Selecting Test Cases for Result Inspection to Support Effective Fault Localization. - Yihan Li; Jicheng Chen; Fan Ni; Yaqian Zhao; Hongwei Wang (J. Comput. Sci. Eng., 2015)

BFDir: A Space-Efficient Coherence Directory Based on Bloom Filter. - Jicheng Chen; Yaqian Zhao; Hongzhi Shi; Yihan Li (NCCET, 2016)

An OpenCLTM Implementation of WebP Accelerator on FPGAs. - Zhenhua Guo 003; Baoyu Fan; Yaqian Zhao; Xuelei Li; Shixin Wei; Long Li 006 (ARC, 2018)

The Study of Three Level Parallelisms in Ray Tracing Algorithm. - Hui Wei 005; Yaqian Zhao; Rengang Li (CSSE, 2019)

A Deep Residual Networks Accelerator on FPGA. - Yaqian Zhao; Xin Zhang 130; Xing Fang; Long Li 006; Xuelei Li; Zhenhua Guo 003; Xucheng Liu (ICACI, 2019)

The Quantum Shor Algorithm Simulated on FPGA. - Xin Zhang 130; Yaqian Zhao; RenGang Li; Xuelei Li; Zhenhua Guo 003; XiaoMin Zhu; Gang Dong (ISPA/BDCloud/SocialCom/SustainCom, 2019)

An Optimization Method of WebP Images Lossy Compression Algorithm for FPGAs. - Yaqian Zhao; Zhenhua Guo 003; Baoyu Fan; Kai Gao; Li Wang 040; Fang Cao (ISPA/BDCloud/SocialCom/SustainCom, 2019)

Dense-Scale Feature Learning in Person Re-identification. - Li Wang 040; Baoyu Fan; Zhenhua Guo 003; Yaqian Zhao; Runze Zhang; Rengang Li; Weifeng Gong (ACCV (6), 2020)

Probing the Underlying Implementation Mechanisms of SW26010. - Xiaomin Zhu; Yaqian Zhao; Pavan Balaji (HPCC/DSS/SmartCity, 2020)

Ensembled Tricks for Instance Segmentation. - Runze Zhang; Liang Jin; Yongfang Chen; Zhenhua Guo 003; Kun Zhao; Yaqian Zhao (IWCMC, 2020)

Contextual Multi-Scale Feature Learning for Person Re-Identification. - Baoyu Fan; Li Wang 040; Runze Zhang; Zhenhua Guo 003; Yaqian Zhao; Rengang Li; Weifeng Gong (ACM Multimedia, 2020)

Coresets Application in Channel Pruning for Fast Neural Network Slimming. - Wenfeng Yin; Gang Dong; Yaqian Zhao; Rengang Li (IJCNN, 2021)

A Request Scheduling Optimization Mechanism Based on Deep Q-Learning in Edge Computing Environments. - Yaqiang Zhang; Rengang Li; Yaqian Zhao; Ruyang Li (INFOCOM Workshops, 2021)

Knowledge-Supervised Learning: Knowledge Consensus Constraints for Person Re-Identification. - Li Wang 040; Baoyu Fan; Zhenhua Guo 003; Yaqian Zhao; Runze Zhang; Rengang Li; Weifeng Gong; Endong Wang (ACM Multimedia, 2021)

Deep Reinforcement Learning for DAG-based Concurrent Requests Scheduling in Edge Networks. - Yaqiang Zhang; Ruyang Li; Zhangbing Zhou; Yaqian Zhao; Rengang Li (WASA (3), 2021)

Genetic Algorithm based hyper-parameters optimization for transfer Convolutional Neural Network. - Chen Li 024; Jinzhe Jiang; Yaqian Zhao; RenGang Li; Endong Wang; Xin Zhang 130; Kun Zhao (CoRR, 2021)

Classification of Remotely Sensed Images Using an Ensemble of Improved Convolutional Network. - Li Wang 040; Yanjiang Wang 001; Yaqian Zhao; Bao-Di Liu (IEEE Geosci. Remote. Sens. Lett., 2021)

An improved model training method for residual convolutional neural networks in deep learning. - Xuelei Li; Rengang Li; Yaqian Zhao; Jian Zhao (Multim. Tools Appl., 2021)

Spiking Emotions: Dynamic Vision Emotion Recognition Using Spiking Neural Networks. - Binqiang Wang; Gang Dong; Yaqian Zhao; Rengang Li; Hongbin Yang; Wenfeng Yin; Lingyan Liang (AHPCAI, 2022)

Layer-wise based Adabelief Optimization Algorithm for Deep Learning. - Zhi-Yong Qiu; Zhenhua Guo 003; Li Wang 040; Yaqian Zhao; Rengang Li (AISS, 2022)

NTIRE 2022 Image Inpainting Challenge: Report. - Andrés Romero; Angela Castillo; Jose Abril-Nova; Radu Timofte; Ritwik Das; Sanchit Hira; Zhihong Pan 001; Min Zhang 030; Baopu Li; Dongliang He; Tianwei Lin; Fu Li 003; et al. (CVPR Workshops, 2022)

Towards Interpreting Computer Vision Based on Transformation Invariant Optimization. - Chen Li 024; Jinzhe Jiang; Xin Zhang 130; Tonghuan Zhang; Yaqian Zhao; Dongdong Jiang; Rengang Li (ECCV Workshops (6), 2022)

Improving Autism Spectrum Disorder Prediction by Fusion of Multiple Measures of Resting-State Functional MRI Data. - Lingyan Liang; Gang Dong; Changsheng Li; Dongchao Wen; Yaqian Zhao; Jing Li (EMBC, 2022)

Privacy Preserving Electronic Scoring Scheme based on CKKS. - Shangshang Chen; Yaqian Zhao; Ruyang Li; Xuelei Li; Jian Zhao; Kai Liu (ICCT, 2022)

Deep Reinforcement Learning with Noisy Exploration for Autonomous Driving. - Ruyang Li; Yaqiang Zhang; Yaqian Zhao; Hui Wei 005; Zhe Xu; Kun Zhao (ICMLSC, 2022)

Context-Based Point Generation Network for Point Cloud Completion. - Lihua Lu; Ruyang Li; Hui Wei 005; Yaqian Zhao; Rengang Li (ICONIP (1), 2022)

Point Cloud Completion with Difference-Aware Point Voting. - Lihua Lu; Ruyang Li; Hui Wei 005; Yaqian Zhao; Rengang Li; Binqiang Wang (ICONIP (6), 2022)

Learning from Fourier: Leveraging Frequency Transformation for Emotion Recognition. - Binqiang Wang; Gang Dong; Yaqian Zhao; Rengang Li (ICONIP (2), 2022)

Deep Reinforcement Learning based Mobility-Aware Service Migration for Multi-access Edge Computing Environment. - Yaqiang Zhang; Rengang Li; Yaqian Zhao; Ruyang Li (ISCC, 2022)

Online Decentralized Task Allocation Optimization for Edge Collaborative Networks. - Yaqiang Zhang; Ruyang Li; Yaqian Zhao; Rengang Li; Xuelei Li; Tuo Li (ISCC, 2022)

SoccerNet 2022 Challenges Results. - Silvio Giancola; Anthony Cioppa; Adrien Deliège; Floriane Magera; Vladimir Somers; Le Kang; Xin Zhou 024; Olivier Barnich; Christophe De Vleeschouwer; Alexandre Alahi; Bernard Ghanem; Marc Van Droogenbroeck; et al. (MMSports@MM, 2022)

Towards Further Comprehension on Referring Expression with Rationale. - Rengang Li; Baoyu Fan; Xiaochuan Li 001; Runze Zhang; Zhenhua Guo 003; Kun Zhao; Yaqian Zhao; Weifeng Gong; Endong Wang (ACM Multimedia, 2022)

AI-VQA: Visual Question Answering based on Agent Interaction with Interpretability. - Rengang Li; Cong Xu 001; Zhenhua Guo 003; Baoyu Fan; Runze Zhang; Wei Liu; Yaqian Zhao; Weifeng Gong; Endong Wang (ACM Multimedia, 2022)

Non-Uniform Attention Network for Multi-modal Sentiment Analysis. - Binqiang Wang; Gang Dong; Yaqian Zhao; Rengang Li; Qichun Cao; Yinyin Chao (MMM (1), 2022)

A Multi-object Detection Sampling Algorithm For Large Scenes. - Liang Jin; Xiaochuan Li 001; Baoyu Fan; Zhenhua Guo 003; Ruidong Li; Li Wang 040; Yanwei Wang; Yaqian Zhao; Rengang Li (PAAP, 2022)

Dual graph wavelet neural network for graph-based semi-supervised classification. - Kekun Hu; Gang Dong; Yaqian Zhao; Rengang Li; Dongdong Jiang; Yinyin Chao; Haiwei Liu; Yuan Ge (J. Intell. Fuzzy Syst., 2022)

Distribution-restrained Softmax Loss for the Model Robustness. - Chen Li; Hao Wang; Jinzhe Jiang; Xin Zhang; Yaqian Zhao; Weifeng Gong (AISafety/SafeRL@IJCAI, 2023)

Outsourcing the Computation of Plaintext Encryption for Homomorphic Encryption. - Xuelei Li; Ruyang Li; Bing Bai; Yaqian Zhao; Guangqing Liu; Rengang Li (ICCCS, 2023)

Neuromorphic Text Emotion Recognition: Harnessing Bio- Inspired Computing for Energy-Efficient and Robust Solution. - Binqiang Wang; Yaqian Zhao; Gang Dong; Kang Su (HPCC/DSS/SmartCity/DependSys, 2023)

Group-Wise Co-Salient Object Detection with Siamese Transformers Via Brownian Distance Covariance Matching. - Yang Wu; Hao Zhang; Lingyan Liang; Yaqian Zhao; Kaihua Zhang 001 (ICASSP, 2023)

Object-Aware Calibrated Depth-Guided Transformer for RGB-D Co-Salient Object Detection. - Yang Wu; Lingyan Liang; Yaqian Zhao; Kaihua Zhang 001 (ICME, 2023)

End-to-End Urban Autonomous Navigation with Decision Hindsight. - Qi Deng; Guangqing Liu; Ruyang Li; Qifu Hu; Yaqian Zhao; Rengang Li (ICONIP (15), 2023)

Enhancing Network by Reinforcement Learning and Neural Confined Local Search. - Qifu Hu; Ruyang Li; Qi Deng; Yaqian Zhao; Rengang Li (IJCAI, 2023)

Context - Enhanced Meta-Reinforcement Learning with Data-Reused Adaptation for Urban Autonomous Driving. - Qi Deng; Yaqian Zhao; Rengang Li; Qifu Hu; Tiejun Liu; Ruyang Li (IJCNN, 2023)

Aesthetics-Driven Virtual Time-Lapse Photography Generation. - Lihua Lu; Hui Wei 005; Xin Jin 015; Yihao Zhang; Boyan Dong; Longteng Jiang; Xiaohui Zhang 017; Ruyang Li; Yaqian Zhao (ACM Multimedia, 2023)

SGED: A Benchmark dataset for Performance Evaluation of Spiking Gesture Emotion Recognition. - Binqiang Wang; Gang Dong; Yaqian Zhao; Rengang Li; Lu Cao; Lihua Lu (CoRR, 2023)

Recurrent Dynamic Message Passing with Loops for Epidemics on Networks. - Fei Gao; Jing Liu; Yaqian Zhao (CoRR, 2023)

Hierarchically stacked graph convolution for emotion recognition in conversation. - Binqiang Wang; Gang Dong; Yaqian Zhao; Rengang Li; Qichun Cao; Kekun Hu; Dongdong Jiang (Knowl. Based Syst., 2023)

Multi-agent deep reinforcement learning for online request scheduling in edge cooperation networks. - Yaqiang Zhang; Ruyang Li; Yaqian Zhao; Rengang Li; Yanwei Wang; Zhangbing Zhou (Future Gener. Comput. Syst., 2023)

Coresets based asynchronous network slimming. - Wenfeng Yin; Gang Dong; Yaqian Zhao; Rengang Li (Appl. Intell., 2023)

Correction to: Coresets based asynchronous network slimming. - Wenfeng Yin; Gang Dong; Yaqian Zhao; Rengang Li (Appl. Intell., 2023)

Bi-RRNet: Bi-level recurrent refinement network for camouflaged object detection. - Yan Liu 004; Kaihua Zhang 001; Yaqian Zhao; Hu Chen; Qingshan Liu 001 (Pattern Recognit., 2023)

Strong generalization in quantum neural networks. - Jinzhe Jiang; Yaqian Zhao; Rengang Li; Chen Li 024; Zhenhua Guo 003; Baoyu Fan; Xuelei Li; Ruyang Li; Xin Zhang 130 (Quantum Inf. Process., 2023)

Image Content Generation with Causal Reasoning. - Xiaochuan Li 001; Baoyu Fan; Runze Zhang; Liang Jin; Di Wang; Zhenhua Guo 003; Yaqian Zhao; Rengang Li (AAAI, 2024)

A Distributed Algorithm for Rumor Blocking on Social Networks. - Ruidong Yan; Zhenhua Guo 003; Yaqian Zhao; Rengang Li; Xingjian Ding (COCOON (2), 2024)

DM-SARAH: A Variance Reduction Optimization Algorithm for Machine Learning Systems. - Rengang Li; Ruidong Yan; Zhenhua Guo 003; Zhi-Yong Qiu; Yaqian Zhao; Yanwei Wang (GLOBECOM, 2024)

Segment Anything Model Guided Semantic Knowledge Learning For Remote Sensing Change Detection. - Zixuan Sun; Huihui Song; Kaihua Zhang 001; Gang Dong; Lingyan Liang; Yaqian Zhao (ICASSP, 2024)

Glance, Focus and Refinement Network for Remote Sensing Change Detection. - Hao Zhang; Zixuan Sun; Yuhui Zheng; Kaihua Zhang 001; Gang Dong; Lingyan Liang; Yaqian Zhao (ICASSP, 2024)

Study on The Effect of Encoding Method in Quantum Machine Learning. - Qingqing Xiong; Jinzhe Jiang; Chen Li 024; Xin Zhang 130; Yaqian Zhao (ICMLC, 2024)

MR-BEV: A Multi-Resolution BEV Detection Framework with a Better Efficiency-Accuracy Trade-off. - Tengfei Zhang 004; Heng Zhang; Ruyang Li; Qi Deng; Yaqian Zhao; Rengang Li (ICVES, 2024)

Enhance Image BEV Features with LiDAR Gradient Guidance for 3D Object Detection. - Tengfei Zhang 004; Heng Zhang; Ruyang Li; Qi Deng; Yaqian Zhao; Rengang Li (ICVES, 2024)

Simulating LLM Training in CXL-Based Heterogeneous Computing Cluster. - Yinan Tang; Tongtong Yuan; Fang Cao; Li Wang 040; Zhenhua Guo 003; Yaqian Zhao; Rengang Li (INFOCOM (Workshops), 2024)

Personalized Multimodal Emotion Recognition: Integrating Temporal Dynamics and Individual Traits for Enhanced Performance. - Binqiang Wang; Gang Dong; Yaqian Zhao; Rengang Li (ISCSLP, 2024)

FHNTT: a flexible Number Theoretic Transform design based on hybrid-radix butterfly. - Li Li; Rengang Li; Yaqian Zhao; Ruyang Li; Zhiyuan Su; Xuelei Li (ISPA, 2024)

A Pseudo-Hierarchical Planning Framework with Dynamic-Aware Reinforcement Learning for Autonomous Driving. - Qi Deng; Yaqian Zhao; Rengang Li; Qifu Hu; Tengfei Zhang 004; Heng Zhang; Ruyang Li (IV, 2024)

Infer Induced Sentiment of Comment Response to Video: A New Task, Dataset and Baseline. - Qi Jia 004; Baoyu Fan; Cong Xu 001; Lu Liu; Liang Jin; Guoguang Du; Zhenhua Guo 003; Yaqian Zhao; Xuanjing Huang 001; Rengang Li (NeurIPS, 2024)

Boosting Data Center Performance via Intelligently Managed Multi-backend Disaggregated Memory. - Jing Wang 055; Hanzhang Yang; Chao Li 009; Yiming Zhuansun; Wang Yuan; Cheng Xu; Xiaofeng Hou; Minyi Guo; Yang Hu 001; Yaqian Zhao (SC, 2024)

Partially Recentralization Softmax Loss for Vision-Language Models Robustness. - Hao Wang; Xin Zhang; Jinzhe Jiang; Yaqian Zhao; Chen Li (CoRR, 2024)

First Place Solution to the ECCV 2024 ROAD++ Challenge @ ROAD++ Spatiotemporal Agent Detection 2024. - Tengfei Zhang 004; Heng Zhang; Ruyang Li; Qi Deng; Yaqian Zhao; Rengang Li (CoRR, 2024)

Easy Pruning via Coresets and Structural Re-Parameterization. - Wenfeng Yin; Gang Dong; Dianzheng An; Yaqian Zhao; Binqiang Wang (IEEE Signal Process. Lett., 2024)

Inexactly Matched Referring Expression Comprehension With Rationale. - Xiaochuan Li 001; Baoyu Fan; Runze Zhang; Kun Zhao; Zhenhua Guo 003; Yaqian Zhao; Rengang Li (IEEE Trans. Multim., 2024)

Context-Aware Meta-RL With Two-Stage Constrained Adaptation for Urban Driving. - Qi Deng; Ruyang Li; Qifu Hu; Yaqian Zhao; Rengang Li (IEEE Trans. Veh. Technol., 2024)

MVIndEmo: a dataset for micro video public-induced emotion prediction on social media. - Zhenhua Guo 003; Qi Jia 004; Baoyu Fan; Di Wang; Cong Xu 001; Yanwei Wang; Yaqian Zhao; Rengang Li (Multim. Syst., 2024)

A Piezoelectric-Piezoresistive Coupling Electric Field Sensor for Large Dynamic Range AC Electric Field Measurements. - Xiaobo Wang; Bofeng Luo; Rongbo Zhang; Yang Song; Yaqian Zhao; Chengtao Luo (Sensors, 2024)

Group-wise co-salient object detection via multi-view self-labeling novel class discovery. - Yang Wu; Gang Dong; Lingyan Liang; Yaqian Zhao; Kaihua Zhang 001 (Frontiers Comput. Sci., 2024)

Hermite Expansion Technique for Model Reduction of Circuit Systems with Delay Components. - Zhi-Yong Qiu; Zhenhua Guo 003; Yao-Lin Jiang; Yaqian Zhao; RenGang Li (Circuits Syst. Signal Process., 2024)

A Survey on Performance Modeling and Prediction for Distributed DNN Training. - Zhenhua Guo 003; Yinan Tang; Jidong Zhai; Tongtong Yuan; Jian Jin; Li Wang 040; Yaqian Zhao; Rengang Li (IEEE Trans. Parallel Distributed Syst., 2024)

MMEditor: Multimodal Prompt-Driven 3D Gaussian Splatting Editing. - Lihua Lu; Rengang Li; Yaqian Zhao; Xiaohui Zhang 017; Hui Wei 005; Ruyang Li (ICASSP, 2025)

Improving Height Prediction for Vision-Based Roadside 3D Object Detection. - Tengfei Zhang 004; Heng Zhang; Rengang Li; Yaqian Zhao; Qi Deng; Ruyang Li (ICASSP, 2025)

Tripartite interaction representation learning for multi-modal sentiment analysis. - Binqiang Wang; Gang Dong; Yaqian Zhao; Rengang Li; Wenfeng Yin; Lihua Lu (Expert Syst. Appl., 2025)

A Multi-Granularity Relation Graph Aggregation Framework With Multimodal Clues for Social Relation Reasoning. - Cong Xu 001; Feiyu Chen 005; Qi Jia 004; Yihua Wang; Liang Jin; Yunji Li; Yaqian Zhao; Changming Zhao (IEEE Trans. Multim., 2025)

Leveraging Graph Analysis to Pinpoint Root Causes of Scalability Issues for Parallel Applications. - Yuyang Jin 001; Haojie Wang; Xiongchao Tang; Zhenhua Guo 003; Yaqian Zhao; Torsten Hoefler; Tao Liu 029; Xu Liu 001; Jidong Zhai (IEEE Trans. Parallel Distributed Syst., 2025)

DropletVideo: A Dataset and Approach to Explore Integral Spatio-Temporal Consistent Video Generation. - Runze Zhang; Guoguang Du; Xiaochuan Li 001; Qi Jia 004; Liang Jin; Lu Liu; Jingjing Wang; Cong Xu 001; Zhenhua Guo 003; Yaqian Zhao; Xiaoli Gong; Rengang Li; et al. (CoRR, 2025)

Gradients of unitary optical neural networks using parameter-shift rule. - Jinzhe Jiang; Yaqian Zhao; Xin Zhang; Chen Li; Yunlong Yu; Hailing Liu (CoRR, 2025)

Asymptotically Optimal Repair of Reed-Solomon Codes with Small Sub-Packetization under Rack-Aware Model. - Ke Wang; Zhongyan Liu; Rengang Li; Yaqian Zhao; Yaqiang Zhang (CoRR, 2025)