| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 2021 | FPGA | 3M-AI: A Multi-task and Multi-core Virtualization Framework for Multi-FPGA AI Systems in the Cloud. | Shulin Zeng, Guohao Dai, Hanbo Sun, Jun Liu, Hongren Zheng, Yusong Wu, Fan Zhang, Xinhao Yang, Yi Cai, Yu Wang, Huazhong Yang |
| 2021 | GLOBECOM | Power Allocation for Device-to-Multi-Device Enabled HetNets: A Deep Reinforcement Learning Approach. | Yang Xiao, Jiawei Wu, Jun Liu |
| 2021 | HOTNETS | "Internet in Space" for Terrestrial Users via Cyber-Physical Convergence. | Yuanjie Li, Hewu Li, Lixin Liu, Wei Liu, Jiayi Liu, Jianping Wu, Qian Wu, Jun Liu, Zeqi Lai |
| 2021 | ICCV | A Unified 3D Human Motion Synthesis Model via Conditional Variational Auto-Encoder | Yujun Cai, Yiwei Wang, Yiheng Zhu, Tat-Jen Cham, Jianfei Cai, Junsong Yuan, Jun Liu, Chuanxia Zheng, Sijie Yan, Henghui Ding, Xiaohui Shen, Ding Liu, Nadia Magnenat-Thalmann |
| 2021 | ICCV | IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID. | Yongxing Dai, Jun Liu, Yifan Sun, Zekun Tong, Chi Zhang, Ling-Yu Duan |
| 2021 | ICCV | Interaction via Bi-directional Graph of Semantic Region Affinity for Scene Parsing. | Henghui Ding, Hui Zhang, Jun Liu, Jiaxin Li, Zijian Feng, Xudong Jiang |
| 2021 | ICCV | Motion Adaptive Pose Estimation from Compressed Videos. | Zhipeng Fan, Jun Liu, Yao Wang |
| 2021 | ICCV | Else-Net: Elastic Semantic Network for Continual Action Recognition from Skeleton Data. | Tianjiao Li, Qiuhong Ke, Hossein Rahmani, Rui En Ho, Henghui Ding, Jun Liu |
| 2020 | AAAI | D-SPIDER-SFO: A Decentralized Optimization Algorithm with Faster Convergence Rate for Nonconvex Problems. | Taoxing Pan, Jun Liu, Jie Wang |
| 2020 | CEC | An adaptive constraint-handling approach for optimization problems with expensive objective and constraints. | Jiaxiang Yi, Yuansheng Cheng, Jun Liu |
| 2020 | CVPR | ZSTAD: Zero-Shot Temporal Activity Detection. | Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Sen Wang, Zongyuan Ge, Alexander G. Hauptmann |
| 2020 | ECCV | Learning Progressive Joint Propagation for Human Motion Prediction. | Yujun Cai, Lin Huang, Yiwei Wang, Tat-Jen Cham, Jianfei Cai, Junsong Yuan, Jun Liu, Xu Yang, Yiheng Zhu, Xiaohui Shen, Ding Liu, Jing Liu, Nadia Magnenat-Thalmann |
| 2020 | ECCV | OID: Outlier Identifying and Discarding in Blind Image Deblurring. | Liang Chen, Faming Fang, Jiawei Zhang, Jun Liu, Guixu Zhang |
| 2020 | ECCV | Adaptive Computationally Efficient Network for Monocular 3D Hand Pose Estimation. | Zhipeng Fan, Jun Liu, Yao Wang |
| 2020 | ECCV | HARD-Net: Hardness-AwaRe Discrimination Network for 3D Early Activity Prediction. | Tianjiao Li, Jun Liu, Wei Zhang, Lingyu Duan |
| 2020 | ECCV | Collaborative Learning of Gesture Recognition and 3D Hand Pose Estimation with Multi-order Feature Analysis. | Siyuan Yang, Jun Liu, Shijian Lu, Meng Hwa Er, Alex C. Kot |
| 2020 | ICASSP | Anomaly Detection with Training Data in Hyperspectral Imagery. | Jun Liu, Yutong Feng, Weijian Liu, Danilo Orlando, Hongbin Li |
| 2020 | ICASSP | Cross-Stained Segmentation from Renal Biopsy Images Using Multi-Level Adversarial Learning. | Ke Mei, Chuang Zhu, Lei Jiang, Jun Liu, Yuanyuan Qiao |
| 2020 | ICASSP | Training ASR Models By Generation of Contextual Information. | Kritika Singh, Dmytro Okhonko, Jun Liu, Yongqiang Wang, Frank Zhang, Ross B. Girshick, Sergey Edunov, Fuchun Peng, Yatharth Saraf, Geoffrey Zweig, Abdelrahman Mohamed |
| 2019 | AAAI | Connecting Language to Images: A Progressive Attention-Guided Network for Simultaneous Image Captioning and Language Grounding. | Lingyun Song, Jun Liu, Buyue Qian, Yihe Chen |
| 2019 | AMIA | Longitudinal Satisfaction with Information for Breast Reconstruction Patients. | Krista M. Nicklaus, Mary Catherine Bordes, Jun Liu, Deepti Chopra, Gregory P. Reece, Summer E. Hanson, Mia K. Markey |
| 2019 | CEC | A Three-Stage Surrogate Model Assisted Multi-Objective Genetic Algorithm for Computationally Expensive Problems. | Puyu Jiang, Qi Zhou, Jun Liu, Yuansheng Cheng |
| 2019 | CIKM | BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer. | Fei Sun, Jun Liu, Jian Wu, Changhua Pei, Xiao Lin, Wenwu Ou, Peng Jiang |
| 2019 | CVPR | VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild. | Yihang Lou, Yan Bai, Jun Liu, Shiqi Wang, Lingyu Duan |
| 2019 | DASFAA | TF-Miner: Topic-Specific Facet Mining by Label Propagation. | Zhaotong Guo, Bifan Wei, Jun Liu, Bei Wu |
| 2019 | DASFAA | Leveraging Knowledge Graph Embeddings for Natural Language Question Answering. | Ruijie Wang, Meng Wang, Jun Liu, Weitong Chen, Michael Cochez, Stefan Decker |
| 2019 | DASFAA | Anomaly Detection in Time-Evolving Attributed Networks. | Luguo Xue, Minnan Luo, Zhen Peng, Jundong Li, Yan Chen, Jun Liu |
| 2019 | FPGA | A Deep Learning Inference Accelerator Based on Model Compression on FPGA. | Lu Jing, Jun Liu, FuHai Yu |
| 2019 | FUSION | SAR ATR by Decision Fusion of Multiple Random Convolution Features. | Yu Gu, Ying Xu, Jun Liu |
| 2019 | FUSION | A Square-root Version Distributed Nonlinear Filter Based on Information Consensus. | Jun Liu, Yu Liu, Kai Dong, Shun Sun, Ziran Ding, Qichao Li |
| 2019 | HPCC | Parallel k-Dominant Skyline Queries over Uncertain Data Streams with Capability Index. | Xiaoyong Li, Jun Liu, Kaijun Ren, Xiaoling Li, Xiaoli Ren, Kefeng Deng |
| 2019 | ICCV | Exploiting Spatial-Temporal Relationships for 3D Pose Estimation via Graph Convolutional Networks. | Yujun Cai, Liuhao Ge, Jun Liu, Jianfei Cai, Tat-Jen Cham, Junsong Yuan, Nadia Magnenat-Thalmann |
| 2018 | ACCV | Global Regularizer and Temporal-Aware Cross-Entropy for Skeleton-Based Early Action Recognition. | Qiuhong Ke, Jun Liu, Mohammed Bennamoun, Hossein Rahmani, Senjian An, Ferdous Sohel, Farid Boussad |
| 2018 | ACL | Sentence Suggestion of Japanese Functional Expressions for Chinese-speaking Learners. | Jun Liu, Hiroyuki Shindo, Yuji Matsumoto |
| 2018 | ADMA | Detecting Spammers with Changing Strategies via a Transfer Distance Learning Method. | Hao Chen, Jun Liu, Yanzhang Lv |
| 2018 | APWEB | AUnet: An Unsupervised Method for Answer Reliability Evaluation in Community QA Systems. | Ruoqing Ren, Haimeng Duan, Wenqiang Liu, Jun Liu |
| 2018 | CIS | Cloud Service Risk in the Smart Grid. | Liping Chen, Jun Liu, Weitao Ha |
| 2018 | CVPR | SSNet: Scale Selection Network for Online 3D Action Prediction. | Jun Liu, Amir Shahroudy, Gang Wang, Ling-Yu Duan, Alex C. Kot |
| 2018 | CVPR | Detecting Presentation Attacks From 3D Face Masks Under Multispectral Imaging. | Jun Liu, Ajay Kumar |
| 2018 | DEXA | Parallel n-of-N Skyline Queries over Uncertain Data Streams. | Jun Liu, Xiaoyong Li, Kaijun Ren, Junqiang Song, Zongshuo Zhang |
| 2018 | FUSION | Unscented Information Consensus Filter for Maneuvering Target Tracking Based on Interacting Multiple Model. | Ziran Ding, Yu Liu, Jun Liu, Shun Sun, Lin Qi |
| 2018 | GPC | Consulting and Forecasting Model of Tourist Dispute Based on LSTM Neural Network. | Yiren Du, Jun Liu, Shuoping Wang |
| 2018 | HCI | Status Effects on Attributions for Online Knowledge Sharing Failures: A Comparison Between Chinese and Korean Cultures. | Nan Qie, Pei-Luen Patrick Rau, Jun Liu |
| 2017 | ADMA | Quality Prediction of Newly Proposed Questions in CQA by Leveraging Weakly Supervised Learning. | Yuanhao Zheng, Bifan Wei, Jun Liu, Meng Wang, Weitong Chen, Bei Wu, Yihe Chen |
| 2017 | ArtsIT | In-Store Shopping Experience Enhancement: Designing a Physical Object-Recognition Interactive Renderer. | Jianze Li, Jun Liu, Stephen Jia Wang |
| 2017 | CEC | Modeling, analysis and simulation on searching for global optimum region of particle swarm optimization. | Jun Liu, Ping Li, Xiaoning Ma, Jiaxun Xie |
| 2017 | CVPR | Deep Level Sets for Salient Object Detection. | Ping Hu, Bing Shuai, Jun Liu, Gang Wang |
| 2017 | CVPR | Global Context-Aware Attention LSTM Networks for 3D Action Recognition. | Jun Liu, Gang Wang, Ping Hu, Ling-Yu Duan, Alex C. Kot |
| 2017 | DASFAA | DKG: An Expanded Knowledge Base for Online Course. | Haimeng Duan, Yuanhao Zheng, Lei Shi, Changhong Jin, Hongwei Zeng, Jun Liu |
| 2017 | FMICS | Sampling-Based Reactive Motion Planning with Temporal Logic Constraints and Imperfect State Information. | Felipe J. Montana, Jun Liu, Tony J. Dodd |
| 2017 | FMICS | Sampling-Based Path Planning for Multi-robot Systems with Co-Safe Linear Temporal Logic Specifications. | Felipe J. Montana, Jun Liu, Tony J. Dodd |
| 2017 | FPGA | GRT 2.0: An FPGA-based SDR Platform for Cognitive Radio Networks (Abstract Only). | Haoyang Wu, Tao Wang, Zhiwei Li, Boyan Ding, Xiaoguang Li, Tianfu Jiang, Jun Liu, Songwu Lu |
| 2017 | FUSION | Consensus algorithm for distributed state estimation in multi-clusters sensor network. | Yu Liu, Jun Liu, Congan Xu, Lin Qi, Shun Sun, Ziran Ding |
| 2017 | ICCSA | Theoretical Model of the Total Mass of Ejecta from Unmelted Metals. | Anmin He, Jun Liu, Jianli Shao, Pei Wang |
| 2016 | BigData | Research of Clouding Based Pulse Monitoring and Data Analysis Framework for Efficient Physical Training. | Hongliang Yuan, Jun Wang, Jun Liu, Shiliang Li |
| 2016 | CogSIMA | Generic application driven situation awareness via ontological situation recognition. | Ryan Pearson, Mark P. Donnelly, Jun Liu, Leo Galway |
| 2016 | CVPR | NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis. | Amir Shahroudy, Jun Liu, Tian-Tsong Ng, Gang Wang |
| 2016 | ECAI | Robust Real-Time Human Perception with Depth Camera. | Guyue Zhang, Luchao Tian, Ye Liu, Jun Liu, Xiang An Liu, Yang Liu, Yan Qiu Chen |
| 2016 | ECCV | Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition. | Jun Liu, Amir Shahroudy, Dong Xu, Gang Wang |
| 2016 | ICASSP | Performance analysis of a modified Rao test for adaptive subspace detection. | Jun Liu, Bo Chen, Hongwei Liu, Weijian Liu |
| 2016 | ICASSP | Reliably detecting humans with RGB-D camera with physical blob detector followed by learning-based filtering. | Guyue Zhang, Jun Liu, Luchao Tian, Yan Qiu Chen |
| 2016 | ICCS | Research of Zigbee and Big Data Analysis based Pulse Monitoring System for Efficient Physical Training. | Hongliang Yuan, Jun Wang, Jun Liu |
| 2015 | ASPDAC | Enhanced LCCG: A novel test clock generation scheme for faster-than-at-speed delay testing. | Songwei Pei, Ye Geng, Huawei Li, Jun Liu, Song Jin |
| 2015 | CEC | Optimal cloud storage problem in the distributed cloud data centers by the discrete PSO algorithm. | Jun Liu, Tianyun Shi, Ping Li |
| 2015 | DAC | Network footprint reduction through data access and computation placement in NoC-based manycores. | Jun Liu, Jagadish Kotra, Wei Ding, Mahmut T. Kandemir |
| 2015 | GLOBECOM | A Novel Method for Estimating the Relative Clock Offset between Skew-Free Clocks. | Jun Liu |
| 2015 | HCI | User Experience Research on the Rehabilitation System of Speech-Impaired Children - A Case Study on Speech Training Product. | Wenyi Cai, Jun Liu, Qiang Liu, Ting Han |
| 2015 | HPSR | SONAR: A scalable stream-oriented system for real-time network traffic measurements. | Jun Liu, Yutan Du, Jie Yang, Nirwan Ansari |
| 2015 | HSI | Toward a psychophysical-based procedural texture generation system for interactive design. | Xiaoxu Cai, Jun Liu, Lin Qi, Junyu Dong, Ying Gao, Hui Yu |
| 2015 | ICA3PP | Improved WOW Adaptive Image Steganography Method. | Xin Liao, Guoyong Chen, Qi Li, Jun Liu |
| 2015 | ICASSP | GLRT detection with unknown noise power in passive multistatic radar. | Jun Liu, Hongbin Li, Braham Himed |
| 2014 | CIKM | Faceted Exploring for Domain Knowledge over Linked Open Data. | Meng Wang, Jun Liu, Wenqiang Liu, Qinghua Zheng, Wei Zhang, Lingyun Song, Siyu Yao |
| 2014 | ECCV | Grading Tai Chi Performance in Competition with RGBD Sensors. | Hui Zhang, Haipeng Guo, Chaoyun Liang, Ximin Yan, Jun Liu, Jie Weng |
| 2014 | HCI | Culture and Student-Faculty Communication in Higher Education: Implications for the Design of Educational Communication Tools. | Jun Liu, Pei-Luen Patrick Rau, Bert Schulz |
| 2014 | HPCC | Voltage Island Aware Energy Efficient Scheduling of Real-Time Tasks on Multi-core Processors. | Jun Liu, Jinhua Guo |
| 2013 | EMSOFT | Pre-orders for reasoning about stability properties with respect to input of hybrid systems. | Pavithra Prabhakar, Jun Liu, Richard M. Murray |
| 2013 | HPCC | Analysis on Topic Map Oriented E-Learner Behavior and Study Efficiency. | Hongying Bao, Haiping Zhu, Jun Liu, Feng Tian, Yan Chen |
| 2013 | HPCC | A Grey-Based Rough Set Approach for Software Risk Prediction: A Case Study. | Jun Liu, Jianzhong Qiao |
| 2012 | CGO | Panacea: towards holistic optimization of MapReduce applications. | Jun Liu, Nishkam Ravi, Srimat T. Chakradhar, Mahmut T. Kandemir |
| 2011 | CGO | Neighborhood-aware data locality optimization for NoC-based multicores. | Mahmut T. Kandemir, Yuanrui Zhang, Jun Liu, Taylan Yemliha |
| 2011 | CGO | On-chip cache hierarchy-aware tile scheduling for multicore machines. | Jun Liu, Yuanrui Zhang, Wei Ding, Mahmut T. Kandemir |
| 2011 | CSCW | Different time management behaviors of Germans, Chinese and Japanese. | Pei-Luen Patrick Rau, Jun Liu, Stephan Verhasselt, Toshikazu Kato, Christopher M. Schlick |
| 2011 | CSCWD | Automatic term extraction from Chinese scientific texts. | Qinghua Zheng, Junying Luo, Jun Liu |
| 2011 | ECSQARU | Parameterized Uncertain Reasoning Approach Based on a Lattice-Valued Logic. | Shuwei Chen, Jun Liu, Hui Wang, Juan Carlos Augusto |
| 2011 | GLOBECOM | TSMU: A Time Synchronization Scheme for Mobile Underwater Sensor Networks. | Jun Liu, Zhaohui Wang, James Zheng Peng, Michael Zuba, Jun-Hong Cui, Shengli Zhou |
| 2011 | HPDC | Software-directed data access scheduling for reducing disk energy consumption. | Yuanrui Zhang, Jun Liu, Ellis Herbert Wilson, Mahmut T. Kandemir |
| 2011 | ICCAD | Optimizing data locality using array tiling. | Wei Ding, Yuanrui Zhang, Jun Liu, Mahmut T. Kandemir |
| 2010 | AAAI | Abstracting Markov Networks. | Lorenza Saitta, Christel Vrain, Zhaohui Wu, Lu Jiang, Qinghua Zheng, Jun Liu |
| 2010 | ADC | Optimizing XML data with view fragments. | Jun Liu, Mark Roantree, Zohra Bellahsene |
| 2010 | ASIACRYPT | A Byte-Based Guess and Determine Attack on SOSEMANUK. | Xiutao Feng, Jun Liu, Zhaocun Zhou, Chuankun Wu, Dengguo Feng |
| 2010 | CHI | Extended KLM for mobile phone interaction: a user study result. | Hui Li, Ying Liu, Jun Liu, Xia Wang, Yujiang Li, Pei-Luen Patrick Rau |
| 2010 | CHI | How socio-economic structure influences rural users' acceptance of mobile entertainment. | Jun Liu, Ying Liu, Pei-Luen Patrick Rau, Hui Li, Xia Wang, Dingjun Li |
| 2010 | ECCV | Face Liveness Detection from a Single Image with Sparse Low Rank Bilinear Discriminative Model. | Xiaoyang Tan, Yi Li, Jun Liu, Lin Jiang |
| 2010 | ECRTS | Power Saving Design for Servers under Response Time Constraint. | Shengquan Wang, Jian-Jia Chen, Jun Liu, Xue Liu |
| 2010 | ER | A SchemaGuide for Accelerating the View Adaptation Process. | Jun Liu, Mark Roantree, Zohra Bellahsene |
| 2010 | ER | Provenance Management in BioSciences. | Sudha Ram, Jun Liu |
| 2010 | EuroPar | Scalable Parallelization Strategies to Accelerate NuFFT Data Translation on Multicores. | Yuanrui Zhang, Jun Liu, Emre Kultursay, Mahmut T. Kandemir, Nikos Pitsianis, Xiaobai Sun |
| 2010 | GLOBECOM | Mobi-Sync: Efficient Time Synchronization for Mobile Underwater Sensor Networks. | Jun Liu, Robert Zhong Zhou, James Peng Zheng, Jun-Hong Cui |
| 2010 | HAIS | Untitled record | Xingxing He, Yang Xu, Yingfang Li, Jun Liu, Luis Martnez-Lpez, Da Ruan |
| 2010 | HAIS | On Compactness and Consistency in Finite Lattice-Valued Propositional Logic. | Xiaodong Pan, Yang Xu, Luis Martnez-Lpez, Da Ruan, Jun Liu |
| 2010 | ICAISC | Imputing Missing Values in Nuclear Safeguards Evaluation by a 2-Tuple Computational Model. | Rosa M. Rodrguez, Da Ruan, Jun Liu, Alberto Calzada, Luis Martnez-Lpez |
| 2009 | ADMA | Semi-supervised Discriminant Analysis Based on Dependence Estimation. | Xiaoming Liu, Jinshan Tang, Jun Liu, Zhilin Feng, Zhaohui Wang |
| 2009 | CAIP | Colorization Using Segmentation with Random Walk. | Xiaoming Liu, Jun Liu, Zhilin Feng |
| 2009 | CSCWD | ETM Toolkit: A development tool based on Extended Topic Map. | Lu Jiang, Jun Liu, Zhaohui Wu, Qinghua Zheng, Ya-nan Qian |
| 2009 | CSCWD | A collaborative knowledge construction system design for massive knowledge resources. | Qinghua Zheng, Zhaohui Wu, Lu Jiang, Jun Liu |
| 2009 | EUSFLAT | A Multi-granular Linguistic Promethee Model. | Nesrin Halouani, Luis Martnez-Lpez, Habib Chabchoub, Jean-Marc Martel, Jun Liu |
| 2009 | GECCO | An immune co-evolutionary algorithm based approach for optimization control of gas turbine. | Xiangfeng Zhang, Jun Liu, Yongsheng Ding |
| 2009 | GRC | Exploiting various information for knowledge element relation recognition. | Wei Wang, Qinghua Zheng, Jun Liu, Yingying Chen, Pengfei Tang |
| 2009 | HCI | Acceptance of Mobile Entertainment by Chinese Rural People. | Jun Liu, Ying Liu, Hui Li, Dingjun Li, Pei-Luen Patrick Rau |
| 2009 | HIS | A Novel Adaptive PSO Algorithm on Schaffer's F6 Function. | Xiaohong Qiu, Jun Liu |
| 2009 | HPCC | A Parallel Refined Block Arnoldi Algorithm for Large Unsymmetric Matrices. | Tao Zhao, Xuebin Chi, Jinrong Jiang, Jun Liu, Zhonghua Lu |
| 2008 | CW | A Novel Security Protocol to Protect Mobile Agent against Colluded Truncation Attack by Cooperation. | Silei Lei, Rui Zhang, Jun Liu, Junmo Xiao |
| 2008 | GLOBECOM | Closed-Loop Modeling of the Frame Collision Probability under the IEEE 802.11b DCF. | Jun Liu |
| 2008 | ICCCN | Weighted-Fairness AIMD Congestion Control for Streaming Media Delivery. | Jun Liu |
| 2008 | ICCCN | Calculating the Frame Collision Probability under IEEE 802.11b DCF. | Jun Liu |
| 2007 | AINA | A Password-Based Authentication and Key Establishment Scheme for Mobile Environment. | Jun Liu, Jianxin Liao, Xiaomin Zhu |
| 2007 | Broadnets | SMART: A selective controlled-flooding routing for delay tolerant networks. | Lei Tang, Qunwei Zheng, Jun Liu, Xiaoyan Hong |
| 2007 | CIS | Research of Software Reliability Based on Synthetic Architecture. | Jun Wang, Jun Liu, Weiru Chen |
| 2007 | DEXA | Wavelet Synopsis: Setting Unselected Coefficients to Zero Is Not Optimal. | Chong Sun, Yansheng Lu, Chong Zhou, Jun Liu |
| 2007 | GLOBECOM | A Secure Data Transmission Scheme for Mobile Ad Hoc Networks. | Qunwei Zheng, Xiaoyan Hong, Jun Liu, Lei Tang |
| 2007 | GRC | Syntactic Information Retrieval. | Chang Liu, Hui Wang, Sally I. McClean, Jun Liu, Shengli Wu |
| 2007 | ICASSP | Joint 2-D DOA Tracking for Multiple Moving Targets using Adaptive Frequency Estimation. | Jun Liu, Xiangqian Liu |
| 2006 | CSCWD | A Method for User Behavior Modeling Based on Web Page Metadata. | Jun Liu, Qinghua Zheng, Franky Chan |
| 2006 | ECCV | Spatial Segmentation of Temporal Texture Using Mixture Linear Models. | Lee Cooper, Jun Liu, Kun Huang |
| 2006 | ER | Understanding the Semantics of Data Provenance to Support Active Conceptual Modeling. | Sudha Ram, Jun Liu |
| 2006 | ICARCV | Viability Decision of Complex Stochastic System. | Jinyu Wang, Jun Liu, Dan Bi |
| 2006 | ICCSA | Design and Implementation of an Ontology Algorithm for Web Documents Classification. | Guiyi Wei, Jun Yu, Yun Ling, Jun Liu |
| 2005 | EUSFLAT | Cost Estimations for Large Scale Engineering Projects under Uncertainties. | Da Ruan, Dirk Maes, Hamid Ait, Jun Liu, Ling Xu, Jian-Bo Yang |
| 2005 | GRC | A lattice-valued linguistic-based decision making method. | Jun Liu, Yang Xu, Da Ruan, Luis Martnez-Lpez |
| 2005 | IBPRIA | Removing Shadows from Face Images Using ICA. | Jun Liu, Xiangsheng Huang, Yangsheng Wang |
| 2005 | ICASSP | Steganalysis of binary text images. | Jun Cheng, Alex C. Kot, Jun Liu, Hong Cao |
| 2004 | COMPSAC | Study on Performance of IP-SWAN Based on Distributed NS-RAID. | Baojiang Cui, Jun Liu, Gang Wang, Jing Liu |
| 1998 | AI | A Hybrid Convergent Method for Learning Probabilistic Networks. | Jun Liu, Kuo-Chu Chang, Jing Zhou |