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Author

Tianjun Yao

Observed name: Yao, Tianjun
ORCID: 0009-0006-0553-2809
Observed ORCID: 0009-0006-0553-2809
OpenAlex ID: A5037888954
Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization
2024 · Kai Hu, Weichen Yu, et al. · neural information processing systems · 22
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MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification
2024 · Tianjun Yao, Jiaqi Sun, et al. · International World Wide Web Conference (WWW) · 14
Improving the Expressiveness of K-hop Message-Passing GNNs by Injecting Contextualized Substructure Information
2023 · Tianjun Yao, Yingxu Wang, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 14
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Empowering Graph Invariance Learning with Deep Spurious Infomax
2024 · Yao, Tianjun, Chen, Yongqiang, et al. · arXiv (Cornell University) · 9
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Learning Efficient and Generalizable Graph Retriever for Knowledge-Graph Question Answering
2025 · Yao, Tianjun, Li, Haoxuan, et al. · arXiv (Cornell University) · 8
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ParamMem: Augmenting Language Agents with Parametric Reflective Memory
2026 · Yao, Tianjun, Chen, Yongqiang, et al. · arXiv (Cornell University) · 7
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HieraMAS: Optimizing Intra-Node LLM Mixtures and Inter-Node Topology for Multi-Agent Systems
2026 · Yao, Tianjun, Li, Zhaoyi, et al. · arXiv (Cornell University) · 4
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Pruning Spurious Subgraphs for Graph Out-of-Distribution Generalization
2025 · Tianjun Yao, Haoxuan Li, et al. · neural information processing systems · 4
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Operation-Guided Progressive Human-to-AI Text Transformation Benchmark for Multi-Granularity AI-Text Detection
2026 · Bsharat, Sondos Mahmoud, Liu, Jiacheng, et al. · arXiv (Cornell University) · 1
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One Last Attention for Your Vision-Language Model
2025 · Liang Chen, Ghazi Shazan Ahmad, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 1
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Implicit Feature Reweighting for Label-Free Graph Generalization
2026 · Yao, Tianjun, Xi, Chen, et al. · arXiv (Cornell University)
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Beyond Experience: Knowledge-Guided Evolution for NPU Kernel Generation
2026 · Chen, Xi, Shen, Ming, et al. · arXiv (Cornell University)
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CoMem: Learning to Anticipate Failures from Retrieved Experience
2026 · Shen, Yun, Shen, Ming, et al. · arXiv (Cornell University)
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Not All Test-Time Compute Is Evidence: Model-Specific Bias in LLM Reasoning
2026 · Shen, Ming, Yao, Tianjun · arXiv (Cornell University)
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Response-Informed Value Estimation for Cost-Aware Multi-Turn LLM Routing
2026 · Yan, Haotian, Liu, Jiaqi, et al. · arXiv (Cornell University)
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Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs
2026 · Tang, Yi, Shang, Xinyi, et al. · arXiv (Cornell University)
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Learning Expressive, Explainable and Generalizable Representations for Graph-structured Data
2026 · Yao, Tianjun
Learning Invariant Features on Graphs by Disentangling Spurious Features
2024 · Tianjun Yao, Yongqiang Shen, et al. · IEEE ... International Conference on Data Mining workshops
Works count: 18
Citation count: 84
H-index: 6
I10-index: 3
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