Joint Latent Dirichlet Allocation for non-iid social tags. - Jiangchao Yao; Ya Zhang 002; Zhe Xu 003; Jun Sun 005; Jun Zhou 007; Xiao Gu 001 (ICME, 2015)

Online Learning Algorithm for Collective LDA. - Xiaoyu Chen; Jiangchao Yao; Yanfeng Wang 001; Ya Zhang 002 (ICMLA, 2015)

Preference Aware Recommendation Based on Categorical Information. - Zhiwei Rao; Jiangchao Yao; Ya Zhang 002; Rui Zhang (ICMLA, 2016)

Discovering User Interests from Social Images. - Jiangchao Yao; Ya Zhang 002; Ivor W. Tsang; Jun Sun 005 (MMM (2), 2017)

Describing Geographical Characteristics with Social Images. - Huangjie Zheng; Jiangchao Yao; Ya Zhang 002 (MMM (1), 2017)

Recommendation with Hybrid Interest Model. - Hanqing Zhao; Xu Chen 026; Jiangchao Yao; Ya Zhang 002; Yanfeng Wang 001 (ICDM Workshops, 2018)

Collaborative Learning for Weakly Supervised Object Detection. - Jiajie Wang; Jiangchao Yao; Ya Zhang 002; Rui Zhang (IJCAI, 2018)

Masking: A New Perspective of Noisy Supervision. - Bo Han 003; Jiangchao Yao; Gang Niu 001; Mingyuan Zhou; Ivor W. Tsang; Ya Zhang 002; Masashi Sugiyama (NeurIPS, 2018)

Degeneration in VAE: in the Light of Fisher Information Loss. - Huangjie Zheng; Jiangchao Yao; Ya Zhang 002; Ivor W. Tsang (CoRR, 2018)

Variational Composite Autoencoders. - Jiangchao Yao; Ivor W. Tsang; Ya Zhang 002 (CoRR, 2018)

Understanding VAEs in Fisher-Shannon Plane. - Huangjie Zheng; Jiangchao Yao; Ya Zhang 002; Ivor W. Tsang (CoRR, 2018)

Variational Collaborative Learning for User Probabilistic Representation. - Kenan Cui; Xu Chen 026; Jiangchao Yao; Ya Zhang 002 (CoRR, 2018)

Pumpout: A Meta Approach for Robustly Training Deep Neural Networks with Noisy Labels. - Bo Han 003; Gang Niu 001; Jiangchao Yao; Xingrui Yu; Miao Xu 001; Ivor W. Tsang; Masashi Sugiyama (CoRR, 2018)

Joint Latent Dirichlet Allocation for Social Tags. - Jiangchao Yao; Yanfeng Wang 001; Ya Zhang 002; Jun Sun 005; Jun Zhou 007 (IEEE Trans. Multim., 2018)

Safeguarded Dynamic Label Regression for Noisy Supervision. - Jiangchao Yao; Hao Wu 075; Ya Zhang 002; Ivor W. Tsang; Jun Sun 005 (AAAI, 2019)

Understanding VAEs in Fisher-Shannon Plane. - Huangjie Zheng; Jiangchao Yao; Ya Zhang 002; Ivor W. Tsang; Jia Wang (AAAI, 2019)

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks. - Yuting Ye; Xuwu Wang; Jiangchao Yao; Kunyang Jia; Jingren Zhou 001; Yanghua Xiao; Hongxia Yang (CIKM, 2019)

Collaborative Label Correction via Entropy Thresholding. - Hao Wu 075; Jiangchao Yao; Jiajie Wang; Yinru Chen; Ya Zhang 002; Yanfeng Wang 001 (ICDM, 2019)

How does Disagreement Help Generalization against Label Corruption? - Xingrui Yu; Bo Han 003; Jiangchao Yao; Gang Niu 001; Ivor W. Tsang; Masashi Sugiyama (ICML, 2019)

Node Attribute Generation on Graphs. - Xu Chen 026; Siheng Chen; Huangjie Zheng; Jiangchao Yao; Kenan Cui; Ya Zhang 002; Ivor W. Tsang (CoRR, 2019)

Deep Learning From Noisy Image Labels With Quality Embedding. - Jiangchao Yao; Jiajie Wang; Ivor W. Tsang; Ya Zhang 002; Jun Sun 005; Chengqi Zhang; Rui Zhang (IEEE Trans. Image Process., 2019)

Deep learning with noisy supervision - Jiangchao Yao (2019)

Learning with Group Noise. - Qizhou Wang; Jiangchao Yao; Chen Gong 002; Tongliang Liu; Mingming Gong; Hongxia Yang; Bo Han 003 (AAAI, 2021)

Cooperative Learning for Noisy Supervision. - Hao Wu 075; Jiangchao Yao; Ya Zhang 002; Yanfeng Wang 001 (ICME, 2021)

Device-Cloud Collaborative Learning for Recommendation. - Jiangchao Yao; Feng Wang 072; Kunyang Jia; Bo Han 003; Jingren Zhou 001; Hongxia Yang (KDD, 2021)

Sparse-Interest Network for Sequential Recommendation. - Qiaoyu Tan; Jianwei Zhang 012; Jiangchao Yao; Ninghao Liu; Jingren Zhou 001; Hongxia Yang; Xia Hu 001 (WSDM, 2021)

Contrastive Conditional Transport for Representation Learning. - Huangjie Zheng; Xu Chen 026; Jiangchao Yao; Hongxia Yang; Chunyuan Li; Ya Zhang 002; Hao Zhang 050; Ivor W. Tsang; Jingren Zhou 001; Mingyuan Zhou (CoRR, 2021)

MC$^2$-SF: Slow-Fast Learning for Mobile-Cloud Collaborative Recommendation. - Zeyuan Chen; Jiangchao Yao; Feng Wang 072; Kunyang Jia; Bo Han 003; Wei Zhang; Hongxia Yang (CoRR, 2021)

Click-through Rate Prediction with Auto-Quantized Contrastive Learning. - Yujie Pan 001; Jiangchao Yao; Bo Han 003; Kunyang Jia; Ya Zhang 002; Hongxia Yang (CoRR, 2021)

Edge-Cloud Polarization and Collaboration: A Comprehensive Survey. - Jiangchao Yao; Shengyu Zhang 001; Yang Yao; Feng Wang 072; Jianxin Ma; Jianwei Zhang 012; Yunfei Chu; Luo Ji; Kunyang Jia; Tao Shen 002; Anpeng Wu; Fengda Zhang; et al. (CoRR, 2021)

Decoupled Variational Embedding for Signed Directed Networks. - Xu Chen 026; Jiangchao Yao; Maosen Li; Ya Zhang 002; Yanfeng Wang 001 (ACM Trans. Web, 2021)

PEAR: Photographic Embedding for Aesthetic Rating. - Hao Wu 075; Jiangchao Yao (ICASSP, 2022)

FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation. - Ziqing Fan; Yanfeng Wang 001; Jiangchao Yao; Lingjuan Lyu; Ya Zhang 002; Qi Tian 001 (ICDM, 2022)

Reliable Adversarial Distillation with Unreliable Teachers. - Jianing Zhu; Jiangchao Yao; Bo Han 003; Jingfeng Zhang; Tongliang Liu; Gang Niu 001; Jingren Zhou 001; Jianliang Xu; Hongxia Yang (ICLR, 2022)

Contrastive Learning with Boosted Memorization. - Zhihan Zhou 002; Jiangchao Yao; Yanfeng Wang 001; Bo Han 003; Ya Zhang 002 (ICML, 2022)

Device-cloud Collaborative Recommendation via Meta Controller. - Jiangchao Yao; Feng Wang 072; Xichen Ding; Shaohu Chen; Bo Han 003; Jingren Zhou 001; Hongxia Yang (KDD, 2022)

Learning on Attribute-Missing Graphs. - Xu Chen 026; Siheng Chen; Jiangchao Yao; Huangjie Zheng; Ya Zhang 002; Ivor W. Tsang (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension. - Xin He; Jiangchao Yao; Yuxin Wang 003; Zhenheng Tang; Ka Chun Cheung; Simon See; Bo Han 003; Xiaowen Chu 001 (AAAI, 2023)

Zero-shot Composed Text-Image Retrieval. - Yikun Liu; Jiangchao Yao; Ya Zhang 002; Yanfeng Wang 001; Weidi Xie (BMVC, 2023)

Class-Balancing Diffusion Models. - Yiming Qin; Huangjie Zheng; Jiangchao Yao; Mingyuan Zhou; Ya Zhang 002 (CVPR, 2023)

Federated Domain Generalization with Generalization Adjustment. - Ruipeng Zhang; Qinwei Xu; Jiangchao Yao; Ya Zhang 002; Qi Tian 001; Yanfeng Wang 001 (CVPR, 2023)

Long-Tailed Partial Label Learning via Dynamic Rebalancing. - Feng Hong 004; Jiangchao Yao; Zhihan Zhou 002; Ya Zhang 002; Yanfeng Wang 001 (ICLR, 2023)

Combating Exacerbated Heterogeneity for Robust Models in Federated Learning. - Jianing Zhu; Jiangchao Yao; Tongliang Liu; Quanming Yao; Jianliang Xu; Bo Han 003 (ICLR, 2023)

On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation. - Zhanke Zhou; Chenyu Zhou; Xuan Li 005; Jiangchao Yao; Quanming Yao; Bo Han 003 (ICML, 2023)

Exploring Model Dynamics for Accumulative Poisoning Discovery. - Jianing Zhu; Xiawei Guo; Jiangchao Yao; Chao Du; Li He; Shuo Yuan; Tongliang Liu; Liang Wang 001; Bo Han 003 (ICML, 2023)

Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability. - Jianing Zhu; Hengzhuang Li; Jiangchao Yao; Tongliang Liu; Jianliang Xu; Bo Han 003 (ICML, 2023)

GRACE: A Generalized and Personalized Federated Learning Method for Medical Imaging. - Ruipeng Zhang; Ziqing Fan; Qinwei Xu; Jiangchao Yao; Ya Zhang 002; Yanfeng Wang 001 (MICCAI (3), 2023)

Combating Representation Learning Disparity with Geometric Harmonization. - Zhihan Zhou 002; Jiangchao Yao; Feng Hong 004; Ya Zhang 002; Bo Han 003; Yanfeng Wang 001 (NeurIPS, 2023)

Federated Learning with Bilateral Curation for Partially Class-Disjoint Data. - Ziqing Fan; Ruipeng Zhang; Jiangchao Yao; Bo Han 003; Ya Zhang 002; Yanfeng Wang 001 (NeurIPS, 2023)

Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic Segmentation. - Fei Zhang 016; Tianfei Zhou; Boyang Li; Hao He; Chaofan Ma; Tianjiao Zhang; Jiangchao Yao; Ya Zhang 002; Yanfeng Wang 001 (NeurIPS, 2023)

Combating Bilateral Edge Noise for Robust Link Prediction. - Zhanke Zhou; Jiangchao Yao; Jiaxu Liu; Xiawei Guo; Quanming Yao; Li He; Liang Wang 001; Bo Zheng 007; Bo Han 003 (NeurIPS, 2023)

Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation. - Jianing Zhu; Yu Geng; Jiangchao Yao; Tongliang Liu; Gang Niu 001; Masashi Sugiyama; Bo Han 003 (NeurIPS, 2023)

Towards Efficient Task-Driven Model Reprogramming with Foundation Models. - Shoukai Xu; Jiangchao Yao; Ran Luo 003; Shuhai Zhang; Zihao Lian; Mingkui Tan; Yaowei Wang 001 (CoRR, 2023)

Bag of Tricks for Long-Tailed Multi-Label Classification on Chest X-Rays. - Feng Hong 004; Tianjie Dai; Jiangchao Yao; Ya Zhang 002; Yanfeng Wang 001 (CoRR, 2023)

UniBrain: Universal Brain MRI Diagnosis with Hierarchical Knowledge-enhanced Pre-training. - Jiayu Lei; Lisong Dai; Haoyun Jiang; Chaoyi Wu; Xiaoman Zhang; Yao Zhang 010; Jiangchao Yao; Weidi Xie; Yanyong Zhang; Yuehua Li; Ya Zhang 002; Yanfeng Wang 001 (CoRR, 2023)

Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation. - Jianing Zhu; Geng Yu; Jiangchao Yao; Tongliang Liu; Gang Niu 001; Masashi Sugiyama; Bo Han 003 (CoRR, 2023)

Long-Range Neural Atom Learning for Molecular Graphs. - Xuan Li 005; Zhanke Zhou; Jiangchao Yao; Yu Rong 001; Lu Zhang 060; Bo Han 003 (CoRR, 2023)

DeepInception: Hypnotize Large Language Model to Be Jailbreaker. - Xuan Li 005; Zhanke Zhou; Jianing Zhu; Jiangchao Yao; Tongliang Liu; Bo Han 003 (CoRR, 2023)

CogKR: Cognitive Graph for Multi-Hop Knowledge Reasoning. - Zhengxiao Du; Chang Zhou; Jiangchao Yao; Teng Tu; Letian Cheng; Hongxia Yang; Jingren Zhou 001; Jie Tang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Federated Learning under Partially Disjoint Data via Manifold Reshaping. - Ziqing Fan; Jiangchao Yao; Ruipeng Zhang; Lingjuan Lyu; Yanfeng Wang 001; Ya Zhang 002 (Trans. Mach. Learn. Res., 2023)

Contrastive Attraction and Contrastive Repulsion for Representation Learning. - Huangjie Zheng; Xu Chen 026; Jiangchao Yao; Hongxia Yang; Chunyuan Li; Ya Zhang 002; Hao Zhang 050; Ivor W. Tsang; Jingren Zhou 001; Mingyuan Zhou (Trans. Mach. Learn. Res., 2023)

Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI. - Jiangchao Yao; Shengyu Zhang 001; Yang Yao; Feng Wang 072; Jianxin Ma; Jianwei Zhang 012; Yunfei Chu; Luo Ji; Kunyang Jia; Tao Shen 002; Anpeng Wu; Fengda Zhang; et al. (IEEE Trans. Knowl. Data Eng., 2023)

Latent Class-Conditional Noise Model. - Jiangchao Yao; Bo Han 003; Zhihan Zhou 002; Ya Zhang 002; Ivor W. Tsang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning. - Zihua Zhao; Mengxi Chen; Tianjie Dai; Jiangchao Yao; Bo Han 003; Ya Zhang 002; Yanfeng Wang 001 (CVPR, 2024)

Low-Rank Knowledge Decomposition for Medical Foundation Models. - Yuhang Zhou; Haolin Li; Siyuan Du; Jiangchao Yao; Ya Zhang 002; Yanfeng Wang 001 (CVPR, 2024)

ReMamber: Referring Image Segmentation with Mamba Twister. - Yuhuan Yang; Chaofan Ma; Jiangchao Yao; Zhun Zhong; Ya Zhang 002; Yanfeng Wang 001 (ECCV (10), 2024)

Pre-Post Interaction Learning for Brain Tumor Segmentation with Missing MRI Modalities. - Linyu Xing; Mengxi Chen; Jiangchao Yao; Ya Zhang 002; Yanfeng Wang 001 (ICASSP, 2024)

On Harmonizing Implicit Subpopulations. - Feng Hong 004; Jiangchao Yao; Yueming Lyu; Zhihan Zhou 002; Ivor W. Tsang; Ya Zhang 002; Yanfeng Wang 001 (ICLR, 2024)

Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel. - Xuan Li 005; Zhanke Zhou; Jiangchao Yao; Yu Rong 001; Lu Zhang 060; Bo Han 003 (ICLR, 2024)

Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts. - Ruipeng Zhang; Ziqing Fan; Jiangchao Yao; Ya Zhang 002; Yanfeng Wang 001 (ICLR, 2024)

Long-tailed Diffusion Models with Oriented Calibration. - Tianjiao Zhang; Huangjie Zheng; Jiangchao Yao; Xiangfeng Wang; Mingyuan Zhou; Ya Zhang 002; Yanfeng Wang 001 (ICLR, 2024)

Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs. - Zhanke Zhou; Yongqi Zhang; Jiangchao Yao; Quanming Yao; Bo Han 003 (ICLR, 2024)

MVTexGen: Synthesising 3D Textures Using Multi-View Diffusion. - Jinyi Wang; Fei Ben; Huangjie Zheng; Jiangchao Yao; Ya Zhang 002; Yanfeng Wang 001 (ICME, 2024)

Diversified Batch Selection for Training Acceleration. - Feng Hong 004; Yueming Lyu; Jiangchao Yao; Ya Zhang 002; Ivor W. Tsang; Yanfeng Wang 001 (ICML, 2024)

Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization. - Ziqing Fan; Shengchao Hu; Jiangchao Yao; Gang Niu 001; Ya Zhang 002; Masashi Sugiyama; Yanfeng Wang 001 (ICML, 2024)

Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning. - Yuhao Wu; Jiangchao Yao; Bo Han 003; Lina Yao 001; Tongliang Liu (ICML, 2024)

Mitigating Label Noise on Graphs via Topological Sample Selection. - Yuhao Wu; Jiangchao Yao; Xiaobo Xia; Jun Yu 001; Ruxin Wang 002; Bo Han 003; Tongliang Liu (ICML, 2024)

Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters. - Yuhang Zhou; Zihua Zhao; Siyuan Du; Haolin Li; Jiangchao Yao; Ya Zhang 002; Yanfeng Wang 001 (ICML, 2024)

Reprogramming Distillation for Medical Foundation Models. - Yuhang Zhou; Siyuan Du; Haolin Li; Jiangchao Yao; Ya Zhang 002; Yanfeng Wang 001 (MICCAI (11), 2024)

Probabilistic Conformal Distillation for Enhancing Missing Modality Robustness. - Mengxi Chen; Fei Zhang 016; Zihua Zhao; Jiangchao Yao; Ya Zhang 002; Yanfeng Wang 001 (NeurIPS, 2024)

Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation. - Jiaan Luo; Feng Hong 004; Jiangchao Yao; Bo Han 003; Ya Zhang 002; Yanfeng Wang 001 (NeurIPS, 2024)

Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection. - Geng Yu; Jianing Zhu; Jiangchao Yao; Bo Han 003 (NeurIPS, 2024)

Enhancing Cross-Domain Click-Through Rate Prediction via Explicit Feature Augmentation. - Xu Chen 026; Zida Cheng; Jiangchao Yao; Chen Ju; Weilin Huang; Jinsong Lan; Xiaoyi Zeng; Shuai Xiao 002 (WWW (Companion Volume), 2024)

Mitigating Label Noise on Graph via Topological Sample Selection. - Yuhao Wu; Jiangchao Yao; Xiaobo Xia; Jun Yu 001; Ruxin Wang 002; Bo Han 003; Tongliang Liu (CoRR, 2024)

Federated Learning under Partially Class-Disjoint Data via Manifold Reshaping. - Ziqing Fan; Jiangchao Yao; Ruipeng Zhang; Lingjuan Lyu; Ya Zhang 002; Yanfeng Wang 001 (CoRR, 2024)

Decoupling the Class Label and the Target Concept in Machine Unlearning. - Jianing Zhu; Bo Han 003; Jiangchao Yao; Jianliang Xu; Gang Niu 001; Masashi Sugiyama (CoRR, 2024)

Knowledge-Enhanced Facial Expression Recognition with Emotional-to-Neutral Transformation. - Hangyu Li 001; Yihan Xu; Jiangchao Yao; Nannan Wang 001; Xinbo Gao 001; Bo Han 003 (CoRR, 2024)

LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models. - Haolin Li; Yuhang Zhou; Ziheng Zhao; Siyuan Du; Jiangchao Yao; Weidi Xie; Ya Zhang 002; Yanfeng Wang 001 (CoRR, 2024)

LamRA: Large Multimodal Model as Your Advanced Retrieval Assistant. - Yikun Liu; Pingan Chen; Jiayin Cai; Xiaolong Jiang; Yao Hu 002; Jiangchao Yao; Yanfeng Wang 001; Weidi Xie (CoRR, 2024)

Balanced Destruction-Reconstruction Dynamics for Memory-Replay Class Incremental Learning. - Yuhang Zhou; Jiangchao Yao; Feng Hong 004; Ya Zhang 002; Yanfeng Wang 001 (IEEE Trans. Image Process., 2024)

Server-Client Collaborative Distillation for Federated Reinforcement Learning. - Weiming Mai; Jiangchao Yao; Chen Gong 002; Ya Zhang 002; Yiu-Ming Cheung; Bo Han 003 (ACM Trans. Knowl. Discov. Data, 2024)

Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems. - Shengyu Zhang 001; Ziqi Jiang; Jiangchao Yao; Fuli Feng; Kun Kuang; Zhou Zhao 001; Shuo Li; Hongxia Yang; Tat-Seng Chua; Fei Wu 001 (IEEE Trans. Knowl. Data Eng., 2024)

UniChest: Conquer-and-Divide Pre-Training for Multi-Source Chest X-Ray Classification. - Tianjie Dai; Ruipeng Zhang; Feng Hong 004; Jiangchao Yao; Ya Zhang 002; Yanfeng Wang 001 (IEEE Trans. Medical Imaging, 2024)

Multi-modal Prototypes for Open-World Semantic Segmentation. - Yuhuan Yang; Chaofan Ma; Chen Ju; Fei Zhang 016; Jiangchao Yao; Ya Zhang 002; Yanfeng Wang 001 (Int. J. Comput. Vis., 2024)

Large Language Models Enhanced Personalized Graph Neural Architecture Search in Federated Learning. - Hui Fang; Yang Gao 024; Peng Zhang 001; Jiangchao Yao; Hongyang Chen; Haishuai Wang (AAAI, 2025)

MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance. - Jialong Guo; Ke Liu 013; Jiangchao Yao; Zhihua Wang; Jiajun Bu; Haishuai Wang (AAAI, 2025)

Multi-modal Medical Diagnosis via Large-small Model Collaboration. - Wanyi Chen; Zihua Zhao; Jiangchao Yao; Ya Zhang 002; Jiajun Bu; Haishuai Wang (CVPR, 2025)

LamRA: Large Multimodal Model as Your Advanced Retrieval Assistant. - Yikun Liu; Yajie Zhang; Jiayin Cai; Xiaolong Jiang; Yao Hu 002; Jiangchao Yao; Yanfeng Wang 001; Weidi Xie (CVPR, 2025)

Fast and Accurate Blind Flexible Docking. - Zizhuo Zhang; Lijun Wu; Kaiyuan Gao; Jiangchao Yao; Tao Qin; Bo Han 003 (ICLR, 2025)

Trustworthy AI under Imperfect Web Data. - Jiangchao Yao; Feng Liu 003; Bo Han 003 (WWW (Companion Volume), 2025)

UniBrain: Universal Brain MRI diagnosis with hierarchical knowledge-enhanced pre-training. - Jiayu Lei; Lisong Dai; Haoyun Jiang; Chaoyi Wu; Xiaoman Zhang; Yao Zhang 010; Jiangchao Yao; Weidi Xie; Yan-Ning Zhang 001; Yuehua Li; Ya Zhang 002; Yanfeng Wang 001 (Comput. Medical Imaging Graph., 2025)

Trustworthy Machine Learning: From Data to Models. - Bo Han 003; Jiangchao Yao; Tongliang Liu; Bo Li; Sanmi Koyejo; Feng Liu (Found. Trends Priv. Secur., 2025)

Redundancy-Adaptive Multimodal Learning for imperfect data. - Mengxi Chen; Jiangchao Yao; Linyu Xing; Yu Wang 027; Ya Zhang 002; Yanfeng Wang 001 (Neural Networks, 2025)

Fairness-guided federated training for generalization and personalization in cross-silo federated learning. - Ruipeng Zhang; Ziqing Fan; Jiangchao Yao; Ya Zhang 002; Yanfeng Wang 001 (Frontiers Inf. Technol. Electron. Eng., 2025)

Serial Low-rank Adaptation of Vision Transformer. - Houqiang Zhong; Shaocheng Shen; Ke Cai; Zhenglong Wu; Jiangchao Yao; Yuan Cheng; Xuefei Li; Xiaoyun Zhang 001; Li Song 001; Qiang Hu 003 (CoRR, 2025)

Learning to Instruct for Visual Instruction Tuning. - Zhihan Zhou 002; Feng Hong 004; Jiaan Luo; Jiangchao Yao; Dongsheng Li; Bo Han 003; Ya Zhang 002; Yanfeng Wang 001 (CoRR, 2025)

Sandbox: safeguarded multi-label learning through safe optimal transport. - Lefei Zhang; Geng Yu; Jiangchao Yao; Yew-Soon Ong; Ivor W. Tsang; James T. Kwok (Mach. Learn., 2025)

Uncover the balanced geometry in long-tailed contrastive language-image pretraining. - Zhihan Zhou 002; Yushi Ye; Feng Hong 004; Peisen Zhao; Jiangchao Yao; Ya Zhang 002; Qi Tian 001; Yanfeng Wang 001 (Mach. Learn., 2025)

G4Seg: Generation for Inexact Segmentation Refinement with Diffusion Models. - Tianjiao Zhang; Fei Zhang 016; Jiangchao Yao; Ya Zhang 002; Yanfeng Wang 001 (CoRR, 2025)

From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information? - Zhanke Zhou; Xiao Feng 003; Zhaocheng Zhu; Jiangchao Yao; Sanmi Koyejo; Bo Han 003 (CoRR, 2025)

MoMa: Modulating Mamba for Adapting Image Foundation Models to Video Recognition. - Yuhuan Yang; Chaofan Ma; Zhenjie Mao; Jiangchao Yao; Ya Zhang 002; Yanfeng Wang 001 (CoRR, 2025)

SLIDE: A Unified Mesh and Texture Generation Framework with Enhanced Geometric Control and Multi-view Consistency. - Jinyi Wang; Zhaoyang Lyu; Ben Fei; Jiangchao Yao; Ya Zhang 002; Bo Dai 002; Dahua Lin; Ying He 001; Yanfeng Wang 001 (Int. J. Comput. Vis., 2025)

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning. - Zihua Zhao; Feng Hong 004; Mengxi Chen; Pengyi Chen; Benyuan Liu; Jiangchao Yao; Ya Zhang 002; Yanfeng Wang 001 (CoRR, 2025)

Wide-In, Narrow-Out: Revokable Decoding for Efficient and Effective DLLMs. - Feng Hong 004; Geng Yu; Yushi Ye; Haicheng Huang; Huangjie Zheng; Ya Zhang 002; Yanfeng Wang 001; Jiangchao Yao (CoRR, 2025)

Innovator: Scientific Continued Pretraining with Fine-grained MoE Upcycling. - Ning Liao; Xiaoxing Wang; Zehao Lin; Weiyang Guo; Feng Hong 004; Shixiang Song; Geng Yu; Zihua Zhao; Sitao Xie; Longxuan Wei; Xiangqi Jin; Xiaohan Qin; et al. (CoRR, 2025)

Decouple before Align: Visual Disentanglement Enhances Prompt Tuning. - Fei Zhang 016; Tianfei Zhou; Jiangchao Yao; Ya Zhang 002; Ivor W. Tsang; Yanfeng Wang 001 (CoRR, 2025)

Co-Reward: Self-supervised Reinforcement Learning for Large Language Model Reasoning via Contrastive Agreement. - Zizhuo Zhang; Jianing Zhu; Xinmu Ge; Zihua Zhao; Zhanke Zhou; Xuan Li 005; Xiao Feng 003; Jiangchao Yao; Bo Han 003 (CoRR, 2025)