Search Results for author: Yi Cheng

Found 34 papers, 19 papers with code

ICON: Improving Inter-Report Consistency of Radiology Report Generation via Lesion-aware Mix-up Augmentation

1 code implementation20 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.

Medical Report Generation

Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning

no code implementations4 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.

Inductive Bias

How Far Are We from Believable AI Agents? A Framework for Evaluating the Believability of Human Behavior Simulation

1 code implementation28 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.

Language Modelling Large Language Model

COOPER: Coordinating Specialized Agents towards a Complex Dialogue Goal

1 code implementation19 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.

Team I2R-VI-FF Technical Report on EPIC-KITCHENS VISOR Hand Object Segmentation Challenge 2023

no code implementations31 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.

Hand Segmentation Object +2

RECAP: Towards Precise Radiology Report Generation via Dynamic Disease Progression Reasoning

1 code implementation21 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.

Medical Report Generation

Self-Detoxifying Language Models via Toxification Reversal

1 code implementation14 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.

Language Modelling

Target-oriented Proactive Dialogue Systems with Personalization: Problem Formulation and Dataset Curation

1 code implementation11 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.

MCPA: Multi-scale Cross Perceptron Attention Network for 2D Medical Image Segmentation

1 code implementation27 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.

Image Segmentation Medical Image Segmentation +2

Keyword-Aware Relative Spatio-Temporal Graph Networks for Video Question Answering

no code implementations25 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.

graph construction Question Answering +2

SCA-PVNet: Self-and-Cross Attention Based Aggregation of Point Cloud and Multi-View for 3D Object Retrieval

no code implementations20 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.

3D Object Retrieval Object +1

Ord2Seq: Regarding Ordinal Regression as Label Sequence Prediction

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.

Binary Classification regression

A Study on Differentiable Logic and LLMs for EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 2023

no code implementations13 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.

Action Recognition Unsupervised Domain Adaptation

ORGAN: Observation-Guided Radiology Report Generation via Tree Reasoning

1 code implementation10 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.

Medical Report Generation

Medical Dialogue Generation via Dual Flow Modeling

1 code implementation29 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.

Dialogue Generation Dialogue Understanding

Team VI-I2R Technical Report on EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 2022

no code implementations29 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.

Action Recognition Unsupervised Domain Adaptation

CARE: Causality Reasoning for Empathetic Responses by Conditional Graph Generation

1 code implementation1 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.

Empathetic Response Generation Graph Generation +1

Functional Constrained Optimization for Risk Aversion and Sparsity Control

no code implementations11 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.

Portfolio Optimization

Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning

1 code implementation9 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.

Dialogue Generation

Team VI-I2R Technical Report on EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 2021

no code implementations3 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.

Fine-grained Action Recognition Optical Flow Estimation +1

Phased Progressive Learning with Coupling-Regulation-Imbalance Loss for Imbalanced Data Classification

no code implementations24 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.

Classification imbalanced classification +1

Research on Parallel SVM Algorithm Based on Cascade SVM

no code implementations11 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.

Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting

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.

Question Answering Question Generation +1

Unifying Discourse Resources with Dependency Framework

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.

MedDG: An Entity-Centric Medical Consultation Dataset for Entity-Aware Medical Dialogue Generation

1 code implementation15 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.

Dialogue Generation Response Generation +1

6D Pose Estimation with Correlation Fusion

no code implementations24 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.

6D Pose Estimation 6D Pose Estimation using RGB

Optimal Adaptive and Accelerated Stochastic Gradient Descent

1 code implementation1 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.

BIG-bench Machine Learning Stochastic Optimization

A Good Practice Towards Top Performance of Face Recognition: Transferred Deep Feature Fusion

1 code implementation3 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.

Face Recognition Transfer Learning

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