Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective. - Chengqiang Lu; Qi Liu 003; Chao Wang 086; Zhenya Huang; Peize Lin; Lixin He (AAAI, 2019)

ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction. - Zhongkai Hao; Chengqiang Lu; Zhenya Huang; Hao Wang 076; Zheyuan Hu 002; Qi Liu 003; Enhong Chen; Cheekong Lee (KDD, 2020)

A Graph-Based Author Name Disambiguation Method and Analysis via Information Theory. - Yingying Ma; Youlong Wu; Chengqiang Lu (Entropy, 2020)

GraphMI: Extracting Private Graph Data from Graph Neural Networks. - Zaixi Zhang; Qi Liu 003; Zhenya Huang; Hao Wang 076; Chengqiang Lu; Chuanren Liu; Enhong Chen (IJCAI, 2021)

Motif-based Graph Self-Supervised Learning for Molecular Property Prediction. - Zaixi Zhang; Qi Liu 003; Hao Wang 076; Chengqiang Lu; Chee-Kong Lee (NeurIPS, 2021)

ProtGNN: Towards Self-Explaining Graph Neural Networks. - Zaixi Zhang; Qi Liu 003; Hao Wang 076; Chengqiang Lu; Cheekong Lee (AAAI, 2022)

Deep Unified Representation for Heterogeneous Recommendation. - Chengqiang Lu; Mingyang Yin; Shuheng Shen; Luo Ji; Qi Liu 003; Hongxia Yang (WWW, 2022)

Knowledge Distillation of Transformer-based Language Models Revisited. - Chengqiang Lu; Jianwei Zhang 012; Yunfei Chu; Zhengyu Chen 001; Jingren Zhou 001; Fei Wu 001; Haiqing Chen; Hongxia Yang (CoRR, 2022)

Towards Exploring Large Molecular Space: An Efficient Chemical Genetic Algorithm. - Jian-Fu Zhu; Zhongkai Hao; Qi Liu 003; Yu Yin 002; Chengqiang Lu; Zhenya Huang; En-Hong Chen (J. Comput. Sci. Technol., 2022)

Qwen Technical Report. - Jinze Bai; Shuai Bai; Yunfei Chu; Zeyu Cui; Kai Dang; Xiaodong Deng; Yang Fan; Wenbin Ge; Yu Han; Fei Huang 005; Binyuan Hui; Luo Ji; et al. (CoRR, 2023)

Learning to Reweight for Graph Neural Network. - Zhengyu Chen 001; Teng Xiao; Kun Kuang; Zheqi Lv; Min Zhang 005; Jinluan Yang; Chengqiang Lu; Hongxia Yang; Fei Wu 001 (CoRR, 2023)

Multi-task bioassay pre-training for protein-ligand binding affinity prediction. - Jiaxian Yan; Zhaofeng Ye; Ziyi Yang; Chengqiang Lu; Shengyu Zhang; Qi Liu; Jiezhong Qiu (Briefings Bioinform., 2023)

Learning to Reweight for Generalizable Graph Neural Network. - Zhengyu Chen 001; Teng Xiao; Kun Kuang; Zheqi Lv; Min Zhang 005; Jinluan Yang; Chengqiang Lu; Hongxia Yang; Fei Wu 001 (AAAI, 2024)

Vript: A Video Is Worth Thousands of Words. - Dongjie Yang; Suyuan Huang; Chengqiang Lu; Xiaodong Han; Haoxin Zhang; Yan Gao 017; Yao Hu 002; Hai Zhao 001 (NeurIPS, 2024)

MoDification: Mixture of Depths Made Easy. - Chen Zhang 020; Meizhi Zhong; Qimeng Wang; Xuantao Lu; Zheyu Ye; Chengqiang Lu; Yan Gao 017; Yao Hu 002; Kehai Chen; Min Zhang 005; Dawei Song 001 (NAACL (Long Papers), 2025)

Plan Your Travel and Travel with Your Plan: Wide-Horizon Planning and Evaluation via LLM. - Dongjie Yang; Chengqiang Lu; Qimeng Wang; Xinbei Ma; Yan Gao 017; Yao Hu 002; Hai Zhao 001 (CoRR, 2025)

RedOne: Revealing Domain-specific LLM Post-Training in Social Networking Services. - Fei Zhao; Chonggang Lu; Yue Wang; Zheyong Xie; Ziyan Liu; Haofu Qian; JianZhao Huang; Fangcheng Shi; Zijie Meng; Hongcheng Guo; Mingqian He; Xinze Lyu; et al. (CoRR, 2025)