Jialiang Tang

51 papers A* 3A 1B 3C 10Misc 1Journal 13Unranked 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
SAQNN: Spectral Adaptive Quantum Neural Network as a Universal Approximator.
CoRR
Jialiang Tang, Jialin Zhang, Xiaoming Sun
2026 J jnl
TimeAPN: Adaptive Amplitude-Phase Non-Stationarity Normalization for Time Series Forecasting.
CoRR
Yue Hu, Jialiang Tang, Siwei Yu, Baosheng Yu, Jing Zhang, Dacheng Tao
2025 A* conf
Empowering Large Language Models for Time Series Forecasting with Patterns and Semantics.
ICDM
Jialiang Tang, Shuo Chen, Chen Gong, Jing Zhang, Dacheng Tao
2025 A* conf
Hybrid Data-Free Knowledge Distillation.
AAAI
Jialiang Tang, Shuo Chen, Chen Gong
2025 J jnl
LLM-PS: Empowering Large Language Models for Time Series Forecasting with Temporal Patterns and Semantics.
CoRR
Jialiang Tang, Shuo Chen, Chen Gong, Jing Zhang, Dacheng Tao
2025 Misc conf
Learn from Balance: Rectifying Knowledge Transfer for Long-Tailed Scenarios.
ICASSP
Xinlei Huang, Jialiang Tang, Xubin Zheng, Jinjia Zhou, Wenxin Yu, Ning Jiang
2025 J jnl
Quantum circuit synthesis with SQiSW.
Quantum
Jialiang Tang, Jialin Zhang, Xiaoming Sun
2025 J jnl
YGDD-SLAM: Direct Geometric Constraint SLAM Based on Object Detection and Depth Image Segmentation.
J. Field Robotics
Peng Liao, Liheng Chen, Jialiang Tang, Zhengyong Feng
2024 J jnl
A Real-Time Road Scene Semantic Segmentation Model Based on Spatial Context Learning.
IEEE Access
Xiaomei Xiao, Jialiang Tang, Xiaoyan Lu, Zhengyong Feng, Yi Li
2024 C conf
Adaptive Informative Semantic Knowledge Transfer for Knowledge Distillation.
ISCAS
Ruijian Xu, Ning Jiang, Jialiang Tang, Xinlei Huang
2024 C conf
Amalgamating Knowledge for Comprehensive Classification with Uncertainty Suppression.
ISCAS
Lebin Li, Ning Jiang, Jialiang Tang, Xinlei Huang
2024 B conf
ClearKD: Clear Knowledge Distillation for Medical Image Classification.
IJCNN
Xinlei Huang, Ning Jiang, Jialiang Tang
2024 C conf
Decoupled Multi-teacher Knowledge Distillation based on Entropy.
ISCAS
Xin Cheng, Jialiang Tang, Zhiqiang Zhang, Wenxin Yu, Ning Jiang, Jinjia Zhou
2024 — conf
Direct Distillation Between Different Domains.
ECCV (80)
Jialiang Tang, Shuo Chen, Gang Niu, Hongyuan Zhu, Joey Tianyi Zhou, Chen Gong, Masashi Sugiyama
2024 J jnl
Direct Distillation between Different Domains.
CoRR
Jialiang Tang, Shuo Chen, Gang Niu, Hongyuan Zhu, Joey Tianyi Zhou, Chen Gong, Masashi Sugiyama
2024 J jnl
Hybrid Data-Free Knowledge Distillation.
CoRR
Jialiang Tang, Shuo Chen, Chen Gong
2024 J jnl
Learn from Balance: Rectifying Knowledge Transfer for Long-Tailed Scenarios.
CoRR
Xinlei Huang, Jialiang Tang, Xubin Zheng, Jinjia Zhou, Wenxin Yu, Ning Jiang
2024 J jnl
Learning Student Network Under Universal Label Noise.
IEEE Trans. Image Process.
Jialiang Tang, Ning Jiang, Hongyuan Zhu, Joey Tianyi Zhou, Chen Gong
2024 A conf
Open-World Semi-Supervised Learning under Compound Distribution Shifts.
BMVC
Shijia Xu, Lin Zhao, Jialiang Tang, Guangyu Li, Chen Gong
2024 — conf
Virtual Student Distribution Knowledge Distillation for Long-Tailed Recognition.
PRCV (4)
Haodong Liu, Xinlei Huang, Jialiang Tang, Ning Jiang
2023 — conf
Correlation Guided Multi-teacher Knowledge Distillation.
ICONIP (4)
Luyao Shi, Ning Jiang, Jialiang Tang, Xinlei Huang
2023 A* conf
Distribution Shift Matters for Knowledge Distillation with Webly Collected Images.
ICCV
Jialiang Tang, Shuo Chen, Gang Niu, Masashi Sugiyama, Chen Gong
2023 J jnl
Distribution Shift Matters for Knowledge Distillation with Webly Collected Images.
CoRR
Jialiang Tang, Shuo Chen, Gang Niu, Masashi Sugiyama, Chen Gong
2023 — conf
Dy-KD: Dynamic Knowledge Distillation for Reduced Easy Examples.
ICONIP (12)
Cheng Lin, Ning Jiang, Jialiang Tang, Xinlei Huang, Wenqing Wu
2023 — conf
Dynamic Feature Distillation.
ICONIP (13)
Xinlei Huang, Ning Jiang, Jialiang Tang, Wenqing Wu
2023 — conf
Feature Reconstruction Distillation with Self-attention.
ICONIP (12)
Cheng Lin, Ning Jiang, Jialiang Tang, Xinlei Huang
2023 — conf
Joint Regularization Knowledge Distillation.
ICONIP (12)
Haifeng Qing, Ning Jiang, Jialiang Tang, Xinlei Huang, Wengqing Wu
2023 — conf
Knowledge Distillation via Information Matching.
ICONIP (4)
Honglin Zhu, Ning Jiang, Jialiang Tang, Xinlei Huang
2023 J jnl
Positive-Unlabeled Learning for Knowledge Distillation.
Neural Process. Lett.
Ning Jiang, Jialiang Tang, Wenxin Yu
2022 — conf
Cross-Layer Fusion for Feature Distillation.
ICONIP (4)
Honglin Zhu, Ning Jiang, Jialiang Tang, Xinlei Huang, Haifeng Qing, Wenqing Wu, Peng Zhang
2022 — conf
Cut-controller: An Effective Framework for Chinese Text Classification.
ICMSSP
Jiawei Sun, Ning Jiang, Jialiang Tang
2022 C conf
Improve 3D Feature Extraction and Fusion for Stage Diagnosis of Alzheimer's Disease.
ISCAS
Mingjin Liu, Wenxin Yu, Jialiang Tang, Ning Jiang, Kang Xu, Chang Liu
2022 — conf
Optimizing Knowledge Distillation via Shallow Texture Knowledge Transfer.
ICONIP (4)
Xinlei Huang, Jialiang Tang, Haifeng Qing, Honglin Zhu, Ning Jiang, Wenqing Wu, Peng Zhang
2022 — conf
Stimulates Potential for Knowledge Distillation.
ICANN (4)
Haifeng Qing, Jialiang Tang, Xiaoyan Yang, Xinlei Huang, Honglin Zhu, Ning Jiang
2021 — conf
Attention-Based 3D ResNet for Detection of Alzheimer's Disease Process.
ICONIP (1)
Mingjin Liu, Jialiang Tang, Wenxin Yu, Ning Jiang
2021 — conf
Consistent Knowledge Distillation Based on Siamese Networks.
ICONIP (5)
Jialiang Tang, Xiaoyan Yang, Xin Cheng, Ning Jiang, Wenxin Yu, Peng Zhang
2021 — conf
Data-Free Knowledge Distillation with Positive-Unlabeled Learning.
ICONIP (2)
Jialiang Tang, Xiaoyan Yang, Xin Cheng, Ning Jiang, Wenxin Yu, Peng Zhang
2021 C conf
Data-Free Network Pruning for Model Compression.
ISCAS
Jialiang Tang, Mingjin Liu, Ning Jiang, Huan Cai, Wenxin Yu, Jinjia Zhou
2021 B conf
Gradient Local Binary Pattern For Convolutional Neural Networks.
ICIP
Jialiang Tang, Ning Jiang, Wenxin Yu
2021 C conf
Gradient Local Binary Pattern Layer to Initialize the Convolutional Neural Networks.
ISCAS
Ning Jiang, Jialiang Tang, Wenxin Yu, Jinjia Zhou, Liuwei Mai
2021 — conf
Improving Shallow Neural Networks via Local and Global Normalization.
ICONIP (1)
Ning Jiang, Jialiang Tang, Xiaoyan Yang, Wenxin Yu, Peng Zhang
2021 C conf
Knowledge Distillation Based on Positive-Unlabeled Classification and Attention Mechanism.
ISCAS
Jialiang Tang, Mingjin Liu, Ning Jiang, Wenxin Yu, Changzheng Yang, Jinjia Zhou
2021 C conf
Local Feature Normalization.
KSEM
Ning Jiang, Jialiang Tang, Wenxin Yu, Jinjia Zhou
2021 C conf
Spatial and Channel Dimensions Attention Feature Transfer for Better Convolutional Neural Networks.
ISCAS
Jialiang Tang, Mingjin Liu, Ning Jiang, Wenxin Yu, Changzheng Yang
2021 C conf
The Detection of Attentive Mental State Using a Mixed Neural Network Model.
ISCAS
Huan Cai, Jialiang Tang, Yihan Wu, Min Xia, Gang He, Yangsong Zhang
2021 B conf
Triplet Knowledge Distillation Networks for Model Compression.
IJCNN
Jialiang Tang, Ning Jiang, Wenxin Yu, Wenqin Wu
2021 — conf
Triplet Mapping for Continuously Knowledge Distillation.
ICONIP (1)
Xiaoyan Yang, Jialiang Tang, Ning Jiang, Wenxin Yu, Peng Zhang
2021 — conf
Using a Two-Stage GAN to Learn Image Degradation for Image Super-Resolution.
ICONIP (5)
Jiarui Cheng, Ning Jiang, Jialiang Tang, Xin Deng, Wenxin Yu, Peng Zhang
2020 — conf
Customizable GAN: Customizable Image Synthesis Based on Adversarial Learning.
ICONIP (4)
Zhiqiang Zhang, Wenxin Yu, Jinjia Zhou, Xuewen Zhang, Jialiang Tang, Siyuan Li, Ning Jiang, Gang He, Gang He, Zhuo Yang
2020 — conf
Search-and-Train: Two-Stage Model Compression and Acceleration.
ICONIP (5)
Ning Jiang, Jialiang Tang, Zhiqiang Zhang, Wenxin Yu, Xin Deng, Jinjia Zhou
2020 J jnl
Two-Stage Model Compression and Acceleration: Optimal Student Network for Better Performance.
IEEE Access
Jialiang Tang, Ning Jiang, Wenxin Yu, Jinjia Zhou, Liuwei Mai