| 2026 | AAAI | OmniSparse: Training-Aware Fine-Grained Sparse Attention for Long-Video MLLMs. | Feng Chen, Yefei He, Shaoxuan He, Yuanyu He, Jing Liu, Lequan Lin, Akide Liu, Zhaoyang Li, Jiyuan Zhang, Zhenbang Sun, Bohan Zhuang, Qi Wu |
| 2026 | AAAI | LatentLLM: Activation-Aware Transform to Multi-Head Latent Attention. | Toshiaki Koike-Akino, Xiangyu Chen, Jing Liu, Ye Wang, Pu Perry Wang, Matthew Brand |
| 2026 | AAAI | UrbanNav: Learning Language-Guided Embodied Urban Navigation from Web-Scale Human Trajectories. | Yanghong Mei, Yirong Yang, Longteng Guo, Qunbo Wang, Ming-Ming Yu, Xingjian He, Wenjun Wu, Jing Liu |
| 2026 | AAAI | Textual Self-Attention Network: Test-Time Preference Optimization Through Textual Gradient-Based Attention. | Shibing Mo, Haoyang Ruan, Kai Wu, Jing Liu |
| 2026 | AAAI | BEE-RAG: Balanced Entropy Engineering for Retrieval-Augmented Generation. | Yuhao Wang, Ruiyang Ren, Yucheng Wang, Jing Liu, Xin Zhao, Hua Wu, Haifeng Wang |
| 2026 | AAAI | SFGA: Similarity-Constrained Fusion Learning for Unsupervised Anomaly Detection in Multiplex Graphs. | Huiliang Zhai, Xiangyi Teng, Jing Liu |
| 2026 | AAAI | SimpleDiffusion: A Lightweight and Efficient Conditional Diffusion Model for Multi-Modal Salient Object Detection. | Shuo Zhang, Jiaming Huang, Wenbing Tang, Jing Liu, Li Han, Jiandun Li, Hongchun Yuan, Zizhu Fan |
| 2026 | AAAI | GeoX-Bench: Benchmarking Cross-View Geo-Localization and Pose Estimation Capabilities of Large Multimodal Models. | Yushuo Zheng, Jiangyong Ying, Huiyu Duan, Chunyi Li, Zicheng Zhang, Jing Liu, Xiaohong Liu, Guangtao Zhai |
| 2026 | ACL | SciVQR: A Multidisciplinary Multimodal Benchmark for Advanced Scientific Reasoning Evaluation. | Longteng Guo, Xuanxu Lin, Dongze Hao, Tongtian Yue, Pengkang Huo, Jiatong Ma, Yuchen Liu, Jing Liu |
| 2026 | ACL | Can MLLMs Reason Beyond Language? VisReason: A Comprehensive Benchmark for Vision-Centric Reasoning. | Longteng Guo, Yifan Wang, Pengkang Huo, Tailai Chen, Yuze Wu, Jing Liu, Xinxin Zhu |
| 2026 | ACL | M³-VQA: A Benchmark for Multimodal, Multi-Entity, Multi-Hop Visual Question Answering. | Jiatong Ma, Longteng Guo, Yuchen Liu, Zijia Zhao, Dongze Hao, Xuanxu Lin, Jing Liu |
| 2026 | ACL | PlanRAG-Audio: Planning and Retrieval Augmented Generation for Long-form Audio Understanding. | Masao Someki, Chien-Yu Huang, Siddhant Arora, Samuele Cornell, Markus Mller, Nathan Susanj, Rupak Vignesh Swaminathan, Grant P. Strimel, Jing Liu, Shinji Watanabe |
| 2026 | ACL | Reinforced Informativeness Optimization for Long-Form Retrieval-Augmented Generation. | Yuhao Wang, Ruiyang Ren, Yucheng Wang, Xin Zhao, Jing Liu, Hua Wu, Haifeng Wang |
| 2026 | ACNS | FlexProofs: A Vector Commitment with Flexible Linear Time for Computing All Proofs. | Jing Liu, Liang Feng Zhang |
| 2026 | COMPSAC | An Improved Entropy-Based Data Cleaning Approach to Handle Class Overlap on Aging-Related Bugs Prediction. | Ruilong Ding, Jing Liu, Bo Cui |
| 2026 | ISCAS | MeritFL: Self-Regulating Federated Learning via Merit-Gated Communication. | Zhengliang Guo, Kun Yang, Linxiao Gong, Yang Liu, Jing Liu, Liang Song |
| 2026 | ISCAS | Multi-stage Superpixel-guided Mamba-based Network for Change Detection. | Jing Liu, Haoyu Yang, Xin Lin, Yuting Su, Peiguang Jing |
| 2026 | MMM | AIT3D-DSR: An Adjustable Integration Targeted 3D Adversarial Attack Based on Differentiable Structured Rendering. | Yunong Guo, Jing Liu |
| 2026 | MMM | RIDA: Detection of Adversarial Examples Through Image Adaptive Local Reconstruction. | Xiaoyu Wang, Jing Liu |
| 2026 | NSDI | HCDN: Coordinated Stream Scheduling for Cost-Effective Live Video Delivery. | Liying Wang, Jing Liu, Yuhan Zhou, Chengke Wang, Mingming Lu, Qingyue Li, Song Geng, Linsen Wang, Kaida Hu, Haoyuan Huang, Shimao Tian, Ri Lu, Mingfei Hao, Chenren Xu, Shu Shi |
| 2025 | AAAI | FedCross: Intertemporal Federated Learning Under Evolutionary Games. | Jianfeng Lu, Ying Zhang, Riheng Jia, Shuqin Cao, Jing Liu, Hao Fu |
| 2025 | AAAI | DiMSOD: A Diffusion-Based Framework for Multi-Modal Salient Object Detection. | Shuo Zhang, Jiaming Huang, Wenbing Tang, Yan Wu, Terrence Hu, Xiaogang Xu, Jing Liu |
| 2025 | AAAI | TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning. | Gangqiang Hu, Jianfeng Lu, Jianmin Han, Shuqin Cao, Jing Liu, Hao Fu |
| 2025 | AAAI | AutoSGNN: Automatic Propagation Mechanism Discovery for Spectral Graph Neural Networks. | Shibing Mo, Kai Wu, Qixuan Gao, Xiangyi Teng, Jing Liu |
| 2025 | AAAI | Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage. | Md. Rafi Ur Rashid, Jing Liu, Toshiaki Koike-Akino, Ye Wang, Shagufta Mehnaz |
| 2025 | AAAI | Numerical Pruning for Efficient Autoregressive Models. | Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Jing Liu, Ruiyi Zhang, Ryan A. Rossi, Hao Tan, Tong Yu, Xiang Chen, Yufan Zhou, Tong Sun, Pu Zhao, Yanzhi Wang, Jiuxiang Gu |
| 2025 | AAAI | M2OST: Many-to-one Regression for Predicting Spatial Transcriptomics from Digital Pathology Images. | Hongyi Wang, Xiuju Du, Jing Liu, Shuyi Ouyang, Yen-Wei Chen, Lanfen Lin |
| 2025 | AAAI | Graph Contrastive Learning with Joint Spectral Augmentation of Attribute and Topology. | Liang Yang, Zhenna Li, Jiaming Zhuo, Jing Liu, Ziyi Ma, Chuan Wang, Zhen Wang, Xiaochun Cao |
| 2025 | AAAI | Channel Merging: Preserving Specialization for Merged Experts. | Mingyang Zhang, Jing Liu, Ganggui Ding, Linlin Ou, Xinyi Yu, Bohan Zhuang |
| 2025 | ACL | An Empirical Study of LLM-as-a-Judge for LLM Evaluation: Fine-tuned Judge Model is not a General Substitute for GPT-4. | Hui Huang, Xingyuan Bu, Hongli Zhou, Yingqi Qu, Jing Liu, Muyun Yang, Bing Xu, Tiejun Zhao |
| 2025 | AsiaCCS | On the Account Security Risks Posed by Password Strength Meters. | Ming Xu, Weili Han, Jitao Yu, Jing Liu, Xinyi Zhang, Yun Lin, Jin Song Dong |
| 2025 | CEC | Meta-MOGA: Meta-learning Multi-Objective Genetic Algorithm. | Tianyu Li, Kai Wu, Xiaobin Li, Xiangyi Teng, Jing Liu |
| 2025 | CEC | Community-Aware Role-Based Graph Embedding. | He Yu, Jing Liu |
| 2025 | CogSci | Benchmarking LLMs for Mimicking Child-Caregiver Language in Interaction. | Jing Liu, Abdellah Fourtassi |
| 2025 | COLING | Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation. | Ruiyang Ren, Yuhao Wang, Yingqi Qu, Wayne Xin Zhao, Jing Liu, Hua Wu, Ji-Rong Wen, Haifeng Wang |
| 2025 | COLING | RoleBreak: Character Hallucination as a Jailbreak Attack in Role-Playing Systems. | Yihong Tang, Bo Wang, Xu Wang, Dongming Zhao, Jing Liu, Ruifang He, Yuexian Hou |
| 2025 | COLING | ECC: Synergizing Emotion, Cause and Commonsense for Empathetic Dialogue Generation. | Xu Wang, Bo Wang, Yihong Tang, Dongming Zhao, Jing Liu, Ruifang He, Yuexian Hou |
| 2025 | COMPSAC | CFS-BAS-BP: Traffic Accident Risk Factor Recognition Model based on Combinatorial Feature Selection and Bionic Neural Network. | Yuying Li, Yishan Li, Yan Wang, Jing Liu, Zhuopeng Wang |
| 2025 | COMPSAC | GRCEM: Generating Optimal Software Rejuvenation Strategies for Cloud-Edge Collaborative Systems Based on MADRL. | Xueyong Tan, Jing Liu |
| 2025 | CVPR | QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge. | Xuan Shen, Weize Ma, Jing Liu, Changdi Yang, Rui Ding, Quanyi Wang, Henghui Ding, Wei Niu, Yanzhi Wang, Pu Zhao, Jun Lin, Jiuxiang Gu |
| 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 | COAP: Memory-Efficient Training with Correlation-Aware Gradient Projection. | Jinqi Xiao, Shen Sang, Tiancheng Zhi, Jing Liu, Qing Yan, Linjie Luo, Bo Yuan |
| 2025 | CVPR | ID-Patch: Robust ID Association for Group Photo Personalization. | Yimeng Zhang, Tiancheng Zhi, Jing Liu, Shen Sang, Liming Jiang, Qing Yan, Sijia Liu, Linjie Luo |
| 2025 | CVPR | Efficient Motion-Aware Video MLLM. | Zijia Zhao, Yuqi Huo, Tongtian Yue, Longteng Guo, Haoyu Lu, Bingning Wang, Weipeng Chen, Jing Liu |
| 2025 | EMNLP | VRoPE: Rotary Position Embedding for Video Large Language Models. | Zikang Liu, Longteng Guo, Yepeng Tang, Tongtian Yue, Junxian Cai, Kai Ma, Qingbin Liu, Xi Chen, Jing Liu |
| 2025 | EMNLP | ViPE: Visual Perception in Parameter Space for Efficient Video-Language Understanding. | Shichen Lu, Tongtian Yue, Longteng Guo, Handong Li, Xingjian He, Si Liu, Jing Liu |
| 2025 | EuroSys | Revealing the Unstable Foundations of eBPF-Based Kernel Extensions. | Shawn Wanxiang Zhong, Jing Liu, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau |
| 2025 | FAST | Fast, Transparent Filesystem Microkernel Recovery with Ananke. | Jing Liu, Yifan Dai, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau |
| 2025 | GLOBECOM | MF-AttnBiLSTM: Traffic Flow Prediction via Hybrid Signal Decomposition and Dual-Stream Temporal Attention Learning. | Luyao Niu, Zepu Wang, Jing Liu, Azzedine Boukerche, Peng Sun |
| 2025 | ICA3PP | DAGLoc: End-to-End Troubleshooting Approach for Big Data Scheduling System. | Xueyong Tan, Shipeng Zhang, Jing Liu |
| 2025 | ICANN | Enhancing Graph Neural Networks with Mixup-Based Knowledge Distillation. | Tianai Yue, Jing Liu |
| 2025 | ICASSP | CPT-Boosted Wav2vec2.0: Towards Noise Robust Speech Recognition for Classroom Environments. | Ahmed Adel Attia, Dorottya Demszky, Tollop gnrm, Jing Liu, Carol Y. Espy-Wilson |
| 2025 | ICASSP | DiGradPatch: Black-Box Patch Attacks via Diffusion-Based Double Gradient and Sensitive Distribution Guidance. | Yang Wu, Jing Liu |
| 2025 | ICASSP | GoLoColor: Towards Global-Local Semantic Aware Image Colorization. | Tianai Yue, Xiangcheng Du, Jing Liu, Zhongli Fang |
| 2025 | ICASSP | Multi-modal Salient Object Detection via a Unified Diffusion Model. | Shuo Zhang, Jiaming Huang, Wenbing Tang, Lili Tian, Yuang Wei, Jing Liu |
| 2025 | ICASSP | Seg-diffusion: Text-to-Image Diffusion Model for Open-Vocabulary Semantic Segmentation. | Shuo Zhang, Jiaming Huang, Yan Wu, Tao Hu, Wenbing Tang, Jing Liu |
| 2025 | ICCV | MotionCtrl: A Real-Time Controllable Vision-Language-Motion Model. | Bin Cao, Sipeng Zheng, Ye Wang, Lujie Xia, Qianshan Wei, Qin Jin, Jing Liu, Zongqing Lu |
| 2025 | ICCV | ZipVL: Accelerating Vision-Language Models Through Dynamic Token Sparsity. | Yefei He, Feng Chen, Jing Liu, Wenqi Shao, Hong Zhou, Kaipeng Zhang, Bohan Zhuang |
| 2025 | ICCV | Breaking the Encoder Barrier for Seamless Video-Language Understanding. | Handong Li, Yiyuan Zhang, Longteng Guo, Xiangyu Yue, Jing Liu |
| 2025 | ICCV | Learning Beyond Still Frames: Scaling Vision-Language Models with Video. | Yiyuan Zhang, Handong Jing, Jing Liu, Xiangyu Yue |
| 2025 | ICCV | Scaling Omni-Modal Pretraining with Multimodal Context: Advancing Universal Representation Learning Across Modalities. | Yiyuan Zhang, Handong Li, Jing Liu, Xiangyu Yue |
| 2025 | ICCV | COSMO: Combination of Selective Memorization for Low-Cost Vision-and-Language Navigation. | Siqi Zhang, Yanyuan Qiao, Qunbo Wang, Zike Yan, Qi Wu, Zhihua Wei, Jing Liu |
| 2025 | ICCV | VQualA 2025 Challenge on Visual Quality Comparison for Large Multimodal Models: Methods and Results. | Hanwei Zhu, Haoning Wu, Zicheng Zhang, Lingyu Zhu, Yixuan Li, Peilin Chen, Shiqi Wang, Chris Wei Zhou, Linhan Cao, Wei Sun, Xiangyang Zhu, Weixia Zhang, Yucheng Zhu, Jing Liu, Dandan Zhu, Guangtao Zhai, Xiongkuo Min, Zhichao Zhang, Xinyue Li, Shubo Xu, Anh Dao, Yifan Li, Hongyuan Yu, Jiaojiao Yi, Yiding Tian, Yupeng Wu, Feiran Sun, Lijuan Liao, Song Jiang |
| 2025 | ICECCS | MixRecLGB: Language-Enhanced Mixed Attention for Temporal Context Modeling in Time Series Forecasting. | Yuxin Mei, Luxi Zhang, Li Han, Jing Liu |
| 2025 | ICIP | Parameterized Human Model Reconstruction Method Based on Online Evolutive Learning. | Jiaxuan Liu, Fengtin Qin, Jingyi Wu, Ruiyang Jing, Jing Liu, Liang Song |
| 2025 | ICLR | Gap Preserving Distillation by Building Bidirectional Mappings with A Dynamic Teacher. | Yong Guo, Shulian Zhang, Haolin Pan, Jing Liu, Yulun Zhang, Jian Chen |
| 2025 | ICLR | Context-aware Dynamic Pruning for Speech Foundation Models. | Masao Someki, Yifan Peng, Siddhant Arora, Markus Mller, Athanasios Mouchtaris, Grant P. Strimel, Jing Liu, Shinji Watanabe |
| 2025 | ICLR | Diffusion Feedback Helps CLIP See Better. | Wenxuan Wang, Quan Sun, Fan Zhang, Yepeng Tang, Jing Liu, Xinlong Wang |
| 2025 | ICLR | Ada-K Routing: Boosting the Efficiency of MoE-based LLMs. | Tongtian Yue, Longteng Guo, Jie Cheng, Xuange Gao, Hua Huang, Jing Liu |
| 2025 | ICLR | Needle In A Video Haystack: A Scalable Synthetic Evaluator for Video MLLMs. | Zijia Zhao, Haoyu Lu, Yuqi Huo, Yifan Du, Tongtian Yue, Longteng Guo, Bingning Wang, Weipeng Chen, Jing Liu |
| 2025 | ICML | HarmoniCa: Harmonizing Training and Inference for Better Feature Caching in Diffusion Transformer Acceleration. | Yushi Huang, Zining Wang, Ruihao Gong, Jing Liu, Xinjie Zhang, Jinyang Guo, Xianglong Liu, Jun Zhang |
| 2025 | ICML | Few-Shot Learner Generalizes Across AI-Generated Image Detection. | Shiyu Wu, Jing Liu, Jing Li, Yequan Wang |
| 2025 | ICONIP | CLIP-Guided Adversarial Example Detection via Latent Mutual Information. | Jun Ma, PengJu Wang, Jing Liu |
| 2025 | IJCAI | Exploring the Frontiers of Animation Video Generation in the Sora Era: Method, Dataset and Benchmark. | Yudong Jiang, Baohan Xu, Siqian Yang, Mingyu Ying, Jing Liu, Chao Xu, Siqi Wang, Yidi Wu, Bingwen Zhu, Yue Zhang, Jinlong Hou, Huyang Sun |
| 2025 | IJCNN | DLST: A Novel Framework for Market Risk Stress Testing via EXformer. | Fusheng Chen, Jing Liu, Zhongming Han, Li Han |
| 2025 | IJCNN | A Novel Continuous Peephole LSTM with Neural Controlled Differential Equations for Timely Financial Risk Prediction. | Xu Han, Yuxin Mei, Jing Liu, Zhongming Han, Li Han |
| 2025 | IJCNN | RecLGB: Enhancing LightGBM using Recursive VAE with Mixed Attention for Time-Series Forecasting. | Yuxin Mei, Xu Han, Zhongming Han, Li Han, Jing Liu |
| 2025 | IJCNN | ETELTLf: A Recursive Embedding Approach for LTLf Satisfiability Checking in CPSs. | Luxi Zhang, Yuxin Mei, Xu Han, Jing Liu |
| 2025 | Interspeech | From Weak Labels to Strong Results: Utilizing 5, 000 Hours of Noisy Classroom Transcripts with Minimal Accurate Data. | Ahmed Adel Attia, Dorottya Demszky, Jing Liu, Carol Y. Espy-Wilson |
| 2025 | Interspeech | Context-Driven Dynamic Pruning for Large Speech Foundation Models. | Masao Someki, Shikhar Bharadwaj, Atharva Anand Joshi, Chyi-Jiunn Lin, Jinchuan Tian, Jee-weon Jung, Markus Mller, Nathan Susanj, Jing Liu, Shinji Watanabe |
| 2025 | Interspeech | FT-Boosted SV: Towards Noise Robust Speaker Verification for English Speaking Classroom Environments. | Saba Tabatabaee, Jing Liu, Carol Y. Espy-Wilson |
| 2025 | IROS | An Easy Method for Extrinsic Calibration of Camera and Time-of-Flight Sensor. | Tianyou Zhang, Jing Liu, Dragos Axinte, Xin Dong |
| 2025 | ICRA | Rapid Autonomous Exploration of Large-Scale Environments for Ground Robots Based on Region Partitioning. | Zhi Wen, Xiaotao Liu, Gaojie Lu, Jing Liu |
| 2025 | ICRA | MiniVLN: Efficient Vision-and-Language Navigation by Progressive Knowledge Distillation. | Junyou Zhu, Yanyuan Qiao, Siqi Zhang, Xingjian He, Qi Wu, Jing Liu |
| 2025 | MMM | SMG-Diff: Adversarial Attack Method Based on Semantic Mask-Guided Diffusion. | Yongliang Zhang, Jing Liu |
| 2025 | NeSy | Neurosymbolic Tag-Based Annotation for Interpretable Avatar Creation. | Minghao Liu, Zeyu Cheng, Shen Sang, Jing Liu, James Davis |
| 2025 | NPC | RSCAC-NET: A Remote Sensing Image Change Description Network Based on Change-Aware and Multi-stage Global Fusion. | Hongyi Dong, Xiuzhen He, Yan Wang, Jing Liu, Feilong Bao, Bing Jia |
| 2025 | VTC | Optimal Distance-Constrained Path Planning for Sparse Radio Map Recovery. | Feng Qiu, Kangjun Liu, Longkun Zou, Jing Liu, Ke Chen |
| 2025 | SMC | Formal Modeling and Quantitative Evaluation for Online Monitoring Systems in Nuclear Facilities. | Letian Fang, Wenbing Tang, Xin Wang, Jing Liu, Shengyuan Wang |
| 2025 | SMC | A Personalized Lane-Change Safety Verification Framework Based on Driving Style and Formal Modeling. | Xin Wang, Letian Fang, Jing Liu, Rongbin Hou |
| 2025 | WWW | Self-Calibrated Listwise Reranking with Large Language Models. | Ruiyang Ren, Yuhao Wang, Kun Zhou, Wayne Xin Zhao, Wenjie Wang, Jing Liu, Ji-Rong Wen, Tat-Seng Chua |
| 2025 | WWW | TSGGuide: Recommendation Guide for Multivariate Time Series Generation. | Beining Zhang, Kai Wu, Xiaoyu Zhang, Handing Wang, Jing Liu, Bei Wang, Kai Wang |
| 2025 | SIGIR | Unveiling Knowledge Utilization Mechanisms in LLM-based Retrieval-Augmented Generation. | Yuhao Wang, Ruiyang Ren, Yucheng Wang, Wayne Xin Zhao, Jing Liu, Hua Wu, Haifeng Wang |
| 2025 | SIGIR | Balancing Precision and Generalization: Dynamic Instruction Generation for Model Adaptive Zero-Shot Reasoning in LLMs. | Ruihan Zhu, Bo Wang, Dongming Zhao, Jing Liu, Ruifang He, Yuexian Hou |
| 2025 | WACV | GroundingMate: Aiding Object Grounding for Goal-Oriented Vision-and-Language Navigation. | Qianyi Liu, Siqi Zhang, Yanyuan Qiao, Junyou Zhu, Xiang Li, Longteng Guo, Qunbo Wang, Xingjian He, Qi Wu, Jing Liu |
| 2025 | WACV | SplatFace: Gaussian Splat Face Reconstruction Leveraging an Optimizable Surface. | Jiahao Luo, Jing Liu, James Davis |
| 2025 | TrustCom | APT-GCM: Advanced Persistent Threats Detection via Graph Contrastive Masked Representation Learning. | Mengkun Zhao, Jing Liu, Wenqiang Hao, Xiaobing Pei |
| 2025 | SEKE | Stochastic Zlus: Stochastic Hybrid Modeling and Verification for Nuclear I&C System. | Jiang Xiong, Jing Liu, Mingxing Liu |
| 2025 | VCIP | M | Yang Liu, Boan Chen, Xiaoguang Zhu, Jing Liu, Peng Sun, Wei Zhou |
| 2025 | SiggraphA | AniME: Adaptive Multi-Agent Planning for Long Animation Generation. | Lisai Zhang, Baohan Xu, Siqian Yang, Mingyu Yin, Jing Liu, Chao Xu, Siqi Wang, Yidi Wu, Yuxin Hong, Zihao Zhang, Yanzhang Liang, Yudong Jiang |
| 2025 | SOSP | Aeolia: A Fast and Secure Userspace Interrupt-Based Storage Stack. | Chuandong Li, Ran Yi, Zonghao Zhang, Jing Liu, Changwoo Min, Jie Zhang, Yingwei Luo, Xiaolin Wang, Zhenlin Wang, Diyu Zhou |
| 2024 | AAAI | Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-Time Dynamics. | Lanlan Chen, Kai Wu, Jian Lou, Jing Liu |
| 2024 | AAAI | Graph Disentangled Contrastive Learning with Personalized Transfer for Cross-Domain Recommendation. | Jing Liu, Lele Sun, Weizhi Nie, Peiguang Jing, Yuting Su |
| 2024 | AAAI | Temporal Adaptive RGBT Tracking with Modality Prompt. | Hongyu Wang, Xiaotao Liu, Yifan Li, Meng Sun, Dian Yuan, Jing Liu |
| 2024 | ACCV | OneDiff: A Generalist Model for Image Difference Captioning. | Erdong Hu, Longteng Guo, Tongtian Yue, Zijia Zhao, Shuning Xue, Jing Liu |
| 2024 | ACL | Soft Knowledge Prompt: Help External Knowledge Become a Better Teacher to Instruct LLM in Knowledge-based VQA. | Qunbo Wang, Ruyi Ji, Tianhao Peng, Wenjun Wu, Zechao Li, Jing Liu |
| 2024 | ACL | Beyond Literal Descriptions: Understanding and Locating Open-World Objects Aligned with Human Intentions. | Wenxuan Wang, Yisi Zhang, Xingjian He, Yichen Yan, Zijia Zhao, Xinlong Wang, Jing Liu |
| 2024 | AIES | Kid-Whisper: Towards Bridging the Performance Gap in Automatic Speech Recognition for Children VS. Adults. | Ahmed Adel Attia, Jing Liu, Wei Ai, Dorottya Demszky, Carol Y. Espy-Wilson |
| 2024 | BMVC | SuperLoRA: Parameter-Efficient Unified Adaptation of Large Foundation Models. | Xiangyu Chen, Jing Liu, Ye Wang, Pu Perry Wang, Matthew Brand, Guanghui Wang, Toshiaki Koike-Akino |
| 2024 | CCS | Analyzing Inference Privacy Risks Through Gradients In Machine Learning. | Zhuohang Li, Andrew Lowy, Jing Liu, Toshiaki Koike-Akino, Kieran Parsons, Bradley A. Malin, Ye Wang |
| 2024 | CEC | Large-Scale Project Portfolio Selection and Scheduling Problem: A Comparison of Exact Solvers and Metaheuristics. | Jing Liu, Saber M. Elsayed, Daryl Essam, Ruhul A. Sarker, Ivan L. Garanovich, Terence Weir |
| 2024 | COLING | ConEC: Earnings Call Dataset with Real-world Contexts for Benchmarking Contextual Speech Recognition. | Ruizhe Huang, Mahsa Yarmohammadi, Jan Trmal, Jing Liu, Desh Raj, Leibny Paola Garca, Alexei V. Ivanov, Patrick Ehlen, Mingzhi Yu, Dan Povey, Sanjeev Khudanpur |
| 2024 | COMPSAC | FOQL: Software Aging Determination and Rejuvenation Strategy Generation for Docker. | Yiming Liu, Zhuanzhuan Liu, Xueyong Tan, Jing Liu |
| 2024 | COMPSAC | Determine When and How to Perform Edge Rejuvenation Effectively for Cloud-Edge Collaborative System. | Zhuanzhuan Liu, Yiming Liu, Xueyong Tan, Jing Liu |
| 2024 | CSCWD | ASL: Adversarial Attack by Stacking Layer-wise Relevance Propagation. | Pengju Wang, Jing Liu |
| 2024 | CVPR | SuperLoRA: Parameter-Efficient Unified Adaptation for Large Vision Models. | Xiangyu Chen, Jing Liu, Ye Wang, Pu Perry Wang, Matthew Brand, Guanghui Wang, Toshiaki Koike-Akino |
| 2024 | CVPR | Efficient Stitchable Task Adaptation. | Haoyu He, Zizheng Pan, Jing Liu, Jianfei Cai, Bohan Zhuang |
| 2024 | CVPR | TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models. | Yushi Huang, Ruihao Gong, Jing Liu, Tianlong Chen, Xianglong Liu |
| 2024 | CVPR | Unveiling Parts Beyond Objects: Towards Finer-Granularity Referring Expression Segmentation. | Wenxuan Wang, Tongtian Yue, Yisi Zhang, Longteng Guo, Xingjian He, Xinlong Wang, Jing Liu |
| 2024 | CVPR | Open-Vocabulary Video Anomaly Detection. | Peng Wu, Xuerong Zhou, Guansong Pang, Yujia Sun, Jing Liu, Peng Wang, Yanning Zhang |
| 2024 | CVPR | Text Prompt with Normality Guidance for Weakly Supervised Video Anomaly Detection. | Zhiwei Yang, Jing Liu, Peng Wu |
| 2024 | CVPR | SC- Tune: Unleashing Self-Consistent Referential Comprehension in Large Vision Language Models. | Tongtian Yue, Jie Cheng, Longteng Guo, Xingyuan Dai, Zijia Zhao, Xingjian He, Gang Xiong, Yisheng Lv, Jing Liu |
| 2024 | DASFAA | Beyond Users: Denoising Behavior-based Contrastive Learning for Disentangled Cross-Domain Recommendation. | Lele Sun, Jing Liu, Shenyuan Zhang, Weizhi Nie, Anan Liu, Yuting Su |
| 2024 | ECCV | LSVOS Challenge Report: Large-Scale Complex and Long Video Object Segmentation. | Henghui Ding, Lingyi Hong, Chang Liu, Ning Xu, Linjie Yang, Yuchen Fan, Deshui Miao, Yameng Gu, Xin Li, Zhenyu He, Yaowei Wang, Ming-Hsuan Yang, Jinming Chai, Qin Ma, Junpei Zhang, Licheng Jiao, Fang Liu, Xinyu Liu, Jing Zhang, Kexin Zhang, Xu Liu, Lingling Li, Hao Fang, Feiyu Pan, Xiankai Lu, Wei Zhang, Runmin Cong, Tuyen Tran, Bin Cao, Yisi Zhang, Hanyi Wang, Xingjian He, Jing Liu |
| 2024 | ECCV | PVUW 2024 Challenge on Complex Video Understanding: Methods and Results. | Henghui Ding, Chang Liu, Yunchao Wei, Nikhila Ravi, Shuting He, Song Bai, Philip Torr, Deshui Miao, Xin Li, Zhenyu He, Yaowei Wang, Ming-Hsuan Yang, Zhensong Xu, Jiangtao Yao, Chengjing Wu, Ting Liu, Luoqi Liu, Xinyu Liu, Jing Zhang, Kexin Zhang, Yuting Yang, Licheng Jiao, Shuyuan Yang, Mingqi Gao, Jingnan Luo, Jinyu Yang, Jungong Han, Feng Zheng, Bin Cao, Yisi Zhang, Xuanxu Lin, Xingjian He, Bo Zhao, Jing Liu, Feiyu Pan, Hao Fang, Xiankai Lu |
| 2024 | ECCV | Stitched ViTs are Flexible Vision Backbones. | Zizheng Pan, Jing Liu, Haoyu He, Jianfei Cai, Bohan Zhuang |
| 2024 | ECCV | LLM as Copilot for Coarse-Grained Vision-and-Language Navigation. | Yanyuan Qiao, Qianyi Liu, Jiajun Liu, Jing Liu, Qi Wu |
| 2024 | EMNLP | Self-Bootstrapped Visual-Language Model for Knowledge Selection and Question Answering. | Dongze Hao, Qunbo Wang, Longteng Guo, Jie Jiang, Jing Liu |
| 2024 | EMNLP | Self-Evaluation of Large Language Model based on Glass-box Features. | Hui Huang, Yingqi Qu, Jing Liu, Muyun Yang, Bing Xu, Tiejun Zhao, Wenpeng Lu |
| 2024 | EMNLP | BASES: Large-scale Web Search User Simulation with Large Language Model based Agents. | Ruiyang Ren, Peng Qiu, Yingqi Qu, Jing Liu, Xin Zhao, Hua Wu, Ji-Rong Wen, Haifeng Wang |
| 2024 | EMNLP | REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering. | Yuhao Wang, Ruiyang Ren, Junyi Li, Xin Zhao, Jing Liu, Ji-Rong Wen |
| 2024 | FAST | Symbiosis: The Art of Application and Kernel Cache Cooperation. | Yifan Dai, Jing Liu, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau |
| 2024 | FPL | AMA: An Analytical Approach to Maximizing the Efficiency of Deep Learning on Versal AI Engine. | Xiaodong Deng, Shijie Wang, Tianyi Gao, Jing Liu, Longjun Liu, Nanning Zheng |
| 2024 | GECCO | Exploring Knowledge Transfer in Evolutionary Many-task Optimization: A Complex Network Perspective. | Yudong Yang, Kai Wu, Xiangyi Teng, Handing Wang, He Yu, Jing Liu |
| 2024 | GECCO | Multi-population for Multi-objective Genetic Algorithm with Adaptive Information Sharing Strategy for Berth Allocation and Quay Crane Assignment Problems. | Wanqiu Zhao, Qi Qiu, Hong Zhao, Xu Bian, He Yu, Jing Liu, Xuesong Mei |
| 2024 | GECCO | An Empirical Study of Constrained Evolutionary Algorithms for Isomorphic Connected Graph Segmentation Problems. | Feng Zhuang, Ting Huang, He Yu, Jing Liu |
| 2024 | GECCO | Pixel Logo Attack: Embedding Attacks as Logo-Like Pixels. | Jiang Zhu, Hong Zhao, He Yu, Jing Liu |
| 2024 | ICASSP | Feature-Constrained and Attention-Conditioned Distillation Learning for Visual Anomaly Detection. | Shuo Zhang, Jing Liu |
| 2024 | ICASSP | OADAS: Optimizing Global Perturbation Attacks with Dual-Path Attribution Synergy. | Xinlei Gao, Jing Liu |
| 2024 | ICASSP | Hot-Fixing Wake Word Recognition for End-to-End ASR Via Neural Model Reprogramming. | Pin-Jui Ku, I-Fan Chen, Chao-Han Huck Yang, Anirudh Raju, Pranav Dheram, Pegah Ghahremani, Brian King, Jing Liu, Roger Ren, Phani Sankar Nidadavolu |
| 2024 | ICCD | Integrating Branching and Pruning for Efficient Hyperdimensional Computing. | Jing Liu, Zhiqian Guan, Di Liu, Shengfa Miao, Fei Dai |
| 2024 | ICECCS | QuanSafe: A DTBN-Based Framework of Quantitative Safety Analysis for AADL Models. | Yiwei Zhu, Jing Liu, Haiying Sun, Wei Yin, Jiexiang Kang |
| 2024 | ICFEM | Graph Convolutional Network Robustness Verification Algorithm Based on Dual Approximation. | Dongdong An, Hao Zhang, Qin Zhao, Jing Liu, Jianqi Shi, Yanhong Huang, Yang Yang, Xu Liu, Shengchao Qin |
| 2024 | ICLR | COSA: Concatenated Sample Pretrained Vision-Language Foundation Model. | Sihan Chen, Xingjian He, Handong Li, Xiaojie Jin, Jiashi Feng, Jing Liu |
| 2024 | ICLR | EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models. | Yefei He, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang |
| 2024 | ICLR | QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models. | Jing Liu, Ruihao Gong, Xiuying Wei, Zhiwei Dong, Jianfei Cai, Bohan Zhuang |
| 2024 | ICML | Automated Loss function Search for Class-imbalanced Node Classification. | Xinyu Guo, Kai Wu, Xiaoyu Zhang, Jing Liu |
| 2024 | ICPR | Distortion Correction Sub-network for Semantic Segmentation Based on Deep Hough Transform. | Wanpeng Geng, Jing Liu, Dexin Zhang, Hui Zhang |
| 2024 | ICPR | Unsupervised Domain Adaptation for Cross-Device Iris Liveness Detection Model Transfer. | Xiuying Wu, Chenxi Du, Hui Zhang, Jing Liu, Dexin Zhang, Hang Zou |
| 2024 | ICRA | DyHGDAT: Dynamic Hypergraph Dual Attention Network for multi-agent trajectory prediction. | Weilong Lin, Xinhua Zeng, Chengxin Pang, Jing Teng, Jing Liu |
| 2024 | IJCNN | Dy-Sigma: A Generalized Accelerated Convergence Strategy for Diffusion Models. | Zhou Liu, Zheng Ye, Jing Liu, Jun Qin |
| 2024 | Interspeech | Interleaved Audio/Audiovisual Transfer Learning for AV-ASR in Low-Resourced Languages. | Zhengyang Li, Patrick Blumenberg, Jing Liu, Thomas Graave, Timo Lohrenz, Siegfried Kunzmann, Tim Fingscheidt |
| 2024 | ISPA | Hybrid Explainable Network Intrusion Detection Framework Based on Shapley Additive Explanations. | Sijin Chen, Jing Liu, Cen Chen, Songyu Xie, Zhongyao Cheng |
| 2024 | MICCAI | SegNeuron: 3D Neuron Instance Segmentation in Any EM Volume with a Generalist Model. | Yanchao Zhang, Jinyue Guo, Hao Zhai, Jing Liu, Hua Han |
| 2024 | NAACL | The Promises and Pitfalls of Using Language Models to Measure Instruction Quality in Education. | Paiheng Xu, Jing Liu, Nathan Jones, Julie Cohen, Wei Ai |
| 2024 | QRS | A Novel Approach for Traveling Salesman Problem Via Probe Machine. | Changfeng Duan, Jing Liu, Jin Xu, Dongdong An, Yu Bao |
| 2024 | QRS | Efficient Verification of Multi-Agent Systems Through Parallel. | Zhen Yao, Jing Liu, Xiaohong Chen, Li Han, Haiying Sun |
| 2024 | VTC | AoI Analysis for Automatic Repeat-Request in Vehicular Cooperative Perception Networks. | Qinan Huang, Jianhua Zeng, Chongtao Guo, Jing Liu, Haoyuan Pan |
| 2024 | SMC | Improving Knowledge Tracing Through Learning Processes and Concept Similarity Map. | Yingxu Lai, Xinyu Xu, Xiao Zhang, Xinrui Dong, Junxi Zhuang, Jing Liu |
| 2024 | SMC | SELus: Towards Spatio-Temporal Modeling and Quantitative Evaluation for Cyber-Physical Systems. | Quanguo Zhang, Jing Liu, Mingxing Liu, Yanhong Huang, Rongbin Hou, Jianqi Shi |
| 2024 | WACV | FG-Net: Facial Action Unit Detection with Generalizable Pyramidal Features. | Yufeng Yin, Di Chang, Guoxian Song, Shen Sang, Tiancheng Zhi, Jing Liu, Linjie Luo, Mohammad Soleymani |
| 2024 | WACV | Med-DANet V2: A Flexible Dynamic Architecture for Efficient Medical Volumetric Segmentation. | Haoran Shen, Yifu Zhang, Wenxuan Wang, Chen Chen, Jing Liu, Shanshan Song, Jiangyun Li |
| 2024 | SIGMOD | ESTELLE: An Efficient and Cost-effective Cloud Log Engine. | Yupu Zhang, Guanglin Cong, Jihan Qu, Ran Xu, Yuan Fu, Weiqi Li, Feiran Hu, Jing Liu, Wenliang Zhang, Kai Zheng |
| 2024 | TrustCom | RPG-Diff: Precise Adversarial Defense Based on Regional Positioning Guidance. | Haotian Wang, Jing Liu |
| 2024 | SETTA | EDSLog: Efficient Log Anomaly Detection Method Based on Dataset Partitioning. | Feng Liang, Jing Liu |
| 2023 | AAAI | SwiftAvatar: Efficient Auto-Creation of Parameterized Stylized Character on Arbitrary Avatar Engines. | Shizun Wang, Weihong Zeng, Xu Wang, Hao Yang, Li Chen, Chuang Zhang, Ming Wu, Yi Yuan, Yunzhao Zeng, Min Zheng, Jing Liu |
| 2023 | ACL | TOME: A Two-stage Approach for Model-based Retrieval. | Ruiyang Ren, Wayne Xin Zhao, Jing Liu, Hua Wu, Ji-Rong Wen, Haifeng Wang |
| 2023 | ASRU | Parameter-Efficient Cross-Language Transfer Learning for a Language-Modular Audiovisual Speech Recognition. | Zhengyang Li, Thomas Graave, Jing Liu, Timo Lohrenz, Siegfried Kunzmann, Tim Fingscheidt |
| 2023 | CEC | Surrogate-Assisted Evolution of Convolutional Neural Networks by Collaboratively Optimizing the Basic Blocks and Topologies. | Yifan Li, Jing Liu, Yang Liu |
| 2023 | CEC | Effective Robotic Swarm Shepherding in the Presence of Obstacles. | Jing Liu, Hemant K. Singh, Saber M. Elsayed, Robert A. Hunjet, Hussein A. Abbass |
| 2023 | CEC | A Reachability-Distance Based Differential Evolution With Individual Transfer for Multimodal Optimization Problems. | Hong Zhao, Xiangqian Li, Jing Liu |
| 2023 | CIKM | Online Efficient Secure Logistic Regression based on Function Secret Sharing. | Jing Liu, Jamie Cui, Cen Chen |
| 2023 | CIKM | Closed-form Machine Unlearning for Matrix Factorization. | Shuijing Zhang, Jian Lou, Li Xiong, Xiaoyu Zhang, Jing Liu |
| 2023 | CogSci | Development of Multimodal Turn Coordination in Conversations: Evidence for Adult-like behavior in Middle Childhood. | Abhishek Agrawal, Jing Liu, Kbra Bodur, Benot Favre, Abdellah Fourtassi |
| 2023 | COMPSAC | Enhancing the Formal Verification of Train Control Systems based on Decomposition. | Tengfei Li, Junfeng Sun, Xinjun Lv, Xiang Chen, Jing Liu, Haiying Sun |
| 2023 | COMPSAC | LogKT: Hybrid Log Anomaly Detection Method for Cloud Data Center. | Xuedong Ou, Jing Liu |
| 2023 | CVPR | Dynamic Focus-aware Positional Queries for Semantic Segmentation. | Haoyu He, Jianfei Cai, Zizheng Pan, Jing Liu, Jing Zhang, Dacheng Tao, Bohan Zhuang |
| 2023 | CVPR | A Global-Local Tracking Framework Driven by Both Motion and Appearance for Infrared Anti-UAV. | Yifan Li, Dian Yuan, Meng Sun, Hongyu Wang, Xiaotao Liu, Jing Liu |
| 2023 | CVPR | MOSO: Decomposing MOtion, Scene and Object for Video Prediction. | Mingzhen Sun, Weining Wang, Xinxin Zhu, Jing Liu |
| 2023 | CVPR | OmniAvatar: Geometry-Guided Controllable 3D Head Synthesis. | Hongyi Xu, Guoxian Song, Zihang Jiang, Jianfeng Zhang, Yichun Shi, Jing Liu, Wan-Chun Ma, Jiashi Feng, Linjie Luo |
| 2023 | CVPR | Video Event Restoration Based on Keyframes for Video Anomaly Detection. | Zhiwei Yang, Jing Liu, Zhaoyang Wu, Peng Wu, Xiaotao Liu |
| 2023 | CVPR | Boosting Verified Training for Robust Image Classifications via Abstraction. | Zhaodi Zhang, Zhiyi Xue, Yang Chen, Si Liu, Yueling Zhang, Jing Liu, Min Zhang |
| 2023 | EMNLP | A Thorough Examination on Zero-shot Dense Retrieval. | Ruiyang Ren, Yingqi Qu, Jing Liu, Xin Zhao, Qifei Wu, Yuchen Ding, Hua Wu, Haifeng Wang, Ji-Rong Wen |
| 2023 | ICANN | SAL: Salient Adversarial Attack with LRP Refinement. | Xinlei Gao, Jing Liu |
| 2023 | ICASSP | Robust Acoustic And Semantic Contextual Biasing In Neural Transducers For Speech Recognition. | Xuandi Fu, Kanthashree Mysore Sathyendra, Ankur Gandhe, Jing Liu, Grant P. Strimel, Ross McGowan, Athanasios Mouchtaris |
| 2023 | ICASSP | MSN-net: Multi-Scale Normality Network for Video Anomaly Detection. | Yang Liu, Di Li, Wei Zhu, Dingkang Yang, Jing Liu, Liang Song |
| 2023 | ICASSP | WL-MSR: Watch and Listen for Multimodal Subtitle Recognition. | Jiawei Liu, Hao Wang, Weining Wang, Xingjian He, Jing Liu |
| 2023 | ICASSP | Procter: Pronunciation-Aware Contextual Adapter For Personalized Speech Recognition In Neural Transducers. | Rahul Pandey, Roger Ren, Qi Luo, Jing Liu, Ariya Rastrow, Ankur Gandhe, Denis Filimonov, Grant P. Strimel, Andreas Stolcke, Ivan Bulyko |
| 2023 | ICASSP | Dual-Attention Neural Transducers for Efficient Wake Word Spotting in Speech Recognition. | Saumya Y. Sahai, Jing Liu, Thejaswi Muniyappa, Kanthashree Mysore Sathyendra, Anastasios Alexandridis, Grant P. Strimel, Ross McGowan, Ariya Rastrow, Feng-Ju Chang, Athanasios Mouchtaris, Siegfried Kunzmann |
| 2023 | ICASSP | A Novel Efficient Multi-View Traffic-Related Object Detection Framework. | Kun Yang, Jing Liu, Dingkang Yang, Hanqi Wang, Peng Sun, Yanni Zhang, Yan Liu, Liang Song |
| 2023 | ICASSP | Anomalous Signal Detection for Cyber-Physical Systems Using Interpretable Causal Neural Network. | Shuo Zhang, Jing Liu |
| 2023 | ICCV | BiViT: Extremely Compressed Binary Vision Transformers. | Yefei He, Zhenyu Lou, Luoming Zhang, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang |
| 2023 | ICCV | LoTE-Animal: A Long Time-span Dataset for Endangered Animal Behavior Understanding. | Dan Liu, Jin Hou, Shaoli Huang, Jing Liu, Yuxin He, Bochuan Zheng, Jifeng Ning, Jindong Zhang |
| 2023 | ICCV | March in Chat: Interactive Prompting for Remote Embodied Referring Expression. | Yanyuan Qiao, Yuankai Qi, Zheng Yu, Jing Liu, Qi Wu |
| 2023 | ICCV | AIDE: A Vision-Driven Multi-View, Multi-Modal, Multi-Tasking Dataset for Assistive Driving Perception. | Dingkang Yang, Shuai Huang, Zhi Xu, Zhenpeng Li, Shunli Wang, Mingcheng Li, Yuzheng Wang, Yang Liu, Kun Yang, Zhaoyu Chen, Yan Wang, Jing Liu, Peixuan Zhang, Peng Zhai, Lihua Zhang |
| 2023 | ICCV | Spatio-Temporal Domain Awareness for Multi-Agent Collaborative Perception. | Kun Yang, Dingkang Yang, Jingyu Zhang, Mingcheng Li, Yang Liu, Jing Liu, Hanqi Wang, Peng Sun, Liang Song |
| 2023 | ICDE | Unsupervised Feature Learning Architecture with Multi-clustering Integration RBM. | Jielei Chu, Hongjun Wang, Jing Liu, Zhiguo Gong, Tianrui Li |
| 2023 | ICECCS | Ont4Sys: Ontology-based tool of Semantic Representation and Verification for Traceability Models. | Qian Wang, Jing Liu, John Zhang, Hui Dou, Haiying Sun, HongTao Chen, Xiaohong Chen, Jifeng He |
| 2023 | ICIG | CSDNet: Contrastive Similarity Distillation Network for Multi-lingual Image-Text Retrieval. | Shichen Lu, Longteng Guo, Xingjian He, Xinxin Zhu, Jing Liu, Si Liu |
| 2023 | ICNC | Research on State Data Mining Technology of Primary and Distribution Collaborative Grid Based on Low Code Credibility. | Yingbao Cui, Qing Guo, Jing Liu, ShuLe Mao, LinYu Zhang, Wei Zhou |
| 2023 | ICNC | Transmission line inspection models improved by synthetic data from diffusion models. | Jing Liu, Jiangbin Yu, Xiaodong Wang, Wenping Nie, Linyu Zhang, Zhengguo Pu |
| 2023 | ICONIP | Inter-modal Fusion Network with Graph Structure Preserving for Fake News Detection. | Jing Liu, Fei Wu, Hao Jin, Xiaoke Zhu, Xiao-Yuan Jing |
| 2023 | ICPADS | PM2.5 Pollution Prediction Service based on Mogrifier LSTM Model. | Jing Liu, Ming Lian |
| 2023 | ICPADS | Spatial and Temporal Dual-Scale Adaptive Pruning for Point Cloud Videos. | Songyu Xie, Jing Liu, Cen Chen, Zhongyao Cheng |
| 2023 | IJCAI | Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation. | Yanrui Du, Jing Yan, Yan Chen, Jing Liu, Sendong Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Bing Qin |
| 2023 | IJCAI | A Survey on Efficient Training of Transformers. | Bohan Zhuang, Jing Liu, Zizheng Pan, Haoyu He, Yuetian Weng, Chunhua Shen |
| 2023 | IJCNN | A Semantic and Structural Transformer for Code Summarization Generation. | Ruyi Ji, Zhenyu Tong, Tiejian Luo, Jing Liu, Libo Zhang |
| 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 | IJCNN | LpAdvGAN: Noise Optimization Based Adversarial Network Generation Adversarial Example. | Delong Yang, Jing Liu |
| 2023 | Interspeech | Model-Internal Slot-triggered Biasing for Domain Expansion in Neural Transducer ASR Models. | Yiting Lu, Philip Harding, Kanthashree Mysore Sathyendra, Sibo Tong, Xuandi Fu, Jing Liu, Feng-Ju Chang, Simon Wiesler, Grant P. Strimel |
| 2023 | QRS | Automatic Generation of Component Fault Trees from AADL Models for Design Failure Modes and Effects Analysis. | Xiongpeng Hu, Jing Liu, Hui Dou, HongTao Chen, Yuhong Zhang |
| 2023 | QRS | Optimal Second-Order Mutants Reduction Based on MOEA/D. | Jing Liu, Zijian Wang |
| 2023 | VTC | Full-Link AoI Analysis of Uplink Transmission in Next-Generation FTTR WLANs. | Jing Zhang, Jing Liu, Lin Xiang, Xiaohu Ge |
| 2023 | SMC | Distance Constrained Robotic Swarm Shepherding Based on Two-Phase Ant Colony Optimisation. | Jing Liu, Hemant K. Singh, Saber M. Elsayed, Robert A. Hunjet, Hussein A. Abbass |
| 2023 | SIGIR | MAMO: Fine-Grained Vision-Language Representations Learning with Masked Multimodal Modeling. | Zijia Zhao, Longteng Guo, Xingjian He, Shuai Shao, Zehuan Yuan, Jing Liu |
| 2023 | SEKE | Modeling and Verification of Autonomous Driving Systems under Stochastic Spatio-Temporal Constraints. | Mengyuan Wang, Tengfei Li, Jing Liu, Hui Dou, HongTao Chen, John Zhang, Lipeng Zhang |
| 2023 | WISE | Multivariate Time Series Anomaly Detection Based on Graph Neural Network for Big Data Scheduling System. | Shipeng Zhang, Jing Liu |
| 2022 | AAAI | Less Is More: Pay Less Attention in Vision Transformers. | Zizheng Pan, Bohan Zhuang, Haoyu He, Jing Liu, Jianfei Cai |
| 2022 | ACL | DuReader | Le Qi, Shangwen Lv, Hongyu Li, Jing Liu, Yu Zhang, Qiaoqiao She, Hua Wu, Haifeng Wang, Ting Liu |
| 2022 | APSEC | SysML Flow Model. | Guohuan Ding, Jing Liu |
| 2022 | APWEB | An Energy-efficient Routing Protocol Based on DPC-MND Clustering in WSNs. | Feng Xu, Jing Liu, Panfei Liu |
| 2022 | CCS | Matproofs: Maintainable Matrix Commitment with Efficient Aggregation. | Jing Liu, Liang Feng Zhang |
| 2022 | COMPSAC | PPDS: Privacy Preserving Data Sharing for AI applications Based on Smart Contracts. | Xuesong Hai, Jing Liu |
| 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 | ECCV | Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 Challenge: Report. | Andrey Ignatov, Radu Timofte, Maurizio Denna, Abdel Younes, Ganzorig Gankhuyag, Jingang Huh, Myeong Kyun Kim, Kihwan Yoon, Hyeon-Cheol Moon, Seungho Lee, Yoonsik Choe, Jinwoo Jeong, Sungjei Kim, Maciej Smyl, Tomasz Latkowski, Pawel Kubik, Michal Sokolski, Yujie Ma, Jiahao Chao, Zhou Zhou, Hongfan Gao, Zhengfeng Yang, Zhenbing Zeng, Zhengyang Zhuge, Chenghua Li, Dan Zhu, Mengdi Sun, Ran Duan, Yan Gao, Lingshun Kong, Long Sun, Xiang Li, Xingdong Zhang, Jiawei Zhang, Yaqi Wu, Jinshan Pan, Gaocheng Yu, Jin Zhang, Feng Zhang, Zhe Ma, Hongbin Wang, Hojin Cho, Steve Kim, Huaen Li, Yanbo Ma, Ziwei Luo, Youwei Li, Lei Yu, Zhihong Wen, Qi Wu, Haoqiang Fan, Shuaicheng Liu, Lize Zhang, Zhikai Zong, Jeremy Kwon, Junxi Zhang, Mengyuan Li, Nianxiang Fu, Guanchen Ding, Han Zhu, Zhenzhong Chen, Gen Li, Yuanfan Zhang, Lei Sun, Dafeng Zhang, Neo Yang, Fitz Liu, Jerry Zhao, Mustafa Ayazoglu, Bahri Batuhan Bilecen, Shota Hirose, Kasidis Arunruangsirilert, Luo Ao, Ho Chun Leung, Andrew Wei, Jie Liu, Qiang Liu, Dahai Yu, Ao Li, Lei Luo, Ce Zhu, Seongmin Hong, Dongwon Park, Joonhee Lee, Byeong Hyun Lee, Seunggyu Lee, Se Young Chun, Ruiyuan He, Xuhao Jiang, Haihang Ruan, Xinjian Zhang, Jing Liu, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He |
| 2022 | ECCV | Dynamic Local Aggregation Network with Adaptive Clusterer for Anomaly Detection. | Zhiwei Yang, Peng Wu, Jing Liu, Xiaotao Liu |
| 2022 | EMNLP | DuReader-Retrieval: A Large-scale Chinese Benchmark for Passage Retrieval from Web Search Engine. | Yifu Qiu, Hongyu Li, Yingqi Qu, Ying Chen, Qiaoqiao She, Jing Liu, Hua Wu, Haifeng Wang |
| 2022 | EMNLP | DuQM: A Chinese Dataset of Linguistically Perturbed Natural Questions for Evaluating the Robustness of Question Matching Models. | Hongyu Zhu, Yan Chen, Jing Yan, Jing Liu, Yu Hong, Ying Chen, Hua Wu, Haifeng Wang |
| 2022 | ESORICS | Two Types of Novel DoS Attacks Against CDNs Based on HTTP/2 Flow Control Mechanism. | Hengxian Song, Jing Liu, Jianing Yang, Xinyu Lei, Gang Xue |
| 2022 | GECCO | Localized distance and time-based differential evolution for multimodal optimization problems. | Hong Zhao, Jiarui Li, Jing Liu |
| 2022 | ICANN | PlAA: Pixel-level Adversarial Attack on Attention for Deep Neural Network. | Huailin Liu, Jing Liu |
| 2022 | ICASSP | Multi-Task RNN-T with Semantic Decoder for Streamable Spoken Language Understanding. | Xuandi Fu, Feng-Ju Chang, Martin Radfar, Kai Wei, Jing Liu, Grant P. Strimel, Kanthashree Mysore Sathyendra |
| 2022 | ICASSP | Learning Task-Specific Representation for Video Anomaly Detection with Spatial-Temporal Attention. | Yang Liu, Jing Liu, Xiaoguang Zhu, Donglai Wei, Xiaohong Huang, Liang Song |
| 2022 | ICASSP | Contextual Adapters for Personalized Speech Recognition in Neural Transducers. | Kanthashree Mysore Sathyendra, Thejaswi Muniyappa, Feng-Ju Chang, Jing Liu, Jinru Su, Grant P. Strimel, Athanasios Mouchtaris, Siegfried Kunzmann |
| 2022 | ICASSP | Look, Listen and Pay More Attention: Fusing Multi-Modal Information for Video Violence Detection. | Donglai Wei, Chen-Geng Liu, Yang Liu, Jing Liu, Xiao-Guang Zhu, Xinhua Zeng |
| 2022 | ICDCS | Downscaling and Overflow-aware Model Compression for Efficient Vision Processors. | Haokun Li, Jing Liu, Liancheng Jia, Yun Liang, Yaowei Wang, Mingkui Tan |
| 2022 | ICDM | Higher-Order Masked Graph Neural Networks for Traffic Flow Prediction. | Kaixin Yuan, Jing Liu, Jian Lou |
| 2022 | ICMI | Predicting Backchannel Signaling in Child-Caregiver Multimodal Conversations. | Jing Liu, Mitja Nikolaus, Kbra Bodur, Abdellah Fourtassi |
| 2022 | ICONIP | MAR2MIX: A Novel Model for Dynamic Problem in Multi-agent Reinforcement Learning. | Gaoyun Fang, Yang Liu, Jing Liu, Liang Song |
| 2022 | IGARSS | High-resolution Mapping of Forest Canopy Height by Integrating Sentinel and airborne LiDAR data. | Ya Zhang, Xianwei Liu, Jing Liu, Longhui Li |
| 2022 | IJCAI | Emotion Recognition from EEG Using All-Convolution Residual Neural Network. | Hongyuan Xuan, Jing Liu, Penghui Yang, Guanghua Gu, Dong Cui |
| 2022 | ICPR | Exploiting Spatial-temporal Correlations for Video Anomaly Detection. | Mengyang Zhao, Yang Liu, Jing Liu, Xinhua Zeng |
| 2022 | IJCNN | Abnormal Event Detection with Self-guiding Multi-instance Ranking Framework. | Yang Liu, Jing Liu, Wei Ni, Liang Song |
| 2022 | ISCAS | Attention-Based Auto-Encoder Framework for Abnormal Driving Detection. | Jing Liu, Yang Liu, Donglai Wei, Wei Ni, Xinhua Zeng, Liang Song |
| 2022 | ISCAS | Multi-level Attention Fusion for Multimodal Driving Maneuver Recognition. | Jing Liu, Yang Liu, Chengwen Tian, Mengyang Zhao, Xinhua Zeng, Liang Song |
| 2022 | ISIT | Robust Mean Estimation in High Dimensions: An Outlier Fraction Agnostic and Efficient Algorithm. | Aditya Deshmukh, Jing Liu, Venugopal V. Veeravalli |
| 2022 | KSEM | Single Pollutant Prediction Approach by Fusing MLSTM and CNN. | Ming Lian, Jing Liu |
| 2022 | QRS | Uncertainty-Aware Behavior Modeling and Quantitative Safety Evaluation for Automatic Flight Control Systems. | Huiyu Liu, Jing Liu, Haiying Sun, Tengfei Li, John Zhang |
| 2022 | QRS | Safety SysML: An Executable Safety-Critical Avionics Requirement Modeling Language. | Huiyu Liu, Jing Liu, Wei Yin, Haiying Sun, Chenchen Yang |
| 2022 | QRS | Log Anomaly Detection Method based on Hybrid Transformer-BiLSTM Models. | Xuedong Ou, Jing Liu |
| 2022 | QRS | A Novel Approach for Bounded Model Checking Through Full Parallelism. | Debao Sang, Jing Liu, Haiying Sun, Jin Xu, Jiexiang Kang |
| 2022 | QRS | EWDLL: Software Aging State Identification based on LightGBM-LR Hybrid Model. | Xueyong Tan, Jing Liu |
| 2022 | QRS | MC/DC Test Case Automatic Generation for Safety-Critical Systems. | Cong Wang, Haiying Sun, Hui Dou, HongTao Chen, Jing Liu |
| 2022 | VTC | An Anti-Interference On-Demand Routing Algorithm for LEO Satellite Networks. | Siqi Peng, Jing Liu, Hengyu Weng |
| 2022 | VTC | Load Balancing Routing Algorithm with Traffic Pre-shunting in the LEO Satellite Network. | Wudong Shi, Jing Liu, Shuyang Liu |
| 2022 | SMC | A Routing Algorithm Based on Optimistic Path Analysis. | Jing Liu, Haijian Yu, Yifu Zhang, Wei Hu |
| 2022 | SMC | A Fault-Tolerant Scheduling Algorithm Based on Local Maximum Reliability Replication Strategy in Real-Time Heterogeneous Systems. | Dengfeng Mao, Wei Hu, Yu Gan, Jing Liu, Haonan Gu |
| 2022 | SEKE | A Novel Approach to Maintain Traceability between Safety Requirements and Model Design. | Qian Wang, Jing Liu, John Zhang, Hui Dou, Haiying Sun, HongTao Chen, Xiaohong Chen, Jifeng He |
| 2022 | SiggraphA | AgileAvatar: Stylized 3D Avatar Creation via Cascaded Domain Bridging. | Shen Sang, Tiancheng Zhi, Guoxian Song, Minghao Liu, Chun-Pong Lai, Jing Liu, Xiang Wen, James Davis, Linjie Luo |
| 2022 | UIC | Two-sided Online Stable Task Assignment with Incomplete Lists and Ties in Spatial Crowdsourcing. | Weiyi Huang, Peng Li, Bo Li, Jing Liu, Lei Nie, Haizhou Bao |
| 2021 | AAAI | Consistent-Separable Feature Representation for Semantic Segmentation. | Xingjian He, Jing Liu, Jun Fu, Xinxin Zhu, Jinqiao Wang, Hanqing Lu |
| 2021 | ACL | Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions. | Dorottya Demszky, Jing Liu, Zid Mancenido, Julie Cohen, Heather Hill, Dan Jurafsky, Tatsunori Hashimoto |
| 2021 | ACL | PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval. | Ruiyang Ren, Shangwen Lv, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Ji-Rong Wen |
| 2021 | ACL | DuReader_robust: A Chinese Dataset Towards Evaluating Robustness and Generalization of Machine Reading Comprehension in Real-World Applications. | Hongxuan Tang, Hongyu Li, Jing Liu, Yu Hong, Hua Wu, Haifeng Wang |
| 2021 | ACSSC | High-Dimensional Robust Mean Estimation via Outlier-Sparsity Minimization. | Aditya Deshmukh, Jing Liu, Venugopal V. Veeravalli |
| 2021 | ASRU | Context-Aware Transformer Transducer for Speech Recognition. | Feng-Ju Chang, Jing Liu, Martin Radfar, Athanasios Mouchtaris, Maurizio Omologo, Ariya Rastrow, Siegfried Kunzmann |
| 2021 | ASRU | Attentive Contextual Carryover for Multi-Turn End-to-End Spoken Language Understanding. | Kai Wei, Thanh Tran, Feng-Ju Chang, Kanthashree Mysore Sathyendra, Thejaswi Muniyappa, Jing Liu, Anirudh Raju, Ross McGowan, Nathan Susanj, Ariya Rastrow, Grant P. Strimel |
| 2021 | CEC | A Dynamic Multiagent Genetic Algorithm for Optimal Charging in Wireless Rechargeable Sensor Networks. | Yating Cao, Jing Liu, Zhouwu Xu |
| 2021 | CEC | A Memetic Algorithm for Optimizing Inter-links to Enhance the Robustness of Interdependent Networks Against Malicious Attacks. | Junyuan Chen, Jing Liu |
| 2021 | CEC | MOEA/D Using Dynamic Weight Vectors and Stable Matching Schemes for the Deployment of Multiple Airships in the Earth Observing System. | Zhouwu Xu, Jing Liu, Baihao Qiao, Yating Cao |
| 2021 | CIKM | Two-tier Graph Contextual Embedding for Cross-device User Matching. | Hongren Huang, Shu Guo, Chen Li, Jiawei Sheng, Lihong Wang, Jianxin Li, Jing Liu, Shenghai Zhong |
| 2021 | COMPSAC | Second-Order Mutation Testing Cost Reduction Based on Mutant Clustering using SOM Neural Network Model. | Jing Liu, Li Song |
| 2021 | COMPSAC | Uncertainty Modeling and Quantitative Evaluation of Cyber-physical Systems. | Chenchen Yang, Haiying Sun, Jing Liu, Jiexiang Kang, Wei Yin, Hui Wang, Tengfei Li |
| 2021 | CSCWD | Potential User Prediction for Financial APP Based on Random Forest Model. | Yang Gao, Jing Liu |
| 2021 | CSCWD | Latent Clues Investigation in Discipline Inspection and Supervision Based on Knowledge Graph Analysis. | Yang Gao, Jing Liu |
| 2021 | CSCWD | Blockchain based Secure Data Sharing Model. | Shi Wang, Jing Liu |
| 2021 | CVPR | Boosting the Performance of Video Compression Artifact Reduction With Reference Frame Proposals and Frequency Domain Information. | Yi Xu, Minyi Zhao, Jing Liu, Xinjian Zhang, Longwen Gao, Shuigeng Zhou, Huyang Sun |
| 2021 | CVPR | AQD: Towards Accurate Quantized Object Detection. | Peng Chen, Jing Liu, Bohan Zhuang, Mingkui Tan, Chunhua Shen |
| 2021 | EMNLP | RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking. | Ruiyang Ren, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Ji-Rong Wen |
| 2021 | EMO | Pareto Optimization for Influence Maximization in Social Networks. | Kai Wu, Jing Liu, Chao Wang, Kaixin Yuan |
| 2021 | HCI | Consumer Experience Research Based on the Background of Experience Economy and Digital Economy. | Jing Liu, Zhen Liu |
| 2021 | ICCV | HAIR: Hierarchical Visual-Semantic Relational Reasoning for Video Question Answering. | Fei Liu, Jing Liu, Weining Wang, Hanqing Lu |
| 2021 | ICCV | Scalable Vision Transformers with Hierarchical Pooling. | Zizheng Pan, Bohan Zhuang, Jing Liu, Haoyu He, Jianfei Cai |
| 2021 | ICIG | Keypoint Context Aggregation for Human Pose Estimation. | Wenzhu Wu, Weining Wang, Longteng Guo, Jing Liu |
| 2021 | ICIG | Pruning the Seg-Edge Bilateral Constraint Fully Convolutional Network for Iris Segmentation. | Hui Zhang, Junxing Hu, Jing Liu, Zhaofeng He, Xingguang Li, Lihu Xiao |
| 2021 | ICIP | Temporal Memory Attention for Video Semantic Segmentation. | Hao Wang, Weining Wang, Jing Liu |
| 2021 | ICIS | Relational Time Series Forecasting for Retail Drugstores: A Graph Neural Network Approach. | Jing Liu, Gang Wang, Lihua Huang |
| 2021 | ICML | A Novel Method to Solve Neural Knapsack Problems. | Duanshun Li, Jing Liu, Dongeun Lee, Ali Seyedmazloom, Giridhar Kaushik, Kookjin Lee, Noseong Park |
| 2021 | ICONIP | Stack Multiple Shallow Autoencoders into a Strong One: A New Reconstruction-Based Method to Detect Anomaly. | Hanqi Wang, Xing Hu, Liang Song, Guanhua Zhang, Yang Liu, Jing Liu, Linhua Jiang |
| 2021 | IJCNN | Safe Reinforcement Learning for CPSs via Formal Modeling and Verification. | Chenchen Yang, Jing Liu, Haiying Sun, Junfeng Sun, Xiang Chen, Lipeng Zhang |
| 2021 | Interspeech | Phonetically Induced Subwords for End-to-End Speech Recognition. | Vasileios Papadourakis, Markus Mller, Jing Liu, Athanasios Mouchtaris, Maurizio Omologo |
| 2021 | ICTAI | Improving Peer Assessment Accuracy by Incorporating Grading Behaviors. | Jia Xu, Jing Liu, Pin Lv, Panyuan Yang |
| 2021 | ISCC | Dependable Reinforcement Learning via Timed Differential Dynamic Logic. | Runhao Wang, Yuhong Zhang, Haiying Sun, Jing Liu |
| 2021 | ISPA | Energy-Efficient Scheduling Algorithms with Reliability Goal on Heterogeneous Embedded Systems. | Yu Han, Wei Hu, Jing Liu, Yu Gan |
| 2021 | ISPA | Decrease Iteration Time Deterministic Cyclic Scheduling for Real-time Periodic Tasks. | Mingqi Li, Hong Guo, Jing Liu, Yu Gan, Wei Hu |
| 2021 | KDD | Large-Scale Data-Driven Airline Market Influence Maximization. | Duanshun Li, Jing Liu, Jinsung Jeon, Seoyoung Hong, Thai Le, Dongwon Lee, Noseong Park |
| 2021 | MICCAI | A Data-Driven Approach for High Frame Rate Synthetic Transmit Aperture Ultrasound Imaging. | Yinran Chen, Jing Liu, Jianwen Luo, Xiongbiao Luo |
| 2021 | NAACL | RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering. | Yingqi Qu, Yuchen Ding, Jing Liu, Kai Liu, Ruiyang Ren, Wayne Xin Zhao, Daxiang Dong, Hua Wu, Haifeng Wang |
| 2021 | QRS | ACLM: Software Aging Prediction of Virtual Machine Monitor Based on Attention Mechanism of CNN-LSTM Model. | Xueyong Tan, Jing Liu |
| 2021 | SMC | Permanent fault-tolerant scheduling in heterogeneous multi-core real-time systems. | Di Cheng, Wei Hu, Jing Liu, Yu Gan, Jianhua Lu |