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Yixin Liu

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

73

Venues

22

Active years

2021–2026

Best venue rank

A*

Where they publish

Papers

73 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIVision-MoR: Scaling Vision Transformer via Patch-Level Mixture-of-Recursions.Yunhong He, Zhengqing Yuan, Weixiang Sun, Yiyang Li, Yixin Liu, Yanfang Ye, Lichao Sun
2026AAAIAssemble Your Crew: Automatic Multi-agent Communication Topology Design via Autoregressive Graph Generation.Shiyuan Li, Yixin Liu, Qingsong Wen, Chengqi Zhang, Shirui Pan
2026AAAICorrecting False Alarms from Unseen: Adapting Graph Anomaly Detectors at Test Time.Junjun Pan, Yixin Liu, Chuan Zhou, Fei Xiong, Alan Wee-Chung Liew, Shirui Pan
2026ACLBlindGuard: Safeguarding LLM-based Multi-Agent Systems under Unknown Attacks.Rui Miao, Yixin Liu, Yili Wang, Xu Shen, Yue Tan, Yiwei Dai, Shirui Pan, Xin Wang
2026ACLExplainable and Fine-Grained Safeguarding of LLM Multi-Agent Systems via Bi-Level Graph Anomaly Detection.Junjun Pan, Yixin Liu, Rui Miao, Kaize Ding, Yu Zheng, Quoc Viet Hung Nguyen, Alan Wee-Chung Liew, Shirui Pan
2026KDDRethinking and Red-Teaming Protective Perturbation in Personalized Diffusion Models.Yixin Liu, Ruoxi Chen, Xun Chen, Lichao Sun
2026PAKDDIAMRec: Intent-Adaptive Multimodal Recommendation with Collaborative-Modality Disentanglement.Jiayi Chen, Xin Zheng, Yixin Liu, Yi Li, Yongqiang Guo, Shirui Pan
2026WWWOFA-MAS: One-for-All Multi-Agent System Topology Design based on Mixture-of-Experts Graph Generative Models.Shiyuan Li, Yixin Liu, Yu Zheng, Mei Li, Quoc Viet Hung Nguyen, Shirui Pan
2026SENSYSSingSprite: Non-Tactile Appliance Interaction for the Blind through Power-Supply Acoustic Signatures.Lanqing Yang, Weiyi Wang, Yongzhao Zhang, Yixin Liu, Yi-Chao Chen, Guangtao Xue, Ahmad Ali
2025AAAIA Label-free Heterophily-guided Approach for Unsupervised Graph Fraud Detection.Junjun Pan, Yixin Liu, Xin Zheng, Yizhen Zheng, Alan Wee-Chung Liew, Fuyi Li, Shirui Pan
2025AAAIEvaluating Mathematical Reasoning Beyond Accuracy.Shijie Xia, Xuefeng Li, Yixin Liu, Tongshuang Wu, Pengfei Liu
2025ACLAbGen: Evaluating Large Language Models in Ablation Study Design and Evaluation for Scientific Research.Yilun Zhao, Weiyuan Chen, Zhijian Xu, Manasi Patwardhan, Chengye Wang, Yixin Liu, Lovekesh Vig, Arman Cohan
2025ACLPhysics: Benchmarking Foundation Models on University-Level Physics Problem Solving.Kaiyue Feng, Yilun Zhao, Yixin Liu, Tianyu Yang, Chen Zhao, John Sous, Arman Cohan
2025CIKMFreeGAD: A Training-Free yet Effective Approach for Graph Anomaly Detection.Yunfeng Zhao, Yixin Liu, Shiyuan Li, Qingfeng Chen, Yu Zheng, Shirui Pan
2025CVPRMMVU: Measuring Expert-Level Multi-Discipline Video Understanding.Yilun Zhao, Haowei Zhang, Lujing Xie, Tongyan Hu, Guo Gan, Yitao Long, Zhiyuan Hu, Weiyuan Chen, Chuhan Li, Zhijian Xu, Chengye Wang, Ziyao Shangguan, Zhenwen Liang, Yixin Liu, Chen Zhao, Arman Cohan
2025EMNLPCourtReasoner: Can LLM Agents Reason Like Judges?Sophia Simeng Han, Yoshiki Takashima, Shannon Zejiang Shen, Chen Liu, Yixin Liu, Roque K. Thuo, Sonia Knowlton, Ruzica Piskac, Scott J. Shapiro, Arman Cohan
2025EMNLPUnderstanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems.Xu Shen, Yixin Liu, Yiwei Dai, Yili Wang, Rui Miao, Yue Tan, Shirui Pan, Xin Wang
2025ICLRUnifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark.Yili Wang, Yixin Liu, Xu Shen, Chenyu Li, Rui Miao, Kaize Ding, Ying Wang, Shirui Pan, Xin Wang
2025ICMLXAttnMark: Learning Robust Audio Watermarking with Cross-Attention.Yixin Liu, Lie Lu, Jihui Jin, Lichao Sun, Andrea Fanelli
2025NAACLRe-evaluating Automatic LLM System Ranking for Alignment with Human Preference.Mingqi Gao, Yixin Liu, Xinyu Hu, Xiaojun Wan, Jonathan Bragg, Arman Cohan
2025NAACLUnderstanding Reference Policies in Direct Preference Optimization.Yixin Liu, Pengfei Liu, Arman Cohan
2025NAACLReIFE: Re-evaluating Instruction-Following Evaluation.Yixin Liu, Kejian Shi, Alexander R. Fabbri, Yilun Zhao, Peifeng Wang, Chien-Sheng Wu, Shafiq Joty, Arman Cohan
2025NAACLSCIURus: Shared Circuits for Interpretable Uncertainty Representations in Language Models.Carter Teplica, Yixin Liu, Arman Cohan, Tim G. J. Rudner
2025PAKDDSpecG: A Spectral-Based Framework for Effective Graph Pretraining and Knowledge Transfer.Zizhe Jin, Yizhen Zheng, Linhao Luo, Yixin Liu, Xin Zheng, Xuefei Yin, Vincent Lee, Shirui Pan
2024AAAIStable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise.Yixin Liu, Kaidi Xu, Xun Chen, Lichao Sun
2024AAAIGOODAT: Towards Test-Time Graph Out-of-Distribution Detection.Luzhi Wang, Dongxiao He, He Zhang, Yixin Liu, Wenjie Wang, Shirui Pan, Di Jin, Tat-Seng Chua
2024ACLDocMath-Eval: Evaluating Math Reasoning Capabilities of LLMs in Understanding Financial Documents.Yilun Zhao, Yitao Long, Hongjun Liu, Ryo Kamoi, Linyong Nan, Lyuhao Chen, Yixin Liu, Xiangru Tang, Rui Zhang, Arman Cohan
2024ACLRethinking Efficient Multilingual Text Summarization Meta-Evaluation.Rilyn Han, Jiawen Chen, Yixin Liu, Arman Cohan
2024CIKMSelf-Supervision Improves Diffusion Models for Tabular Data Imputation.Yixin Liu, Thalaiyasingam Ajanthan, Hisham Husain, Vu Nguyen
2024CIKMNoise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation.Shiyuan Li, Yixin Liu, Qingfeng Chen, Geoffrey I. Webb, Shirui Pan
2024CVPRMetaCloak: Preventing Unauthorized Subject-Driven Text-to-Image Diffusion-Based Synthesis via Meta-Learning.Yixin Liu, Chenrui Fan, Yutong Dai, Xun Chen, Pan Zhou, Lichao Sun
2024ECCVEditShield: Protecting Unauthorized Image Editing by Instruction-Guided Diffusion Models.Ruoxi Chen, Haibo Jin, Yixin Liu, Jinyin Chen, Haohan Wang, Lichao Sun
2024EMNLPFOLIO: Natural Language Reasoning with First-Order Logic.Simeng Han, Hailey Schoelkopf, Yilun Zhao, Zhenting Qi, Martin Riddell, Wenfei Zhou, James Coady, David Peng, Yujie Qiao, Luke Benson, Lucy Sun, Alexander Wardle-Solano, Hannah Szab, Ekaterina Zubova, Matthew Burtell, Jonathan Fan, Yixin Liu, Brian Wong, Malcolm Sailor, Ansong Ni, Linyong Nan, Jungo Kasai, Tao Yu, Rui Zhang, Alexander R. Fabbri, Wojciech Kryscinski, Semih Yavuz, Ye Liu, Xi Victoria Lin, Shafiq Joty, Yingbo Zhou, Caiming Xiong, Rex Ying, Arman Cohan, Dragomir Radev
2024EMNLPCalibrating Long-form Generations From Large Language Models.Yukun Huang, Yixin Liu, Raghuveer Thirukovalluru, Arman Cohan, Bhuwan Dhingra
2024EMNLPM3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models.Chuhan Li, Ziyao Shangguan, Yilun Zhao, Deyuan Li, Yixin Liu, Arman Cohan
2024HCISmart Digital Technology Driven Experience Design of Job Seeking Social Skills Training for University Students in Campus Scenarios via Business Model Innovation.Yixin Liu, Zhen Liu
2024BSNReagent-Less Low-Concentration Cortisol Detection Enabled by Laser-Induced Graphene Electrodes.Verdict Vera, Rourke Sylvain, Tyler Waslawski, Grace Dykstra, Smitha Rao, Yixin Liu
2024ICLRMetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use.Yue Huang, Jiawen Shi, Yuan Li, Chenrui Fan, Siyuan Wu, Qihui Zhang, Yixin Liu, Pan Zhou, Yao Wan, Neil Zhenqiang Gong, Lichao Sun
2024ICMLImproving Interpretation Faithfulness for Vision Transformers.Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang
2024ICMLPosition: TrustLLM: Trustworthiness in Large Language Models.Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao
2024KDDDivide and Denoise: Empowering Simple Models for Robust Semi-Supervised Node Classification against Label Noise.Kaize Ding, Xiaoxiao Ma, Yixin Liu, Shirui Pan
2024NAACLBenchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization.Yixin Liu, Alexander R. Fabbri, Jiawen Chen, Yilun Zhao, Simeng Han, Shafiq Joty, Pengfei Liu, Dragomir Radev, Chien-Sheng Wu, Arman Cohan
2024NAACLOn Learning to Summarize with Large Language Models as References.Yixin Liu, Kejian Shi, Katherine He, Longtian Ye, Alexander R. Fabbri, Pengfei Liu, Dragomir Radev, Arman Cohan
2024NAACLOn the Role of Summary Content Units in Text Summarization Evaluation.Marcel Nawrath, Agnieszka Nowak, Tristan Ratz, Danilo C. Walenta, Juri Opitz, Leonardo F. R. Ribeiro, Joo Sedoc, Daniel Deutsch, Simon Mille, Yixin Liu, Sebastian Gehrmann, Lining Zhang, Saad Mahamood, Miruna Clinciu, Khyathi Raghavi Chandu, Yufang Hou
2024NAACLFair Abstractive Summarization of Diverse Perspectives.Yusen Zhang, Nan Zhang, Yixin Liu, Alexander R. Fabbri, Junru Liu, Ryo Kamoi, Xiaoxin Lu, Caiming Xiong, Jieyu Zhao, Dragomir Radev, Kathleen R. McKeown, Rui Zhang
2023AAAISEAT: Stable and Explainable Attention.Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang
2023AAAIBeyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating.Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent C. S. Lee, Shirui Pan
2023AAAIFederated Learning on Non-IID Graphs via Structural Knowledge Sharing.Yue Tan, Yixin Liu, Guodong Long, Jing Jiang, Qinghua Lu, Chengqi Zhang
2023ACLOn Improving Summarization Factual Consistency from Natural Language Feedback.Yixin Liu, Budhaditya Deb, Milagro Teruel, Aaron Halfaker, Dragomir Radev, Ahmed Hassan Awadallah
2023ACLRevisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation.Yixin Liu, Alexander R. Fabbri, Pengfei Liu, Yilun Zhao, Linyong Nan, Ruilin Han, Simeng Han, Shafiq Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev
2023ACLA Needle in a Haystack: An Analysis of High-Agreement Workers on MTurk for Summarization.Lining Zhang, Simon Mille, Yufang Hou, Daniel Deutsch, Elizabeth Clark, Yixin Liu, Saad Mahamood, Sebastian Gehrmann, Miruna Clinciu, Khyathi Raghavi Chandu, Joo Sedoc
2023EMNLPQTSumm: Query-Focused Summarization over Tabular Data.Yilun Zhao, Zhenting Qi, Linyong Nan, Boyu Mi, Yixin Liu, Weijin Zou, Simeng Han, Ruizhe Chen, Xiangru Tang, Yumo Xu, Dragomir Radev, Arman Cohan
2023EMNLPTowards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation.Yixin Liu, Alexander R. Fabbri, Yilun Zhao, Pengfei Liu, Shafiq Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev
2023EMNLPVector-Quantized Prompt Learning for Paraphrase Generation.Haotian Luo, Yixin Liu, Peidong Liu, Xianggen Liu
2023HCIExperience Design to Alleviate Social Anxiety in the Playground Under Smart Campus.Meng Li, Yuqian Yan, Yile Liu, Zhihao Cheng, Yixin Liu
2023ICDMPREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection.Junjun Pan, Yixin Liu, Yizhen Zheng, Shirui Pan
2023iLRNDevelopment of a 3D Modelling Gallery Based on Virtual Reality.Zhaoyu Xu, Mengjie Huang, Rui Yang, Liu Wang, Yixin Liu
2023KDDLearning Strong Graph Neural Networks with Weak Information.Yixin Liu, Kaize Ding, Jianling Wang, Vincent C. S. Lee, Huan Liu, Shirui Pan
2023MMSysEverybody Compose: Deep Beats To Music.Conghao Tom Shen, Violet Z. Yao, Yixin Liu
2023WSDMGOOD-D: On Unsupervised Graph Out-Of-Distribution Detection.Yixin Liu, Kaize Ding, Huan Liu, Shirui Pan
2022ACLBRIO: Bringing Order to Abstractive Summarization.Yixin Liu, Pengfei Liu, Dragomir R. Radev, Graham Neubig
2022ACLDataLab: A Platform for Data Analysis and Intervention.Yang Xiao, Jinlan Fu, Weizhe Yuan, Vijay Viswanathan, Zhoumianze Liu, Yixin Liu, Graham Neubig, Pengfei Liu
2022EMNLPLeveraging Locality in Abstractive Text Summarization.Yixin Liu, Ansong Ni, Linyong Nan, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir Radev
2022EMNLPR2D2: Robust Data-to-Text with Replacement Detection.Linyong Nan, Lorenzo Jaime Yu Flores, Yilun Zhao, Yixin Liu, Luke Benson, Weijin Zou, Dragomir Radev
2022IECONAnalysis of the influence of train operation diagram adjustment on the working state and life of IGBT module of traction converter.Baocheng Liu, Yixin Liu, Hu Sun, Zhongping Yang, Xianjin Huang
2022LRECSurfer100: Generating Surveys From Web Resources, Wikipedia-style.Irene Li, Alexander R. Fabbri, Rina Kawamura, Yixin Liu, Xiangru Tang, Jaesung Tae, Chang Shen, Sally Ma, Tomoe Mizutani, Dragomir Radev
2022WWWTowards Unsupervised Deep Graph Structure Learning.Yixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng, Shirui Pan
2021ACLSimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization.Yixin Liu, Pengfei Liu
2021ACLExplainaBoard: An Explainable Leaderboard for NLP.Pengfei Liu, Jinlan Fu, Yang Xiao, Weizhe Yuan, Shuaichen Chang, Junqi Dai, Yixin Liu, Zihuiwen Ye, Graham Neubig
2021CIKMANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning.Ming Jin, Yixin Liu, Yu Zheng, Lianhua Chi, Yuan-Fang Li, Shirui Pan
2021ICMLAIdentification and validation of a radiomic signature for predicting survival outcomes in non-small-cell lung cancer treated with radiation therapy.Jin Li, Yixin Liu, Jingquan Wu
2021NAACLRefSum: Refactoring Neural Summarization.Yixin Liu, Zi-Yi Dou, Pengfei Liu
2021NAACLOn Learning Text Style Transfer with Direct Rewards.Yixin Liu, Graham Neubig, John Wieting