Shangqi Guo

28 papers A* 4A 2Journal 22
YearRankTypeTitle / Venue / Authors
2026 J jnl
Chain-of-Detection: Enhancing Cross-Granularity Robotic Perception for Object Manipulation.
IEEE Trans. Neural Networks Learn. Syst.
Tianrun Xu, Haichuan Gao, Changlin Chen, Yuxuan Li, Shiyuan Xu, Shangqi Guo, Feng Chen
2026 J jnl
HMEN: A hybrid modular network with dynamic expansion for continual learning.
Knowl. Based Syst.
Ziye Fang, Bo Wan, Shangqi Guo, Jian K. Liu
2025 J jnl
Causal dreamer for partially observable model-based reinforcement learning.
Neurocomputing
Haichuan Gao, Tianrun Xu, Tianren Zhang, Yuqing Guo, Chujie Zhao, Jinsheng Ren, Yizhou Jiang, Shangqi Guo, Feng Chen
2025 A* conf
Complete-Tree Space Favors Data-Efficient Link Prediction.
ICML
Chi Gao, Lukai Li, Yancheng Zhou, Shangqi Guo
2025 J jnl
Spiking Variational Policy Gradient for Brain Inspired Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhile Yang, Shangqi Guo, Ying Fang, Zhaofei Yu, Jian K. Liu
2024 J jnl
Hierarchical reinforcement learning from imperfect demonstrations through reachable coverage-based subgoal filtering.
Knowl. Based Syst.
Yu Tang, Shangqi Guo, Jinhui Liu, Bo Wan, Lingling An, Jian K. Liu
2023 J jnl
Adjacency Constraint for Efficient Hierarchical Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen
2023 A* conf
Fast Counterfactual Inference for History-Based Reinforcement Learning.
AAAI
Haichuan Gao, Tianren Zhang, Zhile Yang, Yuqing Guo, Jinsheng Ren, Shangqi Guo, Feng Chen
2023 J jnl
PAC-Bayesian offline Meta-reinforcement learning.
Appl. Intell.
Zheng Sun, Chenheng Jing, Shangqi Guo, Lingling An
2023 J jnl
Partial Consistency for Stabilizing Undiscounted Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst.
Haichuan Gao, Zhile Yang, Tian Tan, Tianren Zhang, Jinsheng Ren, Pengfei Sun, Shangqi Guo, Feng Chen
2022 A conf
Biologically Plausible Variational Policy Gradient with Spiking Recurrent Winner-Take-All Networks.
BMVC
Zhile Yang, Shangqi Guo, Ying Fang, Jian K. Liu
2022 J jnl
Biologically Plausible Variational Policy Gradient with Spiking Recurrent Winner-Take-All Networks.
CoRR
Zhile Yang, Shangqi Guo, Ying Fang, Jian K. Liu
2022 J jnl
Orientation-Preserving Rewards' Balancing in Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst.
Jinsheng Ren, Shangqi Guo, Feng Chen
2022 J jnl
Primitive-contrastive network: data-efficient self-supervised learning from robot demonstration videos.
Appl. Intell.
Pengfei Sun, Zhile Yang, Tianren Zhang, Shangqi Guo, Feng Chen
2022 J jnl
State-Temporal Compression in Reinforcement Learning With the Reward-Restricted Geodesic Metric.
IEEE Trans. Pattern Anal. Mach. Intell.
Shangqi Guo, Qi Yan, Xin Su, Xiaolin Hu, Feng Chen
2021 J jnl
Adjacency constraint for efficient hierarchical reinforcement learning.
CoRR
Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen
2021 A conf
CRIL: Continual Robot Imitation Learning via Generative and Prediction Model.
IROS
Chongkai Gao, Haichuan Gao, Shangqi Guo, Tianren Zhang, Feng Chen
2021 J jnl
CRIL: Continual Robot Imitation Learning via Generative and Prediction Model.
CoRR
Chongkai Gao, Haichuan Gao, Shangqi Guo, Tianren Zhang, Feng Chen
2021 J jnl
Subjective Learning for Open-Ended Data.
CoRR
Tianren Zhang, Yizhou Jiang, Xin Su, Shangqi Guo, Feng Chen
2020 J jnl
Cycle representation-disentangling network: learning to completely disentangle spatial-temporal features in video.
Appl. Intell.
Pengfei Sun, Xin Su, Shangqi Guo, Feng Chen
2020 J jnl
Emergent Inference of Hidden Markov Models in Spiking Neural Networks Through Winner-Take-All.
IEEE Trans. Cybern.
Zhaofei Yu, Shangqi Guo, Fei Deng, Qi Yan, Keke Huang, Jian K. Liu, Feng Chen
2020 A* conf
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning.
NeurIPS
Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen
2020 J jnl
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning.
CoRR
Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen
2020 J jnl
Generative Memory for Lifelong Learning.
IEEE Trans. Neural Networks Learn. Syst.
Xin Su, Shangqi Guo, Tian Tan, Feng Chen
2020 A* conf
Task Understanding from Confusing Multi-task Data.
ICML
Xin Su, Yizhou Jiang, Shangqi Guo, Feng Chen
2019 J jnl
Hierarchical Bayesian Inference and Learning in Spiking Neural Networks.
IEEE Trans. Cybern.
Shangqi Guo, Zhaofei Yu, Fei Deng, Xiaolin Hu, Feng Chen
2019 J jnl
Subjectivity Learning Theory towards Artificial General Intelligence.
CoRR
Xin Su, Shangqi Guo, Feng Chen
2019 J jnl
Transferable Environment Model With Disentangled Dynamics.
IEEE Access
Qi Yan, Shangqi Guo, Dagui Chen, Zhile Yang, Feng Chen