no code implementations • 25 May 2024 • Chak Tou Leong, Yi Cheng, Kaishuai Xu, Jian Wang, Hanlin Wang, Wenjie Li
In particular, we analyze the two most representative types of attack approaches: Explicit Harmful Attack (EHA) and Identity-Shifting Attack (ISA).
no code implementations • 21 May 2024 • Yi Cheng, Ziwei Xu, Dongyun Lin, Harry Cheng, Yongkang Wong, Ying Sun, Joo Hwee Lim, Mohan Kankanhalli
To address these challenges, we propose a knowledge-enhanced iterative refinement framework for visual content generation.
no code implementations • 30 Apr 2024 • Dongyun Lin, Yi Cheng, Shangbo Mao, Aiyuan Guo, Yiqun Li
Specifically, leveraging the descriptor which is effective for zero-shot inference to guide the tuning of the aggregated descriptor under the few-shot training can significantly improve the few-shot learning efficacy.
no code implementations • 12 Apr 2024 • Jiayi Li, Linqi Ye, Yi Cheng, Houde Liu, Bin Liang
Finally, we evaluate the tracking accuracy of our controller on various bipedal tasks, and the effectiveness of our control framework is verified in the simulation environment.
no code implementations • 11 Apr 2024 • Jinhong Wang, Yi Cheng, Jintai Chen, Hongxia Xu, Danny Chen, Jian Wu
In this paper, we tackle two challenges arisen in multi-rater annotations for medical image segmentation (called ambiguous medical image segmentation): (1) How to train a deep learning model when a group of raters produces a set of diverse but plausible annotations, and (2) how to fine-tune the model efficiently when computation resources are not available for re-training the entire model on a different dataset domain.
1 code implementation • 20 Feb 2024 • Wenjun Hou, Yi Cheng, Kaishuai Xu, Yan Hu, Wenjie Li, Jiang Liu
Previous research on radiology report generation has made significant progress in terms of increasing the clinical accuracy of generated reports.
1 code implementation • 4 Feb 2024 • Yi Cheng, Renjun Hu, Haochao Ying, Xing Shi, Jian Wu, Wei Lin
Our extensive experiments on real-world data also validate the consistent effectiveness, efficiency, and rationale of AMFormer, suggesting it has established a strong inductive bias for deep learning on tabular data.
no code implementations • 12 Jan 2024 • Kaishuai Xu, Wenjun Hou, Yi Cheng, Jian Wang, Wenjie Li
Clinicians typically employ both intuitive and analytic reasoning to formulate a differential diagnosis.
1 code implementation • 28 Dec 2023 • Yang Xiao, Yi Cheng, Jinlan Fu, Jiashuo Wang, Wenjie Li, PengFei Liu
Human behavior simulation of AI agents necessitates the agents to possess a quality of believability, which is crucial as it facilitates users in establishing trust toward the agents and streamlines the fulfillment of the agents' goal.
1 code implementation • 19 Dec 2023 • Yi Cheng, Wenge Liu, Jian Wang, Chak Tou Leong, Yi Ouyang, Wenjie Li, Xian Wu, Yefeng Zheng
In recent years, there has been a growing interest in exploring dialogues with more complex goals, such as negotiation, persuasion, and emotional support, which go beyond traditional service-focused dialogue systems.
no code implementations • 31 Oct 2023 • Fen Fang, Yi Cheng, Ying Sun, Qianli Xu
In this report, we present our approach to the EPIC-KITCHENS VISOR Hand Object Segmentation Challenge, which focuses on the estimation of the relation between the hands and the objects given a single frame as input.
1 code implementation • 21 Oct 2023 • Wenjun Hou, Yi Cheng, Kaishuai Xu, Wenjie Li, Jiang Liu
It then combines the historical records, spatiotemporal information, and radiographs for report generation, where a disease progression graph and dynamic progression reasoning mechanism are devised to accurately select the attributes of each observation and progression.
1 code implementation • 14 Oct 2023 • Chak Tou Leong, Yi Cheng, Jiashuo Wang, Jian Wang, Wenjie Li
Drawing on this idea, we devise a method to identify the toxification direction from the normal generation process to the one prompted with the negative prefix, and then steer the generation to the reversed direction by manipulating the information movement within the attention layers.
1 code implementation • 11 Oct 2023 • Jian Wang, Yi Cheng, Dongding Lin, Chak Tou Leong, Wenjie Li
Target-oriented dialogue systems, designed to proactively steer conversations toward predefined targets or accomplish specific system-side goals, are an exciting area in conversational AI.
1 code implementation • 27 Jul 2023 • Liang Xu, Mingxiao Chen, Yi Cheng, Pengfei Shao, Shuwei Shen, Peng Yao, Ronald X. Xu
The Cross Perceptron first captures the local correlations using multiple Multi-scale Cross Perceptron modules, facilitating the fusion of features across scales.
no code implementations • 25 Jul 2023 • Yi Cheng, Hehe Fan, Dongyun Lin, Ying Sun, Mohan Kankanhalli, Joo-Hwee Lim
The main challenge in video question answering (VideoQA) is to capture and understand the complex spatial and temporal relations between objects based on given questions.
no code implementations • 20 Jul 2023 • Dongyun Lin, Yi Cheng, Aiyuan Guo, Shangbo Mao, Yiqun Li
With deep features extracted from point clouds and multi-view images, we design two types of feature aggregation modules, namely the In-Modality Aggregation Module (IMAM) and the Cross-Modality Aggregation Module (CMAM), for effective feature fusion.
1 code implementation • ICCV 2023 • Jinhong Wang, Yi Cheng, Jintai Chen, Tingting Chen, Danny Chen, Jian Wu
In this way, we decompose an ordinal regression task into a series of recursive binary classification steps, so as to subtly distinguish adjacent categories.
no code implementations • 13 Jul 2023 • Yi Cheng, Ziwei Xu, Fen Fang, Dongyun Lin, Hehe Fan, Yongkang Wong, Ying Sun, Mohan Kankanhalli
Our research focuses on the innovative application of a differentiable logic loss in the training to leverage the co-occurrence relations between verb and noun, as well as the pre-trained Large Language Models (LLMs) to generate the logic rules for the adaptation to unseen action labels.
1 code implementation • 10 Jun 2023 • Wenjun Hou, Kaishuai Xu, Yi Cheng, Wenjie Li, Jiang Liu
This paper explores the task of radiology report generation, which aims at generating free-text descriptions for a set of radiographs.
1 code implementation • 29 May 2023 • Kaishuai Xu, Wenjun Hou, Yi Cheng, Jian Wang, Wenjie Li
It extracts the medical entities and dialogue acts used in the dialogue history and models their transitions with an entity-centric graph flow and a sequential act flow, respectively.
1 code implementation • 7 May 2023 • Yi Cheng, Haochao Ying, Renjun Hu, Jinhong Wang, Wenhao Zheng, Xiao Zhang, Danny Chen, Jian Wu
Image ordinal regression has been mainly studied along the line of exploiting the order of categories.
no code implementations • 29 Jan 2023 • Yi Cheng, Dongyun Lin, Fen Fang, Hao Xuan Woon, Qianli Xu, Ying Sun
In this report, we present the technical details of our submission to the EPIC-KITCHENS-100 Unsupervised Domain Adaptation (UDA) Challenge for Action Recognition 2022.
1 code implementation • 1 Nov 2022 • Jiashuo Wang, Yi Cheng, Wenjie Li
Recent approaches to empathetic response generation incorporate emotion causalities to enhance comprehension of both the user's feelings and experiences.
no code implementations • 11 Oct 2022 • Yi Cheng, Guanghui Lan, H. Edwin Romeijn
The DNCG is the first single-loop projection-free method, with iteration complexity bounded by $\mathcal{O}\big(1/\epsilon^4\big)$ for computing a so-called $\epsilon$-Wolfe point.
1 code implementation • 9 Oct 2022 • Yi Cheng, Wenge Liu, Wenjie Li, Jiashuo Wang, Ruihui Zhao, Bang Liu, Xiaodan Liang, Yefeng Zheng
Providing Emotional Support (ES) to soothe people in emotional distress is an essential capability in social interactions.
no code implementations • 3 Jun 2022 • Yi Cheng, Fen Fang, Ying Sun
Based on an existing method for video domain adaptation, i. e., TA3N, we propose to learn hand-centric features by leveraging the hand bounding box information for UDA on fine-grained action recognition.
no code implementations • 24 May 2022 • Liang Xu, Yi Cheng, Fan Zhang, Bingxuan Wu, Pengfei Shao, Peng Liu, Shuwei Shen, Peng Yao, Ronald X. Xu
This loss is effective in addressing quantity imbalances and outliers, while regulating the focus of attention on samples with varying classification difficulties.
1 code implementation • 29 Apr 2022 • Wenge Liu, Yi Cheng, Hao Wang, Jianheng Tang, Yafei Liu, Ruihui Zhao, Wenjie Li, Yefeng Zheng, Xiaodan Liang
In this paper, we explore how to bring interpretability to data-driven DSMD.
no code implementations • 11 Mar 2022 • Yi Cheng, Xiaoyan, Liu
At the same time, it proves that the accuracy of the model obtained by BCSVM algorithm is higher than that of CSVM.
no code implementations • CVPR 2022 • Hehe Fan, Xiaojun Chang, Wanyue Zhang, Yi Cheng, Ying Sun, Mohan Kankanhalli
In this paper, we propose an unsupervised domain adaptation method for deep point cloud representation learning.
no code implementations • ACL 2021 • Yi Cheng, SiYao Li, Bang Liu, Ruihui Zhao, Sujian Li, Chenghua Lin, Yefeng Zheng
This paper explores the task of Difficulty-Controllable Question Generation (DCQG), which aims at generating questions with required difficulty levels.
1 code implementation • CCL 2021 • Yi Cheng, Sujian Li, Yueyuan Li
For text-level discourse analysis, there are various discourse schemes but relatively few labeled data, because discourse research is still immature and it is labor-intensive to annotate the inner logic of a text.
1 code implementation • 15 Oct 2020 • Wenge Liu, Jianheng Tang, Yi Cheng, Wenjie Li, Yefeng Zheng, Xiaodan Liang
To push forward the future research on building expert-sensitive medical dialogue system, we proposes two kinds of medical dialogue tasks based on MedDG dataset.
no code implementations • WS 2019 • Yi Cheng, Sujian Li
Due to the absence of labeled data, discourse parsing still remains challenging in some languages.
no code implementations • 24 Sep 2019 • Yi Cheng, Hongyuan Zhu, Ying Sun, Cihan Acar, Wei Jing, Yan Wu, Liyuan Li, Cheston Tan, Joo-Hwee Lim
To our best knowledge, this is the first work to explore effective intra- and inter-modality fusion in 6D pose estimation.
1 code implementation • 1 Oct 2018 • Qi Deng, Yi Cheng, Guanghui Lan
More specifically, we show that diagonal scaling, initially designed to improve vanilla stochastic gradient, can be incorporated into accelerated stochastic gradient descent to achieve the optimal rate of convergence for smooth stochastic optimization.
1 code implementation • 2 Sep 2018 • Jian Zhao, Yu Cheng, Yi Cheng, Yang Yang, Haochong Lan, Fang Zhao, Lin Xiong, Yan Xu, Jianshu Li, Sugiri Pranata, ShengMei Shen, Junliang Xing, Hengzhu Liu, Shuicheng Yan, Jiashi Feng
Benchmarking our model on one of the most popular unconstrained face recognition datasets IJB-C additionally verifies the promising generalizability of AIM in recognizing faces in the wild.
Ranked #1 on Age-Invariant Face Recognition on MORPH Album2
1 code implementation • 3 Apr 2017 • Lin Xiong, Jayashree Karlekar, Jian Zhao, Yi Cheng, Yan Xu, Jiashi Feng, Sugiri Pranata, ShengMei Shen
In this paper, we propose a unified learning framework named Transferred Deep Feature Fusion (TDFF) targeting at the new IARPA Janus Benchmark A (IJB-A) face recognition dataset released by NIST face challenge.