no code implementations • ECCV 2020 • Tianyi Zhang, Guosheng Lin, Weide Liu, Jianfei Cai, Alex Kot
Finally, by training the segmentation model with the masks generated by our Splitting vs Merging strategy, we achieve the state-of-the-art weakly-supervised segmentation results on the Pascal VOC 2012 benchmark.
no code implementations • 9 Jun 2025 • Weilei Wen, Tianyi Zhang, Qianqian Zhao, Zhaohui Zheng, Chunle Guo, Xiuli Shao, Chongyi Li
Experimental results demonstrate significant improvements in texture realism and reconstruction fidelity compared to existing methods.
1 code implementation • 7 Jun 2025 • Qianqian Zhao, Chunle Guo, Tianyi Zhang, Junpei Zhang, Peiyang Jia, Tan Su, Wenjie Jiang, Chongyi Li
This paper presents a systematic review of recent progress in omnidirectional image and video super-resolution, focusing on deep learning-based methods.
1 code implementation • 5 Jun 2025 • Tianyi Zhang, Shidong Pan, Zejun Zhang, Zhenchang Xing, Xiaoyu Sun
Our evaluation reveals that state-of-the-art LLMs initially performed poorly, with Claude-3. 5 and Claude-3. 7 achieving only 30. 2% and 26. 8% deployment success on the first attempt respectively.
no code implementations • 30 May 2025 • Gen Luo, Ganlin Yang, Ziyang Gong, Guanzhou Chen, Haonan Duan, Erfei Cui, Ronglei Tong, Zhi Hou, Tianyi Zhang, Zhe Chen, Shenglong Ye, Lewei Lu, Jingbo Wang, Wenhai Wang, Jifeng Dai, Yu Qiao, Rongrong Ji, Xizhou Zhu
In VeBrain-600k, we take hundreds of hours to collect, curate and annotate the data, and adopt multimodal chain-of-thought(CoT) to mix the different capabilities into a single conversation.
no code implementations • 30 May 2025 • Haozhan Tang, Tianyi Zhang, Matthew Johnson-Roberson, Weiming Zhi
Bi-JCR enables multiple robot manipulators, each with cameras mounted, to circumvent taking images of calibration markers.
no code implementations • 29 May 2025 • Hongxiang Zhang, Hao Chen, Tianyi Zhang, Muhao Chen
Recent decoding methods improve the factuality of large language models~(LLMs) by refining how the next token is selected during generation.
no code implementations • 25 May 2025 • Weiming Zhi, Ziyong Ma, Tianyi Zhang, Matthew Johnson-Roberson
Here, we tackle the problem of constructing a policy model for collision-free motion generation, consistent with the environment, from a single input RGB image.
no code implementations • 18 May 2025 • Feihong Zhang, Guojian Zhan, Bin Shuai, Tianyi Zhang, Jingliang Duan, Shengbo Eben Li
Reinforcement learning (RL), known for its self-evolution capability, offers a promising approach to training high-level autonomous driving systems.
1 code implementation • 12 May 2025 • Yifeng Di, Tianyi Zhang
Large Language Models (LLMs) have demonstrated unprecedented capability in code generation.
no code implementations • 16 Apr 2025 • Chao Yuan, Tianyi Zhang, Guanglin Niu
Existing methods usually improve feature representation by improving model architecture, but most methods ignore the potential contextual information, which limits the effectiveness of feature representation and retrieval performance.
1 code implementation • 15 Apr 2025 • Tianyi Zhang, Yang Sui, Shaochen Zhong, Vipin Chaudhary, Xia Hu, Anshumali Shrivastava
To facilitate efficient inference with dynamic-length encodings, we develop a custom GPU kernel for fast online decompression.
no code implementations • 14 Apr 2025 • Jingyun Yang, Ruoyan Avery Yin, Chi Jiang, Yuepeng Hu, Xiaokai Zhu, Xingjian Hu, Sutharsika Kumar, Xiao Wang, Xiaohua Zhai, Keran Rong, Yunyue Zhu, Tianyi Zhang, Zongyou Yin, Jing Kong, Neil Zhenqiang Gong, Zhichu Ren, Haozhe Wang
This work represents the implementation of foundation models to achieve autonomous analysis, establishing a scalable and data-efficient characterization paradigm that fundamentally transforms the approach to nanoscale materials research.
1 code implementation • 4 Apr 2025 • Haozhan Tang, Tianyi Zhang, Oliver Kroemer, Matthew Johnson-Roberson, Weiming Zhi
These advances do not translate directly to performance in the physical 3D world, where they often over-segment objects and fail to produce consistent mask correspondences across views.
1 code implementation • 25 Mar 2025 • Zhi Hou, Tianyi Zhang, Yuwen Xiong, Haonan Duan, Hengjun Pu, Ronglei Tong, Chengyang Zhao, Xizhou Zhu, Yu Qiao, Jifeng Dai, Yuntao Chen
While recent vision-language-action models trained on diverse robot datasets exhibit promising generalization capabilities with limited in-domain data, their reliance on compact action heads to predict discretized or continuous actions constrains adaptability to heterogeneous action spaces.
Ranked #3 on
Robot Manipulation
on SimplerEnv-Google Robot
(using extra training data)
no code implementations • 21 Mar 2025 • Yiwen Xu, Monideep Chakraborti, Tianyi Zhang, Katelyn Eng, Aanchan Mohan, Mirjana Prpa
The findings highlight the priorities and needs of AAC users and the system's ability to enhance user expressivity by supporting more personalized and contextually relevant communication.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
1 code implementation • 20 Mar 2025 • Yang Sui, Yu-Neng Chuang, Guanchu Wang, Jiamu Zhang, Tianyi Zhang, Jiayi Yuan, Hongyi Liu, Andrew Wen, Shaochen Zhong, Hanjie Chen, Xia Hu
Large Language Models (LLMs) have demonstrated remarkable capabilities in complex tasks.
no code implementations • 13 Mar 2025 • Chang Han Low, Ziyue Wang, Tianyi Zhang, Zhitao Zeng, Zhu Zhuo, Evangelos B. Mazomenos, Yueming Jin
Integration of Vision-Language Models (VLMs) in surgical intelligence is hindered by hallucinations, domain knowledge gaps, and limited understanding of task interdependencies within surgical scenes, undermining clinical reliability.
no code implementations • 9 Mar 2025 • Tianyi Zhang, Weiming Zhi, Joshua Mangelson, Matthew Johnson-Roberson
Off-the-shelf generative models, trained on Internet-scale data but not on specialized underwater images, exhibit downgraded realism, as images of the seafloor are relatively uncommon.
1 code implementation • 8 Mar 2025 • Xiaohao Xu, Feng Xue, Xiang Li, Haowei Li, Shusheng Yang, Tianyi Zhang, Matthew Johnson-Roberson, Xiaonan Huang
Depth ambiguity is a fundamental challenge in spatial scene understanding, especially in transparent scenes where single-depth estimates fail to capture full 3D structure.
no code implementations • 5 Mar 2025 • Sicheng Chen, Tianyi Zhang, Dankai Liao, Dandan Li, Low Chang Han, Yanqin Jiang, Yueming Jin, Shangqing Lyu
Lastly, we hinge multi-task learning to enable modeling on versatile tasks simultaneously, improving training efficiency, and asynchronous structure design to draw an effective conclusion on all tiles during inference, enhancing inference performance.
1 code implementation • CVPR 2025 • Chao Yuan, Guiwei Zhang, Changxiao Ma, Tianyi Zhang, Guanglin Niu
Considering that features from the same identity follow a normal distribution around identity centers after training, we propose a Training-Free Feature Centralization ReID framework (Pose2ID) by aggregating the same identity features to reduce individual noise and enhance the stability of identity representation, which preserves the feature's original distribution for following strategies such as re-ranking.
Ranked #1 on
Cross-Modal Person Re-Identification
on SYSU-MM01
no code implementations • 1 Mar 2025 • Wenjie Qiu, Yi-Chen Li, Xuqin Zhang, Tianyi Zhang, Yihang Zhang, Zongzhang Zhang, Yang Yu
By segmenting the complete response into sentences and applying differential operations to reward output at the start and end positions of each sentence, we can effectively model the rewards of sentences.
no code implementations • 23 Feb 2025 • Hongzhe Cheng, Tianyou Zheng, Tianyi Zhang, Matthew Johnson-Roberson, Weiming Zhi
Out-of-Distribution(OOD) detection, a fundamental machine learning task aimed at identifying abnormal samples, traditionally requires model retraining for different inlier distributions.
Out-of-Distribution Detection
Out of Distribution (OOD) Detection
no code implementations • 21 Feb 2025 • Yuan Tian, Daniel Lee, Fei Wu, Tung Mai, Kun Qian, Siddhartha Sahai, Tianyi Zhang, Yunyao Li
Text-to-SQL models, which parse natural language (NL) questions to executable SQL queries, are increasingly adopted in real-world applications.
no code implementations • 21 Feb 2025 • Tianyou Jiang, Mingshun Shao, Tianyi Zhang, Xiaoyu Liu, Qun Yu
Automatic counting soybean pods and seeds in outdoor fields allows for rapid yield estimation before harvesting, while indoor laboratory counting offers greater accuracy.
no code implementations • 18 Feb 2025 • Tianyi Zhang, WengYu Zhang, Xulu Zhang, Jiaxin Wu, Xiao-Yong Wei, Jiannong Cao, Qing Li
Accurate human localization is crucial for various applications, especially in the Metaverse era.
1 code implementation • 4 Feb 2025 • Yan Li, Tianyi Zhang, Zechuan Li, Soyeon Caren Han
To address this, we propose Greedy Attention Logit Interpolation (GALI), a training-free length extrapolation method that maximizes the utilization of pretrained positional intervals while avoiding attention logit outliers through attention logit interpolation.
Ranked #1 on
Long-Context Understanding
on L-Eval
no code implementations • 24 Jan 2025 • Bingzheng Gan, Yufan Zhao, Tianyi Zhang, Jing Huang, Yusu Li, Shu Xian Teo, Changwang Zhang, Wei Shi
Firstly, MCTS is effective for tasks like the Game of Go, where simulation results can yield objective rewards (e. g., 1 for a win and 0 for a loss).
1 code implementation • 24 Jan 2025 • Xiaohao Xu, Tianyi Zhang, Shibo Zhao, Xiang Li, Sibo Wang, Yongqi Chen, Ye Li, Bhiksha Raj, Matthew Johnson-Roberson, Sebastian Scherer, Xiaonan Huang
We aim to redefine robust ego-motion estimation and photorealistic 3D reconstruction by addressing a critical limitation: the reliance on noise-free data in existing models.
1 code implementation • 13 Jan 2025 • Tianyi Zhang, Linrong Cai, Jeffrey Li, Nicholas Roberts, Neel Guha, Jinoh Lee, Frederic Sala
Weak supervision (WS) is a popular approach for label-efficient learning, leveraging diverse sources of noisy but inexpensive weak labels to automatically annotate training data.
no code implementations • 17 Dec 2024 • Bin Dou, Baokun Wang, Yun Zhu, Xiaotong LIN, Yike Xu, Xiaorui Huang, Yang Chen, Yun Liu, Shaoshuai Han, Yongchao Liu, Tianyi Zhang, Yu Cheng, Weiqiang Wang, Chuntao Hong
User targeting, the process of selecting targeted users from a pool of candidates for non-expert marketers, has garnered substantial attention with the advancements in digital marketing.
no code implementations • 3 Dec 2024 • Donghao Yang, Aolang Wu, Tianyi Zhang, Li Zhang, Fang Liu, Xiaoli Lian, Yuming Ren, Jiaji Tian
In order to verify and improve the quality of the generated code, we designed an adaptable code checker.
no code implementations • 13 Nov 2024 • Yuelin Zhang, Long Lei, Wanquan Yan, Tianyi Zhang, Raymond Shing-Yan Tang, Shing Shin Cheng
In this paper, a Mamba-based US needle tracker MambaXCTrack utilizing structured state space models cross-correlation (SSMX-Corr) and implicit motion prompt is proposed, which is the first application of Mamba in US needle tracking.
no code implementations • 11 Nov 2024 • Sheng Tian, Xintan Zeng, Yifei Hu, Baokun Wang, Yongchao Liu, Yue Jin, Changhua Meng, Chuntao Hong, Tianyi Zhang, Weiqiang Wang
Graph-based patterns are extensively employed and favored by practitioners within industrial companies due to their capacity to represent the behavioral attributes and topological relationships among users, thereby offering enhanced interpretability in comparison to black-box models commonly utilized for classification and recognition tasks.
1 code implementation • 7 Nov 2024 • Tianyi Zhang, Miu Kojima, Simon D'Alfonso
Smartphones, equipped with an array of sensors, have become valuable tools for personal sensing.
no code implementations • 31 Oct 2024 • Tianyi Zhang, Baoxin Li, Jae-sun Seo, Yu Cao
In recent years, the long-range attention mechanism of vision transformers has driven significant performance breakthroughs across various computer vision tasks.
1 code implementation • 21 Oct 2024 • Zhi Hou, Tianyi Zhang, Yuwen Xiong, Hengjun Pu, Chengyang Zhao, Ronglei Tong, Yu Qiao, Jifeng Dai, Yuntao Chen
In contrast, we model the continuous action sequence with a large multi-modal diffusion transformer, dubbed as Diffusion Transformer Policy, in which we directly denoise action chunks by a large transformer model rather than a small action head for action embedding.
no code implementations • 21 Oct 2024 • Wenhan Cao, Tianyi Zhang, Zeju Sun, Chang Liu, Stephen S. -T. Yau, Shengbo Eben Li
Practical Bayes filters often assume the state distribution of each time step to be Gaussian for computational tractability, resulting in the so-called Gaussian filters.
no code implementations • 20 Oct 2024 • Yi Ren, Hanzhi Zhang, Weibin Li, Jun Fu, Diandong Liu, Tianyi Zhang, Jie He, Licheng Jiao
In tests on 30 videos of facial paralysis patients, the system demonstrated a grading accuracy of 83. 3%. The second component is the generation of professional medical responses.
1 code implementation • 17 Oct 2024 • Tianyi Zhang, Atta Norouzian, Aanchan Mohan, Frederick Ducatelle
One of the most accurate approaches for out-of-scope (OOS) rejection is to combine it with the task of intent classification on in-scope queries, and to use methods based on the similarity of embeddings produced by transformer-based sentence encoders.
no code implementations • 13 Oct 2024 • Nan Jiang, Qi Li, Lin Tan, Tianyi Zhang
Despite their success, large language models (LLMs) face the critical challenge of hallucinations, generating plausible but incorrect content.
no code implementations • 8 Oct 2024 • Tianyi Zhang, Junda Su, Oscar Wu, Zhaozhuo Xu, Anshumali Shrivastava
In response to these known limitations, we propose SpaLLM (Sketched Parameter Adaptation of LLMs), a novel compressive adaptation approach for LLMs.
no code implementations • 8 Oct 2024 • Xinyi Liu, Tianyi Zhang, Matthew Johnson-Roberson, Weiming Zhi
These regions are then projected to the camera's view as it moves over time and a cost is constructed.
no code implementations • 7 Oct 2024 • Ziwen Yuan, Tianyi Zhang, Matthew Johnson-Roberson, Weiming Zhi
Advances in photorealistic environment models have enabled robots to develop hyper-realistic reconstructions, which can be used to generate images that are intuitive for human inspection.
1 code implementation • 3 Oct 2024 • Weixi Tong, Tianyi Zhang
This paper presents CodeJudge, a code evaluation framework that leverages LLMs to evaluate the semantic correctness of generated code without the need for test cases.
no code implementations • 29 Sep 2024 • Shaohui Liu, Yidan Gao, Tianyi Zhang, Rémi Pautrat, Johannes L. Schönberger, Viktor Larsson, Marc Pollefeys
In this work, we introduce an incremental SfM system that, in addition to points, leverages lines and their structured geometric relations.
no code implementations • 27 Sep 2024 • Yi Ren, Tianyi Zhang, Weibin Li, DuoMu Zhou, Chenhao Qin, FangCheng Dong
Next, we randomly selected 250 events from each heat level, totalling 1, 000 events, to build the evaluation dataset.
no code implementations • 26 Sep 2024 • Quanting Xie, So Yeon Min, Pengliang Ji, Yue Yang, Tianyi Zhang, Kedi Xu, Aarav Bajaj, Ruslan Salakhutdinov, Matthew Johnson-Roberson, Yonatan Bisk
There is no limit to how much a robot might explore and learn, but all of that knowledge needs to be searchable and actionable.
no code implementations • 24 Sep 2024 • Fuxian Huang, Qi Zhang, Shaopeng Zhai, Jie Wang, Tianyi Zhang, Haoran Zhang, Ming Zhou, Yu Liu, Yu Qiao
Then, we deploy contrastive learning to train the CLSP encoder to effectively represent precise state information.
no code implementations • 22 Sep 2024 • Minghai Lu, Benjamin Delaware, Tianyi Zhang
Our results show that PALM significantly outperforms other state-of-the-art approaches, successfully proving 76. 6% to 180. 4% more theorems.
1 code implementation • 10 Sep 2024 • Yuan Tian, Jonathan K. Kummerfeld, Toby Jia-Jun Li, Tianyi Zhang
Though recent advances in machine learning have led to significant improvements in natural language interfaces for databases, the accuracy and reliability of these systems remain limited, especially in high-stakes domains.
no code implementations • 23 Aug 2024 • Songyan Teng, Tianyi Zhang, Simon D'Alfonso, Vassilis Kostakos
We employed linear regression, zero-shot, and multi-shot prompting using a large language model (LLM) to analyse relationships between screen text and affective states.
1 code implementation • 17 Aug 2024 • Yuan Tian, Tianyi Zhang
To mitigate this issue, we propose Selective Prompt Anchoring (SPA) to guide code LLMs to pay more attention to user intent when generating code.
no code implementations • 30 Jul 2024 • Tianyi Zhang, WengYu Zhang, Xulu Zhang, Jiaxin Wu, Xiao-Yong Wei, Jiannong Cao, Qing Li
Accurate human localization is crucial for various applications, especially in the Metaverse era.
1 code implementation • 16 Jul 2024 • Wei zhang, Bin Zhou, Tianyi Zhang, Yi Jiang, Zhiyong Bu
Reconfigurable intelligent surface (RIS) technology has emerged in recent years as a promising solution to the ever-increasing demand for wireless communication capacity.
no code implementations • 14 Jul 2024 • Tianyi Zhang, Weiming Zhi, Kaining Huang, Joshua Mangelson, Corina Barbalata, Matthew Johnson-Roberson
Water caustics are commonly observed in seafloor imaging data from shallow-water areas.
no code implementations • 14 Jul 2024 • Tianyi Zhang, Anshumali Shrivastava
Large language models (LLMs) have numerous applications across various domains, but their high computational and memory demands pose significant deployment challenges.
no code implementations • 14 Jul 2024 • Weiming Zhi, Haozhan Tang, Tianyi Zhang, Matthew Johnson-Roberson
We empirically evaluate our approach on a robot manipulator holding a diverse set of real-world objects.
no code implementations • 11 Jul 2024 • Tianyi Zhang, Songyan Teng, Hong Jia, Simon D'Alfonso
Our findings reveal that LLMs can make promising predictions of affect measures using solely smartphone sensing data.
1 code implementation • 24 Jun 2024 • Xiaohao Xu, Tianyi Zhang, Sibo Wang, Xiang Li, Yongqi Chen, Ye Li, Bhiksha Raj, Matthew Johnson-Roberson, Xiaonan Huang
Embodied agents require robust navigation systems to operate in unstructured environments, making the robustness of Simultaneous Localization and Mapping (SLAM) models critical to embodied agent autonomy.
no code implementations • 21 Jun 2024 • Aditya Desai, Gaurav Gupta, Tianyi Zhang, Anshumali Shrivastava
The standard recipe is to cast the gene search problem as a sequence of membership problems testing if each subsequent gene substring (called kmer) of Q is present in the set of kmers of the entire gene database D. We observe that RH functions, which are crucial to the memory and the computational advantage of BF, are also detrimental to the system performance of gene-search systems.
no code implementations • 14 Jun 2024 • Akshat Dave, Tianyi Zhang, Aaron Young, Ramesh Raskar, Wolfgang Heidrich, Ashok Veeraraghavan
We develop an experimental multi-axis polariscope setup to capture 3D photoelasticity and experimentally demonstrate that NeST reconstructs the internal stress distribution for objects with varying shape and force conditions.
no code implementations • 3 Jun 2024 • Shiqi Liu, Wenhan Cao, Chang Liu, Tianyi Zhang, Shengbo Eben Li
Incorporating this operation into the widely used unscented Kalman filter (UKF) in commonly adopted tracking algorithms, we derive a variant of the UKF that is robust to outliers, called the convolutional UKF (ConvUKF).
no code implementations • 2 Jun 2024 • Tianyi Zhang, Matthew Dutson, Vivek Boominathan, Mohit Gupta, Ashok Veeraraghavan
To the best of our knowledge, our approach is the first to achieve online, real-time image reconstruction on QIS.
1 code implementation • 30 May 2024 • Li Zhang, Peter Jansen, Tianyi Zhang, Peter Clark, Chris Callison-Burch, Niket Tandon
A recent, promising line of work uses LLMs to generate a formal representation of the environment that can be solved by a symbolic planner.
1 code implementation • 28 May 2024 • Xiaohao Xu, Ye Li, Tianyi Zhang, Jinrong Yang, Matthew Johnson-Roberson, Xiaonan Huang
Constructing large-scale labeled datasets for multi-modal perception model training in autonomous driving presents significant challenges.
no code implementations • 7 May 2024 • Tianyi Zhang, Jonah Yi, Zhaozhuo Xu, Anshumali Shrivastava
We observe that distinct channels of a key/value activation embedding are highly inter-dependent, and the joint entropy of multiple channels grows at a slower rate than the sum of their marginal entropies.
no code implementations • 17 Apr 2024 • Weiming Zhi, Haozhan Tang, Tianyi Zhang, Matthew Johnson-Roberson
We demonstrate that JCR can build effective scene representations using a low-cost RGB camera attached to a manipulator, without prior calibration.
no code implementations • 11 Apr 2024 • Derek Jacoby, Tianyi Zhang, Aanchan Mohan, Yvonne Coady
We also provide some examples of utterances and the impacts of this information loss on the quality of LLM response in the context of an avatar that is currently under development.
1 code implementation • 16 Mar 2024 • Tianyi Zhang, Kaining Huang, Weiming Zhi, Matthew Johnson-Roberson
Humans have the remarkable ability to construct consistent mental models of an environment, even under limited or varying levels of illumination.
1 code implementation • 6 Mar 2024 • Zhijie Wang, Yuheng Huang, Da Song, Lei Ma, Tianyi Zhang
However, prompting remains challenging for novice users due to the complexity of the stable diffusion model and the non-trivial efforts required for iteratively editing and refining the text prompts.
1 code implementation • 2 Mar 2024 • Tianyi Zhang, Jonah Wonkyu Yi, Bowen Yao, Zhaozhuo Xu, Anshumali Shrivastava
Large language model inference on Central Processing Units (CPU) is challenging due to the vast quantities of expensive Multiply-Add (MAD) matrix operations in the attention computations.
no code implementations • 29 Feb 2024 • Tianyi Zhang, Li Zhang, Zhaoyi Hou, Ziyu Wang, Yuling Gu, Peter Clark, Chris Callison-Burch, Niket Tandon
Planning in a text-based environment continues to be a major challenge for AI systems.
1 code implementation • 29 Feb 2024 • Tianyi Zhang, Yu Cao, Dianbo Liu
Federated learning (FL), aimed at leveraging vast distributed datasets, confronts a crucial challenge: the heterogeneity of data across different silos.
no code implementations • 29 Feb 2024 • Jianyu Guan, Zongming Yin, Tianyi Zhang, Leihui Chen, Yin Zhang, Fei Huang, Jufeng Chen, Shuguang Han
In the end, the extracted common knowledge is adopted for target entity model training.
1 code implementation • 12 Feb 2024 • Xiaohao Xu, Tianyi Zhang, Sibo Wang, Xiang Li, Yongqi Chen, Ye Li, Bhiksha Raj, Matthew Johnson-Roberson, Xiaonan Huang
To this end, we propose a novel, customizable pipeline for noisy data synthesis, aimed at assessing the resilience of multi-modal SLAM models against various perturbations.
no code implementations • 28 Dec 2023 • Tianyi Zhang, Haoteng Yin, Rongzhe Wei, Pan Li, Anshumali Shrivastava
We further show that any type of neighborhood overlap-based heuristic can be estimated by a neural network that takes Bloom signatures as input.
1 code implementation • 27 Dec 2023 • Xiawei Li, Qingyuan Xu, Jing Zhang, Tianyi Zhang, Qian Yu, Lu Sheng, Dong Xu
The point affinity proposed in this paper is characterized by features from multiple modalities (e. g., point cloud and RGB), and is further refined by normalizing the classifier weights to alleviate the detrimental effects of long-tailed distribution without the need of the prior of category distribution.
1 code implementation • CVPR 2024 • Lu Ling, Yichen Sheng, Zhi Tu, Wentian Zhao, Cheng Xin, Kun Wan, Lantao Yu, Qianyu Guo, Zixun Yu, Yawen Lu, Xuanmao Li, Xingpeng Sun, Rohan Ashok, Aniruddha Mukherjee, Hao Kang, Xiangrui Kong, Gang Hua, Tianyi Zhang, Bedrich Benes, Aniket Bera
We have witnessed significant progress in deep learning-based 3D vision, ranging from neural radiance field (NeRF) based 3D representation learning to applications in novel view synthesis (NVS).
no code implementations • 14 Dec 2023 • Yafei Hu, Quanting Xie, Vidhi Jain, Jonathan Francis, Jay Patrikar, Nikhil Keetha, Seungchan Kim, Yaqi Xie, Tianyi Zhang, Hao-Shu Fang, Shibo Zhao, Shayegan Omidshafiei, Dong-Ki Kim, Ali-akbar Agha-mohammadi, Katia Sycara, Matthew Johnson-Roberson, Dhruv Batra, Xiaolong Wang, Sebastian Scherer, Chen Wang, Zsolt Kira, Fei Xia, Yonatan Bisk
Motivated by the impressive open-set performance and content generation capabilities of web-scale, large-capacity pre-trained models (i. e., foundation models) in research fields such as Natural Language Processing (NLP) and Computer Vision (CV), we devote this survey to exploring (i) how these existing foundation models from NLP and CV can be applied to the field of general-purpose robotics, and also exploring (ii) what a robotics-specific foundation model would look like.
1 code implementation • 13 Dec 2023 • Xulu Zhang, Xiao-Yong Wei, Jinlin Wu, Tianyi Zhang, Zhaoxiang Zhang, Zhen Lei, Qing Li
It stems from the fact that during inversion, the irrelevant semantics in the user images are also encoded, forcing the inverted concepts to occupy locations far from the core distribution in the embedding space.
no code implementations • 12 Dec 2023 • Shaopeng Zhai, Jie Wang, Tianyi Zhang, Fuxian Huang, Qi Zhang, Ming Zhou, Jing Hou, Yu Qiao, Yu Liu
Building embodied agents on integrating Large Language Models (LLMs) and Reinforcement Learning (RL) have revolutionized human-AI interaction: researchers can now leverage language instructions to plan decision-making for open-ended tasks.
1 code implementation • 10 Dec 2023 • Tianyi Zhang, Kishore Kasichainula, Yaoxin Zhuo, Baoxin Li, Jae-sun Seo, Yu Cao
Conventional super-resolution methods suffer from two drawbacks: substantial computational cost in upscaling an entire large image, and the introduction of extraneous or potentially detrimental information for downstream computer vision tasks during the refinement of the background.
no code implementations • 7 Dec 2023 • Xuelin Zhu, Jiuxin Cao, Jian Liu, Dongqi Tang, Furong Xu, Weijia Liu, Jiawei Ge, Bo Liu, Qingpei Guo, Tianyi Zhang
Pre-trained vision-language models have notably accelerated progress of open-world concept recognition.
2 code implementations • 21 Nov 2023 • Zeyu Liu, Tianyi Zhang, Yufang He, Yunlu Feng, Yu Zhao, Guanglei Zhang
Deep learning is widely applied in computer-aided pathological diagnosis, which alleviates the pathologist workload and provide timely clinical analysis.
1 code implementation • 12 Nov 2023 • Tianyi Zhang, Shangqing Lyu, Yanli Lei, Sicheng Chen, Nan Ying, Yufang He, Yu Zhao, Yunlu Feng, Hwee Kuan Lee, Guanglei Zhang
Pathological image analysis is a crucial field in computer vision.
1 code implementation • 3 Nov 2023 • Tianyi Zhang, Kishore Kasichainula, Yaoxin Zhuo, Baoxin Li, Jae-sun Seo, Yu Cao
Early object detection (OD) is a crucial task for the safety of many dynamic systems.
no code implementations • 31 Oct 2023 • Ruofan Wu, Mingyang Zhang, Lingjuan Lyu, Xiaolong Xu, Xiuquan Hao, Xinyi Fu, Tengfei Liu, Tianyi Zhang, Weiqiang Wang
The paradigm of vertical federated learning (VFL), where institutions collaboratively train machine learning models via combining each other's local feature or label information, has achieved great success in applications to financial risk management (FRM).
1 code implementation • 27 Oct 2023 • Nan Ying, Yanli Lei, Tianyi Zhang, Shangqing Lyu, Chunhui Li, Sicheng Chen, Zeyu Liu, Yu Zhao, Guanglei Zhang
This paper presents the comprehensive pathological image analysis (CPIA) dataset, a large-scale SSL pre-training dataset combining 103 open-source datasets with extensive standardization.
no code implementations • 17 Oct 2023 • Jiawang Dan, Ruofan Wu, Yunpeng Liu, Baokun Wang, Changhua Meng, Tengfei Liu, Tianyi Zhang, Ningtao Wang, Xing Fu, Qi Li, Weiqiang Wang
Recently, the idea of designing neural models on graphs using the theory of graph kernels has emerged as a more transparent as well as sometimes more expressive alternative to MPNNs known as kernel graph neural networks (KGNNs).
1 code implementation • 5 Oct 2023 • HaiTao Yu, Deheng Zhang, Peiyuan Xie, Tianyi Zhang
This paper proposes a novel controllable human motion synthesis method for fine-level deformation based on static point-based radiance fields.
no code implementations • 19 Sep 2023 • Weiming Zhi, Tianyi Zhang, Matthew Johnson-Roberson
In this work, we tackle the problem of teaching a robot to approach a surface and then follow cyclic motion on it, where the cycle of the motion can be arbitrarily specified by a single user-provided sketch over an image from the robot's camera.
1 code implementation • 18 Sep 2023 • Quanting Xie, Tianyi Zhang, Kedi Xu, Matthew Johnson-Roberson, Yonatan Bisk
We introduce a new task OUTDOOR, a new mechanism for Large Language Models (LLMs) to accurately hallucinate possible futures, and a new computationally aware success metric for pushing research forward in this more complex domain.
no code implementations • 18 Sep 2023 • Qiying Pan, Ruofan Wu, Tengfei Liu, Tianyi Zhang, Yifei Zhu, Weiqiang Wang
Federated training of Graph Neural Networks (GNN) has become popular in recent years due to its ability to perform graph-related tasks under data isolation scenarios while preserving data privacy.
no code implementations • 7 Sep 2023 • Weiming Zhi, Tianyi Zhang, Matthew Johnson-Roberson
Diagrammatic Teaching aims to teach robots novel skills by prompting the user to sketch out demonstration trajectories on 2D images of the scene, these are then synthesised as a generative model of motion trajectories in 3D task space.
no code implementations • 25 Aug 2023 • Tianyi Zhang, Zheng Wang, Jing Huang, Mohiuddin Muhammad Tasnim, Wei Shi
Fortunately, the availability of open-source stable diffusion models and their underlying mathematical principles has enabled the academic community to extensively analyze the performance of current image generation models and make improvements based on this stable diffusion framework.
1 code implementation • 21 Aug 2023 • Tai Nguyen, Yifeng Di, Joohan Lee, Muhao Chen, Tianyi Zhang
Recognizing software entities such as library names from free-form text is essential to enable many software engineering (SE) technologies, such as traceability link recovery, automated documentation, and API recommendation.
no code implementations • 4 Aug 2023 • Samia Kabir, David N. Udo-Imeh, Bonan Kou, Tianyi Zhang
Despite this popularity, no comprehensive study has been conducted to evaluate the characteristics of ChatGPT's answers to programming questions.
no code implementations • 19 Jul 2023 • Zhengliang Liu, Zihao Wu, Mengxuan Hu, Bokai Zhao, Lin Zhao, Tianyi Zhang, Haixing Dai, Xianyan Chen, Ye Shen, Sheng Li, Quanzheng Li, Xiang Li, Brian Murray, Tianming Liu, Andrea Sikora
In this study, we introduce PharmacyGPT, a novel framework to assess the capabilities of large language models (LLMs) such as ChatGPT and GPT-4 in emulating the role of clinical pharmacists.
1 code implementation • 18 Jun 2023 • Yifeng Wang, Zhi Tu, Yiwen Xiang, Shiyuan Zhou, Xiyuan Chen, Bingxuan Li, Tianyi Zhang
To address this challenge, we propose a neuro-symbolic approach called Rapid, which infers image labeling rules from a small amount of labeled data provided by domain experts and automatically labels unannotated data using the rules.
1 code implementation • 12 Jun 2023 • Jonas Wallat, Tianyi Zhang, Avishek Anand
To foster reproducibility, the code, as well as the data used in this paper, are openly available.
1 code implementation • 2 Jun 2023 • Bonan Kou, Shengmai Chen, Zhijie Wang, Lei Ma, Tianyi Zhang
Large Language Models (LLMs) have recently been widely used for code generation.
1 code implementation • 23 May 2023 • Sheng Tian, Jihai Dong, Jintang Li, Wenlong Zhao, Xiaolong Xu, Baokun Wang, Bowen Song, Changhua Meng, Tianyi Zhang, Liang Chen
Anomaly detection aims to distinguish abnormal instances that deviate significantly from the majority of benign ones.
2 code implementations • NeurIPS 2023 • Yann Dubois, Xuechen Li, Rohan Taori, Tianyi Zhang, Ishaan Gulrajani, Jimmy Ba, Carlos Guestrin, Percy Liang, Tatsunori B. Hashimoto
As a demonstration of the research possible in AlpacaFarm, we find that methods that use a reward model can substantially improve over supervised fine-tuning and that our reference PPO implementation leads to a +10% improvement in win-rate against Davinci003.
1 code implementation • 12 May 2023 • Yuan Tian, Zheng Zhang, Zheng Ning, Toby Jia-Jun Li, Jonathan K. Kummerfeld, Tianyi Zhang
Many techniques have been proposed to automatically generate SQL from natural language, but they suffer from two issues: (1) they still make many mistakes, particularly for complex queries, and (2) they do not provide a flexible way for non-expert users to validate and refine incorrect queries.
2 code implementations • 19 Apr 2023 • Nelson F. Liu, Tianyi Zhang, Percy Liang
Generative search engines directly generate responses to user queries, along with in-line citations.
no code implementations • 18 Apr 2023 • Jiasheng Xu, Tianyi Zhang, Yangqian Wu, Jie Yang, Guang-Zhong Yang, Yun Gu
Endobronchial intervention is increasingly used as a minimally invasive means for the treatment of pulmonary diseases.
1 code implementation • 6 Apr 2023 • Tianyi Zhang, Matthew Johnson-Roberson
The proposed technique integrates underwater light effects into a volume rendering framework with end-to-end differentiability.
1 code implementation • 2 Mar 2023 • Da Song, Zhijie Wang, Yuheng Huang, Lei Ma, Tianyi Zhang
In this work, we propose DeepLens, an interactive system that helps users detect and explore OOD issues in massive text corpora.
1 code implementation • 2 Mar 2023 • Zhijie Wang, Yuheng Huang, Da Song, Lei Ma, Tianyi Zhang
The core of DeepSeer is a state abstraction method that bundles semantically similar hidden states in an RNN model and abstracts the model as a finite state machine.
no code implementations • 25 Feb 2023 • Tianyi Zhang, Isaac Tham, Zhaoyi Hou, Jiaxuan Ren, Liyang Zhou, Hainiu Xu, Li Zhang, Lara J. Martin, Rotem Dror, Sha Li, Heng Ji, Martha Palmer, Susan Brown, Reece Suchocki, Chris Callison-Burch
Schema induction builds a graph representation explaining how events unfold in a scenario.
1 code implementation • 10 Feb 2023 • Hrishikesh Viswanath, Tianyi Zhang
Recent studies have demonstrated that large pretrained language models (LLMs) such as BERT and GPT-2 exhibit biases in token prediction, often inherited from the data distributions present in their training corpora.
no code implementations • 4 Feb 2023 • Ruofan Wu, Boqun Ma, Hong Jin, Wenlong Zhao, Weiqiang Wang, Tianyi Zhang
The application of graph representation learning techniques to the area of financial risk management (FRM) has attracted significant attention recently.
1 code implementation • 2 Feb 2023 • Krzysztof Choromanski, Arijit Sehanobish, Han Lin, Yunfan Zhao, Eli Berger, Tetiana Parshakova, Alvin Pan, David Watkins, Tianyi Zhang, Valerii Likhosherstov, Somnath Basu Roy Chowdhury, Avinava Dubey, Deepali Jain, Tamas Sarlos, Snigdha Chaturvedi, Adrian Weller
We present two new classes of algorithms for efficient field integration on graphs encoding point clouds.
1 code implementation • 31 Jan 2023 • Tianyi Zhang, Faisal Ladhak, Esin Durmus, Percy Liang, Kathleen McKeown, Tatsunori B. Hashimoto
Large language models (LLMs) have shown promise for automatic summarization but the reasons behind their successes are poorly understood.
1 code implementation • 27 Jan 2023 • Tianyi Zhang, Zhiling Yan, Chunhui Li, Nan Ying, Yanli Lei, Yunlu Feng, Yu Zhao, Guanglei Zhang
In pathology image analysis, obtaining and maintaining high-quality annotated samples is an extremely labor-intensive task.
1 code implementation • 9 Dec 2022 • IAn Huang, Panos Achlioptas, Tianyi Zhang, Sergey Tulyakov, Minhyuk Sung, Leonidas Guibas
Additionally, to measure edit locality, we define a new metric that we call part-wise edit precision.
1 code implementation • 29 Nov 2022 • Tianyi Zhang, Tao Yu, Tatsunori B. Hashimoto, Mike Lewis, Wen-tau Yih, Daniel Fried, Sida I. Wang
Sampling diverse programs from a code language model and reranking with model likelihood is a popular method for code generation but it is prone to preferring degenerate solutions.
Ranked #34 on
Code Generation
on MBPP
2 code implementations • 18 Nov 2022 • Yuhang Lai, Chengxi Li, Yiming Wang, Tianyi Zhang, Ruiqi Zhong, Luke Zettlemoyer, Scott Wen-tau Yih, Daniel Fried, Sida Wang, Tao Yu
We introduce DS-1000, a code generation benchmark with a thousand data science problems spanning seven Python libraries, such as NumPy and Pandas.
3 code implementations • 16 Nov 2022 • Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D. Manning, Christopher Ré, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel Orr, Lucia Zheng, Mert Yuksekgonul, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda
We present Holistic Evaluation of Language Models (HELM) to improve the transparency of language models.
no code implementations • COLING (CreativeSumm) 2022 • Divyansh Agarwal, Alexander R. Fabbri, Simeng Han, Wojciech Kryściński, Faisal Ladhak, Bryan Li, Kathleen McKeown, Dragomir Radev, Tianyi Zhang, Sam Wiseman
We detail the process of curating these datasets for the task, as well as the metrics used for the evaluation of the submissions.
1 code implementation • 14 Aug 2022 • Tianyi Zhang, Youdan Feng, Yunlu Feng, Yu Zhao, Yanli Lei, Nan Ying, Zhiling Yan, Yufang He, Guanglei Zhang
The rapid on-site evaluation (ROSE) technique can signifi-cantly accelerate the diagnosis of pancreatic cancer by im-mediately analyzing the fast-stained cytopathological images.
1 code implementation • 4 Jul 2022 • Yuting Tang, Nan Lu, Tianyi Zhang, Masashi Sugiyama
Recent years have witnessed a great success of supervised deep learning, where predictive models were trained from a large amount of fully labeled data.
no code implementations • 7 Jun 2022 • Tianyi Zhang, Youdan Feng, Yunlu Feng, Guanglei Zhang
Computer-aided diagnosis (CAD) using the deep learning method has the potential to solve the problem of insufficient pathology staffing.
1 code implementation • 2 Jun 2022 • Binhang Yuan, Yongjun He, Jared Quincy Davis, Tianyi Zhang, Tri Dao, Beidi Chen, Percy Liang, Christopher Re, Ce Zhang
Our key technical contribution is a scheduling algorithm that allocates different computational "tasklets" in the training of foundation models to a group of decentralized GPU devices connected by a slow heterogeneous network.
1 code implementation • 23 May 2022 • Tianyi Zhang, Mina Lee, Lisa Li, Ende Shen, Tatsunori B. Hashimoto
While pretrained language models (PLMs) have greatly improved text generation, they have also been known to produce unfaithful or inappropriate content.
no code implementations • 14 Feb 2022 • Yi Jiang, Tianyi Zhang, Wei zhang
Owing to the same layered form as an ANN, a MNN can also be optimized using the back-propagation (BP) algorithm.
1 code implementation • 27 Dec 2021 • Tianyi Zhang, Yunlu Feng, Yu Zhao, Guangda Fan, Aiming Yang, Shangqin Lyu, Peng Zhang, Fan Song, Chenbin Ma, Yangyang Sun, Youdan Feng, Guanglei Zhang
Pancreatic cancer is one of the most malignant cancers in the world, which deteriorates rapidly with very high mortality.
no code implementations • 19 Dec 2021 • Nan Lu, Tianyi Zhang, Tongtong Fang, Takeshi Teshima, Masashi Sugiyama
A key assumption in supervised learning is that training and test data follow the same probability distribution.
1 code implementation • 10 Dec 2021 • Tianyi Zhang, Shirui Zhang, Ziwei Chen, Dianbo Liu
Federated machine learning is a versatile and flexible tool to utilize distributed data from different sources, especially when communication technology develops rapidly and an unprecedented amount of data could be collected on mobile devices nowadays.
1 code implementation • 9 Sep 2021 • Tianyi Zhang, Matthew Johnson-Roberson
Robot localization remains a challenging task in GPS denied environments.
2 code implementations • 16 Aug 2021 • Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri Chatterji, Annie Chen, Kathleen Creel, Jared Quincy Davis, Dora Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark Krass, Ranjay Krishna, Rohith Kuditipudi, Ananya Kumar, Faisal Ladhak, Mina Lee, Tony Lee, Jure Leskovec, Isabelle Levent, Xiang Lisa Li, Xuechen Li, Tengyu Ma, Ali Malik, Christopher D. Manning, Suvir Mirchandani, Eric Mitchell, Zanele Munyikwa, Suraj Nair, Avanika Narayan, Deepak Narayanan, Ben Newman, Allen Nie, Juan Carlos Niebles, Hamed Nilforoshan, Julian Nyarko, Giray Ogut, Laurel Orr, Isabel Papadimitriou, Joon Sung Park, Chris Piech, Eva Portelance, Christopher Potts, aditi raghunathan, Rob Reich, Hongyu Ren, Frieda Rong, Yusuf Roohani, Camilo Ruiz, Jack Ryan, Christopher Ré, Dorsa Sadigh, Shiori Sagawa, Keshav Santhanam, Andy Shih, Krishnan Srinivasan, Alex Tamkin, Rohan Taori, Armin W. Thomas, Florian Tramèr, Rose E. Wang, William Wang, Bohan Wu, Jiajun Wu, Yuhuai Wu, Sang Michael Xie, Michihiro Yasunaga, Jiaxuan You, Matei Zaharia, Michael Zhang, Tianyi Zhang, Xikun Zhang, Yuhui Zhang, Lucia Zheng, Kaitlyn Zhou, Percy Liang
AI is undergoing a paradigm shift with the rise of models (e. g., BERT, DALL-E, GPT-3) that are trained on broad data at scale and are adaptable to a wide range of downstream tasks.
1 code implementation • 16 Jul 2021 • Krzysztof Choromanski, Han Lin, Haoxian Chen, Tianyi Zhang, Arijit Sehanobish, Valerii Likhosherstov, Jack Parker-Holder, Tamas Sarlos, Adrian Weller, Thomas Weingarten
In this paper we provide, to the best of our knowledge, the first comprehensive approach for incorporating various masking mechanisms into Transformers architectures in a scalable way.
no code implementations • CVPR 2021 • Tianyi Zhang, Jie Lin, Peng Hu, Bin Zhao, Mohamed M. Sabry Aly
Unlike convolutions which are inherently parallel, the de-facto standard for NMS, namely GreedyNMS, cannot be easily parallelized and thus could be the performance bottleneck in convolutional object detection pipelines.
1 code implementation • NAACL 2021 • Tianyi Zhang, Tatsunori Hashimoto
We study how masking and predicting tokens in an unsupervised fashion can give rise to linguistic structures and downstream performance gains.
no code implementations • 21 Mar 2021 • Jiaying Ren, Tianyi Zhang, Jian Li, Petre Stoica
In a previous paper, a relaxation-based algorithm, referred to as 1bRELAX, has been proposed to iteratively maximize the likelihood function.
no code implementations • 19 Mar 2021 • Tianyi Zhang, Jiaying Ren, Jian Li, Lam H. Nguyen, Petre Stoica
Radio frequency interference (RFI) mitigation and radar echo recovery are critically important for the proper functioning of ultra-wideband (UWB) radar systems using one-bit sampling techniques.
no code implementations • 19 Feb 2021 • Daniel Russo, Assaf Zeevi, Tianyi Zhang
We consider a discounted infinite horizon optimal stopping problem.
no code implementations • 17 Feb 2021 • Tianyi Zhang, Jiaying Ren, Jian Li, Lam H. Nguyen, Petre Stoica
A one-bit UWB system obtains its signed measurements via a low-cost and high rate sampling scheme, referred to as the Continuous Time Binary Value (CTBV) technology.
no code implementations • 25 Jan 2021 • Lucas Lafeta, Aurea Corradi, Tianyi Zhang, Ethan Kahn, Ismail Bilgin, Bruno R. Carvalho, Swastik Kar, Mauricio Terrones, Leandro M. Malard
Semiconducting Transition Metal Dichalcogenides (TMDs) have significant nonlinear optical effects.
Mesoscale and Nanoscale Physics
1 code implementation • 7 Dec 2020 • Tianyi Zhang, Jiankun Wang, Max Q. -H. Meng
Sampling-based path planning is a popular methodology for robot path planning.
no code implementations • 18 Oct 2020 • Jianchao Lu, Xi Zheng, Tianyi Zhang, Michael Sheng, Chen Wang, Jiong Jin, Shui Yu, Wanlei Zhou
In this paper, we propose a novel driver fatigue detection method by embedding surface electromyography (sEMG) sensors on a steering wheel.
no code implementations • 22 Aug 2020 • Min Fu, Jiwei Guan, Xi Zheng, Jie zhou, Jianchao Lu, Tianyi Zhang, Shoujie Zhuo, Lijun Zhan, Jian Yang
Existing solution recommendation methods for online customer service are unable to determine the best solutions at runtime, leading to poor satisfaction of end customers.
no code implementations • 8 Aug 2020 • Dongbo Xi, Bowen Song, Fuzhen Zhuang, Yongchun Zhu, Shuai Chen, Tianyi Zhang, Yuan Qi, Qing He
In this paper, we propose the Dual Importance-aware Factorization Machines (DIFM), which exploits the internal field information among users' behavior sequence from dual perspectives, i. e., field value variations and field interactions simultaneously for fraud detection.
no code implementations • 8 Jul 2020 • Tianyi Zhang, Ikko Yamane, Nan Lu, Masashi Sugiyama
A default assumption in many machine learning scenarios is that the training and test samples are drawn from the same probability distribution.
1 code implementation • ICLR 2021 • Tianyi Zhang, Felix Wu, Arzoo Katiyar, Kilian Q. Weinberger, Yoav Artzi
We empirically test the impact of these factors, and identify alternative practices that resolve the commonly observed instability of the process.
no code implementations • NeurIPS 2020 • Han Lin, Haoxian Chen, Tianyi Zhang, Clement Laroche, Krzysztof Choromanski
Orthogonal Monte Carlo (OMC) is a very effective sampling algorithm imposing structural geometric conditions (orthogonality) on samples for variance reduction.
no code implementations • 19 Mar 2020 • Tianyi Zhang, Yun Gu, Xiaolin Huang, Enmei Tu, Jie Yang
In particular, we incorporate a disparity-based constraint mechanism into the generation of SR images in a deep neural network framework with an additional atrous parallax-attention modules.
1 code implementation • 19 Feb 2020 • Tianyi Zhang, Shahrzad Shirzad, Bibek Wagle, Adrian S. Lemoine, Patrick Diehl, Hartmut Kaiser
This paper is a follow-up paper on the fundamental implementation of hpxMP, an implementation of the OpenMP standard which utilizes the C++ standard library for Parallelism and Concurrency (HPX) to schedule and manage tasks.
Distributed, Parallel, and Cluster Computing Programming Languages
1 code implementation • 6 Feb 2020 • Yao Deng, Xi Zheng, Tianyi Zhang, Chen Chen, Guannan Lou, Miryung Kim
We derive several implications for system and middleware builders: (1) when adding a defense component against adversarial attacks, it is important to deploy multiple defense methods in tandem to achieve a good coverage of various attacks, (2) a blackbox attack is much less effective compared with a white-box attack, implying that it is important to keep model details (e. g., model architecture, hyperparameters) confidential via model obfuscation, and (3) driving models with a complex architecture are preferred if computing resources permit as they are more resilient to adversarial attacks than simple models.
3 code implementations • NeurIPS 2020 • Geoff Pleiss, Tianyi Zhang, Ethan R. Elenberg, Kilian Q. Weinberger
Not all data in a typical training set help with generalization; some samples can be overly ambiguous or outrightly mislabeled.
no code implementations • 31 Dec 2019 • Lanfei Wang, Lingxi Xie, Tianyi Zhang, Jun Guo, Qi Tian
Neural Architecture Search (NAS) is an emerging topic in machine learning and computer vision.
no code implementations • 20 Oct 2019 • Nan Lu, Tianyi Zhang, Gang Niu, Masashi Sugiyama
The recently proposed unlabeled-unlabeled (UU) classification method allows us to train a binary classifier only from two unlabeled datasets with different class priors.
2 code implementations • 9 Oct 2019 • Tianyi Zhang, Zhiqiu Lin, Guandao Yang, Christopher De Sa
Low-precision training reduces computational cost and produces efficient models.
no code implementations • 25 Sep 2019 • Geoff Pleiss, Tianyi Zhang, Ethan R. Elenberg, Kilian Q. Weinberger
This paper introduces a new method to discover mislabeled training samples and to mitigate their impact on the training process of deep networks.
no code implementations • 14 May 2019 • Tianyi Zhang, Dengji Zhao, Wen Zhang, Xuming He
We consider a fixed-price mechanism design setting where a seller sells one item via a social network, but the seller can only directly communicate with her neighbours initially.
3 code implementations • 26 Apr 2019 • Guandao Yang, Tianyi Zhang, Polina Kirichenko, Junwen Bai, Andrew Gordon Wilson, Christopher De Sa
Low precision operations can provide scalability, memory savings, portability, and energy efficiency.
18 code implementations • ICLR 2020 • Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, Yoav Artzi
We propose BERTScore, an automatic evaluation metric for text generation.
1 code implementation • 7 Mar 2019 • Tianyi Zhang, Shahrzad Shirzad, Patrick Diehl, R. Tohid, Weile Wei, Hartmut Kaiser
Not only must users port their own codes, but often users rely on highly optimized libraries such as BLAS and LAPACK which use OpenMP for parallization.
Distributed, Parallel, and Cluster Computing
7 code implementations • 19 Feb 2019 • Felix Wu, Tianyi Zhang, Amauri Holanda de Souza Jr., Christopher Fifty, Tao Yu, Kilian Q. Weinberger
Graph Convolutional Networks (GCNs) and their variants have experienced significant attention and have become the de facto methods for learning graph representations.
Ranked #3 on
Text Classification
on Ohsumed
no code implementations • 29 Mar 2018 • Zhize Li, Tianyi Zhang, Shuyu Cheng, Jun Zhu, Jian Li
In this paper, we apply the variance reduction tricks on Hamiltonian Monte Carlo and achieve better theoretical convergence results compared with the variance-reduced Langevin dynamics.
no code implementations • 7 Mar 2018 • Tianyi Zhang, Guosheng Lin, Jianfei Cai, Tong Shen, Chunhua Shen, Alex C. Kot
In our work, we focus on the weakly supervised semantic segmentation with image label annotations.