Tan Zhu

According to our database, Tan Zhu authored at least 13 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A novel graph kernel algorithm for improving the effect of text classification.

Fan Yang, Tan Zhu, Jing Huang, Zhilin Huang, Guoqi Xie

Comput. Speech Lang., 2026

2025

LOCAL: Latent Orthonormal Contrastive Learning for Paired Image Classification.

Fei Dou, Jin Lu, Tan Zhu, Jinbo Bi

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

Learning from LLM Agents: In-Context Generative Models for Text Casing in E-Commerce Ads.

Yingxue Zhou, Tan Zhu, Tao Zeng, Zigeng Wang, Wei Shen

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

On-Device Indoor Positioning: A Federated Reinforcement Learning Approach With Heterogeneous Devices.

Fei Dou, Jin Lu, Tan Zhu, Jinbo Bi

IEEE Internet Things J., February, 2024

2023

Polyhedron Attention Module: Learning Adaptive-order Interactions.

Tan Zhu, Fei Dou, Xinyu Wang, Jin Lu, Jinbo Bi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Federated Optimization of ℓ0-norm Regularized Sparse Learning.

Qianqian Tong, Guannan Liang, Jiahao Ding, Tan Zhu, Miao Pan, Jinbo Bi

Algorithms, 2022

2021

Federated Nonconvex Sparse Learning.

Qianqian Tong, Guannan Liang, Tan Zhu, Jinbo Bi

CoRR, 2021

An Efficient Algorithm for Deep Stochastic Contextual Bandits.

Tan Zhu, Guannan Liang, Chunjiang Zhu, Haining Li, Jinbo Bi

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

Accelerating Large-Scale Molecular Similarity Search through Exploiting High Performance Computing.

Chun Jiang Zhu, Tan Zhu, Haining Li, Jinbo Bi, Minghu Song

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Communication-Optimal Distributed Dynamic Graph Clustering.

Chun Jiang Zhu, Tan Zhu, Kam-yiu Lam, Song Han, Jinbo Bi

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Belief-State Monte Carlo Tree Search for Phantom Go.

Jiao Wang, Tan Zhu, Hongye Li, Chu-Hsuan Hsueh, I-Chen Wu

IEEE Trans. Games, 2018

2017

Only-One-Victor Pattern Learning in Computer Go.

Jiao Wang, Chenjun Xiao, Tan Zhu, Chu-Hsuan Hsueh, Wen-Jie Tseng, I-Chen Wu

IEEE Trans. Comput. Intell. AI Games, 2017

2015

Belief-state Monte-Carlo tree search for Phantom games.

Jiao Wang, Tan Zhu, Hongye Li, Chu-Hsuan Hsueh, I-Chen Wu

Proceedings of the 2015 IEEE Conference on Computational Intelligence and Games, 2015