Li, Tianyu

27 publications

ICCV 2025 Decoupled Diffusion Sparks Adaptive Scene Generation Yunsong Zhou, Naisheng Ye, William Ljungbergh, Tianyu Li, Jiazhi Yang, Zetong Yang, Hongzi Zhu, Christoffer Petersson, Hongyang Li
ICML 2025 GraphGPT: Generative Pre-Trained Graph Eulerian Transformer Qifang Zhao, Weidong Ren, Tianyu Li, Hong Liu, Xingsheng He, Xiaoxiao Xu
NeurIPS 2025 Hybrid Boundary Physics-Informed Neural Networks for Solving Navier-Stokes Equations with Complex Boundary Chuyu Zhou, Tianyu Li, Chenxi Lan, Rongyu Du, Guoguo Xin, Wei Li, Guoqing Wang, Xun Liu, Hangzhou Yang
ICCV 2025 Implicit Counterfactual Learning for Audio-Visual Segmentation Mingfeng Zha, Tianyu Li, Guoqing Wang, Peng Wang, Yangyang Wu, Yang Yang, Heng Tao Shen
ICLR 2025 Language Guided Skill Discovery Seungeun Rho, Laura Smith, Tianyu Li, Sergey Levine, Xue Bin Peng, Sehoon Ha
CoRL 2025 Pseudo-Simulation for Autonomous Driving Wei Cao, Marcel Hallgarten, Tianyu Li, Daniel Dauner, Xunjiang Gu, Caojun Wang, Yakov Miron, Marco Aiello, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta
NeurIPS 2025 TopoPoint: Enhance Topology Reasoning via Endpoint Detection in Autonomous Driving Yanping Fu, Xinyuan Liu, Tianyu Li, Yike Ma, Yucheng Zhang, Feng Dai
CVPR 2024 AAMDM: Accelerated Auto-Regressive Motion Diffusion Model Tianyu Li, Calvin Qiao, Guanqiao Ren, KangKang Yin, Sehoon Ha
MLJ 2024 Connecting Weighted Automata, Tensor Networks and Recurrent Neural Networks Through Spectral Learning Tianyu Li, Doina Precup, Guillaume Rabusseau
ICLR 2024 CrossLoco: Human Motion Driven Control of Legged Robots via Guided Unsupervised Reinforcement Learning Tianyu Li, Hyunyoung Jung, Matthew Gombolay, Yong Cho, Sehoon Ha
ECCV 2024 Embodied Understanding of Driving Scenarios Yunsong Zhou, Linyan Huang, Qingwen Bu, Jia Zeng, Tianyu Li, Hang Qiu, Hongzi Zhu, Minyi Guo, Yu Qiao, Hongyang Li
ECCV 2024 Fully Sparse 3D Occupancy Prediction Haisong Liu, Yang Chen, Haiguang Wang, Zetong Yang, Tianyu Li, Jia Zeng, Li Chen, Hongyang Li, Limin Wang
CVPR 2024 Generalized Predictive Model for Autonomous Driving Jiazhi Yang, Shenyuan Gao, Yihang Qiu, Li Chen, Tianyu Li, Bo Dai, Kashyap Chitta, Penghao Wu, Jia Zeng, Ping Luo, Jun Zhang, Andreas Geiger, Yu Qiao, Hongyang Li
ICLR 2024 LaneSegNet: mAP Learning with Lane Segment Perception for Autonomous Driving Tianyu Li, Peijin Jia, Bangjun Wang, Li Chen, Kun Jiang, Junchi Yan, Hongyang Li
NeurIPS 2024 NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking Daniel Dauner, Marcel Hallgarten, Tianyu Li, Xinshuo Weng, Zhiyu Huang, Zetong Yang, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta
NeurIPS 2024 Physics-Constrained Comprehensive Optical Neural Networks Yanbing Liu, Jianwei Qin, Yan Liu, Xi Yue, Xun Liu, Guoqing Wang, Tianyu Li, Fangwei Ye, Wei Li
ECCV 2024 Region-Aware Distribution Contrast: A Novel Approach to Multi-Task Partially Supervised Learning Meixuan Li, Tianyu Li, Guoqing Wang, Peng Wang, Yang Yang, Jie Zou
AAAI 2024 Weakly-Supervised Mirror Detection via Scribble Annotations Mingfeng Zha, Yunqiang Pei, Guoqing Wang, Tianyu Li, Yang Yang, Wenbin Qian, Heng Tao Shen
CVPRW 2023 Contrast, Stylize and Adapt: Unsupervised Contrastive Learning Framework for Domain Adaptive Semantic Segmentation Tianyu Li, Subhankar Roy, Huayi Zhou, Hongtao Lu, Stéphane Lathuilière
NeurIPS 2023 OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping Huijie Wang, Tianyu Li, Yang Li, Li Chen, Chonghao Sima, Zhenbo Liu, Bangjun Wang, Peijin Jia, Yuting Wang, Shengyin Jiang, Feng Wen, Hang Xu, Ping Luo, Junchi Yan, Wei Zhang, Hongyang Li
CoRL 2023 Task Generalization with Stability Guarantees via Elastic Dynamical System Motion Policies Tianyu Li, Nadia Figueroa
JAIR 2022 Low-Rank Representation of Reinforcement Learning Policies Bogdan Mazoure, Thang Doan, Tianyu Li, Vladimir Makarenkov, Joelle Pineau, Doina Precup, Guillaume Rabusseau
AISTATS 2020 Efficient Planning Under Partial Observability with Unnormalized Q Functions and Spectral Learning Tianyu Li, Bogdan Mazoure, Doina Precup, Guillaume Rabusseau
CoRL 2019 Bayesian Optimization in Variational Latent Spaces with Dynamic Compression Rika Antonova, Akshara Rai, Tianyu Li, Danica Kragic
AISTATS 2019 Connecting Weighted Automata and Recurrent Neural Networks Through Spectral Learning Guillaume Rabusseau, Tianyu Li, Doina Precup
AISTATS 2018 Nonlinear Weighted Finite Automata Tianyu Li, Guillaume Rabusseau, Doina Precup
ICCV 2017 Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis Rui Huang, Shu Zhang, Tianyu Li, Ran He