Tianjun Yao

19 papers A* 5A 1Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
HieraMAS: Optimizing Intra-Node LLM Mixtures and Inter-Node Topology for Multi-Agent Systems.
CoRR
Tianjun Yao, Zhaoyi Li, Zhiqiang Shen
2026 J jnl
ParamMem: Augmenting Language Agents with Parametric Reflective Memory.
CoRR
Tianjun Yao, Yongqiang Chen, Yujia Zheng, Pan Li, Zhiqiang Shen, Kun Zhang
2025 J jnl
Learning Efficient and Generalizable Graph Retriever for Knowledge-Graph Question Answering.
CoRR
Tianjun Yao, Haoxuan Li, Zhiqiang Shen, Pan Li, Tongliang Liu, Kun Zhang
2025 A* conf
Learning Graph Invariance by Harnessing Spuriosity.
ICLR
Tianjun Yao, Yongqiang Chen, Kai Hu, Tongliang Liu, Kun Zhang, Zhiqiang Shen
2025 J jnl
One Last Attention for Your Vision-Language Model.
CoRR
Liang Chen, Ghazi Shazan Ahmad, Tianjun Yao, Lingqiao Liu, Zhiqiang Shen
2025 J jnl
Pruning Spurious Subgraphs for Graph Out-of-Distribtuion Generalization.
CoRR
Tianjun Yao, Haoxuan Li, Yongqiang Chen, Tongliang Liu, Le Song, Eric P. Xing, Zhiqiang Shen
2024 A* conf
Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization.
NeurIPS
Kai Hu, Weichen Yu, Yining Li, Tianjun Yao, Xiang Li, Wenhe Liu, Lijun Yu, Zhiqiang Shen, Kai Chen, Matt Fredrikson
2024 J jnl
Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization.
CoRR
Kai Hu, Weichen Yu, Tianjun Yao, Xiang Li, Wenhe Liu, Lijun Yu, Yining Li, Kai Chen, Zhiqiang Shen, Matt Fredrikson
2024 A* conf
Empowering Graph Invariance Learning with Deep Spurious Infomax.
ICML
Tianjun Yao, Yongqiang Chen, Zhenhao Chen, Kai Hu, Zhiqiang Shen, Kun Zhang
2024 J jnl
Empowering Graph Invariance Learning with Deep Spurious Infomax.
CoRR
Tianjun Yao, Yongqiang Chen, Zhenhao Chen, Kai Hu, Zhiqiang Shen, Kun Zhang
2024 J jnl
Improving the Expressiveness of
CoRR
Tianjun Yao, Yiongxu Wang, Kun Zhang, Shangsong Liang
2024 — conf
Learning Invariant Features on Graphs by Disentangling Spurious Features.
ICDM (Workshops)
Tianjun Yao, Yongqiang Shen, Zhiqiang Shen, Kun Zhang
2024 A* conf
MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification.
WWW
Tianjun Yao, Jiaqi Sun, Defu Cao, Kun Zhang, Guangyi Chen
2024 J jnl
MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification.
CoRR
Tianjun Yao, Jiaqi Sun, Defu Cao, Kun Zhang, Guangyi Chen
2023 A* conf
Improving the Expressiveness of K-hop Message-Passing GNNs by Injecting Contextualized Substructure Information.
KDD
Tianjun Yao, Yingxu Wang, Kun Zhang, Shangsong Liang
2022 J jnl
BotSpot++: A Hierarchical Deep Ensemble Model for Bots Install Fraud Detection in Mobile Advertising.
ACM Trans. Inf. Syst.
Yadong Zhu, Xiliang Wang, Qing Li, Tianjun Yao, Shangsong Liang
2020 A conf
BotSpot: A Hybrid Learning Framework to Uncover Bot Install Fraud in Mobile Advertising.
CIKM
Tianjun Yao, Qing Li, Shangsong Liang, Yadong Zhu
2018 J jnl
Fiber-Optic Magnetic Field Sensing Based on Microfiber Knot Resonator with Magnetic Fluid Cladding.
Sensors
Yuqi Li, Shengli Pu, Yongliang Zhao, Tianjun Yao
2017 J jnl
Ultrasensitive Magnetic Field Sensing Based on Refractive-Index-Matched Coupling.
Sensors
Jie Rao, Shengli Pu, Tianjun Yao, Delong Su