Wu-Jun Li

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 82

Top Venues

Publications

Yan-Shuo Liang, Wu-Jun Li
InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning. CoRR (2024)
Huan-Yi Su, Ke Wu, Yu-Hao Huang, Wu-Jun Li
NumLLM: Numeric-Sensitive Large Language Model for Chinese Finance. CoRR (2024)
Chang-Wei Shi, Yi-Rui Yang, Wu-Jun Li
Ordered Momentum for Asynchronous SGD. CoRR (2024)
Jin Han, Yun Hong, Wu-Jun Li
Hashing based Contrastive Learning for Virtual Screening. CoRR (2024)
Chu-Xiao Zuo, Jia-Yi Leng, Wu-Jun Li
SUETA: Speaker-specific utterance ensemble based transfer attack on speaker identification system. Comput. Secur. 144 (2024)
Kai-Lang Yao, Wu-Jun Li
Asymmetric Learning for Graph Neural Network based Link Prediction. ACM Trans. Knowl. Discov. Data 18 (5) (2024)
Xiao Ma, Wu-Jun Li
Weighting Online Decision Transformer with Episodic Memory for Offline-to-Online Reinforcement Learning. ICRA (2024)
Yi-Rui Yang, Chang-Wei Shi, Wu-Jun Li
On the Effect of Batch Size in Byzantine-Robust Distributed Learning. ICLR (2024)
Chu-Xiao Zuo, Zhi-Jun Jia, Wu-Jun Li
AdvTTS: Adversarial Text-to-Speech Synthesis Attack on Speaker Identification Systems. ICASSP (2024)
Wen-Pu Cai, Wu-Jun Li
LCQ: Low-Rank Codebook based Quantization for Large Language Models. CoRR (2024)
Kun Wang, Yi-Rui Yang, Wu-Jun Li
Buffered Asynchronous Secure Aggregation for Cross-Device Federated Learning. CoRR (2024)
Yi-Rui Yang, Chang-Wei Shi, Wu-Jun Li
On the Optimal Batch Size for Byzantine-Robust Distributed Learning. CoRR (2023)
Xiao Ma, Wu-Jun Li
State-based episodic memory for multi-agent reinforcement learning. Mach. Learn. 112 (12) (2023)
Yi-Rui Yang, Kun Wang, Wu-Jun Li
FedREP: A Byzantine-Robust, Communication-Efficient and Privacy-Preserving Framework for Federated Learning. CoRR (2023)
Xiao Ma, Wu-Jun Li
Grey-box Adversarial Attack on Communication in Multi-agent Reinforcement Learning. AAMAS (2023)
Kai-Lang Yao, Wu-Jun Li
Asymmetric Learning for Graph Neural Network based Link Prediction. CoRR (2023)
Yan-Shuo Liang, Wu-Jun Li
Adaptive Plasticity Improvement for Continual Learning. CVPR (2023)
Hao Lin, Ke Wu, Jun Li, Wu-Jun Li
UniAP: Unifying Inter- and Intra-Layer Automatic Parallelism by Mixed Integer Quadratic Programming. CoRR (2023)
Yan-Shuo Liang, Wu-Jun Li
Loss Decoupling for Task-Agnostic Continual Learning. NeurIPS (2023)
Kai-Lang Yao, Wu-Jun Li
Context Sketching for Memory-efficient Graph Representation Learning. ICDM (2023)
Yang-Fan Zhou, Kai-Lang Yao, Wu-Jun Li
GNNFormer: A Graph-based Framework for Cytopathology Report Generation. CoRR (2023)
Yi-Rui Yang, Wu-Jun Li
Buffered Asynchronous SGD for Byzantine Learning. J. Mach. Learn. Res. 24 (2023)
Chu-Xiao Zuo, Jia-Yi Leng, Wu-Jun Li
Fooling Speaker Identification Systems with Adversarial Background Music. INTERSPEECH (2023)
Jun Li, Wei Wang, Wu-Jun Li
Hardware Computation Graph for DNN Accelerator Design Automation without Inter-PU Templates. ICCAD (2022)
Chu-Xiao Zuo, Jia-Yi Leng, Wu-Jun Li
Speaker-Specific Utterance Ensemble based Transfer Attack on Speaker Identification. INTERSPEECH (2022)
Zhao-Heng Yin, Lingfeng Sun, Hengbo Ma, Masayoshi Tomizuka, Wu-Jun Li
Cross Domain Robot Imitation with Invariant Representation. ICRA (2022)
Yan-Shuo Liang, Wu-Jun Li
Optimizing Class Distribution in Memory for Multi-Label Online Continual Learning. CoRR (2022)
Xiaochen Cai, Hengxing Cai, Kele Xu, Wei-Wei Tu, Wu-Jun Li
VSM: A Versatile Semi-supervised Model for Multi-modal Cell Instance Segmentation. Cell Segmentation Challenge @ NeurIPS (2022)
Zhao-Heng Yin, Lingfeng Sun, Hengbo Ma, Masayoshi Tomizuka, Wu-Jun Li
Cross Domain Robot Imitation with Invariant Representation. CoRR (2021)
Yi-Rui Yang, Wu-Jun Li
BASGD: Buffered Asynchronous SGD for Byzantine Learning. ICML (2021)
Xiao Ma, Wu-Jun Li
State-based Episodic Memory for Multi-Agent Reinforcement Learning. CoRR (2021)
Kai-Lang Yao, Wu-Jun Li
Blocking-based Neighbor Sampling for Large-scale Graph Neural Networks. IJCAI (2021)
Ya-Qi Yu, Siqi Zheng, Hongbin Suo, Yun Lei, Wu-Jun Li
Cam: Context-Aware Masking for Robust Speaker Verification. ICASSP (2021)
Shen-Yi Zhao, Yin-Peng Xie, Wu-Jun Li
On the convergence and improvement of stochastic normalized gradient descent. Sci. China Inf. Sci. 64 (3) (2021)
Kang Fang, Wu-Jun Li
DMNet: Difference Minimization Network for Semi-supervised Segmentation in Medical Images. MICCAI (1) (2020)
Shen-Yi Zhao, Yin-Peng Xie, Wu-Jun Li
Stochastic Normalized Gradient Descent with Momentum for Large Batch Training. CoRR (2020)
Ya-Qi Yu, Wu-Jun Li
Densely Connected Time Delay Neural Network for Speaker Verification. INTERSPEECH (2020)
Ming-Wei Li, Qing-Yuan Jiang, Wu-Jun Li
Multiple Code Hashing for Efficient Image Retrieval. CoRR (2020)
Quan Cui, Qing-Yuan Jiang, Xiu-Shen Wei, Wu-Jun Li, Osamu Yoshie
ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval. ECCV (3) (2020)
Quan Cui, Qing-Yuan Jiang, Xiu-Shen Wei, Wu-Jun Li, Osamu Yoshie
ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval. CoRR (2020)
Dong Xu, Wu-Jun Li
Hashing Based Answer Selection. AAAI (2020)
Zhao-Heng Yin, Wu-Jun Li
TOMA: Topological Map Abstraction for Reinforcement Learning. CoRR (2020)
Yi-Rui Yang, Wu-Jun Li
BASGD: Buffered Asynchronous SGD for Byzantine Learning. CoRR (2020)
Shen-Yi Zhao, Yin-Peng Xie, Wu-Jun Li
Stagewise Enlargement of Batch Size for SGD-based Learning. CoRR (2020)
Shen-Yi Zhao, Yin-Peng Xie, Hao Gao, Wu-Jun Li
Global Momentum Compression for Sparse Communication in Distributed SGD. CoRR (2019)
Dong Xu, Jianhui Ji, Haikuan Huang, Hongbo Deng, Wu-Jun Li
Gated Group Self-Attention for Answer Selection. CoRR (2019)
Shen-Yi Zhao, Hao Gao, Wu-Jun Li
On the Convergence of Memory-Based Distributed SGD. CoRR (2019)
Qing-Yuan Jiang, Yi He, Gen Li, Jian Lin, Lei Li, Wu-Jun Li
SVD: A Large-Scale Short Video Dataset for Near-Duplicate Video Retrieval. ICCV (2019)
Shen-Yi Zhao, Hao Gao, Wu-Jun Li
ADASS: Adaptive Sample Selection for Training Acceleration. CoRR (2019)
Dong Xu, Wu-Jun Li
Hashing based Answer Selection. CoRR (2019)
Ya-Qi Yu, Lei Fan, Wu-Jun Li
Ensemble Additive Margin Softmax for Speaker Verification. ICASSP (2019)
Luo Luo, Cheng Chen, Zhihua Zhang, Wu-Jun Li, Tong Zhang
Robust Frequent Directions with Application in Online Learning. J. Mach. Learn. Res. 20 (2019)
Qing-Yuan Jiang, Wu-Jun Li
Discrete Latent Factor Model for Cross-Modal Hashing. IEEE Trans. Image Process. 28 (7) (2019)
Xiao Ma, Shen-Yi Zhao, Wu-Jun Li
Clustered Reinforcement Learning. CoRR (2019)
Shen-Yi Zhao, Hao Gao, Wu-Jun Li
Quantized Epoch-SGD for Communication-Efficient Distributed Learning. CoRR (2019)
Wen-Pu Cai, Wu-Jun Li
Weight Normalization based Quantization for Deep Neural Network Compression. CoRR (2019)
Ming-Wei Li, Qing-Yuan Jiang, Wu-Jun Li
Deep Multi-Index Hashing for Person Re-Identification. CoRR (2019)
Qing-Yuan Jiang, Ming-Wei Li, Wu-Jun Li
On the Evaluation Metric for Hashing. CoRR (2019)
Lei Fan, Qing-Yuan Jiang, Ya-Qi Yu, Wu-Jun Li
Deep Hashing for Speaker Identification and Retrieval. INTERSPEECH (2019)
Gong-Duo Zhang, Shen-Yi Zhao, Hao Gao, Wu-Jun Li
Feature-Distributed SVRG for High-Dimensional Linear Classification. CoRR (2018)
Shen-Yi Zhao, Gong-Duo Zhang, Ming-Wei Li, Wu-Jun Li
Proximal SCOPE for Distributed Sparse Learning: Better Data Partition Implies Faster Convergence Rate. CoRR (2018)
Qing-Yuan Jiang, Wu-Jun Li
Asymmetric Deep Supervised Hashing. AAAI (2018)
Kai-Lang Yao, Wu-Jun Li
Convolutional Geometric Matrix Completion. CoRR (2018)
Shen-Yi Zhao, Gong-Duo Zhang, Ming-Wei Li, Wu-Jun Li
Proximal SCOPE for Distributed Sparse Learning. NeurIPS (2018)
Qing-Yuan Jiang, Xue Cui, Wu-Jun Li
Deep Discrete Supervised Hashing. IEEE Trans. Image Process. 27 (12) (2018)
Xinyu Yan, Lijun Zhang, Wu-Jun Li
Semi-Supervised Deep Hashing with a Bipartite Graph. IJCAI (2017)
Qing-Yuan Jiang, Wu-Jun Li
Deep Cross-Modal Hashing. CVPR (2017)
Qing-Yuan Jiang, Xue Cui, Wu-Jun Li
Deep Discrete Supervised Hashing. CoRR (2017)
Shen-Yi Zhao, Ru Xiang, Ying-Hao Shi, Peng Gao, Wu-Jun Li
SCOPE: Scalable Composite Optimization for Learning on Spark. AAAI (2017)
Xiao-Fan Niu, Wu-Jun Li
ParaGraphE: A Library for Parallel Knowledge Graph Embedding. CoRR (2017)
Shen-Yi Zhao, Gong-Duo Zhang, Wu-Jun Li
Lock-Free Optimization for Non-Convex Problems. AAAI (2017)
Luo Luo, Cheng Chen, Zhihua Zhang, Wu-Jun Li
Online Learning Via Regularized Frequent Directions. CoRR (2017)
Qing-Yuan Jiang, Wu-Jun Li
Discrete Latent Factor Model for Cross-Modal Hashing. CoRR (2017)
Qing-Yuan Jiang, Wu-Jun Li
Asymmetric Deep Supervised Hashing. CoRR (2017)
Luo Luo, Zihao Chen, Zhihua Zhang, Wu-Jun Li
Variance-Reduced Second-Order Methods. CoRR (2016)
Shen-Yi Zhao, Wu-Jun Li
Fast Asynchronous Parallel Stochastic Gradient Descent: A Lock-Free Approach with Convergence Guarantee. AAAI (2016)
Wang-Cheng Kang, Wu-Jun Li, Zhi-Hua Zhou
Column Sampling Based Discrete Supervised Hashing. AAAI (2016)
Dong Xu, Wu-Jun Li
Full-Time Supervision based Bidirectional RNN for Factoid Question Answering. CoRR (2016)
Shen-Yi Zhao, Gong-Duo Zhang, Wu-Jun Li
Lock-Free Optimization for Non-Convex Problems. CoRR (2016)
Wu-Jun Li, Sheng Wang, Wang-Cheng Kang
Feature Learning Based Deep Supervised Hashing with Pairwise Labels. IJCAI (2016)
Qing-Yuan Jiang, Wu-Jun Li
Deep Cross-Modal Hashing. CoRR (2016)
Shen-Yi Zhao, Ru Xiang, Ying-Hao Shi, Peng Gao, Wu-Jun Li
SCOPE: Scalable Composite Optimization for Learning on Spark. CoRR (2016)
Shen-Yi Zhao, Wu-Jun Li, Zhi-Hua Zhou
Scalable Stochastic Alternating Direction Method of Multipliers. CoRR (2015)
Yangyang Kang, Zhihua Zhang, Wu-Jun Li
On the Global Convergence of Majorization Minimization Algorithms for Nonconvex Optimization Problems. CoRR (2015)
Shen-Yi Zhao, Wu-Jun Li
Fast Asynchronous Parallel Stochastic Gradient Decent. CoRR (2015)
Wu-Jun Li, Sheng Wang, Wang-Cheng Kang
Feature Learning based Deep Supervised Hashing with Pairwise Labels. CoRR (2015)
Luo Luo, Yubo Xie, Zhihua Zhang, Wu-Jun Li
Support Matrix Machines. ICML (2015)
Hao Wang, Wu-Jun Li
Relational Collaborative Topic Regression for Recommender Systems. IEEE Trans. Knowl. Data Eng. 27 (5) (2015)
Cong Xie, Wu-Jun Li, Zhihua Zhang
A New Relaxation Approach to Normalized Hypergraph Cut. CoRR (2015)
Qing-Yuan Jiang, Wu-Jun Li
Scalable Graph Hashing with Feature Transformation. IJCAI (2015)
Cong Xie, Wu-Jun Li, Zhihua Zhang
S-PowerGraph: Streaming Graph Partitioning for Natural Graphs by Vertex-Cut. CoRR (2015)
Cheng Chen, Shuang Liu, Zhihua Zhang, Wu-Jun Li
A Parallel algorithm for $\mathcal{X}$-Armed bandits. CoRR (2015)
Zhihua Zhang, Cheng Chen, Guang Dai, Wu-Jun Li, Dit-Yan Yeung
Multicategory large margin classification methods: Hinge losses vs. coherence functions. Artif. Intell. 215 (2014)
Dongqing Zhang, Wu-Jun Li
Large-Scale Supervised Multimodal Hashing with Semantic Correlation Maximization. AAAI (2014)
Zhi-Qin Yu, Xing-Jian Shi, Ling Yan, Wu-Jun Li
Distributed Stochastic ADMM for Matrix Factorization. CIKM (2014)
Ling Yan, Wu-Jun Li, Gui-Rong Xue, Dingyi Han
Coupled Group Lasso for Web-Scale CTR Prediction in Display Advertising. ICML (2014)
Peichao Zhang, Wei Zhang, Wu-Jun Li, Minyi Guo
Supervised hashing with latent factor models. SIGIR (2014)
Cong Xie, Ling Yan, Wu-Jun Li, Zhihua Zhang
Distributed Power-law Graph Computing: Theoretical and Empirical Analysis. NIPS (2014)
Zhiquan Liu, Luo Luo, Wu-Jun Li
Robust crowdsourced learning. IEEE BigData (2013)
Hao Wang, Wu-Jun Li
Online Egocentric Models for Citation Networks. IJCAI (2013)

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Publication Activity (10 Years)

Top Topics

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Wu-Jun Li