Grey clustering evaluation based on triangular whitenization weight function of enterprise's management innovation performance. - Tianbo Li; Ershi Qi; Yimin Huang (Grey Syst. Theory Appl., 2014)

Transfer Hawkes Processes with Content Information. - Tianbo Li; Pengfei Wei 001; Yiping Ke (ICDM, 2018)

An Active Steering Soft Robot for Small-Bore T-Branch Pipeline. - Tianbo Li; Yang Yang 044; Yonggan Liu; Yongjian Zhao; Yan Peng 001; Jun Ke; Yuyi Zhai (ICIRA (2), 2019)

Thinning for Accelerating the Learning of Point Processes. - Tianbo Li; Yiping Ke (NeurIPS, 2019)

Time-varying network link loss rate tracking from unicast end-to-end measurements. - Gaolei Fei; Tianbo Li; Guangmin Hu (Int. J. Commun. Syst., 2019)

Nonlinear High-Gain Observer-Based Diagnosis and Compensation for Actuator and Sensor Faults in a Quadrotor Unmanned Aerial Vehicle. - Hong-Jun Ma 001; Yanli Liu 004; Tianbo Li; Guang-Hong Yang (IEEE Trans. Ind. Informatics, 2019)

Tweedie-Hawkes Processes: Interpreting the Phenomena of Outbreaks. - Tianbo Li; Yiping Ke (AAAI, 2020)

Causal Meta-Mediation Analysis: Inferring Dose-Response Function From Summary Statistics of Many Randomized Experiments. - Zenan Wang; Xuan Yin; Tianbo Li; Liangjie Hong (KDD, 2020)

Brain Tumor Segmentation based on Knowledge Distillation and Adversarial Training. - Yaqing Hou; Tianbo Li; Qiang Zhang 008; Hua Yu 006; Hongwei Ge (IJCNN, 2021)

Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions. - Tianbo Li; Tianze Luo; Yiping Ke; Sinno Jialin Pan (KDD, 2021)

Advanced hawkes processes for practical event sequence analysis : models and accelerations - Tianbo Li (2021)

D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory. - Tianbo Li; Min Lin; Zheyuan Hu 002; Kunhao Zheng; Giovanni Vignale; Kenji Kawaguchi; A. H. Castro Neto; Kostya S. Novoselov; Shuicheng Yan (ICLR, 2023)

Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows. - Chao Du; Tianbo Li; Tianyu Pang; Shuicheng Yan; Min Lin (ICML, 2023)

Amortized Eigendecomposition for Neural Networks. - Tianbo Li; Zekun Shi; Jiaxi Zhao; Min Lin (NeurIPS, 2024)

Cooperative defense of autonomous surface vessels with quantity disadvantage using behavior cloning and deep reinforcement learning. - Siqing Sun; Tianbo Li; Xiao Chen; Huachao Dong; Xinjing Wang (Appl. Soft Comput., 2024)

Diagonalization without Diagonalization: A Direct Optimization Approach for Solid-State Density Functional Theory. - Tianbo Li; Min Lin; Stephen Dale; Zekun Shi; A. H. Castro Neto; Kostya S. Novoselov; Giovanni Vignale (CoRR, 2024)