百晓学者学者目录

叶伟

副教授、副研究员、助理教授、博士生导师、博导、教授、研究员、讲师，同济大学

精选作品

期刊论文

2026

Label space compression and prompt alignment for collaborative inference with small and large language models

Bo Li, Zheng-Hua Xu, Shi-Kun Zhang, Wei Ye

Neurocomputing

DOI

2026

Implicit Demonstration Augmentation for Robust and Stable In-Context Learning

Xiao-Ling Zhou, Zhemg Lee, Rui Xie, Lei Zou, Wei Ye, Shi-Kun Zhang

IEEE Transactions on Neural Networks and Learning Systems

DOI

2026

ASKD: Reinforcement Learning-Style Knowledge Distillation with Quality-Adaptive Skewness

Mingjie Zhang, Xiao-Ling Zhou, Yuxiao Luo, Yiyuan Liu, Shi-Kun Zhang, Wei Ye

AAAI Conference on Artificial Intelligence

DOI

2026

Dynamic Knowledge Transfer for Mitigating Spurious Correlations in Deep Learning

Xiao-Ling Zhou, Zhemg Lee, Wei Ye, Shi-Kun Zhang

International Journal of Computer Vision

DOI

2026

An Empirical Study on Influence-Based Pretraining Data Selection for Code Large Language Models

Chen Xing, Z. Zeng, Gexiang Fang, Rui Xie, Wei Ye, Shi-Kun Zhang

IEEE International Conference on Program Comprehension

DOI

2026

Thinking Twice Makes Large Language Models Safer and More Helpful

Yutao Mou, Yuxiao Luo, Shi-Kun Zhang, Wei Ye

Annual Meeting of the Association for Computational Linguistics

DOI

2026

SteerRM: Debiasing Reward Models via Sparse Autoencoders

Meng Sun, Zhuohao Yu, Weizheng Gu, Shi-Kun Zhang, Wei Ye

arXiv.org

DOI

2026

ToolHazard: Scaling Adversarial Environments for Security Evaluation and Alignment of LLM-based Agents

Yutao Mou, Pengfei Yang, Zhenfei Yin, Zhangchi Xue, Xiaotian Luan, Dingyao Yu, Tong Zhang, Shi-Kun Zhang, Wei Ye

2026

Adaptive Test-Time Compute Allocation for Block Diffusion Language Models in Complex Reasoning

Yi Lu, De-Yang Kong, Jianing Wang, Linsen Guo, Xue Wang, Qi Guo, Tao Gui, Xuan-Jing Huang, Wei Ye, Shi-Kun Zhang, Wei Wang

2026

OPE: Overcoming Information Saturation in Parallel Thinking via Outline-Guided Path Exploration

Qi Guo, Jianing Wang, De-Yang Kong, Xiang-Yu Xi, Jianfei Zhang, Yi Lu, Jin-Gang Wang, Wei Wang, Shi-Kun Zhang, Wei Ye

arXiv.org

DOI

2026

What Do Agents Learn from Trajectory-SFT: Semantics or Interfaces?

Weizheng Gu, Cheng-Ze Li, Zhuohao Yu, Mengyuan Sun, Zhi-Bang Yang, Wei Wang, Hongrui Jia, Shi-Kun Zhang, Wei Ye

arXiv.org

DOI

2026

Data Selection for Multi-turn Dialogue Instruction Tuning

Bo Li, Shi-Kun Zhang, Wei Ye

Annual Meeting of the Association for Computational Linguistics

DOI

2026

Joint Optimization of Training Data and Policy in RLHF

Zhuohao Yu, Jia-Li Zeng, Weizheng Gu, Mengyuan Sun, Yidong Wang, Fan-Dong Meng, Jie Zhou, Shi-Kun Zhang, Wei Ye

Annual Meeting of the Association for Computational Linguistics

DOI

2026

Exp-SWE-Agent: A Memory-Enhanced Coding Agent for Sequential Issue Resolution

Yi-Xin Li, Z. Zeng, Rui Xie, Wei Ye, Shi-Kun Zhang

SIGSOFT FSE Companion

DOI

2026

SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval

Yuxiao Luo, Da Li, Mingjie Zhang, Zhentao He, Shi-Kun Zhang, Wei Ye

arXiv.org

DOI

2026

GALA: Multimodal Graph Alignment for Bug Localization in Automated Program Repair

Zhuoyao Liu, Z. Zeng, Shutai Huang, Yang Liu, Shi-Kun Zhang, Wei Ye

arXiv.org

DOI

2026

ToolSafe: Enhancing Tool Invocation Safety of LLM-based agents via Proactive Step-level Guardrail and Feedback

Yutao Mou, Zhangchi Xue, Lijun Li, Peiyang Liu, Shi-Kun Zhang, Wei Ye, Jing Shao

Annual Meeting of the Association for Computational Linguistics

DOI

2026

LeLoRA: Learnable Low-Rank Adaptation of Large Language Models

Xiao-Ling Zhou, Mingjie Zhang, Zhemg Lee, Wei Ye, Shi-Kun Zhang

Annual Meeting of the Association for Computational Linguistics

DOI

2026

AttnCompress: Dynamic Attention-Guided Trajectory Compression for Software Engineering Agents

Z. Zeng, Yi-Xin Li, Rui Xie, Wei Ye, Shi-Kun Zhang

Proceedings of the ACM on Software Engineering

DOI

2026

NeuroSym-Cal: Bridging the Reasoning-Execution Gap in Code Generation via Hierarchical Calibration

Peiyang Liu, Yining Wang, Youru Li, Long Li, Zhi Cai, Wei Ye

Annual Meeting of the Association for Computational Linguistics

DOI

2026

Retrieval as Generation: A Unified Framework with Self-Triggered Information Planning

Bo Li, Ming-Da Wang, Gexiang Fang, Shi-Kun Zhang, Wei Ye

Annual Meeting of the Association for Computational Linguistics

DOI

2026

Every Coin Has Two Sides: On the Dual Nature of Generalization in On-Policy Distillation of Large Language Models

Zhaoyi Li, De-Yang Kong, Yuan Wei, Evan Yang, Ranran Shen, Mahardika Krisna Ihsani, Ming Yang, Wei Zhang, Chuan Hao, Jian Yang, Ran Tao, Bryan Dai, Shi-Kun Zhang, Wei Ye, Ying Wei, De-Fu Lian

2026

EVE: Verifiable Self-Evolution of MLLMs via Executable Visual Transformations

Yong Heng, Chao Jiang, Haneul Yang, Shi-Kun Zhang, Wei Ye

arXiv.org

DOI

2026

TrustRoboReward: Preference-Ordered Isotonic Score Editing for Multi-Paradigm Robot Reward Models

Yi-Dong Wang, Yan Zhan, Ziteng Feng, Zhen-Yu Cui, Zi-Yi Zhou, Ren-Zhao Liang, Jia-Xuan Zhu, Zilei Yang, Yiran Zhao, Z. Mao, Bofang Jia, Hanchu Ni, Chenggang Xie, Biao Liu, Yi Zhang, Yong Dai, Xiao-Zhu Ju, Wei Ye, Shi-Kun Zhang

2026

Instruction Data Selection via Answer Divergence

Bo Li, Ming-Da Wang, Shi-Kun Zhang, Wei Ye

Annual Meeting of the Association for Computational Linguistics

DOI

2026

A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and Solutions

Zhi-Yin Yu, Yuchen Mou, Jun-Cheng Yan, Junyu Luo, Chunchun Chen, Xing Wei, Yunhui Liu, Hongru Sun, Yuxing Zhang, Jun Xu, Ya-Tao Bian, Ming Zhang, Wei Ye, Tie-Ke He, Jie Yang, Guanjie Zheng, Zhong-Hai Wu, Bo Zhang, Lei Bai, Xiao Luo

Annual Meeting of the Association for Computational Linguistics

DOI

2026

Learning from Contrasts: Synthesizing Reasoning Paths from Diverse Search Trajectories

Peiyang Liu, Zhi-Rui Chen, Xi Wang, Di Liang, Youru Li, Zhipeng Cai, Wei Ye

Annual Meeting of the Association for Computational Linguistics

DOI

2026

REER-PT: Reverse-Engineered Reasoning for Perplexity-Guided Pre-training Data Augmentation

Haoran Que, Jia-Jun Shi, Ting Huang, Ren Pang, Jia-Heng Liu, Ge Zhang, Wenhao Huang, Shen Yan, Wei Ye, Shi-Kun Zhang

2026

Support Vector Rubrics: Closing the Gap Between Self-Generated and Human Rubrics

Meng-Yuan Sun, Yu Li, Zhuohao Yu, Shi-Kun Zhang, Wei Ye

arXiv.org

DOI

2026

Mitigating Rubric Interference in LLM Judges via On-Policy Self-Distillation

Dingyao Yu, Tong Zhang, Yutao Mou, Yunxiao Zhang, Wei Ye, Shi-Kun Zhang

2026

Harmful Content Is Not Enough: Continuation Framing Moderates In-Context Emergent Misalignment

Peiyang Liu, Xi Wang, Zi-Qiang Cui, Di Liang, Wei Ye

2026

Beyond Semantic Relevance: Counterfactual Risk Minimization for Robust Retrieval-Augmented Generation

Peiyang Liu, Qiang Yan, Zi-Qiang Cui, Di Liang, Xi Wang, Wei Ye

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2026

Chain of Evidence: Pixel-Level Visual Attribution for Iterative Retrieval-Augmented Generation

Peiyang Liu, Zi-Qiang Cui, Xi Wang, Di Liang, Wei Ye

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2026

The Laws of Context Allocation: Causal Measurement and Closed-Loop Orchestration in Generative Search

Peiyang Liu, Xi Wang, Di Liang, Wei Ye

2025

Modeling Uncertainty Trends for Timely Retrieval in Dynamic RAG

Bo Li, Tian Tian, Zhenghua Xu, Hao Cheng, Shi-Kun Zhang, Wei Ye

AAAI Conference on Artificial Intelligence

DOI

2025

Rethinking the Sampling Criteria in Reinforcement Learning for LLM Reasoning: A Competence-Difficulty Alignment Perspective

De-Yang Kong, Qi Guo, Xiang-Yu Xi, Wei Wang, Jin-Gang Wang, Xun-Liang Cai, Shi-Kun Zhang, Wei Ye

AAAI Conference on Artificial Intelligence

DOI

2025

Robustness to Spurious Correlations via Dynamic Knowledge Transfer

Xiao-Ling Zhou, Wei Ye, Zhemg Lee, Shi-Kun Zhang

International Joint Conference on Artificial Intelligence

DOI

2025

R3-Bench: Reproducible Real-world Reverse Engineering Dataset for Symbol Recovery

Muzhi Yu, Z. Zeng, Wei Ye, Jinan Sun, Xiaolong Bai, Shi-Kun Zhang

International Conference on Automated Software Engineering

DOI

2025

SWR-Bench: Assessing LLM Performance in Real-World Code Review Comment Generation

Z. Zeng, Rui-Kai Shi, Keke Han, Yi-Xin Li, Kai Sun, Yidong Wang, Zhuohao Yu, Rui Xie, Wei Ye, Shi-Kun Zhang

Proc. ACM Softw. Eng.

DOI

2025

Seed&Steer: Guiding Large Language Models with Compilable Prefix and Branch Signals for Unit Test Generation

Shuaiyu Zhou, Z. Zeng, Xiao-Ling Zhou, Rui Xie, Shi-Kun Zhang, Wei Ye

arXiv.org

DOI

2025

Can You Really Trust Code Copilot? Evaluating Large Language Models from a Code Security Perspective

Yutao Mou, Xiao Deng, Yuxiao Luo, Shi-Kun Zhang, Wei Ye

Annual Meeting of the Association for Computational Linguistics

DOI

2025

AutoRed: A Free-form Adversarial Prompt Generation Framework for Automated Red Teaming

Mu-Xi Diao, Yutao Mou, Keqing He, Hanbo Song, Lulu Zhao, Shi-Kun Zhang, Wei Ye, Kongming Liang, Zhan-Yu Ma

arXiv.org

DOI

2025

Valuing Training Data via Causal Inference for In-Context Learning

Xiao-Ling Zhou, Wei Ye, Zhemg Lee, Lei Zou, Shi-Kun Zhang

IEEE Transactions on Knowledge and Data Engineering

DOI

2025

SAEMark: Steering Personalized Multilingual LLM Watermarks with Sparse Autoencoders

Zhuohao Yu, Xin Jiang, Weizheng Gu, Yidong Wang, Qing-Song Wen, Shi-Kun Zhang, Wei Ye

Neural Information Processing Systems

DOI

2025

Benchmarking and Studying the LLM-based Agent System in End-to-End Software Development

Z. Zeng, Yi-Xin Li, Rui Xie, Wei Ye, Shi-Kun Zhang

arXiv.org

DOI

2025

VLM-R3: Region Recognition, Reasoning, and Refinement for Enhanced Multimodal Chain-of-Thought

Chaoya Jiang, Yongrui Heng, Wei Ye, Han-Wen Yang, Hai-Yang Xu, Ming-Shi Yan, Ji Zhang, Fei Huang, Shi-Kun Zhang

Neural Information Processing Systems

DOI

2025

Decoupling Safety into Orthogonal Subspace: Cost-Efficient and Performance-Preserving Alignment for Large Language Models

Yutao Mou, Xiao-Ling Zhou, Yuxiao Luo, Shi-Kun Zhang, Wei Ye

arXiv.org

DOI

2025

Mitigating spurious correlations with causal logit perturbation

Xiao-Ling Zhou, Wei Ye, Rui Xie, Shi-Kun Zhang

Information Sciences

DOI

2025

MPL: Multiple Programming Languages with Large Language Models for Information Extraction

Bo Li, Gexiang Fang, Wei Ye, Zheng-Hua Xu, Jing-Lei Zhang, Hao Cheng, Shi-Kun Zhang

Annual Meeting of the Association for Computational Linguistics

DOI

2025

SaRO: Enhancing LLM Safety through Reasoning-based Alignment

Yutao Mou, Yuxiao Luo, Shi-Kun Zhang, Wei Ye

arXiv.org

DOI

2025

Autoformalizer with Tool Feedback

Qi Guo, Jianing Wang, Jianfei Zhang, De-Yang Kong, Xiangzhou Huang, Xiangyu Xi, Wei Wang, Jin-Gang Wang, Xun-Liang Cai, Shi-Kun Zhang, Wei Ye

arXiv.org

DOI

2025

SampleMix: A Sample-wise Pre-training Data Mixing Strategey by Coordinating Data Quality and Diversity

Xiang-Yu Xi, De-Yang Kong, Jian Yang, Jia-Wei Yang, Zheng-Yu Chen, Wei Wang, Jin-Gang Wang, Xun-Liang Cai, Shi-Kun Zhang, Wei Ye

Conference on Empirical Methods in Natural Language Processing

DOI

2025

TrustJudge: Inconsistencies of LLM-as-a-Judge and How to Alleviate Them

Yidong Wang, Yunze Song, Tingyuan Zhu, Xuan-Wang Zhang, Zhuohao Yu, Hao Chen, Chi-Yu Song, Qiufeng Wang, Cunxiang Wang, Zhen Wu, Xin-Yu Dai, Yue Zhang, Wei Ye, Shi-Kun Zhang

arXiv.org

DOI

2025

Boosting Resilience of Large Language Models through Causality-Driven Robust Optimization

Xiao-Ling Zhou, Mingjie Zhang, Zhemg Lee, Yuncheng Hua, Chengli Xing, Wei Ye, F. Salim, Shi-Kun Zhang

Neural Information Processing Systems

DOI

2025

HaDeMiF: Hallucination Detection and Mitigation in Large Language Models

Xiao-Ling Zhou, Mingjie Zhang, Zhemg Lee, Wei Ye, Shi-Kun Zhang

International Conference on Learning Representations

2025

Scaling Latent Reasoning via Looped Language Models

Rui-Jie Zhu, Zi-Xuan Wang, Kai Hua, Tianyu Zhang, Zi-Niu Li, Haoran Que, Boyi Wei, Zixin Wen, Fan Yin, He Xing, Lu Li, Jia-Jun Shi, Kaijing Ma, Shanda Li, Taylor Kergan, Andrew K Smith, Xin Qu, Mude Hui, Bo-Hong Wu, Qi-Yang Min, Hongzhi Huang, Xun Zhou, Wei Ye, Jia-Heng Liu, Jian Yang, Yunfeng Shi, Cheng-Hua Lin, Enduo Zhao, Tian-Le Cai, Ge Zhang, Wenhao Huang, Y. Bengio, Jason K. Eshraghian

arXiv.org

DOI

2025

Reverse-Engineered Reasoning for Open-Ended Generation

Haozhe Wang, Haoran Que, Qi-Xin Xu, Minghao Liu, Wangchunshu Zhou, Jiazhan Feng, Wan-Jun Zhong, Wei Ye, Tong Yang, Wen-Hao Huang, Ge Zhang, Fang-Zhen Lin

arXiv.org

DOI

2025

Who Stole Your Data? A Method for Detecting Unauthorized RAG Theft

Peiyang Liu, Zi-Qiang Cui, Di Liang, Wei Ye

arXiv.org

DOI

2025

Queries Are Not Alone: Clustering Text Embeddings for Video Search

Peiyang Liu, Xi Wang, Zi-Qiang Cui, Wei Ye

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2025

Concept Matching with Agent for Out-of-Distribution Detection

Yuxiao Lee, Xiaofeng Cao, Jingcai Guo, Wei Ye, Qing Guo, Yi Chang

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2024

SymDPO: Boosting In-Context Learning of Large Multimodal Models with Symbol Demonstration Direct Preference Optimization

Hongrui Jia, Chaoya Jiang, Haiyang Xu, Wei Ye, Meng-Fan Dong, Ming-Shi Yan, Ji Zhang, Fei Huang, Shi-Kun Zhang

Computer Vision and Pattern Recognition

DOI

2024

Hal-Eval: A Universal and Fine-grained Hallucination Evaluation Framework for Large Vision Language Models

Chaoya Jiang, Hongrui Jia, Meng-Fan Dong, Wei Ye, Haiyang Xu, Ming-Shi Yan, Ji Zhang, Shi-Kun Zhang

ACM Multimedia

DOI

2024

Reasoning Through Execution: Unifying Process and Outcome Rewards for Code Generation

Zhuohao Yu, Weizheng Gu, Yidong Wang, Xin Jiang, Z. Zeng, Jin-Dong Wang, Wei Ye, Shi-Kun Zhang

International Conference on Machine Learning

2024

KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models

Zhuohao Yu, Chang Gao, Wen-Jin Yao, Yidong Wang, Wei Ye, Jin-Dong Wang, Xing Xie, Yue Zhang, Shi-Kun Zhang

Annual Meeting of the Association for Computational Linguistics

DOI

2024

What Makes a Good Order of Examples in In-Context Learning

Qi Guo, Leiyu Wang, Yidong Wang, Wei Ye, Shi-Kun Zhang

Annual Meeting of the Association for Computational Linguistics

DOI

2024

CodeShell Technical Report

Rui Xie, Z. Zeng, Zhuohao Yu, Chang Gao, Shi-Kun Zhang, Wei Ye

arXiv.org

DOI

2024

Boosting Model Resilience via Implicit Adversarial Data Augmentation

Xiao-Ling Zhou, Wei Ye, Zhemg Lee, Rui Xie, Shi-Kun Zhang

International Joint Conference on Artificial Intelligence

DOI

2024

A Survey on Evaluating Large Language Models in Code Generation Tasks

Li-Guo Chen, Qi Guo, Hongrui Jia, Z. Zeng, Xin Wang, Yi-Jiang Xu, Jian Wu, Yidong Wang, Qing Gao, Jin-Dong Wang, Wei Ye, Shi-Kun Zhang

arXiv.org

DOI

2024

Supportiveness-based Knowledge Rewriting for Retrieval-augmented Language Modeling

Zi-Le Qiao, Wei Ye, Yong Jiang, Tong Mo, Peng-Jun Xie, Weiping Li, Fei Huang, Shi-Kun Zhang

North American Chapter of the Association for Computational Linguistics

DOI

2024

Refining Corpora from a Model Calibration Perspective for Chinese Spelling Correction

Dingyao Yu, Yang An, Wei Ye, Xiongfeng Xiao, Shaoguang Mao, T. Ge, Shi-Kun Zhang

Annual Meeting of the Association for Computational Linguistics

DOI

2024

MaVEn: An Effective Multi-granularity Hybrid Visual Encoding Framework for Multimodal Large Language Model

Chaoya Jiang, Hongrui Jia, Haiyang Xu, Wei Ye, Meng-Fan Dong, Ming-Shi Yan, Ji Zhang, Fei Huang, Shi-Kun Zhang

Neural Information Processing Systems

DOI

2024

FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models

Zhuohao Yu, Chang Gao, Wen-Jin Yao, Yidong Wang, Z. Zeng, Wei Ye, Jin-Dong Wang, Yue Zhang, Shi-Kun Zhang

Conference on Empirical Methods in Natural Language Processing

DOI

2024

PURE: Aligning LLM via Pluggable Query Reformulation for Enhanced Helpfulness

Wen-Jin Yao, Yidong Wang, Zhuohao Yu, Rui Xie, Shi-Kun Zhang, Wei Ye

Conference on Empirical Methods in Natural Language Processing

DOI

2024

CoderUJB: An Executable and Unified Java Benchmark for Practical Programming Scenarios

Z. Zeng, Yidong Wang, Rui Xie, Wei Ye, Shi-Kun Zhang

International Symposium on Software Testing and Analysis

DOI

2024

Improving Long-Tail Vulnerability Detection Through Data Augmentation Based on Large Language Models

Xiao Deng, Fuyao Duan, Rui Xie, Wei Ye, Shi-Kun Zhang

IEEE International Conference on Software Maintenance and Evolution

DOI

2024

SG-Bench: Evaluating LLM Safety Generalization Across Diverse Tasks and Prompt Types

Yutao Mou, Shi-Kun Zhang, Wei Ye

Neural Information Processing Systems

DOI

2024

COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems

Hao Tian, Sourav Medya, Wei Ye

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2023

Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks

Bo Li, Wei Ye, Quan-ding Wang, Wen Zhao, Shi-Kun Zhang

AAAI Conference on Artificial Intelligence

DOI

2023

TiMix: Text-aware Image Mixing for Effective Vision-Language Pre-training

Chaoya Jiang, Wei Ye, Haiyang Xu, Qing-Hao Ye, Ming-Shi Yan, Ji Zhang, Shi-Kun Zhang

AAAI Conference on Artificial Intelligence

DOI

2023

Hallucination Augmented Contrastive Learning for Multimodal Large Language Model

Chaoya Jiang, Haiyang Xu, Meng-Fan Dong, Jia-Xin Chen, Wei Ye, Ming-Shi Yan, Qing-Hao Ye, Ji Zhang, Fei Huang, Shi-Kun Zhang

Computer Vision and Pattern Recognition

DOI

2023

TRIPS: Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection

Chaoya Jiang, Haiyang Xu, Chenliang Li, Ming-Shi Yan, Wei Ye, Shi-Kun Zhang, Bin Bi, Song-Fang Huang

Conference on Empirical Methods in Natural Language Processing

DOI

2023

BUS : Efficient and Effective Vision-language Pre-training with Bottom-Up Patch Summarization

Chaoya Jiang, Haiyang Xu, Wei Ye, Qing-Hao Ye, Chenliang Li, Ming-Shi Yan, Bin Bi, Shi-Kun Zhang, Fei Huang, Song-Fang Huang

IEEE International Conference on Computer Vision

DOI

2023

Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness

Bo Li, Gexiang Fang, Yang Yang, Quan-Sen Wang, Wei Ye, Wen Zhao, Shi-Kun Zhang

arXiv.org

DOI

2023

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization

Yidong Wang, Zhuohao Yu, Wen-Jin Yao, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jin-Dong Wang, Xing-Xu Xie, Wei Ye, Shi-Kun Zhang, Yue Zhang

International Conference on Learning Representations

DOI

2023

Improving Knowledge Graph Completion with Generative Hard Negative Mining

Zi-Le Qiao, Wei Ye, Dingyao Yu, Tong Mo, Weiping Li, Shi-Kun Zhang

Annual Meeting of the Association for Computational Linguistics

DOI

2023

COPA : Efficient Vision-Language Pre-training through Collaborative Object- and Patch-Text Alignment

Chaoya Jiang, Haiyang Xu, Wei Ye, Qing-Hao Ye, Chenliang Li, Ming-Shi Yan, Bin Bi, Shi-Kun Zhang, Feiyan Huang, Ji Zhang

ACM Multimedia

DOI

2021

Deep Embedded K-Means Clustering

Wengang Guo, Kaiyan Lin, Wei Ye

IEEE ... International Conference on Data Mining workshops

DOI

研究方向

机器学习数据挖掘VLA具身多模态大模型3D生成

此主页由公开资料整理，尚未经学者本人认领。