Qiangxing Tian

11 papers A* 3A 1B 3Journal 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Enhancing Visual-Language Prompt Tuning Through Sparse Knowledge-Guided Context Optimization. Entropy Qiangxing Tian, Min Zhang
2024	J	`jnl`	GSC: A graph-based skill composition framework for robot learning. Robotics Auton. Syst. Qiangxing Tian, Shanshan Zhang, Donglin Wang, Jinxin Liu, Shuyu Yang
2022	A*	`conf`	Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning. AAAI Jinxin Liu, Donglin Wang, Qiangxing Tian, Zhengyu Chen
2021	J	`jnl`	Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning. CoRR Jinxin Liu, Donglin Wang, Qiangxing Tian, Zhengyu Chen
2021	B	`conf`	Unsupervised Discovery of Transitional Skills for Deep Reinforcement Learning. IJCNN Qiangxing Tian, Jinxin Liu, Guanchu Wang, Donglin Wang
2021	A*	`conf`	Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning. NeurIPS Jinxin Liu, Hao Shen, Donglin Wang, Yachen Kang, Qiangxing Tian
2021	J	`jnl`	Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning. CoRR Jinxin Liu, Hao Shen, Donglin Wang, Yachen Kang, Qiangxing Tian
2020	A*	`conf`	Independent Skill Transfer for Deep Reinforcement Learning. IJCAI Qiangxing Tian, Guanchu Wang, Jinxin Liu, Donglin Wang, Yachen Kang
2020	B	`conf`	Multivariate Time Series Prediction with PID-based Residual Compensation. IJCNN Jinxin Liu, Qiangxing Tian, Donglin Wang
2020	B	`conf`	Preferential Experience Collection with Frequency based Intrinsic Reward for Deep Reinforcement Learning. ICTAI Hongyin Zhang, Qiangxing Tian, Donglin Wang, Kaichen Wei
2019	A	`conf`	Time Series Prediction with Interpretable Data Reconstruction. CIKM Qiangxing Tian, Jinxin Liu, Donglin Wang, Ao Tang