Skip to content
cs-conference-ranking.org

Xianfeng Tang

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

62

Venues

17

Active years

2010–2026

Best venue rank

A*

Where they publish

Papers

62 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIHarnessing the Unseen: The Hidden Influence of Intrinsic Knowledge in Long-Context Language Models.Yu Fu, Haz Sameen Shahgir, Hui Liu, Xianfeng Tang, Qi He, Yue Dong
2026ACLA Reward-Guided Dual-Phase Framework for Adaptive Inference-Time Reasoning.Yingqian Cui, Zhenwei Dai, Pengfei He, Bing He, Hui Liu, Zhan Shi, Xianfeng Tang, Jingying Zeng, Suhang Wang, Yue Xing, Jiliang Tang, Benoit Dumoulin
2026ACLBeyond Chunks and Graphs: Retrieval-Augmented Generation through Triplet-Driven Thinking.Shengbo Gong, Xianfeng Tang, Qi He, Carl Yang, Wei Jin
2026ACLCan Large Language Models Adequately Perform Symbolic Reasoning Over Time Series?Zewen Liu, Juntong Ni, Xianfeng Tang, Max S. Y. Lau, Qi He, Wenpeng Yin, Wei Jin
2026ACLGraph-Assisted Large Language Models: A Perspective on Mitigating Intrinsic Limitations.Haitong Luo, Fali Wang, Weiyao Zhang, Xianren Zhang, Zhiwei Zhang, Tianxiang Zhao, Minhua Lin, Jiahao Zhang, Hui Liu, Xianfeng Tang, Qi He, Suhang Wang, Xuying Meng, Yujun Zhang
2026ACLTrajectory2Task: Training Robust Tool-Calling Agents with Synthesized Yet Verifiable Data for Complex User Intents.Ziyi Wang, Yuxuan Lu, Yimeng Zhang, Pei Chen, Ziwei Dong, Jing Huang, Jiri Gesi, Xianfeng Tang, Chen Luo, Qun Liu, Yisi Sang, Hanqing Lu, Manling Li, Jin Lai, Dakuo Wang
2025ACLReasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning.Haoyu Han, Yaochen Xie, Hui Liu, Xianfeng Tang, Sreyashi Nag, William Headden, Yang Li, Chen Luo, Shuiwang Ji, Qi He, Jiliang Tang
2025ACLA General Framework to Enhance Fine-tuning-based LLM Unlearning.Jie Ren, Zhenwei Dai, Xianfeng Tang, Hui Liu, Jingying Zeng, Zhen Li, Rahul Goutam, Suhang Wang, Yue Xing, Qi He, Hui Liu
2025ACLStepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models.Yingqian Cui, Pengfei He, Jingying Zeng, Hui Liu, Xianfeng Tang, Zhenwei Dai, Yan Han, Chen Luo, Jing Huang, Zhen Li, Suhang Wang, Yue Xing, Jiliang Tang, Qi He
2025ACLDivide-Verify-Refine: Can LLMs Self-align with Complex Instructions?Xianren Zhang, Xianfeng Tang, Hui Liu, Zongyu Wu, Qi He, Dongwon Lee, Suhang Wang
2025AISTATSA Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration.Yingqian Cui, Pengfei He, Xianfeng Tang, Qi He, Chen Luo, Jiliang Tang, Yue Xing
2025EMNLPDrAgent: Empowering Large Language Models as Medical Agents for Multi-hop Medical Reasoning.Fenglin Liu, Zheng Li, Hongjian Zhou, Qingyu Yin, Jingfeng Yang, Xin Liu, Zhengyang Wang, Xianfeng Tang, Shiyang Li, Xiang He, Ruijie Wang, Bing Yin, Xiao Gu, Lei A. Clifton, David A. Clifton
2025EMNLPLearning to Instruct: Fine-Tuning a Task-Aware Instruction Optimizer for Black-Box LLMs.Yunzhe Qi, Jinjin Tian, Tianci Liu, Ruirui Li, Tianxin Wei, Hui Liu, Xianfeng Tang, Monica Xiao Cheng, Jingrui He
2025EMNLPViLBench: A Suite for Vision-Language Process Reward Modeling.Haoqin Tu, Weitao Feng, Hardy Chen, Hui Liu, Xianfeng Tang, Cihang Xie
2025EMNLPSUA: Stealthy Multimodal Large Language Model Unlearning Attack.Xianren Zhang, Hui Liu, Delvin Ce Zhang, Xianfeng Tang, Qi He, Dongwon Lee, Suhang Wang
2025EMNLPBeyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation.Jiankun Zhang, Shenglai Zeng, Jie Ren, Tianqi Zheng, Hui Liu, Xianfeng Tang, Hui Liu, Yi Chang
2025ICLRUnlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning.Tianci Liu, Ruirui Li, Yunzhe Qi, Hui Liu, Xianfeng Tang, Tianqi Zheng, Qingyu Yin, Monica Xiao Cheng, Jun Huan, Haoyu Wang, Jing Gao
2025ICLRCatastrophic Failure of LLM Unlearning via Quantization.Zhiwei Zhang, Fali Wang, Xiaomin Li, Zongyu Wu, Xianfeng Tang, Hui Liu, Qi He, Wenpeng Yin, Suhang Wang
2025ICMLMitigating Heterogeneous Token Overfitting in LLM Knowledge Editing.Tianci Liu, Ruirui Li, Zihan Dong, Hui Liu, Xianfeng Tang, Qingyu Yin, Linjun Zhang, Haoyu Wang, Jing Gao
2025KDDThe 2nd Workshop on Large Language Models for E-Commerce.Haoyu Han, Fali Wang, Chen Luo, Hui Liu, Jing Huang, Zhen Li, Zhenwei Dai, Qi He, Yiwei Sun, Dawei Yin, Suhang Wang, Jiliang Tang, Jian Pei, Xianfeng Tang
2025KDDSciSoc LLM Workshop: Large Language Models for Scientific and Societal Advances.Wei Jin, Lu Cheng, Wenpeng Yin, Xianfeng Tang, Qingsong Wen, Danai Koutra, B. Aditya Prakash, Yan Liu
2025KDDResMoE: Space-efficient Compression of Mixture of Experts LLMs via Residual Restoration.Mengting Ai, Tianxin Wei, Yifan Chen, Zhichen Zeng, Ritchie Zhao, Girish Varatkar, Bita Darvish Rouhani, Xianfeng Tang, Hanghang Tong, Jingrui He
2025KDDA Survey on Small Language Models in the Era of Large Language Models: Architecture, Capabilities, and Trustworthiness.Fali Wang, Minhua Lin, Yao Ma, Hui Liu, Qi He, Xianfeng Tang, Jiliang Tang, Jian Pei, Suhang Wang
2025NAACLLearning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data.Juanhui Li, Sreyashi Nag, Hui Liu, Xianfeng Tang, Sheikh Muhammad Sarwar, Limeng Cui, Hansu Gu, Suhang Wang, Qi He, Jiliang Tang
2025NAACLSimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains.Ran Xu, Hui Liu, Sreyashi Nag, Zhenwei Dai, Yaochen Xie, Xianfeng Tang, Chen Luo, Yang Li, Joyce C. Ho, Carl Yang, Qi He
2025NAACLIHEval: Evaluating Language Models on Following the Instruction Hierarchy.Zhihan Zhang, Shiyang Li, Zixuan Zhang, Xin Liu, Haoming Jiang, Xianfeng Tang, Yifan Gao, Zheng Li, Haodong Wang, Zhaoxuan Tan, Yichuan Li, Qingyu Yin, Bing Yin, Meng Jiang
2025WWWLarge Language Model for E-Commerce Workshop.Haoyu Han, Xianfeng Tang, Jing Huang, Monica Xiao Cheng, Omar Alonso, Hanqing Lu, Zhen Li, Chen Luo, Dawei Yin, Jiliang Tang
2025SIGIRExamples as the Prompt: A Scalable Approach for Efficient LLM Adaptation in E-Commerce.Jingying Zeng, Zhenwei Dai, Hui Liu, Samarth Varshney, Zhiji Liu, Chen Luo, Zhen Li, Qi He, Xianfeng Tang
2024ACLGraph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs.Bowen Jin, Chulin Xie, Jiawei Zhang, Kashob Kumar Roy, Yu Zhang, Zheng Li, Ruirui Li, Xianfeng Tang, Suhang Wang, Yu Meng, Jiawei Han
2024EMNLPLarge Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark.Fenglin Liu, Zheng Li, Hongjian Zhou, Qingyu Yin, Jingfeng Yang, Xianfeng Tang, Chen Luo, Ming Zeng, Haoming Jiang, Yifan Gao, Priyanka Nigam, Sreyashi Nag, Bing Yin, Yining Hua, Xuan Zhou, Omid Rohanian, Anshul Thakur, Lei A. Clifton, David A. Clifton
2024EMNLPSequential LLM Framework for Fashion Recommendation.Han Liu, Xianfeng Tang, Tianlang Chen, Jiapeng Liu, Indu Indu, Henry Peng Zou, Peng Dai, Roberto F. Galn, Michael D. Porter, Dongmei Jia, Ning Zhang, Lian Xiong
2024EMNLPBlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering.Haoyu Wang, Ruirui Li, Haoming Jiang, Jinjin Tian, Zhengyang Wang, Chen Luo, Xianfeng Tang, Monica Xiao Cheng, Tuo Zhao, Jing Gao
2024ICDELightLT: A Lightweight Representation Quantization Framework for Long-Tail Data.Haoyu Wang, Ruirui Li, Zhengyang Wang, Xianfeng Tang, Danqing Zhang, Monica Xiao Cheng, Bing Yin, Jasha Droppo, Suhang Wang, Jing Gao
2024ICLRRA-NER: Retrieval augmented NER for knowledge intensive named entity recognition.Zhenwei Dai, Chen Luo, Zhen Li, Xianfeng Tang, Hanqing Lu, Rahul Goutam, Haiyang Zhang
2024ICLRSession-Aware Product filter Ranking in E- Commerce Search.Hanqing Lu, Xianfeng Tang, Chen Luo, Limeng Cui, Zhenwei Dai, Rahul Goutam, Haiyang Zhang, Monica Xiao Cheng
2024ICLRTowards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond.Tianxin Wei, Bowen Jin, Ruirui Li, Hansi Zeng, Zhengyang Wang, Jianhui Sun, Qingyu Yin, Hanqing Lu, Suhang Wang, Jingrui He, Xianfeng Tang
2024ICMLLanguage Models as Semantic Indexers.Bowen Jin, Hansi Zeng, Guoyin Wang, Xiusi Chen, Tianxin Wei, Ruirui Li, Zhengyang Wang, Zheng Li, Yang Li, Hanqing Lu, Suhang Wang, Jiawei Han, Xianfeng Tang
2024WWWThe 1st International Workshop on Graph Foundation Models (GFM).Haitao Mao, Jianan Zhao, Xiaoxin He, Zhikai Chen, Qian Huang, Zhaocheng Zhu, Jian Tang, Michael M. Bronstein, Xavier Bresson, Bryan Hooi, Haiyang Zhang, Xianfeng Tang, Luo Chen, Jiliang Tang
2023ICDEJointly Attacking Graph Neural Network and its Explanations.Wenqi Fan, Han Xu, Wei Jin, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Qing Li, Jiliang Tang, Jianping Wang, Charu C. Aggarwal
2023ICLRHomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers.Chen Liang, Haoming Jiang, Zheng Li, Xianfeng Tang, Bing Yin, Tuo Zhao
2023KDDExploiting Intent Evolution in E-commercial Query Recommendation.Yu Wang, Zhengyang Wang, Hengrui Zhang, Qingyu Yin, Xianfeng Tang, Yinghan Wang, Danqing Zhang, Limeng Cui, Monica Xiao Cheng, Bing Yin, Suhang Wang, Philip S. Yu
2023KDDA Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy.Enyan Dai, Limeng Cui, Zhengyang Wang, Xianfeng Tang, Yinghan Wang, Monica Xiao Cheng, Bing Yin, Suhang Wang
2023KDDLightToken: A Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language Models.Haoyu Wang, Ruirui Li, Haoming Jiang, Zhengyang Wang, Xianfeng Tang, Bin Bi, Monica Xiao Cheng, Bing Yin, Yaqing Wang, Tuo Zhao, Jing Gao
2023PAKDDYou Need to Look Globally: Discovering Representative Topology Structures to Enhance Graph Neural Network.Huaisheng Zhu, Xianfeng Tang, Tianxiang Zhao, Suhang Wang
2022KDDCondensing Graphs via One-Step Gradient Matching.Wei Jin, Xianfeng Tang, Haoming Jiang, Zheng Li, Danqing Zhang, Jiliang Tang, Bing Yin
2022WWWALLIE: Active Learning on Large-scale Imbalanced Graphs.Limeng Cui, Xianfeng Tang, Sumeet Katariya, Nikhil Rao, Pallav Agrawal, Karthik Subbian, Dongwon Lee
2022WSDMFriend Story Ranking with Edge-Contextual Local Graph Convolutions.Xianfeng Tang, Yozen Liu, Xinran He, Suhang Wang, Neil Shah
2021WWWSrVARM: State Regularized Vector Autoregressive Model for Joint Learning of Hidden State Transitions and State-Dependent Inter-Variable Dependencies from Multi-variate Time Series.Tsung-Yu Hsieh, Yiwei Sun, Xianfeng Tang, Suhang Wang, Vasant G. Honavar
2020AAAIJoint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values.Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Charu C. Aggarwal, Prasenjit Mitra, Suhang Wang
2020CIKMInvestigating and Mitigating Degree-Related Biases in Graph Convoltuional Networks.Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Yiqi Wang, Jiliang Tang, Charu C. Aggarwal, Prasenjit Mitra, Suhang Wang
2020CIKMSemi-Supervised Graph-to-Graph Translation.Tianxiang Zhao, Xianfeng Tang, Xiang Zhang, Suhang Wang
2020KDDGraph Structure Learning for Robust Graph Neural Networks.Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Jiliang Tang
2020KDDKnowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps.Xianfeng Tang, Yozen Liu, Neil Shah, Xiaolin Shi, Prasenjit Mitra, Suhang Wang
2020WWWAdversarial Attacks on Graph Neural Networks via Node Injections: A Hierarchical Reinforcement Learning Approach.Yiwei Sun, Suhang Wang, Xianfeng Tang, Tsung-Yu Hsieh, Vasant G. Honavar
2020WSDMTransferring Robustness for Graph Neural Network Against Poisoning Attacks.Xianfeng Tang, Yandong Li, Yiwei Sun, Huaxiu Yao, Prasenjit Mitra, Suhang Wang
2019AAAIRevisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction.Huaxiu Yao, Xianfeng Tang, Hua Wei, Guanjie Zheng, Zhenhui Li
2019IJCAIMEGAN: A Generative Adversarial Network for Multi-View Network Embedding.Yiwei Sun, Suhang Wang, Tsung-Yu Hsieh, Xianfeng Tang, Vasant G. Honavar
2019WWWJoint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference.Xianfeng Tang, Boqing Gong, Yanwei Yu, Huaxiu Yao, Yandong Li, Haiyong Xie, Xiaoyu Wang
2019WWWLearning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction.Huaxiu Yao, Yiding Liu, Ying Wei, Xianfeng Tang, Zhenhui Li
2018AAAIDeep Multi-View Spatial-Temporal Network for Taxi Demand Prediction.Huaxiu Yao, Fei Wu, Jintao Ke, Xianfeng Tang, Yitian Jia, Siyu Lu, Pinghua Gong, Jieping Ye, Zhenhui Li
2018DASFAARepresentation Learning for Large-Scale Dynamic Networks.Yanwei Yu, Huaxiu Yao, Hongjian Wang, Xianfeng Tang, Zhenhui Li
2010WoWMoMNext-generation E-health communication infrastructure using converged super-broadband optical and wireless access system.Arshad Chowdhury, Hung-Chang Chien, Sourabh Khire, Shu-Hao Fan, Xianfeng Tang, Nikil Jayant, Gee-Kung Chang