Chenglin Li

Orcid: 0000-0001-7477-7945

According to our database1, Chenglin Li authored at least 162 papers between 2009 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
WiPhase: A Human Activity Recognition Approach by Fusing of Reconstructed WiFi CSI Phase Features.
IEEE Trans. Mob. Comput., January, 2025

Stabilizing and Accelerating Federated Learning on Heterogeneous Data With Partial Client Participation.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2025

2024
360Spred: Saliency Prediction for 360-Degree Videos Based on 3D Separable Graph Convolutional Networks.
IEEE Trans. Circuits Syst. Video Technol., October, 2024

Pineapple Detection with YOLOv7-Tiny Network Model Improved via Pruning and a Lightweight Backbone Sub-Network.
Remote. Sens., August, 2024

A Deep Learning Based Lightweight Human Activity Recognition System Using Reconstructed WiFi CSI.
IEEE Trans. Hum. Mach. Syst., February, 2024

3-D Point Cloud Attribute Compression With -Laplacian Embedding Graph Dictionary Learning.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

Variance Reduced Domain Randomization for Reinforcement Learning With Policy Gradient.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised Classification.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

On Centralization and Unitization of Batch Normalization for Deep ReLU Neural Networks.
IEEE Trans. Signal Process., 2024

SVGC-AVA: 360-Degree Video Saliency Prediction With Spherical Vector-Based Graph Convolution and Audio-Visual Attention.
IEEE Trans. Multim., 2024

Successor Feature-Based Transfer Reinforcement Learning for Video Rate Adaptation With Heterogeneous QoE Preferences.
IEEE Trans. Multim., 2024

Shadows in the Interface: A Comprehensive Study on Dark Patterns.
Proc. ACM Softw. Eng., 2024

Robot control system based on deep learning and RPA.
J. Intell. Fuzzy Syst., 2024

UFO-MAC: A Unified Framework for Optimization of High-Performance Multipliers and Multiply-Accumulators.
CoRR, 2024

CTRL: Continuous-Time Representation Learning on Temporal Heterogeneous Information Network.
CoRR, 2024

Task-Oriented Multi-Bitstream Optimization for Image Compression and Transmission via Optimal Transport.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Point Cloud Upsampling with Geometric Algebra Driven Inverse Heat Dissipation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Bootstrap AutoEncoders With Contrastive Paradigm for Self-supervised Gaze Estimation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

AMPA: Adaptive Mixed Precision Allocation for Low-Bit Integer Training.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

BarLeRIa: An Efficient Tuning Framework for Referring Image Segmentation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Frequency-Aware Transformer for Learned Image Compression.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

RuleGLM: An Ethics Evaluation Framework with Knowledge Vector Space.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Mixed Distillation Helps Smaller Language Models Reason Better.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Optimizing Instruction Synthesis: Effective Exploration of Evolutionary Space with Tree Search.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Teaching Small Language Models Reasoning through Counterfactual Distillation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Towards Unified Representation of Invariant-Specific Features in Missing Modality Face Anti-spoofing.
Proceedings of the Computer Vision - ECCV 2024, 2024

Image Compression for Machine and Human Vision with Spatial-Frequency Adaptation.
Proceedings of the Computer Vision - ECCV 2024, 2024

Adversarially Robust Neural Lyapunov Control.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Initialization Seeds Facilitating Neural Network Quantization.
Proceedings of the Data Compression Conference, 2024

Entropy Relaxed Lattice Vector Quantization for Learned Image Compression.
Proceedings of the Data Compression Conference, 2024

2023
Learned Progressive Image Compression With Dead-Zone Quantizers.
IEEE Trans. Circuits Syst. Video Technol., June, 2023

A novel process planning method of 3 + 2-axis additive manufacturing for aero-engine blade based on machine learning.
J. Intell. Manuf., April, 2023

Hybrid ISTA: Unfolding ISTA With Convergence Guarantees Using Free-Form Deep Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Optimization-Based Block Coordinate Gradient Coding for Mitigating Partial Stragglers in Distributed Learning.
IEEE Trans. Signal Process., 2023

Tackling Over-Smoothing in Graph Convolutional Networks With EM-Based Joint Topology Optimization and Node Classification.
IEEE Trans. Signal Inf. Process. over Networks, 2023

Light Field Compression With Graph Learning and Dictionary-Guided Sparse Coding.
IEEE Trans. Multim., 2023

QoE-Driven Adaptive Streaming for Point Clouds.
IEEE Trans. Multim., 2023

Multi-Scale Depthwise Separable Convolution for Semantic Segmentation in Street-Road Scenes.
Remote. Sens., 2023

Cloud computing data privacy protection method based on blockchain.
Int. J. Grid Util. Comput., 2023

Mixed Distillation Helps Smaller Language Model Better Reasoning.
CoRR, 2023

scBiGNN: Bilevel Graph Representation Learning for Cell Type Classification from Single-cell RNA Sequencing Data.
CoRR, 2023

OlaGPT: Empowering LLMs With Human-like Problem-Solving Abilities.
CoRR, 2023

Learned Lossless Compression for JPEG via Frequency-Domain Prediction.
CoRR, 2023

One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Online Volume Optimization for Notifications via Long Short-Term Value Modeling.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

AiluRus: A Scalable ViT Framework for Dense Prediction.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Doubly Robust Augmented Transfer for Meta-Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Optimization of CMOS Voltage Reference with Blended Distribution Estimation Based on Parameter Evolutionary Algorithms.
Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023

VioLET: Vision-Language Efficient Tuning with Collaborative Multi-modal Gradients.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Rotation-Invariant Point Cloud Segmentation With Kernel Principal Component Analysis and Geometry-Based Weighted Convolution.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information Regularization.
Proceedings of the International Conference on Machine Learning, 2023

Progressively Compressed Auto-Encoder for Self-supervised Representation Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Point Cloud Upsampling with Dynamic Graph Scattering Transform.
Proceedings of the IEEE International Conference on Image Processing, 2023

Learning Causal Representations for Generalizable Face Anti Spoofing.
Proceedings of the IEEE International Conference on Acoustics, 2023

Investigating the Impact of Bug Dependencies on Bug-Fixing Time Prediction.
Proceedings of the ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2023

Mixed-precision Deep Neural Network Quantization With Multiple Compression Rates.
Proceedings of the Data Compression Conference, 2023

Fully Integerized End-to-End Learned Image Compression.
Proceedings of the Data Compression Conference, 2023

Adapting Shortcut with Normalizing Flow: An Efficient Tuning Framework for Visual Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Promoting Semantic Connectivity: Dual Nearest Neighbors Contrastive Learning for Unsupervised Domain Generalization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Knowledge Graph-Based Approach to Unstructured Multi-Source Data Fusion.
Proceedings of the Advances in Artificial Intelligence, Big Data and Algorithms - Proceedings of the 3rd International Conference on Artificial Intelligence, Big Data and Algorithms (CAIBDA 2023), 2023

Pose-Oriented Transformer with Uncertainty-Guided Refinement for 2D-to-3D Human Pose Estimation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
On the Convergence of Non-Convex Phase Retrieval With Denoising Priors.
IEEE Trans. Signal Process., 2022

Graph Neural Networks With Lifting-Based Adaptive Graph Wavelets.
IEEE Trans. Signal Inf. Process. over Networks, 2022

iPool - Information-Based Pooling in Hierarchical Graph Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2022

General Bitwidth Assignment for Efficient Deep Convolutional Neural Network Quantization.
IEEE Trans. Neural Networks Learn. Syst., 2022

RAPT360: Reinforcement Learning-Based Rate Adaptation for 360-Degree Video Streaming With Adaptive Prediction and Tiling.
IEEE Trans. Circuits Syst. Video Technol., 2022

Hierarchical Spherical CNNs with Lifting-based Adaptive Wavelets for Pooling and Unpooling.
CoRR, 2022

LiftPool: Lifting-based Graph Pooling for Hierarchical Graph Representation Learning.
CoRR, 2022

RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Active User Detection for Uplink NOMA Communication: Deep Learning Approach.
Proceedings of the 14th International Conference on Wireless Communications and Signal Processing, 2022

An Empirical Study of the Bug Link Rate.
Proceedings of the 22nd IEEE International Conference on Software Quality, 2022

Optimal Tile-Based Encoding for 360-Degree Video Streaming.
Proceedings of the Picture Coding Symposium, 2022

Tensor Network-Based Entropy Coding For Learned Image Compression.
Proceedings of the Picture Coding Symposium, 2022

Improving Generalization for Neural Adaptive Video Streaming via Meta Reinforcement Learning.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Efficient Search for Efficient Architecture.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Improving Optical Flow Inference for Video Colorization.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Mixed-Precision Quantization of U-Net for Medical Image Segmentation.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Causal Intervention for Generalizable Face Anti-Spoofing.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Rotation-Equivariant Graph Convolutional Networks For Spherical Data Via Global-Local Attention.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Efficient Coded Distributed Computing via Joint Cellular and D2D Communications.
Proceedings of the IEEE International Conference on Communications, 2022

MatRank: Text Re-ranking by Latent Preference Matrix.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Efficient Decoder for Learned Image Compression via Structured Pruning.
Proceedings of the Data Compression Conference, 2022

Graph Dictionary Learning for 3-D Point Cloud Compression.
Proceedings of the Data Compression Conference, 2022

Video Compression via Inter-frame Chroma Prediction.
Proceedings of the Data Compression Conference, 2022

Entropy Modeling via Gaussian Process Regression for Learned Image Compression.
Proceedings of the Data Compression Conference, 2022

Contrastive Regression for Domain Adaptation on Gaze Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Adaptive Task Sampling and Variance Reduction for Gradient-Based Meta-Learning.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Mask recognition scheme based on improved Vision Transformer.
Proceedings of the 15th International Congress on Image and Signal Processing, 2022

High-Resolution with Global Context Network for Human Pose Estimation.
Proceedings of the 27th Asia Pacific Conference on Communications, 2022

2021
Reversible Autoencoder: A CNN-Based Nonlinear Lifting Scheme for Image Reconstruction.
IEEE Trans. Signal Process., 2021

Multi-Scale Graph Convolutional Network With Spectral Graph Wavelet Frame.
IEEE Trans. Signal Inf. Process. over Networks, 2021

Multiscale Representation Learning of Graph Data With Node Affinity.
IEEE Trans. Signal Inf. Process. over Networks, 2021

Similarity Embedding Networks for Robust Human Activity Recognition.
ACM Trans. Knowl. Discov. Data, 2021

Multi-User Adaptive Video Delivery Over Wireless Networks: A Physical Layer Resource-Aware Deep Reinforcement Learning Approach.
IEEE Trans. Circuits Syst. Video Technol., 2021

Multi-Scale Structured Dictionary Learning for 3-D Point Cloud Attribute Compression.
IEEE Trans. Circuits Syst. Video Technol., 2021

Spectral Graph Convolutional Networks With Lifting-based Adaptive Graph Wavelets.
CoRR, 2021

Message Passing in Graph Convolution Networks via Adaptive Filter Banks.
CoRR, 2021

Meta-HAR: Federated Representation Learning for Human Activity Recognition.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Mixed-precision Quantization with Dynamical Hessian Matrix for Object Detection Network.
Proceedings of the International Conference on Visual Communications and Image Processing, 2021

Uncertainty-aware robust adaptive video streaming with bayesian neural network and model predictive control.
Proceedings of the 31st ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, 2021

Multi-task Scale Adaptive Ladder Network for Crowd Counting.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Monotonic Robust Policy Optimization with Model Discrepancy.
Proceedings of the 38th International Conference on Machine Learning, 2021

Learned Image Compression with Channel-Wise Grouped Context Modeling.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Learning Latent Architectural Distribution in Differentiable Neural Architecture Search via Variational Information Maximization.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

The Grassmannian-Codebook Based Non-Coherent Multiple Access for Massive Connections.
Proceedings of the 10th IEEE/CIC International Conference on Communications in China, 2021

QoE-Driven and Tile-Based Adaptive Streaming for Point Clouds.
Proceedings of the IEEE International Conference on Acoustics, 2021

Optimization-based Block Coordinate Gradient Coding.
Proceedings of the IEEE Global Communications Conference, 2021

Compressive Sensing via Unfolded 𝓁<sub>1</sub>-constrained Convolutional Sparse Coding.
Proceedings of the 31st Data Compression Conference, 2021

Lossless Compression for Video Streams with Frequency Prediction and Macro Block Merging.
Proceedings of the 31st Data Compression Conference, 2021

Hierarchical Graph Networks for 3D Human Pose Estimation.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Optimization-Based Decentralized Coded Caching for Files and Caches With Arbitrary Sizes.
IEEE Trans. Commun., 2020

Probabilistic Tile Visibility-Based Server-Side Rate Adaptation for Adaptive 360-Degree Video Streaming.
IEEE J. Sel. Top. Signal Process., 2020

NCGNN: Node-level Capsule Graph Neural Network.
CoRR, 2020

MimicNorm: Weight Mean and Last BN Layer Mimic the Dynamic of Batch Normalization.
CoRR, 2020

Graph Pooling with Node Proximity for Hierarchical Representation Learning.
CoRR, 2020

A nonlocal reaction-diffusion prey-predator model with free boundary.
Comput. Math. Appl., 2020

Spatial-Channel Context-Based Entropy Modeling for End-to-end Optimized Image Compression.
Proceedings of the 2020 IEEE International Conference on Visual Communications and Image Processing, 2020

SalGCN: Saliency Prediction for 360-Degree Images Based on Spherical Graph Convolutional Networks.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

FedExg: Federated Learning with Model Exchange.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

SI-VDNAS: Semi-Implicit Variational Dropout for Hierarchical One-shot Neural Architecture Search.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Structure-Aware Graph Construction For Point Cloud Segmentation With Graph Convolutional Networks.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Tiny-Hourglassnet: An Efficient Design For 3d Human Pose Estimation.
Proceedings of the IEEE International Conference on Image Processing, 2020

Rotation Equivariant Graph Convolutional Network for Spherical Image Classification.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Research on Debugging Interaction of IoT Devices Based on Visible Light Communication.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2020

2019
Secure and Smartphone-Assisted Reprogramming for Wireless Sensor Networks Based on Visible Light Communication.
Wirel. Commun. Mob. Comput., 2019

Joint Pricing and Cache Placement for Video Caching: A Game Theoretic Approach.
IEEE J. Sel. Areas Commun., 2019

Optimization-based Decentralized Coded Caching for Files and Caches with Arbitrary Size.
CoRR, 2019

Android Malware Detection Based on Factorization Machine.
IEEE Access, 2019

Transcoding-Enabled Edge Caching and Delivery for Tile-Based Adaptive 360-Degree Video Streaming.
Proceedings of the 2019 IEEE Visual Communications and Image Processing, 2019

Single and Sequential Viewports Prediction for 360-Degree Video Streaming.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

A Server-Side Optimized Hybrid Multicast-Unicast Strategy for Multi-User Adaptive 360-Degree Video Streaming.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

A 3-Dimensional Matching Method for Resource Allocation in D2D-Assisted Indoor Wireless Communications.
Proceedings of the 2019 IEEE/CIC International Conference on Communications in China, 2019

Deep Reinforcement Learning-based Rate Adaptation for Adaptive 360-Degree Video Streaming.
Proceedings of the IEEE International Conference on Acoustics, 2019

Deep Neural Network-Based Algorithm Approximation via Multivariate Polynomial Regression.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018
Joint Dynamic Rate Control and Transmission Scheduling for Scalable Video Multirate Multicast Over Wireless Networks.
IEEE Trans. Multim., 2018

QoE-Driven Mobile Edge Caching Placement for Adaptive Video Streaming.
IEEE Trans. Multim., 2018

Delay-Power-Rate-Distortion Optimization of Video Representations for Dynamic Adaptive Streaming.
IEEE Trans. Circuits Syst. Video Technol., 2018

On global bifurcation for a cross-diffusion predator-prey system with prey-taxis.
Comput. Math. Appl., 2018

2017
Stability and bifurcation of a ratio-dependent prey-predator system with cross-diffusion.
Comput. Math. Appl., 2017

Reinforcement learning-based opportunistic routing for live video streaming over multi-hop wireless networks.
Proceedings of the 19th IEEE International Workshop on Multimedia Signal Processing, 2017

Optimal decentralized coded caching for heterogeneous files.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
Global existence of classical solutions to the cross-diffusion three-species model with prey-taxis.
Comput. Math. Appl., 2016

A grid-based reliable routing protocol for wireless sensor networks with randomly distributed clusters.
Ad Hoc Networks, 2016

Complexity constrained representation selection for dynamic adaptive streaming.
Proceedings of the 2016 Visual Communications and Image Processing, 2016

Distributed wireless video caching placement for dynamic adaptive streaming.
Proceedings of the 26th International Workshop on Network and Operating Systems Support for Digital Audio and Video, 2016

2015
Delay-Rate-Distortion Optimized Rate Control for End-to-End Video Communication Over Wireless Channels.
IEEE Trans. Circuits Syst. Video Technol., 2015

2014
Delay - Power-Rate-Distortion Model for Wireless Video Communication Under Delay and Energy Constraints.
IEEE Trans. Circuits Syst. Video Technol., 2014

Content-aware optimization on rate-distortion and network traffic for scalable video multicast networks.
Multim. Tools Appl., 2014

Global existence of classical solutions to an acid-mediated invasion model for tumor-stromal interactions.
Appl. Math. Comput., 2014

Dynamic rate allocation and opportunistic routing for scalable video multirate multicast over time-varying wireless networks.
Proceedings of the 2014 Proceedings IEEE INFOCOM Workshops, Toronto, ON, Canada, April 27, 2014

Delay-rate-distortion optimized rate control for wireless video communication.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013
Global existence of solutions to a cross-diffusion predator-prey system with Holling type-II functional response.
Comput. Math. Appl., 2013

Delay-power-rate-distortion model for H.264 video coding.
Proceedings of the 2013 IEEE China Summit and International Conference on Signal and Information Processing, 2013

2012
Distributed Robust Optimization for Scalable Video Multirate Multicast Over Wireless Networks.
IEEE Trans. Circuits Syst. Video Technol., 2012

Global Existence of Classical Solutions to a Three-Species Predator-Prey Model with Two Prey-Taxes.
J. Appl. Math., 2012

2011
Lifetime and Distortion Optimization With Joint Source/Channel Rate Adaptation and Network Coding-Based Error Control in Wireless Video Sensor Networks.
IEEE Trans. Veh. Technol., 2011

Prioritized Flow Optimization With Multi-Path and Network Coding Based Routing for Scalable Multirate Multicasting.
IEEE Trans. Circuits Syst. Video Technol., 2011

Joint Coding/Routing Optimization for Distributed Video Sources in Wireless Visual Sensor Networks.
IEEE Trans. Circuits Syst. Video Technol., 2011

Joint Source and Flow Optimization for Scalable Video Multirate Multicast Over Hybrid Wired/Wireless Coded Networks.
IEEE Trans. Circuits Syst. Video Technol., 2011

2009
Joint Coding/Routing Optimization for Correlated Sources in Wireless Visual Sensor Networks.
Proceedings of the Global Communications Conference, 2009. GLOBECOM 2009, Honolulu, Hawaii, USA, 30 November, 2009


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