| 2026 | AAAI | Large Language Model Unlearning for Source Code. | Xue Jiang, Yihong Dong, Huangzhao Zhang, Tangxinyu Wang, Zheng Fang, Yingwei Ma, Rongyu Cao, Binhua Li, Zhi Jin, Wenpin Jiao, Yongbin Li, Ge Li |
| 2026 | AAAI | Video Spatial Reasoning with Object-Centric 3D Rollout. | Haoran Tang, Meng Cao, Ruyang Liu, Xiaoxi Liang, Linglong Li, Ge Li, Xiaodan Liang |
| 2026 | AAAI | DAVSP: Safety Alignment for Large Vision-Language Models via Deep Aligned Visual Safety Prompt. | Yitong Zhang, Jia Li, Liyi Cai, Ge Li |
| 2026 | ACL | RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization. | Yihong Dong, Xue Jiang, Yongding Tao, Huanyu Liu, Kechi Zhang, Lili Mou, Rongyu Cao, Yingwei Ma, Jue Chen, Binhua Li, Zhi Jin, Fei Huang, Yongbin Li, Ge Li |
| 2026 | ACL | Saber: Efficient Sampling with Adaptive Acceleration and Backtracking Enhanced Remasking for Diffusion Language Model in Code Generation. | Yihong Dong, Zhaoyu Ma, Xue Jiang, Zhiyuan Fan, Jiaru Qian, Yongmin Li, Jianha Xiao, Zhi Jin, Ge Li |
| 2026 | ACL | IntentCoding: Amplifying User Intent in Code Generation. | Zheng Fang, Yihong Dong, Lili Mou, Dongming Jin, Zhi Jin, Ge Li |
| 2026 | ACL | CODERL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment. | Xue Jiang, Yihong Dong, Mengyang Liu, Hongyi Deng, Tian Wang, Yongding Tao, Zhi Jin, Wenpin Jiao, Ge Li |
| 2026 | ACL | KoCo-Bench: Can Large Language Models Leverage Domain Knowledge in Software Development? | Xue Jiang, Ge Li, Jiaru Qian, Xianjie Shi, Chenjie Li, Hao Zhu, Ziyu Wang, Jielun Zhang, Zeyu Zhao, Kechi Zhang, Jia Li, Wenpin Jiao, Zhi Jin, Yihong Dong |
| 2026 | ACL | VideoCuRL: Video Curriculum Reinforcement Learning with Orthogonal Difficulty Decomposition. | Hongbo Jin, Kuanwei Lin, Wenhao Zhang, Yichen Jin, Ge Li |
| 2026 | ACL | EvoCoT: Overcoming the Exploration Bottleneck in Reinforcement Learning for LLMs. | Huanyu Liu, Jia Li, Yihong Dong, Chang Yu, Taozhi Chen, Lecheng Wang, Yongding Tao, Bin Gu, Ge Li |
| 2026 | ACL | VulAgent: Hypothesis-Validation Driven Multi-Agent Architecture for Vulnerability Detection. | Ziliang Wang, Ge Li, Jia Li, Hao Zhu, Zhi Jin |
| 2026 | DCC | HMD-PCGC: Efficient Point Cloud Geometry Compression with Hybrid Mamba-Diffusion Models. | Haiyan Guo, Lixuan Meng, Yuxin Zhan, Wei Gao, Ge Li |
| 2026 | DCC | Generalizable Geometry Restoration for Compressed Point Clouds Using a Single Model. | Lixuan Meng, Qiang Xu, Haiyan Guo, Wei Gao, Ge Li |
| 2025 | AAAI | ContextHOI: Spatial Context Learning for Human-Object Interaction Detection. | Mingda Jia, Liming Zhao, Ge Li, Yun Zheng |
| 2025 | AAAI | Orchestrating the Symphony of Prompt Distribution Learning for Human-Object Interaction Detection. | Mingda Jia, Liming Zhao, Ge Li, Yun Zheng |
| 2025 | AAAI | Point Cloud Semantic Segmentation with Sparse and Inhomogeneous Annotations. | Zhiyi Pan, Nan Zhang, Wei Gao, Shan Liu, Ge Li |
| 2025 | AAAI | MUSE: Mamba Is Efficient Multi-scale Learner for Text-video Retrieval. | Haoran Tang, Meng Cao, Jinfa Huang, Ruyang Liu, Peng Jin, Ge Li, Xiaodan Liang |
| 2025 | ACL | Rethinking Repetition Problems of LLMs in Code Generation. | Yihong Dong, Yuchen Liu, Xue Jiang, Bin Gu, Zhi Jin, Ge Li |
| 2025 | ACL | Benchmarking Long-Context Language Models on Long Code Understanding. | Jia Li, Xuyuan Guo, Lei Li, Kechi Zhang, Ge Li, Jia Li, Zhengwei Tao, Fang Liu, Chongyang Tao, Yuqi Zhu, Zhi Jin |
| 2025 | ACL | LLM-Powered Test Case Generation for Detecting Bugs in Plausible Programs. | Kaibo Liu, Zhenpeng Chen, Yiyang Liu, Jie M. Zhang, Mark Harman, Yudong Han, Yun Ma, Yihong Dong, Ge Li, Gang Huang |
| 2025 | ACL | CodeDPO: Aligning Code Models with Self Generated and Verified Source Code. | Kechi Zhang, Ge Li, Yihong Dong, Jingjing Xu, Jun Zhang, Jing Su, Yongfei Liu, Zhi Jin |
| 2025 | ACL | Focused-DPO: Enhancing Code Generation Through Focused Preference Optimization on Error-Prone Points. | Kechi Zhang, Ge Li, Jia Li, Yihong Dong, Jia Li, Zhi Jin |
| 2025 | DCC | Hierarchical Attention Networks for Lossless Point Cloud Attribute Compression. | Yueru Chen, Wei Zhang, Dingquan Li, Jing Wang, Ge Li |
| 2025 | DCC | PCGCD: Joint Point Cloud Geometry Compression and Denoising. | Lixuan Meng, Ronghuang Ou, Qi Zhang, Shan Liu, Ge Li |
| 2025 | DCC | Rate-Distortion Optimized Motion Estimation for Dynamic Point Cloud Geometry Compression. | Qi Zhang, Yiting Shao, Lixuan Meng, Hailong Jiao, Shan Liu, Ge Li |
| 2025 | ICASSP | Multi-Descriptor Mesh Animation Compression. | Tai Qin, Chunyang Fu, Ge Li, Shan Liu |
| 2025 | ICASSP | Learning Semantic Facial Descriptors for Accurate Face Animation. | Lei Zhu, Yuanqi Chen, Xiaohang Liu, Thomas H. Li, Ge Li |
| 2025 | ICCV | DGTalker: Disentangled Generative Latent Space Learning for Audio-Driven Gaussian Talking Heads. | Xiaoxi Liang, Yanbo Fan, Qiya Yang, Xuan Wang, Wei Gao, Ge Li |
| 2025 | ICCV | Flow4Agent: Long-form Video Understanding via Motion Prior from Optical Flow. | Ruyang Liu, Shangkun Sun, Haoran Tang, Wei Gao, Ge Li |
| 2025 | ICLR | TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning. | Ge Li, Dong Tian, Hongyi Zhou, Xinkai Jiang, Rudolf Lioutikov, Gerhard Neumann |
| 2025 | ICML | Dataflow-Guided Neuro-Symbolic Language Models for Type Inference. | Ge Li, Yao Wan, Hongyu Zhang, Zhou Zhao, Wenbin Jiang, Xuanhua Shi, Hai Jin, Zheng Wang |
| 2025 | ICML | DIME: Diffusion-Based Maximum Entropy Reinforcement Learning. | Onur Celik, Zechu Li, Denis Blessing, Ge Li, Daniel Palenicek, Jan Peters, Georgia Chalvatzaki, Gerhard Neumann |
| 2025 | IJCAI | Stochasticity-aware No-Reference Point Cloud Quality Assessment. | Songlin Fan, Wei Gao, Zhineng Chen, Ge Li, Guoqing Liu, Qicheng Wang |
| 2025 | IJCNN | EGReg: Accurate and Efficient Registration of 3D Gaussian Splatting with Epipolar Geometry. | Tuoyu Jin, Shiqiang Long, Weimin Zhang, Hailong Jiao, Ge Li |
| 2025 | ICRA | Trustworthy Robot Behavior Tree Generation Based on Multi-Source Heterogeneous Knowledge Graph. | Jianchao Yuan, Shuo Yang, Qi Zhang, Ge Li, Jianping Tang |
| 2025 | ICSE | Reasoning Runtime Behavior of a Program with LLM: How Far are We? | Junkai Chen, Zhiyuan Pan, Xing Hu, Zhenhao Li, Ge Li, Xin Xia |
| 2025 | ICSE | ROCODE: Integrating Backtracking Mechanism and Program Analysis in Large Language Models for Code Generation. | Xue Jiang, Yihong Dong, Yongding Tao, Huanyu Liu, Zhi Jin, Ge Li |
| 2024 | AAAI | Less Is More: Label Recommendation for Weakly Supervised Point Cloud Semantic Segmentation. | Zhiyi Pan, Nan Zhang, Wei Gao, Shan Liu, Ge Li |
| 2024 | AAAI | Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models. | Yuqi Zhu, Jia Li, Ge Li, Yunfei Zhao, Jia Li, Zhi Jin, Hong Mei |
| 2024 | ACL | RAP: Efficient Text-Video Retrieval with Sparse-and-Correlated Adapter. | Meng Cao, Haoran Tang, Jinfa Huang, Peng Jin, Can Zhang, Ruyang Liu, Long Chen, Xiaodan Liang, Li Yuan, Ge Li |
| 2024 | ACL | Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models. | Yihong Dong, Xue Jiang, Huanyu Liu, Zhi Jin, Bin Gu, Mengfei Yang, Ge Li |
| 2024 | ACL | PACE: Improving Prompt with Actor-Critic Editing for Large Language Model. | Yihong Dong, Kangcheng Luo, Xue Jiang, Zhi Jin, Ge Li |
| 2024 | ACL | DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories. | Jia Li, Ge Li, Yunfei Zhao, Yongmin Li, Huanyu Liu, Hao Zhu, Lecheng Wang, Kaibo Liu, Zheng Fang, Lanshen Wang, Jiazheng Ding, Xuanming Zhang, Yuqi Zhu, Yihong Dong, Zhi Jin, Binhua Li, Fei Huang, Yongbin Li, Bin Gu, Mengfei Yang |
| 2024 | ACL | HiRoPE: Length Extrapolation for Code Models Using Hierarchical Position. | Kechi Zhang, Ge Li, Huangzhao Zhang, Zhi Jin |
| 2024 | ACL | CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges. | Kechi Zhang, Jia Li, Ge Li, Xianjie Shi, Zhi Jin |
| 2024 | CHI | No Joke: An Embodied Conversational Agent Greeting Older Adults with Humour or a Smile Unrelated to Initial Acceptance. | Ge Li, Katie Seaborn |
| 2024 | COLING | Enhancing Code Generation Performance of Smaller Models by Distilling the Reasoning Ability of LLMs. | Zhihong Sun, Chen Lyu, Bolun Li, Yao Wan, Hongyu Zhang, Ge Li, Zhi Jin |
| 2024 | CoRL | MaIL: Improving Imitation Learning with Selective State Space Models. | Xiaogang Jia, Qian Wang, Atalay Donat, Bowen Xing, Ge Li, Hongyi Zhou, Onur Celik, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann |
| 2024 | CVPR | BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning. | Ruyang Liu, Chen Li, Yixiao Ge, Thomas H. Li, Ying Shan, Ge Li |
| 2024 | CVPR | Learning Background Prompts to Discover Implicit Knowledge for Open Vocabulary Object Detection. | Jiaming Li, Jiacheng Zhang, Jichang Li, Ge Li, Si Liu, Liang Lin, Guanbin Li |
| 2024 | DCC | Lightweight super resolution network for point cloud geometry compression. | Wei Zhang, Dingquan Li, Ge Li, Wen Gao |
| 2024 | ECCV | ST-LLM: Large Language Models Are Effective Temporal Learners. | Ruyang Liu, Chen Li, Haoran Tang, Yixiao Ge, Ying Shan, Ge Li |
| 2024 | ICASSP | ScanPCGC: Learning-Based Lossless Point Cloud Geometry Compression using Sequential Slice Representation. | Jiangwei Deng, Yuhao An, Thomas H. Li, Shan Liu, Ge Li |
| 2024 | ICASSP | Efficient Point Cloud Attribute Compression Framework using Attribute-Guided Graph Fourier Transform. | Jingshu Zhang, Yueru Chen, Guoqing Liu, Wei Gao, Ge Li |
| 2024 | ICLR | Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning. | Ge Li, Hongyi Zhou, Dominik Roth, Serge Thilges, Fabian Otto, Rudolf Lioutikov, Gerhard Neumann |
| 2024 | ICRA | SPCGC: Scalable Point Cloud Geometry Compression for Machine Vision. | Liang Xie, Wei Gao, Huiming Zheng, Ge Li |
| 2024 | ISCAS | Instance-level Timing Learning and Prediction at Placement using Res-UNet Network. | He Liu, Simin Tao, Zhipeng Huang, Biwei Xie, Xingquan Li, Ge Li |
| 2024 | ICSE | Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning. | Mingyang Geng, Shangwen Wang, Dezun Dong, Haotian Wang, Ge Li, Zhi Jin, Xiaoguang Mao, Xiangke Liao |
| 2024 | ICSE | KareCoder: A New Knowledge-Enriched Code Generation System. | Tao Huang, Zhihong Sun, Zhi Jin, Ge Li, Chen Lyu |
| 2023 | ACL | Self-Edit: Fault-Aware Code Editor for Code Generation. | Kechi Zhang, Zhuo Li, Jia Li, Ge Li, Zhi Jin |
| 2023 | CVPR | Revisiting Temporal Modeling for CLIP-Based Image-to-Video Knowledge Transferring. | Ruyang Liu, Jingjia Huang, Ge Li, Jiashi Feng, Xinglong Wu, Thomas H. Li |
| 2023 | CVPR | Efficient Hierarchical Entropy Model for Learned Point Cloud Compression. | Rui Song, Chunyang Fu, Shan Liu, Ge Li |
| 2023 | CVPR | Improving Graph Representation for Point Cloud Segmentation via Attentive Filtering. | Nan Zhang, Zhiyi Pan, Thomas H. Li, Wei Gao, Ge Li |
| 2023 | ECAI | Antecedent Predictions Are More Important Than You Think: An Effective Method for Tree-Based Code Generation. | Yihong Dong, Ge Li, Xue Jiang, Zhi Jin |
| 2023 | ICASSP | Surface-Sampling Based Objective Quality Assessment Metrics for Meshes. | Chunyang Fu, Xiang Zhang, Thuong Nguyen-Canh, Xiaozhong Xu, Ge Li, Shan Liu |
| 2023 | ICASSP | A Point is A Wave: Point-Wave Network for Place Recognition. | Ge Li, Ruonan Zhang |
| 2023 | ICCAD | An Energy-Efficient 3D Point Cloud Neural Network Accelerator With Efficient Filter Pruning, MLP Fusion, and Dual-Stream Sampling. | Changchun Zhou, Yuzhe Fu, Min Liu, Siyuan Qiu, Ge Li, Yifan He, Hailong Jiao |
| 2023 | ICCV | AdaNIC: Towards Practical Neural Image Compression via Dynamic Transform Routing. | Lvfang Tao, Wei Gao, Ge Li, Chenhao Zhang |
| 2023 | ICLR | Causality Compensated Attention for Contextual Biased Visual Recognition. | Ruyang Liu, Jingjia Huang, Thomas H. Li, Ge Li |
| 2023 | IJCAI | Null-Space Diffusion Sampling for Zero-Shot Point Cloud Completion. | Xinhua Cheng, Nan Zhang, Jiwen Yu, Yinhuai Wang, Ge Li, Jian Zhang |
| 2023 | IROS | LIO-PPF: Fast LiDAR-Inertial Odometry via Incremental Plane Pre-Fitting and Skeleton Tracking. | Xingyu Chen, Peixi Wu, Ge Li, Thomas H. Li |
| 2023 | ICSE | SkCoder: A Sketch-based Approach for Automatic Code Generation. | Jia Li, Yongmin Li, Ge Li, Zhi Jin, Yiyang Hao, Xing Hu |
| 2023 | ISSTA | CODEP: Grammatical Seq2Seq Model for General-Purpose Code Generation. | Yihong Dong, Ge Li, Zhi Jin |
| 2023 | WACV | Frequency-Aware Self-Supervised Monocular Depth Estimation. | Xingyu Chen, Thomas H. Li, Ruonan Zhang, Ge Li |
| 2023 | WACV | Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem. | Xingyu Chen, Ruonan Zhang, Ji Jiang, Yan Wang, Ge Li, Thomas H. Li |
| 2022 | AAAI | OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression. | Chunyang Fu, Ge Li, Rui Song, Wei Gao, Shan Liu |
| 2022 | AAAI | Local Surface Descriptor for Geometry and Feature Preserved Mesh Denoising. | Wenbo Zhao, Xianming Liu, Junjun Jiang, Debin Zhao, Ge Li, Xiangyang Ji |
| 2022 | CIKM | SK2: Integrating Implicit Sentiment Knowledge and Explicit Syntax Knowledge for Aspect-Based Sentiment Analysis. | Jia Li, Yuyuan Zhao, Zhi Jin, Ge Li, Tao Shen, Zhengwei Tao, Chongyang Tao |
| 2022 | CVPR | Contextual Debiasing for Visual Recognition with Causal Mechanisms. | Ruyang Liu, Hao Liu, Ge Li, Haodi Hou, Tinghao Yu, Tao Yang |
| 2022 | CVPR | Neural Texture Extraction and Distribution for Controllable Person Image Synthesis. | Yurui Ren, Xiaoqing Fan, Ge Li, Shan Liu, Thomas H. Li |
| 2022 | CVPR | Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation. | Wenbo Zhao, Xianming Liu, Zhiwei Zhong, Junjun Jiang, Wei Gao, Ge Li, Xiangyang Ji |
| 2022 | ECCV | Salient Object Detection for Point Clouds. | Songlin Fan, Wei Gao, Ge Li |
| 2022 | EMNLP | Rethinking Positional Encoding in Tree Transformer for Code Representation. | Han Peng, Ge Li, Yunfei Zhao, Zhi Jin |
| 2022 | ICASSP | Flow-Based Point Cloud Completion Network with Adversarial Refinement. | Rong Bao, Yurui Ren, Ge Li, Wei Gao, Shan Liu |
| 2022 | ICASSP | Attention Guided Invariance Selection for Local Feature Descriptors. | Jiapeng Li, Ge Li, Thomas H. Li |
| 2022 | ICASSP | JE | Xiaoyu Zhang, Wei Gao, Hui Yuan, Ge Li |
| 2022 | ICIP | Cross-Type Attribute Prediction For Point Cloud Compression. | Tian Chen, Wei Zhang, Fuzheng Yang, Jing Wang, Ge Li |
| 2022 | ICIP | Pointivae: Invertible Variational Autoencoder Framework for 3D Point Cloud Generation. | Jingyi Chen, Ge Li, Ruonan Zhang, Thomas H. Li, Wei Gao |
| 2022 | ICIP | Context-Aware Hierarchical Transformer for Fine-Grained Video-Text Retrieval. | Mingliang Chen, Weimin Zhang, Yurui Ren, Ge Li |
| 2022 | ICIP | End-to-End Spatial-Angular Light Field Super-Resolution Using Parallax Structure Preservation Strategy. | Linjie Zhou, Wei Gao, Ge Li |
| 2022 | ICPR | Focus and Adjust: Progressive Refinement Network for Human Object Interaction Detection. | Baixiang Yang, Wei Gao, Ge Li |
| 2022 | ICRA | DKNAS: A Practical Deep Keypoint Extraction Framework Based on Neural Architecture Search. | Li Liu, Xing Cai, Ge Li, Thomas H. Li |
| 2022 | ICSE | Learning to Recommend Method Names with Global Context. | Fang Liu, Ge Li, Zhiyi Fu, Shuai Lu, Yiyang Hao, Zhi Jin |
| 2022 | ICSE | Automated Assertion Generation via Information Retrieval and Its Integration with Deep learning. | Hao Yu, Yiling Lou, Ke Sun, Dezhi Ran, Tao Xie, Dan Hao, Ying Li, Ge Li, Qianxiang Wang |
| 2022 | VTC | Dynamic Content Caching Based on Actor-Critic Reinforcement Learning for IoT Systems. | Lifeng Lai, Fu-Chun Zheng, Wanli Wen, Jingjing Luo, Ge Li |
| 2022 | VCIP | A Fast Motion Estimation Method With Hamming Distance for LiDAR Point Cloud Compression. | Yuhao An, Yiting Shao, Ge Li, Wei Gao, Shan Liu |
| 2022 | VCIP | A efficient predictive wavelet transform for LiDAR point cloud attribute compression. | Yueru Chen, Jing Wang, Ge Li |
| 2022 | VCIP | SparseARFM-SI: Rotary Point Cloud Place Recognition Based on Multi-Resolution and Attention Mechanism. | Xiaohang Liu, Ruonan Zhang, Jie Wang, Ge Li |
| 2022 | VCIP | Near-lossless Point Cloud Geometry Compression Based on Adaptive Residual Compensation. | Dingquan Li, Jing Wang, Ge Li |
| 2022 | VCIP | ERINet: Effective Rotation Invariant Network for Point Cloud based Place Recognition. | Shichen Weng, Ruonan Zhang, Ge Li |
| 2022 | VCIP | PointNetGeM: Simple and Efficient Point Cloud Based Network for Place Recognition. | Keli Wen, Ruonan Zhang, Ge Li |
| 2022 | UIC | Geometric-Aware Calibration Mechanism for Self-Supervised Depth Estimation. | Yan Wang, Ge Li, Ruonan Zhang, Xingyu Chen, Thomas H. Li |
| 2021 | AAAI | SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains. | Yuanqi Chen, Ge Li, Cece Jin, Shan Liu, Thomas H. Li |
| 2021 | CoRL | Specializing Versatile Skill Libraries using Local Mixture of Experts. | Onur Celik, Dongzhuoran Zhou, Ge Li, Philipp Becker, Gerhard Neumann |
| 2021 | HPCC | Long-term change characteristics and mechanism analysis of salinity in section B1 of Bohai sea. | Yan Li, Huaming Yu, Xuechao Zhang, Ge Li, Min Bao |
| 2021 | HPCC | Analysis of the impact of offshore wind power development on marine ecological environment based on observation data. | Yanni Wang, Huaming Yu, Yaocheng Deng, Ge Li, Zhuan Zhou, Min Bao |
| 2021 | ICASSP | Nested Error Map Generation Network for No-Reference Image Quality Assessment. | Junming Chen, Haiqiang Wang, Ge Li, Shan Liu |
| 2021 | ICASSP | ATVIO: Attention Guided Visual-Inertial Odometry. | Li Liu, Ge Li, Thomas H. Li |
| 2021 | ICCV | PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering. | Yurui Ren, Ge Li, Yuanqi Chen, Thomas H. Li, Shan Liu |
| 2021 | ICCV | Structure-transformed Texture-enhanced Network for Person Image Synthesis. | Munan Xu, Yuanqi Chen, Shan Liu, Thomas H. Li, Ge Li |
| 2021 | ICIP | Rethinking Training Objective For Self-Supervised Monocular Depth Estimation: Semantic Cues To Rescue. | Keyao Li, Ge Li, Thomas H. Li |
| 2020 | AAAI | Region Focus Network for Joint Optic Disc and Cup Segmentation. | Ge Li, Changsheng Li, Chan Zeng, Peng Gao, Guotong Xie |
| 2020 | AAAI | Generating Adversarial Examples for Holding Robustness of Source Code Processing Models. | Huangzhao Zhang, Zhuo Li, Ge Li, Lei Ma, Yang Liu, Zhi Jin |
| 2020 | ACCV | Over-Exposure Correction via Exposure and Scene Information Disentanglement. | Yuhui Cao, Yurui Ren, Thomas H. Li, Ge Li |
| 2020 | CVPR | Deep Image Spatial Transformation for Person Image Generation. | Yurui Ren, Xiaoming Yu, Junming Chen, Thomas H. Li, Ge Li |
| 2020 | ICASSP | Regression Before Classification for Temporal Action Detection. | Cece Jin, Tao Zhang, Weijie Kong, Thomas H. Li, Ge Li |
| 2020 | ICASSP | ROIMIX: Proposal-Fusion Among Multiple Images for Underwater Object Detection. | Wei-Hong Lin, Jia-Xing Zhong, Shan Liu, Thomas H. Li, Ge Li |
| 2020 | ICASSP | C3DVQA: Full-Reference Video Quality Assessment with 3D Convolutional Neural Network. | Munan Xu, Junming Chen, Haiqiang Wang, Shan Liu, Ge Li, Zhiqiang Bai |
| 2020 | ICASSP | Pose Refinement: Bridging the Gap Between Unsupervised Learning and Geometric Methods for Visual Odometry. | Lanqing Zhang, Ge Li, Thomas H. Li |
| 2020 | ICPR | A Benchmark for Analyzing Chart Images. | Zhipeng Luo, Zhiguang Zhang, Ge Li, Lixuan Che, Jianye He, Zhenyu Xu |
| 2020 | IJCAI | NLocalSAT: Boosting Local Search with Solution Prediction. | Wenjie Zhang, Zeyu Sun, Qihao Zhu, Ge Li, Shaowei Cai, Yingfei Xiong, Lu Zhang |
| 2020 | ICTAI | Towards Loss Balance and Consistent Model in Self-supervised Monocular Depth Estimation. | Chengyuan Li, Lanqing Zhang, Xing Cai, Keyao Li, Ge Li, Thomas H. Li |
| 2020 | WWW | When Recommender Systems Meet Fleet Management: Practical Study in Online Driver Repositioning System. | Zhe Xu, Chang Men, Peng Li, Bicheng Jin, Ge Li, Yue Yang, Chunyang Liu, Ben Wang, Xiaohu Qie |
| 2020 | VCIP | Point Cloud Attribute Compression via Successive Subspace Graph Transform. | Yueru Chen, Yiting Shao, Jing Wang, Ge Li, C.-C. Jay Kuo |
| 2020 | VCIP | A point cloud compression framework via spherical projection. | Yingshen He, Ge Li, Yiting Shao, Jing Wang, Yueru Chen, Shan Liu |
| 2020 | VCIP | Fast Recolor Prediction Scheme in Point Cloud Attribute Compression. | Chuang Ma, Ge Li, Qi Zhang, Yiting Shao, Jing Wang, Shan Liu |
| 2019 | AAAI | A Grammar-Based Structural CNN Decoder for Code Generation. | Zeyu Sun, Qihao Zhu, Lili Mou, Yingfei Xiong, Ge Li, Lu Zhang |
| 2019 | BMVC | Base-detail image inpainting. | Ruonan Zhang, Yurui Ren, Jingfei Qiu, Ge Li |
| 2019 | COMPSAC | Deep-AutoCoder: Learning to Complete Code Precisely with Induced Code Tokens. | Xing Hu, Rui Men, Ge Li, Zhi Jin |
| 2019 | CVPR | Real Photographs Denoising With Noise Domain Adaptation and Attentive Generative Adversarial Network. | Kai Lin, Thomas H. Li, Shan Liu, Ge Li |
| 2019 | CVPR | Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection. | Jia-Xing Zhong, Nannan Li, Weijie Kong, Shan Liu, Thomas H. Li, Ge Li |
| 2019 | DCC | Separable KLT for Intra Coding in Versatile Video Coding (VVC). | Kui Fan, Ronggang Wang, Weisi Lin, Jong-Uk Hou, Lingyu Duan, Ge Li, Wen Gao |
| 2019 | DCC | ResGAN: A Low-Level Image Processing Network to Restore Original Quality of JPEG Compressed Images. | Chunbiao Zhu, Yuanqi Chen, Yiwei Zhang, Shan Liu, Ge Li |
| 2019 | ICASSP | Selecting Optimal Proposal Number for Image-based Object Detection. | Wenjie Guan, Xiaoqun Zhou, Ge Li, Yuexian Zou |
| 2019 | ICASSP | BLP - Boundary Likelihood Pinpointing Networks for Accurate Temporal Action Localization. | Weijie Kong, Nannan Li, Shan Liu, Thomas H. Li, Ge Li |
| 2019 | ICASSP | Why Do Neural Dialog Systems Generate Short and Meaningless Replies? a Comparison between Dialog and Translation. | Bolin Wei, Shuai Lu, Lili Mou, Hao Zhou, Pascal Poupart, Ge Li, Zhi Jin |
| 2019 | ICASSP | Multi-step Self-attention Network for Cross-modal Retrieval Based on a Limited Text Space. | Zheng Yu, Wenmin Wang, Ge Li |
| 2019 | ICASSP | Boundary Information Matters More: Accurate Temporal Action Detection with Temporal Boundary Network. | Tao Zhang, Shan Liu, Thomas H. Li, Ge Li |
| 2019 | ICCV | AttPool: Towards Hierarchical Feature Representation in Graph Convolutional Networks via Attention Mechanism. | Jingjia Huang, Zhangheng Li, Nannan Li, Shan Liu, Ge Li |
| 2019 | ICCV | StructureFlow: Image Inpainting via Structure-Aware Appearance Flow. | Yurui Ren, Xiaoming Yu, Ruonan Zhang, Thomas H. Li, Shan Liu, Ge Li |
| 2019 | IJCAI | ARMIN: Towards a More Efficient and Light-weight Recurrent Memory Network. | Zhangheng Li, Jia-Xing Zhong, Jingjia Huang, Tao Zhang, Thomas H. Li, Ge Li |
| 2019 | VCIP | Convolutional Neural Network Based Up-Sampling for Depth Video Intra Coding. | Jianjun Lei, Xiaohuan Liu, Kaiming Zhang, Ge Li, Nam Ling |
| 2019 | VCIP | Enhanced Intra Prediction Scheme in Point Cloud Attribute Compression. | Honglian Wei, Yiting Shao, Jing Wang, Shan Liu, Ge Li |
| 2018 | AAAI | SAP: Self-Adaptive Proposal Model for Temporal Action Detection Based on Reinforcement Learning. | Jingjia Huang, Nannan Li, Tao Zhang, Ge Li, Tiejun Huang, Wen Gao |
| 2018 | ACCV | SingleGAN: Image-to-Image Translation by a Single-Generator Network Using Multiple Generative Adversarial Learning. | Xiaoming Yu, Xing Cai, Zhenqiang Ying, Thomas H. Li, Ge Li |
| 2018 | DCC | An Innovative Saliency Guided ROI Selection Model for Panoramic Images Compression. | Chunbiao Zhu, Kan Huang, Ge Li |
| 2018 | ICASSP | A Motion Aided Merge Mode For Hevc. | Hao Li, Kui Fan, Ronggang Wang, Ge Li, Wenmin Wang |
| 2018 | ICIP | Robust Salient Object Detection via Fusing Foreground and Background Priors. | Kan Huang, Chunbiao Zhu, Ge Li |
| 2018 | ICIP | An Active Action Proposal Method Based on Reinforcement Learning. | Tao Zhang, Nannan Li, Jingjia Huang, Jia-Xing Zhong, Ge Li |
| 2018 | IJCAI | Summarizing Source Code with Transferred API Knowledge. | Xing Hu, Ge Li, Xin Xia, David Lo, Shuai Lu, Zhi Jin |
| 2018 | MMM | Deep Pedestrian Detection Using Contextual Information and Multi-level Features. | Weijie Kong, Nannan Li, Thomas H. Li, Ge Li |
| 2018 | MMM | A New Accurate Image Denoising Method Based on Sparse Coding Coefficients. | Kai Lin, Ge Li, Yiwei Zhang, Jia-Xing Zhong |
| 2018 | VCIP | Point Clouds Attribute Compression Using Data-Adaptive Intra prediction. | Qi Zhang, Yiting Shao, Ge Li |
| 2017 | CAIP | A Violence Detection Approach Based on Spatio-temporal Hypergraph Transition. | Jingjia Huang, Ge Li, Nannan Li, Ronggang Wang, Wenmin Wang |
| 2017 | CAIP | A New Image Contrast Enhancement Algorithm Using Exposure Fusion Framework. | Zhenqiang Ying, Ge Li, Yurui Ren, Ronggang Wang, Wenmin Wang |
| 2017 | CAIP | A New Shadow Removal Method Using Color-Lines. | Xiaoming Yu, Ge Li, Zhenqiang Ying, Xiaoqiang Guo |
| 2017 | CAIP | A Multilayer Backpropagation Saliency Detection Algorithm Based on Depth Mining. | Chunbiao Zhu, Ge Li, Xiaoqiang Guo, Wenmin Wang, Ronggang Wang |
| 2017 | FUSION | Tracking maneuvering targets using a modified Rao-Blackwellised particle filter. | Peng Wang, Ge Li, Xiang Zhang, Kedi Huang |
| 2017 | ICASSP | ORGB: Offset correction in RGB color space for illumination-robust image processing. | Zhenqiang Ying, Ge Li, Sixin Wen, Guozhen Tan |
| 2017 | ICONIP | Deep Metric Learning with False Positive Probability - Trade Off Hard Levels in a Weighted Way. | Jia-Xing Zhong, Ge Li, Nannan Li |
| 2017 | KSEM | Learning Sparse Overcomplete Word Vectors Without Intermediate Dense Representations. | Yunchuan Chen, Ge Li, Zhi Jin |
| 2017 | KSEM | Improved Knowledge Base Completion by the Path-Augmented TransR Model. | Wenhao Huang, Ge Li, Zhi Jin |
| 2017 | KSEM | Learning to Infer API Mappings from API Documents. | Yangyang Lu, Ge Li, Zelong Zhao, Linfeng Wen, Zhi Jin |
| 2017 | VCIP | Mask-streaming CNN for pedestrian detection. | Peilei Dong, Wenmin Wang, Mengdi Fan, Ronggang Wang, Ge Li |
| 2017 | VCIP | Improved intra boundary filters for HEVC. | Kui Fan, Ronggang Wang, Yueming Wang, Ge Li, Wen Gao |
| 2017 | VCIP | Attribute compression of 3D point clouds using Laplacian sparsity optimized graph transform. | Yiting Shao, Zhaobin Zhang, Zhu Li, Kui Fan, Ge Li |
| 2017 | VCIP | Adaptive difference modelling for background subtraction. | Xianghao Zang, Ge Li, Jun Yang, Wenmin Wang |
| 2017 | VCIP | A new underwater image enhancing method via color correction and illumination adjustment. | Wenhao Zhang, Ge Li, Zhenqiang Ying |
| 2016 | AAAI | Convolutional Neural Networks over Tree Structures for Programming Language Processing. | Lili Mou, Ge Li, Lu Zhang, Tao Wang, Zhi Jin |
| 2016 | ACCV | Searching Action Proposals via Spatial Actionness Estimation and Temporal Path Inference and Tracking. | Nannan Li, Dan Xu, Zhenqiang Ying, Zhihao Li, Ge Li |
| 2016 | ACL | Compressing Neural Language Models by Sparse Word Representations. | Yunchuan Chen, Lili Mou, Yan Xu, Ge Li, Zhi Jin |
| 2016 | ACL | Natural Language Inference by Tree-Based Convolution and Heuristic Matching. | Lili Mou, Rui Men, Ge Li, Yan Xu, Lu Zhang, Rui Yan, Zhi Jin |
| 2016 | CIKM | Distilling Word Embeddings: An Encoding Approach. | Lili Mou, Ran Jia, Yan Xu, Ge Li, Lu Zhang, Zhi Jin |
| 2016 | COLING | Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation. | Lili Mou, Yiping Song, Rui Yan, Ge Li, Lu Zhang, Zhi Jin |
| 2016 | COLING | Improved relation classification by deep recurrent neural networks with data augmentation. | Yan Xu, Ran Jia, Lili Mou, Ge Li, Yunchuan Chen, Yangyang Lu, Zhi Jin |
| 2016 | EMNLP | How Transferable are Neural Networks in NLP Applications? | Lili Mou, Zhao Meng, Rui Yan, Ge Li, Yan Xu, Lu Zhang, Zhi Jin |
| 2016 | ICASSP | Robust lane marking detection using boundary-based inverse perspective mapping. | Zhenqiang Ying, Ge Li |
| 2016 | ICPR | An Empirical Study of Deformable Part Model with fast feature pyramid. | Jun Yang, Ge Li, Wenmin Wang, Ronggang Wang |
| 2016 | KSEM | Learning Embeddings of API Tokens to Facilitate Deep Learning Based Program Processing. | Yangyang Lu, Ge Li, Rui Miao, Zhi Jin |
| 2016 | KSEM | Context-Aware Tree-Based Convolutional Neural Networks for Natural Language Inference. | Zhao Meng, Lili Mou, Ge Li, Zhi Jin |
| 2016 | VCIP | An effective post quantization rate estimation for HEVC intra encoder. | Hongbin Cao, Ronggang Wang, Zhenyu Wang, Ge Li, Wenmin Wang |
| 2016 | VCIP | A new video denoising method using texture metric and adaptive structure variance. | Yiwei Zhang, Ge Li, Xiaoqiang Guo, Wenmin Wang, Ronggang Wang |
| 2015 | EMNLP | Discriminative Neural Sentence Modeling by Tree-Based Convolution. | Lili Mou, Hao Peng, Ge Li, Yan Xu, Lu Zhang, Zhi Jin |
| 2015 | EMNLP | A Comparative Study on Regularization Strategies for Embedding-based Neural Networks. | Hao Peng, Lili Mou, Ge Li, Yunchuan Chen, Yangyang Lu, Zhi Jin |
| 2015 | EMNLP | Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths. | Yan Xu, Lili Mou, Ge Li, Yunchuan Chen, Hao Peng, Zhi Jin |
| 2015 | ISM | An Illumination-Robust Approach for Feature-Based Road Detection. | Zhenqiang Ying, Ge Li, Guozhen Tan |
| 2015 | KSEM | Building Program Vector Representations for Deep Learning. | Hao Peng, Lili Mou, Ge Li, Yuxuan Liu, Lu Zhang, Zhi Jin |
| 2014 | APWEB | Temporal Curve Patterns Discovery of Information in BBS. | Yanyu Yu, Yue Hu, Ge Li |
| 2014 | IC2E | PSLA: A PaaS Level SLA Description Language. | Ge Li, Frdric Pourraz, Patrice Moreaux |
| 2014 | ICRA | Attitude-guided robust adaptive path following control for ducted fan UAV. | Yanhe Zhu, Ge Li, Jie Zhao, HongZhe Jin |
| 2014 | KSEM | Verification Based on Hyponymy Hierarchical Characteristics for Web-Based Hyponymy Discovery. | Lili Mou, Ge Li, Zhi Jin, Lu Zhang |
| 2013 | COMPSAC | Domain Hyponymy Hierarchy Discovery by Iterative Web Searching and Inferable Semantics Based Concept Selecting. | Lili Mou, Ge Li, Zhi Jin |
| 2013 | ICSE | MCT: a tool for commenting programs by multimedia comments. | Yiyang Hao, Ge Li, Lili Mou, Lu Zhang, Zhi Jin |
| 2013 | ICSR | A Knowware Based Infrastructure for Rule Based Control Systems in Smart Spaces. | Yangyang Lu, Ge Li, Zhi Jin, Xueyuan Xing, Yiyang Hao |
| 2012 | APSEC | Discovering Domain Concepts and Hyponymy Relations by Text Relevance Classifying Based Iterative Web Searching. | Lili Mou, Ge Li, Zhi Jin, Yangyang Lu, Yiyang Hao |
| 2012 | ICWS | Modeling and Analyzing the Reliability and Cost of Service Composition in the IoT: A Probabilistic Approach. | Lixing Li, Zhi Jin, Ge Li, Liwei Zheng, Qiang Wei |
| 2012 | PADS | SafeBTW: A Scalable Optimistic Yet Non-risky Synchronization Algorithm. | Yaocheng Zhang, Ge Li |
| 2011 | ISSAC | Approximate rational solutions torational ODEs defined on discrete differentiable curves. | Hongbo Li, Ruiyong Sun, Shoubin Yao, Ge Li |
| 2011 | KSEM | An Engineerable Ontology Based Approach for Requirements Elicitation in Process Centered Problem Domain. | Ge Li, Zhi Jin, Yan Xu, Yangyang Lu |
| 2011 | SEKE | An Ontology based Method for Building Understandable Hierarchical Classification Structure for Software Assets Browsing. | Ge Li, Zhi Jin |
| 2010 | SEKE | Assisting Developers to Read Code Help-Documents Efficiently through Discovering Document-section Relationships. | Lijie Wang, Leye Wang, Ge Li, Bing Xie |
| 2009 | ICSOC | Assisting Trustworthiness Based Web Services Selection Using the Fidelity of Websites. | Lijie Wang, Fei Liu, Ge Li, Liang Gu, Liangjie Zhang, Bing Xie |
| 2008 | ICSR | Recommending Typical Usage Examples for Component Retrieval in Reuse Repositories. | Yan Li, Liangjie Zhang, Ge Li, Bing Xie, Jiasu Sun |
| 2007 | COMPSAC | A metamodel for the notation of graphical modeling languages. | Xiao He, Zhiyi Ma, Weizhong Shao, Ge Li |
| 2007 | ICWS | An Exploratory Study of Web Services on the Internet. | Yan Li, Yao Liu, Liang-Jie Zhang, Ge Li, Bing Xie, Jiasu Sun |
| 2007 | ICWS | Using Scenario Oriented Response-time Management for Composite Web Services. | Ya-sha Wang, Junfeng Zhao, Ge Li |
| 2007 | SEKE | Ontology Based Classification Generating Method for Browsing-Based Component Retrieval. | Ge Li, Lu Zhang, Bing Xie, Weizhong Shao |
| 2004 | ICSR | Attribute Ranking: An Entropy-Based Approach to Accelerating Browsing-Based Component Retrieval. | Ge Li, Ying Pan, Lu Zhang, Bing Xie, Weizhong Shao |
| 2004 | WCNC | Quasiregular LDPC codes for space-time wireless transmission. | Ge Li, Witold A. Krzymien, Ivan J. Fair |
| 2001 | VTC | Performance improvement of the HDR system due to hybrid ARQ. | Mehmet Yavuz, David W. Paranchych, Geng Wu, Ge Li, Witold A. Krzymien |
| 1999 | WCNC | Blind linear equalization for GSM signals in a mobile environment. | Ge Li, Zhi Ding |
| 1998 | ICASSP | A semi-blind channel identification method for GSM receivers. | Ge Li, Zhi Ding |