222 citations · 841 across the 78 of their papers we have counts for
21 papers · 1 filter
Photonic chip-based low noise microwave oscillator
Igor Kudelin, William Groman, Qing-Xin Ji +26
Numerous modern technologies are reliant on the low-phase noise and exquisite timing stability of microwave signals. Substantial progress has been made in the field of microwave ph…
Bayesian Poisson Regression and Tensor Train Decomposition Model for Learning Mortality Pattern Changes during COVID-19 Pandemic
Wei Zhang, Antonietta Mira, Ernst C. Wit
COVID-19 has led to excess deaths around the world, however it remains unclear how the mortality of other causes of death has changed during the pandemic. Aiming at understanding t…
Diversity is Strength: Mastering Football Full Game with Interactive Reinforcement Learning of Multiple AIs
Chenglu Sun, Shuo Shen, Sijia Xu +1
Training AI with strong and rich strategies in multi-agent environments remains an important research topic in Deep Reinforcement Learning (DRL). The AI's strength is closely relat…
MolXPT: Wrapping Molecules with Text for Generative Pre-training
Zequn Liu, Wei Zhang, Yingce Xia +5
Generative pre-trained Transformer (GPT) has demonstrates its great success in natural language processing and related techniques have been adapted into molecular modeling. Conside…
MRN: Multiplexed Routing Network for Incremental Multilingual Text Recognition
Tianlun Zheng, Zhineng Chen, BingChen Huang +2
Multilingual text recognition (MLTR) systems typically focus on a fixed set of languages, which makes it difficult to handle newly added languages or adapt to ever-changing data di…
City Street Layout Generation via Conditional Adversarial Learning
Lehao Yang, Cui Zhu, Tian Feng
The demand for high-quality city street layouts has persisted for an extended period presenting notable challenges. Conventional methods are yet to effectively address the integrat…
LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model
Peng Gao, Jiaming Han, Renrui Zhang +9
How to efficiently transform large language models (LLMs) into instruction followers is recently a popular research direction, while training LLM for multi-modal reasoning remains…
Mastering Asymmetrical Multiplayer Game with Multi-Agent Asymmetric-Evolution Reinforcement Learning
Chenglu Sun, Yichi Zhang, Yu Zhang +4
Asymmetrical multiplayer (AMP) game is a popular game genre which involves multiple types of agents competing or collaborating with each other in the game. It is difficult to train…
Network Pruning Spaces
Xuanyu He, Yu-I Yang, Ran Song +5
Network pruning techniques, including weight pruning and filter pruning, reveal that most state-of-the-art neural networks can be accelerated without a significant performance drop…
DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-training via Word-Region Alignment
Lewei Yao, Jianhua Han, Xiaodan Liang +4
This paper presents DetCLIPv2, an efficient and scalable training framework that incorporates large-scale image-text pairs to achieve open-vocabulary object detection (OVD). Unlike…
Graph-based Topology Reasoning for Driving Scenes
Tianyu Li, Li Chen, Huijie Wang +10
Understanding the road genome is essential to realize autonomous driving. This highly intelligent problem contains two aspects - the connection relationship of lanes, and the assig…
Tighter upper bounds on the critical temperature of two-dimensional superconductors and superfluids from the BCS to the Bose regime
Tingting Shi, Wei Zhang, C. A. R. Sá de Melo
We discuss standard and tighter upper bounds on the critical temperature of two-dimensional (2D) superconductors and superfluids versus particle density or filling factor…
CapDet: Unifying Dense Captioning and Open-World Detection Pretraining
Yanxin Long, Youpeng Wen, Jianhua Han +5
Benefiting from large-scale vision-language pre-training on image-text pairs, open-world detection methods have shown superior generalization ability under the zero-shot or few-sho…
Entity-Level Text-Guided Image Manipulation
Yikai Wang, Jianan Wang, Guansong Lu +4
Existing text-guided image manipulation methods aim to modify the appearance of the image or to edit a few objects in a virtual or simple scenario, which is far from practical appl…
Single-shot laser-induced switching of an exchange biased antiferromagnet
Zongxia Guo, Junlin Wang, Gregory Malinowski +13
Ultrafast manipulation of magnetic order has challenged our understanding the fundamental and dynamic properties of magnetic materials. So far single shot magnetic switching has be…
Joint Task and Data Oriented Semantic Communications: A Deep Separate Source-channel Coding Scheme
Jianhao Huang, Dongxu Li, Chuan Huang +2
Semantic communications are expected to accomplish various semantic tasks with relatively less spectrum resource by exploiting the semantic feature of source data. To simultaneousl…
DDCNN: A Promising Tool for Simulation-To-Reality UAV Fault Diagnosis
Wei Zhang, Shanze Wang, Junjie Tong +3
Identifying the fault in propellers is important to keep quadrotors operating safely and efficiently. The simulation-to-reality (sim-to-real) UAV fault diagnosis methods provide a…
Engineered zero-dispersion microcombs using CMOS-ready photonics
Qing-Xin Ji, Warren Jin, Lue Wu +14
Normal group velocity dispersion (GVD) microcombs offer high comb line power and high pumping efficiency compared to bright pulse microcombs. The recent demonstration of normal GVD…
Magnon-magnon interactions induced by spin pumping-driven symmetry breaking in synthetic antiferromagnets
Mitra Mani Subedi, Kuangyin Deng, Yuzan Xiong +9
The richness in both the dispersion and energy of antiferromagnetic magnons has spurred the magnetism community to consider antiferromagnets for future spintronic/magnonic applicat…
Spin Dynamics in van der Waals Magnetic Systems
Chunli Tang, Laith Alahmed, Muntasir Mahdi +11
The discovery of atomic monolayer magnetic materials has stimulated intense research activities in the two-dimensional (2D) van der Waals (vdW) materials community. The field is gr…
Uncovering the role of the light-induced reduction of the inter-atomic exchange in the ultrafast demagnetization of Fe, Co, and Ni
Philippe Scheid, Julius Hohlfeld, Gregory Malinowski +6
Time resolved measurements of the linear magneto-optical Kerr rotation reveal that, in the {\it 3d} ferromagnets Fe, Co and Ni, the amplitude of the demagnetization increases linea…