| 2026 | ICPR | Skeleton-Snippet Contrastive Learning with Multiscale Feature Fusion for Action Localization. | Qiushuo Cheng, Jingjing Liu, Catherine Morgan, Alan L. Whone, Majid Mirmehdi |
| 2026 | ISCAS | A Passive Threshold-Voltage-Mismatch Cancellation Technique for Visual-Neuron-Inspired HDR CMOS Image Sensors. | Liang Shi, Yuchen Wang, Junhao He, Qinhan Xu, Jingjing Liu |
| 2026 | ISCAS | A 185 dB FoMS Direct-Integration Third-Order Passive Noise-Shaping SAR ADC for Biomedical Applications. | Kangkang Sun, Kailin Lin, Weijie Ge, Feng Yan, Bingjun Xiong, Jian Guan, Jingjing Liu |
| 2026 | ISCAS | An 8.91 nW, 1.74 ppm/°C Subthreshold CMOS-Only Voltage Reference for Temperature Sensors. | Bingjun Xiong, Feng Yan, Wejie Ge, Kangkang Sun, Zhipeng Li, Jian Guan, Jingjing Liu |
| 2026 | ISCAS | A Low-power High-impedance Instrumentation Amplifier with Capacitor-calibration for Bio-sensors. | Feng Yan, Bingjun Xiong, Weijie Ge, Kangkang Sun, Jingjing Liu |
| 2025 | CVPR | Universal Actions for Enhanced Embodied Foundation Models. | Jinliang Zheng, Jianxiong Li, Dongxiu Liu, Yinan Zheng, Zhihao Wang, Zhonghong Ou, Yu Liu, Jingjing Liu, Ya-Qin Zhang, Xianyuan Zhan |
| 2025 | EMNLP | RepoDebug: Repository-Level Multi-Task and Multi-Language Debugging Evaluation of Large Language Models. | Jingjing Liu, Zeming Liu, Zihao Cheng, Mengliang He, Xiaoming Shi, Yuhang Guo, Xiangrong Zhu, Yuanfang Guo, Yunhong Wang, Haifeng Wang |
| 2025 | ICLR | A Periodic Bayesian Flow for Material Generation. | Hanlin Wu, Yuxuan Song, Jingjing Gong, Ziyao Cao, Yawen Ouyang, Jianbing Zhang, Hao Zhou, Wei-Ying Ma, Jingjing Liu |
| 2025 | ICLR | Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior. | Tongda Xu, Xiyan Cai, Xinjie Zhang, Xingtong Ge, Dailan He, Ming Sun, Jingjing Liu, Ya-Qin Zhang, Jian Li, Yan Wang |
| 2025 | ICLR | Diffusion-Based Planning for Autonomous Driving with Flexible Guidance. | Yinan Zheng, Ruiming Liang, Kexin Zheng, Jinliang Zheng, Liyuan Mao, Jianxiong Li, Weihao Gu, Rui Ai, Shengbo Eben Li, Xianyuan Zhan, Jingjing Liu |
| 2025 | ICML | Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion. | Tianyuan Zou, Yang Liu, Peng Li, Yufei Xiong, Jianqing Zhang, Jingjing Liu, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang |
| 2025 | ICPADS | DBR_Lock: Dynamic Frequency-Aware Batching for Efficient Shared Lock Release in RDMA Systems. | Jingjing Liu, Hong Gao, Jinbao Wang, Lina Chen |
| 2025 | ICRA | Robo-MUTUAL: Robotic Multimodal Task Specification via Unimodal Learning. | Jianxiong Li, Zhihao Wang, Jinliang Zheng, Xiaoai Zhou, Guanming Wang, Guanglu Song, Yu Liu, Jingjing Liu, Ya-Qin Zhang, Junzhi Yu, Xianyuan Zhan |
| 2025 | ICRA | IROAM: Improving Roadside Monocular 3D Object Detection Learning from Autonomous Vehicle Data Domain. | Zhe Wang, Xiaoliang Huo, Siqi Fan, Jingjing Liu, Ya-Qin Zhang, Yan Wang |
| 2025 | ICRA | CoopDETR: A Unified Cooperative Perception Framework for 3D Detection via Object Query. | Zhe Wang, Shaocong Xu, Xucai Zhuang, Tongda Xu, Yan Wang, Jingjing Liu, Yilun Chen, Ya-Qin Zhang |
| 2024 | ACCV | RS-SAM: Integrating Multi-scale Information for Enhanced Remote Sensing Image Segmentation. | Enkai Zhang, Jingjing Liu, Anda Cao, Zhen Sun, Haofei Zhang, Huiqiong Wang, Li Sun, Mingli Song |
| 2024 | CVPR | Generative Multimodal Models are In-Context Learners. | Quan Sun, Yufeng Cui, Xiaosong Zhang, Fan Zhang, Qiying Yu, Yueze Wang, Yongming Rao, Jingjing Liu, Tiejun Huang, Xinlong Wang |
| 2024 | CVPR | CapsFusion: Rethinking Image-Text Data at Scale. | Qiying Yu, Quan Sun, Xiaosong Zhang, Yufeng Cui, Fan Zhang, Yue Cao, Xinlong Wang, Jingjing Liu |
| 2024 | EMNLP | FuseGen: PLM Fusion for Data-generation based Zero-shot Learning. | Tianyuan Zou, Yang Liu, Peng Li, Jianqing Zhang, Jingjing Liu, Ya-Qin Zhang |
| 2024 | ICASSP | Bandwidth-Efficient Inference for Nerual Image Compression. | Shanzhi Yin, Tongda Xu, Yongsheng Liang, Yuanyuan Wang, Yanghao Li, Yan Wang, Jingjing Liu |
| 2024 | ICASSP | CDCNet: A Fast and Lightweight Dehazing Network with Color Distortion Correction. | Yilian Zhong, Jiaming Liu, Xuan Huang, Jingjing Liu, Yibo Fan, Minfeng Wu |
| 2024 | ICLR | Unified Generative Modeling of 3D Molecules with Bayesian Flow Networks. | Yuxuan Song, Jingjing Gong, Hao Zhou, Mingyue Zheng, Jingjing Liu, Wei-Ying Ma |
| 2024 | ICLR | Emu: Generative Pretraining in Multimodality. | Quan Sun, Qiying Yu, Yufeng Cui, Fan Zhang, Xiaosong Zhang, Yueze Wang, Hongcheng Gao, Jingjing Liu, Tiejun Huang, Xinlong Wang |
| 2024 | ICLR | Idempotence and Perceptual Image Compression. | Tongda Xu, Ziran Zhu, Dailan He, Yanghao Li, Lina Guo, Yuanyuan Wang, Zhe Wang, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang |
| 2024 | ICLR | Multimodal Molecular Pretraining via Modality Blending. | Qiying Yu, Yudi Zhang, Yuyan Ni, Shikun Feng, Yanyan Lan, Hao Zhou, Jingjing Liu |
| 2024 | ICLR | Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model. | Yinan Zheng, Jianxiong Li, Dongjie Yu, Yujie Yang, Shengbo Eben Li, Xianyuan Zhan, Jingjing Liu |
| 2024 | ICML | DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning. | Jianxiong Li, Jinliang Zheng, Yinan Zheng, Liyuan Mao, Xiao Hu, Sijie Cheng, Haoyi Niu, Jihao Liu, Yu Liu, Jingjing Liu, Ya-Qin Zhang, Xianyuan Zhan |
| 2024 | ICONIP | Enhancing Prompt Tuning with Multitask Embedding Reparameterization. | Xiayang Shi, Yishuai Song, Jingjing Liu, Yinlin Li, Yanna Sun |
| 2024 | IJCNN | An Efficient Sparse Blocks Inference Method for Image Editing Based on Diffusion Models. | Zhuochao Yang, Jingjing Liu, Aiying Guo, Jianhua Zhang |
| 2024 | ISCAS | A Single-Stage Four-Phase Dual-Output Regulating Rectifier With Ultrafast Transient Response Using Double-Frequency Current-Wave Modulation. | Weiyan Li, Xianren Hao, Xiaguang Li, Yan Ma, Jingjing Liu, Huaxi Zhang, Xiaoyang Zeng, Zhiyuan Chen |
| 2024 | ICRA | EMIFF: Enhanced Multi-scale Image Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection. | Zhe Wang, Siqi Fan, Xiaoliang Huo, Tongda Xu, Yan Wang, Jingjing Liu, Yilun Chen, Ya-Qin Zhang |
| 2024 | ISCAS | A Constant-Quiescent-Current and Fast-Transient CL-LDO with 99.99% Efficiency Using Dynamic Embedded Slew-Rate Enhancement Circuit. | Yue Wang, Aiying Guo, Jianhua Zhang, Jingjing Liu |
| 2024 | ISCAS | A 1.02 ppm/°C Precision Bandgap Reference with High-order Curvature Compensation for Fluorescence Detection. | Bingjun Xiong, Feng Yan, Wenji Mo, Jian Guan, Yuxuan Huang, Jingjing Liu |
| 2024 | ISCAS | A 0.816nW 12.3pS Tunable Low-Gm Transconductor for Bio-electrical Signal Acquisition. | Feng Yan, Bingjun Xiong, Wenji Mo, Kangkang Sun, Jian Guan, Jingjing Liu |
| 2024 | VTC | CVTSA: Cooperative VNF and Time-Slot Scheduling Algorithm for NFV Orchestration. | Chenxi Liao, Jia Chen, Deyun Gao, Xu Huang, Jingjing Liu, Shang Liu, Dongsheng Qian |
| 2024 | VR | Automatic Indoor Lighting Generation Driven by Human Activity Learned from Virtual Experience. | Jingjing Liu, Jianwen Lou, Youyi Zheng, Kun Zhou |
| 2023 | CVPR | K-means Clustering Based Feature Consistency Alignment for Label-free Model Evaluation. | Shuyu Miao, Lin Zheng, Jingjing Liu, Hong Jin |
| 2023 | CVPR | Breaching FedMD: Image Recovery via Paired-Logits Inversion Attack. | Hideaki Takahashi, Jingjing Liu, Yang Liu |
| 2023 | ICLR | Mind the Gap: Offline Policy Optimization for Imperfect Rewards. | Jianxiong Li, Xiao Hu, Haoran Xu, Jingjing Liu, Xianyuan Zhan, Qing-Shan Jia, Ya-Qin Zhang |
| 2023 | ICLR | When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement Learning. | Jianxiong Li, Xianyuan Zhan, Haoran Xu, Xiangyu Zhu, Jingjing Liu, Ya-Qin Zhang |
| 2023 | ICLR | Multimodal Federated Learning via Contrastive Representation Ensemble. | Qiying Yu, Yang Liu, Yimu Wang, Ke Xu, Jingjing Liu |
| 2023 | ICML | Bit Allocation using Optimization. | Tongda Xu, Han Gao, Chenjian Gao, Yuanyuan Wang, Dailan He, Jinyong Pi, Jixiang Luo, Ziyu Zhu, Mao Ye, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang |
| 2023 | ICRA | ADAPT: Action-aware Driving Caption Transformer. | Bu Jin, Xinyu Liu, Yupeng Zheng, Pengfei Li, Hao Zhao, Tong Zhang, Yuhang Zheng, Guyue Zhou, Jingjing Liu |
| 2023 | IROS | Calibration-Free BEV Representation for Infrastructure Perception. | Siqi Fan, Zhe Wang, Xiaoliang Huo, Yan Wang, Jingjing Liu |
| 2023 | WACV | TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation. | Jinyu Yang, Jingjing Liu, Ning Xu, Junzhou Huang |
| 2022 | AAAI | Efficient Robust Training via Backward Smoothing. | Jinghui Chen, Yu Cheng, Zhe Gan, Quanquan Gu, Jingjing Liu |
| 2022 | AAAI | Playing Lottery Tickets with Vision and Language. | Zhe Gan, Yen-Chun Chen, Linjie Li, Tianlong Chen, Yu Cheng, Shuohang Wang, Jingjing Liu, Lijuan Wang, Zicheng Liu |
| 2022 | ECCV | Adversarial Contrastive Learning via Asymmetric InfoNCE. | Qiying Yu, Jieming Lou, Xianyuan Zhan, Qizhang Li, Wangmeng Zuo, Yang Liu, Jingjing Liu |
| 2022 | ISCAS | A Multiple Charge Extractions and Multiple Precharge Interface Circuit for Piezoelectric Energy Harvesting. | Yi Yang, Zhiyuan Chen, Jingjing Liu, Ziyu Guo, Junmin Jiang, Xiaoyang Zeng |
| 2022 | VTC | Peak Age of Information Optimization of Slotted Aloha. | Dewei Wu, Wen Zhan, Xinghua Sun, Bingpeng Zhou, Jingjing Liu |
| 2021 | AAAI | FILTER: An Enhanced Fusion Method for Cross-lingual Language Understanding. | Yuwei Fang, Shuohang Wang, Zhe Gan, Siqi Sun, Jingjing Liu |
| 2021 | ACL | EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets. | Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Zhangyang Wang, Jingjing Liu |
| 2021 | ACL | Cluster-Former: Clustering-based Sparse Transformer for Question Answering. | Shuohang Wang, Luowei Zhou, Zhe Gan, Yen-Chun Chen, Yuwei Fang, Siqi Sun, Yu Cheng, Jingjing Liu |
| 2021 | CVPR | Wasserstein Contrastive Representation Distillation. | Liqun Chen, Dong Wang, Zhe Gan, Jingjing Liu, Ricardo Henao, Lawrence Carin |
| 2021 | CVPR | Less Is More: ClipBERT for Video-and-Language Learning via Sparse Sampling. | Jie Lei, Linjie Li, Luowei Zhou, Zhe Gan, Tamara L. Berg, Mohit Bansal, Jingjing Liu |
| 2021 | CVPR | UC2: Universal Cross-Lingual Cross-Modal Vision-and-Language Pre-Training. | Mingyang Zhou, Luowei Zhou, Shuohang Wang, Yu Cheng, Linjie Li, Zhou Yu, Jingjing Liu |
| 2021 | ICCV | Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA Models. | Linjie Li, Jie Lei, Zhe Gan, Jingjing Liu |
| 2021 | ICLR | InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective. | Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu |
| 2021 | ICONIP | Disentangled Feature Network for Fine-Grained Recognition. | Shuyu Miao, Shuaicheng Li, Lin Zheng, Wei Yu, Jingjing Liu, Mingming Gong, Rui Feng |
| 2021 | NAACL | APo-VAE: Text Generation in Hyperbolic Space. | Shuyang Dai, Zhe Gan, Yu Cheng, Chenyang Tao, Lawrence Carin, Jingjing Liu |
| 2021 | NAACL | LightningDOT: Pre-training Visual-Semantic Embeddings for Real-Time Image-Text Retrieval. | Siqi Sun, Yen-Chun Chen, Linjie Li, Shuohang Wang, Yuwei Fang, Jingjing Liu |
| 2021 | WACV | Meta Module Network for Compositional Visual Reasoning. | Wenhu Chen, Zhe Gan, Linjie Li, Yu Cheng, William Yang Wang, Jingjing Liu |
| 2021 | VR | Work Surface Arrangement Optimization Driven by Human Activity. | Jingjing Liu, Wei Liang, Bing Ning, Ting Mao |
| 2020 | AAAI | What Makes A Good Story? Designing Composite Rewards for Visual Storytelling. | Junjie Hu, Yu Cheng, Zhe Gan, Jingjing Liu, Jianfeng Gao, Graham Neubig |
| 2020 | AAAI | Multi-Level Head-Wise Match and Aggregation in Transformer for Textual Sequence Matching. | Shuohang Wang, Yunshi Lan, Yi Tay, Jing Jiang, Jingjing Liu |
| 2020 | ACCV | Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation. | Shuyang Dai, Yu Cheng, Yizhe Zhang, Zhe Gan, Jingjing Liu, Lawrence Carin |
| 2020 | ACL | Distilling Knowledge Learned in BERT for Text Generation. | Yen-Chun Chen, Zhe Gan, Yu Cheng, Jingzhou Liu, Jingjing Liu |
| 2020 | ACL | Discourse-Aware Neural Extractive Text Summarization. | Jiacheng Xu, Zhe Gan, Yu Cheng, Jingjing Liu |
| 2020 | ACL | DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation. | Yizhe Zhang, Siqi Sun, Michel Galley, Yen-Chun Chen, Chris Brockett, Xiang Gao, Jianfeng Gao, Jingjing Liu, Bill Dolan |
| 2020 | CVPR | BachGAN: High-Resolution Image Synthesis From Salient Object Layout. | Yandong Li, Yu Cheng, Zhe Gan, Licheng Yu, Liqiang Wang, Jingjing Liu |
| 2020 | CVPR | Violin: A Large-Scale Dataset for Video-and-Language Inference. | Jingzhou Liu, Wenhu Chen, Yu Cheng, Zhe Gan, Licheng Yu, Yiming Yang, Jingjing Liu |
| 2020 | ECCV | Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models. | Jize Cao, Zhe Gan, Yu Cheng, Licheng Yu, Yen-Chun Chen, Jingjing Liu |
| 2020 | ECCV | UNITER: UNiversal Image-TExt Representation Learning. | Yen-Chun Chen, Linjie Li, Licheng Yu, Ahmed El Kholy, Faisal Ahmed, Zhe Gan, Yu Cheng, Jingjing Liu |
| 2020 | EMNLP | Contextual Text Style Transfer. | Yu Cheng, Zhe Gan, Yizhe Zhang, Oussama Elachqar, Dianqi Li, Jingjing Liu |
| 2020 | EMNLP | Multi-Fact Correction in Abstractive Text Summarization. | Yue Dong, Shuohang Wang, Zhe Gan, Yu Cheng, Jackie Chi Kit Cheung, Jingjing Liu |
| 2020 | EMNLP | Hierarchical Graph Network for Multi-hop Question Answering. | Yuwei Fang, Siqi Sun, Zhe Gan, Rohit Pillai, Shuohang Wang, Jingjing Liu |
| 2020 | EMNLP | HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training. | Linjie Li, Yen-Chun Chen, Yu Cheng, Zhe Gan, Licheng Yu, Jingjing Liu |
| 2020 | EMNLP | Contrastive Distillation on Intermediate Representations for Language Model Compression. | Siqi Sun, Zhe Gan, Yuwei Fang, Yu Cheng, Shuohang Wang, Jingjing Liu |
| 2020 | EMNLP | Cross-Thought for Sentence Encoder Pre-training. | Shuohang Wang, Yuwei Fang, Siqi Sun, Zhe Gan, Yu Cheng, Jingjing Liu, Jing Jiang |
| 2020 | FNC | Preliminary Study on Regional Technology Architecture and Planning of Ubiquitous Power Internet of Things Part Two Regional Planning and Explorations. | Changxin Zou, Zhenfeng Xiao, Haotian Liu, Kai Deng, Jingjing Liu, Lei Liu, Yang Chen, Jiawei Yang |
| 2020 | ICLR | FreeLB: Enhanced Adversarial Training for Natural Language Understanding. | Chen Zhu, Yu Cheng, Zhe Gan, Siqi Sun, Tom Goldstein, Jingjing Liu |
| 2020 | ICML | Graph Optimal Transport for Cross-Domain Alignment. | Liqun Chen, Zhe Gan, Yu Cheng, Linjie Li, Lawrence Carin, Jingjing Liu |
| 2020 | SMC | Free-Head Pose Estimation under Low-Resolution Scenarios. | Jingjing Liu, Zhiyong Wang, Haibo Qin, Kai Xu, Bin Ji, Honghai Liu |
| 2020 | SMC | An Auxiliary Screening System for Autism Spectrum Disorder Based on Emotion and Attention Analysis. | Kai Xu, Bin Ji, Zhiyong Wang, Jingjing Liu, Honghai Liu |
| 2019 | AAAI | Switch-Based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning. | Yuexin Wu, Xiujun Li, Jingjing Liu, Jianfeng Gao, Yiming Yang |
| 2019 | ACL | Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog. | Zhe Gan, Yu Cheng, Ahmed El Kholy, Linjie Li, Jingjing Liu, Jianfeng Gao |
| 2019 | CIKM | A Hybrid Retrieval-Generation Neural Conversation Model. | Liu Yang, Junjie Hu, Minghui Qiu, Chen Qu, Jianfeng Gao, W. Bruce Croft, Xiaodong Liu, Yelong Shen, Jingjing Liu |
| 2019 | CVPR | Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation. | Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi, Siddhartha S. Srinivasa |
| 2019 | CVPR | StoryGAN: A Sequential Conditional GAN for Story Visualization. | Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David E. Carlson, Jianfeng Gao |
| 2019 | EMNLP | Patient Knowledge Distillation for BERT Model Compression. | Siqi Sun, Yu Cheng, Zhe Gan, Jingjing Liu |
| 2019 | EMNLP | Adversarial Domain Adaptation for Machine Reading Comprehension. | Huazheng Wang, Zhe Gan, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Hongning Wang |
| 2019 | HCI | Research of Interaction Design Guided by Five Senses Theory. | Jingjing Liu, QiJun Duan |
| 2019 | ICCV | Relation-Aware Graph Attention Network for Visual Question Answering. | Linjie Li, Zhe Gan, Yu Cheng, Jingjing Liu |
| 2019 | ICNC | Bayesian Face Recognition Approach Based on Feature Fusion. | Jingjing Liu, Donghui He, Xiaoyang Zeng, Mingyu Wang, Xianchao Xiu, Wanquan Liu, Hui Chen, Yuyao Xiao |
| 2019 | IGARSS | Estimating the Carbon Content of Coastal Wetland Vegetation With Visible and Near-Infrared Reflectance Spectroscopy. | Hang Cheng, Jing Wang, Yingkun Du, Jingjing Liu |
| 2019 | NAACL | Unsupervised Deep Structured Semantic Models for Commonsense Reasoning. | Shuohang Wang, Sheng Zhang, Yelong Shen, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Jing Jiang |
| 2019 | NAACL | Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension. | Yichong Xu, Xiaodong Liu, Yelong Shen, Jingjing Liu, Jianfeng Gao |
| 2018 | ACL | Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning. | Baolin Peng, Xiujun Li, Jianfeng Gao, Jingjing Liu, Kam-Fai Wong |
| 2018 | CHIIR | Supporting Information Task Accomplishment: Helpful Systems and Their Features. | Jingjing Liu, Yuan Li |
| 2018 | CHIIR | Personalizing Information Retrieval Using Search Behaviors and Time Constraints. | Chang Liu, Jingjing Liu, Zengwang Yan |
| 2018 | CVPR | Language-Based Image Editing With Recurrent Attentive Models. | Jianbo Chen, Yelong Shen, Jianfeng Gao, Jingjing Liu, Xiaodong Liu |
| 2018 | EMNLP | Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy Learning. | Shang-Yu Su, Xiujun Li, Jianfeng Gao, Jingjing Liu, Yun-Nung Chen |
| 2018 | ICASSP | Adversarial Advantage Actor-Critic Model for Task-Completion Dialogue Policy Learning. | Baolin Peng, Xiujun Li, Jianfeng Gao, Jingjing Liu, Yun-Nung Chen, Kam-Fai Wong |
| 2018 | ICNC | A Novel Detection Approach for Moving Object with Dynamic Background. | Yuqiu Lu, Jingjing Liu, Shiwei Ma, Xianchao Xiu, Wanquan Liu |
| 2018 | ICNC | Foreground Extraction via the Tensor-Based RPCA with Non-Convex Fused Sparsity. | Yongsheng Wei, Yanyan Liu, Li Jia, Xianchao Xiu, Jingjing Liu |
| 2017 | ICICS | A Cross-Modal CCA-Based Astroturfing Detection Approach. | XiaoXuan Bai, Yingxiao Xiang, Wenjia Niu, Jiqiang Liu, Tong Chen, Jingjing Liu, Tong Wu |
| 2017 | ICICS | A Method to Effectively Detect Vulnerabilities on Path Planning of VIN. | Jingjing Liu, Wenjia Niu, Jiqiang Liu, Jia Zhao, Tong Chen, Yinqi Yang, Yingxiao Xiang, Lei Han |
| 2017 | ICONIP | Automatic Leaf Recognition Based on Deep Convolutional Networks. | Huisi Wu, Yongkui Xiang, Jingjing Liu, Zhenkun Wen |
| 2017 | KSEM | A Hidden Astroturfing Detection Approach Base on Emotion Analysis. | Tong Chen, Noora Hashim Alallaq, Wenjia Niu, Yingdi Wang, XiaoXuan Bai, Jingjing Liu, Yingxiao Xiang, Tong Wu, Jiqiang Liu |
| 2016 | BMVC | Multispectral Deep Neural Networks for Pedestrian Detection. | Jingjing Liu, Shaoting Zhang, Shu Wang, Dimitris N. Metaxas |
| 2016 | CHIIR | The Role of the Unconscious in Information Retrieval: What User Perception Tells Us. | Jingjing Liu, Kendra S. Albright, Hassan Zamir |
| 2016 | ICMLC | A novel approach for epileptic EEG signals classification based on biclustering technique. | Qin Lin, Cui-Hong Wu, Wen-Cheng Gu, Jingjing Liu, Yun Xue, Xi-Zhao Wang, Xiaohui Hu |
| 2016 | ICNC | Evaluation of K-SVD with different embedded sparse representation algorithms. | Jingjing Liu, Wanquan Liu, Qilin Li, Shiwei Ma, Guanghua Chen |
| 2016 | WACV | People detection in crowded scenes by context-driven label propagation. | Jingjing Liu, Quanfu Fan, Sharath Pankanti, Dimitris N. Metaxas |
| 2015 | CIS | Parallel Large Average Submatrices Biclustering Based on MapReduce. | Qin Lin, Yun Xue, Wensheng Chen, Shuqun Ye, Wanli Li, Jingjing Liu |
| 2015 | ICIS | Winner Takes All? The "Blockbuster Effect" in Crowdfunding Platforms. | Jingjing Liu, Lusi Yang, Zhiyi Wang, Jungpil Hahn |
| 2015 | WWW | Open Domain Question Answering via Semantic Enrichment. | Huan Sun, Hao Ma, Wen-tau Yih, Chen-Tse Tsai, Jingjing Liu, Ming-Wei Chang |
| 2014 | CIKM | Predicting Search Task Difficulty at Different Search Stages. | Chang Liu, Jingjing Liu, Nicholas J. Belkin |
| 2014 | CSCW | Enriching the distressing reality: social media use by chinese migrant workers. | Jingjing Liu, Alexander Boden, David W. Randall, Volker Wulf |
| 2014 | IWCMC | Reliable OFDM transmission parameter detection for a novel preamble design. | Jingjing Liu, Chao Zhang |
| 2014 | LREC | 3D Face Tracking and Multi-Scale, Spatio-temporal Analysis of Linguistically Significant Facial Expressions and Head Positions in ASL. | Bo Liu, Jingjing Liu, Xiang Yu, Dimitris N. Metaxas, Carol Neidle |
| 2013 | ASRU | Query understanding enhanced by hierarchical parsing structures. | Jingjing Liu, Panupong Pasupat, Yining Wang, Scott Cyphers, James R. Glass |
| 2013 | ICASSP | Asgard: A portable architecture for multilingual dialogue systems. | Jingjing Liu, Panupong Pasupat, Scott Cyphers, James R. Glass |
| 2013 | WCNC | Locally-optimized reweighted belief propagation for decoding finite-length LDPC codes. | Jingjing Liu, Rodrigo C. de Lamare, Henk Wymeersch |
| 2013 | WorldCIST | Task Topic Knowledge vs. Background Domain Knowledge: Impact of Two Types of Knowledge on User Search Performance. | Xiangmin Zhang, Jingjing Liu, Michael J. Cole |
| 2012 | ACSSC | Iterative detection and decoding for MIMO systems with knowledge-aided belief propagation algorithms. | Jingjing Liu, Peng Li, Rodrigo C. de Lamare |
| 2012 | CIKM | Exploring and predicting search task difficulty. | Jingjing Liu, Chang Liu, Michael J. Cole, Nicholas J. Belkin, Xiangmin Zhang |
| 2012 | ICASSP | Adaptive iterative decision multi-feedback detection for multi-user MIMO systems. | Peng Li, Jingjing Liu, Rodrigo C. de Lamare |
| 2012 | Interspeech | A Conversational Movie Search System Based on Conditional Random Fields. | Jingjing Liu, Scott Cyphers, Panupong Pasupat, Ian McGraw, James R. Glass |
| 2012 | Interspeech | Automating Crowd-supervised Learning for Spoken Language Systems. | Ian McGraw, Scott Cyphers, Panupong Pasupat, Jingjing Liu, James R. Glass |
| 2011 | ASRU | A dialogue system for accessing drug reviews. | Jingjing Liu, Stephanie Seneff |
| 2011 | ICASSP | Lexicon modeling for query understanding. | Jingjing Liu, Xiao Li, Alex Acero, Ye-Yi Wang |
| 2011 | MMM | Adaptive Model for Robust Pedestrian Counting. | Jingjing Liu, Jinqiao Wang, Hanqing Lu |
| 2011 | SIGIR | Search task difficulty: the expected vs. the reflected. | Jingjing Liu, Nicholas J. Belkin |
| 2010 | NAACL | Dialogue-Oriented Review Summary Generation for Spoken Dialogue Recommendation Systems. | Jingjing Liu, Stephanie Seneff, Victor Zue |
| 2010 | SIGIR | Personalizing information retrieval for multi-session tasks: the roles of task stage and task type. | Jingjing Liu, Nicholas J. Belkin |
| 2010 | SIGIR | Can search systems detect users' task difficulty?: some behavioral signals. | Jingjing Liu, Chang Liu, Jacek Gwizdka, Nicholas J. Belkin |
| 2010 | SIGdial | Utilizing Review Summarization in a Spoken Recommendation System. | Jingjing Liu, Stephanie Seneff, Victor Zue |
| 2009 | EICS | How usable are operational digital libraries: a usability evaluation of system interactions. | Xiangmin Zhang, Jingjing Liu, Yuelin Li, Ying Zhang |
| 2009 | EMNLP | Review Sentiment Scoring via a Parse-and-Paraphrase Paradigm. | Jingjing Liu, Stephanie Seneff |
| 2009 | ISNN | Classification of Hepatic Tissues from CT Images Based on Texture Features and Multiclass Support Vector Machines. | Luyao Wang, Zhi Zhang, Jingjing Liu, Bo Jiang, Xiyao Duan, Qingguo Xie, Daoyu Hu, Zhen Li |
| 2009 | SIGIR | Personalizing information retrieval using task features, topic knowledge, and task product. | Jingjing Liu |
| 2008 | ISCAS | An optically powered, free space optical communications receiver. | Jingjing Liu, Grahame E. Faulkner, Steve Collins, Dominic C. O'Brien, Steve J. Elston |
| 2007 | EMNLP | Low-Quality Product Review Detection in Opinion Summarization. | Jingjing Liu, Yunbo Cao, Chin-Yew Lin, Yalou Huang, Ming Zhou |
| 2007 | IGARSS | Field measurement of Gobi surface emissivity using CE312 and Infragold Board at Dunhuang calibration site of China. | Yong Zhang, Zhiguo Rong, Xiuqing Hu, Jingjing Liu, Lijun Zhang, Yuan Li, Xingying Zhang |
| 2007 | MMSP | Object-Sensitive Query Analysis for Video Search. | Jingjing Liu, Xian-Sheng Hua, Shipeng Li |
| 2006 | SIGIR | A comparative study of the effect of search feature design on user experience in digital libraries (DLs). | Yuelin Li, Xiangmin Zhang, Ying Zhang, Jingjing Liu |