Lin Gui

180 papers A* 29A 10B 2C 1Misc 3Journal 89Unranked 46
YearRankTypeTitle / Venue / Authors
2026 A* conf
Beyond Perplexity: Let the Reader Select Retrieval Summaries via Spectrum Projection Score.
AAAI
Zhanghao Hu, Qinglin Zhu, Siya Qi, Yulan He, Hanqi Yan, Lin Gui
2026 J jnl
Beyond RAG for Agent Memory: Retrieval by Decoupling and Aggregation.
CoRR
Zhanghao Hu, Qinglin Zhu, Hanqi Yan, Yulan He, Lin Gui
2026 J jnl
Beyond Static Cropping: Layer-Adaptive Visual Localization and Decoding Enhancement.
CoRR
Zipeng Zhu, Zhanghao Hu, Qinglin Zhu, Yuxi Hong, Yijun Liu, Jingyong Su, Yulan He, Lin Gui
2026 J jnl
Detecting Contextual Hallucinations in LLMs with Frequency-Aware Attention.
CoRR
Siya Qi, Yudong Chen, Runcong Zhao, Qinglin Zhu, Zhanghao Hu, Wei Liu, Yulan He, Zheng Yuan, Lin Gui
2026 A* conf
MemGuide: Intent-Driven Memory Selection for Goal-Oriented Multi-Session LLM Agents.
AAAI
Yiming Du, Bingbing Wang, Yang He, Bin Liang, Baojun Wang, Zhongyang Li, Lin Gui, Jeff Z. Pan, Ruifeng Xu, Kam-Fai Wong
2026 J jnl
Pull Requests as a Training Signal for Repo-Level Code Editing.
CoRR
Qinglin Zhu, Tianyu Chen, Shuai Lu, Lei Ji, Runcong Zhao, Murong Ma, Xiangxiang Dai, Yulan He, Lin Gui, Peng Cheng, Yeyun Gong
2026 J jnl
Stop the Flip-Flop: Context-Preserving Verification for Fast Revocable Diffusion Decoding.
CoRR
Yanzheng Xiang, Lan Wei, Yizhen Yao, Qinglin Zhu, Hanqi Yan, Chen Jin, Philip Alexander Teare, Dandan Zhang, Lin Gui, Amrutha Saseendran, Yulan He
2025 — conf
Beyond Prompting: An Efficient Embedding Framework for Open-Domain Question Answering.
ACL (1)
Zhanghao Hu, Hanqi Yan, Qinglin Zhu, Zhenyi Shen, Yulan He, Lin Gui
2025 J jnl
Beyond Prompting: An Efficient Embedding Framework for Open-Domain Question Answering.
CoRR
Zhanghao Hu, Hanqi Yan, Qingling Zhu, Zhenyi Shen, Yulan He, Lin Gui
2025 J jnl
Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs.
CoRR
Shenzhi Yang, Bin Liang, An Liu, Lin Gui, Xingkai Yao, Xiaofang Zhang
2025 J jnl
Bridging the Long-Term Gap: A Memory-Active Policy for Multi-Session Task-Oriented Dialogue.
CoRR
Yiming Du, Bingbing Wang, Yang He, Bin Liang, Baojun Wang, Zhongyang Li, Lin Gui, Jeff Z. Pan, Ruifeng Xu, Kam-Fai Wong
2025 — conf
COPR: Continual Human Preference Learning via Optimal Policy Regularization.
ACL (Findings)
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 A* conf
Centrality-guided Pre-training for Graph.
ICLR
Bin Liang, Shiwei Chen, Lin Gui, Hui Wang, Yue Yu, Ruifeng Xu, Kam-Fai Wong
2025 A* conf
Correcting Large Language Model Behavior via Influence Function.
AAAI
Han Zhang, Zhuo Zhang, Yi Zhang, Yuanzhao Zhai, Hanyang Peng, Yu Lei, Yue Yu, Hui Wang, Bin Liang, Lin Gui, Ruifeng Xu
2025 J jnl
FGVIrony: A Chinese Dataset of Fine-grained Verbal Irony.
Inf. Process. Manag.
Zhiyuan Wen, Rui Wang, Qianlong Wang, Lin Gui, Yunfei Long, Shiwei Chen, Bin Liang, Min Yang, Ruifeng Xu
2025 A* conf
Flexibly Utilize Memory for Long-Term Conversation via a Fragment-then-Compose Framework.
EMNLP
Cai Ke, Yiming Du, Bin Liang, Yifan Xiang, Lin Gui, Zhongyang Li, Baojun Wang, Yue Yu, Hui Wang, Kam-Fai Wong, Ruifeng Xu
2025 J jnl
GazeGCN: Gaze-aware Graph Convolutional Network for Text Classification.
Neurocomputing
Bingbing Wang, Bin Liang, Zhixin Bai, Min Yang, Lin Gui, Ruifeng Xu
2025 — conf
GraphMind: Interactive Novelty Assessment System for Accelerating Scientific Discovery.
EMNLP (System Demonstrations)
Italo Luis da Silva, Hanqi Yan, Lin Gui, Yulan He
2025 J jnl
GraphMind: Interactive Novelty Assessment System for Accelerating Scientific Discovery.
CoRR
Italo Luis da Silva, Hanqi Yan, Lin Gui, Yulan He
2025 J jnl
Latent Refinement Decoding: Enhancing Diffusion-Based Language Models by Refining Belief States.
CoRR
Qinglin Zhu, Yizhen Yao, Runcong Zhao, Yanzheng Xiang, Amrutha Saseendran, Chen Jin, Philip Teare, Bin Liang, Yulan He, Lin Gui
2025 — conf
Mitigating Biases of Large Language Models in Stance Detection with Counterfactual Augmented Calibration.
NAACL (Long Papers)
Ang Li, Jingqian Zhao, Bin Liang, Lin Gui, Hui Wang, Xi Zeng, Xingwei Liang, Kam-Fai Wong, Ruifeng Xu
2025 — conf
PECAN: LLM-Guided Dynamic Progress Control with Attention-Guided Hierarchical Weighted Graph for Long-Document QA.
ACL (Findings)
Xinyu Wang, Yanzheng Xiang, Lin Gui, Yulan He
2025 — conf
RoleMRC: A Fine-Grained Composite Benchmark for Role-Playing and Instruction-Following.
ACL (Findings)
Junru Lu, Jiazheng Li, Guodong Shen, Lin Gui, Siyu An, Yulan He, Di Yin, Xing Sun
2025 J jnl
RoleMRC: A Fine-Grained Composite Benchmark for Role-Playing and Instruction-Following.
CoRR
Junru Lu, Jiazheng Li, Guodong Shen, Lin Gui, Siyu An, Yulan He, Di Yin, Xing Sun
2025 J jnl
SSA: Sparse Sparse Attention by Aligning Full and Sparse Attention Outputs in Feature Space.
CoRR
Zhenyi Shen, Junru Lu, Lin Gui, Jiazheng Li, Yulan He, Di Yin, Xing Sun
2025 J jnl
SciReplicate-Bench: Benchmarking LLMs in Agent-driven Algorithmic Reproduction from Research Papers.
CoRR
Yanzheng Xiang, Hanqi Yan, Shuyin Ouyang, Lin Gui, Yulan He
2025 A* conf
Soft Reasoning: Navigating Solution Spaces in Large Language Models through Controlled Embedding Exploration.
ICML
Qinglin Zhu, Runcong Zhao, Hanqi Yan, Yulan He, Yudong Chen, Lin Gui
2025 J jnl
Soft Reasoning: Navigating Solution Spaces in Large Language Models through Controlled Embedding Exploration.
CoRR
Qinglin Zhu, Runcong Zhao, Hanqi Yan, Yulan He, Yudong Chen, Lin Gui
2025 A* conf
Sparse Activation Editing for Reliable Instruction Following in Narratives.
EMNLP
Runcong Zhao, Chengyu Cao, Qinglin Zhu, Xiucheng Lyu, Shun Shao, Lin Gui, Ruifeng Xu, Yulan He
2025 J jnl
Sparse Activation Editing for Reliable Instruction Following in Narratives.
CoRR
Runcong Zhao, Chengyu Cao, Qinglin Zhu, Xiucheng Lv, Shun Shao, Lin Gui, Ruifeng Xu, Yulan He
2025 J jnl
Spectrum Projection Score: Aligning Retrieved Summaries with Reader Models in Retrieval-Augmented Generation.
CoRR
Zhanghao Hu, Qinglin Zhu, Siya Qi, Yulan He, Hanqi Yan, Lin Gui
2025 J jnl
SymbolicThought: Integrating Language Models and Symbolic Reasoning for Consistent and Interpretable Human Relationship Understanding.
CoRR
Runcong Zhao, Qinglin Zhu, Hainiu Xu, Bin Liang, Lin Gui, Yulan He
2025 A* conf
Two Heads Are Better Than One: Dual-Model Verbal Reflection at Inference-Time.
EMNLP
Jiazheng Li, Yuxiang Zhou, Junru Lu, Gladys Tyen, Lin Gui, Cesare Aloisi, Yulan He
2025 J jnl
Two Heads Are Better Than One: Dual-Model Verbal Reflection at Inference-Time.
CoRR
Jiazheng Li, Yuxiang Zhou, Junru Lu, Gladys Tyen, Lin Gui, Cesare Aloisi, Yulan He
2024 — conf
Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models.
ACL (Findings)
Yanzheng Xiang, Hanqi Yan, Lin Gui, Yulan He
2024 J jnl
Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models.
CoRR
Yanzheng Xiang, Hanqi Yan, Lin Gui, Yulan He
2024 A* conf
Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs.
ICML
Shenzhi Yang, Bin Liang, An Liu, Lin Gui, Xingkai Yao, Xiaofang Zhang
2024 A* conf
CPPO: Continual Learning for Reinforcement Learning with Human Feedback.
ICLR
Han Zhang, Yu Lei, Lin Gui, Min Yang, Yulan He, Hui Wang, Ruifeng Xu
2024 J jnl
Correcting Large Language Model Behavior via Influence Function.
CoRR
Han Zhang, Zhuo Zhang, Yi Zhang, Yuanzhao Zhai, Hanyang Peng, Yu Lei, Yue Yu, Hui Wang, Bin Liang, Lin Gui, Ruifeng Xu
2024 J jnl
Counterfactual Generation with Identifiability Guarantees.
CoRR
Hanqi Yan, Lingjing Kong, Lin Gui, Yuejie Chi, Eric P. Xing, Yulan He, Kun Zhang
2024 A* conf
Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective.
EMNLP
Hanqi Yan, Yanzheng Xiang, Guangyi Chen, Yifei Wang, Lin Gui, Yulan He
2024 J jnl
Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective.
CoRR
Hanqi Yan, Yanzheng Xiang, Guangyi Chen, Yifei Wang, Lin Gui, Yulan He
2024 J jnl
Explainable Recommender With Geometric Information Bottleneck.
IEEE Trans. Knowl. Data Eng.
Hanqi Yan, Lin Gui, Menghan Wang, Kun Zhang, Yulan He
2024 J jnl
Fusion and Discrimination: A Multimodal Graph Contrastive Learning Framework for Multimodal Sarcasm Detection.
IEEE Trans. Affect. Comput.
Bin Liang, Lin Gui, Yulan He, Erik Cambria, Ruifeng Xu
2024 J jnl
GARLIC: LLM-Guided Dynamic Progress Control with Hierarchical Weighted Graph for Long Document QA.
CoRR
Xinyu Wang, Yanzheng Xiang, Lin Gui, Yulan He
2024 — conf
Large Language Models Fall Short: Understanding Complex Relationships in Detective Narratives.
ACL (Findings)
Runcong Zhao, Qinglin Zhu, Hainiu Xu, Jiazheng Li, Yuxiang Zhou, Yulan He, Lin Gui
2024 J jnl
Large Language Models Fall Short: Understanding Complex Relationships in Detective Narratives.
CoRR
Runcong Zhao, Qinglin Zhu, Hainiu Xu, Jiazheng Li, Yuxiang Zhou, Yulan He, Lin Gui
2024 J jnl
Mirror: A Multiple-perspective Self-Reflection Method for Knowledge-rich Reasoning.
CoRR
Hanqi Yan, Qinglin Zhu, Xinyu Wang, Lin Gui, Yulan He
2024 — conf
Mirror: Multiple-perspective Self-Reflection Method for Knowledge-rich Reasoning.
ACL (1)
Hanqi Yan, Qinglin Zhu, Xinyu Wang, Lin Gui, Yulan He
2024 J jnl
Mitigating Biases of Large Language Models in Stance Detection with Calibration.
CoRR
Ang Li, Jingqian Zhao, Bin Liang, Lin Gui, Hui Wang, Xi Zeng, Kam-Fai Wong, Ruifeng Xu
2024 A* conf
Multi-Layer Ranking with Large Language Models for News Source Recommendation.
SIGIR
Wenjia Zhang, Lin Gui, Rob Procter, Yulan He
2024 J jnl
Multi-Layer Ranking with Large Language Models for News Source Recommendation.
CoRR
Wenjia Zhang, Lin Gui, Rob Procter, Yulan He
2024 — conf
Multi-modal Stance Detection: New Datasets and Model.
ACL (Findings)
Bin Liang, Ang Li, Jingqian Zhao, Lin Gui, Min Yang, Yue Yu, Kam-Fai Wong, Ruifeng Xu
2024 J jnl
Multi-modal Stance Detection: New Datasets and Model.
CoRR
Bin Liang, Ang Li, Jingqian Zhao, Lin Gui, Min Yang, Yue Yu, Kam-Fai Wong, Ruifeng Xu
2024 A* conf
NarrativePlay: An Automated System for Crafting Visual Worlds in Novels for Role-Playing.
AAAI
Runcong Zhao, Wenjia Zhang, Jiazheng Li, Lixing Zhu, Yanran Li, Yulan He, Lin Gui
2024 — conf
NarrativePlay: Interactive Narrative Understanding.
EACL (Demonstrations)
Runcong Zhao, Wenjia Zhang, Jiazheng Li, Lixing Zhu, Yanran Li, Yulan He, Lin Gui
2024 J jnl
PLAYER*: Enhancing LLM-based Multi-Agent Communication and Interaction in Murder Mystery Games.
CoRR
Qinglin Zhu, Runcong Zhao, Jinhua Du, Lin Gui, Yulan He
2024 A* conf
The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis.
EMNLP
Yuxiang Zhou, Jiazheng Li, Yanzheng Xiang, Hanqi Yan, Lin Gui, Yulan He
2024 — conf
Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond.
ACL (Findings)
Xinyu Wang, Hainiu Xu, Lin Gui, Yulan He
2024 J jnl
Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond.
CoRR
Xinyu Wang, Hainiu Xu, Lin Gui, Yulan He
2024 A* conf
Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systems.
EMNLP
Italo Luis da Silva, Hanqi Yan, Lin Gui, Yulan He
2024 J jnl
Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systems.
CoRR
Italo Luis da Silva, Hanqi Yan, Lin Gui, Yulan He
2023 A* conf
A Scalable Framework for Table of Contents Extraction from Complex ESG Annual Reports.
EMNLP
Xinyu Wang, Lin Gui, Yulan He
2023 J jnl
A Scalable Framework for Table of Contents Extraction from Complex ESG Annual Reports.
CoRR
Xinyu Wang, Lin Gui, Yulan He
2023 — conf
Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding.
EMNLP (Findings)
Lixing Zhu, Runcong Zhao, Lin Gui, Yulan He
2023 J jnl
Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding.
CoRR
Lixing Zhu, Runcong Zhao, Lin Gui, Yulan He
2023 J jnl
COPF: Continual Learning Human Preference through Optimal Policy Fitting.
CoRR
Han Zhang, Lin Gui, Yuanzhao Zhai, Hui Wang, Yu Lei, Ruifeng Xu
2023 A conf
CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models.
UAI
Jiazheng Li, Zhaoyue Sun, Bin Liang, Lin Gui, Yulan He
2023 J jnl
CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models.
CoRR
Jiazheng Li, Zhaoyue Sun, Bin Liang, Lin Gui, Yulan He
2023 A* conf
Cone: Unsupervised Contrastive Opinion Extraction.
SIGIR
Runcong Zhao, Lin Gui, Yulan He
2023 J jnl
Cone: Unsupervised Contrastive Opinion Extraction.
CoRR
Runcong Zhao, Lin Gui, Yulan He
2023 A* conf
Counterfactual Generation with Identifiability Guarantees.
NeurIPS
Hanqi Yan, Lingjing Kong, Lin Gui, Yuejie Chi, Eric P. Xing, Yulan He, Kun Zhang
2023 — conf
Distilling ChatGPT for Explainable Automated Student Answer Assessment.
EMNLP (Findings)
Jiazheng Li, Lin Gui, Yuxiang Zhou, David West, Cesare Aloisi, Yulan He
2023 J jnl
Distilling ChatGPT for Explainable Automated Student Answer Assessment.
CoRR
Jiazheng Li, Lin Gui, Yuxiang Zhou, David West, Cesare Aloisi, Yulan He
2023 — conf
Distinguishability Calibration to In-Context Learning.
EACL (Findings)
Hongjing Li, Hanqi Yan, Yanran Li, Li Qian, Yulan He, Lin Gui
2023 J jnl
Distinguishability Calibration to In-Context Learning.
CoRR
Hongjing Li, Hanqi Yan, Yanran Li, Li Qian, Yulan He, Lin Gui
2023 A conf
Do Topic and Causal Consistency Affect Emotion Cognition? A Graph Interactive Network for Conversational Emotion Detection.
ECAI
Geng Tu, Bin Liang, Xiucheng Lyu, Lin Gui, Ruifeng Xu
2023 — conf
Document-Level Multi-Event Extraction with Event Proxy Nodes and Hausdorff Distance Minimization.
ACL (1)
Xinyu Wang, Lin Gui, Yulan He
2023 J jnl
Document-Level Multi-Event Extraction with Event Proxy Nodes and Hausdorff Distance Minimization.
CoRR
Xinyu Wang, Lin Gui, Yulan He
2023 J jnl
Embedding Refinement Framework for Targeted Aspect-Based Sentiment Analysis.
IEEE Trans. Affect. Comput.
Bin Liang, Rongdi Yin, Jiachen Du, Lin Gui, Yulan He, Min Yang, Ruifeng Xu
2023 J jnl
Event Knowledge Incorporation with Posterior Regularization for Event-Centric Question Answering.
CoRR
Junru Lu, Gabriele Pergola, Lin Gui, Yulan He
2023 J jnl
Explainable Recommender with Geometric Information Bottleneck.
CoRR
Hanqi Yan, Lin Gui, Menghan Wang, Kun Zhang, Yulan He
2023 J jnl
Few-shot Aspect Category Sentiment Analysis via Meta-learning.
ACM Trans. Inf. Syst.
Bin Liang, Xiang Li, Lin Gui, Yonghao Fu, Yulan He, Min Yang, Ruifeng Xu
2023 J jnl
Multi-perspective contrastive learning framework guided by sememe knowledge and label information for sarcasm detection.
Int. J. Mach. Learn. Cybern.
Zhiyuan Wen, Rui Wang, Xuan Luo, Qianlong Wang, Bin Liang, Jiachen Du, Xiaoqi Yu, Lin Gui, Ruifeng Xu
2023 J jnl
NarrativePlay: Interactive Narrative Understanding.
CoRR
Runcong Zhao, Wenjia Zhang, Jiazheng Li, Lixing Zhu, Yanran Li, Yulan He, Lin Gui
2023 J jnl
NewsQuote: A Dataset Built on Quote Extraction and Attribution for Expert Recommendation in Fact-Checking.
CoRR
Wenjia Zhang, Lin Gui, Rob Procter, Yulan He
2023 J jnl
OverPrompt: Enhancing ChatGPT Capabilities through an Efficient In-Context Learning Approach.
CoRR
Jiazheng Li, Runcong Zhao, Yulan He, Lin Gui
2023 — conf
PANACEA: An Automated Misinformation Detection System on COVID-19.
EACL (System Demonstrations)
Runcong Zhao, Miguel Arana-Catania, Lixing Zhu, Elena Kochkina, Lin Gui, Arkaitz Zubiaga, Rob Procter, Maria Liakata, Yulan He
2023 J jnl
PANACEA: An Automated Misinformation Detection System on COVID-19.
CoRR
Runcong Zhao, Miguel Arana-Catania, Lixing Zhu, Elena Kochkina, Lin Gui, Arkaitz Zubiaga, Rob Procter, Maria Liakata, Yulan He
2023 J jnl
The Mystery and Fascination of LLMs: A Comprehensive Survey on the Interpretation and Analysis of Emergent Abilities.
CoRR
Yuxiang Zhou, Jiazheng Li, Yanzheng Xiang, Hanqi Yan, Lin Gui, Yulan He
2023 A conf
Time Machine: Generative Real-Time Model for Failure (and Lead Time) Prediction in HPC Systems.
DSN
Khalid Ayedh Alharthi, Arshad Jhumka, Sheng Di, Lin Gui, Franck Cappello, Simon McIntosh-Smith
2023 J jnl
Tracking Brand-Associated Polarity-Bearing Topics in User Reviews.
CoRR
Runcong Zhao, Lin Gui, Hanqi Yan, Yulan He
2023 J jnl
Tracking Brand-Associated Polarity-Bearing Topics in User Reviews.
Trans. Assoc. Comput. Linguistics
Runcong Zhao, Lin Gui, Hanqi Yan, Yulan He
2023 A* conf
Uncertainty Quantification for Text Classification.
SIGIR
Dell Zhang, Murat Sensoy, Masoud Makrehchi, Bilyana Taneva-Popova, Lin Gui, Yulan He
2022 J jnl
Addressing Token Uniformity in Transformers via Singular Value Transformation.
CoRR
Hanqi Yan, Lin Gui, Wenjie Li, Yulan He
2022 A conf
Addressing token uniformity in transformers via singular value transformation.
UAI
Hanqi Yan, Lin Gui, Wenjie Li, Yulan He
2022 J jnl
Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks.
Knowl. Based Syst.
Bin Liang, Hang Su, Lin Gui, Erik Cambria, Ruifeng Xu
2022 — conf
Event-Centric Question Answering via Contrastive Learning and Invertible Event Transformation.
EMNLP (Findings)
Junru Lu, Xingwei Tan, Gabriele Pergola, Lin Gui, Yulan He
2022 J jnl
Event-Centric Question Answering via Contrastive Learning and Invertible Event Transformation.
CoRR
Junru Lu, Xingwei Tan, Gabriele Pergola, Lin Gui, Yulan He
2022 J jnl
Hierarchical Interpretation of Neural Text Classification.
Comput. Linguistics
Hanqi Yan, Lin Gui, Yulan He
2022 J jnl
Hierarchical Interpretation of Neural Text Classification.
CoRR
Hanqi Yan, Lin Gui, Yulan He
2022 — conf
JointCL: A Joint Contrastive Learning Framework for Zero-Shot Stance Detection.
ACL (1)
Bin Liang, Qinglin Zhu, Xiang Li, Min Yang, Lin Gui, Yulan He, Ruifeng Xu
2022 J jnl
Multi Task Mutual Learning for Joint Sentiment Classification and Topic Detection.
IEEE Trans. Knowl. Data Eng.
Lin Gui, Jia Leng, Jiyun Zhou, Ruifeng Xu, Yulan He
2022 — conf
Multi-Modal Sarcasm Detection via Cross-Modal Graph Convolutional Network.
ACL (1)
Bin Liang, Chenwei Lou, Xiang Li, Min Yang, Lin Gui, Yulan He, Wenjie Pei, Ruifeng Xu
2022 J jnl
Sememe knowledge and auxiliary information enhanced approach for sarcasm detection.
Inf. Process. Manag.
Zhiyuan Wen, Lin Gui, Qianlong Wang, Mingyue Guo, Xiaoqi Yu, Jiachen Du, Ruifeng Xu
2022 A* conf
Zero-Shot Stance Detection via Contrastive Learning.
WWW
Bin Liang, Zixiao Chen, Lin Gui, Yulan He, Min Yang, Ruifeng Xu
2021 — conf
A Disentangled Adversarial Neural Topic Model for Separating Opinions from Plots in User Reviews.
NAACL-HLT
Gabriele Pergola, Lin Gui, Yulan He
2021 A conf
Adversarial Learning of Poisson Factorisation Model for Gauging Brand Sentiment in User Reviews.
EACL
Runcong Zhao, Lin Gui, Gabriele Pergola, Yulan He
2021 J jnl
Adversarial Learning of Poisson Factorisation Model for Gauging Brand Sentiment in User Reviews.
CoRR
Runcong Zhao, Lin Gui, Gabriele Pergola, Yulan He
2021 A* conf
Affective Dependency Graph for Sarcasm Detection.
SIGIR
Chenwei Lou, Bin Liang, Lin Gui, Yulan He, Yixue Dang, Ruifeng Xu
2021 — conf
Beta Distribution Guided Aspect-aware Graph for Aspect Category Sentiment Analysis with Affective Knowledge.
EMNLP (1)
Bin Liang, Hang Su, Rongdi Yin, Lin Gui, Min Yang, Qin Zhao, Xiaoqi Yu, Ruifeng Xu
2021 A conf
Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies.
EACL
Gabriele Pergola, Elena Kochkina, Lin Gui, Maria Liakata, Yulan He
2021 J jnl
Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies.
CoRR
Gabriele Pergola, Elena Kochkina, Lin Gui, Maria Liakata, Yulan He
2021 A conf
Enhancing Aspect-Based Sentiment Analysis with Supervised Contrastive Learning.
CIKM
Bin Liang, Wangda Luo, Xiang Li, Lin Gui, Min Yang, Xiaoqi Yu, Ruifeng Xu
2021 A* conf
Multi-Modal Sarcasm Detection with Interactive In-Modal and Cross-Modal Graphs.
ACM Multimedia
Bin Liang, Chenwei Lou, Xiang Li, Lin Gui, Min Yang, Ruifeng Xu
2021 J jnl
Multi-Task Sequence Tagging for Emotion-Cause Pair Extraction Via Tag Distribution Refinement.
IEEE ACM Trans. Audio Speech Lang. Process.
Chuang Fan, Chaofa Yuan, Lin Gui, Yue Zhang, Ruifeng Xu
2021 — conf
Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction.
ACL/IJCNLP (1)
Hanqi Yan, Lin Gui, Gabriele Pergola, Yulan He
2021 J jnl
Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction.
CoRR
Hanqi Yan, Lin Gui, Gabriele Pergola, Yulan He
2021 A conf
Supervised Contrastive Learning for Multimodal Unreliable News Detection in COVID-19 Pandemic.
CIKM
Wenjia Zhang, Lin Gui, Yulan He
2021 J jnl
Supervised Contrastive Learning for Multimodal Unreliable News Detection in COVID-19 Pandemic.
CoRR
Wenjia Zhang, Lin Gui, Yulan He
2021 A* conf
Target-adaptive Graph for Cross-target Stance Detection.
WWW
Bin Liang, Yonghao Fu, Lin Gui, Min Yang, Jiachen Du, Yulan He, Ruifeng Xu
2021 — conf
Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection.
ACL/IJCNLP (1)
Lixing Zhu, Gabriele Pergola, Lin Gui, Deyu Zhou, Yulan He
2021 J jnl
Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection.
CoRR
Lixing Zhu, Gabriele Pergola, Lin Gui, Deyu Zhou, Yulan He
2021 J jnl
Understanding patient reviews with minimum supervision.
Artif. Intell. Medicine
Lin Gui, Yulan He
2020 J jnl
A Disentangled Adversarial Neural Topic Model for Separating Opinions from Plots in User Reviews.
CoRR
Gabriele Pergola, Lin Gui, Yulan He
2020 A conf
Aspect-invariant Sentiment Features Learning: Adversarial Multi-task Learning for Aspect-based Sentiment Analysis.
CIKM
Bin Liang, Rongdi Yin, Lin Gui, Jiachen Du, Yulan He, Ruifeng Xu
2020 B conf
CHIME: Cross-passage Hierarchical Memory Network for Generative Review Question Answering.
COLING
Junru Lu, Gabriele Pergola, Lin Gui, Binyang Li, Yulan He
2020 J jnl
CHIME: Cross-passage Hierarchical Memory Network for Generative Review Question Answering.
CoRR
Junru Lu, Gabriele Pergola, Lin Gui, Binyang Li, Yulan He
2020 J jnl
Commonsense Knowledge Enhanced Memory Network for Stance Classification.
IEEE Intell. Syst.
Jiachen Du, Lin Gui, Ruifeng Xu, Yunqing Xia, Xuan Wang, Erik Cambria
2020 J jnl
EL_LSTM: Prediction of DNA-Binding Residue from Protein Sequence by Combining Long Short-Term Memory and Ensemble Learning.
IEEE ACM Trans. Comput. Biol. Bioinform.
Jiyun Zhou, Qin Lu, Ruifeng Xu, Lin Gui, Hongpeng Wang
2020 J jnl
Ensemble with estimation: seeking for optimization in class noisy data.
Int. J. Mach. Learn. Cybern.
Ruifeng Xu, Zhiyuan Wen, Lin Gui, Qin Lu, Binyang Li, Xizhao Wang
2020 B conf
Jointly Learning Aspect-Focused and Inter-Aspect Relations with Graph Convolutional Networks for Aspect Sentiment Analysis.
COLING
Bin Liang, Rongdi Yin, Lin Gui, Jiachen Du, Ruifeng Xu
2020 J jnl
Prediction of TF-Binding Site by Inclusion of Higher Order Position Dependencies.
IEEE ACM Trans. Comput. Biol. Bioinform.
Jiyun Zhou, Qin Lu, Ruifeng Xu, Lin Gui, Hongpeng Wang
2020 A* conf
Transition-based Directed Graph Construction for Emotion-Cause Pair Extraction.
ACL
Chuang Fan, Chaofa Yuan, Jiachen Du, Lin Gui, Min Yang, Ruifeng Xu
2019 — conf
A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis.
EMNLP/IJCNLP (1)
Chuang Fan, Hongyu Yan, Jiachen Du, Lin Gui, Lidong Bing, Min Yang, Ruifeng Xu, Ruibin Mao
2019 J jnl
Convolution-Based Neural Attention With Applications to Sentiment Classification.
IEEE Access
Jiachen Du, Lin Gui, Yulan He, Ruifeng Xu, Xuan Wang
2019 J jnl
Inferring user profiles in social media by joint modeling of text and networks.
Sci. China Inf. Sci.
Ruifeng Xu, Jiachen Du, Zhishan Zhao, Yulan He, Qinghong Gao, Lin Gui
2019 J jnl
MTTFsite: cross-cell type TF binding site prediction by using multi-task learning.
Bioinform.
Jiyun Zhou, Qin Lu, Lin Gui, Ruifeng Xu, Yunfei Long, Hongpeng Wang
2019 — conf
Neural Topic Model with Reinforcement Learning.
EMNLP/IJCNLP (1)
Lin Gui, Jia Leng, Gabriele Pergola, Yu Zhou, Ruifeng Xu, Yulan He
2019 J jnl
TDAM: A topic-dependent attention model for sentiment analysis.
Inf. Process. Manag.
Gabriele Pergola, Lin Gui, Yulan He
2019 J jnl
TDAM: a Topic-Dependent Attention Model for Sentiment Analysis.
CoRR
Gabriele Pergola, Lin Gui, Yulan He
2018 — conf
An End-to-End Scalable Iterative Sequence Tagging with Multi-Task Learning.
NLPCC (2)
Lin Gui, Jiachen Du, Zhishan Zhao, Yulan He, Ruifeng Xu, Chuang Fan
2018 A* conf
Convolution-based Memory Network for Aspect-based Sentiment Analysis.
SIGIR
Chuang Fan, Qinghong Gao, Jiachen Du, Lin Gui, Ruifeng Xu, Kam-Fai Wong
2018 J jnl
Negative transfer detection in transductive transfer learning.
Int. J. Mach. Learn. Cybern.
Lin Gui, Ruifeng Xu, Qin Lu, Jiachen Du, Yu Zhou
2017 — conf
A Convolutional Attention Model for Text Classification.
NLPCC
Jiachen Du, Lin Gui, Ruifeng Xu, Yulan He
2017 A* conf
A Question Answering Approach for Emotion Cause Extraction.
EMNLP
Lin Gui, Jiannan Hu, Yulan He, Ruifeng Xu, Qin Lu, Jiachen Du
2017 J jnl
A Question Answering Approach to Emotion Cause Extraction.
CoRR
Lin Gui, Jiannan Hu, Yulan He, Ruifeng Xu, Qin Lu, Jiachen Du
2017 — conf
A Tensor Factorization Based User Influence Analysis Method with Clustering and Temporal Constraint.
NLPCC
Xiangwen Liao, Lingying Zhang, Lin Gui, Kam-Fai Wong, Guolong Chen
2017 — conf
A convolutional attentional neural network for sentiment classification.
SPAC
Jiachen Du, Lin Gui, Yulan He, Ruifeng Xu
2017 — conf
Affective State Prediction of Contextualized Concepts.
AffComp@IJCAI
Minglei Li, Qin Lu, Yunfei Long, Lin Gui
2017 J jnl
Hidden Recursive Neural Network for Sentence Classification.
Res. Comput. Sci.
Minglei Li, Qin Lu, Yunfei Long, Lin Gui
2017 J jnl
Inferring Affective Meanings of Words from Word Embedding.
IEEE Trans. Affect. Comput.
Minglei Li, Qin Lu, Yunfei Long, Lin Gui
2017 — conf
Inferring User Profile Using Microblog Content and Friendship Network.
SMP
Zhishan Zhao, Jiachen Du, Qinghong Gao, Lin Gui, Ruifeng Xu
2017 J jnl
Learning representations from heterogeneous network for sentiment classification of product reviews.
Knowl. Based Syst.
Lin Gui, Yu Zhou, Ruifeng Xu, Yulan He, Qin Lu
2017 — conf
Leveraging Target-Oriented Information for Stance Classification.
CICLing (2)
Jiachen Du, Ruifeng Xu, Lin Gui, Xuan Wang
2017 — conf
Overview of NTCIR-13 ECA Task.
NTCIR
Qinghong Gao, Jiannan Hu, Ruifeng Xu, Lin Gui, Yulan He, Kam-Fai Wong, Qin Lu
2017 J jnl
Prediction of DNA-binding residues from sequence information using convolutional neural network.
Int. J. Data Min. Bioinform.
Jiyun Zhou, Qin Lu, Ruifeng Xu, Lin Gui, Hongpeng Wang
2017 A* conf
Stance Classification with Target-specific Neural Attention.
IJCAI
Jiachen Du, Ruifeng Xu, Yulan He, Lin Gui
2016 Misc conf
A sequence level latent topic modeling method for sentiment analysis via CNN based Diversified Restrict Boltzmann Machine.
ICMLC
Yu Zhou, Ruifeng Xu, Lin Gui
2016 — conf
CNNsite: Prediction of DNA-binding residues in proteins using Convolutional Neural Network with sequence features.
BIBM
Jiyun Zhou, Qin Lu, Ruifeng Xu, Lin Gui, Hongpeng Wang
2016 J jnl
Disease named entity recognition by combining conditional random fields and bidirectional recurrent neural networks.
Database J. Biol. Databases Curation
Qikang Wei, Tao Chen, Ruifeng Xu, Yulan He, Lin Gui
2016 — conf
Emotion Cause Extraction, A Challenging Task with Corpus Construction.
SMP
Lin Gui, Ruifeng Xu, Qin Lu, Dongyin Wu, Yu Zhou
2016 A* conf
Event-Driven Emotion Cause Extraction with Corpus Construction.
EMNLP
Lin Gui, Dongyin Wu, Ruifeng Xu, Qin Lu, Yu Zhou
2016 — conf
Extracting Opinion Expression with Neural Attention.
SMP
Jiachen Du, Lin Gui, Ruifeng Xu
2016 J jnl
Incorporating multi-kernel function and Internet verification for Chinese person name disambiguation.
Frontiers Comput. Sci.
Ruifeng Xu, Lin Gui, Qin Lu, Shuai Wang, Jian Xu
2016 A* conf
Intersubjectivity and Sentiment: From Language to Knowledge.
IJCAI
Lin Gui, Ruifeng Xu, Yulan He, Qin Lu, Zhongyu Wei
2016 — conf
Overview of NLPCC Shared Task 4: Stance Detection in Chinese Microblogs.
NLPCC/ICCPOL
Ruifeng Xu, Yu Zhou, Dongyin Wu, Lin Gui, Jiachen Du, Yun Xue
2016 — conf
Towards Scalable Emotion Classification in Microblog Based on Noisy Training Data.
CCL
Minglei Li, Qin Lu, Lin Gui, Yunfei Long
2015 — conf
A Joint Model for Chinese Microblog Sentiment Analysis.
SIGHAN@IJCNLP
Yuhui Cao, Zhao Chen, Ruifeng Xu, Tao Chen, Lin Gui
2015 A conf
A Novel Class Noise Estimation Method and Application in Classification.
CIKM
Lin Gui, Qin Lu, Ruifeng Xu, Minglei Li, Qikang Wei
2015 J jnl
Cross lingual opinion holder extraction based on multi-kernel SVMs and transfer learning.
World Wide Web
Ruifeng Xu, Lin Gui, Jun Xu, Qin Lu, Kam-Fai Wong
2015 C conf
Improving Transfer Learning in Cross Lingual Opinion Analysis Through Negative Transfer Detection.
KSEM
Lin Gui, Qin Lu, Ruifeng Xu, Qikang Wei, Yuhui Cao
2014 — conf
A Storm-Based Real-Time Micro-Blogging Burst Event Detection System.
ICMLC (CCIS volume)
Yiding Wang, Ruifeng Xu, Bin Liu, Lin Gui, Bin Tang
2014 — conf
Credibility Estimation of Stock Comments Based on Publisher and Information Uncertainty Evaluation.
ICMLC (CCIS volume)
Qiaoyun Qiu, Ruifeng Xu, Bin Liu, Lin Gui, Yu Zhou
2014 — conf
Cross-lingual Opinion Analysis via Negative Transfer Detection.
ACL (2)
Lin Gui, Ruifeng Xu, Qin Lu, Jun Xu, Jian Xu, Bin Liu, Xiaolong Wang
2014 — conf
Emotion Cause Detection with Linguistic Construction in Chinese Weibo Text.
NLPCC
Lin Gui, Li Yuan, Ruifeng Xu, Bin Liu, Qin Lu, Yu Zhou
2014 Misc conf
Financial named entity recognition based on conditional random fields and information entropy.
ICMLC
Shuwei Wang, Ruifeng Xu, Bin Liu, Lin Gui, Yu Zhou
2013 — conf
A Mixed Model for Cross Lingual Opinion Analysis.
NLPCC
Lin Gui, Ruifeng Xu, Jun Xu, Li Yuan, Yuanlin Yao, Jiyun Zhou, Qiaoyun Qiu, Shuwei Wang, Kam-Fai Wong, Ricky Cheung
2013 Misc conf
Burst events detection on micro-blogging.
ICMLC
Chengxiang Liu, Ruifeng Xu, Lin Gui
2012 — conf
Incorporating Rule-based and Statistic-based Techniques for Coreference Resolution.
EMNLP-CoNLL Shared Task
Ruifeng Xu, Jun Xu, Jie Liu, Chengxiang Liu, Chengtian Zou, Lin Gui, Yanzhen Zheng, Peng Qu