| 2026 | AAAI | Q Cache: Visual Attention Is Valuable in Less than Half of Decode Layers for Multimodal Large Language Model. | Jiedong Zhuang, Lu Lu, Ming Dai, Rui Hu, Jian Chen, Qiang Liu, Haoji Hu |
| 2026 | ACL | RLShield: Dynamic Jailbreak Detection for LLMs via Reinforced Adaptive Learning. | Zhao Tong, Pengfei Yang, Yimeng Gu, Haichao Shi, Qiang Liu, Xingcheng Xu, Shu Wu, Xiao-Yu Zhang |
| 2026 | ACL | MorphoBench: A Benchmark with Difficulty Adaptive to Model Reasoning. | Xukai Wang, Xuanbo Liu, Mingrui Chen, Haitian Zhong, Xuanlin Yang, Bohan Zeng, Jinbo Hu, Hao Liang, Junbo Niu, Xuchen Li, Ruitao Wu, Ruichuan An, Yang Shi, Liu Liu, Qiang Liu, Zhouchen Lin, Xu-Yao Zhang, Wentao Zhang, Bin Dong |
| 2026 | ACL | From Completion to Editing: Unlocking Context-Aware Code Infilling via Search-and-Replace Instruction Tuning. | Jiajun Zhang, Zeyu Cui, Jiaxi Yang, Lei Zhang, Yuheng Jing, Zeyao Ma, Tianyi Bai, Zilei Wang, Qiang Liu, Liang Wang, Binyuan Hui, Junyang Lin |
| 2026 | ACL | RealChart2Code: Bridging the Gap in Real-World Chart-to-Code Generation via Multi-Task Evaluation. | Jiajun Zhang, Yuying Li, Zhixun Li, Xingyu Guo, Jingzhuo Wu, Leqi Zheng, Yiran Yang, Jianke Zhang, Qingbin Li, Shannan Yan, Changguo Jia, Junfei Wu, Zilei Wang, Qiang Liu, Liang Wang |
| 2026 | ASPDAC | An Efficient Defense Method Based on Progressive Fault-Aware Training and JS Divergence-Guided TMR for DNNs against Bit-Flip Attacks. | Huarun Zhou, Ran Dong, Zhaohui Guo, Qiang Liu |
| 2026 | ASPLOS | RedFuser: An Automatic Operator Fusion Framework for Cascaded Reductions on AI Accelerators. | Xinsheng Tang, Yangcheng Li, Nan Wang, Zhiyi Shu, Xingyu Ling, Junna Xing, Peng Zhou, Qiang Liu |
| 2026 | DASFAA | Large Language Model-Enhanced Dense Retrieval for Food-Related Search on Meituan. | Yuluo Chen, Haorui Li, Tai Guo, Junda She, Siyu Lu, Qiang Liu, Jun Lei, Xingxing Wang, Cheng Yang |
| 2026 | FAST | Cost-efficient Archive Cloud Storage with Tape: Design and Deployment. | Qing Wang, Fan Yang, Qiang Liu, Geng Xiao, Yongpeng Chen, Hao Lan, Leiming Chen, Bangzhu Chen, Chenrui Liu, Pingchang Bai, Bin Huang, Zigan Luo, Mingyu Xie, Yu Wang, Youyou Lu, Huatao Wu, Jiwu Shu |
| 2026 | FCCM | EDSSC: An Efficient FPGA-based Accelerator for Dynamic Sparse Spectral Clustering. | Zhengyan Liu, Ce Guo, Zehuan Zhang, Qiang Liu, Wayne Luk |
| 2026 | FPGA | CODESCA: Co-Design for Spectral Clustering Acceleration. | Zhengyan Liu, Ce Guo, Zehuan Zhang, Qiang Liu, Wayne Luk |
| 2026 | ICPR | Learning Cognitive-Aware Representations for Imaging-Based Diagnosis of Alzheimer's Disease. | Huan Yu, Yanteng Zhang, Yuxiang Wei, Yibing Fu, Siyuan Mei, Qiang Liu, Vince D. Calhoun |
| 2026 | INFOCOM | oneTwin: Online Digital Network Twin via Neural Radio Radiance Field. | Yuru Zhang, Ming Zhao, Qiang Liu, Nakjung Choi |
| 2026 | INFOCOM | inRAN: Interpretable Online Bayesian Learning for Network Automation in Open Radio Access Networks. | Ming Zhao, Yuru Zhang, Qiang Liu, Ahan Kak, Nakjung Choi |
| 2026 | ISCAS | SNTT: A Sparsity-aware NTT Accelerator Based on FPGA for Zero-Knowledge Proof. | Zihang Guo, Qiang Liu, Ray C. C. Cheung, Zhaohui Guo |
| 2026 | ISCAS | Efficient Hardware-Oriented Approximation of Mish Activation Function and Its Realization. | Junting Liu, Mingyu Shu, Qiang Liu |
| 2026 | SIGGRAPH | Non-line-of-sight imaging with arbitrary relay surface geometries via 3D Gaussian Transient Rendering. | Yi Wang, Ziyu Zhan, Yuran Wang, Hao Wang, Qiang Liu, Zuoqiang Shi, Lingyun Qiu, Xing Fu |
| 2026 | WWW | From Prediction to Understanding: Leveraging Reasoning in Large Language Model-based Recommendations. | Zhi-Yuan Chen, Siyu Lu, Qiang Liu, Xingxing Wang, Yankai Lin |
| 2026 | WWW | What Should I Cite? A RAG Benchmark for Academic Citation Prediction. | Leqi Zheng, Jiajun Zhang, Canzhi Chen, Chaokun Wang, Hongwei Li, Yuying Li, Yaoxin Mao, Shannan Yan, Zixin Song, Zhiyuan Feng, Zhaolu Kang, Zirong Chen, Hang Zhang, Qiang Liu, Liang Wang, Ziyang Liu |
| 2026 | WSDM | A Joint Auction Framework with Externalities and Adaptation. | Chun Fang, Luowen Liu, Kun Huang, Tao Ruan, Sheng Yan, Zhen Wang, Huan Li, Qiang Liu, Xingxing Wang |
| 2025 | AAAI | CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation. | Yuting Liu, Jinghao Zhang, Yizhou Dang, Yuliang Liang, Qiang Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang |
| 2025 | AAAI | ST3: Accelerating Multimodal Large Language Model by Spatial-Temporal Visual Token Trimming. | Jiedong Zhuang, Lu Lu, Ming Dai, Rui Hu, Jian Chen, Qiang Liu, Haoji Hu |
| 2025 | ACL | Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models. | Xinlong Chen, Yuanxing Zhang, Qiang Liu, Junfei Wu, Fuzheng Zhang, Tieniu Tan |
| 2025 | ACL | VidCapBench: A Comprehensive Benchmark of Video Captioning for Controllable Text-to-Video Generation. | Xinlong Chen, Yuanxing Zhang, Chongling Rao, Yushuo Guan, Jiaheng Liu, Fuzheng Zhang, Chengru Song, Qiang Liu, Di Zhang, Tieniu Tan |
| 2025 | ACL | A²ATS: Retrieval-Based KV Cache Reduction via Windowed Rotary Position Embedding and Query-Aware Vector Quantization. | Junhui He, Junna Xing, Nan Wang, Rui Xu, Shangyu Wu, Peng Zhou, Qiang Liu, Chun Jason Xue, Qingan Li |
| 2025 | ACL | Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG. | Xin Sun, Jianan Xie, Zhongqi Chen, Qiang Liu, Shu Wu, Yuehe Chen, Bowen Song, Zilei Wang, Weiqiang Wang, Liang Wang |
| 2025 | ACL | Generate First, Then Sample: Enhancing Fake News Detection with LLM-Augmented Reinforced Sampling. | Zhao Tong, Yimeng Gu, Huidong Liu, Qiang Liu, Shu Wu, Haichao Shi, Xiao-Yu Zhang |
| 2025 | ACL | Personalized Text Generation with Contrastive Activation Steering. | Jinghao Zhang, Yuting Liu, Wenjie Wang, Qiang Liu, Shu Wu, Liang Wang, Tat-Seng Chua |
| 2025 | ACL | SINCon: Mitigate LLM-Generated Malicious Message Injection Attack for Rumor Detection. | Mingqing Zhang, Qiang Liu, Xiang Tao, Shu Wu, Liang Wang |
| 2025 | AISTATS | Memory-Efficient Optimization with Factorized Hamiltonian Descent. | Son Nguyen, Lizhang Chen, Bo Liu, Qiang Liu |
| 2025 | AISTATS | SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity. | Peihao Wang, Zhiwen Fan, Dejia Xu, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra |
| 2025 | AsiaCCS | REFLECTA: Reflection-based Scalable and Semantic Scripting Language Fuzzing. | Chibin Zhang, Gwangmu Lee, Qiang Liu, Mathias Payer |
| 2025 | ASPDAC | ACLAM: Accuracy-Configurable Logarithmic Approximate Floating-point Multiplier. | Zhongyu Guan, Qiang Liu, Guangdong Lin |
| 2025 | AVSS | Improved Transformer Attention Neural Network for Cognitive Estimation from Brain sMRI. | Yanteng Zhang, Songheng Li, Congyu Zou, Qiang Liu, Vince D. Calhoun |
| 2025 | CVPR | AMO Sampler: Enhancing Text Rendering with Overshooting. | Xixi Hu, Keyang Xu, Bo Liu, Qiang Liu, Hongliang Fei |
| 2025 | CVPR | Steepest Descent Density Control for Compact 3D Gaussian Splatting. | Peihao Wang, Yuehao Wang, Dilin Wang, Sreyas Mohan, Zhiwen Fan, Lemeng Wu, Ruisi Cai, Yu-Ying Yeh, Zhangyang Wang, Qiang Liu, Rakesh Ranjan |
| 2025 | CVPR | InsightEdit: Towards Better Instruction Following for Image Editing. | Yingjing Xu, Jie Kong, Jiazhi Wang, Xiao Pan, Bo Lin, Qiang Liu |
| 2025 | DASFAA | Towards Unified Modeling for Positive and Negative Preferences in Sign-Aware Recommendation. | Yuting Liu, Yizhou Dang, Yuliang Liang, Qiang Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang |
| 2025 | EMNLP | Attention-guided Self-reflection for Zero-shot Hallucination Detection in Large Language Models. | Qiang Liu, Xinlong Chen, Yue Ding, Bowen Song, Weiqiang Wang, Shu Wu, Liang Wang |
| 2025 | EMNLP | Toolscaler: Scalable Generative Tool Calling via Structure-Aware Semantic Tokenization. | Yunyue Su, Zhang Jinshuai, Bowen Fang, Wen Ye, Jinghao Zhang, Bowen Song, Weiqiang Wang, Qiang Liu, Liang Wang |
| 2025 | EMNLP | SHARP: Steering Hallucination in LVLMs via Representation Engineering. | Junfei Wu, Yue Ding, Guofan Liu, Tianze Xia, Ziyue Huang, Dianbo Sui, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan |
| 2025 | EMNLP | GenPilot: A Multi-Agent System for Test-Time Prompt Optimization in Image Generation. | Wen Ye, Zhaocheng Liu, Yuwei Gui, Tingyu Yuan, Yunyue Su, Bowen Fang, Chaoyang Zhao, Qiang Liu, Liang Wang |
| 2025 | EMNLP | KELE: Residual Knowledge Erasure for Enhanced Multi-hop Reasoning in Knowledge Editing. | Mengqi Zhang, Bowen Fang, Qiang Liu, Xiaotian Ye, Shu Wu, Pengjie Ren, Zhumin Chen, Liang Wang |
| 2025 | EMNLP | REACT: Representation Extraction And Controllable Tuning to Overcome Overfitting in LLM Knowledge Editing. | Haitian Zhong, Yuhuan Liu, Ziyang Xu, Guofan Liu, Qiang Liu, Shu Wu, Zhe Zhao, Liang Wang, Tieniu Tan |
| 2025 | HPCA | NVMePass: A Lightweight, High-performance and Scalable NVMe Virtualization Architecture with I/O Queues Passthrough. | Yiquan Chen, Zhen Jin, Yijing Wang, Yi Chen, Jiexiong Xu, Hao Yu, Jinlong Chen, Wenhai Lin, Kanghua Fang, Keyao Zhang, Chengkun Wei, Qiang Liu, Yuan Xie, Wenzhi Chen |
| 2025 | ICASSP | Harnessing Content and Structure in ID for Multimodal Recommendation. | Yuting Liu, Enneng Yang, Yizhou Dang, Guibing Guo, Qiang Liu, Yuliang Liang, Linying Jiang, Xingwei Wang |
| 2025 | ICASSP | Boolean matrix compressed sensing. | Qiang Liu, Mahdi Soleymani, Hessam Mahdavifar |
| 2025 | ICCV | Improving Rectified Flow with Boundary Conditions. | Xixi Hu, Runlong Liao, Keyang Xu, Bo Liu, Yeqing Li, Eugene Ie, Hongliang Fei, Qiang Liu |
| 2025 | ICCV | LIRA: Inferring Segmentation in Large Multi-Modal Models with Local Interleaved Region Assistance. | Zhang Li, Biao Yang, Qiang Liu, Shuo Zhang, Zhiyin Ma, Liang Yin, Linger Deng, Yabo Sun, Yuliang Liu, Xiang Bai |
| 2025 | ICLR | Longhorn: State Space Models are Amortized Online Learners. | Bo Liu, Rui Wang, Lemeng Wu, Yihao Feng, Peter Stone, Qiang Liu |
| 2025 | ICLR | MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra. | Liang Wang, Shaozhen Liu, Yu Rong, Deli Zhao, Qiang Liu, Shu Wu, Liang Wang |
| 2025 | ICLR | ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks. | Qiang Liu, Mengyu Chu, Nils Thuerey |
| 2025 | ICLR | PN-GAIL: Leveraging Non-optimal Information from Imperfect Demonstrations. | Qiang Liu, Huiqiao Fu, Kaiqiang Tang, Chunlin Chen, Daoyi Dong |
| 2025 | ICLR | Uncovering Overfitting in Large Language Model Editing. | Mengqi Zhang, Xiaotian Ye, Qiang Liu, Shu Wu, Pengjie Ren, Zhumin Chen |
| 2025 | ICLR | Integrating Protein Dynamics into Structure-Based Drug Design via Full-Atom Stochastic Flows. | Xiangxin Zhou, Yi Xiao, Haowei Lin, Xinheng He, Jiaqi Guan, Yang Wang, Qiang Liu, Feng Zhou, Liang Wang, Jianzhu Ma |
| 2025 | ICML | SKIM: Any-bit Quantization Pushing The Limits of Post-Training Quantization. | Runsheng Bai, Bo Liu, Qiang Liu |
| 2025 | ICML | PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations. | Benjamin J. Holzschuh, Qiang Liu, Georg Kohl, Nils Thuerey |
| 2025 | ICML | PIPA: Preference Alignment as Prior-Informed Statistical Estimation. | Junbo Li, Zhangyang Wang, Qiang Liu |
| 2025 | IJCNN | R | Zhao Tong, Yimeng Gu, Haichao Shi, Qiang Liu, Shu Wu, Xiao-Yu Zhang |
| 2025 | INFOCOM | AdaSlicing: Adaptive Online Network Slicing Under Continual Network Dynamics in Open Radio Access Networks. | Ming Zhao, Yuru Zhang, Qiang Liu, Ahan Kak, Nakjung Choi |
| 2025 | INFOCOM | InSlicing: Interpretable Learning-Assisted Network Slice Configuration in Open Radio Access Networks. | Ming Zhao, Yuru Zhang, Qiang Liu, Ahan Kak, Nakjung Choi |
| 2025 | IROS | Region-Aware 6D Grasping for Industrial Bin-Picking: A Sim2Real Label Self-Generation and Hybrid Evaluation Framework. | Xungao Zhong, Tao Gong, Xunyu Zhong, Qiang Liu, Huosheng Hu |
| 2025 | ISCA | Dadu-Corki: Algorithm-Architecture Co-Design for Embodied AI-powered Robotic Manipulation. | Yiyang Huang, Yuhui Hao, Bo Yu, Feng Yan, Yuxin Yang, Feng Min, Yinhe Han, Lin Ma, Shaoshan Liu, Qiang Liu, Yiming Gan |
| 2025 | ISCAS | SDTA: An Efficient Sparse DNN Training Accelerator with Data Hierarchical Pre-fetching and Dynamic Scheduling. | Mengting Wang, Yuntao Han, Yingchang Mao, Peng Shao, Zhengyan Liu, Qiang Liu |
| 2025 | KDD | Fairness without Demographics through Learning Graph of Gradients. | Yingtao Luo, Zhixun Li, Qiang Liu, Jun Zhu |
| 2025 | MMM | Making Strides Security in Multimodal Fake News Detection Models: A Comprehensive Analysis of Adversarial Attacks. | Jiahua Si, Youze Wang, Wenbo Hu, Qiang Liu, Richang Hong |
| 2025 | NDSS | Truman: Constructing Device Behavior Models from OS Drivers to Fuzz Virtual Devices. | Zheyu Ma, Qiang Liu, Zheming Li, Tingting Yin, Wende Tan, Chao Zhang, Mathias Payer |
| 2025 | QRS | YOLOE-Based Semantic Segmentation Framework with VAM and DVCL for Enhanced Monitoring Accuracy in Highway Collapse Detection. | Qiang Liu, Xiaonuo Han, Xinpan Yuan, Liujie Hua, Xianchao Zhou |
| 2025 | QRS | TimeSAST: Cloud Workload Sequence Prediction Method Based on CLEC-SSA. | Qiang Liu, Xin Lin, Xinpan Yuan, Ying Jiang, Xianchao Zhou |
| 2025 | QRS | DualPrompt-CLIP: Enhancing Zero-Shot Anomaly Detection by Learnable Prefix-Suffix Textual Context. | Qiang Liu, Wenchuan Wang, Xinpan Yuan, Liujie Hua, Xianchao Zhou |
| 2025 | QRS | A Multimodal Knowledge Graph Completion Method Based on Knowledge Supervision and Modality Consistency Evaluation. | Yanhui Zhu, Hao Chen, Qiang Liu, Zhixuan Zhang, Xujian Ying |
| 2025 | WWW | Balancing Efficiency and Effectiveness: An LLM-Infused Approach for Optimized CTR Prediction. | Guoxiao Zhang, Yi Wei, Yadong Zhang, Huajian Feng, Qiang Liu |
| 2025 | TrustCom | VCR: Fast Private Set Intersection with Improved VOLE and CRT-Batching. | Weizhan Jing, Xiaojun Chen, Xudong Chen, Ye Dong, Yaxi Yang, Qiang Liu |
| 2025 | SIGCOMM | Alibaba Stellar: A New Generation RDMA Network for Cloud AI. | Jie Lu, Jiaqi Gao, Fei Feng, Zhiqiang He, Menglei Zheng, Kun Liu, Jun He, Binbin Liao, Suwei Xu, Ke Sun, Yongjia Mo, Qinghua Peng, Jilie Luo, Qingxu Li, Gang Lu, Zishu Wang, Jianbo Dong, Kunling He, Sheng Cheng, Jiamin Cao, Hairong Jiao, Pengcheng Zhang, Shu Ma, Lingjun Zhu, Chao Shi, Yangming Zhang, Yiquan Chen, Wei Wang, Shuhong Zhu, Xingru Li, Qiang Wang, Jiang Liu, Chao Wang, Wei Lin, Ennan Zhai, Jiesheng Wu, Qiang Liu, Binzhang Fu, Dennis Cai |
| 2025 | UIST | From Gentle Touch to Sharp Scratch: A Shape-Changing Haptic Interface Driven by Shape-Memory Alloy for Affective Touch. | Baihui Chen, Ruyang Yu, Yujie Li, Rui Qi, Qiang Liu, Xueliang Li |
| 2024 | AAAI | Rethinking Graph Masked Autoencoders through Alignment and Uniformity. | Liang Wang, Xiang Tao, Qiang Liu, Shu Wu, Liang Wang |
| 2024 | AAAI | Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables. | Haisong Gong, Weizhi Xu, Shu Wu, Qiang Liu, Liang Wang |
| 2024 | AAAI | Layer Compression of Deep Networks with Straight Flows. | Chengyue Gong, Xiaocong Du, Bhargav Bhushanam, Lemeng Wu, Xingchao Liu, Dhruv Choudhary, Arun Kejariwal, Qiang Liu |
| 2024 | AAAI | Text-Guided Molecule Generation with Diffusion Language Model. | Haisong Gong, Qiang Liu, Shu Wu, Liang Wang |
| 2024 | ACL | EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification. | Huanhuan Ma, Weizhi Xu, Yifan Wei, Liuji Chen, Liang Wang, Qiang Liu, Shu Wu |
| 2024 | ACL | Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models. | Junfei Wu, Qiang Liu, Ding Wang, Jinghao Zhang, Shu Wu, Liang Wang, Tieniu Tan |
| 2024 | ACL | Chain-of-History Reasoning for Temporal Knowledge Graph Forecasting. | Yuwei Xia, Ding Wang, Qiang Liu, Liang Wang, Shu Wu, Xiaoyu Zhang |
| 2024 | ACL | Stealthy Attack on Large Language Model based Recommendation. | Jinghao Zhang, Yuting Liu, Qiang Liu, Shu Wu, Guibing Guo, Liang Wang |
| 2024 | ASPLOS | ORIANNA: An Accelerator Generation Framework for Optimization-based Robotic Applications. | Yuhui Hao, Yiming Gan, Bo Yu, Qiang Liu, Yinhe Han, Zishen Wan, Shaoshan Liu |
| 2024 | CIKM | CMG: A Causality-enhanced Multi-view Graph Model for Stock Trend Prediction. | Xi Cheng, Liang Wang, Yunan Zeng, Qiang Liu |
| 2024 | CIKM | VIER: Visual Imagination Enhanced Retrieval in Sponsored Search. | Yadong Zhang, Yuqing Song, Siyu Lu, Qiang Liu, Xingxing Wang |
| 2024 | CIKM | Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media. | Jiajun Zhang, Zhixun Li, Qiang Liu, Shu Wu, Zilei Wang, Liang Wang |
| 2024 | CVPR | Monkey: Image Resolution and Text Label are Important Things for Large Multi-Modal Models. | Zhang Li, Biao Yang, Qiang Liu, Zhiyin Ma, Shuo Zhang, Jingxu Yang, Yabo Sun, Yuliang Liu, Xiang Bai |
| 2024 | CVPR | Taming Mode Collapse in Score Distillation for Text-to-3D Generation. | Peihao Wang, Dejia Xu, Zhiwen Fan, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra |
| 2024 | ECCV | Solving Motion Planning Tasks with a Scalable Generative Model. | Yihan Hu, Siqi Chai, Zhening Yang, Jingyu Qian, Kun Li, Wenxin Shao, Haichao Zhang, Wei Xu, Qiang Liu |
| 2024 | ECCV | SlimFlow: Training Smaller One-Step Diffusion Models with Rectified Flow. | Yuanzhi Zhu, Xingchao Liu, Qiang Liu |
| 2024 | EMNLP | Knowledge Graph Enhanced Large Language Model Editing. | Mengqi Zhang, Xiaotian Ye, Qiang Liu, Pengjie Ren, Shu Wu, Zhumin Chen |
| 2024 | GLOBECOM | CAVE: Crowdsourcing Passing-By Vehicles for Reliable In-Vehicle Edge Computing. | Jiahe Cao, Qiang Liu, Dawei Chen, Kyungtae Han |
| 2024 | GLOBECOM | LeFi: Learn to Incentivize Federated Learning in Automotive Edge Computing. | Ming Zhao, Yuru Zhang, Qiang Liu, Tao Han |
| 2024 | HPCA | LightPool: A NVMe-oF-based High-performance and Lightweight Storage Pool Architecture for Cloud-Native Distributed Database. | Jiexiong Xu, Yiquan Chen, Yijing Wang, Wenhui Shi, Guoju Fang, Yi Chen, Huasheng Liao, Yang Wang, Hai Lin, Zhen Jin, Qiang Liu, Wenzhi Chen |
| 2024 | ICASSP | Interpretable Multimodal Out-of-Context Detection with Soft Logic Regularization. | Huanhuan Ma, Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang |
| 2024 | ICLR | Lion Secretly Solves a Constrained Optimization: As Lyapunov Predicts. | Lizhang Chen, Bo Liu, Kaizhao Liang, Qiang Liu |
| 2024 | ICLR | InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation. | Xingchao Liu, Xiwen Zhang, Jianzhu Ma, Jian Peng, Qiang Liu |
| 2024 | ICML | Evolution-Inspired Loss Functions for Protein Representation Learning. | Chengyue Gong, Adam R. Klivans, James Loy, Tianlong Chen, Qiang Liu, Daniel Jesus Diaz |
| 2024 | ICML | A Computational Framework for Solving Wasserstein Lagrangian Flows. | Kirill Neklyudov, Rob Brekelmans, Alexander Tong, Lazar Atanackovic, Qiang Liu, Alireza Makhzani |
| 2024 | ICML | FAFE: Immune Complex Modeling with Geodesic Distance Loss on Noisy Group Frames. | Ruidong Wu, Ruihan Guo, Rui Wang, Shitong Luo, Yue Xu, Jiahan Li, Jianzhu Ma, Qiang Liu, Yunan Luo, Jian Peng |
| 2024 | ICMLC | Enhancing Drug-Drug Interaction Prediction by Knowledge Graph Embedding. | Chao Liu, Xizhao Wang, Qiang Liu |
| 2024 | INFOCOM | Learn to Augment Network Simulators Towards Digital Network Twins. | Yuru Zhang, Ming Zhao, Qiang Liu, Nakjung Choi |
| 2024 | ISCAS | PBN: Progressive Batch Normalization for DNN Training on Edge Device. | Yingchang Mao, Mingyu Shu, Qiang Liu |
| 2024 | ISCAS | A Data-Distribution Aware Approximate Multiplier Design Based on FPGA. | Mingyu Shu, Yingchang Mao, Qiang Liu |
| 2024 | IGARSS | Fusing Landsat, MODIS, and AVHRR to Produce 30-M Daily Seamless Data Cube of Surface Reflectance: Current Progress and Lessons Learned. | Shuang Chen, Xiangan Liang, Jie Wang, Qiang Liu, Peng Gong |
| 2024 | ISCAS | A Fault Attack Resistant Method for RISC-V Based on Interrupt Handlers and Instruction Extensions. | Jiashuo Wei, Qiang Liu |
| 2024 | ISCAS | ESFLOW: Mapping Large-Scale Earthquake Simulation to Spatial Computing Systems. | Ming Yuan, Qiang Liu, Lin Gan, Guangwen Yang |
| 2024 | KDD | Rethinking Fair Graph Neural Networks from Re-balancing. | Zhixun Li, Yushun Dong, Qiang Liu, Jeffrey Xu Yu |
| 2024 | KDD | DIVE: Subgraph Disagreement for Graph Out-of-Distribution Generalization. | Xin Sun, Liang Wang, Qiang Liu, Shu Wu, Zilei Wang, Liang Wang |
| 2024 | KDD | Joint Auction in the Online Advertising Market. | Zhen Zhang, Weian Li, Yahui Lei, Bingzhe Wang, Zhicheng Zhang, Qi Qi, Qiang Liu, Xingxing Wang |
| 2024 | PDCAT | Multi-agent Collaboration for Time-Sensitive Tasks in Multiple Networked Adversarial Scenarios. | Jian Wu, Yuanshuang Jiang, Pan Li, Xiangxiang Xing, Kai Di, Xin Wang, Qiang Liu, Liangping Cheng, Yichuan Jiang, Dan Chen |
| 2024 | QRS | Syntax-Dependency Orientation Guided Vision-and-Language Transformer for Image-Text Matching. | Xinpan Yuan, Jiabao Li, Zhiqi Zhang, Zhigao Zeng, Qiang Liu |
| 2024 | RAID | Tango: Extracting Higher-Order Feedback through State Inference. | Ahmad Hazimeh, Duo Xu, Qiang Liu, Yan Wang, Mathias Payer |
| 2024 | WWW | PRINT: Personalized Relevance Incentive Network for CTR Prediction in Sponsored Search. | Zhaolin Hong, Haitao Wang, Chengjie Qian, Wei Chen, Tianqi He, Yajie Zou, Qiang Liu, Xingxing Wang |
| 2024 | WWW | Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection. | Xiang Tao, Liang Wang, Qiang Liu, Shu Wu, Liang Wang |
| 2024 | WWW | DiffuRetrieval: A Chain-of-Thought Enhanced Diffusion Retrieval in Sponsored Search. | Yadong Zhang, Siyu Lu, Qiang Liu, Xingxing Wang |
| 2024 | SIGIR | Disentangled Contrastive Hypergraph Learning for Next POI Recommendation. | Yantong Lai, Yijun Su, Lingwei Wei, Tianqi He, Haitao Wang, Gaode Chen, Daren Zha, Qiang Liu, Xingxing Wang |
| 2024 | SDM | CAMLO: Cross-Attentive Multi-View Network for Long-Term Origin-Destination Flow Prediction. | Liang Wang, Hao Fu, Shu Wu, Qiang Liu, Xuelei Tan, Fangsheng Huang, Mengdi Zhang, Wei Wu |
| 2024 | TEI | Mimosa: Modular Self-folding Hinges Kit for Creating Shape-changing Objects. | Qiang Liu, Sepideh Ghodrat, Kaspar M. B. Jansen |
| 2024 | SecureComm | An Effective Multiple Private Set Intersection. | Qiang Liu, Xiaojun Chen, Weizhan Jing, Ye Dong |
| 2024 | TAMC | Joint Bidding in Ad Auctions. | Yuchao Ma, Weian Li, Wanzhi Zhang, Yahui Lei, Zhicheng Zhang, Qi Qi, Qiang Liu, Xingxing Wang |
| 2023 | AAAI | Metric Residual Network for Sample Efficient Goal-Conditioned Reinforcement Learning. | Bo Liu, Yihao Feng, Qiang Liu, Peter Stone |
| 2023 | ACL | Counterfactual Debiasing for Fact Verification. | Weizhi Xu, Qiang Liu, Shu Wu, Liang Wang |
| 2023 | ACL | Learning Latent Relations for Temporal Knowledge Graph Reasoning. | Mengqi Zhang, Yuwei Xia, Qiang Liu, Shu Wu, Liang Wang |
| 2023 | CEC | A Novel Computational Nanobiosensing Approach to Improve the Exploitation of In Vivo Computation. | Shaolong Shi, Yifan Chen, Zhaoyang Jiang, Qiang Liu, Jurong Ding, Qingfu Zhang |
| 2023 | CIKM | Personalized Interest Sustainability Modeling for Sequential POI Recommendation. | Zewen Long, Liang Wang, Qiang Liu, Shu Wu |
| 2023 | CIKM | LEAD-ID: Language-Enhanced Denoising and Intent Distinguishing Graph Neural Network for Sponsored Search Broad Retrievals. | Xiao Zhou, Ran Wang, Haorui Li, Qiang Liu, Xingxing Wang, Dong Wang |
| 2023 | CVPR | Planning-oriented Autonomous Driving. | Yihan Hu, Jiazhi Yang, Li Chen, Keyu Li, Chonghao Sima, Xizhou Zhu, Siqi Chai, Senyao Du, Tianwei Lin, Wenhai Wang, Lewei Lu, Xiaosong Jia, Qiang Liu, Jifeng Dai, Yu Qiao, Hongyang Li |
| 2023 | CVPR | Assigned MURA Defect Generation Based on Diffusion Model. | Weizhi Liu, Chang Liu, Qiang Liu, Dahai Yu |
| 2023 | CVPR | FlowGrad: Controlling the Output of Generative ODEs with Gradients. | Xingchao Liu, Lemeng Wu, Shujian Zhang, Chengyue Gong, Wei Ping, Qiang Liu |
| 2023 | CVPR | Image as a Foreign Language: BEIT Pretraining for Vision and Vision-Language Tasks. | Wenhui Wang, Hangbo Bao, Li Dong, Johan Bjorck, Zhiliang Peng, Qiang Liu, Kriti Aggarwal, Owais Khan Mohammed, Saksham Singhal, Subhojit Som, Furu Wei |
| 2023 | CVPR | Fast Point Cloud Generation with Straight Flows. | Lemeng Wu, Dilin Wang, Chengyue Gong, Xingchao Liu, Yunyang Xiong, Rakesh Ranjan, Raghuraman Krishnamoorthi, Vikas Chandra, Qiang Liu |
| 2023 | CVPR | Sparsely Annotated Semantic Segmentation with Adaptive Gaussian Mixtures. | Linshan Wu, Zhun Zhong, Leyuan Fang, Xingxin He, Qiang Liu, Jiayi Ma, Hao Chen |
| 2023 | DAC | BLITZCRANK: Factor Graph Accelerator for Motion Planning. | Yuhui Hao, Yiming Gan, Bo Yu, Qiang Liu, Shaoshan Liu, Yuhao Zhu |
| 2023 | DATE | Fault Model Analysis of DRAM under Electromagnetic Fault Injection Attack. | Qiang Liu, Longtao Guo, Honghui Tang |
| 2023 | EMNLP | DUBLIN: Visual Document Understanding By Language-Image Network. | Kriti Aggarwal, Aditi Khandelwal, Kumar Tanmay, Owais Khan Mohammed, Qiang Liu, Monojit Choudhury, Hardik Hansrajbhai Chauhan, Subhojit Som, Vishrav Chaudhary, Saurabh Tiwary |
| 2023 | EMNLP | Noise-Robust Semi-Supervised Learning for Distantly Supervised Relation Extraction. | Xin Sun, Qiang Liu, Shu Wu, Zilei Wang, Liang Wang |
| 2023 | FPL | HPTA: A High Performance Transformer Accelerator Based on FPGA. | Yuntao Han, Qiang Liu |
| 2023 | GLOBECOM | Fast and Scalable Network Slicing by Integrating Deep Learning with Lagrangian Methods. | Tianlun Hu, Qi Liao, Qiang Liu, Antonio Massaro, Georg Carle |
| 2023 | HCI | Design Optimization of Adjustable Filter Rod Based on User Experience. | Ning Hou, Yanggang Ou, Qiang Liu, Jing Che, Lei Wu, Huai Cao |
| 2023 | ICCV | Efficient Transformer-based 3D Object Detection with Dynamic Token Halting. | Mao Ye, Gregory P. Meyer, Yuning Chai, Qiang Liu |
| 2023 | ICLR | HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing. | Tianlong Chen, Chengyue Gong, Daniel Jesus Diaz, Xuxi Chen, Jordan Tyler Wells, Qiang Liu, Zhangyang Wang, Andrew D. Ellington, Alex Dimakis, Adam R. Klivans |
| 2023 | ICLR | Sampling with Mollified Interaction Energy Descent. | Lingxiao Li, Qiang Liu, Anna Korba, Mikhail Yurochkin, Justin Solomon |
| 2023 | ICLR | Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow. | Xingchao Liu, Chengyue Gong, Qiang Liu |
| 2023 | ICLR | Learning Diffusion Bridges on Constrained Domains. | Xingchao Liu, Lemeng Wu, Mao Ye, Qiang Liu |
| 2023 | ICML | DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design. | Jiaqi Guan, Xiangxin Zhou, Yuwei Yang, Yu Bao, Jian Peng, Jianzhu Ma, Qiang Liu, Liang Wang, Quanquan Gu |
| 2023 | ICML | MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation. | Xingang Peng, Jiaqi Guan, Qiang Liu, Jianzhu Ma |
| 2023 | ICMLC | Local Weighted Neighborhood Rough Sets for Weakly Labeled Data. | Yanting Guo, Meng Hu, Qiang Liu, Eric C. C. Tsang, Xizhao Wang |
| 2023 | IGARSS | Lai Time Series Reconstruction from Sentinel-2 Imagery Using Vegetation Growing Phenology Feature. | Naijie Peng, Siqi Yang, Yunzhu Tao, Dechao Zhai, Wenjie Fan, Qiang Liu |
| 2023 | IGARSS | Wildfire Detection Based On Himawari-8 Multi-Temporal Data. | Shuang Yu, Weifeng Huang, Haoyu Zhang, Guoqing Zhou, Yi Ma, Zezhong Zheng, Ling Jiang, Fangrong Zhou, Qiang Liu, Xuefeng Yang, Tao Weng |
| 2023 | IGARSS | Comparison of Land Surface Temperature Retrieved by Split-Window Algorithm Using Thermal Infrared Observations from Multiple Satellites in the China Region. | Shouyi Zhong, Zunjian Bian, Hua Li, Jianguang Wen, Qiang Liu, Qing Xiao |
| 2023 | INDIN | Deep Autoencoder With Orthogonal Features for Process Monitoring. | Chao Yang, Congcong Zhang, Junxiang Wang, Qiang Liu |
| 2023 | INFOCOM | Poster: Digital Network Twin via Learning-Based Simulator. | Yuru Zhang, Yongjie Xue, Qiang Liu, Nakjung Choi |
| 2023 | IROS | Real-Time Elevation Mapping with Bayesian Ground Filling and Traversability Analysis for UGV Navigation. | Han Xie, Xunyu Zhong, Bushi Chen, Pengfei Peng, Huosheng Hu, Qiang Liu |
| 2023 | ISCAS | A Portable DSP Coprocessor Design Using RISC-V Packed-SIMD Instructions. | Kai Li, Wei Yin, Qiang Liu |
| 2023 | ICWS | Evolutionary Interest Representation Network for Click-Through Rate Prediction. | Renjie Zhou, Zhenming Jin, Jian Wan, Jilin Zhang, Xingyu Guo, Qiang Liu |
| 2023 | ISCAS | An Adaptive Quantization Method for CNN Activations. | Yun Wang, Qiang Liu |
| 2023 | ISIT | Matrix Completion over Finite Fields: Bounds and Belief Propagation Algorithms. | Mahdi Soleymani, Qiang Liu, Hessam Mahdavifar, Laura Balzano |
| 2023 | KDD | Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations. | Yingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu, Tian Tian, Jun Zhu |
| 2023 | WWW | Communicative MARL-based Relevance Discerning Network for Repetition-Aware Recommendation. | Kaiyuan Li, Pengfei Wang, Haitao Wang, Qiang Liu, Xingxing Wang, Dong Wang, Shangguang Wang |
| 2023 | WWW | Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning. | Mengqi Zhang, Yuwei Xia, Qiang Liu, Shu Wu, Liang Wang |
| 2023 | SIGIR | DMBIN: A Dual Multi-behavior Interest Network for Click-Through Rate Prediction via Contrastive Learning. | Tianqi He, Kaiyuan Li, Shan Chen, Haitao Wang, Qiang Liu, Xingxing Wang, Dong Wang |
| 2023 | SIGIR | Friend Ranking in Online Games via Pre-training Edge Transformers. | Liang Yao, Jiazhen Peng, Shenggong Ji, Qiang Liu, Hongyun Cai, Feng He, Xu Cheng |
| 2023 | SIGIR | Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation. | Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang |
| 2023 | SP | ViDeZZo: Dependency-aware Virtual Device Fuzzing. | Qiang Liu, Flavio Toffalini, Yajin Zhou, Mathias Payer |
| 2022 | AAAI | AFDetV2: Rethinking the Necessity of the Second Stage for Object Detection from Point Clouds. | Yihan Hu, Zhuangzhuang Ding, Runzhou Ge, Wenxin Shao, Li Huang, Kun Li, Qiang Liu |
| 2022 | ACCV | Network Pruning via Feature Shift Minimization. | Yuanzhi Duan, Yue Zhou, Peng He, Qiang Liu, Shukai Duan, Xiaofang Hu |
| 2022 | ACML | Bootstrapping a high quality multilingual multimodal dataset for Bletchley. | Owais Khan Mohammed, Kriti Aggarwal, Qiang Liu, Saksham Singhal, Johan Bjorck, Subhojit Som |
| 2022 | APWEB | A Non-contact Interaction Method for 3D Display Devices. | Mengkui Wang, Wentong Wang, Feng Xu, Qiang Liu |
| 2022 | CCS | Characterizing and Detecting Non-Consensual Photo Sharing on Social Networks. | Tengfei Zheng, Tongqing Zhou, Qiang Liu, Kui Wu, Zhiping Cai |
| 2022 | CEC | Dynamic In Vivo Computation: Nanobiosensing from a Dynamic Optimization Perspective. | Shaolong Shi, Yifan Chen, Qiang Liu, Jurong Ding, Qingfu Zhang |
| 2022 | CIKM | Deep Contrastive Multiview Network Embedding. | Mengqi Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang |
| 2022 | CoNEXT | Atlas: automate online service configuration in network slicing. | Qiang Liu, Nakjung Choi, Tao Han |
| 2022 | CSCWD | FQCSpark: Efficient Spark-based Parallel Compression Algorithm for FASTQ Genome Sequences. | Yimu Ji, Hu Fa, Haichang Yao, Si-si Shao, Mengxue Wu, Houzhi Fang, Qiang Liu, Shangdong Liu |
| 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 | MIPI 2022 Challenge on RGB+ToF Depth Completion: Dataset and Report. | Wenxiu Sun, Qingpeng Zhu, Chongyi Li, Ruicheng Feng, Shangchen Zhou, Jun Jiang, Qingyu Yang, Chen Change Loy, Jinwei Gu, Dewang Hou, Kai Zhao, Liying Lu, Yu Li, Huaijia Lin, Ruizheng Wu, Jiangbo Lu, Jiaya Jia, Qiang Liu, Haosong Yue, Danyang Cao, Lehang Yu, Jiaxuan Quan, Jixiang Liang, Yufei Wang, Yuchao Dai, Peng Yang, Hu Yan, Houbiao Liu, Siyuan Su, Xuanhe Li, Rui Ren, Yunlong Liu, Yufan Zhu, Dong Lao, Alex Wong, Katie Chang |
| 2022 | ECCV | Depth Completion Using Laplacian Pyramid-Based Depth Residuals. | Haosong Yue, Qiang Liu, Zhong Liu, Jing Zhang, Xingming Wu |
| 2022 | EMNLP | MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning. | Yuwei Xia, Mengqi Zhang, Qiang Liu, Shu Wu, Xiaoyu Zhang |
| 2022 | EMNLP | Attention and Edge-Label Guided Graph Convolutional Networks for Named Entity Recognition. | Renjie Zhou, Zhongyi Xie, Jian Wan, Jilin Zhang, Yong Liao, Qiang Liu |
| 2022 | FCCM | DQI: A Dynamic Quantization Method for Efficient Convolutional Neural Network Inference Accelerators. | Yun Wang, Qiang Liu, Shun Yan |
| 2022 | GLOBECOM | Network Slicing via Transfer Learning aided Distributed Deep Reinforcement Learning. | Tianlun Hu, Qi Liao, Qiang Liu, Georg Carle |
| 2022 | ICCAD | Factor Graph Accelerator for LiDAR-Inertial Odometry (Invited Paper). | Yuhui Hao, Bo Yu, Qiang Liu, Shaoshan Liu, Yuhao Zhu |
| 2022 | ICDM | The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection. | Zhixun Li, Dingshuo Chen, Qiang Liu, Shu Wu |
| 2022 | ICDM | Deep Stable Representation Learning on Electronic Health Records. | Yingtao Luo, Zhaocheng Liu, Qiang Liu |
| 2022 | ICLR | NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training. | Chengyue Gong, Dilin Wang, Meng Li, Xinlei Chen, Zhicheng Yan, Yuandong Tian, Qiang Liu, Vikas Chandra |
| 2022 | ICLR | Energy-Inspired Molecular Conformation Optimization. | Jiaqi Guan, Wesley Wei Qian, Qiang Liu, Wei-Ying Ma, Jianzhu Ma, Jian Peng |
| 2022 | ICML | How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity. | Chengyue Gong, Lemeng Wu, Qiang Liu |
| 2022 | ICML | Centroid Approximation for Bootstrap: Improving Particle Quality at Inference. | Mao Ye, Qiang Liu |
| 2022 | ICML | A Langevin-like Sampler for Discrete Distributions. | Ruqi Zhang, Xingchao Liu, Qiang Liu |
| 2022 | IJCAI | GraphDIVE: Graph Classification by Mixture of Diverse Experts. | Fenyu Hu, Liping Wang, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan |
| 2022 | ICRA | SEHLNet: Separate Estimation of High- and Low-Frequency components for Depth Completion. | Qiang Liu, Haosong Yue, Zhanggang Lyu, Wei Wang, Zhong Liu, Weihai Chen |
| 2022 | ISCA | Fidas: fortifying the cloud via comprehensive FPGA-based offloading for intrusion detection: industrial product. | Jian Chen, Xiaoyu Zhang, Tao Wang, Ying Zhang, Tao Chen, Jiajun Chen, Mingxu Xie, Qiang Liu |
| 2022 | IGARSS | Evaluation of Urban Functional System. | Weishi Jin, Zezhong Zheng, Pengshan Li, Ankai Hou, Zhongnian Li, Qiang Liu |
| 2022 | NAACL | Harmless Transfer Learning for Item Embeddings. | Chengyue Gong, Xiaocong Du, Dhruv Choudhary, Bhargav Bhushanam, Qiang Liu, Arun Kejariwal |
| 2022 | WWW | Evidence-aware Fake News Detection with Graph Neural Networks. | Weizhi Xu, Junfei Wu, Qiang Liu, Shu Wu, Liang Wang |
| 2022 | SIGIR | Bias Mitigation for Evidence-aware Fake News Detection by Causal Intervention. | Junfei Wu, Qiang Liu, Weizhi Xu, Shu Wu |
| 2022 | UAI | Pareto navigation gradient descent: a first-order algorithm for optimization in pareto set. | Mao Ye, Qiang Liu |
| 2022 | UAI | Future gradient descent for adapting the temporal shifting data distribution in online recommendation systems. | Mao Ye, Ruichen Jiang, Haoxiang Wang, Dhruv Choudhary, Xiaocong Du, Bhargav Bhushanam, Aryan Mokhtari, Arun Kejariwal, Qiang Liu |
| 2022 | SDM | Structure-Enhanced Heterogeneous Graph Contrastive Learning. | Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu |
| 2022 | SecureComm | A Random Reversible Watermarking Scheme for Relational Data. | Qiang Liu, Hequ Xian, Jiancheng Zhang, Kunpeng Liu |
| 2021 | AAAI | Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision. | Xingchao Liu, Mao Ye, Dengyong Zhou, Qiang Liu |
| 2021 | APWEB | Simplifying Graph Convolutional Networks as Matrix Factorization. | Qiang Liu, Haoli Zhang, Zhaocheng Liu |
| 2021 | CCS | ECMO: Peripheral Transplantation to Rehost Embedded Linux Kernels. | Muhui Jiang, Lin Ma, Yajin Zhou, Qiang Liu, Cen Zhang, Zhi Wang, Xiapu Luo, Lei Wu, Kui Ren |
| 2021 | CIKM | Deep Active Learning for Text Classification with Diverse Interpretations. | Qiang Liu, Yanqiao Zhu, Zhaocheng Liu, Yufeng Zhang, Shu Wu |
| 2021 | CIKM | Mining Cross Features for Financial Credit Risk Assessment. | Qiang Liu, Zhaocheng Liu, Haoli Zhang, Yuntian Chen, Jun Zhu |
| 2021 | CIKM | Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction. | Yichen Xu, Yanqiao Zhu, Feng Yu, Qiang Liu, Shu Wu |
| 2021 | CIKM | Relation-aware Heterogeneous Graph for User Profiling. | Qilong Yan, Yufeng Zhang, Qiang Liu, Shu Wu, Liang Wang |
| 2021 | CoNEXT | OnSlicing: online end-to-end network slicing with reinforcement learning. | Qiang Liu, Nakjung Choi, Tao Han |
| 2021 | CVPR | MaxUp: Lightweight Adversarial Training With Data Augmentation Improves Neural Network Training. | Chengyue Gong, Tongzheng Ren, Mao Ye, Qiang Liu |
| 2021 | CVPR | AlphaMatch: Improving Consistency for Semi-Supervised Learning With Alpha-Divergence. | Chengyue Gong, Dilin Wang, Qiang Liu |
| 2021 | CVPR | KeepAugment: A Simple Information-Preserving Data Augmentation Approach. | Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu |
| 2021 | FPL | An FPGA-based MobileNet Accelerator Considering Network Structure Characteristics. | Shun Yan, Zhengyan Liu, Yun Wang, Chenglong Zeng, Qiang Liu, Bowen Cheng, Ray C. C. Cheung |
| 2021 | GLOBECOM | MmWave MIMO Hybrid Precoding Design Using Phase Shifters and Switches. | Qiang Liu, Chenhao Qi, Xianghao Yu, Geoffrey Ye Li |
| 2021 | HCI | ZhiTu: A Smartphone Photo Managing Application for the Elderly. | Mei Yang, Qin Gao, Qiang Liu |
| 2021 | HPCA | CARE: Coordinated Augmentation for Elastic Resilience on DRAM Errors in Data Centers. | Jian Chen, Xiaowei Jiang, Ying Zhang, Liyin Liu, Huifeng Xu, Qiang Liu |
| 2021 | HPCA | Eudoxus: Characterizing and Accelerating Localization in Autonomous Machines Industry Track Paper. | Yiming Gan, Bo Yu, Boyuan Tian, Leimeng Xu, Wei Hu, Shaoshan Liu, Qiang Liu, Yanjun Zhang, Jie Tang, Yuhao Zhu |
| 2021 | HPCA | LIBRA: Clearing the Cloud Through Dynamic Memory Bandwidth Management. | Ying Zhang, Jian Chen, Xiaowei Jiang, Qiang Liu, Ian M. Steiner, Andrew J. Herdrich, Kevin Shu, Ripan Das, Long Cui, Litrin Jiang |
| 2021 | ICLR | Non-asymptotic Confidence Intervals of Off-policy Evaluation: Primal and Dual Bounds. | Yihao Feng, Ziyang Tang, Na Zhang, Qiang Liu |
| 2021 | ICLR | VCNet and Functional Targeted Regularization For Learning Causal Effects of Continuous Treatments. | Lizhen Nie, Mao Ye, Qiang Liu, Dan Nicolae |
| 2021 | ICML | Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition. | Bo Liu, Qiang Liu, Peter Stone, Animesh Garg, Yuke Zhu, Anima Anandkumar |
| 2021 | ICML | AlphaNet: Improved Training of Supernets with Alpha-Divergence. | Dilin Wang, Chengyue Gong, Meng Li, Qiang Liu, Vikas Chandra |
| 2021 | ICNP | Constraint-Aware Deep Reinforcement Learning for End-to-End Resource Orchestration in Mobile Networks. | Qiang Liu, Nakjung Choi, Tao Han |
| 2021 | ICONIP | Knowledge-Based Multiple Lightweight Attribute Networks for Zero-Shot Learning. | Zehuan Zhang, Qiang Liu, Difei Guo |
| 2021 | IGARSS | Himawari Thermal Anomaly Scrutiny with Deep Learning. | Qurratulain Safder, Haoyu Zhang, Mingcang Zhu, Fangrong Zhou, Yong He, Lifeng Liu, Zezhong Zheng, Zhongnian Li, Zhiyong Wang, Mingqi Li, Ling Jiang, Qiang Liu, Xuemei Li |
| 2021 | IGARSS | Relationship Between Defects of Capacitive Equipment and Geomorphology. | Chen Xie, Qingjun Peng, Zezhong Zheng, Zhongnian Li, Zhiyong Wang, Mingqi Li, Ling Jiang, Qiang Liu, Xuemei Li |
| 2021 | IGARSS | The Reprocessing for Himawari-8 Based on Deep Learning. | Haoyu Zhang, Zezhong Zheng, Mingcang Zhu, Fangrong Zhou, Yong He, Zhongnian Li, Guoqing Zhou, Zhiyong Wang, Mingqi Li, Ling Jiang, Qiang Liu, Xuemei Li |
| 2021 | INFOCOM | AutoCEW: An Autonomous Cyberspace Early Warning Framework via Ensemble Learning. | Qiang Liu, Yifei Gao, Runhao Liu, Jiayao Wang |
| 2021 | INFOCOM | LiveMap: Real-Time Dynamic Map in Automotive Edge Computing. | Qiang Liu, Tao Han, Jiang (Linda) Xie, BaekGyu Kim |
| 2021 | IGARSS | Landslide Risk Classification Based on Ensemble Machine Learning. | Leiyu Dai, Mingcang Zhu, Zhanyong He, Yong He, Zezhong Zheng, Guoqing Zhou, Chao Wang, Juan Ren, Hongqiong Tang, Qiang Liu, Fang Huang, Zhongnian Li, Mujie Li, Zhiyong Wang, Mingqi Li, Ling Jiang |
| 2021 | IGARSS | Urban Residential Land Price Assessment Based on Transfer Learning. | Weishi Jin, Mingcang Zhu, Yong He, Jie Li, Zezhong Zheng, Mingkun Feng, Zhongnian Li, Zhiyong Wang, Mingqi Li, Ling Jiang, Qiang Liu, Ankai Hou, Biao Zhang, Xuemei Li |
| 2021 | IGARSS | Classification of Surface Natural Resources Based on HR-Net and DEM. | Mujie Li, Mingcang Zhu, Yong He, Jianying Shu, Pengshan Li, Ankai Hou, Zezhong Zheng, Guoqing Zhou, Zhongnian Li, Zhiyong Wang, Mingqi Li, Ling Jiang, Qiang Liu, Xuemei Li |
| 2021 | ISCAS | Lightweight and Configurable Synchronizer and Demodulator Design for PDSCH on FPGA. | Chongguang Yao, Qiang Liu, Linan Wang, Qingye Zhang, Honghui Tang, Maoshen Zhang |
| 2021 | ISCAS | A Digital and Lightweight Delay-Based Detector against Fault Injection Attacks. | Maoshen Zhang, Qiang Liu |
| 2021 | IWCMC | Intelligent Reflecting Surface-Assisted ambient Backscatter Networks: Reflection Design. | Qiang Liu, Songlin Sun, Michel Kadoch |
| 2021 | KDD | Are we really making much progress?: Revisiting, benchmarking and refining heterogeneous graph neural networks. | Qingsong Lv, Ming Ding, Qiang Liu, Yuxiang Chen, Wenzheng Feng, Siming He, Chang Zhou, Jianguo Jiang, Yuxiao Dong, Jie Tang |
| 2021 | KSEM | Landscape-Enhanced Graph Attention Network for Rumor Detection. | Jianguo Jiang, Qiang Liu, Min Yu, Gang Li, Mingqi Liu, Chao Liu, Weiqing Huang |
| 2021 | MICRO | Archytas: A Framework for Synthesizing and Dynamically Optimizing Accelerators for Robotic Localization. | Weizhuang Liu, Bo Yu, Yiming Gan, Qiang Liu, Jie Tang, Shaoshan Liu, Yuhao Zhu |
| 2021 | WWW | Graph Contrastive Learning with Adaptive Augmentation. | Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang |
| 2021 | WWW | STAN: Spatio-Temporal Attention Network for Next Location Recommendation. | Yingtao Luo, Qiang Liu, Zhaocheng Liu |
| 2020 | ACL | SAFER: A Structure-free Approach for Certified Robustness to Adversarial Word Substitutions. | Mao Ye, Chengyue Gong, Qiang Liu |
| 2020 | AISTATS | Stein Variational Inference for Discrete Distributions. | Jun Han, Fan Ding, Xianglong Liu, Lorenzo Torresani, Jian Peng, Qiang Liu |
| 2020 | CIKM | Deep Interaction Machine: A Simple but Effective Model for High-order Feature Interactions. | Feng Yu, Zhaocheng Liu, Qiang Liu, Haoli Zhang, Shu Wu, Liang Wang |
| 2020 | GLOBECOM | DeepSlicing: Deep Reinforcement Learning Assisted Resource Allocation for Network Slicing. | Qiang Liu, Tao Han, Ning Zhang, Ye Wang |
| 2020 | HPCA | DWT: Decoupled Workload Tracing for Data Centers. | Jian Chen, Ying Zhang, Xiaowei Jiang, Li Zhao, Zheng Cao, Qiang Liu |
| 2020 | ICA3PP | MEFE: A Multi-fEature Knowledge Fusion and Evaluation Method Based on BERT. | Yimu Ji, Lin Hu, Shangdong Liu, Zhengyang Xu, Yanlan Liu, Kaihang Liu, Shuning Tang, Qiang Liu, Wan Xiao |
| 2020 | ICDCS | EdgeSlice: Slicing Wireless Edge Computing Network with Decentralized Deep Reinforcement Learning. | Qiang Liu, Tao Han, Ephraim Moges |
| 2020 | ICLR | Black-box Off-policy Estimation for Infinite-Horizon Reinforcement Learning. | Ali Mousavi, Lihong Li, Qiang Liu, Denny Zhou |
| 2020 | ICLR | Doubly Robust Bias Reduction in Infinite Horizon Off-Policy Estimation. | Ziyang Tang, Yihao Feng, Lihong Li, Dengyong Zhou, Qiang Liu |
| 2020 | ICML | Accountable Off-Policy Evaluation With Kernel Bellman Statistics. | Yihao Feng, Tongzheng Ren, Ziyang Tang, Qiang Liu |
| 2020 | ICML | A Chance-Constrained Generative Framework for Sequence Optimization. | Xianggen Liu, Qiang Liu, Sen Song, Jian Peng |
| 2020 | ICML | Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection. | Mao Ye, Chengyue Gong, Lizhen Nie, Denny Zhou, Adam R. Klivans, Qiang Liu |
| 2020 | ICML | Go Wide, Then Narrow: Efficient Training of Deep Thin Networks. | Denny Zhou, Mao Ye, Chen Chen, Tianjian Meng, Mingxing Tan, Xiaodan Song, Quoc V. Le, Qiang Liu, Dale Schuurmans |
| 2020 | IGARSS | Similar Region Recommendation Based on Histogram Features. | Qiankun Liu, Qiang Liu, Dingyou Xu, Jing He, Yukun Mao |
| 2020 | ISPASS | CETUS: Towards Proportional Capacity Provisioning and Cost-Effectiveness in Frontend Servers. | Xiaoyu Zhang, Ying Zhang, Xiaowei Jiang, Jian Chen, Xin Long, Zheng Cao, Qiang Liu |
| 2020 | WCNC | Joint User-Centric Clustering and Frequency Allocation in Ultra-Dense C-RAN. | Qiang Liu, Songlin Sun, Hui Gao |
| 2020 | SIGIR | TFNet: Multi-Semantic Feature Interaction for CTR Prediction. | Shu Wu, Feng Yu, Xueli Yu, Qiang Liu, Liang Wang, Tieniu Tan, Jie Shao, Fan Huang |
| 2020 | SIGIR | TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation. | Feng Yu, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan |
| 2020 | SIGMOD | Taurus Database: How to be Fast, Available, and Frugal in the Cloud. | Alex Depoutovitch, Chong Chen, Jin Chen, Paul Larson, Shu Lin, Jack Ng, Wenlin Cui, Qiang Liu, Wei Huang, Yong Xiao, Yongjun He |
| 2019 | AAAI | Robustness Can Be Cheap: A Highly Efficient Approach to Discover Outliers under High Outlier Ratios. | Siqi Wang, En Zhu, Xiping Hu, Xinwang Liu, Qiang Liu, Jianping Yin, Fei Wang |
| 2019 | ACII | Imputing Missing Social Media Data Stream in Multisensor Studies of Human Behavior. | Koustuv Saha, Raghu Mulukutla, Kari Nies, Pablo Robles-Granda, Anusha Sirigiri, Dong Whi Yoo, Pino G. Audia, Andrew T. Campbell, Nitesh V. Chawla, Sidney K. D'Mello, Anind K. Dey, Manikanta D. Reddy, Kaifeng Jiang, Qiang Liu, Gloria Mark, Edward Moskal, Aaron Striegel, Munmun De Choudhury, Vedant Das Swain, Julie M. Gregg, Ted Grover, Suwen Lin, Gonzalo J. Martnez, Stephen M. Mattingly, Shayan Mirjafari |
| 2019 | ASPDAC | LithoROC: lithography hotspot detection with explicit ROC optimization. | Wei Ye, Yibo Lin, Meng Li, Qiang Liu, David Z. Pan |
| 2019 | CEC | Reference Vector Based Multidirectional Prediction for Evolutionary Dynamic Multiobjective Optimization. | Qiang Liu, Jinliang Ding |
| 2019 | CHI | The Tesserae Project: Large-Scale, Longitudinal, | Stephen M. Mattingly, Julie M. Gregg, Pino G. Audia, Ayse Elvan Bayraktaroglu, Andrew T. Campbell, Nitesh V. Chawla, Vedant Das Swain, Munmun De Choudhury, Sidney K. D'Mello, Anind K. Dey, Ge Gao, Krithika Jagannath, Kaifeng Jiang, Suwen Lin, Qiang Liu, Gloria Mark, Gonzalo J. Martnez, Kizito Masaba, Shayan Mirjafari, Edward Moskal, Raghu Mulukutla, Kari Nies, Manikanta D. Reddy, Pablo Robles-Granda, Koustuv Saha, Anusha Sirigiri, Aaron Striegel |
| 2019 | CIKM | Towards Accurate and Interpretable Sequential Prediction: A CNN & Attention-Based Feature Extractor. | Jingyi Wang, Qiang Liu, Zhaocheng Liu, Shu Wu |
| 2019 | CIKM | Attributed Multi-Relational Attention Network for Fact-checking URL Recommendation. | Di You, Nguyen Vo, Kyumin Lee, Qiang Liu |
| 2019 | CoNEXT | When Network Slicing meets Deep Reinforcement Learning. | Qiang Liu, Tao Han |
| 2019 | FCCM | π-BA: Bundle Adjustment Acceleration on Embedded FPGAs with Co-observation Optimization. | Shuzhen Qin, Qiang Liu, Bo Yu, Shaoshan Liu |
| 2019 | ICCAD | Mixed Precision Neural Architecture Search for Energy Efficient Deep Learning. | ChengYue Gong, Zixuan Jiang, Dilin Wang, Yibo Lin, Qiang Liu, David Z. Pan |
| 2019 | ICDCN | Measurements and analytics of wide-area file transfers over dedicated connections. | Nageswara S. V. Rao, Qiang Liu, Satyabrata Sen, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster |
| 2019 | ICDCS | VirtualEdge: Multi-Domain Resource Orchestration and Virtualization in Cellular Edge Computing. | Qiang Liu, Tao Han |
| 2019 | ICIG | Common Subspace Based Low-Rank and Joint Sparse Representation for Multi-view Face Recognition. | Ziqiang Wang, Yingzhi Ouyang, Weidan Zhu, Bin Sun, Qiang Liu |
| 2019 | ICLR | Learning Self-Imitating Diverse Policies. | Tanmay Gangwani, Qiang Liu, Jian Peng |
| 2019 | ICLR | Off-Policy Evaluation and Learning from Logged Bandit Feedback: Error Reduction via Surrogate Policy. | Yuan Xie, Boyi Liu, Qiang Liu, Zhaoran Wang, Yuan Zhou, Jian Peng |
| 2019 | ICML | Quantile Stein Variational Gradient Descent for Batch Bayesian Optimization. | ChengYue Gong, Jian Peng, Qiang Liu |
| 2019 | ICML | Nonlinear Stein Variational Gradient Descent for Learning Diversified Mixture Models. | Dilin Wang, Qiang Liu |
| 2019 | ICML | Improving Neural Language Modeling via Adversarial Training. | Dilin Wang, ChengYue Gong, Qiang Liu |
| 2019 | MICCAI | Tracking of Intracavitary Instrument Markers in Coronary Angiography Images. | Yihe Zhang, Xiuxiu Bai, Qinhua Jin, Jing Jing, Yundai Chen, Qiang Liu, Wenhui Tang, Quanmao Lu, Yanan Mi, Rui Zhu, Yihui Cao |
| 2019 | MOBIHOC | DIRECT: Distributed Cross-Domain Resource Orchestration in Cellular Edge Computing. | Qiang Liu, Tao Han |
| 2019 | UAI | Learning Belief Representations for Imitation Learning in POMDPs. | Tanmay Gangwani, Joel Lehman, Qiang Liu, Jian Peng |
| 2018 | DCOSS | Projection-Based Constrained Fusion Performance with Link Loss and Measurement Bias. | Qiang Liu |
| 2018 | FPL | Resource Reduction of BFGS Quasi-Newton Implementation on FPGA Using Fixed-Point Matrix Updating. | Jia Liu, Qiang Liu |
| 2018 | FUSION | On Effect of Information Loss on Fuser Quality and Utility. | Qiang Liu, Nageswara S. V. Rao |
| 2018 | GLOBECOM | Joint Radio and Computation Resource Management for Low Latency Mobile Edge Computing. | Qiang Liu, Tao Han, Nirwan Ansari |
| 2018 | GLOBECOM | Energy-Efficient On-Demand Cloud Radio Access Networks Virtualization. | Qiang Liu, Tao Han, Nirwan Ansari |
| 2018 | GLOBECOM | Bio-Inspired Design and Implementation of Mobile Molecular Communication Systems at the Macroscale. | Haoyang Zhai, Liting Yang, Tadashi Nakano, Qiang Liu, Kun Yang |
| 2018 | HPCC | On Concavity and Utilization Analytics of Wide-Area Network Transport Protocols. | Qiang Liu, Nageswara S. V. Rao |
| 2018 | HPDC | Virtual Environment for Testing Software-Defined Networking Solutions for Scientific Workflows. | Qiang Liu, Nageswara S. V. Rao, Satyabrata Sen, Bradley W. Settlemyer, Hsing-Bung Chen, Joshua M. Boley, Rajkumar Kettimuthu, Dimitrios Katramatos |
| 2018 | ICDCN | Software-Defined Network Solutions for Science Scenarios: Performance Testing Framework and Measurements. | Nageswara S. V. Rao, Qiang Liu, Satyabrata Sen, Rajkumar Kettimuthu, Joshua M. Boley, Bradley W. Settlemyer, Hsing-Bung Chen, Dimitrios Katramatos, Dantong Yu |
| 2018 | ICLR | Action-dependent Control Variates for Policy Optimization via Stein Identity. | Hao Liu, Yihao Feng, Yi Mao, Dengyong Zhou, Jian Peng, Qiang Liu |
| 2018 | ICLR | An Optimization View on Dynamic Routing Between Capsules. | Dilin Wang, Qiang Liu |
| 2018 | ICLR | On the Discrimination-Generalization Tradeoff in GANs. | Pengchuan Zhang, Qiang Liu, Dengyong Zhou, Tao Xu, Xiaodong He |
| 2018 | ICML | Stein Variational Gradient Descent Without Gradient. | Jun Han, Qiang Liu |
| 2018 | ICML | Stein Variational Message Passing for Continuous Graphical Models. | Dilin Wang, Zhe Zeng, Qiang Liu |
| 2018 | ICML | Learning to Explore via Meta-Policy Gradient. | Tianbing Xu, Qiang Liu, Liang Zhao, Jian Peng |
| 2018 | ICML | Goodness-of-fit Testing for Discrete Distributions via Stein Discrepancy. | Jiasen Yang, Qiang Liu, Vinayak A. Rao, Jennifer Neville |
| 2018 | ICNC | An Indicator Based Multi-Objective Fuzzy Immune Evolutionary Algorithm. | Qiang Liu, Lei Liu, Xuhua Shi |
| 2018 | ICNP | DARE: Dynamic Adaptive Mobile Augmented Reality with Edge Computing. | Qiang Liu, Tao Han |
| 2018 | ICNP | Demo Abstract: Themis: Cross-Domain Resource Orchestration and Virtualization in Cellular Computing Networks. | Qiang Liu, Tao Han |
| 2018 | IJCAI | Efficient Localized Inference for Large Graphical Models. | Jinglin Chen, Jian Peng, Qiang Liu |