activity
20202025
most citedA3CLNN: Spatial, Spectral and Multiscale Attention ConvLSTM Neural Network for Multisource Remote Sensing Data Classification

149 citations · 273 across the 28 of their papers we have counts for

collaborators

28 papers

cs.IR2025★ 7 cited

Multi-Aggregator Time-Warping Heterogeneous Graph Neural Network for Personalized Micro-Video Recommendation

Jinkun Han, Wei Li, Zhipeng Cai +1

Micro-video recommendation is attracting global attention and becoming a popular daily service for people of all ages. Recently, Graph Neural Networks-based micro-video recommendat…

physics.optics2023

Topological dissipative Kerr soliton combs in a valley photonic crystal resonator

Zhen Jiang, Lefeng Zhou, Wei Li +5

Topological phases have become an enabling role in exploiting new applications of nonlinear optics in recent years. Here we theoretically propose a valley photonic crystal resonato…

cs.LG2023

On the Value of Myopic Behavior in Policy Reuse

Kang Xu, Chenjia Bai, Shuang Qiu +5

Leveraging learned strategies in unfamiliar scenarios is fundamental to human intelligence. In reinforcement learning, rationally reusing the policies acquired from other tasks or…

cs.LG2023★ 3 cited

Cross-Domain Policy Adaptation via Value-Guided Data Filtering

Kang Xu, Chenjia Bai, Xiaoteng Ma +5

Generalizing policies across different domains with dynamics mismatch poses a significant challenge in reinforcement learning. For example, a robot learns the policy in a simulator…

cs.SD2023★ 1 cited

Frame-Level Multi-Label Playing Technique Detection Using Multi-Scale Network and Self-Attention Mechanism

Dichucheng Li, Mingjin Che, Wenwu Meng +4

Instrument playing technique (IPT) is a key element of musical presentation. However, most of the existing works for IPT detection only concern monophonic music signals, yet little…

cs.CV2023★ 24 cited

DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only Training

Wei Li, Linchao Zhu, Longyin Wen +1

Large-scale pre-trained multi-modal models (e.g., CLIP) demonstrate strong zero-shot transfer capability in many discriminative tasks. Their adaptation to zero-shot image-condition…