GFlink: An In-Memory Computing Architecture on Heterogeneous CPU-GPU Clusters for Big Data. - Cen Chen 002; Kenli Li 001; Aijia Ouyang; Zhuo Tang; Keqin Li 001 (ICPP, 2016)

DHCRF: A Distributed Conditional Random Field Algorithm on a Heterogeneous CPU-GPU Cluster for Big Data. - Wei Ai 001; Kenli Li 001; Cen Chen 002; Jiwu Peng; Keqin Li 001 (ICDCS, 2017)

A parallel randomized neural network on in-memory cluster computing for big data. - Tongwu Dai; Kenli Li 001; Cen Chen 002 (ICNC-FSKD, 2017)

A parallel approximate SS-ELM algorithm based on MapReduce for large-scale datasets. - Cen Chen 002; Kenli Li 001; Aijia Ouyang; Keqin Li 001 (J. Parallel Distributed Comput., 2017)

GPU-Accelerated Parallel Hierarchical Extreme Learning Machine on Flink for Big Data. - Cen Chen 002; Kenli Li 001; Aijia Ouyang; Zhuo Tang; Keqin Li 001 (IEEE Trans. Syst. Man Cybern. Syst., 2017)

Exploiting Spatio-Temporal Correlations with Multiple 3D Convolutional Neural Networks for Citywide Vehicle Flow Prediction. - Cen Chen 002; Kenli Li 001; Sin G. Teo; Guizi Chen; Xiaofeng Zou; Xulei Yang; Ramaseshan C. Vijay; Jiashi Feng; Zeng Zeng (ICDM, 2018)

FlinkCL: An OpenCL-Based In-Memory Computing Architecture on Heterogeneous CPU-GPU Clusters for Big Data. - Cen Chen 002; Kenli Li 001; Aijia Ouyang; Keqin Li 001 (IEEE Trans. Computers, 2018)

GFlink: An In-Memory Computing Architecture on Heterogeneous CPU-GPU Clusters for Big Data. - Cen Chen 002; Kenli Li 001; Aijia Ouyang; Zeng Zeng; Keqin Li 001 (IEEE Trans. Parallel Distributed Syst., 2018)

Gated Residual Recurrent Graph Neural Networks for Traffic Prediction. - Cen Chen 002; Kenli Li 001; Sin G. Teo; Xiaofeng Zou; Kang Wang; Jie Wang 042; Zeng Zeng (AAAI, 2019)

LHCnn: A Novel Efficient Multivariate Time Series Prediction Framework Utilizing Convolutional Neural Networks. - Chengxi Liu; Kenli Li 001; Jing Liu 032; Cen Chen 002 (HPCC/SmartCity/DSS, 2019)

Multiple convolutional neural networks for multivariate time series prediction. - Kang Wang; Kenli Li 001; Liqian Zhou; Yikun Hu; Zhongyao Cheng; Jing Liu 032; Cen Chen 002 (Neurocomputing, 2019)

An Efficient Low Delay Task Scheduling Algorithm Based on Ant Colony System in Heterogeneous Environments. - Pei Yang; Jing Liu 032; Cen Chen 002; Yucheng Ding; Chunhua Deng; Zeng Zeng (HPCC/DSS/SmartCity, 2020)

A two-stage attention aware method for train bearing shed oil inspection based on convolutional neural networks. - Xiao Fu; Kenli Li 001; Jing Liu 032; Keqin Li 001; Zeng Zeng; Cen Chen 002 (Neurocomputing, 2020)

WiFi-Based Indoor Robot Positioning Using Deep Fuzzy Forests. - Le Zhang 001; Zhenghua Chen; Wei Cui 002; Bing Li 002; Cen Chen 002; Zhiguang Cao; Kaizhou Gao (IEEE Internet Things J., 2020)

A hierarchical deep convolutional neural network and gated recurrent unit framework for structural damage detection. - Jianxi Yang; Likai Zhang; Cen Chen 002; Yangfan Li; Ren Li; Guiping Wang; Shixin Jiang; Zeng Zeng (Inf. Sci., 2020)

Multi-task cascade deep convolutional neural networks for large-scale commodity recognition. - Xiaofeng Zou; Liqian Zhou; Kenli Li 001; Aijia Ouyang; Cen Chen 002 (Neural Comput. Appl., 2020)

Citywide Traffic Flow Prediction Based on Multiple Gated Spatio-temporal Convolutional Neural Networks. - Cen Chen 002; Kenli Li 001; Sin G. Teo; Xiaofeng Zou; Keqin Li 001; Zeng Zeng (ACM Trans. Knowl. Discov. Data, 2020)

DyGNN: Algorithm and Architecture Support of Dynamic Pruning for Graph Neural Networks. - Cen Chen 002; Kenli Li 001; Xiaofeng Zou; Yangfan Li (DAC, 2021)

Work in Progress: Topology-based Multilevel Algorithm for Large-scale Task Scheduling in Clouds. - Minjia Li; Yikun Hu; Cen Chen 002; Zheng Xiao; Chubo Liu; Kenli Li 001 (RTAS, 2021)

Work in Progress: Path-based Graph Partition for Parallel Hardware-accelerated Functional Verification. - Peiying Lin; Kenli Li 001; Zheng Xiao; Cen Chen 002; Siyang Yu (RTAS, 2021)

Introduction to the Special issue on Advances of neurocomputing for smart cities (NEUROCOM for smart cities). - Kenli Li 001; Keqin Li 001; Cen Chen 002; Xiaokang Wang 001 (Neurocomputing, 2021)

Multiple local 3D CNNs for region-based prediction in smart cities. - Yibi Chen; Xiaofeng Zou; Kenli Li 001; Keqin Li 001; Xulei Yang; Cen Chen 002 (Inf. Sci., 2021)

G-CNN and double-referenced thresholding for detecting time series anomalies. - Liping Li; Zean Tian; Kenli Li 001; Cen Chen 002 (J. Intell. Fuzzy Syst., 2021)

Attention-Aware Encoder-Decoder Neural Networks for Heterogeneous Graphs of Things. - Yangfan Li; Cen Chen 002; Mingxing Duan; Zeng Zeng; Kenli Li 001 (IEEE Trans. Ind. Informatics, 2021)

ReGNN: A Redundancy-Eliminated Graph Neural Networks Accelerator. - Cen Chen 002; Kenli Li 001; Yangfan Li; Xiaofeng Zou (HPCA, 2022)

Topology-Aware Quantization Strategy via Personalized PageRank for Graph Neural Networks. - Yuxuan Chen; Yilong Guo; Zeng Zeng; Xiaofeng Zou; Yangfan Li; Cen Chen 002 (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Contrastive R-CNN for Incremental Learning in Object Detection. - Peisheng Qian; Kai Zheng; Cen Chen 002; Zhongyao Cheng; Li Wang 057; Hui Li Tan (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Introduction to the Special Issue on edge intelligence: Neurocomputing meets edge computing. - Zeng Zeng; Cen Chen 002; Bharadwaj Veeravalli; Keqin Li 001; Joey Tianyi Zhou (Neurocomputing, 2022)

Hierarchical Graph Neural Networks for Few-Shot Learning. - Cen Chen 002; Kenli Li 001; Wei Wei 006; Joey Tianyi Zhou; Zeng Zeng (IEEE Trans. Circuits Syst. Video Technol., 2022)

Exploring Structural Knowledge for Automated Visual Inspection of Moving Trains. - Cen Chen 002; Xiaofeng Zou; Zeng Zeng; Zhongyao Cheng; Le Zhang 001; Steven C. H. Hoi (IEEE Trans. Cybern., 2022)

Robust Traffic Prediction From Spatial-Temporal Data Based on Conditional Distribution Learning. - Zeng Zeng; Wei Zhao 035; Peisheng Qian; Yingjie Zhou 001; Ziyuan Zhao; Cen Chen 002; Cuntai Guan (IEEE Trans. Cybern., 2022)

Memory-Assistant Collaborative Language Understanding for Artificial Intelligence of Things. - Ming Yan 007; Cen Chen 002; Jiawei Du; Xi Peng 001; Joey Tianyi Zhou; Zeng Zeng (IEEE Trans. Ind. Informatics, 2022)

Multilevel Attention Based U-Shape Graph Neural Network for Point Clouds Learning. - Xiaofeng Zou; Kenli Li 001; Cen Chen 002 (IEEE Trans. Ind. Informatics, 2022)

A Hybrid Deep Learning Based Framework for Component Defect Detection of Moving Trains. - Cen Chen 002; Kenli Li 001; Zhongyao Cheng; Francesco Piccialli; Steven C. H. Hoi; Zeng Zeng (IEEE Trans. Intell. Transp. Syst., 2022)

Multi-Task Y-Shaped Graph Neural Network for Point Cloud Learning in Autonomous Driving. - Xiaofeng Zou; Kenli Li 001; Yangfan Li; Wei Wei 006; Cen Chen 002 (IEEE Trans. Intell. Transp. Syst., 2022)

Modeling Temporal Patterns with Dilated Convolutions for Time-Series Forecasting. - Yangfan Li; Kenli Li 001; Cen Chen 002; Xu Zhou 001; Zeng Zeng; Keqin Li 001 (ACM Trans. Knowl. Discov. Data, 2022)

Hierarchical Semantic Graph Reasoning for Train Component Detection. - Cen Chen 002; Kenli Li 001; Xiaofeng Zou; Zhongyao Cheng; Wei Wei 006; Qi Tian 001; Zeng Zeng (IEEE Trans. Neural Networks Learn. Syst., 2022)

Latency-Driven Model Placement for Efficient Edge Intelligence Service. - Peiying Lin; Zhichen Shi; Zheng Xiao; Cen Chen 002; Kenli Li 001 (IEEE Trans. Serv. Comput., 2022)

Determinantal point process-based new radio unlicensed link scheduling for multi-access edge computing. - Chigang Xing; Yangfan Li; Cen Chen 002; Fangmin Li; Zeng Zeng; Xiaofeng Zou (World Wide Web, 2022)

CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation. - Lizhao Liu; Zhuangwei Zhuang; Shangxin Huang; Xunlong Xiao; Tianhang Xiang; Cen Chen 002; Jingdong Wang 001; Mingkui Tan (ICCV, 2023)

COCO-TEACH: A Contrastive Co-Teaching Network For Incremental 3D Object Detection. - Zhongyao Cheng; Cen Chen 002; Ziyuan Zhao; Peisheng Qian; Xiaoli Li 001; Xulei Yang (ICIP, 2023)

Spatial and Temporal Dual-Scale Adaptive Pruning for Point Cloud Videos. - Songyu Xie; Jing Liu 032; Cen Chen 002; Zhongyao Cheng (ICPADS, 2023)

Point Cloud Acceleration by Exploiting Geometric Similarity. - Cen Chen 002; Xiaofeng Zou; Hongen Shao; Yangfan Li; Kenli Li 001 (MICRO, 2023)

Intelligent energy-efficient scheduling with ant colony techniques for heterogeneous edge computing. - Jing Liu 032; Pei Yang; Cen Chen 002 (J. Parallel Distributed Comput., 2023)

CoIn: Correlation Induced Clustering for Cognition of High Dimensional Bioinformatics Data. - Zeng Zeng; Ziyuan Zhao; Kaixin Xu; Yangfan Li; Cen Chen 002; Xiaofeng Zou; Yulan Wang; Wei Wei 006; Pierce K. H. Chow; Xiao-Li Li 001 (IEEE J. Biomed. Health Informatics, 2023)

DGSLN: Differentiable graph structure learning neural network for robust graph representations. - Xiaofeng Zou; Kenli Li 001; Cen Chen 002; Xulei Yang; Wei Wei 006; Keqin Li 001 (Inf. Sci., 2023)

CoRec: An Efficient Internet Behavior-based Recommendation Framework with Edge-cloud Collaboration on Deep Convolution Neural Networks. - Yangfan Li; Kenli Li 001; Wei Wei 006; Tianyi Zhou 007; Cen Chen 002 (ACM Trans. Sens. Networks, 2023)

Robust Edge AI for Real-Time Industry 4.0 Applications in 5G Environment. - Xiaofeng Zou; Kenli Li 001; Joey Tianyi Zhou; Wei Wei 006; Cen Chen 002 (IEEE Commun. Stand. Mag., 2023)

Cascade Graph Neural Networks for Few-Shot Learning on Point Clouds. - Yangfan Li; Cen Chen 002; Weiquan Yan; Zhongyao Cheng; Hui Li Tan; Wenjie Zhang 004 (IEEE Trans. Intell. Transp. Syst., 2023)

Learning discriminative multi-relation representations for multimodal sentiment analysis. - Zemin Tang; Qi Xiao; Xu Zhou 001; Yangfan Li; Cen Chen 002; Kenli Li 001 (Inf. Sci., 2023)

Maximizing the number of completed tasks in MEC considering time and energy constraints. - Haijian Yu; Jing Liu 032; Chunhua Deng; Cen Chen 002; Keqin Li 001 (Soft Comput., 2023)

Toward Communication-Efficient Digital Twin via AI-Powered Transmission and Reconstruction. - Mi Li; Cen Chen 002; Xulei Yang; Joey Tianyi Zhou; Tao Zhang 019; Yangfan Li (IEEE J. Sel. Areas Commun., 2023)

Accelerating Attention Mechanism on FPGAs based on Efficient Reconfigurable Systolic Array. - Wenhua Ye; Xu Zhou 001; Joey Zhou; Cen Chen 002; Kenli Li 001 (ACM Trans. Embed. Comput. Syst., 2023)

ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference. - Ziqian Zeng; Yihuai Hong; Hongliang Dai; Huiping Zhuang; Cen Chen 002 (AAAI, 2024)

DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning. - Huiping Zhuang; Run He; Kai Tong; Ziqian Zeng; Cen Chen 002; Zhiping Lin 001 (AAAI, 2024)

Hybrid Explainable Network Intrusion Detection Framework Based on Shapley Additive Explanations. - Sijin Chen; Jing Liu 032; Cen Chen 002; Songyu Xie; Zhongyao Cheng (ISPA, 2024)

GACL: Exemplar-Free Generalized Analytic Continual Learning. - Huiping Zhuang; Yizhu Chen; Di Fang 004; Run He; Kai Tong; Hongxin Wei; Ziqian Zeng; Cen Chen 002 (NeurIPS, 2024)

F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning. - Huiping Zhuang; Yuchen Liu 001; Run He; Kai Tong; Ziqian Zeng; Cen Chen 002; Yi Wang 068; Lap-Pui Chau (NeurIPS, 2024)

HEN: a novel hybrid explainable neural network based framework for robust network intrusion detection. - Wei Wei 006; Sijin Chen; Cen Chen 002; Heshi Wang; Jing Liu 032; Zhongyao Cheng; Xiaofeng Zou (Sci. China Inf. Sci., 2024)

Chimera: A Lossless Decoding Method for Accelerating Large Language Models Inference by Fusing all Tokens. - Ziqian Zeng; Jiahong Yu; Qianshi Pang; Zihao Wang; Huiping Zhuang; Cen Chen 002 (CoRR, 2024)

REAL: Representation Enhanced Analytic Learning for Exemplar-free Class-incremental Learning. - Run He; Huiping Zhuang; Di Fang 004; Yizhu Chen; Kai Tong; Cen Chen 002 (CoRR, 2024)

G-ACIL: Analytic Learning for Exemplar-Free Generalized Class Incremental Learning. - Huiping Zhuang; Yizhu Chen; Di Fang 004; Run He; Kai Tong; Hongxin Wei; Ziqian Zeng; Cen Chen 002 (CoRR, 2024)

AOCIL: Exemplar-free Analytic Online Class Incremental Learning with Low Time and Resource Consumption. - Huiping Zhuang; Yuchen Liu 001; Run He; Kai Tong; Ziqian Zeng; Cen Chen 002; Yi Wang 068; Lap-Pui Chau (CoRR, 2024)

Eraser: Jailbreaking Defense in Large Language Models via Unlearning Harmful Knowledge. - Weikai Lu; Ziqian Zeng; Jianwei Wang; Zhengdong Lu; Zelin Chen; Huiping Zhuang; Cen Chen 002 (CoRR, 2024)

PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration. - Ziqian Zeng; Jianwei Wang; Zhengdong Lu; Huiping Zhuang; Cen Chen 002 (CoRR, 2024)

GenderAlign: An Alignment Dataset for Mitigating Gender Bias in Large Language Models. - Tao Zhang 019; Ziqian Zeng; Yuxiang Xiao; Huiping Zhuang; Cen Chen 002; James R. Foulds; Shimei Pan (CoRR, 2024)

AIR: Analytic Imbalance Rectifier for Continual Learning. - Di Fang 004; Yinan Zhu; Runze Fang; Cen Chen 002; Ziqian Zeng; Huiping Zhuang (CoRR, 2024)

An Intelligent Edge-Cloud Collaborative Framework for Communication Security in Distributed Cyber-Physical Systems. - Cen Chen 002; Yangfan Li; Qinyu Wang; Xulei Yang; Xiaokang Wang 001; Laurence T. Yang (IEEE Netw., 2024)

Efficient Point Cloud Video Recognition via Spatio-Temporal Pruning for MEC-Based Consumer Applications. - Cen Chen 002; Songyu Xie; Jing Liu 032; Zhongyao Cheng; Ziqian Zeng; Huiping Zhuang (IEEE Trans. Consumer Electron., 2024)

Efficient Vision Transformer for Human-Centric AIoT Applications Through Token Tracking Assignment. - Chuang Li 004; Yujie Peng; Gang Liu; Yangfan Li; Xulei Yang; Cen Chen 002 (IEEE Trans. Consumer Electron., 2024)

Toward Compact and Robust Model Learning Under Dynamically Perturbed Environments. - Hui Luo 002; Zhuangwei Zhuang; Yuanqing Li 001; Mingkui Tan; Cen Chen 002; Jianlin Zhang 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Scalable Heterogeneous Scheduling Based Model Parallelism for Real-Time Inference of Large-Scale Deep Neural Networks. - Xiaofeng Zou; Cen Chen 002; Peiying Lin; Luochuan Zhang; Yanwu Xu 001; Wenjie Zhang 004 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

SEA: Low-Resource Safety Alignment for Multimodal Large Language Models via Synthetic Embeddings. - Weikai Lu; Hao Peng; Huiping Zhuang; Cen Chen 002; Ziqian Zeng (ACL (1), 2025)

PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration. - Ziqian Zeng; Jianwei Wang; Junyao Yang; Zhengdong Lu; Haoran Li; Huiping Zhuang; Cen Chen 002 (ACL (1), 2025)

GenderAlign: An Alignment Dataset for Mitigating Gender Bias in Large Language Models. - Tao Zhang 019; Ziqian Zeng; YuxiangXiao YuxiangXiao; Huiping Zhuang; Cen Chen 002; James R. Foulds; Shimei Pan (ACL (1), 2025)

RewardDS: Privacy-Preserving Fine-Tuning for Large Language Models via Reward Driven Data Synthesis. - Jianwei Wang; Junyao Yang; Haoran Li; Huiping Zhuang; Cen Chen 002; Ziqian Zeng (CoRR, 2025)

SimDiff: Point Cloud Acceleration by Utilizing Spatial Similarity and Differential Execution. - Yangfan Li; Mengquan Li; Cen Chen 002; Xiaofeng Zou; Hongen Shao; Fengxiao Tang; Kenli Li 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)

Efficient Message Passing Algorithm and Architecture Co-Design for Graph Neural Networks. - Xiaofeng Zou; Cen Chen 002; Luochuan Zhang; Shengyang Li; Joey Tianyi Zhou; Wei Wei 006; Kenli Li 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Online Analytic Exemplar-Free Continual Learning With Large Models for Imbalanced Autonomous Driving Task. - Huiping Zhuang; Di Fang 004; Kai Tong; Yuchen Liu 001; Ziqian Zeng; Xu Zhou 001; Cen Chen 002 (IEEE Trans. Veh. Technol., 2025)

Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning. - Run He; Di Fang 004; Yicheng Xu; Yawen Cui; Ming Li 011; Cen Chen 002; Ziqian Zeng; Huiping Zhuang (CoRR, 2025)

Efficient Resource Allocation Algorithm for Maximizing Operator Profit in 5G Edge Computing Network. - Jing Liu 032; Yuting Huang; Chunhua Deng; Longxin Zhang; Cen Chen 002; Keqin Li 001 (J. Grid Comput., 2025)

ReViT: Vision Transformer Accelerator With Reconfigurable Semantic-Aware Differential Attention. - Xiaofeng Zou; Cen Chen 002; Hongen Shao; Qinyu Wang; Xiaobin Zhuang; Yangfan Li; Keqin Li 001 (IEEE Trans. Computers, 2025)

L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning. - Xiang Zhang; Run He; Jiao Chen; Di Fang 004; Ming Li 011; Ziqian Zeng; Cen Chen 002; Huiping Zhuang (CoRR, 2025)

Decompose, Plan in Parallel, and Merge: A Novel Paradigm for Large Language Models based Planning with Multiple Constraints. - Zhengdong Lu; Weikai Lu; Yiling Tao; Yun Dai; Zixuan Chen; Huiping Zhuang; Cen Chen 002; Hao Peng; Ziqian Zeng (CoRR, 2025)

GSDNet: Revisiting Incomplete Multimodal-Diffusion from Graph Spectrum Perspective for Conversation Emotion Recognition. - Yuntao Shou; Jun Yao; Tao Meng; Wei Ai 001; Cen Chen 002; Keqin Li 001 (CoRR, 2025)

An Adaptive and Scalable Framework for Resource-Efficient Deployment of Mixture of Experts in LLM-Based Intelligent IoT Networks. - Chengxu Liu; Yangfan Li; Cen Chen 002; Hailan Kuang; Xiaolin Ma; Xiaofeng Zou; Jing Liu 032; Zeyu Lu; Zhaoyuan Zhang; Xinhua Liu (IEEE Internet Things J., 2025)

RCP-Merging: Merging Long Chain-of-Thought Models with Domain-Specific Models by Considering Reasoning Capability as Prior. - Junyao Yang; Jianwei Wang; Huiping Zhuang; Cen Chen 002; Ziqian Zeng (CoRR, 2025)