Deng, Zhi-Hong

29 publications

ICML 2025 Iterative Vectors: In-Context Gradient Steering Without Backpropagation Yiting Liu, Zhi-Hong Deng

ICML 2025 Mixture of Lookup Experts Shibo Jie, Yehui Tang, Kai Han, Yitong Li, Duyu Tang, Zhi-Hong Deng, Yunhe Wang

ICML 2025 SpeCache: Speculative Key-Value Caching for Efficient Generation of LLMs Shibo Jie, Yehui Tang, Kai Han, Zhi-Hong Deng, Jing Han

ICML 2024 Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning Shibo Jie, Yehui Tang, Ning Ding, Zhi-Hong Deng, Kai Han, Yunhe Wang

ECCV 2024 Token Compensator: Altering Inference Cost of Vision Transformer Without Re-Tuning Shibo Jie, Yehui Tang, Jianyuan Guo, Zhi-Hong Deng, Kai Han, Yunhe Wang

ICLR 2023 Are More Layers Beneficial to Graph Transformers? Haiteng Zhao, Shuming Ma, Dongdong Zhang, Zhi-Hong Deng, Furu Wei

AAAI 2023 FacT: Factor-Tuning for Lightweight Adaptation on Vision Transformer Shibo Jie, Zhi-Hong Deng

CVPR 2023 Masked Image Modeling with Local Multi-Scale Reconstruction Haoqing Wang, Yehui Tang, Yunhe Wang, Jianyuan Guo, Zhi-Hong Deng, Kai Han

ICCV 2023 Revisiting the Parameter Efficiency of Adapters from the Perspective of Precision Redundancy Shibo Jie, Haoqing Wang, Zhi-Hong Deng

CVPRW 2022 Alleviating Representational Shift for Continual Fine-Tuning Shibo Jie, Zhi-Hong Deng, Ziheng Li

ICML 2022 Certified Robustness Against Natural Language Attacks by Causal Intervention Haiteng Zhao, Chang Ma, Xinshuai Dong, Anh Tuan Luu, Zhi-Hong Deng, Hanwang Zhang

ECCV 2022 Contrastive Prototypical Network with Wasserstein Confidence Penalty Haoqing Wang, Zhi-Hong Deng

IJCAI 2022 Domain Adaptation via Maximizing Surrogate Mutual Information Haiteng Zhao, Chang Ma, Qinyu Chen, Zhi-Hong Deng

ICLR 2022 Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning Chenjia Bai, Lingxiao Wang, Zhuoran Yang, Zhi-Hong Deng, Animesh Garg, Peng Liu, Zhaoran Wang

CVPR 2022 Rethinking Minimal Sufficient Representation in Contrastive Learning Haoqing Wang, Xun Guo, Zhi-Hong Deng, Yan Lu

AAAI 2022 Switch-GPT: An Effective Method for Constrained Text Generation Under Few-Shot Settings (Student Abstract) Chang Ma, Song Zhang, Gehui Shen, Zhi-Hong Deng

IJCAI 2021 Cross-Domain Few-Shot Classification via Adversarial Task Augmentation Haoqing Wang, Zhi-Hong Deng

ICLR 2020 Dynamically Pruned Message Passing Networks for Large-Scale Knowledge Graph Reasoning Xiaoran Xu, Wei Feng, Yunsheng Jiang, Xiaohui Xie, Zhiqing Sun, Zhi-Hong Deng

IJCAI 2020 Variational Learning of Bayesian Neural Networks via Bayesian Dark Knowledge Gehui Shen, Xi Chen, Zhi-Hong Deng

AAAI 2019 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

IJCAI 2019 Leap-LSTM: Enhancing Long Short-Term Memory for Text Categorization Ting Huang, Gehui Shen, Zhi-Hong Deng

ICLR 2019 RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, Jian Tang

IJCAI 2017 A Variational Autoencoding Approach for Inducing Cross-Lingual Word Embeddings Liang-Chen Wei, Zhi-Hong Deng

MLJ 2016 A Novel Probabilistic Clustering Model for Heterogeneous Networks Zhi-Hong Deng, Xiaoran Xu

AAAI 2016 Identifying Sentiment Words Using an Optimization Model with L1 Regularization Zhi-Hong Deng, Hongliang Yu, Yunlun Yang

ECML-PKDD 2016 The SPMF Open-Source Data Mining Library Version 2 Philippe Fournier-Viger, Jerry Chun-Wei Lin, Antonio Gomariz, Ted Gueniche, Azadeh Soltani, Zhi-Hong Deng, Hoang Thanh Lam

AAAI 2015 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

AAAI 2015 Multi-Document Summarization Based on Two-Level Sparse Representation Model He Liu, Hongliang Yu, Zhi-Hong Deng

AAAI 2014 A Joint Optimization Model for Image Summarization Based on Image Content and Tags Hongliang Yu, Zhi-Hong Deng, Yunlun Yang, Tao Xiong