Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models. - Fan Liu 011; Hao Liu 026; Wenzhao Jiang (NeurIPS, 2022)

Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training. - Fan Liu 011; Weijia Zhang 003; Hao Liu 026 (KDD, 2023)

Adversarial Tuning: Defending Against Jailbreak Attacks for LLMs. - Fan Liu 011; Zhao Xu 006; Hao Liu 026 (CoRR, 2024)

Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs. - Zhao Xu 006; Fan Liu 011; Hao Liu 026 (CoRR, 2024)

Spatial-Temporal Mixture-of-Graph-Experts for Multi-Type Crime Prediction. - Ziyang Wu; Fan Liu 011; Jindong Han; Yuxuan Liang; Hao Liu 026 (CoRR, 2024)

JAILJUDGE: A Comprehensive Jailbreak Judge Benchmark with Multi-Agent Enhanced Explanation Evaluation Framework. - Fan Liu 011; Yue Feng 002; Zhao Xu 006; Lixin Su; Xinyu Ma 001; Dawei Yin 001; Hao Liu 026 (CoRR, 2024)

TP-RAG: Benchmarking Retrieval-Augmented Large Language Model Agents for Spatiotemporal-Aware Travel Planning. - Hang Ni; Fan Liu 011; Xinyu Ma 001; Lixin Su; Shuaiqiang Wang; Dawei Yin 001; Hui Xiong 001; Hao Liu 026 (EMNLP, 2025)

Bag of Tricks for Inference-time Computation of LLM Reasoning. - Fan Liu 011; Wen-Shuo Chao; Naiqiang Tan; Hao Liu 026 (NeurIPS, 2025)

Bkd-FedGNN: A Benchmark for Classification Backdoor Attacks on Federated Graph Neural Network. - Fan Liu 011; Siqi Lai; Yansong Ning; Hao Liu 026 (ECML/PKDD (2), 2025)

Subgraph Federated Unlearning. - Fan Liu 011; Hao Liu 026 (WWW, 2025)

Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications. - Jindong Han; Yansong Ning; Zirui Yuan; Hang Ni; Fan Liu 011; Tengfei Lyu; Hao Liu 026 (CoRR, 2025)

Foundation Models for Scientific Discovery: From Paradigm Enhancement to Paradigm Transition. - Fan Liu 011; Jindong Han; Tengfei Lyu; Weijia Zhang 003; Zhe-Rui Yang; Lu Dai 001; Cancheng Liu; Hao Liu 026 (CoRR, 2025)