SOT for MOT. - Qizheng He; Jia-Nan Wu; Gang Yu 002; Chi Zhang 026 (CoRR, 2017)

The Energy Complexity of Broadcast. - Yi-Jun Chang; Varsha Dani; Thomas P. Hayes; Qizheng He; Wenzheng Li; Seth Pettie (PODC, 2018)

The Complexity of Distributed Edge Coloring with Small Palettes. - Yi-Jun Chang; Qizheng He; Wenzheng Li; Seth Pettie; Jara Uitto (SODA, 2018)

Faster Approximation Algorithms for Geometric Set Cover. - Timothy M. Chan; Qizheng He (SoCG, 2020)

Further Results on Colored Range Searching. - Timothy M. Chan; Qizheng He; Yakov Nekrich (SoCG, 2020)

Reducing 3SUM to Convolution-3SUM. - Timothy M. Chan; Qizheng He (SOSA, 2020)

On the Change-Making Problem. - Timothy M. Chan; Qizheng He (SOSA, 2020)

Distributed Edge Coloring and a Special Case of the Constructive Lovász Local Lemma. - Yi-Jun Chang; Qizheng He; Wenzheng Li; Seth Pettie; Jara Uitto (ACM Trans. Algorithms, 2020)

More dynamic data structures for geometric set cover with sublinear update time. - Timothy M. Chan; Qizheng He (J. Comput. Geom., 2021)

More on change-making and related problems. - Timothy M. Chan; Qizheng He (J. Comput. Syst. Sci., 2022)

On the FPT Status of Monotone Convex Chain Cover. - Qizheng He (CCCG, 2023)

On the Fine-Grained Complexity of Small-Size Geometric Set Cover and Discrete k-Center for Small k. - Timothy M. Chan; Qizheng He; Yuancheng Yu (ICALP, 2023)

Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning. - Chi Han; Qizheng He; Charles Yu; Xinya Du; Hanghang Tong; Heng Ji 001 (ICLR, 2023)

Enclosing Points with Geometric Objects. - Timothy M. Chan; Qizheng He; Jie Xue 003 (SoCG, 2024)

Improved Algorithms for Integer Complexity. - Qizheng He (SOSA, 2024)

Simple and Faster Algorithms for Knapsack. - Qizheng He; Zhean Xu (SOSA, 2024)

Exploring the anti-gout potential of sunflower receptacles alkaloids: A computational and pharmacological analysis. - Kaiyu Wang; Huizi Cui; Kaifeng Liu; Qizheng He; Xueqi Fu; Wannan Li; Weiwei Han (Comput. Biol. Medicine, 2024)

Exploring Bitter and Sweet: The Application of Large Language Models in Molecular Taste Prediction. - Renxiu Song; Kaifeng Liu; Qizheng He; Fei He; Weiwei Han (J. Chem. Inf. Model., 2024)

Large Language Models as Tools for Molecular Toxicity Prediction: AI Insights into Cardiotoxicity. - Hengzheng Yang; Jian Xiu; Weiqi Yan 004; Kaifeng Liu; Huizi Cui; Zhibang Wang; Qizheng He; Yilin Gao; Weiwei Han (J. Chem. Inf. Model., 2025)

Dynamic Geometric Set Cover, Revisited. - Timothy M. Chan; Qizheng He; Subhash Suri; Jie Xue 003 (SIAM J. Comput., 2025)