Zheng Lin

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 59

Top Topics

Heterogeneous Data

Event Extraction

Question Answering

Top Venues

EMNLP (Findings)

Publications

Zheng Lin, Bin Guo, Sicong Liu, Wentao Zhou, Yasan Ding, Yu Zhang, Zhiwen Yu
AdaOper: Energy-efficient and Responsive Concurrent DNN Inference on Mobile Devices. CoRR (2024)
Jinbo Peng, Zhe Chen, Zheng Lin, Haoxuan Yuan, Zihan Fang, Lingzhong Bao, Zihang Song, Ying Li, Jing Ren, Yue Gao
Sums: Sniffing Unknown Multiband Signals under Low Sampling Rates. CoRR (2024)
Zihan Fang, Zheng Lin, Zhe Chen, Xianhao Chen, Yue Gao, Yuguang Fang
Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models. CoRR (2024)
Sicong Liu, Wentao Zhou, Zimu Zhou, Bin Guo, Minfan Wang, Cheng Fang, Zheng Lin, Zhiwen Yu
Deep Learning Inference on Heterogeneous Mobile Processors: Potentials and Pitfalls. CoRR (2024)
Jianfeng Li, Zheng Lin, Xiaobo Ma, Jianhao Li, Jian Qu, Xiapu Luo, Xiaohong Guan
DNSScope: Fine-Grained DNS Cache Probing for Remote Network Activity Characterization. INFOCOM (2024)
Zheng Lin, Bin Guo, Sicong Liu, Wentao Zhou, Yasan Ding, Yu Zhang, Zhiwen Yu
AdaOper: Energy-efficient and Responsive Concurrent DNN Inference on Mobile Devices. AdaAIoTSys@MobiSys (2024)
Qianru Shen, Hailun Lin, Huan Liu, Zheng Lin, Weiping Wang
Watch and Read! A Visual Relation-Aware and Textual Evidence Enhanced Model for Multimodal Relation Extraction. CSCWD (2024)
Guanqiao Qu, Zheng Lin, Qian Chen, Jian Li, Fangming Liu, Xianhao Chen, Kaibin Huang
TrimCaching: Parameter-sharing Edge Caching for AI Model Downloading. CoRR (2024)
Zheng Lin, Guanqiao Qu, Wei Wei, Xianhao Chen, Kin K. Leung
AdaptSFL: Adaptive Split Federated Learning in Resource-constrained Edge Networks. CoRR (2024)
Zheng Lin, Guanqiao Qu, Xianhao Chen, Kaibin Huang
Split Learning in 6G Edge Networks. IEEE Wirel. Commun. 31 (4) (2024)
Jiangnan Li, Qiujing Wang, Liyan Xu, Wenjie Pang, Mo Yu, Zheng Lin, Weiping Wang, Jie Zhou
Previously on the Stories: Recap Snippet Identification for Story Reading. CoRR (2024)
Zheng Lin, Xuanjie Hu, Yuxin Zhang, Zhe Chen, Zihan Fang, Xianhao Chen, Ang Li, Praneeth Vepakomma, Yue Gao
SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large Language Models. CoRR (2024)
Zheng Lin, Zhenxing Niu, Zhibin Wang, Yinghui Xu
Interpreting and Mitigating Hallucination in MLLMs through Multi-agent Debate. CoRR (2024)
Yuhang Qiu, Honghui Chen, Xingbo Dong, Zheng Lin, Iman Yi Liao, Massimo Tistarelli, Zhe Jin
IFViT: Interpretable Fixed-Length Representation for Fingerprint Matching via Vision Transformer. CoRR (2024)
Haoxuan Yuan, Zhe Chen, Zheng Lin, Jinbo Peng, Zihan Fang, Yuhang Zhong, Zihang Song, Yue Gao
SATSense: Multi-Satellite Collaborative Framework for Spectrum Sensing. CoRR (2024)
Zhiyuan Zhao, Zhe Chen, Zheng Lin, Wenjun Zhu, Kun Qiu, Chaoqun You, Yue Gao
LEO Satellite Networks Assisted Geo-distributed Data Processing. CoRR (2024)
Peize Li, Qingyi Si, Peng Fu, Zheng Lin, Yan Wang
Object Attribute Matters in Visual Question Answering. CoRR (2024)
Guanqiao Qu, Zheng Lin, Fangming Liu, Xianhao Chen, Kaibin Huang
TrimCaching: Parameter-sharing AI Model Caching in Wireless Edge Networks. CoRR (2024)
Sicong Liu, Wentao Zhou, Zimu Zhou, Bin Guo, Minfan Wang, Cheng Fang, Zheng Lin, Zhiwen Yu
Deep Learning Inference on Heterogeneous Mobile Processors: Potentials and Pitfalls. AdaAIoTSys@MobiSys (2024)
Yuxin Zhang, Haoyu Chen, Zheng Lin, Zhe Chen, Jin Zhao
FedAC: An Adaptive Clustered Federated Learning Framework for Heterogeneous Data. CoRR (2024)
Zheng Lin, Neng Zhang
An Empirical Study of ChatGPT-related projects on GitHub. CoRR (2024)
Guanqiao Qu, Qiyuan Chen, Wei Wei, Zheng Lin, Xianhao Chen, Kaibin Huang
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey. CoRR (2024)
Jun Pan, Changxu Shao, Yuefang Dai, Yimin Wei, Wenhua Chen, Zheng Lin
Research on Fault Prediction Method of Elevator Door System Based on Transfer Learning. Sensors 24 (7) (2024)
Zheng Lin, Zhe Chen, Zihan Fang, Xianhao Chen, Xiong Wang, Yue Gao
FedSN: A General Federated Learning Framework over LEO Satellite Networks. CoRR (2023)
Mingyu Zheng, Yang Hao, Wenbin Jiang, Zheng Lin, Yajuan Lyu, Qiaoqiao She, Weiping Wang
IM-TQA: A Chinese Table Question Answering Dataset with Implicit and Multi-type Table Structures. ACL (1) (2023)
Yuhang Liang, Zheng Lin, Fengcheng Yuan, Hanwen Zhang, Lei Wang, Weiping Wang
Towards Polymorphic Adversarial Examples Generation for Short Text. ICASSP (2023)
Yingxin Gao, Yanmei Zhang, Zheng Lin, Aihua Jiang
Bitcoin Price Manipulation Regulation from a Game Perspective. J. Soc. Comput. 4 (4) (2023)
Zheng Lin, Guanqiao Qu, Qiyuan Chen, Xianhao Chen, Zhe Chen, Kaibin Huang
Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities. CoRR (2023)
Mingyu Zheng, Hao Yang, Wenbin Jiang, Zheng Lin, Yajuan Lyu, Qiaoqiao She, Weiping Wang
Chain-of-Thought Reasoning in Tabular Language Models. EMNLP (Findings) (2023)
Lanrui Wang, Jiangnan Li, Chenxu Yang, Zheng Lin, Weiping Wang
Enhancing Empathetic and Emotion Support Dialogue Generation with Prophetic Commonsense Inference. CoRR (2023)
Guanqun Bi, Lei Shen, Yanan Cao, Meng Chen, Yuqiang Xie, Zheng Lin, Xiaodong He
DiffusEmp: A Diffusion Model-Based Framework with Multi-Grained Control for Empathetic Response Generation. CoRR (2023)
Guanqun Bi, Lei Shen, Yanan Cao, Meng Chen, Yuqiang Xie, Zheng Lin, Xiaodong He
DiffusEmp: A Diffusion Model-Based Framework with Multi-Grained Control for Empathetic Response Generation. ACL (1) (2023)
Zheng Lin, Guanqiao Qu, Xianhao Chen, Kaibin Huang
Split Learning in 6G Edge Networks. CoRR (2023)
Huan Li, Feng Xu, Zheng Lin
ET-DM: Text to image via diffusion model with efficient Transformer. Displays 80 (2023)
Zheng Lin, Guangyu Zhu, Yiqin Deng, Xianhao Chen, Yue Gao, Kaibin Huang, Yuguang Fang
Efficient Parallel Split Learning over Resource-constrained Wireless Edge Networks. CoRR (2023)
Chenxu Yang, Zheng Lin, Lanrui Wang, Chong Tian, Liang Pang, Jiangnan Li, Qirong Ho, Yanan Cao, Weiping Wang
Multi-level Adaptive Contrastive Learning for Knowledge Internalization in Dialogue Generation. CoRR (2023)
Chenxu Yang, Zheng Lin, Lanrui Wang, Chong Tian, Liang Pang, Jiangnan Li, Qirong Ho, Yanan Cao, Weiping Wang
Multi-level Adaptive Contrastive Learning for Knowledge Internalization in Dialogue Generation. EMNLP (2023)
Song Lyu, Zheng Lin, Guanqiao Qu, Xianhao Chen, Xiaoxia Huang, Pan Li
Optimal Resource Allocation for U-Shaped Parallel Split Learning. CoRR (2023)
Song Lyu, Zheng Lin, Guanqiao Qu, Xianhao Chen, Xiaoxia Huang, Pan Li
Optimal Resource Allocation for U-Shaped Parallel Split Learning. GLOBECOM (Workshops) (2023)
Wei Gao, Jiangrong Shen, Yipeng Lin, Kejun Wang, Zheng Lin, Huajin Tang, Xiaodong Chen
Sequential sparse autoencoder for dynamic heading representation in ventral intraparietal area. Comput. Biol. Medicine 163 (2023)
Qingyi Si, Tong Wang, Zheng Lin, Xu Zhang, Yanan Cao, Weiping Wang
An Empirical Study of Instruction-tuning Large Language Models in Chinese. EMNLP (Findings) (2023)
Haoxuan Yuan, Zhe Chen, Zheng Lin, Jinbo Peng, Zihan Fang, Yuhang Zhong, Zihang Song, Xiong Wang, Yue Gao
Graph Learning for Multi-Satellite based Spectrum Sensing. ICCT (2023)
Zhengxiao Liu, Bowen Shen, Zheng Lin, Fali Wang, Weiping Wang
Maximum Entropy Loss, the Silver Bullet Targeting Backdoor Attacks in Pre-trained Language Models. ACL (Findings) (2023)
Lanrui Wang, Jiangnan Li, Zheng Lin, Fandong Meng, Chenxu Yang, Weiping Wang, Jie Zhou
Empathetic Dialogue Generation via Sensitive Emotion Recognition and Sensible Knowledge Selection. EMNLP (Findings) (2022)
Bowen Shen, Zheng Lin, Yuanxin Liu, Zhengxiao Liu, Lei Wang, Weiping Wang
COST-EFF: Collaborative Optimization of Spatial and Temporal Efficiency with Slenderized Multi-exit Language Models. CoRR (2022)
Lanrui Wang, Jiangnan Li, Zheng Lin, Fandong Meng, Chenxu Yang, Weiping Wang, Jie Zhou
Empathetic Dialogue Generation via Sensitive Emotion Recognition and Sensible Knowledge Selection. CoRR (2022)
Chenxu Yang, Zheng Lin, Jiangnan Li, Fandong Meng, Weiping Wang, Lanrui Wang, Jie Zhou
TAKE: Topic-shift Aware Knowledge sElection for Dialogue Generation. COLING (2022)
Qingyi Si, Fandong Meng, Mingyu Zheng, Zheng Lin, Yuanxin Liu, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou
Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA. CoRR (2022)
Rui Liu, Zheng Lin, Huishan Ji, Jiangnan Li, Peng Fu, Weiping Wang
Target Really Matters: Target-aware Contrastive Learning and Consistency Regularization for Few-shot Stance Detection. COLING (2022)
Qingyi Si, Yuanxin Liu, Fandong Meng, Zheng Lin, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou
Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning. EMNLP (Findings) (2022)
Bowen Shen, Zheng Lin, Yuanxin Liu, Zhengxiao Liu, Lei Wang, Weiping Wang
COST-EFF: Collaborative Optimization of Spatial and Temporal Efficiency with Slenderized Multi-exit Language Models. EMNLP (2022)
Yutong Tan, Zheng Lin, Peng Fu, Mingyu Zheng, Lanrui Wang, Yanan Cao, Weiping Wang
Detach and Attach: Stylized Image Captioning without Paired Stylized Dataset. ACM Multimedia (2022)
Yutong Tan, Zheng Lin, Huan Liu, Fan Zuo
Improving Stylized Image Captioning with Better Use of Transformer. ICANN (3) (2022)
Yubing Ren, Yanan Cao, Fang Fang, Ping Guo, Zheng Lin, Wei Ma, Yi Liu
CLIO: Role-interactive Multi-event Head Attention Network for Document-level Event Extraction. COLING (2022)
Qingyi Si, Yuanxin Liu, Zheng Lin, Peng Fu, Weiping Wang
Compressing And Debiasing Vision-Language Pre-Trained Models for Visual Question Answering. CoRR (2022)
Ye Jiang, Daosen Zhai, Mengke Yang, Zheng Lin, Yuanzhan Li
Non-position-based UAV trajectory optimization for coverage maximization. DroneCom@MobiCom (2022)
Qingyi Si, Fandong Meng, Mingyu Zheng, Zheng Lin, Yuanxin Liu, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou
Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA. EMNLP (Findings) (2022)
Rui Liu, Zheng Lin, Yutong Tan, Weiping Wang
Enhancing Zero-shot and Few-shot Stance Detection with Commonsense Knowledge Graph. ACL/IJCNLP (Findings) (2021)
Dongmei Zhi, Vince D. Calhoun, Chuanyue Wang, Xianbin Li, Xiaohong Ma, Luxian Lv, Weizheng Yan, Dongren Yao, Shile Qi, Rongtao Jiang, Jianlong Zhao, Xiao Yang, Zheng Lin, Yujin Zhang, Young Chul Chung, Chuanjun Zhuo, Jing Sui
BNCPL: Brain-Network-based Convolutional Prototype Learning for Discriminating Depressive Disorders. EMBC (2021)
Jarree Chaicharn, Zheng Lin, Maida Chen, Thomas G. Keens, Sally L. Davidson Ward, Michael C. K. Khoo
Time-varying closed-loop modeling of autonomic control in pediatric Obstructive Sleep Apnea Syndrome during cold face stimulation. EMBC (2006)
Zheng Lin, Jesse S. Jin, Hugues Talbot
Unseeded Region Growing for 3D Image Segmentation. VIP (2000)