98 citations · 434 across the 26 of their papers we have counts for
27 papers
Low-Switching Policy Gradient with Exploration via Online Sensitivity Sampling
Yunfan Li, Yiran Wang, Yu Cheng +1
Policy optimization methods are powerful algorithms in Reinforcement Learning (RL) for their flexibility to deal with policy parameterization and ability to handle model misspecifi…
2nd Place Winning Solution for the CVPR2023 Visual Anomaly and Novelty Detection Challenge: Multimodal Prompting for Data-centric Anomaly Detection
Yunkang Cao, Xiaohao Xu, Chen Sun +3
This technical report introduces the winning solution of the team Segment Any Anomaly for the CVPR2023 Visual Anomaly and Novelty Detection (VAND) challenge. Going beyond uni-modal…
Segment Any Anomaly without Training via Hybrid Prompt Regularization
Yunkang Cao, Xiaohao Xu, Chen Sun +4
We present a novel framework, i.e., Segment Any Anomaly + (SAA+), for zero-shot anomaly segmentation with hybrid prompt regularization to improve the adaptability of modern foundat…
GANHead: Towards Generative Animatable Neural Head Avatars
Sijing Wu, Yichao Yan, Yunhao Li +5
To bring digital avatars into people's lives, it is highly demanded to efficiently generate complete, realistic, and animatable head avatars. This task is challenging, and it is di…
Head3D: Complete 3D Head Generation via Tri-plane Feature Distillation
Yuhao Cheng, Yichao Yan, Wenhan Zhu +3
Head generation with diverse identities is an important task in computer vision and computer graphics, widely used in multimedia applications. However, current full head generation…
Edge Preserving Implicit Surface Representation of Point Clouds
Xiaogang Wang, Yuhang Cheng, Liang Wang +3
Learning implicit surface directly from raw data recently has become a very attractive representation method for 3D reconstruction tasks due to its excellent performance. However,…
Simple and Robust Loss Design for Multi-Label Learning with Missing Labels
Youcai Zhang, Yuhao Cheng, Xinyu Huang +4
Multi-label learning in the presence of missing labels (MLML) is a challenging problem. Existing methods mainly focus on the design of network structures or training schemes, which…
Deep Co-Attention Network for Multi-View Subspace Learning
Lecheng Zheng, Yu Cheng, Hongxia Yang +2
Many real-world applications involve data from multiple modalities and thus exhibit the view heterogeneity. For example, user modeling on social media might leverage both the topol…
Optimizing Non-Orthogonal Multiple Access in Random Access Networks
Ziru Chen, Yong Liu, Sami Khairy +3
Non-orthogonal multiple access (NOMA) has been considered as a promising solution for improving the spectrum efficiency of next-generation wireless networks. In this paper, the per…
Constrained Deep Reinforcement Learning for Energy Sustainable Multi-UAV based Random Access IoT Networks with NOMA
Sami Khairy, Prasanna Balaprakash, Lin X. Cai +1
In this paper, we apply the Non-Orthogonal Multiple Access (NOMA) technique to improve the massive channel access of a wireless IoT network where solar-powered Unmanned Aerial Vehi…
Topology Aware Deep Learning for Wireless Network Optimization
Shuai Zhang, Bo Yin, Yu Cheng
Data-driven machine learning approaches have recently been proposed to facilitate wireless network optimization by learning latent knowledge from historical optimization instances.…
Throughput Analysis and Energy Efficiency Optimization for Standalone LTE-U Networks with Randomly Delayed CSI
Hangguan Shan, Taojie Qin, Guanding Yu +3
To coexist with Wi-Fi friendly, a standalone long-term evolution network over unlicensed spectrum (LTE-U) under listen-before-talk (LBT) mechanism can only access channel in a rand…
A Stochastic Geometry Analysis of Energy Harvesting in Large Scale Wireless Networks
Ziru Chen, Zhao Chen, Lin X. Cai +2
In this paper, the theoretical sustainable capacity of wireless networks with radio frequency (RF) energy harvesting is analytically studied. Specifically, we consider a large scal…
Beamforming Design for Max-Min Fair SWIPT in Green Cloud-RAN with Wireless Fronthaul
Zhao Chen, Haisheng Xu, Lin X. Cai +1
In this paper, a joint beamforming design for max-min fair simultaneous wireless information and power transfer (SWIPT) is investigated in a green cloud radio access network (Cloud…
A Hybrid Approach for Efficient Wireless Information and Power Transfer in Green C-RAN
Xu Li, Zhao Chen, Aurobinda Laha +3
In this paper, we consider a green cloud radio access network (C-RAN) with simultaneous wireless and power transfer ability. In order to reduce the energy consumed for updating the…
Catching Anomalous Distributed Photovoltaics: An Edge-based Multi-modal Anomaly Detection
Devu Manikantan Shilay, Kin Gwn Lorey, Tianshu Weiz +2
A significant challenge in energy system cyber security is the current inability to detect cyber-physical attacks targeting and originating from distributed grid-edge devices such…
The Core Mass Function in the Massive Protocluster G286.21+0.17 revealed by ALMA
Yu Cheng, Jonathan C. Tan, Mengyao Liu +4
We study the core mass function (CMF) of the massive protocluster G286.21+0.17 with the Atacama Large Millimeter/submillimeter Array via 1.3~mm continuum emission at a resolution o…
Energy-Throughput Tradeoff in Sustainable Cloud-RAN with Energy Harvesting
Zhao Chen, Ziru Chen, Lin X. Cai +1
In this paper, we investigate joint beamforming for energy-throughput tradeoff in a sustainable cloud radio access network system, where multiple base stations (BSs) powered by ind…
Defending Against DDoS Attacks in Bloom Filter based Multicasting
Xiaohua Tian, Wei Liu, Yu Cheng
This paper analyze security issues of Bloom filter based multicast forwarding mechanisms. Tree oriented approaches and destination oriented approaches are studied. We analyze the p…
A Distributed Secure Outsourcing Scheme for Solving Linear Algebraic Equations in Ad Hoc Clouds
Wenlong Shen, Bo Yin, Xianghui Cao +1
The emerging ad hoc clouds form a new cloud computing paradigm by leveraging untapped local computation and storage resources. An important application application over ad hoc clou…
Signaling in Quasipolynomial time
Yu Cheng, Ho Yee Cheung, Shaddin Dughmi +1
Strategic interactions often take place in an environment rife with uncertainty. As a result, the equilibrium of a game is intimately related to the information available to its pl…
Secure Key Establishment for Device-to-Device Communications
Wenlong Shen, Weisheng Hong, Xianghui Cao +3
With the rapid growth of smartphone and tablet users, Device-to-Device (D2D) communications have become an attractive solution for enhancing the performance of traditional cellular…
Energy Efficient Spectrum Sensing for State Estimation over A Wireless Channel
Xianghui Cao, Xiangwei Zhou, Yu Cheng
The performance of remote estimation over wireless channel is strongly affected by sensor data losses due to interference. Although the impact of interference can be alleviated by…
On Optimizing Energy Efficiency in Multi-Radio Multi-Channel Wireless Networks
Lu Liu, Xianghui Cao, Yu Cheng +1
Multi-radio multi-channel (MR-MC) networks contribute significant enhancement in the network throughput by exploiting multiple radio interfaces and non-overlapping channels. While…