Sheng-Jun Huang

172 papers A* 56A 4B 2Misc 1Journal 98Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Active Learning for Multiple Target Models.
IEEE Trans. Pattern Anal. Mach. Intell.
Sheng-Jun Huang, Yi Li, Ying-Peng Tang
2026 J jnl
Analytical Survey of Learning with Low-Resource Data: From Analysis to Investigation.
ACM Comput. Surv.
Xiaofeng Cao, Mingwei Xu, Xin Yu, Jiangchao Yao, Wei Ye, Sheng-Jun Huang, Min-Ling Zhang, Ivor W. Tsang, Yew-Soon Ong, James T. Kwok, Heng Tao Shen
2026 J jnl
Beyond Superficial Unlearning: Sharpness-Aware Robust Erasure of Hallucinations in Multimodal LLMs.
CoRR
Xianya Fang, Feiyang Ren, Xiang Chen, Yu Tian, Zhen Bi, Haiyang Yu, Sheng-Jun Huang
2026 J jnl
Compress the Easy, Explore the Hard: Difficulty-Aware Entropy Regularization for Efficient LLM Reasoning.
CoRR
Qin-Wen Luo, Sheng Ren, Xiang Chen, Rui Liu, Jun Fang, Naiqiang Tan, Sheng-Jun Huang
2026 J jnl
Continuous Exposure-Time Modeling for Realistic Atmospheric Turbulence Synthesis.
CoRR
Junwei Zeng, Dong Liang, Sheng-Jun Huang, Kun Zhan, Songcan Chen
2026 J jnl
Federated Active Learning Under Extreme Non-IID and Global Class Imbalance.
CoRR
Chen-Chen Zong, Sheng-Jun Huang
2026 J jnl
History-Guided Iterative Visual Reasoning with Self-Correction.
CoRR
Xinglong Yang, Zhilin Peng, Zhanzhan Liu, Haochen Shi, Sheng-Jun Huang
2026 J jnl
ItemRAG: Retrieval-Augmented Generation with Item-Based Knowledge Computing for E-Commerce Product Question Answering.
Big Data Min. Anal.
Changliang Xu, Yukun Kang, Quan Feng, Jinghua Hua, Piji Li, Feiran Wu, Hu Wei, Xiang Chen, Sheng-Jun Huang, Songcan Chen
2026 A* conf
MultiMedBench: A Scenario-Aware Benchmark for Evaluating Knowledge Editing in Medical VQA.
AAAI
Shengtao Wen, Haodong Chen, Yadong Wang, Zhongying Pan, Xiang Chen, Yu Tian, Bo Qian, Dong Liang, Sheng-Jun Huang
2026 A* conf
Reflect Then Learn: Active Prompting for Information Extraction Guided by Introspective Confusion.
AAAI
Dong Zhao, Yadong Wang, Xiang Chen, Chenxi Wang, Hongliang Dai, Chuanxing Geng, Shengzhong Zhang, Shaoyuan Li, Sheng-Jun Huang
2026 J jnl
Revisiting Unknowns: Towards Effective and Efficient Open-Set Active Learning.
CoRR
Chen-Chen Zong, Yu-Qi Chi, Xie-Yang Wang, Yan Cui, Sheng-Jun Huang
2026 J jnl
SafeThinker: Reasoning about Risk to Deepen Safety Beyond Shallow Alignment.
CoRR
Xianya Fang, Xianying Luo, Yadong Wang, Xiang Chen, Yu Tian, Zequn Sun, Rui Liu, Jun Fang, Naiqiang Tan, Yuanning Cui, Sheng-Jun Huang
2025 J jnl
A Unified Open Adapter for Open-World Noisy Label Learning: Data-Centric and Learning-Based Insights.
IEEE Trans. Circuits Syst. Video Technol.
Chen-Chen Zong, Penghui Yang, Ming-Kun Xie, Sheng-Jun Huang
2025 J jnl
Aesthetics-Guided Low-Light Enhancement.
IEEE Trans. Pattern Anal. Mach. Intell.
Dong Liang, Yuanhang Gao, Ling Li, Zhengyan Xu, Sheng-Jun Huang, Songcan Chen
2025 A conf
Conservative Query and Adaptive Regularization for Offline RL under Uncertainty Estimation.
ECAI
Li-Rong Zhou, Qin-Wen Luo, Sheng-Jun Huang
2025 J jnl
Continual learning in the presence of repetition.
Neural Networks
Hamed Hemati, Lorenzo Pellegrini, Xiaotian Duan, Zixuan Zhao, Fangfang Xia, Marc Masana, Benedikt Tscheschner, Eduardo E. Veas, Yuxiang Zheng, Shiji Zhao, Shao-Yuan Li, Sheng-Jun Huang, Vincenzo Lomonaco, Gido M. van de Ven
2025 A* conf
DM-POSA: Enhancing Open-World Test-Time Adaptation with Dual-Mode Matching and Prompt-Based Open Set Adaptation.
IJCAI
Shiji Zhao, Shao-Yuan Li, Chuanxing Geng, Sheng-Jun Huang, Songcan Chen
2025 B conf
Data-efficient LLM Fine-tuning for Code Generation.
IJCNN
Weijie Lv, Xuan Xia, Sheng-Jun Huang
2025 J jnl
Data-efficient LLM Fine-tuning for Code Generation.
CoRR
Weijie Lv, Xuan Xia, Sheng-Jun Huang
2025 J jnl
Diffusion-Noise-Based Augmentation for Long-Tailed Remote Sensing Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Qianqian Wang, Haibo Ye, Dong Liang, Sheng-Jun Huang
2025 — conf
Dual-Head Knowledge Distillation: Enhancing Logits Utilization with an Auxiliary Head.
KDD (2)
Penghui Yang, Chen-Chen Zong, Sheng-Jun Huang, Lei Feng, Bo An
2025 J jnl
Efficient Code LLM Training via Distribution-Consistent and Diversity-Aware Data Selection.
CoRR
Weijie Lyu, Sheng-Jun Huang, Xuan Xia
2025 A* conf
Efficient Heterogeneity-Aware Federated Active Data Selection.
ICML
Ying-Peng Tang, Chao Ren, Xiaoli Tang, Sheng-Jun Huang, Lizhen Cui, Han Yu
2025 B conf
FLAIN: Mitigating Backdoor Attacks in Federated Learning via Flipping Weight Updates of Low-Activation Input Neurons.
ICMR
Binbin Ding, Penghui Yang, Sheng-Jun Huang
2025 A* conf
FedDLAD: A Federated Learning Dual-Layer Anomaly Detection Framework for Enhancing Resilience Against Backdoor Attacks.
IJCAI
Binbin Ding, Penghui Yang, Sheng-Jun Huang
2025 — conf
Graph-guided Cross-composition Feature Disentanglement for Compositional Zero-shot Learning.
ACL (Findings)
Yuxia Geng, Runkai Zhu, Jiaoyan Chen, Jintai Chen, Xiang Chen, Zhuo Chen, Shuofei Qiao, Yuxiang Wang, Xiaoliang Xu, Sheng-Jun Huang
2025 J jnl
Handling Noisy Annotation for Remote Sensing Semantic Segmentation via Boundary-Aware Knowledge Distillation.
IEEE Trans. Geosci. Remote. Sens.
Yue Sun, Dong Liang, Shao-Yuan Li, Songcan Chen, Sheng-Jun Huang
2025 J jnl
Image Lens Flare Removal Using Adversarial Curve Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Yuyan Zhou, Dong Liang, Songcan Chen, Sheng-Jun Huang
2025 A* conf
Improving Generalization of Deep Neural Networks by Optimum Shifting.
AAAI
Yuyan Zhou, Ye Li, Lei Feng, Sheng-Jun Huang
2025 A* conf
Inconsistency-Based Federated Active Learning.
IJCAI
Chen-Chen Zong, Tong Jin, Sheng-Jun Huang
2025 J jnl
Interactive Large Language Models for Reliable Answering under Incomplete Context.
Trans. Mach. Learn. Res.
Jing-Cheng Pang, Heng-Bo Fan, Pengyuan Wang, Jiahao Xiao, Nan Tang, Si-Hang Yang, Chengxing Jia, Ming-Kun Xie, Xiang Chen, Sheng-Jun Huang, Yang Yu
2025 A* conf
Learning to Trust Bellman Updates: Selective State-Adaptive Regularization for Offline RL.
ICML
Qin-Wen Luo, Ming-Kun Xie, Ye-Wen Wang, Sheng-Jun Huang
2025 J jnl
Learning to Trust Bellman Updates: Selective State-Adaptive Regularization for Offline RL.
CoRR
Qin-Wen Luo, Ming-Kun Xie, Ye-Wen Wang, Sheng-Jun Huang
2025 Misc conf
Learning with Partial Labels from Conflict-Free and Semi-Supervised Perspective.
ICASSP
Chen-Chen Zong, Sheng-Jun Huang
2025 A* conf
MLC-NC: Long-Tailed Multi-Label Image Classification Through the Lens of Neural Collapse.
AAAI
Zijian Tao, Shao-Yuan Li, Wenhai Wan, Jinpeng Zheng, Jia-Yao Chen, Yuchen Li, Sheng-Jun Huang, Songcan Chen
2025 J jnl
MultiMedEdit: A Scenario-Aware Benchmark for Evaluating Knowledge Editing in Medical VQA.
CoRR
Shengtao Wen, Haodong Chen, Yadong Wang, Zhongying Pan, Xiang Chen, Yu Tian, Bo Qian, Dong Liang, Sheng-Jun Huang
2025 J jnl
Prototypes as Anchors: Tackling Unseen Noise for online continual learning.
Neural Networks
Shaoyuan Li, Yuxiang Zheng, Sheng-Jun Huang, Songcan Chen, Kangkan Wang
2025 J jnl
Reflect then Learn: Active Prompting for Information Extraction Guided by Introspective Confusion.
CoRR
Dong Zhao, Yadong Wang, Xiang Chen, Chenxi Wang, Hongliang Dai, Chuanxing Geng, Shengzhong Zhang, Shaoyuan Li, Sheng-Jun Huang
2025 J jnl
Representation-Level Counterfactual Calibration for Debiased Zero-Shot Recognition.
CoRR
Pei Peng, Ming-Kun Xie, Hang Hao, Tong Jin, Sheng-Jun Huang
2025 A* conf
Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach.
CVPR
Chen-Chen Zong, Sheng-Jun Huang
2025 J jnl
Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach.
CoRR
Chen-Chen Zong, Sheng-Jun Huang
2025 J jnl
Retrieval-augmented Prompt Learning for Pre-trained Foundation Models.
CoRR
Xiang Chen, Yixin Ou, Quan Feng, Lei Li, Piji Li, Haibo Ye, Sheng-Jun Huang, Shuofei Qiao, Shumin Deng, Huajun Chen, Ningyu Zhang
2025 J jnl
Robust domain adaptation with noisy and shifted label distribution.
Frontiers Comput. Sci.
Shao-Yuan Li, Shi-Ji Zhao, Zheng-Tao Cao, Sheng-Jun Huang, Songcan Chen
2025 A* conf
StructSR: Refuse Spurious Details in Real-World Image Super-Resolution.
AAAI
Yachao Li, Dong Liang, Tianyu Ding, Sheng-Jun Huang
2025 J jnl
StructSR: Refuse Spurious Details in Real-World Image Super-Resolution.
CoRR
Yachao Li, Dong Liang, Tianyu Ding, Sheng-Jun Huang
2025 J jnl
Tailored Teaching with Balanced Difficulty: Elevating Reasoning in Multimodal Chain-of-Thought via Prompt Curriculum.
CoRR
Xinglong Yang, Quan Feng, Zhongying Pan, Xiang Chen, Yu Tian, Wentong Li, Shuofei Qiao, Yuxia Geng, Xingyu Zhao, Sheng-Jun Huang
2025 J jnl
VI-PINNs: Variance-involved physics-informed neural networks for fast and accurate prediction of partial differential equations.
Neurocomputing
Bin Shan, Ye Li, Sheng-Jun Huang
2024 J jnl
A Deep Model for Partial Multi-label Image Classification with Curriculum-based Disambiguation.
Mach. Intell. Res.
Feng Sun, Ming-Kun Xie, Sheng-Jun Huang
2024 A* conf
Asymmetric Beta Loss for Evidence-Based Safe Semi-Supervised Multi-Label Learning.
KDD
Hao-Zhe Liu, Ming-Kun Xie, Chen-Chen Zong, Sheng-Jun Huang
2024 J jnl
Bidirectional Uncertainty-Based Active Learning for Open Set Annotation.
CoRR
Chen-Chen Zong, Ye-Wen Wang, Kun-Peng Ning, Haibo Ye, Sheng-Jun Huang
2024 — conf
Bidirectional Uncertainty-Based Active Learning for Open-Set Annotation.
ECCV (28)
Chen-Chen Zong, Ye-Wen Wang, Kun-Peng Ning, Haibo Ye, Sheng-Jun Huang
2024 A* conf
Causality-enhanced Discreted Physics-informed Neural Networks for Predicting Evolutionary Equations.
IJCAI
Ye Li, Siqi Chen, Bin Shan, Sheng-Jun Huang
2024 J jnl
CodeACT: Code Adaptive Compute-efficient Tuning Framework for Code LLMs.
CoRR
Weijie Lv, Xuan Xia, Sheng-Jun Huang
2024 J jnl
Context-Based Semantic-Aware Alignment for Semi-Supervised Multi-Label Learning.
CoRR
Heng-Bo Fan, Ming-Kun Xie, Jiahao Xiao, Sheng-Jun Huang
2024 J jnl
Continual Learning in the Presence of Repetition.
CoRR
Hamed Hemati, Lorenzo Pellegrini, Xiaotian Duan, Zixuan Zhao, Fangfang Xia, Marc Masana, Benedikt Tscheschner, Eduardo E. Veas, Yuxiang Zheng, Shiji Zhao, Shao-Yuan Li, Sheng-Jun Huang, Vincenzo Lomonaco, Gido M. van de Ven
2024 A* conf
Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training.
ICML
Ming-Kun Xie, Jiahao Xiao, Pei Peng, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang
2024 J jnl
Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training.
CoRR
Ming-Kun Xie, Jiahao Xiao, Pei Peng, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang
2024 J jnl
Denoised Graph Collaborative Filtering via Neighborhood Similarity and Dynamic Thresholding.
IEEE Trans. Big Data
Haibo Ye, Lijun Zhang, Yuan Yao, Sheng-Jun Huang
2024 A conf
Dirichlet-Based Coarse-to-Fine Example Selection For Open-Set Annotation.
ICME
Ye-Wen Wang, Chen-Chen Zong, Ming-Kun Xie, Sheng-Jun Huang
2024 J jnl
Dirichlet-Based Coarse-to-Fine Example Selection For Open-Set Annotation.
CoRR
Ye-Wen Wang, Chen-Chen Zong, Ming-Kun Xie, Sheng-Jun Huang
2024 A* conf
Dirichlet-Based Prediction Calibration for Learning with Noisy Labels.
AAAI
Chen-Chen Zong, Ye-Wen Wang, Ming-Kun Xie, Sheng-Jun Huang
2024 J jnl
Dirichlet-Based Prediction Calibration for Learning with Noisy Labels.
CoRR
Chen-Chen Zong, Ye-Wen Wang, Ming-Kun Xie, Sheng-Jun Huang
2024 J jnl
Dual-Decoupling Learning and Metric-Adaptive Thresholding for Semi-Supervised Multi-Label Learning.
CoRR
Jiahao Xiao, Ming-Kun Xie, Heng-Bo Fan, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang
2024 — conf
Dual-Decoupling Learning and Metric-Adaptive Thresholding for Semi-supervised Multi-label Learning.
ECCV (52)
Jiahao Xiao, Ming-Kun Xie, Heng-Bo Fan, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang
2024 J jnl
Dual-Head Knowledge Distillation: Enhancing Logits Utilization with an Auxiliary Head.
CoRR
Penghui Yang, Chen-Chen Zong, Sheng-Jun Huang, Lei Feng, Bo An
2024 J jnl
Empowering Language Models with Active Inquiry for Deeper Understanding.
CoRR
Jing-Cheng Pang, Heng-Bo Fan, Pengyuan Wang, Jiahao Xiao, Nan Tang, Si-Hang Yang, Chengxing Jia, Sheng-Jun Huang, Yang Yu
2024 J jnl
Improving Generalization of Deep Neural Networks by Optimum Shifting.
CoRR
Yuyan Zhou, Ye Li, Lei Feng, Sheng-Jun Huang
2024 A* conf
NanoAdapt: Mitigating Negative Transfer in Test Time Adaptation with Extremely Small Batch Sizes.
IJCAI
Shiji Zhao, Shao-Yuan Li, Sheng-Jun Huang
2024 A* conf
One-shot Active Learning Based on Lewis Weight Sampling for Multiple Deep Models.
ICLR
Sheng-Jun Huang, Yi Li, Yiming Sun, Ying-Peng Tang
2024 J jnl
One-shot Active Learning Based on Lewis Weight Sampling for Multiple Deep Models.
CoRR
Sheng-Jun Huang, Yi Li, Yiming Sun, Ying-Peng Tang
2024 A* conf
Optimistic Critic Reconstruction and Constrained Fine-Tuning for General Offline-to-Online RL.
NeurIPS
Qin-Wen Luo, Ming-Kun Xie, Ye-Wen Wang, Sheng-Jun Huang
2024 J jnl
Optimistic Critic Reconstruction and Constrained Fine-Tuning for General Offline-to-Online RL.
CoRR
Qin-Wen Luo, Ming-Kun Xie, Ye-Wen Wang, Sheng-Jun Huang
2024 J jnl
Relative Difficulty Distillation for Semantic Segmentation.
CoRR
Dong Liang, Yue Sun, Yun Du, Songcan Chen, Sheng-Jun Huang
2024 J jnl
Relative difficulty distillation for semantic segmentation.
Sci. China Inf. Sci.
Dong Liang, Yue Sun, Yun Du, Songcan Chen, Sheng-Jun Huang
2024 J jnl
Sequential Cooperative Distillation for Imbalanced Multi-Task Learning.
J. Comput. Sci. Technol.
Quan Feng, Jia-Yu Yao, Ming-Kun Xie, Sheng-Jun Huang, Songcan Chen
2024 J jnl
UNM: A Universal Approach for Noisy Multi-Label Learning.
IEEE Trans. Knowl. Data Eng.
Jia-Yao Chen, Shao-Yuan Li, Sheng-Jun Huang, Songcan Chen, Lei Wang, Ming-Kun Xie
2024 A* conf
Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning.
AAAI
Wenhai Wan, Xinrui Wang, Ming-Kun Xie, Shao-Yuan Li, Sheng-Jun Huang, Songcan Chen
2023 A* conf
ALL-E: Aesthetics-guided Low-light Image Enhancement.
IJCAI
Ling Li, Dong Liang, Yuanhang Gao, Sheng-Jun Huang, Songcan Chen
2023 J jnl
ALL-E: Aesthetics-guided Low-light Image Enhancement.
CoRR
Ling Li, Dong Liang, Yuanhang Gao, Sheng-Jun Huang, Songcan Chen
2023 J jnl
CCMN: A General Framework for Learning With Class-Conditional Multi-Label Noise.
IEEE Trans. Pattern Anal. Mach. Intell.
Ming-Kun Xie, Sheng-Jun Huang
2023 J jnl
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label Learning.
CoRR
Ming-Kun Xie, Jiahao Xiao, Hao-Zhe Liu, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang
2023 A* conf
Class-Distribution-Aware Pseudo-Labeling for Semi-Supervised Multi-Label Learning.
NeurIPS
Ming-Kun Xie, Jiahao Xiao, Hao-Zhe Liu, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang
2023 A* conf
Implicit Stochastic Gradient Descent for Training Physics-Informed Neural Networks.
AAAI
Ye Li, Songcan Chen, Sheng-Jun Huang
2023 J jnl
Implicit Stochastic Gradient Descent for Training Physics-informed Neural Networks.
CoRR
Ye Li, Songcan Chen, Sheng-Jun Huang
2023 J jnl
Improving Lens Flare Removal with General Purpose Pipeline and Multiple Light Sources Recovery.
CoRR
Yuyan Zhou, Dong Liang, Songcan Chen, Sheng-Jun Huang, Shuo Yang, Chongyi Li
2023 A* conf
Improving Lens Flare Removal with General-Purpose Pipeline and Multiple Light Sources Recovery.
ICCV
Yuyan Zhou, Dong Liang, Songcan Chen, Sheng-Jun Huang, Shuo Yang, Chongyi Li
2023 J jnl
Learning from crowds with sparse and imbalanced annotations.
Mach. Learn.
Ye Shi, Shao-Yuan Li, Sheng-Jun Huang
2023 J jnl
MUS-CDB: Mixed Uncertainty Sampling With Class Distribution Balancing for Active Annotation in Aerial Object Detection.
IEEE Trans. Geosci. Remote. Sens.
Dong Liang, Jing-Wei Zhang, Ying-Peng Tang, Sheng-Jun Huang
2023 A* conf
Multi-Label Knowledge Distillation.
ICCV
Penghui Yang, Ming-Kun Xie, Chen-Chen Zong, Lei Feng, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang
2023 J jnl
Multi-Label Knowledge Distillation.
CoRR
Penghui Yang, Ming-Kun Xie, Chen-Chen Zong, Lei Feng, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang
2023 J jnl
QBox: Partial Transfer Learning With Active Querying for Object Detection.
IEEE Trans. Neural Networks Learn. Syst.
Ying-Peng Tang, Xiu-Shen Wei, Borui Zhao, Sheng-Jun Huang
2022 J jnl
A Deep Model for Partial Multi-Label Image Classification with Curriculum Based Disambiguation.
CoRR
Feng Sun, Ming-Kun Xie, Sheng-Jun Huang
2022 — conf
A Tailored Physics-informed Neural Network Method for Solving Singularly Perturbed Differential Equations.
ACAI
Yiwen Pang, Ye Li, Sheng-Jun Huang
2022 A* conf
Active Learning for Multiple Target Models.
NeurIPS
Ying-Peng Tang, Sheng-Jun Huang
2022 A* conf
Active Learning for Open-set Annotation.
CVPR
Kun-Peng Ning, Xun Zhao, Yu Li, Sheng-Jun Huang
2022 J jnl
Active Learning for Open-set Annotation.
CoRR
Kun-Peng Ning, Xun Zhao, Yu Li, Sheng-Jun Huang
2022 A* conf
Can Adversarial Training Be Manipulated By Non-Robust Features?
NeurIPS
Lue Tao, Lei Feng, Hongxin Wei, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen
2022 J jnl
Can Adversarial Training Be Manipulated By Non-Robust Features?
CoRR
Lue Tao, Lei Feng, Hongxin Wei, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen
2022 J jnl
Improving deep label noise learning with dual active label correction.
Mach. Learn.
Shaoyuan Li, Ye Shi, Sheng-Jun Huang, Songcan Chen
2022 A* conf
Label-Aware Global Consistency for Multi-Label Learning with Single Positive Labels.
NeurIPS
Ming-Kun Xie, Jiahao Xiao, Sheng-Jun Huang
2022 J jnl
MUS-CDB: Mixed Uncertainty Sampling with Class Distribution Balancing for Active Annotation in Aerial Object Detection.
CoRR
Dong Liang, Jing-Wei Zhang, Ying-Peng Tang, Sheng-Jun Huang
2022 J jnl
Meta Objective Guided Disambiguation for Partial Label Learning.
CoRR
Bo-Shi Zou, Ming-Kun Xie, Sheng-Jun Huang
2022 J jnl
Noise-Robust Bidirectional Learning with Dynamic Sample Reweighting.
CoRR
Chen-Chen Zong, Zheng-Tao Cao, Hong-Tao Guo, Yun Du, Ming-Kun Xie, Shao-Yuan Li, Sheng-Jun Huang
2022 J jnl
Partial Multi-Label Learning With Noisy Label Identification.
IEEE Trans. Pattern Anal. Mach. Intell.
Ming-Kun Xie, Sheng-Jun Huang
2021 A* conf
Asynchronous Active Learning with Distributed Label Querying.
IJCAI
Sheng-Jun Huang, Chen-Chen Zong, Kun-Peng Ning, Haibo Ye
2021 A* conf
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training.
NeurIPS
Lue Tao, Lei Feng, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen
2021 J jnl
CCMN: A General Framework for Learning with Class-Conditional Multi-Label Noise.
CoRR
Ming-Kun Xie, Sheng-Jun Huang
2021 J jnl
Co-Imitation Learning without Expert Demonstration.
CoRR
Kun-Peng Ning, Hu Xu, Kun Zhu, Sheng-Jun Huang
2021 J jnl
Crowdsourcing aggregation with deep Bayesian learning.
Sci. China Inf. Sci.
Shaoyuan Li, Sheng-Jun Huang, Songcan Chen
2021 A* conf
Dual Active Learning for Both Model and Data Selection.
IJCAI
Ying-Peng Tang, Sheng-Jun Huang
2021 A* conf
Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries.
AAAI
Kun-Peng Ning, Lue Tao, Songcan Chen, Sheng-Jun Huang
2021 J jnl
Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries.
CoRR
Kun-Peng Ning, Lue Tao, Songcan Chen, Sheng-Jun Huang
2021 J jnl
Label Distribution Learning with Label Correlations on Local Samples.
IEEE Trans. Knowl. Data Eng.
Xiuyi Jia, Zechao Li, Xiang Zheng, Weiwei Li, Sheng-Jun Huang
2021 J jnl
Learning from Crowds with Sparse and Imbalanced Annotations.
CoRR
Ye Shi, Shao-Yuan Li, Sheng-Jun Huang
2021 A* conf
Multi-Label Learning with Pairwise Relevance Ordering.
NeurIPS
Ming-Kun Xie, Sheng-Jun Huang
2021 J jnl
PU Active Learning for Recommender Systems.
Neural Process. Lett.
Jia-Lue Chen, Jia-Jia Cai, Yuan Jiang, Sheng-Jun Huang
2021 A* conf
Partial Multi-Label Learning with Meta Disambiguation.
KDD
Ming-Kun Xie, Feng Sun, Sheng-Jun Huang
2021 J jnl
Preface.
J. Comput. Sci. Technol.
Min-Ling Zhang, Sheng-Jun Huang, Mingsheng Long
2021 J jnl
Provable Defense Against Delusive Poisoning.
CoRR
Lue Tao, Lei Feng, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen
2021 J jnl
Recent Advances in Open Set Recognition: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell.
Chuanxing Geng, Sheng-Jun Huang, Songcan Chen
2021 J jnl
Visual-guided attentive attributes embedding for zero-shot learning.
Neural Networks
Rui Zhang, Qi Zhu, Xiangyu Xu, Daoqiang Zhang, Sheng-Jun Huang
2021 — conf
Weakly Supervised Crowdsourcing Learning Based on Adversarial Consensus.
CSCI
Meng-Long Wei, Shao-Yuan Li, Sheng-Jun Huang
2020 A* conf
Active Learning with Query Generation for Cost-Effective Text Classification.
AAAI
Yifan Yan, Sheng-Jun Huang, Shaoyi Chen, Meng Liao, Jin Xu
2020 J jnl
Adaptive feature weighting for robust Lp-norm sparse representation with application to biometric image classification.
Int. J. Mach. Learn. Cybern.
Qi Zhu, Nuoya Xu, Sheng-Jun Huang, Jianjun Qian, Daoqiang Zhang
2020 A* conf
Cost-effectively Identifying Causal Effects When Only Response Variable is Observable.
ICML
Tian-Zuo Wang, Xi-Zhu Wu, Sheng-Jun Huang, Zhi-Hua Zhou
2020 — conf
Cross-Task and Cross-Model Active Learning with Meta Features.
ICBDS
Guo-Xiang Li, Yao-Feng Tu, Sheng-Jun Huang
2020 J jnl
Incremental Multi-Label Learning with Active Queries.
J. Comput. Sci. Technol.
Sheng-Jun Huang, Guo-Xiang Li, Wen-Yu Huang, Shao-Yuan Li
2020 J jnl
LGSLRR: Towards fusing discriminative ordinal local and global structured low-rank representation for image recognition.
Inf. Sci.
Qi Zhu, Rui Zhang, Sheng-Jun Huang, Zheng Zhang, Daoqiang Zhang
2020 J jnl
Latent correlation embedded discriminative multi-modal data fusion.
Signal Process.
Qi Zhu, Xiangyu Xu, Ning Yuan, Zheng Zhang, Donghai Guan, Sheng-Jun Huang, Daoqiang Zhang
2020 A* conf
Partial Multi-Label Learning with Noisy Label Identification.
AAAI
Ming-Kun Xie, Sheng-Jun Huang
2020 J jnl
Querying Representative and Informative Super-Pixels for Filament Segmentation in Bioimages.
IEEE ACM Trans. Comput. Biol. Bioinform.
Wei Shao, Sheng-Jun Huang, Mingxia Liu, Daoqiang Zhang
2020 J jnl
Reinforcement Learning with Supervision from Noisy Demonstrations.
CoRR
Kun-Peng Ning, Sheng-Jun Huang
2020 A* conf
Semi-Supervised Partial Multi-Label Learning.
ICDM
Ming-Kun Xie, Sheng-Jun Huang
2020 A* conf
Uncertainty Aware Graph Gaussian Process for Semi-Supervised Learning.
AAAI
Zhao-Yang Liu, Shaoyuan Li, Songcan Chen, Yao Hu, Sheng-Jun Huang
2019 J jnl
ALiPy: Active Learning in Python.
CoRR
Ying-Peng Tang, Guo-Xiang Li, Sheng-Jun Huang
2019 A* conf
Active Sampling for Open-Set Classification without Initial Annotation.
AAAI
Zhao-Yang Liu, Sheng-Jun Huang
2019 — ed.
Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part I
PAKDD (1)
Qiang Yang, Zhi-Hua Zhou, Zhiguo Gong, Min-Ling Zhang, Sheng-Jun Huang
2019 — ed.
Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part II
PAKDD (2)
Qiang Yang, Zhi-Hua Zhou, Zhiguo Gong, Min-Ling Zhang, Sheng-Jun Huang
2019 — ed.
Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part III
PAKDD (3)
Qiang Yang, Zhi-Hua Zhou, Zhiguo Gong, Min-Ling Zhang, Sheng-Jun Huang
2019 J jnl
Fast Multi-Instance Multi-Label Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Sheng-Jun Huang, Wei Gao, Zhi-Hua Zhou
2019 A* conf
Learning Class-Conditional GANs with Active Sampling.
KDD
Ming-Kun Xie, Sheng-Jun Huang
2019 A* conf
Multi-View Active Learning for Video Recommendation.
IJCAI
Jia-Jia Cai, Jun Tang, Qing-Guo Chen, Yao Hu, Xiaobo Wang, Sheng-Jun Huang
2019 A* conf
Self-Paced Active Learning: Query the Right Thing at the Right Time.
AAAI
Ying-Peng Tang, Sheng-Jun Huang
2019 A conf
Towards Identifying Causal Relation Between Instances and Labels.
SDM
Tian-Zuo Wang, Sheng-Jun Huang, Zhi-Hua Zhou
2018 A* conf
Active Feature Acquisition with Supervised Matrix Completion.
KDD
Sheng-Jun Huang, Miao Xu, Ming-Kun Xie, Masashi Sugiyama, Gang Niu, Songcan Chen
2018 J jnl
Active Feature Acquisition with Supervised Matrix Completion.
CoRR
Sheng-Jun Huang, Miao Xu, Ming-Kun Xie, Masashi Sugiyama, Gang Niu, Songcan Chen
2018 A* conf
Cost-Effective Active Learning for Hierarchical Multi-Label Classification.
IJCAI
Yifan Yan, Sheng-Jun Huang
2018 A* conf
Cost-Effective Training of Deep CNNs with Active Model Adaptation.
KDD
Sheng-Jun Huang, Jia-Wei Zhao, Zhao-Yang Liu
2018 J jnl
Cost-Effective Training of Deep CNNs with Active Model Adaptation.
CoRR
Sheng-Jun Huang, Jia-Wei Zhao, Zhao-Yang Liu
2018 J jnl
Cross modal similarity learning with active queries.
Pattern Recognit.
Nengneng Gao, Sheng-Jun Huang, Yifan Yan, Songcan Chen
2018 A* conf
Dual Set Multi-Label Learning.
AAAI
Chong Liu, Peng Zhao, Sheng-Jun Huang, Yuan Jiang, Zhi-Hua Zhou
2018 J jnl
Joint Estimation of Multiple Conditional Gaussian Graphical Models.
IEEE Trans. Neural Networks Learn. Syst.
Feihu Huang, Songcan Chen, Sheng-Jun Huang
2018 A* conf
Partial Multi-Label Learning.
AAAI
Ming-Kun Xie, Sheng-Jun Huang
2018 J jnl
Recent Advances in Open Set Recognition: A Survey.
CoRR
Chuanxing Geng, Sheng-Jun Huang, Songcan Chen
2018 J jnl
WoCE: A framework for Clustering Ensemble by Exploiting the Wisdom of Crowds Theory.
IEEE Trans. Cybern.
Muhammad Yousefnezhad, Sheng-Jun Huang, Daoqiang Zhang
2017 A* conf
Cost-Effective Active Learning from Diverse Labelers.
IJCAI
Sheng-Jun Huang, Jia-Lve Chen, Xin Mu, Zhi-Hua Zhou
2017 A conf
Margin Distribution Logistic Machine.
SDM
Yi Ding, Sheng-Jun Huang, Chen Zu, Daoqiang Zhang
2017 A* conf
Multi-instance multi-label active learning.
IJCAI
Sheng-Jun Huang, Nengneng Gao, Songcan Chen
2016 J jnl
Multi-label active learning by model guided distribution matching.
Frontiers Comput. Sci.
Nengneng Gao, Sheng-Jun Huang, Songcan Chen
2016 A* conf
Transfer Learning with Active Queries from Source Domain.
IJCAI
Sheng-Jun Huang, Songcan Chen
2016 J jnl
WoCE: a framework for clustering ensemble by exploiting the wisdom of Crowds theory.
CoRR
Muhammad Yousefnezhad, Sheng-Jun Huang, Daoqiang Zhang
2015 A* conf
Multi-Label Active Learning: Query Type Matters.
IJCAI
Sheng-Jun Huang, Songcan Chen, Zhi-Hua Zhou
2014 J jnl
Active Learning by Querying Informative and Representative Examples.
IEEE Trans. Pattern Anal. Mach. Intell.
Sheng-Jun Huang, Rong Jin, Zhi-Hua Zhou
2014 A* conf
Fast Multi-Instance Multi-Label Learning.
AAAI
Sheng-Jun Huang, Wei Gao, Zhi-Hua Zhou
2014 J jnl
Genome-Wide Protein Function Prediction through Multi-Instance Multi-Label Learning.
IEEE ACM Trans. Comput. Biol. Bioinform.
Jian-Sheng Wu, Sheng-Jun Huang, Zhi-Hua Zhou
2013 A* conf
Active Query Driven by Uncertainty and Diversity for Incremental Multi-label Learning.
ICDM
Sheng-Jun Huang, Zhi-Hua Zhou
2013 J jnl
Fast Multi-Instance Multi-Label Learning.
CoRR
Sheng-Jun Huang, Zhi-Hua Zhou
2012 A* conf
Multi-Label Learning by Exploiting Label Correlations Locally.
AAAI
Sheng-Jun Huang, Zhi-Hua Zhou
2012 J jnl
Multi-instance multi-label learning.
Artif. Intell.
Zhi-Hua Zhou, Min-Ling Zhang, Sheng-Jun Huang, Yufeng Li
2012 A* conf
Multi-label hypothesis reuse.
KDD
Sheng-Jun Huang, Yang Yu, Zhi-Hua Zhou
2010 — conf
Active Learning by Querying Informative and Representative Examples.
NIPS
Sheng-Jun Huang, Rong Jin, Zhi-Hua Zhou
2008 J jnl
MIML: A Framework for Learning with Ambiguous Objects
CoRR
Zhi-Hua Zhou, Min-Ling Zhang, Sheng-Jun Huang, Yufeng Li