Qi Zhang

152 papers A* 44A 3B 5Journal 84Unranked 16
YearRankTypeTitle / Venue / Authors
2026 A* conf
AMID: Model-Agnostic Dataset Distillation by Adversarial Mutual Information Minimization.
WWW
Aoqi Wu, Junming Liu, Yuwei Zhang, Weiquan Huang, Liang Hu, Yifan Yang, Qi Zhang, Jiaxing Miao, Yuhan Tang, Zhongyuan Lai
2026 A* conf
Accurate Trajectory Recovery in Underserved Areas via Location Inference from Web Crowdsourced Data.
WWW
Tangwei Ye, Liang Hu, Zhongyuan Lai, Qi Zhang, Yiming Wu, Jiaxing Miao, Yijun Yang, Kun Yi
2026 J jnl
Adaptive Visual Autoregressive Acceleration via Dual-Linkage Entropy Analysis.
CoRR
Yu Zhang, Jingyi Liu, Feng Liu, Duoqian Miao, Qi Zhang, Kexue Fu, Changwei Wang, Longbing Cao
2026 J jnl
Beyond topology-based graph mining: Deep analysis research networks via evolutionary topology and content fusion.
Inf. Fusion
Xueyu Chen, Ran Miao, Liang Hu, Ruijian Wei, Qi Zhang, Kaitao Song, Usman Naseem, Cairong Zhao
2026 A* conf
Bridging Cognitive Neuroscience and Graph Intelligence: Hippocampus-Inspired Multi-View Hypergraph Learning for Web Finance Fraud.
WWW
Rongkun Cui, Nana Zhang, Kun Zhu, Qi Zhang
2026 A* conf
Counterfactual Augmented Causal Reasoning for Aspect-Based Sentiment Analysis.
WWW
Yiming Wu, Liang Hu, Mingzhu Zhou, Tangwei Ye, Xuejie Yang, Xun Yang, Zhongyuan Lai, Qi Zhang, Usman Naseem
2026 A* conf
DFRec: Dual Fluctuation Modeling of Multi-level Intent Evolution for Next-Item Recommendation.
AAAI
Nengjun Zhu, Lingdan Sun, Qi Zhang, Jian Cao, Hang Yu
2026 A* conf
Dynamic Min-Max Multi-Dimensional Reinforcement Backdoor Attacks and Orchestrated Closed-Loop Defense in Fairness-Aware Web Federated Finance.
WWW
Ruixiao Zhu, Kun Zhu, Nana Zhang, Qi Zhang, Changjun Jiang
2026 J jnl
Dynamic lifecycle induced authenticity analysis for multi-modal fake news detection.
Expert Syst. Appl.
An Lao, Wei Ruan, Qi Zhang, Chongyang Shi, Shufeng Hao
2026 J jnl
Frequency-aware and lifting-based efficient transformer for person search.
Expert Syst. Appl.
Qilin Shu, Qixian Zhang, Duoqian Miao, Qi Zhang, Hongyun Zhang, Cairong Zhao
2026 A* conf
QDDR: Quality-Driven Intent Disentanglement with Dual-Path Modeling for Recommendation.
WWW
Nengjun Zhu, Yixun Lu, Qi Zhang
2026 J jnl
Reliable Pseudo-Supervision for Unsupervised Domain Adaptive Person Search.
IEEE Trans. Image Process.
Qixian Zhang, Duoqian Miao, Qi Zhang, Xuan Tan, Hongyun Zhang, Cairong Zhao
2026 J jnl
Seeking personality yet commonality via adversarial learning to enhance heterogeneous multimodal collaboration.
Inf. Fusion
Zhuojia Wu, Qi Zhang, Duoqian Miao, Xuerong Zhao, Guangyin Bao, Liang Hu, Kun Yi, Yu Zhou
2026 J jnl
Swordsman: Entropy-Driven Adaptive Block Partition for Efficient Diffusion Language Models.
CoRR
Yu Zhang, Xinchen Li, Jialei Zhou, Hongnan Ma, Zhongwei Wan, Yiwei Shi, Duoqian Miao, Qi Zhang, Longbing Cao
2026 A* conf
Towards Fair Large Language Model-based Recommender Systems without Costly Retraining.
WWW
Jin Li, Huilin Gu, Shoujin Wang, Qi Zhang, Shui Yu, Chen Wang, Xiwei Xu, Fang Chen
2026 J jnl
Towards Fair Large Language Model-based Recommender Systems without Costly Retraining.
CoRR
Jin Li, Huilin Gu, Shoujin Wang, Qi Zhang, Shui Yu, Chen Wang, Xiwei Xu, Fang Chen
2025 A conf
A Multimodal Prompt-based Framework for Analyzing Code-Mixed and Low-Resource Memes.
ICWSM
Surendrabikram Thapa, Hariram Veeramani, Liang Hu, Qi Zhang, Wei Wang, Usman Naseem
2025 — conf
A Survey on Deep Learning based Time Series Analysis with Frequency Transformation.
KDD (2)
Kun Yi, Qi Zhang, Wei Fan, Longbing Cao, Shoujin Wang, Hui He, Guodong Long, Liang Hu, Qingsong Wen, Hui Xiong
2025 — conf
ALSA: Context-Sensitive Prompt Privacy Preservation in Large Language Models.
KDD (2)
Hongru Ma, Wenpeng Lu, Yanjie Liang, Tianyi Wang, Qi Zhang, Yingjie Zhu, Jiasheng Si
2025 J jnl
Adapting GNNs for Document Understanding: A Flexible Framework With Multiview Global Graphs.
IEEE Trans. Comput. Soc. Syst.
Zhuojia Wu, Qi Zhang, Duoqian Miao, Xue Rong Zhao, Kaize Shi
2025 A* conf
Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting.
AAAI
Jingru Fei, Kun Yi, Wei Fan, Qi Zhang, Zhendong Niu
2025 J jnl
Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting.
CoRR
Jingru Fei, Kun Yi, Wei Fan, Qi Zhang, Zhendong Niu
2025 — conf
Boosting Adversarial Transferability via Commonality-Oriented Gradient Optimization.
PRCV (2)
Yanting Gao, Yepeng Liu, Junming Liu, Qi Zhang, Hongyun Zhang, Duoqian Miao, Cairong Zhao
2025 J jnl
Boosting Adversarial Transferability via Commonality-Oriented Gradient Optimization.
CoRR
Yanting Gao, Yepeng Liu, Junming Liu, Qi Zhang, Hongyun Zhang, Duoqian Miao, Cairong Zhao
2025 A* conf
COLUR: Confidence-Oriented Learning, Unlearning and Relearning with Noisy-Label Data for Model Restoration and Refinement.
IJCAI
Zhihao Sui, Liang Hu, Jian Cao, Usman Naseem, Zhongyuan Lai, Qi Zhang
2025 J jnl
COLUR: Confidence-Oriented Learning, Unlearning and Relearning with Noisy-Label Data for Model Restoration and Refinement.
CoRR
Zhihao Sui, Liang Hu, Jian Cao, Usman Naseem, Zhongyuan Lai, Qi Zhang
2025 A* conf
COSEE: Consistency-Oriented Signal-Based Early Exiting via Calibrated Sample Weighting Mechanism.
AAAI
Jianing He, Qi Zhang, Hongyun Zhang, Xuanjing Huang, Usman Naseem, Duoqian Miao
2025 J jnl
CUFG: Curriculum Unlearning Guided by the Forgetting Gradient.
CoRR
Jiaxing Miao, Liang Hu, Qi Zhang, Lai Zhong Yuan, Usman Naseem
2025 J jnl
CoSD: Collaborative stance detection with contrastive heterogeneous topic graph learning.
Knowl. Based Syst.
Yinghan Cheng, Qi Zhang, Chongyang Shi, Liang Xiao, Shufeng Hao, Liang Hu
2025 A* conf
DiGrI: Distorted Greedy Approach for Human-Assisted Online Suicide Ideation Detection.
WWW
Usman Naseem, Liang Hu, Qi Zhang, Shoujin Wang, Shoaib Jameel
2025 J jnl
Distributional Drift Adaptation With Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting.
IEEE Trans. Neural Networks Learn. Syst.
Hui He, Qi Zhang, Kun Yi, Kaize Shi, Zhendong Niu, Longbing Cao
2025 J jnl
Dynamic frequency selection and spatial interaction fusion for robust person search.
Inf. Fusion
Qixian Zhang, Duoqian Miao, Qi Zhang, Cairong Zhao, Hongyun Zhang, Ye Sun, Ruizhi Wang
2025 A* conf
Empowering Multimodal Road Traffic Profiling with Vision Language Models and Frequency Spectrum Fusion.
IJCAI
Haolong Xiang, Xiaolong Xu, Guangdong Wang, Xuyun Zhang, Xiaoyong Li, Qi Zhang, Amin Beheshti, Wei Fan
2025 J jnl
Enhancing Text-to-Image Diffusion Transformer via Split-Text Conditioning.
CoRR
Yu Zhang, Jialei Zhou, Xinchen Li, Qi Zhang, Zhongwei Wan, Tianyu Wang, Duoqian Miao, Changwei Wang, Longbing Cao
2025 — conf
GameTox: A Comprehensive Dataset and Analysis for Enhanced Toxicity Detection in Online Gaming Communities.
NAACL (Short Papers)
Usman Naseem, Shuvam Shiwakoti, Siddhant Bikram Shah, Surendrabikram Thapa, Qi Zhang
2025 A* conf
Generating with Fairness: A Modality-Diffused Counterfactual Framework for Incomplete Multimodal Recommendations.
WWW
Jin Li, Shoujin Wang, Qi Zhang, Shui Yu, Fang Chen
2025 J jnl
Generating with Fairness: A Modality-Diffused Counterfactual Framework for Incomplete Multimodal Recommendations.
CoRR
Jin Li, Shoujin Wang, Qi Zhang, Shui Yu, Fang Chen
2025 J jnl
Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of Brain Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Jiaxing Miao, Liang Hu, Qi Zhang, Longbing Cao
2025 — conf
Highly Efficient Direct Analytics on Semantic-Aware Time Series Data Compression.
ICC
Guoyou Sun, Panagiotis Karras, Qi Zhang
2025 J jnl
Highly Efficient Direct Analytics on Semantic-aware Time Series Data Compression.
CoRR
Guoyou Sun, Panagiotis Karras, Qi Zhang
2025 — conf
IN-Flow: Instance Normalization Flow for Non-stationary Time Series Forecasting.
KDD (1)
Wei Fan, Shun Zheng, Pengyang Wang, Rui Xie, Kun Yi, Qi Zhang, Jiang Bian, Yanjie Fu
2025 A* conf
Improving Prediction Certainty Estimation for Reliable Early Exiting via Null Space Projection.
IJCAI
Jianing He, Qi Zhang, Duoqian Miao, Kun Yi, Shufeng Hao, Hongyun Zhang, Zhihua Wei
2025 J jnl
Improving Prediction Certainty Estimation for Reliable Early Exiting via Null Space Projection.
CoRR
Jianing He, Qi Zhang, Duoqian Miao, Kun Yi, Shufeng Hao, Hongyun Zhang, Zhihua Wei
2025 J jnl
MASK-Net: Robust Health Mention Classification by Masking a Disease or Symptom Terms.
IEEE Trans. Comput. Soc. Syst.
Usman Naseem, Surendrabikram Thapa, Qi Zhang, Junaid Rashid, Liang Hu
2025 J jnl
Markovian Scale Prediction: A New Era of Visual Autoregressive Generation.
CoRR
Yu Zhang, Jingyi Liu, Yiwei Shi, Qi Zhang, Duoqian Miao, Changwei Wang, Longbing Cao
2025 J jnl
MindSimulator: Exploring Brain Concept Localization via Synthetic FMRI.
CoRR
Guangyin Bao, Qi Zhang, Zixuan Gong, Zhuojia Wu, Duoqian Miao
2025 A* conf
MindSimulator: Exploring Brain Concept Localization via Synthetic fMRI.
ICLR
Guangyin Bao, Qi Zhang, Zixuan Gong, Zhuojia Wu, Duoqian Miao
2025 A* conf
MindTuner: Cross-Subject Visual Decoding with Visual Fingerprint and Semantic Correction.
AAAI
Zixuan Gong, Qi Zhang, Guangyin Bao, Lei Zhu, Rongtao Xu, Ke Liu, Liang Hu, Duoqian Miao
2025 J jnl
Perception Activator: An intuitive and portable framework for brain cognitive exploration.
CoRR
Le Xu, Qi Zhang, Qixian Zhang, Hongyun Zhang, Duoqian Miao, Cairong Zhao
2025 A* conf
RF-DTR: A Multi-Stage DCT Token Regression Network for Progressive Rib Fracture Mask Refinement.
IJCAI
Shouyu Chen, Liang Hu, Juntao Wang, Usman Naseem, Zhongyuan Lai, Qi Zhang
2025 — conf
RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation.
EMNLP (Findings)
Tianjiao Li, Mengran Yu, Chenyu Shi, Yanjun Zhao, Xiaojing Liu, Qi Zhang, Xuanjing Huang, Qiang Zhang, Jiayin Wang
2025 J jnl
RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation.
CoRR
Tianjiao Li, Mengran Yu, Chenyu Shi, Yanjun Zhao, Xiaojing Liu, Qiang Zhang, Qi Zhang, Xuanjing Huang, Jiayin Wang
2025 A* conf
Recalling The Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy.
IJCAI
Zhihao Sui, Liang Hu, Jian Cao, Dora D. Liu, Usman Naseem, Zhongyuan Lai, Qi Zhang
2025 J jnl
Recalling The Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy.
CoRR
Zhihao Sui, Liang Hu, Jian Cao, Dora D. Liu, Usman Naseem, Zhongyuan Lai, Qi Zhang
2025 J jnl
RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation.
ACM Trans. Inf. Syst.
Weibin Liao, Yifan Zhu, Yanyan Li, Qi Zhang, Zhonghong Ou, Xuesong Li
2025 J jnl
Revealing Multimodal Causality with Large Language Models.
CoRR
Jin Li, Shoujin Wang, Qi Zhang, Feng Liu, Tongliang Liu, Longbing Cao, Shui Yu, Fang Chen
2025 J jnl
Robust Multivariate Time Series Forecasting Against Intraseries and Interseries Transitional Shift.
IEEE Trans. Neural Networks Learn. Syst.
Hui He, Qi Zhang, Kun Yi, Xiaojun Xue, Shoujin Wang, Liang Hu, Longbing Cao
2025 J jnl
SEMPO: Lightweight Foundation Models for Time Series Forecasting.
CoRR
Hui He, Kun Yi, Yuanchi Ma, Qi Zhang, Zhendong Niu, Guansong Pang
2025 — conf
Structural Patent Classification Using Label Hierarchy Optimization.
EMNLP (Findings)
Mengting Gui, Shufeng Hao, Chongyang Shi, Qi Zhang
2025 A* conf
Time-aware Medication Recommendation via Intervention of Dynamic Treatment Regimes.
WWW
Yishuo Li, Qi Zhang, Wenpeng Lu, Xueping Peng, Weiyu Zhang, Jiasheng Si, Yongshun Gong, Liang Hu
2025 J jnl
Transformer-Based Person Search with High-Frequency Augmentation and Multi-Wave Mixing.
CoRR
Qilin Shu, Qixian Zhang, Qi Zhang, Hongyun Zhang, Duoqian Miao, Cairong Zhao
2025 J jnl
Two-Stage Early Exiting From Globality Towards Reliability.
CAAI Trans. Intell. Technol.
Jianing He, Qi Zhang, Hongyun Zhang, Duoqian Miao
2025 A* conf
Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding.
AAAI
Guangyin Bao, Qi Zhang, Zixuan Gong, Jialei Zhou, Wei Fan, Kun Yi, Usman Naseem, Liang Hu, Duoqian Miao
2024 J jnl
Attentive multi-granularity perception network for person search.
Inf. Sci.
Qixian Zhang, Jun Wu, Duoqian Miao, Cairong Zhao, Qi Zhang
2024 J jnl
COSEE: Consistency-Oriented Signal-Based Early Exiting via Calibrated Sample Weighting Mechanism.
CoRR
Jianing He, Qi Zhang, Hongyun Zhang, Xuanjing Huang, Usman Naseem, Duoqian Miao
2024 J jnl
Causal Learning for Trustworthy Recommender Systems: A Survey.
CoRR
Jin Li, Shoujin Wang, Qi Zhang, Longbing Cao, Fang Chen, Xiuzhen Zhang, Dietmar Jannach, Charu C. Aggarwal
2024 J jnl
CoSD: Collaborative Stance Detection with Contrastive Heterogeneous Topic Graph Learning.
CoRR
Yinghan Cheng, Qi Zhang, Chongyang Shi, Liang Xiao, Shufeng Hao, Liang Hu
2024 A* conf
CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models.
ICSE
Hao Yu, Bo Shen, Dezhi Ran, Jiaxin Zhang, Qi Zhang, Yuchi Ma, Guangtai Liang, Ying Li, Qianxiang Wang, Tao Xie
2024 J jnl
DE
CoRR
Jianing He, Qi Zhang, Weiping Ding, Duoqian Miao, Jun Zhao, Liang Hu, Longbing Cao
2024 J jnl
Deep Coupling Network For Multivariate Time Series Forecasting.
CoRR
Kun Yi, Qi Zhang, Hui He, Kaize Shi, Liang Hu, Ning An, Zhendong Niu
2024 J jnl
Deep Coupling Network for Multivariate Time Series Forecasting.
ACM Trans. Inf. Syst.
Kun Yi, Qi Zhang, Hui He, Kaize Shi, Liang Hu, Ning An, Zhendong Niu
2024 A* conf
Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting.
IJCAI
Wei Fan, Kun Yi, Hangting Ye, Zhiyuan Ning, Qi Zhang, Ning An
2024 J jnl
Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting.
CoRR
Wei Fan, Kun Yi, Hangting Ye, Zhiyuan Ning, Qi Zhang, Ning An
2024 A* conf
Exploitation or Exploration Next? User Behavior Decoupling and Emerging Intent Modeling for Next-Item Recommendation.
ICDM
Nengjun Zhu, Lingdan Sun, Xiangfeng Luo, Jian Cao, Qi Zhang, Xinjiang Lu
2024 A* conf
FilterNet: Harnessing Frequency Filters for Time Series Forecasting.
NeurIPS
Kun Yi, Jingru Fei, Qi Zhang, Hui He, Shufeng Hao, Defu Lian, Wei Fan
2024 J jnl
FilterNet: Harnessing Frequency Filters for Time Series Forecasting.
CoRR
Kun Yi, Jingru Fei, Qi Zhang, Hui He, Shufeng Hao, Defu Lian, Wei Fan
2024 A* conf
Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector.
AAAI
An Lao, Qi Zhang, Chongyang Shi, Longbing Cao, Kun Yi, Liang Hu, Duoqian Miao
2024 J jnl
Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of Brain Networks.
CoRR
Jiaxing Miao, Liang Hu, Qi Zhang, Longbing Cao
2024 J jnl
Graph learning with label attention and hyperbolic embedding for temporal event prediction in healthcare.
Neurocomputing
Usman Naseem, Surendrabikram Thapa, Qi Zhang, Shoujin Wang, Junaid Rashid, Liang Hu, Amir Hussain
2024 A* conf
HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis.
IJCAI
Zhuojia Wu, Qi Zhang, Duoqian Miao, Kun Yi, Wei Fan, Liang Hu
2024 J jnl
HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis.
CoRR
Zhuojia Wu, Qi Zhang, Duoqian Miao, Kun Yi, Wei Fan, Liang Hu
2024 J jnl
Incorporating historical information by disentangling hidden representations for mental health surveillance on social media.
Soc. Netw. Anal. Min.
Usman Naseem, Surendrabikram Thapa, Qi Zhang, Liang Hu, Junaid Rashid, Mehwish Nasim
2024 J jnl
Learning Informative Representation for Fairness-Aware Multivariate Time-Series Forecasting: A Group-Based Perspective.
IEEE Trans. Knowl. Data Eng.
Hui He, Qi Zhang, Shoujin Wang, Kun Yi, Zhendong Niu, Longbing Cao
2024 J jnl
Learning adaptive shift and task decoupling for discriminative one-step person search.
Knowl. Based Syst.
Qixian Zhang, Duoqian Miao, Qi Zhang, Changwei Wang, Yanping Li, Hongyun Zhang, Cairong Zhao
2024 A* conf
Lite-Mind: Towards Efficient and Robust Brain Representation Learning.
ACM Multimedia
Zixuan Gong, Qi Zhang, Guangyin Bao, Lei Zhu, Yu Zhang, Ke Liu, Liang Hu, Duoqian Miao
2024 A* conf
MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization.
ICML
Yu Zhang, Qi Zhang, Zixuan Gong, Yiwei Shi, Yepeng Liu, Duoqian Miao, Yang Liu, Ke Liu, Kun Yi, Wei Fan, Liang Hu, Changwei Wang
2024 J jnl
MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization.
CoRR
Yu Zhang, Qi Zhang, Zixuan Gong, Yiwei Shi, Yepeng Liu, Duoqian Miao, Yang Liu, Ke Liu, Kun Yi, Wei Fan, Liang Hu, Changwei Wang
2024 A* conf
MSynFD: Multi-hop Syntax Aware Fake News Detection.
WWW
Liang Xiao, Qi Zhang, Chongyang Shi, Shoujin Wang, Usman Naseem, Liang Hu
2024 J jnl
MSynFD: Multi-hop Syntax aware Fake News Detection.
CoRR
Liang Xiao, Qi Zhang, Chongyang Shi, Shoujin Wang, Usman Naseem, Liang Hu
2024 J jnl
MindTuner: Cross-Subject Visual Decoding with Visual Fingerprint and Semantic Correction.
CoRR
Zixuan Gong, Qi Zhang, Guangyin Bao, Lei Zhu, Ke Liu, Liang Hu, Duoqian Miao
2024 A* conf
NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction.
NeurIPS
Zixuan Gong, Guangyin Bao, Qi Zhang, Zhongwei Wan, Duoqian Miao, Shoujin Wang, Lei Zhu, Changwei Wang, Rongtao Xu, Liang Hu, Ke Liu, Yu Zhang
2024 J jnl
NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction.
CoRR
Zixuan Gong, Guangyin Bao, Qi Zhang, Zhongwei Wan, Duoqian Miao, Shoujin Wang, Lei Zhu, Changwei Wang, Rongtao Xu, Liang Hu, Ke Liu, Yu Zhang
2024 J jnl
PatSTEG: Modeling Formation Dynamics of Patent Citation Networks via The Semantic-Topological Evolutionary Graph.
CoRR
Ran Miao, Xueyu Chen, Liang Hu, Zhifei Zhang, Minghua Wan, Qi Zhang, Cairong Zhao
2024 — conf
Reinforced Subject-Aware Graph Neural Network for Related Work Generation.
KSEM (1)
Luyao Yu, Qi Zhang, Chongyang Shi, An Lao, Liang Xiao
2024 J jnl
RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation.
CoRR
Weibin Liao, Yifan Zhu, Yanyan Li, Qi Zhang, Zhonghong Ou, Xuesong Li
2024 J jnl
Robust Multivariate Time Series Forecasting against Intra- and Inter-Series Transitional Shift.
CoRR
Hui He, Qi Zhang, Kun Yi, Xiaojun Xue, Shoujin Wang, Liang Hu, Longbing Cao
2024 J jnl
Rumor Detection With Hierarchical Representation on Bipartite Ad Hoc Event Trees.
IEEE Trans. Neural Networks Learn. Syst.
Qi Zhang, Yayi Yang, Chongyang Shi, An Lao, Liang Hu, Shoujin Wang, Usman Naseem
2024 B conf
SAFENet: Towards a Robust Suicide Assessment in Social Media Using Selective Prediction Framework.
IEEE Big Data
Surendrabikram Thapa, Mohammad Salman, Siddhant Bikram Shah, Qi Zhang, Junaid Rashid, Liang Hu, Imran Razzak, Usman Naseem
2024 — conf
SFformer: Adaptive Sparse and Frequency-Guided Transformer Network for Single Image Derain.
PRCV (8)
Xinrui Wang, Hongyun Zhang, Kecan Cai, Duoqian Miao, Qi Zhang, Miao Li
2024 J jnl
SHRINK: Data Compression by Semantic Extraction and Residuals Encoding.
CoRR
Guoyou Sun, Panagiotis Karras, Qi Zhang
2024 B conf
Shrink: Data Compression by Semantic Extraction and Residuals Encoding.
IEEE Big Data
Guoyou Sun, Panagiotis Karras, Qi Zhang
2024 A conf
Structural Representation Learning and Disentanglement for Evidential Chinese Patent Approval Prediction.
CIKM
Jinzhi Shan, Qi Zhang, Chongyang Shi, Mengting Gui, Shoujin Wang, Usman Naseem
2024 J jnl
Structural Representation Learning and Disentanglement for Evidential Chinese Patent Approval Prediction.
CoRR
Jinzhi Shan, Qi Zhang, Chongyang Shi, Mengting Gui, Shoujin Wang, Usman Naseem
2024 B conf
THYMES: A Framework for Detecting Suicidal Ideation from Social Media Posts Using Hyperbolic Learning.
IEEE Big Data
Surendrabikram Thapa, Mohammad Salman, Siddhant Bikram Shah, Shuvam Shiwakoti, Qi Zhang, Liang Hu, Imran Razzak, Usman Naseem
2024 A* conf
VR-DiagNet: Medical Volumetric and Radiomic Diagnosis Networks with Interpretable Clinician-like Optimizing Visual Inspection.
ACM Multimedia
Shouyu Chen, Liang Hu, Tangwei Ye, Zhongyuan Lai, Qi Zhang, Ke Liu, Usman Naseem, Ke Sun, Nengjun Zhu
2024 J jnl
Weakly Augmented Variational Autoencoder in Time Series Anomaly Detection.
CoRR
Zhangkai Wu, Longbing Cao, Qi Zhang, Junxian Zhou, Hui Chen
2024 J jnl
Wills Aligner: A Robust Multi-Subject Brain Representation Learner.
CoRR
Guangyin Bao, Zixuan Gong, Qi Zhang, Jialei Zhou, Wei Fan, Kun Yi, Usman Naseem, Liang Hu, Duoqian Miao
2023 A* conf
A Dynamics and Task Decoupled Reinforcement Learning Architecture for High-Efficiency Dynamic Target Intercept.
AAAI
Dora D. Liu, Liang Hu, Qi Zhang, Tangwei Ye, Usman Naseem, Zhongyuan Lai
2023 — conf
Causal Intervention for Abstractive Related Work Generation.
EMNLP (Findings)
Jiachang Liu, Qi Zhang, Chongyang Shi, Usman Naseem, Shoujin Wang, Liang Hu, Ivor W. Tsang
2023 J jnl
Causal Intervention for Abstractive Related Work Generation.
CoRR
Jiachang Liu, Qi Zhang, Chongyang Shi, Usman Naseem, Shoujin Wang, Ivor W. Tsang
2023 J jnl
Cluster-aware attentive convolutional recurrent network for multivariate time-series forecasting.
Neurocomputing
Simeng Bai, Qi Zhang, Hui He, Liang Hu, Shoujin Wang, Zhendong Niu
2023 J jnl
CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models.
CoRR
Hao Yu, Bo Shen, Dezhi Ran, Jiaxin Zhang, Qi Zhang, Yuchi Ma, Guangtai Liang, Ying Li, Tao Xie, Qianxiang Wang
2023 A* conf
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective.
NeurIPS
Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu
2023 J jnl
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective.
CoRR
Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu
2023 J jnl
Frequency Spectrum is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector.
CoRR
An Lao, Qi Zhang, Chongyang Shi, Longbing Cao, Kun Yi, Liang Hu, Duoqian Miao
2023 A* conf
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting.
NeurIPS
Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Ning An, Defu Lian, Longbing Cao, Zhendong Niu
2023 J jnl
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting.
CoRR
Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Defu Lian, Ning An, Longbing Cao, Zhendong Niu
2023 J jnl
Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based Perspective.
CoRR
Hui He, Qi Zhang, Shoujin Wang, Kun Yi, Zhendong Niu, Longbing Cao
2023 J jnl
Lite-Mind: Towards Efficient and Versatile Brain Representation Network.
CoRR
Zixuan Gong, Qi Zhang, Duoqian Miao, Guangyin Bao, Liang Hu
2023 A* conf
MDKG: Graph-Based Medical Knowledge-Guided Dialogue Generation.
SIGIR
Usman Naseem, Surendrabikram Thapa, Qi Zhang, Liang Hu, Mehwish Nasim
2023 A* conf
MG-ViT: A Multi-Granularity Method for Compact and Efficient Vision Transformers.
NeurIPS
Yu Zhang, Yepeng Liu, Duoqian Miao, Qi Zhang, Yiwei Shi, Liang Hu
2023 J jnl
Modeling User Demand Evolution for Next-Basket Prediction.
IEEE Trans. Knowl. Data Eng.
Shoujin Wang, Yan Wang, Liang Hu, Xiuzhen Zhang, Qi Zhang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Defu Lian
2023 J jnl
Multimodal Federated Learning with Missing Modality via Prototype Mask and Contrast.
CoRR
Guangyin Bao, Qi Zhang, Duoqian Miao, Zixuan Gong, Liang Hu
2023 — conf
Multiview Clickbait Detection via Jointly Modeling Subjective and Objective Preference.
EMNLP (Findings)
Chongyang Shi, Yijun Yin, Qi Zhang, Liang Xiao, Usman Naseem, Shoujin Wang, Liang Hu
2023 J jnl
Neural Time Series Analysis with Fourier Transform: A Survey.
CoRR
Kun Yi, Qi Zhang, Shoujin Wang, Hui He, Guodong Long, Zhendong Niu
2023 J jnl
PFEMed: Few-shot medical image classification using prior guided feature enhancement.
Pattern Recognit.
Zhiyong Dai, Jianjun Yi, Lei Yan, Qingwen Xu, Liang Hu, Qi Zhang, Jiahui Li, Guoqiang Wang
2023 A* conf
PatSTEG: Modeling Formation Dynamics of Patent Citation Networks via The Semantic-Topological Evolutionary Graph.
ICDM
Ran Miao, Xueyu Chen, Liang Hu, Zhifei Zhang, Minghua Wan, Qi Zhang, Cairong Zhao
2023 J jnl
Process Knowledge-infused Learning for Clinician-friendly Explanations.
CoRR
Kaushik Roy, Yuxin Zi, Manas Gaur, Jinendra Malekar, Qi Zhang, Vignesh Narayanan, Amit P. Sheth
2023 — conf
Reducing Knowledge Noise for Improved Semantic Analysis in Biomedical Natural Language Processing Applications.
ClinicalNLP@ACL
Usman Naseem, Surendrabikram Thapa, Qi Zhang, Liang Hu, Anum Masood, Mehwish Nasim
2023 J jnl
Rumor Detection with Hierarchical Representation on Bipartite Adhoc Event Trees.
CoRR
Qi Zhang, Yayi Yang, Chongyang Shi, An Lao, Liang Hu, Shoujin Wang, Usman Naseem
2023 A* conf
Self-Supervised Learning for Multilevel Skeleton-Based Forgery Detection via Temporal-Causal Consistency of Actions.
AAAI
Liang Hu, Dora D. Liu, Qi Zhang, Usman Naseem, Zhongyuan Lai
2023 A* conf
Show Me The Best Outfit for A Certain Scene: A Scene-aware Fashion Recommender System.
WWW
Tangwei Ye, Liang Hu, Qi Zhang, Zhongyuan Lai, Usman Naseem, Dora D. Liu
2023 — conf
Syntax Tree Constrained Graph Network for Visual Question Answering.
ICONIP (5)
Xiangrui Su, Qi Zhang, Chongyang Shi, Jiachang Liu, Liang Hu
2023 J jnl
Syntax Tree Constrained Graph Network for Visual Question Answering.
CoRR
Xiangrui Su, Qi Zhang, Chongyang Shi, Jiachang Liu, Liang Hu
2023 — conf
Tutorials at The Web Conference 2023.
WWW (Companion Volume)
Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne R. Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu
2022 A* conf
A Probabilistic Code Balance Constraint with Compactness and Informativeness Enhancement for Deep Supervised Hashing.
IJCAI
Qi Zhang, Liang Hu, Longbing Cao, Chongyang Shi, Shoujin Wang, Dora D. Liu
2022 — conf
An Ion Exchange Mechanism Inspired Story Ending Generator for Different Characters.
ECML/PKDD (2)
Xinyu Jiang, Qi Zhang, Chongyang Shi, Kaiying Jiang, Liang Hu, Shoujin Wang
2022 J jnl
An Ion Exchange Mechanism Inspired Story Ending Generator for Different Characters.
CoRR
Xinyu Jiang, Qi Zhang, Chongyang Shi, Kaiying Jiang, Liang Hu, Shoujin Wang
2022 A* conf
CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting.
AAAI
Hui He, Qi Zhang, Simeng Bai, Kun Yi, Zhendong Niu
2022 J jnl
Distributional Drift Adaptation with Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting.
CoRR
Hui He, Qi Zhang, Kun Yi, Kaize Shi, Zhendong Niu, Longbing Cao
2022 J jnl
Edge-Varying Fourier Graph Networks for Multivariate Time Series Forecasting.
CoRR
Kun Yi, Qi Zhang, Liang Hu, Hui He, Ning An, Longbing Cao, Zhendong Niu
2022 B conf
Hierarchical Neural Network with Bidirectional Selection Mechanism for Sentiment Analysis.
IJCNN
Xinyu Jiang, Qi Zhang, Chongyang Shi
2022 J jnl
Neural Time-Aware Sequential Recommendation by Jointly Modeling Preference Dynamics and Explicit Feature Couplings.
IEEE Trans. Neural Networks Learn. Syst.
Qi Zhang, Longbing Cao, Chongyang Shi, Zhendong Niu
2022 A* conf
Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities.
SIGIR
Shoujin Wang, Qi Zhang, Liang Hu, Xiuzhen Zhang, Yan Wang, Charu Aggarwal
2022 J jnl
Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities.
CoRR
Shoujin Wang, Qi Zhang, Liang Hu, Xiuzhen Zhang, Yan Wang, Charu Aggarwal
2022 J jnl
Supervised Deep Hashing for High-dimensional and Heterogeneous Case-based Reasoning.
CoRR
Qi Zhang, Liang Hu, Chongyang Shi, Ke Liu, Longbing Cao
2021 J jnl
Context-aware item attraction model for session-based recommendation.
Expert Syst. Appl.
Chaoqun Feng, Chongyang Shi, Chuanming Liu, Qi Zhang, Shufeng Hao, Xinyu Jiang
2021 J jnl
Hierarchical Social Similarity-guided Model with Dual-mode Attention for session-based recommendation.
Knowl. Based Syst.
Chaoqun Feng, Chongyang Shi, Shufeng Hao, Qi Zhang, Xinyu Jiang, Daohua Yu
2021 A* conf
Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data.
AAAI
Qi Zhang, Longbing Cao, Chongyang Shi, Liang Hu
2020 B conf
Mix2Vec: Unsupervised Mixed Data Representation.
DSAA
Chengzhang Zhu, Qi Zhang, Longbing Cao, Arman Abrahamyan
2019 J jnl
HCBC: A Hierarchical Case-Based Classifier Integrated with Conceptual Clustering.
IEEE Trans. Knowl. Data Eng.
Qi Zhang, Chongyang Shi, Zhendong Niu, Longbing Cao
2016 A conf
Case-Based Classification on Hierarchical Structure of Formal Concept Analysis.
ECAI
Qi Zhang, Chongyang Shi, Ping Sun, Zhendong Niu