Time-Aware API Popularity Prediction via Heterogeneous Features. - Yao Wan 001; Liang Chen 001; Jian Wu 001; Qi Yu 001 (ICWS, 2015)

Incorporating Heterogeneous Information for Mashup Discovery with Consistent Regularization. - Yao Wan 001; Liang Chen 001; Qi Yu 001; Tingting Liang; Jian Wu 001 (PAKDD (1), 2016)

Exploiting Geographical Location for Team Formation in Social Coding Sites. - Yuqiang Han; Yao Wan 001; Liang Chen 001; Guandong Xu; Jian Wu 001 (PAKDD (1), 2017)

Improved Dynamic Memory Network for Dialogue Act Classification with Adversarial Training. - Yao Wan 001; Wenqiang Yan; Jianwei Gao; Zhou Zhao 001; Jian Wu 001; Philip S. Yu (IEEE BigData, 2018)

Improving automatic source code summarization via deep reinforcement learning. - Yao Wan 001; Zhou Zhao 001; Min Yang 007; Guandong Xu; Haochao Ying; Jian Wu 001; Philip S. Yu (ASE, 2018)

Product Title Refinement via Multi-Modal Generative Adversarial Learning. - Jianguo Zhang 005; Pengcheng Zou; Zhao Li 007; Yao Wan 001; Ye Liu 006; Xiuming Pan; Yu Gong; Philip S. Yu (CoRR, 2018)

Exploiting cross-source knowledge for warming up community question answering services. - Yao Wan 001; Guandong Xu; Liang Chen 001; Zhou Zhao 001; Jian Wu 001 (Neurocomputing, 2018)

SCSMiner: mining social coding sites for software developer recommendation with relevance propagation. - Yao Wan 001; Liang Chen 001; Guandong Xu; Zhou Zhao 001; Jie Tang 001; Jian Wu 001 (World Wide Web, 2018)

Competitive Multi-agent Deep Reinforcement Learning with Counterfactual Thinking. - Yue Wang 014; Yao Wan 001; Chenwei Zhang; Lu Bai 001; Lixin Cui; Philip S. Yu (ICDM, 2019)

Multi-modal Attention Network Learning for Semantic Source Code Retrieval. - Yao Wan 001; Jingdong Shu; Yulei Sui; Guandong Xu; Zhou Zhao 001; Jian Wu 001; Philip S. Yu (ASE, 2019)

Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce. - Jianguo Zhang 005; Pengcheng Zou; Zhao Li 007; Yao Wan 001; Xiuming Pan; Yu Gong; Philip S. Yu (NAACL-HLT (2), 2019)

Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference. - Jian-Guo Zhang 005; Kazuma Hashimoto; Wenhao Liu 003; Chien-Sheng Wu; Yao Wan 001; Philip S. Yu; Richard Socher; Caiming Xiong (EMNLP (1), 2020)

Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks. - Yue Wang 014; Zhuo Xu; Lu Bai 001; Yao Wan 001; Lixin Cui; Qian Zhao; Edwin R. Hancock; Philip S. Yu (ICPR, 2020)

Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking. - Jian-Guo Zhang 005; Kazuma Hashimoto; Chien-Sheng Wu; Yao Wan 001; Philip S. Yu; Richard Socher; Caiming Xiong (*SEM@COLING, 2020)

NaturalCC: A Toolkit to Naturalize the Source Code Corpus. - Yao Wan 001; Yang He; Jianguo Zhang 005; Yulei Sui; Hai Jin 001; Guandong Xu; Caiming Xiong; Philip S. Yu (CoRR, 2020)

Multi-view factorization machines for mobile app recommendation based on hierarchical attention. - Tingting Liang; Lei Zheng 001; Liang Chen 001; Yao Wan 001; Philip S. Yu; Jian Wu 001 (Knowl. Based Syst., 2020)

KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning. - Ye Liu 006; Yao Wan 001; Lifang He 001; Hao Peng 001; Philip S. Yu (AAAI, 2021)

Disentangled Code Representation Learning for Multiple Programming Languages. - Jingfeng Zhang; Haiwen Hong; Yin Zhang 006; Yao Wan 001; Ye Liu 006; Yulei Sui (ACL/IJCNLP (Findings), 2021)

Enriching Non-Autoregressive Transformer with Syntactic and Semantic Structures for Neural Machine Translation. - Ye Liu 006; Yao Wan 001; Jian-Guo Zhang 005; Wenting Zhao 006; Philip S. Yu (EACL, 2021)

Attend, Memorize and Generate: Towards Faithful Table-to-Text Generation in Few Shots. - Wenting Zhao 006; Ye Liu 006; Yao Wan 001; Philip S. Yu (EMNLP (Findings), 2021)

HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization. - Ye Liu 006; Jian-Guo Zhang 005; Yao Wan 001; Congying Xia; Lifang He 001; Philip S. Yu (EMNLP (1), 2021)

Fix-Filter-Fix: Intuitively Connect Any Models for Effective Bug Fixing. - Haiwen Hong; Jingfeng Zhang; Yin Zhang 006; Yao Wan 001; Yulei Sui (EMNLP (1), 2021)

Enriching Non-Autoregressive Transformer with Syntactic and SemanticStructures for Neural Machine Translation. - Ye Liu 006; Yao Wan 001; Jian-Guo Zhang 005; Wenting Zhao 006; Philip S. Yu (CoRR, 2021)

Are Pretrained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection. - Jianguo Zhang 005; Kazuma Hashimoto; Yao Wan 001; Ye Liu 006; Caiming Xiong; Philip S. Yu (CoRR, 2021)

FedHM: Efficient Federated Learning for Heterogeneous Models via Low-rank Factorization. - Dezhong Yao 002; Wanning Pan; Yao Wan 001; Hai Jin 001; Lichao Sun 001 (CoRR, 2021)

FCCA: Hybrid Code Representation for Functional Clone Detection Using Attention Networks. - Wei Hua 004; Yulei Sui; Yao Wan 001; Guangzhong Liu; Guandong Xu (IEEE Trans. Reliab., 2021)

DANets: Deep Abstract Networks for Tabular Data Classification and Regression. - Jintai Chen; Kuanlun Liao; Yao Wan 001; Danny Z. Chen; Jian Wu 001 (AAAI, 2022)

Are Pre-trained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection. - Jianguo Zhang 005; Kazuma Hashimoto; Yao Wan 001; Zhiwei Liu 001; Ye Liu 006; Caiming Xiong; Philip S. Yu (ConvAI@ACL, 2022)

Modeling Hierarchical Syntax Structure with Triplet Position for Source Code Summarization. - Juncai Guo 003; Jin Liu 016; Yao Wan 001; Li Li 029; Pingyi Zhou (ACL (1), 2022)

Compilable Neural Code Generation with Compiler Feedback. - Xin Wang 114; Yasheng Wang; Yao Wan 001; Fei Mi; Yitong Li; Pingyi Zhou; Jin Liu 016; Hao Wu 010; Xin Jiang 002; Qun Liu 001 (ACL (Findings), 2022)

Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding. - Jiahao Zhu; Daizong Liu; Pan Zhou 001; Xing Di; Yu Cheng 001; Song Yang 002; Wenzheng Xu; Zichuan Xu; Yao Wan 001; Lichao Sun 001; Zeyu Xiong (EMNLP (Findings), 2022)

NaturalCC: An Open-Source Toolkit for Code Intelligence. - Yao Wan 001; Yang He; Zhangqian Bi; Jianguo Zhang 005; Yulei Sui; Hongyu Zhang 002; Kazuma Hashimoto; Hai Jin 001; Guandong Xu; Caiming Xiong; Philip S. Yu (ICSE-Companion, 2022)

What Do They Capture? - A Structural Analysis of Pre-Trained Language Models for Source Code. - Yao Wan 001; Wei Zhao 040; Hongyu Zhang 002; Yulei Sui; Guandong Xu; Hai Jin 001 (ICSE, 2022)

CODE-MVP: Learning to Represent Source Code from Multiple Views with Contrastive Pre-Training. - Xin Wang 114; Yasheng Wang; Yao Wan 001; Jiawei Wang 003; Pingyi Zhou; Li Li 029; Hao Wu 010; Jin Liu 016 (NAACL-HLT (Findings), 2022)

You see what I want you to see: poisoning vulnerabilities in neural code search. - Yao Wan 001; Shijie Zhang; Hongyu Zhang 002; Yulei Sui; Guandong Xu; Dezhong Yao 002; Hai Jin 001; Lichao Sun 001 (ESEC/SIGSOFT FSE, 2022)

Cross-Language Binary-Source Code Matching with Intermediate Representations. - Yi Gui; Yao Wan 001; Hongyu Zhang 002; Huifang Huang; Yulei Sui; Guandong Xu; Zhiyuan Shao; Hai Jin 001 (SANER, 2022)

Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks. - Jibing Gong; Yao Wan 001; Ye Liu 006; Xuewen Li 005; Yi Zhao; Cheng Wang; Qing Li 026; Wenzheng Feng; Jie Tang 001 (CoRR, 2022)

Multi-triage: A multi-task learning framework for bug triage. - Thazin Win Win Aung; Yao Wan 001; Huan Huo; Yulei Sui (J. Syst. Softw., 2022)

FedBERT: When Federated Learning Meets Pre-training. - Yuanyishu Tian; Yao Wan 001; Lingjuan Lyu; Dezhong Yao 002; Hai Jin 001; Lichao Sun 001 (ACM Trans. Intell. Syst. Technol., 2022)

Modeling Sequential Listening Behaviors With Attentive Temporal Point Process for Next and Next New Music Recommendation. - Dongjing Wang; Xin Zhang 079; Yao Wan 001; Dongjin Yu; Guandong Xu; Shuiguang Deng (IEEE Trans. Multim., 2022)

XCode: Towards Cross-Language Code Representation with Large-Scale Pre-Training. - Zehao Lin; Guodun Li; Jingfeng Zhang; Yue Deng; Xiangji Zeng; Yin Zhang 006; Yao Wan 001 (ACM Trans. Softw. Eng. Methodol., 2022)

Reinforcement-Learning-Guided Source Code Summarization Using Hierarchical Attention. - Wenhua Wang; Yuqun Zhang; Yulei Sui; Yao Wan 001; Zhou Zhao 001; Jian Wu 001; Philip S. Yu; Guandong Xu (IEEE Trans. Software Eng., 2022)

SiMFy: A Simple Yet Effective Approach for Temporal Knowledge Graph Reasoning. - Zhengtao Liu; Lei Tan; Mengfan Li; Yao Wan 001; Hai Jin 001; Xuanhua Shi (EMNLP (Findings), 2023)

Named Entity Recognition via Machine Reading Comprehension: A Multi-Task Learning Approach. - Yibo Wang 001; Wenting Zhao 006; Yao Wan 001; Zhongfen Deng; Philip S. Yu (IJCNLP (Findings), 2023)

Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables. - Wenting Zhao 006; Ye Liu 006; Yao Wan 001; Yibo Wang 001; Zhongfen Deng; Philip S. Yu (IJCNLP (Findings), 2023)

SOR-TC: Self-attentive octave ResNet with temporal consistency for compressed video action recognition. - Junsan Zhang; Xiaomin Wang; Yao Wan 001; Leiquan Wang; Jian Wang 010; Philip S. Yu (Neurocomputing, 2023)

Diverse title generation for Stack Overflow posts with multiple-sampling-enhanced transformer. - Fengji Zhang; Jin Liu 016; Yao Wan 001; Xiao Yu 008; Xiao Liu 004; Jacky Keung (J. Syst. Softw., 2023)

Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks. - Jibing Gong; Yao Wan 001; Ye Liu 006; Xuewen Li 005; Yi Zhao; Cheng Wang; Yuting Lin; Xiaohan Fang; Wenzheng Feng; Jingyi Zhang; Jie Tang 001 (ACM Trans. Web, 2023)

Summarizing source code with Heterogeneous Syntax Graph and dual position. - Juncai Guo 003; Jin Liu 016; Xiao Liu 004; Yao Wan 001; Li Li 029 (Inf. Process. Manag., 2023)

Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback. - Zhangqian Bi; Yao Wan 001; Zheng Wang 001; Hongyu Zhang 002; Batu Guan; Fangxin Lu; Zili Zhang; Yulei Sui; Hai Jin 001; Xuanhua Shi (ACL (Findings), 2024)

KEEP CHATTING! An Attractive Dataset for Continuous Conversation Agents. - Yihe Wang; Jin Liu 016; Yao Wan 001; Yitong Li; Zifeng Liu; Weipeng Chen (ACL (Findings), 2024)

Enhancing Code Generation Performance of Smaller Models by Distilling the Reasoning Ability of LLMs. - Zhihong Sun; Chen Lyu 001; Bolun Li; Yao Wan 001; Hongyu Zhang 002; Ge Li 001; Zhi Jin (LREC/COLING, 2024)

NL2Formula: Generating Spreadsheet Formulas from Natural Language Queries. - Wei Zhao 040; Zhitao Hou; Siyuan Wu 001; Yang Gao 001; Haoyu Dong 001; Yao Wan 001; Hongyu Zhang 002; Yulei Sui; Haidong Zhang (EACL (Findings), 2024)

CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of Code. - Batu Guan; Yao Wan 001; Zhangqian Bi; Zheng Wang 001; Hongyu Zhang 002; Pan Zhou 001; Lichao Sun 001 (EMNLP (Findings), 2024)

MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use. - Yue Huang 001; Jiawen Shi; Yuan Li 032; Chenrui Fan; Siyuan Wu 001; Qihui Zhang; Yixin Liu 002; Pan Zhou 001; Yao Wan 001; Neil Zhenqiang Gong; Lichao Sun 001 (ICLR, 2024)

MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark. - Dongping Chen; Ruoxi Chen; Shilin Zhang; Yaochen Wang; Yinuo Liu; Huichi Zhou; Qihui Zhang; Yao Wan 001; Pan Zhou 001; Lichao Sun 001 (ICML, 2024)

Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation. - Zhaoyang Chu; Yao Wan 001; Qian Li 003; Yang Wu 010; Hongyu Zhang 002; Yulei Sui; Guandong Xu; Hai Jin 001 (ISSTA, 2024)

Sifting through the Chaff: On Utilizing Execution Feedback for Ranking the Generated Code Candidates. - Zhihong Sun; Yao Wan 001; Jia Li 012; Hongyu Zhang 002; Zhi Jin; Ge Li 001; Chen Lyu 001 (ASE, 2024)

kNN-ICL: Compositional Task-Oriented Parsing Generalization with Nearest Neighbor In-Context Learning. - Wenting Zhao 006; Ye Liu 006; Yao Wan 001; Yibo Wang 001; Qingyang Wu; Zhongfen Deng; Jiangshu Du; Shuaiqi Liu 002; Yunlong Xu; Philip S. Yu (NAACL-HLT, 2024)

LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected? - Qihui Zhang; Chujie Gao; Dongping Chen; Yue Huang 001; Yixin Huang; Zhenyang Sun; Shilin Zhang; Weiye Li; Zhengyan Fu; Yao Wan 001; Lichao Sun 001 (NAACL-HLT (Findings), 2024)

DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text. - Wenting Zhao 006; Ye Liu 006; Tong Niu; Yao Wan 001; Philip S. Yu; Shafiq Joty; Yingbo Zhou; Semih Yavuz (NAACL-HLT (Findings), 2024)

HonestLLM: Toward an Honest and Helpful Large Language Model. - Chujie Gao; Siyuan Wu 001; Yue Huang 001; Dongping Chen; Qihui Zhang; Zhengyan Fu; Yao Wan 001; Lichao Sun 001; Xiangliang Zhang 001 (NeurIPS, 2024)

Pandora's Box: Towards Building Universal Attackers against Real-World Large Vision-Language Models. - Daizong Liu; Mingyu Yang; Xiaoye Qu; Pan Zhou 001; Xiang Fang; Keke Tang; Yao Wan 001; Lichao Sun 001 (NeurIPS, 2024)

Hierarchical medical image report adversarial generation with hybrid discriminator. - Junsan Zhang; Ming Cheng; Qiaoqiao Cheng; Xiuxuan Shen; Yao Wan 001; Jie Zhu; Mengxuan Liu (Artif. Intell. Medicine, 2024)

LLM-as-a-Coauthor: The Challenges of Detecting LLM-Human Mixcase. - Chujie Gao; Dongping Chen; Qihui Zhang; Yue Huang 001; Yao Wan 001; Lichao Sun 001 (CoRR, 2024)

I Think, Therefore I am: Awareness in Large Language Models. - Yuan Li 032; Yue Huang 001; Yuli Lin; Siyuan Wu 001; Yao Wan 001; Lichao Sun 001 (CoRR, 2024)

NL2Formula: Generating Spreadsheet Formulas from Natural Language Queries. - Wei Zhao 040; Zhitao Hou; Siyuan Wu 001; Yan Gao 002; Haoyu Dong 001; Yao Wan 001; Hongyu Zhang 002; Yulei Sui; Haidong Zhang (CoRR, 2024)

VISION2UI: A Real-World Dataset with Layout for Code Generation from UI Designs. - Yi Gui; Zhen Li 050; Yao Wan 001; Yemin Shi 001; Hongyu Zhang 002; Yi Su; Shaoling Dong; Xing Zhou; Wenbin Jiang 001 (CoRR, 2024)

Does Your Neural Code Completion Model Use My Code? A Membership Inference Approach. - Yao Wan 001; Guanghua Wan; Shijie Zhang; Hongyu Zhang 002; Pan Zhou 001; Hai Jin 001; Lichao Sun 001 (CoRR, 2024)

The Best of Both Worlds: Toward an Honest and Helpful Large Language Model. - Chujie Gao; Qihui Zhang; Dongping Chen; Yue Huang 001; Siyuan Wu 001; Zhengyan Fu; Yao Wan 001; Xiangliang Zhang 001; Lichao Sun 001 (CoRR, 2024)

GUI-WORLD: A Dataset for GUI-oriented Multimodal LLM-based Agents. - Dongping Chen; Yue Huang 001; Siyuan Wu 001; Jingyu Tang; Liuyi Chen; Yilin Bai; Zhigang He; Chenlong Wang; Huichi Zhou; Yiqiang Li; Tianshuo Zhou; Yue Yu; et al. (CoRR, 2024)

ObscurePrompt: Jailbreaking Large Language Models via Obscure Input. - Yue Huang 001; Jingyu Tang; Dongping Chen; Bingda Tang; Yao Wan 001; Lichao Sun 001; Xiangliang Zhang 001 (CoRR, 2024)

UniGen: A Unified Framework for Textual Dataset Generation Using Large Language Models. - Siyuan Wu 001; Yue Huang 001; Chujie Gao; Dongping Chen; Qihui Zhang; Yao Wan 001; Tianyi Zhou 001; Xiangliang Zhang 001; Jianfeng Gao 001; Chaowei Xiao; Lichao Sun 001 (CoRR, 2024)

Self-Cognition in Large Language Models: An Exploratory Study. - Dongping Chen; Jiawen Shi; Yao Wan 001; Pan Zhou 001; Neil Zhenqiang Gong; Lichao Sun 001 (CoRR, 2024)

Interleaved Scene Graph for Interleaved Text-and-Image Generation Assessment. - Dongping Chen; Ruoxi Chen; Shu Pu; Zhaoyi Liu; Yanru Wu; Caixi Chen; Benlin Liu; Yue Huang 001; Yao Wan 001; Pan Zhou 001; Ranjay Krishna (CoRR, 2024)

Can Large Language Models Serve as Evaluators for Code Summarization? - Yang Wu 010; Yao Wan 001; Zhaoyang Chu; Wenting Zhao 006; Ye Liu 006; Hongyu Zhang 002; Xuanhua Shi; Philip S. Yu (CoRR, 2024)

Automated Data Visualization from Natural Language via Large Language Models: An Exploratory Study. - Yang Wu 010; Yao Wan 001; Hongyu Zhang 002; Yulei Sui; Wucai Wei; Wei Zhao 040; Guandong Xu; Hai Jin 001 (Proc. ACM Manag. Data, 2024)

IRCoCo: Immediate Rewards-Guided Deep Reinforcement Learning for Code Completion. - Bolun Li; Zhihong Sun; Tao Huang; Hongyu Zhang 002; Yao Wan 001; Ge Li 001; Zhi Jin; Chen Lyu 001 (Proc. ACM Softw. Eng., 2024)

FedGKD: Toward Heterogeneous Federated Learning via Global Knowledge Distillation. - Dezhong Yao 002; Wanning Pan; Yutong Dai 002; Yao Wan 001; Xiaofeng Ding 001; Chen Yu 003; Hai Jin 001; Zheng Xu 002; Lichao Sun 001 (IEEE Trans. Computers, 2024)

Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus. - Yue Wang 014; Yao Wan 001; Lu Bai 001; Lixin Cui; Zhuo Xu; Ming Li 065; Philip S. Yu; Edwin R. Hancock (IEEE Trans. Knowl. Data Eng., 2024)

PyScribe-Learning to describe python code. - Juncai Guo 003; Jin Liu 016; Xiao Liu 004; Yao Wan 001; Yanjie Zhao 001; Li Li 029; Kui Liu 001; Jacques Klein; Tegawendé F. Bissyandé (Softw. Pract. Exp., 2024)

Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit. - Yao Wan 001; Zhangqian Bi; Yang He; Jianguo Zhang 005; Hongyu Zhang 002; Yulei Sui; Guandong Xu; Hai Jin 001; Philip S. Yu (ACM Comput. Surv., 2024)

The Impact of Large Language Models in Academia: from Writing to Speaking. - Mingmeng Geng; Caixi Chen; Yanru Wu; Yao Wan 001; Pan Zhou 001; Dongping Chen (ACL (Findings), 2025)

nvAgent: Automated Data Visualization from Natural Language via Collaborative Agent Workflow. - Geliang Ouyang; Jingyao Chen; Zhihe Nie; Yi Gui; Yao Wan 001; Hongyu Zhang 002; Dongping Chen (ACL (1), 2025)

ProvBench: A Benchmark of Legal Provision Recommendation for Contract Auto-Reviewing. - Xiuxuan Shen; Zhongyuan Jiang; Junsan Zhang; Junxiao Han; Yao Wan 001; Chengjie Guo; Bingcheng Liu; Jie Wu; Renxiang Li; Philip S. Yu (ACL (1), 2025)

Sign2Vis: Automated Data Visualization from Sign Language. - Yao Wan 001; Yang Wu 010; Zhen Li 050; Guobiao Zhang; Hongyu Zhang 002; Zhou Zhao 001; Hai Jin 001; April Wang (ACL (Findings), 2025)

Interleaved Scene Graphs for Interleaved Text-and-Image Generation Assessment. - Dongping Chen; Ruoxi Chen; Shu Pu; Zhaoyi Liu; Yanru Wu; Caixi Chen; Benlin Liu; Yue Huang 001; Yao Wan 001; Pan Zhou 001; Ranjay Krishna (ICLR, 2025)

GUI-World: A Video Benchmark and Dataset for Multimodal GUI-oriented Understanding. - Dongping Chen; Yue Huang 001; Siyuan Wu 001; Jingyu Tang; Huichi Zhou; Qihui Zhang; Zhigang He; Yilin Bai; Chujie Gao; Liuyi Chen; Yiqiang Li; Chenlong Wang; et al. (ICLR, 2025)

DataGen: Unified Synthetic Dataset Generation via Large Language Models. - Yue Huang 001; Siyuan Wu 001; Chujie Gao; Dongping Chen; Qihui Zhang; Yao Wan 001; Tianyi Zhou 001; Chaowei Xiao; Jianfeng Gao 001; Lichao Sun 001; Xiangliang Zhang 001 (ICLR, 2025)

How to Select Pre-Trained Code Models for Reuse? A Learning Perspective. - Zhangqian Bi; Yao Wan 001; Zhaoyang Chu; Yufei Hu; Junyi Zhang; Hongyu Zhang 002; Guandong Xu; Hai Jin 001 (SANER, 2025)

UICopilot: Automating UI Synthesis via Hierarchical Code Generation from Webpage Designs. - Yi Gui; Yao Wan 001; Zhen Li 050; Zhongyi Zhang; Dongping Chen; Hongyu Zhang 002; Yi Su; Bohua Chen; Xing Zhou; Wenbin Jiang 001; Xiangliang Zhang 001 (WWW, 2025)

WebCode2M: A Real-World Dataset for Code Generation from Webpage Designs. - Yi Gui; Zhen Li 050; Yao Wan 001; Yemin Shi 001; Hongyu Zhang 002; Bohua Chen; Yi Su; Dongping Chen; Siyuan Wu 001; Xing Zhou; Wenbin Jiang 001; Hai Jin 001; et al. (WWW, 2025)

FedHM: Efficient federated learning for heterogeneous models via low-rank factorization. - Dezhong Yao 002; Wanning Pan; Yuexin Shi; Michael J. O'Neill 002; Yutong Dai 002; Yao Wan 001; Peilin Zhao; Hai Jin 001; Limin Sun 001 (Artif. Intell., 2025)

HeSQLNet: A Heterogeneous graph neural network for SQL-to-Text generation. - Junsan Zhang; Ao Lu; Junxiao Han; Yang Zhu; Yudie Yan; Juncai Guo 003; Yao Wan 001 (Inf. Softw. Technol., 2025)

Dual-level semantic collaboration and inference network for medical image report generation. - Junsan Zhang; Yuxue Liu; Mingwen Shao; Chenglizhao Chen; Zixuan Wang; Junliang Li; Yao Wan 001; Philip S. Yu (Knowl. Based Syst., 2025)

Can Large Language Models Understand Intermediate Representations? - Hailong Jiang; Jianfeng Zhu; Yao Wan 001; Bo Fang 002; Hongyu Zhang 002; Ruoming Jin; Qiang Guan (CoRR, 2025)

CODESYNC: Synchronizing Large Language Models with Dynamic Code Evolution at Scale. - Chenlong Wang; Zhaoyang Chu; Zhengxiang Cheng; Xuyi Yang; Kaiyue Qiu; Yao Wan 001; Zhou Zhao 001; Xuanhua Shi; Dongping Chen (CoRR, 2025)

CrowdSelect: Synthetic Instruction Data Selection with Multi-LLM Wisdom. - Yisen Li; Lingfeng Yang; Wenxuan Shen; Pan Zhou 001; Yao Wan 001; Weiwei Lin; Dongping Chen (CoRR, 2025)

Wikipedia in the Era of LLMs: Evolution and Risks. - Siming Huang; Yuliang Xu; Mingmeng Geng; Yao Wan 001; Dongping Chen (CoRR, 2025)

Judge Anything: MLLM as a Judge Across Any Modality. - Shu Pu; Yaochen Wang; Dongping Chen; Yuhang Chen; Guohao Wang; Qi Qin; Zhongyi Zhang; Zhiyuan Zhang; Zetong Zhou; Shuang Gong; Yi Gui; Yao Wan 001; et al. (CoRR, 2025)

LiveVQA: Live Visual Knowledge Seeking. - Mingyang Fu; Yuyang Peng; Benlin Liu; Yao Wan 001; Dongping Chen (CoRR, 2025)

Bash command comment generation via multi-scale heterogeneous feature fusion. - Junsan Zhang; Yang Zhu; Ao Lu; Yudie Yan; Yao Wan 001 (Autom. Softw. Eng., 2025)

code_transformed: The Influence of Large Language Models on Code. - Yuliang Xu; Siming Huang; Mingmeng Geng; Yao Wan 001; Xuanhua Shi; Dongping Chen (CoRR, 2025)

WakenLLM: Evaluating Reasoning Potential and Stability in LLMs via Fine-Grained Benchmarking. - Zipeng Ling; Yuehao Tang; Shuliang Liu; Junqi Yang; Shenghong Fu; Chen Huang; Kejia Huang; Yao Wan 001; Zhichao Hou; Xuming Hu (CoRR, 2025)

LaTCoder: Converting Webpage Design to Code with Layout-as-Thought. - Yi Gui; Zhen Li 050; Zhongyi Zhang; Guohao Wang; Tianpeng Lv; Gaoyang Jiang; Yi Liu 069; Dongping Chen; Yao Wan 001; Hongyu Zhang 002; Wenbin Jiang 001; Xuanhua Shi; et al. (CoRR, 2025)

Are We on the Right Way for Assessing Document Retrieval-Augmented Generation? - Wenxuan Shen; Mingjia Wang; Yaochen Wang; Dongping Chen; Junjie Yang; Yao Wan 001; Weiwei Lin (CoRR, 2025)

MultiRef: Controllable Image Generation with Multiple Visual References. - Ruoxi Chen; Dongping Chen; Siyuan Wu 001; Sinan Wang; Shiyun Lang; Petr Sushko; Gaoyang Jiang; Yao Wan 001; Ranjay Krishna (CoRR, 2025)

LibRec: Benchmarking Retrieval-Augmented LLMs for Library Migration Recommendations. - Junxiao Han; Yarong Wang 002; Xiaodong Gu; Cuiyun Gao 001; Yao Wan 001; Song Han; David Lo 001; Shuiguang Deng (CoRR, 2025)

E2CNN: entity-type-enriched cascaded neural network for Chinese financial relation extraction. - Mengfan Li; Xuanhua Shi; Chenqi Qiao; Xiao Huang; Weihao Wang; Yao Wan 001; Teng Zhang 001; Hai Jin 001 (Frontiers Comput. Sci., 2025)

Comprehensive Architecture Search for Deep Graph Neural Networks. - Yukang Dong; Fanxing Pan; Yi Gui; Wenbin Jiang 001; Yao Wan 001; Ran Zheng; Hai Jin 001 (IEEE Trans. Big Data, 2025)