Good , Neutral or Bad - News Classification. - Aashish Agarwal; Ankita Mandal; Matthias Schaffeld; Fangzheng Ji; Jhiao Zhan; Yiqi Sun; Ahmet Aker (NewsIR@SIGIR, 2019)

Energy efficient production planning and scheduling problem with processing technology selection. - Jingran Liang; Yuyan Wang; Zhi-Hai Zhang; Yiqi Sun (Comput. Ind. Eng., 2019)

A Static Instrumentation Method for IoT Firmware ELF Binary Emulation Patching. - Yiqi Sun; Baojiang Cui; Chen Chen 061; Yifei Wang (IMIS, 2020)

Simulation-Based Fuzzing for Smart IoT Devices. - Fanglei Zhang; Baojiang Cui; Chen Chen 061; Yiqi Sun; Kairui Gong; Jinxin Ma (IMIS, 2021)

Open, Scrutable and Explainable Interest Models for Transparent Recommendation. - Mouadh Guesmi; Mohamed Amine Chatti; Yiqi Sun; Shadi Zumor; Fangzheng Ji; Arham Muslim; Laura Vorgerd; Shoeb Ahmed Joarder (IUI Workshops, 2021)

Input or Output: Effects of Explanation Focus on the Perception of Explainable Recommendation with Varying Level of Details. - Mouadh Guesmi; Mohamed Amine Chatti; Laura Vorgerd; Shoeb Ahmed Joarder; Qurat Ul Ain; Thao Ngo; Shadi Zumor; Yiqi Sun; Fangzheng Ji; Arham Muslim (IntRS@RecSys, 2021)

On-demand Personalized Explanation for Transparent Recommendation. - Mouadh Guesmi; Mohamed Amine Chatti; Laura Vorgerd; Shoeb Ahmed Joarder; Shadi Zumor; Yiqi Sun; Fangzheng Ji; Arham Muslim (UMAP (Adjunct Publication), 2021)

Memomusic Version 2.0: Extending Personalized Music Recommendation with Automatic Music Generation. - Luntian Mou; Yiyuan Zhao; Quan Hao; Yunhan Tian; Juehui Li; Jueying Li; Yiqi Sun; Feng Gao 014; Baocai Yin (ICME Workshops, 2022)

Improving Accuracy Without Losing Interpretability: A ML Approach for Time Series Forecasting. - Yiqi Sun; Zhengxin Shi; Jianshen Zhang; Yongzhi Qi; Hao Hu; Zuo-Jun Max Shen (CoRR, 2022)

When do firms benefit from joint price and lead-time competition? - Yiqi Sun; Zhengping Wu; Wanshan Zhu (Eur. J. Oper. Res., 2022)

MemoMusic 3.0: Considering Context at Music Recommendation and Combining Music Theory at Music Generation. - Luntian Mou; Yihan Sun 006; Yunhan Tian; Yiqi Sun; Yuhang Liu; Zexi Zhang; Ruichen He; Juehui Li; Jueying Li; Zijin Li; Feng Gao 014; Yemin Shi 001; et al. (ICME Workshops, 2023)

Using Drone Swarm to Stop Wildfire: A Predict-then-optimize Approach. - Shijie Pan; Aoran Cheng; Yiqi Sun; Kai Kang; Cristobal Pais; Yulun Zhou; Zuojun Shen 001 (CoRR, 2024)

PLURAL: 3D Point Cloud Transfer Learning via Contrastive Learning With Augmentations. - Michael Biehler; Yiqi Sun; Shriyanshu Kode; Jing Li 016; Jianjun Shi 001 (IEEE Trans Autom. Sci. Eng., 2024)