Sixiao Zhang

According to our database, Sixiao Zhang authored at least 20 papers between 2021 and 2026.

Collaborative distances:

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

2026

Generative Conversational Recommender System.

Sixiao Zhang, Mingrui Liu, Cheng Long

CoRR, May, 2026

RedVisor: Reasoning-Aware Prompt Injection Defense via Zero-Copy KV Cache Reuse.

Mingrui Liu, Sixiao Zhang, Cheng Long, Kwok-Yan Lam

CoRR, February, 2026

Facet-Aware Multi-Head Mixture-of-Experts Model with Text-Enhanced Pre-training for Sequential Recommendation.

Mingrui Liu, Sixiao Zhang, Cheng Long

CoRR, January, 2026

Wukong Framework for Not Safe For Work Detection in Text-to-Image Systems.

Mingrui Liu, Sixiao Zhang, Cheng Long

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

The Trojan Example: Jailbreaking LLMs through Template Filling and Unsafety Reasoning.

Mingrui Liu, Sixiao Zhang, Cheng Long, Kwok-Yan Lam

CoRR, October, 2025

On Mitigating Data Sparsity in Conversational Recommender Systems.

Sixiao Zhang, Mingrui Liu, Cheng Long, Wei Yuan, Hongxu Chen, Xiangyu Zhao, Hongzhi Yin

CoRR, July, 2025

Mask-based Membership Inference Attacks for Retrieval-Augmented Generation.

Mingrui Liu, Sixiao Zhang, Cheng Long

Proceedings of the ACM on Web Conference 2025, 2025

Facet-Aware Multi-Head Mixture-of-Experts Model for Sequential Recommendation.

Mingrui Liu, Sixiao Zhang, Cheng Long

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Data Watermarking for Sequential Recommender Systems.

Sixiao Zhang, Cheng Long, Wei Yuan, Hongxu Chen, Hongzhi Yin

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

2024

Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation.

Yicong Li, Xiangguo Sun, Hongxu Chen, Sixiao Zhang, Yu Yang, Guandong Xu

IEEE Trans. Knowl. Data Eng., September, 2024

Defense Against Model Extraction Attacks on Recommender Systems.

Sixiao Zhang, Hongzhi Yin, Hongxu Chen, Cheng Long

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Watermarking Recommender Systems.

Sixiao Zhang, Cheng Long, Wei Yuan, Hongxu Chen, Hongzhi Yin

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning.

Haoran Yang, Hongxu Chen, Sixiao Zhang, Xiangguo Sun, Qian Li, Xiangyu Zhao, Guandong Xu

Proceedings of the ACM Web Conference 2023, 2023

2022

Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning.

Haoran Yang, Hongxu Chen, Sixiao Zhang, Xiangguo Sun, Qian Li, Guandong Xu

CoRR, 2022

Graph Masked Autoencoder.

Hongxu Chen, Sixiao Zhang, Guandong Xu

CoRR, 2022

Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation.

Sixiao Zhang, Hongxu Chen, Xiangguo Sun, Yicong Li, Guandong Xu

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Geometric Inductive Matrix Completion: A Hyperbolic Approach with Unified Message Passing.

Chengkun Zhang, Hongxu Chen, Sixiao Zhang, Guandong Xu, Junbin Gao

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Can Language Models Serve as Temporal Knowledge Bases?

Ruilin Zhao, Feng Zhao, Guandong Xu, Sixiao Zhang, Hai Jin

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems.

Sixiao Zhang, Hongxu Chen, Xiao Ming, Lizhen Cui, Hongzhi Yin, Guandong Xu

CoRR, 2021

Where are we in embedding spaces?

Sixiao Zhang, Hongxu Chen, Xiao Ming, Lizhen Cui, Hongzhi Yin, Guandong Xu

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021