Yu Zhang

219 papers A* 62A 15B 5Misc 2Journal 108Unranked 27
YearRankTypeTitle / Venue / Authors
2026 J jnl
Digital Twin AI: Opportunities and Challenges from Large Language Models to World Models.
CoRR
Rong Zhou, Dongping Chen, Zihan Jia, Yao Su, Yixin Liu, Yiwen Lu, Dongwei Shi, Yue Huang, Tianyang Xu, Yi Pan, Xinliang Li, Yohannes Abate, Qingyu Chen, Zhengzhong Tu, Yu Yang, Yu Zhang, Qingsong Wen, Gengchen Mai, Sunyang Fu, Jiachen Li, Xuyu Wang, Ziran Wang, Jing Huang, Tianming Liu, Yong Chen, Lichao Sun, Lifang He
2026 J jnl
Dual-balancing for multi-task learning.
Neural Networks
Baijiong Lin, Weisen Jiang, Feiyang Ye, Yu Zhang, Pengguang Chen, Ying-Cong Chen, Shu Liu, Ivor W. Tsang, James T. Kwok
2026 J jnl
DynamicGTR: Leveraging Graph Topology Representation Preferences to Boost VLM Capabilities on Graph QAs.
CoRR
Yanbin Wei, Jiangyue Yan, Chun Kang, Yang Chen, Hua Liu, James T. Kwok, Yu Zhang
2026 A* conf
Graph2Video: Leveraging Video Models to Model Dynamic Graph Evolution.
AAAI
Hua Liu, Yanbin Wei, Fei Xing, Tyler Derr, Haoyu Han, Yu Zhang
2026 J jnl
Graph2Video: Leveraging Video Models to Model Dynamic Graph Evolution.
CoRR
Hua Liu, Yanbin Wei, Fei Xing, Tyler Derr, Haoyu Han, Yu Zhang
2026 J jnl
Mixture of Cluster-Conditional LoRA Experts for Vision-Language Instruction Tuning.
IEEE Trans. Image Process.
Yunhao Gou, Zhili Liu, Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok, Yu Zhang
2026 J jnl
MoPD: Mixture-of-Prompts Distillation for Vision-Language Models.
IEEE Trans. Multim.
Yang Chen, Shuai Fu, Yu Zhang
2026 J jnl
One-Token Verification for Reasoning Correctness Estimation.
CoRR
Zhan Zhuang, Xiequn Wang, Zebin Chen, Feiyang Ye, Ying Wei, Kede Ma, Yu Zhang
2025 J jnl
A Survey on Post-training of Large Language Models.
CoRR
Guiyao Tie, Zeli Zhao, Dingjie Song, Fuyang Wei, Rong Zhou, Yurou Dai, Wen Yin, Zhejian Yang, Jiangyue Yan, Yao Su, Zhenhan Dai, Yifeng Xie, Yihan Cao, Lichao Sun, Pan Zhou, Lifang He, Hechang Chen, Yu Zhang, Qingsong Wen, Tianming Liu, Neil Zhenqiang Gong, Jiliang Tang, Caiming Xiong, Heng Ji, Philip S. Yu, Jianfeng Gao
2025 J jnl
Agentic Robot: A Brain-Inspired Framework for Vision-Language-Action Models in Embodied Agents.
CoRR
Zhejian Yang, Yongchao Chen, Xueyang Zhou, Jiangyue Yan, Dingjie Song, Yinuo Liu, Yuting Li, Yu Zhang, Pan Zhou, Hechang Chen, Lichao Sun
2025 J jnl
Alternating Training-based Label Smoothing Enhances Prompt Generalization.
CoRR
Yang Chen, Yanbin Wei, Ke Jin, Yi Kong, James T. Kwok, Yu Zhang
2025 A* conf
ComLoRA: A Competitive Learning Approach for Enhancing LoRA.
ICLR
Qiushi Huang, Tom Ko, Lilian Tang, Yu Zhang
2025 A* conf
Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation.
ICML
Zhan Zhuang, Xiequn Wang, Wei Li, Yulong Zhang, Qiushi Huang, Shuhao Chen, Xuehao Wang, Yanbin Wei, Yuhe Nie, Kede Ma, Yu Zhang, Ying Wei
2025 J jnl
Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation.
CoRR
Zhan Zhuang, Xiequn Wang, Wei Li, Yulong Zhang, Qiushi Huang, Shuhao Chen, Xuehao Wang, Yanbin Wei, Yuhe Nie, Kede Ma, Yu Zhang, Ying Wei
2025 J jnl
Corrupted but Not Broken: Rethinking the Impact of Corrupted Data in Visual Instruction Tuning.
CoRR
Yunhao Gou, Hansi Yang, Zhili Liu, Kai Chen, Yihan Zeng, Lanqing Hong, Zhenguo Li, Qun Liu, James T. Kwok, Yu Zhang
2025 A* conf
Corrupted but Not Broken: Understanding and Mitigating the Negative Impacts of Corrupted Data in Visual Instruction Tuning.
EMNLP
Yunhao Gou, Hansi Yang, Zhili Liu, Kai Chen, Yihan Zeng, Lanqing Hong, Zhenguo Li, Qun Liu, Bo Han, James Kwok, Yu Zhang
2025 J jnl
Domain-guided conditional diffusion model for unsupervised domain adaptation.
Neural Networks
Yulong Zhang, Shuhao Chen, Weisen Jiang, Yu Zhang, Jiangang Lu, James T. Kwok
2025 J jnl
DynamicMind: A Tri-Mode Thinking System for Large Language Models.
CoRR
Wei Li, Yanbin Wei, Qiushi Huang, Jiangyue Yan, Yang Chen, James T. Kwok, Yu Zhang
2025 J jnl
Harnessing Adaptive Topology Representations for Zero-Shot Graph Question Answering.
CoRR
Yanbin Wei, Jiangyue Yan, Chun Kang, Yang Chen, Hua Liu, James T. Kwok, Yu Zhang
2025 A* conf
HiRA: Parameter-Efficient Hadamard High-Rank Adaptation for Large Language Models.
ICLR
Qiushi Huang, Tom Ko, Zhan Zhuang, Lilian Tang, Yu Zhang
2025 A* conf
MTSAM: Multi-Task Fine-Tuning for Segment Anything Model.
ICLR
Xuehao Wang, Zhan Zhuang, Feiyang Ye, Yu Zhang
2025 — conf
Mixture of insighTful Experts (MoTE): The Synergy of Reasoning Chains and Expert Mixtures in Self-Alignment.
ACL (1)
Zhili Liu, Yunhao Gou, Kai Chen, Lanqing Hong, Jiahui Gao, Fei Mi, Yu Zhang, Zhenguo Li, Xin Jiang, Qun Liu, James T. Kwok
2025 J jnl
Online Test-Time Adaptation of Spatial-Temporal Traffic Flow Forecasting.
IEEE Trans. Intell. Transp. Syst.
Pengxin Guo, Pengrong Jin, Ziyue Li, Lei Bai, Yu Zhang
2025 A* conf
Open Your Eyes: Vision Enhances Message Passing Neural Networks in Link Prediction.
ICML
Yanbin Wei, Xuehao Wang, Zhan Zhuang, Yang Chen, Shuhao Chen, Yulong Zhang, James T. Kwok, Yu Zhang
2025 J jnl
Open the Eyes of MPNN: Vision Enhances MPNN in Link Prediction.
CoRR
Yanbin Wei, Xuehao Wang, Zhan Zhuang, Yang Chen, Shuhao Chen, Yulong Zhang, Yu Zhang, James T. Kwok
2025 A* conf
Sharpness-Aware Black-Box Optimization.
ICLR
Feiyang Ye, Yueming Lyu, Xuehao Wang, Masashi Sugiyama, Yu Zhang, Ivor W. Tsang
2024 A conf
A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization.
ECAI
Feiyang Ye, Baijiong Lin, Xiaofeng Cao, Yu Zhang, Ivor W. Tsang
2024 J jnl
A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization.
CoRR
Feiyang Ye, Baijiong Lin, Xiaofeng Cao, Yu Zhang, Ivor W. Tsang
2024 J jnl
A Versatile Framework for Unsupervised Domain Adaptation Based on Instance Weighting.
IEEE Trans. Image Process.
Jinjing Zhu, Feiyang Ye, Qiao Xiao, Pengxin Guo, Yu Zhang, Qiang Yang
2024 A* conf
Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning.
ICLR
Feiyang Ye, Yueming Lyu, Xuehao Wang, Yu Zhang, Ivor W. Tsang
2024 — conf
Enhancing Sharpness-Aware Minimization by Learning Perturbation Radius.
ECML/PKDD (2)
Xuehao Wang, Weisen Jiang, Shuai Fu, Yu Zhang
2024 J jnl
Enhancing Sharpness-Aware Minimization by Learning Perturbation Radius.
CoRR
Xuehao Wang, Weisen Jiang, Shuai Fu, Yu Zhang
2024 J jnl
Eyes Closed, Safety On: Protecting Multimodal LLMs via Image-to-Text Transformation.
CoRR
Yunhao Gou, Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok, Yu Zhang
2024 — conf
Eyes Closed, Safety on: Protecting Multimodal LLMs via Image-to-Text Transformation.
ECCV (17)
Yunhao Gou, Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok, Yu Zhang
2024 — conf
Forward-Backward Reasoning in Large Language Models for Mathematical Verification.
ACL (Findings)
Weisen Jiang, Han Shi, Longhui Yu, Zhengying Liu, Yu Zhang, Zhenguo Li, James T. Kwok
2024 A* conf
GITA: Graph to Visual and Textual Integration for Vision-Language Graph Reasoning.
NeurIPS
Yanbin Wei, Shuai Fu, Weisen Jiang, Zejian Zhang, Zhixiong Zeng, Qi Wu, James T. Kwok, Yu Zhang
2024 J jnl
KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completion.
CoRR
Yanbin Wei, Qiushi Huang, James T. Kwok, Yu Zhang
2024 J jnl
Large Language Models as Visual Cross-Domain Learners.
CoRR
Shuhao Chen, Yulong Zhang, Weisen Jiang, Jiangang Lu, Yu Zhang
2024 J jnl
Learning Retrieval Augmentation for Personalized Dialogue Generation.
CoRR
Qiushi Huang, Shuai Fu, Xubo Liu, Wenwu Wang, Tom Ko, Yu Zhang, Lilian Tang
2024 J jnl
MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based Decoders.
CoRR
Baijiong Lin, Weisen Jiang, Pengguang Chen, Yu Zhang, Shu Liu, Ying-Cong Chen
2024 — conf
MTMamba: Enhancing Multi-task Dense Scene Understanding by Mamba-Based Decoders.
ECCV (70)
Baijiong Lin, Weisen Jiang, Pengguang Chen, Yu Zhang, Shu Liu, Ying-Cong Chen
2024 A* conf
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models.
ICLR
Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James T. Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu
2024 J jnl
Mixture of insighTful Experts (MoTE): The Synergy of Thought Chains and Expert Mixtures in Self-Alignment.
CoRR
Zhili Liu, Yunhao Gou, Kai Chen, Lanqing Hong, Jiahui Gao, Fei Mi, Yu Zhang, Zhenguo Li, Xin Jiang, Qun Liu, James T. Kwok
2024 J jnl
MoPD: Mixture-of-Prompts Distillation for Vision-Language Models.
CoRR
Yang Chen, Shuai Fu, Yu Zhang
2024 J jnl
Multi-Task Learning in Natural Language Processing: An Overview.
ACM Comput. Surv.
Shijie Chen, Yu Zhang, Qiang Yang
2024 J jnl
Multi-objective meta-learning.
Artif. Intell.
Feiyang Ye, Baijiong Lin, Zhixiong Yue, Yu Zhang, Ivor W. Tsang
2024 A* conf
Nemesis: Normalizing the Soft-prompt Vectors of Vision-Language Models.
ICLR
Shuai Fu, Xiequn Wang, Qiushi Huang, Yu Zhang
2024 J jnl
Nemesis: Normalizing the Soft-prompt Vectors of Vision-Language Models.
CoRR
Shuai Fu, Xiequn Wang, Qiushi Huang, Yu Zhang
2024 J jnl
Online Test-Time Adaptation of Spatial-Temporal Traffic Flow Forecasting.
CoRR
Pengxin Guo, Pengrong Jin, Ziyue Li, Lei Bai, Yu Zhang
2024 J jnl
Rendering Graphs for Graph Reasoning in Multimodal Large Language Models.
CoRR
Yanbin Wei, Shuai Fu, Weisen Jiang, James T. Kwok, Yu Zhang
2024 A* conf
Rethinking Guidance Information to Utilize Unlabeled Samples: A Label Encoding Perspective.
ICML
Yulong Zhang, Yuan Yao, Shuhao Chen, Pengrong Jin, Yu Zhang, Jian Jin, Jiangang Lu
2024 J jnl
Rethinking Guidance Information to Utilize Unlabeled Samples: A Label Encoding Perspective.
CoRR
Yulong Zhang, Yuan Yao, Shuhao Chen, Pengrong Jin, Yu Zhang, Jian Jin, Jiangang Lu
2024 A* conf
RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models.
NeurIPS
Shuhao Chen, Weisen Jiang, Baijiong Lin, James T. Kwok, Yu Zhang
2024 J jnl
RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models.
CoRR
Shuhao Chen, Weisen Jiang, Baijiong Lin, James T. Kwok, Yu Zhang
2024 — conf
Selective Prompting Tuning for Personalized Conversations with LLMs.
ACL (Findings)
Qiushi Huang, Xubo Liu, Tom Ko, Bo Wu, Wenwu Wang, Yu Zhang, Lilian Tang
2024 J jnl
Selective Prompting Tuning for Personalized Conversations with LLMs.
CoRR
Qiushi Huang, Xubo Liu, Tom Ko, Bo Wu, Wenwu Wang, Yu Zhang, Lilian Tang
2024 J jnl
Selective Random Walk for Transfer Learning in Heterogeneous Label Spaces.
IEEE Trans. Pattern Anal. Mach. Intell.
Qiao Xiao, Yu Zhang, Qiang Yang
2024 J jnl
Sharpness-Aware Black-Box Optimization.
CoRR
Feiyang Ye, Yueming Lyu, Xuehao Wang, Masashi Sugiyama, Yu Zhang, Ivor W. Tsang
2024 J jnl
Superpixelwise Low-rank Approximation based Partial Label Learning for Hyperspectral Image Classification.
CoRR
Shujun Yang, Yu Zhang, Yao Ding, Danfeng Hong
2024 J jnl
Task-Aware Low-Rank Adaptation of Segment Anything Model.
CoRR
Xuehao Wang, Feiyang Ye, Yu Zhang
2024 A* conf
Time-Varying LoRA: Towards Effective Cross-Domain Fine-Tuning of Diffusion Models.
NeurIPS
Zhan Zhuang, Yulong Zhang, Xuehao Wang, Jiangang Lu, Ying Wei, Yu Zhang
2023 J jnl
A Scale-Invariant Task Balancing Approach for Multi-Task Learning.
CoRR
Baijiong Lin, Weisen Jiang, Feiyang Ye, Yu Zhang, Pengguang Chen, Ying-Cong Chen, Shu Liu
2023 J jnl
A Unified Framework for Unsupervised Domain Adaptation based on Instance Weighting.
CoRR
Jinjing Zhu, Feiyang Ye, Qiao Xiao, Pengxin Guo, Yu Zhang, Qiang Yang
2023 A* conf
An Adaptive Policy to Employ Sharpness-Aware Minimization.
ICLR
Weisen Jiang, Hansi Yang, Yu Zhang, James T. Kwok
2023 J jnl
An Adaptive Policy to Employ Sharpness-Aware Minimization.
CoRR
Weisen Jiang, Hansi Yang, Yu Zhang, James T. Kwok
2023 J jnl
Diffusion-based Target Sampler for Unsupervised Domain Adaptation.
CoRR
Yulong Zhang, Shuhao Chen, Yu Zhang, Jiangang Lu
2023 J jnl
Domain-Guided Conditional Diffusion Model for Unsupervised Domain Adaptation.
CoRR
Yulong Zhang, Shuhao Chen, Weisen Jiang, Yu Zhang, Jiangang Lu, James T. Kwok
2023 B conf
Dual-Path Side Information Fusion for Sequential Recommendation.
IEEE Big Data
Yu Zhang, Haiwei Pan, Kejia Zhang, Tianming Zhang, Qingquan Ren, Wenjie Li
2023 A* conf
Effective Structured Prompting by Meta-Learning and Representative Verbalizer.
ICML
Weisen Jiang, Yu Zhang, James T. Kwok
2023 J jnl
Effective Structured Prompting by Meta-Learning and Representative Verbalizer.
CoRR
Weisen Jiang, Yu Zhang, James T. Kwok
2023 J jnl
Effective and Parameter-Efficient Reusing Fine-Tuned Models.
CoRR
Weisen Jiang, Baijiong Lin, Han Shi, Yu Zhang, Zhenguo Li, James T. Kwok
2023 J jnl
Forward-Backward Reasoning in Large Language Models for Verification.
CoRR
Weisen Jiang, Han Shi, Longhui Yu, Zhengying Liu, Yu Zhang, Zhenguo Li, James T. Kwok
2023 — conf
KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completion.
EMNLP (Findings)
Yanbin Wei, Qiushi Huang, Yu Zhang, James T. Kwok
2023 J jnl
Learning Linear and Nonlinear Low-Rank Structure in Multi-Task Learning.
IEEE Trans. Knowl. Data Eng.
Yi Zhang, Yu Zhang, Wei Wang
2023 A* conf
Learning Retrieval Augmentation for Personalized Dialogue Generation.
EMNLP
Qiushi Huang, Shuai Fu, Xubo Liu, Wenwu Wang, Tom Ko, Yu Zhang, Lilian Tang
2023 A* conf
Leveraging per Image-Token Consistency for Vision-Language Pre-training.
CVPR
Yunhao Gou, Tom Ko, Hansi Yang, James T. Kwok, Yu Zhang, Mingxuan Wang
2023 J jnl
LibMTL: A Python Library for Deep Multi-Task Learning.
J. Mach. Learn. Res.
Baijiong Lin, Yu Zhang
2023 J jnl
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models.
CoRR
Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James T. Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu
2023 J jnl
Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning.
CoRR
Yunhao Gou, Zhili Liu, Kai Chen, Lanqing Hong, Hang Xu, Aoxue Li, Dit-Yan Yeung, James T. Kwok, Yu Zhang
2023 A* conf
Multi-Task Learning via Time-Aware Neural ODE.
IJCAI
Feiyang Ye, Xuehao Wang, Yu Zhang, Ivor W. Tsang
2023 J jnl
Multisource Heterogeneous Domain Adaptation With Conditional Weighting Adversarial Network.
IEEE Trans. Neural Networks Learn. Syst.
Yuan Yao, Xutao Li, Yu Zhang, Yunming Ye
2023 B conf
Partially-Labeled Domain Generalization via Multi-Dimensional Domain Adaptation.
IJCNN
Feiyang Ye, Jianghan Bao, Yu Zhang
2023 A* conf
Personalized Dialogue Generation with Persona-Adaptive Attention.
AAAI
Qiushi Huang, Yu Zhang, Tom Ko, Xubo Liu, Bo Wu, Wenwu Wang, H. Lilian Tang
2023 J jnl
Superpixelwise Low-Rank Approximation-Based Partial Label Learning for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett.
Shujun Yang, Yu Zhang, Yao Ding, Danfeng Hong
2023 — conf
Unsupervised Domain Adaptation via Bidirectional Cross-Attention Transformer.
ECML/PKDD (5)
Xiyu Wang, Pengxin Guo, Yu Zhang
2023 A conf
Visually-Aware Audio Captioning With Adaptive Audio-Visual Attention.
INTERSPEECH
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
2022 A conf
A Study of Modeling Rising Intonation in Cantonese Neural Speech Synthesis.
INTERSPEECH
Qibing Bai, Tom Ko, Yu Zhang
2022 J jnl
A Study of Modeling Rising Intonation in Cantonese Neural Speech Synthesis.
CoRR
Qibing Bai, Tom Ko, Yu Zhang
2022 J jnl
A Survey on Multi-Task Learning.
IEEE Trans. Knowl. Data Eng.
Yu Zhang, Qiang Yang
2022 J jnl
A context-enhanced sentence representation learning method for close domains with topic modeling.
Inf. Sci.
Shuangyin Li, Weiwei Chen, Yu Zhang, Gansen Zhao, Rong Pan, Zhenhua Huang, Yong Tang
2022 — conf
Adversarial VAE with Normalizing Flows for Multi-Dimensional Classification.
PRCV (1)
Wenbo Zhang, Yunhao Gou, Yuepeng Jiang, Yu Zhang
2022 — conf
DHA: Product Title Generation with Discriminative Hierarchical Attention for E-commerce.
PAKDD (3)
Wenya Zhu, Yinghua Zhang, Yu Zhang, Yu-Hang Zhou, Yinfu Feng, Yuxiang Wu, Qing Da, Anxiang Zeng
2022 — conf
Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering.
EMNLP (Findings)
Juan Zha, Zheng Li, Ying Wei, Yu Zhang
2022 J jnl
Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering.
CoRR
Juan Zha, Zheng Li, Ying Wei, Yu Zhang
2022 J jnl
Domain Adaptation via Bidirectional Cross-Attention Transformer.
CoRR
Xiyu Wang, Pengxin Guo, Yu Zhang
2022 A* conf
Dynamic Sparse Network for Time Series Classification: Learning What to "See".
NeurIPS
Qiao Xiao, Boqian Wu, Yu Zhang, Shiwei Liu, Mykola Pechenizkiy, Elena Mocanu, Decebal Constantin Mocanu
2022 J jnl
Dynamic Sparse Network for Time Series Classification: Learning What to "see".
CoRR
Qiao Xiao, Boqian Wu, Yu Zhang, Shiwei Liu, Mykola Pechenizkiy, Elena Mocanu, Decebal Constantin Mocanu
2022 B conf
Effective, Efficient and Robust Neural Architecture Search.
IJCNN
Zhixiong Yue, Baijiong Lin, Yu Zhang, Christy Jie Liang
2022 Misc conf
Exploring Machine Speech Chain For Domain Adaptation.
ICASSP
Fengpeng Yue, Yan Deng, Lei He, Tom Ko, Yu Zhang
2022 B conf
Learning Feature Alignment Architecture for Domain Adaptation.
IJCNN
Zhixiong Yue, Pengxin Guo, Yu Zhang, Christy Jie Liang
2022 A conf
Leveraging Pseudo-labeled Data to Improve Direct Speech-to-Speech Translation.
INTERSPEECH
Qianqian Dong, Fengpeng Yue, Tom Ko, Mingxuan Wang, Qibing Bai, Yu Zhang
2022 J jnl
Leveraging Pseudo-labeled Data to Improve Direct Speech-to-Speech Translation.
CoRR
Qianqian Dong, Fengpeng Yue, Tom Ko, Mingxuan Wang, Qibing Bai, Yu Zhang
2022 J jnl
Leveraging per Image-Token Consistency for Vision-Language Pre-training.
CoRR
Yunhao Gou, Tom Ko, Hansi Yang, James T. Kwok, Yu Zhang, Mingxuan Wang
2022 J jnl
LibMTL: A Python Library for Multi-Task Learning.
CoRR
Baijiong Lin, Yu Zhang
2022 A conf
LightHuBERT: Lightweight and Configurable Speech Representation Learning with Once-for-All Hidden-Unit BERT.
INTERSPEECH
Rui Wang, Qibing Bai, Junyi Ao, Long Zhou, Zhixiang Xiong, Zhihua Wei, Yu Zhang, Tom Ko, Haizhou Li
2022 J jnl
LightHuBERT: Lightweight and Configurable Speech Representation Learning with Once-for-All Hidden-Unit BERT.
CoRR
Rui Wang, Qibing Bai, Junyi Ao, Long Zhou, Zhixiang Xiong, Zhihua Wei, Yu Zhang, Tom Ko, Haizhou Li
2022 J jnl
Local Low-Rank Approximation With Superpixel-Guided Locality Preserving Graph for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Shujun Yang, Yu Zhang, Yuheng Jia, Weijia Zhang
2022 Misc conf
Multi-View Self-Attention Based Transformer for Speaker Recognition.
ICASSP
Rui Wang, Junyi Ao, Long Zhou, Shujie Liu, Zhihua Wei, Tom Ko, Qing Li, Yu Zhang
2022 J jnl
Personalized Dialogue Generation with Persona-Adaptive Attention.
CoRR
Qiushi Huang, Yu Zhang, Tom Ko, Xubo Liu, Bo Wu, Wenwu Wang, H. Lilian Tang
2022 J jnl
Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning.
Trans. Mach. Learn. Res.
Baijiong Lin, Feiyang Ye, Yu Zhang, Ivor W. Tsang
2022 A conf
Selective Partial Domain Adaptation.
BMVC
Pengxin Guo, Jinjing Zhu, Yu Zhang
2022 — conf
SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing.
ACL (1)
Junyi Ao, Rui Wang, Long Zhou, Chengyi Wang, Shuo Ren, Yu Wu, Shujie Liu, Tom Ko, Qing Li, Yu Zhang, Zhihua Wei, Yao Qian, Jinyu Li, Furu Wei
2022 A* conf
Subspace Learning for Effective Meta-Learning.
ICML
Weisen Jiang, James T. Kwok, Yu Zhang
2022 J jnl
Visually-Aware Audio Captioning With Adaptive Audio-Visual Attention.
CoRR
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
2021 J jnl
A Closer Look at Loss Weighting in Multi-Task Learning.
CoRR
Baijiong Lin, Feiyang Ye, Yu Zhang
2021 — conf
A Simple Approach to Balance Task Loss in Multi-Task Learning.
IEEE BigData
Sicong Liang, Chang Deng, Yu Zhang
2021 — conf
Deep Multi-task Augmented Feature Learning via Hierarchical Graph Neural Network.
ECML/PKDD (1)
Pengxin Guo, Chang Deng, Linjie Xu, Xiaonan Huang, Yu Zhang
2021 A* conf
Distant Transfer Learning via Deep Random Walk.
AAAI
Qiao Xiao, Yu Zhang
2021 J jnl
Domain Adaptation by Maximizing Population Correlation with Neural Architecture Search.
CoRR
Zhixiong Yue, Pengxin Guo, Yu Zhang
2021 A* conf
Effective Meta-Regularization by Kernelized Proximal Regularization.
NeurIPS
Weisen Jiang, James T. Kwok, Yu Zhang
2021 A* conf
Multi-Objective Meta Learning.
NeurIPS
Feiyang Ye, Baijiong Lin, Zhixiong Yue, Pengxin Guo, Qiao Xiao, Yu Zhang
2021 J jnl
Multi-Objective Meta Learning.
CoRR
Feiyang Ye, Baijiong Lin, Zhixiong Yue, Pengxin Guo, Qiao Xiao, Yu Zhang
2021 A* conf
Multi-Task Learning via Generalized Tensor Trace Norm.
KDD
Yi Zhang, Yu Zhang, Wei Wang
2021 J jnl
Multi-View Self-Attention Based Transformer for Speaker Recognition.
CoRR
Rui Wang, Junyi Ao, Long Zhou, Shujie Liu, Zhihua Wei, Tom Ko, Qing Li, Yu Zhang
2021 A conf
Region Semantically Aligned Network for Zero-Shot Learning.
CIKM
Ziyang Wang, Yunhao Gou, Jingjing Li, Yu Zhang, Yang Yang
2021 J jnl
Region Semantically Aligned Network for Zero-Shot Learning.
CoRR
Ziyang Wang, Yunhao Gou, Jingjing Li, Yu Zhang, Yang Yang
2021 B conf
SEEN: Few-Shot Classification with SElf-ENsemble.
IJCNN
Weisen Jiang, Yu Zhang, James T. Kwok
2021 J jnl
Safe Multi-Task Learning.
CoRR
Pengxin Guo, Feiyang Ye, Yu Zhang
2021 J jnl
SpeechT5: Unified-Modal Encoder-Decoder Pre-training for Spoken Language Processing.
CoRR
Junyi Ao, Rui Wang, Long Zhou, Shujie Liu, Shuo Ren, Yu Wu, Tom Ko, Qing Li, Yu Zhang, Zhihua Wei, Yao Qian, Jinyu Li, Furu Wei
2021 A conf
Time-Aware Recommender System via Continuous-Time Modeling.
CIKM
Jianghan Bao, Yu Zhang
2020 J jnl
A Simple General Approach to Balance Task Difficulty in Multi-Task Learning.
CoRR
Sicong Liang, Yu Zhang
2020 A* conf
Adaptive Probabilistic Word Embedding.
WWW
Shuangyin Li, Yu Zhang, Rong Pan, Kaixiang Mo
2020 J jnl
Bi-Directional Recurrent Attentional Topic Model.
ACM Trans. Knowl. Discov. Data
Shuangyin Li, Yu Zhang, Rong Pan
2020 J jnl
Deep Multi-Task Augmented Feature Learning via Hierarchical Graph Neural Network.
CoRR
Pengxin Guo, Chang Deng, Linjie Xu, Xiaonan Huang, Yu Zhang
2020 J jnl
Discriminative distribution alignment: A unified framework for heterogeneous domain adaptation.
Pattern Recognit.
Yuan Yao, Yu Zhang, Xutao Li, Yunming Ye
2020 J jnl
Distant Transfer Learning via Deep Random Walk.
CoRR
Qiao Xiao, Yu Zhang
2020 J jnl
Effective, Efficient and Robust Neural Architecture Search.
CoRR
Zhixiong Yue, Baijiong Lin, Xiaonan Huang, Yu Zhang
2020 A conf
Fisher Deep Domain Adaptation.
SDM
Yinghua Zhang, Yu Zhang, Ying Wei, Kun Bai, Yangqiu Song, Qiang Yang
2020 J jnl
Fisher Deep Domain Adaptation.
CoRR
Yinghua Zhang, Yu Zhang, Ying Wei, Kun Bai, Yangqiu Song, Qiang Yang
2020 — conf
Learn to Cross-lingual Transfer with Meta Graph Learning Across Heterogeneous Languages.
EMNLP (1)
Zheng Li, Mukul Kumar, William Headden, Bing Yin, Ying Wei, Yu Zhang, Qiang Yang
2020 J jnl
Multi-Task Adversarial Attack.
CoRR
Pengxin Guo, Yuancheng Xu, Baijiong Lin, Yu Zhang
2020 J jnl
Multi-source Heterogeneous Domain Adaptation with Conditional Weighting Adversarial Network.
CoRR
Yuan Yao, Xutao Li, Yu Zhang, Yunming Ye
2020 A conf
WISE: Word-Level Interaction-Based Multimodal Fusion for Speech Emotion Recognition.
INTERSPEECH
Guang Shen, Riwei Lai, Rui Chen, Yu Zhang, Kejia Zhang, Qilong Han, Hongtao Song
2019 A* conf
Exploiting Coarse-to-Fine Task Transfer for Aspect-Level Sentiment Classification.
AAAI
Zheng Li, Ying Wei, Yu Zhang, Xiang Zhang, Xin Li
2019 A* conf
Heterogeneous Domain Adaptation via Soft Transfer Network.
ACM Multimedia
Yuan Yao, Yu Zhang, Xutao Li, Yunming Ye
2019 J jnl
Heterogeneous Domain Adaptation via Soft Transfer Network.
CoRR
Yuan Yao, Yu Zhang, Xutao Li, Yunming Ye
2019 J jnl
Low-resolution image categorization via heterogeneous domain adaptation.
Knowl. Based Syst.
Yuan Yao, Xutao Li, Yunming Ye, Feng Liu, Michael K. Ng, Zhichao Huang, Yu Zhang
2019 — conf
Parameter Transfer Unit for Deep Neural Networks.
PAKDD (2)
Yinghua Zhang, Yu Zhang, Qiang Yang
2019 A* conf
Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text.
WWW
Guangneng Hu, Yu Zhang, Qiang Yang
2019 J jnl
Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text.
CoRR
Guangneng Hu, Yu Zhang, Qiang Yang
2019 — conf
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning.
EMNLP/IJCNLP (1)
Zheng Li, Xin Li, Ying Wei, Lidong Bing, Yu Zhang, Qiang Yang
2019 J jnl
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning.
CoRR
Zheng Li, Xin Li, Ying Wei, Lidong Bing, Yu Zhang, Qiang Yang
2018 A conf
CoNet: Collaborative Cross Networks for Cross-Domain Recommendation.
CIKM
Guangneng Hu, Yu Zhang, Qiang Yang
2018 — conf
CoNet: Collaborative Cross Networks for Cross-Domain Recommendation.
UMCit@KDD
Guangneng Hu, Yu Zhang, Qiang Yang
2018 J jnl
CoNet: Collaborative Cross Networks for Cross-Domain Recommendation.
CoRR
Guangneng Hu, Yu Zhang, Qiang Yang
2018 J jnl
Cross-domain Dialogue Policy Transfer via Simultaneous Speech-act and Slot Alignment.
CoRR
Kaixiang Mo, Yu Zhang, Qiang Yang, Pascale Fung
2018 J jnl
Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification.
CoRR
Zheng Li, Ying Wei, Yu Zhang, Xiang Zhang, Xin Li, Qiang Yang
2018 A* conf
Hierarchical Attention Transfer Network for Cross-Domain Sentiment Classification.
AAAI
Zheng Li, Ying Wei, Yu Zhang, Qiang Yang
2018 J jnl
LCMR: Local and Centralized Memories for Collaborative Filtering with Unstructured Text.
CoRR
Guangneng Hu, Yu Zhang, Qiang Yang
2018 A* conf
Learning to Multitask.
NeurIPS
Yu Zhang, Ying Wei, Qiang Yang
2018 J jnl
Learning to Multitask.
CoRR
Yu Zhang, Ying Wei, Qiang Yang
2018 J jnl
Parameter Transfer Unit for Deep Neural Networks.
CoRR
Yinghua Zhang, Yu Zhang, Qiang Yang
2018 A* conf
Personalizing a Dialogue System With Transfer Reinforcement Learning.
AAAI
Kaixiang Mo, Yu Zhang, Shuangyin Li, Jiajun Li, Qiang Yang
2018 A* conf
Transfer Learning via Learning to Transfer.
ICML
Ying Wei, Yu Zhang, Junzhou Huang, Qiang Yang
2018 A* conf
Transferable Contextual Bandit for Cross-Domain Recommendation.
AAAI
Bo Liu, Ying Wei, Yu Zhang, Zhixian Yan, Qiang Yang
2017 J jnl
A Component-Based Diffusion Model With Structural Diversity for Social Networks.
IEEE Trans. Cybern.
Qing Bao, William K. Cheung, Yu Zhang, Jiming Liu
2017 J jnl
A Survey on Multi-Task Learning.
CoRR
Yu Zhang, Qiang Yang
2017 A* conf
Deep Neural Networks for High Dimension, Low Sample Size Data.
IJCAI
Bo Liu, Ying Wei, Yu Zhang, Qiang Yang
2017 A* conf
Distant Domain Transfer Learning.
AAAI
Ben Tan, Yu Zhang, Sinno Jialin Pan, Qiang Yang
2017 A* conf
End-to-End Adversarial Memory Network for Cross-domain Sentiment Classification.
IJCAI
Zheng Li, Yu Zhang, Ying Wei, Yuxiang Wu, Qiang Yang
2017 J jnl
Fine Grained Knowledge Transfer for Personalized Task-oriented Dialogue Systems.
CoRR
Kaixiang Mo, Yu Zhang, Qiang Yang, Pascale Fung
2017 J jnl
Flexible End-to-End Dialogue System for Knowledge Grounded Conversation.
CoRR
Wenya Zhu, Kaixiang Mo, Yu Zhang, Zhangbin Zhu, Xuezheng Peng, Qiang Yang
2017 J jnl
Integrating User and Agent Models: A Deep Task-Oriented Dialogue System.
CoRR
Weiyan Wang, Yuxiang Wu, Yu Zhang, Zhongqi Lu, Kaixiang Mo, Qiang Yang
2017 A* conf
Learning Sparse Task Relations in Multi-Task Learning.
AAAI
Yu Zhang, Qiang Yang
2017 J jnl
Learning to Transfer.
CoRR
Ying Wei, Yu Zhang, Qiang Yang
2017 A* conf
Multimodal Linear Discriminant Analysis via Structural Sparsity.
IJCAI
Yu Zhang, Yuan Jiang
2017 A* conf
Recurrent Attentional Topic Model.
AAAI
Shuangyin Li, Yu Zhang, Rong Pan, Mingzhi Mao, Yang Yang
2016 A conf
Correlated Tag Learning in Topic Model.
UAI
Shuangyin Li, Rong Pan, Yu Zhang, Qiang Yang
2016 A* conf
Fast Component Pursuit for Large-Scale Inverse Covariance Estimation.
KDD
Lei Han, Yu Zhang, Tong Zhang
2016 A* conf
Generalized Hierarchical Sparse Model for Arbitrary-Order Interactive Antigenic Sites Identification in Flu Virus Data.
KDD
Lei Han, Yu Zhang, Xiu-Feng Wan, Tong Zhang
2016 A* conf
Multi-Stage Multi-Task Learning with Reduced Rank.
AAAI
Lei Han, Yu Zhang
2016 J jnl
Personalizing a Dialogue System with Transfer Learning.
CoRR
Kaixiang Mo, Shuangyin Li, Yu Zhang, Jiajun Li, Qiang Yang
2016 A* conf
Reduction Techniques for Graph-Based Convex Clustering.
AAAI
Lei Han, Yu Zhang
2015 J jnl
A Unified Framework for Epidemic Prediction based on Poisson Regression.
IEEE Trans. Knowl. Data Eng.
Yu Zhang, William K. Cheung, Jiming Liu
2015 A* conf
Differentially Private High-Dimensional Data Publication via Sampling-Based Inference.
KDD
Rui Chen, Qian Xiao, Yu Zhang, Jianliang Xu
2015 A* conf
Discriminative Feature Grouping.
AAAI
Lei Han, Yu Zhang
2015 J jnl
Instance-specific canonical correlation analysis.
Neurocomputing
Deming Zhai, Yu Zhang, Dit-Yan Yeung, Hong Chang, Xilin Chen, Wen Gao
2015 A* conf
Learning Multi-Level Task Groups in Multi-Task Learning.
AAAI
Lei Han, Yu Zhang
2015 A* conf
Learning Tree Structure in Multi-Task Learning.
KDD
Lei Han, Yu Zhang
2015 A* conf
Parallel Multi-task Learning.
ICDM
Yu Zhang
2014 A* conf
Encoding Tree Sparsity in Multi-Task Learning: A Probabilistic Framework.
AAAI
Lei Han, Yu Zhang, Guojie Song, Kunqing Xie
2013 J jnl
A Regularization Approach to Learning Task Relationships in Multitask Learning.
ACM Trans. Knowl. Discov. Data
Yu Zhang, Dit-Yan Yeung
2013 — conf
Incorporating Structural Diversity of Neighbors in a Diffusion Model for Social Networks.
Web Intelligence
Qing Bao, William K. Cheung, Yu Zhang
2013 A* conf
Learning High-Order Task Relationships in Multi-Task Learning.
IJCAI
Yu Zhang, Dit-Yan Yeung
2013 J jnl
Multilabel relationship learning.
ACM Trans. Knowl. Discov. Data
Yu Zhang, Dit-Yan Yeung
2012 J jnl
A Convex Formulation for Learning Task Relationships in Multi-Task Learning
CoRR
Yu Zhang, Dit-Yan Yeung
2012 J jnl
Multi-Domain Collaborative Filtering
CoRR
Yu Zhang, Bin Cao, Dit-Yan Yeung
2012 — conf
Multi-Task Boosting by Exploiting Task Relationships.
ECML/PKDD (1)
Yu Zhang, Dit-Yan Yeung
2012 A* conf
Overlapping community detection via bounded nonnegative matrix tri-factorization.
KDD
Yu Zhang, Dit-Yan Yeung
2012 A* conf
Supervised Probabilistic Robust Embedding with Sparse Noise.
AAAI
Yu Zhang, Dit-Yan Yeung, Eric P. Xing
2012 J jnl
Transfer Metric Learning with Semi-Supervised Extension.
ACM Trans. Intell. Syst. Technol.
Yu Zhang, Dit-Yan Yeung
2011 — conf
Age Estimation Using Bayesian Process.
PAKDD Workshops
Yu Zhang
2011 — conf
Discriminative Experimental Design.
ECML/PKDD (3)
Yu Zhang, Dit-Yan Yeung
2011 A* conf
Multi-Task Learning in Heterogeneous Feature Spaces.
AAAI
Yu Zhang, Dit-Yan Yeung
2011 J jnl
Semisupervised Generalized Discriminant Analysis.
IEEE Trans. Neural Networks
Yu Zhang, Dit-Yan Yeung
2010 A conf
A Convex Formulation for Learning Task Relationships in Multi-Task Learning.
UAI
Yu Zhang, Dit-Yan Yeung
2010 A* conf
Adaptive Transfer Learning.
AAAI
Bin Cao, Sinno Jialin Pan, Yu Zhang, Dit-Yan Yeung, Qiang Yang
2010 A conf
Multi-Domain Collaborative Filtering.
UAI
Yu Zhang, Bin Cao, Dit-Yan Yeung
2010 A conf
Multi-Task Learning using Generalized t Process.
AISTATS
Yu Zhang, Dit-Yan Yeung
2010 A* conf
Multi-task warped Gaussian process for personalized age estimation.
CVPR
Yu Zhang, Dit-Yan Yeung
2010 — conf
Probabilistic Multi-Task Feature Selection.
NIPS
Yu Zhang, Dit-Yan Yeung, Qian Xu
2010 A* conf
Transductive Learning on Adaptive Graphs.
AAAI
Yan-Ming Zhang, Yu Zhang, Dit-Yan Yeung, Cheng-Lin Liu, Xinwen Hou
2010 A* conf
Transfer metric learning by learning task relationships.
KDD
Yu Zhang, Dit-Yan Yeung
2010 — conf
Worst-Case Linear Discriminant Analysis.
NIPS
Yu Zhang, Dit-Yan Yeung
2009 — conf
Heteroscedastic Probabilistic Linear Discriminant Analysis with Semi-supervised Extension.
ECML/PKDD (2)
Yu Zhang, Dit-Yan Yeung
2009 — conf
Semi-Supervised Multi-Task Regression.
ECML/PKDD (2)
Yu Zhang, Dit-Yan Yeung
2008 A* conf
Semi-Supervised Discriminant Analysis using robust path-based similarity.
CVPR
Yu Zhang, Dit-Yan Yeung
2008 — conf
Semi-supervised Discriminant Analysis Via CCCP.
ECML/PKDD (2)
Yu Zhang, Dit-Yan Yeung
2006 A* conf
Learning from facial aging patterns for automatic age estimation.
ACM Multimedia
Xin Geng, Zhi-Hua Zhou, Yu Zhang, Gang Li, Honghua Dai