| 2026 | AAAI | Human-Centric Video Generation via Collaborative Multi-Modal Conditioning. | Liyang Chen, Tianxiang Ma, Jiawei Liu, Bingchuan Li, Zhuowei Chen, Lijie Liu, Xu He, Gen Li, Qian He, Zhiyong Wu |
| 2026 | AAAI | Unleashing the Potential of Large Language Models for Text-to-Image Generation Through Autoregressive Representation Alignment. | Xing Xie, Jiawei Liu, Ziyue Lin, Huijie Fan, Zhi Han, Yandong Tang, Liangqiong Qu |
| 2026 | ACL | EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning. | Jiawei Liu, Qisi Chen, Jianshu Zhang, Quan Liu, Defu Lian |
| 2026 | ACL | From Language to Driving: A Dual-Loop SLM-Enhanced Framework for Multi-Planner Scheduling via a Domain-Specific Language. | Jiawei Liu, Xun Gong, Muli Yang, Xingrui Yu, Fen Fang, Xulei Yang, Ivor W. Tsang, Yunfeng Hu, Hong Chen, Qing Guo |
| 2026 | ACL | From Isolated Scoring to Collaborative Ranking: A Comparison-Native Framework for LLM-Based Paper Evaluation. | Pujun Zheng, Jiacheng Yao, Jinquan Zheng, Chenyang Gu, Guoxiu He, Jiawei Liu, Yong Huang, Tianrui Guo, Wei Lu |
| 2026 | DATE | Smart-PCLib: A LLM-based Multi-Agent Framework for Automated PCB Component Library Generation. | Zhaohai Di, Jindong Tu, Zhiyuan He, Yuan Pu, Jiawei Liu, Chong Tong, Tsung-Yi Ho, Bei Yu, Tinghuan Chen |
| 2026 | WWW | Navigating Truth in Multimodal Fact-checking via Retrieval- and Reasoning-Enhanced Large Language Models. | Fanrui Zhang, Qiang Zhang, Jianwen Sun, Chuanhao Li, Jiaxin Ai, Yukang Feng, Zizhen Li, Kaipeng Zhang, Jiawei Liu, Zheng-Jun Zha |
| 2026 | WWW | Meteor: High-Performance Control Message Delivery for Large-Scale Clouds. | Gongming Zhao, Baoqing Wang, Min Chen, Hongli Xu, Jiawei Liu, Xuwei Yang, Liguang Xie, Yongqiang Yang, Ying Xiong |
| 2026 | SIGCOMM | Rethinking Cloud Optimization: Volatility-Driven for Better Outcomes. | Baoqing Wang, Gongming Zhao, Hongli Xu, Shibo Wu, Zhuolong Yu, Jiawei Liu, Junhong Lu, Shaohui Xu, Fanjie Meng |
| 2025 | AAAI | Reducing AUV Energy Consumption Through Dynamic Sensor Directions Switching via Deep Reinforcement Learning. | Jiawei Liu, Yuanbo Xu, Shanshan Song, Lu Jiang |
| 2025 | AAAI | BearLLM: A Prior Knowledge-Enhanced Bearing Health Management Framework with Unified Vibration Signal Representation. | Haotian Peng, Jiawei Liu, Jinsong Du, Jie Gao, Wei Wang |
| 2025 | AAAI | Interweaving Memories of a Siamese Large Language Model. | Xin Song, Zhikai Xue, Guoxiu He, Jiawei Liu, Wei Lu |
| 2025 | AAAI | HOIMamba: Efficient Mamba-based Disentangled Progressive Learning for HOI Detection. | Yongchao Xu, Jiawei Liu, Sen Tao, Qiang Zhang, Zheng-Jun Zha |
| 2025 | ASPLOS | Relax: Composable Abstractions for End-to-End Dynamic Machine Learning. | Ruihang Lai, Junru Shao, Siyuan Feng, Steven Lyubomirsky, Bohan Hou, Wuwei Lin, Zihao Ye, Hongyi Jin, Yuchen Jin, Jiawei Liu, Lesheng Jin, Yaxing Cai, Ziheng Jiang, Yong Wu, Sunghyun Park, Prakalp Srivastava, Jared Roesch, Todd C. Mowry, Tianqi Chen |
| 2025 | CCS | FlippedRAG: Black-Box Opinion Manipulation Adversarial Attacks to Retrieval-Augmented Generation Models. | Zhuo Chen, Yuyang Gong, Jiawei Liu, Miaokun Chen, Haotan Liu, Qikai Cheng, Fan Zhang, Wei Lu, Xiaozhong Liu |
| 2025 | CVPR | Benchmarking Large Vision-Language Models via Directed Scene Graph for Comprehensive Image Captioning. | Fan Lu, Wei Wu, Kecheng Zheng, Shuailei Ma, Biao Gong, Jiawei Liu, Wei Zhai, Yang Cao, Yujun Shen, Zheng-Jun Zha |
| 2025 | CVPR | Mask^2DiT: Dual Mask-based Diffusion Transformer for Multi-Scene Long Video Generation. | Tianhao Qi, Jianlong Yuan, Wanquan Feng, Shancheng Fang, Jiawei Liu, SiYu Zhou, Qian He, Hongtao Xie, Yongdong Zhang |
| 2025 | CVPR | AR-Diffusion: Asynchronous Video Generation with Auto-Regressive Diffusion. | Mingzhen Sun, Weining Wang, Gen Li, Jiawei Liu, Jiahui Sun, Wanquan Feng, Shanshan Lao, SiYu Zhou, Qian He, Jing Liu |
| 2025 | CVPR | Hierarchical Knowledge Prompt Tuning for Multi-task Test-Time Adaptation. | Qiang Zhang, Mengsheng Zhao, Jiawei Liu, Fanrui Zhang, Yongchao Xu, Zheng-Jun Zha |
| 2025 | DAC | IRGNN: A Graph-based Framework Integrating Numerical Solution and Point Cloud for Static IR Drop Prediction. | Feng Guo, Yueyue Xi, Jianwang Zhai, Jingyu Jia, Jiawei Liu, Kang Zhao, Chuan Shi |
| 2025 | DATE | IR-Fusion: A Fusion Framework for Static IR Drop Analysis Combining Numerical Solution and Machine Learning. | Feng Guo, Jianwang Zhai, Jingyu Jia, Jiawei Liu, Kang Zhao, Bei Yu, Chuan Shi |
| 2025 | DATE | WideGate: Beyond Directed Acyclic Graph Learning in Subcircuit Boundary Prediction. | Jiawei Liu, Zhiyan Liu, Xun He, Jianwang Zhai, Zhengyuan Shi, Qiang Xu, Bei Yu, Chuan Shi |
| 2025 | EMNLP | Chain-of-Thought Prompting Obscures Hallucination Cues in Large Language Models: An Empirical Evaluation. | Jiahao Cheng, Tiancheng Su, Jia Yuan, Guoxiu He, Jiawei Liu, Xinqi Tao, Jingwen Xie, Huaxia Li |
| 2025 | HCI | Research on the Design of Innovative Children′s Interactive Camper Based on the Double-Diamond Modeling Process. | Qi An, Jiawei Liu, Xiaofan Sun |
| 2025 | ICA3PP | Fossil: A Cost-Effective and Fault-Tolerant Task Placement Scheme for Geo-Distributed Clouds. | Chun Huang, Gongming Zhao, Baoqing Wang, Jiawei Liu, Hongli Xu, Gangyi Luo, Chu Xu |
| 2025 | ICCAD | Transferable Parasitic Estimation via Graph Contrastive Learning and Label Rebalancing in AMS Circuits. | Shan Shen, Shenglu Hua, Jiajun Zou, Jiawei Liu, Jianwang Zhai, Chuan Shi, Wenjian Yu |
| 2025 | ICCCN | Network Resource-Aware Multi-Job Deployment in Deep Learning Clusters. | Ai Zhong, Gongming Zhao, Hongli Xu, Jin Fang, Jiawei Liu, Peng Yang |
| 2025 | ICCV | I2VControl: Disentangled and Unified Video Motion Synthesis Control. | Wanquan Feng, Tianhao Qi, Jiawei Liu, Mingzhen Sun, Pengqi Tu, Tianxiang Ma, Fei Dai, Songtao Zhao, SiYu Zhou, Qian He |
| 2025 | ICCV | Phantom: Subject-Consistent Video Generation via Cross-Modal Alignment. | Lijie Liu, Tianxiang Ma, Bingchuan Li, Zhuowei Chen, Jiawei Liu, Gen Li, Siyu Zhou, Qian He, Xinglong Wu |
| 2025 | ICDE | GraphPrompter: Multi-Stage Adaptive Prompt Optimization for Graph In-Context Learning. | Rui Lv, Zaixi Zhang, Kai Zhang, Qi Liu, Weibo Gao, Jiawei Liu, Jiaxia Yan, Linan Yue, Fangzhou Yao |
| 2025 | ICLR | I2VControl-Camera: Precise Video Camera Control with Adjustable Motion Strength. | Wanquan Feng, Jiawei Liu, Pengqi Tu, Tianhao Qi, Mingzhen Sun, Tianxiang Ma, Songtao Zhao, SiYu Zhou, Qian He |
| 2025 | IJCAI | Learnable Frequency Decomposition for Image Forgery Detection and Localization. | Dong Li, Jiaying Zhu, Yidi Liu, Xin Lu, Xueyang Fu, Jiawei Liu, Aiping Liu, Zheng-Jun Zha |
| 2025 | IJCNN | Personalized Federated Learning Based on Fine-grained Subgraphs. | Jiawei Liu |
| 2025 | IROS | Dual-Arm Teleoperated Robotic Microsurgery System with Live Volumetric OCT Image Feedback. | Jiawei Liu, Guangshen Ma, Genggeng Zhou, Haochi Pan, Colin Lam, Catherine Jin, Nita Valikodath, Mark Draelos |
| 2025 | IWQoS | Multi-Tenant Deployment with Anomaly Isolation in Public Clouds. | Baoqing Wang, Jiawei Liu, Gongming Zhao, Jing Wen, Hongli Xu, Pengbo Wang |
| 2025 | NAACL | Harnessing and Evaluating the Intrinsic Extrapolation Ability of Large Language Models for Vehicle Trajectory Prediction. | Jiawei Liu, Yanjiao Liu, Xun Gong, Tingting Wang, Hong Chen, Yunfeng Hu |
| 2025 | WACV | SMDAF: A Scalable Sidewalk Material Data Acquisition Framework with Bidirectional Cross-Modal Knowledge Distillation. | Jiawei Liu, Wayne Lam, Zhigang Zhu, Hao Tang |
| 2024 | ACL | \mathcal XFT: Unlocking the Power of Code Instruction Tuning by Simply Merging Upcycled Mixture-of-Experts. | Yifeng Ding, Jiawei Liu, Yuxiang Wei, Lingming Zhang |
| 2024 | ACL | From Model-centered to Human-Centered: Revision Distance as a Metric for Text Evaluation in LLMs-based Applications. | Yongqiang Ma, Lizhi Qing, Jiawei Liu, Yangyang Kang, Yue Zhang, Wei Lu, Xiaozhong Liu, Qikai Cheng |
| 2024 | COLING | Enhance Robustness of Language Models against Variation Attack through Graph Integration. | Zi Xiong, Lizhi Qing, Yangyang Kang, Jiawei Liu, Hongsong Li, Changlong Sun, Xiaozhong Liu, Wei Lu |
| 2024 | CVPR | Residual Denoising Diffusion Models. | Jiawei Liu, Qiang Wang, Huijie Fan, Yinong Wang, Yandong Tang, Liangqiong Qu |
| 2024 | CVPR | Self-Calibrating Vicinal Risk Minimisation for Model Calibration. | Jiawei Liu, Changkun Ye, Ruikai Cui, Nick Barnes |
| 2024 | CVPR | DEADiff: An Efficient Stylization Diffusion Model with Disentangled Representations. | Tianhao Qi, Shancheng Fang, Yanze Wu, Hongtao Xie, Jiawei Liu, Lang Chen, Qian He, Yongdong Zhang |
| 2024 | CVPR | View from Above: Orthogonal-View Aware Cross-View Localization. | Shan Wang, Chuong Nguyen, Jiawei Liu, Yanhao Zhang, Sundaram Muthu, Fahira Afzal Maken, Kaihao Zhang, Hongdong Li |
| 2024 | ECCV | Noise-Assisted Prompt Learning for Image Forgery Detection and Localization. | Dong Li, Jiaying Zhu, Xueyang Fu, Xun Guo, Yidi Liu, Gang Yang, Jiawei Liu, Zheng-Jun Zha |
| 2024 | ECCV | Visual Text Generation in the Wild. | Yuanzhi Zhu, Jiawei Liu, Feiyu Gao, Wenyu Liu, Xinggang Wang, Peng Wang, Fei Huang, Cong Yao, Zhibo Yang |
| 2024 | ICA3PP | Toward a QoS-Guaranteed Cloud Through Elastic Resource Scaling and Request Updating. | Bingchen Shen, Jiawei Liu, Gongming Zhao, Hongli Xu, Jianfeng Bao |
| 2024 | ICASSP | Fall Prediction by a Spatio-Temporal Multi-Channel Causal Model from Wearable Sensors Data. | Guorui Liao, Jiawei Liu, Yuxuan Liang, Shu Wang, Li Liu |
| 2024 | ICASSP | Predicting Fall Events by a Spatio-Temporal Topological Network with Multiple Wearable Sensors. | Xiaohu Li, Jiawei Liu, Guorui Liao, Mingrui Yin, Shu Wang, Guoxin Su, Jun Liao, Li Liu |
| 2024 | ICCAD | PolarGate: Breaking the Functionality Representation Bottleneck of And-Inverter Graph Neural Network. | Jiawei Liu, Jianwang Zhai, Mingyu Zhao, Zhe Lin, Bei Yu, Chuan Shi |
| 2024 | ICML | Magicoder: Empowering Code Generation with OSS-Instruct. | Yuxiang Wei, Zhe Wang, Jiawei Liu, Yifeng Ding, Lingming Zhang |
| 2024 | ICNP | HifiCNet: High-Fidelity Cloud Network Validation Platform at Scale by Hybrid Architecture. | Jiawei Liu, Gongming Zhao, Hongli Xu, Baoqing Wang, Peng Yang, Chun-Jen Chung, Min Chen, Xuwei Yang |
| 2024 | IJCAI | Natural Language-centered Inference Network for Multi-modal Fake News Detection. | Qiang Zhang, Jiawei Liu, Fanrui Zhang, Jingyi Xie, Zheng-Jun Zha |
| 2024 | ICPR | LF Tracy: A Unified Single-Pipeline Paradigm for Salient Object Detection in Light Field Cameras. | Fei Teng, Jiaming Zhang, Jiawei Liu, Kunyu Peng, Xina Cheng, Zhiyong Li, Kailun Yang |
| 2024 | IJCNN | Mitigating Spurious Correlations in Named Entity Recognition Models Through Counterfactual Data Augmentation. | Jiawei Liu, Min Huang, Qinghai Miao |
| 2024 | IROS | Tracking Tumors under Deformation from Partial Point Clouds using Occupancy Networks. | Pit Henrich, Jiawei Liu, Jiawei Ge, Samuel Schmidgall, Lauren M. Shepard, Ahmed Ezzat Ghazi, Franziska Mathis-Ullrich, Axel Krieger |
| 2024 | ICRA | Bevel-Tip Needle Deflection Modeling, Simulation, and Validation in Multi-Layer Tissues. | Yanzhou Wang, Lidia Al-Zogbi, Guanyun Liu, Jiawei Liu, Junichi Tokuda, Axel Krieger, Iulian Iordachita |
| 2024 | KSEM | Dynamic Reliability-Optimised and Energy-Efficient Scheduling Algorithms in Heterogeneous Multi-core Systems. | Jiawei Liu, Jing Wu, Yu Han, Wei Hu, Ping Zhang |
| 2024 | MICCAI | Mesh Registration via Geometric Feature Homogenization and Offset Cross-Attention: Application to 3D Photogrammetry. | Ines A. Cruz-Guerrero, Connor Elkhill, Jiawei Liu, Phuong D. Nguyen, Brooke French, Antonio R. Porras |
| 2024 | MMM | Cross-Modal Semantic Alignment Learning for Text-Based Person Search. | Wenjun Gan, Jiawei Liu, Yangchun Zhu, Yong Wu, Guozhi Zhao, Zheng-Jun Zha |
| 2024 | WWW | InArt: In-Network Aggregation with Route Selection for Accelerating Distributed Training. | Jiawei Liu, Yutong Zhai, Gongming Zhao, Hongli Xu, Jin Fang, Zhen Zeng, Ying Zhu |
| 2024 | WWW | ESCNet: Entity-enhanced and Stance Checking Network for Multi-modal Fact-Checking. | Fanrui Zhang, Jiawei Liu, Jingyi Xie, Qiang Zhang, Yongchao Xu, Zheng-Jun Zha |
| 2024 | WWW | Endowing Pre-trained Graph Models with Provable Fairness. | Zhongjian Zhang, Mengmei Zhang, Yue Yu, Cheng Yang, Jiawei Liu, Chuan Shi |
| 2023 | AAAI | A Speaker Turn-Aware Multi-Task Adversarial Network for Joint User Satisfaction Estimation and Sentiment Analysis. | Kaisong Song, Yangyang Kang, Jiawei Liu, Xurui Li, Changlong Sun, Xiaozhong Liu |
| 2023 | ASPLOS | NNSmith: Generating Diverse and Valid Test Cases for Deep Learning Compilers. | Jiawei Liu, Jinkun Lin, Fabian Ruffy, Cheng Tan, Jinyang Li, Aurojit Panda, Lingming Zhang |
| 2023 | CVPR | PD-Quant: Post-Training Quantization Based on Prediction Difference Metric. | Jiawei Liu, Lin Niu, Zhihang Yuan, Dawei Yang, Xinggang Wang, Wenyu Liu |
| 2023 | CVPR | Edge-aware Regional Message Passing Controller for Image Forgery Localization. | Dong Li, Jiaying Zhu, Menglu Wang, Jiawei Liu, Xueyang Fu, Zheng-Jun Zha |
| 2023 | ICASSP | WL-MSR: Watch and Listen for Multimodal Subtitle Recognition. | Jiawei Liu, Hao Wang, Weining Wang, Xingjian He, Jing Liu |
| 2023 | ICCV | P2C: Self-Supervised Point Cloud Completion from Single Partial Clouds. | Ruikai Cui, Shi Qiu, Saeed Anwar, Jiawei Liu, Chaoyue Xing, Jing Zhang, Nick Barnes |
| 2023 | ICCV | Model Calibration in Dense Classification with Adaptive Label Perturbation. | Jiawei Liu, Changkun Ye, Shan Wang, Ruikai Cui, Jing Zhang, Kaihao Zhang, Nick Barnes |
| 2023 | ICCV | Homography Guided Temporal Fusion for Road Line and Marking Segmentation. | Shan Wang, Chuong Nguyen, Jiawei Liu, Kaihao Zhang, Wenhan Luo, Yanhao Zhang, Sundaram Muthu, Fahira Afzal Maken, Hongdong Li |
| 2023 | ICCV | Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-trained Vision-Language Models. | Kecheng Zheng, Wei Wu, Ruili Feng, Kai Zhu, Jiawei Liu, Deli Zhao, Zheng-Jun Zha, Wei Chen, Yujun Shen |
| 2023 | ICPADS | A Reliability and Robustness-driven Approach for Optimizing VM Placement in Clouds. | Yuheng Zhu, Jiawei Liu, Gongming Zhao, Hongli Xu, Huaqing Tu |
| 2023 | IJCNN | Image Alone Are Not Enough: A General Semantic-Augmented Transformer-Based Framework for Image Captioning. | Jiawei Liu, Xin Lin, Liang He |
| 2023 | IJCNN | ED-T2V: An Efficient Training Framework for Diffusion-based Text-to-Video Generation. | Jiawei Liu, Weining Wang, Wei Liu, Qian He, Jing Liu |
| 2023 | IROS | Development and Evaluation of a Single-arm Robotic System for Autonomous Suturing. | Jiawei Liu, Michael Kam, Justin D. Opfermann, Zheyuan Zhang, Michael H. Hsieh, Jin U. Kang, Axel Krieger |
| 2023 | WSDM | Learning to Distill Graph Neural Networks. | Cheng Yang, Yuxin Guo, Yao Xu, Chuan Shi, Jiawei Liu, Chunchen Wang, Xin Li, Ning Guo, Hongzhi Yin |
| 2023 | SDM | Abnormal Event Detection via Hypergraph Contrastive Learning. | Bo Yan, Cheng Yang, Chuan Shi, Jiawei Liu, Xiaochen Wang |
| 2022 | AAAI | Modality-Adaptive Mixup and Invariant Decomposition for RGB-Infrared Person Re-identification. | Zhipeng Huang, Jiawei Liu, Liang Li, Kecheng Zheng, Zheng-Jun Zha |
| 2022 | AAAI | Debiased Batch Normalization via Gaussian Process for Generalizable Person Re-identification. | Jiawei Liu, Zhipeng Huang, Liang Li, Kecheng Zheng, Zheng-Jun Zha |
| 2022 | ACCV | DAC-GAN: Dual Auxiliary Consistency Generative Adversarial Network for Text-to-Image Generation. | Zhiwei Wang, Jing Yang, Jiajun Cui, Jiawei Liu, Jiahao Wang |
| 2022 | CCS | Order-Disorder: Imitation Adversarial Attacks for Black-box Neural Ranking Models. | Jiawei Liu, Yangyang Kang, Di Tang, Kaisong Song, Changlong Sun, Xiaofeng Wang, Wei Lu, Xiaozhong Liu |
| 2022 | CVPR | Temporal Complementarity-Guided Reinforcement Learning for Image-to-Video Person Re-Identification. | Wei Wu, Jiawei Liu, Kecheng Zheng, Qibin Sun, Zhengjun Zha |
| 2022 | DAC | Mixed-granularity parallel coarse-grained reconfigurable architecture. | Jinyi Deng, Linyun Zhang, Lei Wang, Jiawei Liu, Kexiang Deng, Shibin Tang, Jiangyuan Gu, Boxiao Han, Fei Xu, Leibo Liu, Shaojun Wei, Shouyi Yin |
| 2022 | GLOBECOM | Transceiver Co-design for Full-Duplex Integrated Sensing and Communications. | Jiawei Liu, Kumar Vijay Mishra, Mohammad Saquib |
| 2022 | GLOBECOM | Exact Throughput-Covertness Relation for Covert Communications. | Daizhong Yu, Lin Yang, Jiawei Liu, Guangrong Yue |
| 2022 | IJCNN | Hybrid Attention-based Transformer for Long-range Document Classification. | Ruyu Qin, Min Huang, Jiawei Liu, Qinghai Miao |
| 2022 | ICSE | TauLiM: Test Data Augmentation of LiDAR Point Cloud by Metamorphic Relation. | Ju Lin, Jiawei Liu, Qanjun Zhang, Xufan Zhang, Chunrong Fang |
| 2022 | ICSE | TauPad: Test Data Augmentation of Point Clouds by Adversarial Mutation. | Guandi Liu, Jiawei Liu, Quanjun Zhang, Chunrong Fang, Xufan Zhang |
| 2022 | ICSE | META: Multidimensional Evaluation of Testing Ability. | Tianqi Zhou, Jiawei Liu, Yifan Wang, Zhenyu Chen |
| 2022 | MICCAI | Learning with Context Encoding for Single-Stage Cranial Bone Labeling and Landmark Localization. | Jiawei Liu, Fuyong Xing, Abbas Shaikh, Marius George Linguraru, Antonio R. Porras |
| 2022 | QRS | MetaA: Multi-Dimensional Evaluation of Testing Ability via Adversarial Examples in Deep Learning. | Siqi Gu, Jiawei Liu, Zhanwei Hui, Wenhong Liu, Zhenyu Chen |
| 2022 | QRS | An Empirical Study towards Characterizing Neural Machine Translation Testing Methods. | Chenxi He, Wenhong Liu, Shuang Zhao, Jiawei Liu, Yang Yang |
| 2022 | QRS | Similarity Analysis in Data Element Matching based on Word2vec. | Wenhong Liu, Zhiyuan Peng, Shuang Zhao, Jiawei Liu |
| 2022 | QRS | Face Recognition Fairness Assessment based on Data Augmentation: An Empirical Study. | Fangyuan Tian, Wenhong Liu, Shuang Zhao, Jiawei Liu |
| 2022 | WACV | Modeling Aleatoric Uncertainty for Camouflaged Object Detection. | Jiawei Liu, Jing Zhang, Nick Barnes |
| 2021 | AAAI | Time to Transfer: Predicting and Evaluating Machine-Human Chatting Handoff. | Jiawei Liu, Zhe Gao, Yangyang Kang, Zhuoren Jiang, Guoxiu He, Changlong Sun, Xiaozhong Liu, Wei Lu |
| 2021 | CVPR | Spatial-Temporal Correlation and Topology Learning for Person Re-Identification in Videos. | Jiawei Liu, Zheng-Jun Zha, Wei Wu, Kecheng Zheng, Qibin Sun |
| 2021 | EMNLP | A Role-Selected Sharing Network for Joint Machine-Human Chatting Handoff and Service Satisfaction Analysis. | Jiawei Liu, Kaisong Song, Yangyang Kang, Guoxiu He, Zhuoren Jiang, Changlong Sun, Wei Lu, Xiaozhong Liu |
| 2021 | IJCNN | Learning structure-aware semantic segmentation with image-level supervision. | Jiawei Liu, Jing Zhang, Yicong Hong, Nick Barnes |
| 2021 | ISSTA | TauMed: test augmentation of deep learning in medical diagnosis. | Yunhan Hou, Jiawei Liu, Daiwei Wang, Jiawei He, Chunrong Fang, Zhenyu Chen |
| 2021 | ISSTA | Predoo: precision testing of deep learning operators. | Xufan Zhang, Ning Sun, Chunrong Fang, Jiawei Liu, Jia Liu, Dong Chai, Jiang Wang, Zhenyu Chen |
| 2021 | IWQoS | Towards Robust Multi-Tenant Clouds Through Multi-Constrained VM Placement. | Yutong Zhai, Gongming Zhao, Hongli Xu, Yangming Zhao, Jiawei Liu, Xingpeng Fan |
| 2021 | QRS | TauAud: Test Augmentation of Image Recognition in Autonomous Driving. | Songtao Zhang, Jiawei Liu, Bintong Xu, Guandi Liu |
| 2021 | WWW | Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework. | Cheng Yang, Jiawei Liu, Chuan Shi |
| 2020 | IJCAI | Multi-Scale Spatial-Temporal Integration Convolutional Tube for Human Action Recognition. | Haoze Wu, Jiawei Liu, Xierong Zhu, Meng Wang, Zheng-Jun Zha |
| 2020 | IJCAI | Co-Saliency Spatio-Temporal Interaction Network for Person Re-Identification in Videos. | Jiawei Liu, Zheng-Jun Zha, Xierong Zhu, Na Jiang |
| 2020 | IJCAI | Decorrelated Clustering with Data Selection Bias. | Xiao Wang, Shaohua Fan, Kun Kuang, Chuan Shi, Jiawei Liu, Bai Wang |
| 2020 | ISSTA | TauJud: test augmentation of machine learning in judicial documents. | Zichen Guo, Jiawei Liu, Tieke He, Zhuoyang Li, Peitian Zhangzhu |
| 2020 | SIGIR | Creating a Children-Friendly Reading Environment via Joint Learning of Content and Human Attention. | Guoxiu He, Yangyang Kang, Zhuoren Jiang, Jiawei Liu, Changlong Sun, Xiaozhong Liu, Wei Lu |
| 2019 | CVPR | Adaptive Transfer Network for Cross-Domain Person Re-Identification. | Jiawei Liu, Zheng-Jun Zha, Di Chen, Richang Hong, Meng Wang |
| 2019 | DEXA | Lopper: An Efficient Method for Online Log Pattern Mining Based on Hybrid Clustering Tree. | Jiawei Liu, Zhirong Hou, Ying Li |
| 2019 | IJCAI | Mutually Reinforced Spatio-Temporal Convolutional Tube for Human Action Recognition. | Haoze Wu, Jiawei Liu, Zheng-Jun Zha, Zhenzhong Chen, Xiaoyan Sun |
| 2019 | MMM | Adaptive Alignment Network for Person Re-identification. | Xierong Zhu, Jiawei Liu, Hongtao Xie, Zheng-Jun Zha |
| 2019 | QRS | Quality Measurement of Judgment Documents. | Jiawei Liu, Zhenzhen Wang, Ge Yan, Hao Lian |
| 2019 | WWW | A First Look at Deep Learning Apps on Smartphones. | Mengwei Xu, Jiawei Liu, Yuanqiang Liu, Felix Xiaozhu Lin, Yunxin Liu, Xuanzhe Liu |
| 2018 | ACL | Incorporating Latent Meanings of Morphological Compositions to Enhance Word Embeddings. | Yang Xu, Jiawei Liu, Wei Yang, Liusheng Huang |
| 2018 | ICPR | Weather Recognition Based on Edge Deterioration and Convolutional Neural Networks. | Yuzhou Shi, Yuanxiang Li, Jiawei Liu, Xingang Liu, Yi Lu Murphey |
| 2017 | ACSSC | Joint transmit-receive beamspace design for colocated MIMO radar in the presence of deliberate jammers. | Jiawei Liu, Mohammad Saquib |
| 2017 | VTC | Path Loss Measurement and Modeling for Low-Altitude UAV Access Channels. | Kun Wang, Ruonan Zhang, Liang Wu, Zhimeng Zhong, Lin He, Jiawei Liu, Xiaoyan Pang |
| 2017 | WCNC | Convolutional Modeling and Antenna De-Embedding for Wideband Spatial mmWave Channel Measurement. | Xiaofeng Lu, Ruonan Zhang, Yuliang Zhou, Jiawei Liu, Xin Jin, Qi Guo, Chang Cao |
| 2017 | SEKE | Morpheme-Enhanced Spectral Word Embedding. | Jiawei Liu |
| 2016 | NAACL | Improve Chinese Word Embeddings by Exploiting Internal Structure. | Jian Xu, Jiawei Liu, Liangang Zhang, Zhengyu Li, Huanhuan Chen |