Yao Wan

173 papers A* 22A 7B 1Journal 107Unranked 36
YearRankTypeTitle / Venue / Authors
2026 A* conf
Are We on the Right Way to Assess Document Retrieval-Augmented Generation?
AAAI
Wenxuan Shen, Mingjia Wang, Yaochen Wang, Dongping Chen, Junjie Yang, Yao Wan, Weiwei Lin
2026 — conf
CrowdSelect: SyntheticInstruction Data Selection with Multi-LLM Wisdom.
EACL (Findings)
Yisen Li, Lingfeng Yang, Wenxuan Shen, Pan Zhou, Yao Wan, Weiwei Lin, Dongping Chen
2026 J jnl
Does Your Neural Code Completion Model Use My Code? A Membership Inference Approach.
ACM Trans. Softw. Eng. Methodol.
Yao Wan, Guanghua Wan, Shijie Zhang, Hongyu Zhang, Yulei Sui, Pan Zhou, Hai Jin, Lichao Sun
2026 A conf
StepMIND: A Visual Framework for Stepwise, Multimodal, and Bidirectional Explanations of AI-Generated Data Analysis Pipeline.
IUI
Yang Wu, Yao Wan, Mennatallah El-Assady, April Yi Wang
2026 J jnl
Wikipedia in the Era of LLMs: Evolution and Risks.
Trans. Mach. Learn. Res.
Siming Huang, Yuliang Xu, Mingmeng Geng, Yao Wan, Dongping Chen
2026 — conf
code-transformed: The Influence of Large Language Models on Code.
EACL (Findings)
Yuliang Xu, Siming Huang, Mingmeng Geng, Yao Wan, Xuanhua Shi, Dongping Chen
2025 J jnl
AdapCP: Collaborative Inference with Adaptive CNN Partition on Distributed Edge Servers.
ACM Trans. Auton. Adapt. Syst.
Sifan Zhao, Dezhong Yao, Yao Wan, Gang Wu, Hai Jin
2025 J jnl
Are We on the Right Way for Assessing Document Retrieval-Augmented Generation?
CoRR
Wenxuan Shen, Mingjia Wang, Yaochen Wang, Dongping Chen, Junjie Yang, Yao Wan, Weiwei Lin
2025 J jnl
Are We on the Right Way to Assessing LLM-as-a-Judge?
CoRR
Yuanning Feng, Sinan Wang, Zhengxiang Cheng, Yao Wan, Dongping Chen
2025 J jnl
Bash command comment generation via multi-scale heterogeneous feature fusion.
Autom. Softw. Eng.
Junsan Zhang, Yang Zhu, Ao Lu, Yudie Yan, Yao Wan
2025 J jnl
Bridging Code Graphs and Large Language Models for Better Code Understanding.
CoRR
Zeqi Chen, Zhaoyang Chu, Yi Gui, Feng Guo, Yao Wan, Chuan Shi
2025 J jnl
CODESYNC: Synchronizing Large Language Models with Dynamic Code Evolution at Scale.
CoRR
Chenlong Wang, Zhaoyang Chu, Zhengxiang Cheng, Xuyi Yang, Kaiyue Qiu, Yao Wan, Zhou Zhao, Xuanhua Shi, Dongping Chen
2025 J jnl
Can Large Language Models Serve as Evaluators for Code Summarization?
IEEE Trans. Software Eng.
Yang Wu, Yao Wan, Zhaoyang Chu, Wenting Zhao, Ye Liu, Hongyu Zhang, Xuanhua Shi, Hai Jin, Philip S. Yu
2025 A* conf
Can Large Language Models Understand Intermediate Representations in Compilers?
ICML
Hailong Jiang, Jianfeng Zhu, Yao Wan, Bo Fang, Hongyu Zhang, Ruoming Jin, Qiang Guan
2025 J jnl
Can Large Language Models Understand Intermediate Representations?
CoRR
Hailong Jiang, Jianfeng Zhu, Yao Wan, Bo Fang, Hongyu Zhang, Ruoming Jin, Qiang Guan
2025 A* conf
CodeSync: Synchronizing Large Language Models with Dynamic Code Evolution at Scale.
ICML
Chenlong Wang, Zhaoyang Chu, Zhengxiang Cheng, Xuyi Yang, Kaiyue Qiu, Yao Wan, Zhou Zhao, Xuanhua Shi, Hai Jin, Dongping Chen
2025 J jnl
Comprehensive Architecture Search for Deep Graph Neural Networks.
IEEE Trans. Big Data
Yukang Dong, Fanxing Pan, Yi Gui, Wenbin Jiang, Yao Wan, Ran Zheng, Hai Jin
2025 J jnl
CrowdSelect: Synthetic Instruction Data Selection with Multi-LLM Wisdom.
CoRR
Yisen Li, Lingfeng Yang, Wenxuan Shen, Pan Zhou, Yao Wan, Weiwei Lin, Dongping Chen
2025 A* conf
DataGen: Unified Synthetic Dataset Generation via Large Language Models.
ICLR
Yue Huang, Siyuan Wu, Chujie Gao, Dongping Chen, Qihui Zhang, Yao Wan, Tianyi Zhou, Chaowei Xiao, Jianfeng Gao, Lichao Sun, Xiangliang Zhang
2025 A* conf
Dataflow-Guided Neuro-Symbolic Language Models for Type Inference.
ICML
Ge Li, Yao Wan, Hongyu Zhang, Zhou Zhao, Wenbin Jiang, Xuanhua Shi, Hai Jin, Zheng Wang
2025 A* conf
Detecting Intent Drift in Continuous Conversation via Temporal Transition Accumulation.
ICDM
Yue Wang, Dehang Fu, Jie Tan, Junxiao Han, Yao Wan, Lixin Cui, Lu Bai, Philip S. Yu
2025 J jnl
Dual-level semantic collaboration and inference network for medical image report generation.
Knowl. Based Syst.
Junsan Zhang, Yuxue Liu, Mingwen Shao, Chenglizhao Chen, Zixuan Wang, Junliang Li, Yao Wan, Philip S. Yu
2025 J jnl
E
Frontiers Comput. Sci.
Mengfan Li, Xuanhua Shi, Chenqi Qiao, Xiao Huang, Weihao Wang, Yao Wan, Teng Zhang, Hai Jin
2025 J jnl
Ensembling Large Language Models for Code Vulnerability Detection: An Empirical Evaluation.
CoRR
Zhihong Sun, Jia Li, Yao Wan, Chuanyi Li, Hongyu Zhang, Zhi Jin, Ge Li, Hong Liu, Chen Lyu, Songlin Hu
2025 J jnl
FedHM: Efficient federated learning for heterogeneous models via low-rank factorization.
Artif. Intell.
Dezhong Yao, Wanning Pan, Yuexin Shi, Michael J. O'Neill, Yutong Dai, Yao Wan, Peilin Zhao, Hai Jin, Limin Sun
2025 J jnl
From LLMs to Agents: A Comparative Evaluation of LLMs and LLM-based Agents in Security Patch Detection.
CoRR
Junxiao Han, Zheng Yu, Lingfeng Bao, Jiakun Liu, Yao Wan, Jianwei Yin, Shuiguang Deng, Song Han
2025 A* conf
GUI-World: A Video Benchmark and Dataset for Multimodal GUI-oriented Understanding.
ICLR
Dongping Chen, Yue Huang, Siyuan Wu, Jingyu Tang, Huichi Zhou, Qihui Zhang, Zhigang He, Yilin Bai, Chujie Gao, Liuyi Chen, Yiqiang Li, Chenlong Wang, Yue Yu, Tianshuo Zhou, Zhen Li, Yi Gui, Yao Wan, Pan Zhou, Jianfeng Gao, Lichao Sun
2025 J jnl
HeSQLNet: A Heterogeneous graph neural network for SQL-to-Text generation.
Inf. Softw. Technol.
Junsan Zhang, Ao Lu, Junxiao Han, Yang Zhu, Yudie Yan, Juncai Guo, Yao Wan
2025 A conf
How to Select Pre-Trained Code Models for Reuse? A Learning Perspective.
SANER
Zhangqian Bi, Yao Wan, Zhaoyang Chu, Yufei Hu, Junyi Zhang, Hongyu Zhang, Guandong Xu, Hai Jin
2025 J jnl
How to Select Pre-Trained Code Models for Reuse? A Learning Perspective.
CoRR
Zhangqian Bi, Yao Wan, Zhaoyang Chu, Yufei Hu, Junyi Zhang, Hongyu Zhang, Guandong Xu, Hai Jin
2025 J jnl
Instruction Boundary: Quantifying Biases in LLM Reasoning under Various Coverage.
CoRR
Zipeng Ling, Yuehao Tang, Chen Huang, Shuliang Liu, Gaoyang Jiang, Shenghong Fu, Junqi Yang, Yao Wan, Jiawan Zhang, Kejia Huang, Xuming Hu
2025 A* conf
Interleaved Scene Graphs for Interleaved Text-and-Image Generation Assessment.
ICLR
Dongping Chen, Ruoxi Chen, Shu Pu, Zhaoyi Liu, Yanru Wu, Caixi Chen, Benlin Liu, Yue Huang, Yao Wan, Pan Zhou, Ranjay Krishna
2025 A conf
Jailbreaking LLMs Through Alignment Vulnerabilities in Out-of-Distribution Settings.
CIKM
Yue Huang, Jingyu Tang, Dongping Chen, Bingda Tang, Yao Wan, Lichao Sun, Philip S. Yu, Xiangliang Zhang
2025 — conf
Judge Anything: MLLM as a Judge Across Any Modality.
KDD (2)
Shu Pu, Yaochen Wang, Dongping Chen, Yuhang Chen, Guohao Wang, Qi Qin, Zhongyi Zhang, Zhiyuan Zhang, Zetong Zhou, Shuang Gong, Yi Gui, Yao Wan, Philip S. Yu
2025 J jnl
Judge Anything: MLLM as a Judge Across Any Modality.
CoRR
Shu Pu, Yaochen Wang, Dongping Chen, Yuhang Chen, Guohao Wang, Qi Qin, Zhongyi Zhang, Zhiyuan Zhang, Zetong Zhou, Shuang Gong, Yi Gui, Yao Wan, Philip S. Yu
2025 — conf
LaTCoder: Converting Webpage Design to Code with Layout-as-Thought.
KDD (2)
Yi Gui, Zhen Li, Zhongyi Zhang, Guohao Wang, Tianpeng Lv, Gaoyang Jiang, Yi Liu, Dongping Chen, Yao Wan, Hongyu Zhang, Wenbin Jiang, Xuanhua Shi, Hai Jin
2025 J jnl
LaTCoder: Converting Webpage Design to Code with Layout-as-Thought.
CoRR
Yi Gui, Zhen Li, Zhongyi Zhang, Guohao Wang, Tianpeng Lv, Gaoyang Jiang, Yi Liu, Dongping Chen, Yao Wan, Hongyu Zhang, Wenbin Jiang, Xuanhua Shi, Hai Jin
2025 J jnl
LibRec: Benchmarking Retrieval-Augmented LLMs for Library Migration Recommendations.
CoRR
Junxiao Han, Yarong Wang, Xiaodong Gu, Cuiyun Gao, Yao Wan, Song Han, David Lo, Shuiguang Deng
2025 J jnl
LiveVQA: Live Visual Knowledge Seeking.
CoRR
Mingyang Fu, Yuyang Peng, Benlin Liu, Yao Wan, Dongping Chen
2025 A* conf
MultiRef: Controllable Image Generation with Multiple Visual References.
ACM Multimedia
Ruoxi Chen, Dongping Chen, Siyuan Wu, Sinan Wang, Shiyun Lang, Peter Sushko, Gaoyang Jiang, Yao Wan, Ranjay Krishna
2025 J jnl
MultiRef: Controllable Image Generation with Multiple Visual References.
CoRR
Ruoxi Chen, Dongping Chen, Siyuan Wu, Sinan Wang, Shiyun Lang, Petr Sushko, Gaoyang Jiang, Yao Wan, Ranjay Krishna
2025 J jnl
Paper2Web: Let's Make Your Paper Alive!
CoRR
Yuhang Chen, Tianpeng Lv, Siyi Zhang, Yixiang Yin, Yao Wan, Philip S. Yu, Dongping Chen
2025 — conf
ProvBench: A Benchmark of Legal Provision Recommendation for Contract Auto-Reviewing.
ACL (1)
Xiuxuan Shen, Zhongyuan Jiang, Junsan Zhang, Junxiao Han, Yao Wan, Chengjie Guo, Bingcheng Liu, Jie Wu, Renxiang Li, Philip S. Yu
2025 J jnl
Reinforced Visual Perception with Tools.
CoRR
Zetong Zhou, Dongping Chen, Zixian Ma, Zhihan Hu, Mingyang Fu, Sinan Wang, Yao Wan, Zhou Zhao, Ranjay Krishna
2025 J jnl
Scrub It Out! Erasing Sensitive Memorization in Code Language Models via Machine Unlearning.
CoRR
Zhaoyang Chu, Yao Wan, Zhikun Zhang, Di Wang, Zhou Yang, Hongyu Zhang, Pan Zhou, Xuanhua Shi, Hai Jin, David Lo
2025 — conf
Sign2Vis: Automated Data Visualization from Sign Language.
ACL (Findings)
Yao Wan, Yang Wu, Zhen Li, Guobiao Zhang, Hongyu Zhang, Zhou Zhao, Hai Jin, April Yi Wang
2025 J jnl
Text-augmented long-term relation dependency learning for knowledge graph representation.
High Confid. Comput.
Quntao Zhu, Mengfan Li, Yuanjun Gao, Yao Wan, Xuanhua Shi, Hai Jin
2025 — conf
The Impact of Large Language Models in Academia: from Writing to Speaking.
ACL (Findings)
Mingmeng Geng, Caixi Chen, Yanru Wu, Yao Wan, Pan Zhou, Dongping Chen
2025 A* conf
UICopilot: Automating UI Synthesis via Hierarchical Code Generation from Webpage Designs.
WWW
Yi Gui, Yao Wan, Zhen Li, Zhongyi Zhang, Dongping Chen, Hongyu Zhang, Yi Su, Bohua Chen, Xing Zhou, Wenbin Jiang, Xiangliang Zhang
2025 J jnl
UICopilot: Automating UI Synthesis via Hierarchical Code Generation from Webpage Designs.
CoRR
Yi Gui, Zhen Li, Zhongyi Zhang, Yao Wan, Dongping Chen, Hongyu Zhang, Yi Su, Bohua Chen, Xing Zhou, Wenbin Jiang, Xiangliang Zhang
2025 J jnl
WAR-Re: Web API Recommendation with Semantic Reasoning.
CoRR
Zishuo Xu, Dezhong Yao, Yao Wan
2025 J jnl
WakenLLM: Evaluating Reasoning Potential and Stability in LLMs via Fine-Grained Benchmarking.
CoRR
Zipeng Ling, Yuehao Tang, Shuliang Liu, Junqi Yang, Shenghong Fu, Chen Huang, Kejia Huang, Yao Wan, Zhichao Hou, Xuming Hu
2025 A* conf
WebCode2M: A Real-World Dataset for Code Generation from Webpage Designs.
WWW
Yi Gui, Zhen Li, Yao Wan, Yemin Shi, Hongyu Zhang, Bohua Chen, Yi Su, Dongping Chen, Siyuan Wu, Xing Zhou, Wenbin Jiang, Hai Jin, Xiangliang Zhang
2025 J jnl
Wikipedia in the Era of LLMs: Evolution and Risks.
CoRR
Siming Huang, Yuliang Xu, Mingmeng Geng, Yao Wan, Dongping Chen
2025 J jnl
code_transformed: The Influence of Large Language Models on Code.
CoRR
Yuliang Xu, Siming Huang, Mingmeng Geng, Yao Wan, Xuanhua Shi, Dongping Chen
2025 — conf
nvAgent: Automated Data Visualization from Natural Language via Collaborative Agent Workflow.
ACL (1)
Geliang Ouyang, Jingyao Chen, Zhihe Nie, Yi Gui, Yao Wan, Hongyu Zhang, Dongping Chen
2025 J jnl
nvAgent: Automated Data Visualization from Natural Language via Collaborative Agent Workflow.
CoRR
Geliang Ouyang, Jingyao Chen, Zhihe Nie, Yi Gui, Yao Wan, Hongyu Zhang, Dongping Chen
2024 J jnl
Automated Data Visualization from Natural Language via Large Language Models: An Exploratory Study.
CoRR
Yang Wu, Yao Wan, Hongyu Zhang, Yulei Sui, Wucai Wei, Wei Zhao, Guandong Xu, Hai Jin
2024 J jnl
Automated Data Visualization from Natural Language via Large Language Models: An Exploratory Study.
Proc. ACM Manag. Data
Yang Wu, Yao Wan, Hongyu Zhang, Yulei Sui, Wucai Wei, Wei Zhao, Guandong Xu, Hai Jin
2024 J jnl
Can Large Language Models Serve as Evaluators for Code Summarization?
CoRR
Yang Wu, Yao Wan, Zhaoyang Chu, Wenting Zhao, Ye Liu, Hongyu Zhang, Xuanhua Shi, Philip S. Yu
2024 — conf
CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of Code.
EMNLP (Findings)
Batu Guan, Yao Wan, Zhangqian Bi, Zheng Wang, Hongyu Zhang, Pan Zhou, Lichao Sun
2024 J jnl
CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of Code.
CoRR
Batu Guan, Yao Wan, Zhangqian Bi, Zheng Wang, Hongyu Zhang, Pan Zhou, Lichao Sun
2024 J jnl
Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus.
IEEE Trans. Knowl. Data Eng.
Yue Wang, Yao Wan, Lu Bai, Lixin Cui, Zhuo Xu, Ming Li, Philip S. Yu, Edwin R. Hancock
2024 — conf
DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text.
NAACL-HLT (Findings)
Wenting Zhao, Ye Liu, Tong Niu, Yao Wan, Philip S. Yu, Shafiq Joty, Yingbo Zhou, Semih Yavuz
2024 J jnl
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit.
CoRR
Yao Wan, Yang He, Zhangqian Bi, Jianguo Zhang, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin, Philip S. Yu
2024 J jnl
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit.
ACM Comput. Surv.
Yao Wan, Zhangqian Bi, Yang He, Jianguo Zhang, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin, Philip S. Yu
2024 J jnl
Does Your Neural Code Completion Model Use My Code? A Membership Inference Approach.
CoRR
Yao Wan, Guanghua Wan, Shijie Zhang, Hongyu Zhang, Pan Zhou, Hai Jin, Lichao Sun
2024 — conf
Enhancing Code Generation Performance of Smaller Models by Distilling the Reasoning Ability of LLMs.
LREC/COLING
Zhihong Sun, Chen Lyu, Bolun Li, Yao Wan, Hongyu Zhang, Ge Li, Zhi Jin
2024 J jnl
Enhancing Code Generation Performance of Smaller Models by Distilling the Reasoning Ability of LLMs.
CoRR
Zhihong Sun, Chen Lyu, Bolun Li, Yao Wan, Hongyu Zhang, Ge Li, Zhi Jin
2024 J jnl
FedGKD: Toward Heterogeneous Federated Learning via Global Knowledge Distillation.
IEEE Trans. Computers
Dezhong Yao, Wanning Pan, Yutong Dai, Yao Wan, Xiaofeng Ding, Chen Yu, Hai Jin, Zheng Xu, Lichao Sun
2024 J jnl
GUI-WORLD: A Dataset for GUI-oriented Multimodal LLM-based Agents.
CoRR
Dongping Chen, Yue Huang, Siyuan Wu, Jingyu Tang, Liuyi Chen, Yilin Bai, Zhigang He, Chenlong Wang, Huichi Zhou, Yiqiang Li, Tianshuo Zhou, Yue Yu, Chujie Gao, Qihui Zhang, Yi Gui, Zhen Li, Yao Wan, Pan Zhou, Jianfeng Gao, Lichao Sun
2024 A conf
Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation.
ISSTA
Zhaoyang Chu, Yao Wan, Qian Li, Yang Wu, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin
2024 J jnl
Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation.
CoRR
Zhaoyang Chu, Yao Wan, Qian Li, Yang Wu, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin
2024 J jnl
Hierarchical medical image report adversarial generation with hybrid discriminator.
Artif. Intell. Medicine
Junsan Zhang, Ming Cheng, Qiaoqiao Cheng, Xiuxuan Shen, Yao Wan, Jie Zhu, Mengxuan Liu
2024 A* conf
HonestLLM: Toward an Honest and Helpful Large Language Model.
NeurIPS
Chujie Gao, Siyuan Wu, Yue Huang, Dongping Chen, Qihui Zhang, Zhengyan Fu, Yao Wan, Lichao Sun, Xiangliang Zhang
2024 J jnl
I Think, Therefore I am: Awareness in Large Language Models.
CoRR
Yuan Li, Yue Huang, Yuli Lin, Siyuan Wu, Yao Wan, Lichao Sun
2024 J jnl
IRCoCo: Immediate Rewards-Guided Deep Reinforcement Learning for Code Completion.
CoRR
Bolun Li, Zhihong Sun, Tao Huang, Hongyu Zhang, Yao Wan, Ge Li, Zhi Jin, Chen Lyu
2024 J jnl
IRCoCo: Immediate Rewards-Guided Deep Reinforcement Learning for Code Completion.
Proc. ACM Softw. Eng.
Bolun Li, Zhihong Sun, Tao Huang, Hongyu Zhang, Yao Wan, Ge Li, Zhi Jin, Chen Lyu
2024 J jnl
Interleaved Scene Graph for Interleaved Text-and-Image Generation Assessment.
CoRR
Dongping Chen, Ruoxi Chen, Shu Pu, Zhaoyi Liu, Yanru Wu, Caixi Chen, Benlin Liu, Yue Huang, Yao Wan, Pan Zhou, Ranjay Krishna
2024 — conf
Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback.
ACL (Findings)
Zhangqian Bi, Yao Wan, Zheng Wang, Hongyu Zhang, Batu Guan, Fangxin Lu, Zili Zhang, Yulei Sui, Hai Jin, Xuanhua Shi
2024 J jnl
Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback.
CoRR
Zhangqian Bi, Yao Wan, Zheng Wang, Hongyu Zhang, Batu Guan, Fangxin Lu, Zili Zhang, Yulei Sui, Xuanhua Shi, Hai Jin
2024 — conf
KEEP CHATTING! An Attractive Dataset for Continuous Conversation Agents.
ACL (Findings)
Yihe Wang, Jin Liu, Yao Wan, Yitong Li, Zifeng Liu, Weipeng Chen
2024 — conf
LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected?
NAACL-HLT (Findings)
Qihui Zhang, Chujie Gao, Dongping Chen, Yue Huang, Yixin Huang, Zhenyang Sun, Shilin Zhang, Weiye Li, Zhengyan Fu, Yao Wan, Lichao Sun
2024 J jnl
LLM-as-a-Coauthor: The Challenges of Detecting LLM-Human Mixcase.
CoRR
Chujie Gao, Dongping Chen, Qihui Zhang, Yue Huang, Yao Wan, Lichao Sun
2024 A* conf
MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark.
ICML
Dongping Chen, Ruoxi Chen, Shilin Zhang, Yaochen Wang, Yinuo Liu, Huichi Zhou, Qihui Zhang, Yao Wan, Pan Zhou, Lichao Sun
2024 J jnl
MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark.
CoRR
Dongping Chen, Ruoxi Chen, Shilin Zhang, Yinuo Liu, Yaochen Wang, Huichi Zhou, Qihui Zhang, Pan Zhou, Yao Wan, Lichao Sun
2024 A* conf
MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use.
ICLR
Yue Huang, Jiawen Shi, Yuan Li, Chenrui Fan, Siyuan Wu, Qihui Zhang, Yixin Liu, Pan Zhou, Yao Wan, Neil Zhenqiang Gong, Lichao Sun
2024 — conf
NL2Formula: Generating Spreadsheet Formulas from Natural Language Queries.
EACL (Findings)
Wei Zhao, Zhitao Hou, Siyuan Wu, Yang Gao, Haoyu Dong, Yao Wan, Hongyu Zhang, Yulei Sui, Haidong Zhang
2024 J jnl
NL2Formula: Generating Spreadsheet Formulas from Natural Language Queries.
CoRR
Wei Zhao, Zhitao Hou, Siyuan Wu, Yan Gao, Haoyu Dong, Yao Wan, Hongyu Zhang, Yulei Sui, Haidong Zhang
2024 J jnl
ObscurePrompt: Jailbreaking Large Language Models via Obscure Input.
CoRR
Yue Huang, Jingyu Tang, Dongping Chen, Bingda Tang, Yao Wan, Lichao Sun, Xiangliang Zhang
2024 A* conf
Pandora's Box: Towards Building Universal Attackers against Real-World Large Vision-Language Models.
NeurIPS
Daizong Liu, Mingyu Yang, Xiaoye Qu, Pan Zhou, Xiang Fang, Keke Tang, Yao Wan, Lichao Sun
2024 J jnl
PyScribe-Learning to describe python code.
Softw. Pract. Exp.
Juncai Guo, Jin Liu, Xiao Liu, Yao Wan, Yanjie Zhao, Li Li, Kui Liu, Jacques Klein, Tegawendé F. Bissyandé
2024 J jnl
Self-Cognition in Large Language Models: An Exploratory Study.
CoRR
Dongping Chen, Jiawen Shi, Yao Wan, Pan Zhou, Neil Zhenqiang Gong, Lichao Sun
2024 A* conf
Sifting through the Chaff: On Utilizing Execution Feedback for Ranking the Generated Code Candidates.
ASE
Zhihong Sun, Yao Wan, Jia Li, Hongyu Zhang, Zhi Jin, Ge Li, Chen Lyu
2024 J jnl
Sifting through the Chaff: On Utilizing Execution Feedback for Ranking the Generated Code Candidates.
CoRR
Zhihong Sun, Yao Wan, Jia Li, Hongyu Zhang, Zhi Jin, Ge Li, Chen Lyu
2024 J jnl
The Best of Both Worlds: Toward an Honest and Helpful Large Language Model.
CoRR
Chujie Gao, Qihui Zhang, Dongping Chen, Yue Huang, Siyuan Wu, Zhengyan Fu, Yao Wan, Xiangliang Zhang, Lichao Sun
2024 J jnl
The Impact of Large Language Models in Academia: from Writing to Speaking.
CoRR
Mingmeng Geng, Caixi Chen, Yanru Wu, Dongping Chen, Yao Wan, Pan Zhou
2024 J jnl
UniGen: A Unified Framework for Textual Dataset Generation Using Large Language Models.
CoRR
Siyuan Wu, Yue Huang, Chujie Gao, Dongping Chen, Qihui Zhang, Yao Wan, Tianyi Zhou, Xiangliang Zhang, Jianfeng Gao, Chaowei Xiao, Lichao Sun
2024 J jnl
VISION2UI: A Real-World Dataset with Layout for Code Generation from UI Designs.
CoRR
Yi Gui, Zhen Li, Yao Wan, Yemin Shi, Hongyu Zhang, Yi Su, Shaoling Dong, Xing Zhou, Wenbin Jiang
2024 — conf
kNN-ICL: Compositional Task-Oriented Parsing Generalization with Nearest Neighbor In-Context Learning.
NAACL-HLT
Wenting Zhao, Ye Liu, Yao Wan, Yibo Wang, Qingyang Wu, Zhongfen Deng, Jiangshu Du, Shuaiqi Liu, Yunlong Xu, Philip S. Yu
2023 J jnl
DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text.
CoRR
Wenting Zhao, Ye Liu, Tong Niu, Yao Wan, Philip S. Yu, Shafiq Joty, Yingbo Zhou, Semih Yavuz
2023 J jnl
Diverse title generation for Stack Overflow posts with multiple-sampling-enhanced transformer.
J. Syst. Softw.
Fengji Zhang, Jin Liu, Yao Wan, Xiao Yu, Xiao Liu, Jacky Keung
2023 — conf
Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables.
IJCNLP (Findings)
Wenting Zhao, Ye Liu, Yao Wan, Yibo Wang, Zhongfen Deng, Philip S. Yu
2023 J jnl
Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables.
CoRR
Wenting Zhao, Ye Liu, Yao Wan, Yibo Wang, Zhongfen Deng, Philip S. Yu
2023 J jnl
MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use.
CoRR
Yue Huang, Jiawen Shi, Yuan Li, Chenrui Fan, Siyuan Wu, Qihui Zhang, Yixin Liu, Pan Zhou, Yao Wan, Neil Zhenqiang Gong, Lichao Sun
2023 — conf
Named Entity Recognition via Machine Reading Comprehension: A Multi-Task Learning Approach.
IJCNLP (Findings)
Yibo Wang, Wenting Zhao, Yao Wan, Zhongfen Deng, Philip S. Yu
2023 J jnl
Named Entity Recognition via Machine Reading Comprehension: A Multi-Task Learning Approach.
CoRR
Yibo Wang, Wenting Zhao, Yao Wan, Zhongfen Deng, Philip S. Yu
2023 J jnl
Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks.
ACM Trans. Web
Jibing Gong, Yao Wan, Ye Liu, Xuewen Li, Yi Zhao, Cheng Wang, Yuting Lin, Xiaohan Fang, Wenzheng Feng, Jingyi Zhang, Jie Tang
2023 J jnl
Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding.
CoRR
Jiahao Zhu, Daizong Liu, Pan Zhou, Xing Di, Yu Cheng, Song Yang, Wenzheng Xu, Zichuan Xu, Yao Wan, Lichao Sun, Zeyu Xiong
2023 J jnl
SOR-TC: Self-attentive octave ResNet with temporal consistency for compressed video action recognition.
Neurocomputing
Junsan Zhang, Xiaomin Wang, Yao Wan, Leiquan Wang, Jian Wang, Philip S. Yu
2023 — conf
SiMFy: A Simple Yet Effective Approach for Temporal Knowledge Graph Reasoning.
EMNLP (Findings)
Zhengtao Liu, Lei Tan, Mengfan Li, Yao Wan, Hai Jin, Xuanhua Shi
2023 J jnl
Summarizing source code with Heterogeneous Syntax Graph and dual position.
Inf. Process. Manag.
Juncai Guo, Jin Liu, Xiao Liu, Yao Wan, Li Li
2023 J jnl
kNN-ICL: Compositional Task-Oriented Parsing Generalization with Nearest Neighbor In-Context Learning.
CoRR
Wenting Zhao, Ye Liu, Yao Wan, Yibo Wang, Qingyang Wu, Zhongfen Deng, Jiangshu Du, Shuaiqi Liu, Yunlong Xu, Philip S. Yu
2022 — conf
Are Pre-trained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection.
ConvAI@ACL
Jianguo Zhang, Kazuma Hashimoto, Yao Wan, Zhiwei Liu, Ye Liu, Caiming Xiong, Philip S. Yu
2022 J jnl
Attend, Memorize and Generate: Towards Faithful Table-to-Text Generation in Few Shots.
CoRR
Wenting Zhao, Ye Liu, Yao Wan, Philip S. Yu
2022 — conf
CODE-MVP: Learning to Represent Source Code from Multiple Views with Contrastive Pre-Training.
NAACL-HLT (Findings)
Xin Wang, Yasheng Wang, Yao Wan, Jiawei Wang, Pingyi Zhou, Li Li, Hao Wu, Jin Liu
2022 J jnl
CODE-MVP: Learning to Represent Source Code from Multiple Views with Contrastive Pre-Training.
CoRR
Xin Wang, Yasheng Wang, Yao Wan, Jiawei Wang, Pingyi Zhou, Li Li, Hao Wu, Jin Liu
2022 J jnl
Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus.
CoRR
Yue Wang, Yao Wan, Lu Bai, Lixin Cui, Zhuo Xu, Ming Li, Philip S. Yu, Edwin R. Hancock
2022 — conf
Compilable Neural Code Generation with Compiler Feedback.
ACL (Findings)
Xin Wang, Yasheng Wang, Yao Wan, Fei Mi, Yitong Li, Pingyi Zhou, Jin Liu, Hao Wu, Xin Jiang, Qun Liu
2022 J jnl
Compilable Neural Code Generation with Compiler Feedback.
CoRR
Xin Wang, Yasheng Wang, Yao Wan, Fei Mi, Yitong Li, Pingyi Zhou, Jin Liu, Hao Wu, Xin Jiang, Qun Liu
2022 A conf
Cross-Language Binary-Source Code Matching with Intermediate Representations.
SANER
Yi Gui, Yao Wan, Hongyu Zhang, Huifang Huang, Yulei Sui, Guandong Xu, Zhiyuan Shao, Hai Jin
2022 J jnl
Cross-Language Binary-Source Code Matching with Intermediate Representations.
CoRR
Yi Gui, Yao Wan, Hongyu Zhang, Huifang Huang, Yulei Sui, Guandong Xu, Zhiyuan Shao, Hai Jin
2022 A* conf
DANets: Deep Abstract Networks for Tabular Data Classification and Regression.
AAAI
Jintai Chen, Kuanlun Liao, Yao Wan, Danny Z. Chen, Jian Wu
2022 J jnl
Diverse Title Generation for Stack Overflow Posts with Multiple Sampling Enhanced Transformer.
CoRR
Fengji Zhang, Jin Liu, Yao Wan, Xiao Yu, Xiao Liu, Jacky W. Keung
2022 J jnl
FedBERT: When Federated Learning Meets Pre-training.
ACM Trans. Intell. Syst. Technol.
Yuanyishu Tian, Yao Wan, Lingjuan Lyu, Dezhong Yao, Hai Jin, Lichao Sun
2022 — conf
Modeling Hierarchical Syntax Structure with Triplet Position for Source Code Summarization.
ACL (1)
Juncai Guo, Jin Liu, Yao Wan, Li Li, Pingyi Zhou
2022 J jnl
Modeling Sequential Listening Behaviors With Attentive Temporal Point Process for Next and Next New Music Recommendation.
IEEE Trans. Multim.
Dongjing Wang, Xin Zhang, Yao Wan, Dongjin Yu, Guandong Xu, Shuiguang Deng
2022 J jnl
Multi-triage: A multi-task learning framework for bug triage.
J. Syst. Softw.
Thazin Win Win Aung, Yao Wan, Huan Huo, Yulei Sui
2022 — conf
NaturalCC: An Open-Source Toolkit for Code Intelligence.
ICSE-Companion
Yao Wan, Yang He, Zhangqian Bi, Jianguo Zhang, Yulei Sui, Hongyu Zhang, Kazuma Hashimoto, Hai Jin, Guandong Xu, Caiming Xiong, Philip S. Yu
2022 J jnl
Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks.
CoRR
Jibing Gong, Yao Wan, Ye Liu, Xuewen Li, Yi Zhao, Cheng Wang, Qing Li, Wenzheng Feng, Jie Tang
2022 J jnl
Reinforcement-Learning-Guided Source Code Summarization Using Hierarchical Attention.
IEEE Trans. Software Eng.
Wenhua Wang, Yuqun Zhang, Yulei Sui, Yao Wan, Zhou Zhao, Jian Wu, Philip S. Yu, Guandong Xu
2022 — conf
Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding.
EMNLP (Findings)
Jiahao Zhu, Daizong Liu, Pan Zhou, Xing Di, Yu Cheng, Song Yang, Wenzheng Xu, Zichuan Xu, Yao Wan, Lichao Sun, Zeyu Xiong
2022 A* conf
What Do They Capture? - A Structural Analysis of Pre-Trained Language Models for Source Code.
ICSE
Yao Wan, Wei Zhao, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin
2022 J jnl
What Do They Capture? - A Structural Analysis of Pre-Trained Language Models for Source Code.
CoRR
Yao Wan, Wei Zhao, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin
2022 J jnl
XCode: Towards Cross-Language Code Representation with Large-Scale Pre-Training.
ACM Trans. Softw. Eng. Methodol.
Zehao Lin, Guodun Li, Jingfeng Zhang, Yue Deng, Xiangji Zeng, Yin Zhang, Yao Wan
2022 — conf
You see what I want you to see: poisoning vulnerabilities in neural code search.
ESEC/SIGSOFT FSE
Yao Wan, Shijie Zhang, Hongyu Zhang, Yulei Sui, Guandong Xu, Dezhong Yao, Hai Jin, Lichao Sun
2021 J jnl
Are Pretrained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection.
CoRR
Jianguo Zhang, Kazuma Hashimoto, Yao Wan, Ye Liu, Caiming Xiong, Philip S. Yu
2021 — conf
Attend, Memorize and Generate: Towards Faithful Table-to-Text Generation in Few Shots.
EMNLP (Findings)
Wenting Zhao, Ye Liu, Yao Wan, Philip S. Yu
2021 J jnl
DANets: Deep Abstract Networks for Tabular Data Classification and Regression.
CoRR
Jintai Chen, Kuanlun Liao, Yao Wan, Danny Z. Chen, Jian Wu
2021 — conf
Disentangled Code Representation Learning for Multiple Programming Languages.
ACL/IJCNLP (Findings)
Jingfeng Zhang, Haiwen Hong, Yin Zhang, Yao Wan, Ye Liu, Yulei Sui
2021 A conf
Enriching Non-Autoregressive Transformer with Syntactic and Semantic Structures for Neural Machine Translation.
EACL
Ye Liu, Yao Wan, Jian-Guo Zhang, Wenting Zhao, Philip S. Yu
2021 J jnl
Enriching Non-Autoregressive Transformer with Syntactic and SemanticStructures for Neural Machine Translation.
CoRR
Ye Liu, Yao Wan, Jian-Guo Zhang, Wenting Zhao, Philip S. Yu
2021 J jnl
FCCA: Hybrid Code Representation for Functional Clone Detection Using Attention Networks.
IEEE Trans. Reliab.
Wei Hua, Yulei Sui, Yao Wan, Guangzhong Liu, Guandong Xu
2021 J jnl
FedHM: Efficient Federated Learning for Heterogeneous Models via Low-rank Factorization.
CoRR
Dezhong Yao, Wanning Pan, Yao Wan, Hai Jin, Lichao Sun
2021 — conf
Fix-Filter-Fix: Intuitively Connect Any Models for Effective Bug Fixing.
EMNLP (1)
Haiwen Hong, Jingfeng Zhang, Yin Zhang, Yao Wan, Yulei Sui
2021 — conf
HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization.
EMNLP (1)
Ye Liu, Jian-Guo Zhang, Yao Wan, Congying Xia, Lifang He, Philip S. Yu
2021 J jnl
HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization.
CoRR
Ye Liu, Jian-Guo Zhang, Yao Wan, Congying Xia, Lifang He, Philip S. Yu
2021 A* conf
KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning.
AAAI
Ye Liu, Yao Wan, Lifang He, Hao Peng, Philip S. Yu
2020 B conf
Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks.
ICPR
Yue Wang, Zhuo Xu, Lu Bai, Yao Wan, Lixin Cui, Qian Zhao, Edwin R. Hancock, Philip S. Yu
2020 J jnl
Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks.
CoRR
Yue Wang, Zhuo Xu, Lu Bai, Yao Wan, Lixin Cui, Qian Zhao, Edwin R. Hancock, Philip S. Yu
2020 — conf
Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference.
EMNLP (1)
Jian-Guo Zhang, Kazuma Hashimoto, Wenhao Liu, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, Caiming Xiong
2020 J jnl
Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference.
CoRR
Jian-Guo Zhang, Kazuma Hashimoto, Wenhao Liu, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, Caiming Xiong
2020 — conf
Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking.
*SEM@COLING
Jian-Guo Zhang, Kazuma Hashimoto, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, Caiming Xiong
2020 J jnl
KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning.
CoRR
Ye Liu, Yao Wan, Lifang He, Hao Peng, Philip S. Yu
2020 J jnl
Multi-view factorization machines for mobile app recommendation based on hierarchical attention.
Knowl. Based Syst.
Tingting Liang, Lei Zheng, Liang Chen, Yao Wan, Philip S. Yu, Jian Wu
2020 J jnl
NaturalCC: A Toolkit to Naturalize the Source Code Corpus.
CoRR
Yao Wan, Yang He, Jianguo Zhang, Yulei Sui, Hai Jin, Guandong Xu, Caiming Xiong, Philip S. Yu
2019 J jnl
Competitive Multi-Agent Deep Reinforcement Learning with Counterfactual Thinking.
CoRR
Yue Wang, Yao Wan, Chenwei Zhang, Lixin Cui, Lu Bai, Philip S. Yu
2019 A* conf
Competitive Multi-agent Deep Reinforcement Learning with Counterfactual Thinking.
ICDM
Yue Wang, Yao Wan, Chenwei Zhang, Lu Bai, Lixin Cui, Philip S. Yu
2019 J jnl
Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking.
CoRR
Jianguo Zhang, Kazuma Hashimoto, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, Caiming Xiong
2019 J jnl
Multi-Modal Attention Network Learning for Semantic Source Code Retrieval.
CoRR
Yao Wan, Jingdong Shu, Yulei Sui, Guandong Xu, Zhou Zhao, Jian Wu, Philip S. Yu
2019 — conf
Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce.
NAACL-HLT (2)
Jianguo Zhang, Pengcheng Zou, Zhao Li, Yao Wan, Xiuming Pan, Yu Gong, Philip S. Yu
2019 J jnl
Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce.
CoRR
Jianguo Zhang, Pengcheng Zou, Zhao Li, Yao Wan, Xiuming Pan, Yu Gong, Philip S. Yu
2019 A* conf
Multi-modal Attention Network Learning for Semantic Source Code Retrieval.
ASE
Yao Wan, Jingdong Shu, Yulei Sui, Guandong Xu, Zhou Zhao, Jian Wu, Philip S. Yu
2018 J jnl
Exploiting cross-source knowledge for warming up community question answering services.
Neurocomputing
Yao Wan, Guandong Xu, Liang Chen, Zhou Zhao, Jian Wu
2018 — conf
Improved Dynamic Memory Network for Dialogue Act Classification with Adversarial Training.
IEEE BigData
Yao Wan, Wenqiang Yan, Jianwei Gao, Zhou Zhao, Jian Wu, Philip S. Yu
2018 J jnl
Improved Dynamic Memory Network for Dialogue Act Classification with Adversarial Training.
CoRR
Yao Wan, Wenqiang Yan, Jianwei Gao, Zhou Zhao, Jian Wu, Philip S. Yu
2018 J jnl
Improving Automatic Source Code Summarization via Deep Reinforcement Learning.
CoRR
Yao Wan, Zhou Zhao, Min Yang, Guandong Xu, Haochao Ying, Jian Wu, Philip S. Yu
2018 A* conf
Improving automatic source code summarization via deep reinforcement learning.
ASE
Yao Wan, Zhou Zhao, Min Yang, Guandong Xu, Haochao Ying, Jian Wu, Philip S. Yu
2018 J jnl
Product Title Refinement via Multi-Modal Generative Adversarial Learning.
CoRR
Jianguo Zhang, Pengcheng Zou, Zhao Li, Yao Wan, Ye Liu, Xiuming Pan, Yu Gong, Philip S. Yu
2018 J jnl
SCSMiner: mining social coding sites for software developer recommendation with relevance propagation.
World Wide Web
Yao Wan, Liang Chen, Guandong Xu, Zhou Zhao, Jie Tang, Jian Wu
2017 — conf
Exploiting Geographical Location for Team Formation in Social Coding Sites.
PAKDD (1)
Yuqiang Han, Yao Wan, Liang Chen, Guandong Xu, Jian Wu
2016 — conf
Incorporating Heterogeneous Information for Mashup Discovery with Consistent Regularization.
PAKDD (1)
Yao Wan, Liang Chen, Qi Yu, Tingting Liang, Jian Wu
2015 A conf
Time-Aware API Popularity Prediction via Heterogeneous Features.
ICWS
Yao Wan, Liang Chen, Jian Wu, Qi Yu