LAGCL: Towards Stable and Automated Graph Contrastive Learning. - Hengrui Gu 002; Ying Wang 009; Xin Wang 035 (ADMA (3), 2023)

PokeMQA: Programmable knowledge editing for Multi-hop Question Answering. - Hengrui Gu 002; Kaixiong Zhou; Xiaotian Han; Ninghao Liu; Ruobing Wang 003; Xin Wang 035 (ACL (1), 2024)

Pioneering Reliable Assessment in Text-to-Image Knowledge Editing: Leveraging a Fine-Grained Dataset and an Innovative Criterion. - Hengrui Gu 002; Kaixiong Zhou; Yili Wang 004; Ruobing Wang 003; Xin Wang 035 (EMNLP (Findings), 2024)

Mitigate Extrinsic Social Bias in Pre-trained Language Models via Continuous Prompts Adjustment. - Yiwei Dai; Hengrui Gu 002; Ying Wang 009; Xin Wang 035 (EMNLP, 2024)

Cross-Lingual Multi-Hop Knowledge Editing. - Aditi Khandelwal; Harman Singh; Hengrui Gu 002; Tianlong Chen 001; Kaixiong Zhou (EMNLP (Findings), 2024)

LGCRS: LLM-Guided Representation-Enhancing for Conversational Recommender System. - Ruobing Wang 003; Xin He 003; Hengrui Gu 002; Xin Wang 035 (ICANN (9), 2024)

Cross-Lingual Multi-Hop Knowledge Editing - Benchmarks, Analysis and a Simple Contrastive Learning based Approach. - Aditi Khandelwal; Harman Singh; Hengrui Gu 002; Tianlong Chen 001; Kaixiong Zhou (CoRR, 2024)

The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit. - Huixue Zhou; Hengrui Gu 002; Zaifu Zhan; Xi Liu; Kaixiong Zhou; Yongkang Xiao; Mingfu Liang; Srinivas Prasad Govindan; Piyush Chawla; Jiyan Yang; Xiangfei Meng; Huayu Li; et al. (ACL (1), 2025)

DAMO: Decoding by Accumulating Activations Momentum for Mitigating Hallucinations in Vision-Language Models. - Kaishen Wang; Hengrui Gu 002; Meijun Gao; Kaixiong Zhou (ICLR, 2025)

Layer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack Defense. - Yang Ouyang; Hengrui Gu 002; Shuhang Lin; Wenyue Hua; Jie Peng 002; Bhavya Kailkhura; Meijun Gao; Tianlong Chen 001; Kaixiong Zhou (NAACL (Long Papers), 2025)

The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit. - Huixue Zhou; Hengrui Gu 002; Xi Liu; Kaixiong Zhou; Mingfu Liang; Yongkang Xiao; Srinivas Govindan; Piyush Chawla; Jiyan Yang; Xiangfei Meng; Huayu Li; Buyun Zhang; et al. (CoRR, 2025)

Layer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack Defense. - Yang Ouyang; Hengrui Gu 002; Shuhang Lin; Wenyue Hua; Jie Peng 002; Bhavya Kailkhura; Tianlong Chen 001; Kaixiong Zhou (CoRR, 2025)

Latte: Transfering LLMs' Latent-level Knowledge for Few-shot Tabular Learning. - Ruxue Shi; Hengrui Gu 002; Hangting Ye; Yiwei Dai; Xu Shen 002; Xin Wang 035 (CoRR, 2025)

Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification. - Ruxue Shi; Hengrui Gu 002; Xu Shen 002; Xin Wang 035 (CoRR, 2025)