Tianwei Ni - RankMe

27 papers A* 6A 2Misc 1Journal 17Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Long-Horizon Model-Based Offline Reinforcement Learning Without Conservatism. CoRR Tianwei Ni, Esther Derman, Vineet Jain, Vincent Taboga, Siamak Ravanbakhsh, Pierre-Luc Bacon
2025	J	`jnl`	Offline Learning and Forgetting for Reasoning with Large Language Models. Trans. Mach. Learn. Res. Tianwei Ni, Allen Nie, Sapana Chaudhary, Yao Liu, Huzefa Rangwala, Rasool Fakoor
2025	J	`jnl`	Teaching Large Language Models to Reason through Learning and Forgetting. CoRR Tianwei Ni, Allen Nie, Sapana Chaudhary, Yao Liu, Huzefa Rangwala, Rasool Fakoor
2025	J	`jnl`	The Three Regimes of Offline-to-Online Reinforcement Learning. CoRR Lu Li, Tianwei Ni, Yihao Sun, Pierre-Luc Bacon
2025	J	`jnl`	Understanding Behavioral Metric Learning: A Large-Scale Study on Distracting Reinforcement Learning Environments. CoRR Ziyan Luo, Tianwei Ni, Pierre-Luc Bacon, Doina Precup, Xujie Si
2024	A	`conf`	AESHA: Accelerating Eigen-decomposition-based Sparse Transformer with Hybrid RRAM-SRAM Architecture. ICCAD Xuliang Yu, Tianwei Ni, Xinsong Sheng, Yun Pan, Lei He, Liang Zhao
2024	A*	`conf`	Bridging State and History Representations: Understanding Self-Predictive RL. ICLR Tianwei Ni, Benjamin Eysenbach, Erfan Seyedsalehi, Michel Ma, Clement Gehring, Aditya Mahajan, Pierre-Luc Bacon
2024	J	`jnl`	Bridging State and History Representations: Understanding Self-Predictive RL. CoRR Tianwei Ni, Benjamin Eysenbach, Erfan Seyedsalehi, Michel Ma, Clement Gehring, Aditya Mahajan, Pierre-Luc Bacon
2024	A*	`conf`	Do Transformer World Models Give Better Policy Gradients? ICML Michel Ma, Tianwei Ni, Clement Gehring, Pierluca D'Oro, Pierre-Luc Bacon
2024	J	`jnl`	Do Transformer World Models Give Better Policy Gradients? CoRR Michel Ma, Tianwei Ni, Clement Gehring, Pierluca D'Oro, Pierre-Luc Bacon
2024	A*	`conf`	Genetic Quantization-Aware Approximation for Non-Linear Operations in Transformers. DAC Pingcheng Dong, Yonghao Tan, Dong Zhang, Tianwei Ni, Xuejiao Liu, Yu Liu, Peng Luo, Luhong Liang, Shih-Yang Liu, Xijie Huang, Huaiyu Zhu, Yun Pan, Fengwei An, Kwang-Ting Cheng
2024	J	`jnl`	Genetic Quantization-Aware Approximation for Non-Linear Operations in Transformers. CoRR Pingcheng Dong, Yonghao Tan, Dong Zhang, Tianwei Ni, Xuejiao Liu, Yu Liu, Peng Luo, Luhong Liang, Shih-Yang Liu, Xijie Huang, Huaiyu Zhu, Yun Pan, Fengwei An, Kwang-Ting Cheng
2023	A	`conf`	Towards Disturbance-Free Visual Mobile Manipulation. WACV Tianwei Ni, Kiana Ehsani, Luca Weihs, Jordi Salvador
2023	A*	`conf`	When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment. NeurIPS Tianwei Ni, Michel Ma, Benjamin Eysenbach, Pierre-Luc Bacon
2023	J	`jnl`	When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment. CoRR Tianwei Ni, Michel Ma, Benjamin Eysenbach, Pierre-Luc Bacon
2022	A*	`conf`	Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs. ICML Tianwei Ni, Benjamin Eysenbach, Ruslan Salakhutdinov
2021	J	`jnl`	Adaptive Agent Architecture for Real-time Human-Agent Teaming. CoRR Tianwei Ni, Huao Li, Siddharth Agrawal, Suhas Raja, Fan Jia, Yikang Gui, Dana Hughes, Michael Lewis, Katia P. Sycara
2021	J	`jnl`	Individualized Mutual Adaptation in Human-Agent Teams. IEEE Trans. Hum. Mach. Syst. Huao Li, Tianwei Ni, Siddharth Agrawal, Fan Jia, Suhas Raja, Yikang Gui, Dana Hughes, Michael Lewis, Katia P. Sycara
2021	J	`jnl`	Recurrent Model-Free RL is a Strong Baseline for Many POMDPs. CoRR Tianwei Ni, Benjamin Eysenbach, Ruslan Salakhutdinov
2021	J	`jnl`	Towards Disturbance-Free Visual Mobile Manipulation. CoRR Tianwei Ni, Kiana Ehsani, Luca Weihs, Jordi Salvador
2020	—	`conf`	Lightweight Convolutional Neural Networks for Vehicle Target Recognition. ICITE Jintao Wang, Ping Ji, Wen Xiao, Tianwei Ni, Wei Sun, Sheng Zeng
2020	J	`jnl`	Meta-SAC: Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient. CoRR Yufei Wang, Tianwei Ni
2020	Misc	`conf`	f-IRL: Inverse Reinforcement Learning via State Marginal Matching. CoRL Tianwei Ni, Harshit S. Sikchi, Yufei Wang, Tejus Gupta, Lisa Lee, Ben Eysenbach
2020	J	`jnl`	f-IRL: Inverse Reinforcement Learning via State Marginal Matching. CoRR Tianwei Ni, Harshit S. Sikchi, Yufei Wang, Tejus Gupta, Lisa Lee, Benjamin Eysenbach
2019	A*	`conf`	Elastic Boundary Projection for 3D Medical Image Segmentation. CVPR Tianwei Ni, Lingxi Xie, Huangjie Zheng, Elliot K. Fishman, Alan L. Yuille
2018	J	`jnl`	Elastic Boundary Projection for 3D Medical Imaging Segmentation. CoRR Tianwei Ni, Lingxi Xie, Huangjie Zheng, Elliot K. Fishman, Alan L. Yuille
2018	J	`jnl`	Phase Collaborative Network for Multi-Phase Medical Imaging Segmentation. CoRR Huangjie Zheng, Lingxi Xie, Tianwei Ni, Ya Zhang, Yanfeng Wang, Qi Tian, Elliot K. Fishman, Alan L. Yuille