no code implementations • EMNLP 2020 • Wenxuan Zhang, Yang Deng, Jing Ma, Wai Lam
Product-related question answering platforms nowadays are widely employed in many E-commerce sites, providing a convenient way for potential customers to address their concerns during online shopping.
no code implementations • Findings (EMNLP) 2021 • Zhiwei Yang, Jing Ma, Hechang Chen, Yunke Zhang, Yi Chang
Specifically, we first utilize a two-phase module to generate span representations by aggregating context information based on a bottom-up and top-down transformer network.
1 code implementation • 6 May 2024 • Bo wang, Jing Ma, Hongzhan Lin, Zhiwei Yang, Ruichao Yang, Yuan Tian, Yi Chang
To detect fake news from a sea of diverse, crowded and even competing narratives, in this paper, we propose a novel defense-based explainable fake news detection framework.
no code implementations • 2 May 2024 • Zhiyu Zoey Chen, Jing Ma, Xinlu Zhang, Nan Hao, An Yan, Armineh Nourbakhsh, Xianjun Yang, Julian McAuley, Linda Petzold, William Yang Wang
In the fast-evolving domain of artificial intelligence, large language models (LLMs) such as GPT-3 and GPT-4 are revolutionizing the landscapes of finance, healthcare, and law: domains characterized by their reliance on professional expertise, challenging data acquisition, high-stakes, and stringent regulatory compliance.
1 code implementation • 1 May 2024 • Hongzhan Lin, Zixin Chen, Ziyang Luo, Mingfei Cheng, Jing Ma, Guang Chen
Current methods for Multimodal Sarcasm Target Identification (MSTI) predominantly focus on superficial indicators in an end-to-end manner, overlooking the nuanced understanding of multimodal sarcasm conveyed through both the text and image.
1 code implementation • 15 Apr 2024 • Kaixin Li, Yuchen Tian, Qisheng Hu, Ziyang Luo, Jing Ma
Programming often involves converting detailed and complex specifications into code, a process during which developers typically utilize visual aids to more effectively convey concepts.
no code implementations • 2 Apr 2024 • Xiang Xiang, Zihan Zhang, Jing Ma, Yao Deng
Parkinson's Disease (PD) is the second most common neurodegenerative disorder.
1 code implementation • 24 Jan 2024 • Hongzhan Lin, Ziyang Luo, Wei Gao, Jing Ma, Bo wang, Ruichao Yang
Then we propose to fine-tune a small language model as the debate judge for harmfulness inference, to facilitate multimodal fusion between the harmfulness rationales and the intrinsic multimodal information within memes.
no code implementations • 11 Jan 2024 • Liangwei Yang, Hengrui Zhang, Zihe Song, Jiawei Zhang, Weizhi Zhang, Jing Ma, Philip S. Yu
This paper answers a fundamental question in artificial neural network (ANN) design: We do not need to build ANNs layer-by-layer sequentially to guarantee the Directed Acyclic Graph (DAG) property.
no code implementations • 3 Jan 2024 • Hongzhan Lin, Ziyang Luo, Bo wang, Ruichao Yang, Jing Ma
The exponential growth of social media has profoundly transformed how information is created, disseminated, and absorbed, exceeding any precedent in the digital age.
no code implementations • 19 Dec 2023 • Hui Wu, Yi Gan, Feng Yuan, Jing Ma, Wei Zhu, Yutao Xu, Hong Zhu, Yuhua Zhu, Xiaoli Liu, Jinghui Gu
A customized Scaled-Dot-Product-Attention kernel is designed to match our fusion policy based on the segment KV cache solution.
1 code implementation • 9 Dec 2023 • Hongzhan Lin, Ziyang Luo, Jing Ma, Long Chen
The age of social media is rife with memes.
1 code implementation • 25 Oct 2023 • Ruichao Yang, Wei Gao, Jing Ma, Hongzhan Lin, Zhiwei Yang
This model only requires bag-level labels for training but is capable of inferring both sentence-level misinformation and article-level veracity, aided by relevant social media conversations that are attentively contextualized with news sentences.
no code implementations • 28 Aug 2023 • Song Wang, Jing Ma, Lu Cheng, Jundong Li
These auxiliary sets contain several labeled training samples that can enhance the model performance regarding fairness in meta-test tasks, thereby allowing for the transfer of learned useful fairness-oriented knowledge to meta-test tasks.
1 code implementation • 18 Aug 2023 • Liangwei Yang, Zhiwei Liu, Chen Wang, Mingdai Yang, Xiaolong Liu, Jing Ma, Philip S. Yu
To address this issue, we propose a novel approach, graph-based alignment and uniformity (GraphAU), that explicitly considers high-order connectivities in the user-item bipartite graph.
no code implementations • 17 Jul 2023 • Jing Ma, Chen Chen, Anil Vullikanti, Ritwick Mishra, Gregory Madden, Daniel Borrajo, Jundong Li
In this paper, we study the problem of causal effect estimation with treatment entangled in a graph.
no code implementations • 17 Jul 2023 • Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li
A prerequisite for existing methods to achieve counterfactual fairness is the prior human knowledge of the causal model for the data.
2 code implementations • 14 Jun 2023 • Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, QIngwei Lin, Daxin Jiang
Moreover, our model even outperforms the largest closed LLMs, Anthropic's Claude and Google's Bard, on HumanEval and HumanEval+.
Ranked #3 on Code Generation on CodeContests (Test Set pass@1 metric)
1 code implementation • 5 Jun 2023 • Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li
But since sensitive features may also affect user interests in a fair manner (e. g., race on culture-based preferences), indiscriminately eliminating all the influences of sensitive features inevitably degenerate the recommendations quality and necessary diversities.
1 code implementation • 8 May 2023 • Ziyang Luo, Can Xu, Pu Zhao, Xiubo Geng, Chongyang Tao, Jing Ma, QIngwei Lin, Daxin Jiang
We demonstrate that our PKG framework can enhance the performance of "black-box" LLMs on a range of domain knowledge-intensive tasks that require factual (+7. 9%), tabular (+11. 9%), medical (+3. 0%), and multimodal (+8. 1%) knowledge.
no code implementations • 4 Apr 2023 • Hongzhan Lin, Jing Ma, Ruichao Yang, Zhiwei Yang, Mingfei Cheng
The truth is significantly hampered by massive rumors that spread along with breaking news or popular topics.
1 code implementation • 16 Feb 2023 • XIAOYU GUO, Jing Ma, Arkaitz Zubiaga
This paper describes the participation of our NUAA-QMUL-AIIT team in the Memotion 3 shared task on meme emotion analysis.
no code implementations • 16 Feb 2023 • XIAOYU GUO, Jing Ma, Arkaitz Zubiaga
Memes have gained popularity as a means to share visual ideas through the Internet and social media by mixing text, images and videos, often for humorous purposes.
1 code implementation • 6 Feb 2023 • Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwen Lin, Daxin Jiang
The conventional dense retrieval paradigm relies on encoding images and texts into dense representations using dual-stream encoders, however, it faces challenges with low retrieval speed in large-scale retrieval scenarios.
1 code implementation • 3 Jan 2023 • Yaochen Zhu, Jing Ma, Jundong Li
Traditional RSs estimate user interests and predict their future behaviors by utilizing correlations in the observational historical activities, their profiles, and the content of interacted items.
1 code implementation • ICCV 2023 • Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, QIngwei Lin, Daxin Jiang
To address this issue, we propose a novel sparse retrieval paradigm for ITR that exploits sparse representations in the vocabulary space for images and texts.
1 code implementation • 2 Dec 2022 • Hongzhan Lin, Pengyao Yi, Jing Ma, Haiyun Jiang, Ziyang Luo, Shuming Shi, Ruifang Liu
The spread of rumors along with breaking events seriously hinders the truth in the era of social media.
1 code implementation • 25 Nov 2022 • Yushun Dong, Song Wang, Jing Ma, Ninghao Liu, Jundong Li
In this paper, we study a novel problem of interpreting GNN unfairness through attributing it to the influence of training nodes.
no code implementations • 3 Nov 2022 • Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong, Xiaoqian Jiang
PATE combines an ensemble of "teacher models" trained on sensitive data and transfers the knowledge to a "student" model through the noisy aggregation of teachers' votes for labeling unlabeled public data which the student model will be trained on.
no code implementations • 16 Oct 2022 • Jing Ma, Ruocheng Guo, Saumitra Mishra, Aidong Zhang, Jundong Li
Counterfactual explanations promote explainability in machine learning models by answering the question "how should an input instance be perturbed to obtain a desired predicted label?".
1 code implementation • 10 Oct 2022 • Qiuchen Zhang, Hong kyu Lee, Jing Ma, Jian Lou, Carl Yang, Li Xiong
The key idea is to decouple the feature projection and message passing via a DP PageRank algorithm which learns the structure information and uses the top-$K$ neighbors determined by the PageRank for feature aggregation.
1 code implementation • COLING 2022 • Zhiwei Yang, Jing Ma, Hechang Chen, Hongzhan Lin, Ziyang Luo, Yi Chang
Existing fake news detection methods aim to classify a piece of news as true or false and provide veracity explanations, achieving remarkable performances.
no code implementations • 7 Jul 2022 • Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent Hecht, Jaime Teevan
Hypergraphs provide an effective abstraction for modeling multi-way group interactions among nodes, where each hyperedge can connect any number of nodes.
no code implementations • 21 May 2022 • Jing Ma, Xiang Xiang, Ke Wang, Yuchuan Wu, Yongbin Li
Black-Box Knowledge Distillation (B2KD) is a formulated problem for cloud-to-edge model compression with invisible data and models hosted on the server.
no code implementations • 24 Apr 2022 • Zheng Huang, Jing Ma, Yushun Dong, Natasha Zhang Foutz, Jundong Li
Noticeably, LBSNs have offered unparalleled access to abundant heterogeneous relational information about users and POIs (including user-user social relations, such as families or colleagues; and user-POI visiting relations).
2 code implementations • 21 Apr 2022 • Yushun Dong, Jing Ma, Song Wang, Chen Chen, Jundong Li
Recently, algorithmic fairness has been extensively studied in graph-based applications.
no code implementations • Findings (NAACL) 2022 • Ziyang Luo, Yadong Xi, Jing Ma, Zhiwei Yang, Xiaoxi Mao, Changjie Fan, Rongsheng Zhang
In contrast, Transformer Decoder with the causal attention masks is naturally sensitive to the word order.
1 code implementation • Findings (NAACL) 2022 • Hongzhan Lin, Jing Ma, Liangliang Chen, Zhiwei Yang, Mingfei Cheng, Guang Chen
Massive false rumors emerging along with breaking news or trending topics severely hinder the truth.
no code implementations • 6 Apr 2022 • Ruichao Yang, Jing Ma, Hongzhan Lin, Wei Gao
The diffusion of rumors on microblogs generally follows a propagation tree structure, that provides valuable clues on how an original message is transmitted and responded by users over time.
no code implementations • 14 Feb 2022 • Ziyang Luo, Zhipeng Hu, Yadong Xi, Rongsheng Zhang, Jing Ma
Different to these heavy-cost models, we introduce a lightweight image captioning framework (I-Tuning), which contains a small number of trainable parameters.
no code implementations • 30 Jan 2022 • Ziyang Luo, Yadong Xi, Rongsheng Zhang, Jing Ma
Before training the captioning models, an extra object detector is utilized to recognize the objects in the image at first.
1 code implementation • 10 Jan 2022 • Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li
In this framework, we generate counterfactuals corresponding to perturbations on each node's and their neighbors' sensitive attributes.
1 code implementation • 24 Nov 2021 • Xiang Xiang, Yuwen Tan, Qian Wan, Jing Ma
Such images form a new training set (i. e., support set) so that the incremental model is hoped to recognize a basenji (i. e., query) as a basenji next time.
no code implementations • 26 Oct 2021 • Yichen Zhou, Weidong Liu, Jing Ma, Xinghao Zhen, Yonggang Li
Further, to mitigate the impact of MMA, a defense strategy based on multi-index information active disturbance rejection control is proposed to improve the stability and anti-disturbance ability of the power system, which considers the impact factors of both mode damping and disturbance compensation.
1 code implementation • 13 Oct 2021 • Jiangshu Du, Yingtong Dou, Congying Xia, Limeng Cui, Jing Ma, Philip S. Yu
The COVID-19 pandemic poses a great threat to global public health.
no code implementations • EMNLP 2021 • Hongzhan Lin, Jing Ma, Mingfei Cheng, Zhiwei Yang, Liangliang Chen, Guang Chen
Rumors are rampant in the era of social media.
no code implementations • 29 Sep 2021 • Ziyang Luo, Yadong Xi, Jing Ma, Xiaoxi Mao, Changjie Fan
A common limitation of Transformer Encoder's self-attention mechanism is that it cannot automatically capture the information of word order, so one needs to feed the explicit position encodings into the target model.
no code implementations • 3 Sep 2021 • Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Sivasubramanium Bhavani, Joyce C. Ho
Tensor factorization has been proved as an efficient unsupervised learning approach for health data analysis, especially for computational phenotyping, where the high-dimensional Electronic Health Records (EHRs) with patients' history of medical procedures, medications, diagnosis, lab tests, etc., are converted to meaningful and interpretable medical concepts.
no code implementations • 22 Aug 2021 • Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Joyce C. Ho
Representation learning on static graph-structured data has shown a significant impact on many real-world applications.
no code implementations • 29 Jul 2021 • Jing Ma, Yiyang Sun, Junjie Liu, Huaxiong Huang, Xiaoshuang Zhou, Shixin Xu
The experimental results showed that the QIDNN model with 7 interactive features achieve the state-of-art accuracy $83. 25\%$.
1 code implementation • NeurIPS 2021 • Han Xie, Jing Ma, Li Xiong, Carl Yang
Federated learning has emerged as an important paradigm for training machine learning models in different domains.
1 code implementation • 29 May 2021 • Jing Ma, Yushun Dong, Zheng Huang, Daniel Mietchen, Jundong Li
Besides, as the confounders may be time-varying during COVID-19 (e. g., vigilance of residents changes in the course of the pandemic), it is even more difficult to capture them.
no code implementations • 29 May 2021 • Junjie Liu, Yiyang Sun, Jing Ma, Jiachen Tu, Yuhui Deng, Ping He, Huaxiong Huang, Xiaoshuang Zhou, Shixin Xu
Evaluation of the risk of getting stroke is important for the prevention and treatment of stroke in China.
2 code implementations • 24 Dec 2020 • Zhendong Chu, Jing Ma, Hongning Wang
Crowdsourcing provides a practical way to obtain large amounts of labeled data at a low cost.
Ranked #1 on Image Classification on LabelMe
no code implementations • COLING 2020 • Jing Ma, Wei Gao
Rumors are manufactured with no respect for accuracy, but can circulate quickly and widely by {``}word-of-post{''} through social media conversations.
1 code implementation • SEMEVAL 2020 • XIAOYU GUO, Jing Ma, Arkaitz Zubiaga
This paper describes our contribution to SemEval 2020 Task 8: Memotion Analysis.
no code implementations • 30 Jun 2020 • Liqiang Lin, Qingqing Jia, Zheng Cheng, Yanyan Jiang, Yanwen Guo, Jing Ma
The development of efficient models for predicting specific properties through machine learning is of great importance for the innovation of chemistry and material science.
Ranked #7 on Formation Energy on QM9
no code implementations • 21 Jun 2020 • Jing Ma, Qiuchen Zhang, Joyce C. Ho, Li Xiong
In this paper, we propose SkeTenSmooth, a novel tensor factorization framework that uses adaptive sampling to compress the tensor in a temporally streaming fashion and preserves the underlying global structure.
1 code implementation • 13 Mar 2020 • Wenxuan Zhang, Wai Lam, Yang Deng, Jing Ma
In this paper, we propose the Review-guided Answer Helpfulness Prediction (RAHP) model that not only considers the interactions between QA pairs but also investigates the opinion coherence between the answer and crowds' opinions reflected in the reviews, which is another important factor to identify helpful answers.
no code implementations • 26 Aug 2019 • Jing Ma, Qiuchen Zhang, Jian Lou, Joyce C. Ho, Li Xiong, Xiaoqian Jiang
We propose DPFact, a privacy-preserving collaborative tensor factorization method for computational phenotyping using EHR.
no code implementations • ACL 2019 • Jing Ma, Wei Gao, Shafiq Joty, Kam-Fai Wong
Claim verification is generally a task of verifying the veracity of a given claim, which is critical to many downstream applications.
1 code implementation • ACL 2018 • Jing Ma, Wei Gao, Kam-Fai Wong
Automatic rumor detection is technically very challenging.
no code implementations • SEMEVAL 2017 • Yufei Xie, Maoquan Wang, Jing Ma, Jian Jiang, Zhao Lu
In the main Subtask C, our primary submission was ranked fourth, with a MAP of 13. 48 and accuracy of 97. 08.
no code implementations • ACL 2017 • Jing Ma, Wei Gao, Kam-Fai Wong
How fake news goes viral via social media?