-Grained Entity Typing. | Yi Chen, Jiayang Cheng, Haiyun Jiang, Lemao Liu, Haisong Zhang, Shuming Shi, Ruifeng Xu |
| 2022 | ACL | Have my arguments been replied to? Argument Pair Extraction as Machine Reading Comprehension. | Jianzhu Bao, Jingyi Sun, Qinglin Zhu, Ruifeng Xu |
| 2022 | ACL | Improving Event Representation via Simultaneous Weakly Supervised Contrastive Learning and Clustering. | Jun Gao, Wei Wang, Changlong Yu, Huan Zhao, Wilfred Ng, Ruifeng Xu |
| 2022 | ACL | Multi-Modal Sarcasm Detection via Cross-Modal Graph Convolutional Network. | Bin Liang, Chenwei Lou, Xiang Li, Min Yang, Lin Gui, Yulan He, Wenjie Pei, Ruifeng Xu |
| 2022 | ACL | JointCL: A Joint Contrastive Learning Framework for Zero-Shot Stance Detection. | Bin Liang, Qinglin Zhu, Xiang Li, Min Yang, Lin Gui, Yulan He, Ruifeng Xu |
| 2022 | COLING | Modeling Intra- and Inter-Modal Relations: Hierarchical Graph Contrastive Learning for Multimodal Sentiment Analysis. | Zijie Lin, Bin Liang, Yunfei Long, Yixue Dang, Min Yang, Min Zhang, Ruifeng Xu |
| 2022 | COLING | Reducing Spurious Correlations for Answer Selection by Feature Decorrelation and Language Debiasing. | Zeyi Zhong, Min Yang, Ruifeng Xu |
| 2022 | EMNLP | MCPG: A Flexible Multi-Level Controllable Framework for Unsupervised Paraphrase Generation. | Yi Chen, Haiyun Jiang, Lemao Liu, Rui Wang, Shuming Shi, Ruifeng Xu |
| 2022 | EMNLP | A Generative Model for End-to-End Argument Mining with Reconstructed Positional Encoding and Constrained Pointer Mechanism. | Jianzhu Bao, Yuhang He, Yang Sun, Bin Liang, Jiachen Du, Bing Qin, Min Yang, Ruifeng Xu |
| 2022 | EMNLP | AEG: Argumentative Essay Generation via A Dual-Decoder Model with Content Planning. | Jianzhu Bao, Yasheng Wang, Yitong Li, Fei Mi, Ruifeng Xu |
| 2022 | EMNLP | Mask-then-Fill: A Flexible and Effective Data Augmentation Framework for Event Extraction. | Jun Gao, Changlong Yu, Wei Wang, Huan Zhao, Ruifeng Xu |
| 2022 | EMNLP | Masked Language Models Know Which are Popular: A Simple Ranking Strategy for Commonsense Question Answering. | Xuan Luo, Chuang Fan, Yice Zhang, Wanguo Jiang, Bing Qin, Ruifeng Xu |
| 2022 | EMNLP | Probing Structural Knowledge from Pre-trained Language Model for Argumentation Relation Classification. | Yang Sun, Bin Liang, Jianzhu Bao, Min Yang, Ruifeng Xu |
| 2022 | EMNLP | SEMGraph: Incorporating Sentiment Knowledge and Eye Movement into Graph Model for Sentiment Analysis. | Bingbing Wang, Bin Liang, Jiachen Du, Min Yang, Ruifeng Xu |
| 2022 | EMNLP | Boundary-Driven Table-Filling for Aspect Sentiment Triplet Extraction. | Yice Zhang, Yifan Yang, Yihui Li, Bin Liang, Shiwei Chen, Yixue Dang, Min Yang, Ruifeng Xu |
| 2022 | EMNLP | CLLE: A Benchmark for Continual Language Learning Evaluation in Multilingual Machine Translation. | Han Zhang, Sheng Zhang, Yang Xiang, Bin Liang, Jinsong Su, Zhongjian Miao, Hui Wang, Ruifeng Xu |
| 2022 | NAACL | Interpretable Proof Generation via Iterative Backward Reasoning. | Hanhao Qu, Yu Cao, Jun Gao, Liang Ding, Ruifeng Xu |
| 2022 | WWW | Zero-Shot Stance Detection via Contrastive Learning. | Bin Liang, Zixiao Chen, Lin Gui, Yulan He, Min Yang, Ruifeng Xu |
| 2022 | SIGIR | Towards Event-level Causal Relation Identification. | Chuang Fan, Daoxing Liu, Libo Qin, Yue Zhang, Ruifeng Xu |
| 2022 | SIGIR | Dual Pseudo Supervision for Semi-Supervised Text Classification with a Reliable Teacher. | Shujie Li, Min Yang, Chengming Li, Ruifeng Xu |
| 2022 | SIGIR | Translation-Based Implicit Annotation Projection for Zero-Shot Cross-Lingual Event Argument Extraction. | Chenwei Lou, Jun Gao, Changlong Yu, Wei Wang, Huan Zhao, Weiwei Tu, Ruifeng Xu |
| 2022 | SIGIR | Masking and Generation: An Unsupervised Method for Sarcasm Detection. | Rui Wang, Qianlong Wang, Bin Liang, Yi Chen, Zhiyuan Wen, Bing Qin, Ruifeng Xu |
| 2022 | SIGIR | Image-Text Retrieval via Contrastive Learning with Auxiliary Generative Features and Support-set Regularization. | Lei Zhang, Min Yang, Chengming Li, Ruifeng Xu |
| 2022 | SIGIR | Enhancing Zero-Shot Stance Detection via Targeted Background Knowledge. | Qinglin Zhu, Bin Liang, Jingyi Sun, Jiachen Du, Lanjun Zhou, Ruifeng Xu |
| 2021 | AAAI | Exploring Auxiliary Reasoning Tasks for Task-oriented Dialog Systems with Meta Cooperative Learning. | Bowen Qin, Min Yang, Lidong Bing, Qingshan Jiang, Chengming Li, Ruifeng Xu |
| 2021 | AAAI | Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational Reasoning. | Chunpu Xu, Min Yang, Chengming Li, Ying Shen, Xiang Ao, Ruifeng Xu |
| 2021 | ACL | A Neural Transition-based Model for Argumentation Mining. | Jianzhu Bao, Chuang Fan, Jipeng Wu, Yixue Dang, Jiachen Du, Ruifeng Xu |
| 2021 | ACL | REAM$\sharp$: An Enhancement Approach to Reference-based Evaluation Metrics for Open-domain Dialog Generation. | Jun Gao, Wei Bi, Ruifeng Xu, Shuming Shi |
| 2021 | ACL | Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking. | Binzong Geng, Fajie Yuan, Qiancheng Xu, Ying Shen, Ruifeng Xu, Min Yang |
| 2021 | CIKM | Enhancing Aspect-Based Sentiment Analysis with Supervised Contrastive Learning. | Bin Liang, Wangda Luo, Xiang Li, Lin Gui, Min Yang, Xiaoqi Yu, Ruifeng Xu |
| 2021 | EMNLP | An Empirical Study on Multiple Information Sources for Zero-Shot Fine-Grained Entity Typing. | Yi Chen, Haiyun Jiang, Lemao Liu, Shuming Shi, Chuang Fan, Min Yang, Ruifeng Xu |
| 2021 | EMNLP | Argument Pair Extraction with Mutual Guidance and Inter-sentence Relation Graph. | Jianzhu Bao, Bin Liang, Jingyi Sun, Yice Zhang, Min Yang, Ruifeng Xu |
| 2021 | EMNLP | Improving Empathetic Response Generation by Recognizing Emotion Cause in Conversations. | Jun Gao, Yuhan Liu, Haolin Deng, Wei Wang, Yu Cao, Jiachen Du, Ruifeng Xu |
| 2021 | EMNLP | Beta Distribution Guided Aspect-aware Graph for Aspect Category Sentiment Analysis with Affective Knowledge. | Bin Liang, Hang Su, Rongdi Yin, Lin Gui, Min Yang, Qin Zhao, Xiaoqi Yu, Ruifeng Xu |
| 2021 | EMNLP | Progressive Self-Training with Discriminator for Aspect Term Extraction. | Qianlong Wang, Zhiyuan Wen, Qin Zhao, Min Yang, Ruifeng Xu |
| 2021 | ICASSP | Generating Empathetic Responses by Injecting Anticipated Emotion. | Yuhan Liu, Jiachen Du, Xiang Li, Ruifeng Xu |
| 2021 | WWW | Target-adaptive Graph for Cross-target Stance Detection. | Bin Liang, Yonghao Fu, Lin Gui, Min Yang, Jiachen Du, Yulan He, Ruifeng Xu |
| 2021 | SIGIR | Iterative Network Pruning with Uncertainty Regularization for Lifelong Sentiment Classification. | Binzong Geng, Min Yang, Fajie Yuan, Shupeng Wang, Xiang Ao, Ruifeng Xu |
| 2021 | SIGIR | Accelerating Neural Architecture Search for Natural Language Processing with Knowledge Distillation and Earth Mover's Distance. | Jianquan Li, Xiaokang Liu, Sheng Zhang, Min Yang, Ruifeng Xu, Fengqing Qin |
| 2021 | SIGIR | Affective Dependency Graph for Sarcasm Detection. | Chenwei Lou, Bin Liang, Lin Gui, Yulan He, Yixue Dang, Ruifeng Xu |
| 2021 | SIGIR | Abstractive Text Summarization with Hierarchical Multi-scale Abstraction Modeling and Dynamic Memory. | Lihan Wang, Min Yang, Chengming Li, Ying Shen, Ruifeng Xu |
| 2020 | AAAI | Interactive Dual Generative Adversarial Networks for Image Captioning. | Junhao Liu, Kai Wang, Chunpu Xu, Zhou Zhao, Ruifeng Xu, Ying Shen, Min Yang |
| 2020 | AAAI | Improving Knowledge-Aware Dialogue Generation via Knowledge Base Question Answering. | Jian Wang, Junhao Liu, Wei Bi, Xiaojiang Liu, Kejing He, Ruifeng Xu, Min Yang |
| 2020 | ACL | Transition-based Directed Graph Construction for Emotion-Cause Pair Extraction. | Chuang Fan, Chaofa Yuan, Jiachen Du, Lin Gui, Min Yang, Ruifeng Xu |
| 2020 | CIKM | Aspect-invariant Sentiment Features Learning: Adversarial Multi-task Learning for Aspect-based Sentiment Analysis. | Bin Liang, Rongdi Yin, Lin Gui, Jiachen Du, Yulan He, Ruifeng Xu |
| 2020 | COLING | Jointly Learning Aspect-Focused and Inter-Aspect Relations with Graph Convolutional Networks for Aspect Sentiment Analysis. | Bin Liang, Rongdi Yin, Lin Gui, Jiachen Du, Ruifeng Xu |
| 2020 | COLING | Dual Dynamic Memory Network for End-to-End Multi-turn Task-oriented Dialog Systems. | Jian Wang, Junhao Liu, Wei Bi, Xiaojiang Liu, Kejing He, Ruifeng Xu, Min Yang |
| 2020 | EMNLP | Amalgamating Knowledge from Two Teachers for Task-oriented Dialogue System with Adversarial Training. | Wanwei He, Min Yang, Rui Yan, Chengming Li, Ying Shen, Ruifeng Xu |
| 2020 | EMNLP | BERT-EMD: Many-to-Many Layer Mapping for BERT Compression with Earth Mover's Distance. | Jianquan Li, Xiaokang Liu, Honghong Zhao, Ruifeng Xu, Min Yang, Yaohong Jin |
| 2020 | EMNLP | Emotion-Cause Pair Extraction as Sequence Labeling Based on A Novel Tagging Scheme. | Chaofa Yuan, Chuang Fan, Jianzhu Bao, Ruifeng Xu |
| 2020 | LREC | The Design and Construction of a Chinese Sarcasm Dataset. | Xiaochang Gong, Qin Zhao, Jun Zhang, Ruibin Mao, Ruifeng Xu |
| 2020 | LREC | Target-based Sentiment Annotation in Chinese Financial News. | Chaofa Yuan, Yuhan Liu, Rongdi Yin, Jun Zhang, Qinling Zhu, Ruibin Mao, Ruifeng Xu |
| 2019 | ACL | Context-aware Embedding for Targeted Aspect-based Sentiment Analysis. | Bin Liang, Jiachen Du, Ruifeng Xu, Binyang Li, Hejiao Huang |
| 2019 | CICLING | Adversarial Training Based Cross-Lingual Emotion Cause Extraction. | Hongyu Yan, Qinghong Gao, Jiachen Du, Binyang Li, Ruifeng Xu |
| 2019 | EMNLP | A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis. | Chuang Fan, Hongyu Yan, Jiachen Du, Lin Gui, Lidong Bing, Min Yang, Ruifeng Xu, Ruibin Mao |
| 2019 | EMNLP | Neural Topic Model with Reinforcement Learning. | Lin Gui, Jia Leng, Gabriele Pergola, Yu Zhou, Ruifeng Xu, Yulan He |
| 2019 | EMNLP | A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis. | Qingnan Jiang, Lei Chen, Ruifeng Xu, Xiang Ao, Min Yang |
| 2018 | EMNLP | Hybrid Neural Attention for Agreement/Disagreement Inference in Online Debates. | Di Chen, Jiachen Du, Lidong Bing, Ruifeng Xu |
| 2018 | EMNLP | Variational Autoregressive Decoder for Neural Response Generation. | Jiachen Du, Wenjie Li, Yulan He, Ruifeng Xu, Lidong Bing, Xuan Wang |
| 2018 | LREC | The UIR Uncertainty Corpus for Chinese: Annotating Chinese Microblog Corpus for Uncertainty Identification from Social Media. | Binyang Li, Jun Xiang, Le Chen, Xu Han, Xiaoyan Yu, Ruifeng Xu, Tengjiao Wang, Kam-Fai Wong |
| 2018 | SIGIR | Convolution-based Memory Network for Aspect-based Sentiment Analysis. | Chuang Fan, Qinghong Gao, Jiachen Du, Lin Gui, Ruifeng Xu, Kam-Fai Wong |
| 2017 | CICLING | Leveraging Target-Oriented Information for Stance Classification. | Jiachen Du, Ruifeng Xu, Lin Gui, Xuan Wang |
| 2017 | EMNLP | A Question Answering Approach for Emotion Cause Extraction. | Lin Gui, Jiannan Hu, Yulan He, Ruifeng Xu, Qin Lu, Jiachen Du |
| 2017 | IJCAI | Stance Classification with Target-specific Neural Attention. | Jiachen Du, Ruifeng Xu, Yulan He, Lin Gui |
| 2016 | EMNLP | Event-Driven Emotion Cause Extraction with Corpus Construction. | Lin Gui, Dongyin Wu, Ruifeng Xu, Qin Lu, Yu Zhou |
| 2016 | ICMLC | Type recognition of financial events by incorporating text and time-series features. | Feng Shi, Yu Zhou, Bing Kong, Ruifeng Xu |
| 2016 | ICMLC | A sequence level latent topic modeling method for sentiment analysis via CNN based Diversified Restrict Boltzmann Machine. | Yu Zhou, Ruifeng Xu, Lin Gui |
| 2016 | IJCAI | Intersubjectivity and Sentiment: From Language to Knowledge. | Lin Gui, Ruifeng Xu, Yulan He, Qin Lu, Zhongyu Wei |
| 2015 | ACL | Improving Distributed Representation of Word Sense via WordNet Gloss Composition and Context Clustering. | Tao Chen, Ruifeng Xu, Yulan He, Xuan Wang |
| 2015 | CICLING | Trending Sentiment-Topic Detection on Twitter. | Baolin Peng, Jing Li, Junwen Chen, Xu Han, Ruifeng Xu, Kam-Fai Wong |
| 2015 | CICLING | An Iterative Emotion Classification Approach for Microblogs. | Ruifeng Xu, Zhaoyu Wang, Jun Xu, Junwen Chen, Qin Lu, Kam-Fai Wong |
| 2015 | CIKM | A Novel Class Noise Estimation Method and Application in Classification. | Lin Gui, Qin Lu, Ruifeng Xu, Minglei Li, Qikang Wei |
| 2015 | ICMLC | Bootstrapping-based relation extraction in financial domain. | Bing Kong, Ruifeng Xu, Dong-Yin Wu |
| 2015 | ICMLC | Decision fusion for EEG-based emotion recognition. | Shuai Wang, Jiachen Du, Ruifeng Xu |
| 2015 | ICMLC | Microblogging emotion classification based on multi-classifier integration strategy. | Zhao-Yu Wang, Ruifeng Xu, Yu Zhou |
| 2015 | ICONIP | Learning Task Specific Distributed Paragraph Representations Using a 2-Tier Convolutional Neural Network. | Tao Chen, Ruifeng Xu, Yulan He, Xuan Wang |
| 2015 | KSEM | Improving Transfer Learning in Cross Lingual Opinion Analysis Through Negative Transfer Detection. | Lin Gui, Qin Lu, Ruifeng Xu, Qikang Wei, Yuhui Cao |
| 2014 | ACL | Automatic Labelling of Topic Models Learned from Twitter by Summarisation. | Amparo Elizabeth Cano Basave, Yulan He, Ruifeng Xu |
| 2014 | ACL | Cross-lingual Opinion Analysis via Negative Transfer Detection. | Lin Gui, Ruifeng Xu, Qin Lu, Jun Xu, Jian Xu, Bin Liu, Xiaolong Wang |
| 2014 | ACL | Web Information Mining and Decision Support Platform for the Modern Service Industry. | Binyang Li, Lanjun Zhou, Zhongyu Wei, Kam-Fai Wong, Ruifeng Xu, Yunqing Xia |
| 2014 | CICLING | A Sentence Vector Based Over-Sampling Method for Imbalanced Emotion Classification. | Tao Chen, Ruifeng Xu, Qin Lu, Bin Liu, Jun Xu, Lin Yao, Zhenyu He |
| 2014 | CICLING | Reader Emotion Prediction Using Concept and Concept Sequence Features in News Headlines. | Yuanlin Yao, Ruifeng Xu, Qin Lu, Bin Liu, Jun Xu, Chengtian Zou, Li Yuan, Shuwei Wang, Lin Yao, Zhenyu He |
| 2014 | ICMLC | Credibility Estimation of Stock Comments Based on Publisher and Information Uncertainty Evaluation. | Qiaoyun Qiu, Ruifeng Xu, Bin Liu, Lin Gui, Yu Zhou |
| 2014 | ICMLC | A Storm-Based Real-Time Micro-Blogging Burst Event Detection System. | Yiding Wang, Ruifeng Xu, Bin Liu, Lin Gui, Bin Tang |
| 2014 | ICMLC | Financial named entity recognition based on conditional random fields and information entropy. | Shuwei Wang, Ruifeng Xu, Bin Liu, Lin Gui, Yu Zhou |
| 2013 | CICLING | Chinese Emotion Lexicon Developing via Multi-lingual Lexical Resources Integration. | Jun Xu, Ruifeng Xu, Yanzhen Zheng, Qin Lu, Kam-Fai Wong, Xiaolong Wang |
| 2013 | ICMLC | Burst events detection on micro-blogging. | Chengxiang Liu, Ruifeng Xu, Lin Gui |
| 2013 | ICMLC | Comparative opinion sentences identification and elements extraction. | Chengxiang Liu, Ruifeng Xu, Jie Liu, Peng Qu, He Wang, Chengtian Zou |
| 2012 | CIKM | Coarse-to-fine sentence-level emotion classification based on the intra-sentence features and sentential context. | Jun Xu, Ruifeng Xu, Qin Lu, Xiaolong Wang |
| 2012 | CoNLL | Incorporating Rule-based and Statistic-based Techniques for Coreference Resolution. | Ruifeng Xu, Jun Xu, Jie Liu, Chengxiang Liu, Chengtian Zou, Lin Gui, Yanzhen Zheng, Peng Qu |
| 2012 | ICMLC | Language model based Chinese financial news sentiment classification. | Jun Xu, Ruifeng Xu, Xiaolong Wang |
| 2012 | ICMLC | Emotion prediction of news articles from reader's perspective based on multi-label classification. | Lu Ye, Ruifeng Xu, Jun Xu |
| 2011 | ICMLC | An improved sentence polishing model used in automatic extraction. | Yan Wu, Xiukun Li, Ruifeng Xu, Lin Yao |
| 2011 | ICMLC | On-line new event detection using time window strategy. | Ruifeng Xu, Wei-Hua Peng, Jun Xu, Xiao Long |
| 2011 | ICONIP | Diversifying Question Recommendations in Community-Based Question Answering. | Yaoyun Zhang, Xiaolong Wang, Xuan Wang, Ruifeng Xu, Buzhou Tang |
| 2011 | IJCNLP | Diversifying Information Needs in Results of Question Retrieval. | Yaoyun Zhang, Xiaolong Wang, Xuan Wang, Ruifeng Xu, Jun Xu, Shixi Fan |
| 2008 | LREC | Opinion Annotation in On-line Chinese Product Reviews. | Ruifeng Xu, Yunqing Xia, Kam-Fai Wong, Wenjie Li |
| 2006 | LREC | Interaction between Lexical Base and Ontology with Formal Concept Analysis. | Sujian Li, Qin Lu, Wenjie Li, Ruifeng Xu |
| 2006 | LREC | The Design and Construction of A Chinese Collocation Bank. | Ruifeng Xu, Qin Lu, Sujian Li |
| 2005 | ICMLC | A Multi-stage Chinese Collocation Extraction System. | Ruifeng Xu, Qin Lu |
| 2001 | SMC | Using neural network classifier in post-processing system for handwritten Chinese character recognition. | Ruifeng Xu, Daniel S. Yeung, Xizhao Wang |
| 1998 | SMC | Experiments on the use of corpus-based word BI-gram in Chinese word segmentation. | Ruifeng Xu, Daniel S. Yeung |