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Yong Liu

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

736

Venues

57

Active years

2022–2026

Best venue rank

A*

Where they publish

Papers

Showing the 300 most recent indexed papers.

YearVenueTitleAuthors
2026AAAIAdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection.Bin-Bin Gao, Yue Zhou, Jiangtao Yan, Yuezhi Cai, Weixi Zhang, Meng Wang, Jun Liu, Yong Liu, Lei Wang, Chengjie Wang
2026AAAIPHPFND: Detecting Fake News via Post-Hoc Processing of LLMs Hallucination.Jinke Ma, Jiachen Ma, Wei Zhang, Yong Liu
2026AAAIPut the Space of LoRA Initialization to the Extreme to Preserve Pre-trained Knowledge.Pengwei Tang, Xiaolin Hu, Yong Liu, Lizhong Ding, Dongjie Zhang, Xing Wu, Debing Zhang
2026AAAILLM-Oriented Token-Adaptive Knowledge Distillation.Xurong Xie, Zhucun Xue, Jiafu Wu, Jian Li, Yabiao Wang, Xiaobin Hu, Yong Liu, Jiangning Zhang
2026AAAIOptMark: Robust Multi-bit Diffusion Watermarking via Inference Time Optimization.Jiazheng Xing, Hai Ci, Hongbin Xu, Hangjie Yuan, Yong Liu, Mike Zheng Shou
2026AAAIPersonalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval.Yingyi Zhang, Pengyue Jia, Derong Xu, Yi Wen, Xianneng Li, Yichao Wang, Wenlin Zhang, Xiaopeng Li, Weinan Gan, Huifeng Guo, Yong Liu, Xiangyu Zhao
2026AAAIDon't Start Over: A Cost-Effective Framework for Migrating Personalized Prompts Between LLMs.Ziyi Zhao, Chongming Gao, Yang Zhang, Haoyan Liu, Weinan Gan, Huifeng Guo, Yong Liu, Fuli Feng
2026AAAINote2Chat: Improving LLMs for Multi-Turn Clinical History Taking Using Medical Notes.Yang Zhou, Zhenting Sheng, Mingrui Tan, Yuting Song, Jun Zhou, Yu Heng Kwan, Lian Leng Low, Yang Bai, Yong Liu
2026ACLBeyond Itinerary Planning - A Real-World Benchmark for Multi-Turn and Tool-Using Travel Tasks.Xiang Cheng, Yulan Hu, Xiangwen Zhang, Lu Xu, Lide Tan, Zheng Pan, Xin Li, Yong Liu
2026ACLThe Agent's First Day: Benchmarking Learning, Exploration, and Scheduling in the Workplace Scenarios.Daocheng Fu, Jianbiao Mei, Rong Wu, Xuemeng Yang, Xu Jia, Ding Wang, Pinlong Cai, Yong Liu, Licheng Wen, Botian Shi
2026ACLDiningBench: A Hierarchical Multi-view Benchmark for Perception and Reasoning in the Dietary Domain.Song Jin, Juntian Zhang, Xun Zhang, Zeying Tian, Fei Jiang, Guojun Yin, Wei Lin, Yong Liu, Rui Yan
2026ACLNo More Stale Feedback: Co-Evolving Critics for Open-World Agent Learning.Zhicong Li, Lingjie Jiang, Yulan Hu, Xingchen Zeng, Yixia Li, Xiangwen Zhang, Guanhua Chen, Zheng Pan, Xin Li, Yong Liu
2026ACLLearnAct: Few-Shot Mobile GUI Agent with a Unified Demonstration Benchmark.Guangyi Liu, Pengxiang Zhao, Liang Liu, Zhiming Chen, Yuxiang Chai, Yaozhen Liang, WenHao Wang, Siheng Chen, Zhengxi Lu, Shuai Ren, Hao Wang, Shibo He, Yong Liu, Wenchao Meng
2026ACLReasonAny: Incorporating Reasoning Capability to Any Model via Simple and Effective Model Merging.Junyao Yang, Chen Qian, Wen Shen, Yong Liu, Jing Shao, Dongrui Liu
2026ACLMemSearch-o1: Empowering Large Language Models with Reasoning-Aligned Memory Growth in Agentic Search.Sheng Zhang, Junyi Li, Yingyi Zhang, Pengyue Jia, Yichao Wang, Xiaowei Qian, Wenlin Zhang, Maolin Wang, Yong Liu, Xiangyu Zhao
2026ACLMAS-Bench: A Unified Benchmark for Shortcut-Augmented Hybrid Mobile GUI Agents.Pengxiang Zhao, Guangyi Liu, Yaozhen Liang, Weiqing He, Zhengxi Lu, WenHao Wang, Yuehao Huang, Yuxiang Chai, Zhaolu Kang, Yaxuan Guo, Hao Wang, Kexin Zhang, Liang Liu, Yong Liu
2026COMPSACCross-Layer Heterogeneous Information Integration and Representation for Web Vulnerability Analysis using LLM and Static Analysis.JiaWang Jiang, Yong Liu, ChaoJie Dai, JiaXue Song, WeiWei Wang
2026COMPSACGVFL: Variable Level Fault Localization Using Graph Representation Learning.Xia Song, Xiaojie Fan, Ruishi Huang, Zheng Li, Yong Liu
2026COMPSACDual Knowledge Graph Retrieval-Augmented Smart Contract Vulnerability Detection.Yan Zheng, Yang Zhou, Yichen Wang, Ying Shang, Yong Liu
2026DASFAAEfficient Personalized Reranking with Semi-autoregressive Generation and Online Knowledge Distillation.Kai Chen, Hao Wang, Wei Guo, Weiwen Liu, Yong Liu, Yawen Li, Enhong Chen
2026DASFAADomain Adaptation Network with Dual-Encoder for Fake News Detection.Ziwen Sun, Yan Yang, Yingli Zhong, Yong Liu
2026DATECAMI: A Context-Aware Isolation Architecture for GPU Memories.Hao Lan, Wei Yan, Qinfen Hao, Xiaochun Ye, Yier Jin, Yong Liu, Ninghui Sun
2026KDDFuXi-γ: Efficient Sequential Recommendation with Exponential-Power Temporal Encoder and Diagonal-Sparse Positional Mechanism.Dezhi Yi, Wei Guo, Wenyang Cui, Wenxuan He, Huifeng Guo, Yong Liu, Zhenhua Dong, Ye Lu
2026KDDThought-Augmented Planning for LLM-Powered Interactive Recommender Agent.Haocheng Yu, Yaxiong Wu, Hao Wang, Wei Guo, Yong Liu, Yawen Li, Yuyang Ye, Junping Du, Enhong Chen
2026WWWDoc-Researcher: A Unified System for Multimodal Document Parsing and Deep Research.Kuicai Dong, Shurui Huang, Fangda Ye, Wei Han, Zhi Zhang, Dexun Li, Wenjun Li, Qu Yang, Gang Wang, Yichao Wang, Chen Zhang, Yong Liu
2026WWWCombating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework.Zhaoqi Wang, Daqing He, Zijian Zhang, Ye Liu, Jiamou Liu, Zhirui Zeng, Zhan Qin, Zhen Li, Xin Li, Hongwei Yao, Jincheng An, Yong Liu, Yi Li, Qi Sun, Xiulei Liu, Liehuang Zhu
2026WWWTo Search or Not to Search: Aligning the Decision Boundary of Deep Search Agents via Causal Intervention.Wenlin Zhang, Kuicai Dong, Junyi Li, Yingyi Zhang, Xiaopeng Li, Pengyue Jia, Yi Wen, Derong Xu, Maolin Wang, Yichao Wang, Yong Liu, Xiangyu Zhao
2026WWWGenerative Data Transformation: From Mixed to Unified Data.Jiaqing Zhang, Mingjia Yin, Hao Wang, Yuxin Tian, Yuyang Ye, Yawen Li, Wei Guo, Yong Liu, Enhong Chen
2026SIGIRFull Retraining, Incremental Fine-tuning, and Hybrid Serving: Model Updating and Serving for Industrial Generative Recommender Systems.Lu Fan, Qijiong Liu, Zhongzhou Liu, Guoyuan An, Wei Guo, Yong Liu, Xiao-Ming Wu
2026SIGIRBridging Personalization and AI: From RAG to Agent.Pengyue Jia, Xiaopeng Li, Derong Xu, Yi Wen, Yingyi Zhang, Wenlin Zhang, Wanyu Wang, Yichao Wang, Yong Liu, Xiangyu Zhao
2026SIGIRFollowTable: A Benchmark for Instruction-Following Table Retrieval.Rihui Jin, Yuchen Lu, Ting Zhang, Jun Wang, Kuicai Dong, Zhaocheng Du, Dongping Liu, Gang Wang, Yong Liu, Guilin Qi
2026SIGIRPersonalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery.Xiaopeng Li, Wenlin Zhang, Yingyi Zhang, Pengyue Jia, Yejing Wang, Yichao Wang, Yong Liu, Huifeng Guo, Xiangyu Zhao
2026WSDMAccelerating Generative Recommendation via Simple Categorical User Sequence Compression.Qijiong Liu, Lu Fan, Zhongzhou Liu, Xiaoyu Dong, Yuankai Luo, Guoyuan An, Nuo Chen, Wei Guo, Yong Liu, Xiao-Ming Wu
2025AAAIVQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering.Chun-Mei Feng, Yang Bai, Tao Luo, Zhen Li, Salman H. Khan, Wangmeng Zuo, Rick Siow Mong Goh, Yong Liu
2025AAAIDecentralized Federated Learning with Model Caching on Mobile Agents.Xiaoyu Wang, Guojun Xiong, Houwei Cao, Jian Li, Yong Liu
2025AAAIDensely Connected Parameter-Efficient Tuning for Referring Image Segmentation.Jiaqi Huang, Zunnan Xu, Ting Liu, Yong Liu, Haonan Han, Kehong Yuan, Xiu Li
2025AAAIStability and Generalization of Zeroth-Order Decentralized Stochastic Gradient Descent with Changing Topology.Xiaolin Hu, Zixuan Gong, Gengze Xu, Wei Liu, Jian Luan, Bin Wang, Yong Liu
2025AAAILook Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning.Danni Peng, Yuan Wang, Huazhu Fu, Jinpeng Jiang, Yong Liu, Rick Siow Mong Goh, Qingsong Wei
2025AAAIIteRPrimE: Zero-shot Referring Image Segmentation with Iterative Grad-CAM Refinement and Primary Word Emphasis.Yuji Wang, Jingchen Ni, Yong Liu, Chun Yuan, Yansong Tang
2025AAAIDriving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving.Yu Yang, Jianbiao Mei, Yukai Ma, Siliang Du, Wenqing Chen, Yijie Qian, Yuxiang Feng, Yong Liu
2025AAAIAdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization.Xiao Zhang, Sunhao Dai, Jun Xu, Yong Liu, Zhenhua Dong
2025ACLRAPID: Efficient Retrieval-Augmented Long Text Generation with Writing Planning and Information Discovery.Hongchao Gu, Dexun Li, Kuicai Dong, Hao Zhang, Hang Lv, Hao Wang, Defu Lian, Yong Liu, Enhong Chen
2025ACLAdaptive Tool Use in Large Language Models with Meta-Cognition Trigger.Wenjun Li, Dexun Li, Kuicai Dong, Cong Zhang, Hao Zhang, Weiwen Liu, Yasheng Wang, Ruiming Tang, Yong Liu
2025ACLDo not Abstain! Identify and Solve the Uncertainty.Jingyu Liu, JingquanPeng JingquanPeng, Xiaopeng Wu, Xubin Li, Tiezheng Ge, Bo Zheng, Yong Liu
2025ACLCtrlA: Adaptive Retrieval-Augmented Generation via Inherent Control.Huanshuo Liu, Hao Zhang, Zhijiang Guo, Jing Wang, Kuicai Dong, Xiangyang Li, Yi Quan Lee, Cong Zhang, Yong Liu
2025ACLTowards Reward Fairness in RLHF: From a Resource Allocation Perspective.Sheng Ouyang, Yulan Hu, Ge Chen, Qingyang Li, Fuzheng Zhang, Yong Liu
2025ACLThe Tug of War Within: Mitigating the Fairness-Privacy Conflicts in Large Language Models.Chen Qian, Dongrui Liu, Jie Zhang, Yong Liu, Jing Shao
2025ACLRevisiting Weak-to-Strong Generalization in Theory and Practice: Reverse KL vs. Forward KL.Wei Yao, Wenkai Yang, Ziqiao Wang, Yankai Lin, Yong Liu
2025APWEBA Cross-Modal Fusion Method for Short Video Fake News Detection via MambaFormer.Chunyu Zhang, Liyuan Zhang, Jiachen Ma, Wei Zhang, Yong Liu
2025COLINGPlanning with Multi-Constraints via Collaborative Language Agents.Cong Zhang, Derrick-Goh-Xin Deik, Dexun Li, Hao Zhang, Yong Liu
2025CVPRGroundingFace: Fine-grained Face Understanding via Pixel Grounding Multimodal Large Language Model.Yue Han, Jiangning Zhang, Junwei Zhu, Runze Hou, Xiaozhong Ji, Chuming Lin, Xiaobin Hu, Zhucun Xue, Yong Liu
2025CVPRAction Detail Matters: Refining Video Recognition with Local Action Queries.Mengmeng Wang, Zeyi Huang, Xiangjie Kong, Guojiang Shen, Guang Dai, Jingdong Wang, Yong Liu
2025CVPRTIMotion: Temporal and Interactive Framework for Efficient Human-Human Motion Generation.Yabiao Wang, Shuo Wang, Jiangning Zhang, Ke Fan, Jiafu Wu, Zhucun Xue, Yong Liu
2025CVPRSAM2-LOVE: Segment Anything Model 2 in Language-aided Audio-Visual Scenes.Yuji Wang, Haoran Xu, Yong Liu, Jiaze Li, Yansong Tang
2025CVPRHyperSeg: Hybrid Segmentation Assistant with Fine-grained Visual Perceiver.Cong Wei, Yujie Zhong, Haoxian Tan, Yong Liu, Jie Hu, Dengjie Li, Zheng Zhao, Yujiu Yang
2025DASFAAResolving Embedding-Ignoring Conflict in Graph Contrastive Learning-Based Rumor Detection.Jiachen Ma, Jing Dai, Wei Zhang, Yong Liu
2025DASFAAA Universal Framework for Compressing Embeddings in CTR Prediction.Kefan Wang, Hao Wang, Kenan Song, Wei Guo, Kai Cheng, Zhi Li, Yong Liu, Defu Lian, Enhong Chen
2025DASFAALLM-Driven Evidence Retrieval and Graph Learning for Explainable Rumor Detection.Jiafu Yang, Junyan Chen, Wei Zhang, Yong Liu
2025DASFAAKMMN: Knowledge Enhanced Multimodal Multi-grained Network for Fake News Detection.Liyuan Zhang, Zeyun Cheng, Zhongyan Gui, Yan Yang, Yong Liu
2025DASFAAT 3SVFND: Towards an Evolving Fake News Detector for Emergencies with Test-Time Training on Short Video Platforms.Liyuan Zhang, Zeyun Cheng, Zhongyan Gui, Yan Yang, Yong Liu, Jinke Ma
2025DATEAccelerating Oblivious Transfer with a Pipelined Architecture.Xiaolin Li, Wei Yan, Hongwei Liu, Yong Zhang, Qinfen Hao, Yong Liu, Ninghui Sun
2025ECAIHistory-Aware and Dynamic Client Contribution in Federated Learning.Bishwamittra Ghosh, Debabrota Basu, Huazhu Fu, Yuan Wang, Renuga Kanagavelu, Jinpeng Jiang, Yong Liu, Rick Siow Mong Goh, Qingsong Wei
2025EMNLPRevisiting Chain-of-Thought Prompting: Zero-shot Can Be Stronger than Few-shot.Xiang Cheng, Chengyan Pan, Minjun Zhao, Deyang Li, Fangchao Liu, Xinyu Zhang, Xiao Zhang, Yong Liu
2025EMNLPMMDocIR: Benchmarking Multimodal Retrieval for Long Documents.Kuicai Dong, Yujing Chang, Derrick-Goh-Xin Deik, Dexun Li, Ruiming Tang, Yong Liu
2025EMNLPExploring the Limitations of Mamba in COPY and CoT Reasoning.Ruifeng Ren, Zhicong Li, Yong Liu
2025EMNLPSPPD: Self-training with Process Preference Learning Using Dynamic Value Margin.Hao Yi, Qingyang Li, Yulan Hu, Fuzheng Zhang, Di Zhang, Yong Liu
2025EMNLPReward Mixology: Crafting Hybrid Signals for Reinforcement Learning Driven In-Context Learning.Changshuo Zhang, Ang Gao, Xiao Zhang, Yong Liu, Deyang Li, Fangchao Liu, Xinyu Zhang
2025EuroParParTEE: A Framework for Secure Parallel Computing of RISC-V Trusted Execution Environments.Hao Lan, Ziang Zhou, Qi Zhu, Wei Yan, Qinfen Hao, Xiaochun Ye, Yong Liu, Ninghui Sun
2025ICASSPOARecon: Object-Aware Viewpoint Augmentation for Indoor Compositional Reconstruction.Yuanyuan Ding, Yiming Fei, Jiandang Yang, Xiaobin Wei, Jiajun Lv, Yong Liu
2025ICASSPCFSum: A Transformer-Based Multi-Modal Video Summarization Framework With Coarse-Fine Fusion.Yaowei Guo, Jiazheng Xing, Xiaojun Hou, Shuo Xin, Juntao Jiang, Demetri Terzopoulos, Chenfanfu Jiang, Yong Liu
2025ICASSPContrastive Pre-Training and Post-Tuning for Heterogeneous Graph Learning.Yulan Hu, Sheng Ouyang, Zhirui Yang, Yong Liu
2025ICASSPVPCI: Self-Supervised Visual Prompt-Guided Cross-Domain Interactive Image Fusion Framework.Yong Liu, Chengyu Wu, Jiayuan Cui, Bin Jiang
2025ICCVLLaVA-KD: A Framework of Distilling Multimodal Large Language Models.Yuxuan Cai, Jiangning Zhang, Haoyang He, Xinwei He, Ao Tong, Zhenye Gan, Chengjie Wang, Zhucun Xue, Yong Liu, Xiang Bai
2025ICCVPatchScaler: An Efficient Patch-Independent Diffusion Model for Image Super-Resolution.Yong Liu, Hang Dong, Jinshan Pan, Qingji Dong, Kai Chen, Rongxiang Zhang, Lean Fu, Fei Wang
2025ICCVStepping Out of Similar Semantic Space for Open-Vocabulary Segmentation.Yong Liu, Song-Li Wu, Sule Bai, Jiahao Wang, Yitong Wang, Yansong Tang
2025ICCVCoHD: A Counting-Aware Hierarchical Decoding Framework for Generalized Referring Expression Segmentation.Zhuoyan Luo, Yinghao Wu, Tianheng Cheng, Yong Liu, Yicheng Xiao, Hongfa Wang, Xiao-Ping Zhang, Yujiu Yang
2025ICCVLiT: Delving into a Simple Linear Diffusion Transformer for Image Generation.Jiahao Wang, Ning Kang, Lewei Yao, Mengzhao Chen, Chengyue Wu, Songyang Zhang, Shuchen Xue, Yong Liu, Taiqiang Wu, Xihui Liu, Kaipeng Zhang, Shifeng Zhang, Wenqi Shao, Zhenguo Li, Ping Luo
2025ICCVInstructseg: Unifying Instructed Visual Segmentation with Multi-Modal Large Language Models.Cong Wei, Yujie Zhong, Haoxian Tan, Yingsen Zeng, Yong Liu, Hongfa Wang, Yujiu Yang
2025ICCVDriveArena: A Closed-Loop Generative Simulation Platform for Autonomous Driving.Xuemeng Yang, Licheng Wen, Tiantian Wei, Yukai Ma, Jianbiao Mei, Xin Li, Wenjie Lei, Daocheng Fu, Pinlong Cai, Min Dou, Liang He, Yong Liu, Botian Shi, Yu Qiao
2025ICCVA Comprehensive Library for Benchmarking Multi-Class Visual Anomaly Detection.Jiangning Zhang, Haoyang He, Zhenye Gan, Qingdong He, Yuxuan Cai, Zhucun Xue, Yabiao Wang, Chengjie Wang, Lei Xie, Yong Liu
2025ICCVFlash-Vstream: Efficient Real-Time Understanding for Long Video Streams.Haoji Zhang, Yiqin Wang, Yansong Tang, Yong Liu, Jiashi Feng, Xiaojie Jin
2025ICDARDAFSVFND: Dual Attention Fusion Network for Fake News Detection on Short Video Platforms.Ruofan Li, Wei Zhang, Yong Liu
2025ICECCSEMS-HFL: A Hybrid Based Fault Localization.Donghua Wang, Zheng Li, Hengyuan Liu, Yong Liu
2025ICLRMMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection.Xi Jiang, Jian Li, Hanqiu Deng, Yong Liu, Bin-Bin Gao, Yifeng Zhou, Jialin Li, Chengjie Wang, Feng Zheng
2025ICLRTowards a Theoretical Understanding of Synthetic Data in LLM Post-Training: A Reverse-Bottleneck Perspective.Zeyu Gan, Yong Liu
2025ICLRTowards Auto-Regressive Next-Token Prediction: In-context Learning Emerges from Generalization.Zixuan Gong, Xiaolin Hu, Huayi Tang, Yong Liu
2025ICLRToolACE: Winning the Points of LLM Function Calling.Weiwen Liu, Xu Huang, Xingshan Zeng, Xinlong Hao, Shuai Yu, Dexun Li, Shuai Wang, Weinan Gan, Zhengying Liu, Yuanqing Yu, Zezhong Wang, Yuxian Wang, Wu Ning, Yutai Hou, Bin Wang, Chuhan Wu, Xinzhi Wang, Yong Liu, Yasheng Wang, Duyu Tang, Dandan Tu, Lifeng Shang, Xin Jiang, Ruiming Tang, Defu Lian, Qun Liu, Enhong Chen
2025ICLRTimer-XL: Long-Context Transformers for Unified Time Series Forecasting.Yong Liu, Guo Qin, Xiangdong Huang, Jianmin Wang, Mingsheng Long
2025ICLRADePT: Adaptive Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning.Pengwei Tang, Xiaolin Hu, Yong Liu
2025ICLROn the Importance of Language-driven Representation Learning for Heterogeneous Federated Learning.Yunlu Yan, Chun-Mei Feng, Wangmeng Zuo, Salman H. Khan, Yong Liu, Lei Zhu
2025ICLRFederated Residual Low-Rank Adaptation of Large Language Models.Yunlu Yan, Chun-Mei Feng, Wangmeng Zuo, Rick Siow Mong Goh, Yong Liu, Lei Zhu
2025ICLRSuper(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization.Wenkai Yang, Shiqi Shen, Guangyao Shen, Wei Yao, Yong Liu, Gong Zhi, Yankai Lin, Ji-Rong Wen
2025ICLRREEF: Representation Encoding Fingerprints for Large Language Models.Jie Zhang, Dongrui Liu, Chen Qian, Linfeng Zhang, Yong Liu, Yu Qiao, Jing Shao
2025ICMLUnderstanding Model Ensemble in Transferable Adversarial Attack.Wei Yao, Zeliang Zhang, Huayi Tang, Yong Liu
2025ICMLSeedLoRA: A Fusion Approach to Efficient LLM Fine-Tuning.Yong Liu, Di Fu, Shenggan Cheng, Zirui Zhu, Yang Luo, Minhao Cheng, Cho-Jui Hsieh, Yang You
2025ICMLRethinking External Slow-Thinking: From Snowball Errors to Probability of Correct Reasoning.Zeyu Gan, Yun Liao, Yong Liu
2025ICMLSundial: A Family of Highly Capable Time Series Foundation Models.Yong Liu, Guo Qin, Zhiyuan Shi, Zhi Chen, Caiyin Yang, Xiangdong Huang, Jianmin Wang, Mingsheng Long
2025ICMLMERIT: Maximum-normalized Element-wise Ratio for Language Model Large-batch Training.Yang Luo, Zangwei Zheng, Ziheng Qin, Zirui Zhu, Yong Liu, Yang You
2025ICMLDynaMind: Reasoning over Abstract Video Dynamics for Embodied Decision-Making.Ziru Wang, Mengmeng Wang, Jade Dai, Teli Ma, Guo-Jun Qi, Yong Liu, Guang Dai, Jingdong Wang
2025IJCAITheoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization.Xinhao Yao, Hongjin Qian, Xiaolin Hu, Gengze Xu, Wei Liu, Jian Luan, Bin Wang, Yong Liu
2025IJCAIFreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting.Wenzhen Yue, Yong Liu, Xianghua Ying, Bowei Xing, Ruohao Guo, Ji Shi
2025IJCAITowards Improved Risk Bounds for Transductive Learning.Bowei Zhu, Shaojie Li, Yong Liu
2025ICRAMARF: Cooperative Multi-Agent Path Finding with Reinforcement Learning and Frenet Lattice in Dynamic Environments.Tianyang Hu, Zhen Zhang, Chengrui Zhu, Gang Xu, Yuchen Wu, Huifeng Wu, Yong Liu
2025ICRAGaussian-LIC: Real-Time Photo-Realistic SLAM with Gaussian Splatting and LiDAR-Inertial-Camera Fusion.Xiaolei Lang, Laijian Li, Chenming Wu, Chen Zhao, Lina Liu, Yong Liu, Jiajun Lv, Xingxing Zuo
2025IROSKGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning.Bingran Chen, Baorun Li, Jian Yang, Yong Liu, Guangyao Zhai
2025IROSLITE: A Learning-Integrated Topological Explorer for Multi-Floor Indoor Environments.Junhao Chen, Zhen Zhang, Chengrui Zhu, Xiaojun Hou, Tianyang Hu, Huifeng Wu, Yong Liu
2025IROSEfficient Learning of A Unified Policy For Whole-body Manipulation and Locomotion Skills.Dianyong Hou, Chengrui Zhu, Zhen Zhang, Zhibin Li, Chuang Guo, Yong Liu
2025IROSL2Calib: SE (3)-Manifold Reinforcement Learning for Robust Extrinsic Calibration with Degenerate Motion Resilience.Baorun Li, Chengrui Zhu, Siyi Du, Bingran Chen, Jie Ren, Wenfei Wang, Yong Liu, Jiajun Lv
2025IROSL2COcc: Lightweight Camera-Centric Semantic Scene Completion via Distillation of LiDAR Model.Ruoyu Wang, Yukai Ma, Yi Yao, Sheng Tao, Haoang Li, Zongzhi Zhu, Yong Liu, Xingxing Zuo
2025IROSLearning Symmetric Legged Locomotion via State Distribution Symmetrization.Chengrui Zhu, Zhen Zhang, Siqi Li, Qingpeng Li, Yong Liu
2025ICRAHash-GS: Anchor-Based 3D Gaussian Splatting with Multi-Resolution Hash Encoding for Efficient Scene Reconstruction.Yijia Xie, Yuhang Lin, Laijian Li, Lina Liu, Xiaobin Wei, Yong Liu, Jiajun Lv
2025ICRASARO: Space-Aware Robot System for Terrain Crossing via Vision-Language Model.Shaoting Zhu, Derun Li, Linzhan Mou, Yong Liu, Ningyi Xu, Hang Zhao
2025KDDBreaking the Bottleneck: User-Specific Optimization and Real-Time Inference Integration for Sequential Recommendation.Wenjia Xie, Hao Wang, Minghao Fang, Ruize Yu, Wei Guo, Yong Liu, Defu Lian, Enhong Chen
2025KDDMulti-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction.Xiang Xu, Hao Wang, Wei Guo, Luankang Zhang, Wanshan Yang, Runlong Yu, Yong Liu, Defu Lian, Enhong Chen
2025KDDLSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration.Yingyi Zhang, Pengyue Jia, Xianneng Li, Derong Xu, Maolin Wang, Yichao Wang, Zhaocheng Du, Huifeng Guo, Yong Liu, Ruiming Tang, Xiangyu Zhao
2025MICCAIMedGCD: Generalized Category Discovery in Medical Imaging.Ankit Das, Chandan Gautam, Pritee Agrawal, Feng Yang, Yong Liu, Ramasamy Savitha
2025MICCAIDGM: Disentangled Generative Model for Detecting AD Individualized Pathological Changes via Pseudo-Healthy Synthesis.Zhuangzhuang Li, Kun Zhao, Dong Wang, Yong Liu
2025MICCAIAdvMIM: Adversarial Masked Image Modeling for Semi-supervised Medical Image Segmentation.Lei Zhu, Jun Zhou, Rick Siow Mong Goh, Yong Liu
2025MICCAIMaskedCLIP: Bridging the Masked and CLIP Space for Semi-supervised Medical Vision-Language Pre-training.Lei Zhu, Jun Zhou, Rick Siow Mong Goh, Yong Liu
2025MMSysSpatial Visibility and Temporal Dynamics: Rethinking Field of View Prediction in Adaptive Point Cloud Video Streaming.Chen Li, Tongyu Zong, Yueyu Hu, Yao Wang, Yong Liu
2025PAKDDDoTA: Weight-Decomposed Tensor Adaptation for Large Language Models.Xiaolin Hu, Xiang Cheng, Peiyu Liu, Wei Liu, Jian Luan, Bin Wang, Yong Liu
2025PRICAIAn End-to-End Deep Learning Framework for Alzheimer's Disease Diagnosis by Using Multi-site and Multi-modal MRI Data.Qichen Zhang, Yunhui Yue, Di Zhang, Kun Zhao, Alan Wang, Bing Xue, Yong Liu, Fangrong Zong
2025QRSLeveraging Retrieval Augmented Generation to Enhance LLM-Based Fault Localization for Novice Programs.Bin Du, Xiaolan Kang, Hexiang Xu, Yonghao Wu, Yong Liu
2025QRSEmpirical Evaluation of LLMs for Automated Program Fault Localisation.Yong Liu, Xin Wang, Hengyuan Liu, Ruishi Huang, Yonghao Wu
2025QRSMutants and Test Cases Reduction Strategy for Fault Localization via Graph Representation.Zheng Li, Binbin Yang, Yue Deng, Shumei Wu, Yong Liu
2025WWWA Districting System for Sales Territory Design.Peilin Chen, Xulin Wang, Xin Shu, Yong Liu, Pan Wang
2025WWWGenerative Large Recommendation Models: Emerging Trends in LLMs for Recommendation.Hao Wang, Wei Guo, Luankang Zhang, Jin Yao Chin, Yufei Ye, Huifeng Guo, Yong Liu, Defu Lian, Ruiming Tang, Enhong Chen
2025WWWFuXi-α: Scaling Recommendation Model with Feature Interaction Enhanced Transformer.Yufei Ye, Wei Guo, Jin Yao Chin, Hao Wang, Hong Zhu, Xi Lin, Yuyang Ye, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen
2025WWWMIT: A Multi-Tower Information Transfer Framework Based on Hierarchical Task Relationship Modeling.Rui Zhou, Hao Wang, Wei Guo, Qinglin Jia, Wenjia Xie, Xiang Xu, Yong Liu, Defu Lian, Enhong Chen
2025SIGIRDLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction.Kefan Wang, Hao Wang, Wei Guo, Yong Liu, Jianghao Lin, Defu Lian, Enhong Chen
2025SIGIRKilling Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation Model.Luankang Zhang, Kenan Song, Yi Quan Lee, Wei Guo, Hao Wang, Yawen Li, Huifeng Guo, Yong Liu, Defu Lian, Enhong Chen
2025WACVAdLei Zhu, Yanyu Xu, Yong Liu, Rick Siow Mong Goh, Xinxing Xu
2024AAAIUnsupervised Continual Anomaly Detection with Contrastively-Learned Prompt.Jiaqi Liu, Kai Wu, Qiang Nie, Ying Chen, Bin-Bin Gao, Yong Liu, Jinbao Wang, Chengjie Wang, Feng Zheng
2024AAAILearning Multi-Scale Video-Text Correspondence for Weakly Supervised Temporal Article Gronding.Wenjia Geng, Yong Liu, Lei Chen, Sujia Wang, Jie Zhou, Yansong Tang
2024AAAIBeyond Prototypes: Semantic Anchor Regularization for Better Representation Learning.Yanqi Ge, Qiang Nie, Ye Huang, Yong Liu, Chengjie Wang, Feng Zheng, Wen Li, Lixin Duan
2024AAAIHigh-Dimensional Analysis for Generalized Nonlinear Regression: From Asymptotics to Algorithm.Jian Li, Yong Liu, Weiping Wang
2024AAAIFedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning.Jian Li, Yong Liu, Weiping Wang
2024AAAIConvolutional Spectral Kernel Learning with Generalization Guarantees (Abstract Reprint).Jian Li, Yong Liu, Weiping Wang
2024AAAIASWT-SGNN: Adaptive Spectral Wavelet Transform-Based Self-Supervised Graph Neural Network.Ruyue Liu, Rong Yin, Yong Liu, Weiping Wang
2024AAAIRLPeri: Accelerating Visual Perimetry Test with Reinforcement Learning and Convolutional Feature Extraction.Tanvi Verma, Linh Le Dinh, Nicholas Tan, Xinxing Xu, Ching-Yu Cheng, Yong Liu
2024AAAIA Multimodal, Multi-Task Adapting Framework for Video Action Recognition.Mengmeng Wang, Jiazheng Xing, Boyuan Jiang, Jun Chen, Jianbiao Mei, Xingxing Zuo, Guang Dai, Jingdong Wang, Yong Liu
2024AAAIWaveNet: Tackling Non-stationary Graph Signals via Graph Spectral Wavelets.Zhirui Yang, Yulan Hu, Sheng Ouyang, Jingyu Liu, Shuqiang Wang, Xibo Ma, Wenhan Wang, Hanjing Su, Yong Liu
2024ACLTowards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models.Chen Qian, Jie Zhang, Wei Yao, Dongrui Liu, Zhenfei Yin, Yu Qiao, Yong Liu, Jing Shao
2024ACLETAS: Zero-Shot Transformer Architecture Search via Network Trainability and Expressivity.Jiechao Yang, Yong Liu
2024ACMLMulti-Task Network Guided Multimodal Fusion for Fake News Detection.Jinke Ma, Liyuan Zhang, Yong Liu, Wei Zhang
2024APWEBExternal Knowledge Enhancing Meta-learning Framework for Few-Shot Text Classification via Contrastive Learning and Adversarial Network.Xin Sun, Yan Yang, Yong Liu
2024BMVCDistribution-Aware Calibration for Object Detection with Noisy Bounding Boxes.Donghao Zhou, Jialin Li, Jinpeng Li, Jiancheng Huang, Qiang Nie, Yong Liu, Bin-Bin Gao, Qiong Wang, Pheng-Ann Heng, Guangyong Chen
2024CIKMEnhancing Click-through Rate Prediction in Recommendation Domain with Search Query Representation.Yuening Wang, Man Chen, Yaochen Hu, Wei Guo, Yingxue Zhang, Huifeng Guo, Yong Liu, Mark Coates
2024COMPSACNeural-MBFL: Improving Mutation-Based Fault Localization by Neural Mutation.Bin Du, Baolong Han, Hengyuan Liu, Zexing Chang, Yong Liu, Xiang Chen
2024CVPRSDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object Tracking.Xiaojun Hou, Jiazheng Xing, Yijie Qian, Yaowei Guo, Shuo Xin, Junhao Chen, Kai Tang, Mengmeng Wang, Zhengkai Jiang, Liang Liu, Yong Liu
2024CVPRLORS: Low-Rank Residual Structure for Parameter-Efficient Network Stacking.Jialin Li, Qiang Nie, Weifu Fu, Yuhuan Lin, Guangpin Tao, Yong Liu, Chengjie Wang
2024CVPROpen-Vocabulary Segmentation with Semantic-Assisted Calibration.Yong Liu, Sule Bai, Guanbin Li, Yitong Wang, Yansong Tang
2024CVPRUniversal Segmentation at Arbitrary Granularity with Language Instruction.Yong Liu, Cairong Zhang, Yitong Wang, Jiahao Wang, Yujiu Yang, Yansong Tang
2024CVPRAn Aggregation-Free Federated Learning for Tackling Data Heterogeneity.Yuan Wang, Huazhu Fu, Renuga Kanagavelu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh
2024CVPRMaxQ: Multi-Axis Query for N: m Sparsity Network.Jingyang Xiang, Siqi Li, Junhao Chen, Zhuangzhi Chen, Tianxin Huang, Linpeng Peng, Yong Liu
2024CVPRBridging the Gap: A Unified Video Comprehension Framework for Moment Retrieval and Highlight Detection.Yicheng Xiao, Zhuoyan Luo, Yong Liu, Yue Ma, Hengwei Bian, Yatai Ji, Yujiu Yang, Xiu Li
2024CVPRPaint3D: Paint Anything 3D With Lighting-Less Texture Diffusion Models.Xianfang Zeng, Xin Chen, Zhongqi Qi, Wen Liu, Zibo Zhao, Zhibin Wang, Bin Fu, Yong Liu, Gang Yu
2024DASFAAAdvancing Latent Representation Ranking for Masked Graph Autoencoder.Yulan Hu, Ge Chen, Sheng Ouyang, Zhirui Yang, Junchen Wan, Fuzheng Zhang, Zhongyuan Wang, Zhao Cao, Shangquan Wu, Yong Liu
2024EACLParameter-Efficient Conversational Recommender System as a Language Processing Task.Mathieu Ravaut, Hao Zhang, Lu Xu, Aixin Sun, Yong Liu
2024ECCVFace-Adapter for Pre-trained Diffusion Models with Fine-Grained ID and Attribute Control.Yue Han, Junwei Zhu, Keke He, Xu Chen, Yanhao Ge, Wei Li, Xiangtai Li, Jiangning Zhang, Chengjie Wang, Yong Liu
2024ECCVTuning-Free Image Customization with Image and Text Guidance.Pengzhi Li, Qiang Nie, Ying Chen, Xi Jiang, Kai Wu, Yuhuan Lin, Yong Liu, Jinlong Peng, Chengjie Wang, Feng Zheng
2024ECCVOvSW: Overcoming Silent Weights for Accurate Binary Neural Networks.Jingyang Xiang, Zuohui Chen, Siqi Li, Qing Wu, Yong Liu
2024ECCVTimestep-Aware Correction for Quantized Diffusion Models.Yuzhe Yao, Feng Tian, Jun Chen, Haonan Lin, Guang Dai, Yong Liu, Jingdong Wang
2024EMNLPMC-indexing: Effective Long Document Retrieval via Multi-view Content-aware Indexing.Kuicai Dong, Derrick-Goh-Xin Deik, Yi Lee, Hao Zhang, Xiangyang Li, Cong Zhang, Yong Liu
2024EMNLPStructured Optimal Brain Pruning for Large Language Models.Jiateng Wei, Quan Lu, Ning Jiang, Siqi Li, Jingyang Xiang, Jun Chen, Yong Liu
2024ETSA Novel Power Analysis Attack against CRYSTALS-Dilithium Implementation.Yong Liu, Yuejun Liu, Yongbin Zhou, Yiwen Gao, Zehua Qiao, Huaxin Wang
2024GLOBECOMAoI-oriented Adaptive Cooperative Transmission and Scheduling for Wireless Powered IoT Networks.Luoyu Zhang, Yunfeng Chen, Yong Liu, Yu Huang, Lei Zheng, Fen Hou, Lin X. Cai
2024ICASSPDCS: Debiased Contrastive Learning with Weak Supervision for Time Series Classification.Rongyao Cai, Linpeng Peng, Zhengming Lu, Kexin Zhang, Yong Liu
2024ICASSPGFMAE: Self-Supervised GNN-Free Masked Autoencoders.Yulan Hu, Sheng Ouyang, Zhirui Yang, Yi Zhao, Junchen Wan, Fuzheng Zhang, Zhongyuan Wang, Yong Liu
2024ICASSPCKT-RCM: Clip-Based Knowledge Transfer and Relational Context Mining for Unbiased Panoptic Scene Graph Generation.Nanhao Liang, Yong Liu, Wenfang Sun, Yingwei Xia, Fan Wang
2024ICASSPSkip-Step Contrastive Predictive Coding for Time Series Anomaly Detection.Kexin Zhang, Qingsong Wen, Chaoli Zhang, Liang Sun, Yong Liu
2024ICLRDecentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold.Jun Chen, Haishan Ye, Mengmeng Wang, Tianxin Huang, Guang Dai, Ivor W. Tsang, Yong Liu
2024ICLRSentence-level Prompts Benefit Composed Image Retrieval.Yang Bai, Xinxing Xu, Yong Liu, Salman Khan, Fahad Khan, Wangmeng Zuo, Rick Siow Mong Goh, Chun-Mei Feng
2024ICLRiTransformer: Inverted Transformers Are Effective for Time Series Forecasting.Yong Liu, Tengge Hu, Haoran Zhang, Haixu Wu, Shiyu Wang, Lintao Ma, Mingsheng Long
2024ICLRSolving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution.Shanqi Liu, Dong Xing, Pengjie Gu, Xinrun Wang, Bo An, Yong Liu
2024ICMLConcentration Inequalities for General Functions of Heavy-Tailed Random Variables.Shaojie Li, Yong Liu
2024ICMLPerfect Alignment May be Poisonous to Graph Contrastive Learning.Jingyu Liu, Huayi Tang, Yong Liu
2024ICMLTimer: Generative Pre-trained Transformers Are Large Time Series Models.Yong Liu, Haoran Zhang, Chenyu Li, Xiangdong Huang, Jianmin Wang, Mingsheng Long
2024ICMLAlgorithmic Stability Unleashed: Generalization Bounds with Unbounded Losses.Shaojie Li, Bowei Zhu, Yong Liu
2024ICMLCSMOTE-CHL-LightGBM: An Enhanced LightGBM for Credit Card Fraud Detection.Xiaosong Zhao, Yong Liu, Qiangfu Zhao
2024IJCAIHeterGCL: Graph Contrastive Learning Framework on Heterophilic Graph.Chenhao Wang, Yong Liu, Yan Yang, Wei Li
2024IJCAITowards Sharper Risk Bounds for Minimax Problems.Bowei Zhu, Shaojie Li, Yong Liu
2024ICRAA Coarse-to-Fine Place Recognition Approach using Attention-guided Descriptors and Overlap Estimation.Chencan Fu, Lin Li, Jianbiao Mei, Yukai Ma, Linpeng Peng, Xiangrui Zhao, Yong Liu
2024ICRARadarCam-Depth: Radar-Camera Fusion for Depth Estimation with Learned Metric Scale.Han Li, Yukai Ma, Yaqing Gu, Kewei Hu, Yong Liu, Xingxing Zuo
2024IJCNNAddressing Predicate Overlap in Scene Graph Generation with Semantics-prototype Learning.Nanhao Liang, Yong Liu, Fan Wang, Yingwei Xia
2024IROSMonocular Event-Inertial Odometry with Adaptive decay-based Time Surface and Polarity-aware Tracking.Kai Tang, Xiaolei Lang, Yukai Ma, Yuehao Huang, Laijian Li, Yong Liu, Jiajun Lv
2024IROSHierarchical Search-Based Cooperative Motion Planning.Yuchen Wu, Yifan Yang, Gang Xu, Junjie Cao, Yansong Chen, Licheng Wen, Yong Liu
2024IROSA Robotic-centric Paradigm for 3D Human Tracking Under Complex Environments Using Multi-modal Adaptation.Shuo Xin, Zhen Zhang, Liang Liu, Xiaojun Hou, Deye Zhu, Mengmeng Wang, Yong Liu
2024IROSLearning Safe Locomotion for Quadrupedal Robots by Derived-Action Optimization.Deye Zhu, Chengrui Zhu, Zhen Zhang, Shuo Xin, Yong Liu
2024ICRAMulti-modal 3D Human Tracking for Robots in Complex Environment with Siamese Point-Video Transformer.Shuo Xin, Zhen Zhang, Mengmeng Wang, Xiaojun Hou, Yaowei Guo, Xiao Kang, Liang Liu, Yong Liu
2024ICRASemi-Supervised Learning for Visual Bird's Eye View Semantic Segmentation.Junyu Zhu, Lina Liu, Yu Tang, Feng Wen, Wanlong Li, Yong Liu
2024IGARSSMultiple Ship Tracking Across Multiple LEO Satellites.Yong Liu, Pengyu Guo, Lu Cao, Xinhui Wang, Ling Meng, Kai Wang
2024ISSRETLFL: Token-Level Fault Localization for Novice Programs via Graph Representation Learning.Yong Liu, Ruishi Huang, Jizhe Yang, Binbin Yang, Shumei Wu
2024KDDNeural Retrievers are Biased Towards LLM-Generated Content.Sunhao Dai, Yuqi Zhou, Liang Pang, Weihao Liu, Xiaolin Hu, Yong Liu, Xiao Zhang, Gang Wang, Jun Xu
2024KDDReimagining Graph Classification from a Prototype View with Optimal Transport: Algorithm and Theorem.Chen Qian, Huayi Tang, Hong Liang, Yong Liu
2024KDDDataset Regeneration for Sequential Recommendation.Mingjia Yin, Hao Wang, Wei Guo, Yong Liu, Suojuan Zhang, Sirui Zhao, Defu Lian, Enhong Chen
2024MICCAIDecoupled Training for Semi-supervised Medical Image Segmentation with Worst-Case-Aware Learning.Ankit Das, Chandan Gautam, Hisham Cholakkal, Pritee Agrawal, Feng Yang, Ramasamy Savitha, Yong Liu
2024MICCAIMemory-Efficient High-Resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models.Kun Huang, Xiao Ma, Yuhan Zhang, Na Su, Songtao Yuan, Yong Liu, Qiang Chen, Huazhu Fu
2024MICCAITowards a Benchmark for Colorectal Cancer Segmentation in Endorectal Ultrasound Videos: Dataset and Model Development.Yuncheng Jiang, Yiwen Hu, Zixun Zhang, Jun Wei, Chun-Mei Feng, Xuemei Tang, Xiang Wan, Yong Liu, Shuguang Cui, Zhen Li
2024MICCAIMedSynth: Leveraging Generative Model for Healthcare Data Sharing.Renuga Kanagavelu, Madhav Walia, Yuan Wang, Huazhu Fu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh
2024MICCAIEnhancing Community Vision Screening: AI-Driven Retinal Photography for Early Disease Detection and Patient Trust.Xiaofeng Lei, Yih Chung Tham, Jocelyn Hui Lin Goh, Yangqin Feng, Yang Bai, Zhi Da Soh, Rick Siow Mong Goh, Xinxing Xu, Yong Liu, Ching-Yu Cheng
2024MICCAIMulti-Scale Region-Aware Implicit Neural Network for Medical Images Matting.Yanyu Xu, Yingzhi Xia, Huazhu Fu, Rick Siow Mong Goh, Yong Liu, Xinxing Xu
2024MICCAIA New Perspective to Boost Performance Fairness For Medical Federated Learning.Yunlu Yan, Lei Zhu, Yuexiang Li, Xinxing Xu, Rick Siow Mong Goh, Yong Liu, Salman H. Khan, Chun-Mei Feng
2024MICCAIUrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling.Kai Yu, Yang Zhou, Yang Bai, Zhi Da Soh, Xinxing Xu, Rick Siow Mong Goh, Ching-Yu Cheng, Yong Liu
2024MICCAIMedMLP: An Efficient MLP-Like Network for Zero-Shot Retinal Image Classification.Menghan Zhou, Yanyu Xu, Zhi Da Soh, Huazhu Fu, Rick Siow Mong Goh, Ching-Yu Cheng, Yong Liu, Liangli Zhen
2024NAACLEnd-to-End Beam Retrieval for Multi-Hop Question Answering.Jiahao Zhang, Haiyang Zhang, Dongmei Zhang, Yong Liu, Shen Huang
2024QRSEnhancing Programming Competition Performance: A Data-Driven Approach to Personalized Training.Bin Du, Jize Yang, Shumei Wu, Zhanwen Zhang, Yong Liu
2024QRSEmpirical Evaluation of Large Language Models for Novice Program Fault Localization.Yangtao Liu, Hengyuan Liu, Zezhong Yang, Zheng Li, Yong Liu
2024QRSPredictive Mutation-Based Fault Localization: Balancing Effectiveness and Cost.Shunqing Xu, Shumei Wu, Zheng Li, Luxi Fan, Yong Liu
2024VTCOn the Adaptive Secure Coded Caching Scheme in Vehicle Networks.Ziping Huang, Lei Zheng, Yong Liu, Juanjuan Ren, Qingchun Chen
2024SIGGRAPHRTG-SLAM: Real-time 3D Reconstruction at Scale using Gaussian Splatting.Zhexi Peng, Tianjia Shao, Yong Liu, Jingke Zhou, Yin Yang, Jingdong Wang, Kun Zhou
2024WCNCFreshness-Aware Resource Allocation for Non-Orthogonal Wireless-Powered IoT Networks.Yunfeng Chen, Yong Liu, Jinhao Xiao, Qunying Wu, Han Zhang, Fen Hou
2024WCNCThroughput Maximization for Movable Antenna and IRS Enhanced Wireless Powered IoT Networks.Jinhao Xiao, Yong Liu, Yunfeng Chen, Xianda Wu, Fen Hou
2024WWWEfficient Noise-Decoupling for Multi-Behavior Sequential Recommendation.Yongqiang Han, Hao Wang, Kefan Wang, Likang Wu, Zhi Li, Wei Guo, Yong Liu, Defu Lian, Enhong Chen
2024WWWThe 2nd Workshop on Recommendation with Generative Models.Wenjie Wang, Yang Zhang, Xinyu Lin, Fuli Feng, Weiwen Liu, Yong Liu, Xiangyu Zhao, Wayne Xin Zhao, Yang Song, Xiangnan He
2024WWWHelen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue Regularization.Zirui Zhu, Yong Liu, Zangwei Zheng, Huifeng Guo, Yang You
2024SIGIRIdmGAE: Importance-Inspired Dynamic Masking for Graph Autoencoders.Ge Chen, Yulan Hu, Sheng Ouyang, Zhirui Yang, Yong Liu, Cuicui Luo
2024VCIPFully Aligned Network for Referring Image Segmentation.Yong Liu, Ruihao Xu, Yansong Tang
2024WSDMUser Behavior Enriched Temporal Knowledge Graphs for Sequential Recommendation.Hengchang Hu, Wei Guo, Xu Liu, Yong Liu, Ruiming Tang, Rui Zhang, Min-Yen Kan
2023AAAIAdaCM: Adaptive ColorMLP for Real-Time Universal Photo-Realistic Style Transfer.Tianwei Lin, Honglin Lin, Fu Li, Dongliang He, Wenhao Wu, Meiling Wang, Xin Li, Yong Liu
2023AAAIUnderstanding the Generalization Performance of Spectral Clustering Algorithms.Shaojie Li, Sheng Ouyang, Yong Liu
2023AAAIMHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series.Qianwen Meng, Hangwei Qian, Yong Liu, Lizhen Cui, Yonghui Xu, Zhiqi Shen
2023AAAIRevisiting Item Promotion in GNN-Based Collaborative Filtering: A Masked Targeted Topological Attack Perspective.Yongwei Wang, Yong Liu, Zhiqi Shen
2023AAAIRevisiting the Spatial and Temporal Modeling for Few-Shot Action Recognition.Jiazheng Xing, Mengmeng Wang, Yong Liu, Boyu Mu
2023AAAINext POI Recommendation with Dynamic Graph and Explicit Dependency.Feiyu Yin, Yong Liu, Zhiqi Shen, Lisi Chen, Shuo Shang, Peng Han
2023ACMLDecouple then Combine: A Simple and Effective Framework for Fraud Transaction Detection.Pengwei Tang, Huayi Tang, Wenhan Wang, Hanjing Su, Yong Liu
2023ACNSA Novel Automatic Technique Based on MILP to Search for Impossible Differentials.Yong Liu, Zejun Xiang, Siwei Chen, Shasha Zhang, Xiangyong Zeng
2023CIKMContrastive Learning for Rumor Detection via Fitting Beta Mixture Model.Jiachen Ma, Jing Dai, Yong Liu, Meng Han, Chunyu Ai
2023CIKMDFFM: Domain Facilitated Feature Modeling for CTR Prediction.Wei Guo, Chenxu Zhu, Fan Yan, Bo Chen, Weiwen Liu, Huifeng Guo, Hongkun Zheng, Yong Liu, Ruiming Tang
2023CIKMAdaptive Multi-Modalities Fusion in Sequential Recommendation Systems.Hengchang Hu, Wei Guo, Yong Liu, Min-Yen Kan
2023CIKMGraph Contrastive Learning with Graph Info-Min.En Meng, Yong Liu
2023CIKMNetwork Embedding with Adaptive Multi-hop Contrast.Chenhao Wang, Yong Liu, Yan Yang
2023CIKMThe 1st Workshop on Recommendation with Generative Models.Wenjie Wang, Yong Liu, Yang Zhang, Weiwen Liu, Fuli Feng, Xiangnan He, Aixin Sun
2023CIKMAPGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation.Mingjia Yin, Hao Wang, Xiang Xu, Likang Wu, Sirui Zhao, Wei Guo, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen
2023COMPSACImproving Fault Localization by Complex-Fault Oriented Higher-Order Mutant Generation.Zexing Chang, Yong Liu, Shumei Wu, Paul Doyle, Haifeng Wang, Xiang Chen
2023COMPSACSGS: Mutant Reduction for Higher-order Mutation-based Fault Localization.Luxi Fan, Zheng Li, Hengyuan Liu, Paul Doyle, Haifeng Wang, Xiang Chen, Yong Liu
2023COMPSACIdentifying Coincidental Correct Test Cases with Multiple Features Extraction for Fault Localization.Yonghao Wu, Shuaihua Tian, Zezhong Yang, Zheng Li, Yong Liu, Xiang Chen
2023CoRLTraCo: Learning Virtual Traffic Coordinator for Cooperation with Multi-Agent Reinforcement Learning.Weiwei Liu, Wei Jing, Lingping Gao, Ke Guo, Gang Xu, Yong Liu
2023CVPRBetter "CMOS" Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image Super-Resolution.Xuhai Chen, Jiangning Zhang, Chao Xu, Yabiao Wang, Chengjie Wang, Yong Liu
2023CVPRLearning Federated Visual Prompt in Null Space for MRI Reconstruction.Chun-Mei Feng, Bangjun Li, Xinxing Xu, Yong Liu, Huazhu Fu, Wangmeng Zuo
2023CVPRAdaptive Assignment for Geometry Aware Local Feature Matching.Dihe Huang, Ying Chen, Yong Liu, Jianlin Liu, Shang Xu, Wenlong Wu, Yikang Ding, Fan Tang, Chengjie Wang
2023CVPRLearning to Measure the Point Cloud Reconstruction Loss in a Representation Space.Tianxin Huang, Zhonggan Ding, Jiangning Zhang, Ying Tai, Zhenyu Zhang, Mingang Chen, Chengjie Wang, Yong Liu
2023CVPRFair Scratch Tickets: Finding Fair Sparse Networks without Weight Training.Pengwei Tang, Wei Yao, Zhicong Li, Yong Liu
2023CVPRCorrelation Pyramid Network for 3D Single Object Tracking.Mengmeng Wang, Teli Ma, Xingxing Zuo, Jiajun Lv, Yong Liu
2023CVPRRIFormer: Keep Your Vision Backbone Effective But Removing Token Mixer.Jiahao Wang, Songyang Zhang, Yong Liu, Taiqiang Wu, Yujiu Yang, Xihui Liu, Kai Chen, Ping Luo, Dahua Lin
2023CVPRHigh-Fidelity Generalized Emotional Talking Face Generation with Multi-Modal Emotion Space Learning.Chao Xu, Junwei Zhu, Jiangning Zhang, Yue Han, Wenqing Chu, Ying Tai, Chengjie Wang, Zhifeng Xie, Yong Liu
2023CVPRHOTNAS: Hierarchical Optimal Transport for Neural Architecture Search.Jiechao Yang, Yong Liu, Hongteng Xu
2023ECAIHigh Probability Analysis for Non-Convex Stochastic Optimization with Clipping.Shaojie Li, Yong Liu
2023ESORICSCurveball+: Exploring Curveball-Like Vulnerabilities of Implicit Certificate Validation.Yajun Teng, Wei Wang, Jun Shao, Huiqing Wan, Heqing Huang, Yong Liu, Jingqiang Lin
2023GLOBECOMDRL-TAL: Deep Reinforcement Learning-Based Traffic-Aware Load Balancing in Data Center Networks.Guoyong Jiang, Wenting Wei, Kun Wang, Chengding Pang, Yong Liu
2023ICCSData Heterogeneity Differential Privacy: From Theory to Algorithm.Yilin Kang, Jian Li, Yong Liu, Weiping Wang
2023ICCVUnified Data-Free Compression: Pruning and Quantization without Fine-Tuning.Shipeng Bai, Jun Chen, Xintian Shen, Yixuan Qian, Yong Liu
2023ICCVDiverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning.Chun-Mei Feng, Kai Yu, Yong Liu, Salman Khan, Wangmeng Zuo
2023ICCVGlobal Knowledge Calibration for Fast Open-Vocabulary Segmentation.Kunyang Han, Yong Liu, Jun Hao Liew, Henghui Ding, Jiajun Liu, Yitong Wang, Yansong Tang, Yujiu Yang, Jiashi Feng, Yao Zhao, Yunchao Wei
2023ICCVRICO: Regularizing the Unobservable for Indoor Compositional Reconstruction.Zizhang Li, Xiaoyang Lyu, Yuanyuan Ding, Mengmeng Wang, Yiyi Liao, Yong Liu
2023ICCVSynchronize Feature Extracting and Matching: A Single Branch Framework for 3D Object Tracking.Teli Ma, Mengmeng Wang, Jimin Xiao, Huifeng Wu, Yong Liu
2023ICCVLearning Global-aware Kernel for Image Harmonization.Xintian Shen, Jiangning Zhang, Jun Chen, Shipeng Bai, Yue Han, Yabiao Wang, Chengjie Wang, Yong Liu
2023ICCVBoosting Few-shot Action Recognition with Graph-guided Hybrid Matching.Jiazheng Xing, Mengmeng Wang, Yudi Ruan, Bofan Chen, Yaowei Guo, Boyu Mu, Guang Dai, Jingdong Wang, Yong Liu
2023ICCVGenerative Gradient Inversion via Over-Parameterized Networks in Federated Learning.Chi Zhang, Xiaoman Zhang, Ekanut Sotthiwat, Yanyu Xu, Ping Liu, Liangli Zhen, Yong Liu
2023ICDECross-Domain Disentangled Learning for E-Commerce Live Streaming Recommendation.Yixin Zhang, Yong Liu, Hao Xiong, Yi Liu, Fuqiang Yu, Wei He, Yonghui Xu, Lizhen Cui, Chunyan Miao
2023ICDEDelivery Time Prediction Using Large-Scale Graph Structure Learning Based on Quantile Regression.Lei Zhang, Xin Zhou, Zhiwei Zeng, Yiming Cao, Yonghui Xu, Mingliang Wang, Xingyu Wu, Yong Liu, Lizhen Cui, Zhiqi Shen
2023ICDELayer-refined Graph Convolutional Networks for Recommendation.Xin Zhou, Donghui Lin, Yong Liu, Chunyan Miao
2023ICLRGeneralization Bounds for Federated Learning: Fast Rates, Unparticipating Clients and Unbounded Losses.Xiaolin Hu, Shaojie Li, Yong Liu
2023ICLRTimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis.Haixu Wu, Tengge Hu, Yong Liu, Hang Zhou, Jianmin Wang, Mingsheng Long
2023ICMLConsistency of Multiple Kernel Clustering.Weixuan Liang, Xinwang Liu, Yong Liu, Chuan Ma, Yunping Zhao, Zhe Liu, En Zhu
2023ICMLDistribution-dependent McDiarmid-type Inequalities for Functions of Unbounded Interaction.Shaojie Li, Yong Liu
2023ICMLOptimal Convergence Rates for Agnostic Nystrm Kernel Learning.Jian Li, Yong Liu, Weiping Wang
2023ICMLTowards Understanding Generalization of Graph Neural Networks.Huayi Tang, Yong Liu
2023ICNPWelcome Message from the ICNP 2023 TPC Chairs.Kate Lin, Yong Liu
2023IJCAITowards Sharp Analysis for Distributed Learning with Random Features.Jian Li, Yong Liu
2023ICPRAMOCR Text Sorting Based on Multimodal and Graph Neural Network for Rich Text Image.Zhiyuan Zhao, Shan Huang, Yong Liu
2023ICRAA Unified BEV Model for Joint Learning of 3D Local Features and Overlap Estimation.Lin Li, Wendong Ding, Yongkun Wen, Yufei Liang, Yong Liu, Guowei Wan
2023ICRANeRF-Loc: Visual Localization with Conditional Neural Radiance Field.Jianlin Liu, Qiang Nie, Yong Liu, Chengjie Wang
2023ICRARoLM: Radar on LiDAR Map Localization.Yukai Ma, Xiangrui Zhao, Han Li, Yaqing Gu, Xiaolei Lang, Yong Liu
2023IROSVDBblox: Accurate and Efficient Distance Fields for Path Planning and Mesh Reconstruction.Yinlong Bai, Zhiqiang Miao, Xiangke Wang, Yong Liu, Hesheng Wang, Yaonan Wang
2023IROSLiDAR-Inertial SLAM with Efficiently Extracted Planes.Chao Chen, Hangyu Wu, Yukai Ma, Jiajun Lv, Laijian Li, Yong Liu
2023IROSPANet: LiDAR Panoptic Segmentation with Sparse Instance Proposal and Aggregation.Jianbiao Mei, Yu Yang, Mengmeng Wang, Xiaojun Hou, Laijian Li, Yong Liu
2023IROSSSC-RS: Elevate LiDAR Semantic Scene Completion with Representation Separation and BEV Fusion.Jianbiao Mei, Yu Yang, Mengmeng Wang, Tianxin Huang, Xuemeng Yang, Yong Liu
2023IROSLarge Scale Pursuit-Evasion Under Collision Avoidance Using Deep Reinforcement Learning.Helei Yang, Peng Ge, Junjie Cao, Yifan Yang, Yong Liu
2023IROSSelf-Supervised Event-Based Monocular Depth Estimation Using Cross-Modal Consistency.Junyu Zhu, Lina Liu, Bofeng Jiang, Feng Wen, Hongbo Zhang, Wanlong Li, Yong Liu
2023ICRAShunted Collision Avoidance for Multi-UAV Motion Planning with Posture Constraints.Gang Xu, Deye Zhu, Junjie Cao, Yong Liu, Jian Yang
2023ICRAFG-Depth: Flow-Guided Unsupervised Monocular Depth Estimation.Junyu Zhu, Lina Liu, Yong Liu, Wanlong Li, Feng Wen, Hongbo Zhang
2023ISCCTAMCQF: Hybrid Traffic Scheduling Mechanism Integrating TAS and Multi-CQF in TSN.Hongrui Nie, Shaosheng Li, Yong Liu
2023MICCAIMedical Phrase Grounding with Region-Phrase Context Contrastive Alignment.Zhihao Chen, Yang Zhou, Anh Tran, Junting Zhao, Liang Wan, Gideon Ooi, Lionel Tim-Ee Cheng, Choon Hua Thng, Xinxing Xu, Yong Liu, Huazhu Fu
2023MICCAICategory-Independent Visual Explanation for Medical Deep Network Understanding.Yiming Qian, Liangzhi Li, Huazhu Fu, Meng Wang, Qingsheng Peng, Yih Chung Tham, Ching Yu Cheng, Yong Liu, Rick Siow Mong Goh, Xinxing Xu
2023MICCAIFederated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging.Meng Wang, Lianyu Wang, Xinxing Xu, Ke Zou, Yiming Qian, Rick Siow Mong Goh, Yong Liu, Huazhu Fu
2023MICCAIMinimal-Supervised Medical Image Segmentation via Vector Quantization Memory.Yanyu Xu, Menghan Zhou, Yangqin Feng, Xinxing Xu, Huazhu Fu, Rick Siow Mong Goh, Yong Liu
2023MICCAILearning with Domain-Knowledge for Generalizable Prediction of Alzheimer's Disease from Multi-site Structural MRI.Yanjie Zhou, Youhao Li, Feng Zhou, Yong Liu, Liyun Tu
2023MMMSafe Contrastive Clustering.Pengwei Tang, Huayi Tang, Wei Wang, Yong Liu
2023PAKDDA Graph Contrastive Learning Framework with Adaptive Augmentation and Encoding for Unaligned Views.Yifu Guo, Yong Liu
2023PPoPPLifetime-Based Optimization for Simulating Quantum Circuits on a New Sunway Supercomputer.Yaojian Chen, Yong Liu, Xinmin Shi, Jiawei Song, Xin Liu, Lin Gan, Chu Guo, Haohuan Fu, Jie Gao, Dexun Chen, Guangwen Yang
2023RecSysRecSys Challenge 2023 Dataset: Ads Recommendations in Online Advertising.Rahul Agrawal, Sarang Brahme, Sourav Maitra, Abhishek Srivastava, Athirai A. Irissappane, Yong Liu, Saikishore Kalloori
2023RecSysRecSys Challenge 2023: Deep Funnel Optimization with a Focus on User Privacy.Rahul Agrawal, Sarang Brahme, Sourav Maitra, Saikishore Kalloori, Abhishek Srivastava, Yong Liu, Athirai A. Irissappane
2023RecSysUser Behavior Modeling with Deep Learning for Recommendation: Recent Advances.Weiwen Liu, Wei Guo, Yong Liu, Ruiming Tang, Hao Wang
2023WWWBootstrap Latent Representations for Multi-modal Recommendation.Xin Zhou, Hongyu Zhou, Yong Liu, Zhiwei Zeng, Chunyan Miao, Pengwei Wang, Yuan You, Feijun Jiang
2023WSDMWSDM 2023 Workshop on Interactive Recommender Systems.Yong Liu, Hao Zhang, Zhu Sun, Shoujin Wang, Jie Zhang
2023WSDMAutoML for Deep Recommender Systems: Fundamentals and Advances.Ruiming Tang, Bo Chen, Yejing Wang, Huifeng Guo, Yong Liu, Wenqi Fan, Xiangyu Zhao
2023WSDMInductive Graph Transformer for Delivery Time Estimation.Xin Zhou, Jinglong Wang, Yong Liu, Xingyu Wu, Zhiqi Shen, Cyril Leung
2022AAAIDistributed Randomized Sketching Kernel Learning.Rong Yin, Yong Liu, Dan Meng
2022AAAIGuide Local Feature Matching by Overlap Estimation.Ying Chen, Dihe Huang, Shang Xu, Jianlin Liu, Yong Liu