User Oriented Integration of Sensor Operations in a Offline Programming System for Welding Robots. - Wenrui Dai; Markus Kampker (ICRA, 2000)

On Non-sequential Context Modeling with Application to Executable Data Compression. - Wenrui Dai; Hongkai Xiong; Li Song 001 (DCC, 2008)

Bitwise Structured Prediction Model for Lossless Image Coding. - Wenrui Dai; Hongkai Xiong (DCC, 2011)

Discriminative structured set prediction modeling with max-margin Markov network for optimal lossless image coding. - Wenrui Dai; Hongkai Xiong (VCIP, 2012)

Optimal intra coding of HEVC by structured set prediction mode with discriminative learning. - Wenrui Dai; Hongkai Xiong (VCIP, 2012)

An Adaptive Difference Distribution-Based Coding with Hierarchical Tree Structure for DNA Sequence Compression. - Wenrui Dai; Hongkai Xiong; Xiaoqian Jiang; Lucila Ohno-Machado (DCC, 2013)

Genome Sequence Compression with Distributed Source Coding. - Shuang Wang 002; Xiaoqian Jiang; Lijuan Cui; Wenrui Dai; Nikos Deligiannis; Pinghao Li; Hongkai Xiong; Samuel Cheng 001; Lucila Ohno-Machado (DCC, 2013)

Structured Set Intra Prediction With Discriminative Learning in a Max-Margin Markov Network for High Efficiency Video Coding. - Wenrui Dai; Hongkai Xiong; Xiaoqian Jiang; Chang Wen Chen (IEEE Trans. Circuits Syst. Video Technol., 2013)

Regional context model and dynamic Huffman binarization for adaptive entropy coding of multimedia. - Jiangming Wu; Wenrui Dai; Hongkai Xiong (BMSB, 2014)

Gaussian Process Regression Based Prediction for Lossless Image Coding. - Wenrui Dai; Hongkai Xiong (DCC, 2014)

Large Discriminative Structured Set Prediction Modeling With Max-Margin Markov Network for Lossless Image Coding. - Wenrui Dai; Hongkai Xiong; Jia Wang; Yuan F. Zheng (IEEE Trans. Image Process., 2014)

Bi-Directional Context Modeling with Combinatorial Structuring for Genome Sequence Compression. - Wenrui Dai; Hongkai Xiong (DCC, 2015)

Subspace Learning with Structured Sparsity for Compressive Video Sampling. - Yong Li 033; Wenrui Dai; Hongkai Xiong (DCC, 2015)

Adaptive Submodular Dictionary Selection for Sparse Representation Modeling with Application to Image Super-Resolution. - Yangmei Shen; Wenrui Dai; Hongkai Xiong (DCC, 2015)

Progressive Dictionary Learning with Hierarchical Structure for Scalable Video Coding. - Xin Tang; Wenrui Dai; Hongkai Xiong (DCC, 2015)

Generalized Context Modeling With Multi-Directional Structuring and MDL-Based Model Selection for Heterogeneous Data Compression. - Wenrui Dai; Hongkai Xiong; Jia Wang; Samuel Cheng 001; Yuan F. Zheng (IEEE Trans. Signal Process., 2015)

FORESEE: Fully Outsourced secuRe gEnome Study basEd on homomorphic Encryption. - Yuchen Zhang; Wenrui Dai; Xiaoqian Jiang; Hongkai Xiong; Shuang Wang 002 (BMC Medical Informatics Decis. Mak., 2015)

Compressive Tensor Sampling with Structured Sparsity. - Yong Li 033; Wenrui Dai; Hongkai Xiong (DCC, 2016)

HEALER: homomorphic computation of ExAct Logistic rEgRession for secure rare disease variants analysis in GWAS. - Shuang Wang 002; Yuchen Zhang; Wenrui Dai; Kristin E. Lauter; Miran Kim; Yuzhe Richard Tang; Hongkai Xiong; Xiaoqian Jiang (Bioinform., 2016)

Secure Multi-pArty Computation Grid LOgistic REgression (SMAC-GLORE). - Haoyi Shi; Chao Jiang 002; Wenrui Dai; Xiaoqian Jiang; Yuzhe Richard Tang; Lucila Ohno-Machado; Shuang Wang 002 (BMC Medical Informatics Decis. Mak., 2016)

Sparse Representation With Spatio-Temporal Online Dictionary Learning for Promising Video Coding. - Wenrui Dai; Yangmei Shen; Xin Tang; Junni Zou; Hongkai Xiong; Chang Wen Chen (IEEE Trans. Image Process., 2016)

Complementary Contextual Models with FM-Index for DNA Compression. - Wenjing Fan; Wenrui Dai; Yong Li 033; Hongkai Xiong (DCC, 2017)

Nonconvex Optimization with Alternating Direction Method of Multipliers for Tensor-Based Compressed Sensing with Group Sparsity. - Yong Li 033; Wenrui Dai; Hongkai Xiong (DCC, 2017)

Extended conjugate polar fourier transforminconvolution network. - Can Xu; Wenrui Dai; Hongkai Xiong (ICIP, 2017)

Multiscale dictionary learning for hierarchical sparse representation. - Yangmei Shen; Hongkai Xiong; Wenrui Dai (ICME, 2017)

Progressive Dictionary Learning With Hierarchical Predictive Structure for Low Bit-Rate Scalable Video Coding. - Wenrui Dai; Yangmei Shen; Hongkai Xiong; Xiaoqian Jiang; Junni Zou; David Taubman (IEEE Trans. Image Process., 2017)

Structured Sparse Representation With Union of Data-Driven Linear and Multilinear Subspaces Model for Compressive Video Sampling. - Yong Li 033; Wenrui Dai; Junni Zou; Hongkai Xiong; Yuan F. Zheng (IEEE Trans. Signal Process., 2017)

Compressed Sensing via a Deep Convolutional Auto-encoder. - Hao Wu; Ziyang Zheng; Yong Li 033; Wenrui Dai; Hongkai Xiong (VCIP, 2018)

Fully Decomposable Compressive Sampling With Joint Optimization for Multidimensional Sparse Representation. - Wenrui Dai; Yong Li 033; Junni Zou; Hongkai Xiong; Yuan F. Zheng (IEEE Trans. Signal Process., 2018)

MSGCNN: Multi-scale Graph Convolutional Neural Network for Point Cloud Segmentation. - Mingxing Xu; Wenrui Dai; Yangmei Shen; Hongkai Xiong (BigMM, 2019)

Lossy Image Compression with Filter Bank Based Convolutional Networks. - Shaohui Li; Ziyang Zheng; Wenrui Dai; Hongkai Xiong (DCC, 2019)

Trained Rank Pruning for Efficient Deep Neural Networks. - Yuhui Xu; Yuxi Li 009; Shuai Zhang 009; Wei Wen; Botao Wang; Wenrui Dai; Yingyong Qi; Yiran Chen 001; Weiyao Lin; Hongkai Xiong (EMC2@NeurIPS, 2019)

Rotation Equivariant Graph Convolutional Network for Spherical Image Classification. - Qin Yang 002; Chenglin Li; Wenrui Dai; Junni Zou; Guo-Jun Qi; Hongkai Xiong (CVPR, 2020)

Noise-to-Compression Variational Autoencoder for Efficient End-to-End Optimized Image Coding. - Jixiang Luo; Shaohui Li; Wenrui Dai; Yuhui Xu; De Cheng; Gang Li; Hongkai Xiong (DCC, 2020)

REV-AE: A Learned Frame Set for Image Reconstruction. - Shaohui Li; Ziyang Zheng; Wenrui Dai; Junni Zou; Hongkai Xiong (ICASSP, 2020)

Tiny-Hourglassnet: An Efficient Design For 3d Human Pose Estimation. - Bowen Shi; Yuhui Xu; Wenrui Dai; Botao Wang; Shuai Zhang 009; Chenglin Li; Junni Zou; Hongkai Xiong (ICIP, 2020)

Structure-Aware Graph Construction For Point Cloud Segmentation With Graph Convolutional Networks. - Shanghong Wang; Wenrui Dai; Mingxing Xu; Chenglin Li; Junni Zou; Hongkai Xiong (ICME, 2020)

SI-VDNAS: Semi-Implicit Variational Dropout for Hierarchical One-shot Neural Architecture Search. - Yaoming Wang; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (IJCAI, 2020)

FedExg: Federated Learning with Model Exchange. - Zhicheng Mao; Wenrui Dai; Chenglin Li; Yuhui Xu; Shanghong Wang; Junni Zou; Hongkai Xiong (ISCAS, 2020)

DSCR-Net: A Diffractive Sensing and Complex-Valued Reconstruction Network for Compressive Sensing. - Ziyang Zheng; Shanghong Wang; Shaohui Li; Wenrui Dai; Junni Zou; Feifei Li; Hongkai Xiong (ISCAS, 2020)

SalGCN: Saliency Prediction for 360-Degree Images Based on Spherical Graph Convolutional Networks. - Haoran Lv; Qin Yang 002; Chenglin Li; Wenrui Dai; Junni Zou; Hongkai Xiong (ACM Multimedia, 2020)

Spatial-Channel Context-Based Entropy Modeling for End-to-end Optimized Image Compression. - Chongxin Li; Jixiang Luo; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (VCIP, 2020)

Spatial-Temporal Transformer Networks for Traffic Flow Forecasting. - Mingxing Xu; Wenrui Dai; Chunmiao Liu; Xing Gao 005; Weiyao Lin; Guo-Jun Qi; Hongkai Xiong (CoRR, 2020)

Graph Pooling with Node Proximity for Hierarchical Representation Learning. - Xing Gao 005; Wenrui Dai; Chenglin Li; Hongkai Xiong; Pascal Frossard (CoRR, 2020)

MimicNorm: Weight Mean and Last BN Layer Mimic the Dynamic of Batch Normalization. - Wen Fei; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (CoRR, 2020)

NCGNN: Node-level Capsule Graph Neural Network. - Rui Yang 014; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (CoRR, 2020)

Key-Point Sequence Lossless Compression for Intelligent Video Analysis. - Weiyao Lin; Xiaoyi He; Wenrui Dai; John See; Tushar Shankar Shinde; Hongkai Xiong; Lingyu Duan (IEEE Multim., 2020)

Adaptive lossless compression of skeleton sequences. - Weiyao Lin; Tushar Shankar Shinde; Wenrui Dai; Mingzhou Liu 001; Xiaoyi He; Anil Kumar Tiwari; Hongkai Xiong (Signal Process. Image Commun., 2020)

Scalable Structured Compressive Video Sampling With Hierarchical Subspace Learning. - Yong Li 033; Wenrui Dai; Junni Zou; Hongkai Xiong; Yuan F. Zheng (IEEE Trans. Circuits Syst. Video Technol., 2020)

Depth Estimation From Light Field Using Graph-Based Structure-Aware Analysis. - Yuchen Zhang; Wenrui Dai; Mingxing Xu; Junni Zou; Xiaopeng Zhang 008; Hongkai Xiong (IEEE Trans. Circuits Syst. Video Technol., 2020)

Iterative Deep Neural Network Quantization With Lipschitz Constraint. - Yuhui Xu; Wenrui Dai; Yingyong Qi; Junni Zou; Hongkai Xiong (IEEE Trans. Multim., 2020)

Hierarchical Graph Networks for 3D Human Pose Estimation. - Han Li; Bowen Shi; Wenrui Dai; Yabo Chen; Botao Wang; Yu Sun; Min Guo; Chenglin Li; Junni Zou; Hongkai Xiong (BMVC, 2021)

Lossless Compression for Video Streams with Frequency Prediction and Macro Block Merging. - Jixiang Luo; Shaohui Li; Wenrui Dai; De Cheng; Gang Li; Chenglin Li; Junni Zou; Hongkai Xiong (DCC, 2021)

Compressive Sensing via Unfolded 𝓁1-constrained Convolutional Sparse Coding. - Jiaqi Sun; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (DCC, 2021)

QoE-Driven and Tile-Based Adaptive Streaming for Point Clouds. - Lisha Wang; Chenglin Li; Wenrui Dai; Junni Zou; Hongkai Xiong (ICASSP, 2021)

Research on Intelligent Assignment Method of Radar Jamming Task in Electronic Air Defense Operation. - Jun Li; Lei Hu; Wenrui Dai; Bin Fan (ICCAI, 2021)

Learning Latent Architectural Distribution in Differentiable Neural Architecture Search via Variational Information Maximization. - Yaoming Wang; Yuchen Liu 006; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (ICCV, 2021)

Learned Image Compression with Channel-Wise Grouped Context Modeling. - Liang Yuan; Jixiang Luo; Shaohui Li; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (ICIP, 2021)

Monotonic Robust Policy Optimization with Model Discrepancy. - Yuankun Jiang; Chenglin Li; Wenrui Dai; Junni Zou; Hongkai Xiong (ICML, 2021)

Research on Intelligent station layout optimization of air defense radar network. - Jun Li; Wenrui Dai; Lei Hu (ICRSA, 2021)

Uncertainty-aware robust adaptive video streaming with bayesian neural network and model predictive control. - Nuowen Kan; Chenglin Li; Caiyi Yang; Wenrui Dai; Junni Zou; Hongkai Xiong (NOSSDAV, 2021)

Mixed-precision Quantization with Dynamical Hessian Matrix for Object Detection Network. - Zerui Yang; Wen Fei; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (VCIP, 2021)

Multi-dataset Pretraining: A Unified Model for Semantic Segmentation. - Bowen Shi; Xiaopeng Zhang 008; Haohang Xu; Wenrui Dai; Junni Zou; Hongkai Xiong; Qi Tian 001 (CoRR, 2021)

Message Passing in Graph Convolution Networks via Adaptive Filter Banks. - Xing Gao 005; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong; Pascal Frossard (CoRR, 2021)

Bag of Instances Aggregation Boosts Self-supervised Learning. - Haohang Xu; Jiemin Fang; Xiaopeng Zhang 008; Lingxi Xie; Xinggang Wang; Wenrui Dai; Hongkai Xiong; Qi Tian 001 (CoRR, 2021)

Spectral Graph Convolutional Networks With Lifting-based Adaptive Graph Wavelets. - Mingxing Xu; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong; Pascal Frossard (CoRR, 2021)

Partially-Connected Neural Architecture Search for Reduced Computational Redundancy. - Yuhui Xu; Lingxi Xie; Wenrui Dai; Xiaopeng Zhang 008; Xin Chen 033; Guo-Jun Qi; Hongkai Xiong; Qi Tian 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Multi-Scale Structured Dictionary Learning for 3-D Point Cloud Attribute Compression. - Yangmei Shen; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (IEEE Trans. Circuits Syst. Video Technol., 2021)

Multiscale Representation Learning of Graph Data With Node Affinity. - Xing Gao 005; Wenrui Dai; Chenglin Li; Hongkai Xiong; Pascal Frossard (IEEE Trans. Signal Inf. Process. over Networks, 2021)

Multi-Scale Graph Convolutional Network With Spectral Graph Wavelet Frame. - Yangmei Shen; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (IEEE Trans. Signal Inf. Process. over Networks, 2021)

Reversible Autoencoder: A CNN-Based Nonlinear Lifting Scheme for Image Reconstruction. - Shaohui Li; Wenrui Dai; Ziyang Zheng; Chenglin Li; Junni Zou; Hongkai Xiong (IEEE Trans. Signal Process., 2021)

Adaptive Task Sampling and Variance Reduction for Gradient-Based Meta-Learning. - Zhuoqun Liu; Yuankun Jiang; Chenglin Li; Wenrui Dai; Junni Zou; Hongkai Xiong (BMVC, 2022)

Contrastive Regression for Domain Adaptation on Gaze Estimation. - Yaoming Wang; Yangzhou Jiang; Jin Li; Bingbing Ni; Wenrui Dai; Chenglin Li; Hongkai Xiong; Teng Li 001 (CVPR, 2022)

Entropy Modeling via Gaussian Process Regression for Learned Image Compression. - Maida Cao; Wenrui Dai; Shaohui Li; Chenglin Li; Junni Zou; Ying Chen; Hongkai Xiong (DCC, 2022)

Video Compression via Inter-frame Chroma Prediction. - Rulin Huang; Shaohui Li; Wenrui Dai; Jixiang Luo; Chenglin Li; Junni Zou; Hongkai Xiong (DCC, 2022)

Graph Dictionary Learning for 3-D Point Cloud Compression. - Xin Li; Wenrui Dai; Shaohui Li; Chenglin Li; Junni Zou; Hongkai Xiong (DCC, 2022)

Efficient Decoder for Learned Image Compression via Structured Pruning. - Liewen Liao; Shaohui Li; Jixiang Luo; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (DCC, 2022)

SdAE: Self-distillated Masked Autoencoder. - Yabo Chen; Yuchen Liu 006; Dongsheng Jiang; Xiaopeng Zhang 008; Wenrui Dai; Hongkai Xiong; Qi Tian 001 (ECCV (30), 2022)

Source-Free Domain Adaptation with Contrastive Domain Alignment and Self-supervised Exploration for Face Anti-spoofing. - Yuchen Liu 006; Yabo Chen; Wenrui Dai; Mengran Gou; Chun-Ting Huang; Hongkai Xiong (ECCV (12), 2022)

A Transformer-Based Decoder for Semantic Segmentation with Multi-level Context Mining. - Bowen Shi; Dongsheng Jiang; Xiaopeng Zhang 008; Han Li; Wenrui Dai; Junni Zou; Hongkai Xiong; Qi Tian 001 (ECCV (28), 2022)

Bag of Instances Aggregation Boosts Self-supervised Distillation. - Haohang Xu; Jiemin Fang; Xiaopeng Zhang 008; Lingxi Xie; Xinggang Wang; Wenrui Dai; Hongkai Xiong; Qi Tian 001 (ICLR, 2022)

Causal Intervention for Generalizable Face Anti-Spoofing. - Yuchen Liu 006; Yabo Chen; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (ICME, 2022)

Mixed-Precision Quantization of U-Net for Medical Image Segmentation. - Liming Guo; Wen Fei; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (ISCAS, 2022)

Improving Optical Flow Inference for Video Colorization. - Rulin Huang; Shaohui Li; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (ISCAS, 2022)

Efficient Search for Efficient Architecture. - Liewen Liao; Yaoming Wang; Hao Li 090; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (ISCAS, 2022)

Improving Generalization for Neural Adaptive Video Streaming via Meta Reinforcement Learning. - Nuowen Kan; Yuankun Jiang; Chenglin Li; Wenrui Dai; Junni Zou; Hongkai Xiong (ACM Multimedia, 2022)

Tensor Network-Based Entropy Coding For Learned Image Compression. - Xiaoxuan Fan; Wen Fei; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (PCS, 2022)

Optimal Tile-Based Encoding for 360-Degree Video Streaming. - Wenxuan Gao; Chenglin Li; Haoran Lv; Wenrui Dai; Junni Zou; Hongkai Xiong; Xinlong Pan; Haipeng Wang (PCS, 2022)

Weakly Supervised Region-Level Contrastive Learning for Efficient Object Detection. - Yuang Deng; Yuhang Zhang 012; Wenrui Dai; Xiaopeng Zhang 008; Hongkai Xiong (VCIP, 2022)

LiftPool: Lifting-based Graph Pooling for Hierarchical Graph Representation Learning. - Mingxing Xu; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (CoRR, 2022)

Hierarchical Spherical CNNs with Lifting-based Adaptive Wavelets for Pooling and Unpooling. - Mingxing Xu; Chenglin Li; Wenrui Dai; Siheng Chen; Junni Zou; Pascal Frossard; Hongkai Xiong (CoRR, 2022)

RAPT360: Reinforcement Learning-Based Rate Adaptation for 360-Degree Video Streaming With Adaptive Prediction and Tiling. - Nuowen Kan; Junni Zou; Chenglin Li; Wenrui Dai; Hongkai Xiong (IEEE Trans. Circuits Syst. Video Technol., 2022)

VERTICOX: Vertically Distributed Cox Proportional Hazards Model Using the Alternating Direction Method of Multipliers. - Wenrui Dai; Xiaoqian Jiang; Luca Bonomi; Yong Li 033; Hongkai Xiong; Lucila Ohno-Machado (IEEE Trans. Knowl. Data Eng., 2022)

General Bitwidth Assignment for Efficient Deep Convolutional Neural Network Quantization. - Wen Fei; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (IEEE Trans. Neural Networks Learn. Syst., 2022)

iPool - Information-Based Pooling in Hierarchical Graph Neural Networks. - Xing Gao 005; Wenrui Dai; Chenglin Li; Hongkai Xiong; Pascal Frossard (IEEE Trans. Neural Networks Learn. Syst., 2022)

Graph Neural Networks With Lifting-Based Adaptive Graph Wavelets. - Mingxing Xu; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong; Pascal Frossard (IEEE Trans. Signal Inf. Process. over Networks, 2022)

On the Convergence of Non-Convex Phase Retrieval With Denoising Priors. - Duoduo Xue; Ziyang Zheng; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (IEEE Trans. Signal Process., 2022)

Pose-Oriented Transformer with Uncertainty-Guided Refinement for 2D-to-3D Human Pose Estimation. - Han Li; Bowen Shi; Wenrui Dai; Hongwei Zheng 006; Botao Wang; Yu Sun; Min Guo; Chenglin Li; Junni Zou; Hongkai Xiong (AAAI, 2023)

Promoting Semantic Connectivity: Dual Nearest Neighbors Contrastive Learning for Unsupervised Domain Generalization. - Yuchen Liu 006; Yaoming Wang; Yabo Chen; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (CVPR, 2023)

Adapting Shortcut with Normalizing Flow: An Efficient Tuning Framework for Visual Recognition. - Yaoming Wang; Bowen Shi; Xiaopeng Zhang 008; Jin Li; Yuchen Liu 006; Wenrui Dai; Chenglin Li; Hongkai Xiong; Qi Tian 001 (CVPR, 2023)

Fully Integerized End-to-End Learned Image Compression. - Yimian Fang; Wen Fei; Shaohui Li; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (DCC, 2023)

Mixed-precision Deep Neural Network Quantization With Multiple Compression Rates. - Xuanda Wang; Wen Fei; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (DCC, 2023)

Learning Causal Representations for Generalizable Face Anti Spoofing. - Guanghao Zheng; Yuchen Liu 006; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (ICASSP, 2023)

Towards Unsupervised Domain Generalization for Face Anti-Spoofing. - Yuchen Liu 006; Yabo Chen; Mengran Gou; Chun-Ting Huang; Yaoming Wang; Wenrui Dai; Hongkai Xiong (ICCV, 2023)

Point Cloud Upsampling with Dynamic Graph Scattering Transform. - Shiyu Liu; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (ICIP, 2023)

Progressively Compressed Auto-Encoder for Self-supervised Representation Learning. - Jin Li; Yaoming Wang; Xiaopeng Zhang 008; Yabo Chen; Dongsheng Jiang; Wenrui Dai; Chenglin Li; Hongkai Xiong; Qi Tian 001 (ICLR, 2023)

ActionPrompt: Action-Guided 3D Human Pose Estimation With Text and Pose Prompting. - Hongwei Zheng 006; Han Li; Bowen Shi; Wenrui Dai; Botao Wang; Yu Sun; Min Guo; Hongkai Xiong (ICME, 2023)

FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information Regularization. - Hao Zhang; Chenglin Li; Wenrui Dai; Junni Zou; Hongkai Xiong (ICML, 2023)

Rotation-Invariant Point Cloud Segmentation With Kernel Principal Component Analysis and Geometry-Based Weighted Convolution. - Yuqi Li; Qin Yang 002; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (ISCAS, 2023)

VioLET: Vision-Language Efficient Tuning with Collaborative Multi-modal Gradients. - Yaoming Wang; Yuchen Liu 006; Xiaopeng Zhang 008; Jin Li; Bowen Shi; Chenglin Li; Wenrui Dai; Hongkai Xiong; Qi Tian 001 (ACM Multimedia, 2023)

Doubly Robust Augmented Transfer for Meta-Reinforcement Learning. - Yuankun Jiang; Nuowen Kan; Chenglin Li; Wenrui Dai; Junni Zou; Hongkai Xiong (NeurIPS, 2023)

AiluRus: A Scalable ViT Framework for Dense Prediction. - Jin Li; Yaoming Wang; Xiaopeng Zhang 008; Bowen Shi; Dongsheng Jiang; Chenglin Li; Wenrui Dai; Hongkai Xiong; Qi Tian 001 (NeurIPS, 2023)

Robust Point Cloud Classification With Permutohedral Lattice-based Representation. - Li Ding; Mingxing Xu; Wenrui Dai; Cewu Lu; Weisheng Hu; Lin Zhang; Junfeng Du; Hongkai Xiong (VCIP, 2023)

Learned Progressive Image Compression With Spatial Autoregression. - Wenxin Tian; Shaohui Li; Wenrui Dai; Cewu Lu; Weisheng Hu; Lin Zhang; Junfeng Du; Hongkai Xiong (VCIP, 2023)

Learned Lossless Compression for JPEG via Frequency-Domain Prediction. - Jixiang Luo; Shaohui Li; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (CoRR, 2023)

Scene Graph Lossless Compression with Adaptive Prediction for Objects and Relations. - Yufeng Zhang; Weiyao Lin; Wenrui Dai; Huabin Liu 001; Hongkai Xiong (CoRR, 2023)

scBiGNN: Bilevel Graph Representation Learning for Cell Type Classification from Single-cell RNA Sequencing Data. - Rui Yang 014; Wenrui Dai; Chenglin Li; Junni Zou; Dapeng Wu 001; Hongkai Xiong (CoRR, 2023)

Spatial-Temporal DAG Convolutional Networks for End-to-End Joint Effective Connectivity Learning and Resting-State fMRI Classification. - Rui Yang 014; Wenrui Dai; Huajun She; Yiping P. Du; Dapeng Wu 001; Hongkai Xiong (CoRR, 2023)

Automatic Representative Frame Selection and Intrathoracic Lymph Node Diagnosis With Endobronchial Ultrasound Elastography Videos. - Mingxing Xu; Junxiang Chen; Jin Li; Xinxin Zhi; Wenrui Dai; Jiayuan Sun; Hongkai Xiong (IEEE J. Biomed. Health Informatics, 2023)

QoE-Driven Adaptive Streaming for Point Clouds. - Lisha Wang; Chenglin Li; Wenrui Dai; Shaohui Li; Junni Zou; Hongkai Xiong (IEEE Trans. Multim., 2023)

Light Field Compression With Graph Learning and Dictionary-Guided Sparse Coding. - Yuchen Zhang; Wenrui Dai; Yong Li 033; Chenglin Li; Junhui Hou; Junni Zou; Hongkai Xiong (IEEE Trans. Multim., 2023)

Tackling Over-Smoothing in Graph Convolutional Networks With EM-Based Joint Topology Optimization and Node Classification. - Rui Yang 014; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (IEEE Trans. Signal Inf. Process. over Networks, 2023)

Anisotropic Spherical Scattering Networks via Directional Spin Wavelet. - Yuehan Xiong; Wenrui Dai; Wen Fei; Shaohui Li; Hongkai Xiong (IEEE Trans. Signal Process., 2023)

Seed the Views: Hierarchical Semantic Alignment for Contrastive Representation Learning. - Haohang Xu; Xiaopeng Zhang 008; Hao Li 090; Lingxi Xie; Wenrui Dai; Hongkai Xiong; Qi Tian 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Hybrid ISTA: Unfolding ISTA With Convergence Guarantees Using Free-Form Deep Neural Networks. - Ziyang Zheng; Wenrui Dai; Duoduo Xue; Chenglin Li; Junni Zou; Hongkai Xiong (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Learned Progressive Image Compression With Dead-Zone Quantizers. - Shaohui Li; Han Li; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (IEEE Trans. Circuits Syst. Video Technol., 2023)

BNET: Batch Normalization With Enhanced Linear Transformation. - Yuhui Xu; Lingxi Xie; Cihang Xie; Wenrui Dai; Jieru Mei; Siyuan Qiao; Wei Shen 002; Hongkai Xiong; Alan L. Yuille (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Entropy Relaxed Lattice Vector Quantization for Learned Image Compression. - Maida Cao; Wenrui Dai; Shaohui Li; Han Li; Chenglin Li; Junni Zou; Hongkai Xiong (DCC, 2024)

Initialization Seeds Facilitating Neural Network Quantization. - Wen Fei; Li Ding; Yu Pan; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (DCC, 2024)

Adversarially Robust Neural Lyapunov Control. - Li Wei; Yuankun Jiang; Chenglin Li; Wenrui Dai; Junni Zou; Hongkai Xiong (ECAI, 2024)

Cascade-Zero123: One Image to Highly Consistent 3D with Self-prompted Nearby Views. - Yabo Chen; Jiemin Fang; Yuyang Huang; Taoran Yi; Xiaopeng Zhang 008; Lingxi Xie; Xinggang Wang; Wenrui Dai; Hongkai Xiong; Qi Tian 001 (ECCV (41), 2024)

DomainFusion: Generalizing to Unseen Domains with Latent Diffusion Models. - Yuyang Huang; Yabo Chen; Yuchen Liu 006; Xiaopeng Zhang 008; Wenrui Dai; Hongkai Xiong; Qi Tian 001 (ECCV (41), 2024)

Image Compression for Machine and Human Vision with Spatial-Frequency Adaptation. - Han Li; Shaohui Li; Shuangrui Ding; Wenrui Dai; Maida Cao; Chenglin Li; Junni Zou; Hongkai Xiong (ECCV (51), 2024)

UMG-CLIP: A Unified Multi-granularity Vision Generalist for Open-World Understanding. - Bowen Shi; Peisen Zhao; Zichen Wang; Yuhang Zhang 012; Yaoming Wang; Jin Li; Wenrui Dai; Junni Zou; Hongkai Xiong; Qi Tian 001; Xiaopeng Zhang 008 (ECCV (38), 2024)

BaSIC: BayesNet Structure Learning for Computational Scalable Neural Image Compression. - Yufeng Zhang; Hang Yu 002; Shizhan Liu; Wenrui Dai; Weiyao Lin (ECCV (25), 2024)

Towards Unified Representation of Invariant-Specific Features in Missing Modality Face Anti-spoofing. - Guanghao Zheng; Yuchen Liu 006; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (ECCV (22), 2024)

DCCM: Dual Data Consistency Guided Consistency Model for Inverse Problems. - Jiahao Tian; Ziyang Zheng; Xinyu Peng; Yong Li 033; Wenrui Dai; Hongkai Xiong (ICIP, 2024)

Frequency-Aware Transformer for Learned Image Compression. - Han Li; Shaohui Li; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (ICLR, 2024)

Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners. - Bowen Shi; Xiaopeng Zhang 008; Yaoming Wang; Jin Li; Wenrui Dai; Junni Zou; Hongkai Xiong; Qi Tian 001 (ICLR, 2024)

BarLeRIa: An Efficient Tuning Framework for Referring Image Segmentation. - Yaoming Wang; Jin Li; Xiaopeng Zhang 008; Bowen Shi; Chenglin Li; Wenrui Dai; Hongkai Xiong; Qi Tian 001 (ICLR, 2024)

AMPA: Adaptive Mixed Precision Allocation for Low-Bit Integer Training. - Li Ding; Wen Fei; Yuyang Huang; Shuangrui Ding; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (ICML, 2024)

Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance. - Xinyu Peng; Ziyang Zheng; Wenrui Dai; Nuoqian Xiao; Chenglin Li; Junni Zou; Hongkai Xiong (ICML, 2024)

Bootstrap AutoEncoders With Contrastive Paradigm for Self-supervised Gaze Estimation. - Yaoming Wang; Jin Li; Wenrui Dai; Bowen Shi; Xiaopeng Zhang 008; Chenglin Li; Hongkai Xiong (ICML, 2024)

Point Cloud Upsampling with Geometric Algebra Driven Inverse Heat Dissipation. - Wenqiang Xu; Wenrui Dai; Ziyang Zheng; Chenglin Li; Junni Zou; Hongkai Xiong (ACM Multimedia, 2024)

Task-Oriented Multi-Bitstream Optimization for Image Compression and Transmission via Optimal Transport. - Sa Yan; Nuowen Kan; Chenglin Li; Wenrui Dai; Junni Zou; Hongkai Xiong (ACM Multimedia, 2024)

Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach. - Hao Zhang; Chenglin Li; Nuowen Kan; Ziyang Zheng; Wenrui Dai; Junni Zou; Hongkai Xiong (NeurIPS, 2024)

MC-DiT: Contextual Enhancement via Clean-to-Clean Reconstruction for Masked Diffusion Models. - Guanghao Zheng; Yuchen Liu 006; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (NeurIPS, 2024)

Deep Reinforcement Learning-Based Camera Autofocus with Gaussian Process Regression. - Li Wei; Yuankun Jiang; Chenglin Li; Wenrui Dai; Junni Zou; Hongkai Xiong (VCIP, 2024)

Research on Reliability Allocation Method for Traction Power Supply System of Electrified Railways in Mountainous Areas. - Like Pan; Yujie Tian; Shan Ma; Wenrui Dai; Liming Chen (IEEE Access, 2024)

Point Cloud Denoising With Fine-Granularity Dynamic Graph Convolutional Networks. - Wenqiang Xu; Wenrui Dai; Duoduo Xue; Ziyang Zheng; Chenglin Li; Junni Zou; Hongkai Xiong (CoRR, 2024)

LiftImage3D: Lifting Any Single Image to 3D Gaussians with Video Generation Priors. - Yabo Chen; Chen Yang 023; Jiemin Fang; Xiaopeng Zhang 008; Lingxi Xie; Wei Shen 002; Wenrui Dai; Hongkai Xiong; Qi Tian 001 (CoRR, 2024)

Successor Feature-Based Transfer Reinforcement Learning for Video Rate Adaptation With Heterogeneous QoE Preferences. - Kexin Tang; Nuowen Kan; Yuankun Jiang; Chenglin Li; Wenrui Dai; Junni Zou; Hongkai Xiong (IEEE Trans. Multim., 2024)

SVGC-AVA: 360-Degree Video Saliency Prediction With Spherical Vector-Based Graph Convolution and Audio-Visual Attention. - Qin Yang 002; Yuqi Li; Chenglin Li; Hao Wang 183; Sa Yan; Li Wei; Wenrui Dai; Junni Zou; Hongkai Xiong; Pascal Frossard (IEEE Trans. Multim., 2024)

On Centralization and Unitization of Batch Normalization for Deep ReLU Neural Networks. - Wen Fei; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (IEEE Trans. Signal Process., 2024)

NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised Classification. - Rui Yang 014; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (IEEE Trans. Neural Networks Learn. Syst., 2024)

Variance Reduced Domain Randomization for Reinforcement Learning With Policy Gradient. - Yuankun Jiang; Chenglin Li; Wenrui Dai; Junni Zou; Hongkai Xiong (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

3-D Point Cloud Attribute Compression With -Laplacian Embedding Graph Dictionary Learning. - Xin Li; Wenrui Dai; Shaohui Li; Chenglin Li; Junni Zou; Hongkai Xiong (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Revisiting Learned Image Compression With Statistical Measurement of Latent Representations. - Shaohui Li; Wenrui Dai; Yimian Fang; Ziyang Zheng; Wen Fei; Hongkai Xiong; Wei Zhang 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Scene Graph Lossless Compression with Adaptive Prediction for Objects and Relations. - Weiyao Lin; Yufeng Zhang; Wenrui Dai; Huabin Liu 001; John See; Hongkai Xiong (ACM Trans. Multim. Comput. Commun. Appl., 2024)

A Unified Framework for Jointly Compressing Visual and Semantic Data. - Shizhan Liu; Weiyao Lin; Yihang Chen; Yufeng Zhang; Wenrui Dai; John See; Hongkai Xiong (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Source-Free Domain Adaptation With Domain Generalized Pretraining for Face Anti-Spoofing. - Yuchen Liu 006; Yabo Chen; Wenrui Dai; Mengran Gou; Chun-Ting Huang; Hongkai Xiong (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

360Spred: Saliency Prediction for 360-Degree Videos Based on 3D Separable Graph Convolutional Networks. - Qin Yang 002; Wenxuan Gao; Chenglin Li; Hao Wang 183; Wenrui Dai; Junni Zou; Hongkai Xiong; Pascal Frossard (IEEE Trans. Circuits Syst. Video Technol., 2024)

HiPART: Hierarchical Pose AutoRegressive Transformer for Occluded 3D Human Pose Estimation. - Hongwei Zheng 006; Han Li; Wenrui Dai; Ziyang Zheng; Chenglin Li; Junni Zou; Hongkai Xiong (CVPR, 2025)

IM-Zero: Instance-level Motion Controllable Video Generation in a Zero-shot Manner. - Yuyang Huang; Yabo Chen; Li Ding; Xiaopeng Zhang 008; Wenrui Dai; Junni Zou; Hongkai Xiong; Qi Tian 001 (CVPR, 2025)

Stabilizing and Accelerating Autofocus with Expert Trajectory Regularized Deep Reinforcement Learning. - Shouhang Zhu; Chenglin Li; Yuankun Jiang; Li Wei; Nuowen Kan; Ziyang Zheng; Wenrui Dai; Junni Zou; Hongkai Xiong (CVPR, 2025)

Point Cloud Resampling With Learnable Heat Diffusion. - Wenqiang Xu; Wenrui Dai; Duoduo Xue; Ziyang Zheng; Chenglin Li; Junni Zou; Hongkai Xiong (ICASSP, 2025)

On Disentangled Training for Nonlinear Transform in Learned Image Compression. - Han Li; Shaohui Li; Wenrui Dai; Maida Cao; Nuowen Kan; Chenglin Li; Junni Zou; Hongkai Xiong (ICLR, 2025)

Fourier Phase Retrieval With Diffusion Priors Guided by Failure Detection. - Duoduo Xue; Wenrui Dai; Ziyang Zheng; Xinyu Peng; Junni Zou; Hongkai Xiong (ISCAS, 2025)

Analysis discriminative convolutional graph dictionary learning for generalized signal classification. - Yuehan Xiong; Xin Li; Wenrui Dai; Hongkai Xiong (Signal Process. Image Commun., 2025)

MENSA: Multi-Dataset Harmonized Pretraining for Semantic Segmentation. - Bowen Shi; Xiaopeng Zhang 008; Yaoming Wang; Wenrui Dai; Junni Zou; Hongkai Xiong (IEEE Trans. Multim., 2025)

Generalized Quantum State Tomography With Hybrid Denoising Priors. - Duoduo Xue; Wenrui Dai; Ziyang Zheng; Chenglin Li; Junni Zou; Hongkai Xiong (IEEE Trans. Signal Process., 2025)

Stabilizing and Accelerating Federated Learning on Heterogeneous Data With Partial Client Participation. - Hao Zhang; Chenglin Li; Wenrui Dai; Ziyang Zheng; Junni Zou; Hongkai Xiong (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Latent Weight Quantization for Integerized Training of Deep Neural Networks. - Wen Fei; Wenrui Dai; Liang Zhang 027; Luoming Zhang; Chenglin Li; Junni Zou; Hongkai Xiong (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

End-to-End Optimized Image Compression With Deep Gaussian Process Regression. - Maida Cao; Wenrui Dai; Shaohui Li; Chenglin Li; Junni Zou; Ying Chen; Hongkai Xiong (IEEE Trans. Circuits Syst. Video Technol., 2025)

Task-Adapted Learnable Embedded Quantization for Scalable Human-Machine Image Compression. - Shaohui Li; Shuoyu Ma; Wenrui Dai; Nuowen Kan; Fan Cheng 002; Chenglin Li; Junni Zou; Hongkai Xiong (IEEE Trans. Circuits Syst. Video Technol., 2025)

Noise Conditional Variational Score Distillation. - Xinyu Peng; Ziyang Zheng; Yaoming Wang; Han Li; Nuowen Kan; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (CoRR, 2025)

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression. - Yufeng Zhang; Wenrui Dai; Hang Yu 002; Shizhan Liu; Junhui Hou; Jianguo Li; Weiyao Lin (CoRR, 2025)

Federated Learning Based on Model Discrepancy and Variance Reduction. - Hao Zhang; Chenglin Li; Wenrui Dai; Junni Zou; Hongkai Xiong (IEEE Trans. Neural Networks Learn. Syst., 2025)

METEOR: Multi-Encoder Collaborative Token Pruning for Efficient Vision Language Models. - Yuchen Liu 006; Yaoming Wang; Bowen Shi; Xiaopeng Zhang 008; Wenrui Dai; Chenglin Li; Hongkai Xiong; Qi Tian 001 (CoRR, 2025)

3DGabSplat: 3D Gabor Splatting for Frequency-adaptive Radiance Field Rendering. - Junyu Zhou; Yuyang Huang; Wenrui Dai; Junni Zou; Ziyang Zheng; Nuowen Kan; Chenglin Li; Hongkai Xiong (CoRR, 2025)

Learnable Non-Uniform Quantization With Sampling-Based Optimization for Variable-Rate Learned Image Compression. - Shaohui Li; Wenrui Dai; Nuowen Kan; Chenglin Li; Junni Zou; Hongkai Xiong (IEEE Trans. Circuits Syst. Video Technol., 2025)

Contrastive Learning via Variational Information Bottleneck. - Jin Li; Yaoming Wang; Xiaopeng Zhang 008; Dongsheng Jiang; Wenrui Dai; Chenglin Li; Hongkai Xiong; Qi Tian 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)