Yu Zhang

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 104

Top Venues

Publications

Feiyang Ye, Yueming Lyu, Xuehao Wang, Yu Zhang, Ivor W. Tsang
Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning. ICLR (2024)
Feiyang Ye, Baijiong Lin, Xiaofeng Cao, Yu Zhang, Ivor W. Tsang
A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization. CoRR (2024)
Shuai Fu, Xiequn Wang, Qiushi Huang, Yu Zhang
Nemesis: Normalizing the Soft-prompt Vectors of Vision-Language Models. ICLR (2024)
Shuhao Chen, Yulong Zhang, Weisen Jiang, Jiangang Lu, Yu Zhang
Large Language Models as Visual Cross-Domain Learners. CoRR (2024)
Yulong Zhang, Yuan Yao, Shuhao Chen, Pengrong Jin, Yu Zhang, Jian Jin, Jiangang Lu
Rethinking Guidance Information to Utilize Unlabeled Samples: A Label Encoding Perspective. CoRR (2024)
Shujun Yang, Yu Zhang, Yao Ding, Danfeng Hong
Superpixelwise Low-rank Approximation based Partial Label Learning for Hyperspectral Image Classification. CoRR (2024)
Qiushi Huang, Xubo Liu, Tom Ko, Bo Wu, Wenwu Wang, Yu Zhang, Lilian Tang
Selective Prompting Tuning for Personalized Conversations with LLMs. ACL (Findings) (2024)
Feiyang Ye, Baijiong Lin, Zhixiong Yue, Yu Zhang, Ivor W. Tsang
Multi-objective meta-learning. Artif. Intell. 335 (2024)
Xuehao Wang, Feiyang Ye, Yu Zhang
Task-Aware Low-Rank Adaptation of Segment Anything Model. CoRR (2024)
Qiushi Huang, Xubo Liu, Tom Ko, Bo Wu, Wenwu Wang, Yu Zhang, Lilian Tang
Selective Prompting Tuning for Personalized Conversations with LLMs. CoRR (2024)
Weisen Jiang, Han Shi, Longhui Yu, Zhengying Liu, Yu Zhang, Zhenguo Li, James T. Kwok
Forward-Backward Reasoning in Large Language Models for Mathematical Verification. ACL (Findings) (2024)
Baijiong Lin, Weisen Jiang, Pengguang Chen, Yu Zhang, Shu Liu, Ying-Cong Chen
MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based Decoders. CoRR (2024)
Zhili Liu, Yunhao Gou, Kai Chen, Lanqing Hong, Jiahui Gao, Fei Mi, Yu Zhang, Zhenguo Li, Xin Jiang, Qun Liu, James T. Kwok
Mixture of insighTful Experts (MoTE): The Synergy of Thought Chains and Expert Mixtures in Self-Alignment. CoRR (2024)
Yanbin Wei, Qiushi Huang, James T. Kwok, Yu Zhang
KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completion. CoRR (2024)
Yanbin Wei, Shuai Fu, Weisen Jiang, James T. Kwok, Yu Zhang
Rendering Graphs for Graph Reasoning in Multimodal Large Language Models. CoRR (2024)
Yunhao Gou, Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok, Yu Zhang
Eyes Closed, Safety On: Protecting Multimodal LLMs via Image-to-Text Transformation. CoRR (2024)
Qiushi Huang, Shuai Fu, Xubo Liu, Wenwu Wang, Tom Ko, Yu Zhang, Lilian Tang
Learning Retrieval Augmentation for Personalized Dialogue Generation. CoRR (2024)
Qiao Xiao, Yu Zhang, Qiang Yang
Selective Random Walk for Transfer Learning in Heterogeneous Label Spaces. IEEE Trans. Pattern Anal. Mach. Intell. 46 (6) (2024)
Weisen Jiang, Hansi Yang, Yu Zhang, James T. Kwok
An Adaptive Policy to Employ Sharpness-Aware Minimization. ICLR (2023)
Feiyang Ye, Xuehao Wang, Yu Zhang, Ivor W. Tsang
Multi-Task Learning via Time-Aware Neural ODE. IJCAI (2023)
Feiyang Ye, Jianghan Bao, Yu Zhang
Partially-Labeled Domain Generalization via Multi-Dimensional Domain Adaptation. IJCNN (2023)
Xubo Liu, Qiushi Huang, Xinhao Mei, Haohe Liu, Qiuqiang Kong, Jianyuan Sun, Shengchen Li, Tom Ko, Yu Zhang, H. Lilian Tang, Mark D. Plumbley, Volkan Kiliç, Wenwu Wang
Visually-Aware Audio Captioning With Adaptive Audio-Visual Attention. INTERSPEECH (2023)
Qiushi Huang, Shuai Fu, Xubo Liu, Wenwu Wang, Tom Ko, Yu Zhang, Lilian H. Y. Tang
Learning Retrieval Augmentation for Personalized Dialogue Generation. EMNLP (2023)
Yulong Zhang, Shuhao Chen, Weisen Jiang, Yu Zhang, Jiangang Lu, James T. Kwok
Domain-Guided Conditional Diffusion Model for Unsupervised Domain Adaptation. CoRR (2023)
Jinjing Zhu, Feiyang Ye, Qiao Xiao, Pengxin Guo, Yu Zhang, Qiang Yang
A Unified Framework for Unsupervised Domain Adaptation based on Instance Weighting. CoRR (2023)
Yi Zhang, Yu Zhang, Wei Wang
Learning Linear and Nonlinear Low-Rank Structure in Multi-Task Learning. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Yuan Yao, Xutao Li, Yu Zhang, Yunming Ye
Multisource Heterogeneous Domain Adaptation With Conditional Weighting Adversarial Network. IEEE Trans. Neural Networks Learn. Syst. 34 (4) (2023)
Yunhao Gou, Zhili Liu, Kai Chen, Lanqing Hong, Hang Xu, Aoxue Li, Dit-Yan Yeung, James T. Kwok, Yu Zhang
Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning. CoRR (2023)
Xiaojuan Li, Yu Zhang, Zhengyan Zhu, Yuan Yao, Xingshe Zhou
UbiCap: A Capability-based Run-time Model for Heterogeneous Sensors Management in Ubiquitous Operating System. Internetware (2023)
Yanbin Wei, Qiushi Huang, Yu Zhang, James T. Kwok
KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completion. EMNLP (Findings) (2023)
Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James T. Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models. CoRR (2023)
Qiushi Huang, Yu Zhang, Tom Ko, Xubo Liu, Bo Wu, Wenwu Wang, H. Lilian Tang
Personalized Dialogue Generation with Persona-Adaptive Attention. AAAI (2023)
Yunhao Gou, Tom Ko, Hansi Yang, James T. Kwok, Yu Zhang, Mingxuan Wang
Leveraging per Image-Token Consistency for Vision-Language Pre-training. CVPR (2023)
Shujun Yang, Yu Zhang, Yao Ding, Danfeng Hong
Superpixelwise Low-Rank Approximation-Based Partial Label Learning for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
Sicong Liang, Junchao Tian, Shujun Yang, Yu Zhang
Personalized Federated Learning with Local Attention. CoRR (2023)
Baijiong Lin, Yu Zhang
LibMTL: A Python Library for Multi-Task Learning. CoRR (2022)
Yunhao Gou, Tom Ko, Hansi Yang, James Kwok, Yu Zhang, Mingxuan Wang
Leveraging per Image-Token Consistency for Vision-Language Pre-training. CoRR (2022)
Baijiong Lin, Feiyang Ye, Yu Zhang, Ivor Tsang
Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning. Trans. Mach. Learn. Res. 2022 (2022)
Zhixiong Yue, Pengxin Guo, Yu Zhang, Christy Liang
Learning Feature Alignment Architecture for Domain Adaptation. IJCNN (2022)
Qiao Xiao, Boqian Wu, Yu Zhang, Shiwei Liu, Mykola Pechenizkiy, Elena Mocanu, Decebal Constantin Mocanu
Dynamic Sparse Network for Time Series Classification: Learning What to "See". NeurIPS (2022)
Weisen Jiang, James Kwok, Yu Zhang
Subspace Learning for Effective Meta-Learning. ICML (2022)
Zhixiong Yue, Baijiong Lin, Yu Zhang, Christy Liang
Effective, Efficient and Robust Neural Architecture Search. IJCNN (2022)
Yu Zhang, Qiang Yang
A Survey on Multi-Task Learning. IEEE Trans. Knowl. Data Eng. 34 (12) (2022)
Qiao Xiao, Boqian Wu, Yu Zhang, Shiwei Liu, Mykola Pechenizkiy, Elena Mocanu, Decebal Constantin Mocanu
Dynamic Sparse Network for Time Series Classification: Learning What to "see". CoRR (2022)
Wenbo Zhang, Yunhao Gou, Yuepeng Jiang, Yu Zhang
Adversarial VAE with Normalizing Flows for Multi-Dimensional Classification. PRCV (1) (2022)
Wenya Zhu, Yinghua Zhang, Yu Zhang, Yu-Hang Zhou, Yinfu Feng, Yuxiang Wu, Qing Da, Anxiang Zeng
DHA: Product Title Generation with Discriminative Hierarchical Attention for E-commerce. PAKDD (3) (2022)
Shujun Yang, Yu Zhang, Yuheng Jia, Weijia Zhang
Local Low-Rank Approximation With Superpixel-Guided Locality Preserving Graph for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15 (2022)
Jianghan Bao, Yu Zhang
Time-Aware Recommender System via Continuous-Time Modeling. CIKM (2021)
Weisen Jiang, James Kwok, Yu Zhang
Effective Meta-Regularization by Kernelized Proximal Regularization. NeurIPS (2021)
Feiyang Ye, Baijiong Lin, Zhixiong Yue, Pengxin Guo, Qiao Xiao, Yu Zhang
Multi-Objective Meta Learning. NeurIPS (2021)
Ziyang Wang, Yunhao Gou, Jingjing Li, Yu Zhang, Yang Yang
Region Semantically Aligned Network for Zero-Shot Learning. CIKM (2021)
Pengxin Guo, Chang Deng, Linjie Xu, Xiaonan Huang, Yu Zhang
Deep Multi-task Augmented Feature Learning via Hierarchical Graph Neural Network. ECML/PKDD (1) (2021)
Yi Zhang, Yu Zhang, Wei Wang
Multi-Task Learning via Generalized Tensor Trace Norm. KDD (2021)
Sicong Liang, Chang Deng, Yu Zhang
A Simple Approach to Balance Task Loss in Multi-Task Learning. IEEE BigData (2021)
Ziyang Wang, Yunhao Gou, Jingjing Li, Yu Zhang, Yang Yang
Region Semantically Aligned Network for Zero-Shot Learning. CoRR (2021)
Weisen Jiang, Yu Zhang, James T. Kwok
SEEN: Few-Shot Classification with SElf-ENsemble. IJCNN (2021)
Yinghua Zhang, Yu Zhang, Ying Wei, Kun Bai, Yangqiu Song, Qiang Yang
Fisher Deep Domain Adaptation. CoRR (2020)
Yuan Yao, Xutao Li, Yu Zhang, Yunming Ye
Multi-source Heterogeneous Domain Adaptation with Conditional Weighting Adversarial Network. CoRR (2020)
Shuangyin Li, Yu Zhang, Rong Pan, Kaixiang Mo
Adaptive Probabilistic Word Embedding. WWW (2020)
Yuan Yao, Yu Zhang, Xutao Li, Yunming Ye
Discriminative distribution alignment: A unified framework for heterogeneous domain adaptation. Pattern Recognit. 101 (2020)
Pengxin Guo, Chang Deng, Linjie Xu, Xiaonan Huang, Yu Zhang
Deep Multi-Task Augmented Feature Learning via Hierarchical Graph Neural Network. CoRR (2020)
Sicong Liang, Yu Zhang
A Simple General Approach to Balance Task Difficulty in Multi-Task Learning. CoRR (2020)
Yinghua Zhang, Yu Zhang, Ying Wei, Kun Bai, Yangqiu Song, Qiang Yang
Fisher Deep Domain Adaptation. SDM (2020)
Shuangyin Li, Yu Zhang, Rong Pan
Bi-Directional Recurrent Attentional Topic Model. ACM Trans. Knowl. Discov. Data 14 (6) (2020)
Guangneng Hu, Yu Zhang, Qiang Yang
Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text. WWW (2019)
Zheng Li, Ying Wei, Yu Zhang, Xiang Zhang, Xin Li
Exploiting Coarse-to-Fine Task Transfer for Aspect-Level Sentiment Classification. AAAI (2019)
Zheng Li, Xin Li, Ying Wei, Lidong Bing, Yu Zhang, Qiang Yang
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning. EMNLP/IJCNLP (1) (2019)
Yuan Yao, Yu Zhang, Xutao Li, Yunming Ye
Heterogeneous Domain Adaptation via Soft Transfer Network. ACM Multimedia (2019)
Yuan Yao, Xutao Li, Yunming Ye, Feng Liu, Michael K. Ng, Zhichao Huang, Yu Zhang
Low-resolution image categorization via heterogeneous domain adaptation. Knowl. Based Syst. 163 (2019)
Zheng Li, Xin Li, Ying Wei, Lidong Bing, Yu Zhang, Qiang Yang
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning. CoRR (2019)
Yinghua Zhang, Yu Zhang, Qiang Yang
Parameter Transfer Unit for Deep Neural Networks. PAKDD (2) (2019)
Yuan Yao, Yu Zhang, Xutao Li, Yunming Ye
Heterogeneous Domain Adaptation via Soft Transfer Network. CoRR (2019)
Guangneng Hu, Yu Zhang, Qiang Yang
Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text. CoRR (2019)
Ying Wei, Yu Zhang, Junzhou Huang, Qiang Yang
Transfer Learning via Learning to Transfer. ICML (2018)
Zheng Li, Ying Wei, Yu Zhang, Qiang Yang
Hierarchical Attention Transfer Network for Cross-Domain Sentiment Classification. AAAI (2018)
Bo Liu, Ying Wei, Yu Zhang, Zhixian Yan, Qiang Yang
Transferable Contextual Bandit for Cross-Domain Recommendation. AAAI (2018)
Yu Zhang, Ying Wei, Qiang Yang
Learning to Multitask. NeurIPS (2018)
Guangneng Hu, Yu Zhang, Qiang Yang
CoNet: Collaborative Cross Networks for Cross-Domain Recommendation. CIKM (2018)
Kaixiang Mo, Yu Zhang, Qiang Yang, Pascale Fung
Cross-domain Dialogue Policy Transfer via Simultaneous Speech-act and Slot Alignment. CoRR (2018)
Zheng Li, Ying Wei, Yu Zhang, Xiang Zhang, Xin Li, Qiang Yang
Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification. CoRR (2018)
Kaixiang Mo, Yu Zhang, Shuangyin Li, Jiajun Li, Qiang Yang
Personalizing a Dialogue System With Transfer Reinforcement Learning. AAAI (2018)
Yinghua Zhang, Yu Zhang, Qiang Yang
Parameter Transfer Unit for Deep Neural Networks. CoRR (2018)
Guangneng Hu, Yu Zhang, Qiang Yang
CoNet: Collaborative Cross Networks for Cross-Domain Recommendation. UMCit@KDD (2018)
Guangneng Hu, Yu Zhang, Qiang Yang
LCMR: Local and Centralized Memories for Collaborative Filtering with Unstructured Text. CoRR (2018)
Guangneng Hu, Yu Zhang, Qiang Yang
CoNet: Collaborative Cross Networks for Cross-Domain Recommendation. CoRR (2018)
Yu Zhang, Ying Wei, Qiang Yang
Learning to Multitask. CoRR (2018)
Kaixiang Mo, Yu Zhang, Qiang Yang, Pascale Fung
Fine Grained Knowledge Transfer for Personalized Task-oriented Dialogue Systems. CoRR (2017)
Zheng Li, Yu Zhang, Ying Wei, Yuxiang Wu, Qiang Yang
End-to-End Adversarial Memory Network for Cross-domain Sentiment Classification. IJCAI (2017)
Qing Bao, William K. Cheung, Yu Zhang, Jiming Liu
A Component-Based Diffusion Model With Structural Diversity for Social Networks. IEEE Trans. Cybern. 47 (4) (2017)
Weiyan Wang, Yuxiang Wu, Yu Zhang, Zhongqi Lu, Kaixiang Mo, Qiang Yang
Integrating User and Agent Models: A Deep Task-Oriented Dialogue System. CoRR (2017)
Ben Tan, Yu Zhang, Sinno Jialin Pan, Qiang Yang
Distant Domain Transfer Learning. AAAI (2017)
Bo Liu, Ying Wei, Yu Zhang, Qiang Yang
Deep Neural Networks for High Dimension, Low Sample Size Data. IJCAI (2017)
Shuangyin Li, Yu Zhang, Rong Pan, Mingzhi Mao, Yang Yang
Recurrent Attentional Topic Model. AAAI (2017)
Wenya Zhu, Kaixiang Mo, Yu Zhang, Zhangbin Zhu, Xuezheng Peng, Qiang Yang
Flexible End-to-End Dialogue System for Knowledge Grounded Conversation. CoRR (2017)
Yu Zhang, Yuan Jiang
Multimodal Linear Discriminant Analysis via Structural Sparsity. IJCAI (2017)
Yu Zhang, Qiang Yang
Learning Sparse Task Relations in Multi-Task Learning. AAAI (2017)
Ying Wei, Yu Zhang, Qiang Yang
Learning to Transfer. CoRR (2017)
Yu Zhang, Qiang Yang
A Survey on Multi-Task Learning. CoRR (2017)
Lei Han, Yu Zhang, Xiu-Feng Wan, Tong Zhang
Generalized Hierarchical Sparse Model for Arbitrary-Order Interactive Antigenic Sites Identification in Flu Virus Data. KDD (2016)
Lei Han, Yu Zhang
Multi-Stage Multi-Task Learning with Reduced Rank. AAAI (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yu Zhang