PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching. - Zhenting Qi; Xiaoyu Tan; Shaojie Shi; Chao Qu; Yinghui Xu; Yuan Qi 001 (EMNLP (Industry Track), 2023)

Self-Criticism: Aligning Large Language Models with their Understanding of Helpfulness, Honesty, and Harmlessness. - Xiaoyu Tan; Shaojie Shi; Xihe Qiu; Chao Qu; Zhenting Qi; Yinghui Xu; Yuan Qi 001 (EMNLP (Industry Track), 2023)

Efficient Real-Time Dense Pedestrian Detector Based on Improved YOLOv7-tiny. - Xuezhi Li; Yiping Shi; Ziyun Zhao; Shaojie Shi (ICAIP, 2023)

Face makeup transfer based on Generative Adversarial Network. - Ziyun Zhao; Yiping Shi; Xuezhi Li; Shaojie Shi; Jin Liu 010 (ICAIP, 2023)

Gram-based Attentive Neural Ordinary Differential Equations Network for Video Nystagmography Classification. - Xihe Qiu; Shaojie Shi; Xiaoyu Tan; Chao Qu; Zhijun Fang; Hailing Wang; Yongbin Gao; Peixia Wu; Huawei Li (ICCV, 2023)

ULMR: Unlearning Large Language Models via Negative Response and Model Parameter Average. - Shaojie Shi; Xiaoyu Tan; Xihe Qiu; Chao Qu; Kexin Nie; Yuan Cheng; Wei Chu; Yinghui Xu; Yuan Qi 001 (EMNLP (Industry Track), 2024)

Enhancing Personalized Headline Generation via Offline Goal-conditioned Reinforcement Learning with Large Language Models. - Xiaoyu Tan; Leijun Cheng; Xihe Qiu; Shaojie Shi; Yuan Cheng; Wei Chu; Yinghui Xu; Yuan Qi 001 (KDD, 2024)

Enhancing Task Performance in Continual Instruction Fine-tuning Through Format Uniformity. - Xiaoyu Tan; Leijun Cheng; Xihe Qiu; Shaojie Shi; Yuan Cheng; Wei Chu; Yinghui Xu; Yuan Qi 001 (SIGIR, 2024)

Chain-of-LoRA: Enhancing the Instruction Fine-Tuning Performance of Low-Rank Adaptation on Diverse Instruction Set. - Xihe Qiu; Teqi Hao; Shaojie Shi; Xiaoyu Tan; Yu-Jie Xiong (IEEE Signal Process. Lett., 2024)

LLM-GAODE: Large-language-model augmented neural ordinary differential equation network for video nystagmography classification. - Xihe Qiu; Shaojie Shi; Bin Li 091; Xiaoyu Tan; Yongbin Gao; Shuo Li 001 (Knowl. Based Syst., 2025)