Tianlin Liu

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 45

Top Topics

Video Quality Assessment

Kinematic Model

Action Selection

Top Venues

Publications

Tianlin Liu, Mathieu Blondel, Carlos Riquelme Ruiz, Joan Puigcerver
Routers in Vision Mixture of Experts: An Empirical Study. Trans. Mach. Learn. Res. 2024 (2024)
AmirEhsan Khorashadizadeh, Valentin Debarnot, Tianlin Liu, Ivan Dokmanic
GLIMPSE: Generalized Local Imaging with MLPs. CoRR (2024)
Tianlin Liu, Jose Antonio Lara Benitez, Florian Faucher, AmirEhsan Khorashadizadeh, Maarten V. de Hoop, Ivan Dokmanic
WaveBench: Benchmarking Data-driven Solvers for Linear Wave Propagation PDEs. Trans. Mach. Learn. Res. 2024 (2024)
Shengyi Huang, Quentin Gallouédec, Florian Felten, Antonin Raffin, Rousslan Fernand Julien Dossa, Yanxiao Zhao, Ryan Sullivan, Viktor Makoviychuk, Denys Makoviichuk, Mohamad H. Danesh, Cyril Roumégous, Jiayi Weng, Chufan Chen, Md Masudur Rahman, João G. M. Araújo, Guorui Quan, Daniel Tan, Timo Klein, Rujikorn Charakorn, Mark Towers, Yann Berthelot, Kinal Mehta, Dipam Chakraborty, Arjun KG, Valentin Charraut, Chang Ye, Zichen Liu, Lucas N. Alegre, Alexander Nikulin, Xiao Hu, Tianlin Liu, Jongwook Choi, Brent Yi
Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning. CoRR (2024)
Tianlin Liu, Shangmin Guo, Leonardo Bianco, Daniele Calandriello, Quentin Berthet, Felipe Llinares, Jessica Hoffmann, Lucas Dixon, Michal Valko, Mathieu Blondel
Decoding-time Realignment of Language Models. CoRR (2024)
Shangmin Guo, Biao Zhang, Tianlin Liu, Tianqi Liu, Misha Khalman, Felipe Llinares, Alexandre Ramé, Thomas Mesnard, Yao Zhao, Bilal Piot, Johan Ferret, Mathieu Blondel
Direct Language Model Alignment from Online AI Feedback. CoRR (2024)
Tianlin Liu, Mathieu Blondel, Carlos Riquelme, Joan Puigcerver
Routers in Vision Mixture of Experts: An Empirical Study. CoRR (2024)
Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Ranran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Jiayang Cheng, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. CoRR (2024)
Zengxi Huang, Yusong Qin, Xiaobing Lin, Tianlin Liu, Zhen-Hua Feng, Yiguang Liu
Motion-Driven Spatial and Temporal Adaptive High-Resolution Graph Convolutional Networks for Skeleton-Based Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 33 (4) (2023)
Weiming Qu, Tianlin Liu, Dingsheng Luo
CEMSSL: A Unified Framework for Multi-Solution Inverse Kinematic Model Learning of Robot Arms with High-Precision Manipulation. CoRR (2023)
Weiming Qu, Tianlin Liu, Xihong Wu, Dingsheng Luo
Embodied Self-Supervised Learning (EMSSL) with Sampling and Training Coordination for Robot Arm Inverse Kinematics Model Learning. CoRR (2023)
Tianlin Liu, Joan Puigcerver, Mathieu Blondel
Sparsity-Constrained Optimal Transport. ICLR (2023)
Weiming Qu, Tianlin Liu, Dingsheng Luo
High-Precise Robot Arm Manipulation based on Online Iterative Learning and Forward Simulation with Positioning Error Below End-Effector Physical Minimum Displacement. CoRR (2023)
Weiming Qu, Tianlin Liu, Xihong Wu, Dingsheng Luo
Embodied Self-Supervised Learning (EMSSL) with Sampling and Training Coordination for Robot Arm Inverse Kinematic Model Learning. ICDL (2023)
Yangwei You, Tianlin Liu, Xiaowei Liang, Zhe Xu, Mingliang Zhou, Zhibin Li, Shiwu Zhang
Run and Catch: Dynamic Object-Catching of Quadrupedal Robots. IROS (2023)
Siyu Lu, Zheng Liu, Tianlin Liu, Wangchunshu Zhou
Scaling-up medical vision-and-language representation learning with federated learning. Eng. Appl. Artif. Intell. 126 (Part D) (2023)
Tianlin Liu, Anadi Chaman, David Belius, Ivan Dokmanic
Learning Multiscale Convolutional Dictionaries for Image Reconstruction. IEEE Trans. Computational Imaging 8 (2022)
Anastasis Kratsios, Behnoosh Zamanlooy, Tianlin Liu, Ivan Dokmanic
Universal Approximation Under Constraints is Possible with Transformers. ICLR (2022)
Tianlin Liu, Joan Puigcerver, Mathieu Blondel
Sparsity-Constrained Optimal Transport. CoRR (2022)
Shuai Fang, Yaoyao Wei, Weikai Lin, Jianan Zhang, Tianlin Liu, Dingsheng Luo
Approaching Sound Object with Sensorimotor Coordination when Sensors Partially Damaged. ICDL (2021)
Anastasis Kratsios, Behnoosh Zamanlooy, Tianlin Liu, Ivan Dokmanic
Universal Approximation Under Constraints is Possible with Transformers. CoRR (2021)
Jiachen Yang, Tianlin Liu, Bin Jiang, Wen Lu, Qinggang Meng
Panoramic Video Quality Assessment Based on Non-Local Spherical CNN. IEEE Trans. Multim. 23 (2021)
Tianlin Liu, Friedemann Zenke
Finding trainable sparse networks through Neural Tangent Transfer. CoRR (2020)
Zekun Yang, Tianlin Liu
Causally Denoise Word Embeddings Using Half-Sibling Regression. AAAI (2020)
Tianlin Liu, Friedemann Zenke
Finding trainable sparse networks through Neural Tangent Transfer. ICML (2020)
Tianlin Liu, Anadi Chaman, David Belius, Ivan Dokmanic
Interpreting U-Nets via Task-Driven Multiscale Dictionary Learning. CoRR (2020)
Tianlin Liu, Lyle Ungar, João Sedoc
Continual Learning for Sentence Representations Using Conceptors. CoRR (2019)
Zekun Yang, Tianlin Liu
Causally Denoise Word Embeddings Using Half-Sibling Regression. CoRR (2019)
Mengxi Nie, Dingsheng Luo, Tianlin Liu, Xihong Wu
Action Selection Based on Prediction for Robot Planning. ICDL-EPIROB (2019)
Tianlin Liu, Xihong Wu, Dingsheng Luo
A Hierarchical Model for StarCraft II Mini-Game. ICMLA (2019)
Tianlin Liu
Harnessing Slow Dynamics in Neuromorphic Computation. CoRR (2019)
Tianlin Liu, Lyle Ungar, João Sedoc
Unsupervised Post-Processing of Word Vectors via Conceptor Negation. AAAI (2019)
Xu He, Tianlin Liu, Fatemeh Hadaeghi, Herbert Jaeger
Reservoir Transfer on Analog Neuromorphic Hardware. NER (2019)
Tianlin Liu, Lyle Ungar, João Sedoc
Continual Learning for Sentence Representations Using Conceptors. NAACL-HLT (1) (2019)
Tianlin Liu, João Sedoc, Lyle H. Ungar
Correcting the Common Discourse Bias in Linear Representation of Sentences using Conceptors. CoRR (2018)
Tianlin Liu, Dae Gwan Lee
Gradient Descent. CoRR (2018)
Tianlin Liu, Lyle H. Ungar, João Sedoc
Unsupervised Post-processing of Word Vectors via Conceptor Negation. CoRR (2018)
Tianlin Liu, Arvid Kappas
Estimating Gradual-Emotional Behavior in One-Minute Videos with ESNs. CoRR (2018)
Tianlin Liu
A Consistent Method for Learning OOMs from Asymptotically Stationary Time Series Data Containing Missing Values. CoRR (2018)
Tao Zhang, Fan Hu, Yian Deng, Mengxi Nie, Tianlin Liu, Xihong Wu, Dingsheng Luo
Self-developing Proprioception-Based Robot Internal Models. IFIP TC12 ICIS (2018)
Tianlin Liu, Jianan Zhang, Xingfang Wu, Xihong Wu, Dingsheng Luo
Robot Learning to Play Drums with an Open-Ended Internal Model. ROBIO (2018)
Tianlin Liu, Arvid Kappas
Predicting Engagement Breakdown in HRI Using Thin-Slices of Facial Expressions. AAAI Workshops (2018)
Jiachen Yang, Tianlin Liu, Bin Jiang, Houbing Song, Wen Lu
3D Panoramic Virtual Reality Video Quality Assessment Based on 3D Convolutional Neural Networks. IEEE Access 6 (2018)
Yaoyao Wei, Tianlin Liu, Yian Deng, Xihong Wu, Dingsheng Luo
Learning to chase a ball efficiently and smoothly for a wheeled robot. M2VIP (2017)
Xingfang Wu, Tianlin Liu, Yian Deng, Xihong Wu, Dingsheng Luo
Developing Robot Drumming Skill with Listening-Playing Loop. ICSI (2) (2017)
Tianlin Liu, Zhigang Zhang, Liu Xuejuan
Knowledge Reduction in Incomplete and Fuzzy Objective Information Systems. CIS (2) (2008)