Search Results for author: Wei Xue

Found 81 papers, 36 papers with code

ThinkSound: Chain-of-Thought Reasoning in Multimodal Large Language Models for Audio Generation and Editing

1 code implementation26 Jun 2025 Huadai Liu, Jialei Wang, Kaicheng Luo, Wen Wang, Qian Chen, Zhou Zhao, Wei Xue

While end-to-end video-to-audio generation has greatly improved, producing high-fidelity audio that authentically captures the nuances of visual content remains challenging.

Audio Generation Large Language Model +1

Graceful Forgetting in Generative Language Models

no code implementations26 May 2025 Chunyang Jiang, Chi-Min Chan, Yiyang Cai, Yulong Liu, Wei Xue, Yike Guo

To bridge this gap, in this paper we propose a novel framework, Learning With Forgetting (LWF), to achieve graceful forgetting in generative language models.

J1: Exploring Simple Test-Time Scaling for LLM-as-a-Judge

no code implementations17 May 2025 Chi-Min Chan, Chunpu Xu, Jiaming Ji, Zhen Ye, Pengcheng Wen, Chunyang Jiang, Yaodong Yang, Wei Xue, Sirui Han, Yike Guo

The current focus of AI research is shifting from emphasizing model training towards enhancing evaluation quality, a transition that is crucial for driving further advancements in AI systems.

Reinforcement Learning (RL)

SongEval: A Benchmark Dataset for Song Aesthetics Evaluation

1 code implementation16 May 2025 Jixun Yao, Guobin Ma, Huixin Xue, Huakang Chen, Chunbo Hao, Yuepeng Jiang, Haohe Liu, Ruibin Yuan, Jin Xu, Wei Xue, Hao liu, Lei Xie

Moreover, to assess the effectiveness of song aesthetic evaluation, we conduct experiments using SongEval to predict aesthetic scores and demonstrate better performance than existing objective evaluation metrics in predicting human-perceived musical quality.

CMD: Controllable Multiview Diffusion for 3D Editing and Progressive Generation

no code implementations11 May 2025 Peng Li, Suizhi Ma, Jialiang Chen, YuAn Liu, Chongyi Zhang, Wei Xue, Wenhan Luo, Alla Sheffer, Wenping Wang, Yike Guo

This conditional multiview diffusion model not only allows the generation of 3D models part by part but also enables local editing of 3D models according to the local revision of the input image without changing other 3D parts.

3D Generation

Co$^{3}$Gesture: Towards Coherent Concurrent Co-speech 3D Gesture Generation with Interactive Diffusion

no code implementations3 May 2025 Xingqun Qi, Yatian Wang, Hengyuan Zhang, Jiahao Pan, Wei Xue, Shanghang Zhang, Wenhan Luo, Qifeng Liu, Yike Guo

Considering the asymmetric body dynamics of two speakers, our framework is built upon two cooperative generation branches conditioned on separated speaker audio.

Gesture Generation

DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks

no code implementations29 Apr 2025 Xiang Wang, Hui Xu, Jing Cai, Ta Zhou, XiBei Yang, Wei Xue

Secondly, to more fully perceive the global information of cross-frequency and within-frequency coupling, the global perception branch of DB-GNN adopts a Transformer architecture.

Contrastive Learning EEG +2

OmniAudio: Generating Spatial Audio from 360-Degree Video

1 code implementation21 Apr 2025 Huadai Liu, Tianyi Luo, Kaicheng Luo, Qikai Jiang, Peiwen Sun, Jialei Wang, Rongjie Huang, Qian Chen, Wen Wang, Xiangtai Li, Shiliang Zhang, Zhijie Yan, Zhou Zhao, Wei Xue

To generate spatial audio from 360-degree video, we propose a novel framework OmniAudio, which leverages self-supervised pre-training using both spatial audio data (in FOA format) and large-scale non-spatial data.

Audio Generation

AudioX: Diffusion Transformer for Anything-to-Audio Generation

no code implementations13 Mar 2025 Zeyue Tian, Yizhu Jin, Zhaoyang Liu, Ruibin Yuan, Xu Tan, Qifeng Chen, Wei Xue, Yike Guo

Audio and music generation have emerged as crucial tasks in many applications, yet existing approaches face significant limitations: they operate in isolation without unified capabilities across modalities, suffer from scarce high-quality, multi-modal training data, and struggle to effectively integrate diverse inputs.

Audio Generation Music Generation

Delta Decompression for MoE-based LLMs Compression

1 code implementation24 Feb 2025 Hao Gu, Wei Li, Lujun Li, Qiyuan Zhu, Mark Lee, Shengjie Sun, Wei Xue, Yike Guo

Based on observations of expert diversity, we decompose their weights into a shared base weight and unique delta weights.

Diversity Mixture-of-Experts

Audio-FLAN: A Preliminary Release

1 code implementation23 Feb 2025 Liumeng Xue, Ziya Zhou, Jiahao Pan, Zixuan Li, Shuai Fan, Yinghao Ma, Sitong Cheng, Dongchao Yang, Haohan Guo, Yujia Xiao, Xinsheng Wang, Zixuan Shen, Chuanbo Zhu, Xinshen Zhang, Tianchi Liu, Ruibin Yuan, Zeyue Tian, Haohe Liu, Emmanouil Benetos, Ge Zhang, Yike Guo, Wei Xue

Audio-FLAN lays the foundation for unified audio-language models that can seamlessly handle both understanding (e. g., transcription, comprehension) and generation (e. g., speech, music, sound) tasks across a wide range of audio domains in a zero-shot manner.

Zero-Shot Learning

VFX Creator: Animated Visual Effect Generation with Controllable Diffusion Transformer

no code implementations9 Feb 2025 Xinyu Liu, Ailing Zeng, Wei Xue, Harry Yang, Wenhan Luo, Qifeng Liu, Yike Guo

Crafting magic and illusions is one of the most thrilling aspects of filmmaking, with visual effects (VFX) serving as the powerhouse behind unforgettable cinematic experiences.

Image Animation Instance Segmentation +1

Llasa: Scaling Train-Time and Inference-Time Compute for Llama-based Speech Synthesis

1 code implementation6 Feb 2025 Zhen Ye, Xinfa Zhu, Chi-Min Chan, Xinsheng Wang, Xu Tan, Jiahe Lei, Yi Peng, Haohe Liu, Yizhu Jin, Zheqi Dai, Hongzhan Lin, Jianyi Chen, Xingjian Du, Liumeng Xue, Yunlin Chen, Zhifei Li, Lei Xie, Qiuqiang Kong, Yike Guo, Wei Xue

Recent advances in text-based large language models (LLMs), particularly in the GPT series and the o1 model, have demonstrated the effectiveness of scaling both training-time and inference-time compute.

Speech Synthesis

Every Angle Is Worth A Second Glance: Mining Kinematic Skeletal Structures from Multi-view Joint Cloud

no code implementations5 Feb 2025 Junkun Jiang, Jie Chen, Ho Yin Au, Mingyuan Chen, Wei Xue, Yike Guo

Multi-person motion capture over sparse angular observations is a challenging problem under interference from both self- and mutual-occlusions.

All

SINGER: Vivid Audio-driven Singing Video Generation with Multi-scale Spectral Diffusion Model

no code implementations4 Dec 2024 Yan Li, Ziya Zhou, Zhiqiang Wang, Wei Xue, Wenhan Luo, Yike Guo

The differences between human talking and singing limit the performance of existing talking face video generation models when applied to singing.

Video Generation

EVA: An Embodied World Model for Future Video Anticipation

no code implementations20 Oct 2024 Xiaowei Chi, Chun-Kai Fan, Hengyuan Zhang, Xingqun Qi, Rongyu Zhang, Anthony Chen, Chi-Min Chan, Wei Xue, Qifeng Liu, Shanghang Zhang, Yike Guo

It leverages the complementary strengths of pre-trained vision-language and video generation models, enabling them to function as a world model in embodied scenarios.

Language Modeling Language Modelling +5

FlashAudio: Rectified Flows for Fast and High-Fidelity Text-to-Audio Generation

1 code implementation16 Oct 2024 Huadai Liu, Jialei Wang, Rongjie Huang, Yang Liu, Heng Lu, Zhou Zhao, Wei Xue

To alleviate the inefficient timesteps allocation and suboptimal distribution of noise, FlashAudio optimizes the time distribution of rectified flow with Bifocal Samplers and proposes immiscible flow to minimize the total distance of data-noise pairs in a batch vias assignment.

Audio Generation

Both Ears Wide Open: Towards Language-Driven Spatial Audio Generation

no code implementations14 Oct 2024 Peiwen Sun, Sitong Cheng, Xiangtai Li, Zhen Ye, Huadai Liu, Honggang Zhang, Wei Xue, Yike Guo

However, when it comes to stereo audio generation, the soundscapes often have a complex scene of multiple objects and directions.

Audio Generation multimodal generation

Editing Music with Melody and Text: Using ControlNet for Diffusion Transformer

no code implementations7 Oct 2024 Siyuan Hou, Shansong Liu, Ruibin Yuan, Wei Xue, Ying Shan, Mangsuo Zhao, Chao Zhang

For more precise and fine-grained melody control, we introduce a novel top-$k$ constant-Q Transform representation as the melody prompt, reducing ambiguity compared to previous representations (e. g., chroma), particularly for music with multiple tracks or a wide range of pitch values.

Music Generation Music Style Transfer +2

You Know What I'm Saying: Jailbreak Attack via Implicit Reference

1 code implementation4 Oct 2024 Tianyu Wu, Lingrui Mei, Ruibin Yuan, Lujun Li, Wei Xue, Yike Guo

While recent advancements in large language model (LLM) alignment have enabled the effective identification of malicious objectives involving scene nesting and keyword rewriting, our study reveals that these methods remain inadequate at detecting malicious objectives expressed through context within nested harmless objectives.

Language Modeling Language Modelling +1

Codec Does Matter: Exploring the Semantic Shortcoming of Codec for Audio Language Model

1 code implementation30 Aug 2024 Zhen Ye, Peiwen Sun, Jiahe Lei, Hongzhan Lin, Xu Tan, Zheqi Dai, Qiuqiang Kong, Jianyi Chen, Jiahao Pan, Qifeng Liu, Yike Guo, Wei Xue

By enhancing the semantic ability of the codec, X-Codec significantly reduces WER in speech synthesis tasks and extends these benefits to non-speech applications, including music and sound generation.

Audio Compression Audio Generation +6

AgentMonitor: A Plug-and-Play Framework for Predictive and Secure Multi-Agent Systems

1 code implementation27 Aug 2024 Chi-Min Chan, Jianxuan Yu, Weize Chen, Chunyang Jiang, Xinyu Liu, Weijie Shi, Zhiyuan Liu, Wei Xue, Yike Guo

However, configuring an MAS for a task remains challenging, with performance only observable post-execution.

Importance Weighting Can Help Large Language Models Self-Improve

1 code implementation19 Aug 2024 Chunyang Jiang, Chi-Min Chan, Wei Xue, Qifeng Liu, Yike Guo

Large language models (LLMs) have shown remarkable capability in numerous tasks and applications.

Language Modelling valid

NoRA: Nested Low-Rank Adaptation for Efficient Fine-Tuning Large Models

no code implementations18 Aug 2024 Cheng Lin, Lujun Li, Dezhi Li, Jie Zou, Wei Xue, Yike Guo

This approach allows the model to more precisely adapt to specific tasks while maintaining a compact parameter space.

Model Optimization parameter-efficient fine-tuning

Can LLMs "Reason" in Music? An Evaluation of LLMs' Capability of Music Understanding and Generation

no code implementations31 Jul 2024 Ziya Zhou, Yuhang Wu, Zhiyue Wu, Xinyue Zhang, Ruibin Yuan, Yinghao Ma, Lu Wang, Emmanouil Benetos, Wei Xue, Yike Guo

Yet scant research explores the details of how these LLMs perform on advanced music understanding and conditioned generation, especially from the multi-step reasoning perspective, which is a critical aspect in the conditioned, editable, and interactive human-computer co-creation process.

MMTrail: A Multimodal Trailer Video Dataset with Language and Music Descriptions

1 code implementation30 Jul 2024 Xiaowei Chi, Yatian Wang, Aosong Cheng, Pengjun Fang, Zeyue Tian, Yingqing He, Zhaoyang Liu, Xingqun Qi, Jiahao Pan, Rongyu Zhang, Mengfei Li, Ruibin Yuan, Yanbing Jiang, Wei Xue, Wenhan Luo, Qifeng Chen, Shanghang Zhang, Qifeng Liu, Yike Guo

To fulfill this gap, we present MMTrail, a large-scale multi-modality video-language dataset incorporating more than 20M trailer clips with visual captions, and 2M high-quality clips with multimodal captions.

Audio Generation Image to Video Generation +2

VAE-Var: Variational-Autoencoder-Enhanced Variational Assimilation

no code implementations22 May 2024 Yi Xiao, Qilong Jia, Wei Xue, Lei Bai

Data assimilation refers to a set of algorithms designed to compute the optimal estimate of a system's state by refining the prior prediction (known as background states) using observed data.

FastSAG: Towards Fast Non-Autoregressive Singing Accompaniment Generation

no code implementations13 May 2024 Jianyi Chen, Wei Xue, Xu Tan, Zhen Ye, Qifeng Liu, Yike Guo

By intensive experimental studies, we demonstrate that the proposed method can generate better samples than SingSong, and accelerate the generation by at least 30 times.

Rhythm

ComposerX: Multi-Agent Symbolic Music Composition with LLMs

1 code implementation28 Apr 2024 Qixin Deng, Qikai Yang, Ruibin Yuan, Yipeng Huang, Yi Wang, Xubo Liu, Zeyue Tian, Jiahao Pan, Ge Zhang, Hanfeng Lin, Yizhi Li, Yinghao Ma, Jie Fu, Chenghua Lin, Emmanouil Benetos, Wenwu Wang, Guangyu Xia, Wei Xue, Yike Guo

Music composition represents the creative side of humanity, and itself is a complex task that requires abilities to understand and generate information with long dependency and harmony constraints.

In-Context Learning Music Generation

FlashSpeech: Efficient Zero-Shot Speech Synthesis

1 code implementation23 Apr 2024 Zhen Ye, Zeqian Ju, Haohe Liu, Xu Tan, Jianyi Chen, Yiwen Lu, Peiwen Sun, Jiahao Pan, Weizhen Bian, Shulin He, Wei Xue, Qifeng Liu, Yike Guo

The generation processes of FlashSpeech can be achieved efficiently with one or two sampling steps while maintaining high audio quality and high similarity to the audio prompt for zero-shot speech generation.

Rhythm Speech Synthesis +1

Information Re-Organization Improves Reasoning in Large Language Models

no code implementations22 Apr 2024 Xiaoxia Cheng, Zeqi Tan, Wei Xue, Weiming Lu

In this paper, we propose an information re-organization (InfoRE) method before proceeding with the reasoning to enhance the reasoning ability of LLMs.

RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

1 code implementation31 Mar 2024 Chi-Min Chan, Chunpu Xu, Ruibin Yuan, Hongyin Luo, Wei Xue, Yike Guo, Jie Fu

To this end, we propose learning to Refine Query for Retrieval Augmented Generation (RQ-RAG) in this paper, endeavoring to enhance the model by equipping it with capabilities for explicit rewriting, decomposition, and disambiguation.

In-Context Learning RAG +3

Ads Recommendation in a Collapsed and Entangled World

1 code implementation22 Feb 2024 Junwei Pan, Wei Xue, Ximei Wang, Haibin Yu, Xun Liu, Shijie Quan, Xueming Qiu, Dapeng Liu, Lei Xiao, Jie Jiang

We present Tencent's ads recommendation system and examine the challenges and practices of learning appropriate recommendation representations.

Feature Correlation Model Optimization

RJUA-MedDQA: A Multimodal Benchmark for Medical Document Question Answering and Clinical Reasoning

no code implementations19 Feb 2024 Congyun Jin, Ming Zhang, Xiaowei Ma, Li Yujiao, Yingbo Wang, Yabo Jia, Yuliang Du, Tao Sun, Haowen Wang, Cong Fan, Jinjie Gu, Chenfei Chi, Xiangguo Lv, Fangzhou Li, Wei Xue, Yiran Huang

Recent advancements in Large Language Models (LLMs) and Large Multi-modal Models (LMMs) have shown potential in various medical applications, such as Intelligent Medical Diagnosis.

document understanding Medical Diagnosis +1

CoMoSVC: Consistency Model-based Singing Voice Conversion

1 code implementation3 Jan 2024 Yiwen Lu, Zhen Ye, Wei Xue, Xu Tan, Qifeng Liu, Yike Guo

The diffusion-based Singing Voice Conversion (SVC) methods have achieved remarkable performances, producing natural audios with high similarity to the target timbre.

model Voice Conversion

FM-OV3D: Foundation Model-based Cross-modal Knowledge Blending for Open-Vocabulary 3D Detection

no code implementations22 Dec 2023 Dongmei Zhang, Chang Li, Ray Zhang, Shenghao Xie, Wei Xue, Xiaodong Xie, Shanghang Zhang

In this work, we propose FM-OV3D, a method of Foundation Model-based Cross-modal Knowledge Blending for Open-Vocabulary 3D Detection, which improves the open-vocabulary localization and recognition abilities of 3D model by blending knowledge from multiple pre-trained foundation models, achieving true open-vocabulary without facing constraints from original 3D datasets.

3D Object Detection 3D Open-Vocabulary Object Detection +2

RJUA-QA: A Comprehensive QA Dataset for Urology

1 code implementation15 Dec 2023 Shiwei Lyu, Chenfei Chi, Hongbo Cai, Lei Shi, Xiaoyan Yang, Lei Liu, Xiang Chen, Deng Zhao, Zhiqiang Zhang, Xianguo Lyu, Ming Zhang, Fangzhou Li, Xiaowei Ma, Yue Shen, Jinjie Gu, Wei Xue, Yiran Huang

We introduce RJUA-QA, a novel medical dataset for question answering (QA) and reasoning with clinical evidence, contributing to bridge the gap between general large language models (LLMs) and medical-specific LLM applications.

Diagnostic Question Answering

Weakly-Supervised Emotion Transition Learning for Diverse 3D Co-speech Gesture Generation

no code implementations CVPR 2024 Xingqun Qi, Jiahao Pan, Peng Li, Ruibin Yuan, Xiaowei Chi, Mengfei Li, Wenhan Luo, Wei Xue, Shanghang Zhang, Qifeng Liu, Yike Guo

In addition, the lack of large-scale available datasets with emotional transition speech and corresponding 3D human gestures also limits the addressing of this task.

Audio inpainting Gesture Generation

Continual Learning with Dirichlet Generative-based Rehearsal

no code implementations13 Sep 2023 Min Zeng, Wei Xue, Qifeng Liu, Yike Guo

Recent advancements in data-driven task-oriented dialogue systems (ToDs) struggle with incremental learning due to computational constraints and time-consuming issues.

Continual Learning Incremental Learning +7

PUMGPT: A Large Vision-Language Model for Product Understanding

no code implementations18 Aug 2023 Wei Xue, Zongyi Guo, Baoliang Cui, Zheng Xing, Xiaoyi Zeng, Xiufei Wang, Shuhui Wu, Weiming Lu

E-commerce platforms benefit from accurate product understanding to enhance user experience and operational efficiency.

Attribute Attribute Extraction +5

ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate

3 code implementations14 Aug 2023 Chi-Min Chan, Weize Chen, Yusheng Su, Jianxuan Yu, Wei Xue, Shanghang Zhang, Jie Fu, Zhiyuan Liu

Text evaluation has historically posed significant challenges, often demanding substantial labor and time cost.

Text Generation

LyricWhiz: Robust Multilingual Zero-shot Lyrics Transcription by Whispering to ChatGPT

1 code implementation29 Jun 2023 Le Zhuo, Ruibin Yuan, Jiahao Pan, Yinghao Ma, Yizhi Li, Ge Zhang, Si Liu, Roger Dannenberg, Jie Fu, Chenghua Lin, Emmanouil Benetos, Wei Xue, Yike Guo

We introduce LyricWhiz, a robust, multilingual, and zero-shot automatic lyrics transcription method achieving state-of-the-art performance on various lyrics transcription datasets, even in challenging genres such as rock and metal.

Automatic Lyrics Transcription Language Modeling +4

ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation

2 code implementations7 Jun 2023 Jiaming Liu, Senqiao Yang, Peidong Jia, Renrui Zhang, Ming Lu, Yandong Guo, Wei Xue, Shanghang Zhang

Note that, our method can be regarded as a novel transfer paradigm for large-scale models, delivering promising results in adaptation to continually changing distributions.

Test-time Adaptation

NAS-FM: Neural Architecture Search for Tunable and Interpretable Sound Synthesis based on Frequency Modulation

no code implementations22 May 2023 Zhen Ye, Wei Xue, Xu Tan, Qifeng Liu, Yike Guo

Since expert knowledge is hard to acquire, it hinders the flexibility to quickly design and tune digital synthesizers for diverse sounds.

Neural Architecture Search

Insert or Attach: Taxonomy Completion via Box Embedding

1 code implementation18 May 2023 Wei Xue, Yongliang Shen, Wenqi Ren, Jietian Guo, ShiLiang Pu, Weiming Lu

Taxonomy completion, enriching existing taxonomies by inserting new concepts as parents or attaching them as children, has gained significant interest.

CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency Model

1 code implementation11 May 2023 Zhen Ye, Wei Xue, Xu Tan, Jie Chen, Qifeng Liu, Yike Guo

In this paper, we propose a "Co"nsistency "Mo"del-based "Speech" synthesis method, CoMoSpeech, which achieve speech synthesis through a single diffusion sampling step while achieving high audio quality.

Denoising Singing Voice Synthesis +3

RECIST Weakly Supervised Lesion Segmentation via Label-Space Co-Training

no code implementations1 Mar 2023 Lianyu Zhou, Dong Wei, Donghuan Lu, Wei Xue, Liansheng Wang, Yefeng Zheng

As an essential indicator for cancer progression and treatment response, tumor size is often measured following the response evaluation criteria in solid tumors (RECIST) guideline in CT slices.

Lesion Segmentation Weakly supervised segmentation

Pathway to Future Symbiotic Creativity

no code implementations18 Aug 2022 Yike Guo, Qifeng Liu, Jie Chen, Wei Xue, Jie Fu, Henrik Jensen, Fernando Rosas, Jeffrey Shaw, Xing Wu, Jiji Zhang, Jianliang Xu

This report presents a comprehensive view of our vision on the development path of the human-machine symbiotic art creation.

Philosophy

Efficient Climate Simulation via Machine Learning Method

no code implementations15 Aug 2022 Xin Wang, Wei Xue, Yilun Han, Guangwen Yang

We develop a user-friendly platform NeuroGCM for efficiently developing hybrid modeling in climate simulation.

Transferable Physical Attack against Object Detection with Separable Attention

no code implementations19 May 2022 Yu Zhang, Zhiqiang Gong, Yichuang Zhang, YongQian Li, Kangcheng Bin, Jiahao Qi, Wei Xue, Ping Zhong

Transferable adversarial attack is always in the spotlight since deep learning models have been demonstrated to be vulnerable to adversarial samples.

Adversarial Attack object-detection +1

Few-shot Object Detection with Self-adaptive Attention Network for Remote Sensing Images

no code implementations26 Sep 2020 Zixuan Xiao, Wei Xue, Ping Zhong

Particularly, in order to fit the object detection settings, our proposed few-shot detector concentrates on the relations that lie in the level of objects instead of the full image with the assistance of Self-Adaptive Attention Network (SAAN).

Few-Shot Object Detection Object +1

Neural Kalman Filtering for Speech Enhancement

no code implementations28 Jul 2020 Wei Xue, Gang Quan, Chao Zhang, Guohong Ding, Xiaodong He, BoWen Zhou

Statistical signal processing based speech enhancement methods adopt expert knowledge to design the statistical models and linear filters, which is complementary to the deep neural network (DNN) based methods which are data-driven.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Re-examining the Solar Axion Explanation for the XENON1T Excess

no code implementations25 Jun 2020 Christina Gao, Jia Liu, Lian-Tao Wang, Xiao-Ping Wang, Wei Xue, Yi-Ming Zhong

Meanwhile, they can also scatter with the atoms through the inverse Primakoff process via the axion-photon coupling, which emits a photon and mimics the electronic recoil signals.

High Energy Physics - Phenomenology High Energy Physics - Experiment

Aspect Based Sentiment Analysis with Gated Convolutional Networks

1 code implementation ACL 2018 Wei Xue, Tao Li

Aspect based sentiment analysis (ABSA) can provide more detailed information than general sentiment analysis, because it aims to predict the sentiment polarities of the given aspects or entities in text.

Aspect-Based Sentiment Analysis Aspect Category Sentiment Analysis

Serendipity in dark photon searches

1 code implementation15 Jan 2018 Philip Ilten, Yotam Soreq, Mike Williams, Wei Xue

Searches for dark photons provide serendipitous discovery potential for other types of vector particles.

High Energy Physics - Phenomenology High Energy Physics - Experiment

MTNA: A Neural Multi-task Model for Aspect Category Classification and Aspect Term Extraction On Restaurant Reviews

no code implementations IJCNLP 2017 Wei Xue, Wubai Zhou, Tao Li, Qing Wang

Online reviews are valuable resources not only for consumers to make decisions before purchase, but also for providers to get feedbacks for their services or commodities.

Aspect-Based Sentiment Analysis Extract Aspect +5

PBODL : Parallel Bayesian Online Deep Learning for Click-Through Rate Prediction in Tencent Advertising System

no code implementations4 Jul 2017 Xun Liu, Wei Xue, Lei Xiao, Bo Zhang

Then we extend the model family to a variety of bayesian online models with increasing feature embedding capabilities, such as Sparse-MLP, FM-MLP and FFM-MLP.

Click-Through Rate Prediction

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