activity
20142023
most citedBefore the Bar: Kinematic Detection of A Spheroidal Metal-Poor Bulge Component

100 citations · 249 across the 12 of their papers we have counts for

collaborators

12 papers

cs.LG2023★ 1 cited

Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs

Yinchuan Li, Zhigang Li, Wenqian Li +3

Many score-based active learning methods have been successfully applied to graph-structured data, aiming to reduce the number of labels and achieve better performance of graph neur…

cs.LG2023★ 4 cited

DAG Matters! GFlowNets Enhanced Explainer For Graph Neural Networks

Wenqian Li, Yinchuan Li, Zhigang Li +2

Uncovering rationales behind predictions of graph neural networks (GNNs) has received increasing attention over the years. Existing literature mainly focus on selecting a subgraph,…

cs.CV2021

PFRL: Pose-Free Reinforcement Learning for 6D Pose Estimation

Jianzhun Shao, Yuhang Jiang, Gu Wang +2

6D pose estimation from a single RGB image is a challenging and vital task in computer vision. The current mainstream deep model methods resort to 2D images annotated with real-wor…

cs.CV2021★ 24 cited

GDRNPP: A Geometry-guided and Fully Learning-based Object Pose Estimator

Xingyu Liu, Ruida Zhang, Chenyangguang Zhang +4

6D pose estimation of rigid objects is a long-standing and challenging task in computer vision. Recently, the emergence of deep learning reveals the potential of Convolutional Neur…

cs.CV2020★ 7 cited

Robust RGB-based 6-DoF Pose Estimation without Real Pose Annotations

Zhigang Li, Yinlin Hu, Mathieu Salzmann +1

While much progress has been made in 6-DoF object pose estimation from a single RGB image, the current leading approaches heavily rely on real-annotation data. As such, they remain…

cs.LG2020

Optimizing AD Pruning of Sponsored Search with Reinforcement Learning

Yijiang Lian, Zhijie Chen, Xin Pei +10

Industrial sponsored search system (SSS) can be logically divided into three modules: keywords matching, ad retrieving, and ranking. During ad retrieving, the ad candidates grow ex…

cs.IT2020★ 2 cited

Contention-based Grant-free Transmission with Independent Multi-pilot Scheme

Zhifeng Yuan, Weimin Li, Zhigang Li +2

Contention-based grant-free transmission is very promising for future massive machine-type communication (mMTC). In contention-based transmission, the random pilot collision is a c…

cs.AR2019★ 1 cited

Generalized Fault-Tolerance Topology Generation for Application Specific Network-on-Chips

Song Chen, Mengke Ge, Zhigang Li +3

The Network-on-Chips is a promising candidate for addressing communication bottlenecks in many-core processors and neural network processors. In this work, we consider the generali…

cs.IR2019★ 10 cited

An end-to-end Generative Retrieval Method for Sponsored Search Engine --Decoding Efficiently into a Closed Target Domain

Yijiang Lian, Zhijie Chen, Jinlong Hu +11

In this paper, we present a generative retrieval method for sponsored search engine, which uses neural machine translation (NMT) to generate keywords directly from query. This meth…

cs.NI2016★ 84 cited

Talk More Listen Less: Energy-Efficient Neighbor Discovery in Wireless Sensor Networks

Ying Qiu, Shining Li, Xiangsen Xu +1

Neighbor discovery is a fundamental service for initialization and managing network dynamics in wireless sensor networks and mobile sensing applications. In this paper, we present…

astro-ph.GA2016★ 100 cited

Before the Bar: Kinematic Detection of A Spheroidal Metal-Poor Bulge Component

Andrea Kunder, R. M. Rich, J. Storm +7

We present 947 radial velocities of RR Lyrae variable stars in four fields located toward the Galactic bulge, observed within the data from the ongoing Bulge RR Lyrae Radial Veloci…

cond-mat.str-el2014★ 16 cited

ARPES insights on the metallic states of YbB6(001): E(k) dispersion, temporal changes and spatial variation

Emmanouil Frantzeskakis, Nick de Jong, Jiuxing Zhang +7

We report high resolution Angle Resolved PhotoElectron Spectroscopy (ARPES) results on the (001) cleavage surface of YbB, a rare-earth compound which has been recently predic…