Tianjun Yao

According to our database, Tianjun Yao authored at least 16 papers between 2017 and 2026.

Collaborative distances:

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

2026

ParamMem: Augmenting Language Agents with Parametric Reflective Memory.

Tianjun Yao, Yongqiang Chen, Yujia Zheng, Pan Li, Zhiqiang Shen, Kun Zhang

CoRR, February, 2026

HieraMAS: Optimizing Intra-Node LLM Mixtures and Inter-Node Topology for Multi-Agent Systems.

Tianjun Yao, Zhaoyi Li, Zhiqiang Shen

CoRR, February, 2026

2025

Learning Efficient and Generalizable Graph Retriever for Knowledge-Graph Question Answering.

Tianjun Yao, Haoxuan Li, Zhiqiang Shen, Pan Li, Tongliang Liu, Kun Zhang

CoRR, June, 2025

Pruning Spurious Subgraphs for Graph Out-of-Distribtuion Generalization.

Tianjun Yao, Haoxuan Li, Yongqiang Chen, Tongliang Liu, Le Song, Eric P. Xing, Zhiqiang Shen

CoRR, June, 2025

Learning Graph Invariance by Harnessing Spuriosity.

Tianjun Yao, Yongqiang Chen, Kai Hu, Tongliang Liu, Kun Zhang, Zhiqiang Shen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

One Last Attention for Your Vision-Language Model.

Liang Chen, Ghazi Shazan Ahmad, Tianjun Yao, Lingqiao Liu, Zhiqiang Shen

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

2024

Improving the Expressiveness of <i>K</i>-hop Message-Passing GNNs by Injecting Contextualized Substructure Information.

Tianjun Yao, Yiongxu Wang, Kun Zhang, Shangsong Liang

CoRR, 2024

MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification.

Tianjun Yao, Jiaqi Sun, Defu Cao, Kun Zhang, Guangyi Chen

Proceedings of the ACM on Web Conference 2024, 2024

Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization.

Kai Hu, Weichen Yu, Yining Li, Tianjun Yao, Xiang Li, Wenhe Liu, Lijun Yu, Zhiqiang Shen, Kai Chen, Matt Fredrikson

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Empowering Graph Invariance Learning with Deep Spurious Infomax.

Tianjun Yao, Yongqiang Chen, Zhenhao Chen, Kai Hu, Zhiqiang Shen, Kun Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Invariant Features on Graphs by Disentangling Spurious Features.

Tianjun Yao, Yongqiang Shen, Zhiqiang Shen, Kun Zhang

Proceedings of the IEEE International Conference on Data Mining, 2024

2023

Improving the Expressiveness of K-hop Message-Passing GNNs by Injecting Contextualized Substructure Information.

Tianjun Yao, Yingxu Wang, Kun Zhang, Shangsong Liang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

BotSpot++: A Hierarchical Deep Ensemble Model for Bots Install Fraud Detection in Mobile Advertising.

Yadong Zhu, Xiliang Wang, Qing Li, Tianjun Yao, Shangsong Liang

ACM Trans. Inf. Syst., 2022

2020

BotSpot: A Hybrid Learning Framework to Uncover Bot Install Fraud in Mobile Advertising.

Tianjun Yao, Qing Li, Shangsong Liang, Yadong Zhu

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2018

Fiber-Optic Magnetic Field Sensing Based on Microfiber Knot Resonator with Magnetic Fluid Cladding.

Yuqi Li, Shengli Pu, Yongliang Zhao, Tianjun Yao

Sensors, 2018

2017

Ultrasensitive Magnetic Field Sensing Based on Refractive-Index-Matched Coupling.

Jie Rao, Shengli Pu, Tianjun Yao, Delong Su

Sensors, 2017