| 2026 | AAAI | TW-CRL: Time-Weighted Contrastive Reward Learning for Efficient Inverse Reinforcement Learning. | Yuxuan Li, Yicheng Gao, Ning Yang, Stephen Xia |
| 2026 | AAAI | CrossCheck-Bench: Diagnosing Compositional Failures in Multimodal Conflict Resolution. | Baoliang Tian, Yuxuan Si, Jilong Wang, Lingyao Li, Zhongyuan Bao, Zineng Zhou, Tao Wang, Sixu Li, Ziyao Xu, Mingze Wang, Zhouzhuo Zhang, Zhihao Wang, Yike Yun, Ke Tian, Ning Yang, Minghui Qiu |
| 2026 | AAAI | Proactive Constrained Policy Optimization with Preemptive Penalty. | Ning Yang, Pengyu Wang, Guoqing Liu, Haifeng Zhang, Pin Lyu, Jun Wang |
| 2026 | ACL | Chain-of-Thought Compression Should Not Be Blind: V-Skip for Efficient Multimodal Reasoning via Dual-Path Anchoring. | Dongxu Zhang, Yiding Sun, Cheng Tan, Wenbiao Yan, Ning Yang, Jihua Zhu, Haijun Zhang |
| 2026 | ASPLOS | EARTH: An Efficient MoE Accelerator with Entropy-Aware Speculative Prefetch and Result Reuse. | Fangxin Liu, Ning Yang, Jingkui Yang, Zongwu Wang, Chenyang Guan, Yu Feng, Li Jiang, Haibing Guan |
| 2026 | ISCA | STEP: Adaptive Spatio-Temporal Expert Prefetching for Low-Latency and Memory-Efficient MoE Inference. | Fangxin Liu, Ning Yang, Zongwu Wang, Chenyang Guan, Haomin Li, Yu Feng, Liqiang Lu, Xiang Li, Siran Yang, Jiamang Wang, Lin Qu, Li Jiang, Haibing Guan |
| 2026 | ISCA | Harmonia: A Unified Hierarchical Scheduling Framework for Sparse Matrix Multiplication. | Jingkui Yang, Fangxin Liu, Xin Ju, Ning Yang, Chenyang Guan, Junjie Wang, Zongwu Wang, Mei Wen, Jian Liu, Li Jiang, Haibing Guan |
| 2025 | ACL | Tree-of-Code: A Self-Growing Tree Framework for End-to-End Code Generation and Execution in Complex Tasks. | Ziyi Ni, Yifan Li, Ning Yang, Dou Shen, Pin Lyu, Daxiang Dong |
| 2025 | ASPDAC | NeuronQuant: Accurate and Efficient Post-Training Quantization for Spiking Neural Networks. | Haomin Li, Fangxin Liu, Zewen Sun, Zongwu Wang, Shiyuan Huang, Ning Yang, Li Jiang |
| 2025 | CHI | Building a Japanese Tourism Ephemera Archive: Case Studies, Metadata Design, and Prototype Development. | Xinru Zhu, Ayumi Katsuki, Kashin Sugishita, Ning Yang, Tomokazu Takada |
| 2025 | COLING | MuKA: Multimodal Knowledge Augmented Visual Information-Seeking. | Lianghao Deng, Yuchong Sun, Shizhe Chen, Ning Yang, Yunfeng Wang, Ruihua Song |
| 2025 | CVPR | Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data. | Lilin Zhang, Chengpei Wu, Ning Yang |
| 2025 | DAC | BLOOM: Bit-Slice Framework for DNN Acceleration with Mixed-Precision. | Fangxin Liu, Ning Yang, Zongwu Wang, Xuanpeng Zhu, Haidong Yao, Xiankui Xiong, Li Jiang, Haibing Guan |
| 2025 | DAC | PISA: Efficient Precision-Slice Framework for LLMs with Adaptive Numerical Type. | Ning Yang, Zongwu Wang, Qingxiao Sun, Liqiang Lu, Fangxin Liu |
| 2025 | DATE | TAIL: Exploiting Temporal Asynchronous Execution for Efficient Spiking Neural Networks with Inter-Layer Parallelism. | Haomin Li, Fangxin Liu, Zongwu Wang, Dongxu Lyu, Shiyuan Huang, Ning Yang, Qi Sun, Zhuoran Song, Li Jiang |
| 2025 | DATE | OPS: Outlier-Aware Precision-Slice Framework for LLM Acceleration. | Fangxin Liu, Ning Yang, Zongwu Wang, Xuanpeng Zhu, Haidong Yao, Xiankui Xiong, Qi Sun, Li Jiang |
| 2025 | HPCA | CROSS: Compiler-Driven Optimization of Sparse DNNs Using Sparse/Dense Computation Kernels. | Fangxin Liu, Shiyuan Huang, Ning Yang, Zongwu Wang, Haomin Li, Li Jiang |
| 2025 | IJCAI | Negative Metric Learning for Graphs. | Yiyang Zhao, Chengpei Wu, Lilin Zhang, Ning Yang |
| 2025 | ICRA | Learn to Swim: Data-Driven LSTM Hydrodynamic Model for Quadruped Robot Gait Optimization. | Fei Han, Pengming Guo, Hao Chen, Weikun Li, Jingbo Ren, Naijun Liu, Ning Yang, Dixia Fan |
| 2025 | ISCA | FATE: Boosting the Performance of Hyper-Dimensional Computing Intelligence with Flexible Numerical DAta TypE. | Haomin Li, Fangxin Liu, Yichi Chen, Zongwu Wang, Shiyuan Huang, Ning Yang, Dongxu Lyu, Li Jiang |
| 2024 | ASPDAC | PAAP-HD: PIM-Assisted Approximation for Efficient Hyper-Dimensional Computing. | Fangxin Liu, Haomin Li, Ning Yang, Yichi Chen, Zongwu Wang, Tao Yang, Li Jiang |
| 2024 | ASPDAC | TEAS: Exploiting Spiking Activity for Temporal-wise Adaptive Spiking Neural Networks. | Fangxin Liu, Haomin Li, Ning Yang, Zongwu Wang, Tao Yang, Li Jiang |
| 2024 | CEC | A Bilevel Evolutionary Algorithm Based on Upper-Level-Driven Lower-Level Search. | Ning Yang, Hai-Lin Liu, Lei Chen, Yuping Wang, Yiu-ming Cheung |
| 2024 | COMPSAC | Large Language Model Integrated Healthcare Cyber-Physical Systems Architecture. | Malithi Wanniarachchi Kankanamge, Syed Mhamudul Hasan, Abdur Rahman Bin Shahid, Ning Yang |
| 2024 | DAC | INSPIRE: Accelerating Deep Neural Networks via Hardware-friendly Index-Pair Encoding. | Fangxin Liu, Ning Yang, Zhiyan Song, Zongwu Wang, Haomin Li, Shiyuan Huang, Zhuoran Song, Songwen Pei, Li Jiang |
| 2024 | DAC | EOS: An Energy-Oriented Attack Framework for Spiking Neural Networks. | Ning Yang, Fangxin Liu, Zongwu Wang, Haomin Li, Zhuoran Song, Songwen Pei, Li Jiang |
| 2024 | DASFAA | Cross-Domain Causal Preference Learning for Out-of-Distribution Recommendation. | Zhuhang Li, Ning Yang |
| 2024 | GLOBECOM | Maximum Distance Separable (MDS) Code Aided GSM-MIMO: Design and Optimization. | Ning Yang, Ping Yang, Yiqian Huang, Jiaqi Liu, Tony Q. S. Quek, Bo Zhang |
| 2024 | HPCA | SPARK: Scalable and Precision-Aware Acceleration of Neural Networks via Efficient Encoding. | Fangxin Liu, Ning Yang, Haomin Li, Zongwu Wang, Zhuoran Song, Songwen Pei, Li Jiang |
| 2024 | ICCD | HOLES: Boosting Large Language Models Efficiency with Hardware-Friendly Lossless Encoding. | Fangxin Liu, Ning Yang, Zhiyan Song, Zongwu Wang, Li Jiang |
| 2024 | ICCD | T-BUS: Taming Bipartite Unstructured Sparsity for Energy-Efficient DNN Acceleration. | Ning Yang, Fangxin Liu, Zongwu Wang, Zhiyan Song, Tao Yang, Li Jiang |
| 2024 | ICML | Token-level Direct Preference Optimization. | Yongcheng Zeng, Guoqing Liu, Weiyu Ma, Ning Yang, Haifeng Zhang, Jun Wang |
| 2024 | ICMLA | Intelligent Fall Detection and Emergency Response for Smart Homes Using Language Models. | W. K. Malithi Mithsara, Abdur Rahman Bin Shahid, Ning Yang |
| 2024 | ICMLA | Zero-Shot Detection and Sanitization of Data Poisoning Attacks in Wearable AI Using Large Language Models. | W. K. Malithi Mithsara, Abdur Rahman Bin Shahid, Ning Yang |
| 2024 | MICRO | COMPASS: SRAM-Based Computing-in-Memory SNN Accelerator with Adaptive Spike Speculation. | Zongwu Wang, Fangxin Liu, Ning Yang, Shiyuan Huang, Haomin Li, Li Jiang |
| 2024 | RecSys | Improving Adversarial Robustness for Recommendation Model via Cross-Domain Distributional Adversarial Training. | Jingyu Chen, Lilin Zhang, Ning Yang |
| 2024 | SIGIR | Adaptive Fair Representation Learning for Personalized Fairness in Recommendations via Information Alignment. | Xinyu Zhu, Lilin Zhang, Ning Yang |
| 2023 | ICASSP | Robust Log-Based Anomaly Detection with Hierarchical Contrastive Learning. | Yuhui Zhao, Ruichun Yang, Ning Yang, Tao Lin, Qiuai Fu, Yuchi Ma |
| 2023 | ICCD | PSQ: An Automatic Search Framework for Data-Free Quantization on PIM-based Architecture. | Fangxin Liu, Ning Yang, Li Jiang |
| 2023 | IJCNN | An Anchor-Semantics-Aware Neural Preference Propagation Model for Session-based Recommendation. | Yaxuan Ye, Ning Yang |
| 2023 | WWW | Contrastive Collaborative Filtering for Cold-Start Item Recommendation. | Zhihui Zhou, Lilin Zhang, Ning Yang |
| 2023 | WiOpt | Minimizing Age of Information for Mobile Edge Computing Systems: A Nested Index Approach. | Shuo Chen, Ning Yang, Meng Zhang, Jun Wang |
| 2023 | WiOpt | Multi-objective Deep Reinforcement Learning for Mobile Edge Computing. | Ning Yang, Junrui Wen, Meng Zhang, Ming Tang |
| 2022 | CIKM | Time Lag Aware Sequential Recommendation. | Lihua Chen, Ning Yang, Philip S. Yu |
| 2022 | CIKM | Two-Level Graph Path Reasoning for Conversational Recommendation with User Realistic Preference. | Rongmei Zhao, Shenggen Ju, Jian Peng, Ning Yang, Fanli Yan, Siyu Sun |
| 2022 | WSDM | Multi-Sparse-Domain Collaborative Recommendation via Enhanced Comprehensive Aspect Preference Learning. | Xiaoyun Zhao, Ning Yang, Philip S. Yu |
| 2021 | GLOBECOM | Joint Caching and Transmission in the Mobile Edge Network: An Multi-Agent Learning Approach. | Qirui Mi, Ning Yang, Haifeng Zhang, Haijun Zhang, Jun Wang |
| 2021 | IJCNN | Multi-Actor-Attention-Critic Reinforcement Learning for Central Place Foraging Swarms. | Ning Yang, Qi Lu, Kele Xu, Bo Ding, Zijian Gao |
| 2021 | ICRA | Drumming Arm: an Upper-limb Prosthetic System to Restore Grip Control for a Transradial Amputee Drummer. | Ning Yang, Ruizhi Sha, Raghavasimhan Sankaranarayanan, Qianyi Sun, Gil Weinberg |
| 2020 | AAAI | Gait Recognition for Co-Existing Multiple People Using Millimeter Wave Sensing. | Zhen Meng, Song Fu, Jie Yan, Hongyuan Liang, Anfu Zhou, Shilin Zhu, Huadong Ma, Jianhua Liu, Ning Yang |
| 2020 | GLOBECOM | Partially Observable Multi-Agent Deep Reinforcement Learning for Cognitive Resource Management. | Ning Yang, Haijun Zhang, Randall Berry |
| 2020 | GPC | Long-Range Gesture Recognition Using Millimeter Wave Radar. | Yu Liu, Yuheng Wang, Haipeng Liu, Anfu Zhou, Jianhua Liu, Ning Yang |
| 2019 | APWEB | Unified Group Recommendation Towards Multiple Criteria. | Yi Wu, Ning Yang, Huanrui Luo |
| 2019 | APWEB | How to Reach: Discovering Multi-resolution Paths on Large Scale Networks. | Zhaokun Zhang, Ning Yang, Philip S. Yu |
| 2019 | CSCWD | A Multi-Featured Analysis for Body Sensor Networks-based Affective Actions Recognition. | Zhelong Wang, Ning Yang, Hongyu Zhao, Xin Shi, Sen Qiu, Zhengyu Wang |
| 2019 | GLOBECOM | Destination Driven Computation Offloading in Internet of Things. | Yunkai Wei, Jie Zhang, Ning Yang, Supeng Leng |
| 2019 | ICIS | The Application of Operant Conditioning Theory in Employees' IS Security Behavioral Management. | Ning Yang, Allen C. Johnston |
| 2019 | LANMAN | H2NDN: Supporting Connected Vehicle Applications with Hierarchical Hyperbolic NDN. | Ning Yang, Kang Chen, Yaoqing Liu |
| 2018 | APWEB | Text Classification Methods Based on SVD and FCM. | Ning Yang, Shuaibing Li, Rong Sun, Yi Yang |
| 2018 | ICWS | Microservice Based Video Cloud Platform with Performance-Aware Service Path Selection. | Haitao Zhang, Ning Yang, Zhengjun Xu, Bingchang Tang, Huadong Ma |
| 2018 | VTC | Energy Efficient Resource Allocation for Secure NOMA Networks. | Haijun Zhang, Ning Yang, Keping Long, Miao Pan, George K. Karagiannidis, Arumugam Nallanathan |
| 2017 | IC3K | Mining Hot Research Topics based on Complex Network Analysis - A Case Study on Regenerative Medicine. | Rong-Qiang Zeng, Hongshen Pang, Xiao-Chu Qin, Yi-Bing Song, Yi Wen, Zheng-Yin Hu, Ning Yang, Hong-Mei Guo, Qian Li |
| 2017 | ICDM | Collaborative Inference of Coexisting Information Diffusions. | Yanchao Sun, Cong Qian, Ning Yang, Philip S. Yu |
| 2017 | PIMRC | Energy-saving traffic scheduling in hybrid software defined rechargeable WSNs. | Xiaohui Ma, Yunkai Wei, Ning Yang |
| 2016 | CIKM | Efficient Hidden Trajectory Reconstruction from Sparse Data. | Ning Yang, Philip S. Yu |
| 2016 | SMC | CanoeSense: Monitoring canoe sprint motion using wearable sensors. | Zhelong Wang, Jiaxin Wang, Hongyu Zhao, Ning Yang, Giancarlo Fortino |
| 2015 | CIS | Memory Based Differential Evolution Algorithms for Dynamic Constrained Optimization Problems. | Chenggang Cui, Feng Tian, Ning Yang, Junfeng Chen |
| 2015 | SDM | Predicting Neighbor Distribution in Heterogeneous Information Networks. | Yuchi Ma, Ning Yang, Chuan Li, Lei Zhang, Philip S. Yu |
| 2014 | ICMV | Error analysis of rigid body posture measurement system based on circular feature points. | Ju Huo, Jishan Cui, Ning Yang |
| 2014 | SDM | When and Where: Predicting Human Movements Based on Social Spatial-Temporal Events. | Ning Yang, Xiangnan Kong, Fengjiao Wang, Philip S. Yu |
| 2012 | ICNC | A non-contact health monitoring model based on the Internet of things. | Ning Yang, Xingli Zhao, Hong Zhang |
| 2011 | PIMRC | Doppler spread analysis of human motions for Body Area Network applications. | Ruijun Fu, Yunxing Ye, Ning Yang, Kaveh Pahlavan |
| 2010 | APWEB | MMIR: Mining Multi-scale Intervention Rules in Sub-Complex System. | Jiaoling Zheng, Changjie Tang, Shaojie Qiao, Ning Yang, Yue Wang, Yu Chen, Jun Zhu |
| 2009 | ADMA | Asymmetric Feature Selection for BGP Abnormal Events Detection. | Yuhai Liu, Lin-Tao Ma, Ning Yang, Ying He |
| 2009 | SNPD | Evolutionary Algorithms for Optimization of Tobacco Leaf Groups Blending. | Peiyong Xia, Xiangqian Ding, Ning Yang |
| 2008 | ICNC | Computer Aided Blend Design: Concept, Framework and Key Technologies. | Ning Yang, Xiangqian Ding, Ying He, Tian-Jin Feng, Zhimin Liu |
| 2007 | CISS | A New Full Rate Full Diversity Orthogonal Space-Time Block Code for Three Transmit Antennas. | Ning Yang, Masoud Salehi |
| 2007 | ICNC | An Angle-Based Crossover Tabu Search for the Traveling Salesman Problem. | Ning Yang, Ping Li, Baisha Mei |
| 2007 | VTC | An Orthogonal Full Rate Full Diversity Space Time Block Code for Four Transmit Antenna Systems. | Ning Yang, Masoud Salehi |
| 2006 | MASCOTS | An Architecture for Distributed Real-Time Passive Network Measurement. | Tilman Wolf, Ramaswamy Ramaswamy, Siddhartha Bung, Ning Yang |
| 2006 | VTC | A New Full Rate Space Time Block Code for Three Transmit Antenna Systems. | Ning Yang, Masoud Salehi |
| 2005 | WiMob | Effects of cross-layer processing on wireless ad hoc network performance. | Ning Yang, Ravi Sankar |
| 2004 | CSCWD | Vega Information Grid for Collaborative Computing. | Zhiwei Xu, Ning Yang, Huaming Liao |
| 1999 | WCNC | The third generation wireless network using CDMA air interface. | Ning Yang |
| 1994 | VTC | A multistage RAKE receiver for improved capacity of CDMA systems. | Stavros Striglis, Ashish Kaul, Ning Yang, Brian D. Woerner |