Zhanhui Kang

According to our database, Zhanhui Kang authored at least 33 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Language Models "Grok" to Copy.

Ang Lv, Ruobing Xie, Xingwu Sun, Zhanhui Kang, Rui Yan

CoRR, 2024

Negative Sampling in Recommendation: A Survey and Future Directions.

Haokai Ma, Ruobing Xie, Lei Meng, Fuli Feng, Xiaoyu Du, Xingwu Sun, Zhanhui Kang, Xiangxu Meng

CoRR, 2024

HMoE: Heterogeneous Mixture of Experts for Language Modeling.

An Wang, Xingwu Sun, Ruobing Xie, Shuaipeng Li, Jiaqi Zhu, Zhen Yang, Pinxue Zhao, J. N. Han, Zhanhui Kang, Di Wang, Naoaki Okazaki, Cheng-Zhong Xu

CoRR, 2024

Diverse and Fine-Grained Instruction-Following Ability Exploration with Synthetic Data.

Zihui Gu, Xingwu Sun, Fengzong Lian, Zhanhui Kang, Cheng-Zhong Xu, Ju Fan

CoRR, 2024

ID-centric Pre-training for Recommendation.

Yiqing Wu, Ruobing Xie, Zhao Zhang, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Zhanhui Kang, Yongjun Xu

CoRR, 2024

PhD: A Prompted Visual Hallucination Evaluation Dataset.

Jiazhen Liu, Yuhan Fu, Ruobing Xie, Runquan Xie, Xingwu Sun, Fengzong Lian, Zhanhui Kang, Xirong Li

CoRR, 2024

Towards Empathetic Conversational Recommender Systems.

Xiaoyu Zhang, Ruobing Xie, Yougang Lyu, Xin Xin, Pengjie Ren, Mingfei Liang, Bo Zhang, Zhanhui Kang, Maarten de Rijke, Zhaochun Ren

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

The Elephant in the Room: Rethinking the Usage of Pre-trained Language Model in Sequential Recommendation.

Zekai Qu, Ruobing Xie, Chaojun Xiao, Zhanhui Kang, Xingwu Sun

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Improving Multi-modal Recommender Systems by Denoising and Aligning Multi-modal Content and User Feedback.

Guipeng Xv, Xinyu Li, Ruobing Xie, Chen Lin, Chong Liu, Feng Xia, Zhanhui Kang, Leyu Lin

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback.

Yiqing Wu, Ruobing Xie, Zhao Zhang, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Zhanhui Kang, Yongjun Xu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

SeeDRec: Sememe-based Diffusion for Sequential Recommendation.

Haokai Ma, Ruobing Xie, Lei Meng, Yimeng Yang, Xingwu Sun, Zhanhui Kang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Style Controlling in Recommendation.

Ruobing Xie, Xin Chen, Su Yan, Jinghan Chen, Xu Zhang, Xingwu Sun, Leyu Lin, Zhanhui Kang

Proceedings of the Database Systems for Advanced Applications, 2024

LightVLP: A Lightweight Vision-Language Pre-training via Gated Interactive Masked AutoEncoders.

Xingwu Sun, Zhen Yang, Ruobing Xie, Fengzong Lian, Zhanhui Kang, Chengzhong Xu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Plug-In Diffusion Model for Sequential Recommendation.

Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Zhanhui Kang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

DINGO: Towards Diverse and Fine-Grained Instruction-Following Evaluation.

Zihui Gu, Xingwu Sun, Fengzong Lian, Zhanhui Kang, Chengzhong Xu, Ju Fan

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models through Intervention without Tuning.

Zhongzhi Chen, Xingwu Sun, Xianfeng Jiao, Fengzong Lian, Zhanhui Kang, Di Wang, Chengzhong Xu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

E-Sparse: Boosting the Large Language Model Inference through Entropy-based N: M Sparsity.

Yun Li, Lin Niu, Xipeng Zhang, Kai Liu, Jianchen Zhu, Zhanhui Kang

CoRR, 2023

Thoroughly Modeling Multi-domain Pre-trained Recommendation as Language.

Zekai Qu, Ruobing Xie, Chaojun Xiao, Yuan Yao, Zhiyuan Liu, Fengzong Lian, Zhanhui Kang, Jie Zhou

CoRR, 2023

TeachCLIP: Multi-Grained Teaching for Efficient Text-to-Video Retrieval.

Kaibin Tian, Ruixiang Zhao, Hu Hu, Runquan Xie, Fengzong Lian, Zhanhui Kang, Xirong Li

CoRR, 2023

Multi-Feature Integration for Perception-Dependent Examination-Bias Estimation.

Xiaoshu Chen, Xiangsheng Li, Kunliang Wei, Bin Hu, Lei Jiang, Zeqian Huang, Zhanhui Kang

CoRR, 2023

Pretraining De-Biased Language Model with Large-scale Click Logs for Document Ranking.

Xiangsheng Li, Xiaoshu Chen, Kunliang Wei, Bin Hu, Lei Jiang, Zeqian Huang, Zhanhui Kang

CoRR, 2023

ChinaOpen: A Dataset for Open-world Multimodal Learning.

Aozhu Chen, Ziyuan Wang, Chengbo Dong, Kaibin Tian, Ruixiang Zhao, Xun Liang, Zhanhui Kang, Xirong Li

Proceedings of the 31st ACM International Conference on Multimedia, 2023

GradSalMix: Gradient Saliency-Based Mix for Image Data Augmentation.

Tao Hong, Ya Wang, Xingwu Sun, Fengzong Lian, Zhanhui Kang, Jinwen Ma

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

EasyQuant: An Efficient Data-free Quantization Algorithm for LLMs.

Hanlin Tang, Yifu Sun, Decheng Wu, Kai Liu, Jianchen Zhu, Zhanhui Kang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities.

Zhe Zhao, Yudong Li, Cheng Hou, Jing Zhao, Rong Tian, Weijie Liu, Yiren Chen, Ningyuan Sun, Haoyan Liu, Weiquan Mao, Han Guo, Weigang Guo, Taiqiang Wu, Tao Zhu, Wenhang Shi, Chen Chen, Shan Huang, Sihong Chen, Liqun Liu, Feifei Li, Xiaoshuai Chen, Xingwu Sun, Zhanhui Kang, Xiaoyong Du, Linlin Shen, Kimmo Yan

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

2022

BagFormer: Better Cross-Modal Retrieval via bag-wise interaction.

Haowen Hou, Xiaopeng Yan, Yigeng Zhang, Fengzong Lian, Zhanhui Kang

CoRR, 2022

MKQ-BERT: Quantized BERT with 4-bits Weights and Activations.

Hanlin Tang, Xipeng Zhang, Kai Liu, Jianchen Zhu, Zhanhui Kang

CoRR, 2022

An Anchor-based Relative Position Embedding Method for Cross-Modal Tasks.

Ya Wang, Xingwu Sun, Fengzong Lian, Zhanhui Kang, Chengzhong Xu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Multimodal Product Identification: Submission to Watch and Buy 2021 Challenge.

Jun Peng, Su Feng, Ya Wang, Haowen Hou, Fengzong Lian, Zhanhui Kang

Proceedings of the WAB'21: Proceedings of the 1st Workshop on Multimodal Product Identification in Livestreaming and WAB Challenge, 2021

TexSmart: A System for Enhanced Natural Language Understanding.

Lemao Liu, Haisong Zhang, Haiyun Jiang, Yangming Li, Enbo Zhao, Kun Xu, Linfeng Song, Suncong Zheng, Botong Zhou, Dick Zhu, Xiao Feng, Tao Chen, Tao Yang, Dong Yu, Feng Zhang, Zhanhui Kang, Shuming Shi

Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

TexSmart: A Text Understanding System for Fine-Grained NER and Enhanced Semantic Analysis.

Haisong Zhang, Lemao Liu, Haiyun Jiang, Yangming Li, Enbo Zhao, Kun Xu, Linfeng Song, Suncong Zheng, Botong Zhou, Jianchen Zhu, Xiao Feng, Tao Chen, Tao Yang, Dong Yu, Feng Zhang, Zhanhui Kang, Shuming Shi

CoRR, 2020

STH: Spatio-Temporal Hybrid Convolution for Efficient Action Recognition.

Xu Li, Jingwen Wang, Lin Ma, Kaihao Zhang, Fengzong Lian, Zhanhui Kang, Jinjun Wang

CoRR, 2020

2015

Semantic Matching in APP Search.

Juchao Zhuo, Zeqian Huang, Yunfeng Liu, Zhanhui Kang, Xun Cao, Mingzhi Li, Long Jin

Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015