Zhanhui Kang

According to our database, Zhanhui Kang authored at least 59 papers between 2015 and 2025.

Collaborative distances:

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

2025

ID-centric Pre-training for Recommendation.

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

ACM Trans. Inf. Syst., September, 2025

Adaptive Termination for Multi-round Parallel Reasoning: An Universal Semantic Entropy-Guided Framework.

Zenan Xu, Zexuan Qiu, Guanhua Huang, Kun Li, Siheng Li, Chenchen Zhang, Kejiao Li, Qi Yi, Yuhao Jiang, Bo Zhou, Fengzong Lian, Zhanhui Kang

CoRR, July, 2025

Fighting Fire with Fire (F3): A Training-free and Efficient Visual Adversarial Example Purification Method in LVLMs.

Yudong Zhang, Ruobing Xie, Yiqing Huang, Jiansheng Chen, Xingwu Sun, Zhanhui Kang, Di Wang, Yu Wang

CoRR, June, 2025

The Security Threat of Compressed Projectors in Large Vision-Language Models.

Yudong Zhang, Ruobing Xie, Xingwu Sun, Jiansheng Chen, Zhanhui Kang, Di Wang, Yu Wang

CoRR, June, 2025

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason.

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

CoRR, May, 2025

Hunyuan-TurboS: Advancing Large Language Models through Mamba-Transformer Synergy and Adaptive Chain-of-Thought.

Ao Liu, Botong Zhou, Can Xu, Chayse Zhou, Chenchen Zhang, Chengcheng Xu, Chenhao Wang, Decheng Wu, Dengpeng Wu, Dian Jiao, Dong Du, Dong Wang, Feng Zhang, Fengzong Lian, Guanghui Xu, Guanwei Zhang, Hai Wang, Haipeng Luo, Han Hu, Huilin Xu, Jiajia Wu, Jianchen Zhu, Jianfeng Yan, Jiaqi Zhu, Jihong Zhang, Jinbao Xue, Jun Xia, Junqiang Zheng, Kai Liu, Kai Zhang, Kai Zheng, Kejiao Li, Keyao Wang, Lan Jiang, Lixin Liu, Lulu Wu, Mengyuan Huang, Peijie Yu, Peiqi Wang, Qian Wang, Qianbiao Xiang, Qibin Liu, Qingfeng Sun, Richard Guo, Ruobing Xie, Saiyong Yang, Shaohua Chen, Shihui Hu, Shuai Li, Shuaipeng Li, Shuang Chen, Suncong Zheng, Tao Yang, Tian Zhang, Tinghao Yu, Weidong Han, Weijie Liu, Weijin Zhou, Weikang Wang, Wesleye Chen, Xiao Feng, Xiaoqin Ren, Xingwu Sun, Xiong Kuang, Xuemeng Huang, Xun Cao, Yanfeng Chen, Yang Du, Yang Zhen, Yangyu Tao, Yaping Deng, Yi Shen, Yigeng Hong, Yiqi Chen, Yiqing Huang, Yuchi Deng, Yue Mao, Yulong Wang, Yuyuan Zeng, Zenan Xu, Zhanhui Kang, Zhe Zhao, Zhenxiang Yan, Zheng Fang, Zhichao Hu, Zhongzhi Chen, Zhuoyu Li, Zongwei Li, Alex Yan, Ande Liang, Baitong Liu, Beiping Pan, Bin Xing, Binghong Wu, Bingxin Qu, Bolin Ni, Boyu Wu, Chen Li, Cheng Jiang

CoRR, May, 2025

Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training.

Xinsong Zhang, Yarong Zeng, Xinting Huang, Hu Hu, Runquan Xie, Han Hu, Zhanhui Kang

CoRR, April, 2025

Large Language Model Empowered Recommendation Meets All-domain Continual Pre-Training.

Haokai Ma, Yunshan Ma, Ruobing Xie, Lei Meng, Jialie Shen, Xingwu Sun, Zhanhui Kang, Tat-Seng Chua

CoRR, April, 2025

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

ACM Trans. Inf. Syst., March, 2025

TransMamba: Flexibly Switching between Transformer and Mamba.

Yixing Li, Ruobing Xie, Zhen Yang, Xingwu Sun, Shuaipeng Li, Weidong Han, Zhanhui Kang, Yu Cheng, Cheng-Zhong Xu, Di Wang, Jie Jiang

CoRR, March, 2025

PatchRec: Multi-Grained Patching for Efficient LLM-based Sequential Recommendation.

Jiayi Liao, Ruobing Xie, Sihang Li, Xiang Wang, Xingwu Sun, Zhanhui Kang, Xiangnan He

CoRR, January, 2025

Autonomy-of-Experts Models.

Ang Lv, Ruobing Xie, Yining Qian, Songhao Wu, Xingwu Sun, Zhanhui Kang, Di Wang, Rui Yan

CoRR, January, 2025

Scaling Laws for Floating Point Quantization Training.

Xingwu Sun, Shuaipeng Li, Ruobing Xie, Weidong Han, Kan Wu, Zhen Yang, Yixing Li, An Wang, Shuai Li, Jinbao Xue, Yu Cheng, Yangyu Tao, Zhanhui Kang, Chengzhong Xu, Di Wang, Jie Jiang

CoRR, January, 2025

Frequency-Augmented Mixture-of-Heterogeneous-Experts Framework for Sequential Recommendation.

Junjie Zhang, Ruobing Xie, Hongyu Lu, Wenqi Sun, Wayne Xin Zhao, Yu Chen, Zhanhui Kang

Proceedings of the ACM on Web Conference 2025, 2025

Multi-Grained Patch Training for Efficient LLM-based Recommendation.

Jiayi Liao, Ruobing Xie, Sihang Li, Xiang Wang, Xingwu Sun, Zhanhui Kang, Xiangnan He

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

QAVA: Query-Agnostic Visual Attack to Large Vision-Language Models.

Yudong Zhang, Ruobing Xie, Jiansheng Chen, Xingwu Sun, Zhanhui Kang, Yu Wang

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Language Models "Grok" to Copy.

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

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Continuous Speech Tokenizer in Text To Speech.

Yixing Li, Ruobing Xie, Xingwu Sun, Yu Cheng, Zhanhui Kang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

A Pre-trained Plug-in Mixture-of-LoRAs Model for Transferable Sequential Recommendation.

Wenqi Sun, Ruobing Xie, Junjie Zhang, Zitian Guo, Wayne Xin Zhao, Zhanhui Kang, Ji-Rong Wen

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

PhD: A ChatGPT-Prompted Visual Hallucination Evaluation Dataset.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Exploring Forgetting in Large Language Model Pre-Training.

Chonghua Liao, Ruobing Xie, Xingwu Sun, Haowen Sun, Zhanhui Kang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Mitigating Hallucination in Multimodal Large Language Model via Hallucination-targeted Direct Preference Optimization.

Yuhan Fu, Ruobing Xie, Xingwu Sun, Zhanhui Kang, Xirong Li

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Frozen Language Models Are Gradient Coherence Rectifiers in Vision Transformers.

Lichen Bai, Zixuan Xiong, Hai Lin, Guangwei Xu, Xiangjin Xie, Ruijie Guo, Zhanhui Kang, Haitao Zheng, Hong-Gee Kim

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Enhancing Contrastive Learning Inspired by the Philosophy of "The Blind Men and the Elephant".

Yudong Zhang, Ruobing Xie, Jiansheng Chen, Xingwu Sun, Zhanhui Kang, Yu Wang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

DHCP: Detecting Hallucinations by Cross-modal Attention Pattern in Large Vision-Language Models.

Yudong Zhang, Ruobing Xie, Jiansheng Chen, Xingwu Sun, Zhanhui Kang, Yu Wang

CoRR, 2024

More Expressive Attention with Negative Weights.

Ang Lv, Ruobing Xie, Shuaipeng Li, Jiayi Liao, Xingwu Sun, Zhanhui Kang, Di Wang, Rui Yan

CoRR, 2024

Lossless KV Cache Compression to 2%.

Zhen Yang, J. N. Han, Kan Wu, Ruobing Xie, An Wang, Xingwu Sun, Zhanhui Kang

CoRR, 2024

RosePO: Aligning LLM-based Recommenders with Human Values.

Jiayi Liao, Xiangnan He, Ruobing Xie, Jiancan Wu, Yancheng Yuan, Xingwu Sun, Zhanhui Kang, Xiang Wang

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

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