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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.uni-trier.de/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
- Fei Wu 0027 — University of Minnesota, Minneapolis, MN, USA
- Fei Wu 0028 — Stony Brook University, Department of Electrical and Computer Engineering, NY, USA
- Fei Wu 0029 — Adobe Inc., Seattle, WA, USA (and 1 more)
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2020 – today
- 2026
[j171]Xin Li, Ying Ling, Shaofeng Ming, Jilong Cao, Chao Ma, Fei Wu:
An Attack Traceability Method for Power IoT Terminals Based on Dynamic Causal Graph. Internet Technol. Lett. 9(1) (2026)- [j170]Zhengyao Ding, Yujian Hu, Ziyu Li, Yiheng Mao, Haitao Li, Dongchen Zhou, Xuesen Chu, Long Yu, Ziyi Liu, Fei Wu, Hongkun Zhang, Qingbo Xu, Ting Chen, Zhengxing Huang:
AI modeling photoplethysmography to electrocardiography useful for predicting cardiovascular disease. npj Digit. Medicine 9(1) (2026) - [j169]Juncheng Li, Minghe Gao, Siliang Tang, Longhui Wei, Jun Xiao, Fei Wu, Richang Hong, Meng Wang, Qi Tian:
Structure-Induced Gradient Regulation for Generalizable Vision-Language Models. IEEE Trans. Pattern Anal. Mach. Intell. 48(1): 219-235 (2026) - [j168]Sihang Cai, Xuan Lin, Wenqiang Xu, Jingtong Wu, Tao Jin, Zhou Zhao, Fei Wu, Jun Yu:
TAG: Triple Alignment With Rationale Generation for Knowledge-Based Visual Question Answering. IEEE Trans. Big Data 12(1): 47-61 (2026) - [c329]Yuhao Zhan, Yuqing Zhang, Jing Yuan, Qixiang Ma, Zhiqi Yang, Yu Gu, Zemin Liu, Fei Wu:
JELV: A Judge of Edit-Level Validity for Evaluation and Automated Reference Expansion in Grammatical Error Correction. AAAI 2026: 34611-34619 - [c328]Jie Sun, Shaohang Wang, Zimo Zhang, Zhengyu Liu, Yunlong Xu, Peng Sun, Bo Zhao, Bingsheng He, Fei Wu, Zeke Wang:
Bat: Efficient Generative Recommender Serving with Bipartite Attention. ASPLOS (2) 2026: 223-238 - [i285]Qihang Yu, Kairui Fu, Zhaocheng Du, Yuxuan Si, Kaiyuan Li, Weihao Zhao, Zhicheng Zhang, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Shengyu Zhang, Kun Kuang, Fei Wu:
MALLOC: Benchmarking the Memory-aware Long Sequence Compression for Large Sequential Recommendation. CoRR abs/2601.20234 (2026) - [i284]Xin Ding, Yun Chen, Sen Zhang, Kao Zhang, Nenglun Chen, Peibei Cao, Yongwei Wang, Fei Wu:
Enhancing Diffusion-Based Quantitatively Controllable Image Generation via Matrix-Form EDM and Adaptive Vicinal Training. CoRR abs/2602.02114 (2026) - [i283]Rui Jia, Ruiyi Lan, Fengrui Liu, Zhongxiang Dai, Bo Jiang, Jing Shao, Jingyuan Chen, Guandong Xu, Fei Wu, Min Zhang:
CASTLE: A Comprehensive Benchmark for Evaluating Student-Tailored Personalized Safety in Large Language Models. CoRR abs/2602.05633 (2026) - 2025
- [j167]Jianfeng Xu, Congcong Liu, Xiaoying Tan, Xiaojie Zhu, Anpeng Wu, Huan Wan, Weijun Kong, Chun Li, Hu Xu, Kun Kuang, Fei Wu:
General information metrics for improving AI model training efficiency. Artif. Intell. Rev. 58(9): 289 (2025) - [j166]Shaolong Zhu, Tianle Yang, Dongwei Han, Weijun Zhang, Muhammad Zain, Qiaoqiao Yu, Yuanyuan Zhao, Fei Wu, Zhaosheng Yao, Tao Liu, Chengming Sun:
ODP: A novel indicator for estimating photosynthetic capacity and yield of maize through UAV hyperspectral images. Comput. Electron. Agric. 235: 110350 (2025) - [j165]Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Fei Wu:
Instrumental Variables in Causal Inference and Machine Learning: A Survey. ACM Comput. Surv. 57(11): 292:1-292:36 (2025) - [j164]Yumeng Zhu, Caifeng Zhu, Tao Wu, Shulei Wang, Yiyun Zhou, Jingyuan Chen, Fei Wu, Yan Li:
Impact of assignment completion assisted by Large Language Model-based chatbot on middle school students' learning. Educ. Inf. Technol. 30(2): 2429-2461 (2025) - [j163]Chengzhuan Yang, Qian Yu, Hui Wei, Fei Wu, Yunliang Jiang, Zhonglong Zheng, Ming-Hsuan Yang:
A Fast and Lightweight 3D Keypoint Detector. Int. J. Comput. Vis. 133(8): 5216-5237 (2025) - [j162]Baoqi Pei, Yifei Huang, Guo Chen, Jilan Xu, Yali Wang, Limin Wang, Tong Lu, Yu Qiao, Fei Wu:
Guiding Audio-Visual Question Answering with Collective Question Reasoning. Int. J. Comput. Vis. 133(10): 6912-6929 (2025) - [j161]Tao Shen, Zexi Li, Ziyu Zhao, Didi Zhu, Zheqi Lv, Kun Kuang, Shengyu Zhang, Chao Wu, Fei Wu:
FedMcon: an adaptive aggregation method for federated learning via meta controller. Frontiers Inf. Technol. Electron. Eng. 26(8): 1378-1393 (2025) - [j160]Yuxiao Lin, Tao Jin, Xize Cheng, Zhou Zhao, Fei Wu:
Multi-talker audio-visual speech recognition towards diverse scenarios. Frontiers Inf. Technol. Electron. Eng. 26(11): 2310-2323 (2025) - [j159]Minqin Zhu, Anpeng Wu, Haoxuan Li, Ruoxuan Xiong, Bo Li, Fei Wu, Kun Kuang:
Learning double balancing representation for heterogeneous dose-response curve estimation. Neural Networks 189: 107600 (2025) - [j158]Menglin Lu, Yiheng Mao, Hui Zhu, Yesheng Xu, Yu-Feng Yao, Fei Wu, Zhengxing Huang:
Phenotypic screening and genetic insights for predicting major vascular-related diseases using retinal imaging. npj Digit. Medicine 8(1) (2025) - [j157]Wenguan Wang, Yi Yang, Fei Wu:
Towards Data-And Knowledge-Driven AI: A Survey on Neuro-Symbolic Computing. IEEE Trans. Pattern Anal. Mach. Intell. 47(2): 878-899 (2025) - [j156]Fei Wu, Jun Yin, Xiaochuan Li, Jianfeng Wu, Da Jin, Jiamin Yang:
CoNet: A Consistency-Oriented Network for Camouflaged Object Segmentation. IEEE Trans. Circuits Syst. Video Technol. 35(1): 287-299 (2025) - [j155]Zhengqing Fang, Zhouhang Yuan, Ziyu Li, Jingyuan Chen, Kun Kuang, Yu-Feng Yao, Fei Wu:
Cross-Modality Image Interpretation via Concept Decomposition Vector of Visual-Language Models. IEEE Trans. Circuits Syst. Video Technol. 35(4): 3024-3038 (2025) - [j154]Ziyu Zhao, Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Bo Li, Zhihua Wang, Fei Wu:
Networked Instrumental Variable for Treatment Effect Estimation With Unobserved Confounders. IEEE Trans. Knowl. Data Eng. 37(2): 823-836 (2025) - [j153]Mengying Zhu, Mengyuan Yang, Yan Wang, Fei Wu, Qianqiao Liang, Chaochao Chen, Hua Wei, Xiaolin Zheng:
SPIN: Sparse Portfolio Strategy With Irregular News in Fluctuating Markets. IEEE Trans. Knowl. Data Eng. 37(6): 3714-3727 (2025) - [j152]Chengyuan Liu, Shihang Wang, Yangyang Kang, Fubang Zhao, Kun Kuang, Weiming Lu, Changlong Sun, Fei Wu:
RexUniNLU: Recursive Method With Explicit Schema Instructor for Universal Natural Language Understanding. IEEE Trans. Knowl. Data Eng. 37(11): 6624-6635 (2025) - [j151]Liuying Gong, Jingyuan Chen, Fei Wu:
Is ChatGPT a Competent Teacher? Systematic Evaluation of Large Language Models on the Competency Model. IEEE Trans. Learn. Technol. 18: 530-541 (2025) - [j150]Jia Yu, Yan Zhu, Peiyao Fu, Tianyi Chen, Junbo Huang, Quanlin Li, Pinghong Zhou, Zhihua Wang, Fei Wu, Shuo Wang, Xian Yang:
Robust Polyp Detection and Diagnosis Through Compositional Prompt-Guided Diffusion Models. IEEE Trans. Medical Imaging 44(12): 5245-5257 (2025) - [j149]Zihan Huang, Tao Wu, Wang Lin, Shengyu Zhang, Jingyuan Chen, Fei Wu:
AutoGeo: Automating Geometric Image Dataset Creation for Enhanced Geometry Understanding. IEEE Trans. Multim. 27: 3105-3116 (2025) - [j148]Zhiang Dong, Liya Hu, Jingyuan Chen, Zhihua Wang, Fei Wu:
Comprehend Then Predict: Prompting Large Language Models for Recommendation with Semantic and Collaborative Data. ACM Trans. Inf. Syst. 43(5): 115:1-115:26 (2025) - [j147]Xiangwei Lv, Guifeng Wang, Jingyuan Chen, Hejian Su, Zhiang Dong, Yumeng Zhu, Beishui Liao, Fei Wu:
Debiased Cognition Representation Learning for Knowledge Tracing. ACM Trans. Inf. Syst. 43(5): 127:1-127:30 (2025) - [j146]Chengzhuan Yang, Yinhuang Chen, Qian Yu, Hui Wei, Fei Wu, Zhonglong Zheng:
Hierarchical Point Saliency for 3D Keypoint Detection. IEEE Trans. Vis. Comput. Graph. 31(10): 7211-7228 (2025) - [c327]Zhiang Dong, Jingyuan Chen, Fei Wu:
Knowledge Is Power: Harnessing Large Language Models for Enhanced Cognitive Diagnosis. AAAI 2025: 164-172 - [c326]Kunxi Li, Tianyu Zhan, Kairui Fu, Shengyu Zhang, Kun Kuang, Jiwei Li, Zhou Zhao, Fan Wu, Fei Wu:
MergeNet: Knowledge Migration Across Heterogeneous Models, Tasks, and Modalities. AAAI 2025: 4824-4832 - [c325]Zhonghua Jiang, Jimin Xu, Shengyu Zhang, Tao Shen, Jiwei Li, Kun Kuang, Haibin Cai, Fei Wu:
FedCFA: Alleviating Simpson's Paradox in Model Aggregation with Counterfactual Federated Learning. AAAI 2025: 17662-17670 - [c324]Zheqi Lv, Keming Ye, Zishu Wei, Qi Tian, Shengyu Zhang, Wenqiao Zhang, Wenjie Wang, Kun Kuang, Tat-Seng Chua, Fei Wu:
Optimize Incompatible Parameters Through Compatibility-aware Knowledge Integration. AAAI 2025: 19233-19241 - [c323]Yang Zhang, Shixin Yang, Chenjia Bai, Fei Wu, Xiu Li, Zhen Wang, Xuelong Li:
Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration. ACL (Findings) 2025: 1663-1699 - [c322]Yuting Huang, Chengyuan Liu, Yifeng Feng, Yiquan Wu, Chao Wu, Fei Wu, Kun Kuang:
Rewrite to Jailbreak: Discover Learnable and Transferable Implicit Harmfulness Instruction. ACL (Findings) 2025: 3669-3690 - [c321]Xueyu Hu, Tao Xiong, Biao Yi, Zishu Wei, Ruixuan Xiao, Yurun Chen, Jiasheng Ye, Meiling Tao, Xiangxin Zhou, Ziyu Zhao, Yuhuai Li, Shengze Xu, Shenzhi Wang, Xinchen Xu, Shuofei Qiao, Zhaokai Wang, Kun Kuang, Tieyong Zeng, Liang Wang, Jiwei Li, Yuchen Eleanor Jiang, Wangchunshu Zhou, Guoyin Wang, Keting Yin, Zhou Zhao, Hongxia Yang, Fan Wu, Shengyu Zhang, Fei Wu:
OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use. ACL (1) 2025: 7436-7465 - [c320]Tao Wu, Jingyuan Chen, Wang Lin, Mengze Li, Yumeng Zhu, Ang Li, Kun Kuang, Fei Wu:
Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents. ACL (1) 2025: 9887-9908 - [c319]Ang Li, Yiquan Wu, Yifei Liu, Ming Cai, Lizhi Qing, Shihang Wang, Yangyang Kang, Chengyuan Liu, Fei Wu, Kun Kuang:
UniLR: Unleashing the Power of LLMs on Multiple Legal Tasks with a Unified Legal Retriever. ACL (1) 2025: 11953-11967 - [c318]Kunxi Li, Zhonghua Jiang, Zhouzhou Shen, Zhaode Wang, Chengfei Lv, Shengyu Zhang, Fan Wu, Fei Wu:
MadaKV: Adaptive Modality-Perception KV Cache Eviction for Efficient Multimodal Long-Context Inference. ACL (1) 2025: 13306-13318 - [c317]Wenxiang Guo, Yu Zhang, Changhao Pan, Zhiyuan Zhu, Ruiqi Li, ZheTao Chen, Wenhao Xu, Fei Wu, Zhou Zhao:
STARS: A Unified Framework for Singing Transcription, Alignment, and Refined Style Annotation. ACL (Findings) 2025: 15081-15093 - [c316]Ziwei Huang, Wanggui He, Quanyu Long, Yandi Wang, Haoyuan Li, Zhelun Yu, Fangxun Shu, Weilong Dai, Hao Jiang, Fei Wu, Leilei Gan:
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts. ACL (1) 2025: 27501-27524 - [c315]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 - [c314]Wang Lin, Qingsong Wang, Yueying Feng, Shulei Wang, Tao Jin, Zhou Zhao, Fei Wu, Chang Yao, Jingyuan Chen:
Non-Natural Image Understanding with Advancing Frequency-based Vision Encoders. CVPR 2025: 29756-29766 - [c313]Siying Zhou, Yiquan Wu, Hui Chen, Xueyu Hu, Kun Kuang, Adam Jatowt, Chunyan Zheng, Fei Wu:
ClaimGen-CN: A Large-scale Chinese Dataset for Legal Claim Generation. EMNLP (Findings) 2025: 12296-12323 - [c312]Yinghao Hu, Yaoyao Yu, Leilei Gan, Bin Wei, Kun Kuang, Fei Wu:
Evaluating Test-Time Scaling LLMs for Legal Reasoning: OpenAI o1, DeepSeek-R1, and Beyond. EMNLP (Findings) 2025: 13759-13781 - [c311]Ang Li, Yiquan Wu, Yinghao Hu, Lizhi Qing, Shihang Wang, Chengyuan Liu, Tao Wu, Adam Jatowt, Ming Cai, Fei Wu, Kun Kuang:
CoEvo: Coevolution of LLM and Retrieval Model for Domain-Specific Information Retrieval. EMNLP 2025: 14980-14999 - [c310]Yixiao Zhou, Ziyu Zhao, Dongzhou Cheng, Zhiliang Wu, Jie Gui, Yi Yang, Fei Wu, Yu Cheng, Hehe Fan:
Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs. EMNLP (Findings) 2025: 15169-15186 - [c309]Xiao Chi, Wenlin Zhong, Yiquan Wu, Wei Wang, Kun Kuang, Fei Wu, Minghui Xiong:
Universal Legal Article Prediction via Tight Collaboration between Supervised Classification Model and LLM. ICAIL 2025: 21-30 - [c308]Yuxiao Lin, Tao Jin, Xize Cheng, Zhou Zhao, Fei Wu:
Curriculum Learning aided Audio-Visual Speech Recognition with Arbitrary Speaker Number. ICASSP 2025: 1-5 - [c307]Changyue Liao, Mo Sun, Zihan Yang, Jun Xie, Kaiqi Chen, Binhang Yuan, Fei Wu, Zeke Wang:
Ratel: Optimizing Holistic Data Movement to Fine-tune 100B Model on a Consumer GPU. ICDE 2025: 292-306 - [c306]Jie Sun, Mo Sun, Zheng Zhang, Zuocheng Shi, Jun Xie, Zihan Yang, Jie Zhang, Zeke Wang, Fei Wu:
Hyperion: Co-Optimizing SSD Access and GPU Computation for Cost-Efficient GNN Training. ICDE 2025: 321-335 - [c305]Ziyu Song, Jie Zhang, Jie Sun, Mo Sun, Zihan Yang, Zheng Zhang, Xuzheng Chen, Fei Wu, Huajin Tang, Zeke Wang:
CAM: Asynchronous GPU-Initiated, CPU-Managed SSD Management for Batching Storage Access. ICDE 2025: 2309-2322 - [c304]Ziyu Zhao, Tao Shen, Didi Zhu, Zexi Li, Jing Su, Xuwu Wang, Fei Wu:
Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering. ICLR 2025 - [c303]Baoqi Pei, Yifei Huang, Jilan Xu, Guo Chen, Yuping He, Lijin Yang, Yali Wang, Weidi Xie, Yu Qiao, Fei Wu, Limin Wang:
Modeling Fine-Grained Hand-Object Dynamics for Egocentric Video Representation Learning. ICLR 2025 - [c302]Haofu Qian, Chenjia Bai, Jiatao Zhang, Fei Wu, Wei Song, Xuelong Li:
Discriminator-Guided Embodied Planning for LLM Agent. ICLR 2025 - [c301]Anpeng Wu, Haiyi Qiu, Zhengming Chen, Zijian Li, Ruoxuan Xiong, Fei Wu, Kun Zhang:
Causal Graph Transformer for Treatment Effect Estimation Under Unknown Interference. ICLR 2025 - [c300]Jiajian Xie, Shengyu Zhang, Mengze Li, Chengfei Lv, Zhou Zhao, Fei Wu:
EcoFace: Audio-Visual Emotional Co-Disentanglement Speech-Driven 3D Talking Face Generation. ICLR 2025 - [c299]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. ICLR 2025 - [c298]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. ICLR 2025 - [c297]Xinpeng Dong, Min Zhang, Didi Zhu, Ye Jun Jian, Keli Zhang, Aimin Zhou, Fei Wu, Kun Kuang:
ERICT: Enhancing Robustness by Identifying Concept Tokens in Zero-Shot Vision Language Models. ICML 2025 - [c296]Hanglei Hu, Yingying Guo, Zhikang Chen, Sen Cui, Fei Wu, Kun Kuang, Min Zhang, Bo Jiang:
Advancing Personalized Learning with Neural Collapse for Long-Tail Challenge. ICML 2025 - [c295]Minqin Zhu, Zexu Sun, Ruoxuan Xiong, Anpeng Wu, Baohong Li, Caizhi Tang, Jun Zhou, Fei Wu, Kun Kuang:
Rethinking Causal Ranking: A Balanced Perspective on Uplift Model Evaluation. ICML 2025 - [c294]Zhan Qu, Shengyu Zhang, Mengze Li, Zhuo Chen, Chengfei Lv, Zhou Zhao, Fei Wu:
ExpTalk: Diverse Emotional Expression via Adaptive Disentanglement and Refined Alignment for Speech-Driven 3D Facial Animation. IJCAI 2025: 1811-1819 - [c293]Tianyu Zhan, Shengyu Zhang, Zheqi Lv, Jieming Zhu, Jiwei Li, Fan Wu, Fei Wu:
Device-Cloud Collaborative Correction for On-Device Recommendation. IJCAI 2025: 3615-3623 - [c292]Zheqi Lv, Tianyu Zhan, Wenjie Wang, Xinyu Lin, Shengyu Zhang, Wenqiao Zhang, Jiwei Li, Kun Kuang, Fei Wu:
Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation. KDD (1) 2025: 962-973 - [c291]Shengyu Zhang, Fan Yao, Yujie Lu, Chaoyue Niu, Hongxia Yang, Fan Wu, Fei Wu:
CEFSW'25: The 2nd Collaboration and Evolution of Foundation and Specialized Models Workshop. ICMR 2025: 2151-2153 - [c290]Tianqi Liu, Kairui Fu, Shengyu Zhang, Wenyan Fan, Zhaocheng Du, Jieming Zhu, Fan Wu, Fei Wu:
CHORD: Customizing Hybrid-precision On-device Model for Sequential Recommendation with Device-cloud Collaboration. ACM Multimedia 2025: 6252-6261 - [c289]Zheqi Lv, Wenqiao Zhang, Kairui Fu, Qi Tian, Shengyu Zhang, Jiajie Su, Jingyuan Chen, Kun Kuang, Fei Wu:
Tackling Device Data Distribution Real-time Shift via Prototype-based Parameter Editing. ACM Multimedia 2025: 11785-11794 - [c288]Shuhe Wang, Xiaofei Sun, Xiaoya Li, Rongbin Ouyang, Fei Wu, Tianwei Zhang, Jiwei Li, Guoyin Wang, Chen Guo:
GPT-NER: Named Entity Recognition via Large Language Models. NAACL (Findings) 2025: 4257-4275 - [c287]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. NAACL (Long Papers) 2025: 4776-4791 - [c286]Ang Li, Yiquan Wu, Ming Cai, Adam Jatowt, Xiang Zhou, Weiming Lu, Changlong Sun, Fei Wu, Kun Kuang:
Legal Judgment Prediction based on Knowledge-enhanced Multi-Task and Multi-Label Text Classification. NAACL (Long Papers) 2025: 6957-6970 - [c285]Jie Sun, Zuocheng Shi, Li Su, Wenting Shen, Zeke Wang, Yong Li, Wenyuan Yu, Wei Lin, Fei Wu, Bingsheng He, Jingren Zhou:
Helios: Efficient Distributed Dynamic Graph Sampling for Online GNN Inference. PPoPP 2025: 2-15 - [c284]Zuocheng Shi, Jie Sun, Ziyu Song, Mo Sun, Yang Xiao, Fei Wu, Zeke Wang:
Moment: Co-optimizing Physical Communication Topology and Data Placement for Multi-GPU Out-of-core GNN Training. SC 2025: 250-264 - [i282]Jianfeng Xu, Congcong Liu, Xiaoying Tan, Xiaojie Zhu, Anpeng Wu, Huan Wan, Weijun Kong, Chun Li, Hu Xu, Kun Kuang, Fei Wu:
General Information Metrics for Improving AI Model Training Efficiency. CoRR abs/2501.02004 (2025) - [i281]Zhaoyi Yan, Zhijie Sang, Yiming Zhang, Yuhao Fu, Baoyi He, Qi Zhou, Yining Di, Chunlin Ji, Shengyu Zhang, Fei Wu, Hongxia Yang:
InfiFusion: A Unified Framework for Enhanced Cross-Model Reasoning via LLM Fusion. CoRR abs/2501.02795 (2025) - [i280]Yuhang Liu, Pengxiang Li, Zishu Wei, Congkai Xie, Xueyu Hu, Xinchen Xu, Shengyu Zhang, Xiaotian Han, Hongxia Yang, Fei Wu:
InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection. CoRR abs/2501.04575 (2025) - [i279]Zheqi Lv, Tianyu Zhan, Wenjie Wang, Xinyu Lin, Shengyu Zhang, Wenqiao Zhang, Jiwei Li, Kun Kuang, Fei Wu:
Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation. CoRR abs/2501.05647 (2025) - [i278]Zheqi Lv, Wenkai Wang, Jiawei Wang, Shengyu Zhang, Fei Wu:
Cascaded Self-Evaluation Augmented Training for Efficient Multimodal Large Language Models. CoRR abs/2501.05662 (2025) - [i277]Yinghao Hu, Leilei Gan, Wenyi Xiao, Kun Kuang, Fei Wu:
Fine-tuning Large Language Models for Improving Factuality in Legal Question Answering. CoRR abs/2501.06521 (2025) - [i276]Zheqi Lv, Keming Ye, Zishu Wei, Qi Tian, Shengyu Zhang, Wenqiao Zhang, Wenjie Wang, Kun Kuang, Tat-Seng Chua, Fei Wu:
Optimize Incompatible Parameters through Compatibility-aware Knowledge Integration. CoRR abs/2501.07596 (2025) - [i275]Jingyuan Chen, Tao Wu, Wei Ji, Fei Wu:
WisdomBot: Tuning Large Language Models with Artificial Intelligence Knowledge. CoRR abs/2501.12877 (2025) - [i274]Ziyu Zhao, Yixiao Zhou, Didi Zhu, Tao Shen, Xuwu Wang, Jing Su, Kun Kuang, Zhongyu Wei, Fei Wu, Yu Cheng:
Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-Task Learning. CoRR abs/2501.15103 (2025) - [i273]Zhiang Dong, Jingyuan Chen, Fei Wu:
Knowledge is Power: Harnessing Large Language Models for Enhanced Cognitive Diagnosis. CoRR abs/2502.05556 (2025) - [i272]Jinluan Yang, Dingnan Jin, Anke Tang, Li Shen, Didi Zhu, Zhengyu Chen, Daixin Wang, Qing Cui, Zhiqiang Zhang, Jun Zhou, Fei Wu, Kun Kuang:
Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging. CoRR abs/2502.06876 (2025) - [i271]Yuting Huang, Chengyuan Liu, Yifeng Feng, Chao Wu, Fei Wu, Kun Kuang:
Rewrite to Jailbreak: Discover Learnable and Transferable Implicit Harmfulness Instruction. CoRR abs/2502.11084 (2025) - [i270]Congkai Xie, Shuo Cai, Wenjun Wang, Pengxiang Li, Zhijie Sang, Kejing Yang, Yiming Zhang, Zhen Li, Guanghao Zhu, Zeyu Liu, Yang Yu, Yuhang Liu, Su Lu, Baoyi He, Qi Zhou, Xiaotian Han, Jianbo Yuan, Shengyu Zhang, Fei Wu, Hongxia Yang:
InfiR : Crafting Effective Small Language Models and Multimodal Small Language Models in Reasoning. CoRR abs/2502.11573 (2025) - [i269]Jia Yu, Yan Zhu, Peiyao Fu, Tianyi Chen, Junbo Huang, Quanlin Li, Pinghong Zhou, Zhihua Wang, Fei Wu, Shuo Wang, Xian Yang:
Robust Polyp Detection and Diagnosis through Compositional Prompt-Guided Diffusion Models. CoRR abs/2502.17951 (2025) - [i268]Baoqi Pei, Yifei Huang, Jilan Xu, Guo Chen, Yuping He, Lijin Yang, Yali Wang, Weidi Xie, Yu Qiao, Fei Wu, Limin Wang:
Modeling Fine-Grained Hand-Object Dynamics for Egocentric Video Representation Learning. CoRR abs/2503.00986 (2025) - [i267]Tao Shen, Didi Zhu, Ziyu Zhao, Chao Wu, Fei Wu:
Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices. CoRR abs/2503.08223 (2025) - [i266]Zeke Wang, Jie Zhang, Hongjing Huang, Yingtao Li, Xueying Zhu, Mo Sun, Zihan Yang, De Ma, Huajin Tang, Gang Pan, Fei Wu, Bingsheng He, Gustavo Alonso:
FpgaHub: Fpga-centric Hyper-heterogeneous Computing Platform for Big Data Analytics. CoRR abs/2503.09318 (2025) - [i265]Yaoyao Yu, Leilei Gan, Yinghao Hu, Bin Wei, Kun Kuang, Fei Wu:
Evaluating Test-Time Scaling LLMs for Legal Reasoning: OpenAI o1, DeepSeek-R1, and Beyond. CoRR abs/2503.16040 (2025) - [i264]Minghe Gao, Xuqi Liu, Zhongqi Yue, Yang Wu, Shuang Chen, Juncheng Li, Siliang Tang, Fei Wu, Tat-Seng Chua, Yueting Zhuang:
Benchmarking Multimodal CoT Reward Model Stepwise by Visual Program. CoRR abs/2504.06606 (2025) - [i263]Chengyuan Liu, Shihang Wang, Lizhi Qing, Kaisong Song, Junjie Cao, Jun Lin, Ji Zhang, Ang Li, Kun Kuang, Fei Wu:
Towards Stepwise Domain Knowledge-Driven Reasoning Optimization and Reflection Improvement. CoRR abs/2504.09058 (2025) - [i262]Yuhang Liu, Pengxiang Li, Congkai Xie, Xavier Hu, Xiaotian Han, Shengyu Zhang, Hongxia Yang, Fei Wu:
InfiGUI-R1: Advancing Multimodal GUI Agents from Reactive Actors to Deliberative Reasoners. CoRR abs/2504.14239 (2025) - [i261]Wang Lin, Liyu Jia, Wentao Hu, Kaihang Pan, Zhongqi Yue, Wei Zhao, Jingyuan Chen, Fei Wu, Hanwang Zhang:
Reasoning Physical Video Generation with Diffusion Timestep Tokens via Reinforcement Learning. CoRR abs/2504.15932 (2025) - [i260]Wenyi Xiao, Leilei Gan, Weilong Dai, Wanggui He, Ziwei Huang, Haoyuan Li, Fangxun Shu, Zhelun Yu, Peng Zhang, Hao Jiang, Fei Wu:
Fast-Slow Thinking for Large Vision-Language Model Reasoning. CoRR abs/2504.18458 (2025) - [i259]Biao Yi, Xavier Hu, Yurun Chen, Shengyu Zhang, Hongxia Yang, Fan Wu, Fei Wu:
EcoAgent: An Efficient Edge-Cloud Collaborative Multi-Agent Framework for Mobile Automation. CoRR abs/2505.05440 (2025) - [i258]Yanggan Gu, Zhaoyi Yan, Yuanyi Wang, Yiming Zhang, Qi Zhou, Fei Wu, Hongxia Yang:
InfiFPO: Implicit Model Fusion via Preference Optimization in Large Language Models. CoRR abs/2505.13878 (2025) - [i257]Yuanyi Wang, Zhaoyi Yan, Yiming Zhang, Qi Zhou, Yanggan Gu, Fei Wu, Hongxia Yang:
InfiGFusion: Graph-on-Logits Distillation via Efficient Gromov-Wasserstein for Model Fusion. CoRR abs/2505.13893 (2025) - [i256]Qihang Yu, Kairui Fu, Shengyu Zhang, Zheqi Lv, Fan Wu, Fei Wu:
ThinkRec: Thinking-based recommendation via LLM. CoRR abs/2505.15091 (2025) - [i255]Yuting Huang, Meitong Guo, Yiquan Wu, Ang Li, Xiaozhong Liu, Keting Yin, Changlong Sun, Fei Wu, Kun Kuang:
AppealCase: A Dataset and Benchmark for Civil Case Appeal Scenarios. CoRR abs/2505.16514 (2025) - [i254]Tao Wu, Jingyuan Chen, Wang Lin, Mengze Li, Yumeng Zhu, Ang Li, Kun Kuang, Fei Wu:
Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents. CoRR abs/2505.19997 (2025) - [i253]Zheqi Lv, Junhao Chen, Qi Tian, Keting Yin, Shengyu Zhang, Fei Wu:
Multimodal LLM-Guided Semantic Correction in Text-to-Image Diffusion. CoRR abs/2505.20053 (2025) - [i252]Zeyu Liu, Yuhang Liu, Guanghao Zhu, Congkai Xie, Zhen Li, Jianbo Yuan, Xinyao Wang, Qing Li, Shing-Chi Cheung, Shengyu Zhang, Fei Wu, Hongxia Yang:
Infi-MMR: Curriculum-based Unlocking Multimodal Reasoning via Phased Reinforcement Learning in Multimodal Small Language Models. CoRR abs/2505.23091 (2025) - [i251]Kaihang Pan, Yang Wu, Wendong Bu, Kai Shen, Juncheng Li, Yingting Wang, Yunfei Li, Siliang Tang, Jun Xiao, Fei Wu, Hang Zhao, Yueting Zhuang:
Unlocking Aha Moments via Reinforcement Learning: Advancing Collaborative Visual Comprehension and Generation. CoRR abs/2506.01480 (2025) - [i250]Tianyu Zhan, Shengyu Zhang, Zheqi Lv, Jieming Zhu, Jiwei Li, Fan Wu, Fei Wu:
Device-Cloud Collaborative Correction for On-Device Recommendation. CoRR abs/2506.12687 (2025) - [i249]Kunxi Li, Zhonghua Jiang, Zhouzhou Shen, Zhaode Wang, Chengfei Lv, Shengyu Zhang, Fan Wu, Fei Wu:
MadaKV: Adaptive Modality-Perception KV Cache Eviction for Efficient Multimodal Long-Context Inference. CoRR abs/2506.15724 (2025) - [i248]Wenxiang Guo, Yu Zhang, Changhao Pan, Zhiyuan Zhu, Ruiqi Li, Zhetao Chen, Wenhao Xu, Fei Wu, Zhou Zhao:
STARS: A Unified Framework for Singing Transcription, Alignment, and Refined Style Annotation. CoRR abs/2507.06670 (2025) - [i247]Jiajian Xie, Shengyu Zhang, Zhou Zhao, Fan Wu, Fei Wu:
EC-Diff: Fast and High-Quality Edge-Cloud Collaborative Inference for Diffusion Models. CoRR abs/2507.11980 (2025) - [i246]Xueyu Hu, Tao Xiong, Biao Yi, Zishu Wei, Ruixuan Xiao, Yurun Chen, Jiasheng Ye, Meiling Tao, Xiangxin Zhou, Ziyu Zhao, Yuhuai Li, Shengze Xu, Shenzhi Wang, Xinchen Xu, Shuofei Qiao, Zhaokai Wang, Kun Kuang, Tieyong Zeng, Liang Wang, Jiwei Li, Yuchen Eleanor Jiang, Wangchunshu Zhou, Guoyin Wang, Keting Yin, Zhou Zhao, Hongxia Yang, Fan Wu, Shengyu Zhang, Fei Wu:
OS Agents: A Survey on MLLM-based Agents for General Computing Devices Use. CoRR abs/2508.04482 (2025) - [i245]Yuhang Liu, Zeyu Liu, Shuanghe Zhu, Pengxiang Li, Congkai Xie, Jiasheng Wang, Xueyu Hu, Xiaotian Han, Jianbo Yuan, Xinyao Wang, Shengyu Zhang, Hongxia Yang, Fei Wu:
InfiGUI-G1: Advancing GUI Grounding with Adaptive Exploration Policy Optimization. CoRR abs/2508.05731 (2025) - [i244]Tao Wu, Jingyuan Chen, Wang Lin, Jian Zhan, Mengze Li, Kun Kuang, Fei Wu:
Personalized Distractor Generation via MCTS-Guided Reasoning Reconstruction. CoRR abs/2508.11184 (2025) - [i243]Tao Shen, Zexi Li, Didi Zhu, Ziyu Zhao, Chao Wu, Fei Wu:
FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning. CoRR abs/2508.14539 (2025) - [i242]Siying Zhou, Yiquan Wu, Hui Chen, Xavier Hu, Kun Kuang, Adam Jatowt, Ming Hu, Chunyan Zheng, Fei Wu:
ClaimGen-CN: A Large-scale Chinese Dataset for Legal Claim Generation. CoRR abs/2508.17234 (2025) - [i241]Jinluan Yang, Ruihao Zhang, Zhengyu Chen, Fei Wu, Kun Kuang:
Unifying Adversarial Perturbation for Graph Neural Networks. CoRR abs/2509.00387 (2025) - [i240]Jimin Xu, Bosheng Qin, Tao Jin, Zhou Zhao, Zhenhui Ye, Jun Yu, Fei Wu:
SSGaussian: Semantic-Aware and Structure-Preserving 3D Style Transfer. CoRR abs/2509.04379 (2025) - [i239]Zhaoyu Fan, Kaihang Pan, Mingze Zhou, Bosheng Qin, Juncheng Li, Shengyu Zhang, Wenqiao Zhang, Siliang Tang, Fei Wu, Yueting Zhuang:
Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs. CoRR abs/2509.05714 (2025) - [i238]Zheqi Lv, Wenqiao Zhang, Kairui Fu, Qi Tian, Shengyu Zhang, Jiajie Su, Jingyuan Chen, Kun Kuang, Fei Wu:
Tackling Device Data Distribution Real-time Shift via Prototype-based Parameter Editing. CoRR abs/2509.06552 (2025) - [i237]Yixiao Zhou, Ziyu Zhao, Dongzhou Cheng, Zhiliang Wu, Jie Gui, Yi Yang, Fei Wu, Yu Cheng, Hehe Fan:
Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs. CoRR abs/2509.10377 (2025) - [i236]Xiao Chi, Wenlin Zhong, Yiquan Wu, Wei Wang, Kun Kuang, Fei Wu, Minghui Xiong:
Universal Legal Article Prediction via Tight Collaboration between Supervised Classification Model and LLM. CoRR abs/2509.22119 (2025) - [i235]Tianqi Liu, Kairui Fu, Shengyu Zhang, Wenyan Fan, Zhaocheng Du, Jieming Zhu, Fan Wu, Fei Wu:
CHORD: Customizing Hybrid-precision On-device Model for Sequential Recommendation with Device-cloud Collaboration. CoRR abs/2510.03038 (2025) - [i234]Hehe Fan, Yi Yang, Mohan Kankanhalli, Fei Wu:
Translution: Unifying Self-attention and Convolution for Adaptive and Relative Modeling. CoRR abs/2510.10060 (2025) - [i233]Wenxiang Guo, Changhao Pan, Zhiyuan Zhu, Xintong Hu, Yu Zhang, Li Tang, Rui Yang, Han Wang,