Publications
See the full list on Google Scholar.
* Equal contribution; † Corresponding author.
Preprints
2026
- MemTrace: Probing What Final Accuracy Misses in Long-Term Memory [paper]
Xianxuan Long, Zhikai Chen, Shenglai Zeng, Shouren Wang, Kai Guo, Jiliang Tang.
arXiv:2606.17328 - OpenRFM: Dissecting Relational In-Context Learning [paper]
Zhikai Chen, Junyu Yin, Jialiang Gu, Siheng Xiong, Xiaoze Liu, Ruowang Zhang, Keren Zhou, Kai Guo.
arXiv:2606.04320
2025
- GraphGhost: Tracing Structures Behind Large Language Models [paper]
Xinnan Dai, Xianxuan Long, Chung-Hsiang Lo, Kai Guo, Shenglai Zeng, Dongsheng Luo, Jiliang Tang.
arXiv:2510.08613
2024
- Retrieval-Augmented Generation with Graphs (GraphRAG) [paper]
Haoyu Han, Yu Wang, Harry Shomer, Kai Guo, Jiayuan Ding, Yongjia Lei, Mahantesh Halappanavar, Ryan A. Rossi, Subhabrata Mukherjee, Xianfeng Tang, Qi He, Zhigang Hua, Bo Long, Tong Zhao, Neil Shah, Amin Javari, Yinglong Xia, Jiliang Tang.
arXiv:2501.00309 - Learning on Graphs with Large Language Models (LLMs): A Deep Dive into Model Robustness [paper]
Kai Guo*, Zewen Liu*, Zhikai Chen, Hongzhi Wen, Wei Jin, Jiliang Tang, Yi Chang.
arXiv:2407.12068
2021
- CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks [paper]
Haotian Xue, Kaixiong Zhou, Tianlong Chen, Kai Guo, Xia Hu, Yi Chang, Xin Wang.
arXiv:2110.14855
Conference/Journal Papers
2026
- Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension [paper]
Shenglai Zeng, Qirui Wang, Kai Guo†, Xinnan Dai, Xianxuan Long, Hui Liu.
NeurIPS, 2026 - Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline [paper]
Zhikai Chen, Jialiang Gu, Junyu Yin, Xianxuan Long, Shenglai Zeng, Xiaoze Liu, Kai Guo, Keren Zhou, Jiliang Tang.
IJCNLP-AACL, 2026 (Main Conference) - Beyond Static Retrieval: Opportunities and Pitfalls of Iterative Retrieval in GraphRAG [paper]
Kai Guo, Xinnan Dai, Shenglai Zeng, Harry Shomer, Haoyu Han, Yu Wang, Jiliang Tang.
EMNLP, 2026 (Main Conference) - RAG vs. GraphRAG: A Systematic Evaluation and Key Insights [paper]
Haoyu Han, Li Ma, Yu Wang, Harry Shomer, Yongjia Lei, Zhisheng Qi, Kai Guo, Zhigang Hua, Bo Long, Hui Liu, Charu C. Aggarwal, Jiliang Tang.
KDD, 2026 (Datasets and Benchmarks Track) - Why Retrieval-Augmented Generation Fails: A Graph Perspective [paper]
Kai Guo, Xinnan Dai, Zhibo Zhang, Nuohan Lin, Shenglai Zeng, Jie Ren, Haoyu Han, Jiliang Tang.
KDD, 2026 - Fix Before Search: Benchmarking Agentic Visual Query Pre-processing in Multimodal Retrieval-augmented Generation [paper]
Shenglai Zeng*, Jiankun Zhang*, Kai Guo†, Xinnan Dai, Hui Liu, Jiliang Tang, Yi Chang†.
ICML, 2026 - When Do Hallucinations Arise? A Graph Perspective on the Evolution of Path Reuse and Path Compression [paper]
Xinnan Dai, Kai Yang, Cheng Luo, Shenglai Zeng, Kai Guo†, Jiliang Tang.
ICML, 2026 - Attn-GS: Attention-Guided Context Compression for Efficient Personalized LLMs [paper]
Shenglai Zeng, Tianqi Zheng, Chuan Tian, Dante Everaert, Yau-Shian Wang, Yupin Huang, Michael J. Morais, Rohit Patki, Jinjin Tian, Xinnan Dai, Kai Guo†, Monica Xiao Cheng, Hui Liu.
ACL, 2026 (Main Conference) - Reasoning by Exploration: A Unified Approach to Retrieval and Generation over Graphs [paper]
Haoyu Han, Kai Guo†, Harry Shomer, Yu Wang, Yucheng Chu, Hang Li, Li Ma†, Jiliang Tang.
WWW, 2026 - A bioinspired neuromorphic tactile system: Merging MXene nanosheet sensors and MXene quantum dots memristor [paper]
Xiangxiang Yang, Wei Li, Wenshan Qu, Lijuan Zhang, Meng Yuan, Junchuan Yang, Dongxue Li, Jiakuo Qiao, Zihan Guo, Jiawei Xie, Jinrong Zhang, Chao Yin, Kai Guo, Lin Bao, Zhixiang Gao, Lijuan Dong, Jinjin Zhao.
Nano Research, 19(6), 94908337, 2026
2025
- From Sequence to Structure: Uncovering Substructure Reasoning in Transformers [paper]
Xinnan Dai*, Kai Yang*, Jay Revolinsky, Kai Guo†, Aoran Wang, Bohang Zhang, Jiliang Tang.
NeurIPS, 2025 - Empowering GraphRAG with Knowledge Filtering and Integration [paper]
Kai Guo, Harry Shomer, Shenglai Zeng, Haoyu Han, Yu Wang, Jiliang Tang.
EMNLP, 2025 (Main Conference) - Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach [paper]
Shenglai Zeng, Pengfei He, Kai Guo†, Tianqi Zheng, Hanqing Lu, Yue Xing, Hui Liu.
ACL, 2025 (Main Conference) - Aligning Large Language Models and Geometric Deep Models for Protein Representation [paper]
Dong Shu, Bingbing Duan, Kai Guo, Kaixiong Zhou, Jiliang Tang, Mengnan Du.
Patterns, 6(5), 2025 - Uncovering Graph Reasoning in Decoder-only Transformers with Circuit Tracing [paper]
Xinnan Dai, Chung-Hsiang Lo, Kai Guo, Shenglai Zeng, Dongsheng Luo, Jiliang Tang.
NeurIPS Workshop on Efficient Reasoning, 2025 (Spotlight)
2024
- Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective [paper]
Kai Guo, Hongzhi Wen, Wei Jin, Yaming Guo, Jiliang Tang, Yi Chang.
KDD, 2024 - Breaking the Curse of Dimensional Collapse in Graph Contrastive Learning: A Whitening Perspective [paper]
Yang Tao, Kai Guo, Yizhen Zheng, Shirui Pan, Xiaofeng Cao, Yi Chang.
Information Sciences, 657, 119952, 2024
2023
- Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships [paper]
Yaming Guo*, Kai Guo*, Xiaofeng Cao†, Tieru Wu†, Yi Chang.
ICML, 2023 - Taming Over-Smoothing Representation on Heterophilic Graphs [paper]
Kai Guo, Xiaofeng Cao, Zhining Liu, Yi Chang.
Information Sciences, 647, 119463, 2023
2022
- Orthogonal Graph Neural Networks [paper]
Kai Guo, Kaixiong Zhou, Xia Hu, Yu Li, Yi Chang, Xin Wang.
AAAI, 2022 (Oral)