Search Results for author: Bin Feng

Found 24 papers, 11 papers with code

Beyond Chemical QA: Evaluating LLM's Chemical Reasoning with Modular Chemical Operations

no code implementations27 May 2025 Hao Li, He Cao, Bin Feng, Yanjun Shao, Xiangru Tang, Zhiyuan Yan, Li Yuan, Yonghong Tian, Yu Li

While large language models (LLMs) with Chain-of-Thought (CoT) reasoning excel in mathematics and coding, their potential for systematic reasoning in chemistry, a domain demanding rigorous structural analysis for real-world tasks like drug design and reaction engineering, remains untapped.

Chemical Reaction Prediction Drug Design +1

Rethinking Text-based Protein Understanding: Retrieval or LLM?

1 code implementation26 May 2025 Juntong Wu, Zijing Liu, He Cao, Hao Li, Bin Feng, Zishan Shu, Ke Yu, Li Yuan, Yu Li

In recent years, protein-text models have gained significant attention for their potential in protein generation and understanding.

Retrieval Text Generation

Enhanced Sampling, Public Dataset and Generative Model for Drug-Protein Dissociation Dynamics

no code implementations25 Apr 2025 Maodong Li, Jiying Zhang, Bin Feng, Wenqi Zeng, Dechin Chen, Zhijun Pan, Yu Li, Zijing Liu, Yi Isaac Yang

We propose an enhanced sampling strategy to efficiently implement the drug-protein dissociation process in MD simulations and estimate the free energy surface (FES).

SentiFormer: Metadata Enhanced Transformer for Image Sentiment Analysis

1 code implementation21 Feb 2025 Bin Feng, Shulan Ruan, Mingzheng Yang, Dongxuan Han, Huijie Liu, Kai Zhang, Qi Liu

As more and more internet users post images online to express their daily emotions, image sentiment analysis has attracted increasing attention.

Sentiment Analysis

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models

no code implementations23 Jan 2025 Kangjie Zheng, Junwei Yang, Siyue Liang, Bin Feng, Zequn Liu, Wei Ju, Zhiping Xiao, Ming Zhang

This enhancement increases context capacity and enables the model to capture richer semantic information, effectively mitigating the corrupted semantics problem during pre-training.

Representation Learning

IPP-Net: A Generalizable Deep Neural Network Model for Indoor Pathloss Radio Map Prediction

no code implementations11 Jan 2025 Bin Feng, Meng Zheng, Wei Liang, Lei Zhang

In this paper, we propose a generalizable deep neural network model for indoor pathloss radio map prediction (termed as IPP-Net).

Prediction

SMI-Editor: Edit-based SMILES Language Model with Fragment-level Supervision

no code implementations7 Dec 2024 Kangjie Zheng, Siyue Liang, Junwei Yang, Bin Feng, Zequn Liu, Wei Ju, Zhiping Xiao, Ming Zhang

SMILES, a crucial textual representation of molecular structures, has garnered significant attention as a foundation for pre-trained language models (LMs).

Language Modeling Language Modelling +2

An accelerate Prediction Strategy for Dynamic Multi-Objective Optimization

no code implementations8 Oct 2024 Ru Lei, Lin Li, Rustam Stolkin, Bin Feng

To effectively track the changes in the PS and PF in both decision and objective spaces, we propose an adaptive prediction strategy that incorporates second-order derivatives to predict and adjust the algorithms search behavior.

Prediction

Dynamic 2D Gaussians: Geometrically accurate radiance fields for dynamic objects

1 code implementation21 Sep 2024 Shuai Zhang, Guanjun Wu, Xinggang Wang, Bin Feng, Wenyu Liu

In this paper, we propose a novel representation that can reconstruct accurate meshes from sparse image input, named Dynamic 2D Gaussians (D-2DGS).

LiCAF: LiDAR-Camera Asymmetric Fusion for Gait Recognition

no code implementations18 Jun 2024 Yunze Deng, Haijun Xiong, Bin Feng

Gait recognition is a biometric technology that identifies individuals by using walking patterns.

Gait Recognition

SmoothQuant+: Accurate and Efficient 4-bit Post-Training WeightQuantization for LLM

2 code implementations6 Dec 2023 Jiayi Pan, Chengcan Wang, Kaifu Zheng, Yangguang Li, Zhenyu Wang, Bin Feng

Our results show that, with SmoothQuant+, the Code Llama-34B model can be quantized and deployed on a A100 40GB GPU, achieving lossless accuracy and a throughput increase of 1. 9 to 4. 0 times compared to the FP16 model deployed on two A100 40GB GPUs.

Quantization

GaitGS: Temporal Feature Learning in Granularity and Span Dimension for Gait Recognition

1 code implementation31 May 2023 Haijun Xiong, Yunze Deng, Bin Feng, Xinggang Wang, Wenyu Liu

Gait recognition, a growing field in biological recognition technology, utilizes distinct walking patterns for accurate individual identification.

Gait Recognition

Robust Dancer: Long-term 3D Dance Synthesis Using Unpaired Data

no code implementations29 Mar 2023 Bin Feng, Tenglong Ao, Zequn Liu, Wei Ju, Libin Liu, Ming Zhang

How to automatically synthesize natural-looking dance movements based on a piece of music is an incrementally popular yet challenging task.

Disentanglement

Graph Contrastive Learning for Skeleton-based Action Recognition

1 code implementation26 Jan 2023 Xiaohu Huang, Hao Zhou, Jian Wang, Haocheng Feng, Junyu Han, Errui Ding, Jingdong Wang, Xinggang Wang, Wenyu Liu, Bin Feng

In this paper, we propose a graph contrastive learning framework for skeleton-based action recognition (\textit{SkeletonGCL}) to explore the \textit{global} context across all sequences.

Action Recognition Contrastive Learning +2

Multi-scale Context-aware Network with Transformer for Gait Recognition

no code implementations ICCV 2021 Duowang Zhu, Xiaohu Huang, Xinggang Wang, Bo Yang, Botao He, Wenyu Liu, Bin Feng

Although gait recognition has drawn increasing research attention recently, since the silhouette differences are quite subtle in spatial domain, temporal feature representation is crucial for gait recognition.

Multiview Gait Recognition Relation

Tracking Instances as Queries

1 code implementation22 Jun 2021 Shusheng Yang, Yuxin Fang, Xinggang Wang, Yu Li, Ying Shan, Bin Feng, Wenyu Liu

Recently, query based deep networks catch lots of attention owing to their end-to-end pipeline and competitive results on several fundamental computer vision tasks, such as object detection, semantic segmentation, and instance segmentation.

Instance Segmentation object-detection +4

Instances as Queries

5 code implementations ICCV 2021 Yuxin Fang, Shusheng Yang, Xinggang Wang, Yu Li, Chen Fang, Ying Shan, Bin Feng, Wenyu Liu

The key insight of QueryInst is to leverage the intrinsic one-to-one correspondence in object queries across different stages, as well as one-to-one correspondence between mask RoI features and object queries in the same stage.

Instance Segmentation Object +4

Crossover Learning for Fast Online Video Instance Segmentation

1 code implementation ICCV 2021 Shusheng Yang, Yuxin Fang, Xinggang Wang, Yu Li, Chen Fang, Ying Shan, Bin Feng, Wenyu Liu

For temporal information modeling in VIS, we present a novel crossover learning scheme that uses the instance feature in the current frame to pixel-wisely localize the same instance in other frames.

Instance Segmentation Semantic Segmentation +2

Deep multi-metric learning for text-independent speaker verification

1 code implementation17 Jul 2020 Jiwei Xu, Xinggang Wang, Bin Feng, Wenyu Liu

Text-independent speaker verification is an important artificial intelligence problem that has a wide spectrum of applications, such as criminal investigation, payment certification, and interest-based customer services.

Metric Learning Text-Independent Speaker Verification +1

Maximum Entropy Regularization and Chinese Text Recognition

no code implementations9 Jul 2020 Changxu Cheng, Wuheng Xu, Xiang Bai, Bin Feng, Wenyu Liu

Chinese text recognition is more challenging than Latin text due to the large amount of fine-grained Chinese characters and the great imbalance over classes, which causes a serious overfitting problem.

Fine-Grained Image Classification image-classification

Patch Aggregator for Scene Text Script Identification

no code implementations9 Dec 2019 Changxu Cheng, Qiuhui Huang, Xiang Bai, Bin Feng, Wenyu Liu

Script identification in the wild is of great importance in a multi-lingual robust-reading system.

Clustering

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