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Jun Zhou

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

535

Venues

71

Active years

2021–2026

Best venue rank

A*

Where they publish

Papers

Showing the 300 most recent indexed papers.

YearVenueTitleAuthors
2026AAAIAuto-PRE: An Automatic and Cost-Efficient Peer-Review Framework for Language Generation Evaluation.Junjie Chen, Weihang Su, Zhumin Chu, Haitao Li, Yujia Zhou, Dingbo Yuan, Xudong Wang, Jun Zhou, Yiqun Liu, Min Zhang, Shaoping Ma, Qingyao Ai
2026AAAIThinker: Training LLMs in Hierarchical Thinking for Deep Search via Multi-Turn Interaction.Jun Xu, Xinkai Du, Yu Ao, Peilong Zhao, Yang Li, Ling Zhong, Lin Yuan, Zhongpu Bo, Xiaorui Wang, Mengshu Sun, Zhengke Gui, Dalong Zhang, ZhaoYang Wang, Qiwei Wang, Yangyang Hou, ZhiYing Yi, Haofen Wang, Huajun Chen, Lei Liang, Jun Zhou
2026AAAIZo3T: Zero-Shot 3D-Aware Trajectory-Guided Image-to-Video Generation via Test-Time Training.Ruicheng Zhang, Jun Zhou, Zunnan Xu, Zihao Liu, Jiehui Huang, Mingyang Zhang, Yu Sun, Xiu Li
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
2026AAAIVPHO: Joint Visual-Physical Cue Learning and Aggregation for Hand-Object Pose Estimation.Jun Zhou, Chi Xu, Kaifeng Tang, Yuting Ge, Tingrui Guo, Li Cheng
2026ACLLearning to Translate by Translating: Stabilizing the Dual Loop via Semantic-Aware Self-Evolution.Kui Liu, Mingming Yin, Zuoli Tang, Zihao Li, Chilin Fu, Xiaolu Zhang, Jun Zhou, Lixin Zou, Chenliang Li
2026ACLSepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs.Jie Sun, Yu Liu, Lu Han, Qiwen Deng, Xiang Shu, Yang Xiao, Lintao Ma, Xingyu Lu, Jun Zhou, Pengfei Liu, Jiancan Wu, Xiang Wang
2026ACLRethinking Sample Polarity in Reinforcement Learning with Verifiable Rewards.Xinyu Tang, Yuliang Zhan, Zhixun Li, Xin Zhao, Zhenduo Zhang, Zujie Wen, Zhiqiang Zhang, Jun Zhou
2026ACLTraining-Free Adaptive Speculative Decoding via Linguistic Priors.Jingyi Wang, Jiaqi Huang, Zunnan Xu, Jun Zhou, Kehong Yuan, Xiang Qian
2026ACLImproving Autoformalization Using Direct Dependency Retrieval.Shaoqi Wang, Lu Yu, Siwei Lou, Feng Yan, Chunjie Yang, Qing Cui, Jun Zhou
2026ACLUniGeM: Unifying Data Selection and Mixing via Geometric Exploration and Mining.Changhao Wang, Yunfei Yu, Xinhao Yao, Jiaolong Yang, Lu Yu, Junpeng Fang, Riccardo Cantoro, Chaobo Li, Qing Cui, Jun Zhou
2026ACLUnderstanding Conflicts in Multi-Objective Alignment through Reward Consistency.Zhihao Xu, Yongqi Tong, Xin Zhang, Jun Zhou, Xiting Wang
2026ACLReportLogic: Evaluating Logical Quality in Deep Research Reports.Jujia Zhao, Zhaoxin Huan, Zihan Wang, Xiaolu Zhang, Jun Zhou, Suzan Verberne, Zhaochun Ren
2026ACLLLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models.Fengqi Zhu, Rongzhen Wang, Shen Nie, Xiaolu Zhang, Chunwei Wu, Jun Zhou, Yankai Lin, Ji-Rong Wen, Chongxuan Li
2026EACLRV-Syn: Rational and Verifiable Mathematical Reasoning Data Synthesis based on Structured Function Library.Jiapeng Wang, Jinhao Jiang, Zhiqiang Zhang, Jun Zhou, Xin Zhao
2026HCIEffects of Autonomous Vehicles' Driving Styles and Aberrant Driving Behaviors on Users' Trust, Experience, and Attribution.Hanjing Huang, Jun Zhou
2026ISCASAn Area-Efficient Neural Stimulator Chip Achieving 23V Voltage Compliance by 180nm BCD CMOS process.Zherui Li, Cheng Han, Qijing Xiao, Weixiao Wang, Yunshan Zhang, Jun Zhou, Bo Zhao
2026ISCASTSA-P: A Triple-Sparsity-Aware Reconfigurable Few-Spikes-Neuron-Based SNN Processor.Lin Tang, Aoyu Shen, Ruixin Mao, Bo Zhao, Jun Zhou
2026ISCASERSRP: A 55nm 46.28 MPixels/(s·mmGaoxiang Wu, Liang Chang, Jingke Wang, Jiahao Zeng, Zhicheng Hu, Xin Zhao, Liang Zhou, Fengbin Tu, Jun Zhou
2026ISCASIDEA: A Real-Time Unified Accelerator for Dual-Task Image Restoration: Dehazing and Illumination Enhancement.Gaoxiang Wu, Jingke Wang, Liang Chang, Sichen Liu, Jiahao Zeng, Liang Zhou, Jun Zhou
2026KDDMerchant Category Identification in Weixin Pay.Aochuan Chen, Haihong Zhao, Simin Huang, Xuan Zong, Jun Zhou, Jia Li
2026WWWToken-level Collaborative Alignment for LLM-based Generative Recommendation.Fake Lin, Binbin Hu, Zhi Zheng, Xi Zhu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Tong Xu
2026WWWFrom Entity Reliability to Clean Feedback: An Entity-Aware Denoising Framework Beyond Interaction-Level Signals.Ze Liu, Xianquan Wang, Shuochen Liu, Jie Ma, Huibo Xu, Yupeng Han, Kai Zhang, Jun Zhou
2026WWWTaming the Long Tail: Efficient Item-wise Sharpness-Aware Minimization for LLM-based Recommender Systems.Jiaming Zhang, Yuyuan Li, Xiaohua Feng, Li Zhang, Longfei Li, Jun Zhou, Chaochao Chen
2026SIGCOMMGeoOrchestra: Orchestrating Heterogeneous Geo-Distributed Training with Network-Aware Scheduling.Ting Liu, Qinghua Wu, Jun Zhou, Yuan Sun, Jingbin Yang, Jinglei Pei, Chen Zhang, Heng Pan, Zhenyu Li, Yunjie Liu
2026WSDMLookAhead Tuning: Safer Language Models via Partial Answer Previews.Kangwei Liu, Mengru Wang, Yujie Luo, Lin Yuan, Mengshu Sun, Lei Liang, Zhiqiang Zhang, Jun Zhou, Bryan Hooi, Shumin Deng
2025AAAILearning Causal Transition Matrix for Instance-dependent Label Noise.Jiahui Li, Tai-Wei Chang, Kun Kuang, Ximing Li, Long Chen, Jun Zhou
2025AAAIHeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multi-task Learning.Rong Han, Wenbing Huang, Lingxiao Luo, Xinyan Han, Jiaming Shen, Zhiqiang Zhang, Jun Zhou, Ting Chen
2025AAAIExplore What LLM Does Not Know in Complex Question Answering.Xin Lin, Zhenya Huang, Zhiqiang Zhang, Jun Zhou, Enhong Chen
2025AAAIMaking Large Vision Language Models to Be Good Few-Shot Learners.Fan Liu, Wenwen Cai, Jian Huo, Chuanyi Zhang, Delong Chen, Jun Zhou
2025AAAICREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics.Ruixin Mao, Aoyu Shen, Lin Tang, Jun Zhou
2025AAAIImproving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis.Lin Yuan, Jun Xu, Honghao Gui, Mengshu Sun, Zhiqiang Zhang, Lei Liang, Jun Zhou
2025ACLRefining Sentence Embedding Model through Ranking Sentences Generation with Large Language Models.Liyang He, Chenglong Liu, Rui Li, Zhenya Huang, Shulan Ruan, Jun Zhou, Enhong Chen
2025ACLBOSE: A Systematic Evaluation Method Optimized for Base Models.Hongzhi Luan, Changxin Tian, Zhaoxin Huan, Xiaolu Zhang, Kunlong Chen, Zhiqiang Zhang, Jun Zhou
2025ACLRobust Preference Optimization via Dynamic Target Margins.Jie Sun, Junkang Wu, Jiancan Wu, Zhibo Zhu, Xingyu Lu, Jun Zhou, Lintao Ma, Xiang Wang
2025ACLShieldHead: Decoding-time Safeguard for Large Language Models.Zitao Xuan, Xiaofeng Mao, Da Chen, Xin Zhang, Yuhan Dong, Jun Zhou
2025ACLLSSF: Safety Alignment for Large Language Models through Low-Rank Safety Subspace Fusion.Guanghao Zhou, Panjia Qiu, Cen Chen, Hongyu Li, Jason Chu, Xin Zhang, Jun Zhou
2025CIKMArrows of Math Reasoning Data Synthesis for Large Language Models: Diversity, Complexity and Correctness.Sirui Chen, Changxin Tian, Binbin Hu, Kunlong Chen, Ziqi Liu, Zhiqiang Zhang, Jun Zhou
2025CSCWDFrom External Similarity to Internal Consistency: An Enhanced Retrieval-Based Method for LLMs' Reliable Content Generation.Wenbo Guan, Hangchen Liu, Xiaoqian Li, Jun Zhou, Yonghong Yan
2025CVPRInsTaG: Learning Personalized 3D Talking Head from Few-Second Video.Jiahe Li, Jiawei Zhang, Xiao Bai, Jin Zheng, Jun Zhou, Lin Gu
2025CVPRSATA: Spatial Autocorrelation Token Analysis for Enhancing the Robustness of Vision Transformers.Nick Nikzad, Yi Liao, Yongsheng Gao, Jun Zhou
2025CVPRHunyuanPortrait: Implicit Condition Control for Enhanced Portrait Animation.Zunnan Xu, Zhentao Yu, Zixiang Zhou, Jun Zhou, Xiaoyu Jin, Fa-Ting Hong, Xiaozhong Ji, Junwei Zhu, Chengfei Cai, Shiyu Tang, Qin Lin, Xiu Li, Qinglin Lu
2025CVPRFireEdit: Fine-grained Instruction-based Image Editing via Region-aware Vision Language Model.Jun Zhou, Jiahao Li, Zunnan Xu, Hanhui Li, Yiji Cheng, Fa-Ting Hong, Qin Lin, Qinglin Lu, Xiaodan Liang
2025DACBlockPIM: Optimizing Memory Management for PIM-enabled Long-Context LLM Inference.Zhichun Li, Jun Zhou, Xueqi Li, Ninghui Sun
2025DASFAAContrastive Scenario-Aware Meta Prompting for Multi-scenario Recommendation.Ang Li, Jian Hu, Ke Ding, Xiaolu Zhang, Jun Zhou, Yong He
2025EMNLPRED: Unleashing Token-Level Rewards from Holistic Feedback via Reward Redistribution.Jiahui Li, Lin Li, Tai-Wei Chang, Kun Kuang, Long Chen, Jun Zhou, Cheng Yang
2025EMNLPEmbedding Domain Knowledge for Large Language Models via Reinforcement Learning from Augmented Generation.Chaojun Nie, Jun Zhou, Guanxiang Wang, Shisong Wu, Zichen Wang
2025EMNLPUnderstanding and Mitigating Overrefusal in LLMs from an Unveiling Perspective of Safety Decision Boundary.Licheng Pan, Yongqi Tong, Xin Zhang, Xiaolu Zhang, Jun Zhou, Zhixuan Chu
2025EMNLPLaMP-Val: Large Language Models Empower Personalized Valuation in Auction.Jie Sun, Tianyu Zhang, Houcheng Jiang, Kexin Huang, Xiang Shu, Zhibo Zhu, Lintao Ma, Xingyu Lu, Jun Zhou, Junkang Wu, Chi Luo, An Zhang, Jiancan Wu, Xiang Wang
2025ICASSPClass-Difficulty Aware Hybrid Active Learning.Yaling Ge, Xun Pu, Jun Zhou
2025ICASSPDual-Modality Guided Artistic Style Transfer with Pre-trained Diffusion Models.Jiaxiong Liu, Xiaolong Xiong, Jun Zhou
2025ICASSPPrompting DirectSAM for Semantic Contour Extraction in Remote Sensing Images.Shiyu Miao, Delong Chen, Fan Liu, Chuanyi Zhang, Yanhui Gu, Shengjie Guo, Jun Zhou
2025ICASSPSpatially-variant Blur Degradation Model Based on Depth Estimation.Rui Xie, Shuzhan Guo, Li Zou, Jiaxiong Liu, Qian Wang, Jun Zhou
2025ICASSPRemoteTrimmer: Adaptive Structural Pruning for Remote Sensing Image Classification.Guangwenjie Zou, Liang Yao, Fan Liu, Chuanyi Zhang, Xin Li, Ning Chen, Shengxiang Xu, Jun Zhou
2025ICCVAudio-Visual Controlled Video Diffusion with Masked Selective State Spaces Modeling for Natural Talking Head Generation.Fa-Ting Hong, Zunnan Xu, Zixiang Zhou, Jun Zhou, Xiu Li, Qin Lin, Qinglin Lu, Dan Xu
2025ICCVNATRA: Noise-Agnostic Framework for Trajectory Prediction with Noisy Observations.Rongqing Li, Changsheng Li, Ruilin Lv, Yuhang Li, Yang Gao, Xiaolu Zhang, Jun Zhou
2025ICCVStar: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution.Rui Xie, Yinhong Liu, Penghao Zhou, Chen Zhao, Jun Zhou, Kai Zhang, Zhenyu Zhang, Jian Yang, Zhenheng Yang, Ying Tai
2025ICDEEffectively PAIRing LLMs with Online Marketing via Progressive Prompting Augmentation.Chunjing Gan, Dan Yang, Binbin Hu, Ziqi Liu, Yue Shen, Zhiqiang Zhang, Jinjie Gu, Jun Zhou, Guannan Zhang
2025ICDMFine-Grained Zero-Shot Composed Image Retrieval with Complementary Visual-Semantic Integration.Yongcong Ye, Kai Zhang, Yanghai Zhang, Enhong Chen, Longfei Li, Jun Zhou
2025ICIGVideo Stabilization Based on MeshFlow Motion Model in Dynamic and Complex Scenes.Jun Liu, Hao Ning, Jing Huang, Yingjie Xia, Qun Xie, Jun Zhou, Jinping Li
2025ICLRControllable Unlearning for Image-to-Image Generative Models via ϵ-Constrained Optimization.Xiaohua Feng, Yuyuan Li, Chaochao Chen, Li Zhang, Longfei Li, Jun Zhou, Xiaolin Zheng
2025ICLRUnlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning.Gangwei Jiang, Caigao Jiang, Zhaoyi Li, Siqiao Xue, Jun Zhou, Linqi Song, Defu Lian, Ying Wei
2025ICLRLLMOPT: Learning to Define and Solve General Optimization Problems from Scratch.Caigao Jiang, Xiang Shu, Hong Qian, Xingyu Lu, Jun Zhou, Aimin Zhou, Yang Yu
2025ICMLMASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models.Jiazheng Li, Lu Yu, Qing Cui, Zhiqiang Zhang, Jun Zhou, Yanfang Ye, Chuxu Zhang
2025ICMLEffective and Efficient Masked Image Generation Models.Zebin You, Jingyang Ou, Xiaolu Zhang, Jun Hu, Jun Zhou, Chongxuan Li
2025ICMLRethinking Causal Ranking: A Balanced Perspective on Uplift Model Evaluation.Minqin Zhu, Zexu Sun, Ruoxuan Xiong, Anpeng Wu, Baohong Li, Caizhi Tang, Jun Zhou, Fei Wu, Kun Kuang
2025IJCNNFederated Adaptive Contrastive Prototype Learning for Heterogeneous Settings on Large-scale Data.Tingting Leng, Man Zhao, Li Zou, Jun Zhou
2025IJCNNImproving Sentence Embeddings of Extractive Question Answering Based on Adversarial and Contrastive Learning.Xin Wei, Chuan Liu, Yang Yang, Jun Zhou
2025IROSTerraX: Visual Terrain Classification Enhanced by Vision-Language Models.Hongze Li, Xuchuan Huang, Xinhai Chang, Jun Zhou, Huijing Zhao
2025ISPECTraceable Multi-signature Scheme with Distributed Combiners and Lightweight Setup for Accountable Blockchain Transactions.Jingrui Wang, Jun Zhou, Zhenfu Cao, Xiaolei Dong
2025KDDAntAkso: Claims Management System for Health Insurance in Alipay.Qitao Shi, Jun Zhou, Ya-Lin Zhang, Longfei Li, Chaoyi Ma, Yifan Wu, Xiaobo Qin
2025KDDStable Representation Learning on Graphs from Multiple Environments with Structure Distribution Shift.Tong Zhao, Daixin Wang, Zhiqiang Zhang, Yulin Kang, Jun Zhou
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
2025PRICAIVim-F: Visual State Space Model Benefiting from Learning in the Frequency Domain.Juntao Zhang, Shaogeng Liu, Jun Zhou, Kun Bian, You Zhou, Jianning Liu, Pei Zhang, Bingyan Liu
2025VTCSpecific Emitter Identification Based on Background Information Fusion for Low SNR Environments.Yunhong He, Zhipeng Lin, Qiuming Zhu, Hongyu Li, Yang Huang, Qihui Wu, Tiejun Lv, Jun Zhou
2025SMCRe-parameterization Convolution Spiking Neural Network for Object DetectionJun Zhou, Ziliang Ren, Qieshi Zhang, Kadyrkulova Kyial Kudayberdievna, Taalaybekova Aizharkyn
2025WWWKAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation.Lei Liang, Zhongpu Bo, Zhengke Gui, Zhongshu Zhu, Ling Zhong, Peilong Zhao, Mengshu Sun, Zhiqiang Zhang, Jun Zhou, Wenguang Chen, Wen Zhang, Huajun Chen
2025WWWIceBerg: Debiased Self-Training for Class-Imbalanced Node Classification.Zhixun Li, Dingshuo Chen, Tong Zhao, Daixin Wang, Hongrui Liu, Zhiqiang Zhang, Jun Zhou, Jeffrey Xu Yu
2025WWWSurvFormer: A Transformer Based Framework for Survival Analysis in Insurance Underwriting.Yingxue Li, Xiaolu Zhang, Jun Hu, Wenwen Xia, Ziyi Liu, Xiaobo Qin, Binjie Fei, Jun Zhou
2025WWWOneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System.Yujie Luo, Xiangyuan Ru, Kangwei Liu, Lin Yuan, Mengshu Sun, Ningyu Zhang, Lei Liang, Zhiqiang Zhang, Jun Zhou, Lanning Wei, Da Zheng, Haofen Wang, Huajun Chen
2025WWWMAQInstruct: Instruction-based Unified Event Relation Extraction.Jun Xu, Mengshu Sun, Zhiqiang Zhang, Jun Zhou
2025WACVPixel-Wise Shuffling with Collaborative Sparsity for Melanoma Hyperspectral Image Classification.Favour Ekong, Jun Zhou, Kwabena Sarpong, Yongsheng Gao
2025TrustComAn Evolutionary Algorithm with Advanced Initial Solutions for Association Rules Hiding.Jiaran Qiu, Peng Cheng, Jun Zhou
2025WSDMGraph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data.Binbin Hu, Zhicheng An, Zhengwei Wu, Ke Tu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Yufei Feng, Jiawei Chen
2024AAAIBackdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations.Junpeng Fang, Gongduo Zhang, Qing Cui, Caizhi Tang, Lihong Gu, Longfei Li, Jinjie Gu, Jun Zhou
2024AAAIπ-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control.Yin Gu, Kai Zhang, Qi Liu, Weibo Gao, Longfei Li, Jun Zhou
2024AAAIMDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction.Hao Qian, Hongting Zhou, Qian Zhao, Hao Chen, Hongxiang Yao, Jingwei Wang, Ziqi Liu, Fei Yu, Zhiqiang Zhang, Jun Zhou
2024AAAIStructural Information Enhanced Graph Representation for Link Prediction.Lei Shi, Bin Hu, Deng Zhao, Jianshan He, Zhiqiang Zhang, Jun Zhou
2024AAAILLMRG: Improving Recommendations through Large Language Model Reasoning Graphs.Yan Wang, Zhixuan Chu, Xin Ouyang, Simeng Wang, Hongyan Hao, Yue Shen, Jinjie Gu, Siqiao Xue, James Zhang, Qing Cui, Longfei Li, Jun Zhou, Sheng Li
2024AAAIGMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting.Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, Siqiao Xue, James Y. Zhang, Jun Zhou, Hongyuan Mei, Weitao Lin, Zi Zhuang, Wenxin Ning, Yunhua Hu
2024ACCVM-RAT: a Multi-grained Retrieval Augmentation Transformer for Image Captioning.Jiayan Song, Renjie Pan, Jun Zhou, Hua Yang
2024ACISPAn Efficient Integer-Wise ReLU on TFHE.Yi Huang, Junping Wan, Zoe L. Jiang, Jun Zhou, Junbin Fang, Zhenfu Cao
2024ACLHarvesting Events from Multiple Sources: Towards a Cross-Document Event Extraction Paradigm.Qiang Gao, Zixiang Meng, Bobo Li, Jun Zhou, Fei Li, Chong Teng, Donghong Ji
2024CIKMMultiscale Representation Enhanced Temporal Flow Fusion Model for Long-Term Workload Forecasting.Shiyu Wang, Zhixuan Chu, Yinbo Sun, Yu Liu, Yuliang Guo, Yang Chen, Huiyang Jian, Lintao Ma, Xingyu Lu, Jun Zhou
2024CIKMFactor Model-Based Large Covariance Estimation from Streaming Data Using a Knowledge-Based Sketch Matrix.Xiao Tan, Zhaoyang Wang, Hao Qian, Jun Zhou, Peibo Duan, Dian Shen, Meng Wang, Beilun Wang
2024CIKMTEXT CAN BE FAIR: Mitigating Popularity Bias with PLMs by Learning Relative Preference.Zuoli Tang, Zhaoxin Huan, Zihao Li, Shirui Hu, Xiaolu Zhang, Jun Zhou, Lixin Zou, Chenliang Li
2024CIKMMulti-view Temporal Knowledge Graph Reasoning.Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Zhiqiang Zhang, Jun Zhou, Deqing Wang
2024COCOAAn Equally-Split Bin Packing Problem.Ding Zou, Jiayi Lian, Wei Lu, Yichao Duan, Xingyu Lu, Jun Zhou, Yuchen Mao, Guochuan Zhang
2024COLINGWhat Factors Influence LLMs' Judgments? A Case Study on Question Answering.Lei Chen, Bobo Li, Li Zheng, Haining Wang, Zixiang Meng, Runfeng Shi, Hao Fei, Jun Zhou, Fei Li, Chong Teng, Donghong Ji
2024COLINGEnhancing Cross-Document Event Coreference Resolution by Discourse Structure and Semantic Information.Qiang Gao, Bobo Li, Zixiang Meng, Yunlong Li, Jun Zhou, Fei Li, Chong Teng, Donghong Ji
2024COLINGChatUIE: Exploring Chat-based Unified Information Extraction Using Large Language Models.Jun Xu, Mengshu Sun, Zhiqiang Zhang, Jun Zhou
2024CVPRDNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization.Jiahe Li, Jiawei Zhang, Xiao Bai, Jin Zheng, Xin Ning, Jun Zhou, Lin Gu
2024CVPREfficient Model Stealing Defense with Noise Transition Matrix.Dong-Dong Wu, Chilin Fu, Weichang Wu, Wenwen Xia, Xiaolu Zhang, Jun Zhou, Min-Ling Zhang
2024CVPRFC-GNN: Recovering Reliable and Accurate Correspondences from Interferences.Haobo Xu, Jun Zhou, Hua Yang, Renjie Pan, Cunyan Li
2024DASFAAEmpowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness.Mingyue Cheng, Hao Zhang, Qi Liu, Fajie Yuan, Zhi Li, Zhenya Huang, Enhong Chen, Jun Zhou, Longfei Li
2024DASFAAQoMRC: Query-oriented Machine Reading Comprehension Framework for Aspect Sentiment Triplet Extraction.Kehang Wang, Ye Liu, Kai Zhang, Qi Liu, Yankun Ren, Xinxing Yang, Longfei Li, Jun Zhou
2024DASFAAGranola: Graph Neural Network Tackling Tabular Data for Online Loan Default Prediction.Borui Ye, Shuo Yang, Meiqi Zhu, Binbin Hu, Daixin Wang, Zhiqiang Zhang, Youqiang He, Zhiyang Hu, Huimei He, Jun Zhou
2024DASFAADistributed Meta-learning for Large-Scale Multi-institution Credit Default Risk Prediction.Yue Zhang, Xinxing Yang, Feng Zhu, Longfei Li, Linbo Jiang, Jun Zhou
2024DICTAA New Hyperspectral Unmixing Benchmark for Weak Signal Meat Contamination Detection.Zekun Long, Ali Zia, Jordi Nelis, Vivien Rolland, Jun Zhou
2024DICTAMulti-Branch Instance Segmentation of Cervical Cells.Yiran Shi, Xiaona Yang, Xuefeng Zhou, Jun Zhou, Bo Ding
2024DICTALinCNNFormer: Hybrid Linear Vision Transformer Based on Convolution Neural Network and Linear Attention.Edwin Kwadwo Tenagyei, Yongsheng Gao, Andrew Lewis, Nick Nikzad, Jun Zhou
2024ECCVTalkingGaussian: Structure-Persistent 3D Talking Head Synthesis via Gaussian Splatting.Jiahe Li, Jiawei Zhang, Xiao Bai, Jin Zheng, Xin Ning, Jun Zhou, Lin Gu
2024EMNLPOptimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning.Jiahui Li, Hanlin Zhang, Fengda Zhang, Tai-Wei Chang, Kun Kuang, Long Chen, Jun Zhou
2024EMNLPKnowledge-augmented Financial Market Analysis and Report Generation.Yuemin Chen, Feifan Wu, Jingwei Wang, Hao Qian, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Meng Wang
2024EMNLPLearning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs.Junjie Wang, Mingyang Chen, Binbin Hu, Dan Yang, Ziqi Liu, Yue Shen, Peng Wei, Zhiqiang Zhang, Jinjie Gu, Jun Zhou, Jeff Z. Pan, Wen Zhang, Huajun Chen
2024EMNLPOneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs.Jintian Zhang, Cheng Peng, Mengshu Sun, Xiang Chen, Lei Liang, Zhiqiang Zhang, Jun Zhou, Huajun Chen, Ningyu Zhang
2024HPCAStellar: Energy-Efficient and Low-Latency SNN Algorithm and Hardware Co-Design with Spatiotemporal Computation.Ruixin Mao, Lin Tang, Xingyu Yuan, Ye Liu, Jun Zhou
2024ICANNMake Audio Solely Drive Lip in Talking Face Video Synthesis.Xing Bai, Jun Zhou, Pengyuan Zhang, Ruipeng Hao
2024ICANNGenerative Sentiment Analysis via Latent Category Distribution and Constrained Decoding.Jun Zhou, Dongyang Yu, Kamran Aziz, Fangfang Su, Qing Zhang, Fei Li, Donghong Ji
2024ICASSPEnhancing Event Sequence Modeling with Contrastive Relational Inference.Yan Wang, Zhixuan Chu, Tao Zhou, Caigao Jiang, Hongyan Hao, Minjie Zhu, Xindong Cai, Qing Cui, Longfei Li, James Y. Zhang, Siqiao Xue, Jun Zhou
2024ICASSPLarge-Scale Multi-View Multiple Clustering.Xiaolong Xiong, Jinhan Cui, Rui Xie, Shuzhan Guo, Jun Zhou
2024ICDEAntDT: A Self-Adaptive Distributed Training Framework for Leader and Straggler Nodes.Youshao Xiao, Lin Ju, Zhenglei Zhou, Siyuan Li, Zhaoxin Huan, Dalong Zhang, Rujie Jiang, Lin Wang, Xiaolu Zhang, Lei Liang, Jun Zhou
2024ICIPBidfuse: Harnessing Bi-Directional Attention with Modality-Specific Encoders for Infrared-Visible Image Fusion.Wangzhi Xing, Diqi Chen, Mohammad Aminul Islam, Jun Zhou
2024ICLRTimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting.Shiyu Wang, Haixu Wu, Xiaoming Shi, Tengge Hu, Huakun Luo, Lintao Ma, James Y. Zhang, Jun Zhou
2024ICLREasyTPP: Towards Open Benchmarking Temporal Point Processes.Siqiao Xue, Xiaoming Shi, Zhixuan Chu, Yan Wang, Hongyan Hao, Fan Zhou, Caigao Jiang, Chen Pan, James Y. Zhang, Qingsong Wen, Jun Zhou, Hongyuan Mei
2024ICMLKeypoint-based Progressive Chain-of-Thought Distillation for LLMs.Kaituo Feng, Changsheng Li, Xiaolu Zhang, Jun Zhou, Ye Yuan, Guoren Wang
2024ICMLSelf-cognitive Denoising in the Presence of Multiple Noisy Label Sources.Yi-Xuan Sun, Ya-Lin Zhang, Bin Han, Longfei Li, Jun Zhou
2024ICMLUnifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations.Kaiwen Xue, Yuhao Zhou, Shen Nie, Xu Min, Xiaolu Zhang, Jun Zhou, Chongxuan Li
2024ICMLImproving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning.Yuelin Zhang, Jiacheng Cen, Jiaqi Han, Zhiqiang Zhang, Jun Zhou, Wenbing Huang
2024ICPREWenbo Guan, Xiaoqian Li, Jiyu Lu, Jun Zhou
2024IGARSSRobust Learning to Noisy Labels for Semantic Segmentation of Mangrove Communities in Remote Sensing Imagery.Mitsuyoshi Otsu, Jun Zhou
2024IGARSSSemantic-Aware Alignment Network for Cross-Resolution Change Detection.Yijun Zhang, Fengchao Xiong, Jianfeng Lu, Minchao Ye, Jun Zhou, Yuntao Qian
2024IJCNNAdvancing Urdu NLP: Aspect-Based Sentiment Analysis with Graph Attention Networks.Kamran Aziz, Donghong Ji, Bobo Li, Fei Li, Jun Zhou
2024IJCNNSemi-supervised Graph Anomaly Detection via Multi-view Contrastive Learning.Hengji Dong, Jing Zhao, Hongwei Yang, Hui He, Jun Zhou, Yunqing Feng, Yangyiye Jin, Rui Liu, Mengge Wang
2024INFOCOMCloudPlanner: Minimizing Upgrade Risk of Virtual Network Devices for Large-Scale Cloud Networks.Xin He, Enhuan Dong, Jiahai Yang, Shize Zhang, Zhiliang Wang, Zejie Wang, Ye Yang, Jun Zhou, Xiaoqing Sun, Enge Song, Jianyuan Lu, Biao Lyu, Shunmin Zhu
2024ISCASAn Ultra-Low Power Time-Domain based SNN Processor for ECG Classification.Haodong Fan, Liang Chang, Junlu Zhou, Xi Yang, Shuisheng Lin, Jun Zhou
2024ISCASAn FPGA-based Ultra-High Performance and Scalable Optical Flow Hardware Accelerator for Autonomous Driving.Ye Liu, Shuang Hao, Kun Huang, Minghui Yang, Zili Huang, Xiuyuan Qi, Yiting Li, Liang Zhou, Yu Long, Jun Zhou
2024ISCASA High-Performance ORB Accelerator with Algorithm and Hardware Co-design for Visual Localization.Xiuyuan Qi, Ye Liu, Shuang Hao, Zherong Liu, Kun Huang, Minghui Yang, Liang Zhou, Jun Zhou
2024ICWSGCPN: A Group Connected based Method for Continual Vertical Federated Recommender Systems in Data Ecosystems.Haochen Yuan, Xiang He, Ruihan Hu, Zhongjie Wang, Jun Zhou, Yunqing Feng, Lecheng Gong
2024ISSTAInterpretability Based Neural Network Repair.Zuohui Chen, Jun Zhou, Youcheng Sun, Jingyi Wang, Qi Xuan, Xiaoniu Yang
2024KDDLASCA: A Large-Scale Stable Customer Segmentation Approach to Credit Risk Assessment.Yongfeng Gu, Yupeng Wu, Huakang Lu, Xingyu Lu, Hong Qian, Jun Zhou, Aimin Zhou
2024KDDCost-Efficient Fraud Risk Optimization with Submodularity in Insurance Claim.Yupeng Wu, Zhibo Zhu, Chaoyi Ma, Hong Qian, Xingyu Lu, Yangwenhui Zhang, Xiaobo Qin, Binjie Fei, Jun Zhou, Aimin Zhou
2024MICCAIEpicardium Prompt-Guided Real-Time Cardiac Ultrasound Frame-to-Volume Registration.Long Lei, Jun Zhou, Jialun Pei, Baoliang Zhao, Yueming Jin, Jeremy Yuen-Chun Teoh, Jing Qin, Pheng-Ann Heng
2024PAKDDModeling Treatment Effect with Cross-Domain Data.Bin Han, Ya-Lin Zhang, Lu Yu, Biying Chen, Longfei Li, Jun Zhou
2024ProvSecCommunication-Efficient Secure Neural Network via Key-Reduced Distributed Comparison Function.Peng Yang, Zoe Lin Jiang, Shiqi Gao, Hongxiao Wang, Jun Zhou, Yangyiye Jin, Siu-Ming Yiu, Junbin Fang
2024RecSysReLand: Integrating Large Language Models' Insights into Industrial Recommenders via a Controllable Reasoning Pool.Changxin Tian, Binbin Hu, Chunjing Gan, Haoyu Chen, Zhuo Zhang, Li Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Jiawei Chen
2024VTCData Correction-Based Model-Driven 3D Radiation Directional Pattern Construction for 5G Base Stations.Qiancheng Ye, He Li, Zhipeng Lin, Qiuming Zhu, Qianhao Gao, Baohua Cao, Tao Liu, Jun Zhou
2024WWWCounterfactual Data Augmentation for Debiased Coupon Recommendations Based on Potential Knowledge.Junpeng Fang, Gongduo Zhang, Qing Cui, Lihong Gu, Longfei Li, Jinjie Gu, Jun Zhou
2024WWWEnhancing Sequential Recommendation via LLM-based Semantic Embedding Learning.Jun Hu, Wenwen Xia, Xiaolu Zhang, Chilin Fu, Weichang Wu, Zhaoxin Huan, Ang Li, Zuoli Tang, Jun Zhou
2024WWWInvariant Graph Learning for Causal Effect Estimation.Yongduo Sui, Caizhi Tang, Zhixuan Chu, Junfeng Fang, Yuan Gao, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang
2024WWWAligned Side Information Fusion Method for Sequential Recommendation.Shuhan Wang, Bin Shen, Xu Min, Yong He, Xiaolu Zhang, Liang Zhang, Jun Zhou, Linjian Mo
2024WWWCan Small Language Models be Good Reasoners for Sequential Recommendation?Yuling Wang, Changxin Tian, Binbin Hu, Yanhua Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Liang Pang, Xiao Wang
2024WWWLeave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation.Shaowei Wei, Zhengwei Wu, Xin Li, Qintong Wu, Zhiqiang Zhang, Jun Zhou, Lihong Gu, Jinjie Gu
2024WWWCalibrating Graph Neural Networks from a Data-centric Perspective.Cheng Yang, Chengdong Yang, Chuan Shi, Yawen Li, Zhiqiang Zhang, Jun Zhou
2024SIGIRBreaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors.Binzong Geng, Zhaoxin Huan, Xiaolu Zhang, Yong He, Liang Zhang, Fajie Yuan, Jun Zhou, Linjian Mo
2024SIGIRExploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset.Zhaoxin Huan, Ke Ding, Ang Li, Xiaolu Zhang, Xu Min, Yong He, Liang Zhang, Jun Zhou, Linjian Mo, Jinjie Gu, Zhongyi Liu, Wenliang Zhong, Guannan Zhang, Chenliang Li, Fajie Yuan
2024SIGIRGATS: Generative Audience Targeting System for Online Advertising.Cong Jiang, Zhongde Chen, Bo Zhang, Yankun Ren, Xin Dong, Lei Cheng, Xinxing Yang, Longfei Li, Jun Zhou, Linjian Mo
2024SIGIREnhancing Sequential Recommenders with Augmented Knowledge from Aligned Large Language Models.Yankun Ren, Zhongde Chen, Xinxing Yang, Longfei Li, Cong Jiang, Lei Cheng, Bo Zhang, Linjian Mo, Jun Zhou
2024VLDBOneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System.Ningyu Zhang, Zekun Xi, Yujie Luo, Peng Wang, Bozhong Tian, Yunzhi Yao, Jintian Zhang, Shumin Deng, Mengshu Sun, Lei Liang, Zhiqiang Zhang, Xiaowei Zhu, Jun Zhou, Huajun Chen
2024WSDMDomain Level Interpretability: Interpreting Black-box Model with Domain-specific Embedding.Ya-Lin Zhang, Caizhi Tang, Lu Yu, Jun Zhou, Longfei Li, Qing Cui, Fangfang Fan, Linbo Jiang, Xiaosong Zhao
2024WSDMPEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation.Chunjing Gan, Bo Huang, Binbin Hu, Jian Ma, Zhiqiang Zhang, Jun Zhou, Guannan Zhang, Wenliang Zhong
2024WSDMNot All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction.Yakun Wang, Binbin Hu, Shuo Yang, Meiqi Zhu, Zhiqiang Zhang, Qiyang Zhang, Jun Zhou, Guo Ye, Huimei He
2023CIKMFINRule: Feature Interactive Neural Rule Learning.Lu Yu, Meng Li, Ya-Lin Zhang, Longfei Li, Jun Zhou
2023CIKMRobust User Behavioral Sequence Representation via Multi-scale Stochastic Distribution Prediction.Chilin Fu, Weichang Wu, Xiaolu Zhang, Jun Hu, Jing Wang, Jun Zhou
2023CIKMContinual Learning in Predictive Autoscaling.Hongyan Hao, Zhixuan Chu, Shiyi Zhu, Gangwei Jiang, Yan Wang, Caigao Jiang, James Y. Zhang, Wei Jiang, Siqiao Xue, Jun Zhou
2023CIKMSeqGen: A Sequence Generator via User Side Information for Behavior Sparsity in Recommendation.Xu Min, Xiaolu Zhang, Bin Shen, Shuhan Wang, Yong He, Changsheng Li, Jun Zhou
2023CIKMTreatment Effect Estimation across Domains.Yi-Xuan Sun, Ya-Lin Zhang, Wei Wang, Longfei Li, Jun Zhou
2023CIKMPeriodicity May Be Emanative: Hierarchical Contrastive Learning for Sequential Recommendation.Changxin Tian, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou
2023CIKMDisentangled Interest importance aware Knowledge Graph Neural Network for Fund Recommendation.Ke Tu, Wei Qu, Zhengwei Wu, Zhiqiang Zhang, Zhongyi Liu, Yiming Zhao, Le Wu, Jun Zhou, Guannan Zhang
2023CIKMG-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems.Youshao Xiao, Shangchun Zhao, Zhenglei Zhou, Zhaoxin Huan, Lin Ju, Xiaolu Zhang, Lin Wang, Jun Zhou
2023CoDITOptimal Design and Scheduling of Natural Gas Storage Facilities under Multiple Time Scales.Jinghong Peng, Jun Zhou, Guangchuan Liang
2023DACHDSuper: Algorithm-Hardware Co-design for Light-weight High-quality Super-Resolution Accelerator.Liang Chang, Xin Zhao, Dongqi Fan, Zhicheng Hu, Jun Zhou
2023DASFAAUnsupervised Fraud Transaction Detection on Dynamic Attributed Networks.Yangyang Hou, Daixin Wang, Binbin Hu, Ruoyu Zhuang, Zhiqiang Zhang, Jun Zhou, Feng Zhao, Yulin Kang, Zhanwen Qiao
2023DASFAAGlobal-Aware Model-Free Self-distillation for Recommendation System.Ang Li, Jian Hu, Wei Lu, Ke Ding, Xiaolu Zhang, Jun Zhou, Yong He, Liang Zhang, Lihong Gu
2023DASFAAA Scalable Social Recommendation Framework with Decoupled Graph Neural Network.Ke Tu, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, Peng Cui, Xiaolong Li, Jun Zhou
2023DASFAAAntTune: An Efficient Distributed Hyperparameter Optimization System for Large-Scale Data.Jun Zhou, Qitao Shi, Yi Ding, Lin Wang, Longfei Li, Feng Zhu
2023DICTAWhat EXACTLY are We Looking at?: Investigating for Discriminance in Ultra-Fine-Grained Visual Categorization Tasks.Ugochukwu Ejike Akpudo, Xiaohan Yu, Jun Zhou, Yongsheng Gao
2023ECAISelf-Expressive Network-Based Subspace Clustering for Deep Embedding.Tingting Leng, Ling Zhao, Xiaolong Xiong, Peng Cheng, Jun Zhou
2023EMNLPTowards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompts.Gangwei Jiang, Caigao Jiang, Siqiao Xue, James Zhang, Jun Zhou, Defu Lian, Ying Wei
2023ICASSPAn Application of Quantum Mechanics to Attention Methods in Computer Vision.Juntao Zhang, Yihao Luo, Peng Cheng, Zehan Li, Hao Wu, Kun Yu, Wenbo An, Jun Zhou
2023ICASSPDeep Double Self-Expressive Subspace Clustering.Ling Zhao, Yunpeng Ma, Shanxiong Chen, Jun Zhou
2023ICCVEfficient Region-Aware Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis.Jiahe Li, Jiawei Zhang, Xiao Bai, Jun Zhou, Lin Gu
2023ICCVDeep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose Estimation.Jun Zhou, Kai Chen, Linlin Xu, Qi Dou, Jing Qin
2023ICDEGARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning.Weifan Wang, Binbin Hu, Zhicheng Peng, Mingjie Zhong, Zhiqiang Zhang, Zhongyi Liu, Guannan Zhang, Jun Zhou
2023ICDEA Rule-based Decision System for Financial Applications.Meng Li, Jun Zhou, Lu Yu, Xiaoguang Huang, Yongfeng Gu, Yi Ding, Hao Ding, Longfei Li
2023ICDEInferTurbo: A Scalable System for Boosting Full-graph Inference of Graph Neural Network over Huge Graphs.Dalong Zhang, Xianzheng Song, Zhiyang Hu, Yang Li, Miao Tao, Binbin Hu, Lin Wang, Zhiqiang Zhang, Jun Zhou
2023ICDEALT: An Automatic System for Long Tail Scenario Modeling.Ya-Lin Zhang, Jun Zhou, Yankun Ren, Yue Zhang, Xinxing Yang, Meng Li, Qitao Shi, Longfei Li
2023ICDEDCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation.Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang
2023ICDMEnhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference.Yan Wang, Zhixuan Chu, Tao Zhou, Caigao Jiang, Hongyan Hao, Minjie Zhu, Xindong Cai, Qing Cui, Longfei Li, James Y. Zhang, Siqiao Xue, Jun Zhou
2023ICIPMultiscale Representations Learning Transformer Framework for Point Cloud Classification.Yajie Sun, Ali Zia, Jun Zhou
2023ICIPCost-Efficient Multi-Instance Multi-Label Active Learning Via Correlation of Features.Guoliang Su, Zhangquan Wu, Yujia Ye, Maoxing Chen, Jun Zhou
2023ICIPTask-Aware Graph Convolutional Network for Active Learning.Yujia Ye, Zhangquan Wu, Guoliang Su, Jun Zhou
2023ICLRTowards Open Temporal Graph Neural Networks.Kaituo Feng, Changsheng Li, Xiaolu Zhang, Jun Zhou
2023ICMLDifference-in-Differences Meets Tree-based Methods: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding.Caizhi Tang, Huiyuan Wang, Xinyu Li, Qing Cui, Longfei Li, Jun Zhou
2023ICONIPApplications of Quantum Embedding in Computer Vision.Juntao Zhang, Jun Zhou, Hailong Wang, Yang Lei, Peng Cheng, Zehan Li, Hao Wu, Kun Yu, Wenbo An
2023IGARSSMulti-Task Attentional U-Net for Hyperspectral Image Denoising.Fengchao Xiong, Zhongyi Gu, Wenbin Zheng, Tianhan Li, Jun Zhou
2023IJCAIKeep Skills in Mind: Understanding and Implementing Skills in Commonsense Question Answering.Meikai Bao, Qi Liu, Kai Zhang, Ye Liu, Linan Yue, Longfei Li, Jun Zhou
2023IJCAIFew-shot Classification via Ensemble Learning with Multi-Order Statistics.Sai Yang, Fan Liu, Delong Chen, Jun Zhou
2023IJCNNQCA-Net: Quantum-based Channel Attention for Deep Neural Networks.Juntao Zhang, Peng Cheng, Zehan Li, Hao Wu, Wenbo An, Jun Zhou
2023IJCNNA feature engineering method for machine learning inspired by quantum mechanics.Juntao Zhang, Peng Cheng, Zehan Li, Hao Wu, Wenbo An, Jun Zhou
2023ISCAS1.7pJ/SOP Neuromorphic Processor with Integrated Partial Sum Routers for In-Network Computing.Bo Wang, Ming Ming Wong, Dongrui Li, Yi Sheng Chong, Jun Zhou, Weng-Fai Wong, Li-Shiuan Peh, Aarthy Mani, Mohit Upadhyay, Ananta Narayanan Balaji, Anh Tuan Do
2023IECONA FPGA-Based Iterative 6DoF Pose Refinement Processing Unit for Fast and Energy-Efficient Pose Estimation in Picking Robots.Teng Zhang, Minghui Yang, Le Jin, Guoshun Zhou, Xuefeng Zhao, Chao Shi, Xingyu Yuan, Liang Zhou, Liang Chang, Jun Zhou
2023IGARSSWavelet Siamese Network for Change Detection in Remote Sensing Images.Tianhan Li, Fengchao Xiong, Wenbin Zheng, Zhuanfeng Li, Jun Zhou, Yuntao Qian
2023ISPECMining for Better: An Energy-Recycling Consensus Algorithm to Enhance Stability with Deep Learning.Zhen Xia, Zhenfu Cao, Jiachen Shen, Xiaolei Dong, Jun Zhou, Liming Fang, Zhe Liu, Chunpeng Ge, Chunhua Su
2023IVCNZNCAF: NTD-based Concept Activation Factorisation Framework for CNN Explainability.Ugochukwu Ejike Akpudo, Xiaohan Yu, Jun Zhou, Yongsheng Gao
2023KDDPDAS: A Practical Distributed ADMM System for Large-Scale Linear Programming Problems at Alipay.Jun Zhou, Yang Bao, Daohong Jian, Hua Wu
2023KDDSAMD: An Industrial Framework for Heterogeneous Multi-Scenario Recommendation.Zhaoxin Huan, Ang Li, Xiaolu Zhang, Xu Min, Jieyu Yang, Yong He, Jun Zhou
2023KDDFinancial Default Prediction via Motif-preserving Graph Neural Network with Curriculum Learning.Daixin Wang, Zhiqiang Zhang, Yeyu Zhao, Kai Huang, Yulin Kang, Jun Zhou
2023KDDCommonsense Knowledge Graph towards Super APP and Its Applications in Alipay.Xiaoling Zang, Binbin Hu, Jun Chu, Zhiqiang Zhang, Guannan Zhang, Jun Zhou, Wenliang Zhong
2023NetSoftFrom Automation to Autonomous: Driving the Optical Network Management to Fixed Fifth-generation (F5G) Advanced.Haomian Zheng, Yunbin Xu, Italo Busi, Ricard Vilalta, Ramon Casellas, Raul Muoz, Jun Zhou
2023PSTMMDSSE: Multi-client and Multi-keyword Dynamic Searchable Symmetric Encryption for Cloud Storage.Panyu Wu, Zhenfu Cao, Jiachen Shen, Xiaolei Dong, Yihao Yang, Jun Zhou, Liming Fang, Zhe Liu, Chunpeng Ge, Chunhua Su
2023PSTMDPPC: Efficient Scalable Multiparty Delegated PSI and PSI Cardinality.Yihao Yang, Xiaolei Dong, Jiachen Shen, Zhenfu Cao, Yunbo Yang, Jun Zhou, Liming Fang, Zhe Liu, Chunpeng Ge, Chunhua Su, Zongyang Hou
2023WWWMulti-Source Domain Adaptation via Latent Domain Reconstruction.Jun Zhou, Chilin Fu, Xiaolu Zhang
2023WWWImproving Recommendation Fairness via Data Augmentation.Lei Chen, Le Wu, Kun Zhang, Richang Hong, Defu Lian, Zhiqiang Zhang, Jun Zhou, Meng Wang
2023WWWOnline resource allocation in Markov Chains.Jianhao Jia, Hao Li, Kai Liu, Ziqi Liu, Jun Zhou, Nikolai Gravin, Zhihao Gavin Tang
2023WWWA Practical Rule Learning Framework for Risk Management.Jun Zhou, Meng Li, Lu Yu, Longfei Li, Fei Wu
2023WWWDGBCT: A Scalable Distributed Gradient Boosting Causal Tree at Alipay.Jun Zhou, Caizhi Tang, Qing Cui, Yi Ding, Longfei Li, Fei Wu
2023WWWGraph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling.Dingyuan Zhu, Daixin Wang, Zhiqiang Zhang, Kun Kuang, Yan Zhang, Yulin Kang, Jun Zhou
2023SIGIRAlleviating Matching Bias in Marketing Recommendations.Junpeng Fang, Qing Cui, Gongduo Zhang, Caizhi Tang, Lihong Gu, Longfei Li, Jinjie Gu, Jun Zhou, Fei Wu
2023SIGIRWhich Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework.Chunjing Gan, Binbin Hu, Bo Huang, Tianyu Zhao, Yingru Lin, Wenliang Zhong, Zhiqiang Zhang, Jun Zhou, Chuan Shi
2023SIGIRA Practical Online Allocation Framework at Industry-scale in Constrained Recommendation.Daohong Jian, Yang Bao, Jun Zhou, Hua Wu
2023SIGIRUncertainty-based Heterogeneous Privileged Knowledge Distillation for Recommendation System.Ang Li, Jian Hu, Ke Ding, Xiaolu Zhang, Jun Zhou, Yong He, Xu Min
2023SIGIRTAML: Time-Aware Meta Learning for Cold-Start Problem in News Recommendation.Jingyuan Li, Yue Zhang, Xuan Lin, Xinxing Yang, Ge Zhou, Longfei Li, Hong Chen, Jun Zhou
2023SIGIRGreenSeq: Automatic Design of Green Networks for Sequential Recommendation Systems.Yankun Ren, Xinxing Yang, Xingyu Lu, Longfei Li, Jun Zhou, Jinjie Gu, Guannan Zhang
2023SIGIRTowards Multi-Interest Pre-training with Sparse Capsule Network.Zuoli Tang, Lin Wang, Lixin Zou, Xiaolu Zhang, Jun Zhou, Chenliang Li
2023SIGIRCOUPA: An Industrial Recommender System for Online to Offline Service Platforms.Sicong Xie, Binbin Hu, Fengze Li, Ziqi Liu, Zhiqiang Zhang, Wenliang Zhong, Jun Zhou
2023SIGIRGenerative-Contrastive Graph Learning for Recommendation.Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou, Meng Wang
2023SIGIRMDI: A Debiasing Method Combining Unbiased and Biased Data.Han Zhao, Qing Cui, Xinyu Li, Rongzhou Bao, Longfei Li, Jun Zhou, Zhehao Liu, Jinghua Feng
2023WSDMDistriBayes: A Distributed Platform for Learning, Inference and Attribution on Large Scale Bayesian Network.Yi Ding, Jun Zhou, Qing Cui, Lin Wang, Mengqi Zhang, Yang Dong
2023WSDMAntTS: A Toolkit for Time Series Forecasting in Industrial Scenarios.Jianping Wei, Zhibo Zhu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou
2023WSDMA Framework for Detecting Frauds from Extremely Few Labels.Ya-Lin Zhang, Yi-Xuan Sun, Fangfang Fan, Meng Li, Yeyu Zhao, Wei Wang, Longfei Li, Jun Zhou, Jinghua Feng
2023WSDMElasticDL: A Kubernetes-native Deep Learning Framework with Fault-tolerance and Elastic Scheduling.Jun Zhou, Ke Zhang, Feng Zhu, Qitao Shi, Wenjing Fang, Lin Wang, Yi Wang
2022AAAISAIL: Self-Augmented Graph Contrastive Learning.Lu Yu, Shichao Pei, Lizhong Ding, Jun Zhou, Longfei Li, Chuxu Zhang, Xiangliang Zhang
2022AAAIRegularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations.Deyu Bo, Binbin Hu, Xiao Wang, Zhiqiang Zhang, Chuan Shi, Jun Zhou
2022AAAIRobust Heterogeneous Graph Neural Networks against Adversarial Attacks.Mengmei Zhang, Xiao Wang, Meiqi Zhu, Chuan Shi, Zhiqiang Zhang, Jun Zhou
2022ACMLRobust Direct Learning for Causal Data Fusion.Xinyu Li, Yilin Li, Qing Cui, Longfei Li, Jun Zhou
2022AMIABenchmarking Emergency Department Triage Prediction Models with Machine Learning and Large Public Electronic Health Records.Feng Xie, Jun Zhou, Jin Wee Lee, Mingrui Tan, Siqi Li, Logasan S/O Rajnthern, Marcel Lucas Chee, Bibhas Chakraborty, An-Kwok Ian Wong, Alon Dagan, Marcus Eng Hock Ong, Fei Gao, Nan Liu
2022APWEBA Task-Aware Attention-Based Method for Improved Meta-Learning.Yue Zhang, Xinxing Yang, Feng Zhu, Yalin Zhang, Meng Li, Qitao Shi, Longfei Li, Jun Zhou
2022CIKMA Biased Sampling Method for Imbalanced Personalized Ranking.Lu Yu, Shichao Pei, Feng Zhu, Longfei Li, Jun Zhou, Chuxu Zhang, Xiangliang Zhang
2022CIKMSemi-Supervised Learning with Data Augmentation for Tabular Data.Jun-Peng Fang, Caizhi Tang, Qing Cui, Feng Zhu, Longfei Li, Jun Zhou, Wei Zhu
2022CIKMGraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search.Xinshun Feng, Herun Wan, Shangbin Feng, Hongrui Wang, Qinghua Zheng, Jun Zhou, Minnan Luo
2022CIKMA Real-time Post-processing System for Itinerary Recommendation.Linge Jiang, Guiyang Wang, Zhibo Zhu, Binghao Wang, Runsheng Gan, Ziqi Liu, Jun Zhou
2022CIKMAn Adaptive Framework for Confidence-constraint Rule Set Learning Algorithm in Large Dataset.Meng Li, Lu Yu, Ya-Lin Zhang, Xiaoguang Huang, Qitao Shi, Qing Cui, Xinxing Yang, Longfei Li, Wei Zhu, Yanming Fang, Jun Zhou
2022CIKMFwSeqBlock: A Field-wise Approach for Modeling Behavior Representation in Sequential Recommendation.Hao Qian, Qintong Wu, Minghao Li, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Lihong Gu, Jinjie Gu
2022CIKMTask Similarity Aware Meta Learning for Cold-Start Recommendation.Jieyu Yang, Zhaoxin Huan, Yong He, Ke Ding, Liang Zhang, Xiaolu Zhang, Jun Zhou, Linjian Mo
2022CIKMMetaRule: A Meta-path Guided Ensemble Rule Set Learning for Explainable Fraud Detection.Lu Yu, Meng Li, Xiaoguang Huang, Wei Zhu, Yanming Fang, Jun Zhou, Longfei Li
2022CIKMA Practical Distributed ADMM Solver for Billion-Scale Generalized Assignment Problems.Jun Zhou, Feng Qi, Zhigang Hua, Daohong Jian, Ziqi Liu, Hua Wu
2022COLINGAsk Question First for Enhancing Lifelong Language Learning.Han Wang, Ruiliu Fu, Xuejun Zhang, Jun Zhou, Qingwei Zhao
2022COMPSACA Self-adaptive Indicator Selection Approach for Solving Credit Risk Assessment.Yongfeng Gu, Yue Ning, Hao Ding, Kecai Gu, Daohong Jian, Zhou Xu, Hua Wu, Jun Zhou
2022CVPRRevisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective.Jiawei Zhang, Xiang Wang, Xiao Bai, Chen Wang, Lei Huang, Yimin Chen, Lin Gu, Jun Zhou, Tatsuya Harada, Edwin R. Hancock
2022DACAn energy-efficient seizure detection processor using event-driven multi-stage CNN classification and segmented data processing with adaptive channel selection.Jiahao Liu, Zirui Zhong, Yong Zhou, Hui Qiu, Jianbiao Xiao, Jiajing Fan, Zhaomin Zhang, Sixu Li, Yiming Xu, Siqi Yang, Weiwei Shan, Shuisheng Lin, Liang Chang, Jun Zhou
2022DACREACT: a heterogeneous reconfigurable neural network accelerator with software-configurable NoCs for training and inference on wearables.Mohit Upadhyay, Rohan Juneja, Bo Wang, Jun Zhou, Weng-Fai Wong, Li-Shiuan Peh
2022ECCVBadDet: Backdoor Attacks on Object Detection.Shih-Han Chan, Yinpeng Dong, Jun Zhu, Xiaolu Zhang, Jun Zhou
2022ECCVWhere to Focus: Investigating Hierarchical Attention Relationship for Fine-Grained Visual Classification.Yang Liu, Lei Zhou, Pengcheng Zhang, Xiao Bai, Lin Gu, Xiaohan Yu, Jun Zhou, Edwin R. Hancock
2022GECCONL-SOMA-CLP for real parameter single objective bound constrained optimization.Hao Ding, Yongfeng Gu, Hua Wu, Jun Zhou
2022GECCOHeuristic strategies for solving the combinatorial optimization problem in real-world credit risk assessment.Yongfeng Gu, Hao Ding, Kecai Gu, Runsheng Gan, Xiaoguang Huang, Yanming Fang, Zhigang Hua, Hua Wu, Jifeng Xuan, Jun Zhou
2022GECCOOpposite learning and multi-migrating strategy-based self-organizing migrating algorithm with the convergence monitoring mechanism.Yongfeng Gu, Hao Ding, Hua Wu, Jun Zhou
2022GECCOZeroth-order covariance matrix adaptation evolution strategy for single objective bound constrained numerical optimization competition.Yue Ning, Daohong Jian, Hua Wu, Jun Zhou
2022HPCCInteractive and Reliable Graph Processing via the Edge-Cloud Collaboration Framework.Jun Zhou, Masaaki Kondo
2022ICARCVData-Driven Distributed MPC for Load Frequency Control of Networked Nonlinear Power Systems.Yubin Jia, Jun Zhou, Panxiao Yong, Jun Guo
2022ICASSPAttribute-Conditioned Face Swapping Network for Low-Resolution Images.Ang Li, Jian Hu, Chilin Fu, Xiaolu Zhang, Jun Zhou
2022ICASSPMaterial-Guided Siamese Fusion Network for Hyperspectral Object Tracking.Zhuanfeng Li, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Yuntao Qian
2022ICASSPMultitask Sparse Neural Network for Hyperspectral Image Denoising.Fengchao Xiong, Minchao Ye, Jun Zhou, Jianfeng Lu, Yuntao Qian
2022ICASSPA Generalized Kernel Risk Sensitive Loss for Robust Two-Dimensional Singular Value Decomposition.Miaohua Zhang, Yongsheng Gao, Jun Zhou
2022ICDEIntent Mining: A Social and Semantic Enhanced Topic Model for Operation-Friendly Digital Marketing.Weifan Wang, Xiaocheng Cheng, Ziqi Liu, Yu Lin, Yue Shen, Binbin Hu, Zhiqiang Zhang, Xiaodong Zeng, Jun Zhou, Jinjie Gu, Minnan Luo
2022ICDEGaia: Graph Neural Network with Temporal Shift aware Attention for Gross Merchandise Value Forecast in E-commerce.Borui Ye, Shuo Yang, Binbin Hu, Zhiqiang Zhang, Youqiang He, Kai Huang, Jun Zhou, Yanming Fang
2022ICFHRYi Characters Online Handwriting Recognition Models Based on Recurrent Neural Network: RnnNet-Yi and ParallelRnnNet-Yi.Zhixin Yin, Shanxiong Chen, Dingwang Wang, Xihua Peng, Jun Zhou
2022ICIPHow Sound Affects Visual Attention in Omnidirectional Videos.Jie Li, Guangtao Zhai, Yucheng Zhu, Jun Zhou, Xiao-Ping Zhang
2022IGARSSSpatial-Spectral Convolutional Sparse Neural Network for Hyperspectral Image Denoising.Fengchao Xiong, Minchao Ye, Jun Zhou, Yuntao Qian
2022IGARSSLearning Uncertainty-Aware Label Transition for Weakly Supervised Solar Panel Mapping with Aerial Images.Jue Zhang, Xiuping Jia, Jun Zhou, Jiankun Hu
2022IJCAIVertically Federated Graph Neural Network for Privacy-Preserving Node Classification.Chaochao Chen, Jun Zhou, Longfei Zheng, Huiwen Wu, Lingjuan Lyu, Jia Wu, Bingzhe Wu, Ziqi Liu, Li Wang, Xiaolin Zheng
2022IJCAIMERIT: Learning Multi-level Representations on Temporal Graphs.Binbin Hu, Zhengwei Wu, Jun Zhou, Ziqi Liu, Zhigang Huangfu, Zhiqiang Zhang, Chaochao Chen
2022IJCAILearning Mixture of Neural Temporal Point Processes for Multi-dimensional Event Sequence Clustering.Yunhao Zhang, Junchi Yan, Xiaolu Zhang, Jun Zhou, Xiaokang Yang
2022IJCNNRVAE-LAMOL: Residual Variational Autoencoder to Enhance Lifelong Language Learning.Han Wang, Ruiliu Fu, Xuejun Zhang, Jun Zhou
2022InterspeechRobust Cough Feature Extraction and Classification Method for COVID-19 Cough Detection Based on Vocalization Characteristics.Xueshuai Zhang, Jiakun Shen, Jun Zhou, Pengyuan Zhang, Yonghong Yan, Zhihua Huang, Yanfen Tang, Yu Wang, Fujie Zhang, Shaoxing Zhang, Aijun Sun
2022ISCASTDPRO: Ultra-low Power ECG Processor with High-Precision Time-Domain Computing Engine.Liang Chang, Siqi Yang, Huinan Wang, Jianbo Xiao, Xin Zhao, Shuisheng Lin, Jun Zhou
2022ISCASReverSearch: Search-based energy-efficient Processing-in-Memory Architecture.Weihang Li, Liang Chang, Jiajing Fan, Xin Zhao, Hengtan Zhang, Shuisheng Lin, Jun Zhou
2022IGARSSA Temporal-Spectral Generative Adversarial Fusion Network for Improving Satellite Hyperspectral Temporal Resolution.Kai Ren, Weiwei Sun, Jun Zhou, Xiangchao Meng, Gang Yang, Jiangtao Peng
2022KDDA Graph Learning Based Framework for Billion-Scale Offline User Identification.Daixin Wang, Zujian Weng, Zhengwei Wu, Zhiqiang Zhang, Peng Cui, Hongwei Zhao, Jun Zhou
2022MOBICOMA GPU-enabled mobile telemedicine training system for graphic rendering.Zhipeng Fu, Jun Zhou, Wanpeng Xu
2022PAKDDAutoTransformer: Automatic Transformer Architecture Design for Time Series Classification.Yankun Ren, Longfei Li, Xinxing Yang, Jun Zhou
2022PDPGraphDEAR: An Accelerator Architecture for Exploiting Cache Locality in Graph Analytics Applications.Siyi Hu, Masaaki Kondo, Yuan He, Ryuichi Sakamoto, Hao Zhang, Jun Zhou, Hiroshi Nakamura
2022PRICAIMixture of Graph Enhanced Expert Networks for Multi-task Recommendation.Binbin Hu, Bin Shen, Ruize Wu, Zhiqiang Zhang, Yuetian Cao, Yong He, Liang Zhang, Linjian Mo, Jun Zhou
2022WWWA Multi-Task Learning Approach for Delayed Feedback Modeling.Zhigang Huangfu, Gongduo Zhang, Zhengwei Wu, Qintong Wu, Zhiqiang Zhang, Lihong Gu, Jun Zhou, Jinjie Gu
2022WWWConfidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift.Hongrui Liu, Binbin Hu, Xiao Wang, Chuan Shi, Zhiqiang Zhang, Jun Zhou
2022SIGIRAn Industrial Framework for Cold-Start Recommendation in Zero-Shot Scenarios.Zhaoxin Huan, Gongduo Zhang, Xiaolu Zhang, Jun Zhou, Qintong Wu, Lihong Gu, Jinjie Gu, Yong He, Yue Zhu, Linjian Mo
2022SIGIRMetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data.Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Weiming Liu, Longfei Li, Jun Zhou, Xiaolin Zheng
2022SPTransfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings.Yuhao Mao, Chong Fu, Saizhuo Wang, Shouling Ji, Xuhong Zhang, Zhenguang Liu, Jun Zhou, Alex X. Liu, Raheem Beyah, Ting Wang
2022WSDMScope-aware Re-ranking with Gated Attention in Feed.Hao Qian, Qintong Wu, Kai Zhang, Zhiqiang Zhang, Lihong Gu, Xiaodong Zeng, Jun Zhou, Jinjie Gu
2022SDMNeural Graph Matching for Pre-training Graph Neural Networks.Yupeng Hou, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou, Ji-Rong Wen
2022SDMMulti-interest Sequence Modeling for Recommendation with Causal Embedding.Caiqi Sun, Penghao Lu, Lei Cheng, Zhenfu Cao, Xiaolei Dong, Yili Tang, Jun Zhou, Linjian Mo
2021AAAINear Lossless Transfer Learning for Spiking Neural Networks.Zhanglu Yan, Jun Zhou, Weng-Fai Wong
2021APWEBA Graph Attention Network Model for GMV Forecast on Online Shopping Festival.Qianyu Yu, Shuo Yang, Zhiqiang Zhang, Ya-Lin Zhang, Binbin Hu, Ziqi Liu, Kai Huang, Xingyu Zhong, Jun Zhou, Yanming Fang
2021CIKMLarge-scale Secure XGB for Vertical Federated Learning.Wenjing Fang, Derun Zhao, Jin Tan, Chaochao Chen, Chaofan Yu, Li Wang, Lei Wang, Jun Zhou, Benyu Zhang
2021CIKMLearning Representations of Inactive Users: A Cross Domain Approach with Graph Neural Networks.Ziqi Liu, Yue Shen, Xiaocheng Cheng, Qiang Li, Jianping Wei, Zhiqiang Zhang, Dong Wang, Xiaodong Zeng, Jinjie Gu, Jun Zhou
2021CIKMConditional Graph Attention Networks for Distilling and Refining Knowledge Graphs in Recommendation.Ke Tu, Peng Cui, Daixin Wang, Zhiqiang Zhang, Jun Zhou, Yuan Qi, Wenwu Zhu
2021CIKMLow-dimensional Alignment for Cross-Domain Recommendation.Tianxin Wang, Fuzhen Zhuang, Zhiqiang Zhang, Daixin Wang, Jun Zhou, Qing He
2021CIKMCounterfactual Review-based Recommendation.Kun Xiong, Wenwen Ye, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Binbin Hu, Zhiqiang Zhang, Jun Zhou
2021CIKMSIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation.Kai Zhang, Hao Qian, Qi Liu, Zhiqiang Zhang, Jun Zhou, Jianhui Ma, Enhong Chen