Sedic: privacy-aware data intensive computing on hybrid clouds. - Kehuan Zhang; Xiao-yong Zhou; Yangyi Chen; XiaoFeng Wang 001; Yaoping Ruan (CCS, 2011)

To Release or Not to Release: Evaluating Information Leaks in Aggregate Human-Genome Data. - Xiao-yong Zhou; Bo Peng; Yong Fuga Li; Yangyi Chen; Haixu Tang; XiaoFeng Wang 001 (ESORICS, 2011)

Large-Scale Privacy-Preserving Mapping of Human Genomic Sequences on Hybrid Clouds. - Yangyi Chen; Bo Peng; XiaoFeng Wang 001; Haixu Tang (NDSS, 2012)

InteGuard: Toward Automatic Protection of Third-Party Web Service Integrations. - Luyi Xing; Yangyi Chen; XiaoFeng Wang 001; Shuo Chen 001 (NDSS, 2013)

Thwarting Wi-Fi Side-Channel Analysis through Traffic Demultiplexing. - Fan Zhang 019; Wenbo He; Yangyi Chen; Zhou Li 001; XiaoFeng Wang 001; Shuo Chen 001; Xue Liu 001 (IEEE Trans. Wirel. Commun., 2014)

Perplexed Messengers from the Cloud: Automated Security Analysis of Push-Messaging Integrations. - Yangyi Chen; Tongxin Li; XiaoFeng Wang 001; Kai Chen 012; Xinhui Han (CCS, 2015)

Elite: Automatic Orchestration of Elastic Detection Services to Secure Cloud Hosting. - Yangyi Chen; Vincent Bindschaedler; XiaoFeng Wang 001; Stefan Berger; Dimitrios E. Pendarakis (RAID, 2015)

Closing the loop: Network and in-host monitoring tandem for comprehensive cloud security visibility. - Stefan Berger; Yangyi Chen; Xin Hu 001; Dimitrios E. Pendarakis; Josyula R. Rao; Reiner Sailer; Douglas Lee Schales; Marc Ph. Stoecklin (IBM J. Res. Dev., 2016)

Evaluation of NUMA-Aware Scheduling in Warehouse-Scale Clusters. - Richard Wu; Xiao Zhang; Xiangling Kong; Yangyi Chen; Rohit Jnagal; Robert Hagmann (CLOUD, 2019)

A Policy for Optimizing Sub-Band Selection Sequences in Wideband Spectrum Sensing. - Yangyi Chen; Shaojing Su; Junyu Wei (Sensors, 2019)

Optimized Non-Cooperative Spectrum Sensing Algorithm in Cognitive Wireless Sensor Networks. - Yangyi Chen; Shaojing Su; Huiwen Yin; Xiaojun Guo; Zhen Zuo; Junyu Wei; Liyin Zhang (Sensors, 2019)

ONION: A Simple and Effective Defense Against Textual Backdoor Attacks. - Fanchao Qi; Yangyi Chen; Mukai Li; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2020)

Automatic Construction of Sememe Knowledge Bases via Dictionaries. - Fanchao Qi; Yangyi Chen; Fengyu Wang; Zhiyuan Liu 001; Xiao Chen 012; Maosong Sun 001 (ACL/IJCNLP (Findings), 2021)

Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger. - Fanchao Qi; Mukai Li; Yangyi Chen; Zhengyan Zhang; Zhiyuan Liu 001; Yasheng Wang; Maosong Sun 001 (ACL/IJCNLP (1), 2021)

QoE-Fairness Tradeoff Scheme for Dynamic Spectrum Allocation Based on Deep Reinforcement Learning. - Le Tong; Yangyi Chen; Xin Zhou; Yifu Sun (CSAE, 2021)

Multi-granularity Textual Adversarial Attack with Behavior Cloning. - Yangyi Chen; Jin Su; Wei Wei 002 (EMNLP (1), 2021)

ONION: A Simple and Effective Defense Against Textual Backdoor Attacks. - Fanchao Qi; Yangyi Chen; Mukai Li; Yuan Yao 013; Zhiyuan Liu 001; Maosong Sun 001 (EMNLP (1), 2021)

Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer. - Fanchao Qi; Yangyi Chen; Xurui Zhang; Mukai Li; Zhiyuan Liu 001; Maosong Sun 001 (EMNLP (1), 2021)

Textual Backdoor Attacks Can Be More Harmful via Two Simple Tricks. - Yangyi Chen; Fanchao Qi; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2021)

Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP. - Yangyi Chen; Hongcheng Gao; Ganqu Cui; Fanchao Qi; Longtao Huang; Zhiyuan Liu 001; Maosong Sun 001 (EMNLP, 2022)

Textual Backdoor Attacks Can Be More Harmful via Two Simple Tricks. - Yangyi Chen; Fanchao Qi; Hongcheng Gao; Zhiyuan Liu 001; Maosong Sun 001 (EMNLP, 2022)

Exploring the Universal Vulnerability of Prompt-based Learning Paradigm. - Lei Xu 040; Yangyi Chen; Ganqu Cui; Hongcheng Gao; Zhiyuan Liu 001 (NAACL-HLT (Findings), 2022)

A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks. - Ganqu Cui; Lifan Yuan; Bingxiang He; Yangyi Chen; Zhiyuan Liu 001; Maosong Sun 001 (NeurIPS, 2022)

Moderate-fitting as a Natural Backdoor Defender for Pre-trained Language Models. - Biru Zhu; Yujia Qin; Ganqu Cui; Yangyi Chen; Weilin Zhao; Chong Fu; Yangdong Deng; Zhiyuan Liu 001; Jingang Wang; Wei Wu 014; Maosong Sun 001; Ming Gu 001 (NeurIPS, 2022)

Making Pre-trained Language Models both Task-solvers and Self-calibrators. - Yangyi Chen; Xingyao Wang 002; Heng Ji 001 (ACL (Findings), 2023)

From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework. - Yangyi Chen; Hongcheng Gao; Ganqu Cui; Lifan Yuan; Dehan Kong; Hanlu Wu; Ning Shi; Bo Yuan; Longtao Huang; Hui Xue 001; Zhiyuan Liu 001; Maosong Sun 001; et al. (ACL (Findings), 2023)

A Close Look into the Calibration of Pre-trained Language Models. - Yangyi Chen; Lifan Yuan; Ganqu Cui; Zhiyuan Liu 001; Heng Ji 001 (ACL (1), 2023)

Bridge the Gap Between CV and NLP! A Gradient-based Textual Adversarial Attack Framework. - Lifan Yuan; Yichi Zhang; Yangyi Chen; Wei Wei 002 (ACL (Findings), 2023)

ViStruct: Visual Structural Knowledge Extraction via Curriculum Guided Code-Vision Representation. - Yangyi Chen; Xingyao Wang 002; Manling Li; Derek Hoiem; Heng Ji 001 (EMNLP, 2023)

Beat LLMs at Their Own Game: Zero-Shot LLM-Generated Text Detection via Querying ChatGPT. - Biru Zhu; Lifan Yuan; Ganqu Cui; Yangyi Chen; Chong Fu; Bingxiang He; Yangdong Deng; Zhiyuan Liu 001; Maosong Sun 001; Ming Gu 001 (EMNLP, 2023)

Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations. - Lifan Yuan; Yangyi Chen; Ganqu Cui; Hongcheng Gao; Fangyuan Zou; Xingyi Cheng; Heng Ji 001; Zhiyuan Liu 001; Maosong Sun 001 (NeurIPS, 2023)

Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations. - Lifan Yuan; Yangyi Chen; Ganqu Cui; Hongcheng Gao; Fangyuan Zou; Xingyi Cheng; Heng Ji 001; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2023)

R-Tuning: Teaching Large Language Models to Refuse Unknown Questions. - Hanning Zhang; Shizhe Diao; Yong Lin; Yi R. Fung 001; Qing Lian; Xingyao Wang 002; Yangyi Chen; Heng Ji 001; Tong Zhang 001 (CoRR, 2023)

Prudent Silence or Foolish Babble? Examining Large Language Models' Responses to the Unknown. - Genglin Liu; Xingyao Wang 002; Lifan Yuan; Yangyi Chen; Hao Peng 009 (CoRR, 2023)

Removing Backdoors in Pre-trained Models by Regularized Continual Pre-training. - Biru Zhu; Ganqu Cui; Yangyi Chen; Yujia Qin; Lifan Yuan; Chong Fu; Yangdong Deng; Zhiyuan Liu 001; Maosong Sun 001; Ming Gu 001 (Trans. Assoc. Comput. Linguistics, 2023)

DRESS : Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language Feedback. - Yangyi Chen; Karan Sikka; Michael Cogswell; Heng Ji; Ajay Divakaran (CVPR, 2024)

SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales. - Tianyang Xu; Shujin Wu; Shizhe Diao; Xiaoze Liu; Xingyao Wang 002; Yangyi Chen; Jing Gao 004 (EMNLP, 2024)

MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback. - Xingyao Wang 002; Zihan Wang 010; Jiateng Liu; Yangyi Chen; Lifan Yuan; Hao Peng 009; Heng Ji 001 (ICLR, 2024)

CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets. - Lifan Yuan; Yangyi Chen; Xingyao Wang 002; Yi Fung 001; Hao Peng 009; Heng Ji 001 (ICLR, 2024)

Executable Code Actions Elicit Better LLM Agents. - Xingyao Wang 002; Yangyi Chen; Lifan Yuan; Yizhe Zhang 002; Yunzhu Li; Hao Peng 009; Heng Ji 001 (ICML, 2024)

MIRACLE: An Online, Explainable Multimodal Interactive Concept Learning System. - Ansel Blume; Khanh Duy Nguyen; Zhenhailong Wang; Yangyi Chen; Michal Shlapentokh-Rothman; Xiaomeng Jin; Jeonghwan Kim; Zhen Zhu 006; Jiateng Liu; Kuan-Hao Huang; Mankeerat Sidhu; Xuanming Zhang; et al. (ACM Multimedia, 2024)

Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models. - Yangyi Chen; Karan Sikka; Michael Cogswell; Heng Ji; Ajay Divakaran (NAACL-HLT, 2024)

R-Tuning: Instructing Large Language Models to Say 'I Don't Know'. - Hanning Zhang; Shizhe Diao; Yong Lin; Yi R. Fung 001; Qing Lian; Xingyao Wang 002; Yangyi Chen; Heng Ji 001; Tong Zhang 001 (NAACL-HLT, 2024)

A Single Transformer for Scalable Vision-Language Modeling. - Yangyi Chen; Xingyao Wang 002; Hao Peng 009; Heng Ji 001 (Trans. Mach. Learn. Res., 2024)

Scaling Laws for Predicting Downstream Performance in LLMs. - Yangyi Chen; Binxuan Huang; Yifan Gao 001; Zhengyang Wang; Jingfeng Yang 001; Heng Ji 001 (Trans. Mach. Learn. Res., 2025)

OpenOmni: Large Language Models Pivot Zero-shot Omnimodal Alignment across Language with Real-time Self-Aware Emotional Speech Synthesis. - Run Luo; Ting-En Lin; Haonan Zhang; Yuchuan Wu; Xiong Liu; Min Yang 007; Yongbin Li; Longze Chen; Jiaming Li 004; Lei Zhang 201; Yangyi Chen; Hamid Alinejad-Rokny; et al. (CoRR, 2025)

SyncMind: Measuring Agent Out-of-Sync Recovery in Collaborative Software Engineering. - Xuehang Guo; Xingyao Wang 002; Yangyi Chen; Sha Li; Chi Han; Manling Li; Heng Ji 001 (CoRR, 2025)

Prioritizing Image-Related Tokens Enhances Vision-Language Pre-Training. - Yangyi Chen; Hao Peng; Tong Zhang; Heng Ji (CoRR, 2025)

Perception-Aware Policy Optimization for Multimodal Reasoning. - Zhenhailong Wang; Xuehang Guo; Sofia Stoica; Haiyang Xu 001; Hongru Wang 011; Hyeonjeong Ha; Xiusi Chen; Yangyi Chen; Ming Yan 008; Fei Huang 002; Heng Ji 001 (CoRR, 2025)