| 2026 | AAAI | Rethinking the Sampling Criteria in Reinforcement Learning for LLM Reasoning: A Competence-Difficulty Alignment Perspective. | Deyang Kong, Qi Guo, Xiangyu Xi, Wei Wang, Jingang Wang, Xunliang Cai, Shikun Zhang, Wei Ye |
| 2026 | AAAI | Modeling Uncertainty Trends for Timely Retrieval in Dynamic RAG. | Bo Li, Tian Tian, Zhenghua Xu, Hao Cheng, Shikun Zhang, Wei Ye |
| 2026 | AAAI | L2-LoRA: Improving Low-Rank Adaptation with Layer-Specific Regularization. | Xiang Zhang, Rui Xie, Shikun Zhang |
| 2026 | AAAI | ASKD: Reinforcement Learning-Style Knowledge Distillation with Quality-Adaptive Skewness. | Mingjie Zhang, Xiaoling Zhou, Yuxiao Luo, Yiyu Liu, Shikun Zhang, Wei Ye |
| 2026 | ACL | Retrieval as Generation: A Unified Framework with Self-Triggered Information Planning. | Bo Li, Mingda Wang, Gexiang Fang, Shikun Zhang, Wei Ye |
| 2026 | ACL | Instruction Data Selection via Answer Divergence. | Bo Li, Mingda Wang, Shikun Zhang, Wei Ye |
| 2026 | ACL | Data Selection for Multi-turn Dialogue Instruction Tuning. | Bo Li, Shikun Zhang, Wei Ye |
| 2026 | ACL | Thinking Twice Makes Large Language Models Safer and More Helpful. | Yutao Mou, Yuxiao Luo, Shikun Zhang, Wei Ye |
| 2026 | ACL | ToolSafe: Enhancing Tool Invocation Safety of LLM-based agents via Proactive Step-level Guardrail and Feedback. | Yutao Mou, Zhangchi Xue, Lijun Li, Peiyang Liu, Shikun Zhang, Wei Ye, Jing Shao |
| 2026 | ACL | Joint Optimization of Training Data and Policy in RLHF. | Zhuohao Yu, Jiali Zeng, Weizheng Gu, Mengyuan Sun, Yidong Wang, Fandong Meng, Jie Zhou, Shikun Zhang, Wei Ye |
| 2026 | ACL | LeLoRA: Learnable Low-Rank Adaptation of Large Language Models. | Xiaoling Zhou, Mingjie Zhang, Zhemg Lee, Wei Ye, Shikun Zhang |
| 2025 | ACL | MPL: Multiple Programming Languages with Large Language Models for Information Extraction. | Bo Li, Gexiang Fang, Wei Ye, Zhenghua Xu, Jinglei Zhang, Hao Cheng, Shikun Zhang |
| 2025 | ACL | Can You Really Trust Code Copilot? Evaluating Large Language Models from a Code Security Perspective. | Yutao Mou, Xiao Deng, Yuxiao Luo, Shikun Zhang, Wei Ye |
| 2025 | CVPR | SymDPO: Boosting In-Context Learning of Large Multimodal Models with Symbol Demonstration Direct Preference Optimization. | Hongrui Jia, Chaoya Jiang, Haiyang Xu, Wei Ye, Mengfan Dong, Ming Yan, Ji Zhang, Fei Huang, Shikun Zhang |
| 2025 | CVPR | All-Optical Nonlinear Diffractive Deep Network for Ultrafast Image Denoising. | Xiaoling Zhou, Zhemg Lee, Wei Ye, Rui Xie, Wenbo Zhang, Guanju Peng, Zongze Li, Shikun Zhang |
| 2025 | EMNLP | SampleMix: A Sample-wise Pre-training Data Mixing Strategy by Coordinating Data Quality and Diversity. | Xiangyu Xi, Deyang Kong, Jian Yang, Jiawei Yang, Zhengyu Chen, Wei Wang, Jingang Wang, Xunliang Cai, Shikun Zhang, Wei Ye |
| 2025 | ICLR | HaDeMiF: Hallucination Detection and Mitigation in Large Language Models. | Xiaoling Zhou, Mingjie Zhang, Zhemg Lee, Wei Ye, Shikun Zhang |
| 2025 | ICML | Reasoning Through Execution: Unifying Process and Outcome Rewards for Code Generation. | Zhuohao Yu, Weizheng Gu, Yidong Wang, Xingru Jiang, Zhengran Zeng, Jindong Wang, Wei Ye, Shikun Zhang |
| 2025 | IJCAI | GETMusic: Generating Music Tracks with a Unified Representation and Diffusion Framework. | Ang Lv, Xu Tan, Peiling Lu, Wei Ye, Shikun Zhang, Jiang Bian, Rui Yan |
| 2025 | IJCAI | Robustness to Spurious Correlations via Dynamic Knowledge Transfer. | Xiaoling Zhou, Wei Ye, Zhemg Lee, Shikun Zhang |
| 2025 | NAACL | Supportiveness-based Knowledge Rewriting for Retrieval-augmented Language Modeling. | Zile Qiao, Wei Ye, Yong Jiang, Tong Mo, Pengjun Xie, Weiping Li, Fei Huang, Shikun Zhang |
| 2025 | SP | Click Without Compromise: Online Advertising Measurement via Per User Differential Privacy. | Yingtai Xiao, Jian Du, Shikun Zhang, Wanrong Zhang, Qian Yang, Danfeng Zhang, Daniel Kifer |
| 2024 | AAAI | TiMix: Text-Aware Image Mixing for Effective Vision-Language Pre-training. | Chaoya Jiang, Wei Ye, Haiyang Xu, Qinghao Ye, Ming Yan, Ji Zhang, Shikun Zhang |
| 2024 | AAAI | Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks. | Bo Li, Wei Ye, Quansen Wang, Wen Zhao, Shikun Zhang |
| 2024 | ACL | What Makes a Good Order of Examples in In-Context Learning. | Qi Guo, Leiyu Wang, Yidong Wang, Wei Ye, Shikun Zhang |
| 2024 | ACL | Refining Corpora from a Model Calibration Perspective for Chinese Spelling Correction. | Dingyao Yu, Yang An, Wei Ye, Xiongfeng Xiao, Shaoguang Mao, Tao Ge, Shikun Zhang |
| 2024 | ACL | KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models. | Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Wei Ye, Jindong Wang, Xing Xie, Yue Zhang, Shikun Zhang |
| 2024 | ACL | Enhancing In-Context Learning via Implicit Demonstration Augmentation. | Xiaoling Zhou, Wei Ye, Yidong Wang, Chaoya Jiang, Zhemg Lee, Rui Xie, Shikun Zhang |
| 2024 | CVPR | Hallucination Augmented Contrastive Learning for Multimodal Large Language Model. | Chaoya Jiang, Haiyang Xu, Mengfan Dong, Jiaxing Chen, Wei Ye, Ming Yan, Qinghao Ye, Ji Zhang, Fei Huang, Shikun Zhang |
| 2024 | EMNLP | FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models. | Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Zhengran Zeng, Wei Ye, Jindong Wang, Yue Zhang, Shikun Zhang |
| 2024 | EMNLP | PURE: Aligning LLM via Pluggable Query Reformulation for Enhanced Helpfulness. | Wenjin Yao, Yidong Wang, Zhuohao Yu, Rui Xie, Shikun Zhang, Wei Ye |
| 2024 | EMNLP | RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation. | Xuanwang Zhang, Yunze Song, Yidong Wang, Shuyun Tang, Xinfeng Li, Zhengran Zeng, Zhen Wu, Wei Ye, Wenyuan Xu, Yue Zhang, Xinyu Dai, Shikun Zhang, Qingsong Wen |
| 2024 | ICLR | PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. | Yidong Wang, Zhuohao Yu, Wenjin Yao, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang |
| 2024 | ICML | NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models. | Zeqian Ju, Yuancheng Wang, Kai Shen, Xu Tan, Detai Xin, Dongchao Yang, Eric Liu, Yichong Leng, Kaitao Song, Siliang Tang, Zhizheng Wu, Tao Qin, Xiangyang Li, Wei Ye, Shikun Zhang, Jiang Bian, Lei He, Jinyu Li, Sheng Zhao |
| 2024 | IJCAI | Boosting Model Resilience via Implicit Adversarial Data Augmentation. | Xiaoling Zhou, Wei Ye, Zhemg Lee, Rui Xie, Shikun Zhang |
| 2024 | ISSTA | CoderUJB: An Executable and Unified Java Benchmark for Practical Programming Scenarios. | Zhengran Zeng, Yidong Wang, Rui Xie, Wei Ye, Shikun Zhang |
| 2024 | SOUPS | Exploring Expandable-Grid Designs to Make iOS App Privacy Labels More Usable. | Shikun Zhang, Lily Klucinec, Kyerra Norton, Norman Sadeh, Lorrie Faith Cranor |
| 2023 | AAAI | Reviewing Labels: Label Graph Network with Top-k Prediction Set for Relation Extraction. | Bo Li, Wei Ye, Jinglei Zhang, Shikun Zhang |
| 2023 | AAAI | Sequence Generation with Label Augmentation for Relation Extraction. | Bo Li, Dingyao Yu, Wei Ye, Jinglei Zhang, Shikun Zhang |
| 2023 | ACL | Exploiting Pseudo Image Captions for Multimodal Summarization. | Chaoya Jiang, Rui Xie, Wei Ye, Jinan Sun, Shikun Zhang |
| 2023 | ACL | Vision Language Pre-training by Contrastive Learning with Cross-Modal Similarity Regulation. | Chaoya Jiang, Wei Ye, Haiyang Xu, Songfang Huang, Fei Huang, Shikun Zhang |
| 2023 | ACL | Improving Knowledge Graph Completion with Generative Hard Negative Mining. | Zile Qiao, Wei Ye, Dingyao Yu, Tong Mo, Weiping Li, Shikun Zhang |
| 2023 | CVPR | 3D Registration with Maximal Cliques. | Xiyu Zhang, Jiaqi Yang, Shikun Zhang, Yanning Zhang |
| 2023 | EMNLP | MusicAgent: An AI Agent for Music Understanding and Generation with Large Language Models. | Dingyao Yu, Kaitao Song, Peiling Lu, Tianyu He, Xu Tan, Wei Ye, Shikun Zhang, Jiang Bian |
| 2023 | ICASSP | SDRNet: Shape Decoupled Regression Network for 3d face Reconstruction. | Shikun Zhang, Fengyi Song, Ge Song, Ming Yang |
| 2023 | ICCV | BUS : Efficient and Effective Vision-language Pre-training with Bottom-Up Patch Summarization. | Chaoya Jiang, Haiyang Xu, Wei Ye, Qinghao Ye, Chenliang Li, Ming Yan, Bin Bi, Shikun Zhang, Fei Huang, Songfang Huang |
| 2023 | ICCV | Hierarchical Prior Mining for Non-local Multi-View Stereo. | Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang |
| 2023 | ICCV | Prototypical Mixing and Retrieval-based Refinement for Label Noise-resistant Image Retrieval. | Xinlong Yang, Haixin Wang, Jinan Sun, Shikun Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo |
| 2023 | ISSRE | Assessing and Improving Dataset and Evaluation Methodology in Deep Learning for Code Clone Detection. | Haiyang Li, Qing Gao, Shikun Zhang |
| 2023 | WWW | DANCE: Learning A Domain Adaptive Framework for Deep Hashing. | Haixin Wang, Jinan Sun, Xiang Wei, Shikun Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo |
| 2022 | AAAI | Frequency-Aware Contrastive Learning for Neural Machine Translation. | Tong Zhang, Wei Ye, Baosong Yang, Long Zhang, Xingzhang Ren, Dayiheng Liu, Jinan Sun, Shikun Zhang, Haibo Zhang, Wen Zhao |
| 2022 | COLING | Label Smoothing for Text Mining. | Peiyang Liu, Xiangyu Xi, Wei Ye, Shikun Zhang |
| 2022 | COLING | Exploiting Hybrid Semantics of Relation Paths for Multi-hop Question Answering over Knowledge Graphs. | Zile Qiao, Wei Ye, Tong Zhang, Tong Mo, Weiping Li, Shikun Zhang |
| 2022 | EMNLP | TRIPS: Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection. | Chaoya Jiang, Haiyang Xu, Chenliang Li, Ming Yan, Wei Ye, Shikun Zhang, Bin Bi, Songfang Huang |
| 2022 | ICIP | A Lightweight Network with Multi-Stage Feature Fusion Module for Single-View 3d Face Reconstruction. | Jing Wang, Shikun Zhang, Fengyi Song, Ge Song, Ming Yang |
| 2022 | ICIP | Exploring Occlusion-Sensitive Deep Network for Single-View 3D Face Reconstruction. | Jing Wang, Shikun Zhang, Fengyi Song, Ge Song, Ming Yang |
| 2022 | IJCNN | 3Rs: Data Augmentation Techniques Using Document Contexts For Low-Resource Chinese Named Entity Recognition. | Zheyu Ying, Jinglei Zhang, Rui Xie, Guochang Wen, Feng Xiao, Xueyang Liu, Shikun Zhang |
| 2021 | AAAI | Multi-view Inference for Relation Extraction with Uncertain Knowledge. | Bo Li, Wei Ye, Canming Huang, Shikun Zhang |
| 2021 | AAAI | SongMASS: Automatic Song Writing with Pre-training and Alignment Constraint. | Zhonghao Sheng, Kaitao Song, Xu Tan, Yi Ren, Wei Ye, Shikun Zhang, Tao Qin |
| 2021 | ACL | Capturing Event Argument Interaction via A Bi-Directional Entity-Level Recurrent Decoder. | Xiangyu Xi, Wei Ye, Shikun Zhang, Quanxiu Wang, Huixing Jiang, Wei Wu |
| 2021 | ACL | Unsupervised Out-of-Domain Detection via Pre-trained Transformers. | Keyang Xu, Tongzheng Ren, Shikun Zhang, Yihao Feng, Caiming Xiong |
| 2021 | ACL | Point, Disambiguate and Copy: Incorporating Bilingual Dictionaries for Neural Machine Translation. | Tong Zhang, Long Zhang, Wei Ye, Bo Li, Jinan Sun, Xiaoyu Zhu, Wen Zhao, Shikun Zhang |
| 2021 | CIKM | Distilling Knowledge from BERT into Simple Fully Connected Neural Networks for Efficient Vertical Retrieval. | Peiyang Liu, Xi Wang, Lin Wang, Wei Ye, Xiangyu Xi, Shikun Zhang |
| 2021 | CoNLL | Cross-document Event Identity via Dense Annotation. | Adithya Pratapa, Zhengzhong Liu, Kimihiro Hasegawa, Linwei Li, Yukari Yamakawa, Shikun Zhang, Teruko Mitamura |
| 2021 | DASFAA | Keyword-Aware Encoder for Abstractive Text Summarization. | Tianxiang Hu, Jingxi Liang, Wei Ye, Shikun Zhang |
| 2021 | EMNLP | Improving Embedding-based Large-scale Retrieval via Label Enhancement. | Peiyang Liu, Xi Wang, Sen Wang, Wei Ye, Xiangyu Xi, Shikun Zhang |
| 2021 | ICASSP | Improving Event Detection by Exploiting Label Hierarchy. | Xiangyu Xi, Wei Ye, Tong Zhang, Quanxiu Wang, Shikun Zhang, Huixing Jiang, Wei Wu |
| 2021 | NAACL | QuadrupletBERT: An Efficient Model For Embedding-Based Large-Scale Retrieval. | Peiyang Liu, Sen Wang, Xi Wang, Wei Ye, Shikun Zhang |
| 2021 | NAACL | Multi-Hop Transformer for Document-Level Machine Translation. | Long Zhang, Tong Zhang, Haibo Zhang, Baosong Yang, Wei Ye, Shikun Zhang |
| 2021 | SIGIR | Legal Judgment Prediction with Multi-Stage Case Representation Learning in the Real Court Setting. | Luyao Ma, Yating Zhang, Tianyi Wang, Xiaozhong Liu, Wei Ye, Changlong Sun, Shikun Zhang |
| 2021 | SOUPS | Facial Recognition: Understanding Privacy Concerns and Attitudes Across Increasingly Diverse Deployment Scenarios. | Shikun Zhang, Yuanyuan Feng, Norman M. Sadeh |
| 2020 | ACML | Deep Dynamic Boosted Forest. | Haixin Wang, Xingzhang Ren, Jinan Sun, Wei Ye, Long Chen, Muzhi Yu, Shikun Zhang |
| 2020 | COLING | Graph Enhanced Dual Attention Network for Document-Level Relation Extraction. | Bo Li, Wei Ye, Zhonghao Sheng, Rui Xie, Xiangyu Xi, Shikun Zhang |
| 2020 | ECAI | Leveraging Human Prior Knowledge to Learn Sense Representations. | Tong Zhang, Wei Ye, Xiangyu Xi, Long Zhang, Shikun Zhang, Wen Zhao |
| 2020 | ECCV | Stacking Networks Dynamically for Image Restoration Based on the Plug-and-Play Framework. | Haixin Wang, Tianhao Zhang, Muzhi Yu, Jinan Sun, Wei Ye, Chen Wang, Shikun Zhang |
| 2020 | EMNLP | A Data-Centric Framework for Composable NLP Workflows. | Zhengzhong Liu, Guanxiong Ding, Avinash Bukkittu, Mansi Gupta, Pengzhi Gao, Atif Ahmed, Shikun Zhang, Xin Gao, Swapnil Singhavi, Linwei Li, Wei Wei, Zecong Hu, Haoran Shi, Xiaodan Liang, Teruko Mitamura, Eric P. Xing, Zhiting Hu |
| 2020 | IJCNN | Sliding Hierarchical Recurrent Neural Networks for Sequence Classification. | Bo Li, Zhonghao Sheng, Wei Ye, Jinglei Zhang, Kai Liu, Shikun Zhang |
| 2020 | IJCNN | Not All Synonyms Are Created Equal: Incorporating Similarity of Synonyms to Enhance Word Embeddings. | Peiyang Liu, Wei Ye, Xiangyu Xi, Tong Wang, Jinglei Zhang, Shikun Zhang |
| 2020 | WWW | Leveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning. | Wei Ye, Rui Xie, Jinglei Zhang, Tianxiang Hu, Xiaoyin Wang, Shikun Zhang |
| 2019 | ACL | Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data. | Wei Ye, Bo Li, Rui Xie, Zhonghao Sheng, Long Chen, Shikun Zhang |
| 2019 | ICASSP | Long Text Analysis Using Sliced Recurrent Neural Networks with Breaking Point Information Enrichment. | Bo Li, Zehua Cheng, Zhenghua Xu, Wei Ye, Thomas Lukasiewicz, Shikun Zhang |
| 2019 | IJCNN | A Hybrid Character Representation for Chinese Event Detection. | Xiangyu Xi, Tong Zhang, Wei Ye, Jinglei Zhang, Rui Xie, Shikun Zhang |
| 2019 | SOUPS | Why people (don't) use password managers effectively. | Shikun Zhang, Sarah Pearman, Lujo Bauer, Nicolas Christin |
| 2018 | ICANN | Attention Enhanced Chinese Word Embeddings. | Xingzhang Ren, Leilei Zhang, Wei Ye, Hang Hua, Shikun Zhang |
| 2018 | ICWE | Refining Traceability Links Between Vulnerability and Software Component in a Vulnerability Knowledge Graph. | Dongdong Du, Xingzhang Ren, Yupeng Wu, Jien Chen, Wei Ye, Jinan Sun, Xiangyu Xi, Qing Gao, Shikun Zhang |
| 2018 | SEKE | Method and System for Detecting Anomalous User Behaviors: An Ensemble Approach. | Xiangyu Xi, Tong Zhang, Dongdong Du, Guoliang Zhao, Qing Gao, Wen Zhao, Shikun Zhang |
| 2016 | EMNLP | Unsupervised Text Recap Extraction for TV Series. | Hongliang Yu, Shikun Zhang, Louis-Philippe Morency |
| 2016 | SOUPS | Follow My Recommendations: A Personalized Privacy Assistant for Mobile App Permissions. | Bin Liu, Mads Schaarup Andersen, Florian Schaub, Hazim Almuhimedi, Shikun Zhang, Norman M. Sadeh, Yuvraj Agarwal, Alessandro Acquisti |
| 2015 | ISSRE | Practical null pointer dereference detection via value-dependence analysis. | Sen Ma, MingYang Jiao, Shikun Zhang, Wen Zhao, Dong Wei Wang |
| 2015 | SEKE | Towards a Deployment System for Cloud Applications. | Ruici Luo, Wei Ye, Shikun Zhang |
| 2014 | LREC | Dual Subtitles as Parallel Corpora. | Shikun Zhang, Wang Ling, Chris Dyer |
| 2012 | APSEC | BuOA: An Achitecture Style for Modular Web Applications. | Wei Ye, Ruici Luo, Shikun Zhang, Xueyang Liu, Wenhui Hu |
| 2012 | COMPSAC | Material Hub: A Semantic Search Engine with Rule Reasoning. | Sen Ma, Wen Zhao, Shikun Zhang, Hang Zhang |
| 2012 | SEKE | A Data Collaboration Model for Collaborative Design Based on C-Net. | Xin Gao, Wenhui Hu, Wei Ye, Shikun Zhang, Xuan Sun |
| 2011 | SEKE | Data Uncertainty Model for Mashup. | Xin Gao, Wenhui Hu, Wei Ye, Shikun Zhang |
| 2011 | SEKE | A Novel Method for Formally Detecting RFID Event Using Petri Nets. | Jinan Sun, Yu Huang, Xin Gao, Shikun Zhang, Lifu Wang, Chong-Yi Yuan |
| 2009 | COMPSAC | Towards Passive RFID Event. | Wei Ye, Wen Zhao, Yu Huang, Wenhui Hu, Shikun Zhang, Lifu Wang |
| 2009 | SERVICES | Towards Lightweight Application Integration Based on Mashup. | Wei Ye, Wenhui Hu, Wen Zhao, Xin Gao, Shikun Zhang, Lifu Wang |
| 2008 | APSEC | Modeling and Analysis of WS-BPEL Business Processes Based on ServiceNet. | Haiqiang Dun, Wen Zhao, Yu Huang, Shikun Zhang, Lifu Wang |