| 2026 | AAAI | LAMDAS: LLM as an Implicit Classifier for Domain-specific Data Selection. | Jian Wu, Hang Yu, Bingchang Liu, Wenjie Yang, Peng Di, Jianguo Li, Yue Zhang |
| 2026 | ACL | Every Token Counts: Generalizing 16M Ultra-Long Context in Large Language Models. | Xiang Hu, Zhanchao Zhou, Ruiqi Liang, Zehuan Li, Wei Wu, Jianguo Li |
| 2026 | ACL | CreditDecoding: Accelerating Parallel Decoding in Diffusion Large Language Models with Trace Credit. | Kangyu Wang, Zhiyun Jiang, Haibo Feng, Weijia Zhao, Lin Liu, Jianguo Li, Zhenzhong Lan, Weiyao Lin |
| 2026 | PPSN | A Scalable Benchmark Test Suite for Dynamic Multi-objective Optimization with a Changing Number of Objectives. | Ke Shang, Zhiyun Xiao, Yuxuan Liu, Jianguo Li, Shaojiang Wang, Wei Sun |
| 2026 | WCNC | High-Accuracy Ranging Scheme for ISAC-OFDM Systems with Adaptive Chirp-Z Transform. | Dongjian Li, Meng Wei, Jianguo Li, Xiyu Feng, Xuhui Ding, Anqi Meng |
| 2025 | ACL | GALLa: Graph Aligned Large Language Models for Improved Source Code Understanding. | Ziyin Zhang, Hang Yu, Sage Lee, Peng Di, Jianguo Li, Rui Wang |
| 2025 | EMNLP | E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning. | Zihan Liao, Jun Wang, Hang Yu, Lingxiao Wei, Jianguo Li, Jun Wang, Wei Zhang |
| 2025 | ICLR | Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions. | Zhihao He, Hang Yu, Zi Gong, Shizhan Liu, Jianguo Li, Weiyao Lin |
| 2025 | ICLR | CAKE: Cascading and Adaptive KV Cache Eviction with Layer Preferences. | Ziran Qin, Yuchen Cao, Mingbao Lin, Wen Hu, Shixuan Fan, Ke Cheng, Weiyao Lin, Jianguo Li |
| 2025 | ICSE | An Empirical Study on Commit Message Generation Using LLMs via In-Context Learning. | Yifan Wu, Yunpeng Wang, Ying Li, Wei Tao, Siyu Yu, Haowen Yang, Wei Jiang, Jianguo Li |
| 2025 | VTC | Distributed Low-Complexity 3D Cooperative Positioning using Projection FG for UAV Networks. | Zimeng Qiao, Jianxiong Pan, Jianguo Li, Yiyue Xiang, Neng Ye |
| 2025 | WWW | SCOOT: SLO-Oriented Performance Tuning for LLM Inference Engines. | Ke Cheng, Zhi Wang, Wen Hu, Tiannuo Yang, Jianguo Li, Sheng Zhang |
| 2024 | ACL | D2LLM: Decomposed and Distilled Large Language Models for Semantic Search. | Zihan Liao, Hang Yu, Jianguo Li, Jun Wang, Wei Zhang |
| 2024 | ACL | CoCA: Fusing Position Embedding with Collinear Constrained Attention in Transformers for Long Context Window Extending. | Shiyi Zhu, Jing Ye, Wei Jiang, Siqiao Xue, Qi Zhang, Yifan Wu, Jianguo Li |
| 2024 | ECCV | MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment. | Kanglei Zhou, Liyuan Wang, Xingxing Zhang, Hubert P. H. Shum, Frederick W. B. Li, Jianguo Li, Xiaohui Liang |
| 2024 | EMNLP | CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models. | Zi Gong, Hang Yu, Cong Liao, Bingchang Liu, Chaoyu Chen, Jianguo Li |
| 2024 | GLOBECOM | Hypersphere-shaped Signaling Achieves Optimal Anti-detectability under Payload Power Constraints. | Bichen Kang, Neng Ye, Bin Qi, Jianguo Li |
| 2024 | ICDE | VDTuner: Automated Performance Tuning for Vector Data Management Systems. | Tiannuo Yang, Wen Hu, Wangqi Peng, Yusen Li, Jianguo Li, Gang Wang, Xiaoguang Liu |
| 2024 | ICLR | AmortizedPeriod: Attention-based Amortized Inference for Periodicity Identification. | Hang Yu, Cong Liao, Ruolan Liu, Jianguo Li, Yun Hu, Xinzhe Wang |
| 2024 | ICLR | Finite-State Autoregressive Entropy Coding for Efficient Learned Lossless Compression. | Yufeng Zhang, Hang Yu, Jianguo Li, Weiyao Lin |
| 2024 | ICML | DUPLEX: Dual GAT for Complex Embedding of Directed Graphs. | Zhaoru Ke, Hang Yu, Jianguo Li, Haipeng Zhang |
| 2024 | ICSE | CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model. | Peng Di, Jianguo Li, Hang Yu, Wei Jiang, Wenting Cai, Yang Cao, Chaoyu Chen, Dajun Chen, Hongwei Chen, Liang Chen, Gang Fan, Jie Gong, Zi Gong, Wen Hu, Tingting Guo, Zhichao Lei, Ting Li, Zheng Li, Ming Liang, Cong Liao, Bingchang Liu, Jiachen Liu, Zhiwei Liu, Shaojun Lu, Min Shen, Guangpei Wang, Huan Wang, Zhi Wang, Zhaogui Xu, Jiawei Yang, Qing Ye, Gehao Zhang, Yu Zhang, Zelin Zhao, Xunjin Zheng, Hailian Zhou, Lifu Zhu, Xianying Zhu |
| 2024 | ICWS | Enabling Efficient Batch Serving for LMaaS via Generation Length Prediction. | Ke Cheng, Wen Hu, Zhi Wang, Peng Du, Jianguo Li, Sheng Zhang |
| 2024 | KDD | MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning. | Bingchang Liu, Chaoyu Chen, Zi Gong, Cong Liao, Huan Wang, Zhichao Lei, Ming Liang, Dajun Chen, Min Shen, Hailian Zhou, Wei Jiang, Hang Yu, Jianguo Li |
| 2023 | ACL | ZeroAE: Pre-trained Language Model based Autoencoder for Transductive Zero-shot Text Classification. | Kaihao Guo, Hang Yu, Cong Liao, Jianguo Li, Haipeng Zhang |
| 2023 | ICSE | An Empirical Study on Change-induced Incidents of Online Service Systems. | Yifan Wu, Bingxu Chai, Ying Li, Bingchang Liu, Jianguo Li, Yong Yang, Wei Jiang |
| 2023 | IECON | Identification Method of Control Parameters for Wind Power Grid-Connected Converter Based on Optimization Algorithm. | Lin Li, Jianguo Li, Li Zhang |
| 2022 | CLOUD | DeepScaling: microservices autoscaling for stable CPU utilization in large scale cloud systems. | Ziliang Wang, Shiyi Zhu, Jianguo Li, Wei Jiang, K. K. Ramakrishnan, Yangfei Zheng, Meng Yan, Xiaohong Zhang, Alex X. Liu |
| 2022 | ICLR | Pyraformer: Low-Complexity Pyramidal Attention for Long-Range Time Series Modeling and Forecasting. | Shizhan Liu, Hang Yu, Cong Liao, Jianguo Li, Weiyao Lin, Alex X. Liu, Schahram Dustdar |
| 2022 | IJCAI | Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting. | Hongyuan Yu, Ting Li, Weichen Yu, Jianguo Li, Yan Huang, Liang Wang, Alex X. Liu |
| 2022 | KDD | A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud. | Siqiao Xue, Chao Qu, Xiaoming Shi, Cong Liao, Shiyi Zhu, Xiaoyu Tan, Lintao Ma, Shiyu Wang, Shijun Wang, Yun Hu, Lei Lei, Yangfei Zheng, Jianguo Li, James Zhang |
| 2021 | CSCWD | Semi-automatic Scholar Encyclopedia Generating System Based on Scholar Social Network. | Chao Chang, Qiang Xu, Yaoxing Wu, Jianguo Li, Jia Zhu, Yong Tang |
| 2021 | CVPR | Variational Pedestrian Detection. | Yuang Zhang, Huanyu He, Jianguo Li, Yuxi Li, John See, Weiyao Lin |
| 2020 | CVPR | Few Sample Knowledge Distillation for Efficient Network Compression. | Tianhong Li, Jianguo Li, Zhuang Liu, Changshui Zhang |
| 2020 | IWCMC | Digital-Analog Hybrid Equalization of Broadband Signals Based on Equivalent Time Sampling. | Xuhui Ding, Yongfeng Ma, Jiwen Wang, Wei Wang, Jianguo Li, Xiangming Li |
| 2020 | IWCMC | A Pre-restructured Learning-ISTA Deep Network for Millimeter Wave Antenna Array Diagnosis. | Wei Wang, Yongfeng Ma, Siqi Ma, Jianguo Li, Xiangming Li |
| 2019 | AAAI | Composite Binary Decomposition Networks. | You Qiaoben, Zheng Wang, Jianguo Li, Yinpeng Dong, Yu-Gang Jiang, Jun Zhu |
| 2019 | CVPR | Towards Accurate One-Stage Object Detection With AP-Loss. | Kean Chen, Jianguo Li, Weiyao Lin, John See, Ji Wang, Lingyu Duan, Zhibo Chen, Changwei He, Junni Zou |
| 2018 | BMVC | Network Decoupling: From Regular to Depthwise Separable Convolutions. | Jianbo Guo, Yuxi Li, Weiyao Lin, Yurong Chen, Jianguo Li |
| 2018 | BMVC | Tiny-DSOD: Lightweight Object Detection for Resource-Restricted Usages. | Yuxi Li, Jiuwei Li, Weiyao Lin, Jianguo Li |
| 2018 | CVPR | Boosting Adversarial Attacks With Momentum. | Yinpeng Dong, Fangzhou Liao, Tianyu Pang, Hang Su, Jun Zhu, Xiaolin Hu, Jianguo Li |
| 2018 | CVPR | Learning Visual Knowledge Memory Networks for Visual Question Answering. | Zhou Su, Chen Zhu, Yinpeng Dong, Dongqi Cai, Yurong Chen, Jianguo Li |
| 2017 | BMVC | Learning Accurate Low-Bit Deep Neural Networks with Stochastic Quantization. | Yinpeng Dong, Jianguo Li, Renkun Ni |
| 2017 | CVPR | Weakly Supervised Dense Video Captioning. | Zhiqiang Shen, Jianguo Li, Zhou Su, Minjun Li, Yurong Chen, Yu-Gang Jiang, Xiangyang Xue |
| 2017 | FUSION | Fusion of visual and inertial measurement information for unmanned aerial vehicles autonomous navigation in unknown environment. | Jianguo Li, Qiang Liu, Qiubing Liu, Pengjiao Zhao |
| 2017 | ICCV | Learning Efficient Convolutional Networks through Network Slimming. | Zhuang Liu, Jianguo Li, Zhiqiang Shen, Gao Huang, Shoumeng Yan, Changshui Zhang |
| 2017 | ICCV | DSOD: Learning Deeply Supervised Object Detectors from Scratch. | Zhiqiang Shen, Zhuang Liu, Jianguo Li, Yu-Gang Jiang, Yurong Chen, Xiangyang Xue |
| 2017 | ICCV | BodyFusion: Real-Time Capture of Human Motion and Surface Geometry Using a Single Depth Camera. | Tao Yu, Kaiwen Guo, Feng Xu, Yuan Dong, Zhaoqi Su, Jianhui Zhao, Jianguo Li, Qionghai Dai, Yebin Liu |
| 2016 | ADC | A Classifier Hub for Imbalanced Financial Data. | Chirath Abeysinghe, Jianguo Li, Jing He |
| 2016 | BMVC | Regional Gating Neural Networks for Multi-label Image Classification. | Rui-Wei Zhao, Jianguo Li, Yurong Chen, Jia-Ming Liu, Yu-Gang Jiang, Xiangyang Xue |
| 2015 | IJCAI | Optimal Bayesian Hashing for Efficient Face Recognition. | Qi Dai, Jianguo Li, Jun Wang, Yurong Chen, Yu-Gang Jiang |
| 2014 | CSCWD | Link prediction based on time-varied weight in co-authorship network. | Shiping Huang, Yong Tang, Feiyi Tang, Jianguo Li |
| 2013 | CVPR | Learning SURF Cascade for Fast and Accurate Object Detection. | Jianguo Li, Yimin Zhang |
| 2013 | Mobisys | NuActiv: recognizing unseen new activities using semantic attribute-based learning. | Heng-Tze Cheng, Feng-Tso Sun, Martin L. Griss, Paul Davis, Jianguo Li, Di You |
| 2013 | WISE | Community-Based Scholar Recommendation Modeling in Academic Social Network Sites. | Jiemin Chen, Yong Tang, Jianguo Li, Chengjie Mao, Jing Xiao |
| 2012 | CSCWD | The structure analysis of the CSCWD conference's collaboration network. | Daoshu Li, Jianguo Li, Yong Tang, Jinjia Zheng, Jiemin Chen |
| 2012 | CSCWD | The similar scholar recommendation in Schol@t. | Atiao Yang, Jianguo Li, Yong Tang, Jiangbin Wang, Yuan Zhao |
| 2012 | CVPR | SURF cascade face detection acceleration on Sandy Bridge processor. | Eric Li, Liu Yang, Bin Wang, Jianguo Li, Ya-ti Peng |
| 2011 | ICIP | Fast facial landmark detection using cascade classifiers and a simple 3D model. | Ang Liu, Yangzhou Du, Tao Wang, Jianguo Li, Eric Q. Li, Yimin Zhang, Yong Zhao |
| 2010 | CVPR | Bundled depth-map merging for multi-view stereo. | Jianguo Li, Eric Q. Li, Yurong Chen, Lin Xu, Yimin Zhang |
| 2010 | ICIP | A general texture mapping framework for image-based 3D modeling. | Lin Xu, Eric Q. Li, Jianguo Li, Yurong Chen, Yimin Zhang |
| 2009 | CSCWD | The role research in group awareness model. | Jianguo Li, Yong Tang, Gaofeng Ji, Jun Zhu |
| 2009 | CSCWD | A role hierarchical group awareness model and its time possibility analysis based fuzzy time. | Jun Zhu, Yong Tang, Jianguo Li, Hai Liu |
| 2008 | ACL | Which Are the Best Features for Automatic Verb Classification. | Jianguo Li, Chris Brew |
| 2008 | CVPR | One step beyond histograms: Image representation using Markov stationary features. | Jianguo Li, Weixin Wu, Tao Wang, Yimin Zhang |
| 2008 | ICASSP | Novel parallel Hough Transform on multi-core processors. | Yen-Kuang Chen, Wenlong Li, Jianguo Li, Tao Wang |
| 2008 | ICASSP | Realtime detection of salient moving object: A multi-core solution. | Patricia P. Wang, Wei Zhang, Jianguo Li, Yimin Zhang |
| 2008 | ICIP | Markov chain local binary pattern and its application to video concept detection. | Weixin Wu, Jianguo Li, Tao Wang, Yimin Zhang |
| 2008 | MMSP | Online photography assistance by exploring geo-referenced photos on MID / UMPC. | Patricia P. Wang, Wei Zhang, Jianguo Li, Yimin Zhang |
| 2007 | CVPR | Discriminant Additive Tangent Spaces for Object Recognition. | Liang Xiong, Jianguo Li, Changshui Zhang |
| 2007 | ICIP | Face Recognition using Feature of Integral Gabor-Haar Transformation. | Jianguo Li, Tao Wang, Yimin Zhang |
| 2007 | ICIP | Information-Theoretic Content Selection for Automated Home Video Editing. | Patricia P. Wang, Tao Wang, Jianguo Li, Yimin Zhang |
| 2007 | ICPP | Parallelization and Performance Analysis of Video Feature Extractions on Multi-Core Based Systems. | Qi Zhang, Yurong Chen, Jianguo Li, Yimin Zhang, Yinlong Xu |
| 2007 | IJCAI | Generalized Additive Bayesian Network Classifiers. | Jianguo Li, Changshui Zhang, Tao Wang, Yimin Zhang |
| 2007 | MMM | Event Detection Models Using 2d-BN and CRFs. | Tao Wang, Jianguo Li, Wei Hu, Xiaofeng Tong, Yimin Zhang, Carole Dulong |
| 2006 | ACL | Parsing and Subcategorization Data. | Jianguo Li |
| 2006 | ACL | Parsing and Subcategorization Data. | Jianguo Li, Chris Brew |
| 2006 | CVPR | Semantic Event Detection using Conditional Random Fields. | Tao Wang, Jianguo Li, Qian Diao, Wei Hu, Yimin Zhang, Carole Dulong |
| 2001 | ICALT | The Tuneup and Integration of Resources in Web-Based Learning. | Xiao Li, Jianguo Li, Xiaozhen Zhang |