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ORCIDFei Wu 0001
Person information
- affiliation: Zhejiang University, College of Computer Science and Technology, Hangzhou, China
Other persons with the same name
- Fei Wu — disambiguation page
- Fei Wu 0002 — University of Stuttgart, Germany
- Fei Wu 0003 — Google Research, Mountain View, CA, USA (and 1 more)
- Fei Wu 0004
![[0000-0001-5498-4947]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-5498-4947")
— Nanjing University of Posts and Telecommunications, College of Automation, Nanjing, China (and 1 more) - Fei Wu 0005 — Huazhong University of Science and Technology, Key Lab of Data Storage Systems, Wuhan, China (and 1 more)
- Fei Wu 0006 — Shanghai University of Engineering Science, Shanghai, China (and 1 more)
- Fei Wu 0007 — Pennsylvania State University, College of Information Science and Technology, State College, PA, USA
- Fei Wu 0008 — Ohio State University, Columbus, OH, USA
- Fei Wu 0009 — Versailles Saint-Quentin-en-Yvelines University, France
- Fei Wu 0010 — Zhejiang University, Institute of Information and Communication Engineering, Hangzhou, China
- Fei Wu 0011 — Tsinghua University, Department of Automation, Beijing, China
- Fei Wu 0012 — CUHK, Hong Kong
- Fei Wu 0013 — University of Electronic Science and Technology of China, Chengdu, China
- Fei Wu 0014 — CAS, Institute of Remote Sensing Applications, Beijing, China
- Fei Wu 0015 — Jilin University, Changchun, China
- Fei Wu 0016 — South China University of Technology, College of Automation Science and Engineering, Guangzhou, China
- Fei Wu 0017 — Sichuan University, Chengdu, China
- Fei Wu 0018 — Zhengzhou University, School of Information Engineering, Zhengzhou, China
- Fei Wu 0019 — National Unviersity of Singapore, Department of Physics, Singapore
- Fei Wu 0020 — Beijing University of Technology, College of Metropolitan Transportation, Beijing, China
- Fei Wu 0021 — Beijing Institute of Technology, School of Automation, Beijing, China
- Fei Wu 0022 — University of Massachusetts, Boston, MA, USA
- Fei Wu 0023 — Beijing University of Chemical Technology, Beijing, China
- Fei Wu 0024 — Southeast University, School of Automation, Nanjing, China
- Fei Wu 0025 — University of Erlangen-Nuremberg, Department of Computer Science, Erlangen, Germany
- Fei Wu 0026 — ZheJiang University of Technology, College of Computer Science and Technology, HangZhou, China
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2020 – today
- 2025
[c276]Yinghao Hu, Leilei Gan, Wenyi Xiao, Kun Kuang, Fei Wu:
Fine-tuning Large Language Models for Improving Factuality in Legal Question Answering. COLING 2025: 4410-4427- 2024
- [j144]Ziyu Zhao, Leilei Gan, Tao Shen, Kun Kuang, Fei Wu:
Deconfounded hierarchical multi-granularity classification. Comput. Vis. Image Underst. 248: 104108 (2024) - [j143]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: 102982 (2024) - [j142]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): 1576-1588 (2024) - [j141]Fengda Zhang, Zitao Shuai, Kun Kuang, Fei Wu, Yueting Zhuang, Jun Xiao:
Unified fair federated learning for digital healthcare. Patterns 5(1): 100907 (2024) - [j140]Ziyu Zhao, Yuqi Bai, Ruoxuan Xiong, Qingyu Cao, Chao Ma, Ning Jiang, Fei Wu, Kun Kuang:
Learning Individual Treatment Effects under Heterogeneous Interference in Networks. ACM Trans. Knowl. Discov. Data 18(8): 199:1-199:21 (2024) - [j139]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): 459-474 (2024) - [j138]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): 530-543 (2024) - [j137]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): 1758-1772 (2024) - [j136]Jiannan Guo, Yangyang Kang, Xiaolin Li, Wenqiao Zhang, Kun Kuang, Changlong Sun, Siliang Tang, Fei Wu:
Unleash the Power of Inconsistency-Based Semi-Supervised Active Learning by Dynamic Programming of Curriculum Learning. IEEE Trans. Knowl. Data Eng. 36(11): 7268-7282 (2024) - [j135]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): 4899-4901 (2024) - [j134]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): 6779-6791 (2024) - [j133]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): 43:1-43:31 (2024) - [j132]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): 103:1-103:27 (2024) - [c275]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: 374-382 - [c274]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: 8320-8328 - [c273]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: 17175-17183 - [c272]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: 19279-19287 - [c271]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: 4447-4462 - [c270]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: 11385-11396 - [c269]Ang Li, Yiquan Wu, Yifei Liu, Kun Kuang, Fei Wu, Ming Cai:
Enhancing Court View Generation with Knowledge Injection and Guidance. LREC/COLING 2024: 5896-5906 - [c268]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: 6717-6731 - [c267]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: 7469-7479 - [c266]Jimin Xu, Tianbao Wang, Tao Jin, Shengyu Zhang, Dongjie Fu, Zhe Wang, Jiangjing Lyu, Chengfei Lv, Chaoyue Niu, Zhou Yu, Zhou Zhao, Fei Wu:
MPOD123: One Image to 3D Content Generation Using Mask-Enhanced Progressive Outline-to-Detail Optimization. CVPR 2024: 10682-10692 - [c265]Yuqing Zhang, Hangqi Li, Shengyu Zhang, Runzhong Wang, Baoyi He, Huaiyong Dou, Junchi Yan, Yongquan Zhang, Fei Wu:
LLMCO4MR: LLMs-Aided Neural Combinatorial Optimization for Ancient Manuscript Restoration from Fragments with Case Studies on Dunhuang. ECCV (75) 2024: 253-269 - [c264]Yuqing Zhang, Baoyi He, Yihan Chen, Hangqi Li, Han Yue, Shengyu Zhang, Huaiyong Dou, Junchi Yan, Zemin Liu, Yongquan Zhang, Fei Wu:
PhiloGPT: A Philology-Oriented Large Language Model for Ancient Chinese Manuscripts with Dunhuang as Case Study. EMNLP 2024: 2784-2801 - [c263]Chengyuan Liu, Shihang Wang, Lizhi Qing, Kun Kuang, Yangyang Kang, Changlong Sun, Fei Wu:
Gold Panning in Vocabulary: An Adaptive Method for Vocabulary Expansion of Domain-Specific LLMs. EMNLP 2024: 7442-7459 - [c262]Chengyuan Liu, Yangyang Kang, Shihang Wang, Lizhi Qing, Fubang Zhao, Chao Wu, Changlong Sun, Kun Kuang, Fei Wu:
More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs. EMNLP 2024: 7531-7548 - [c261]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: 441-455 - [c260]Qiaowei Miao, Junkun Yuan, Shengyu Zhang, Fei Wu, Kun Kuang:
Domaindiff: Boost out-of-Distribution Generalization with Synthetic Data. ICASSP 2024: 5640-5644 - [c259]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 - [c258]Luotian Yuan, Yemin Yu, Ying Wei, Yongwei Wang, Zhihua Wang, Fei Wu:
Active Retrosynthetic Planning Aware of Route Quality. ICLR 2024 - [c257]Min Zhang, Haoxuan Li, Fei Wu, Kun Kuang:
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation. ICLR 2024 - [c256]Xueyu Hu, Ziyu Zhao, Shuang Wei, Ziwei Chai, Qianli Ma, Guoyin Wang, Xuwu Wang, Jing Su, Jingjing Xu, Ming Zhu, Yao Cheng, Jianbo Yuan, Jiwei Li, Kun Kuang, Yang Yang, Hongxia Yang, Fei Wu:
InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks. ICML 2024 - [c255]Baohong Li, Haoxuan Li, Ruoxuan Xiong, Anpeng Wu, Fei Wu, Kun Kuang:
Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias. ICML 2024 - [c254]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. ICML 2024 - [c253]Anpeng Wu, Haoxuan Li, Kun Kuang, Keli Zhang, Fei Wu:
Learning Causal Relations from Subsampled Time Series with Two Time-Slices. ICML 2024 - [c252]Yu Zhao, Lina Gong, Zhiqiu Huang, Yongwei Wang, Mingqiang Wei, Fei Wu:
Coding-PTMs: How to Find Optimal Code Pre-trained Models for Code Embedding in Vulnerability Detection? ASE 2024: 1732-1744 - [c251]Zhouhang Yuan, Zhengqing Fang, Zhengxing Huang, Fei Wu, Yu-Feng Yao, Yingming Li:
Adapting Pre-trained Generative Model to Medical Image for Data Augmentation. MICCAI (5) 2024: 79-89 - [c250]Zhengyao Ding, Yujian Hu, Hongkun Zhang, Fei Wu, Shifeng Yang, Xiaolong Du, Yilang Xiang, Tian Li, Xuesen Chu, Zhengxing Huang:
Physical-Priors-Guided Aortic Dissection Detection Using Non-Contrast-Enhanced CT Images. MICCAI (7) 2024: 551-561 - [c249]Tao Wu, Mengze Li, Jingyuan Chen, Wei Ji, Wang Lin, Jinyang Gao, Kun Kuang, Zhou Zhao, Fei Wu:
Semantic Alignment for Multimodal Large Language Models. ACM Multimedia 2024: 3489-3498 - [c248]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. ACM Multimedia 2024: 3548-3557 - [c247]Zheqi Lv, Shaoxuan He, Tianyu Zhan, Shengyu Zhang, Wenqiao Zhang, Jingyuan Chen, Zhou Zhao, Fei Wu:
Semantic Codebook Learning for Dynamic Recommendation Models. ACM Multimedia 2024: 9611-9620 - [c246]Yifei Liu, Yiquan Wu, Ang Li, Yating Zhang, Changlong Sun, Weiming Lu, Fei Wu, Kun Kuang:
Unleashing the Power of LLMs in Court View Generation by Stimulating Internal Knowledge and Incorporating External Knowledge. NAACL-HLT (Findings) 2024: 2782-2792 - [i221]Xueyu Hu, Kun Kuang, Jiankai Sun, Hongxia Yang, Fei Wu:
Leveraging Print Debugging to Improve Code Generation in Large Language Models. CoRR abs/2401.05319 (2024) - [i220]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 abs/2401.05507 (2024) - [i219]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 abs/2401.08695 (2024) - [i218]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 abs/2402.09997 (2024) - [i217]Zihao Tang, Zheqi Lv, Shengyu Zhang, Fei Wu, Kun Kuang:
ModelGPT: Unleashing LLM's Capabilities for Tailored Model Generation. CoRR abs/2402.12408 (2024) - [i216]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 abs/2403.02624 (2024) - [i215]Ang Li, Yiquan Wu, Yifei Liu, Fei Wu, Ming Cai, Kun Kuang:
Enhancing Court View Generation with Knowledge Injection and Guidance. CoRR abs/2403.04366 (2024) - [i214]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 abs/2403.04369 (2024) - [i213]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 abs/2403.06414 (2024) - [i212]Changyue Liao, Mo Sun, Zihan Yang, Kaiqi Chen, Binhang Yuan, Fei Wu, Zeke Wang:
Adding NVMe SSDs to Enable and Accelerate 100B Model Fine-tuning on a Single GPU. CoRR abs/2403.06504 (2024) - [i211]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 abs/2403.07030 (2024) - [i210]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 abs/2403.14232 (2024) - [i209]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 abs/2403.16854 (2024) - [i208]Kunxi Li, Tianyu Zhan, Shengyu Zhang, Kun Kuang, Jiwei Li, Zhou Zhao, Fei Wu:
MergeNet: Knowledge Migration across Heterogeneous Models, Tasks, and Modalities. CoRR abs/2404.13322 (2024) - [i207]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 abs/2404.14037 (2024) - [i206]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 abs/2404.14233 (2024) - [i205]Min Zhang, Haoxuan Li, Fei Wu, Kun Kuang:
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation. CoRR abs/2404.19644 (2024) - [i204]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 abs/2405.06914 (2024) - [i203]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 abs/2405.12477 (2024) - [i202]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 abs/2405.12505 (2024) - [i201]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 abs/2405.12724 (2024) - [i200]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 abs/2405.12806 (2024) - [i199]Hongsheng Wang, Yang Wang, Yalan Liu, Fayuan Hu, Shengyu Zhang, Fei Wu, Feng Lin:
NieR: Normal-Based Lighting Scene Rendering. CoRR abs/2405.13097 (2024) - [i198]Yang Zhang, Shixin Yang, Chenjia Bai, Fei Wu, Xiu Li, Zhen Wang, Xuelong Li:
Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration. CoRR abs/2405.14314 (2024) - [i197]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 abs/2405.17830 (2024) - [i196]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 abs/2405.20626 (2024) - [i195]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 abs/2406.11633 (2024) - [i194]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 abs/2406.16989 (2024) - [i193]Yingrong Wang, Haoxuan Li, Minqin Zhu, Anpeng Wu, Ruoxuan Xiong, Fei Wu, Kun Kuang:
Causal Inference with Complex Treatments: A Survey. CoRR abs/2407.14022 (2024) - [i192]Zheqi Lv, Shaoxuan He, Tianyu Zhan, Shengyu Zhang, Wenqiao Zhang, Jingyuan Chen, Zhou Zhao, Fei Wu:
Semantic Codebook Learning for Dynamic Recommendation Models. CoRR abs/2408.00123 (2024) - [i191]Yu Zhao, Lina Gong, Zhiqiu Huang, Yongwei Wang, Mingqiang Wei, Fei Wu:
Coding-PTMs: How to Find Optimal Code Pre-trained Models for Code Embedding in Vulnerability Detection? CoRR abs/2408.04863 (2024) - [i190]Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Xiangwei Chen, Zexu Sun, Fei Wu, Kun Zhang:
Generalized Encouragement-Based Instrumental Variables for Counterfactual Regression. CoRR abs/2408.05428 (2024) - [i189]Kairong Han, Kun Kuang, Ziyu Zhao, Junjian Ye, Fei Wu:
Causal Agent based on Large Language Model. CoRR abs/2408.06849 (2024) - [i188]Tao Wu, Mengze Li, Jingyuan Chen, Wei Ji, Wang Lin, Jinyang Gao, Kun Kuang, Zhou Zhao, Fei Wu:
Semantic Alignment for Multimodal Large Language Models. CoRR abs/2408.12867 (2024) - [i187]Mo Sun, Zihan Yang, Changyue Liao, Yingtao Li, Fei Wu, Zeke Wang:
LuWu: An End-to-End In-Network Out-of-Core Optimizer for 100B-Scale Model-in-Network Data-Parallel Training on Distributed GPUs. CoRR abs/2409.00918 (2024) - [i186]Chengyuan Liu, Shihang Wang, Fubang Zhao, Kun Kuang, Yangyang Kang, Weiming Lu, Changlong Sun, Fei Wu:
RexUniNLU: Recursive Method with Explicit Schema Instructor for Universal NLU. CoRR abs/2409.05275 (2024) - [i185]Zihan Huang, Tao Wu, Wang Lin, Shengyu Zhang, Jingyuan Chen, Fei Wu:
AutoGeo: Automating Geometric Image Dataset Creation for Enhanced Geometry Understanding. CoRR abs/2409.09039 (2024) - [i184]Ziyu Zhao, Tao Shen, Didi Zhu, Zexi Li, Jing Su, Xuwu Wang, Kun Kuang, Fei Wu:
Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering. CoRR abs/2409.16167 (2024) - [i183]Chengyuan Liu, Shihang Wang, Lizhi Qing, Kun Kuang, Yangyang Kang, Changlong Sun, Fei Wu:
Gold Panning in Vocabulary: An Adaptive Method for Vocabulary Expansion of Domain-Specific LLMs. CoRR abs/2410.01188 (2024) - [i182]Huangsen Cao, Yongwei Wang, Yinfeng Liu, Sixian Zheng, Kangtao Lv, Zhimeng Zhang, Bo Zhang, Xin Ding, Fei Wu:
HyperDet: Generalizable Detection of Synthesized Images by Generating and Merging A Mixture of Hyper LoRAs. CoRR abs/2410.06044 (2024) - [i181]Yihuai Xu, Yongwei Wang, Yifei Bi, Huangsen Cao, Zhouhan Lin, Yu Zhao, Fei Wu:
Training-free LLM-generated Text Detection by Mining Token Probability Sequences. CoRR abs/2410.06072 (2024) - [i180]Yiming Zhang, Baoyi He, Shengyu Zhang, Yuhao Fu, Qi Zhou, Zhijie Sang, Zijin Hong, Kejing Yang, Wenjun Wang, Jianbo Yuan, Guanghan Ning, Linyi Li, Chunlin Ji, Fei Wu, Hongxia Yang:
Unconstrained Model Merging for Enhanced LLM Reasoning. CoRR abs/2410.13699 (2024) - [i179]Jinluan Yang, Anke Tang, Didi Zhu, Zhengyu Chen, Li Shen, Fei Wu:
Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace. CoRR abs/2410.13910 (2024) - [i178]Lina Gong, Qi Gao, Peng Li, Mingqiang Wei, Fei Wu:
Efficient Deep Learning Board: Training Feedback Is Not All You Need. CoRR abs/2410.14743 (2024) - [i177]Anpeng Wu, Kun Kuang, Minqin Zhu, Yingrong Wang, Yujia Zheng, Kairong Han, Baohong Li, Guangyi Chen, Fei Wu, Kun Zhang:
Causality for Large Language Models. CoRR abs/2410.15319 (2024) - [i176]Wenyi Xiao, Zechuan Wang, Leilei Gan, Shuai Zhao, Wanggui He, Luu Anh Tuan, Long Chen, Hao Jiang, Zhou Zhao, Fei Wu:
A Comprehensive Survey of Datasets, Theories, Variants, and Applications in Direct Preference Optimization. CoRR abs/2410.15595 (2024) - [i175]Ziwei Huang, Wanggui He, Quanyu Long, Yandi Wang, Haoyuan Li, Zhelun Yu, Fangxun Shu, Long Chan, Hao Jiang, Leilei Gan, Fei Wu:
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts. CoRR abs/2412.04300 (2024) - [i174]Chengyuan Liu, Shihang Wang, Lizhi Qing, Jun Lin, Ji Zhang, Fei Wu, Kun Kuang:
Learning to Solve Domain-Specific Calculation Problems with Knowledge-Intensive Programs Generator. CoRR abs/2412.09280 (2024) - [i173]Shuhe Wang, Shengyu Zhang, Jie Zhang, Runyi Hu, Xiaoya Li, Tianwei Zhang, Jiwei Li, Fei Wu, Guoyin Wang, Eduard H. Hovy:
Reinforcement Learning Enhanced LLMs: A Survey. CoRR abs/2412.10400 (2024) - 2023
- [j131]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) - [j130]Ziyu Zhao, Kun Kuang, Bo Li, Peng Cui, Runze Wu, Jun Xiao, Fei Wu:
Differentiated matching for individual and average treatment effect estimation. Data Min. Knowl. Discov. 37(1): 205-227 (2023) - [j129]Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin:
Domain-Specific Bias Filtering for Single Labeled Domain Generalization. Int. J. Comput. Vis. 131(2): 552-571 (2023) - [j128]Zhedong Zheng, Liang Zheng, Yi Yang, Fei Wu:
U-Turn: Crafting Adversarial Queries with Opposite-Direction Features. Int. J. Comput. Vis. 131(4): 835-854 (2023) - [j127]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): 1181-1193 (2023) - [j126]Tao Shen, Jie Zhang, Xinkang Jia, Fengda Zhang, Zheqi Lv, Kun Kuang, Chao Wu, Fei Wu:
Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives. Frontiers Inf. Technol. Electron. Eng. 24(10): 1390-1402 (2023) - [j125]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): 10285-10299 (2023) - [j124]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): 12601-12617 (2023) - [j123]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: 109750 (2023) - [j122]Gang Huang, Zhou Zhou, Fei Wu, Wei Hua:
Physics-Informed Time-Aware Neural Networks for Industrial Nonintrusive Load Monitoring. IEEE Trans. Ind. Informatics 19(6): 7312-7322 (2023) - [j121]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): 118:1-118:21 (2023) - [j120]Anpeng Wu, Junkun Yuan, Kun Kuang, Bo Li, Runze Wu, Qiang Zhu, Yueting Zhuang, Fei Wu:
Learning Decomposed Representations for Treatment Effect Estimation. IEEE Trans. Knowl. Data Eng. 35(5): 4989-5001 (2023) - [j119]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): 6392-6404 (2023) - [j118]