no code implementations • CCL 2021 • Qian Chen, Xiaoying Gao, Suge Wang, Xin Guo
“知识图谱问题生成任务是从给定的知识图谱中生成与其相关的问题。目前, 知识图谱问题生成模型主要使用基于RNN或Transformer对知识图谱子图进行编码, 但这种方式丢失了显式的图结构化信息, 在解码器中忽视了局部信息对节点的重要性。本文提出迭代信息传递图编码器来编码子图, 获取子图显式的图结构化信息, 此外, 我们还使用滑动窗口注意力机制提高RNN解码器, 提升子图局部信息对节点的重要度。从WQ和PQ数据集上的实验结果看, 我们提出的模型比KTG模型在BLEU4指标上分别高出2. 16和15. 44, 证明了该模型的有效性。”
1 code implementation • 14 Nov 2023 • Weixiang Yan, Haitian Liu, Yunkun Wang, Yunzhe Li, Qian Chen, Wen Wang, Tingyu Lin, Weishan Zhao, Li Zhu, Shuiguang Deng, Hari Sundaram
To bridge these gaps between existing benchmarks and expectations from practical applications, we introduce CodeScope, an execution-based, multilingual, multi-task, multi-dimensional evaluation benchmark for comprehensively gauging LLM capabilities on coding tasks.
no code implementations • 8 Nov 2023 • Qian Chen, Wen Wang, Qinglin Zhang, Siqi Zheng, Shiliang Zhang, Chong Deng, Yukun Ma, Hai Yu, Jiaqing Liu, Chong Zhang
Specifically, all these models utilize Loss Masking on the input speech tokens for the ASR task, which means that these models do not explicitly model the dependency between the speech tokens.
no code implementations • 6 Nov 2023 • Chuncheng Zhang, Yingjie Shi, Zheyi Yao, Xiubao Sui, Qian Chen
The role of the physical prior is to simplify the mapping relationship between the speckle pattern and the target image, thereby reducing the computational complexity.
no code implementations • 5 Nov 2023 • Qian Chen, Yiqiang Chen, Xinlong Jiang, Teng Zhang, Weiwei Dai, Wuliang Huang, Zhen Yan, Bo Ye
Model fusion is becoming a crucial component in the context of model-as-a-service scenarios, enabling the delivery of high-quality model services to local users.
1 code implementation • 18 Oct 2023 • Hai Yu, Chong Deng, Qinglin Zhang, Jiaqing Liu, Qian Chen, Wen Wang
Our approach improve $F_1$ of old SOTA by 3. 42 (73. 74 -> 77. 16) and reduces $P_k$ by 1. 11 points (15. 0 -> 13. 89) on WIKI-727K and achieves an average relative reduction of 4. 3% on $P_k$ on WikiSection.
no code implementations • 17 Oct 2023 • Xin Su, Yao Zhou, Zifei Shan, Qian Chen
Then we learn a semantic representation of MeKB for the cross-domain recommendation.
no code implementations • 13 Oct 2023 • Qian Chen, Zilong Wang, Jiaqi Hu, Haonan Yan, Jianying Zhou, Xiaodong Lin
Federated learning (FL) is becoming a major driving force behind machine learning as a service, where customers (clients) collaboratively benefit from shared local updates under the orchestration of the service provider (server).
no code implementations • 8 Oct 2023 • Yu Wang, Yihong Wang, Tong Liu, Xiubao Sui, Qian Chen
In this paper, we propose a novel Retinex-based method, called ITRE, which suppresses noise and artifacts from the origin of the model, prevents over-exposure throughout the enhancement process.
1 code implementation • 8 Oct 2023 • Weixiang Yan, Yuchen Tian, Yunzhe Li, Qian Chen, Wen Wang
To advance research on code translation and meet diverse requirements of real-world applications, we construct CodeTransOcean, a large-scale comprehensive benchmark that supports the largest variety of programming languages for code translation.
no code implementations • 7 Oct 2023 • JiaMing Wang, Zhihao Du, Qian Chen, Yunfei Chu, Zhifu Gao, Zerui Li, Kai Hu, Xiaohuan Zhou, Jin Xu, Ziyang Ma, Wen Wang, Siqi Zheng, Chang Zhou, Zhijie Yan, Shiliang Zhang
In this paper, we propose LauraGPT, a unified GPT model for audio recognition, understanding, and generation.
no code implementations • 3 Oct 2023 • Jorge Castillo, Phillip Rieger, Hossein Fereidooni, Qian Chen, Ahmad Sadeghi
Federated learning (FL) is a distributed learning process that uses a trusted aggregation server to allow multiple parties (or clients) to collaboratively train a machine learning model without having them share their private data.
no code implementations • 21 Sep 2023 • Shuang Zeng, Lei Zhu, Xinliang Zhang, Zifeng Tian, Qian Chen, Lujia Jin, Jiayi Wang, Yanye Lu
In this work, we propose a novel asymmetric contrastive learning framework named JCL for medical image segmentation with self-supervised pre-training.
no code implementations • 19 Sep 2023 • Ziyang Ma, Wen Wu, Zhisheng Zheng, Yiwei Guo, Qian Chen, Shiliang Zhang, Xie Chen
In this paper, we explored how to boost speech emotion recognition (SER) with the state-of-the-art speech pre-trained model (PTM), data2vec, text generation technique, GPT-4, and speech synthesis technique, Azure TTS.
no code implementations • 19 Sep 2023 • Luyao Cheng, Siqi Zheng, Qinglin Zhang, Hui Wang, Yafeng Chen, Qian Chen, Shiliang Zhang
Speaker diarization has gained considerable attention within speech processing research community.
no code implementations • 31 Aug 2023 • Wei-Jie Yan, Yun-Kai Xu, Qian Chen, Xiao-Fang Kong, Guo-Hua Gu, A-Jun Shao, Min-Jie Wan
Nowadays, infrared target tracking has been a critical technology in the field of computer vision and has many applications, such as motion analysis, pedestrian surveillance, intelligent detection, and so forth.
no code implementations • 9 Aug 2023 • Lei Zhu, Hangzhou He, Xinliang Zhang, Qian Chen, Shuang Zeng, Qiushi Ren, Yanye Lu
Existing methods adopt an online-trained classification branch to provide pseudo annotations for supervising the segmentation branch.
1 code implementation • 5 Aug 2023 • Yafeng Chen, Siqi Zheng, Hui Wang, Luyao Cheng, Qian Chen, Shiliang Zhang
It assigns representation of augmented views of utterances to the same prototypes as the representation of the original view, thereby enabling effective knowledge transfer between the views.
no code implementations • 14 Jul 2023 • Qian Chen, Wen Wang, Qinglin Zhang, Chong Deng, Ma Yukun, Siqi Zheng
Transformer-based pre-trained language models, such as BERT, achieve great success in various natural language understanding tasks.
no code implementations • 30 Jun 2023 • Yiqiang Chen, Teng Zhang, Xinlong Jiang, Qian Chen, Chenlong Gao, Wuliang Huang
The conflicting gradient projection technique is used to enhance the generalization of the large-scale general model between different tasks.
1 code implementation • 27 Jun 2023 • Siqi Zheng, Luyao Cheng, Yafeng Chen, Hui Wang, Qian Chen
Disentangling uncorrelated information in speech utterances is a crucial research topic within speech community.
no code implementations • 24 May 2023 • Linhan Zhang, Qian Chen, Wen Wang, Yuxin Jiang, Bing Li, Wei Wang, Xin Cao
In this paper, we carefully design a new task called Multiple Definition Modeling (MDM) that pool together all contexts and definition of target words.
no code implementations • 23 May 2023 • Yunzhe Li, Qian Chen, Weixiang Yan, Wen Wang, Qinglin Zhang, Hari Sundaram
To address this, we propose a novel explicit outline control method for more effective utilization of generated outlines.
no code implementations • 23 May 2023 • Yuhao Liang, Fan Yu, Yangze Li, Pengcheng Guo, Shiliang Zhang, Qian Chen, Lei Xie
The recently proposed serialized output training (SOT) simplifies multi-talker automatic speech recognition (ASR) by generating speaker transcriptions separated by a special token.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
no code implementations • 22 May 2023 • Luyao Cheng, Siqi Zheng, Zhang Qinglin, Hui Wang, Yafeng Chen, Qian Chen
In this paper, we propose methods to extract speaker-related information from semantic content in multi-party meetings, which, as we will show, can further benefit speaker diarization.
2 code implementations • 22 May 2023 • Yafeng Chen, Siqi Zheng, Hui Wang, Luyao Cheng, Qian Chen, Jiajun Qi
This paper proposes a novel architecture called Enhanced Res2Net (ERes2Net), which incorporates both local and global feature fusion techniques to improve the performance.
no code implementations • 21 May 2023 • Mohan Shi, Zhihao Du, Qian Chen, Fan Yu, Yangze Li, Shiliang Zhang, Jie Zhang, Li-Rong Dai
In addition, a two-pass decoding strategy is further proposed to fully leverage the contextual modeling ability resulting in a better recognition performance.
no code implementations • 21 May 2023 • Mohan Shi, Yuchun Shu, Lingyun Zuo, Qian Chen, Shiliang Zhang, Jie Zhang, Li-Rong Dai
For speech interaction, voice activity detection (VAD) is often used as a front-end.
1 code implementation • 18 May 2023 • Qian Chen, Wen Wang, Qinglin Zhang, Siqi Zheng, Chong Deng, Hai Yu, Jiaqing Liu, Yukun Ma, Chong Zhang
Prior studies diagnose the anisotropy problem in sentence representations from pre-trained language models, e. g., BERT, without fine-tuning.
no code implementations • 10 Apr 2023 • Tingting Liu, YuAn Liu, Chuncheng Zhang, Yuan Liyin, Xiubao Sui, Qian Chen
Moreover, to further improve the perceptual quality of HSI, a frequency loss(HFL) is introduced to optimize the model in the frequency domain.
1 code implementation • 6 Apr 2023 • Xincheng Yang, Mingze Jin, Weiji He, Qian Chen
Transformer-based models have significantly advanced natural language processing and computer vision in recent years.
no code implementations • 27 Mar 2023 • Jiaqing Liu, Chong Deng, Qinglin Zhang, Qian Chen, Wen Wang
We construct and release the first Chinese meeting corpus with manual action item annotations.
no code implementations • 24 Mar 2023 • Qinglin Zhang, Chong Deng, Jiaqing Liu, Hai Yu, Qian Chen, Wen Wang, Zhijie Yan, Jinglin Liu, Yi Ren, Zhou Zhao
ICASSP2023 General Meeting Understanding and Generation Challenge (MUG) focuses on prompting a wide range of spoken language processing (SLP) research on meeting transcripts, as SLP applications are critical to improve users' efficiency in grasping important information in meetings.
1 code implementation • 24 Mar 2023 • Qinglin Zhang, Chong Deng, Jiaqing Liu, Hai Yu, Qian Chen, Wen Wang, Zhijie Yan, Jinglin Liu, Yi Ren, Zhou Zhao
To prompt SLP advancement, we establish a large-scale general Meeting Understanding and Generation Benchmark (MUG) to benchmark the performance of a wide range of SLP tasks, including topic segmentation, topic-level and session-level extractive summarization and topic title generation, keyphrase extraction, and action item detection.
no code implementations • 7 Mar 2023 • Jinjie Ni, Yukun Ma, Wen Wang, Qian Chen, Dianwen Ng, Han Lei, Trung Hieu Nguyen, Chong Zhang, Bin Ma, Erik Cambria
Learning on a massive amount of speech corpus leads to the recent success of many self-supervised speech models.
no code implementations • 28 Feb 2023 • Linhan Zhang, Qian Chen, Wen Wang, Chong Deng, Xin Cao, Kongzhang Hao, Yuxin Jiang, Wei Wang
Experiments on the Semantic Textual Similarity benchmark (STS) show that WSBERT significantly improves sentence embeddings over BERT.
no code implementations • 18 Feb 2023 • Lujia Jin, Shi Zhao, Lei Zhu, Qian Chen, Yanye Lu
Therefore, it is necessary to avoid the restriction of clean labels and make full use of noisy data for model training.
no code implementations • 13 Feb 2023 • Jun Tao, Qian Chen, James W. Snyder Jr., Arava Sai Kumar, Amirhossein Meisami, Lingzhou Xue
Marketers employ various online advertising channels to reach customers, and they are particularly interested in attribution for measuring the degree to which individual touchpoints contribute to an eventual conversion.
1 code implementation • 16 Dec 2022 • Qian Yang, Qian Chen, Wen Wang, Baotian Hu, Min Zhang
Moreover, the pipelined approaches of retrieval and generation might result in poor generation performance when retrieval performance is low.
no code implementations • 14 Dec 2022 • Jinglin Liu, Zhenhui Ye, Qian Chen, Siqi Zheng, Wen Wang, Qinglin Zhang, Zhou Zhao
Recently, binaural audio synthesis (BAS) has emerged as a promising research field for its applications in augmented and virtual realities.
1 code implementation • 9 Dec 2022 • Shuliang Ning, Mengcheng Lan, Yanran Li, Chaofeng Chen, Qian Chen, Xunlai Chen, Xiaoguang Han, Shuguang Cui
The mainstream of the existing approaches for video prediction builds up their models based on a Single-In-Single-Out (SISO) architecture, which takes the current frame as input to predict the next frame in a recursive manner.
no code implementations • 30 Nov 2022 • Bo wang, Yihong Wang, Xiubao Sui, YuAn Liu, Qian Chen
Guided image filter is a well-known local filter in image processing.
no code implementations • 17 Nov 2022 • Andong Deng, Taojiannan Yang, Chen Chen, Qian Chen, Leslie Neely, Sakiko Oyama
In such cases, automatic recognition systems based on computer vision and machine learning (in particular deep learning) technology can alleviate this issue to a large extent.
1 code implementation • 8 Nov 2022 • Yafeng Chen, Siqi Zheng, Hui Wang, Luyao Cheng, Qian Chen
A range of experiments conducted on the VoxCeleb datasets demonstrate the superiority of the regularized DINO framework in speaker verification.
no code implementations • 1 Nov 2022 • Mohan Shi, Jie Zhang, Zhihao Du, Fan Yu, Qian Chen, Shiliang Zhang, Li-Rong Dai
Speaker-attributed automatic speech recognition (SA-ASR) in multi-party meeting scenarios is one of the most valuable and challenging ASR task.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
1 code implementation • 5 Sep 2022 • Qian Chen, Xingjian Dong, Guowei Tu, Dong Wang, Baoxuan Zhao, Zhike Peng
However, the CNN is a typical black-box model, and the mechanism of CNN's decision-making are not clear, which limits its application in high-reliability-required fault diagnosis scenarios.
1 code implementation • 16 Jul 2022 • Lei Zhu, Qian Chen, Lujia Jin, Yunfei You, Yanye Lu
Classification activation map (CAM), utilizing the classification structure to generate pixel-wise localization maps, is a crucial mechanism for weakly supervised object localization (WSOL).
1 code implementation • 30 Mar 2022 • Jiaao Zhan, Qian Chen, Boxing Chen, Wen Wang, Yu Bai, Yang Gao
We propose a novel and general Dependency-Aware Decoder (DePA) to enhance target dependency modeling in the decoder of fully NAT models from two perspectives: decoder self-attention and decoder input.
1 code implementation • CVPR 2022 • Lei Zhu, Qi She, Qian Chen, Yunfei You, Boyu Wang, Yanye Lu
To avoid this problem, this work provides a novel perspective that models WSOL as a domain adaption (DA) task, where the score estimator trained on the source/image domain is tested on the target/pixel domain to locate objects.
no code implementations • 16 Feb 2022 • Yi Ren, Ming Lei, Zhiying Huang, Shiliang Zhang, Qian Chen, Zhijie Yan, Zhou Zhao
Specifically, we first introduce a word-level prosody encoder, which quantizes the low-frequency band of the speech and compresses prosody attributes in the latent prosody vector (LPV).
1 code implementation • 29 Dec 2021 • Lei Zhu, Qi She, Qian Chen, Xiangxi Meng, Mufeng Geng, Lujia Jin, Zhe Jiang, Bin Qiu, Yunfei You, Yibao Zhang, Qiushi Ren, Yanye Lu
In our B-CAM, two image-level features, aggregated by pixel-level features of potential background and object locations, are used to purify the object feature from the object-related background and to represent the feature of the pure-background sample, respectively.
no code implementations • 17 Dec 2021 • Qian Chen, Haoxin Bai, Bingchen Che, Tianyun Zhao, Ce Zhang, Kaige Wang, Jintao Bai, Wei Zhao
To date, live-cell imaging at the nanometer scale remains challenging.
1 code implementation • Findings (ACL) 2022 • Linhan Zhang, Qian Chen, Wen Wang, Chong Deng, Shiliang Zhang, Bing Li, Wei Wang, Xin Cao
In this work, we propose a novel unsupervised embedding-based KPE approach, Masked Document Embedding Rank (MDERank), to address this problem by leveraging a mask strategy and ranking candidates by the similarity between embeddings of the source document and the masked document.
1 code implementation • ICLR 2022 • Chao-Hong Tan, Qian Chen, Wen Wang, Qinglin Zhang, Siqi Zheng, Zhen-Hua Ling
We propose a novel Pooling Network (PoNet) for token mixing in long sequences with linear complexity.
no code implementations • 9 Sep 2021 • Siqi Zheng, Shiliang Zhang, Weilong Huang, Qian Chen, Hongbin Suo, Ming Lei, Jinwei Feng, Zhijie Yan
We propose BeamTransformer, an efficient architecture to leverage beamformer's edge in spatial filtering and transformer's capability in context sequence modeling.
1 code implementation • 2 Aug 2021 • Zhen Li, Jing Tang, Deqing Zou, Qian Chen, Shouhuai Xu, Chao Zhang, Yichen Li, Hai Jin
Automatically detecting software vulnerabilities in source code is an important problem that has attracted much attention.
no code implementations • 21 Jul 2021 • Mengcheng Lan, Shuliang Ning, Yanran Li, Qian Chen, Xunlai Chen, Xiaoguang Han, Shuguang Cui
Despite video forecasting has been a widely explored topic in recent years, the mainstream of the existing work still limits their models with a single prediction space but completely neglects the way to leverage their model with multi-prediction spaces.
1 code implementation • 20 Jul 2021 • Qinglin Zhang, Qian Chen, YaLi Li, Jiaqing Liu, Wen Wang
Evaluations are conducted on the English Wiki-727K document segmentation benchmark, a Chinese Wikipedia-based document segmentation dataset we created, and an in-house Chinese spoken document dataset.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
no code implementations • NeurIPS 2021 • Zhuolin Yang, Linyi Li, Xiaojun Xu, Shiliang Zuo, Qian Chen, Pan Zhou, Benjamin I. P. Rubinstein, Ce Zhang, Bo Li
To answer these questions, in this work we first theoretically analyze and outline sufficient conditions for adversarial transferability between models; then propose a practical algorithm to reduce the transferability between base models within an ensemble to improve its robustness.
1 code implementation • 28 Apr 2021 • Yi Zhang, Geng Chen, Qian Chen, Yujia Sun, Yong Xia, Olivier Deforges, Wassim Hamidouche, Lu Zhang
We propose a novel Synergistic Attention Network (SA-Net) to address the light field salient object detection by establishing a synergistic effect between multi-modal features with advanced attention mechanisms.
no code implementations • 21 Apr 2021 • Qian Chen, Wen Wang, Mengzhe Chen, Qinglin Zhang
Punctuation prediction for automatic speech recognition (ASR) output transcripts plays a crucial role for improving the readability of the ASR transcripts and for improving the performance of downstream natural language processing applications.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
no code implementations • 21 Apr 2021 • Qian Chen, Wen Wang, Qinglin Zhang
In this paper, we propose a novel joint textual-phonetic pre-training approach for learning spoken language representations, aiming at exploring the full potentials of phonetic information to improve SLU robustness to ASR errors.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+5
1 code implementation • NeurIPS 2021 • Zhuolin Yang, Linyi Li, Xiaojun Xu, Shiliang Zuo, Qian Chen, Benjamin Rubinstein, Pan Zhou, Ce Zhang, Bo Li
To answer these questions, in this work we first theoretically analyze and outline sufficient conditions for adversarial transferability between models; then propose a practical algorithm to reduce the transferability between base models within an ensemble to improve its robustness.
1 code implementation • 25 Jan 2021 • Qian Chen, Ze Liu, Yi Zhang, Keren Fu, Qijun Zhao, Hongwei Du
The proposed model, named RD3D, aims at pre-fusion in the encoder stage and in-depth fusion in the decoder stage to effectively promote the full integration of RGB and depth streams.
no code implementations • 25 Nov 2020 • Qinyan Huang, Weiwen Zhou, Minjie Wan, Xin Chen, Qian Chen, Guohua Gu
Active contour model (ACM) is one of the most widely used image segmentation tools at present, but the existing methods only utilize the local or global single feature information of image to minimize the energy function, which is easy to cause false segmentations in IR images.
6 code implementations • 19 Nov 2020 • Xiao-Yang Liu, Hongyang Yang, Qian Chen, Runjia Zhang, Liuqing Yang, Bowen Xiao, Christina Dan Wang
In this paper, we introduce a DRL library FinRL that facilitates beginners to expose themselves to quantitative finance and to develop their own stock trading strategies.
1 code implementation • 4 Nov 2020 • Qian Chen, Keren Fu, Ze Liu, Geng Chen, Hongwei Du, Bensheng Qiu, LingShao
Finally, we propose an effective layer-wise aggregation module to fuse the features extracted from the enhanced depth maps and RGB images for the accurate detection of salient objects.
no code implementations • 11 Oct 2020 • Chao Ma, Guohua Gu, Xin Miao, Minjie Wan, Weixian Qian, Kan Ren, Qian Chen
Infrared target tracking plays an important role in both civil and military fields.
no code implementations • 3 Mar 2020 • Qian Chen, Mengzhe Chen, Bo Li, Wen Wang
With the increased applications of automatic speech recognition (ASR) in recent years, it is essential to automatically insert punctuation marks and remove disfluencies in transcripts, to improve the readability of the transcripts as well as the performance of subsequent applications, such as machine translation, dialogue systems, and so forth.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
1 code implementation • 3 Mar 2020 • Qian Chen, Wen Wang
The noetic end-to-end response selection challenge as one track in the 7th Dialog System Technology Challenges (DSTC7) aims to push the state of the art of utterance classification for real world goal-oriented dialog systems, for which participants need to select the correct next utterances from a set of candidates for the multi-turn context.
no code implementations • 3 Mar 2020 • Qian Chen, Zhu Zhuo, Wen Wang, Qiuyun Xu
We explore different transfer learning approaches to reduce dependency on data collection and annotation.
Spoken Language Understanding
Task-Oriented Dialogue Systems
+2
1 code implementation • 1 Jan 2020 • Yuntao Du, Zhiwen Tan, Qian Chen, Xiaowen Zhang, Yirong Yao, Chongjun Wang
Recent experiments have shown that when the discriminator is provided with domain information in both domains and label information in the source domain, it is able to preserve the complex multimodal information and high semantic information in both domains.
Ranked #4 on
Domain Adaptation
on ImageCLEF-DA
1 code implementation • 31 Dec 2019 • Yuntao Du, Zhiwen Tan, Qian Chen, Yi Zhang, Chongjun Wang
In this paper, we propose a novel online transfer learning method which seeks to find a new feature representation, so that the marginal distribution and conditional distribution discrepancy can be online reduced simultaneously.
3 code implementations • EMNLP 2020 • Boxin Wang, Hengzhi Pei, Boyuan Pan, Qian Chen, Shuohang Wang, Bo Li
In particular, we propose a tree-based autoencoder to embed the discrete text data into a continuous representation space, upon which we optimize the adversarial perturbation.
1 code implementation • 5 Nov 2019 • Zhuo Wang, Runlong Hu, Qian Chen, Pei Gao, Xiaowei Xu
Previous works use review network effects, i. e. the relationships among reviewers, reviews, and products, to detect fake reviews or review spammers, but ignore time effects, which are critical in characterizing group spamming.
no code implementations • 19 Aug 2019 • Zhi-Xiu Ye, Qian Chen, Wen Wang, Zhen-Hua Ling
We also observe that fine-tuned models after the proposed pre-training approach maintain comparable performance on other NLP tasks, such as sentence classification and natural language inference tasks, compared to the original BERT models.
Ranked #21 on
Common Sense Reasoning
on CommonsenseQA
no code implementations • 24 Jun 2019 • Yuan Yuan, Tracy Liu, Chenhao Tan, Qian Chen, Alex Pentland, Jie Tang
Using data on 36 million online red packet gifts on a large social site in East Asia, we leverage a natural experimental design to identify the social contagion of gift giving in online groups.
1 code implementation • 27 Apr 2019 • Tianda Li, Xiaodan Zhu, Quan Liu, Qian Chen, Zhigang Chen, Si Wei
Natural language inference (NLI) is among the most challenging tasks in natural language understanding.
1 code implementation • 12 Apr 2019 • Jiaji Li, Alex Matlock, Yunzhe Li, Qian Chen, Chao Zuo, Lei Tian
We demonstrate a label-free, scan-free {\it intensity} diffraction tomography technique utilizing annular illumination (aIDT) to rapidly characterize large-volume 3D refractive index distributions in vitro.
Optics Biological Physics
14 code implementations • 28 Feb 2019 • Qian Chen, Zhu Zhuo, Wen Wang
Intent classification and slot filling are two essential tasks for natural language understanding.
Ranked #3 on
Slot Filling
on ATIS
4 code implementations • 9 Jan 2019 • Qian Chen, Wen Wang
The noetic end-to-end response selection challenge as one track in Dialog System Technology Challenges 7 (DSTC7) aims to push the state of the art of utterance classification for real world goal-oriented dialog systems, for which participants need to select the correct next utterances from a set of candidates for the multi-turn context.
Ranked #1 on
Conversational Response Selection
on Advising Corpus
no code implementations • 12 Oct 2018 • Xiaodong Kuang, Xiubao Sui, Chengwei Liu, Yu-An Liu, Qian Chen, Guohua Gu
Transforming a thermal infrared image into a realistic RGB image is a challenging task.
no code implementations • 5 Jul 2018 • Chao Wang, Richard Gerlach, Qian Chen
One-day-ahead VaR and ES forecasting results favor the proposed models, especially when incorporating the sub-sampled Realized Variance and the sub-sampled Realized Range in the model.
1 code implementation • COLING 2018 • Qian Chen, Zhen-Hua Ling, Xiaodan Zhu
This paper explores generalized pooling methods to enhance sentence embedding.
Ranked #10 on
Sentiment Analysis
on Yelp Fine-grained classification
no code implementations • ICLR 2018 • Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Diana Inkpen
Modeling informal inference in natural language is very challenging.
no code implementations • 15 Nov 2017 • Yu-Ping Ruan, Qian Chen, Zhen-Hua Ling
The description layer utilizes modified LSTM units to process these chunk-level vectors in a recurrent manner and produces sequential encoding outputs.
1 code implementation • ACL 2018 • Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Diana Inkpen, Si Wei
With the availability of large annotated data, it has recently become feasible to train complex models such as neural-network-based inference models, which have shown to achieve the state-of-the-art performance.
Ranked #20 on
Natural Language Inference
on SNLI
no code implementations • 15 Sep 2017 • Huidong Dai, Weiji He, Guohua Gu, Ling Ye, Tianyi Mao, Qian Chen
The proposed multi-resolution photon counting 3D imaging technique acquires a high-resolution 3D image from a coarse image and edges at successfully finer resolution sampled by Hadamard multiplexing along the wavelet trees.
2 code implementations • WS 2017 • Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Si Wei, Hui Jiang, Diana Inkpen
The RepEval 2017 Shared Task aims to evaluate natural language understanding models for sentence representation, in which a sentence is represented as a fixed-length vector with neural networks and the quality of the representation is tested with a natural language inference task.
Ranked #71 on
Natural Language Inference
on SNLI
Natural Language Inference
Natural Language Understanding
+1
no code implementations • 31 May 2017 • Chao Zuo, Tianyang Tao, Shijie Feng, Lei Huang, Anand Asundi, Qian Chen
Recent advances in imaging sensors and digital light projection technology have facilitated a rapid progress in 3D optical sensing, enabling 3D surfaces of complex-shaped objects to be captured with improved resolution and accuracy.
no code implementations • 14 Mar 2017 • Junbei Zhang, Xiaodan Zhu, Qian Chen, Li-Rong Dai, Si Wei, Hui Jiang
The last several years have seen intensive interest in exploring neural-network-based models for machine comprehension (MC) and question answering (QA).
Ranked #39 on
Question Answering
on SQuAD1.1 dev
1 code implementation • 26 Oct 2016 • Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Si Wei, Hui Jiang
Distributed representation learned with neural networks has recently shown to be effective in modeling natural languages at fine granularities such as words, phrases, and even sentences.
11 code implementations • ACL 2017 • Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Si Wei, Hui Jiang, Diana Inkpen
Reasoning and inference are central to human and artificial intelligence.
Ranked #30 on
Natural Language Inference
on SNLI