papers

Publications (260)

cs.SE2025

SEAlign: Alignment Training for Software Engineering Agent

Kechi Zhang, Huangzhao Zhang, Ge Li +4

cs.SE2026

IntentCoding: Amplifying User Intent in Code Generation

Zheng Fang, Yihong Dong, Lili Mou +3

cs.CV2024

Distribution Guidance Network for Weakly Supervised Point Cloud Semantic Segmentation

Zhiyi Pan, Wei Gao, Shan Liu +1

cs.PL2025

LLMigrate: Transforming "Lazy" Large Language Models into Efficient Source Code Migrators

Yuchen Liu, Junhao Hu, Yingdi Shan +4

cs.SE2021

Modular Tree Network for Source Code Representation Learning

Wenhan Wang, Ge Li, Sijie Shen +2

cs.SE2026

KOCO-BENCH: Can Large Language Models Leverage Domain Knowledge in Software Development?

Xue Jiang, Ge Li, Jiaru Qian +12

cs.SE2026

Think Anywhere in Code Generation

Xue Jiang, Tianyu Zhang, Ge Li +8

math.RT2014

A KLR Grading of the Brauer Algebras

Ge Li

cs.CV2018

A multilayer backpropagation saliency detection algorithm and its applications

Chunbiao Zhu, Ge Li

cs.NI2022

Toward 6G TK Extreme Connectivity: Architecture, Key Technologies and Experiments

Xiaohu You, Yongming Huang, Shengheng Liu +20

cs.LG2025

FAN: Fourier Analysis Networks

Yihong Dong, Ge Li, Yongding Tao +7

cs.SE2024

M2CVD: Enhancing Vulnerability Semantic through Multi-Model Collaboration for Code Vulnerability Detection

Ziliang Wang, Ge Li, Jia Li +3

cs.SE2022

Learning to Represent Programs with Heterogeneous Graphs

Kechi Zhang, Wenhan Wang, Huangzhao Zhang +2

cs.LG2026

PAWS: Preference Learning with Advantage-Weighted Segments

Aleksandar Taranovic, Onur Celik, Niklas Freymuth +6

cs.CL2024

Generating Equivalent Representations of Code By A Self-Reflection Approach

Jia Li, Ge Li, Lecheng Wang +2

cs.CL2022

Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively

Haojie Zhang, Ge Li, Jia Li +3

cs.CV2020

Deep Image Spatial Transformation for Person Image Generation

Yurui Ren, Xiaoming Yu, Junming Chen +2

cs.LG2026

Do Transformers Have the Ability for Periodicity Generalization?

Huanyu Liu, Ge Li, Yihong Dong +7

cs.CV2026

Mamoda2.5: Enhancing Unified Multimodal Model with DiT-MoE

Yangming Shi, Shixiang Zhu, Tao Shen +14

cs.LG2024

Variational Distillation of Diffusion Policies into Mixture of Experts

Hongyi Zhou, Denis Blessing, Ge Li +4

cs.CV2020

Toward Zero-Shot Unsupervised Image-to-Image Translation

Yuanqi Chen, Xiaoming Yu, Shan Liu +1

cs.CL2016

Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation

Lili Mou, Yiping Song, Rui Yan +3

cs.SE2024

Reasoning Runtime Behavior of a Program with LLM: How Far Are We?

Junkai Chen, Zhiyuan Pan, Xing Hu +3

cs.CV2022

Learning to Disentangle Scenes for Person Re-identification

Xianghao Zang, Ge Li, Wei Gao +1

cs.RO2026

PointMapPolicy: Structured Point Cloud Processing for Multi-Modal Imitation Learning

Xiaogang Jia, Qian Wang, Anrui Wang +12

cs.CV2019

StructureFlow: Image Inpainting via Structure-aware Appearance Flow

Yurui Ren, Xiaoming Yu, Ruonan Zhang +3

cs.SE2025

GraphCodeAgent: Dual Graph-Guided LLM Agent for Retrieval-Augmented Repo-Level Code Generation

Jia Li, Xianjie Shi, Kechi Zhang +10

cs.CV2026

Proteus: A Truncation-Robust Entropy Model for Progressive LiDAR Compression

Yihan Qiu, Xiaodong Lin, Baoquan Zhao +2

cs.SE2026

aiXcoder-7B-v2: Training LLMs to Fully Utilize the Long Context in Repository-level Code Completion

Jia Li, Hao Zhu, Huanyu Liu +7

cs.SE2024

Python Symbolic Execution with LLM-powered Code Generation

Wenhan Wang, Kaibo Liu, An Ran Chen +4

cs.CL2017

Why Do Neural Dialog Systems Generate Short and Meaningless Replies? A Comparison between Dialog and Translation

Bolin Wei, Shuai Lu, Lili Mou +4

cs.CV2021

Combining Attention with Flow for Person Image Synthesis

Yurui Ren, Yubo Wu, Thomas H. Li +2

cs.AI2026

3D Instruction Ambiguity Detection

Jiayu Ding, Haoran Tang, Hongbo Jin +2

cs.LG2024

MaIL: Improving Imitation Learning with Mamba

Xiaogang Jia, Qian Wang, Atalay Donat +7

cs.CV2022

Frequency-Aware Self-Supervised Monocular Depth Estimation

Xingyu Chen, Thomas H. Li, Ruonan Zhang +1

eess.IV2020

C3DVQA: Full-Reference Video Quality Assessment with 3D Convolutional Neural Network

Munan Xu, Junming Chen, Haiqiang Wang +3

cs.LG2025

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning

Onur Celik, Zechu Li, Denis Blessing +5

cs.CL2016

Backward and Forward Language Modeling for Constrained Sentence Generation

Lili Mou, Rui Yan, Ge Li +2

cs.AI2026

Saber: An Efficient Sampling with Adaptive Acceleration and Backtracking Enhanced Remasking for Diffusion Language Model

Yihong Dong, Zhaoyu Ma, Xue Jiang +10

cs.CV2019

Bi-Skip: A Motion Deblurring Network Using Self-paced Learning

Yiwei Zhang, Chunbiao Zhu, Ge Li +2

cs.CV2019

Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection

Jia-Xing Zhong, Nannan Li, Weijie Kong +3

cs.SE2024

Self-collaboration Code Generation via ChatGPT

Yihong Dong, Xue Jiang, Zhi Jin +1

cs.CV2018

Step-by-step Erasion, One-by-one Collection: A Weakly Supervised Temporal Action Detector

Jia-Xing Zhong, Nannan Li, Weijie Kong +3

cs.LG2021

Machine Learning for Multimodal Electronic Health Records-based Research: Challenges and Perspectives

Ziyi Liu, Jiaqi Zhang, Yongshuai Hou +3

cs.CV2021

PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering

Yurui Ren, Ge Li, Yuanqi Chen +2

cs.CV2023

Mug-STAN: Adapting Image-Language Pretrained Models for General Video Understanding

Ruyang Liu, Jingjia Huang, Wei Gao +2

cs.CV2022

Exploiting Robust Unsupervised Video Person Re-identification

Xianghao Zang, Ge Li, Wei Gao +1

cs.CL2024

EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations

Jia Li, Ge Li, Xuanming Zhang +6

cs.SE2023

ZC3: Zero-Shot Cross-Language Code Clone Detection

Jia Li, Chongyang Tao, Zhi Jin +2

cs.CV2022

Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation

Wenbo Zhao, Xianming Liu, Zhiwei Zhong +4

cs.SE2021

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Shuai Lu, Daya Guo, Shuo Ren +19

cs.CV2025

Stochasticity-aware No-Reference Point Cloud Quality Assessment

Songlin Fan, Wei Gao, Zhineng Chen +3

cs.CV2024

ContextHOI: Spatial Context Learning for Human-Object Interaction Detection

Mingda Jia, Liming Zhao, Ge Li +1

cs.SE2023

ToolCoder: Teach Code Generation Models to use API search tools

Kechi Zhang, Huangzhao Zhang, Ge Li +3

cs.CL2026

Lookahead-then-Verify: Reliable Constrained Decoding for Diffusion LLMs under Context-Free Grammars

Yitong Zhang, Yongmin Li, Yuetong Liu +4

astro-ph.GA2019

Fast Inflow Directly Feeding Black Hole Accretion Disk in Quasars

Hongyan Zhou, Xiheng Shi, Weimin Yuan +21

cs.SE2023

Large Language Model-Aware In-Context Learning for Code Generation

Jia Li, Ge Li, Chongyang Tao +3

cs.MM2017

Attribute Compression of 3D Point Clouds Using Laplacian Sparsity Optimized Graph Transform

Yiting Shao, Zhaobin Zhang, Zhu Li +2

astro-ph.GA2022

Feeding the Accretion Disk from the Dusty Torus in a Reddened Quasar

Ge Li, Xiheng Shi, Qiguo Tian +4

cs.SE2025

Ensembling Large Language Models for Code Vulnerability Detection: An Empirical Evaluation

Zhihong Sun, Jia Li, Yao Wan +7

cs.SE2026

VulInstruct: Teaching LLMs Root-Cause Reasoning for Vulnerability Detection via Security Specifications

Hao Zhu, Jia Li, Cuiyun Gao +7

cs.SE2022

Poison Attack and Defense on Deep Source Code Processing Models

Jia Li, Zhuo Li, Huangzhao Zhang +4

cs.CV2022

Deep Geometry Post-Processing for Decompressed Point Clouds

Xiaoqing Fan, Ge Li, Dingquan Li +3

cs.CV2026

VISTA: Mitigating Semantic Inertia in Video-LLMs via Training-Free Dynamic Chain-of-Thought Routing

Hongbo Jin, Jiayu Ding, Siyi Xie +2

cs.SE2024

Line-level Semantic Structure Learning for Code Vulnerability Detection

Ziliang Wang, Ge Li, Jia Li +3

cs.HC2025

CartoAgent: a multimodal large language model-powered multi-agent cartographic framework for map style transfer and evaluation

Chenglong Wang, Yuhao Kang, Zhaoya Gong +4

cs.AI2020

NLocalSAT: Boosting Local Search with Solution Prediction

Wenjie Zhang, Zeyu Sun, Qihao Zhu +4

cs.CR2025

DAVSP: Safety Alignment for Large Vision-Language Models via Deep Aligned Visual Safety Prompt

Yitong Zhang, Jia Li, Liyi Cai +1

cs.SE2025

Exploring and Lifting the Robustness of LLM-powered Automated Program Repair with Metamorphic Testing

Pengyu Xue, Linhao Wu, Zhen Yang +8

cs.CV2021

Large-Scale Spatio-Temporal Person Re-identification: Algorithms and Benchmark

Xiujun Shu, Xiao Wang, Xianghao Zang +4

cs.CL2025

Theoretical Proof that Auto-regressive Language Models Collapse when Real-world Data is a Finite Set

Lecheng Wang, Xianjie Shi, Ge Li +5

cs.CL2016

How Transferable are Neural Networks in NLP Applications?

Lili Mou, Zhao Meng, Rui Yan +4

cs.CV2026

TIR-Flow: Active Video Search and Reasoning with Frozen VLMs

Hongbo Jin, Siyi Xie, Jiayu Ding +2

cs.CL2016

Natural Language Inference by Tree-Based Convolution and Heuristic Matching

Lili Mou, Rui Men, Ge Li +4

cs.SE2022

Are We Building on the Rock? On the Importance of Data Preprocessing for Code Summarization

Lin Shi, Fangwen Mu, Xiao Chen +6

cs.SE2022

Non-autoregressive Model for Full-line Code Completion

Fang Liu, Zhiyi Fu, Ge Li +3

eess.IV2022

OpenMedIA: Open-Source Medical Image Analysis Toolbox and Benchmark under Heterogeneous AI Computing Platforms

Jia-Xin Zhuang, Xiansong Huang, Yang Yang +6

cs.SE2025

Computational Thinking Reasoning in Large Language Models

Kechi Zhang, Ge Li, Jia Li +8

eess.IV2023

Lightweight super resolution network for point cloud geometry compression

Wei Zhang, Dingquan Li, Ge Li +1

cs.CV2020

Multi-Mapping Image-to-Image Translation with Central Biasing Normalization

Xiaoming Yu, Zhenqiang Ying, Thomas Li +2

cs.CV2020

A Technical Report for VIPriors Image Classification Challenge

Zhipeng Luo, Ge Li, Zhiguang Zhang

cs.SE2023

LIVABLE: Exploring Long-Tailed Classification of Software Vulnerability Types

Xin-Cheng Wen, Cuiyun Gao, Feng Luo +3

cs.CL2024

EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-World Code Repositories

Jia Li, Ge Li, Xuanming Zhang +2

cs.SE2023

WELL: Applying Bug Detectors to Bug Localization via Weakly Supervised Learning

Zhuo Li, Huangzhao Zhang, Zhi Jin +1

cs.CV2023

Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem

Xingyu Chen, Ruonan Zhang, Ji Jiang +3

cs.CV2020

SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains

Yuanqi Chen, Ge Li, Cece Jin +2

cs.CV2017

Robust Saliency Detection via Fusing Foreground and Background Priors

Kan Huang, Chunbiao Zhu, Ge Li

cs.AI2023

TACO: Topics in Algorithmic COde generation dataset

Rongao Li, Jie Fu, Bo-Wen Zhang +6

cs.CL2026

Detecting Data Contamination from Reinforcement Learning Post-training for Large Language Models

Yongding Tao, Tian Wang, Yihong Dong +4

cs.CV2025

VideoCuRL: Video Curriculum Reinforcement Learning with Orthogonal Difficulty Decomposition

Hongbo Jin, Kuanwei Lin, Wenhao Zhang +2

astro-ph.HE2022

A Mid-infrared Study of Superluminous Supernovae

Luming Sun, Lin Xiao, Ge Li

cs.SE2025

Focused-DPO: Enhancing Code Generation Through Focused Preference Optimization on Error-Prone Points

Kechi Zhang, Ge Li, Jia Li +2

cs.CR2023

A Provably Secure Strong PUF based on LWE: Construction and Implementation

Xiaodan Xi, Ge Li, Ye Wang +2

cs.SE2020

Retrieve and Refine: Exemplar-based Neural Comment Generation

Bolin Wei, Yongmin Li, Ge Li +2

cs.SE2023

AceCoder: Utilizing Existing Code to Enhance Code Generation

Jia Li, Yunfei Zhao, Yongmin Li +2

cs.SE2023

SkCoder: A Sketch-based Approach for Automatic Code Generation

Jia Li, Yongmin Li, Ge Li +3

cs.SE2022

Incorporating Domain Knowledge through Task Augmentation for Front-End JavaScript Code Generation

Sijie Shen, Xiang Zhu, Yihong Dong +3

cs.CV2022

Multi-direction and Multi-scale Pyramid in Transformer for Video-based Pedestrian Retrieval

Xianghao Zang, Ge Li, Wei Gao

cs.LG2018

A Grammar-Based Structural CNN Decoder for Code Generation

Zeyu Sun, Qihao Zhu, Lili Mou +3

cs.SE2020

A Self-Attentional Neural Architecture for Code Completion with Multi-Task Learning

Fang Liu, Ge Li, Bolin Wei +3