no code implementations • Findings (EMNLP) 2021 • Jun Gao, YuHan Liu, Haolin Deng, Wei Wang, Yu Cao, Jiachen Du, Ruifeng Xu
The emotion cause is a stimulus for human emotions.
no code implementations • CCL 2020 • Wangda Luo, YuHan Liu, Bin Liang, Ruifeng Xu
针对问答立场任务中, 现有方法难以提取问答文本间的依赖关系问题, 本文提出一种基于循环交互注意力(Recurrent Interactive Attention, RIA)网络的问答立场分析方法。该方法通过模仿人类阅读理解时的思维方式, 基于交互注意力机制和循环迭代方法, 有效地从问题和答案的相互联系中挖掘问答文本的立场信息。此外, 该方法将问题进行陈述化表示, 有效地解决疑问句表述下问题文本无法明确表达自身立场的问题。实验结果表明, 本文方法取得了比现有模型方法更好的效果, 同时证明该方法能有效拟合问答立场分析任务中的问答对依赖关系。
no code implementations • 16 May 2024 • YuHan Liu, Roland Tóth, Maarten Schoukens
A new weighted regularization term is added to the cost function to penalize the difference between the state and output function of the baseline physics-based and final identified model.
no code implementations • 10 May 2024 • YuHan Liu, Ke Tu
This paper introduces the Structured Similarity Index Measure for Time Series (TS3IM), a novel approach inspired by the success of the Structural Similarity Index Measure (SSIM) in image analysis, tailored to address these limitations by assessing structural similarity in time series.
no code implementations • 28 Apr 2024 • YuHan Liu, Yongjian Deng, Hao Chen, Bochen Xie, Youfu Li, Zhen Yang
Moreover, given that event data can provide accurate visual references at scene edges between consecutive frames, we introduce a learned visibility map derived from event data to adaptively mitigate the occlusion problem in the warping refinement process.
no code implementations • 14 Mar 2024 • YuHan Liu, Xiuying Chen, Xiaoqing Zhang, Xing Gao, Ji Zhang, Rui Yan
Our simulation results uncover patterns in fake news propagation related to topic relevance, and individual traits, aligning with real-world observations.
no code implementations • 8 Mar 2024 • Zinan Zeng, Sen Ye, Zijian Cai, Heng Wang, YuHan Liu, Haokai Zhang, Minnan Luo
For instance, the metadata and the corresponding user's information of a review could be helpful.
no code implementations • 23 Jan 2024 • Hanchen Li, YuHan Liu, Yihua Cheng, Siddhant Ray, Kuntai Du, Junchen Jiang
To render each generated token in real time, the LLM server generates response tokens one by one and streams each generated token (or group of a few tokens) through the network to the user right after it is generated, which we refer to as LLM token streaming.
no code implementations • 16 Nov 2023 • YuHan Liu, Shangbin Feng, Xiaochuang Han, Vidhisha Balachandran, Chan Young Park, Sachin Kumar, Yulia Tsvetkov
In this work, we take a first step towards designing summarization systems that are faithful to the author's intent, not only the semantic content of the article.
no code implementations • 24 Oct 2023 • YuHan Liu, Pengyu Wang, Chang-Hun Lee, Roland Tóth
One major challenge for autonomous attitude takeover control for on-orbit servicing of spacecraft is that an accurate dynamic motion model of the combined vehicles is highly nonlinear, complex and often costly to identify online, which makes traditional model-based control impractical for this task.
1 code implementation • 11 Oct 2023 • YuHan Liu, Hanchen Li, Yihua Cheng, Siddhant Ray, YuYang Huang, Qizheng Zhang, Kuntai Du, Jiayi Yao, Shan Lu, Ganesh Ananthanarayanan, Michael Maire, Henry Hoffmann, Ari Holtzman, Junchen Jiang
Compared to the recent systems that reuse the KV cache, CacheGen reduces the KV cache size by 3. 5-4. 3x and the total delay in fetching and processing contexts by 3. 2-3. 7x while having negligible impact on the LLM response quality in accuracy or perplexity.
no code implementations • 7 Oct 2023 • YuHan Liu, Chengcheng Wan, Kuntai Du, Henry Hoffmann, Junchen Jiang, Shan Lu, Michael Maire
ML APIs have greatly relieved application developers of the burden to design and train their own neural network models -- classifying objects in an image can now be as simple as one line of Python code to call an API.
no code implementations • 3 Oct 2023 • Kuntai Du, YuHan Liu, Yitian Hao, Qizheng Zhang, Haodong Wang, YuYang Huang, Ganesh Ananthanarayanan, Junchen Jiang
While the high demand for network bandwidth and GPU resources could be substantially reduced by optimally adapting the configuration knobs, such as video resolution and frame rate, current adaptation techniques fail to meet three requirements simultaneously: adapt configurations (i) with minimum extra GPU or bandwidth overhead; (ii) to reach near-optimal decisions based on how the data affects the final DNN's accuracy, and (iii) do so for a range of configuration knobs.
1 code implementation • 2 Oct 2023 • Wenxuan Ding, Shangbin Feng, YuHan Liu, Zhaoxuan Tan, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov
We additionally propose two new approaches, Staged Prompting and Verify-All, to augment LLMs' ability to backtrack and verify structured constraints.
no code implementations • 21 May 2023 • Yihua Cheng, Ziyi Zhang, Hanchen Li, Anton Arapin, Yue Zhang, Qizheng Zhang, YuHan Liu, Xu Zhang, Francis Y. Yan, Amrita Mazumdar, Nick Feamster, Junchen Jiang
In real-time video communication, retransmitting lost packets over high-latency networks is not viable due to strict latency requirements.
1 code implementation • 15 May 2023 • Shangbin Feng, Chan Young Park, YuHan Liu, Yulia Tsvetkov
We focus on hate speech and misinformation detection, aiming to empirically quantify the effects of political (social, economic) biases in pretraining data on the fairness of high-stakes social-oriented tasks.
no code implementations • 11 Apr 2023 • Yixuan Liu, Suyun Zhao, Li Xiong, YuHan Liu, Hong Chen
In this work, a general framework (APES) is built up to strengthen model privacy under personalized local privacy by leveraging the privacy amplification effect of the shuffle model.
no code implementations • 20 Mar 2023 • YuHan Liu, Anna Fang, Glen Moriarty, Robert Kraut, Haiyi Zhu
Online mental health communities (OMHCs) are an effective and accessible channel to give and receive social support for individuals with mental and emotional issues.
no code implementations • 7 Nov 2022 • Jayadev Acharya, YuHan Liu, Ziteng Sun
Perhaps surprisingly, we show that in suitable parameter regimes, having $m$ samples per user is equivalent to having $m$ times more users, each with only one sample.
no code implementations • 7 Nov 2022 • YuHan Liu, Pengyu Wang, Roland Tóth
Gaussian process (GP) based estimation of system models is an effective tool to learn unknown dynamics directly from input/output data.
1 code implementation • 26 Sep 2022 • Pengzhi Yang, YuHan Liu, Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov
This paper proposes a method for learning continuous control policies for active landmark localization and exploration using an information-theoretic cost.
1 code implementation • 9 Jun 2022 • Shangbin Feng, Zhaoxuan Tan, Herun Wan, Ningnan Wang, Zilong Chen, Binchi Zhang, Qinghua Zheng, Wenqian Zhang, Zhenyu Lei, Shujie Yang, Xinshun Feng, Qingyue Zhang, Hongrui Wang, YuHan Liu, Yuyang Bai, Heng Wang, Zijian Cai, Yanbo Wang, Lijing Zheng, Zihan Ma, Jundong Li, Minnan Luo
Twitter bot detection has become an increasingly important task to combat misinformation, facilitate social media moderation, and preserve the integrity of the online discourse.
no code implementations • 7 Jun 2022 • YuHan Liu, Ananda Theertha Suresh, Wennan Zhu, Peter Kairouz, Marco Gruteser
In this scenario, the amount of noise injected into the histogram to obtain differential privacy is proportional to the maximum user contribution, which can be amplified by few outliers.
no code implementations • 6 Jun 2022 • Zhaolin Zhang, Mingqi Song, Wugang Meng, YuHan Liu, Fengcong Li, Xiang Feng, Yinan Zhao
First, this method decomposes and reconstructs the radar signal according to the difference in the reflected echo frequency between the limbs and the trunk of the human body.
1 code implementation • 7 May 2022 • YuHan Liu, Jun Gao, Jiachen Du, Lanjun Zhou, Ruifeng Xu
The emotion-aware dialogue management contains two parts: (1) Emotion state tracking maintains the current emotion state of the user and (2) Empathetic dialogue policy selection predicts a target emotion and a user's intent based on the results of the emotion state tracking.
no code implementations • 22 Dec 2021 • YuHan Liu, Roland Tóth
In this paper, we present a novel Dual Gaussian Process (DGP) based model predictive control strategy that improves the performance of a quadcopter during trajectory tracking.
no code implementations • NeurIPS 2021 • Jayadev Acharya, Clement Canonne, YuHan Liu, Ziteng Sun, Himanshu Tyagi
We obtain tight minimax rates for the problem of distributed estimation of discrete distributions under communication constraints, where $n$ users observing $m $ samples each can broadcast only $\ell$ bits.
no code implementations • 15 Oct 2021 • Ryan Jacobs, Mingren Shen, YuHan Liu, Wei Hao, Xiaoshan Li, Ruoyu He, Jacob RC Greaves, Donglin Wang, Zeming Xie, Zitong Huang, Chao Wang, Kevin G. Field, Dane Morgan
In this work, we perform semantic segmentation of multiple defect types in electron microscopy images of irradiated FeCrAl alloys using a deep learning Mask Regional Convolutional Neural Network (Mask R-CNN) model.
no code implementations • 19 Aug 2021 • Mingren Shen, Guanzhao Li, Dongxia Wu, YuHan Liu, Jacob Greaves, Wei Hao, Nathaniel J. Krakauer, Leah Krudy, Jacob Perez, Varun Sreenivasan, Bryan Sanchez, Oigimer Torres, Wei Li, Kevin Field, Dane Morgan
Electron microscopy is widely used to explore defects in crystal structures, but human detecting of defects is often time-consuming, error-prone, and unreliable, and is not scalable to large numbers of images or real-time analysis.
no code implementations • CVPR 2021 • Zhengqin Li, Ting-Wei Yu, Shen Sang, Sarah Wang, Meng Song, YuHan Liu, Yu-Ying Yeh, Rui Zhu, Nitesh Gundavarapu, Jia Shi, Sai Bi, Hong-Xing Yu, Zexiang Xu, Kalyan Sunkavalli, Milos Hasan, Ravi Ramamoorthi, Manmohan Chandraker
Finally, we demonstrate that our framework may also be integrated with physics engines, to create virtual robotics environments with unique ground truth such as friction coefficients and correspondence to real scenes.
no code implementations • 3 May 2021 • YuHan Liu, Yuhan Gao, Zhifan Nan, Long Chen
During the COVID-19 pandemic, people started to discuss about pandemic-related topics on social media.
1 code implementation • 2 Feb 2021 • YuHan Liu, Saurabh Agarwal, Shivaram Venkataraman
With the rapid adoption of machine learning (ML), a number of domains now use the approach of fine tuning models which were pre-trained on a large corpus of data.
no code implementations • 18 Jan 2021 • Arjun Balasubramanian, Adarsh Kumar, YuHan Liu, Han Cao, Shivaram Venkataraman, Aditya Akella
We present the design of GATI, an end-to-end prediction serving system that incorporates learned caches for low-latency DNN inference.
no code implementations • 30 Oct 2020 • Jayadev Acharya, Peter Kairouz, YuHan Liu, Ziteng Sun
We consider the problem of estimating sparse discrete distributions under local differential privacy (LDP) and communication constraints.
no code implementations • 14 Oct 2020 • Yunhai Han, YuHan Liu, David Paz, Henrik Christensen
Calibration of sensors is fundamental to robust performance for intelligent vehicles.
no code implementations • NeurIPS 2020 • Yuhan Liu, Ananda Theertha Suresh, Felix Yu, Sanjiv Kumar, Michael Riley
If each user has $m$ samples, we show that straightforward applications of Laplace or Gaussian mechanisms require the number of users to be $\mathcal{O}(k/(m\alpha^2) + k/\epsilon\alpha)$ to achieve an $\ell_1$ distance of $\alpha$ between the true and estimated distributions, with the privacy-induced penalty $k/\epsilon\alpha$ independent of the number of samples per user $m$.
no code implementations • 25 Jul 2020 • Zhengqin Li, Ting-Wei Yu, Shen Sang, Sarah Wang, Meng Song, YuHan Liu, Yu-Ying Yeh, Rui Zhu, Nitesh Gundavarapu, Jia Shi, Sai Bi, Zexiang Xu, Hong-Xing Yu, Kalyan Sunkavalli, Miloš Hašan, Ravi Ramamoorthi, Manmohan Chandraker
Finally, we demonstrate that our framework may also be integrated with physics engines, to create virtual robotics environments with unique ground truth such as friction coefficients and correspondence to real scenes.
no code implementations • 3 Dec 2018 • Ching Hua Lee, Guangjie Li, YuHan Liu, Tommy Tai, Ronny Thomale, Xiao Zhang
Non-Hermitian nodal knot metals (NKMs) contains intricate complex-valued energy bands gives rise to knotted exceptional loops and new topological surface states.
Mesoscale and Nanoscale Physics Materials Science Other Condensed Matter Mathematical Physics Mathematical Physics Quantum Physics
1 code implementation • 24 Mar 2018 • Yuhan Liu, Xiao Zhang, Maciej Lewenstein, Shi-Ju Ran
In this work, we implement simple numerical experiments, related to pattern/images classification, in which we represent the classifiers by many-qubit quantum states written in the matrix product states (MPS).