| 2026 | AAAI | DiffBench Meets DiffAgent: End-to-End LLM-Driven Diffusion Acceleration Code Generation. | Jiajun Jiao, Haowei Zhu, Puyuan Yang, Jianghui Wang, Ji Liu, Ziqiong Liu, Dong Li, Yuejian Fang, Jun-Hai Yong, Bin Wang, Emad Barsoum |
| 2026 | AAAI | Learnable Permutation for Structured Sparsity on Transformer Models. | Zekai Li, Ji Liu, Guanchen Li, Yixing Xu, Ziqiong Liu, Xuanwu Yin, Dong Li, Emad Barsoum |
| 2026 | ACL | SCMAPR: Self-Correcting Multi-Agent Prompt Refinement for Complex-Scenario Text-to-Video Generation. | Chengyi Yang, Pengzhen Li, Jiayin Qi, Aimin Zhou, Ji Wu, Ji Liu |
| 2025 | AAAI | EGSRAL: An Enhanced 3D Gaussian Splatting Based Renderer with Automated Labeling for Large-Scale Driving Scene. | Yixiong Huo, Guangfeng Jiang, Hongyang Wei, Ji Liu, Song Zhang, Han Liu, Xingliang Huang, Mingjie Lu, Jinzhang Peng, Dong Li, Lu Tian, Emad Barsoum |
| 2025 | ACL | SGDPO: Self-Guided Direct Preference Optimization for Language Model Alignment. | Wenqiao Zhu, Ji Liu, Lulu Wang, Jun Wu, Yulun Zhang |
| 2025 | DAC | Hardware-Software Co-design for Distributed Quantum Computing. | Ji Liu, Allen Zang, Martin Suchara, Tian Zhong, Paul D. Hovland |
| 2025 | EMNLP | CARFT: Boosting LLM Reasoning via Contrastive Learning with Annotated Chain-of-Thought-based Reinforced Fine-Tuning. | Wenqiao Zhu, Ji Liu, Rongjunchen Zhang, Haipang Wu, Yulun Zhang |
| 2025 | HiPC | HOPPS: Hardware-Aware Optimal Phase Polynomial Synthesis with Blockwise Optimization for Quantum Circuits. | Xinpeng Li, Ji Liu, Shuai Xu, Paul D. Hovland, Vipin Chaudhary |
| 2025 | HPCA | QuCLEAR: Clifford Extraction and Absorption for Quantum Circuit Optimization. | Ji Liu, Alvin Gonzales, Benchen Huang, Zain Hamid Saleem, Paul D. Hovland |
| 2025 | IJCNN | LaneGS:Novel View Synthesis for Lane Change Scenarios in Autonomous Driving. | Youtao Tang, Ji Liu, Chengliang Wang, Tian Jiang, Yonggang Luo |
| 2025 | IJCNN | SBR-GS:Enhancing Scene Editability based on Static Background Reconstruction using Gaussian Splatting. | Jingyi Wu, Chengliang Wang, Ji Liu, Tian Jiang, Yonggang Luo |
| 2025 | ICTAI | Ground Penetrating Radar-Assisted Multimodal Robot Odometry Using Subsurface Feature Matrix. | Haifeng Li, Jiajun Guo, Xuanxin Fan, Huaichao Wang, Ji Liu, Kairat Koshekov, Dezhen Song |
| 2025 | KDD | HyperZero: A Customized End-to-End Auto-Tuning System for Recommendation with Hourly Feedback. | Xufeng Cai, Ziwei Guan, Lei Yuan, Ali Selman Aydin, Tengyu Xu, Boying Liu, Wenbo Ren, Renkai Xiang, Songyi He, Haichuan Yang, Serena Li, Mingze Gao, Yue Weng, Ji Liu |
| 2025 | KDD | SWaT: Statistical Modeling of Video Watch Time through User Behavior Analysis. | Shentao Yang, Haichuan Yang, Linna Du, Adithya Ganesh, Bo Peng, Boying Liu, Serena Li, Ji Liu |
| 2025 | NAACL | Amphista: Bi-directional Multi-head Decoding for Accelerating LLM Inference. | Zeping Li, Xinlong Yang, Ziheng Gao, Ji Liu, Guanchen Li, Zhuang Liu, Dong Li, Jinzhang Peng, Lu Tian, Emad Barsoum |
| 2025 | QCE | Benchmarking Fidelity Metrics of Quantum Computers. | Shubdeep Mohapatra, Hrushikesh Pramod Patil, Ji Liu, Huiyang Zhou |
| 2025 | QCE | Is Circuit Depth Accurate for Comparing Quantum Circuit Runtimes? | Matthew Tremba, Paul D. Hovland, Ji Liu |
| 2025 | SMC | POGS: Position-Optimized Gaussian Splatting for Reconstruction in Unevenly Illuminated Scenarios. | Chaoyu Gao, Chengliang Wang, Ji Liu, Yonggang Luo, Tian Jiang, Bo Zheng |
| 2024 | AAAI | G-LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint). | Xuhong Li, Haoyi Xiong, Xingjian Li, Xiao Zhang, Ji Liu, Haiyan Jiang, Zeyu Chen, Dejing Dou |
| 2024 | AAAI | FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update. | Ji Liu, Juncheng Jia, Tianshi Che, Chao Huo, Jiaxiang Ren, Yang Zhou, Huaiyu Dai, Dejing Dou |
| 2024 | AAAI | UPDP: A Unified Progressive Depth Pruner for CNN and Vision Transformer. | Ji Liu, Dehua Tang, Yuanxian Huang, Li Zhang, Xiaocheng Zeng, Dong Li, Mingjie Lu, Jinzhang Peng, Yu Wang, Fan Jiang, Lu Tian, Ashish Sirasao |
| 2024 | ACCV | HMGS: Hybrid Model of Gaussian Splatting for Enhancing 3D Reconstruction with Reflections. | Hengbin Zhang, Chengliang Wang, Ji Liu, Tian Jiang, Yonggang Luo, Lecheng Xie |
| 2024 | AISTATS | Sampling-based Safe Reinforcement Learning for Nonlinear Dynamical Systems. | Wesley Suttle, Vipul Kumar Sharma, Krishna Chaitanya Kosaraju, Seetharaman Sivaranjani, Ji Liu, Vijay Gupta, Brian M. Sadler |
| 2024 | DAC | Invited: Graph Learning for Parameter Prediction of Quantum Approximate Optimization Algorithm. | Zhiding Liang, Gang Liu, Zheyuan Liu, Jinglei Cheng, Tianyi Hao, Kecheng Liu, Hang Ren, Zhixin Song, Ji Liu, Fanny Ye, Yiyu Shi |
| 2024 | EMNLP | Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models. | Ji Liu, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Yang Zhou, Patrick Valduriez, Dejing Dou |
| 2024 | ICDCS | Multi-User Entanglement Routing Design over Quantum Internets. | Yiming Zeng, Jiarui Zhang, Xiaojun Shang, Ji Liu, Zhenhua Liu, Yuanyuan Yang |
| 2024 | ISCA | QuTracer: Mitigating Quantum Gate and Measurement Errors by Tracing Subsets of Qubits. | Peiyi Li, Ji Liu, Alvin Gonzales, Zain H. Saleem, Huiyang Zhou, Paul D. Hovland |
| 2024 | KDD | Inductive Modeling for Realtime Cold Start Recommendations. | Chandler Zuo, Jonathan Castaldo, Hanqing Zhu, Haoyu Zhang, Ji Liu, Yangpeng Ou, Xiao Kong |
| 2024 | QCE | Pauli Check Sandwiching for Quantum Characterization and Error Mitigation during Runtime. | Joshua Gao, Ji Liu, Alvin Gonzales, Zain H. Saleem, Nikos Hardavellas, Kaitlin N. Smith |
| 2024 | QCE | Arbitrary State Preparation via Quantum Walks. | Alvin Gonzales, Rebekah Herrman, Colin Campbell, Igor Gaidai, Ji Liu, Teague Tomesh, Zain H. Saleem |
| 2024 | QCE | Pauli Check Extrapolation for Quantum Error Mitigation. | Quinn Langfitt, Ji Liu, Benchen Huang, Alvin Gonzales, Kaitlin N. Smith, Nikos Hardavellas, Zain H. Saleem |
| 2024 | SDM | AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices. | Ji Liu, Tianshi Che, Yang Zhou, Ruoming Jin, Huaiyu Dai, Dejing Dou, Patrick Valduriez |
| 2023 | AAAI | PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor. | Shun Lu, Yu Hu, Peihao Wang, Yan Han, Jianchao Tan, Jixiang Li, Sen Yang, Ji Liu |
| 2023 | AAAI | ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-Cost Proxies. | Yu Shen, Yang Li, Jian Zheng, Wentao Zhang, Peng Yao, Jixiang Li, Sen Yang, Ji Liu, Bin Cui |
| 2023 | AAAI | Quality-Aware Self-Training on Differentiable Synthesis of Rare Relational Data. | Chongsheng Zhang, Yaxin Hou, Ke Chen, Shuang Cao, Gaojuan Fan, Ji Liu |
| 2023 | CISS | Information-Directed Policy Search in Sparse-Reward Settings via the Occupancy Information Ratio. | Wesley A. Suttle, Alec Koppel, Ji Liu |
| 2023 | CVPR | Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising. | Miaoyu Li, Ji Liu, Ying Fu, Yulun Zhang, Dejing Dou |
| 2023 | CVPR | LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising. | Zichun Wang, Ying Fu, Ji Liu, Yulun Zhang |
| 2023 | CVPR | AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection. | Wentao Zhu, Yufang Huang, Xiufeng Xie, Wenxian Liu, Jincan Deng, Debing Zhang, Zhangyang Wang, Ji Liu |
| 2023 | DAC | Hybrid Gate-Pulse Model for Variational Quantum Algorithms. | Zhiding Liang, Zhixin Song, Jinglei Cheng, Zichang He, Ji Liu, Hanrui Wang, Ruiyang Qin, Yiru Wang, Song Han, Xuehai Qian, Yiyu Shi |
| 2023 | EMNLP | Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization. | Tianshi Che, Ji Liu, Yang Zhou, Jiaxiang Ren, Jiwen Zhou, Victor S. Sheng, Huaiyu Dai, Dejing Dou |
| 2023 | ICCD | Enhancing Virtual Distillation with Circuit Cutting for Quantum Error Mitigation. | Peiyi Li, Ji Liu, Hrushikesh Pramod Patil, Paul D. Hovland, Huiyang Zhou |
| 2023 | ICCV | Pixel Adaptive Deep Unfolding Transformer for Hyperspectral Image Reconstruction. | Miaoyu Li, Ying Fu, Ji Liu, Yulun Zhang |
| 2023 | ICDCS | Entanglement Routing Over Quantum Networks Using Greenberger-Horne-Zeilinger Measurements. | Yiming Zeng, Jiarui Zhang, Ji Liu, Zhenhua Liu, Yuanyuan Yang |
| 2023 | ICDE | Multimodal Biological Knowledge Graph Completion via Triple Co-Attention Mechanism. | Derong Xu, Jingbo Zhou, Tong Xu, Yuan Xia, Ji Liu, Enhong Chen, Dejing Dou |
| 2023 | ICML | Fast Federated Machine Unlearning with Nonlinear Functional Theory. | Tianshi Che, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Ji Liu, Da Yan, Dejing Dou, Jun Huan |
| 2023 | IJCAI | Accurate MRI Reconstruction via Multi-Domain Recurrent Networks. | Jinbao Wei, Zhijie Wang, Kongqiao Wang, Li Guo, Xueyang Fu, Ji Liu, Xun Chen |
| 2023 | ISCAS | QContext: Context-Aware Decomposition for Quantum Gates. | Ji Liu, Max Bowman, Pranav Gokhale, Siddharth Dangwal, Jeffrey Larson, Frederic T. Chong, Paul D. Hovland |
| 2023 | ICS | FT-topo: Architecture-Driven Folded-Triangle Partitioning for Communication-efficient Graph Processing. | Xinbiao Gan, Guang Wu, Ruigeng Zeng, Jiaqi Si, Ji Liu, Daxiang Dong, Chunye Gong, Cong Liu, Tiejun Li |
| 2023 | KDD | Multi-Temporal Relationship Inference in Urban Areas. | Shuangli Li, Jingbo Zhou, Ji Liu, Tong Xu, Enhong Chen, Hui Xiong |
| 2023 | QCE | Superstaq: Deep Optimization of Quantum Programs. | Colin Campbell, Frederic T. Chong, Denny Dahl, Paige Frederick, Palash Goiporia, Pranav Gokhale, Benjamin P. Hall, Salahedeen Issa, Eric Jones, Stephanie Lee, Andrew Litteken, Victory Omole, David Owusu-Antwi, Michael A. Perlin, Richard Rines, Kaitlin N. Smith, Noah Goss, Akel Hashim, Ravi Naik, Ed Younis, Daniel S. Lobser, Christopher G. Yale, Benchen Huang, Ji Liu |
| 2023 | QCE | Online Detection of Golden Circuit Cutting Points. | Daniel T. Chen, Ethan H. Hansen, Xinpeng Li, Aaron Orenstein, Vinooth Kulkarni, Vipin Chaudhary, Qiang Guan, Ji Liu, Yang Zhang, Shuai Xu |
| 2023 | QCE | Tackling the Qubit Mapping Problem with Permutation-Aware Synthesis. | Ji Liu, Ed Younis, Mathias Weiden, Paul D. Hovland, John Kubiatowicz, Costin Iancu |
| 2023 | QCE | Folding-Free ZNE: A Comprehensive Quantum Zero-Noise Extrapolation Approach for Mitigating Depolarizing and Decoherence Noise. | Hrushikesh Pramod Patil, Peiyi Li, Ji Liu, Huiyang Zhou |
| 2022 | AAAI | Efficient Device Scheduling with Multi-Job Federated Learning. | Chendi Zhou, Ji Liu, Juncheng Jia, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou |
| 2022 | CISS | Policy Gradient for Ratio Optimization: A Case Study. | Wesley A. Suttle, Alec Koppel, Ji Liu |
| 2022 | CVPR | Dynamic Sparse R-CNN. | Qinghang Hong, Fengming Liu, Dong Li, Ji Liu, Lu Tian, Yi Shan |
| 2022 | CVPR | Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification. | Haowei Zhu, Wenjing Ke, Dong Li, Ji Liu, Lu Tian, Yi Shan |
| 2022 | DATE | Energy Efficient, Real-time and Reliable Task Deployment on NoC-based Multicores with DVFS. | Lei Mo, Qi Zhou, Angeliki Kritikakou, Ji Liu |
| 2022 | ECCV | Bandwidth-Aware Adaptive Codec for DNN Inference Offloading in IoT. | Xiufeng Xie, Ning Zhou, Wentao Zhu, Ji Liu |
| 2022 | ECCV | Multi-granularity Pruning for Model Acceleration on Mobile Devices. | Tianli Zhao, Xi Sheryl Zhang, Wentao Zhu, Jiaxing Wang, Sen Yang, Ji Liu, Jian Cheng |
| 2022 | HPCA | Not All SWAPs Have the Same Cost: A Case for Optimization-Aware Qubit Routing. | Ji Liu, Peiyi Li, Huiyang Zhou |
| 2022 | ICASSP | Progressive Teacher-Student Training Framework for Music Tagging. | Rui Lu, Baigong Zheng, Jiarui Hai, Fei Tao, Zhiyao Duan, Ji Liu |
| 2022 | ICBC | i-Bond: A Next Generation Bond's Issuing Service System. | Ji Liu, Zheng Xu, Yilin Sai, Yanmei Zhang, Dong Yuan, Shiping Chen |
| 2022 | ICCD | Exploiting Quantum Assertions for Error Mitigation and Quantum Program Debugging. | Peiyi Li, Ji Liu, Yangjia Li, Huiyang Zhou |
| 2022 | ICDCS | Distributed and Decentralized Edge Caching in 5G Networks Using Non-Volatile Memory Systems. | Yiming Zeng, Yaodong Huang, Zhenhua Liu, Ji Liu |
| 2022 | ICDM | Federated Fingerprint Learning with Heterogeneous Architectures. | Tianshi Che, Zijie Zhang, Yang Zhou, Xin Zhao, Ji Liu, Zhe Jiang, Da Yan, Ruoming Jin, Dejing Dou |
| 2022 | ICLR | Unified Visual Transformer Compression. | Shixing Yu, Tianlong Chen, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Liu, Zhangyang Wang |
| 2022 | ICML | Accelerated Federated Learning with Decoupled Adaptive Optimization. | Jiayin Jin, Jiaxiang Ren, Yang Zhou, Lingjuan Lyu, Ji Liu, Dejing Dou |
| 2022 | ICPP | FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity. | Guanghao Li, Yue Hu, Miao Zhang, Ji Liu, Quanjun Yin, Yong Peng, Dejing Dou |
| 2022 | IJCAI | FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server. | Hong Zhang, Ji Liu, Juncheng Jia, Yang Zhou, Huaiyu Dai, Dejing Dou |
| 2022 | INFOCOM | Multi-Entanglement Routing Design over Quantum Networks. | Yiming Zeng, Jiarui Zhang, Ji Liu, Zhenhua Liu, Yuanyuan Yang |
| 2022 | KDD | Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters. | Xiangru Lian, Binhang Yuan, Xuefeng Zhu, Yulong Wang, Yongjun He, Honghuan Wu, Lei Sun, Haodong Lyu, Chengjun Liu, Xing Dong, Yiqiao Liao, Mingnan Luo, Congfei Zhang, Jingru Xie, Haonan Li, Lei Chen, Renjie Huang, Jianying Lin, Chengchun Shu, Xuezhong Qiu, Zhishan Liu, Dongying Kong, Lei Yuan, Hai Yu, Sen Yang, Ce Zhang, Ji Liu |
| 2022 | KDD | Fair Representation Learning: An Alternative to Mutual Information. | Ji Liu, Zenan Li, Yuan Yao, Feng Xu, Xiaoxing Ma, Miao Xu, Hanghang Tong |
| 2022 | MMM | Skeletonization Based on K-Nearest-Neighbors on Binary Image. | Yi Ren, Min Zhang, Hongyu Zhou, Ji Liu |
| 2022 | MMM | Combining Knowledge and Multi-modal Fusion for Meme Classification. | Qi Zhong, Qian Wang, Ji Liu |
| 2022 | WWW | Prototype Feature Extraction for Multi-task Learning. | Shen Xin, Yuhang Jiao, Cheng Long, Yuguang Wang, Xiaowei Wang, Sen Yang, Ji Liu, Jie Zhang |
| 2022 | SIGMOD | In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle. | Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cdric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang |
| 2021 | AAAI | C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak. | Congxi Xiao, Jingbo Zhou, Jizhou Huang, An Zhuo, Ji Liu, Haoyi Xiong, Dejing Dou |
| 2021 | AAAI | Optimizing Information Theory Based Bitwise Bottlenecks for Efficient Mixed-Precision Activation Quantization. | Xichuan Zhou, Kui Liu, Cong Shi, Haijun Liu, Ji Liu |
| 2021 | ACL | Incorporating Global Information in Local Attention for Knowledge Representation Learning. | Yu Zhao, Han Zhou, Ruobing Xie, Fuzhen Zhuang, Qing Li, Ji Liu |
| 2021 | ASRU | SpeechNAS: Towards Better Trade-Off Between Latency and Accuracy for Large-Scale Speaker Verification. | Wentao Zhu, Tianlong Kong, Shun Lu, Jixiang Li, Dawei Zhang, Feng Deng, Xiaorui Wang, Sen Yang, Ji Liu |
| 2021 | CGO | Relaxed Peephole Optimization: A Novel Compiler Optimization for Quantum Circuits. | Ji Liu, Luciano Bello, Huiyang Zhou |
| 2021 | COMPSAC | Hierarchical Clustering Based on Local Cores and Sharing Concept. | Jinxin Shi, Qingsheng Zhu, Junnan Li, Ji Liu, Dongdong Cheng |
| 2021 | CVPR | E2VTS: Energy-Efficient Video Text Spotting From Unmanned Aerial Vehicles. | Zhenyu Hu, Pengcheng Pi, Zhenyu Wu, Yunhe Xue, Jiayi Shen, Jianchao Tan, Xiangru Lian, Zhangyang Wang, Ji Liu |
| 2021 | CVPR | RankDetNet: Delving Into Ranking Constraints for Object Detection. | Ji Liu, Dong Li, Rongzhang Zheng, Lu Tian, Yi Shan |
| 2021 | EuroPar | Elastic Deep Learning Using Knowledge Distillation with Heterogeneous Computing Resources. | Daxiang Dong, Ji Liu, Xi Wang, Weibao Gong, An Qin, Xingjian Li, Dianhai Yu, Patrick Valduriez, Dejing Dou |
| 2021 | HPCA | Systematic Approaches for Precise and Approximate Quantum State Runtime Assertion. | Ji Liu, Huiyang Zhou |
| 2021 | ICCV | ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting. | Xiaohan Ding, Tianxiang Hao, Jianchao Tan, Ji Liu, Jungong Han, Yuchen Guo, Guiguang Ding |
| 2021 | ICCV | GDP: Stabilized Neural Network Pruning via Gates with Differentiable Polarization. | Yi Guo, Huan Yuan, Jianchao Tan, Zhangyang Wang, Sen Yang, Ji Liu |
| 2021 | ICCV | Improving Low-Precision Network Quantization via Bin Regularization. | Tiantian Han, Dong Li, Ji Liu, Lu Tian, Yi Shan |
| 2021 | ICCV | Hand Image Understanding via Deep Multi-Task Learning. | Xiong Zhang, Hongsheng Huang, Jianchao Tan, Hongmin Xu, Cheng Yang, Guozhu Peng, Lei Wang, Ji Liu |
| 2021 | ICLR | UMEC: Unified model and embedding compression for efficient recommendation systems. | Jiayi Shen, Haotao Wang, Shupeng Gui, Jianchao Tan, Zhangyang Wang, Ji Liu |
| 2021 | ICLR | Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments. | Daochen Zha, Wenye Ma, Lei Yuan, Xia Hu, Ji Liu |
| 2021 | ICML | Streaming Bayesian Deep Tensor Factorization. | Shikai Fang, Zheng Wang, Zhimeng Pan, Ji Liu, Shandian Zhe |
| 2021 | ICML | Reinforcement Learning for Cost-Aware Markov Decision Processes. | Wesley Suttle, Kaiqing Zhang, Zhuoran Yang, Ji Liu, David N. Kraemer |
| 2021 | ICML | 1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed. | Hanlin Tang, Shaoduo Gan, Ammar Ahmad Awan, Samyam Rajbhandari, Conglong Li, Xiangru Lian, Ji Liu, Ce Zhang, Yuxiong He |
| 2021 | ICML | DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning. | Daochen Zha, Jingru Xie, Wenye Ma, Sheng Zhang, Xiangru Lian, Xia Hu, Ji Liu |
| 2021 | ICSOC | A Blockchain-Based Autonomous System for Primary Financial Market. | Ji Liu, Shiping Chen |
| 2021 | ISNCC | Evaluation and Optimization of learning-based DNS over HTTPS Traffic Classification. | Yue Li, Abdulhalim Dandoush, Ji Liu |
| 2021 | KDD | MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal. | Weijia Zhang, Hao Liu, Lijun Zha, Hengshu Zhu, Ji Liu, Dejing Dou, Hui Xiong |
| 2021 | KDD | Purify and Generate: Learning Faithful Item-to-Item Graph from Noisy User-Item Interaction Behaviors. | Yue He, Yancheng Dong, Peng Cui, Yuhang Jiao, Xiaowei Wang, Ji Liu, Philip S. Yu |
| 2021 | SIGMETRICS | Federated Bandit: A Gossiping Approach. | Zhaowei Zhu, Jingxuan Zhu, Ji Liu, Yang Liu |
| 2021 | SERVICES | Cache-based Executive Request Dispatching Method in The Distributed Workflow System. | Bo Lv, Weilong Ding, Ji Liu |
| 2020 | AAAI | Feature Variance Regularization: A Simple Way to Improve the Generalizability of Neural Networks. | Ranran Huang, Hanbo Sun, Ji Liu, Lu Tian, Li Wang, Yi Shan, Yu Wang |
| 2020 | AAAI | Deep Embedded Complementary and Interactive Information for Multi-View Classification. | Jinglin Xu, Wenbin Li, Xinwang Liu, Dingwen Zhang, Ji Liu, Junwei Han |
| 2020 | ASPLOS | Quantum Circuits for Dynamic Runtime Assertions in Quantum Computation. | Ji Liu, Gregory T. Byrd, Huiyang Zhou |
| 2020 | CVPR | IMRAM: Iterative Matching With Recurrent Attention Memory for Cross-Modal Image-Text Retrieval. | Hui Chen, Guiguang Ding, Xudong Liu, Zijia Lin, Ji Liu, Jungong Han |
| 2020 | CVPR | Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-Based Approach. | Haichuan Yang, Shupeng Gui, Yuhao Zhu, Ji Liu |
| 2020 | ECCV | Hand-Transformer: Non-Autoregressive Structured Modeling for 3D Hand Pose Estimation. | Lin Huang, Jianchao Tan, Ji Liu, Junsong Yuan |
| 2020 | ECCV | GAN Slimming: All-in-One GAN Compression by a Unified Optimization Framework. | Haotao Wang, Shupeng Gui, Haichuan Yang, Ji Liu, Zhangyang Wang |
| 2020 | ICDCS | Privacy-Preserving Distributed Edge Caching for Mobile Data Offloading in 5G Networks. | Yiming Zeng, Yaodong Huang, Ji Liu, Yuanyuan Yang |
| 2020 | ICLR | Watch the Unobserved: A Simple Approach to Parallelizing Monte Carlo Tree Search. | Anji Liu, Jianshu Chen, Mingze Yu, Yu Zhai, Xuewen Zhou, Ji Liu |
| 2020 | ICS | MKPipe: a compiler framework for optimizing multi-kernel workloads in OpenCL for FPGA. | Ji Liu, Abdullah-Al Kafi, Xipeng Shen, Huiyang Zhou |
| 2020 | SIGMOD | Grosbeak: A Data Warehouse Supporting Resource-Aware Incremental Computing. | Zuozhi Wang, Kai Zeng, Botong Huang, Wei Chen, Xiaozong Cui, Bo Wang, Ji Liu, Liya Fan, Dachuan Qu, Zhenyu Hou, Tao Guan, Chen Li, Jingren Zhou |
| 2019 | AAAI | Optimal Projection Guided Transfer Hashing for Image Retrieval. | Ji Liu, Lei Zhang |
| 2019 | AISTATS | Revisit Batch Normalization: New Understanding and Refinement via Composition Optimization. | Xiangru Lian, Ji Liu |
| 2019 | AISTATS | AutoML from Service Provider's Perspective: Multi-device, Multi-tenant Model Selection with GP-EI. | Chen Yu, Bojan Karlas, Jie Zhong, Ce Zhang, Ji Liu |
| 2019 | BMVC | A Generic Active Learning Framework for Class Imbalance Applications. | Aditya R. Bhattacharya, Ji Liu, Shayok Chakraborty |
| 2019 | CVPR | ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model. | Haichuan Yang, Yuhao Zhu, Ji Liu |
| 2019 | ICLR | Marginal Policy Gradients: A Unified Family of Estimators for Bounded Action Spaces with Applications. | Carson Eisenach, Haichuan Yang, Ji Liu, Han Liu |
| 2019 | ICLR | Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking. | Haichuan Yang, Yuhao Zhu, Ji Liu |
| 2019 | ICML | DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-pass Error-Compensated Compression. | Hanlin Tang, Chen Yu, Xiangru Lian, Tong Zhang, Ji Liu |
| 2019 | ICML | Distributed Learning over Unreliable Networks. | Chen Yu, Hanlin Tang, Cdric Renggli, Simon Kassing, Ankit Singla, Dan Alistarh, Ce Zhang, Ji Liu |
| 2019 | IROS | Accelerated Visual Inertial Navigation via Fragmented Structure Updates. | Yehonathan Litman, Ya Wang, Ji Liu |
| 2019 | MMM | A Hierarchical Level Set Approach to for RGBD Image Matting. | Wenliang Zeng, Ji Liu |
| 2019 | SDM | Fast Unsupervised Location Category Inference from Highly Inaccurate Mobility Data. | Jinfeng Yi, Qi Lei, Wesley M. Gifford, Ji Liu, Junchi Yan, Bowen Zhou |
| 2018 | AAAI | Accelerated Method for Stochastic Composition Optimization With Nonsmooth Regularization. | Zhouyuan Huo, Bin Gu, Ji Liu, Heng Huang |
| 2018 | AAAI | R2PG: Risk-Sensitive and Reliable Policy Gradient. | Bo Liu, Ji Liu, Kenan Xiao |
| 2018 | GLOBECOM | Modeling Dishonest Behavior in Mobile Data Gathering Over Leasing Residential Sensor Networks. | Yiming Zeng, Pengzhan Zhou, Ji Liu, Yuanyuan Yang |
| 2018 | ICANN | Automatic Beautification for Group-Photo Facial Expressions Using Novel Bayesian GANs. | Ji Liu, Shuai Li, Wenfeng Song, Liang Liu, Hong Qin, Aimin Hao |
| 2018 | ICANN | Classification of Bone Tumor on CT Images Using Deep Convolutional Neural Network. | Yang Li, Wenyu Zhou, Guiwen Lv, Guibo Luo, Yuesheng Zhu, Ji Liu |
| 2018 | ICML | Asynchronous Decentralized Parallel Stochastic Gradient Descent. | Xiangru Lian, Wei Zhang, Ce Zhang, Ji Liu |
| 2018 | ICML | D | Hanlin Tang, Xiangru Lian, Ming Yan, Ce Zhang, Ji Liu |
| 2018 | IJCAI | New Balanced Active Learning Model and Optimization Algorithm. | Xiaoqian Wang, Yijun Huang, Ji Liu, Heng Huang |
| 2018 | IWQoS | A Stackelberg Game Framework for Mobile Data Gathering in Leasing Residential Sensor Networks. | Yiming Zeng, Pengzhan Zhou, Ji Liu, Yuanyuan Yang |
| 2018 | VLDB | Computation of PDFs on Big Spatial Data: Problem & Architecture. | Ji Liu, Noel Moreno Lemus, Esther Pacitti, Fbio Porto, Patrick Valduriez |
| 2018 | VLDB | Scientific Data Analysis Using Data-Intensive Scalable Computing: The SciDISC Project. | Patrick Valduriez, Marta Mattoso, Reza Akbarinia, Heraldo Borges, Jos J. Camata, Alvaro L. G. A. Coutinho, Daniel Gaspar, Noel Moreno Lemus, Ji Liu, Hermano Lustosa, Florent Masseglia, Fabrcio Nogueira da Silva, Vtor Silva, Renan Souza, Kary A. C. S. Ocaa, Eduardo S. Ogasawara, Daniel de Oliveira, Esther Pacitti, Fbio Porto, Dennis E. Shasha |
| 2017 | AISTATS | Finite-sum Composition Optimization via Variance Reduced Gradient Descent. | Xiangru Lian, Mengdi Wang, Ji Liu |
| 2017 | BigData | A Real-Time Scheduling Strategy Based on Processing Framework of Hadoop. | Fangbing Chen, Ji Liu, Yuesheng Zhu |
| 2017 | BMVC | Transformed Anti-Sparse Hashing. | Zhangyang Wang, Ji Liu, Shuai Huang, Xinchao Wang, Shiyu Chang |
| 2017 | ICDAR | Online Handwritten Mongolian Word Recognition Using a Novel Sliding Window Method with Recurrent Neural Networks. | Ji Liu, Long-Long Ma, Jian Wu |
| 2017 | ICDM | GaDei: On Scale-Up Training as a Service for Deep Learning. | Wei Zhang, Minwei Feng, Yunhui Zheng, Yufei Ren, Yandong Wang, Ji Liu, Peng Liu, Bing Xiang, Li Zhang, Bowen Zhou, Fei Wang |
| 2017 | ICML | On The Projection Operator to A Three-view Cardinality Constrained Set. | Haichuan Yang, Shupeng Gui, Chuyang Ke, Daniel Stefankovic, Ryohei Fujimaki, Ji Liu |
| 2017 | ICML | ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning. | Hantian Zhang, Jerry Li, Kaan Kara, Dan Alistarh, Ji Liu, Ce Zhang |
| 2017 | IJCAI | No Learner Left Behind: On the Complexity of Teaching Multiple Learners Simultaneously. | Xiaojin Zhu, Ji Liu, Manuel Lopes |
| 2016 | AAAI | Optimal Discrete Matrix Completion. | Zhouyuan Huo, Ji Liu, Heng Huang |
| 2016 | AAAI | Uncorrelated Group LASSO. | Deguang Kong, Ji Liu, Bo Liu, Xuan Bao |
| 2016 | AAAI | Privacy-CNH: A Framework to Detect Photo Privacy with Convolutional Neural Network using Hierarchical Features. | Lam Tran, Deguang Kong, Hongxia Jin, Ji Liu |
| 2016 | CVPR | On Benefits of Selection Diversity via Bilevel Exclusive Sparsity. | Haichuan Yang, Yijun Huang, Lam Tran, Ji Liu, Shuai Huang |
| 2016 | ICFHR | Online Handwritten Mongolian Word Recognition Using MWRCNN and Position Maps. | Ji Liu, Long-Long Ma, Jian Wu |
| 2016 | ICML | The Teaching Dimension of Linear Learners. | Ji Liu, Xiaojin Zhu, Hrag Ohannessian |
| 2016 | ICPR | A new database for online handwritten Mongolian word recognition. | Long-Long Ma, Ji Liu, Jian Wu |
| 2016 | IJCAI | Proximal Gradient Temporal Difference Learning Algorithms. | Bo Liu, Ji Liu, Mohammad Ghavamzadeh, Sridhar Mahadevan, Marek Petrik |
| 2016 | IJCAI | Staleness-Aware Async-SGD for Distributed Deep Learning. | Wei Zhang, Suyog Gupta, Xiangru Lian, Ji Liu |
| 2016 | IJCNN | A novel entropy optimized kernel least-mean mixed-norm algorithm. | Xiong Luo, Jing Deng, Ji Liu, Ayong Li, Weiping Wang, Wenbing Zhao |
| 2016 | KDD | Online Feature Selection: A Limited-Memory Substitution Algorithm and Its Asynchronous Parallel Variation. | Haichuan Yang, Ryohei Fujimaki, Yukitaka Kusumura, Ji Liu |
| 2016 | WSC | A stochastic compositional gradient method using Markov samples. | Mengdi Wang, Ji Liu |
| 2016 | UAI | Dantzig Selector with an Approximately Optimal Denoising Matrix and its Application in Sparse Reinforcement Learning. | Bo Liu, Luwan Zhang, Ji Liu |
| 2015 | CICLING | Detecting and Disambiguating Locations Mentioned in Twitter Messages. | Diana Inkpen, Ji Liu, Atefeh Farzindar, Farzaneh Kazemi, Diman Ghazi |
| 2015 | ICASSP | A parametric modeling approach for wireless capsule endoscopy hazy image restoration. | Yi Wang, Cheng Cai, Ji Liu, Yuexian Zou |
| 2015 | NAACL | Estimating User Location in Social Media with Stacked Denoising Auto-encoders. | Ji Liu, Diana Inkpen |
| 2015 | UAI | Finite-Sample Analysis of Proximal Gradient TD Algorithms. | Bo Liu, Ji Liu, Mohammad Ghavamzadeh, Sridhar Mahadevan, Marek Petrik |
| 2014 | ECCV | Spectral Clustering with a Convex Regularizer on Millions of Images. | Maxwell D. Collins, Ji Liu, Jia Xu, Lopamudra Mukherjee, Vikas Singh |
| 2014 | EuroPar | Scientific Workflow Partitioning in Multisite Cloud. | Ji Liu, Vtor Silva, Esther Pacitti, Patrick Valduriez, Marta Mattoso |
| 2014 | ICML | Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint. | Ji Liu, Jieping Ye, Ryohei Fujimaki |
| 2014 | ICML | An Asynchronous Parallel Stochastic Coordinate Descent Algorithm. | Ji Liu, Stephen J. Wright, Christopher R, Victor Bittorf, Srikrishna Sridhar |
| 2013 | ICML | Guaranteed Sparse Recovery under Linear Transformation. | Ji Liu, Lei Yuan, Jieping Ye |
| 2012 | CSCW | Dig-event: let's socialize around events. | Zhenzhen Zhao, Ji Liu, Nol Crespi |
| 2011 | CVPR | Sparse reconstruction cost for abnormal event detection. | Yang Cong, Junsong Yuan, Ji Liu |
| 2011 | IIWAS | Mashup services to daily activities: end-user perspective in designing a consumer mashups. | Zhenzhen Zhao, Sirsha Bhattarai, Ji Liu, Nol Crespi |
| 2011 | IIWAS | The design of activity-oriented social networking: Dig-Event. | Zhenzhen Zhao, Ji Liu, Nol Crespi |
| 2010 | ADMA | A Structure-Based XML Storage Method in YAFFS File System. | Ji Liu, Shuyu Chen, Haozhang Liu |
| 2010 | KDD | Learning incoherent sparse and low-rank patterns from multiple tasks. | Jianhui Chen, Ji Liu, Jieping Ye |
| 2009 | ICCV | Tensor completion for estimating missing values in visual data. | Ji Liu, Przemyslaw Musialski, Peter Wonka, Jieping Ye |
| 2008 | ICIP | Lunar terrain reconstruction using PDEs. | Ji Liu, Yang Cong, Xiaomao Li, Yuechao Wang, Yandong Tang, Chuan Zhou |
| 2007 | ICNC | Algorithm of Vein Surface of 3D Reconstruction for Ultrasonic Cervix Image. | Lingqiu Zeng, Qingsheng Zhu, Ji Liu |
| 2005 | CSCWD | Service oriented software package bank. | Yu Xiong, Ji Liu, Peter Fitzgerald, Daizhong Su |
| 2005 | ICNC | An Adaptive Hybrid Immune Genetic Algorithm for Maximum Cut Problem. | Hong Song, Dan Zhang, Ji Liu |