Two-Bit Networks for Deep Learning on Resource-Constrained Embedded Devices. - Wenjia Meng; Zonghua Gu 001; Ming Zhang 018; Zhaohui Wu 001 (CoRR, 2017)

A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning. - Long Yang 004; Minhao Shi; Qian Zheng; Wenjia Meng; Gang Pan 001 (IJCAI, 2018)

Qualitative Measurements of Policy Discrepancy for Return-Based Deep Q-Network. - Wenjia Meng; Qian Zheng; Long Yang 004; Pengfei Li 005; Gang Pan 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

An Off-Policy Trust Region Policy Optimization Method With Monotonic Improvement Guarantee for Deep Reinforcement Learning. - Wenjia Meng; Qian Zheng; Yue Shi; Gang Pan 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Off-Policy Proximal Policy Optimization. - Wenjia Meng; Qian Zheng; Gang Pan 001; Yilong Yin (AAAI, 2023)

Few-shot classification of Cryo-ET subvolumes with deep Brownian distance covariance. - Xueshi Yu; Renmin Han; Haitao Jiao; Wenjia Meng (Briefings Bioinform., 2024)

Off-OAB: Off-Policy Policy Gradient Method with Optimal Action-Dependent Baseline. - Wenjia Meng; Qian Zheng; Long Yang 004; Yilong Yin; Gang Pan 001 (CoRR, 2024)

A Gaussian Filter-Based 3D Registration Method for Series Section Electron Microscopy. - Zhenbang Zhang; Hongjia Li; Zhiqiang Xu; Wenjia Meng; Renmin Han (AAAI, 2025)

SeqMvRL: A Sequential Fusion Framework for Multi-view Representation Learning. - Ren Wang 011; Haoliang Sun; Yuxiu Lin; Chuanhui Zuo; Yongshun Gong; Yilong Yin; Wenjia Meng (CVPR, 2025)

Cross-graph meta matching correction for noisy graph matching. - Fangkai Li; Feiyu Pan; Wenjia Meng; Haoliang Sun; Xiushan Nie; Yilong Yin; Xiankai Lu (Comput. Vis. Image Underst., 2025)

CausalCOMRL: Context-Based Offline Meta-Reinforcement Learning with Causal Representation. - Zhengzhe Zhang; Wenjia Meng; Haoliang Sun; Gang Pan 001 (CoRR, 2025)