Search Results for author: Han Zhou

Found 28 papers, 15 papers with code

PingAnTech at SMM4H task1: Multiple pre-trained model approaches for Adverse Drug Reactions

no code implementations SMM4H (COLING) 2022 Xi Liu, Han Zhou, Chang Su

For task 1a, the system achieved an F1 score of 0. 68; for task 1b Overlapping F1 score of 0. 65 and a Strict F1 score of 0. 49.

Language Modelling

Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators

1 code implementation25 Mar 2024 Yinhong Liu, Han Zhou, Zhijiang Guo, Ehsan Shareghi, Ivan Vulić, Anna Korhonen, Nigel Collier

Large Language Models (LLMs) have demonstrated promising capabilities as automatic evaluators in assessing the quality of generated natural language.

Language Modelling Large Language Model

On Task Performance and Model Calibration with Supervised and Self-Ensembled In-Context Learning

1 code implementation21 Dec 2023 Chengzu Li, Han Zhou, Goran Glavaš, Anna Korhonen, Ivan Vulić

Following the standard supervised fine-tuning (SFT) paradigm, in-context learning (ICL) has become an efficient approach propelled by the recent advancements in large language models (LLMs), yielding promising performance across various tasks in few-shot data setups.

In-Context Learning

Survival of the Most Influential Prompts: Efficient Black-Box Prompt Search via Clustering and Pruning

1 code implementation19 Oct 2023 Han Zhou, Xingchen Wan, Ivan Vulić, Anna Korhonen

Prompt-based learning has been an effective paradigm for large pretrained language models (LLM), enabling few-shot or even zero-shot learning.

Combinatorial Optimization Zero-Shot Learning

A Corrected Expected Improvement Acquisition Function Under Noisy Observations

1 code implementation8 Oct 2023 Han Zhou, Xingchen Ma, Matthew B Blaschko

Sequential maximization of expected improvement (EI) is one of the most widely used policies in Bayesian optimization because of its simplicity and ability to handle noisy observations.

Bayesian Optimization Model Compression

Graph-based Asynchronous Event Processing for Rapid Object Recognition

no code implementations ICCV 2021 Yijin Li, Han Zhou, Bangbang Yang, Ye Zhang, Zhaopeng Cui, Hujun Bao, Guofeng Zhang

Different from traditional video cameras, event cameras capture asynchronous events stream in which each event encodes pixel location, trigger time, and the polarity of the brightness changes.

graph construction Object Recognition

OnUVS: Online Feature Decoupling Framework for High-Fidelity Ultrasound Video Synthesis

no code implementations16 Aug 2023 Han Zhou, Dong Ni, Ao Chang, Xinrui Zhou, Rusi Chen, Yanlin Chen, Lian Liu, Jiamin Liang, Yuhao Huang, Tong Han, Zhe Liu, Deng-Ping Fan, Xin Yang

Second, to better preserve the integrity and textural information of US images, we implemented a dual-decoder that decouples the content and textural features in the generator.

Multi3WOZ: A Multilingual, Multi-Domain, Multi-Parallel Dataset for Training and Evaluating Culturally Adapted Task-Oriented Dialog Systems

1 code implementation26 Jul 2023 Songbo Hu, Han Zhou, Mete Hergul, Milan Gritta, Guchun Zhang, Ignacio Iacobacci, Ivan Vulić, Anna Korhonen

Creating high-quality annotated data for task-oriented dialog (ToD) is known to be notoriously difficult, and the challenges are amplified when the goal is to create equitable, culturally adapted, and large-scale ToD datasets for multiple languages.


Instructive Feature Enhancement for Dichotomous Medical Image Segmentation

1 code implementation6 Jun 2023 Lian Liu, Han Zhou, Jiongquan Chen, Sijing Liu, Wenlong Shi, Dong Ni, Deng-Ping Fan, Xin Yang

Deep neural networks have been widely applied in dichotomous medical image segmentation (DMIS) of many anatomical structures in several modalities, achieving promising performance.

Image Segmentation Medical Image Segmentation +2

Breaking Through the Haze: An Advanced Non-Homogeneous Dehazing Method based on Fast Fourier Convolution and ConvNeXt

1 code implementation8 May 2023 Han Zhou, Wei Dong, Yangyi Liu, Jun Chen

To tackle these two challenges, we propose a novel two branch network that leverages 2D discrete wavelete transform (DWT), fast Fourier convolution (FFC) residual block and a pretrained ConvNeXt model.

Segment Anything Model for Medical Images?

1 code implementation28 Apr 2023 Yuhao Huang, Xin Yang, Lian Liu, Han Zhou, Ao Chang, Xinrui Zhou, Rusi Chen, Junxuan Yu, Jiongquan Chen, Chaoyu Chen, Sijing Liu, Haozhe Chi, Xindi Hu, Kejuan Yue, Lei LI, Vicente Grau, Deng-Ping Fan, Fajin Dong, Dong Ni

To fully validate SAM's performance on medical data, we collected and sorted 53 open-source datasets and built a large medical segmentation dataset with 18 modalities, 84 objects, 125 object-modality paired targets, 1050K 2D images, and 6033K masks.

Image Segmentation Medical Image Segmentation +3

AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning

1 code implementation28 Jan 2023 Han Zhou, Xingchen Wan, Ivan Vulić, Anna Korhonen

Large pretrained language models are widely used in downstream NLP tasks via task-specific fine-tuning, but such procedures can be costly.

Bayesian Optimisation Neural Architecture Search

GreenPLM: Cross-Lingual Transfer of Monolingual Pre-Trained Language Models at Almost No Cost

1 code implementation13 Nov 2022 Qingcheng Zeng, Lucas Garay, Peilin Zhou, Dading Chong, Yining Hua, Jiageng Wu, Yikang Pan, Han Zhou, Rob Voigt, Jie Yang

Large pre-trained models have revolutionized natural language processing (NLP) research and applications, but high training costs and limited data resources have prevented their benefits from being shared equally amongst speakers of all the world's languages.

Cross-Lingual Transfer

PLATO-K: Internal and External Knowledge Enhanced Dialogue Generation

no code implementations2 Nov 2022 Siqi Bao, Huang He, Jun Xu, Hua Lu, Fan Wang, Hua Wu, Han Zhou, Wenquan Wu, Zheng-Yu Niu, Haifeng Wang

Recently, the practical deployment of open-domain dialogue systems has been plagued by the knowledge issue of information deficiency and factual inaccuracy.

Dialogue Generation Memorization +1

DELTAR: Depth Estimation from a Light-weight ToF Sensor and RGB Image

no code implementations27 Sep 2022 Yijin Li, Xinyang Liu, Wenqi Dong, Han Zhou, Hujun Bao, Guofeng Zhang, yinda zhang, Zhaopeng Cui

Light-weight time-of-flight (ToF) depth sensors are small, cheap, low-energy and have been massively deployed on mobile devices for the purposes like autofocus, obstacle detection, etc.

3D Reconstruction Depth Completion +2

Spatial-Temporal Deep Embedding for Vehicle Trajectory Reconstruction from High-Angle Video

no code implementations17 Sep 2022 Tianya T. Zhang Ph. D., Peter J. Jin Ph. D., Han Zhou, Benedetto Piccoli, Ph. D

In this paper, we developed Spatial-Temporal Deep Embedding (STDE) model that imposes parity constraints at both pixel and instance levels to generate instance-aware embeddings for vehicle stripe segmentation on STMap.

Imitation Learning

Link the World: Improving Open-domain Conversation with Dynamic Spatiotemporal-aware Knowledge

no code implementations28 Jun 2022 Han Zhou, Xinchao Xu, Wenquan Wu, Zheng-Yu Niu, Hua Wu, Siqi Bao, Fan Wang, Haifeng Wang

Making chatbots world aware in a conversation like a human is a crucial challenge, where the world may contain dynamic knowledge and spatiotemporal state.


Combinatorial optimization for low bit-width neural networks

no code implementations4 Jun 2022 Han Zhou, Aida Ashrafi, Matthew B. Blaschko

In this paper, we explore methods of direct combinatorial optimization in the problem of risk minimization with binary weights, which can be made equivalent to a non-monotone submodular maximization under certain conditions.

Binary Classification Combinatorial Optimization

XQA-DST: Multi-Domain and Multi-Lingual Dialogue State Tracking

1 code implementation12 Apr 2022 Han Zhou, Ignacio Iacobacci, Pasquale Minervini

Dialogue State Tracking (DST), a crucial component of task-oriented dialogue (ToD) systems, keeps track of all important information pertaining to dialogue history: filling slots with the most probable values throughout the conversation.

Cross-Lingual Transfer Dialogue State Tracking +4

MC-UNet Multi-module Concatenation based on U-shape Network for Retinal Blood Vessels Segmentation

1 code implementation7 Apr 2022 Ting Zhang, Jun Li, Yi Zhao, Nan Chen, Han Zhou, Hongtao Xu, Zihao Guan, Changcai Yang, Lanyan Xue, Riqing Chen, Lifang Wei

The proposed network structure retains three layers the essential structure of U-Net, in which the atrous convolution combining the multi-kernel pooling blocks are designed to obtain more contextual information.


Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering

no code implementations ICCV 2021 Bangbang Yang, yinda zhang, Yinghao Xu, Yijin Li, Han Zhou, Hujun Bao, Guofeng Zhang, Zhaopeng Cui

In this paper, we present a novel neural scene rendering system, which learns an object-compositional neural radiance field and produces realistic rendering with editing capability for a clustered and real-world scene.

Neural Rendering Novel View Synthesis +1

VS-Net: Voting with Segmentation for Visual Localization

1 code implementation CVPR 2021 Zhaoyang Huang, Han Zhou, Yijin Li, Bangbang Yang, Yan Xu, Xiaowei Zhou, Hujun Bao, Guofeng Zhang, Hongsheng Li

To address this problem, we propose a novel visual localization framework that establishes 2D-to-3D correspondences between the query image and the 3D map with a series of learnable scene-specific landmarks.

Segmentation Semantic Segmentation +1

A Unified Pre-training Framework for Conversational AI

1 code implementation6 May 2021 Siqi Bao, Bingjin Chen, Huang He, Xin Tian, Han Zhou, Fan Wang, Hua Wu, Haifeng Wang, Wenquan Wu, Yingzhan Lin

In this work, we explore the application of PLATO-2 on various dialogue systems, including open-domain conversation, knowledge grounded dialogue, and task-oriented conversation.

Chatbot Interactive Evaluation of Dialog +1

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