Network TV Broadcasting with Multi-Programs on Application-Oriented QoS. - Hongkai Xiong; Junni Zou; Songyu Yu; Jun Sun 005 (IEICE Trans. Commun., 2005)

A Priority-Based Packet Scheduling Architecture for Integrated Services Networks. - Junni Zou; Hongkai Xiong; Rujian Lin (IEICE Trans. Commun., 2006)

Joint Coding/Routing Optimization for Correlated Sources in Wireless Visual Sensor Networks. - Chenglin Li; Junni Zou; Hongkai Xiong; Yongsheng Zhang (GLOBECOM, 2009)

Prioritized Flow Optimization with Generalized Routing for Scalable Multirate Multicasting. - Junni Zou; Hongkai Xiong; Li Song 001; Zhihai He; Tsuhan Chen (ICC, 2009)

Receiver-driven layered overlay multicast for scalable video streaming. - Junni Zou; Min Wang; Leyang Li; Hongkai Xiong (ICME, 2009)

A Unified QoS Optimization for Scalable Video Multirate Multicast over Hybrid Coded Network. - Chen Li; Hongkai Xiong; Junni Zou; Tsuhan Chen (ICC, 2010)

Modeling and Optimization of Network Lifetime in Wireless Video Sensor Networks. - Junni Zou; Chong Tan; Ruifeng Zhang 001; Hongkai Xiong (ICC, 2010)

Optimization on rate allocation and distortion control for scalable video coding multicast networks. - Lu Jiang; Junni Zou; Hongkai Xiong (VCIP, 2010)

Bandwidth auction for SVC streaming in dynamic multi-overlay. - Yanting Xiong; Junni Zou; Hongkai Xiong (VCIP, 2010)

Global Correlated Data Gathering in Wireless Sensor Networks with Compressive Sensing and Randomized Gossiping. - Yifeng Li; Junni Zou; Hongkai Xiong (GLOBECOM, 2011)

Auction-Based Power Allocation for Multiuser Two-Way Relaying Networks with Network Coding. - Hongwan Xu; Junni Zou (GLOBECOM, 2011)

Correlated Data Gathering on Dynamic Network Coding Policy and Opportunistic Routing in Wireless Sensor Network. - Chong Tan; Junni Zou; Min Wang; Hongkai Xiong (ICC, 2011)

Optimal Layered Multicast with Source Rate Adaption in Two-Level Hierarchical Overlay Networks. - Junni Zou; Leyang Li; Hongkai Xiong (ICC, 2011)

Network lifetime optimization for wireless video sensor networks with network coding/ARQ hybrid adaptive error-control scheme. - Chong Tan; Junni Zou; Min Wang; Ruifeng Zhang (Comput. Networks, 2011)

Joint Source and Flow Optimization for Scalable Video Multirate Multicast Over Hybrid Wired/Wireless Coded Networks. - Chenglin Li; Hongkai Xiong; Junni Zou; Zhihai He (IEEE Trans. Circuits Syst. Video Technol., 2011)

Joint Coding/Routing Optimization for Distributed Video Sources in Wireless Visual Sensor Networks. - Chenglin Li; Junni Zou; Hongkai Xiong; Chang Wen Chen (IEEE Trans. Circuits Syst. Video Technol., 2011)

Prioritized Flow Optimization With Multi-Path and Network Coding Based Routing for Scalable Multirate Multicasting. - Junni Zou; Hongkai Xiong; Chenglin Li; Li Song 001; Zhihai He; Tsuhan Chen (IEEE Trans. Circuits Syst. Video Technol., 2011)

Lifetime and Distortion Optimization With Joint Source/Channel Rate Adaptation and Network Coding-Based Error Control in Wireless Video Sensor Networks. - Junni Zou; Hongkai Xiong; Chenglin Li; Ruifeng Zhang 001; Zhihai He (IEEE Trans. Veh. Technol., 2011)

Incentive-Based Bandwidth Auction for Scalable Streaming in Peer-to-Peer Networks. - Lin Chen; Junni Zou (IFTC, 2012)

A Client-Driven Selective Streaming System for Multi-view Video Transmission. - Zheng Shi; Junni Zou (IFTC, 2012)

Distributed Robust Optimization for Scalable Video Multirate Multicast Over Wireless Networks. - Chenglin Li; Hongkai Xiong; Junni Zou; Chang Wen Chen (IEEE Trans. Circuits Syst. Video Technol., 2012)

A scalable depth coding with arc breakpoints based synthesis in 3-D video. - Xiaopeng Zhang 008; Junni Zou; Xiao Gu 001; Hongkai Xiong (BMSB, 2013)

MR. Eye: A Multi-hop Real-time Wireless Multimedia Sensor Network. - Yanliang Jin; Yingxiong Song; Jian Chen; Yingchun Li; Junjie Zhang; Junni Zou (EMC/HumanCom, 2013)

Joint Opportunistic Network Coding and Opportunistic Routing for Correlated Data Gathering in Wireless Sensor Network. - Chong Tan; Junni Zou; Min Wang (VTC Fall, 2013)

Optimal Power Allocation for Hybrid Overlay/Underlay Spectrum Sharing in Multiband Cognitive Radio Networks. - Junni Zou; Hongkai Xiong; Dawei Wang 010; Chang Wen Chen (IEEE Trans. Veh. Technol., 2013)

Auction-Based Power Allocation for Multiuser Two-Way Relaying Networks. - Junni Zou; Hongwan Xu (IEEE Trans. Wirel. Commun., 2013)

Joint spectrum and power allocation in coded cooperative cognitive radio networks. - Qiong Wu; Junni Zou; Zhuo Wu (ICC, 2014)

Bandwidth Allocation for Video Streaming over Peer-to-Peer Networks with Nash Bargaining. - Liping Liu; Junni Zou; Hongkai Xiong (ICIMCS, 2014)

Flow Optimization for Scalable Multi-view Video over Wireless Network. - Yang Yang 002; Junni Zou; Hongkai Xiong (ICIMCS, 2014)

Dynamic rate allocation and opportunistic routing for scalable video multirate multicast over time-varying wireless networks. - Chenglin Li; Hongkai Xiong; Junni Zou; Dapeng Oliver Wu (INFOCOM Workshops, 2014)

Joint bandwidth allocation, data scheduling and incentives for scalable video streaming over peer-to-peer networks. - Junni Zou; Lin Chen (Multim. Tools Appl., 2014)

Content-aware optimization on rate-distortion and network traffic for scalable video multicast networks. - Junni Zou; Lu Jiang; Chenglin Li (Multim. Tools Appl., 2014)

Joint Spectrum and Power Auction With Multiauctioneer and Multibidder in Coded Cooperative Cognitive Radio Networks. - Junni Zou; Qiong Wu; Hongkai Xiong; Chang Wen Chen (IEEE Trans. Wirel. Commun., 2014)

Interactive multiview video scheduling through bargaining. - Weiliang Xu 002; Junni Zou; Hongkai Xiong (ICIP, 2015)

Dynamic Spectrum Access and Power Allocation for Cooperative Cognitive Radio Networks. - Junni Zou; Qiong Wu; Hongkai Xiong; Chang Wen Chen (IEEE Trans. Signal Process., 2015)

Joint source-channel rate control for multiview video streaming over erasure channels. - Weiliang Xu 002; Junni Zou; Hongkai Xiong (ICIP, 2016)

Distributed wireless video caching placement for dynamic adaptive streaming. - Chenglin Li; Pascal Frossard; Hongkai Xiong; Junni Zou (NOSSDAV, 2016)

Complexity constrained representation selection for dynamic adaptive streaming. - Chenglin Li; Laura Toni; Pascal Frossard; Hongkai Xiong; Junni Zou (VCIP, 2016)

Distributed optimization of lifetime and throughput with power consumption balance opportunistic routing in dynamic wireless sensor networks. - Jian Sun; Junni Zou; Liwan Huang (Int. J. Distributed Sens. Networks, 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)

Multitask Learning of Compact Semantic Codebooks for Context-Aware Scene Modeling. - Botao Wang; Hongkai Xiong; Weiyao Lin; Junni Zou; Yuan F. Zheng (IEEE Trans. Image Process., 2016)

Video Content Caching and Delivery for Tri-Party Joint Profit Optimization. - Congcong Zhai; Junni Zou; Yunfei Zhang (ICIG (2), 2017)

Reinforcement learning-based opportunistic routing for live video streaming over multi-hop wireless networks. - Kexin Tang; Chenglin Li; Hongkai Xiong; Junni Zou; Pascal Frossard (MMSP, 2017)

Joint pricing and service selection for service-differentiated duopoly in cognitive radio networks. - Junni Zou; Liwan Huang (IET Commun., 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)

Server-Side Rate Adaptation for Multi-User 360-Degree Video Streaming. - Chengming Liu; Nuowen Kan; Junni Zou; Qin Yang 002; Hongkai Xiong (ICIP, 2018)

Delay-Power-Rate-Distortion Optimization of Video Representations for Dynamic Adaptive Streaming. - Chenglin Li; Laura Toni; Junni Zou; Hongkai Xiong; Pascal Frossard (IEEE Trans. Circuits Syst. Video Technol., 2018)

QoE-Driven Mobile Edge Caching Placement for Adaptive Video Streaming. - Chenglin Li; Laura Toni; Junni Zou; Hongkai Xiong; Pascal Frossard (IEEE Trans. Multim., 2018)

Joint Dynamic Rate Control and Transmission Scheduling for Scalable Video Multirate Multicast Over Wireless Networks. - Chenglin Li; Hongkai Xiong; Junni Zou; Dapeng Oliver Wu (IEEE Trans. Multim., 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)

Towards Accurate One-Stage Object Detection With AP-Loss. - Kean Chen; Jianguo Li; Weiyao Lin; John See; Ji Wang; Lingyu Duan; Zhibo Chen 006; Changwei He; Junni Zou (CVPR, 2019)

Deep Neural Network-Based Algorithm Approximation via Multivariate Polynomial Regression. - Chunmiao Liu; Bowen Shi; Chenglin Li; Junni Zou; Yingqi Chen; Hongkai Xiong (GLOBECOM, 2019)

Deep Reinforcement Learning-based Rate Adaptation for Adaptive 360-Degree Video Streaming. - Nuowen Kan; Junni Zou; Kexin Tang; Chenglin Li; Ning Liu; Hongkai Xiong (ICASSP, 2019)

A Server-Side Optimized Hybrid Multicast-Unicast Strategy for Multi-User Adaptive 360-Degree Video Streaming. - Nuowen Kan; Chengming Liu; Junni Zou; Chenglin Li; Hongkai Xiong (ICIP, 2019)

Single and Sequential Viewports Prediction for 360-Degree Video Streaming. - Qin Yang 002; Junni Zou; Kexin Tang; Chenglin Li; Hongkai Xiong (ISCAS, 2019)

Transcoding-Enabled Edge Caching and Delivery for Tile-Based Adaptive 360-Degree Video Streaming. - Qiaoyu Lu; Chenglin Li; Junni Zou; Kexin Tang; Qi Wang 032; Hongkai Xiong (VCIP, 2019)

Multiuser Video Streaming Rate Adaptation: A Physical Layer Resource-Aware Deep Reinforcement Learning Approach. - Kexin Tang; Nuowen Kan; Junni Zou; Xiao Fu 001; Mingyi Hong 001; Hongkai Xiong (VCIP, 2019)

Optimization-based Decentralized Coded Caching for Files and Caches with Arbitrary Size. - Qi Wang 032; Ying Cui 001; Sian Jin; Junni Zou; Chenglin Li; Hongkai Xiong (CoRR, 2019)

Group Re-Identification with Multi-grained Matching and Integration. - Weiyao Lin; Yuxi Li 009; Hao Xiao; John See; Junni Zou; Hongkai Xiong; Jingdong Wang 001; Tao Mei 001 (CoRR, 2019)

Joint Pricing and Cache Placement for Video Caching: A Game Theoretic Approach. - Junni Zou; Chenglin Li; Congcong Zhai; Hongkai Xiong; Eckehard G. Steinbach (IEEE J. Sel. Areas Commun., 2019)

Sparse-to-Dense Depth Estimation in Videos via High-Dimensional Tensor Voting. - Botao Wang; Junni Zou; Yong Li 033; Kuanyu Ju; Hongkai Xiong; Yuan F. Zheng (IEEE Trans. Circuits Syst. Video Technol., 2019)

Joint Pricing and Decision-Making for Heterogeneous User Demand in Cognitive Radio Networks. - Junni Zou; Liwan Huang; Xiaofeng Gao 001; Hongkai Xiong (IEEE Trans. Cybern., 2019)

Towards Efficient Multi-Channel Data Broadcast for Multimedia Streams. - Xiaofeng Gao 001; Ailun Song; Luoyao Hao; Junni Zou; Guihai Chen; Shaojie Tang 001 (IEEE Trans. Parallel Distributed Syst., 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)

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)

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)

Probabilistic Tile Visibility-Based Server-Side Rate Adaptation for Adaptive 360-Degree Video Streaming. - Junni Zou; Chenglin Li; Chengming Liu; Qin Yang 002; Hongkai Xiong; Eckehard G. Steinbach (IEEE J. Sel. Top. Signal Process., 2020)

Optimization-Based Decentralized Coded Caching for Files and Caches With Arbitrary Sizes. - Qi Wang 032; Ying Cui 001; Sian Jin; Junni Zou; Chenglin Li; Hongkai Xiong (IEEE Trans. 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)

Partition-Aware Adaptive Switching Neural Networks for Post-Processing in HEVC. - Weiyao Lin; Xiaoyi He; Xintong Han; Dong Liu 002; John See; Junni Zou; Hongkai Xiong; Feng Wu 001 (IEEE Trans. Multim., 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)

Optimization-based Block Coordinate Gradient Coding. - Qi Wang 032; Ying Cui 001; Chenglin Li; Junni Zou; Hongkai Xiong (GLOBECOM, 2021)

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

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)

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

AP-Loss for Accurate One-Stage Object Detection. - Kean Chen; Weiyao Lin; Jianguo Li; John See; Ji Wang; Junni Zou (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)

Multi-User Adaptive Video Delivery Over Wireless Networks: A Physical Layer Resource-Aware Deep Reinforcement Learning Approach. - Kexin Tang; Nuowen Kan; Junni Zou; Chenglin Li; Xiao Fu 001; Mingyi Hong 001; Hongkai Xiong (IEEE Trans. Circuits Syst. Video Technol., 2021)

Group Reidentification with Multigrained Matching and Integration. - Weiyao Lin; Yuxi Li 009; Hao Xiao; John See; Junni Zou; Hongkai Xiong; Jingdong Wang 001; Tao Mei 001 (IEEE Trans. Cybern., 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)

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)

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)

Rotation-Equivariant Graph Convolutional Networks For Spherical Data Via Global-Local Attention. - Jiayi Xu; Qin Yang 002; Chenglin Li; Junni Zou; Hongkai Xiong; Xinlong Pan; Haipeng Wang (ICIP, 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)

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)

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)

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)

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)

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

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

Learned Lossless Compression for JPEG via Frequency-Domain Prediction. - Jixiang Luo; Shaohui Li; Wenrui Dai; Chenglin Li; Junni Zou; 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)

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)

Optimization-Based Block Coordinate Gradient Coding for Mitigating Partial Stragglers in Distributed Learning. - Qi Wang 032; Ying Cui 001; Chenglin Li; Junni Zou; Hongkai Xiong (IEEE Trans. Signal Process., 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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)