| 2026 | AAAI | AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection. | Bin-Bin Gao, Yue Zhou, Jiangtao Yan, Yuezhi Cai, Weixi Zhang, Meng Wang, Jun Liu, Yong Liu, Lei Wang, Chengjie Wang |
| 2026 | AAAI | From Detection to Diagnosis: Advancing Hallucination Analysis with Automated Data Synthesis. | Yanyi Liu, Qingwen Yang, Tiezheng Guo, Feiyu Qu, Jun Liu, Yingyou Wen |
| 2026 | AAAI | Exploring Category-level Articulated Object Pose Tracking on SE(3) Manifolds. | Xianhui Meng, Yukang Huo, Li Zhang, Liu Liu, Haonan Jiang, Yan Zhong, Pingrui Zhang, Cewu Lu, Jun Liu |
| 2026 | AAAI | MAPS: Multi-Agent Personality Shaping for Collaborative Reasoning. | Jian Zhang, Zhiyuan Wang, Zhangqi Wang, Fangzhi Xu, Qika Lin, Lingling Zhang, Rui Mao, Erik Cambria, Jun Liu |
| 2026 | AAAI | MARS: Multi-Agent Adaptive Reasoning with Socratic Guidance for Automated Prompt Optimization. | Jian Zhang, Zhangqi Wang, Haiping Zhu, Kangda Cheng, Kai He, Bo Li, Qika Lin, Jun Liu, Erik Cambria |
| 2026 | ACL | PhysPRM: A Generative Process Reward Model with Fine-grained Diagnosis for Physics Problem Solving. | Yuxuan Dong, Xinyu Zhang, Lingling Zhang, Han Lai, Pengyu Li, Bifan Wei, Yaqiang Wu, Jun Liu |
| 2026 | ACL | VideoStir: Understanding Long Videos via Spatio-Temporally Structured and Intent-Aware RAG. | Honghao Fu, Miao Xu, Yiwei Wang, Dailing Zhang, Jun Liu, Yujun Cai |
| 2026 | ACL | GeoLaux: A Benchmark for Evaluating MLLMs' Geometry Performance on Long-Step Problems Requiring Auxiliary Lines. | Yumeng Fu, Jiayin Zhu, Lingling Zhang, Wenjun Wu, Bo Zhao, Shaoxuan Ma, Yushun Zhang, Jun Liu |
| 2026 | ACL | Locomo-Plus: Beyond-Factual Cognitive Memory Evaluation Framework for LLM Agents. | Yifei Li, Weidong Guo, Lingling Zhang, Rongman Xu, Muye Huang, Hui Liu, Lijiao Xu, Yu Xu, Jun Liu |
| 2026 | ACL | AGTAO: Robust and Stabilized LLM Unlearning via Adversarial Gating Training with Adaptive Orthogonality. | Pengyu Li, Lingling Zhang, Zhitao Gao, Yanrui Wu, Yuxuan Dong, Huan Liu, Bifan Wei, Jun Liu |
| 2026 | ACL | MUR: Momentum Uncertainty guided Reasoning for Large Language Models. | Hang Yan, Fangzhi Xu, Rongman Xu, Yifei Li, Jian Zhang, Haoran Luo, Xiaobao Wu, Anh Tuan Luu, Haiteng Zhao, Qika Lin, Jun Liu |
| 2026 | ACL | MAXS: Meta-Adaptive Exploration with LLM Agents. | Jian Zhang, Zhiyuan Wang, Zhangqi Wang, Yu He, Haoran Luo, Li Yuan, Lingling Zhang, Rui Mao, Qika Lin, Jun Liu |
| 2026 | ACL | Dual-Cluster Memory Agent: Resolving Multi-Paradigm Ambiguity in Optimization Problem Solving. | Xinyu Zhang, Yuchen Wan, Boxuan Zhang, Zesheng Yang, Lingling Zhang, Bifan Wei, Jun Liu |
| 2026 | ACL | OptiVerse: A Comprehensive Benchmark towards Optimization Problem Solving. | Xinyu Zhang, Boxuan Zhang, Yuchen Wan, Lingling Zhang, YiXing Yao, Bifan Wei, Yaqiang Wu, Jun Liu |
| 2026 | ACNS | BI-ORAM: An Oblivious Bulk-Insertion Log Table. | Zhiqiang Wu, Jun Liu |
| 2026 | DATE | FAST: A Scalable Framework for Accelerating Flexible Structured Sparse Training. | Shuaiheng Li, Jun Liu, Xinhao Li, Yaoxiu Lian, Tianlang Zhao, Li Ding, Guohao Dai |
| 2026 | DATE | Endor: Exploit Nearly-Decode-Only Opportunities of LLM Reasoning on Near-Memory Architecture. | Jun Liu, Tianlang Zhao, Shiyi Liu, Jiancai Ye, Lin Li, Zhen Yu, Li Ding, Hao Zhou, Zhenhua Zhu, Xuefei Ning, Yuan Xie, Yu Wang, Guohao Dai |
| 2026 | INFOCOM | Seamless Inter-Constellation Sharing via Handover-Aware Space-Ground Association. | Zeqi Lai, Yunan Hou, Boxuan Hu, Qian Wu, Jun Liu, Rui Chen |
| 2026 | ISCAS | A 14-bit 4GS/s DAC Achieving 68dBc SFDR Up to 1.7GHz with Digital Pre-Distortion and Switching-Glitch Compensation in 28nm CMOS Process. | Junfeng Wang, Kejun Wu, Jun Liu, Shiteng Li, Qianfeng Zhang, Geyou Hu, Xin Duan, Zhen Yu, Ning Ning, Jing Li, Zhong Zhang, Qi Yu |
| 2026 | ISKE | Knowledge-Guided Evidential Reasoning for Trustworthy AI in Imbalanced Clinical Datasets. | Muhammad Asim Ali, Jun Liu, Samuel J. Moore, Omar Nibouche |
| 2026 | ISKE | Optimize Belief Rule Base Based on BackPropagation. | Xinlei Cao, Jun Liu, Bilal Ahmed Lodhi, Li Zou, Xin Liu |
| 2026 | ISKE | Bridging Causal Reasoning and Fuzzy Calibration for Trustworthy AI Risk Assessment. | Gareth McConomy, Jun Liu, David H. Glass, Raymond Bond, Holly Toner |
| 2026 | ISKE | Prover-Guided Correction for Natural Language to First-Order Logic Conversion. | Manyao Zhu, Guanfeng Wu, Jun Liu, Yang Xu |
| 2026 | IWCMC | QoE-Aware Parameter Tuning for Adaptive Bitrate Video Streaming in LEO Satellite Networks. | Yijie Liu, Zeqi Lai, Qian Wu, Hewu Li, Yuanjie Li, Jun Liu |
| 2026 | IWCMC | COPELEO: Enhancing Low Earth Orbit Satellite CDN through Collaborative Caching. | Yuyu Liu, Qian Wu, Zeqi Lai, Hewu Li, Yuanjie Li, Jun Liu |
| 2026 | IWQoS | StarRound: An Efficient Multiple Geographic Region-Avoidance Mechanism for High Dynamic LEO Satellite Networks. | Yuxuan Weng, Qian Wu, Zeqi Lai, Chenwei Gu, Hewu Li, Jihao Li, Qi Zhang, Weisen Liu, Jun Liu, Yuanjie Li |
| 2026 | WCNC | RAS: Reconfiguration-Aware Adaptive Video Streaming Over Satellite Networks. | Yijie Liu, Zeqi Lai, Qian Wu, Hewu Li, Yuanjie Li, Jun Liu |
| 2026 | WCNC | Channel-Aware OTA Diagnosis of a Defective Cluster in RIS via Noisy Twenty Questions. | Gesong Xia, Deyou Zhang, Jun Liu, Qingchao Li |
| 2026 | SIGIR | Exploring Knowledge Conflicts for Faithful LLM Reasoning: Benchmark and Method. | Tianzhe Zhao, Jiaoyan Chen, Shuxiu Zhang, Haiping Zhu, Qika Lin, Jun Liu |
| 2026 | SIGMETRICS | A Variegated Look at Direct-to-Cell Satellites in the Wild. | Wei Liu, Jingyi Lan, Yuanjie Li, Bowen Sun, Yekai Dong, Yufeng Wang, Hewu Li, Qian Wu, Zeqi Lai, Jun Liu |
| 2025 | AAAI | Global-Semantic Alignment Distillation for Partial Multi-view Classification. | Xiaoli Wang, Anqi Huang, Yongli Wang, Guanzhou Ke, Xiaobin Hong, Jun Liu |
| 2025 | AAAI | EvoChart: A Benchmark and a Self-Training Approach Towards Real-World Chart Understanding. | Muye Huang, Han Lai, Xinyu Zhang, Wenjun Wu, Jie Ma, Lingling Zhang, Jun Liu |
| 2025 | AAAI | VProChart: Answering Chart Question Through Visual Perception Alignment Agent and Programmatic Solution Reasoning. | Muye Huang, Lingling Zhang, Han Lai, Wenjun Wu, Xinyu Zhang, Jun Liu |
| 2025 | AAAI | RMath: A Logic Reasoning-Focused Datasets Toward Mathematical Multistep Reasoning Tasks. | Ziyi Hu, Jun Liu, Zhongzhi Liu, Yuzhong Liu, Zheng Xie, Yiping Song |
| 2025 | AAAI | Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment. | Jun Liu, Zhenglun Kong, Pu Zhao, Changdi Yang, Xuan Shen, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Xue Lin, Dong Huang, Yanzhi Wang |
| 2025 | AAAI | Debate on Graph: A Flexible and Reliable Reasoning Framework for Large Language Models. | Jie Ma, Zhitao Gao, Qi Chai, Wangchun Sun, Pinghui Wang, Hongbin Pei, Jing Tao, Lingyun Song, Jun Liu, Chen Zhang, Lizhen Cui |
| 2025 | AAAI | Hierarchical Alignment-enhanced Adaptive Grounding Network for Generalized Referring Expression Comprehension. | Yaxian Wang, Henghui Ding, Shuting He, Xudong Jiang, Bifan Wei, Jun Liu |
| 2025 | AAAI | VA-AR: Learning Velocity-Aware Action Representations with Mixture of Window Attention. | Jiangning Wei, Lixiong Qin, Bo Yu, Tianjian Zou, Chuhan Yan, Dandan Xiao, Yang Yu, Lan Yang, Ke Li, Jun Liu |
| 2025 | AAAI | Deconfound Semantic Shift and Incompleteness in Incremental Few-shot Semantic Segmentation. | Yirui Wu, Yuhang Xia, Hao Li, Lixin Yuan, Junyang Chen, Jun Liu, Tong Lu, Shaohua Wan |
| 2025 | ACL | GUICourse: From General Vision Language Model to Versatile GUI Agent. | Wentong Chen, Junbo Cui, Jinyi Hu, Yujia Qin, Junjie Fang, Yue Zhao, Chongyi Wang, Jun Liu, Guirong Chen, Yupeng Huo, Yuan Yao, Yankai Lin, Zhiyuan Liu, Maosong Sun |
| 2025 | ACL | φ-Decoding: Adaptive Foresight Sampling for Balanced Inference-Time Exploration and Exploitation. | Fangzhi Xu, Hang Yan, Chang Ma, Haiteng Zhao, Jun Liu, Qika Lin, Zhiyong Wu |
| 2025 | ACL | Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced Reasoning. | Fangzhi Xu, Hang Yan, Chang Ma, Haiteng Zhao, Qiushi Sun, Kanzhi Cheng, Junxian He, Jun Liu, Zhiyong Wu |
| 2025 | ACL | Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models. | Fangzhi Xu, Qiushi Sun, Kanzhi Cheng, Jun Liu, Yu Qiao, Zhiyong Wu |
| 2025 | ACL | PhysReason: A Comprehensive Benchmark towards Physics-Based Reasoning. | Xinyu Zhang, Yuxuan Dong, Yanrui Wu, Jiaxing Huang, Chengyou Jia, Basura Fernando, Mike Zheng Shou, Lingling Zhang, Jun Liu |
| 2025 | ASPDAC | ViDA: Video Diffusion Transformer Acceleration with Differential Approximation and Adaptive Dataflow. | Li Ding, Jun Liu, Shan Huang, Guohao Dai |
| 2025 | ASPDAC | A Computation and Energy Efficient Hardware Architecture for SSL Acceleration. | Huidong Ji, Sheng Li, Yue Cao, Chen Ding, Jiawei Xu, Qitao Tan, Jun Liu, Ao Li, Xulong Tang, Lirong Zheng, Geng Yuan, Zhuo Zou |
| 2025 | ASPDAC | Accelerator for LLM-Enhanced GNN with Product Quantization and Unified Indexing. | Jiaming Xu, Jinhao Li, Jun Liu, Hao Zhou, Guohao Dai |
| 2025 | CIKM | SG-Filter: Enhancing Similar Text Retrieval via Hierarchical Summarized-Semantic Index and Adaptive Filtering. | Jiancai Ye, Jun Liu, Haoyu Zhang, Maojia Sheng, Tao Yang, Jiaming Xu, Jinhao Li, Yu Wang, Guohao Dai |
| 2025 | CVPR | Exploring Visual Vulnerabilities via Multi-Loss Adversarial Search for Jailbreaking Vision-Language Models. | Shuyang Hao, Bryan Hooi, Jun Liu, Kai-Wei Chang, Zi Huang, Yujun Cai |
| 2025 | CVPR | An Image-like Diffusion Method for Human-Object Interaction Detection. | Xiaofei Hui, Haoxuan Qu, Hossein Rahmani, Jun Liu |
| 2025 | CVPR | Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation. | Ying Jin, Jinlong Peng, Qingdong He, Teng Hu, Jiafu Wu, Hao Chen, Haoxuan Wang, Wenbing Zhu, Mingmin Chi, Jun Liu, Yabiao Wang |
| 2025 | CVPR | LongDiff: Training-Free Long Video Generation in One Go. | Zhuoling Li, Hossein Rahmani, Qiuhong Ke, Jun Liu |
| 2025 | CVPR | CMMLoc: Advancing Text-to-PointCloud Localization with Cauchy-Mixture-Model Based Framework. | Yanlong Xu, Haoxuan Qu, Jun Liu, Wenxiao Zhang, Xun Yang |
| 2025 | CVPR | Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather. | Longyu Yang, Ping Hu, Shangbo Yuan, Lu Zhang, Jun Liu, Hengtao Shen, Xiaofeng Zhu |
| 2025 | CVPR | Convex Combination Star Shape Prior for Data-driven Image Semantic Segmentation. | Xinyu Zhao, Jun Xie, Shengzhe Chen, Jun Liu |
| 2025 | CVPR | POPEN: Preference-Based Optimization and Ensemble for LVLM-Based Reasoning Segmentation. | Lanyun Zhu, Tianrun Chen, Qianxiong Xu, Xuanyi Liu, Deyi Ji, Haiyang Wu, De Wen Soh, Jun Liu |
| 2025 | CVPR | IBD: Alleviating Hallucinations in Large Vision-Language Models via Image-Biased Decoding. | Lanyun Zhu, Deyi Ji, Tianrun Chen, Peng Xu, Jieping Ye, Jun Liu |
| 2025 | DAC | REMU: Memory-aware Radiation Emulation via Dual Addressing for In-orbit Deep Learning System. | Longnv Xu, Meiqi Wang, Han Qiu, Jun Liu, Yuanjie Li, Hewu Li |
| 2025 | DAC | Harnessing Conventional Video Processing Insights for Emerging 3D Video Generation Models: A Comprehensive Attention-aware Way. | Tianlang Zhao, Jun Liu, Xingyang Li, Li Ding, Jinhao Li, Shuaiheng Li, Jinbo Hu, Guohao Dai |
| 2025 | ECAI | AMCR: A Framework for Assessing and Mitigating Copyright Risks in Generative Models. | Zhipeng Yin, Zichong Wang, Avash Palikhe, Zhen Liu, Jun Liu, Wenbin Zhang |
| 2025 | EMNLP | Making Every Step Effective: Jailbreaking Large Vision-Language Models Through Hierarchical KV Equalization. | Shuyang Hao, Yiwei Wang, Bryan Hooi, Jun Liu, Muhao Chen, Zi Huang, Yujun Cai |
| 2025 | EMNLP | Diagram-Driven Course Questions Generation. | Xinyu Zhang, Lingling Zhang, Yanrui Wu, Muye Huang, Wenjun Wu, Bo Li, Shaowei Wang, Basura Fernando, Jun Liu |
| 2025 | EuroPar | Cocache: An Accurate and Low-Overhead Dynamic Caching Method for GNNs. | Zhaoyang Zeng, Yujuan Tan, Jiali Li, Zhuoxin Bai, Jun Liu, Kan Zhong, Duo Liu, Ao Ren |
| 2025 | FPGA | FlightVGM: Efficient Video Generation Model Inference with Online Sparsification and Hybrid Precision on FPGAs. | Jun Liu, Shulin Zeng, Li Ding, Widyadewi Soedarmadji, Hao Zhou, Zehao Wang, Jinhao Li, Jintao Li, Yadong Dai, Kairui Wen, Shan He, Yaqi Sun, Yu Wang, Guohao Dai |
| 2025 | GLOBECOM | Fair Multi-User Communication ISAC Waveform Design Under MIMO Radar SINR Constraints. | Yichen Zhang, Yiran Zhang, Jinfeng Hu, Kai Zhong, Jun Liu, Yuankai Wang, Hui-Yong Li, Cunhua Pan |
| 2025 | GLOBECOM | Satellite Maneuver-Aware TCP Congestion Control. | Wei Zhao, Junyi Li, Yuanjie Li, Hewu Li, Qian Wu, Zeqi Lai, Jun Liu |
| 2025 | HCI | Verifying Scientific Validity and Enhancing Response Motivation in Digital Human-Based Mental Health Assessment: A Mixed-Methods Study. | Chi-Cheng Lao, Litun Tan, Jing Liang, Ling Zeng, Zongze Li, Yitian Huang, Zi-Yi Guo, Yan-Dian Xu, Tianyang Tan, Xuetao Tian, Jun Liu, Keliang Chen |
| 2025 | HCI | Exploring Human-AI Interaction Perception Factors and Collaborative Trust in Library AI Digital Humans. | Jun Liu, Hongtao Wu, Binxin Hu, Xiaoling Yin |
| 2025 | HCI | Design of Stroke Rehabilitation Experience Services from the Perspective of Smart Healthcare. | Zihan Mei, Qimeng Mei, Jun Liu, Xiaohui Hou |
| 2025 | HPCA | TB-STC: Transposable Block-wise N: M Structured Sparse Tensor Core. | Jun Liu, Shulin Zeng, Junbo Zhao, Li Ding, Zeyu Wang, Jinhao Li, Zhenhua Zhu, Xuefei Ning, Chen Zhang, Yu Wang, Guohao Dai |
| 2025 | ICASSP | Semantic-oriented Visual Prompt Learning for Class Incremental Learning. | Shuai Guo, Yang Gu, Yuan Ma, Yingwei Zhang, Weining Weng, Jun Liu, Weiwei Dai, Yiqiang Chen |
| 2025 | ICASSP | Diffusion Models are Good Unsupervised Class-agnostic Shape Part Segmentators. | Zhongbin Jiang, Tianhao Shi, Hao Gao, Jun Liu, Ye Liu |
| 2025 | ICASSP | Hierarchical Relation Distillation for Efficient 3D Visual Grounding. | Jun Liu |
| 2025 | ICASSP | Ultra Lightweight Singing Melody Extraction via Combination of Convolution and MLP. | Jun Liu, Kangjie Dong, Qiubo Huang, Shuai Yu, Wei Li |
| 2025 | ICASSP | RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation. | Jun Liu, Zhenglun Kong, Peiyan Dong, Xuan Shen, Pu Zhao, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Xue Lin, Dong Huang, Yanzhi Wang |
| 2025 | ICCAD | Perturbation-efficient Zeroth-order Optimization for Hardware-friendly On-device Training. | Qitao Tan, Sung-En Chang, Rui Xia, Huidong Ji, Chence Yang, Ci Zhang, Jun Liu, Zheng Zhan, Zhenman Fang, Zhuo Zou, Yanzhi Wang, Jin Lu, Geng Yuan |
| 2025 | ICCD | DualSpar: A Dual-Granularity Memory Framework with Adaptive Sparsity for Efficient LLM Inference. | Yujuan Tan, Jiayi Guo, Zhuoxin Bai, Sanle Zhao, Yujiao Wang, Zongjie Wang, Ao Ren, Kan Zhong, Lin Huang, Jun Liu |
| 2025 | ICCV | Boundary Probing for Input Privacy Protection when Using LMM Services. | Xiaofei Hui, Haoxuan Qu, Ping Hu, Hossein Rahmani, Jun Liu |
| 2025 | ICCV | DiffIP: Representation Fingerprints for Robust IP Protection of Diffusion Models. | Zhuoling Li, Haoxuan Qu, Jason Kuen, Jiuxiang Gu, Qiuhong Ke, Jun Liu, Hossein Rahmani |
| 2025 | ICCV | Blind Noisy Image Deblurring Using Residual Guidance Strategy. | Heyan Liu, Jianing Sun, Jun Liu, Xi-Le Zhao, Tingting Wu, Tieyong Zeng |
| 2025 | ICCV | Hierarchical Divide-And-Conquer Grouping for Classification Adaptation of Pre-Trained Models. | Ziqian Lu, Yunlong Yu, Qinyue Tong, Jun Liu |
| 2025 | ICCV | Recognizing Actions From Robotic View for Natural Human-Robot Interaction. | Ziyi Wang, Peiming Li, Hong Liu, Zhichao Deng, Can Wang, Jun Liu, Junsong Yuan, Mengyuan Liu |
| 2025 | ICCV | Performing Defocus Deblurring by Modeling its Formation Process. | Zhengbo Zhang, Lin Geng Foo, Hossein Rahmani, Jun Liu, De Wen Soh |
| 2025 | ICDCS | Partitioning or Not? Hierarchical Task Offloading Optimization in Collaborative Satellite Edge Computing Networks. | Yan Chen, Haiquan Wang, Jun Liu, Xiaolin Jia, Jiejie Zhao, Han Qiu |
| 2025 | ICIG | Video 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 |
| 2025 | ICLR | Mutual Effort for Efficiency: A Similarity-based Token Pruning for Vision Transformers in Self-Supervised Learning. | Sheng Li, Qitao Tan, Yue Dai, Zhenglun Kong, Tianyu Wang, Jun Liu, Ao Li, Ninghao Liu, Yufei Ding, Xulong Tang, Geng Yuan |
| 2025 | ICLR | GaussianBlock: Building Part-Aware Compositional and Editable 3D Scene by Primitives and Gaussians. | Shuyi Jiang, Qihao Zhao, Hossein Rahmani, De Wen Soh, Jun Liu, Na Zhao |
| 2025 | ICML | Stray Intrusive Outliers-Based Feature Selection on Intra-Class Asymmetric Instance Distribution or Multiple High-Density Clusters. | Lixin Yuan, Yirui Wu, Wenxiao Zhang, Minglei Yuan, Jun Liu |
| 2025 | ICML | CPCF: A Cross-Prompt Contrastive Framework for Referring Multimodal Large Language Models. | Lanyun Zhu, Deyi Ji, Tianrun Chen, Haiyang Wu, De Wen Soh, Jun Liu |
| 2025 | ICONIP | Empowering Healthcare Time-Series Reasoning by Reinforcement Learning-Enhanced Large Language Models. | Jun Liu, Yang Gu |
| 2025 | ICONIP | FDW-YOLO: An Improved YOLOv12 for Oracle Bone Inscriptions Detection. | Rui Xiong, Jun Liu, Shulan Zhang, Zhiwu Liao |
| 2025 | ICPADS | Federated Fine-Tuning on Heterogeneous Devices with Adaptive Quantization and LoRA Depths. | Qianshu Wang, Yang Xu, Hongli Xu, Liusheng Huang, Yunming Liao, Jun Liu |
| 2025 | IJCAI | Metapath and Hypergraph Structure-based Multi-Channel Graph Contrastive Learning for Student Performance Prediction. | Lingyun Song, Xiaofan Sun, Xinbiao Gan, Yudai Pan, Xiaolin Han, Jie Ma, Jun Liu, Xuequn Shang |
| 2025 | IJCAI | fairGNN-WOD: Fair Graph Learning Without Complete Demographics. | Zichong Wang, Fang Liu, Shimei Pan, Jun Liu, Fahad Saeed, Meikang Qiu, Wenbin Zhang |
| 2025 | IJCAI | Diffuse&Refine: Intrinsic Knowledge Generation and Aggregation for Incremental Object Detection. | Jianzhou Wang, Yirui Wu, Lixin Yuan, Wenxiao Zhang, Jun Liu, Junyang Chen, Huan Wang, Wenhai Wang |
| 2025 | IJCAI | Cross-modal Collaborative Representation Learning for Text-to-Image Person Retrieval. | Shuanglin Yan, Jun Liu, Neng Dong, Liyan Zhang, Jinhui Tang |
| 2025 | IJCAI | FairSMOE: Mitigating Multi-Attribute Fairness Problem with Sparse Mixture-of-Experts. | Changdi Yang, Zheng Zhan, Ci Zhang, Yifan Gong, Yize Li, Zichong Meng, Jun Liu, Xuan Shen, Hao Tang, Geng Yuan, Pu Zhao, Xue Lin, Yanzhi Wang |
| 2025 | IJCNN | Uncertainty-guided boundary enhancement network for breast ultrasound image segmentation. | Rongsheng Fan, Jun Liu |
| 2025 | IJCNN | MS-DDNet: Efficient Multi-Scale Dual Decoder Network for Ultrasound Thyroid Nodule Segmentation. | Juan Wu, Jun Liu, Liping Ye |
| 2025 | IJCNN | Progressive Dynamic Adaptive Learning: An Effective Semi-Supervised Method for Histopathological Image Segmentation. | Pu Zhang, Jun Liu |
| 2025 | INFOCOM | NovaPlan: An Efficient Plan of Renting Ground Stations for Emerging LEO Satellite Networks. | Chenwei Gu, Qian Wu, Zeqi Lai, Hewu Li, Yuxuan Weng, Weisen Liu, Jihao Li, Jun Liu, Yuanjie Li |
| 2025 | IROS | STEAD: Spatio-Temporal Efficient Anomaly Detection for Time and Compute Sensitive Applications. | Andrew Gao, Jun Liu |
| 2025 | IROS | Throwing Planning Diffusion: A Solution to Learning and Planning of Robotic Throwing. | Ziqi Xu, Haodu Li, Lihao Liu, Jun Liu, Xuechao Duan |
| 2025 | KDD | Boosting Deep Vector Quantization with Progressive Distribution Transformation. | Weikang Wang, Xin Zhou, Jun Liu, Weifeng Zhang, Huan Yan |
| 2025 | KDD | SAGE: Scale-Aware Gradual Evolution for Continual Knowledge Graph Embedding. | Yifei Li, Lingling Zhang, Hang Yan, Tianzhe Zhao, Zihan Ma, Muye Huang, Jun Liu |
| 2025 | KDD | Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection. | Jun Liu, Chaoyun Zhang, Jiaxu Qian, Minghua Ma, Si Qin, Chetan Bansal, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang |
| 2025 | NAACL | ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis. | Zeao Tu, Xiangdi Meng, Yu He, Zihan Yao, Tianyu Qi, Jun Liu, Ming Li |
| 2025 | NDSS | Time-varying Bottleneck Links in LEO Satellite Networks: Identification, Exploits, and Countermeasures. | Yangtao Deng, Qian Wu, Zeqi Lai, Chenwei Gu, Hewu Li, Yuanjie Li, Jun Liu |
| 2025 | Networking | Constraint-Aware Probabilistic Packet Forwarding Based on Deep Reinforcement Learning. | Guocheng Lin, Yang Xiao, Jun Liu |
| 2025 | Networking | PVD-TD3: A Latency-Oriented Multi-Agent Reinforcement Learning Algorithm for Multipath Routing in DetNet. | Ying Yang, Yang Xiao, Jun Liu |
| 2025 | PRICAI | MeDRNet: A Knowledge-Augmented Multi-model Framework for Robust Medical Language Understanding. | Xue Long, Yao Zhao, Jun Liu |
| 2025 | SMC | ThyroSAM: Lightweight Mixed-Prompt Framework for Stable Thyroid Nodule Segmentation. | Zongjie Yang, Jun Liu, Jinshan Tang |
| 2025 | WWW | Logic-Aware Knowledge Graph Reasoning for Structural Sparsity under Large Language Model Supervision. | Yudai Pan, Jiajie Hong, Tianzhe Zhao, Lingyun Song, Jun Liu, Xuequn Shang |
| 2025 | WWW | Spache: Accelerating Ubiquitous Web Browsing via Schedule-Driven Space Caching. | Qi Zhang, Qian Wu, Zeqi Lai, Jihao Li, Hewu Li, Yuyu Liu, Yuanjie Li, Jun Liu |
| 2025 | SIGIR | GlFoMR: A Glance-then-Focus Multimodal Reasoning Framework for Diagram Question Answering. | Yaxian Wang, Bifan Wei, Jun Liu, Lingling Zhang, Shuting He, Jun Li, Qika Lin |
| 2025 | SIGIR | Rethinking Continual Knowledge Graph Embedding: Benchmarks and Analysis. | Tianzhe Zhao, Jiaoyan Chen, Yanchi Ru, Qika Lin, Yuxia Geng, Haiping Zhu, Yudai Pan, Jun Liu |
| 2025 | SIGCOMM | Direct-to-Cell Satellite Network without Satellite Navigation. | Wei Liu, Yuanjie Li, Jingyi Lan, Hewu Li, Yimei Chen, Lixin Liu, Jiabo Yang, Xi Long, Li Ouyang, Minghao Tang, Jianping Wu, Qian Wu, Jun Liu, Zeqi Lai |
| 2025 | SIGCOMM | LeoCC: Making Internet Congestion Control Robust to LEO Satellite Dynamics. | Zeqi Lai, Zonglun Li, Qian Wu, Hewu Li, Jihao Li, Xin Xie, Yuanjie Li, Jun Liu, Jianping Wu |
| 2025 | SIGCOMM | Small-scale LEO Satellite Networking for Global-scale Demands. | Yuanjie Li, Yimei Chen, Jiabo Yang, Jinyao Zhang, Bowen Sun, Lixin Liu, Hewu Li, Jianping Wu, Zeqi Lai, Qian Wu, Jun Liu |
| 2025 | SP | Mind the Location Leakage in LEO Direct-to-Cell Satellite Networks. | Weisen Liu, Zeqi Lai, Qian Wu, Hewu Li, Yuxuan Weng, Wei Liu, Qi Zhang, Jihao Li, Yuanjie Li, Jun Liu |
| 2024 | AAAI | Correlation Matching Transformation Transformers for UHD Image Restoration. | Cong Wang, Jinshan Pan, Wei Wang, Gang Fu, Siyuan Liang, Mengzhu Wang, Xiao-Ming Wu, Jun Liu |
| 2024 | AAAI | DifAttack: Query-Efficient Black-Box Adversarial Attack via Disentangled Feature Space. | Jun Liu, Jiantao Zhou, Jiandian Zeng, Jinyu Tian |
| 2024 | AAAI | MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous Driving. | Guangfeng Jiang, Jun Liu, Yuzhi Wu, Wenlong Liao, Tao He, Pai Peng |
| 2024 | AAAI | MatchDet: A Collaborative Framework for Image Matching and Object Detection. | Jinxiang Lai, Wenlong Wu, Bin-Bin Gao, Jun Liu, Jiawei Zhan, Congchong Nie, Yi Zeng, Chengjie Wang |
| 2024 | AAAI | LAFA: Multimodal Knowledge Graph Completion with Link Aware Fusion and Aggregation. | Bin Shang, Yinliang Zhao, Jun Liu, Di Wang |
| 2024 | AAAI | Mixed Geometry Message and Trainable Convolutional Attention Network for Knowledge Graph Completion. | Bin Shang, Yinliang Zhao, Jun Liu, Di Wang |
| 2024 | AAAI | Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection. | Hongquan Zhang, Bin-Bin Gao, Yi Zeng, Xudong Tian, Xin Tan, Zhizhong Zhang, Yanyun Qu, Jun Liu, Yuan Xie |
| 2024 | ACL | When Phrases Meet Probabilities: Enabling Open Relation Extraction with Cooperating Large Language Models. | Jiaxin Wang, Lingling Zhang, Wee Sun Lee, Yujie Zhong, Liwei Kang, Jun Liu |
| 2024 | ACL | PathReasoner: Modeling Reasoning Path with Equivalent Extension for Logical Question Answering. | Fangzhi Xu, Qika Lin, Tianzhe Zhao, Jiawei Han, Jun Liu |
| 2024 | ACL | Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models. | Fangzhi Xu, Zhiyong Wu, Qiushi Sun, Siyu Ren, Fei Yuan, Shuai Yuan, Qika Lin, Yu Qiao, Jun Liu |
| 2024 | CIKM | Information Retrieval Optimization for Non-Exemplar Class Incremental Learning. | Shuai Guo, Yang Gu, Yuan Ma, Yingwei Zhang, Weining Weng, Jun Liu, Weiwei Dai, Yiqiang Chen |
| 2024 | CNSM | Link2Link: A Robust Probabilistic Routing Algorithm via Edge-centric Graph Reinforcement Learning. | Jingli Zhou, Yuqian Song, Xinyuan Li, Wenli Zhou, Jun Liu |
| 2024 | COLING | A Semantic Mention Graph Augmented Model for Document-Level Event Argument Extraction. | Jian Zhang, Changlin Yang, Haiping Zhu, Qika Lin, Fangzhi Xu, Jun Liu |
| 2024 | CVPR | Referring Expression Counting. | Siyang Dai, Jun Liu, Ngai-Man Cheung |
| 2024 | CVPR | Action Detection via an Image Diffusion Process. | Lin Geng Foo, Tianjiao Li, Hossein Rahmani, Jun Liu |
| 2024 | CVPR | LLMs are Good Sign Language Translators. | Jia Gong, Lin Geng Foo, Yixuan He, Hossein Rahmani, Jun Liu |
| 2024 | CVPR | LEAD: Exploring Logit Space Evolution for Model Selection. | Zixuan Hu, Xiaotong Li, Shixiang Tang, Jun Liu, Yichun Hu, Ling-Yu Duan |
| 2024 | CVPR | LLMs are Good Action Recognizers. | Haoxuan Qu, Yujun Cai, Jun Liu |
| 2024 | CVPR | CoG-DQA: Chain-of-Guiding Learning with Large Language Models for Diagram Question Answering. | Shaowei Wang, Lingling Zhang, Longji Zhu, Tao Qin, Kim-Hui Yap, Xinyu Zhang, Jun Liu |
| 2024 | CVPR | E-GPS: Explainable Geometry Problem Solving via Top-Down Solver and Bottom-Up Generator. | Wenjun Wu, Lingling Zhang, Jun Liu, Xi Tang, Yaxian Wang, Shaowei Wang, Qianying Wang |
| 2024 | CVPR | 6D-Diff: A Keypoint Diffusion Framework for 6D Object Pose Estimation. | Li Xu, Haoxuan Qu, Yujun Cai, Jun Liu |
| 2024 | CVPR | LTGC: Long-Tail Recognition via Leveraging LLMs-Driven Generated Content. | Qihao Zhao, Yalun Dai, Hao Li, Wei Hu, Fan Zhang, Jun Liu |
| 2024 | CVPR | LLaFS: When Large Language Models Meet Few-Shot Segmentation. | Lanyun Zhu, Tianrun Chen, Deyi Ji, Jieping Ye, Jun Liu |
| 2024 | CVPR | Addressing Background Context Bias in Few-Shot Segmentation Through Iterative Modulation. | Lanyun Zhu, Tianrun Chen, Jianxiong Yin, Simon See, Jun Liu |
| 2024 | ECCV | Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation. | Guan Gui, Bin-Bin Gao, Jun Liu, Chengjie Wang, Yunsheng Wu |
| 2024 | ECCV | Learning to Unlearn for Robust Machine Unlearning. | Mark He Huang, Lin Geng Foo, Jun Liu |
| 2024 | ECCV | Class-Agnostic Object Counting with Text-to-Image Diffusion Model. | Xiaofei Hui, Qian Wu, Hossein Rahmani, Jun Liu |
| 2024 | ECCV | InstructGIE: Towards Generalizable Image Editing. | Zichong Meng, Changdi Yang, Jun Liu, Hao Tang, Pu Zhao, Yanzhi Wang |
| 2024 | ECCV | Harnessing Text-to-Image Diffusion Models for Category-Agnostic Pose Estimation. | Duo Peng, Zhengbo Zhang, Ping Hu, Qiuhong Ke, David K. Y. Yau, Jun Liu |
| 2024 | ECCV | SemTrack: A Large-Scale Dataset for Semantic Tracking in the Wild. | Pengfei Wang, Xiaofei Hui, Jing Wu, Zile Yang, Kian Eng Ong, Xinge Zhao, Beijia Lu, Dezhao Huang, Evan Ling, Weiling Chen, Keng Teck Ma, Minhoe Hur, Jun Liu |
| 2024 | ECCV | Diff-Tracker: Text-to-Image Diffusion Models are Unsupervised Trackers. | Zhengbo Zhang, Li Xu, Duo Peng, Hossein Rahmani, Jun Liu |
| 2024 | ECCV | LTRL: Boosting Long-Tail Recognition via Reflective Learning. | Qihao Zhao, Yalun Dai, Shen Lin, Wei Hu, Fan Zhang, Jun Liu |
| 2024 | ECCV | Towards Physical World Backdoor Attacks Against Skeleton Action Recognition. | Qichen Zheng, Yi Yu, Siyuan Yang, Jun Liu, Kwok-Yan Lam, Alex Chichung Kot |
| 2024 | EMNLP | QGEval: Benchmarking Multi-dimensional Evaluation for Question Generation. | Weiping Fu, Bifan Wei, Jianxiang Hu, Zhongmin Cai, Jun Liu |
| 2024 | FPGA | FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs. | Shulin Zeng, Jun Liu, Guohao Dai, Xinhao Yang, Tianyu Fu, Hongyi Wang, Wenheng Ma, Hanbo Sun, Shiyao Li, Zixiao Huang, Yadong Dai, Jintao Li, Zehao Wang, Ruoyu Zhang, Kairui Wen, Xuefei Ning, Yu Wang |
| 2024 | GLOBECOM | PPO-TEGN: Towards Robust Deep Reinforcement Learning-based Routing Algorithm. | Junze Li, Xinyuan Li, Ke Yu, Jun Liu |
| 2024 | GLOBECOM | Joint SIM Configuration and Power Allocation for Stacked Intelligent Metasurface-assisted MU-MISO Systems with TD3. | Xiaolei Yang, Jiayi Zhang, Enyu Shi, Ziheng Liu, Jun Liu, Kang Zheng, Bo Ai |
| 2024 | HOTNETS | Unraveling Physical Space Limits for LEO Network Scalability. | Yimei Chen, Lixin Liu, Yuanjie Li, Hewu Li, Qian Wu, Jun Liu, Zeqi Lai |
| 2024 | HOTNETS | Mind the Misleading Effects of LEO Mobility on End-to-End Congestion Control. | Zeqi Lai, Zonglun Li, Qian Wu, Hewu Li, Weisen Liu, Yijie Liu, Xin Xie, Yuanjie Li, Jun Liu |
| 2024 | ICANN | Unlearnable Examples Detection via Iterative Filtering. | Yi Yu, Qichen Zheng, Siyuan Yang, Wenhan Yang, Jun Liu, Shijian Lu, Yap-Peng Tan, Kwok-Yan Lam, Alex C. Kot |
| 2024 | ICASSP | DF-VTON: Dense Flow Guided Virtual Try-On Network. | Haoye Dong, Jun Liu, Dong Huang |
| 2024 | ICASSP | Mutualreg: Mutual Learning for Unsupervised Medical Image Registration. | Jun Liu, Wenyi Wang, Nuo Shen, Wei Wang, Kuanquan Wang, Qince Li, Yongfeng Yuan, Henggui Zhang, Gongning Luo |
| 2024 | ICASSP | A Scalable Sparse Transformer Model for Singing Melody Extraction. | Shuai Yu, Jun Liu, Yi Yu, Wei Li |
| 2024 | ICCAD | MARCA: Mamba Accelerator with Reconfigurable Architecture. | Jinhao Li, Shan Huang, Jiaming Xu, Jun Liu, Li Ding, Ningyi Xu, Guohao Dai |
| 2024 | ICCAD | Fast and Efficient 2-bit LLM Inference on GPU: 2/4/16-bit in a Weight Matrix with Asynchronous Dequantization. | Jinhao Li, Jiaming Xu, Shiyao Li, Shan Huang, Jun Liu, Yaoxiu Lian, Guohao Dai |
| 2024 | ICDE | Contrastive Graph Representations for Logical Formulas Embedding (Extended Abstract). | Qika Lin, Jun Liu, Lingling Zhang, Yudai Pan, Xin Hu, Fangzhi Xu, Hongwei Zeng |
| 2024 | ICML | Network Tight Community Detection. | Jiayi Deng, Xiaodong Yang, Jun Yu, Jun Liu, Zhaiming Shen, Danyang Huang, Huimin Cheng |
| 2024 | ICML | Physics-Informed Neural Network Policy Iteration: Algorithms, Convergence, and Verification. | Yiming Meng, Ruikun Zhou, Amartya Mukherjee, Maxwell Fitzsimmons, Christopher Song, Jun Liu |
| 2024 | ICML | UPAM: Unified Prompt Attack in Text-to-Image Generation Models Against Both Textual Filters and Visual Checkers. | Duo Peng, Qiuhong Ke, Jun Liu |
| 2024 | ICNP | STARVERI: Efficient and Accurate Verification for Risk-Avoidance Routing in Leo Satellite Networks. | Chenwei Gu, Qian Wu, Zeqi Lai, Hewu Li, Jihao Li, Weisen Liu, Qi Zhang, Jun Liu, Yuanjie Li |
| 2024 | IGARSS | Radar Resource Allocation for Tracking Target Capacity Maximization Via Manifold Optimization. | Zelin Yu, Yuankai Wang, Jun Liu, Xin Cheng, Jinfeng Hu, Kai Zhong, Huiyong Li |
| 2024 | IGARSS | Identifying Thermokarst Lakes on the Qinghai-Tibetan Plateau Using Remote Sensing Data. | Shaojie Zhao, Shaoyi Wu, Linna Chai, Jun Liu |
| 2024 | IGARSS | Influence of Different Building Conditions on Land Surface Temperature. | Zhipeng Zheng, Fengmin Wu, Chao Yuan, Xia Long, Jingze Li, Wenjie Dong, Bin Zhang, Jun Liu |
| 2024 | ICRA | Automated Non-invasive Analysis of Motile Sperms Using Cross-scale Guidance Network. | Wei Dai, Zixuan Wu, Jiaqi Wang, Rui Liu, Min Wang, Tianyi Wu, Junxian Zhou, Zhuoran Zhang, Jun Liu |
| 2024 | INFOCOM | Expediting Distributed GNN Training with Feature-only Partition and Optimized Communication Planning. | Bingqian Du, Jun Liu, Ziyue Luo, Chuan Wu, Qiankun Zhang, Hai Jin |
| 2024 | INFOCOM | Your Mega-Constellations Can Be Slim: A Cost-Effective Approach for Constructing Survivable and Performant LEO Satellite Networks. | Zeqi Lai, Yibo Wang, Hewu Li, Qian Wu, Qi Zhang, Yunan Hou, Jun Liu, Yuanjie Li |
| 2024 | INFOCOM | SkyCastle: Taming LEO Mobility to Facilitate Seamless and Low-latency Satellite Internet Services. | Jihao Li, Hewu Li, Zeqi Lai, Qian Wu, Weisen Liu, Xiaomo Wang, Yuanjie Li, Jun Liu, Qi Zhang |
| 2024 | INFOCOM | In-Orbit Processing or Not? Sunlight-Aware Task Scheduling for Energy-Efficient Space Edge Computing Networks. | Weisen Liu, Zeqi Lai, Qian Wu, Hewu Li, Qi Zhang, Zonglun Li, Yuanjie Li, Jun Liu |
| 2024 | IROS | LA-LIO: Robust Localizability-Aware LiDAR-Inertial Odometry for Challenging Scenes. | Junjie Huang, Yunzhou Zhang, Qingdong Xu, Song Wu, Jun Liu, Guiyuan Wang, Wei Liu |
| 2024 | IGARSS | MV-MOE: A Visual Mixture-of-Experts Model for Optical-SAR Image Matching. | Jingyi Cao, Yanan You, Jun Liu |
| 2024 | IGARSS | Codesign of Unimodular Waveform and Power Allocation for Polarimetric Radar. | Xin Cheng, Yuankai Wang, Jun Liu, Kai Zhong, Zelin Yu, Jinfeng Hu |
| 2024 | ISPA | A Continuous Verification Mechanism for Clients in Federated Unlearning to Defend the Right to be Forgotten. | Shanshan Chen, Jun Liu, Yuying Li, Yamin Li, Yang Yang, Gaoyang Liu, Chen Wang |
| 2024 | ISPA | A Contribution Assessment Method Based on Model Performance Gains in Federated Learning. | Zixuan Zhao, Jun Liu, Yuyin Li, Gaoyang Liu, Yamin Li, Yang Yang |
| 2024 | ISSRE | Fix the Tests: Augmenting LLMs to Repair Test Cases with Static Collector and Neural Reranker. | Jun Liu, Jiwei Yan, Yuanyuan Xie, Jun Yan, Jian Zhang |
| 2024 | KSEM | Programming Knowledge Tracing with Context and Structure Integration. | Xiaopeng Guo, Maojing Shu, Zhijie Huang, Jun Liu, Jun Sun |
| 2024 | MICCAI | Stealing Knowledge from Pre-trained Language Models for Federated Classifier Debiasing. | Meilu Zhu, Qiushi Yang, Zhifan Gao, Jun Liu, Yixuan Yuan |
| 2024 | MOBICOM | Stable Hierarchical Routing for Operational LEO Networks. | Yuanjie Li, Lixin Liu, Hewu Li, Wei Liu, Yimei Chen, Wei Zhao, Jianping Wu, Qian Wu, Jun Liu, Zeqi Lai |
| 2024 | NSDI | Democratizing Direct-to-Cell Low Earth Orbit Satellite Networks. | Lixin Liu, Yuanjie Li, Hewu Li, Jiabo Yang, Wei Liu, Jingyi Lan, Yufeng Wang, Jiarui Li, Jianping Wu, Qian Wu, Jun Liu, Zeqi Lai |
| 2024 | SMC | CC-Net: Consistency Learning Combined with Contrastive Learning for Kidney Ultrasound Segmentation. | Yang Luo, Jun Liu, Mengqian Ding |
| 2024 | SMC | DHCT-DT: Dual-branch Hybrid CNN-Transformer Combined with Dual-Teacher Semi-Supervised Network for Kidney Ultrasound Image Segmentation. | Yang Luo, Jun Liu, Mengqian Ding |
| 2024 | SMC | HCU-Net: An Efficient Fully Convolutional Neural Network for Thyroid Nodules Ultrasound Image Segmentation. | Mengxi Ren, Jun Liu |
| 2024 | WCNC | Hermes: Fast Semi-Asynchronous Federated Learning in LEO Constellations. | Yan Chen, Jun Liu, Jiejie Zhao, Guanjun Jiang, Haiquan Wang, Bowen Du |
| 2024 | WCNC | Research on Edge Server Deployment Strategy in LEO Mega-Constellation. | Erzhu Ding, Hewu Li, Jun Liu, Jihao Li, Qian Wu, Yuanjie Li, Zeqi Lai |
| 2024 | WWW | SatGuard: Concealing Endless and Bursty Packet Losses in LEO Satellite Networks for Delay-Sensitive Web Applications. | Jihao Li, Hewu Li, Zeqi Lai, Qian Wu, Yijie Liu, Qi Zhang, Yuanjie Li, Jun Liu |
| 2024 | WWW | A Symbolic Rule Integration Framework with Logic Transformer for Inductive Relation Prediction. | Yudai Pan, Jun Liu, Tianzhe Zhao, Lingling Zhang, Yun Lin, Jin Song Dong |
| 2024 | SIGIR | Untargeted Adversarial Attack on Knowledge Graph Embeddings. | Tianzhe Zhao, Jiaoyan Chen, Yanchi Ru, Qika Lin, Yuxia Geng, Jun Liu |
| 2024 | WACV | Physical-space Multi-body Mesh Detection Achieved by Local Alignment and Global Dense Learning. | Haoye Dong, Tiange Xiang, Sravan Chittupalli, Jun Liu, Dong Huang |
| 2024 | SP | The Dark Side of Scale: Insecurity of Direct-to-Cell Satellite Mega-Constellations. | Wei Liu, Yuanjie Li, Hewu Li, Yimei Chen, Yufeng Wang, Jingyi Lan, Jianping Wu, Qian Wu, Jun Liu, Zeqi Lai |
| 2023 | AAAI | GPTR: Gestalt-Perception Transformer for Diagram Object Detection. | Xin Hu, Lingling Zhang, Jun Liu, Jinfu Fan, Yang You, Yaqiang Wu |
| 2023 | AAAI | SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning. | Jinxiang Lai, Siqian Yang, Wenlong Wu, Tao Wu, Guannan Jiang, Xi Wang, Jun Liu, Bin-Bin Gao, Wei Zhang, Yuan Xie, Chengjie Wang |
| 2023 | ACL | TECHS: Temporal Logical Graph Networks for Explainable Extrapolation Reasoning. | Qika Lin, Jun Liu, Rui Mao, Fangzhi Xu, Erik Cambria |
| 2023 | ACL | Synthesize, Prompt and Transfer: Zero-shot Conversational Question Generation with Pre-trained Language Model. | Hongwei Zeng, Bifan Wei, Jun Liu, Weiping Fu |
| 2023 | CHI | Supporting Social Movements Through HCI and Design. | Adrian Petterson, Ashique Ali Thuppilikkat, Paridhi Gupta, Shamika Klassen, Margaret C. Jack, Jun Liu, Priyank Chandra |
| 2023 | CIKM | GBTTE: Graph Attention Network Based Bus Travel Time Estimation. | Yuecheng Rong, Juntao Yao, Jun Liu, Yifan Fang, Wei Luo, Hao Liu, Jie Ma, Zepeng Dan, Jinzhu Lin, Zhi Wu, Yan Zhang, Chuanming Zhang |
| 2023 | CNSM | Deep Reinforcement Learning Based Probabilistic Cognitive Routing: An Empirical Study with OMNeT++ and P4. | Yixing Wang, Yang Xiao, Yuqian Song, Jingli Zhou, Jun Liu |
| 2023 | CVPR | System-Status-Aware Adaptive Network for Online Streaming Video Understanding. | Lin Geng Foo, Jia Gong, Zhipeng Fan, Jun Liu |
| 2023 | CVPR | Unified Pose Sequence Modeling. | Lin Geng Foo, Tianjiao Li, Hossein Rahmani, Qiuhong Ke, Jun Liu |
| 2023 | CVPR | DiffPose: Toward More Reliable 3D Pose Estimation. | Jia Gong, Lin Geng Foo, Zhipeng Fan, Qiuhong Ke, Hossein Rahmani, Jun Liu |
| 2023 | CVPR | Token Boosting for Robust Self-Supervised Visual Transformer Pre-training. | Tianjiao Li, Lin Geng Foo, Ping Hu, Xindi Shang, Hossein Rahmani, Zehuan Yuan, Jun Liu |
| 2023 | CVPR | A Characteristic Function-Based Method for Bottom-Up Human Pose Estimation. | Haoxuan Qu, Yujun Cai, Lin Geng Foo, Ajay Kumar, Jun Liu |
| 2023 | CVPR | Bi-directional Feature Fusion Generative Adversarial Network for Ultra-high Resolution Pathological Image Virtual Re-staining. | Kexin Sun, Zhineng Chen, Gongwei Wang, Jun Liu, Xiongjun Ye, Yu-Gang Jiang |
| 2023 | CVPR | Uncertainty-Aware Unsupervised Image Deblurring with Deep Residual Prior. | Xiaole Tang, Xile Zhao, Jun Liu, Jianli Wang, Yuchun Miao, Tieyong Zeng |
| 2023 | CVPR | Meta Compositional Referring Expression Segmentation. | Li Xu, Mark He Huang, Xindi Shang, Zehuan Yuan, Ying Sun, Jun Liu |
| 2023 | CVPR | Rethinking Gradient Projection Continual Learning: Stability/Plasticity Feature Space Decoupling. | Zhen Zhao, Zhizhong Zhang, Xin Tan, Jun Liu, Yanyun Qu, Yuan Xie, Lizhuang Ma |
| 2023 | CVPR | Continual Semantic Segmentation with Automatic Memory Sample Selection. | Lanyun Zhu, Tianrun Chen, Jianxiong Yin, Simon See, Jun Liu |
| 2023 | DAC | Processing-In-Hierarchical-Memory Architecture for Billion-Scale Approximate Nearest Neighbor Search. | Zhenhua Zhu, Jun Liu, Guohao Dai, Shulin Zeng, Bing Li, Huazhong Yang, Yu Wang |
| 2023 | GLOBECOM | Deep Reinforcement Learning Based Dynamic Routing Optimization for Delay-Sensitive Applications. | Jiawei Chen, Yang Xiao, Guocheng Lin, Gang He, Fang Liu, Wenli Zhou, Jun Liu |
| 2023 | ICANN | Pacesetter Learning for Large Scale Cooperative Multi-Agent Reinforcement Learning. | Pingqi Zhou, Chao Li, Mengwei Qiu, Jun Liu, Chennan Ma, Ming Yan |
| 2023 | ICASSP | Optimal Mixed-ADC Arrangement for DOA Estimation Via CRB Using ULA. | Xinnan Zhang, Yuanbo Cheng, Xiaolei Shang, Jun Liu |
| 2023 | ICCAD | TSTC: Two-Level Sparsity Tensor Core Enabling both Algorithm Flexibility and Hardware Efficiency. | Jun Liu, Guohao Dai, Hao Xia, Lidong Guo, Xiangsheng Shi, Jiaming Xu, Huazhong Yang, Yu Wang |
| 2023 | ICCV | Distribution-Aligned Diffusion for Human Mesh Recovery. | Lin Geng Foo, Jia Gong, Hossein Rahmani, Jun Liu |
| 2023 | ICCV | STPrivacy: Spatio-Temporal Privacy-Preserving Action Recognition. | Ming Li, Xiangyu Xu, Hehe Fan, Pan Zhou, Jun Liu, Jia-Wei Liu, Jiahe Li, Jussi Keppo, Mike Zheng Shou, Shuicheng Yan |
| 2023 | ICCV | Heterogeneous Diversity Driven Active Learning for Multi-Object Tracking. | Rui Li, Baopeng Zhang, Jun Liu, Wei Liu, Jian Zhao, Zhu Teng |
| 2023 | ICCV | Chaotic World: A Large and Challenging Benchmark for Human Behavior Understanding in Chaotic Events. | Kian Eng Ong, Xun Long Ng, Yanchao Li, Wenjie Ai, Kuangyi Zhao, Si Yong Yeo, Jun Liu |
| 2023 | ICCV | Diffusion-based Image Translation with Label Guidance for Domain Adaptive Semantic Segmentation. | Duo Peng, Ping Hu, Qiuhong Ke, Jun Liu |
| 2023 | ICCV | Instance and Category Supervision are Alternate Learners for Continual Learning. | Xudong Tian, Zhizhong Zhang, Xin Tan, Jun Liu, Chengjie Wang, Yanyun Qu, Guannan Jiang, Yuan Xie |
| 2023 | ICCV | MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition. | Qihao Zhao, Chen Jiang, Wei Hu, Fan Zhang, Jun Liu |
| 2023 | ICCV | Learning Gabor Texture Features for Fine-Grained Recognition. | Lanyun Zhu, Tianrun Chen, Jianxiong Yin, Simon See, Jun Liu |
| 2023 | ICDE | Towards Understanding the Instability of Network Embedding (Extended Abstract). | Chenxu Wang, Wei Rao, Wenna Guo, Pinghui Wang, Jun Liu, Xiaohong Guan |
| 2023 | ICDM | Optimization and Improvement of Fake News Detection using Voting Technique for Societal Benefit. | Sribala Vidyadhari Chinta, Karen Fernandes, Ningxi Cheng, Jordan Fernandez, Shamim Yazdani, Zhipeng Yin, Zichong Wang, Xuyu Wang, Weifeng Xu, Jun Liu, Chong Siang Yew, Puqing Jiang, Wenbin Zhang |
| 2023 | ICLR | MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision Transformer. | Qihao Zhao, Yangyu Huang, Wei Hu, Fan Zhang, Jun Liu |
| 2023 | IJCAI | Diagram Visual Grounding: Learning to See with Gestalt-Perceptual Attention. | Xin Hu, Lingling Zhang, Jun Liu, Xinyu Zhang, Wenjun Wu, Qianying Wang |
| 2023 | IJCAI | Clustered-patch Element Connection for Few-shot Learning. | Jinxiang Lai, Siqian Yang, Junhong Zhou, Wenlong Wu, Xiaochen Chen, Jun Liu, Bin-Bin Gao, Chengjie Wang |
| 2023 | IJCNN | Pre-training A Prompt Pool for Vision-Language Model. | Jun Liu, Yang Gu, Zhaohua Yang, Shuai Guo, Huaqiu Liu, Yiqiang Chen |
| 2023 | INFOCOM | Achieving Resilient and Performance-Guaranteed Routing in Space-Terrestrial Integrated Networks. | Zeqi Lai, Hewu Li, Yikun Wang, Qian Wu, Yangtao Deng, Jun Liu, Yuanjie Li, Jianping Wu |
| 2023 | INFOCOM | Falcon: Towards Fast and Scalable Data Delivery for Emerging Earth Observation Constellations. | Mingyang Lyu, Qian Wu, Zeqi Lai, Hewu Li, Yuanjie Li, Jun Liu |
| 2023 | IGARSS | CloudLoc-NeRF: Point-cloud Assisted Volume Location for Neural Radiance Fields. | Jingyi Cao, Yanan You, Songzhi Gao, Jun Liu |
| 2023 | ISKE | $(\alpha,\beta)$ - Lock Resolution Method of Linguistic Truth- Valued Intuitionistic Fuzzy First-order Logic. | Nan Li, Yanling Wang, Yujie Cao, Martinez Carracedo Jorge, Lixian Xu, Jun Liu |
| 2023 | ISKE | Formal Modelling of the Multiple Trains Following Operation in Uncertain Environments. | Xia Wang, Yang Xu, Jun Liu, Guanfeng Wu, Shuwei Chen |
| 2023 | ISKE | Fault Diagnosis of Pumping Units Based on Extended-Fusion Machine Learning. | Lixian Xu, Rui Su, Aftab Ali, Jun Liu, Xinfeng Liu, Dehu Yu |
| 2023 | ISKE | Cumulative Belief Rule-Based Expert System for Multi-Resident Activity Recognition in Smart Home. | Long-Hao Yang, Yi-Xuan Lu, Peng-Peng Huang, Fei-Fei Ye, Hai-Dong Wu, Jun Liu |
| 2023 | IWCMC | User-Driven Flexible and Effective Link Connection Design for Mega-Constellation Satellite Networks. | Guojie Fan, Hewu Li, Jun Liu, Zeqi Lai, Qian Wu, Lu Lu, Shaowen Zheng |
| 2023 | IWQoS | Energy Drain Attack in Satellite Internet Constellations. | Yaoying Zhang, Qian Wu, Zeqi Lai, Yangtao Deng, Hewu Li, Yuanjie Li, Jun Liu |
| 2023 | KDD | B | Mengyue Liu, Yun Lin, Jun Liu, Bohao Liu, Qinghua Zheng, Jin Song Dong |
| 2023 | MICRO | DF-GAS: a Distributed FPGA-as-a-Service Architecture towards Billion-Scale Graph-based Approximate Nearest Neighbor Search. | Shulin Zeng, Zhenhua Zhu, Jun Liu, Haoyu Zhang, Guohao Dai, Zixuan Zhou, Shuangchen Li, Xuefei Ning, Yuan Xie, Huazhong Yang, Yu Wang |
| 2023 | MOBICOM | A Networking Perspective on Starlink's Self-Driving LEO Mega-Constellation. | Yuanjie Li, Hewu Li, Wei Liu, Lixin Liu, Wei Zhao, Yimei Chen, Jianping Wu, Qian Wu, Jun Liu, Zeqi Lai, Han Qiu |
| 2023 | NSDI | StarryNet: Empowering Researchers to Evaluate Futuristic Integrated Space and Terrestrial Networks. | Zeqi Lai, Hewu Li, Yangtao Deng, Qian Wu, Jun Liu, Yuanjie Li, Jihao Li, Lixin Liu, Weisen Liu, Jianping Wu |
| 2023 | PIMRC | GAPPO - A Graph Attention Reinforcement Learning based Robust Routing Algorithm. | Xinyuan Li, Yang Xiao, Sixu Liu, Xucong Lu, Fang Liu, Wenli Zhou, Jun Liu |
| 2023 | SMC | CPR-Net: A Novel Joint Learning Network for Pulmonary Nodule Evaluation. | Gong Chen, Jun Liu, Chen-Qian Li |
| 2023 | SIGIR | Relation-Aware Multi-Positive Contrastive Knowledge Graph Completion with Embedding Dimension Scaling. | Bin Shang, Yinliang Zhao, Di Wang, Jun Liu |
| 2023 | VCIP | CattleEyeView: A Multi-task Top-down View Cattle Dataset for Smarter Precision Livestock Farming. | Kian Eng Ong, Sivaji Retta, Ramarajulu Srinivasan, Shawn Tan, Jun Liu |
| 2022 | AAAI | REMOTE: Reinforced Motion Transformation Network for Semi-supervised 2D Pose Estimation in Videos. | Xianzheng Ma, Hossein Rahmani, Zhipeng Fan, Bin Yang, Jun Chen, Jun Liu |
| 2022 | APWEB | Incorporating Prior Type Information for Few-Shot Knowledge Graph Completion. | Siyu Yao, Tianzhe Zhao, Fangzhi Xu, Jun Liu |
| 2022 | COLT | On Almost Sure Convergence Rates of Stochastic Gradient Methods. | Jun Liu, Ye Yuan |
| 2022 | CVPR | Meta Agent Teaming Active Learning for Pose Estimation. | Jia Gong, Zhipeng Fan, Qiuhong Ke, Hossein Rahmani, Jun Liu |
| 2022 | CVPR | En-Compactness: Self-Distillation Embedding & Contrastive Generation for Generalized Zero-Shot Learning. | Xia Kong, Zuodong Gao, Xiaofan Li, Ming Hong, Jun Liu, Chengjie Wang, Yuan Xie, Yanyun Qu |
| 2022 | CVPR | NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. | Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoglu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gao, Dengwen Zhou, Qian Ning, Jingzhu Tang, Han Huang, Yufei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang |
| 2022 | CVPR | Animal Kingdom: A Large and Diverse Dataset for Animal Behavior Understanding. | Xun Long Ng, Kian Eng Ong, Qichen Zheng, Yun Ni, Si Yong Yeo, Jun Liu |
| 2022 | CVPR | Surface Representation for Point Clouds. | Haoxi Ran, Jun Liu, Chengjie Wang |
| 2022 | CVPR | Robust Image Forgery Detection over Online Social Network Shared Images. | Haiwei Wu, Jiantao Zhou, Jinyu Tian, Jun Liu |
| 2022 | ECCV | ERA: Expert Retrieval and Assembly for Early Action Prediction. | Lin Geng Foo, Tianjiao Li, Hossein Rahmani, Qiuhong Ke, Jun Liu |
| 2022 | ECCV | tSF: Transformer-Based Semantic Filter for Few-Shot Learning. | Jinxiang Lai, Siqian Yang, Wenlong Liu, Yi Zeng, Zhongyi Huang, Wenlong Wu, Jun Liu, Bin-Bin Gao, Chengjie Wang |
| 2022 | ECCV | Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action Recognition. | Tianjiao Li, Lin Geng Foo, Qiuhong Ke, Hossein Rahmani, Anran Wang, Jinghua Wang, Jun Liu |
| 2022 | ECCV | IGFormer: Interaction Graph Transformer for Skeleton-Based Human Interaction Recognition. | Yunsheng Pang, Qiuhong Ke, Hossein Rahmani, James Bailey, Jun Liu |
| 2022 | ECCV | GradAuto: Energy-Oriented Attack on Dynamic Neural Networks. | Jianhong Pan, Qichen Zheng, Zhipeng Fan, Hossein Rahmani, Qiuhong Ke, Jun Liu |
| 2022 | ECCV | Improving the Reliability for Confidence Estimation. | Haoxuan Qu, Yanchao Li, Lin Geng Foo, Jason Kuen, Jiuxiang Gu, Jun Liu |
| 2022 | ECCV | Meta Spatio-Temporal Debiasing for Video Scene Graph Generation. | Li Xu, Haoxuan Qu, Jason Kuen, Jiuxiang Gu, Jun Liu |
| 2022 | EMNLP | Inductive Relation Prediction with Logical Reasoning Using Contrastive Representations. | Yudai Pan, Jun Liu, Lingling Zhang, Tianzhe Zhao, Qika Lin, Xin Hu, Qianying Wang |
| 2022 | EMNLP | MatchPrompt: Prompt-based Open Relation Extraction with Semantic Consistency Guided Clustering. | Jiaxin Wang, Lingling Zhang, Jun Liu, Xi Liang, Yujie Zhong, Yaqiang Wu |
| 2022 | GLOBECOM | Environment-Aware Reinforcement Learning Based VANET Communications Against Jamming and Interference. | Zhiping Lin, Xiaohao Yan, Liang Xiao, Yan Shi, Yuliang Tang, Jun Liu |
| 2022 | GLOBECOM | Interference-Cancellation Transceiver Design for Long-Range Multistatic Backscatter Communications. | Jun Liu, Zhiyi Luo, Gang Yang, Ying-Chang Liang |
| 2022 | GLOBECOM | Enabling Ubiquitous and Efficient Data Delivery by LEO Satellites and Ground Station Networks. | Weisen Liu, Qian Wu, Zeqi Lai, Hewu Li, Yuanjie Li, Jun Liu |
| 2022 | ICASSP | Qrelation: an Agent Relation-Based Approach for Multi-Agent Reinforcement Learning Value Function Factorization. | Siqi Shen, Jun Liu, Mengwei Qiu, Weiquan Liu, Cheng Wang, Yongquan Fu, Qinglin Wang, Peng Qiao |
| 2022 | ICDE | Academic Expert Finding via $(k, \mathcal{P})$-Core based Embedding over Heterogeneous Graphs. | Xiaoliang Xu, Jun Liu, Yuxiang Wang, Xiangyu Ke |
| 2022 | ICLR | Uncertainty Modeling for Out-of-Distribution Generalization. | Xiaotong Li, Yongxing Dai, Yixiao Ge, Jun Liu, Ying Shan, Lingyu Duan |
| 2022 | ICPP | EasyView: Enabling and Scheduling Tensor Views in Deep Learning Compilers. | Lijuan Jiang, Ping Xu, Qianchao Zhu, Xiuhong Li, Shengen Yan, Xingcheng Zhang, Dahua Lin, Wenjing Ma, Zhouyang Li, Jun Liu, Jinming Ma, Minxi Jin, Chao Yang |
| 2022 | INFOCOM | Vision Aided Beam Tracking and Frequency Handoff for mmWave Communications. | Tengyu Zhang, Jun Liu, Feifei Gao |
| 2022 | IGARSS | Make Object Connect: A Pose Estimation Network for UAV Images of the Outdoor Scene. | Jingyi Cao, Yanan You, Le Xia, Jun Liu |
| 2022 | IWCMC | Systematic Utilization Analysis of Mega-Constellation Networks. | Zitong Lin, Hewu Li, Yuanjie Li, Jun Liu, Lixin Liu, Qi Zhang, Qian Wu, Zeqi Lai |
| 2022 | KDD | The Sixth International Workshop on Automation in Machine Learning. | Patrick Koch, Brett Wujek, Jun Liu, Jun Huan, Tao Wang |
| 2022 | MDM | Optimizing Graph-based Approximate Nearest Neighbor Search: Stronger and Smarter. | Jun Liu, Zhenhua Zhu, Jingbo Hu, Hanbo Sun, Li Liu, Lingzhi Liu, Guohao Dai, Huazhong Yang, Yu Wang |
| 2022 | MICCAI | Position-Prior Clustering-Based Self-attention Module for Knee Cartilage Segmentation. | Dong Liang, Jun Liu, Kuanquan Wang, Gongning Luo, Wei Wang, Shuo Li |
| 2022 | Networking | Inter-networking and Function Optimization for Mega-Constellations. | Zitong Lin, Hewu Li, Jun Liu, Zeqi Lai, Guojie Fan |
| 2022 | PIMRC | Attentive Dual-Head Spatial-Temporal Generative Adversarial Networks for Crowd Flow Generation. | Jianxue Li, Yang Xiao, Jiawei Wu, Yaozhi Chen, Jun Liu |
| 2022 | PIMRC | Deep Reinforcement Learning Enabled Energy-Efficient Resource Allocation in Energy Harvesting Aided V2X Communication. | Yuqian Song, Yang Xiao, Yaozhi Chen, Guanyu Li, Jun Liu |
| 2022 | SMC | Age estimation of Caenorhabditis elegans with label distribution learning. | Zi-Kang Zhao, Jun Liu, Jun-Ji Wang, Gong Chen, Chen-Qian Li, Zihao Zhao, Min Jiang |
| 2022 | WCNC | Opening the Black Box of Deep Neural Networks in Physical Layer Communication. | Jun Liu, Haitao Zhao, Dongtang Ma, Kai Mei, Jibo Wei |
| 2022 | WCNC | Deep Reinforcement Learning Based Beamforming for Throughput Maximization in Ultra-Dense Networks. | Huihan Yu, Yang Xiao, Jiawei Wu, Zilong He, Fang Liu, Jun Liu |
| 2022 | SIGIR | Incorporating Context Graph with Logical Reasoning for Inductive Relation Prediction. | Qika Lin, Jun Liu, Fangzhi Xu, Yudai Pan, Yifan Zhu, Lingling Zhang, Tianzhe Zhao |
| 2022 | SIGIR | Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning. | Fangzhi Xu, Jun Liu, Qika Lin, Yudai Pan, Lingling Zhang |
| 2022 | SIGCOMM | A case for stateless mobile core network functions in space. | Yuanjie Li, Hewu Li, Wei Liu, Lixin Liu, Yimei Chen, Jianping Wu, Qian Wu, Jun Liu, Zeqi Lai |
| 2021 | CEC | Optimal Train Speed Optimization under Several Safety Points by the PSO Algorithm. | Jun Liu, Tianyun Shi, Xiaoning Ma, Rui Xue, Min Liu |
| 2021 | CVPR | Person30K: A Dual-Meta Generalization Network for Person Re-Identification. | Yan Bai, Jile Jiao, Ce Wang, Jun Liu, Yihang Lou, Xuetao Feng, Ling-Yu Duan |
| 2021 | CVPR | Generalizable Person Re-Identification With Relevance-Aware Mixture of Experts. | Yongxing Dai, Xiaotong Li, Jun Liu, Zekun Tong, Ling-Yu Duan |
| 2021 | CVPR | UAV-Human: A Large Benchmark for Human Behavior Understanding With Unmanned Aerial Vehicles. | Tianjiao Li, Jun Liu, Wei Zhang, Yun Ni, Wenqian Wang, Zhiheng Li |
| 2021 | CVPR | Rank-One Prior: Toward Real-Time Scene Recovery. | Jun Liu, Ryan Wen Liu, Jianing Sun, Tieyong Zeng |
| 2021 | CVPR | Interventional Video Grounding With Dual Contrastive Learning. | Guoshun Nan, Rui Qiao, Yao Xiao, Jun Liu, Sicong Leng, Hao Zhang, Wei Lu |
| 2021 | CVPR | SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning Over Traffic Events. | Li Xu, He Huang, Jun Liu |
| 2021 | EACL | Analyzing the Forgetting Problem in Pretrain-Finetuning of Open-domain Dialogue Response Models. | Tianxing He, Jun Liu, Kyunghyun Cho, Myle Ott, Bing Liu, James R. Glass, Fuchun Peng |
| 2021 | EWSN | Condor: Mobile Golf Swing Tracking via Sensor Fusion using Conditional Generative Adversarial Networks. | Hong Jia, Jun Liu, Yuezhong Wu, Tomasz Bednarz, Lina Yao, Wen Hu |