Wu-Jun Li

Orcid: 0000-0003-2499-4006

According to our database1, Wu-Jun Li authored at least 111 papers between 2004 and 2025.

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

Timeline

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Bibliography

2025
Clustered Reinforcement Learning.
Frontiers Comput. Sci., April, 2025

2024
Asymmetric Learning for Graph Neural Network based Link Prediction.
ACM Trans. Knowl. Discov. Data, June, 2024

Controllable Financial Market Generation with Diffusion Guided Meta Agent.
CoRR, 2024

Hashing based Contrastive Learning for Virtual Screening.
CoRR, 2024

Ordered Momentum for Asynchronous SGD.
CoRR, 2024

Buffered Asynchronous Secure Aggregation for Cross-Device Federated Learning.
CoRR, 2024

LCQ: Low-Rank Codebook based Quantization for Large Language Models.
CoRR, 2024

NumLLM: Numeric-Sensitive Large Language Model for Chinese Finance.
CoRR, 2024

SUETA: Speaker-specific utterance ensemble based transfer attack on speaker identification system.
Comput. Secur., 2024

Weighting Online Decision Transformer with Episodic Memory for Offline-to-Online Reinforcement Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

On the Effect of Batch Size in Byzantine-Robust Distributed Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

AdvTTS: Adversarial Text-to-Speech Synthesis Attack on Speaker Identification Systems.
Proceedings of the IEEE International Conference on Acoustics, 2024

InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
State-based episodic memory for multi-agent reinforcement learning.
Mach. Learn., December, 2023

Buffered Asynchronous SGD for Byzantine Learning.
J. Mach. Learn. Res., 2023

UniAP: Unifying Inter- and Intra-Layer Automatic Parallelism by Mixed Integer Quadratic Programming.
CoRR, 2023

On the Optimal Batch Size for Byzantine-Robust Distributed Learning.
CoRR, 2023

GNNFormer: A Graph-based Framework for Cytopathology Report Generation.
CoRR, 2023

FedREP: A Byzantine-Robust, Communication-Efficient and Privacy-Preserving Framework for Federated Learning.
CoRR, 2023

Loss Decoupling for Task-Agnostic Continual Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Fooling Speaker Identification Systems with Adversarial Background Music.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Context Sketching for Memory-efficient Graph Representation Learning.
Proceedings of the IEEE International Conference on Data Mining, 2023

Adaptive Plasticity Improvement for Continual Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Grey-box Adversarial Attack on Communication in Multi-agent Reinforcement Learning.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Optimizing Class Distribution in Memory for Multi-Label Online Continual Learning.
CoRR, 2022

VSM: A Versatile Semi-supervised Model for Multi-modal Cell Instance Segmentation.
Proceedings of The Cell Segmentation Challenge in Multi-modality High-Resolution Microscopy Images, 2022

Speaker-Specific Utterance Ensemble based Transfer Attack on Speaker Identification.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Cross Domain Robot Imitation with Invariant Representation.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Hardware Computation Graph for DNN Accelerator Design Automation without Inter-PU Templates.
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

2021
On the convergence and improvement of stochastic normalized gradient descent.
Sci. China Inf. Sci., 2021

Blocking-based Neighbor Sampling for Large-scale Graph Neural Networks.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

BASGD: Buffered Asynchronous SGD for Byzantine Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

Cam: Context-Aware Masking for Robust Speaker Verification.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Multiple Code Hashing for Efficient Image Retrieval.
CoRR, 2020

Stochastic Normalized Gradient Descent with Momentum for Large Batch Training.
CoRR, 2020

TOMA: Topological Map Abstraction for Reinforcement Learning.
CoRR, 2020

Stagewise Enlargement of Batch Size for SGD-based Learning.
CoRR, 2020

DMNet: Difference Minimization Network for Semi-supervised Segmentation in Medical Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Densely Connected Time Delay Neural Network for Speaker Verification.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval.
Proceedings of the Computer Vision - ECCV 2020, 2020

Hashing Based Answer Selection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Discrete Latent Factor Model for Cross-Modal Hashing.
IEEE Trans. Image Process., 2019

Robust Frequent Directions with Application in Online Learning.
J. Mach. Learn. Res., 2019

Weight Normalization based Quantization for Deep Neural Network Compression.
CoRR, 2019

ADASS: Adaptive Sample Selection for Training Acceleration.
CoRR, 2019

Clustered Reinforcement Learning.
CoRR, 2019

On the Convergence of Memory-Based Distributed SGD.
CoRR, 2019

Global Momentum Compression for Sparse Communication in Distributed SGD.
CoRR, 2019

Deep Multi-Index Hashing for Person Re-Identification.
CoRR, 2019

On the Evaluation Metric for Hashing.
CoRR, 2019

Gated Group Self-Attention for Answer Selection.
CoRR, 2019

Quantized Epoch-SGD for Communication-Efficient Distributed Learning.
CoRR, 2019

Deep Hashing for Speaker Identification and Retrieval.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

SVD: A Large-Scale Short Video Dataset for Near-Duplicate Video Retrieval.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Ensemble Additive Margin Softmax for Speaker Verification.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Deep Discrete Supervised Hashing.
IEEE Trans. Image Process., 2018

Proximal SCOPE for Distributed Sparse Learning: Better Data Partition Implies Faster Convergence Rate.
CoRR, 2018

Convolutional Geometric Matrix Completion.
CoRR, 2018

Feature-Distributed SVRG for High-Dimensional Linear Classification.
CoRR, 2018

Proximal SCOPE for Distributed Sparse Learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Asymmetric Deep Supervised Hashing.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
ParaGraphE: A Library for Parallel Knowledge Graph Embedding.
CoRR, 2017

Online Learning Via Regularized Frequent Directions.
CoRR, 2017

Semi-Supervised Deep Hashing with a Bipartite Graph.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Deep Cross-Modal Hashing.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Lock-Free Optimization for Non-Convex Problems.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

SCOPE: Scalable Composite Optimization for Learning on Spark.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Full-Time Supervision based Bidirectional RNN for Factoid Question Answering.
CoRR, 2016

Variance-Reduced Second-Order Methods.
CoRR, 2016

Feature Learning Based Deep Supervised Hashing with Pairwise Labels.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Fast Asynchronous Parallel Stochastic Gradient Descent: A Lock-Free Approach with Convergence Guarantee.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Column Sampling Based Discrete Supervised Hashing.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Relational Collaborative Topic Regression for Recommender Systems.
IEEE Trans. Knowl. Data Eng., 2015

Scalable Stochastic Alternating Direction Method of Multipliers.
CoRR, 2015

Fast Asynchronous Parallel Stochastic Gradient Decent.
CoRR, 2015

A New Relaxation Approach to Normalized Hypergraph Cut.
CoRR, 2015

S-PowerGraph: Streaming Graph Partitioning for Natural Graphs by Vertex-Cut.
CoRR, 2015

On the Global Convergence of Majorization Minimization Algorithms for Nonconvex Optimization Problems.
CoRR, 2015

A Parallel algorithm for $\mathcal{X}$-Armed bandits.
CoRR, 2015

Scalable Graph Hashing with Feature Transformation.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Support Matrix Machines.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2014
Multicategory large margin classification methods: Hinge losses vs. coherence functions.
Artif. Intell., 2014

Supervised hashing with latent factor models.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Distributed Power-law Graph Computing: Theoretical and Empirical Analysis.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Coupled Group Lasso for Web-Scale CTR Prediction in Display Advertising.
Proceedings of the 31th International Conference on Machine Learning, 2014

Distributed Stochastic ADMM for Matrix Factorization.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Large-Scale Supervised Multimodal Hashing with Semantic Correlation Maximization.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Online Egocentric Models for Citation Networks.
Proceedings of the IJCAI 2013, 2013

Collaborative Topic Regression with Social Regularization for Tag Recommendation.
Proceedings of the IJCAI 2013, 2013

Robust crowdsourced learning.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012
Manhattan hashing for large-scale image retrieval.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

Isotropic Hashing.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Emoticon Smoothed Language Models for Twitter Sentiment Analysis.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

Sparse Probabilistic Relational Projection.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

Double-Bit Quantization for Hashing.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Generalized Latent Factor Models for Social Network Analysis.
Proceedings of the IJCAI 2011, 2011

Social Relations Model for Collaborative Filtering.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
MILD: Multiple-Instance Learning via Disambiguation.
IEEE Trans. Knowl. Data Eng., 2010

Gaussian Process Latent Random Field.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Coherence Functions for Multicategory Margin-based Classification Methods.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Latent Wishart Processes for Relational Kernel Learning.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

TagiCoFi: tag informed collaborative filtering.
Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

Probabilistic Relational PCA.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Relation Regularized Matrix Factorization.
Proceedings of the IJCAI 2009, 2009

Localized content-based image retrieval through evidence region identification.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2006
Joint Boosting Feature Selection for Robust Face Recognition.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
A Study on Illumination Invariant Face Recognition Methods Based on Multiple Eigenspaces.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Image Segmentation Using Spectral Clustering.
Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2005), 2005

A Multiple Eigenspaces Constructing Method and Its Application to Face Recognition.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

2004
Image Texture Representation and Retrieval Based on Power Spectral Histograms.
Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 2004

Illumination Invariant Face Recognition Based on Neural Network Ensemble.
Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 2004


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