Jinwei Xing - RankMe

15 papers A* 1B 4Journal 7Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input. CoRR Alon Jacovi, Andrew Wang, Chris Alberti, Connie Tao, Jon Lipovetz, Kate Olszewska, Lukas Haas, Michelle Liu, Nate Keating, Adam Bloniarz, Carl Saroufim, Corey Fry, Dror Marcus, Doron Kukliansky, Gaurav Singh Tomar, James Swirhun, Jinwei Xing, Lily Wang, Madhu Gurumurthy, Michael Aaron, Moran Ambar, Rachana Fellinger, Rui Wang, Zizhao Zhang, Sasha Goldshtein, Dipanjan Das
2023	J	`jnl`	Achieving efficient interpretability of reinforcement learning via policy distillation and selective input gradient regularization. Neural Networks Jinwei Xing, Takashi Nagata, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar
2023	J	`jnl`	Robust Resting-State Dynamics in a Large-Scale Spiking Neural Network Model of Area CA3 in the Mouse Hippocampus. Cogn. Comput. Jeffrey D. Kopsick, Carolina Tecuatl, Keivan Moradi, Sarojini M. Attili, Hirak J. Kashyap, Jinwei Xing, Kexin Chen, Jeffrey L. Krichmar, Giorgio A. Ascoli
2023	—	`—`	Understanding the Brain using Machine Learning and Enhancing Machine Learning with Neuroscience Jinwei Xing
2022	—	`conf`	Adapting to Environment Changes Through Neuromodulation of Reinforcement Learning. SAB Jinwei Xing, Xinyun Zou, Praveen K. Pilly, Nicholas A. Ketz, Jeffrey L. Krichmar
2022	B	`conf`	CARLsim 6: An Open Source Library for Large-Scale, Biologically Detailed Spiking Neural Network Simulation. IJCNN Lars Niedermeier, Kexin Chen, Jinwei Xing, Anup Das, Jeffrey Kopsick, Eric Scott, Nate Sutton, Killian Weber, Nikil D. Dutt, Jeffrey L. Krichmar
2022	J	`jnl`	Policy Distillation with Selective Input Gradient Regularization for Efficient Interpretability. CoRR Jinwei Xing, Takashi Nagata, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar
2022	B	`conf`	Uncertainty Aware Model Integration on Reinforcement Learning. IJCNN Takashi Nagata, Jinwei Xing, Tsutomu Kumazawa, Emre Neftci
2021	A*	`conf`	Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation. AAAI Jinwei Xing, Takashi Nagata, Kexin Chen, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar
2021	J	`jnl`	Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation. CoRR Jinwei Xing, Takashi Nagata, Kexin Chen, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar
2020	B	`conf`	Neuromodulated Patience for Robot and Self-Driving Vehicle Navigation. IJCNN Jinwei Xing, Xinyun Zou, Jeffrey L. Krichmar
2020	J	`jnl`	Neurorobots as a Means Toward Neuroethology and Explainable AI. Frontiers Neurorobotics Kexin Chen, Tiffany Hwu, Hirak Jyoti Kashyap, Jeffrey L. Krichmar, Kenneth Michael Stewart, Jinwei Xing, Xinyun Zou
2019	J	`jnl`	Neuromodulated Patience for Robot and Self-Driving Vehicle Navigation. CoRR Jinwei Xing, Xinyun Zou, Jeffrey L. Krichmar
2018	B	`conf`	CARLsim 4: An Open Source Library for Large Scale, Biologically Detailed Spiking Neural Network Simulation using Heterogeneous Clusters. IJCNN Ting-Shuo Chou, Hirak Jyoti Kashyap, Jinwei Xing, Stanislav Listopad, Emily L. Rounds, Michael Beyeler, Nikil D. Dutt, Jeffrey L. Krichmar
2017	—	`conf`	Spike trains encoding and threshold rescaling method for deep spiking neural networks. SSCI Yang Xu, Huajin Tang, Jinwei Xing, Hongying Li