Data-Dependency Aware Trust Evaluation for Service Choreography. - Longtao Huang; ShuiGuang Deng; Ying Li 001; Jian Wu 001; Jianwei Yin (ICWS, 2011)

Service Selection for Mobile Service Orchestration. - Longtao Huang; ShuiGuang Deng (IEEE MS, 2014)

Social network-based service recommendation with trust enhancement. - ShuiGuang Deng; Longtao Huang; Guandong Xu (Expert Syst. Appl., 2014)

Trust-Based Personalized Service Recommendation: A Network Perspective. - ShuiGuang Deng; Longtao Huang; Jian Wu 001; Zhaohui Wu 001 (J. Comput. Sci. Technol., 2014)

Deploying Data-Intensive Service Composition with a Negative Selection Algorithm. - ShuiGuang Deng; Longtao Huang; Ying Li 001; Jianwei Yin (Int. J. Web Serv. Res., 2014)

Top-k Automatic Service Composition: A Parallel Method for Large-Scale Service Sets. - ShuiGuang Deng; Longtao Huang; Wei Tan 001; Zhaohui Wu 001 (IEEE Trans Autom. Sci. Eng., 2014)

Computation Offloading for Service Workflow in Mobile Cloud Computing. - ShuiGuang Deng; Longtao Huang; Javid Taheri; Albert Y. Zomaya (IEEE Trans. Parallel Distributed Syst., 2015)

Constraints-Driven Service Composition in Mobile Cloud Computing. - ShuiGuang Deng; Longtao Huang; Hongyue Wu; Zhaohui Wu 001 (ICWS, 2016)

Toward Mobile Service Computing: Opportunities and Challenges. - ShuiGuang Deng; Longtao Huang; Hongyue Wu; Wei Tan 001; Javid Taheri; Albert Y. Zomaya; Zhaohui Wu 001 (IEEE Cloud Comput., 2016)

Toward Risk Reduction for Mobile Service Composition. - ShuiGuang Deng; Longtao Huang; Ying Li 001; Honggeng Zhou; Zhaohui Wu 001; Xiongfei Cao; Mikhail Yu. Kataev; Ling Li 008 (IEEE Trans. Cybern., 2016)

Mobility-Enabled Service Selection for Composite Services. - ShuiGuang Deng; Longtao Huang; Daning Hu; J. Leon Zhao; Zhaohui Wu 001 (IEEE Trans. Serv. Comput., 2016)

KIEM: A Knowledge Graph based Method to Identify Entity Morphs. - Longtao Huang; Lin Zhao; Shangwen Lv; Fangzhou Lu; Yue Zhai; Songlin Hu 001 (CIKM, 2017)

On Deep Learning for Trust-Aware Recommendations in Social Networks. - ShuiGuang Deng; Longtao Huang; Guandong Xu; Xindong Wu 001; Zhaohui Wu 001 (IEEE Trans. Neural Networks Learn. Syst., 2017)

Mobility-Aware Service Composition in Mobile Communities. - ShuiGuang Deng; Longtao Huang; Javid Taheri; Jianwei Yin; MengChu Zhou; Albert Y. Zomaya (IEEE Trans. Syst. Man Cybern. Syst., 2017)

An Interactivity-Based Personalized Mutual Reinforcement Model for Microblog Topic Summarization. - Lu Zhang 038; Liangjun Zang; Longtao Huang; Jizhong Han; Songlin Hu 001 (PRICAI (1), 2018)

A Fresh Look at Understanding News Events Evolution. - Longtao Huang; Shangwen Lv; Liangjun Zang; Yipeng Su; Jizhong Han; Songlin Hu 001 (WWW (Companion Volume), 2018)

Automated Strabismus Detection based on Deep neural networks for Telemedicine Applications. - Zhun Fan; Jiewei Lu; Ce Zheng; Jingan Feng; Longtao Huang; Wenji Li; Erik D. Goodman (CoRR, 2018)

SAM-Net: Integrating Event-Level and Chain-Level Attentions to Predict What Happens Next. - Shangwen Lv; Wanhui Qian; Longtao Huang; Jizhong Han; Songlin Hu 001 (AAAI, 2019)

Event-Oriented Keyphrase Extraction Based on Bi-clustering Model. - Lin Zhao; Liangjun Zang; Longtao Huang; Jizhong Han; Songlin Hu 001 (ICCS (5), 2019)

A Span-based Joint Model for Opinion Target Extraction and Target Sentiment Classification. - Yan Zhou; Longtao Huang; Tao Guo 006; Jizhong Han; Songlin Hu 001 (IJCAI, 2019)

LMLSTM: Extract Event-Oriented Keyphrase From News Stream. - Lin Zhao; Longtao Huang; Liangjun Zang; Jizhong Han; Songlin Hu 001 (IJCNN, 2019)

A Multimodal Text Matching Model for Obfuscated Language Identification in Adversarial Communication? - Longtao Huang; Ting Ma; Junyu Lin; Jizhong Han; Songlin Hu 001 (WWW, 2019)

An Attention-based Model for Joint Extraction of Entities and Relations with Implicit Entity Features. - Yan Zhou; Longtao Huang; Tao Guo 006; Songlin Hu 001; Jizhong Han (WWW (Companion Volume), 2019)

SpanMlt: A Span-based Multi-Task Learning Framework for Pair-wise Aspect and Opinion Terms Extraction. - He Zhao; Longtao Huang; Rong Zhang 006; Quan Lu; Hui Xue 001 (ACL, 2020)

Towards Linking Camouflaged Descriptions to Implicit Products in E-commerce. - Longtao Huang; Bo Yuan; Rong Zhang 006; Quan Lu (SIGIR, 2020)

Yet another approach to understanding news event evolution. - Shangwen Lv; Longtao Huang; Liangjun Zang; Wei Zhou 019; Jizhong Han; Songlin Hu 001 (World Wide Web, 2020)

HiAM: A Hierarchical Attention based Model for knowledge graph multi-hop reasoning. - Ting Ma; Shangwen Lv; Longtao Huang; Songlin Hu 001 (Neural Networks, 2021)

Prototypical Verbalizer for Prompt-based Few-shot Tuning. - Ganqu Cui; Shengding Hu; Ning Ding 002; Longtao Huang; Zhiyuan Liu 001 (ACL (1), 2022)

Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP. - Yangyi Chen; Hongcheng Gao; Ganqu Cui; Fanchao Qi; Longtao Huang; Zhiyuan Liu 001; Maosong Sun 001 (EMNLP, 2022)

Syntax-guided Localized Self-attention by Constituency Syntactic Distance. - Shengyuan Hou; Jushi Kai; Haotian Xue; Bingyu Zhu; Bo Yuan; Longtao Huang; Xinbing Wang; Zhouhan Lin (EMNLP (Findings), 2022)

Multiple Instance Learning for Offensive Language Detection. - Jiexi Liu 005; Dehan Kong; Longtao Huang; Dinghui Mao; Hui Xue 001 (EMNLP (Findings), 2022)

Text Editing as Imitation Game. - Ning Shi; Bin Tang; Bo Yuan; Longtao Huang; Yewen Pu; Jie Fu; Zhouhan Lin (EMNLP (Findings), 2022)

Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation. - Xiaohui Song; Longtao Huang; Hui Xue 001; Songlin Hu 001 (EMNLP, 2022)

Multimodal Knowledge Learning for Named Entity Disambiguation. - Dongjie Zhang; Longtao Huang (EMNLP (Findings), 2022)

Emotionflow: Capture the Dialogue Level Emotion Transitions. - Xiaohui Song; Liangjun Zang; Rong Zhang 006; Songlin Hu 001; Longtao Huang (ICASSP, 2022)

RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on. - Chao Lin; Zhao Li 007; Sheng Zhou 004; Shichang Hu; Jialun Zhang; Linhao Luo; Jiarun Zhang; Longtao Huang; Yuan He (IJCAI, 2022)

From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework. - Yangyi Chen; Hongcheng Gao; Ganqu Cui; Lifan Yuan; Dehan Kong; Hanlu Wu; Ning Shi; Bo Yuan; Longtao Huang; Hui Xue 001; Zhiyuan Liu 001; Maosong Sun 001; et al. (ACL (Findings), 2023)

Decoder Tuning: Efficient Language Understanding as Decoding. - Ganqu Cui; Wentao Li; Ning Ding 002; Longtao Huang; Zhiyuan Liu 001; Maosong Sun 001 (ACL (1), 2023)

Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning. - Ruixiang Tang; Dehan Kong; Longtao Huang; Hui Xue 001 (ACL (Findings), 2023)

Improving Hyper-relational Knowledge Graph Representation with Multi-grained Encoding. - Ting Ma; Longtao Huang; Hui Xue 001 (DASFAA (2), 2023)

Adversarial Text Generation by Search and Learning. - Guoyi Li; Bingkang Shi; Zongzhen Liu; Dehan Kong; Yulei Wu; Xiaodan Zhang 004; Longtao Huang; Honglei Lyu (EMNLP (Findings), 2023)

Hallucination Detection for Generative Large Language Models by Bayesian Sequential Estimation. - Xiaohua Wang; Yuliang Yan; Longtao Huang; Xiaoqing Zheng; Xuanjing Huang 001 (EMNLP, 2023)

Parameter Efficient Multi-task Fine-tuning by Learning to Transfer Token-wise Prompts. - Muling Wu; Wenhao Liu; Jianhan Xu; Changze Lv; Zixuan Ling; Tianlong Li; Longtao Huang; Xiaoqing Zheng; Xuanjing Huang 001 (EMNLP (Findings), 2023)

ContE: contextualized knowledge graph embedding for circular relations. - Ting Ma; Mingming Li; Shangwen Lv; Fuqing Zhu; Longtao Huang; Songlin Hu 001 (Data Min. Knowl. Discov., 2023)

KR-GCN: Knowledge-Aware Reasoning with Graph Convolution Network for Explainable Recommendation. - Ting Ma; Longtao Huang; Qianqian Lu; Songlin Hu 001 (ACM Trans. Inf. Syst., 2023)

On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models. - Dongyang Li; Junbing Yan; Taolin Zhang 001; Chengyu Wang 001; Xiaofeng He; Longtao Huang; Hui Xue 001; Jun Huang 007 (ACL (Short Papers), 2024)

DAFNet: Dynamic Auxiliary Fusion for Sequential Model Editing in Large Language Models. - Taolin Zhang 001; Qizhou Chen; Dongyang Li; Chengyu Wang 001; Xiaofeng He; Longtao Huang; Hui Xue'; Jun Huang 007 (ACL (Findings), 2024)

UniPSDA: Unsupervised Pseudo Semantic Data Augmentation for Zero-Shot Cross-Lingual Natural Language Understanding. - Dongyang Li; Taolin Zhang 001; Jiali Deng; Longtao Huang; Chengyu Wang 001; Xiaofeng He; Hui Xue 001 (LREC/COLING, 2024)

KEHRL: Learning Knowledge-Enhanced Language Representations with Hierarchical Reinforcement Learning. - Dongyang Li; Taolin Zhang 001; Longtao Huang; Chengyu Wang 001; Xiaofeng He; Hui Xue 001 (LREC/COLING, 2024)

TRELM: Towards Robust and Efficient Pre-training for Knowledge-Enhanced Language Models. - Junbing Yan; Chengyu Wang 001; Taolin Zhang 001; Xiaofeng He; Jun Huang 007; Wei Zhang; Longtao Huang; Hui Xue 001 (LREC/COLING, 2024)

R4: Reinforced Retriever-Reorder-Responder for Retrieval-Augmented Large Language Models. - Taolin Zhang 001; Dongyang Li; Qizhou Chen; Chengyu Wang 001; Longtao Huang; Hui Xue 001; Xiaofeng He; Jun Huang 007 (ECAI, 2024)

Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning. - Qizhou Chen; Taolin Zhang 001; Xiaofeng He; Dongyang Li; Chengyu Wang 001; Longtao Huang; Hui Xue' (EMNLP, 2024)

General Phrase Debiaser: Debiasing Masked Language Models at a Multi-Token Level. - Bingkang Shi; Xiaodan Zhang 004; Dehan Kong; Yulei Wu; Zongzhen Liu; Honglei Lyu; Longtao Huang (ICASSP, 2024)

Towards Rehearsal-Free Multilingual ASR: A LoRA-based Case Study on Whisper. - Tianyi Xu; Kaixun Huang; Pengcheng Guo; Yu Zhou; Longtao Huang; Hui Xue; Lei Xie (INTERSPEECH, 2024)

NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise. - Zhonghao Wang 002; Danyu Sun; Sheng Zhou 004; Haobo Wang 001; Jiapei Fan; Longtao Huang; Jiajun Bu (NeurIPS, 2024)

S-Eval: Automatic and Adaptive Test Generation for Benchmarking Safety Evaluation of Large Language Models. - Xiaohan Yuan; Jinfeng Li; Dongxia Wang 002; Yuefeng Chen; Xiaofeng Mao; Longtao Huang; Hui Xue 001; Wenhai Wang; Kui Ren 001; Jingyi Wang 004 (CoRR, 2024)

fairBERTs: Erasing Sensitive Information Through Semantic and Fairness-aware Perturbations. - Jinfeng Li; Yuefeng Chen; Xiangyu Liu; Longtao Huang; Rong Zhang 006; Hui Xue 001 (CoRR, 2024)

Towards Rehearsal-Free Multilingual ASR: A LoRA-based Case Study on Whisper. - Tianyi Xu; Kaixun Huang; Pengcheng Guo; Yu Zhou; Longtao Huang; Hui Xue; Lei Xie 001 (CoRR, 2024)

The Right Time Matters: Data Arrangement Affects Zero-Shot Generalization in Instruction Tuning. - Bingxiang He; Ning Ding 002; Cheng Qian 008; Jia Deng; Ganqu Cui; Lifan Yuan; Haiwen Hong; Huan-ang Gao; Longtao Huang; Hui Xue 001; Huimin Chen; Zhiyuan Liu 001; et al. (ACL (Findings), 2025)

pFedMxF: Personalized Federated Class-Incremental Learning with Mixture of Frequency Aggregation. - Yifei Zhang; Hao Zhu 010; Alysa Ziying Tan; Dianzhi Yu; Longtao Huang; Han Yu 001 (CVPR, 2025)

A New Model for Prototype-based Continual Learning in Hyperspherical Space. - Yixin Ren; Yewei Xia; Li Ke; Longtao Huang; Hui Xue 001; Shuigeng Zhou (ICASSP, 2025)

Correlation-Aware Graph Convolutional Networks for Multi-Label Node Classification. - Yuanchen Bei; Weizhi Chen; Hao Chen 062; Sheng Zhou 004; Carl Ji Yang; Jiapei Fan; Longtao Huang; Jiajun Bu (KDD (1), 2025)

S-Eval: Towards Automated and Comprehensive Safety Evaluation for Large Language Models. - Xiaohan Yuan; Jinfeng Li; Dongxia Wang 002; Yuefeng Chen; Xiaofeng Mao; Longtao Huang; Jialuo Chen; Hui Xue 001; Xiaoxia Liu; Wenhai Wang; Kui Ren 001; Jingyi Wang 004 (Proc. ACM Softw. Eng., 2025)

QExplorer: Large Language Model Based Query Extraction for Toxic Content Exploration. - Shaola Ren; Li Ke; Longtao Huang; Dehong Gao; Hui Xue 001 (CoRR, 2025)

AIR: A Systematic Analysis of Annotations, Instructions, and Response Pairs in Preference Dataset. - Bingxiang He; Wenbin Zhang; Jiaxi Song; Cheng Qian 008; Zixuan Fu; Bowen Sun; Ning Ding 002; Haiwen Hong; Longtao Huang; Hui Xue 001; Ganqu Cui; Wanxiang Che; et al. (CoRR, 2025)

Score-based Generative Modeling for Conditional Independence Testing. - Yixin Ren; Chenghou Jin; Yewei Xia; Li Ke; Longtao Huang; Hui Xue 001; Hao Zhang 079; Jihong Guan; Shuigeng Zhou (CoRR, 2025)

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning. - Chendi Ge; Xin Wang 019; Zeyang Zhang 001; Hong Chen 011; Jiapei Fan; Longtao Huang; Hui Xue 001; Wenwu Zhu 001 (CoRR, 2025)

Generative Video Matting. - Yongtao Ge; Kangyang Xie; Guangkai Xu; Mingyu Liu; Li Ke; Longtao Huang; Hui Xue; Hao Chen 041; Chunhua Shen (CoRR, 2025)

Never Compromise to Vulnerabilities: A Comprehensive Survey on AI Governance. - Yuchu Jiang; Jian Zhao; Yuchen Yuan; Tianle Zhang; Yao Huang; Yanghao Zhang; Yan Wang; Yanshu Li; Xizhong Guo; Yusheng Zhao; Jun Zhang; Zhi Zhang; et al. (CoRR, 2025)

Oblivionis: A Lightweight Learning and Unlearning Framework for Federated Large Language Models. - Fuyao Zhang; Xinyu Yan; Tiantong Wu; Wenjie Li 008; Tianxiang Chen; Yang Cao 011; Ran Yan; Longtao Huang; Wei Yang Bryan Lim; Qiang Yang 001 (CoRR, 2025)