Liang He

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 220

Top Venues

Publications

Xuanwen Ding, Jie Zhou, Liang Dou, Qin Chen, Yuanbin Wu, Chengcai Chen, Liang He
Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis. CoRR (2024)
Zhichao Fu, Xin Li, Tianyu Huai, Weijie Li, Daoguo Dong, Liang He
Robust depth completion based on Semantic Aggregation. Appl. Intell. 54 (5) (2024)
Yuhao Dan, Junfeng Tian, Jie Zhou, Ming Yan, Ji Zhang, Qin Chen, Liang He
Modeling Comparative Logical Relation with Contrastive Learning for Text Generation. CoRR (2024)
Shunyu Liu, Jie Zhou, Qunxi Zhu, Qin Chen, Qingchun Bai, Jun Xiao, Liang He
Let's Rectify Step by Step: Improving Aspect-based Sentiment Analysis with Diffusion Models. LREC/COLING (2024)
Feng Gao, Yan Yang, Peng Gao, Ming Gu, Shangqing Zhao, Yuefeng Chen, Hao Yuan, Man Lan, Aimin Zhou, Liang He
Self-supervised BGP-graph reasoning enhanced complex KBQA via SPARQL generation. Inf. Process. Manag. 61 (5) (2024)
Hao Chen, Biaojie Zeng, Xin Lin, Liang He, Aimin Zhou
DOP: Diagnostic-Oriented Prompting for Large Language Models in Mathematical Correction. CoRR (2024)
Yu Ji, Wen Wu, Yi Hu, Xi Chen, Wenxin Hu, Liang He
Personality-driven experience storage and retrieval for sentiment classification. J. Supercomput. 80 (13) (2024)
Tianyu Huai, Shuwen Yang, Junhang Zhang, Jiabao Zhao, Liang He
Debiased Visual Question Answering via the perspective of question types. Pattern Recognit. Lett. 178 (2024)
Luwei Xiao, Xingjiao Wu, Junjie Xu, Weijie Li, Cheng Jin, Liang He
Atlantis: Aesthetic-oriented multiple granularities fusion network for joint multimodal aspect-based sentiment analysis. Inf. Fusion 106 (2024)
Jianbiao Mei, Yukai Ma, Xuemeng Yang, Licheng Wen, Xinyu Cai, Xin Li, Daocheng Fu, Bo Zhang, Pinlong Cai, Min Dou, Botian Shi, Liang He, Yong Liu, Yu Qiao
Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving. CoRR (2024)
Yuyang Ding, Hanglei Hu, Jie Zhou, Qin Chen, Bo Jiang, Liang He
Boosting Large Language Models with Socratic Method for Conversational Mathematics Teaching. CoRR (2024)
Xingjiao Wu, Luwei Xiao, Xiangcheng Du, Yingbin Zheng, Xin Li, Tianlong Ma, Cheng Jin, Liang He
Cross-domain document layout analysis using document style guide. Expert Syst. Appl. 245 (2024)
Licheng Wen, Daocheng Fu, Xin Li, Xinyu Cai, Tao Ma, Pinlong Cai, Min Dou, Botian Shi, Liang He, Yu Qiao
DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models. ICLR (2024)
Baiyan Zhang, Qin Chen, Jie Zhou, Jian Jin, Liang He
Enhancing Event Causality Identification with Rationale and Structure-Aware Causal Question Answering. CoRR (2024)
Kedi Chen, Jie Zhou, Qin Chen, Shunyu Liu, Liang He
A Regularization-based Transfer Learning Method for Information Extraction via Instructed Graph Decoder. CoRR (2024)
Yanhong Bai, Jiabao Zhao, Tingjiang Wei, Qing Cai, Liang He
A Survey of Explainable Knowledge Tracing. CoRR (2024)
Yiyang Gu, Yougen Zhou, Qin Chen, Ningning Zhou, Jie Zhou, Aimin Zhou, Liang He
Enhancing Depression-Diagnosis-Oriented Chat with Psychological State Tracking. CoRR (2024)
Kedi Chen, Jie Zhou, Qin Chen, Shunyu Liu, Liang He
A Regularization-based Transfer Learning Method for Information Extraction via Instructed Graph Decoder. LREC/COLING (2024)
Xuanwen Ding, Qingshun Wang, Dan Liu, Lihua Xu, Jun Xiao, Bojun Zhang, Xue Li, Liang Dou, Liang He, Tao Xie
FinHunter: Improved Search-Based Test Generation for Structural Testing of FinTech Systems. SIGSOFT FSE Companion (2024)
Yuhao Dan, Jie Zhou, Qin Chen, Junfeng Tian, Liang He
P-Tailor: Customizing Personality Traits for Language Models via Mixture of Specialized LoRA Experts. CoRR (2024)
Zhenxiao Cheng, Jie Zhou, Wen Wu, Qin Chen, Liang He
Learning Intrinsic Dimension via Information Bottleneck for Explainable Aspect-based Sentiment Analysis. LREC/COLING (2024)
Jie Zhou, Yuanbiao Lin, Qin Chen, Qi Zhang, Xuanjing Huang, Liang He
CausalABSC: Causal Inference for Aspect Debiasing in Aspect-Based Sentiment Classification. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Shuwen Yang, Luwei Xiao, Xingjiao Wu, Junjie Xu, Linlin Wang, Liang He
Simple contrastive learning in a self-supervised manner for robust visual question answering. Comput. Vis. Image Underst. 241 (2024)
Zhengjie Huang, Pingsheng Liu, Gerard de Melo, Liang He, Linlin Wang
Generating Persona-Aware Empathetic Responses with Retrieval-Augmented Prompt Learning. ICASSP (2024)
Kedi Chen, Qin Chen, Jie Zhou, Yishen He, Liang He
DiaHalu: A Dialogue-level Hallucination Evaluation Benchmark for Large Language Models. CoRR (2024)
Yutao Yang, Jie Zhou, Xuanwen Ding, Tianyu Huai, Shunyu Liu, Qin Chen, Liang He, Yuan Xie
Recent Advances of Foundation Language Models-based Continual Learning: A Survey. CoRR (2024)
Yanhong Bai, Jiabao Zhao, Tingjiang Wei, Qing Cai, Liang He
A survey of explainable knowledge tracing. Appl. Intell. 54 (8) (2024)
Shunyu Liu, Jie Zhou, Qunxi Zhu, Qin Chen, Qingchun Bai, Jun Xiao, Liang He
Let's Rectify Step by Step: Improving Aspect-based Sentiment Analysis with Diffusion Models. CoRR (2024)
Zhenxiao Cheng, Jie Zhou, Wen Wu, Qin Chen, Liang He
Learning Intrinsic Dimension via Information Bottleneck for Explainable Aspect-based Sentiment Analysis. CoRR (2024)
Yanhong Bai, Jiabao Zhao, Jinxin Shi, Zhentao Xie, Xingjiao Wu, Liang He
FairMonitor: A Dual-framework for Detecting Stereotypes and Biases in Large Language Models. CoRR (2024)
Yuanyuan Mao, Xin Lin, Qin Ni, Liang He
BDIQA: A New Dataset for Video Question Answering to Explore Cognitive Reasoning through Theory of Mind. AAAI (2024)
Lang Yu, Qin Chen, Jie Zhou, Liang He
MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA. AAAI (2024)
Linhao Ye, Zhikai Lei, Jianghao Yin, Qin Chen, Jie Zhou, Liang He
Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Check. SIGIR (2024)
Linhao Ye, Zhikai Lei, Jianghao Yin, Qin Chen, Jie Zhou, Liang He
Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Check. CoRR (2024)
Anran Wu, Luwei Xiao, Xingjiao Wu, Shuwen Yang, Junjie Xu, Zisong Zhuang, Nian Xie, Cheng Jin, Liang He
DCQA: Document-Level Chart Question Answering towards Complex Reasoning and Common-Sense Understanding. CoRR (2023)
Luwei Xiao, Xingjiao Wu, Shuwen Yang, Junjie Xu, Jie Zhou, Liang He
Cross-modal fine-grained alignment and fusion network for multimodal aspect-based sentiment analysis. Inf. Process. Manag. 60 (6) (2023)
Yuling Sun, Xiaojuan Ma, Silvia Lindtner, Liang He
Care Workers' Wellbeing in Data-Driven Healthcare Workplace: Identity, Agency, and Social Justice. Proc. ACM Hum. Comput. Interact. 7 (CSCW2) (2023)
Tao Ma, Xuemeng Yang, Hongbin Zhou, Xin Li, Botian Shi, Junjie Liu, Yuchen Yang, Zhizheng Liu, Liang He, Yu Qiao, Yikang Li, Hongsheng Li
DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds. CoRR (2023)
Jianglin Jin, Jiabo Ye, Xin Lin, Liang He
Pseudo-Query Generation For Semi-Supervised Visual Grounding With Knowledge Distillation. ICASSP (2023)
Tianyu Huai, Shuwen Yang, Junhang Zhang, Guoan Wang, Xinru Yu, Tianlong Ma, Liang He
SQT: Debiased Visual Question Answering via Shuffling Question Types. ICME (2023)
Yuxi Feng, Linlin Wang, Zhu Cao, Liang He
PCDialogEval: Persona and Context Aware Emotional Dialogue Evaluation. ICANN (9) (2023)
Shuwen Yang, Anran Wu, Xingjiao Wu, Luwei Xiao, Tianlong Ma, Cheng Jin, Liang He
Progressive Evidence Refinement for Open-domain Multimodal Retrieval Question Answering. CoRR (2023)
Junhang Zhang, Zisong Zhuang, Luwei Xiao, Xingjiao Wu, Tianlong Ma, Liang He
Dual-Expert Distillation Network for Few-Shot Segmentation. ICME (2023)
Yanhong Bai, Jiabao Zhao, Jinxin Shi, Tingjiang Wei, Xingjiao Wu, Liang He
FairBench: A Four-Stage Automatic Framework for Detecting Stereotypes and Biases in Large Language Models. CoRR (2023)
Xin Li, Tao Ma, Yuenan Hou, Botian Shi, Yuchen Yang, Youquan Liu, Xingjiao Wu, Qin Chen, Yikang Li, Yu Qiao, Liang He
LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross- Modal Fusion. CVPR (2023)
Zhenxiao Cheng, Jie Zhou, Wen Wu, Qin Chen, Liang He
Tell Model Where to Attend: Improving Interpretability of Aspect-Based Sentiment Classification via Small Explanation Annotations. CoRR (2023)
Zefeng Cai, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Xin Alex Lin, Liang He, Daxin Jiang
HypeR: Multitask Hyper-Prompted Training Enables Large-Scale Retrieval Generalization. ICLR (2023)
Yuling Sun, Xiaojuan Ma, Silvia Lindtner, Liang He
Data Work of Frontline Care Workers: Practices, Problems, and Opportunities in the Context of Data-Driven Long-Term Care. Proc. ACM Hum. Comput. Interact. 7 (CSCW1) (2023)
Zhenxiao Cheng, Jie Zhou, Wen Wu, Qin Chen, Liang He
Tell Model Where to Attend: Improving Interpretability of Aspect-Based Sentiment Classification via Small Explanation Annotations. ICASSP (2023)
Xingjiao Wu, Tianlong Ma, Xiangcheng Du, Ziling Hu, Jing Yang, Liang He
DRFN: A unified framework for complex document layout analysis. Inf. Process. Manag. 60 (3) (2023)
Jiayi Chen, Wen Wu, Liye Shi, Wei Zheng, Liang He
Long-tail session-based recommendation from calibration. Appl. Intell. 53 (4) (2023)
Jinxin Shi, Jiabao Zhao, Yilei Wang, Xingjiao Wu, Jiawen Li, Liang He
CGMI: Configurable General Multi-Agent Interaction Framework. CoRR (2023)
Linlin Wang, Zefeng Cai, Gerard de Melo, Zhu Cao, Liang He
Disentangled CVAEs with Contrastive Learning for Explainable Recommendation. AAAI (2023)
Yu Ji, Wen Wu, Yi Hu, Xi Chen, Jiayi Chen, Wenxin Hu, Liang He
Personality-assisted mood modeling with historical reviews for sentiment classification. Inf. Sci. 649 (2023)
Jie Zhou, Junfeng Tian, Rui Wang, Yuanbin Wu, Ming Yan, Liang He, Xuanjing Huang
Multi-modal multi-hop interaction network for dialogue response generation. Expert Syst. Appl. 227 (2023)
Lang Yu, Qin Chen, Jie Zhou, Liang He
MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA. CoRR (2023)
Guangze Ye, Wen Wu, Liye Shi, Wenxin Hu, Xin Chen, Liang He
PEGA: Personality-Guided Preference Aggregator for Ephemeral Group Recommendation. CoRR (2023)
Peng Zhang, Xin Li, Liang He, Xin Lin
3D Multiple Object Tracking on Autonomous Driving: A Literature Review. CoRR (2023)
Liye Shi, Wen Wu, Jiayi Chen, Wenxin Hu, Wei Zheng, Xi Chen, Liang He
SMAR: Summary-Aware Multi-Aspect Recommendation. Neurocomputing 555 (2023)
Lang Yu, Qin Chen, Jiaju Lin, Liang He
Black-box Prompt Tuning for Vision-Language Model as a Service. IJCAI (2023)
Pingsheng Liu, Zhengjie Huang, Xiechi Zhang, Linlin Wang, Gerard de Melo, Xin Lin, Liang Pang, Liang He
A Disentangled-Attention Based Framework with Persona-Aware Prompt Learning for Dialogue Generation. AAAI (2023)
Liye Shi, Wen Wu, Yu Ji, Luping Feng, Liang He
PMAR: Multi-aspect Recommendation Based on Psychological Gap. DASFAA (2) (2022)
Shaobin Chen, Jie Zhou, Yuling Sun, Liang He
An Information Minimization Based Contrastive Learning Model for Unsupervised Sentence Embeddings Learning. COLING (2022)
Zhanyi Chen, Changqun Li, Linlin Wang, Liang He
Abstractive Dialogue Summarization Based on Dynamic Pattern Exploiting Training. IJCNN (2022)
Junjie Xu, Shuwen Yang, Luwei Xiao, Zhichao Fu, Xingjiao Wu, Tianlong Ma, Liang He
Graph Convolution over the Semantic-syntactic Hybrid Graph Enhanced by Affective Knowledge for Aspect-level Sentiment Classification. IJCNN (2022)
Liye Shi, Wen Wu, Wang Guo, Wenxin Hu, Jiayi Chen, Wei Zheng, Liang He
SENGR: Sentiment-Enhanced Neural Graph Recommender. Inf. Sci. 589 (2022)
Qingchun Bai, Jie Zhou, Liang He
PG-RNN: using position-gated recurrent neural networks for aspect-based sentiment classification. J. Supercomput. 78 (3) (2022)
Jiabo Ye, Junfeng Tian, Ming Yan, Xiaoshan Yang, Xuwu Wang, Ji Zhang, Liang He, Xin Lin
Shifting More Attention to Visual Backbone: Query-modulated Refinement Networks for End-to-End Visual Grounding. CVPR (2022)
Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Jun Xiao, Liang He
A Knowledge-Enhanced Adversarial Model for Cross-lingual Structured Sentiment Analysis. CoRR (2022)
Qi Zhang, Jie Zhou, Qin Chen, Qinchun Bai, Liang He
Enhancing Event-Level Sentiment Analysis with Structured Arguments. CoRR (2022)
Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Jun Xiao, Liang He
A Knowledge-Enhanced Adversarial Model for Cross-lingual Structured Sentiment Analysis. IJCNN (2022)
Zhichao Fu, Yingbin Zheng, Tianlong Ma, Hao Ye, Jing Yang, Liang He
Edge-aware deep image deblurring. Neurocomputing 502 (2022)
Luwei Xiao, Xingjiao Wu, Wen Wu, Jing Yang, Liang He
Multi-channel Attentive Graph Convolutional Network With Sentiment Fusion For Multimodal Sentiment Analysis. CoRR (2022)
ZeFeng Cai, Linlin Wang, Gerard de Melo, Fei Sun, Liang He
Multi-Scale Distribution Deep Variational Autoencoder for Explanation Generation. ACL (Findings) (2022)
Zijing Yang, Jiabo Ye, Linlin Wang, Xin Lin, Liang He
Inferring substitutable and complementary products with Knowledge-Aware Path Reasoning based on dynamic policy network. Knowl. Based Syst. 235 (2022)
Jiayi Chen, Wen Wu, Liye Shi, Wei Zheng, Liang He
DACSR: Dual-Aggregation End-to-End Calibrated Sequential Recommendation. CoRR (2022)
Shuwen Yang, Luwei Xiao, Junhang Zhang, Zhichao Fu, Tianlong Ma, Liang He
Depth Completion via A Dual-Fusion Method. ICPR (2022)
Luwei Xiao, Ejian Zhou, Xingjiao Wu, Shuwen Yang, Tianlong Ma, Liang He
Adaptive Multi-Feature Extraction Graph Convolutional Networks for Multimodal Target Sentiment Analysis. ICME (2022)
Changqun Li, Linlin Wang, Xin Lin, Gerard de Melo, Liang He
Curriculum Prompt Learning with Self-Training for Abstractive Dialogue Summarization. EMNLP (2022)
Jiayi Chen, Wen Wu, Liye Shi, Yu Ji, Wenxin Hu, Xi Chen, Xi Zheng, Liang He
C3SASR: Cheap Causal Convolutions for Self-Attentive Sequential Recommendation. CoRR (2022)
Jiaju Lin, Qin Chen, Jie Zhou, Jian Jin, Liang He
CUP: Curriculum Learning based Prompt Tuning for Implicit Event Argument Extraction. CoRR (2022)
Ejian Zhou, Xingjiao Wu, Luwei Xiao, Xiangcheng Du, Tianlong Ma, Liang He
Document Layout Analysis Via Positional Encoding. ICIP (2022)
Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Jun Xiao, Liang He
ECNU_ICA at SemEval-2022 Task 10: A Simple and Unified Model for Monolingual and Crosslingual Structured Sentiment Analysis. SemEval@NAACL (2022)
Junhang Zhang, Zisong Zhuang, Junjie Xu, Tianlong Ma, Liang He
BPGG: Bidirectional Prototype Generation and Guidance Network for Few-Shot Anomaly Localization. ICANN (3) (2022)
Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Liang He
Enhancing Event-Level Sentiment Analysis with Structured Arguments. SIGIR (2022)
Shaobin Chen, Jie Zhou, Yuling Sun, Liang He
An Information Minimization Based Contrastive Learning Model for Unsupervised Sentence Embeddings Learning. CoRR (2022)
Qimin Ban, Wen Wu, Wenxin Hu, Hui Lin, Wei Zheng, Liang He
Knowledge-Enhanced Multi-task Learning for Course Recommendation. DASFAA (2) (2022)
Yuhao Dan, Jie Zhou, Qin Chen, Qingchun Bai, Liang He
Enhancing Class Understanding Via Prompt-Tuning For Zero-Shot Text Classification. ICASSP (2022)
Zisong Zhuang, Junhang Zhang, Luwei Xiao, Tianlong Ma, Liang He
PGTNet: Prototype Guided Transfer Network for Few-Shot Anomaly Localization. ICIP (2022)
Hongyang Zhou, Jiayi Chen, Wen Wu, Wenxin Hu, Wei Zheng, Liang He
Unexp-DIN: Unexpected Deep Interest Network for Recommendation. IJCNN (2022)
Jiabo Ye, Junfeng Tian, Ming Yan, Xiaoshan Yang, Xuwu Wang, Ji Zhang, Liang He, Xin Lin
Shifting More Attention to Visual Backbone: Query-modulated Refinement Networks for End-to-End Visual Grounding. CoRR (2022)
Xingjiao Wu, Luwei Xiao, Yixuan Sun, Junhang Zhang, Tianlong Ma, Liang He
A survey of human-in-the-loop for machine learning. Future Gener. Comput. Syst. 135 (2022)
Luwei Xiao, Xingjiao Wu, Wen Wu, Jing Yang, Liang He
Multi-Channel Attentive Graph Convolutional Network with Sentiment Fusion for Multimodal Sentiment Analysis. ICASSP (2022)
Shuwen Yang, Zhichao Fu, Xingjiao Wu, Xiangcheng Du, Tianlong Ma, Liang He
3D Clues Guided Convolution for Depth Completion. ICIP (2022)
Jiaju Lin, Qin Chen, Jie Zhou, Jian Jin, Liang He
CUP: Curriculum Learning based Prompt Tuning for Implicit Event Argument Extraction. IJCAI (2022)
ZhenDong Tan, Yan Yang, Bo Li, Beilei Wang, Gang Jin, Chengcai Chen, Liang He
Prompt Enhanced Generative MRC Framework for Pancreatic Cancer NER. BIBM (2022)
Yuling Sun, Xiaojuan Ma, Kai Ye, Liang He
Investigating Crowdworkers' Identify, Perception and Practices in Micro-Task Crowdsourcing. Proc. ACM Hum. Comput. Interact. 6 (GROUP) (2022)
Xinghai Zheng, Qimin Ban, Wen Wu, Jiayi Chen, Jun Xiao, Lamei Wang, Wei Zheng, Liang He
Learner Profile based Knowledge Tracing. IJCNN (2022)
Liye Shi, Wen Wu, Wenxin Hu, Jie Zhou, Jiayi Chen, Wei Zheng, Liang He
DualGCN: An Aspect-Aware Dual Graph Convolutional Network for review-based recommender. Knowl. Based Syst. 242 (2022)
Mengwen Liang, Jie Zhou, Yuling Sun, Liang He
Working with Few Samples: Methods that Help Analyze Social Attitude and Personal Emotion. CSCWD (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Liang He