Search Results for author: Ran Zhang

Found 28 papers, 9 papers with code

ChipSong: A Controllable Lyric Generation System for Chinese Popular Song

1 code implementation In2Writing (ACL) 2022 Nayu Liu, Wenjing Han, Guangcan Liu, Da Peng, Ran Zhang, Xiaorui Wang, Huabin Ruan

In this work, we take a further step towards satisfying practical demands in Chinese lyric generation from musical short-video creators, in respect of the challenges on songs’ format constraints, creating specific lyrics from open-ended inspiration inputs, and language rhyme grace.

Language Modelling Sentence

Edge Intelligence Optimization for Large Language Model Inference with Batching and Quantization

no code implementations12 May 2024 Xinyuan Zhang, Jiang Liu, Zehui Xiong, Yudong Huang, Gaochang Xie, Ran Zhang

Specifically, with the deployment of the batching technique and model quantization on resource-limited edge devices, we formulate an inference model for transformer decoder-based LLMs.

Language Modelling Large Language Model +2

NLLG Quarterly arXiv Report 09/23: What are the most influential current AI Papers?

1 code implementation9 Dec 2023 Ran Zhang, Aida Kostikova, Christoph Leiter, Jonas Belouadi, Daniil Larionov, Yanran Chen, Vivian Fresen, Steffen Eger

Artificial Intelligence (AI) has witnessed rapid growth, especially in the subfields Natural Language Processing (NLP), Machine Learning (ML) and Computer Vision (CV).


Neural Impostor: Editing Neural Radiance Fields with Explicit Shape Manipulation

no code implementations9 Oct 2023 Ruiyang Liu, Jinxu Xiang, Bowen Zhao, Ran Zhang, Jingyi Yu, Changxi Zheng

To tackle the problem of efficiently editing neural implicit fields, we introduce Neural Impostor, a hybrid representation incorporating an explicit tetrahedral mesh alongside a multigrid implicit field designated for each tetrahedron within the explicit mesh.

NLLG Quarterly arXiv Report 06/23: What are the most influential current AI Papers?

1 code implementation31 Jul 2023 Steffen Eger, Christoph Leiter, Jonas Belouadi, Ran Zhang, Aida Kostikova, Daniil Larionov, Yanran Chen, Vivian Fresen

In particular, we compile a list of the 40 most popular papers based on normalized citation counts from the first half of 2023.

BrickPal: Augmented Reality-based Assembly Instructions for Brick Models

no code implementations6 Jul 2023 Yao Shi, Xiaofeng Zhang, Ran Zhang, Zhou Yang, Xiao Tang, Hongni Ye, Yi Wu

The assembly instruction is a mandatory component of Lego-like brick sets. The conventional production of assembly instructions requires a considerable amount of manual fine-tuning, which is intractable for casual users and customized brick sets. Moreover, the traditional paper-based instructions lack expressiveness and interactivity. To tackle the two problems above, we present BrickPal, an augmented reality-based system, which visualizes assembly instructions in an augmented reality head-mounted display.

Cross-lingual Cross-temporal Summarization: Dataset, Models, Evaluation

1 code implementation22 Jun 2023 Ran Zhang, Jihed Ouni, Steffen Eger

Additionally, we explore the potential of ChatGPT for CLCTS as a summarizer and an evaluator.


ChatGPT: A Meta-Analysis after 2.5 Months

no code implementations20 Feb 2023 Christoph Leiter, Ran Zhang, Yanran Chen, Jonas Belouadi, Daniil Larionov, Vivian Fresen, Steffen Eger

ChatGPT, a chatbot developed by OpenAI, has gained widespread popularity and media attention since its release in November 2022.

Chatbot Ethics

Optimal Charging Profile Design for Solar-Powered Sustainable UAV Communication Networks

no code implementations13 Feb 2023 Longxin Wang, Saugat Tripathi, Ran Zhang, Nan Cheng, Miao Wang

This work studies optimal solar charging for solar-powered self-sustainable UAV communication networks, considering the day-scale time-variability of solar radiation and user service demand.

SAGE: Saliency-Guided Mixup with Optimal Rearrangements

1 code implementation31 Oct 2022 Avery Ma, Nikita Dvornik, Ran Zhang, Leila Pishdad, Konstantinos G. Derpanis, Afsaneh Fazly

For image classification, the most popular data augmentation techniques range from simple photometric and geometrical transformations, to more complex methods that use visual saliency to craft new training examples.

Data Augmentation Domain Generalization +2

Pricing Stocks with Trading Volumes

no code implementations25 Aug 2022 Ben Duan, Yutian Li, Dawei Lu, Yang Lu, Ran Zhang

The new framework can be easily adopted to local volume and stochastic volume models for the option pricing problem, which will point out a new possible direction for this central problem in quantitative finance.

Counterbalancing Teacher: Regularizing Batch Normalized Models for Robustness

no code implementations4 Jul 2022 Saeid Asgari Taghanaki, Ali Gholami, Fereshte Khani, Kristy Choi, Linh Tran, Ran Zhang, Aliasghar Khani

Batch normalization (BN) is a ubiquitous technique for training deep neural networks that accelerates their convergence to reach higher accuracy.

Uncertainty-based Cross-Modal Retrieval with Probabilistic Representations

no code implementations20 Apr 2022 Leila Pishdad, Ran Zhang, Konstantinos G. Derpanis, Allan Jepson, Afsaneh Fazly

Probabilistic embeddings have proven useful for capturing polysemous word meanings, as well as ambiguity in image matching.

Image Retrieval Image-text matching +2

Responsive Regulation of Dynamic UAV Communication Networks Based on Deep Reinforcement Learning

1 code implementation25 Aug 2021 Ran Zhang, Duc Minh, Nguyen, Miao Wang, Lin X. Cai, Xuemin, Shen

In this chapter, the regulation of Unmanned Aerial Vehicle (UAV) communication network is investigated in the presence of dynamic changes in the UAV lineup and user distribution.

reinforcement-learning Reinforcement Learning (RL)

A Simulated Experiment to Explore Robotic Dialogue Strategies for People with Dementia

no code implementations18 Apr 2021 Fengpei Yuan, Amir Sadovnik, Ran Zhang, Devin Casenhiser, Eun Jin Paek, Si On Yoon, Xiaopeng Zhao

People with Alzheimer's disease and related dementias (ADRD) often show the problem of repetitive questioning, which brings a great burden on persons with ADRD (PwDs) and their caregivers.


Probabilistic Multimodal Representation Learning

no code implementations1 Jan 2021 Leila Pishdad, Ran Zhang, Afsaneh Fazly, Allan Jepson

Learning multimodal representations is a requirement for many tasks such as image--caption retrieval.

Representation Learning Retrieval

How coherent are neural models of coherence?

no code implementations COLING 2020 Leila Pishdad, Federico Fancellu, Ran Zhang, Afsaneh Fazly

Despite the recent advances in coherence modelling, most such models including state-of-the-art neural ones, are evaluated on either contrived proxy tasks such as the standard order discrimination benchmark, or tasks that require special expert annotation.

Accurate polyglot semantic parsing with DAG grammars

no code implementations Findings of the Association for Computational Linguistics 2020 Federico Fancellu, {\'A}kos K{\'a}d{\'a}r, Ran Zhang, Afsaneh Fazly

We significantly improve upon this work, by proposing a simpler architecture as well as more efficient training and inference algorithms that can always guarantee the well-formedness of the generated graphs.

Graph Generation Semantic Parsing

SREC: Proactive Self-Remedy of Energy-Constrained UAV-Based Networks via Deep Reinforcement Learning

1 code implementation17 Sep 2020 Ran Zhang, Miao Wang, Lin X. Cai

Energy-aware control for multiple unmanned aerial vehicles (UAVs) is one of the major research interests in UAV based networking.

Reinforcement Learning (RL)

Dropout during inference as a model for neurological degeneration in an image captioning network

no code implementations11 Aug 2018 Bai Li, Ran Zhang, Frank Rudzicz

We replicate a variation of the image captioning architecture by Vinyals et al. (2015), then introduce dropout during inference mode to simulate the effects of neurodegenerative diseases like Alzheimer's disease (AD) and Wernicke's aphasia (WA).

Image Captioning

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