Learning from facial aging patterns for automatic age estimation. - Xin Geng 001; Zhi-Hua Zhou; Yu Zhang 006; Gang Li 009; Honghua Dai 001 (ACM Multimedia, 2006)

Semi-Supervised Discriminant Analysis using robust path-based similarity. - Yu Zhang 006; Dit-Yan Yeung (CVPR, 2008)

Semi-supervised Discriminant Analysis Via CCCP. - Yu Zhang 006; Dit-Yan Yeung (ECML/PKDD (2), 2008)

Heteroscedastic Probabilistic Linear Discriminant Analysis with Semi-supervised Extension. - Yu Zhang 006; Dit-Yan Yeung (ECML/PKDD (2), 2009)

Semi-Supervised Multi-Task Regression. - Yu Zhang 006; Dit-Yan Yeung (ECML/PKDD (2), 2009)

Adaptive Transfer Learning. - Bin Cao 001; Sinno Jialin Pan; Yu Zhang 006; Dit-Yan Yeung; Qiang Yang 001 (AAAI, 2010)

Transductive Learning on Adaptive Graphs. - Yan-Ming Zhang 001; Yu Zhang 006; Dit-Yan Yeung; Cheng-Lin Liu 001; Xinwen Hou (AAAI, 2010)

Multi-task warped Gaussian process for personalized age estimation. - Yu Zhang 006; Dit-Yan Yeung (CVPR, 2010)

Transfer metric learning by learning task relationships. - Yu Zhang 006; Dit-Yan Yeung (KDD, 2010)

Worst-Case Linear Discriminant Analysis. - Yu Zhang 006; Dit-Yan Yeung (NIPS, 2010)

Probabilistic Multi-Task Feature Selection. - Yu Zhang 006; Dit-Yan Yeung; Qian Xu (NIPS, 2010)

Multi-Domain Collaborative Filtering. - Yu Zhang 006; Bin Cao 001; Dit-Yan Yeung (UAI, 2010)

A Convex Formulation for Learning Task Relationships in Multi-Task Learning. - Yu Zhang 006; Dit-Yan Yeung (UAI, 2010)

Multi-Task Learning using Generalized t Process. - Yu Zhang 006; Dit-Yan Yeung (AISTATS, 2010)

Multi-Task Learning in Heterogeneous Feature Spaces. - Yu Zhang 006; Dit-Yan Yeung (AAAI, 2011)

Age Estimation Using Bayesian Process. - Yu Zhang 006 (PAKDD Workshops, 2011)

Discriminative Experimental Design. - Yu Zhang 006; Dit-Yan Yeung (ECML/PKDD (3), 2011)

Semisupervised Generalized Discriminant Analysis. - Yu Zhang 006; Dit-Yan Yeung (IEEE Trans. Neural Networks, 2011)

Supervised Probabilistic Robust Embedding with Sparse Noise. - Yu Zhang 006; Dit-Yan Yeung; Eric P. Xing (AAAI, 2012)

Overlapping community detection via bounded nonnegative matrix tri-factorization. - Yu Zhang 006; Dit-Yan Yeung (KDD, 2012)

Multi-Task Boosting by Exploiting Task Relationships. - Yu Zhang 006; Dit-Yan Yeung (ECML/PKDD (1), 2012)

Transfer Metric Learning with Semi-Supervised Extension. - Yu Zhang 006; Dit-Yan Yeung (ACM Trans. Intell. Syst. Technol., 2012)

Learning High-Order Task Relationships in Multi-Task Learning. - Yu Zhang 006; Dit-Yan Yeung (IJCAI, 2013)

Incorporating Structural Diversity of Neighbors in a Diffusion Model for Social Networks. - Qing Bao; William K. Cheung 001; Yu Zhang 006 (Web Intelligence, 2013)

Multilabel relationship learning. - Yu Zhang 006; Dit-Yan Yeung (ACM Trans. Knowl. Discov. Data, 2013)

A Regularization Approach to Learning Task Relationships in Multitask Learning. - Yu Zhang 006; Dit-Yan Yeung (ACM Trans. Knowl. Discov. Data, 2013)

Encoding Tree Sparsity in Multi-Task Learning: A Probabilistic Framework. - Lei Han 001; Yu Zhang 006; Guojie Song; Kunqing Xie (AAAI, 2014)

Discriminative Feature Grouping. - Lei Han 001; Yu Zhang 006 (AAAI, 2015)

Learning Multi-Level Task Groups in Multi-Task Learning. - Lei Han 001; Yu Zhang 006 (AAAI, 2015)

Parallel Multi-task Learning. - Yu Zhang 006 (ICDM, 2015)

Differentially Private High-Dimensional Data Publication via Sampling-Based Inference. - Rui Chen 012; Qian Xiao 002; Yu Zhang 006; Jianliang Xu (KDD, 2015)

Learning Tree Structure in Multi-Task Learning. - Lei Han 001; Yu Zhang 006 (KDD, 2015)

Instance-specific canonical correlation analysis. - Deming Zhai; Yu Zhang 006; Dit-Yan Yeung; Hong Chang 001; Xilin Chen 001; Wen Gao 001 (Neurocomputing, 2015)

A Unified Framework for Epidemic Prediction based on Poisson Regression. - Yu Zhang 006; William K. Cheung 001; Jiming Liu 001 (IEEE Trans. Knowl. Data Eng., 2015)

Multi-Stage Multi-Task Learning with Reduced Rank. - Lei Han 001; Yu Zhang 006 (AAAI, 2016)

Reduction Techniques for Graph-Based Convex Clustering. - Lei Han 001; Yu Zhang 006 (AAAI, 2016)

Generalized Hierarchical Sparse Model for Arbitrary-Order Interactive Antigenic Sites Identification in Flu Virus Data. - Lei Han 001; Yu Zhang 006; Xiu-Feng Wan; Tong Zhang 001 (KDD, 2016)

Fast Component Pursuit for Large-Scale Inverse Covariance Estimation. - Lei Han 001; Yu Zhang 006; Tong Zhang 001 (KDD, 2016)

Correlated Tag Learning in Topic Model. - Shuangyin Li; Rong Pan; Yu Zhang 006; Qiang Yang 001 (UAI, 2016)

Personalizing a Dialogue System with Transfer Learning. - Kaixiang Mo; Shuangyin Li; Yu Zhang 006; Jiajun Li; Qiang Yang 001 (CoRR, 2016)

Recurrent Attentional Topic Model. - Shuangyin Li; Yu Zhang 006; Rong Pan; Mingzhi Mao; Yang Yang 002 (AAAI, 2017)

Distant Domain Transfer Learning. - Ben Tan; Yu Zhang 006; Sinno Jialin Pan; Qiang Yang 001 (AAAI, 2017)

Learning Sparse Task Relations in Multi-Task Learning. - Yu Zhang 006; Qiang Yang 001 (AAAI, 2017)

End-to-End Adversarial Memory Network for Cross-domain Sentiment Classification. - Zheng Li 018; Yu Zhang 006; Ying Wei 001; Yuxiang Wu; Qiang Yang 001 (IJCAI, 2017)

Deep Neural Networks for High Dimension, Low Sample Size Data. - Bo Liu 015; Ying Wei 001; Yu Zhang 006; Qiang Yang 001 (IJCAI, 2017)

Multimodal Linear Discriminant Analysis via Structural Sparsity. - Yu Zhang 006; Yuan Jiang 001 (IJCAI, 2017)

Learning to Transfer. - Ying Wei 001; Yu Zhang 006; Qiang Yang 001 (CoRR, 2017)

Flexible End-to-End Dialogue System for Knowledge Grounded Conversation. - Wenya Zhu; Kaixiang Mo; Yu Zhang 006; Zhangbin Zhu; Xuezheng Peng; Qiang Yang 001 (CoRR, 2017)

Integrating User and Agent Models: A Deep Task-Oriented Dialogue System. - Weiyan Wang; Yuxiang Wu; Yu Zhang 006; Zhongqi Lu; Kaixiang Mo; Qiang Yang 001 (CoRR, 2017)

Fine Grained Knowledge Transfer for Personalized Task-oriented Dialogue Systems. - Kaixiang Mo; Yu Zhang 006; Qiang Yang 001; Pascale Fung (CoRR, 2017)

A Component-Based Diffusion Model With Structural Diversity for Social Networks. - Qing Bao; William K. Cheung 001; Yu Zhang 006; Jiming Liu 001 (IEEE Trans. Cybern., 2017)

Hierarchical Attention Transfer Network for Cross-Domain Sentiment Classification. - Zheng Li 018; Ying Wei 001; Yu Zhang 006; Qiang Yang 001 (AAAI, 2018)

Transferable Contextual Bandit for Cross-Domain Recommendation. - Bo Liu 015; Ying Wei 001; Yu Zhang 006; Zhixian Yan; Qiang Yang 001 (AAAI, 2018)

Personalizing a Dialogue System With Transfer Reinforcement Learning. - Kaixiang Mo; Yu Zhang 006; Shuangyin Li; Jiajun Li; Qiang Yang 001 (AAAI, 2018)

CoNet: Collaborative Cross Networks for Cross-Domain Recommendation. - Guangneng Hu; Yu Zhang 006; Qiang Yang 001 (CIKM, 2018)

Transfer Learning via Learning to Transfer. - Ying Wei 001; Yu Zhang 006; Junzhou Huang; Qiang Yang 001 (ICML, 2018)

Learning to Multitask. - Yu Zhang 006; Ying Wei 001; Qiang Yang 001 (NeurIPS, 2018)

LCMR: Local and Centralized Memories for Collaborative Filtering with Unstructured Text. - Guangneng Hu; Yu Zhang 006; Qiang Yang 001 (CoRR, 2018)

Cross-domain Dialogue Policy Transfer via Simultaneous Speech-act and Slot Alignment. - Kaixiang Mo; Yu Zhang 006; Qiang Yang 001; Pascale Fung (CoRR, 2018)

Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification. - Zheng Li 018; Ying Wei 001; Yu Zhang 006; Xiang Zhang 001; Xin Li 056; Qiang Yang 001 (CoRR, 2018)

Exploiting Coarse-to-Fine Task Transfer for Aspect-Level Sentiment Classification. - Zheng Li 018; Ying Wei 001; Yu Zhang 006; Xiang Zhang 001; Xin Li 056 (AAAI, 2019)

Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning. - Zheng Li 018; Xin Li 056; Ying Wei 001; Lidong Bing; Yu Zhang 006; Qiang Yang 001 (EMNLP/IJCNLP (1), 2019)

Heterogeneous Domain Adaptation via Soft Transfer Network. - Yuan Yao 016; Yu Zhang 006; Xutao Li; Yunming Ye (ACM Multimedia, 2019)

Parameter Transfer Unit for Deep Neural Networks. - Yinghua Zhang; Yu Zhang 006; Qiang Yang 001 (PAKDD (2), 2019)

Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text. - Guangneng Hu; Yu Zhang 006; Qiang Yang 001 (WWW, 2019)

Low-resolution image categorization via heterogeneous domain adaptation. - Yuan Yao 016; Xutao Li; Yunming Ye; Feng Liu 034; Michael K. Ng 001; Zhichao Huang 001; Yu Zhang 006 (Knowl. Based Syst., 2019)

Learn to Cross-lingual Transfer with Meta Graph Learning Across Heterogeneous Languages. - Zheng Li 018; Mukul Kumar; William Headden; Bing Yin; Ying Wei 001; Yu Zhang 006; Qiang Yang 001 (EMNLP (1), 2020)

WISE: Word-Level Interaction-Based Multimodal Fusion for Speech Emotion Recognition. - Guang Shen; Riwei Lai; Rui Chen 012; Yu Zhang 006; Kejia Zhang 001; Qilong Han; Hongtao Song (INTERSPEECH, 2020)

Fisher Deep Domain Adaptation. - Yinghua Zhang; Yu Zhang 006; Ying Wei 001; Kun Bai; Yangqiu Song; Qiang Yang 001 (SDM, 2020)

Adaptive Probabilistic Word Embedding. - Shuangyin Li; Yu Zhang 006; Rong Pan; Kaixiang Mo (WWW, 2020)

A Simple General Approach to Balance Task Difficulty in Multi-Task Learning. - Sicong Liang; Yu Zhang 006 (CoRR, 2020)

Multi-source Heterogeneous Domain Adaptation with Conditional Weighting Adversarial Network. - Yuan Yao 016; Xutao Li; Yu Zhang 006; Yunming Ye (CoRR, 2020)

Effective, Efficient and Robust Neural Architecture Search. - Zhixiong Yue; Baijiong Lin; Xiaonan Huang; Yu Zhang 006 (CoRR, 2020)

Multi-Task Adversarial Attack. - Pengxin Guo; Yuancheng Xu; Baijiong Lin; Yu Zhang 006 (CoRR, 2020)

Discriminative distribution alignment: A unified framework for heterogeneous domain adaptation. - Yuan Yao 016; Yu Zhang 006; Xutao Li; Yunming Ye (Pattern Recognit., 2020)

Bi-Directional Recurrent Attentional Topic Model. - Shuangyin Li; Yu Zhang 006; Rong Pan (ACM Trans. Knowl. Discov. Data, 2020)

Distant Transfer Learning via Deep Random Walk. - Qiao Xiao; Yu Zhang 006 (AAAI, 2021)

A Simple Approach to Balance Task Loss in Multi-Task Learning. - Sicong Liang; Chang Deng; Yu Zhang 006 (IEEE BigData, 2021)

Time-Aware Recommender System via Continuous-Time Modeling. - Jianghan Bao; Yu Zhang 006 (CIKM, 2021)

Region Semantically Aligned Network for Zero-Shot Learning. - Ziyang Wang; Yunhao Gou; Jingjing Li 001; Yu Zhang 006; Yang Yang 002 (CIKM, 2021)

SEEN: Few-Shot Classification with SElf-ENsemble. - Weisen Jiang; Yu Zhang 006; James T. Kwok (IJCNN, 2021)

Multi-Task Learning via Generalized Tensor Trace Norm. - Yi Zhang; Yu Zhang 006; Wei Wang 028 (KDD, 2021)

Effective Meta-Regularization by Kernelized Proximal Regularization. - Weisen Jiang; James T. Kwok; Yu Zhang 006 (NeurIPS, 2021)

Multi-Objective Meta Learning. - Feiyang Ye 001; Baijiong Lin; Zhixiong Yue; Pengxin Guo; Qiao Xiao; Yu Zhang 006 (NeurIPS, 2021)

Deep Multi-task Augmented Feature Learning via Hierarchical Graph Neural Network. - Pengxin Guo; Chang Deng; Linjie Xu; Xiaonan Huang; Yu Zhang 006 (ECML/PKDD (1), 2021)

Domain Adaptation by Maximizing Population Correlation with Neural Architecture Search. - Zhixiong Yue; Pengxin Guo; Yu Zhang 006 (CoRR, 2021)

SpeechT5: Unified-Modal Encoder-Decoder Pre-training for Spoken Language Processing. - Junyi Ao; Rui Wang 073; Long Zhou; Shujie Liu 001; Shuo Ren; Yu Wu 012; Tom Ko; Qing Li 001; Yu Zhang 006; Zhihua Wei 001; Yao Qian; Jinyu Li 001; et al. (CoRR, 2021)

Safe Multi-Task Learning. - Pengxin Guo; Feiyang Ye 001; Yu Zhang 006 (CoRR, 2021)

A Closer Look at Loss Weighting in Multi-Task Learning. - Baijiong Lin; Feiyang Ye 001; Yu Zhang 006 (CoRR, 2021)

SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing. - Junyi Ao; Rui Wang 073; Long Zhou; Chengyi Wang 002; Shuo Ren; Yu Wu 012; Shujie Liu 001; Tom Ko; Qing Li 001; Yu Zhang 006; Zhihua Wei 001; Yao Qian; et al. (ACL (1), 2022)

Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering. - Juan Zha; Zheng Li 018; Ying Wei 001; Yu Zhang 006 (EMNLP (Findings), 2022)

Multi-View Self-Attention Based Transformer for Speaker Recognition. - Rui Wang 073; Junyi Ao; Long Zhou; Shujie Liu 001; Zhihua Wei 001; Tom Ko; Qing Li 001; Yu Zhang 006 (ICASSP, 2022)

Exploring Machine Speech Chain For Domain Adaptation. - Fengpeng Yue; Yan Deng; Lei He 005; Tom Ko; Yu Zhang 006 (ICASSP, 2022)

Subspace Learning for Effective Meta-Learning. - Weisen Jiang; James T. Kwok; Yu Zhang 006 (ICML, 2022)

Learning Feature Alignment Architecture for Domain Adaptation. - Zhixiong Yue; Pengxin Guo; Yu Zhang 006; Christy Jie Liang (IJCNN, 2022)

Effective, Efficient and Robust Neural Architecture Search. - Zhixiong Yue; Baijiong Lin; Yu Zhang 006; Christy Jie Liang (IJCNN, 2022)

A Study of Modeling Rising Intonation in Cantonese Neural Speech Synthesis. - Qibing Bai; Tom Ko; Yu Zhang 006 (INTERSPEECH, 2022)

Leveraging Pseudo-labeled Data to Improve Direct Speech-to-Speech Translation. - Qianqian Dong; Fengpeng Yue; Tom Ko; Mingxuan Wang; Qibing Bai; Yu Zhang 006 (INTERSPEECH, 2022)

LightHuBERT: Lightweight and Configurable Speech Representation Learning with Once-for-All Hidden-Unit BERT. - Rui Wang 073; Qibing Bai; Junyi Ao; Long Zhou; Zhixiang Xiong; Zhihua Wei 001; Yu Zhang 006; Tom Ko; Haizhou Li 001 (INTERSPEECH, 2022)

Dynamic Sparse Network for Time Series Classification: Learning What to "See". - Qiao Xiao; Boqian Wu; Yu Zhang 006; Shiwei Liu 003; Mykola Pechenizkiy; Elena Mocanu; Decebal Constantin Mocanu (NeurIPS, 2022)

DHA: Product Title Generation with Discriminative Hierarchical Attention for E-commerce. - Wenya Zhu; Yinghua Zhang; Yu Zhang 006; Yu-Hang Zhou; Yinfu Feng; Yuxiang Wu; Qing Da; Anxiang Zeng (PAKDD (3), 2022)

Adversarial VAE with Normalizing Flows for Multi-Dimensional Classification. - Wenbo Zhang 010; Yunhao Gou; Yuepeng Jiang; Yu Zhang 006 (PRCV (1), 2022)

Domain Adaptation via Bidirectional Cross-Attention Transformer. - Xiyu Wang; Pengxin Guo; Yu Zhang 006 (CoRR, 2022)

LibMTL: A Python Library for Multi-Task Learning. - Baijiong Lin; Yu Zhang 006 (CoRR, 2022)

A context-enhanced sentence representation learning method for close domains with topic modeling. - Shuangyin Li; Weiwei Chen; Yu Zhang 006; Gansen Zhao; Rong Pan; Zhenhua Huang 001; Yong Tang 001 (Inf. Sci., 2022)

Local Low-Rank Approximation With Superpixel-Guided Locality Preserving Graph for Hyperspectral Image Classification. - Shujun Yang; Yu Zhang 006; Yuheng Jia; Weijia Zhang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

A Survey on Multi-Task Learning. - Yu Zhang 006; Qiang Yang 001 (IEEE Trans. Knowl. Data Eng., 2022)

Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning. - Baijiong Lin; Feiyang Ye 001; Yu Zhang 006; Ivor W. Tsang (Trans. Mach. Learn. Res., 2022)

Personalized Dialogue Generation with Persona-Adaptive Attention. - Qiushi Huang; Yu Zhang 006; Tom Ko; Xubo Liu 001; Bo Wu 018; Wenwu Wang 001; H. Lilian Tang (AAAI, 2023)

Dual-Path Side Information Fusion for Sequential Recommendation. - Yu Zhang 006; Haiwei Pan; Kejia Zhang 001; Tianming Zhang; Qingquan Ren; Wenjie Li (IEEE Big Data, 2023)

Leveraging per Image-Token Consistency for Vision-Language Pre-training. - Yunhao Gou; Tom Ko; Hansi Yang; James T. Kwok; Yu Zhang 006; Mingxuan Wang (CVPR, 2023)

Learning Retrieval Augmentation for Personalized Dialogue Generation. - Qiushi Huang; Shuai Fu; Xubo Liu 001; Wenwu Wang 001; Tom Ko; Yu Zhang 006; Lilian Tang (EMNLP, 2023)

KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completion. - Yanbin Wei; Qiushi Huang; Yu Zhang 006; James T. Kwok (EMNLP (Findings), 2023)

An Adaptive Policy to Employ Sharpness-Aware Minimization. - Weisen Jiang; Hansi Yang; Yu Zhang 006; James T. Kwok (ICLR, 2023)

Effective Structured Prompting by Meta-Learning and Representative Verbalizer. - Weisen Jiang; Yu Zhang 006; James T. Kwok (ICML, 2023)

Multi-Task Learning via Time-Aware Neural ODE. - Feiyang Ye 001; Xuehao Wang; Yu Zhang 006; Ivor W. Tsang (IJCAI, 2023)

Partially-Labeled Domain Generalization via Multi-Dimensional Domain Adaptation. - Feiyang Ye 001; Jianghan Bao; Yu Zhang 006 (IJCNN, 2023)

Visually-Aware Audio Captioning With Adaptive Audio-Visual Attention. - Xubo Liu 001; Qiushi Huang; Xinhao Mei; Haohe Liu; Qiuqiang Kong; Jianyuan Sun; Shengchen Li; Tom Ko; Yu Zhang 006; H. Lilian Tang; Mark D. Plumbley; Volkan Kiliç; et al. (INTERSPEECH, 2023)

Forward-Backward Reasoning in Large Language Models for Verification. - Weisen Jiang; Han Shi; Longhui Yu; Zhengying Liu; Yu Zhang 006; Zhenguo Li; James T. Kwok (CoRR, 2023)

A Scale-Invariant Task Balancing Approach for Multi-Task Learning. - Baijiong Lin; Weisen Jiang; Feiyang Ye 001; Yu Zhang 006; Pengguang Chen; Ying-Cong Chen; Shu Liu 005 (CoRR, 2023)

Effective and Parameter-Efficient Reusing Fine-Tuned Models. - Weisen Jiang; Baijiong Lin; Han Shi; Yu Zhang 006; Zhenguo Li; James T. Kwok (CoRR, 2023)

A Unified Framework for Unsupervised Domain Adaptation based on Instance Weighting. - Jinjing Zhu; Feiyang Ye 001; Qiao Xiao; Pengxin Guo; Yu Zhang 006; Qiang Yang 001 (CoRR, 2023)

Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning. - Yunhao Gou; Zhili Liu; Kai Chen 023; Lanqing Hong; Hang Xu 004; Aoxue Li; Dit-Yan Yeung; James T. Kwok; Yu Zhang 006 (CoRR, 2023)

LibMTL: A Python Library for Deep Multi-Task Learning. - Baijiong Lin; Yu Zhang 006 (J. Mach. Learn. Res., 2023)

Superpixelwise Low-Rank Approximation-Based Partial Label Learning for Hyperspectral Image Classification. - Shujun Yang; Yu Zhang 006; Yao Ding 010; Danfeng Hong (IEEE Geosci. Remote. Sens. Lett., 2023)

Multisource Heterogeneous Domain Adaptation With Conditional Weighting Adversarial Network. - Yuan Yao 016; Xutao Li; Yu Zhang 006; Yunming Ye (IEEE Trans. Neural Networks Learn. Syst., 2023)

Learning Linear and Nonlinear Low-Rank Structure in Multi-Task Learning. - Yi Zhang; Yu Zhang 006; Wei Wang 028 (IEEE Trans. Knowl. Data Eng., 2023)

Selective Prompting Tuning for Personalized Conversations with LLMs. - Qiushi Huang; Xubo Liu 001; Tom Ko; Bo Wu 018; Wenwu Wang 001; Yu Zhang 006; Lilian Tang (ACL (Findings), 2024)

Forward-Backward Reasoning in Large Language Models for Mathematical Verification. - Weisen Jiang; Han Shi; Longhui Yu; Zhengying Liu; Yu Zhang 006; Zhenguo Li; James T. Kwok (ACL (Findings), 2024)

A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization. - Feiyang Ye 001; Baijiong Lin; Xiaofeng Cao 002; Yu Zhang 006; Ivor W. Tsang (ECAI, 2024)

Eyes Closed, Safety on: Protecting Multimodal LLMs via Image-to-Text Transformation. - Yunhao Gou; Kai Chen 023; Zhili Liu; Lanqing Hong; Hang Xu 004; Zhenguo Li; Dit-Yan Yeung; James T. Kwok; Yu Zhang 006 (ECCV (17), 2024)

MTMamba: Enhancing Multi-task Dense Scene Understanding by Mamba-Based Decoders. - Baijiong Lin; Weisen Jiang; Pengguang Chen; Yu Zhang 006; Shu Liu 005; Ying-Cong Chen (ECCV (70), 2024)

Nemesis: Normalizing the Soft-prompt Vectors of Vision-Language Models. - Shuai Fu; Xiequn Wang; Qiushi Huang; Yu Zhang 006 (ICLR, 2024)

Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning. - Feiyang Ye 001; Yueming Lyu; Xuehao Wang; Yu Zhang 006; Ivor W. Tsang (ICLR, 2024)

MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models. - Longhui Yu; Weisen Jiang; Han Shi; Jincheng Yu; Zhengying Liu; Yu Zhang 006; James T. Kwok; Zhenguo Li; Adrian Weller; Weiyang Liu (ICLR, 2024)

Rethinking Guidance Information to Utilize Unlabeled Samples: A Label Encoding Perspective. - Yulong Zhang; Yuan Yao 016; Shuhao Chen; Pengrong Jin; Yu Zhang 006; Jian Jin; Jiangang Lu (ICML, 2024)

RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models. - Shuhao Chen; Weisen Jiang; Baijiong Lin; James T. Kwok; Yu Zhang 006 (NeurIPS, 2024)

GITA: Graph to Visual and Textual Integration for Vision-Language Graph Reasoning. - Yanbin Wei; Shuai Fu; Weisen Jiang; Zejian Zhang; Zhixiong Zeng; Qi Wu; James T. Kwok; Yu Zhang 006 (NeurIPS, 2024)

Enhancing Sharpness-Aware Minimization by Learning Perturbation Radius. - Xuehao Wang; Weisen Jiang; Shuai Fu; Yu Zhang 006 (ECML/PKDD (2), 2024)

Multi-objective meta-learning. - Feiyang Ye 001; Baijiong Lin; Zhixiong Yue; Yu Zhang 006; Ivor W. Tsang (Artif. Intell., 2024)

Large Language Models as Visual Cross-Domain Learners. - Shuhao Chen; Yulong Zhang; Weisen Jiang; Jiangang Lu; Yu Zhang 006 (CoRR, 2024)

Rendering Graphs for Graph Reasoning in Multimodal Large Language Models. - Yanbin Wei; Shuai Fu; Weisen Jiang; James T. Kwok; Yu Zhang 006 (CoRR, 2024)

Task-Aware Low-Rank Adaptation of Segment Anything Model. - Xuehao Wang; Feiyang Ye 001; Yu Zhang 006 (CoRR, 2024)

Mixture of insighTful Experts (MoTE): The Synergy of Thought Chains and Expert Mixtures in Self-Alignment. - Zhili Liu; Yunhao Gou; Kai Chen 023; Lanqing Hong; Jiahui Gao; Fei Mi; Yu Zhang 006; Zhenguo Li; Xin Jiang 002; Qun Liu 001; James T. Kwok (CoRR, 2024)

A Versatile Framework for Unsupervised Domain Adaptation Based on Instance Weighting. - Jinjing Zhu; Feiyang Ye 001; Qiao Xiao; Pengxin Guo; Yu Zhang 006; Qiang Yang 001 (IEEE Trans. Image Process., 2024)

Selective Random Walk for Transfer Learning in Heterogeneous Label Spaces. - Qiao Xiao; Yu Zhang 006; Qiang Yang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Multi-Task Learning in Natural Language Processing: An Overview. - Shijie Chen; Yu Zhang 006; Qiang Yang 001 (ACM Comput. Surv., 2024)

Mixture of insighTful Experts (MoTE): The Synergy of Reasoning Chains and Expert Mixtures in Self-Alignment. - Zhili Liu; Yunhao Gou; Kai Chen 023; Lanqing Hong; Jiahui Gao; Fei Mi; Yu Zhang 006; Zhenguo Li; Xin Jiang 002; Qun Liu 001; James T. Kwok (ACL (1), 2025)

Sharpness-Aware Black-Box Optimization. - Feiyang Ye 001; Yueming Lyu; Xuehao Wang; Masashi Sugiyama; Yu Zhang 006; Ivor W. Tsang (ICLR, 2025)

ComLoRA: A Competitive Learning Approach for Enhancing LoRA. - Qiushi Huang; Tom Ko; Lilian Tang; Yu Zhang 006 (ICLR, 2025)

HiRA: Parameter-Efficient Hadamard High-Rank Adaptation for Large Language Models. - Qiushi Huang; Tom Ko; Zhan Zhuang; Lilian Tang; Yu Zhang 006 (ICLR, 2025)

MTSAM: Multi-Task Fine-Tuning for Segment Anything Model. - Xuehao Wang; Zhan Zhuang; Feiyang Ye 001; Yu Zhang 006 (ICLR, 2025)

Domain-guided conditional diffusion model for unsupervised domain adaptation. - Yulong Zhang; Shuhao Chen; Weisen Jiang; Yu Zhang 006; Jiangang Lu; James T. Kwok (Neural Networks, 2025)

Corrupted but Not Broken: Rethinking the Impact of Corrupted Data in Visual Instruction Tuning. - Yunhao Gou; Hansi Yang; Zhili Liu; Kai Chen 023; Yihan Zeng; Lanqing Hong; Zhenguo Li; Qun Liu 001; James T. Kwok; Yu Zhang 006 (CoRR, 2025)

Open the Eyes of MPNN: Vision Enhances MPNN in Link Prediction. - Yanbin Wei; Xuehao Wang; Zhan Zhuang; Yang Chen; Shuhao Chen; Yulong Zhang; Yu Zhang 006; James T. Kwok (CoRR, 2025)

Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation. - Zhan Zhuang; Xiequn Wang; Wei Li; Yulong Zhang; Qiushi Huang; Shuhao Chen; Xuehao Wang; Yanbin Wei; Yuhe Nie; Kede Ma; Yu Zhang 006; Ying Wei 001 (CoRR, 2025)

DynamicMind: A Tri-Mode Thinking System for Large Language Models. - Wei Li; Yanbin Wei; Qiushi Huang; Jiangyue Yan; Yang Chen; James T. Kwok; Yu Zhang 006 (CoRR, 2025)