Optimization of Phase Regenerator in Differential Phase-Shift Keying Format Communication System. - Lixia Xi; Xianfeng Tang; Shaokang Wang; Xiaoguang Zhang 001 (CSO (1), 2009)

Next-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 (WOWMOM, 2010)

Dual-Mode Index Modulation Aided OFDM With Constellation Power Allocation and Low-Complexity Detector Design. - Xuekun Zhang; Hongxia Bie; Qianwen Ye; Chunyang Lei; Xianfeng Tang (IEEE Access, 2017)

Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction. - Huaxiu Yao; Fei Wu 007; Jintao Ke; Xianfeng Tang; Yitian Jia; Siyu Lu; Pinghua Gong; Jieping Ye; Zhenhui Li (AAAI, 2018)

Representation Learning for Large-Scale Dynamic Networks. - Yanwei Yu; Huaxiu Yao; Hongjian Wang 002; Xianfeng Tang; Zhenhui Li (DASFAA (2), 2018)

Modeling Spatial-Temporal Dynamics for Traffic Prediction. - Huaxiu Yao; Xianfeng Tang; Hua Wei 001; Guanjie Zheng; Yanwei Yu; Zhenhui Li (CoRR, 2018)

Hybrid Adaptive Cubature Kalman Filter with Unknown Variance of Measurement Noise. - Yuepeng Shi; Xianfeng Tang; Xiaoliang Feng; Dingjun Bian; Xizhao Zhou (Sensors, 2018)

Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction. - Huaxiu Yao; Xianfeng Tang; Hua Wei 001; Guanjie Zheng; Zhenhui Li (AAAI, 2019)

MEGAN: A Generative Adversarial Network for Multi-View Network Embedding. - Yiwei Sun; Suhang Wang; Tsung-Yu Hsieh; Xianfeng Tang; Vasant G. Honavar (IJCAI, 2019)

Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference. - Xianfeng Tang; Boqing Gong; Yanwei Yu; Huaxiu Yao; Yandong Li; Haiyong Xie 001; Xiaoyu Wang 002 (WWW, 2019)

Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction. - Huaxiu Yao; Yiding Liu; Ying Wei 001; Xianfeng Tang; Zhenhui Li (WWW, 2019)

Robust Graph Neural Network Against Poisoning Attacks via Transfer Learning. - Xianfeng Tang; Yandong Li; Yiwei Sun; Huaxiu Yao; Prasenjit Mitra; Suhang Wang (CoRR, 2019)

Node Injection Attacks on Graphs via Reinforcement Learning. - Yiwei Sun; Suhang Wang; Xianfeng Tang; Tsung-Yu Hsieh; Vasant G. Honavar (CoRR, 2019)

A Simple Baseline for Travel Time Estimation using Large-scale Trip Data. - Hongjian Wang 002; Xianfeng Tang; Yu-Hsuan Kuo; Daniel Kifer; Zhenhui Li (ACM Trans. Intell. Syst. Technol., 2019)

Joint 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 (AAAI, 2020)

Learning Enriched Features for Video Denoising with Convolutional Neural Network. - Xianfeng Tang; Peining Zhen; Ming Kang 003; Hang Yi; Wei Wang; Hai-Bao Chen (APCCAS, 2020)

Investigating and Mitigating Degree-Related Biases in Graph Convoltuional Networks. - Xianfeng Tang; Huaxiu Yao; Yiwei Sun; Yiqi Wang 001; Jiliang Tang; Charu C. Aggarwal; Prasenjit Mitra; Suhang Wang (CIKM, 2020)

Semi-Supervised Graph-to-Graph Translation. - Tianxiang Zhao 001; Xianfeng Tang; Xiang Zhang 001; Suhang Wang (CIKM, 2020)

Graph Structure Learning for Robust Graph Neural Networks. - Wei Jin 009; Yao Ma 001; Xiaorui Liu; Xianfeng Tang; Suhang Wang; Jiliang Tang (KDD, 2020)

Knowing 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 (KDD, 2020)

True Equalization of PDL in Presence of Fast RSOP. - Nan Cui; Xiaoguang Zhang 001; Nannan Zhang; Xianfeng Tang; Lixia Xi (OFC, 2020)

Transferring Robustness for Graph Neural Network Against Poisoning Attacks. - Xianfeng Tang; Yandong Li; Yiwei Sun; Huaxiu Yao; Prasenjit Mitra; Suhang Wang (WSDM, 2020)

Adversarial 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 (WWW, 2020)

Graph Convolutional Networks against Degree-Related Biases. - Xianfeng Tang; Huaxiu Yao; Yiwei Sun; Yiqi Wang 001; Jiliang Tang; Charu C. Aggarwal; Prasenjit Mitra; Suhang Wang (CoRR, 2020)

Find you if you drive: Inferring home locations for vehicles with surveillance camera data. - Kai Chen; Yanwei Yu; Peng Song 002; Xianfeng Tang; Lei Cao 004; Xiangrong Tong (Knowl. Based Syst., 2020)

Layer-constrained variational autoencoding kernel density estimation model for anomaly detection. - Peng Lv; Yanwei Yu; Yangyang Fan; Xianfeng Tang; Xiangrong Tong (Knowl. Based Syst., 2020)

Quantization Noise Suppression with Noise-shaping Technique in DMT-modulated IM/DD Optical Interconnects utilizing Low-resolution DAC. - Ke Bai; Zhibin Luo; Dongdong Zou; Wei Wang 213; Qi Sui; Xianfeng Tang; Fan Li 011; Zhaohui Li (OFC, 2021)

SrVARM: 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 (WWW, 2021)

Citywide Traffic Volume Inference with Surveillance Camera Records. - Yanwei Yu; Xianfeng Tang; Huaxiu Yao; Xiuwen Yi; Zhenhui Li (IEEE Trans. Big Data, 2021)

Condensing Graphs via One-Step Gradient Matching. - Wei Jin 009; Xianfeng Tang; Haoming Jiang; Zheng Li 018; Danqing Zhang; Jiliang Tang; Bing Yin (KDD, 2022)

AutoGDA: Automated Graph Data Augmentation for Node Classification. - Tong Zhao 003; Xianfeng Tang; Danqing Zhang; Haoming Jiang; Nikhil Rao 001; Yiwei Song; Pallav Agrawal; Karthik Subbian; Bing Yin; Meng Jiang 001 (LoG, 2022)

Task-Agnostic Graph Explanations. - Yaochen Xie; Sumeet Katariya; Xianfeng Tang; Edward W. Huang; Nikhil Rao 001; Karthik Subbian; Shuiwang Ji (NeurIPS, 2022)

Friend Story Ranking with Edge-Contextual Local Graph Convolutions. - Xianfeng Tang; Yozen Liu; Xinran He; Suhang Wang; Neil Shah (WSDM, 2022)

ALLIE: Active Learning on Large-scale Imbalanced Graphs. - Limeng Cui; Xianfeng Tang; Sumeet Katariya; Nikhil Rao 001; Pallav Agrawal; Karthik Subbian; Dongwon Lee 001 (WWW, 2022)

MUG: Multi-human Graph Network for 3D Mesh Reconstruction from 2D Pose. - Chenyan Wu; Yandong Li; Xianfeng Tang; James Z. Wang 001 (CoRR, 2022)

Condensing Graphs via One-Step Gradient Matching. - Wei Jin 009; Xianfeng Tang; Haoming Jiang; Zheng Li 018; Danqing Zhang; Jiliang Tang; Bin Ying (CoRR, 2022)

DiP-GNN: Discriminative Pre-Training of Graph Neural Networks. - Simiao Zuo; Haoming Jiang; Qingyu Yin; Xianfeng Tang; Bing Yin; Tuo Zhao (CoRR, 2022)

Short Text Pre-training with Extended Token Classification for E-commerce Query Understanding. - Haoming Jiang; Tianyu Cao 001; Zheng Li 018; Chen Luo 003; Xianfeng Tang; Qingyu Yin; Danqing Zhang; Rahul Goutam; Bing Yin (CoRR, 2022)

Jointly Attacking Graph Neural Network and its Explanations. - Wenqi Fan; Han Xu 002; Wei Jin 009; Xiaorui Liu; Xianfeng Tang; Suhang Wang; Qing Li 001; Jiliang Tang; Jianping Wang 001; Charu C. Aggarwal (ICDE, 2023)

HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers. - Chen Liang 006; Haoming Jiang; Zheng Li 018; Xianfeng Tang; Bing Yin; Tuo Zhao (ICLR, 2023)

Exploiting Intent Evolution in E-commercial Query Recommendation. - Yu Wang 158; Zhengyang Wang; Hengrui Zhang; Qingyu Yin; Xianfeng Tang; Yinghan Wang; Danqing Zhang; Limeng Cui; Monica Xiao Cheng; Bing Yin; Suhang Wang; Philip S. Yu (KDD, 2023)

A 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 (KDD, 2023)

LightToken: A Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language Models. - Haoyu Wang 004; Ruirui Li 002; Haoming Jiang; Zhengyang Wang; Xianfeng Tang; Bin Bi; Monica Xiao Cheng; Bing Yin; Yaqing Wang 001; Tuo Zhao; Jing Gao 004 (KDD, 2023)

Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation. - Wei Jin 009; Haitao Mao; Zheng Li 018; Haoming Jiang; Chen Luo 003; Hongzhi Wen; Haoyu Han 001; Hanqing Lu; Zhengyang Wang; Ruirui Li 002; Zhen Li; Monica Xiao Cheng; et al. (NeurIPS, 2023)

You Need to Look Globally: Discovering Representative Topology Structures to Enhance Graph Neural Network. - Huaisheng Zhu; Xianfeng Tang; Tianxiang Zhao 001; Suhang Wang (PAKDD (2), 2023)

HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers. - Chen Liang 006; Haoming Jiang; Zheng Li 018; Xianfeng Tang; Bin Yin; Tuo Zhao (CoRR, 2023)

Self-Explainable Graph Neural Networks for Link Prediction. - Huaisheng Zhu; Dongsheng Luo; Xianfeng Tang; Junjie Xu; Hui Liu 031; Suhang Wang (CoRR, 2023)

Robust anomaly detection for multivariate time series through temporal GCNs and attention-based VAE. - Yunfei Shi; Bin Wang 045; Yanwei Yu; Xianfeng Tang; Chao Huang 001; Junyu Dong (Knowl. Based Syst., 2023)

Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs. - Bowen Jin; Chulin Xie; Jiawei Zhang 001; Kashob Kumar Roy; Yu Zhang 044; Zheng Li 018; Ruirui Li 002; Xianfeng Tang; Suhang Wang; Yu Meng 001; Jiawei Han 001 (ACL (Findings), 2024)

Exploring Query Understanding for Amazon Product Search. - Chen Luo 003; Xianfeng Tang; Hanqing Lu; Yaochen Xie; Hui Liu 003; Zhenwei Dai; Limeng Cui; Ashutosh Joshi; Sreyashi Nag; Yang Li 055; Zhen Li; Rahul Goutam; et al. (IEEE Big Data, 2024)

Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark. - Fenglin Liu; Zheng Li 018; Hongjian Zhou; Qingyu Yin; Jingfeng Yang 001; Xianfeng Tang; Chen Luo 003; Ming Zeng 001; Haoming Jiang; Yifan Gao 001; Priyanka Nigam; Sreyashi Nag; et al. (EMNLP, 2024)

Sequential LLM Framework for Fashion Recommendation. - Han Liu; Xianfeng Tang; Tianlang Chen; Jiapeng Liu; Indu Indu; Henry Peng Zou; Peng Dai; Roberto F. Galán; Michael D. Porter; Dongmei Jia; Ning Zhang 017; Lian Xiong (EMNLP (Industry Track), 2024)

BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering. - Haoyu Wang 004; Ruirui Li 002; Haoming Jiang; Jinjin Tian; Zhengyang Wang; Chen Luo 003; Xianfeng Tang; Monica Xiao Cheng; Tuo Zhao; Jing Gao 004 (EMNLP, 2024)

LightLT: A Lightweight Representation Quantization Framework for Long-Tail Data. - Haoyu Wang 004; Ruirui Li 002; Zhengyang Wang; Xianfeng Tang; Danqing Zhang; Monica Xiao Cheng; Bing Yin; Jasha Droppo; Suhang Wang; Jing Gao 004 (ICDE, 2024)

RA-NER: Retrieval augmented NER for knowledge intensive named entity recognition. - Zhenwei Dai; Chen Luo 003; Zhen Li; Xianfeng Tang; Hanqing Lu; Rahul Goutam; Haiyang Zhang (Tiny Papers @ ICLR, 2024)

Session-Aware Product filter Ranking in E- Commerce Search. - Hanqing Lu; Xianfeng Tang; Chen Luo 003; Limeng Cui; Zhenwei Dai; Rahul Goutam; Haiyang Zhang; Monica Xiao Cheng (Tiny Papers @ ICLR, 2024)

Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond. - Tianxin Wei; Bowen Jin; Ruirui Li 002; Hansi Zeng; Zhengyang Wang; Jianhui Sun; Qingyu Yin; Hanqing Lu; Suhang Wang; Jingrui He; Xianfeng Tang (ICLR, 2024)

Language Models as Semantic Indexers. - Bowen Jin; Hansi Zeng; Guoyin Wang 001; Xiusi Chen; Tianxin Wei; Ruirui Li 002; Zhengyang Wang; Zheng Li 018; Yang Li; Hanqing Lu; Suhang Wang; Jiawei Han 001; et al. (ICML, 2024)

Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models. - Yilun Jin; Zheng Li 018; Chenwei Zhang; Tianyu Cao 001; Yifan Gao 001; Pratik Jayarao; Mao Li; Xin Liu 039; Ritesh Sarkhel; Xianfeng Tang; Haodong Wang; Zhengyang Wang; et al. (NeurIPS, 2024)

The 1st International Workshop on Graph Foundation Models (GFM). - Haitao Mao; Jianan Zhao 002; Xiaoxin He; Zhikai Chen; Qian Huang; Zhaocheng Zhu; Jian Tang 005; Michael M. Bronstein; Xavier Bresson; Bryan Hooi; Haiyang Zhang; Xianfeng Tang; et al. (WWW (Companion Volume), 2024)

Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach. - Haoyu Han 001; Juanhui Li; Wei Huang; Xianfeng Tang; Hanqing Lu; Chen Luo 003; Hui Liu 003; Jiliang Tang (CoRR, 2024)

Divide-Verify-Refine: Aligning LLM Responses with Complex Instructions. - Xianren Zhang; Xianfeng Tang; Hui Liu 031; Zongyu Wu 001; Qi He 002; Dongwon Lee 001; Suhang Wang (CoRR, 2024)

Does your LLM truly unlearn? An embarrassingly simple approach to recover unlearned knowledge. - Zhiwei Zhang; Fali Wang; Xiaomin Li; Zongyu Wu 001; Xianfeng Tang; Hui Liu 031; Qi He 002; Wenpeng Yin 001; Suhang Wang (CoRR, 2024)

SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains. - Ran Xu 002; Hui Liu 003; Sreyashi Nag; Zhenwei Dai; Yaochen Xie; Xianfeng Tang; Chen Luo 003; Yang Li 055; Joyce C. Ho; Carl Yang 001; Qi He 002 (CoRR, 2024)

A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness. - Fali Wang; Zhiwei Zhang; Xianren Zhang; Zongyu Wu 001; Tzuhao Mo; Qiuhao Lu; Wanjing Wang; Rui Li; Junjie Xu; Xianfeng Tang; Qi He 002; Yao Ma 001; et al. (CoRR, 2024)

A Survey of Calibration Process for Black-Box LLMs. - Liangru Xie; Hui Liu 003; Jingying Zeng; Xianfeng Tang; Yan Han 001; Chen Luo 003; Jing Huang; Zhen Li; Suhang Wang; Qi He 002 (CoRR, 2024)

The application prospects of robot pose estimation technology: exploring new directions based on YOLOv8-ApexNet. - Xianfeng Tang; Shuwei Zhao (Frontiers Neurorobotics, 2024)

Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning. - Haoyu Han 001; Yaochen Xie; Hui Liu 003; Xianfeng Tang; Sreyashi Nag; William Headden; Yang Li 055; Chen Luo 003; Shuiwang Ji; Qi He 002; Jiliang Tang (ACL (Findings), 2025)

A General Framework to Enhance Fine-tuning-based LLM Unlearning. - Jie Ren 019; Zhenwei Dai; Xianfeng Tang; Hui Liu; Jingying Zeng; Zhen Li; Rahul Goutam; Suhang Wang; Yue Xing 002; Qi He 002 (ACL (Findings), 2025)

Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models. - Yingqian Cui; Pengfei He; Jingying Zeng; Hui Liu 003; Xianfeng Tang; Zhenwei Dai; Yan Han 001; Chen Luo 003; Jing Huang; Zhen Li; Suhang Wang; Yue Xing 002; et al. (ACL (Findings), 2025)

Divide-Verify-Refine: Can LLMs Self-align with Complex Instructions? - Xianren Zhang; Xianfeng Tang; Hui Liu 031; Zongyu Wu 001; Qi He 002; Dongwon Lee 001; Suhang Wang (ACL (Findings), 2025)

A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration. - Yingqian Cui; Pengfei He; Xianfeng Tang; Qi He 002; Chen Luo 003; Jiliang Tang; Yue Xing 002 (AISTATS, 2025)

Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning. - Tianci Liu 003; Ruirui Li 002; Yunzhe Qi; Hui Liu 031; Xianfeng Tang; Tianqi Zheng; Qingyu Yin; Monica Xiao Cheng; Jun Huan; Haoyu Wang 004; Jing Gao 004 (ICLR, 2025)

Catastrophic Failure of LLM Unlearning via Quantization. - Zhiwei Zhang; Fali Wang; Xiaomin Li; Zongyu Wu 001; Xianfeng Tang; Hui Liu 031; Qi He 002; Wenpeng Yin 001; Suhang Wang (ICLR, 2025)

ResMoE: Space-efficient Compression of Mixture of Experts LLMs via Residual Restoration. - Mengting Ai; Tianxin Wei; Yifan Chen 004; Zhichen Zeng 001; Ritchie Zhao; Girish Varatkar; Bita Darvish Rouhani; Xianfeng Tang; Hanghang Tong; Jingrui He (KDD (1), 2025)

Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data. - Juanhui Li; Sreyashi Nag; Hui Liu 031; Xianfeng Tang; Sheikh Muhammad Sarwar; Limeng Cui; Hansu Gu; Suhang Wang; Qi He 002; Jiliang Tang (NAACL (Findings), 2025)

SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains. - Ran Xu 002; Hui Liu 031; Sreyashi Nag; Zhenwei Dai; Yaochen Xie; Xianfeng Tang; Chen Luo 003; Yang Li 055; Joyce C. Ho; Carl Yang 001; Qi He 002 (NAACL (Long Papers), 2025)

IHEval: Evaluating Language Models on Following the Instruction Hierarchy. - Zhihan Zhang 001; Shiyang Li; Zixuan Zhang; Xin Liu 039; Haoming Jiang; Xianfeng Tang; Yifan Gao 001; Zheng Li 018; Haodong Wang; Zhaoxuan Tan; Yichuan Li 001; Qingyu Yin; et al. (NAACL (Long Papers), 2025)

Examples 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 003; Zhen Li; Qi He 002; Xianfeng Tang (SIGIR, 2025)

Large Language Model for E-Commerce Workshop. - Haoyu Han 001; Xianfeng Tang; Jing Huang; Monica Xiao Cheng; Omar Alonso; Hanqing Lu; Zhen Li; Chen Luo 003; Dawei Yin; Jiliang Tang (WWW (Companion Volume), 2025)

Retrieval-Augmented Generation with Graphs (GraphRAG). - Haoyu Han 001; Yu Wang 160; Harry Shomer; Kai Guo 003; Jiayuan Ding; Yongjia Lei; Mahantesh Halappanavar; Ryan A. Rossi; Subhabrata Mukherjee; Xianfeng Tang; Qi He 002; Zhigang Hua; et al. (CoRR, 2025)

Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models. - Yingqian Cui; Pengfei He; Jingying Zeng; Hui Liu 003; Xianfeng Tang; Zhenwei Dai; Yan Han 001; Chen Luo 003; Jing Huang; Zheng Li 018; Suhang Wang; Yue Xing 002; et al. (CoRR, 2025)

A General Framework to Enhance Fine-tuning-based LLM Unlearning. - Jie Ren 019; Zhenwei Dai; Xianfeng Tang; Hui Liu 003; Jingying Zeng; Zhen Li; Rahul Goutam; Suhang Wang; Yue Xing 002; Qi He 002 (CoRR, 2025)

How Far are LLMs from Real Search? A Comprehensive Study on Efficiency, Completeness, and Inherent Capabilities. - Minhua Lin; Hui Liu 003; Xianfeng Tang; Jingying Zeng; Zhenwei Dai; Chen Luo 003; Zheng Li 018; Xiang Zhang 001; Qi He 002; Suhang Wang (CoRR, 2025)

Cite Before You Speak: Enhancing Context-Response Grounding in E-commerce Conversational LLM-Agents. - Jingying Zeng; Hui Liu 003; Zhenwei Dai; Xianfeng Tang; Chen Luo 003; Samarth Varshney; Zhen Li; Qi He 002 (CoRR, 2025)

Examples as the Prompt: A Scalable Approach for Efficient LLM Adaptation in E-Commerce. - Jingying Zeng; Zhenwei Dai; Hui Liu 003; Samarth Varshney; Zhiji Liu; Chen Luo 003; Zheng Li 018; Qi He 002; Xianfeng Tang (CoRR, 2025)

ViLBench: A Suite for Vision-Language Process Reward Modeling. - Haoqin Tu; Weitao Feng; Hardy Chen; Hui Liu 031; Xianfeng Tang; Cihang Xie (CoRR, 2025)

m1: Unleash the Potential of Test-Time Scaling for Medical Reasoning with Large Language Models. - Xiaoke Huang; Juncheng Wu; Hui Liu 031; Xianfeng Tang; Yuyin Zhou (CoRR, 2025)

Harnessing 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 002 (CoRR, 2025)

SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models. - Hardy Chen; Haoqin Tu; Fali Wang; Hui Liu 031; Xianfeng Tang; Xinya Du; Yuyin Zhou; Cihang Xie (CoRR, 2025)

Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation. - Jiankun Zhang; Shenglai Zeng; Jie Ren 019; Tianqi Zheng; Hui Liu 031; Xianfeng Tang; Hui Liu 031; Yi Chang 001 (CoRR, 2025)

Efficient Long CoT Reasoning in Small Language Models. - Zhaoyang Wang 004; Jinqi Jiang; Tian Qiu; Hui Liu; Xianfeng Tang; Huaxiu Yao (CoRR, 2025)

RRO: LLM Agent Optimization Through Rising Reward Trajectories. - Zilong Wang 002; Jingfeng Yang 001; Sreyashi Nag; Samarth Varshney; Xianfeng Tang; Haoming Jiang; Jingbo Shang; Sheikh Muhammad Sarwar (CoRR, 2025)

Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy. - Jie Ren 019; Zhenwei Dai; Xianfeng Tang; Yue Xing 002; Shenglai Zeng; Hui Liu 031; Jingying Zeng; Qiankun Peng; Samarth Varshney; Suhang Wang; Qi He 002; Charu C. Aggarwal; et al. (CoRR, 2025)

Comprehensive Vulnerability Analysis is Necessary for Trustworthy LLM-MAS. - Pengfei He; Yue Xing 002; Shen Dong; Juanhui Li; Zhenwei Dai; Xianfeng Tang; Hui Liu 031; Han Xu 002; Zhen Xiang; Charu C. Aggarwal; Hui Liu 031 (CoRR, 2025)

Attention Knows Whom to Trust: Attention-based Trust Management for LLM Multi-Agent Systems. - Pengfei He; Zhenwei Dai; Xianfeng Tang; Yue Xing 002; Hui Liu 003; Jingying Zeng; Qiankun Peng; Shrivats Agrawal; Samarth Varshney; Suhang Wang; Jiliang Tang; Qi He 002 (CoRR, 2025)

Does Multimodal Large Language Model Truly Unlearn? Stealthy MLLM Unlearning Attack. - Xianren Zhang; Hui Liu 031; Delvin Ce Zhang; Xianfeng Tang; Qi He 002; Dongwon Lee 001; Suhang Wang (CoRR, 2025)

Bradley-Terry and Multi-Objective Reward Modeling Are Complementary. - Zhiwei Zhang; Hui Liu; Xiaomin Li; Zhenwei Dai; Jingying Zeng; Fali Wang; Minhua Lin; Ramraj Chandradevan; Zheng Li 018; Chen Luo 003; Xianfeng Tang; Qi He 002; et al. (CoRR, 2025)

AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks. - Fali Wang; Hui Liu 031; Zhenwei Dai; Jingying Zeng; Zhiwei Zhang; Zongyu Wu 001; Chen Luo 003; Zheng Li 018; Xianfeng Tang; Qi He 002; Suhang Wang (CoRR, 2025)

Beyond Chunks and Graphs: Retrieval-Augmented Generation through Triplet-Driven Thinking. - Shengbo Gong; Xianfeng Tang; Carl Yang 001; Wei Jin 009 (CoRR, 2025)

MedVLThinker: Simple Baselines for Multimodal Medical Reasoning. - Xiaoke Huang; Juncheng Wu; Hui Liu 031; Xianfeng Tang; Yuyin Zhou (CoRR, 2025)

Can Large Language Models Adequately Perform Symbolic Reasoning Over Time Series? - Zewen Liu 005; Juntong Ni; Xianfeng Tang; Max S. Y. Lau; Wenpeng Yin 001; Wei Jin 009 (CoRR, 2025)