Nonlinear Element Compensation by Gain Adjustment and Dither Smoothing. - Yun Yao Lee; Chien-Yu Chi; Kunming Li (ISIC, 2007)

A Study of the Nonlinear Relation between CPI and International Oil Price Based on STR Model. - Kunming Li; Jianbao Chen (CSEE (4), 2011)

Photo-Realistic Simulation of Road Scene for Data-Driven Methods in Bad Weather. - Kunming Li; Yu Li 003; Shaodi You; Nick Barnes (ICCV Workshops, 2017)

Structural Edge Detection: A Dataset and Benchmark. - Weixuan Sun; Shaodi You; Janine Walker; Kunming Li; Nick Barnes (DICTA, 2018)

Adversarial Noise Layer: Regularize Neural Network By Adding Noise. - Zhonghui You; Jinmian Ye; Kunming Li; Ping Wang 003 (CoRR, 2018)

Research on KNN Algorithm in Malicious PDF Files Classification under Adversarial Environment. - Kunming Li; Yijun Gu; Peijing Zhang; An Wang; Wenzheng Li (ICBDC, 2019)

Learning From Synthetic Photorealistic Raindrop for Single Image Raindrop Removal. - Zhixiang Hao; Shaodi You; Yu Li 003; Kunming Li; Feng Lu 005 (ICCV Workshops, 2019)

Adversarial Noise Layer: Regularize Neural Network by Adding Noise. - Zhonghui You; Jinmian Ye; Kunming Li; Zenglin Xu; Ping Wang 003 (ICIP, 2019)

Improvement of Ego Network Detection Algorithm Based on Cluster Validity Index. - Wenzheng Li; Yijun Gu; An Wang; Kunming Li (ISI, 2019)

Socially Aware Crowd Navigation with Multimodal Pedestrian Trajectory Prediction for Autonomous Vehicles. - Kunming Li; Mao Shan; Karan Narula; Stewart Worrall 002; Eduardo M. Nebot (ITSC, 2020)

Probabilistic Crowd GAN: Multimodal Pedestrian Trajectory Prediction Using a Graph Vehicle-Pedestrian Attention Network. - Stuart Eiffert; Kunming Li; Mao Shan; Stewart Worrall 002; Salah Sukkarieh; Eduardo M. Nebot (IEEE Robotics Autom. Lett., 2020)

Using Heterogeneous Satellites for Passive Detection of Moving Aerial Target. - Mingqian Liu; Kunming Li; Hao Song 001; Yunfei Chen 001; Xiuhui Gao; Fengkui Gong (Remote. Sens., 2020)

Attentional-GCNN: Adaptive Pedestrian Trajectory Prediction towards Generic Autonomous Vehicle Use Cases. - Kunming Li; Stuart Eiffert; Mao Shan; Francisco Gomez-Donoso; Stewart Worrall 002; Eduardo M. Nebot (ICRA, 2021)

Crowd Prediction and Autonomous Navigation with Partial Observations. - Kunming Li; Mao Shan; Stewart Worrall 002; Eduardo M. Nebot (ITSC, 2022)

Towards Collision-Free Probabilistic Pedestrian Motion Prediction for Autonomous Vehicles. - Kunming Li; Mao Shan; Stuart Eiffert; Stewart Worrall 002; Eduardo M. Nebot (IV, 2022)

Game Theory-Based Simultaneous Prediction and Planning for Autonomous Vehicle Navigation in Crowded Environments. - Kunming Li; Yijun Chen 002; Mao Shan; Jiachen Li; Stewart Worrall 002; Eduardo M. Nebot (ITSC, 2023)

Knowledge-aware Graph Transformer for Pedestrian Trajectory Prediction. - Yu Liu; Yuexin Zhang; Kunming Li; Yongliang Qiao; Stewart Worrall 002; Youfu Li 001; He Kong (ITSC, 2023)

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides. - Kunming Li; Mao Shan; Julie Stephany Berrio Perez; Katie Luo; Stewart Worrall 002 (CoRR, 2024)

Online High-Definition Map Construction for Autonomous Vehicles: A Comprehensive Survey. - Hongyu Lyu; Julie Stephany Berrio Perez; Yaoqi Huang; Kunming Li; Mao Shan; Stewart Worrall 002 (J. Sens. Actuator Networks, 2025)