Liwei Huang

52 papers A* 4A 1B 1C 1Misc 1Journal 34Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Dual-Policy Fusion for Multitask Multiagent Reinforcement Learning.
IEEE Trans. Cybern.
Yandong Chen, Wei Cheng, Naizhuo Zeng, Mingsheng Fu, Liwei Huang, Hong Qu, Zhang Yi
2026 J jnl
Efficient speech command recognition leveraging spiking neural networks and progressive time-scaled curriculum distillation.
Neural Networks
Jiaqi Wang, Liutao Yu, Liwei Huang, Chenlin Zhou, Han Zhang, Zhenxi Song, Honghai Liu, Min Zhang, Zhengyu Ma, Zhiguo Zhang
2025 J jnl
A fully value distributional deep reinforcement learning framework for multi-agent cooperation.
Neural Networks
Mingsheng Fu, Liwei Huang, Fan Li, Hong Qu, Chengzhong Xu
2025 J jnl
Dual-view collaboration fusion on diffusion learning for bundle recommendation.
Inf. Fusion
Jinpeng Chen, Jinqing Wang, Fan Zhang, Yuan Cao, Kaimin Wei, Liwei Huang, Haoran Zhu, Feifei Kou, Hongben Huang
2025 J jnl
Graph enhanced spatial-temporal transformer for traffic flow forecasting.
Appl. Soft Comput.
Weishan Kong, Yanni Ju, Shiyuan Zhang, Jun Wang, Liwei Huang, Hong Qu
2024 J jnl
A Distributional Perspective on Multiagent Cooperation With Deep Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst.
Liwei Huang, Mingsheng Fu, Ananya Rao, Athirai A. Irissappane, Jie Zhang, Chengzhong Xu
2024 — conf
A Multiscale Resonant Spiking Neural Network for Music Classification.
ICANN (4)
Yuguo Liu, Wenyu Chen, Hanwen Liu, Yun Zhang, Liwei Huang, Hong Qu
2024 J jnl
CLHHN: Category-aware Lossless Heterogeneous Hypergraph Neural Network for Session-based Recommendation.
ACM Trans. Web
Yutao Ma, Zesheng Wang, Liwei Huang, Jian Wang
2024 J jnl
Deep-Learning-Based Semantic Segmentation of Remote Sensing Images: A Survey.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Liwei Huang, Bitao Jiang, Shouye Lv, Yanbo Liu, Ying Fu
2024 J jnl
Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and Methods.
CoRR
Chenlin Zhou, Han Zhang, Liutao Yu, Yumin Ye, Zhaokun Zhou, Liwei Huang, Zhengyu Ma, Xiaopeng Fan, Huihui Zhou, Yonghong Tian
2024 J jnl
Efficient Speech Command Recognition Leveraging Spiking Neural Network and Curriculum Learning-based Knowledge Distillation.
CoRR
Jiaqi Wang, Liutao Yu, Liwei Huang, Chenlin Zhou, Han Zhang, Zhenxi Song, Min Zhang, Zhengyu Ma, Zhiguo Zhang
2024 A* conf
Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex under Movie Stimuli.
NeurIPS
Liwei Huang, Zhengyu Ma, Liutao Yu, Huihui Zhou, Yonghong Tian
2024 A conf
PACIFIC: Enhancing Sequential Recommendation via Preference-aware Causal Intervention and Counterfactual Data Augmentation.
CIKM
Jinpeng Chen, Huachen Guan, Huan Li, Fan Zhang, Liwei Huang, Guangyao Pang, Xiongnan Jin
2024 A* conf
QKFormer: Hierarchical Spiking Transformer using Q-K Attention.
NeurIPS
Chenlin Zhou, Han Zhang, Zhaokun Zhou, Liutao Yu, Liwei Huang, Xiaopeng Fan, Li Yuan, Zhengyu Ma, Huihui Zhou, Yonghong Tian
2024 J jnl
QKFormer: Hierarchical Spiking Transformer using Q-K Attention.
CoRR
Chenlin Zhou, Han Zhang, Zhaokun Zhou, Liutao Yu, Liwei Huang, Xiaopeng Fan, Li Yuan, Zhengyu Ma, Huihui Zhou, Yonghong Tian
2024 J jnl
RGB-guided hyperspectral image super-resolution with deep progressive learning.
CAAI Trans. Intell. Technol.
Tao Zhang, Ying Fu, Liwei Huang, Siyuan Li, Shaodi You, Chenggang Yan
2024 J jnl
SVFormer: A Direct Training Spiking Transformer for Efficient Video Action Recognition.
CoRR
Liutao Yu, Liwei Huang, Chenlin Zhou, Han Zhang, Zhengyu Ma, Huihui Zhou, Yonghong Tian
2024 A* conf
Spiking Transformer with Experts Mixture.
NeurIPS
Zhaokun Zhou, Yijie Lu, Yanhao Jia, Kaiwei Che, Jun Niu, Liwei Huang, Xinyu Shi, Yuesheng Zhu, Guoqi Li, Zhaofei Yu, Li Yuan
2024 J jnl
Time-Dependent VAE for Building Latent Factor from Visual Neural Activity with Complex Dynamics.
CoRR
Liwei Huang, Zhengyu Ma, Liutao Yu, Huihui Zhou, Yonghong Tian
2023 J jnl
A Deep Reinforcement Learning Recommender System With Multiple Policies for Recommendations.
IEEE Trans. Ind. Informatics
Mingsheng Fu, Liwei Huang, Ananya Rao, Athirai A. Irissappane, Jie Zhang, Hong Qu
2023 A* conf
Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse.
AAAI
Liwei Huang, Zhengyu Ma, Liutao Yu, Huihui Zhou, Yonghong Tian
2023 J jnl
Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse.
CoRR
Liwei Huang, Zhengyu Ma, Liutao Yu, Huihui Zhou, Yonghong Tian
2023 J jnl
Deep recurrent spiking neural networks capture both static and dynamic representations of the visual cortex under movie stimuli.
CoRR
Liwei Huang, Zhengyu Ma, Huihui Zhou, Yonghong Tian
2023 J jnl
Position-Enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations.
ACM Trans. Inf. Syst.
Liwei Huang, Yutao Ma, Yanbo Liu, Bohong Danny Du, Shuliang Wang, Deyi Li
2023 J jnl
Regularization-Adapted Anderson Acceleration for multi-agent reinforcement learning.
Knowl. Based Syst.
Siying Wang, Wenyu Chen, Liwei Huang, Fan Zhang, Zhitong Zhao, Hong Qu
2023 — conf
Research of Digitization of Analog Signal.
ICISCAE
Liwei Huang, Yulin Chen, Hui Huang
2023 J jnl
SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence.
CoRR
Wei Fang, Yanqi Chen, Jianhao Ding, Zhaofei Yu, Timothée Masquelier, Ding Chen, Liwei Huang, Huihui Zhou, Guoqi Li, Yonghong Tian
2022 B conf
Adaptive Noise Aggregation Based Secure Image Transmission over Wireless Fading Channels.
WCNC
Liwei Huang, Pinyi Ren, Dongyang Xu
2022 — conf
Cross-locking Enabled Multi-route Fountain Coding for Secure Transmission.
VTC Spring
Liwei Huang, Pinyi Ren, Dongyang Xu
2022 J jnl
Deep Reinforcement Learning Framework for Category-Based Item Recommendation.
IEEE Trans. Cybern.
Mingsheng Fu, Anubha Agrawal, Athirai A. Irissappane, Jie Zhang, Liwei Huang, Hong Qu
2022 — conf
The Design of Epidemic Prevention Robot Based on Deep Learning.
ICISCAE
Lizhen Zhang, Guochun Li, Mimi Wang, Ying Zheng, Liwei Huang, Yulin Chen
2021 J jnl
A deep reinforcement learning based long-term recommender system.
Knowl. Based Syst.
Liwei Huang, Mingsheng Fu, Fan Li, Hong Qu, Yangjun Liu, Wenyu Chen
2021 J jnl
A deep reinforcement learning-based method applied for solving multi-agent defense and attack problems.
Expert Syst. Appl.
Liwei Huang, Mingsheng Fu, Hong Qu, Siying Wang, Shangqian Hu
2021 J jnl
An Attention-Based Spatiotemporal LSTM Network for Next POI Recommendation.
IEEE Trans. Serv. Comput.
Liwei Huang, Yutao Ma, Shibo Wang, Yanbo Liu
2021 J jnl
DAN-SNR: A Deep Attentive Network for Social-aware Next Point-of-interest Recommendation.
ACM Trans. Internet Techn.
Liwei Huang, Yutao Ma, Yanbo Liu, Keqing He
2021 J jnl
Diagnosis of cervical plexus tumours by high-frequency ultrasonography.
BMC Medical Imaging
Wenqing Gong, Jing Wang, Liwei Huang, Xu Yang, Dingzhang Chen, Minjuan Zheng
2021 J jnl
Position-enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations.
CoRR
Liwei Huang, Yutao Ma, Yanbo Liu, Shuliang Wang, Deyi Li
2020 J jnl
DAN-SNR: A Deep Attentive Network for Social-Aware Next Point-of-Interest Recommendation.
CoRR
Liwei Huang, Yutao Ma, Yanbo Liu, Keqing He
2020 J jnl
Multi-modal Bayesian embedding for point-of-interest recommendation on location-based cyber-physical-social networks.
Future Gener. Comput. Syst.
Liwei Huang, Yutao Ma, Yanbo Liu, Arun Kumar Sangaiah
2019 — conf
A radio environment map construction scheme with hidden Markov Model based spectrum occupancy prediction.
HP3C
Liwei Huang, Wei Shao, Yan Zhang, Junlin Yang, Yaxiang Liu
2018 J jnl
Multi-Type UAVs Cooperative Task Allocation Under Resource Constraints.
IEEE Access
Liwei Huang, Hong Qu, Lin Zuo
2018 — conf
Reinforcement Learning for Mobile Robot Obstacle Avoidance Under Dynamic Environments.
PRICAI (1)
Liwei Huang, Hong Qu, Mingsheng Fu, Wu Deng
2017 — conf
Analysis of an epidemiological model with sub-optimal immune reaction and nonlinear incidence rate.
ICNC-FSKD
Liwei Huang, Jianhua Pang, Chunmiao Wei, Xun Zhong
2016 J jnl
A Method for Predicting Wikipedia Editors' Editing Interest: Based on a Factor Graph Model.
Int. J. Web Serv. Res.
Haisu Zhang, Sheng Zhang, Zhaolin Wu, Liwei Huang, Yutao Ma
2016 J jnl
A novel coordinated path planning method using k-degree smoothing for multi-UAVs.
Appl. Soft Comput.
Liwei Huang, Hong Qu, Peng Ji, Xintong Liu, Zhen Fan
2016 — conf
Social Influence Analysis Based on Modeling Interactions in Dynamic Social Networks: A Case Study.
ICCCS (2)
Liwei Huang, Yutao Ma, Yanbo Liu
2014 J jnl
Community discovery and importance analysis in social network.
Intell. Data Anal.
GuoPeng Li, Zhisong Pan, Bo Xiao, Liwei Huang
2014 — conf
Predicting Wikipedia Editor's Editing Interest Based on Factor Graph Model.
BigData Congress
Haisu Zhang, Sheng Zhang, Zhaolin Wu, Liwei Huang, Yutao Ma
2013 J jnl
Enhancing recommender systems by incorporating social information.
J. Zhejiang Univ. Sci. C
Liwei Huang, Guisheng Chen, Yu-Chao Liu, Deyi Li
2012 — conf
From turing machine intelligence to collective intelligence.
CCIS
Liwei Huang, Haisu Zhang, Guisheng Chen, Yuchao Liu, Deyi Li
2012 C conf
Interaction and Collective Intelligence on the Internet.
TAMC
Deyi Li, Liwei Huang
2011 Misc conf
There exist correlations between editing behaviors and hyperlinks structure in Wikipedia.
GrC
Haisu Zhang, Liwei Huang, Deyi Li, Bojin Zheng