#76|Xovee Xu, Shuojun Lin, Fan Zhou, Jingkuan Song*.|"Learning to Curate Context: Jointly Optimizing Retrieval and Prediction for Multimodal Social Media Popularity".|The 40th AAAI Conference on Artificial Intelligence(AAAI), 2026. (CCF A)
#75|Disen Hu, Xun Jiang, Xiaofeng Cao, Zheng Wang, Jingkuan Song, Heng Tao Shen, Xing Xu*.|"Hyper-Opinion Vagueness Quantification for Robust Multimodal Learning".|The 40th AAAI Conference on Artificial Intelligence(AAAI), 2026. (CCF A)
#74|Wu-Ding Weng, Tongshu Wu, Liucheng Chen, Siyu Xie, Zheng Wang*, Xing Xu, Jingkuan Song, Heng Tao Shen.|"Language-Grounded Decoupled Action Representation for Robotic Manipulation".|IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026. (CCF A)
#73|Zekai Wu, Jiabao Jin, Peng Cheng*, Xiaoyao Zhong, Lei Chen, Yongxin Tong, Zhitao Shen, Jingkuan Song, Heng Tao Shen, Xuemin Lin.|"FGIM: a Fast Graph-based Indexes Merging Framework for Approximate Nearest Neighbor Search".|ACM SIGMOD Conference(SIGMOD), 2026. (CCF A)
#72|Ruoxuan Li, Xiaoyao Zhong, Jiabao Jin, Peng Cheng*, Wangze Ni, Zhitao Shen, Wei Jia, Xiangyu Wang, Heng Tao Shen, Jingkuan Song.|"SINDI: an Efficient Index for Approximate Maximum Inner Product Search on Sparse Vectors".|IEEE 42nd International Conference on Data Engineering (ICDE), 2026. (CCF A)
#71|Xiaofeng Cao, Mingwei Xu, Xin Yu, Jiangchao Yao, Wei Ye, Sheng-Jun Huang, Min-Ling Zhang, Ivor W. Tsang, Yew-Soon Ong, James T. Kwok, Heng Tao Shen.|"Analytical Survey of Learning with Low-Resource Data: From Analysis to Investigation".|ACM Computing Surveys(CSUR), 2026. (JCR Q1)
#70|Bohao Qu, Xiaofeng Cao*, Bing Li, Menglin Zhang, Tuan-Anh Vu, Di Lin, Qing Guo.|"Exploiting Geometric Structures for Modeling Multi-Agent Behaviors: A New Thinking".|The 40th AAAI Conference on Artificial Intelligence(AAAI), 2026. (CCF A)
#69|Peng Liu, Peng-Fei Zhang*, Jianfeng Qu, Ximing Li, Zhixu Li, Pengpeng Zhao.|"Towards Practical LLM Unlearning: Efficient, Modular, and Retain-Free".|The Web Conference(WWW), 2026. (CCF A)
#68|Duo Peng, Zhengbo Zhang, Ping Hu, Qiuhong Ke, De Wen Soh, Mohammed Bennamoun, Jun Liu.|"Unleashing the Power of Text-to-Image Diffusion Models for Category-Agnostic Pose Estimation".|IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI), 2026. (CCF A, JCR Q1)
#67|Weijia Dou, Xu Zhang, Yi Bin*, Jian Liu, Bo Peng, Guoqing Wang, Yang Yang, Heng Tao Shen.|"GeoPurify: A Data-Efficient Geometric Distillation Framework for Open-Vocabulary 3D Segmentation".|The 14th International Conference on Learning Representations(ICLR), 2026. (CCF A)
#66|Sen Chen, Tong Zhao, Yi Bin*, Fei Ma, Wenqi Shao, Zheng Wang.|"D-GARA: A Dynamic Benchmarking Framework for GUI Agent Robustness in Real-World Anomalies".|The 40th AAAI Conference on Artificial Intelligence(AAAI), 2026. (CCF A)
#65|Jianzhi Liu, Junchen Zhu, Pengpeng Zeng, Lianli Gao, Heng Tao Shen, Jingkuan Song*.|"AICL: Action In-Context Learning for Text-to-Video Generation".|The 33rd ACM International Conference on Multimedia (ACM MM), 2025. (CCF A)
#64|Jiahao Jiang, Zhangrui Yang, Xuanhan Wang, Jingkuan Song.|"Pseudo-Label Refinement for Robust Wheat Head Segmentation via Two-Stage Hybrid Training".|The 20th International Conference on Computer Vision(ICCV), 2025. (CCF A)
#63|Zheng Wang, Xing Xu*, Lei Zhu, Yi Bin, Guoqing Wang, Yang Yang, Heng Tao Shen.|"Evidence-Based Multi-Feature Fusion for Adversarial Robustness".|IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025. (CCF A, JCR Q1)
#62|Yixuan Zhou, Xing Xu*, Zhe Sun, Jingkuan Song, Andrzej Cichocki, Heng Tao Shen.|"VQ-Flow: Taming Normalizing Flows for Multi-Class Anomaly Detection via Hierarchical Vector Quantization".|IEEE Transactions on Multimedia(TMM), 2025. (CCF A, JCR Q1)
#61|Shenshen Li, Xing Xu*, Wenxin Meng, Jingkuan Song, Chong Peng, Heng Tao Shen.|"Mitigating Hallucinations in Large Vision-Language Models via Reasoning Uncertainty-Guided Refinement".|IEEE Transactions on Multimedia(TMM), 2025. (CCF A, JCR Q1)
#60|Xun Jiang, Zhiyi Huang, Xing Xu*, Jingkuan Song, Fumin Shen, Heng Tao Shen.|"PHGC: Procedural Heterogeneous Graph Completion for Natural Language Task Verification in Egocentric Videos".|IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025. (CCF A)
#59|Yixuan Zhou, Long Bai, Sijia Cai*, Bing Deng, Xing Xu*, Heng Tao Shen.|"TAU-106K: A New Dataset for Comprehensive Understanding of Traffic Accident".|The 13rd International Conference on Learning Representations(ICLR), 2025. (CCF A)
#58|Disen Hu, Xun Jiang, Zhe Sun, Hao Yang, Chong Peng, Peng Yan, Heng Tao Shen, Xing Xu*.|"Geometric Gradient Divergence Modulation for Imbalanced Multimodal Learning".|The 33rd ACM International Conference on Multimedia (ACM MM), 2025. (CCF A)
#57|Yixuan Zhou, Yulu Tian, Wenliang Zhong, Xingbin Yu*, Heng Tao Shen, Xing Xu*.|"SaP-Bot: A Multimodal Large-Language Model for End-to-End Same-Product Identification".|The 33rd ACM International Conference on Multimedia (ACM MM), 2025. (CCF A)
#56|Xun Jiang, Shuangle Li, Chong Liu, Xing Xu*.|"Multimodal Time Series Alignment for Error Detection in Human Robot Interactions".|The 33rd ACM International Conference on Multimedia (ACM MM), 2025. (CCF A)
#55|Xi Zhang, Xiaolin Wu, Jiamang Wang, Weisi Lin*.|"Learning Grouped Lattice Vector Quantizers for Low-Bit LLM Compression".|The 39th Conference on Neural Information Processing Systems(NeurIPS), 2025. (CCF A)
#54|Xi Zhang, Hanwei Zhu*, Yan Zhong, Jiamang Wang, Weisi Lin*.|"BADiff: Bandwidth Adaptive Diffusion Model".|The 39th Conference on Neural Information Processing Systems(NeurIPS), 2025. (CCF A)
#53|Leilei Du, Peng Cheng*, Libin Zheng, Xiang Lian, Lei Chen, Wei Xi, Wangze Ni.|"Numerical Estimation of Spatial Distributions Under Differential Privacy".|IEEE 41st International Conference on Data Engineering (ICDE), 2025. (CCF A)
#52|Jiexi Zhan, Yu Chen, Peng Cheng*, Lei Chen, Wangze Ni, Xuemin Lin.|"StructRide: A Framework to Exploit the Structure Information of Shareability Graph in Ridesharing".|IEEE 41st International Conference on Data Engineering (ICDE), 2025. (CCF A)
#51|Yu Shao, Peng Cheng*, Longbin Lai, Long Yuan, Wangze Ni, and Xuemin Lin.|"Most Probable Maximum Weighted Butterfly Search".|IEEE 41st International Conference on Data Engineering (ICDE), 2025. (CCF A)
#50|Xiaoyao Zhong, Haotian Li, Jiabao Jin, Mingyu Yang, Deming Chu, Xiangyu Wang, Zhitao Shen, Wei Jia, George Gu, Yi Xie, Xuemin Lin, Heng Tao Shen, Jingkuan Song, and Peng Cheng*.|"VSAG: An Optimized Search Framework for Graph-based Approximate Nearest Neighbor Search".|Proceedings of the VLDB Endowment (PVLDB), 2025. (CCF A)
#49|Leilei Du, Peng Cheng*, Lei Chen, Heng Tao Shen, Xuemin Lin, and Wei Xi.|"Infinite Stream Estimation under Personalized 𝑤-Event Privacy".|Proceedings of the VLDB Endowment (PVLDB), 2025. (CCF A)
#48|Ziheng Ding, Xiaze Zhang, Qi Jing, Ying Cheng*, Rui Feng*.|"AS-Det: Active Sampling for Adaptive 3D Object Detection in Point Clouds".|The 39th AAAI Conference on Artificial Intelligence (AAAI), 2025. (CCF A)
#47|Yongxin Li, Ying Cheng*, Yaning Pan, Wen He, Qing Wang, Rui Feng*, Xiaobo Zhang.|"Semantic-Aware Hard Negative Mining for Medical Vision-Language Contrastive Pretraining".|The 33rd ACM International Conference on Multimedia (ACM MM), 2025. (CCF A)
#46|Lanyun Zhu, Deyi Ji, Tianrun Chen, Haiyang Wu, Shiqi Wang.|"Retrv-R1: A Reasoning-Driven MLLM Framework for Universal and Efficient Multimodal Retrieval".|Annual Conference on Neural Information Processing Systems (NeurIPS), 2025. (CCF A)
#45|Lanyun Zhu, Tianrun Chen, Jianxiong Yin, Simon See, De Wen Soh, Jun Liu.|"Replay Master: Automatic Sample Selection and Effective Memory Utilization for Continual Semantic Segmentation".|IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025. (CCF A, JCR Q1)
#44|Lanyun Zhu, Tianrun Chen, Deyi Ji, Jieping Ye, Jun Liu.|"Not Every Patch is Needed: Toward a More Efficient and Effective Backbone for Video-Based Person Re-Identification".|IEEE Transactions on Image Processing (TIP), 2025. (CCF A, JCR Q1)
#43|Lanyun Zhu, Deyi Ji, Tianrun Chen, Haiyang Wu, De Wen Soh, Jun Liu.|"CPCF: A Cross-Prompt Contrastive Framework for Referring Multimodal Large Language Models".|International Conference on Machine Learning (ICML), 2025. (CCF A)
#42|Lanyun Zhu, Tianrun Chen, Qianxiong Xu, Xuanyi Liu, Deyi Ji, Haiyang Wu, De Wen Soh, Jun Liu.|"POPEN: Preference-Based Optimization and Ensemble for LVLM-Based Reasoning Segmentation".|IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025. (CCF A)
#41|Yizhen Zheng, Huan Yee Koh, Jiaxin Ju, Anh T. N. Nguyen, Lauren T. May, Geoffrey I. Webb, Shirui Pan*.|"Large language models for scientific discovery in molecular property prediction".|Nature Machine Intelligence(Nat. Mach. Intell.), 2025. (NS子刊)
#40|Xiaofeng Cao*, Yaming Guo, Heng Tao Shen, Ivor W. Tsang, James T. Kwok.|"Black-box Teaching an Active Learner".|Journal of Machine Learning Research(JMLR), 2025. (CCF A)
#39|Yadong Sun, Xiaofeng Cao*, Ivor W. Tsang, Heng Tao Shen.|"Analytical Construction on Geometric Architectures: Transitioning from Static to Dynamic Temporal Link Prediction".|The 42nd International Conference on Machine Learning(ICML), 2025. (CCF A)
#38|Yuxiao Lee, Xiaofeng Cao*, Jingcai Guo, Wei Ye, Qing Guo, Yi Chang.|"Concept Matching with Agent for Out-of-Distribution Detection".|The 39th AAAI Conference on Artificial Intelligence(AAAI), 2025. (CCF A)
#37|Wei Ye, Wengang Guo, Shuhao Tang, Hao Tian, Xin Sun, Xiaofeng Cao*, Heng Tao Shen.|"Distributional Shortest-Path Graph Kernels".|IEEE Transactions on Knowledge and Data Engineering(TKDE), 2025. (CCF A)
#36|Yawen Li, Mengyu Zhuang, Guanhua Ye, Yan Li, Junheng Wang, Jinyi Zhou, Peng-Fei Zhang*.|"FeBT: A Feature Balancing Transformer for Corporate ESG Forecasting".|IEEE Transactions on Knowledge and Data Engineering(TKDE), 2025. (JCR Q1)
#35|Jiajie Chen, Yu Sang, Peng-Fei Zhang*, Jiaan Wang, Jianfeng Qu, Zhixu Li*.|"Enhancing Long-and Short-Term Representations for Next POI Recommendations via Frequency and Hierarchical Contrastive Learning".|The 39th AAAI Conference on Artificial Intelligence(AAAI), 2025. (CCF A)
#34|Yunfan Ren, Fangcheng Zhu, Guozheng Lu, Yixi Cai, Longji Yin, Fanze Kong, Jiarong Lin, Nan Chen, Fu Zhang.|"Safety-assured high-speed navigation for MAVs".|Science Robotics, 2025. (NS子刊)
#33|Fangcheng Zhu, Yunfan Ren, Longji Yin, Fanze Kong, Qingbo Liu, Ruize Xue, Wenyi Liu, Yixi Cai, Guozheng Lu, Haotian Li, Fu Zhang*.|"Swarm-LIO2: Decentralized Efficient LiDAR-Inertial Odometry for Aerial Swarm Systems".|IEEE Transactions on Robotics(T-RO), 2025. (JCR Q1)
#32|Guozheng Lu, Yunfan Ren, Fangcheng Zhu, Haotian Li, Ruize Xue, Yixi Cai, Ximin Lyu, Fu Zhang*.|"Autonomous Tail-Sitter Flights in Unknown Environments".|IEEE Transactions on Robotics(T-RO), 2025. (JCR Q1)
#31|Bowen Wang, Lei Zhu*, Fengling Li, Hui Cui, Jingjing Li.|"Plug-In Open-Set Cross-Modal Hashing".|IEEE Transactions on Multimedia(TMM), 2025. (JCR Q1)
#30|Duo Peng, Qiuhong Ke, Mark He Huang, Ping Hu, Jun Liu.|"Unified Prompt Attack Against Text-to-Image Generation Models".|IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI), 2025. (CCF A, JCR Q1)
#29|Thong Thanh Nguyen, Yi Bin*, Xiaobao Wu, Zhiyuan Hu, Cong-Duy T. Nguyen, See-Kiong Ng, Anh Tuan Luu.|"Multi-Scale Contrastive Learning for Video Temporal Grounding".|The 39th AAAI Conference on Artificial Intelligence(AAAI), 2025. (CCF A)
#28|Thong Thanh Nguyen, Xiaobao Wu, Yi Bin*, Cong-Duy T. Nguyen, See-Kiong Ng, Anh Tuan Luu.|"Motion-aware Contrastive Learning for Temporal Panoptic Scene Graph Generation".|The 39th AAAI Conference on Artificial Intelligence(AAAI), 2025. (CCF A)
#27|Haonan Zhang, Pengpeng Zeng*, Lianli Gao, Jingkuan Song, Yihang Duan, Xinyu Lyu, Heng Tao Shen.|"Text-Video Retrieval With Global-Local Semantic Consistent Learning".|IEEE Transactions on Image Processing(TIP), 2025. (CCF A, JCR Q1)
#26|Shenshen Li, Xing Xu*, Xun Jiang, Fumin Shen, Zhe Sun, Andrzej Cichock.|"Cross-Modal Attention Preservation with Self-Contrastive Learning for Composed Query-Based Image Retrieval".|ACM Transactions on Multimedia Computing, Communicationsand Applications(TOMM), 2024. (JCR Q1)
#25|Xi Zhang, Xiaolin Wu*.|"Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression".|The 38th Conference on Neural Information Processing Systems (NeurIPS), 2024. (CCF A)
#24|Wangze Ni, Peng Cheng*, Lei Chen, Shiyu Yang.|"Task Assignment Framework for Online Car-Hailing Systems With Electric Vehicles".|IEEE Transactions on Knowledge and Data Engineering(TKDE), 2024. (CCF A, JCR Q1)
#23|Xiaoyao Zhong, Jiabao Jin, Peng Cheng*, Wangze Ni, Libin Zheng, Lei Chen, and Xuemin Lin.|"Wait to be Faster: a Smart Pooling Framework for Dynamic Ridesharing".|IEEE 40th International Conference on Data Engineering (ICDE), 2024. (CCF A)
#22|Jiexi Zhan, Han Wu, Peng Cheng*, Libin Zheng, Lei Chen, Chen Jason Zhang, Xuemin Lin, Wenjie Zhang.|"TrendSharing: A Framework to Discover and Follow the Trends for Shared Mobility Services".|IEEE 40th International Conference on Data Engineering (ICDE), 2024. (CCF A)
#21|Wangze Ni, Yiwei Zhao, Weijie Sun, Lei Chen, Peng Cheng*, Chen Jason Zhang, and Xuemin Lin.|"Money Never Sleeps: Maximizing Liquidity Mining Yields in Decentralized Finance".|Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining(KDD), 2024. (CCF A)
#20|Ying Cheng, Yang Li, Junjie He, Rui Feng*.|"Mixtures of Experts for Audio-Visual Learning".|The 38th Conference on Neural Information Processing Systems (NeurIPS), 2024. (CCF A)
#19|Lanyun Zhu, Tianrun Chen, Deyi Ji, Jieping Ye, Jun Liu.|"LLaFS: When Large Language Models Meet Few-Shot Segmentation".|IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (CCF A)
#18|Lanyun Zhu, Tianrun Chen, Jianxiong Yin, Simon See, Jun Liu.|"Addressing Background Context Bias in Few-Shot Segmentation through Iterative Modulation".|IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (CCF A)
#17|Yizhen Zheng, Ming Jin, Shirui Pan*, Yuan-Fang Li, Hao Peng, Ming Li, Zhao Li.|"Toward Graph Self-Supervised Learning With Contrastive Adjusted Zooming".|IEEE Transactions on Neural Networks and Learning Systems(TNNLS), 2024. (JCR Q1)
#16|Luzhi Wang, Yizhen Zheng, Di Jin, Fuyi Li, Yongliang Qiao, Shirui Pan*.|"Contrastive Graph Similarity Networks".|ACM Transactions on the Web(TWEB), 2024. (JCR Q1)
#15|Xiaofeng Cao, Yaming Guo, Heng Tao Shen, Ivor W. Tsang, James T. Kwok.|"Mentored Learning: Improving Generalization and Convergence of Student Learner".|Journal of Machine Learning Research(JMLR), 2024. (CCF A)
#14|Bohao Qu, Xiaofeng Cao*, Yi Chang, Ivor W. Tsang, Yew-Soon Ong.|"Diversifying Policies With Non-Markov Dispersion to Expand the Solution Space".|IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI), 2024. (CCF A) (JCR Q1)
#13|Yu Wang, Liang Hu, Xiaofeng Cao*, Yi Chang, Ivor W. Tsang.|"Enhancing Locally Adaptive Smoothing of Graph Neural Networks Via Laplacian Node Disagreement".|IEEE Transactions on Knowledge and Data Engineering(TKDE), 2024. (CCF A) (JCR Q1)
#12|Xiaofeng Cao, Ivor W. Tsang.|"Distribution Matching for Machine Teaching".|IEEE Transactions on Neural Networks and Learning Systems(TNNLS), 2024. (JCR Q1)
#11|Mingwei Xu, Xiaofeng Cao*, Ivor Tsang.|"Sharpness-Aware Minimization Activates the Interactive Teaching's Understanding and Optimization".|The 38th Annual Conference on Neural Information Processing Systems(NeurIPS), 2024. (CCF A)
#10|Yadong Sun, Xiaofeng Cao*, Yu Wang, Wei Ye, Jingcai Guo, Qing Guo.|"Geometry Awakening: Cross-Geometry Learning Exhibits Superiority over Individual Structures".|The 38th Annual Conference on Neural Information Processing Systems(NeurIPS), 2024. (CCF A)
#9|Peng-Fei Zhang, Zi Huang, Xin-Shun Xu, Guangdong Bai.|"Effective and Robust Adversarial Training Against Data and Label Corruptions".|IEEE Transactions on Multimedia(TMM), 2024. (JCR Q1)
#8|Anjie Zhu, Peng-Fei Zhang*, Ruihong Qiu, Zetao Zheng, Zi Huang, Jie Shao.|"Abstract and Explore: A Novel Behavioral Metric with Cyclic Dynamics in Reinforcement Learning".|The 38th AAAI Conference on Artificial Intelligence(AAAI), 2024. (CCF A)
#7|Peng-Fei Zhang, Zi Huang, Guangdong Bai.|"Universal Adversarial Perturbations for Vision-Language Pre-trained Models".|The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval(SIGIR), 2024. (CCF A)
#6|Tianshi Wang, Fengling Li, Lei Zhu*, Jingjing Li, Zheng Zhang, Heng Tao Shen.|"Cross-Modal Retrieval: A Systematic Review of Methods and Future Directions".|Proceedings of the IEEE(JPROC), 2024. (JCR Q1)
#5|Dan Shi, Lei Zhu, Jingjing Li, Guohua Dong, Huaxiang Zhang.|"Incomplete Cross-Modal Retrieval with Deep Correlation Transfer".|ACM Transactions on Multimedia Computing, Communications, and Applications(TOMM), 2024. (JCR Q1)
#4|Duo Peng, Li Xu, Qiuhong Ke, Ping Hu, Jun Liu.|"Joint attribute and model generalization learning for privacy-preserving action recognition".|The 38th Annual Conference on Neural Information Processing Systems(NeurIPS), 2024. (CCF A)
#3|Duo Peng, Qiuhong Ke, Jun Liu.|"UPAM: Unified Prompt Attack in Text-to-Image Generation Models Against Both Textual Filters and Visual Checkers".|The 41st International Conference on Machine Learning(ICML), 2024. (CCF A)
#2|Yi Bin, Junrong Liao, Yujuan Ding, HaoXuan Li, Yang Yang, See-Kiong Ng, Heng Tao Shen.|"Leveraging Weak Cross-Modal Guidance for Coherence Modelling via Iterative Learning".|The 32nd ACM International Conference on Multimedia(ACM MM), 2024. (CCF A)
#1|Haoxuan Li, Zhengmao Yang, Yunshan Ma, Yi Bin*, Yang Yang, Tat-Seng Chua.|"MM-Forecast: A Multimodal Approach to Temporal Event Forecasting with Large Language Models".|The 32nd ACM International Conference on Multimedia(ACM MM), 2024. (CCF A)
