| 2026 | AAAI | Efficient Thought Space Exploration Through Strategic Intervention. | Ziheng Li, Hengyi Cai, Xiaochi Wei, Yuchen Li, Shuaiqiang Wang, Zhi-Hong Deng, Dawei Yin |
| 2026 | AAAI | SDA: Steering-Driven Distribution Alignment for Open LLMs Without Fine-Tuning. | Wei Xia, Zhi-Hong Deng |
| 2025 | ECAI | Keyword-Centric Prompting for One-Shot Event Detection with Self-Generated Rationale Enhancements. | Ziheng Li, Zhi-Hong Deng |
| 2025 | ECAI | Instruction-Based Molecular Graph Generation with Unified Text-Graph Diffusion Model. | Yuran Xiang, Haiteng Zhao, Chang Ma, Zhi-Hong Deng |
| 2025 | ICML | SpeCache: Speculative Key-Value Caching for Efficient Generation of LLMs. | Shibo Jie, Yehui Tang, Kai Han, Zhi-Hong Deng, Jing Han |
| 2025 | ICML | Mixture of Lookup Experts. | Shibo Jie, Yehui Tang, Kai Han, Yitong Li, Duyu Tang, Zhi-Hong Deng, Yunhe Wang |
| 2025 | ICML | Iterative Vectors: In-Context Gradient Steering without Backpropagation. | Yiting Liu, Zhi-Hong Deng |
| 2024 | ECAI | Convolutional Bypasses Are Better Vision Transformer Adapters. | Shibo Jie, Zhi-Hong Deng, Shixuan Chen, Zhijuan Jin |
| 2024 | ECCV | Token Compensator: Altering Inference Cost of Vision Transformer Without Re-tuning. | Shibo Jie, Yehui Tang, Jianyuan Guo, Zhi-Hong Deng, Kai Han, Yunhe Wang |
| 2024 | ICML | Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning. | Shibo Jie, Yehui Tang, Ning Ding, Zhi-Hong Deng, Kai Han, Yunhe Wang |
| 2023 | AAAI | FacT: Factor-Tuning for Lightweight Adaptation on Vision Transformer. | Shibo Jie, Zhi-Hong Deng |
| 2023 | ACL | Dual-Alignment Pre-training for Cross-lingual Sentence Embedding. | Ziheng Li, Shaohan Huang, Zihan Zhang, Zhi-Hong Deng, Qiang Lou, Haizhen Huang, Jian Jiao, Furu Wei, Weiwei Deng, Qi Zhang |
| 2023 | CVPR | Masked Image Modeling with Local Multi-Scale Reconstruction. | Haoqing Wang, Yehui Tang, Yunhe Wang, Jianyuan Guo, Zhi-Hong Deng, Kai Han |
| 2023 | EMNLP | Prefix-Tuning Based Unsupervised Text Style Transfer. | Huiyu Mai, Wenhao Jiang, Zhi-Hong Deng |
| 2023 | ICCV | Revisiting the Parameter Efficiency of Adapters from the Perspective of Precision Redundancy. | Shibo Jie, Haoqing Wang, Zhi-Hong Deng |
| 2023 | ICLR | Are More Layers Beneficial to Graph Transformers? | Haiteng Zhao, Shuming Ma, Dongdong Zhang, Zhi-Hong Deng, Furu Wei |
| 2022 | AAAI | Switch-GPT: An Effective Method for Constrained Text Generation under Few-Shot Settings (Student Abstract). | Chang Ma, Song Zhang, Gehui Shen, Zhi-Hong Deng |
| 2022 | CVPR | Alleviating Representational Shift for Continual Fine-tuning. | Shibo Jie, Zhi-Hong Deng, Ziheng Li |
| 2022 | CVPR | Rethinking Minimal Sufficient Representation in Contrastive Learning. | Haoqing Wang, Xun Guo, Zhi-Hong Deng, Yan Lu |
| 2022 | ECCV | Contrastive Prototypical Network with Wasserstein Confidence Penalty. | Haoqing Wang, Zhi-Hong Deng |
| 2022 | ICLR | Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning. | Chenjia Bai, Lingxiao Wang, Zhuoran Yang, Zhi-Hong Deng, Animesh Garg, Peng Liu, Zhaoran Wang |
| 2022 | ICML | Certified Robustness Against Natural Language Attacks by Causal Intervention. | Haiteng Zhao, Chang Ma, Xinshuai Dong, Anh Tuan Luu, Zhi-Hong Deng, Hanwang Zhang |
| 2022 | IJCAI | Domain Adaptation via Maximizing Surrogate Mutual Information. | Haiteng Zhao, Chang Ma, Qinyu Chen, Zhi-Hong Deng |
| 2021 | IJCAI | Cross-Domain Few-Shot Classification via Adversarial Task Augmentation. | Haoqing Wang, Zhi-Hong Deng |
| 2021 | IJCNN | Generative Feature Replay with Orthogonal Weight Modification for Continual Learning. | Gehui Shen, Song Zhang, Xiang Chen, Zhi-Hong Deng |
| 2020 | ICLR | Dynamically Pruned Message Passing Networks for Large-scale Knowledge Graph Reasoning. | Xiaoran Xu, Wei Feng, Yunsheng Jiang, Xiaohui Xie, Zhiqing Sun, Zhi-Hong Deng |
| 2020 | IJCAI | Variational Learning of Bayesian Neural Networks via Bayesian Dark Knowledge. | Gehui Shen, Xi Chen, Zhi-Hong Deng |
| 2019 | AAAI | DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System. | Zhi-Hong Deng, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu |
| 2019 | ICLR | RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space. | Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, Jian Tang |
| 2019 | IJCAI | Leap-LSTM: Enhancing Long Short-Term Memory for Text Categorization. | Ting Huang, Gehui Shen, Zhi-Hong Deng |
| 2019 | SIGIR | DivGraphPointer: A Graph Pointer Network for Extracting Diverse Keyphrases. | Zhiqing Sun, Jian Tang, Pan Du, Zhi-Hong Deng, Jian-Yun Nie |
| 2018 | COLING | MEMD: A Diversity-Promoting Learning Framework for Short-Text Conversation. | Meng Zou, Xihan Li, Haokun Liu, Zhi-Hong Deng |
| 2018 | EMNLP | Unsupervised Neural Word Segmentation for Chinese via Segmental Language Modeling. | Zhiqing Sun, Zhi-Hong Deng |
| 2017 | EMNLP | Inter-Weighted Alignment Network for Sentence Pair Modeling. | Gehui Shen, Yunlun Yang, Zhi-Hong Deng |
| 2017 | IJCAI | A Variational Autoencoding Approach for Inducing Cross-lingual Word Embeddings. | Liang-Chen Wei, Zhi-Hong Deng |
| 2016 | AAAI | Identifying Sentiment Words Using an Optimization Model with L1 Regularization. | Zhi-Hong Deng, Hongliang Yu, Yunlun Yang |
| 2016 | COLING | An Unsupervised Multi-Document Summarization Framework Based on Neural Document Model. | Shulei Ma, Zhi-Hong Deng, Yunlun Yang |
| 2016 | EMNLP | A Position Encoding Convolutional Neural Network Based on Dependency Tree for Relation Classification. | Yunlun Yang, Yunhai Tong, Shulei Ma, Zhi-Hong Deng |
| 2015 | AAAI | Effectively Predicting Whether and When a Topic Will Become Prevalent in a Social Network. | Weiwei Liu, Zhi-Hong Deng, Xiuwen Gong, Frank Jiang, Ivor W. Tsang |
| 2015 | AAAI | Multi-Document Summarization Based on Two-Level Sparse Representation Model. | He Liu, Hongliang Yu, Zhi-Hong Deng |
| 2015 | EMNLP | JEAM: A Novel Model for Cross-Domain Sentiment Classification Based on Emotion Analysis. | Kun-Hu Luo, Zhi-Hong Deng, Hongliang Yu, Liang-Chen Wei |
| 2014 | AAAI | A Joint Optimization Model for Image Summarization Based on Image Content and Tags. | Hongliang Yu, Zhi-Hong Deng, Yunlun Yang, Tao Xiong |
| 2014 | ACL | A Novel Content Enriching Model for Microblog Using News Corpus. | Yunlun Yang, Zhi-Hong Deng, Hongliang Yu |
| 2013 | ACL | Identifying Sentiment Words Using an Optimization-based Model without Seed Words. | Hongliang Yu, Zhi-Hong Deng, Shiyingxue Li |
| 2013 | WISE | Semantic Inversion in XML Keyword Search with General Conditional Random Fields. | Shu-Han Wang, Zhi-Hong Deng |
| 2012 | APWEB | Guess What I Want: Inferring the Semantics of Keyword Queries Using Evidence Theory. | Jia-Jian Jiang, Zhi-Hong Deng, Ning Gao, Sheng-Long Lv |
| 2012 | CIKM | A novel local patch framework for fixing supervised learning models. | Yilei Wang, Bingzheng Wei, Jun Yan, Yang Hu, Zhi-Hong Deng, Zheng Chen |
| 2011 | ADMA | Fully Utilize Feedbacks: Language Model Based Relevance Feedback in Information Retrieval. | Sheng-Long Lv, Zhi-Hong Deng, Hang Yu, Ning Gao, Jia-Jian Jiang |
| 2011 | ICDM | BibClus: A Clustering Algorithm of Bibliographic Networks by Message Passing on Center Linkage Structure. | Xiaoran Xu, Zhi-Hong Deng |
| 2011 | PAKDD | ListOPT: Learning to Optimize for XML Ranking. | Ning Gao, Zhi-Hong Deng, Hang Yu, Jia-Jian Jiang |
| 2010 | ADMA | An Efficient Algorithm for Mining Erasable Itemsets. | Zhi-Hong Deng, Xiaoran Xu |
| 2010 | ADMA | Tag Recommendation Based on Bayesian Principle. | Zhonghui Wang, Zhi-Hong Deng |
| 2010 | APWEB | Recommended or Not Recommended? Review Classification through Opinion Extraction. | Sheng Feng, Ming Zhang, Yanxing Zhang, Zhi-Hong Deng |
| 2010 | APWEB | Adaptive Top-k Algorithm in SLCA-Based XML Keyword Search. | Hang Yu, Zhi-Hong Deng, Yong-Qing Xiang, Ning Gao, Ming Zhang, Shiwei Tang |
| 2009 | ADMA | Mining Frequent Patterns from Network Data Flow. | Xin Li, Zhi-Hong Deng, Hao Ma, Shi-Wei Tang, Bei Zhang |
| 2009 | APWEB | XTree: A New XML Keyword Retrieval Model. | Cong-Rui Ji, Zhi-Hong Deng, Yong-Qing Xiang, Hang Yu, Shi-Wei Tang |
| 2007 | WWW | A novel clustering-based RSS aggregator. | Xin Li, Jun Yan, Zhi-Hong Deng, Lei Ji, Weiguo Fan, Benyu Zhang, Zheng Chen |
| 2006 | ADMA | A Fast Algorithm for Maintenance of Association Rules in Incremental Databases. | Xin Li, Zhi-Hong Deng, Shiwei Tang |
| 2005 | ADMA | A Non-VSM kNN Algorithm for Text Classification. | Zhi-Hong Deng, Shi-Wei Tang |
| 2005 | CIS | Improving Text Categorization Using the Importance of Words in Different Categories. | Zhi-Hong Deng, Ming Zhang |
| 2005 | PAKDD | Mining Frequent Ordered Patterns. | Zhi-Hong Deng, Cong-Rui Ji, Ming Zhang, Shi-Wei Tang |
| 2004 | APWEB | A Comparative Study on Feature Weight in Text Categorization. | Zhi-Hong Deng, Shiwei Tang, Dongqing Yang, Ming Zhang, Liyu Li, Kunqing Xie |
| 2004 | APWEB | WIEAS: Helping to Discover Web Information Sources and Extract Data from Them. | Liyu Li, Shiwei Tang, Dongqing Yang, Tengjiao Wang, Zhi-Hong Deng, Zhihua Su |
| 2002 | WISE | Two Odds-Radio-Based Text Classification Algorithms. | Zhi-Hong Deng, Shi-Wei Tang, Dongqing Yang, Ming Zhang, Xiao-Bin Wu, Meng Yang |