| 2026 | AAAI | OncoCoT: A Temporal-causal Chain-of-Thought Dataset for Oncologic Decision-Making. | Peiru Yang, Yudong Li, Shiting Wang, Xinyi Liu, Haotian Gan, Xintian Li, Qingyu Gao, Yongfeng Huang |
| 2026 | AAAI | MrM: Black-Box Membership Inference Attacks Against Multimodal RAG Systems. | Peiru Yang, Jinhua Yin, Haoran Zheng, Xueying Bai, Huili Wang, Yufei Sun, Xintian Li, Songwei Pei, Yongfeng Huang, Tao Qi |
| 2026 | AAAI | ShieldRAG: Safeguarding Retrieval-Augmented Generation from Untrusted Knowledge Bases. | Peiru Yang, Haoran Zheng, Yi Luo, Xinyi Liu, Jinrui Wang, Huili Wang, Xintian Li, Yongfeng Huang, Tao Qi |
| 2026 | ACL | SEMA-RAG: A Self-Evolving Multi-Agent Retrieval-Augmented Generation Framework for Medical Reasoning. | Yongfeng Huang, Ruiying Chen, James Cheng |
| 2026 | ACL | Thought-Action Graph Reasoning: Faithful and Efficient Reasoning of Large Language Models via Reusing Past Experience. | Zhixiao Qi, Feng Huang, Yunqi Zhang, Shijie Zhang, Qingqing Sun, Yongfeng Huang, Minghu Jiang, Shuai Chen, Tianyi Zhang |
| 2026 | ACL | Knowledge Poisoning Attacks on Medical Multi-Modal Retrieval-Augmented Generation. | Peiru Yang, Haoran Zheng, Tong Ju, Shiting Wang, Wanchun Ni, Jiajun Liu, Shangguang Wang, Yongfeng Huang, Tao Qi |
| 2025 | AAAI | pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning. | Jiahao Lai, Jiaqi Li, Jian Xu, Yanru Wu, Boshi Tang, Siqi Chen, Yongfeng Huang, Wenbo Ding, Yang Li |
| 2025 | AAAI | Training with "Paraphrasing the Original Text" Teaches LLM to Better Retrieve in Long-Context Tasks. | Yijiong Yu, Yongfeng Huang, Zhixiao Qi, Zhe Zhou |
| 2025 | ACL | Mitigate Position Bias in LLMs via Scaling a Single Hidden States Channel. | Yijiong Yu, Huiqiang Jiang, Xufang Luo, Qianhui Wu, Chin-Yew Lin, Dongsheng Li, Yuqing Yang, Yongfeng Huang, Lili Qiu |
| 2025 | CogSci | Integrating Textual and Emotional Dynamics for Accurate Detection of Mental Health Disorders in Social Media. | Jiajun Zou, Zhixiao Qi, Jinshuai Yang, Zhechen Wei, Congqi Wang, Shizhong Yang, Minghu Jiang, Yongfeng Huang |
| 2025 | COLING | GLoCIM: Global-view Long Chain Interest Modeling for news recommendation. | Zhen Yang, Wenhui Wang, Tao Qi, Peng Zhang, Tianyun Zhang, Ru Zhang, Jianyi Liu, Yongfeng Huang |
| 2025 | EMNLP | Retrieval-Augmented Generation with Hierarchical Knowledge. | Haoyu Huang, Yongfeng Huang, Junjie Yang, Zhenyu Pan, Yongqiang Chen, Kaili Ma, Hongzhi Chen, James Cheng |
| 2025 | EMNLP | Long-context Language Models Fail in Basic Retrieval Tasks Without Sufficient Reasoning Steps. | Yijiong Yu, Zhixiao Qi, Yongfeng Huang, Wei Wang, Weifeng Liu, Ran Chen, Ji Pei |
| 2025 | ICASSP | SCF-Stega: Controllable Linguistic Steganography Based on Semantic Communications Framework. | Yilin Long, Zhongliang Yang, Zhuang Wang, Zhili Zhou, Yongfeng Huang, Linna Zhou |
| 2025 | ICASSP | WinStega: An Adaptive Robust Enhancement Framework for Generative Linguistic Steganography. | Kaiyi Pang, Minhao Bai, Jinshuai Yang, Wei-Qiang Zhang, Minghu Jiang, Yongfeng Huang |
| 2025 | IJCNLP | ProSwitch: Knowledge-Guided Instruction Tuning to Switch Between Professional and Non-Professional Responses. | Chang Zong, Yuyan Chen, Weiming Lu, Jian Shao, Yongfeng Huang, Heng Chang, Yueting Zhuang |
| 2025 | SP | Provably Robust and Secure Steganography in Asymmetric Resource Scenario. | Minhao Bai, Jinshuai Yang, Kaiyi Pang, Xin Xu, Zhen Yang, Yongfeng Huang |
| 2024 | AAAI | Towards the Robustness of Differentially Private Federated Learning. | Tao Qi, Huili Wang, Yongfeng Huang |
| 2024 | ACML | RedditEM: Unveiling Diachronic Semantic Shifts in Social Network Discourse. | Jiajun Zou, Sixing Wu, Jinshuai Yang, Minghu Jiang, Yongfeng Huang |
| 2024 | CogSci | UNIFIT: A Unified Framework For Instruction Tuning To Improve Instruction Following Ability For Large Language Models. | Qiang Huang, Feng Huang, Dehao Tao, Bingkun Wang, Yongfeng Huang |
| 2024 | COLING | KnowVrDU: A Unified Knowledge-aware Prompt-Tuning Framework for Visually-rich Document Understanding. | Yunqi Zhang, Yubo Chen, Jingzhe Zhu, Jinyu Xu, Shuai Yang, Zhaoliang Wu, Liang Huang, Yongfeng Huang, Shuai Chen |
| 2024 | ECAI | SETTP: Style Extraction and Tunable Inference via Dual-Level Transferable Prompt Learning. | Chunzhen Jin, Yongfeng Huang, Yaqi Wang, Peng Cao, Osmar Zaane |
| 2024 | EMNLP | Triad: A Framework Leveraging a Multi-Role LLM-based Agent to Solve Knowledge Base Question Answering. | Chang Zong, Yuchen Yan, Weiming Lu, Jian Shao, Yongfeng Huang, Heng Chang, Yueting Zhuang |
| 2024 | ICASSP | Enhancing Steganography of Generative Image Based on Image Retouching. | Yue Gao, Jinshuai Yang, Cheng Chen, Kaiyi Pang, Yongfeng Huang |
| 2024 | ICASSP | CoQ: AN Empirical Framework for Multi-hop Question Answering Empowered by Large Language Models. | Qiang Huang, Feng Huang, Dehao Tao, Yuetong Zhao, Bingkun Wang, Yongfeng Huang |
| 2024 | ICASSP | FREmax: A Simple Method Towards Truly Secure Generative Linguistic Steganography. | Kaiyi Pang, Minhao Bai, Jinshuai Yang, Huili Wang, Minghu Jiang, Yongfeng Huang |
| 2023 | ACL | MVP-Tuning: Multi-View Knowledge Retrieval with Prompt Tuning for Commonsense Reasoning. | Yongfeng Huang, Yanyang Li, Yichong Xu, Lin Zhang, Ruyi Gan, Jiaxing Zhang, Liwei Wang |
| 2023 | ACL | Solving Math Word Problems via Cooperative Reasoning induced Language Models. | Xinyu Zhu, Junjie Wang, Lin Zhang, Yuxiang Zhang, Yongfeng Huang, Ruyi Gan, Jiaxing Zhang, Yujiu Yang |
| 2023 | ECAI | Specializing Small Language Models Towards Complex Style Transfer via Latent Attribute Pre-Training. | Yongfeng Huang, Xin Chen, Lin Zhang |
| 2023 | EMNLP | CLEVA: Chinese Language Models EVAluation Platform. | Yanyang Li, Jianqiao Zhao, Duo Zheng, Zi-Yuan Hu, Zhi Chen, Xiaohui Su, Yongfeng Huang, Shijia Huang, Dahua Lin, Michael R. Lyu, Liwei Wang |
| 2023 | ICASSP | LINK: Linguistic Steganalysis Framework with External Knowledge. | Jinshuai Yang, Zhongliang Yang, Xinrui Ge, Jiajun Zou, Yue Gao, Yongfeng Huang |
| 2023 | ICDM | Emotion Recognition in Social Network Texts Based on A Multilingual Architecture. | Jiajun Zou, Yexuan Zhang, Jinshuai Yang, Sixing Wu, Minghu Jiang, Yongfeng Huang |
| 2023 | ICONIP | Minimizing Distortion in Steganography via Adaptive Language Model Tuning. | Cheng Chen, Jinshuai Yang, Yue Gao, Huili Wang, Yongfeng Huang |
| 2023 | ICONIP | A Three-Stage Framework for Event-Event Relation Extraction with Large Language Model. | Feng Huang, Qiang Huang, Yuetong Zhao, Zhixiao Qi, Bingkun Wang, Yongfeng Huang, Songbin Li |
| 2023 | ICONIP | CATS: Connection-Aware and Interaction-Based Text Steganalysis in Social Networks. | Kaiyi Pang, Jinshuai Yang, Yue Gao, Minhao Bai, Zhongliang Yang, Minghu Jiang, Yongfeng Huang |
| 2023 | ICONIP | Hi-Stega: A Hierarchical Linguistic Steganography Framework Combining Retrieval and Generation. | Huili Wang, Zhongliang Yang, Jinshuai Yang, Yue Gao, Yongfeng Huang |
| 2023 | IJCAI | FedSampling: A Better Sampling Strategy for Federated Learning. | Tao Qi, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie |
| 2022 | ACL | Learning Reasoning Patterns for Relational Triple Extraction with Mutual Generation of Text and Graph. | Yubo Chen, Yunqi Zhang, Yongfeng Huang |
| 2022 | ACL | NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better. | Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang |
| 2022 | ACL | Two Birds with One Stone: Unified Model Learning for Both Recall and Ranking in News Recommendation. | Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang |
| 2022 | EMNLP | DebiasGAN: Eliminating Position Bias in News Recommendation with Adversarial Learning. | Chuhan Wu, Fangzhao Wu, Xiangnan He, Yongfeng Huang |
| 2022 | EMNLP | RelU-Net: Syntax-aware Graph U-Net for Relational Triple Extraction. | Yunqi Zhang, Yubo Chen, Yongfeng Huang |
| 2022 | IJCAI | Rethinking InfoNCE: How Many Negative Samples Do You Need? | Chuhan Wu, Fangzhao Wu, Yongfeng Huang |
| 2022 | KDD | FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling. | Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie |
| 2022 | WWW | FeedRec: News Feed Recommendation with Various User Feedbacks. | Chuhan Wu, Fangzhao Wu, Tao Qi, Qi Liu, Xuan Tian, Jie Li, Wei He, Yongfeng Huang, Xing Xie |
| 2022 | SIGIR | News Recommendation with Candidate-aware User Modeling. | Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang |
| 2022 | SIGIR | FUM: Fine-grained and Fast User Modeling for News Recommendation. | Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang |
| 2022 | SIGIR | ProFairRec: Provider Fairness-aware News Recommendation. | Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie |
| 2022 | SIGIR | UserBERT: Pre-training User Model with Contrastive Self-supervision. | Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang |
| 2022 | SIGIR | Is News Recommendation a Sequential Recommendation Task? | Chuhan Wu, Fangzhao Wu, Tao Qi, Chenliang Li, Yongfeng Huang |
| 2022 | SIGIR | MM-Rec: Visiolinguistic Model Empowered Multimodal News Recommendation. | Chuhan Wu, Fangzhao Wu, Tao Qi, Chao Zhang, Yongfeng Huang, Tong Xu |
| 2021 | AAAI | Distribution Matching for Rationalization. | Yongfeng Huang, Yujun Chen, Yulun Du, Zhilin Yang |
| 2021 | AAAI | Fairness-aware News Recommendation with Decomposed Adversarial Learning. | Chuhan Wu, Fangzhao Wu, Xiting Wang, Yongfeng Huang, Xing Xie |
| 2021 | ACL | PP-Rec: News Recommendation with Personalized User Interest and Time-aware News Popularity. | Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang |
| 2021 | ACL | HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation. | Tao Qi, Fangzhao Wu, Chuhan Wu, Peiru Yang, Yang Yu, Xing Xie, Yongfeng Huang |
| 2021 | ACL | One Teacher is Enough? Pre-trained Language Model Distillation from Multiple Teachers. | Chuhan Wu, Fangzhao Wu, Yongfeng Huang |
| 2021 | ACL | Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling. | Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang |
| 2021 | ACL | Provably Secure Generative Linguistic Steganography. | Si-yu Zhang, Zhongliang Yang, Jinshuai Yang, Yongfeng Huang |
| 2021 | EMNLP | Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving. | Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie |
| 2021 | EMNLP | NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application. | Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, Qi Liu |
| 2021 | IJCAI | User-as-Graph: User Modeling with Heterogeneous Graph Pooling for News Recommendation. | Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie |
| 2021 | NAACL | Jointly Extracting Explicit and Implicit Relational Triples with Reasoning Pattern Enhanced Binary Pointer Network. | Yubo Chen, Yunqi Zhang, Changran Hu, Yongfeng Huang |
| 2021 | NAACL | DA-Transformer: Distance-aware Transformer. | Chuhan Wu, Fangzhao Wu, Yongfeng Huang |
| 2021 | SIGIR | Personalized News Recommendation with Knowledge-aware Interactive Matching. | Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang |
| 2021 | SIGIR | Empowering News Recommendation with Pre-trained Language Models. | Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang |
| 2020 | ACL | Attentive Pooling with Learnable Norms for Text Representation. | Chuhan Wu, Fangzhao Wu, Tao Qi, Xiaohui Cui, Yongfeng Huang |
| 2020 | ECAI | A Multi-Task Learning Neural Network for Emotion-Cause Pair Extraction. | Sixing Wu, Fang Chen, Fangzhao Wu, Yongfeng Huang, Xing Li |
| 2020 | EMNLP | Privacy-Preserving News Recommendation Model Learning. | Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie |
| 2020 | EMNLP | PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision. | Chuhan Wu, Fangzhao Wu, Tao Qi, Jianxun Lian, Yongfeng Huang, Xing Xie |
| 2020 | HPCC | CBI: A Data Access Control System Based on Cloud and Blockchain Integration. | Shuixiang Li, Ruixuan Li, Yu Zhang, Yongfeng Huang |
| 2020 | ICASSP | FCEM: A Novel Fast Correlation Extract Model For Real Time Steganalysis Of VoIP Stream Via Multi-Head Attention. | Hao Yang, Zhongliang Yang, YongJian Bao, Sheng Liu, Yongfeng Huang |
| 2020 | IJCAI | User Modeling with Click Preference and Reading Satisfaction for News Recommendation. | Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang |
| 2020 | IJCNLP | Named Entity Recognition in Multi-level Contexts. | Yubo Chen, Chuhan Wu, Tao Qi, Zhigang Yuan, Yongfeng Huang |
| 2020 | IJCNLP | SentiRec: Sentiment Diversity-aware Neural News Recommendation. | Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang |
| 2020 | IJCNN | IT-Block: Inverted Triangle Block embedded U-Net for Medical Image Segmentation. | Xueyang Li, Yongfeng Huang, Cairong Yan, Lihao Liu |
| 2020 | IWDW | Improving Text-Image Matching with Adversarial Learning and Circle Loss for Multi-modal Steganography. | Yuting Hu, Han Cao, Zhongliang Yang, Yongfeng Huang |
| 2020 | IWDW | Multi-modal Steganography Based on Semantic Relevancy. | Yuting Hu, Zhongliang Yang, Han Cao, Yongfeng Huang |
| 2020 | IWDW | High-Performance Linguistic Steganalysis, Capacity Estimation and Steganographic Positioning. | Jiajun Zou, Zhongliang Yang, Si-yu Zhang, Sadaqat ur Rehman, Yongfeng Huang |
| 2020 | PAKDD | MIRD-Net for Medical Image Segmentation. | Yongfeng Huang, Xueyang Li, Cairong Yan, Lihao Liu, Hao Dai |
| 2020 | WWW | Graph Enhanced Representation Learning for News Recommendation. | Suyu Ge, Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang |
| 2019 | ACL | Neural News Recommendation with Topic-Aware News Representation. | Chuhan Wu, Fangzhao Wu, Mingxiao An, Yongfeng Huang, Xing Xie |
| 2019 | CIKM | NICE: Neural In-Hospital Cost Estimation from Medical Records. | Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie |
| 2019 | CIKM | Sentiment Lexicon Enhanced Neural Sentiment Classification. | Chuhan Wu, Fangzhao Wu, Junxin Liu, Yongfeng Huang, Xing Xie |
| 2019 | CIKM | ARP: Aspect-aware Neural Review Rating Prediction. | Chuhan Wu, Fangzhao Wu, Junxin Liu, Yongfeng Huang, Xing Xie |
| 2019 | CIKM | Neural Gender Prediction in Microblogging with Emotion-aware User Representation. | Chuhan Wu, Fangzhao Wu, Tao Qi, Junxin Liu, Yongfeng Huang, Xing Xie |
| 2019 | CIKM | Neural Review Rating Prediction with User and Product Memory. | Zhigang Yuan, Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie |
| 2019 | EMNLP | Neural News Recommendation with Heterogeneous User Behavior. | Chuhan Wu, Fangzhao Wu, Mingxiao An, Tao Qi, Jianqiang Huang, Yongfeng Huang, Xing Xie |
| 2019 | EMNLP | Neural News Recommendation with Multi-Head Self-Attention. | Chuhan Wu, Fangzhao Wu, Suyu Ge, Tao Qi, Yongfeng Huang, Xing Xie |
| 2019 | EMNLP | Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network. | Chuhan Wu, Fangzhao Wu, Tao Qi, Suyu Ge, Yongfeng Huang, Xing Xie |
| 2019 | HPCC | Multicast Multipath TCP for Reliable Communication in Wireless Scenarios. | Basharat Ahmad, Adnan Khalid Kiani, Sadaqat ur Rehman, Yongfeng Huang, Zhen Yang |
| 2019 | ICICS | Hierarchical Representation Network for Steganalysis of QIM Steganography in Low-Bit-Rate Speech Signals. | Hao Yang, Zhongliang Yang, Yongjian Bao, Yongfeng Huang |
| 2019 | IJCAI | Neural News Recommendation with Attentive Multi-View Learning. | Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie |
| 2019 | IWDW | Behavioral Security in Covert Communication Systems. | Zhongliang Yang, Yuting Hu, Yongfeng Huang, Yujin Zhang |
| 2019 | IWDW | GAN-TStega: Text Steganography Based on Generative Adversarial Networks. | Zhongliang Yang, Nan Wei, Qinghe Liu, Yongfeng Huang, Yujin Zhang |
| 2019 | IWDW | IStego100K: Large-Scale Image Steganalysis Dataset. | Zhongliang Yang, Ke Wang, Sai Ma, Yongfeng Huang, Xiangui Kang, Xianfeng Zhao |
| 2019 | KDD | NPA: Neural News Recommendation with Personalized Attention. | Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie |
| 2019 | NAACL | Hierarchical User and Item Representation with Three-Tier Attention for Recommendation. | Chuhan Wu, Fangzhao Wu, Junxin Liu, Yongfeng Huang |
| 2019 | PAKDD | Learning a Semantic Space for Modeling Images, Tags and Feelings in Cross-Media Search. | Sadaqat ur Rehman, Yongfeng Huang, Shanshan Tu, Basharat Ahmad |
| 2019 | WWW | Neural Chinese Word Segmentation with Lexicon and Unlabeled Data via Posterior Regularization. | Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie |
| 2019 | WWW | Neural Chinese Named Entity Recognition via CNN-LSTM-CRF and Joint Training with Word Segmentation. | Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie |
| 2019 | WSDM | Neural Demographic Prediction using Search Query. | Chuhan Wu, Fangzhao Wu, Junxin Liu, Shaojian He, Yongfeng Huang, Xing Xie |
| 2019 | WSDM | MSA: Jointly Detecting Drug Name and Adverse Drug Reaction Mentioning Tweets with Multi-Head Self-Attention. | Chuhan Wu, Fangzhao Wu, Zhigang Yuan, Junxin Liu, Yongfeng Huang, Xing Xie |
| 2018 | ICDM | Neural Sentence-Level Sentiment Classification with Heterogeneous Supervision. | Zhigang Yuan, Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie |
| 2018 | TrustCom | Efficient Cross-User Deduplication of Encrypted Data Through Re-Encryption. | Xin Tang, Linna Zhou, Yongfeng Huang, Chin-Chen Chang |
| 2017 | ACL | Active Sentiment Domain Adaptation. | Fangzhao Wu, Yongfeng Huang, Jun Yan |
| 2017 | DASFAA | An Intelligent Field-Aware Factorization Machine Model. | Cairong Yan, Qinglong Zhang, Xue Zhao, Yongfeng Huang |
| 2017 | ICIG | Image Captioning with Object Detection and Localization. | Zhongliang Yang, Yu-Jin Zhang, Sadaqat ur Rehman, Yongfeng Huang |
| 2017 | ICONIP | Measuring Self-monitoring Using Facebook Online Data Based on Snyder's Psychological Theories. | Ying Liu, Yongfeng Huang, Xuanmei Qin |
| 2017 | IJCNLP | THU_NGN at IJCNLP-2017 Task 2: Dimensional Sentiment Analysis for Chinese Phrases with Deep LSTM. | Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Sixing Wu, Zhigang Yuan |
| 2017 | VTC | A New Similarity Computation Method in Collaborative Filtering Based Recommendation System. | Xiaokun Wu, Yongfeng Huang, Shihui Wang |
| 2017 | SIGIR | Sentence-level Sentiment Classification with Weak Supervision. | Fangzhao Wu, Jia Zhang, Zhigang Yuan, Sixing Wu, Yongfeng Huang, Jun Yan |
| 2017 | SecureComm | A Sudoku Matrix-Based Method of Pitch Period Steganography in Low-Rate Speech Coding. | Zhongliang Yang, Xueshun Peng, Yongfeng Huang |
| 2016 | AAAI | Personalized Microblog Sentiment Classification via Multi-Task Learning. | Fangzhao Wu, Yongfeng Huang |
| 2016 | ACL | Sentiment Domain Adaptation with Multiple Sources. | Fangzhao Wu, Yongfeng Huang |
| 2016 | CIKM | Sentiment Domain Adaptation with Multi-Level Contextual Sentiment Knowledge. | Fangzhao Wu, Sixing Wu, Yongfeng Huang, Songfang Huang, Yong Qin |
| 2016 | IWDW | Fragile Watermarking Based Proofs of Retrievability for Archival Cloud Data. | Xin Tang, Yining Qi, Yongfeng Huang |
| 2015 | AAAI | Microblog Sentiment Classification with Contextual Knowledge Regularization. | Fangzhao Wu, Yangqiu Song, Yongfeng Huang |
| 2015 | CIKM | Social Spammer and Spam Message Co-Detection in Microblogging with Social Context Regularization. | Fangzhao Wu, Jinyun Shu, Yongfeng Huang, Zhigang Yuan |
| 2015 | ICDM | Collaborative Multi-domain Sentiment Classification. | Fangzhao Wu, Yongfeng Huang |
| 2014 | CCS | A detection method of subliminal channel based on VoIP communication. | Huaizhou Tao, Donghong Sun, Yongfeng Huang, Ping Hu |
| 2014 | CHI | WADE: simplified GUI add-on development for third-party software. | Xiaojun Meng, Shengdong Zhao, Yongfeng Huang, Zhongyuan Zhang, James Eagan, Ramanathan Subramanian |
| 2014 | ICA3PP | Hmfs: Efficient Support of Small Files Processing over HDFS. | Cairong Yan, Tie Li, Yongfeng Huang, Yanglan Gan |
| 2013 | CIKM | Review rating prediction based on the content and weighting strong social relation of reviewers. | Bing-kun Wang, Yulin Min, Yongfeng Huang, Xing Li, Fangzhao Wu |
| 2013 | CIKM | Lead-lag analysis via sparse co-projection in correlated text streams. | Fangzhao Wu, Yangqiu Song, Shixia Liu, Yongfeng Huang, Zhenyu Liu |
| 2013 | CSCW | Designing an effective vibration-based notification interface for mobile phones. | Bahador Saket, Chrisnawan Prasojo, Yongfeng Huang, Shengdong Zhao |
| 2013 | HealthCom | Medoop: A medical information platform based on Hadoop. | Lijun Wang, Yongfeng Huang, Ji Chen, Ke Zhou, Chun-hua Li |
| 2012 | APNOMS | Event-based estimation of user experience for network video streaming. | Yongfeng Huang, Jin Xiao, James Won-Ki Hong, Ahmed Mehaoua, Raouf Boutaba |
| 2009 | ISCAS | An Adaptive Steganography Scheme for Voice Over IP. | Hui Tian, Ke Zhou, Hong Jiang, Yongfeng Huang, Jin Liu, Dan Feng |
| 2008 | GLOBECOM | An Approach to Information Hiding in Low Bit-Rate Speech Stream. | Bo Xiao, Yongfeng Huang, Shanyu Tang |
| 2008 | ISNN | A Detailed Study on the Modulation of Emotion Processing by Spatial Location. | Baolin Liu, Shuai Xin, Zhixing Jin, Xiaorong Gao, Shangkai Gao, Renxin Chu, Beixing Deng, Yongfeng Huang |
| 2008 | ISNN | The Effect of Task Relevance on Electrophysiological Response to Emotional Stimuli. | Baolin Liu, Shuai Xin, Zhixing Jin, Xiaorong Gao, Shangkai Gao, Renxin Chu, Yongfeng Huang, Beixing Deng |
| 2000 | CATA | Acoustic echo cancellation for digital wireless network. | Yongfeng Huang, Sifa Zhang, Jiangling Zhang |