Fei Wu

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 427

Top Venues

CoRR

ACM Multimedia

AAAI

IEEE Trans. Image Process.

Publications

Yingrong Wang, Haoxuan Li, Minqin Zhu, Anpeng Wu, Ruoxuan Xiong, Fei Wu, Kun Kuang
Causal Inference with Complex Treatments: A Survey. CoRR (2024)
Ang Li, Yiquan Wu, Yifei Liu, Kun Kuang, Fei Wu, Ming Cai
Enhancing Court View Generation with Knowledge Injection and Guidance. LREC/COLING (2024)
Ziyu Zhao, Leilei Gan, Guoyin Wang, Wangchunshu Zhou, Hongxia Yang, Kun Kuang, Fei Wu
LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild. ACL (Findings) (2024)
Hongyun Yu, Zhan Qu, Qihang Yu, Jianchuan Chen, Zhonghua Jiang, Zhiwen Chen, Shengyu Zhang, Jimin Xu, Fei Wu, Chengfei Lv, Gang Yu
GaussianTalker: Speaker-specific Talking Head Synthesis via 3D Gaussian Splatting. CoRR (2024)
Yingrong Wang, Anpeng Wu, Haoxuan Li, Weiming Liu, Qiaowei Miao, Ruoxuan Xiong, Fei Wu, Kun Kuang
Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects. CoRR (2024)
Ziwei Chai, Guoyin Wang, Jing Su, Tianjie Zhang, Xuanwen Huang, Xuwu Wang, Jingjing Xu, Jianbo Yuan, Hongxia Yang, Fei Wu, Yang Yang
An Expert is Worth One Token: Synergizing Multiple Expert LLMs as Generalist via Expert Token Routing. CoRR (2024)
Ziwei Chai, Guoyin Wang, Jing Su, Tianjie Zhang, Xuanwen Huang, Xuwu Wang, Jingjing Xu, Jianbo Yuan, Hongxia Yang, Fei Wu, Yang Yang
An Expert is Worth One Token: Synergizing Multiple Expert LLMs as Generalist via Expert Token Routing. ACL (1) (2024)
Minqin Zhu, Anpeng Wu, Haoxuan Li, Ruoxuan Xiong, Bo Li, Xiaoqing Yang, Xuan Qin, Peng Zhen, Jiecheng Guo, Fei Wu, Kun Kuang
Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation. AAAI (2024)
Chengyuan Liu, Fubang Zhao, Kun Kuang, Yangyang Kang, Zhuoren Jiang, Changlong Sun, Fei Wu
Evolving Knowledge Distillation with Large Language Models and Active Learning. LREC/COLING (2024)
Haotian Wang, Kun Kuang, Long Lan, Zige Wang, Wanrong Huang, Fei Wu, Wenjing Yang
Out-of-Distribution Generalization With Causal Feature Separation. IEEE Trans. Knowl. Data Eng. 36 (4) (2024)
Wenwen Pan, Zhou Zhao, Wencan Huang, Zhu Zhang, Liyong Fu, Zhigeng Pan, Jun Yu, Fei Wu
Video Moment Retrieval With Noisy Labels. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Shengyu Zhang, Ziqi Jiang, Jiangchao Yao, Fuli Feng, Kun Kuang, Zhou Zhao, Shuo Li, Hongxia Yang, Tat-Seng Chua, Fei Wu
Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems. IEEE Trans. Knowl. Data Eng. 36 (2) (2024)
Qiaowei Miao, Junkun Yuan, Shengyu Zhang, Fei Wu, Kun Kuang
Domaindiff: Boost out-of-Distribution Generalization with Synthetic Data. ICASSP (2024)
Danyang Gao, Ming Kong, Yongrui Zhao, Jing Huang, Zhengxing Huang, Kun Kuang, Fei Wu, Qiang Zhu
Simulating doctors' thinking logic for chest X-ray report generation via Transformer-based Semantic Query learning. Medical Image Anal. 91 (2024)
Chengyuan Liu, Shihang Wang, Yangyang Kang, Lizhi Qing, Fubang Zhao, Changlong Sun, Kun Kuang, Fei Wu
More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs. CoRR (2024)
Ang Li, Qiangchao Chen, Yiquan Wu, Ming Cai, Xiang Zhou, Fei Wu, Kun Kuang
From Graph to Word Bag: Introducing Domain Knowledge to Confusing Charge Prediction. CoRR (2024)
Hongsheng Wang, Nanjie Yao, Xinrui Zhou, Shengyu Zhang, Huahao Xu, Fei Wu, Feng Lin
NOVA-3D: Non-overlapped Views for 3D Anime Character Reconstruction. CoRR (2024)
Ang Li, Qiangchao Chen, Yiquan Wu, Xiang Zhou, Kun Kuang, Fei Wu, Ming Cai
From Graph to Word Bag: Introducing Domain Knowledge to Confusing Charge Prediction. LREC/COLING (2024)
Luotian Yuan, Yemin Yu, Ying Wei, Yongwei Wang, Zhihua Wang, Fei Wu
Active Retrosynthetic Planning Aware of Route Quality. ICLR (2024)
Shengyu Zhang, Ziqi Jiang, Jiangchao Yao, Fuli Feng, Kun Kuang, Zhou Zhao, Shuo Li, Hongxia Yang, Tat-Seng Chua, Fei Wu
Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems. CoRR (2024)
Ziyu Zhao, Leilei Gan, Tao Shen, Kun Kuang, Fei Wu
Deconfounded hierarchical multi-granularity classification. Comput. Vis. Image Underst. 248 (2024)
Wang Lin, Jingyuan Chen, Jiaxin Shi, Yichen Zhu, Chen Liang, Junzhong Miao, Tao Jin, Zhou Zhao, Fei Wu, Shuicheng Yan, Hanwang Zhang
Non-confusing Generation of Customized Concepts in Diffusion Models. CoRR (2024)
Minqin Zhu, Anpeng Wu, Haoxuan Li, Ruoxuan Xiong, Bo Li, Xiaoqing Yang, Xuan Qin, Peng Zhen, Jiecheng Guo, Fei Wu, Kun Kuang
Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation. CoRR (2024)
Xueyu Hu, Kun Kuang, Jiankai Sun, Hongxia Yang, Fei Wu
Leveraging Print Debugging to Improve Code Generation in Large Language Models. CoRR (2024)
Wenyi Xiao, Ziwei Huang, Leilei Gan, Wanggui He, Haoyuan Li, Zhelun Yu, Hao Jiang, Fei Wu, Linchao Zhu
Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback. CoRR (2024)
Kun Zhang, Ilya Shpitser, Sara Magliacane, Davide Bacciu, Fei Wu, Changshui Zhang, Peter Spirtes
IEEE Transactions on Neural Networks and Learning Systems Special Issue on Causal Discovery and Causality-Inspired Machine Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Zihao Tang, Zheqi Lv, Shengyu Zhang, Fei Wu, Kun Kuang
ModelGPT: Unleashing LLM's Capabilities for Tailored Model Generation. CoRR (2024)
Hongsheng Wang, Lizao Zhang, Zhangnan Zhong, Shuolin Xu, Xinrui Zhou, Shengyu Zhang, Huahao Xu, Fei Wu, Feng Lin
RemoCap: Disentangled Representation Learning for Motion Capture. CoRR (2024)
Hanbin Zhao, Yongjian Fu, Mintong Kang, Qi Tian, Fei Wu, Xi Li
MgSvF: Multi-Grained Slow versus Fast Framework for Few-Shot Class-Incremental Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46 (3) (2024)
Hongsheng Wang, Xiang Cai, Xi Sun, Jinhong Yue, Shengyu Zhang, Feng Lin, Fei Wu
MOSS: Motion-based 3D Clothed Human Synthesis from Monocular Video. CoRR (2024)
Donghao Zhang, Zhenyu Liu, Weiqiang Jia, Fei Wu, Hui Liu, Jianrong Tan
Dual Attention Graph Convolutional Network for Relation Extraction. IEEE Trans. Knowl. Data Eng. 36 (2) (2024)
Hongsheng Wang, Weiyue Zhang, Sihao Liu, Xinrui Zhou, Shengyu Zhang, Fei Wu, Feng Lin
Gaussian Control with Hierarchical Semantic Graphs in 3D Human Recovery. CoRR (2024)
Zhenxin Li, Shuibing He, Zheng Dang, Peiyi Hong, Xuechen Zhang, Rui Wang, Fei Wu
CCL-BTree: A Crash-Consistent Locality-Aware B+-Tree for Reducing XPBuffer-Induced Write Amplification in Persistent Memory. EuroSys (2024)
Chengyuan Liu, Yangyang Kang, Fubang Zhao, Kun Kuang, Zhuoren Jiang, Changlong Sun, Fei Wu
Evolving Knowledge Distillation with Large Language Models and Active Learning. CoRR (2024)
Zihao Tang, Zheqi Lv, Shengyu Zhang, Yifan Zhou, Xinyu Duan, Fei Wu, Kun Kuang
AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation. CoRR (2024)
Yemin Yu, Luotian Yuan, Ying Wei, Hanyu Gao, Fei Wu, Zhihua Wang, Xinhai Ye
RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction. AAAI (2024)
Zhengqing Fang, Shuowen Zhou, Zhouhang Yuan, Yuxuan Si, Mengze Li, Jinxu Li, Yesheng Xu, Wenjia Xie, Kun Kuang, Yingming Li, Fei Wu, Yu-Feng Yao
Enabling Collaborative Clinical Diagnosis of Infectious Keratitis by Integrating Expert Knowledge and Interpretable Data-driven Intelligence. CoRR (2024)
Hongsheng Wang, Yang Wang, Yalan Liu, Fayuan Hu, Shengyu Zhang, Fei Wu, Feng Lin
NieR: Normal-Based Lighting Scene Rendering. CoRR (2024)
Ziyu Zhao, Leilei Gan, Guoyin Wang, Yuwei Hu, Tao Shen, Hongxia Yang, Kun Kuang, Fei Wu
Retrieval-Augmented Mixture of LoRA Experts for Uploadable Machine Learning. CoRR (2024)
Shengyu Zhang, Tan Jiang, Kun Kuang, Fuli Feng, Jin Yu, Jianxin Ma, Zhou Zhao, Jianke Zhu, Hongxia Yang, Tat-Seng Chua, Fei Wu
SLED: Structure Learning based Denoising for Recommendation. ACM Trans. Inf. Syst. 42 (2) (2024)
Ang Li, Yiquan Wu, Yifei Liu, Fei Wu, Ming Cai, Kun Kuang
Enhancing Court View Generation with Knowledge Injection and Guidance. CoRR (2024)
Min Zhang, Haoxuan Li, Fei Wu, Kun Kuang
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation. ICLR (2024)
Renqiu Xia, Song Mao, Xiangchao Yan, Hongbin Zhou, Bo Zhang, Haoyang Peng, Jiahao Pi, Daocheng Fu, Wenjie Wu, Hancheng Ye, Shiyang Feng, Bin Wang, Chao Xu, Conghui He, Pinlong Cai, Min Dou, Botian Shi, Sheng Zhou, Yongwei Wang, Bin Wang, Junchi Yan, Fei Wu, Yu Qiao
DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Language Models. CoRR (2024)
Shengyu Zhang, Qiaowei Miao, Ping Nie, Mengze Li, Zhengyu Chen, Fuli Feng, Kun Kuang, Fei Wu
Transferring Causal Mechanism over Meta-representations for Target-Unknown Cross-domain Recommendation. ACM Trans. Inf. Syst. 42 (4) (2024)
Yiquan Wu, Yifei Liu, Ziyu Zhao, Weiming Lu, Yating Zhang, Changlong Sun, Fei Wu, Kun Kuang
De-biased Attention Supervision for Text Classification with Causality. AAAI (2024)
Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu
Learning to Reweight for Generalizable Graph Neural Network. AAAI (2024)
Zihao Tang, Zheqi Lv, Shengyu Zhang, Yifan Zhou, Xinyu Duan, Fei Wu, Kun Kuang
AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation. ICLR (2024)
Kunxi Li, Tianyu Zhan, Shengyu Zhang, Kun Kuang, Jiwei Li, Zhou Zhao, Fei Wu
MergeNet: Knowledge Migration across Heterogeneous Models, Tasks, and Modalities. CoRR (2024)
Xueyu Hu, Ziyu Zhao, Shuang Wei, Ziwei Chai, Guoyin Wang, Xuwu Wang, Jing Su, Jingjing Xu, Ming Zhu, Yao Cheng, Jianbo Yuan, Kun Kuang, Yang Yang, Hongxia Yang, Fei Wu
InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks. CoRR (2024)
Ziyu Zhao, Leilei Gan, Guoyin Wang, Wangchunshu Zhou, Hongxia Yang, Kun Kuang, Fei Wu
LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild. CoRR (2024)
Min Zhang, Haoxuan Li, Fei Wu, Kun Kuang
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation. CoRR (2024)
Chun He, Xinhai Ye, Yi Yang, Liya Hu, Yuxuan Si, Xianxin Zhao, Longfei Chen, Qi Fang, Ying Wei, Fei Wu, Gongyin Ye
DeepAlgPro: an interpretable deep neural network model for predicting allergenic proteins. Briefings Bioinform. 24 (4) (2023)
Mengze Li, Haoyu Zhang, Juncheng Li, Zhou Zhao, Wenqiao Zhang, Shengyu Zhang, Shiliang Pu, Yueting Zhuang, Fei Wu
Unsupervised Domain Adaptation for Video Object Grounding with Cascaded Debiasing Learning. ACM Multimedia (2023)
Jiahao Xun, Shengyu Zhang, Yanting Yang, Jieming Zhu, Liqun Deng, Zhou Zhao, Zhenhua Dong, Ruiqi Li, Lichao Zhang, Fei Wu
DisCover: Disentangled Music Representation Learning for Cover Song Identification. CoRR (2023)
Junkun Yuan, Xu Ma, Ruoxuan Xiong, Mingming Gong, Xiangyu Liu, Fei Wu, Lanfen Lin, Kun Kuang
Instrumental Variable-Driven Domain Generalization with Unobserved Confounders. ACM Trans. Knowl. Discov. Data 17 (8) (2023)
Shengyu Zhang, Linfeng Dong, Xiaoya Li, Sen Zhang, Xiaofei Sun, Shuhe Wang, Jiwei Li, Runyi Hu, Tianwei Zhang, Fei Wu, Guoyin Wang
Instruction Tuning for Large Language Models: A Survey. CoRR (2023)
Liya Hu, Zhiang Dong, Jingyuan Chen, Guifeng Wang, Zhihua Wang, Zhou Zhao, Fei Wu
PTADisc: A Cross-Course Dataset Supporting Personalized Learning in Cold-Start Scenarios. NeurIPS (2023)
Chengyuan Liu, Fubang Zhao, Yangyang Kang, Jingyuan Zhang, Xiang Zhou, Changlong Sun, Kun Kuang, Fei Wu
RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction. EMNLP (Findings) (2023)
Jiong Wang, Zhou Zhao, Fei Wu
Set-Based Face Recognition Beyond Disentanglement: Burstiness Suppression With Variance Vocabulary. CoRR (2023)
Haoyu Geng, Runzhong Wang, Fei Wu, Junchi Yan
GAL-VNE: Solving the VNE Problem with Global Reinforcement Learning and Local One-Shot Neural Prediction. KDD (2023)
Zheqi Lv, Feng Wang, Shengyu Zhang, Wenqiao Zhang, Kun Kuang, Fei Wu
Parameters Efficient Fine-Tuning for Long-Tailed Sequential Recommendation. CICAI (1) (2023)
Didi Zhu, Yinchuan Li, Yunfeng Shao, Jianye Hao, Fei Wu, Kun Kuang, Jun Xiao, Chao Wu
Generalized Universal Domain Adaptation with Generative Flow Networks. ACM Multimedia (2023)
Haonan Shi, Wenwen Pan, Zhou Zhao, Mingmin Zhang, Fei Wu
Unsupervised Domain Adaptation for Referring Semantic Segmentation. ACM Multimedia (2023)
Yinjie Jiang, Ying Wei, Fei Wu, Zhengxing Huang, Kun Kuang, Zhihua Wang
Learning Chemical Rules of Retrosynthesis with Pre-training. AAAI (2023)
Junpeng Fang, Qing Cui, Gongduo Zhang, Caizhi Tang, Lihong Gu, Longfei Li, Jinjie Gu, Jun Zhou, Fei Wu
Alleviating Matching Bias in Marketing Recommendations. SIGIR (2023)
Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Minqing Zhu, Yuxuan Liu, Bo Li, Furui Liu, Zhihua Wang, Fei Wu
Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation. AAAI (2023)
Jiahao Xun, Shengyu Zhang, Yanting Yang, Jieming Zhu, Liqun Deng, Zhou Zhao, Zhenhua Dong, Ruiqi Li, Lichao Zhang, Fei Wu
DisCover: Disentangled Music Representation Learning for Cover Song Identification. SIGIR (2023)
Juncheng Li, Siliang Tang, Linchao Zhu, Wenqiao Zhang, Yi Yang, Tat-Seng Chua, Fei Wu, Yueting Zhuang
Variational Cross-Graph Reasoning and Adaptive Structured Semantics Learning for Compositional Temporal Grounding. IEEE Trans. Pattern Anal. Mach. Intell. 45 (10) (2023)
Zheqi Lv, Zhengyu Chen, Shengyu Zhang, Kun Kuang, Wenqiao Zhang, Mengze Li, Beng Chin Ooi, Fei Wu
IDEAL: Toward High-efficiency Device-Cloud Collaborative and Dynamic Recommendation System. CoRR (2023)
Anpeng Wu, Haoxuan Li, Kun Kuang, Keli Zhang, Fei Wu
Hierarchical Topological Ordering with Conditional Independence Test for Limited Time Series. CoRR (2023)
Zheqi Lv, Wenqiao Zhang, Shengyu Zhang, Kun Kuang, Feng Wang, Yongwei Wang, Zhengyu Chen, Tao Shen, Hongxia Yang, Beng Chin Ooi, Fei Wu
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization. WWW (2023)
Yuqing Zhang, Zhou Fang, Xinyu Yang, Shengyu Zhang, Baoyi He, Huaiyong Dou, Junchi Yan, Yongquan Zhang, Fei Wu
Reconnecting the Broken Civilization: Patchwork Integration of Fragments from Ancient Manuscripts. ACM Multimedia (2023)
Zhedong Zheng, Liang Zheng, Yi Yang, Fei Wu
U-Turn: Crafting Adversarial Queries with Opposite-Direction Features. Int. J. Comput. Vis. 131 (4) (2023)
Tianqi Zhao, Ming Kong, Tian Liang, Qiang Zhu, Kun Kuang, Fei Wu
CLAP: Contrastive Language-Audio Pre-training Model for Multi-modal Sentiment Analysis. ICMR (2023)
Fengda Zhang, Kun Kuang, Long Chen, Zhaoyang You, Tao Shen, Jun Xiao, Yin Zhang, Chao Wu, Fei Wu, Yueting Zhuang, Xiaolin Li
Federated unsupervised representation learning. Frontiers Inf. Technol. Electron. Eng. 24 (8) (2023)
Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation. ICDE (2023)
Yemin Yu, Luotian Yuan, Ying Wei, Hanyu Gao, Xinhai Ye, Zhihua Wang, Fei Wu
RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction. CoRR (2023)
Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Bo Li, Fei Wu
Stable Estimation of Heterogeneous Treatment Effects. ICML (2023)
Junkun Yuan, Xu Ma, Defang Chen, Fei Wu, Lanfen Lin, Kun Kuang
Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Dong Yao, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Wenqiao Zhang, Rui Zhang, Xiaofei He, Fei Wu
Denoising Multi-modal Sequential Recommenders with Contrastive Learning. CoRR (2023)
Shengyu Zhang, Fuli Feng, Kun Kuang, Wenqiao Zhang, Zhou Zhao, Hongxia Yang, Tat-Seng Chua, Fei Wu
Personalized Latent Structure Learning for Recommendation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Yiquan Wu, Weiming Lu, Yating Zhang, Adam Jatowt, Jun Feng, Changlong Sun, Fei Wu, Kun Kuang
Focus-aware Response Generation in Inquiry Conversation. ACL (Findings) (2023)
Yunze Tong, Junkun Yuan, Min Zhang, Didi Zhu, Keli Zhang, Fei Wu, Kun Kuang
Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization. KDD (2023)
Mengze Li, Tianbao Wang, Jiahe Xu, Kairong Han, Shengyu Zhang, Zhou Zhao, Jiaxu Miao, Wenqiao Zhang, Shiliang Pu, Fei Wu
Multi-modal Action Chain Abductive Reasoning. ACL (1) (2023)
Yiquan Wu, Siying Zhou, Yifei Liu, Weiming Lu, Xiaozhong Liu, Yating Zhang, Changlong Sun, Fei Wu, Kun Kuang
Precedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaboration. CoRR (2023)
Kairui Fu, Qiaowei Miao, Shengyu Zhang, Kun Kuang, Fei Wu
End-to-End Optimization of Quantization-Based Structure Learning and Interventional Next-Item Recommendation. CICAI (1) (2023)
Pengcheng Zhang, Wenrui Liu, Ning Wang, Ran Shen, Gang Sun, Xinghua Jiang, Zheqian Chen, Fei Wu, Zhou Zhao
Sequential Style Consistency Learning for Domain-Generalizable Text Recognition. CICAI (1) (2023)
Liya Hu, Xinyi Yang, Yuxuan Si, Jingyuan Chen, Xinhai Ye, Zhihua Wang, Fei Wu
Attention-Based RNA Secondary Structure Prediction. CICAI (2) (2023)
Yifei Liu, Yiquan Wu, Yating Zhang, Changlong Sun, Weiming Lu, Fei Wu, Kun Kuang
ML-LJP: Multi-Law Aware Legal Judgment Prediction. SIGIR (2023)
Mingze Yang, Hai Zhu, Runzhe Zhu, Fei Wu, Ling Yin, Yuncheng Yang
WiTransformer: A Novel Robust Gesture Recognition Sensing Model with WiFi. Sensors 23 (5) (2023)
Chengyuan Liu, Fubang Zhao, Lizhi Qing, Yangyang Kang, Changlong Sun, Kun Kuang, Fei Wu
A Chinese Prompt Attack Dataset for LLMs with Evil Content. CoRR (2023)
Yujie Lu, Yingxuan Huang, Shengyu Zhang, Wei Han, Hui Chen, Wenyan Fan, Jiangliang Lai, Zhou Zhao, Fei Wu
Multi-trends Enhanced Dynamic Micro-video Recommendation. CICAI (1) (2023)
Shuhe Wang, Xiaofei Sun, Xiaoya Li, Rongbin Ouyang, Fei Wu, Tianwei Zhang, Jiwei Li, Guoyin Wang
GPT-NER: Named Entity Recognition via Large Language Models. CoRR (2023)
Xiaofei Sun, Xiaoya Li, Shengyu Zhang, Shuhe Wang, Fei Wu, Jiwei Li, Tianwei Zhang, Guoyin Wang
Sentiment Analysis through LLM Negotiations. CoRR (2023)
Jiangchao Yao, Shengyu Zhang, Yang Yao, Feng Wang, Jianxin Ma, Jianwei Zhang, Yunfei Chu, Luo Ji, Kunyang Jia, Tao Shen, Anpeng Wu, Fengda Zhang, Ziqi Tan, Kun Kuang, Chao Wu, Fei Wu, Jingren Zhou, Hongxia Yang
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
Runzhe Zhu, Mingze Yang, Ling Yin, Fei Wu, Yuncheng Yang
UAV's Status Is Worth Considering: A Fusion Representations Matching Method for Geo-Localization. Sensors 23 (2) (2023)
Yuxuan Liu, Kun Kuang, Fengda Zhang, Fei Wu
FairDR: Ensuring Fairness in Mixed Data of Fairly and Unfairly Treated Instances. CICAI (2) (2023)
Jiajie Su, Chaochao Chen, Weiming Liu, Fei Wu, Xiaolin Zheng, Haoming Lyu
Enhancing Hierarchy-Aware Graph Networks with Deep Dual Clustering for Session-based Recommendation. WWW (2023)
Yucheng Shi, Kunhong Wu, Yahong Han, Yunfeng Shao, Bingshuai Li, Fei Wu
Source-free and black-box domain adaptation via distributionally adversarial training. Pattern Recognit. 143 (2023)
Kun Kuang, Haotian Wang, Yue Liu, Ruoxuan Xiong, Runze Wu, Weiming Lu, Yueting Zhuang, Fei Wu, Peng Cui, Bo Li
Stable Prediction With Leveraging Seed Variable. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)

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Publication Activity (10 Years)

Top Topics

Top Venues

Fei Wu