Zobrazeno 1 - 10
of 2 623
pro vyhledávání: '"LIU Zhenzhen"'
The waveguide-integrated metasurface introduces a novel photonic chip capable of converting guided modes into free-space light. This enables functions such as off-chip beam focusing, steering, and imaging. The challenge lies in achieving hypermultipl
Externí odkaz:
http://arxiv.org/abs/2407.02247
Autor:
Chen, Xiangyu, Liu, Zhenzhen, Luo, Katie Z, Datta, Siddhartha, Polavaram, Adhitya, Wang, Yan, You, Yurong, Li, Boyi, Pavone, Marco, Chao, Wei-Lun, Campbell, Mark, Hariharan, Bharath, Weinberger, Kilian Q.
Ensuring robust 3D object detection and localization is crucial for many applications in robotics and autonomous driving. Recent models, however, face difficulties in maintaining high performance when applied to domains with differing sensor setups o
Externí odkaz:
http://arxiv.org/abs/2405.16034
Second-order topological insulators can be characterized by their bulk polarization, which is believed to be intrinsically connected to the center of the Wannier function. In this study, we demonstrate the existence of second-order topological insula
Externí odkaz:
http://arxiv.org/abs/2405.00759
Autor:
Nguyen, Quang-Huy, Zhou, Jin Peng, Liu, Zhenzhen, Bui, Khanh-Huyen, Weinberger, Kilian Q., Le, Dung D.
Machine learning algorithms are increasingly provided as black-box cloud services or pre-trained models, without access to their training data. This motivates the problem of zero-shot out-of-distribution (OOD) detection. Concretely, we aim to detect
Externí odkaz:
http://arxiv.org/abs/2402.03292
Autor:
Luo, Katie Z, Liu, Zhenzhen, Chen, Xiangyu, You, Yurong, Benaim, Sagie, Phoo, Cheng Perng, Campbell, Mark, Sun, Wen, Hariharan, Bharath, Weinberger, Kilian Q.
Recent advances in machine learning have shown that Reinforcement Learning from Human Feedback (RLHF) can improve machine learning models and align them with human preferences. Although very successful for Large Language Models (LLMs), these advancem
Externí odkaz:
http://arxiv.org/abs/2310.19080
Autor:
Liu, Zhenzhen, Wan, Chao, Kishore, Varsha, Zhou, Jin Peng, Chen, Minmin, Weinberger, Kilian Q.
Abstractive summarization aims at generating natural language summaries of a source document that are succinct while preserving the important elements. Despite recent advances, neural text summarization models are known to be susceptible to hallucina
Externí odkaz:
http://arxiv.org/abs/2310.16176
Autor:
LIU Zhenzhen, ZHENG Jiafu
Publikováno v:
Jiaoshi jiaoyu xuebao, Vol 11, Iss 6, Pp 25-34 (2024)
Drama is an art presenting contradictions and conflicts through verbal dialogues and body movements. Remodeling moral education classrooms with drama means placing students in a class of "situations, conflicts, experiences and reflections", allowing
Externí odkaz:
https://doaj.org/article/04047cae67a54784a77b0fbcfcb606ba
Unsupervised out-of-distribution detection (OOD) seeks to identify out-of-domain data by learning only from unlabeled in-domain data. We present a novel approach for this task - Lift, Map, Detect (LMD) - that leverages recent advancement in diffusion
Externí odkaz:
http://arxiv.org/abs/2302.10326
In the presence of crystalline symmetries, second-order topological insulators can be featured by the polarization which is believed identical to the Wannier center. In this Letter, we show that second-order topological insulators are present in the
Externí odkaz:
http://arxiv.org/abs/2208.09153
Publikováno v:
In International Journal of Disaster Risk Reduction December 2024 115