Xianfeng Tang - RankMe

153 papers A* 33A 5B 1C 1Journal 87Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Agentic Reasoning for Large Language Models. CoRR Tianxin Wei, Ting-Wei Li, Zhining Liu, Xuying Ning, Ze Yang, Jiaru Zou, Zhichen Zeng, Ruizhong Qiu, Xiao Lin, Dongqi Fu, Zihao Li, Mengting Ai, Duo Zhou, Wenxuan Bao, Yunzhe Li, Gaotang Li, Cheng Qian, Yu Wang, Xiangru Tang, Yin Xiao, Liri Fang, Hui Liu, Xianfeng Tang, Yuji Zhang, Chi Wang, Jiaxuan You, Heng Ji, Hanghang Tong, Jingrui He
2026	J	`jnl`	DiffKGW: Stealthy and Robust Diffusion Model Watermarking. Trans. Mach. Learn. Res. Tianxin Wei, Ruizhong Qiu, Yifan Chen, Yunzhe Qi, Jiacheng Lin, Wenxuan Bao, Wenju Xu, Sreyashi Nag, Ruirui Li, Hanqing Lu, Zhengyang Wang, Chen Luo, Hui Liu, Suhang Wang, Jingrui He, Qi He, Xianfeng Tang
2026	A*	`conf`	Harnessing the Unseen: The Hidden Influence of Intrinsic Knowledge in Long-Context Language Models. AAAI Yu Fu, Haz Sameen Shahgir, Hui Liu, Xianfeng Tang, Qi He, Yue Dong
2026	J	`jnl`	How Far Are LLMs from Professional Poker Players? Revisiting Game-Theoretic Reasoning with Agentic Tool Use. CoRR Minhua Lin, Enyan Dai, Hui Liu, Xianfeng Tang, Yuliang Yan, Zhenwei Dai, Jingying Zeng, Zhiwei Zhang, Fali Wang, Hongcheng Gao, Chen Luo, Xiang Zhang, Qi He, Suhang Wang
2026	J	`jnl`	MemMA: Coordinating the Memory Cycle through Multi-Agent Reasoning and In-Situ Self-Evolution. CoRR Minhua Lin, Zhiwei Zhang, Hanqing Lu, Hui Liu, Xianfeng Tang, Qi He, Xiang Zhang, Suhang Wang
2026	J	`jnl`	Position: Agentic Evolution is the Path to Evolving LLMs. CoRR Minhua Lin, Hanqing Lu, Zhan Shi, Bing He, Rui Mao, Zhiwei Zhang, Zongyu Wu, Xianfeng Tang, Hui Liu, Zhenwei Dai, Xiang Zhang, Suhang Wang, Benoît Dumoulin, Jian Pei
2026	J	`jnl`	Trajectory2Task: Training Robust Tool-Calling Agents with Synthesized Yet Verifiable Data for Complex User Intents. CoRR Ziyi Wang, Yuxuan Lu, Yimeng Zhang, Ziwei Dong, Jing Huang, Jiri Gesi, Xianfeng Tang, Chen Luo, Yisi Sang, Hanqing Lu, Manling Li, Dakuo Wang
2025	J	`jnl`	A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness. ACM Trans. Intell. Syst. Technol. Fali Wang, Zhiwei Zhang, Xianren Zhang, Zongyu Wu, Tzuhao Mo, Qiuhao Lu, Wanjing Wang, Rui Li, Junjie Xu, Xianfeng Tang, Qi He, Yao Ma, Ming Huang, Suhang Wang
2025	J	`jnl`	A Comprehensive Survey on Reinforcement Learning-based Agentic Search: Foundations, Roles, Optimizations, Evaluations, and Applications. CoRR Minhua Lin, Zongyu Wu, Zhichao Xu, Hui Liu, Xianfeng Tang, Qi He, Charu C. Aggarwal, Xiang Zhang, Suhang Wang
2025	—	`conf`	A General Framework to Enhance Fine-tuning-based LLM Unlearning. ACL (Findings) Jie Ren, Zhenwei Dai, Xianfeng Tang, Hui Liu, Jingying Zeng, Zhen Li, Rahul Goutam, Suhang Wang, Yue Xing, Qi He
2025	J	`jnl`	A General Framework to Enhance Fine-tuning-based LLM Unlearning. CoRR Jie Ren, Zhenwei Dai, Xianfeng Tang, Hui Liu, Jingying Zeng, Zhen Li, Rahul Goutam, Suhang Wang, Yue Xing, Qi He
2025	—	`conf`	A Survey on Small Language Models in the Era of Large Language Models: Architecture, Capabilities, and Trustworthiness. KDD (2) Fali Wang, Minhua Lin, Yao Ma, Hui Liu, Qi He, Xianfeng Tang, Jiliang Tang, Jian Pei, Suhang Wang
2025	A	`conf`	A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration. AISTATS Yingqian Cui, Pengfei He, Xianfeng Tang, Qi He, Chen Luo, Jiliang Tang, Yue Xing
2025	J	`jnl`	Adaptive Test-Time Reasoning via Reward-Guided Dual-Phase Search. CoRR Yingqian Cui, Zhenwei Dai, Pengfei He, Bing He, Hui Liu, Xianfeng Tang, Jingying Zeng, Suhang Wang, Yue Xing, Jiliang Tang, Benoît Dumoulin
2025	J	`jnl`	AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks. CoRR Fali Wang, Hui Liu, Zhenwei Dai, Jingying Zeng, Zhiwei Zhang, Zongyu Wu, Chen Luo, Zheng Li, Xianfeng Tang, Qi He, Suhang Wang
2025	J	`jnl`	All You Need Are Random Visual Tokens? Demystifying Token Pruning in VLLMs. CoRR Yahong Wang, Juncheng Wu, Zhangkai Ni, Longzhen Yang, Yihang Liu, Chengmei Yang, Ying Wen, Xianfeng Tang, Hui Liu, Yuyin Zhou, Lianghua He
2025	J	`jnl`	Attention Knows Whom to Trust: Attention-based Trust Management for LLM Multi-Agent Systems. CoRR Pengfei He, Zhenwei Dai, Xianfeng Tang, Yue Xing, Hui Liu, Jingying Zeng, Qiankun Peng, Shrivats Agrawal, Samarth Varshney, Suhang Wang, Jiliang Tang, Qi He
2025	J	`jnl`	Beyond Chunks and Graphs: Retrieval-Augmented Generation through Triplet-Driven Thinking. CoRR Shengbo Gong, Xianfeng Tang, Carl Yang, Wei Jin
2025	A*	`conf`	Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation. EMNLP Jiankun Zhang, Shenglai Zeng, Jie Ren, Tianqi Zheng, Hui Liu, Xianfeng Tang, Yi Chang
2025	J	`jnl`	Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation. CoRR Jiankun Zhang, Shenglai Zeng, Jie Ren, Tianqi Zheng, Hui Liu, Xianfeng Tang, Yi Chang
2025	J	`jnl`	Bradley-Terry and Multi-Objective Reward Modeling Are Complementary. CoRR Zhiwei Zhang, Hui Liu, Xiaomin Li, Zhenwei Dai, Jingying Zeng, Fali Wang, Minhua Lin, Ramraj Chandradevan, Zheng Li, Chen Luo, Xianfeng Tang, Qi He, Suhang Wang
2025	J	`jnl`	Can Large Language Models Adequately Perform Symbolic Reasoning Over Time Series? CoRR Zewen Liu, Juntong Ni, Xianfeng Tang, Max S. Y. Lau, Wenpeng Yin, Wei Jin
2025	A*	`conf`	Catastrophic Failure of LLM Unlearning via Quantization. ICLR Zhiwei Zhang, Fali Wang, Xiaomin Li, Zongyu Wu, Xianfeng Tang, Hui Liu, Qi He, Wenpeng Yin, Suhang Wang
2025	J	`jnl`	Cite Before You Speak: Enhancing Context-Response Grounding in E-commerce Conversational LLM-Agents. CoRR Jingying Zeng, Hui Liu, Zhenwei Dai, Xianfeng Tang, Chen Luo, Samarth Varshney, Zhen Li, Qi He
2025	J	`jnl`	Comprehensive Vulnerability Analysis is Necessary for Trustworthy LLM-MAS. CoRR Pengfei He, Yue Xing, Shen Dong, Juanhui Li, Zhenwei Dai, Xianfeng Tang, Hui Liu, Han Xu, Zhen Xiang, Charu C. Aggarwal
2025	—	`conf`	Divide-Verify-Refine: Can LLMs Self-align with Complex Instructions? ACL (Findings) Xianren Zhang, Xianfeng Tang, Hui Liu, Zongyu Wu, Qi He, Dongwon Lee, Suhang Wang
2025	J	`jnl`	Does Multimodal Large Language Model Truly Unlearn? Stealthy MLLM Unlearning Attack. CoRR Xianren Zhang, Hui Liu, Delvin Ce Zhang, Xianfeng Tang, Qi He, Dongwon Lee, Suhang Wang
2025	—	`conf`	DrAgent: Empowering Large Language Models as Medical Agents for Multi-hop Medical Reasoning. EMNLP (Findings) 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
2025	J	`jnl`	Efficient Long CoT Reasoning in Small Language Models. CoRR Zhaoyang Wang, Jinqi Jiang, Tian Qiu, Hui Liu, Xianfeng Tang, Huaxiu Yao
2025	A*	`conf`	Examples as the Prompt: A Scalable Approach for Efficient LLM Adaptation in E-Commerce. SIGIR Jingying Zeng, Zhenwei Dai, Hui Liu, Samarth Varshney, Zhiji Liu, Chen Luo, Zhen Li, Qi He, Xianfeng Tang
2025	J	`jnl`	Examples as the Prompt: A Scalable Approach for Efficient LLM Adaptation in E-Commerce. CoRR Jingying Zeng, Zhenwei Dai, Hui Liu, Samarth Varshney, Zhiji Liu, Chen Luo, Zheng Li, Qi He, Xianfeng Tang
2025	J	`jnl`	Generalizing Test-time Compute-optimal Scaling as an Optimizable Graph. CoRR Fali Wang, Jihai Chen, Shuhua Yang, Runxue Bao, Tianxiang Zhao, Zhiwei Zhang, Xianfeng Tang, Hui Liu, Qi He, Suhang Wang
2025	J	`jnl`	Harnessing the Unseen: The Hidden Influence of Intrinsic Knowledge in Long-Context Language Models. CoRR Yu Fu, Haz Sameen Shahgir, Hui Liu, Xianfeng Tang, Qi He, Yue Dong
2025	J	`jnl`	How Far are LLMs from Real Search? A Comprehensive Study on Efficiency, Completeness, and Inherent Capabilities. CoRR Minhua Lin, Hui Liu, Xianfeng Tang, Jingying Zeng, Zhenwei Dai, Chen Luo, Zheng Li, Xiang Zhang, Qi He, Suhang Wang
2025	—	`conf`	IHEval: Evaluating Language Models on Following the Instruction Hierarchy. NAACL (Long Papers) 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
2025	J	`jnl`	IHEval: Evaluating Language Models on Following the Instruction Hierarchy. CoRR 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
2025	J	`jnl`	Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy. CoRR Jie Ren, Zhenwei Dai, Xianfeng Tang, Yue Xing, Shenglai Zeng, Hui Liu, Jingying Zeng, Qiankun Peng, Samarth Varshney, Suhang Wang, Qi He, Charu C. Aggarwal
2025	—	`conf`	Large Language Model for E-Commerce Workshop. WWW (Companion Volume) Haoyu Han, Xianfeng Tang, Jing Huang, Monica Xiao Cheng, Omar Alonso, Hanqing Lu, Zhen Li, Chen Luo, Dawei Yin, Jiliang Tang
2025	—	`conf`	Learning to Instruct: Fine-Tuning a Task-Aware Instruction Optimizer for Black-Box LLMs. EMNLP (Findings) Yunzhe Qi, Jinjin Tian, Tianci Liu, Ruirui Li, Tianxin Wei, Hui Liu, Xianfeng Tang, Monica Xiao Cheng, Jingrui He
2025	—	`conf`	Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data. NAACL (Findings) Juanhui Li, Sreyashi Nag, Hui Liu, Xianfeng Tang, Sheikh Muhammad Sarwar, Limeng Cui, Hansu Gu, Suhang Wang, Qi He, Jiliang Tang
2025	J	`jnl`	MedVLSynther: Synthesizing High-Quality Visual Question Answering from Medical Documents with Generator-Verifier LMMs. CoRR Xiaoke Huang, Ningsen Wang, Hui Liu, Xianfeng Tang, Yuyin Zhou
2025	J	`jnl`	MedVLThinker: Simple Baselines for Multimodal Medical Reasoning. CoRR Xiaoke Huang, Juncheng Wu, Hui Liu, Xianfeng Tang, Yuyin Zhou
2025	A*	`conf`	Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing. ICML Tianci Liu, Ruirui Li, Zihan Dong, Hui Liu, Xianfeng Tang, Qingyu Yin, Linjun Zhang, Haoyu Wang, Jing Gao
2025	J	`jnl`	RRO: LLM Agent Optimization Through Rising Reward Trajectories. CoRR Zilong Wang, Jingfeng Yang, Sreyashi Nag, Samarth Varshney, Xianfeng Tang, Haoming Jiang, Jingbo Shang, Sheikh Muhammad Sarwar
2025	—	`conf`	Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning. ACL (Findings) Haoyu Han, Yaochen Xie, Hui Liu, Xianfeng Tang, Sreyashi Nag, William Headden, Yang Li, Chen Luo, Shuiwang Ji, Qi He, Jiliang Tang
2025	J	`jnl`	Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning. CoRR Haoyu Han, Yaochen Xie, Hui Liu, Xianfeng Tang, Sreyashi Nag, William Headden, Yang Li, Chen Luo, Shuiwang Ji, Qi He, Jiliang Tang
2025	—	`conf`	ResMoE: Space-efficient Compression of Mixture of Experts LLMs via Residual Restoration. KDD (1) Mengting Ai, Tianxin Wei, Yifan Chen, Zhichen Zeng, Ritchie Zhao, Girish Varatkar, Bita Darvish Rouhani, Xianfeng Tang, Hanghang Tong, Jingrui He
2025	J	`jnl`	ResMoE: Space-efficient Compression of Mixture of Experts LLMs via Residual Restoration. CoRR Mengting Ai, Tianxin Wei, Yifan Chen, Zhichen Zeng, Ritchie Zhao, Girish Varatkar, Bita Darvish Rouhani, Xianfeng Tang, Hanghang Tong, Jingrui He
2025	J	`jnl`	Retrieval-Augmented Generation with Graphs (GraphRAG). CoRR Haoyu Han, Yu Wang, Harry Shomer, Kai Guo, Jiayuan Ding, Yongjia Lei, Mahantesh Halappanavar, Ryan A. Rossi, Subhabrata Mukherjee, Xianfeng Tang, Qi He, Zhigang Hua, Bo Long, Tong Zhao, Neil Shah, Amin Javari, Yinglong Xia, Jiliang Tang
2025	J	`jnl`	SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models. CoRR Hardy Chen, Haoqin Tu, Fali Wang, Hui Liu, Xianfeng Tang, Xinya Du, Yuyin Zhou, Cihang Xie
2025	J	`jnl`	SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models. Trans. Mach. Learn. Res. Hardy Chen, Haoqin Tu, Fali Wang, Hui Liu, Xianfeng Tang, Xinya Du, Yuyin Zhou, Cihang Xie
2025	A*	`conf`	SUA: Stealthy Multimodal Large Language Model Unlearning Attack. EMNLP Xianren Zhang, Hui Liu, Delvin Ce Zhang, Xianfeng Tang, Qi He, Dongwon Lee, Suhang Wang
2025	—	`conf`	SciSoc LLM Workshop: Large Language Models for Scientific and Societal Advances. KDD (2) Wei Jin, Lu Cheng, Wenpeng Yin, Xianfeng Tang, Qingsong Wen, Danai Koutra, B. Aditya Prakash, Yan Liu
2025	J	`jnl`	Seeing but Not Believing: Probing the Disconnect Between Visual Attention and Answer Correctness in VLMs. CoRR Zhining Liu, Ziyi Chen, Hui Liu, Chen Luo, Xianfeng Tang, Suhang Wang, Joy Zeng, Zhenwei Dai, Zhan Shi, Tianxin Wei, Benoît Dumoulin, Hanghang Tong
2025	—	`conf`	SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains. NAACL (Long Papers) Ran Xu, Hui Liu, Sreyashi Nag, Zhenwei Dai, Yaochen Xie, Xianfeng Tang, Chen Luo, Yang Li, Joyce C. Ho, Carl Yang, Qi He
2025	—	`conf`	Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models. ACL (Findings) 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
2025	J	`jnl`	Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models. CoRR Yingqian Cui, Pengfei He, Jingying Zeng, Hui Liu, Xianfeng Tang, Zhenwei Dai, Yan Han, Chen Luo, Jing Huang, Zheng Li, Suhang Wang, Yue Xing, Jiliang Tang, Qi He
2025	J	`jnl`	TRAJECT-Bench:A Trajectory-Aware Benchmark for Evaluating Agentic Tool Use. CoRR Pengfei He, Zhenwei Dai, Bing He, Hui Liu, Xianfeng Tang, Hanqing Lu, Juanhui Li, Jiayuan Ding, Subhabrata Mukherjee, Suhang Wang, Yue Xing, Jiliang Tang, Benoît Dumoulin
2025	—	`conf`	The 2nd Workshop on Large Language Models for E-Commerce. KDD (2) 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
2025	J	`jnl`	Two-Step Offline Preference-Based Reinforcement Learning on Explicitly Constrained Policies. Trans. Mach. Learn. Res. Yinglun Xu, Tarun Suresh, Rohan Gumaste, David Zhu, Ruirui Li, Zhengyang Wang, Haoming Jiang, Xianfeng Tang, Qingyu Yin, Monica Xiao Cheng, Qi Zeng, Chao Zhang, Gagandeep Singh
2025	A*	`conf`	Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning. ICLR Tianci Liu, Ruirui Li, Yunzhe Qi, Hui Liu, Xianfeng Tang, Tianqi Zheng, Qingyu Yin, Monica Xiao Cheng, Jun Huan, Haoyu Wang, Jing Gao
2025	J	`jnl`	Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning. CoRR Tianci Liu, Ruirui Li, Yunzhe Qi, Hui Liu, Xianfeng Tang, Tianqi Zheng, Qingyu Yin, Monica Xiao Cheng, Jun Huan, Haoyu Wang, Jing Gao
2025	J	`jnl`	Unlocking the Power of Multi-Agent LLM for Reasoning: From Lazy Agents to Deliberation. CoRR Zhiwei Zhang, Xiaomin Li, Yudi Lin, Hui Liu, Ramraj Chandradevan, Linlin Wu, Minhua Lin, Fali Wang, Xianfeng Tang, Qi He, Suhang Wang
2025	A*	`conf`	ViLBench: A Suite for Vision-Language Process Reward Modeling. EMNLP Haoqin Tu, Weitao Feng, Hardy Chen, Hui Liu, Xianfeng Tang, Cihang Xie
2025	J	`jnl`	ViLBench: A Suite for Vision-Language Process Reward Modeling. CoRR Haoqin Tu, Weitao Feng, Hardy Chen, Hui Liu, Xianfeng Tang, Cihang Xie
2025	J	`jnl`	Where on Earth? A Vision-Language Benchmark for Probing Model Geolocation Skills Across Scales. CoRR Zhaofang Qian, Hardy Chen, Zeyu Wang, Li Zhang, Zijun Wang, Xiaoke Huang, Hui Liu, Xianfeng Tang, Zeyu Zheng, Haoqin Tu, Cihang Xie, Yuyin Zhou
2025	J	`jnl`	m1: Unleash the Potential of Test-Time Scaling for Medical Reasoning with Large Language Models. CoRR Xiaoke Huang, Juncheng Wu, Hui Liu, Xianfeng Tang, Yuyin Zhou
2024	J	`jnl`	A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness. CoRR Fali Wang, Zhiwei Zhang, Xianren Zhang, Zongyu Wu, Tzuhao Mo, Qiuhao Lu, Wanjing Wang, Rui Li, Junjie Xu, Xianfeng Tang, Qi He, Yao Ma, Ming Huang, Suhang Wang
2024	J	`jnl`	A Survey of Calibration Process for Black-Box LLMs. CoRR Liangru Xie, Hui Liu, Jingying Zeng, Xianfeng Tang, Yan Han, Chen Luo, Jing Huang, Zhen Li, Suhang Wang, Qi He
2024	J	`jnl`	A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration. CoRR Yingqian Cui, Pengfei He, Xianfeng Tang, Qi He, Chen Luo, Jiliang Tang, Yue Xing
2024	A*	`conf`	BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering. EMNLP Haoyu Wang, Ruirui Li, Haoming Jiang, Jinjin Tian, Zhengyang Wang, Chen Luo, Xianfeng Tang, Monica Xiao Cheng, Tuo Zhao, Jing Gao
2024	J	`jnl`	Divide-Verify-Refine: Aligning LLM Responses with Complex Instructions. CoRR Xianren Zhang, Xianfeng Tang, Hui Liu, Zongyu Wu, Qi He, Dongwon Lee, Suhang Wang
2024	J	`jnl`	Does your LLM truly unlearn? An embarrassingly simple approach to recover unlearned knowledge. CoRR Zhiwei Zhang, Fali Wang, Xiaomin Li, Zongyu Wu, Xianfeng Tang, Hui Liu, Qi He, Wenpeng Yin, Suhang Wang
2024	B	`conf`	Exploring Query Understanding for Amazon Product Search. IEEE Big Data Chen Luo, Xianfeng Tang, Hanqing Lu, Yaochen Xie, Hui Liu, Zhenwei Dai, Limeng Cui, Ashutosh Joshi, Sreyashi Nag, Yang Li, Zhen Li, Rahul Goutam, Jiliang Tang, Haiyang Zhang, Qi He
2024	J	`jnl`	Exploring Query Understanding for Amazon Product Search. CoRR Chen Luo, Xianfeng Tang, Hanqing Lu, Yaochen Xie, Hui Liu, Zhenwei Dai, Limeng Cui, Ashutosh Joshi, Sreyashi Nag, Yang Li, Zhen Li, Rahul Goutam, Jiliang Tang, Haiyang Zhang, Qi He
2024	—	`conf`	Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs. ACL (Findings) Bowen Jin, Chulin Xie, Jiawei Zhang, Kashob Kumar Roy, Yu Zhang, Zheng Li, Ruirui Li, Xianfeng Tang, Suhang Wang, Yu Meng, Jiawei Han
2024	A*	`conf`	Language Models as Semantic Indexers. ICML 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
2024	A*	`conf`	Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark. EMNLP 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
2024	J	`jnl`	Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data. CoRR Juanhui Li, Sreyashi Nag, Hui Liu, Xianfeng Tang, Sheikh Muhammad Sarwar, Limeng Cui, Hansu Gu, Suhang Wang, Qi He, Jiliang Tang
2024	A*	`conf`	LightLT: A Lightweight Representation Quantization Framework for Long-Tail Data. ICDE Haoyu Wang, Ruirui Li, Zhengyang Wang, Xianfeng Tang, Danqing Zhang, Monica Xiao Cheng, Bing Yin, Jasha Droppo, Suhang Wang, Jing Gao
2024	J	`jnl`	Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach. CoRR Haoyu Han, Juanhui Li, Wei Huang, Xianfeng Tang, Hanqing Lu, Chen Luo, Hui Liu, Jiliang Tang
2024	—	`conf`	RA-NER: Retrieval augmented NER for knowledge intensive named entity recognition. Tiny Papers @ ICLR Zhenwei Dai, Chen Luo, Zhen Li, Xianfeng Tang, Hanqing Lu, Rahul Goutam, Haiyang Zhang
2024	—	`conf`	Sequential LLM Framework for Fashion Recommendation. EMNLP (Industry Track) 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, Lian Xiong
2024	J	`jnl`	Sequential LLM Framework for Fashion Recommendation. CoRR Han Liu, Xianfeng Tang, Tianlang Chen, Jiapeng Liu, Indu Indu, Henry Peng Zou, Peng Dai, Roberto Fernández Galán, Michael D. Porter, Dongmei Jia, Ning Zhang, Lian Xiong
2024	—	`conf`	Session-Aware Product filter Ranking in E- Commerce Search. Tiny Papers @ ICLR Hanqing Lu, Xianfeng Tang, Chen Luo, Limeng Cui, Zhenwei Dai, Rahul Goutam, Haiyang Zhang, Monica Xiao Cheng
2024	A*	`conf`	Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models. NeurIPS Yilun Jin, Zheng Li, Chenwei Zhang, Tianyu Cao, Yifan Gao, Pratik Jayarao, Mao Li, Xin Liu, Ritesh Sarkhel, Xianfeng Tang, Haodong Wang, Zhengyang Wang, Wenju Xu, Jingfeng Yang, Qingyu Yin, Xian Li, Priyanka Nigam, Yi Xu, Kai Chen, Qiang Yang, Meng Jiang, Bing Yin
2024	J	`jnl`	Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models. CoRR Yilun Jin, Zheng Li, Chenwei Zhang, Tianyu Cao, Yifan Gao, Pratik Jayarao, Mao Li, Xin Liu, Ritesh Sarkhel, Xianfeng Tang, Haodong Wang, Zhengyang Wang, Wenju Xu, Jingfeng Yang, Qingyu Yin, Xian Li, Priyanka Nigam, Yi Xu, Kai Chen, Qiang Yang, Meng Jiang, Bing Yin
2024	J	`jnl`	SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains. CoRR Ran Xu, Hui Liu, Sreyashi Nag, Zhenwei Dai, Yaochen Xie, Xianfeng Tang, Chen Luo, Yang Li, Joyce C. Ho, Carl Yang, Qi He
2024	—	`conf`	The 1st International Workshop on Graph Foundation Models (GFM). WWW (Companion Volume) 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
2024	J	`jnl`	The application prospects of robot pose estimation technology: exploring new directions based on YOLOv8-ApexNet. Frontiers Neurorobotics Xianfeng Tang, Shuwei Zhao
2024	A*	`conf`	Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond. ICLR Tianxin Wei, Bowen Jin, Ruirui Li, Hansi Zeng, Zhengyang Wang, Jianhui Sun, Qingyu Yin, Hanqing Lu, Suhang Wang, Jingrui He, Xianfeng Tang
2024	J	`jnl`	Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond. CoRR Tianxin Wei, Bowen Jin, Ruirui Li, Hansi Zeng, Zhengyang Wang, Jianhui Sun, Qingyu Yin, Hanqing Lu, Suhang Wang, Jingrui He, Xianfeng Tang
2023	A*	`conf`	A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy. KDD Enyan Dai, Limeng Cui, Zhengyang Wang, Xianfeng Tang, Yinghan Wang, Monica Xiao Cheng, Bing Yin, Suhang Wang
2023	J	`jnl`	A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy. CoRR Enyan Dai, Limeng Cui, Zhengyang Wang, Xianfeng Tang, Yinghan Wang, Monica Xiao Cheng, Bing Yin, Suhang Wang
2023	A*	`conf`	Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation. NeurIPS Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Xiao Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang
2023	J	`jnl`	Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation. CoRR Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Xiao Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang
2023	A*	`conf`	Exploiting Intent Evolution in E-commercial Query Recommendation. KDD 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
2023	A*	`conf`	HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers. ICLR Chen Liang, Haoming Jiang, Zheng Li, Xianfeng Tang, Bing Yin, Tuo Zhao
2023	J	`jnl`	HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers. CoRR Chen Liang, Haoming Jiang, Zheng Li, Xianfeng Tang, Bin Yin, Tuo Zhao
2023	A*	`conf`	Jointly Attacking Graph Neural Network and its Explanations. ICDE Wenqi Fan, Han Xu, Wei Jin, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Qing Li, Jiliang Tang, Jianping Wang, Charu C. Aggarwal
2023	J	`jnl`	Language Models As Semantic Indexers. CoRR 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
2023	A*	`conf`	LightToken: A Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language Models. KDD Haoyu Wang, Ruirui Li, Haoming Jiang, Zhengyang Wang, Xianfeng Tang, Bin Bi, Monica Xiao Cheng, Bing Yin, Yaqing Wang, Tuo Zhao, Jing Gao
2023	J	`jnl`	Robust anomaly detection for multivariate time series through temporal GCNs and attention-based VAE. Knowl. Based Syst. Yunfei Shi, Bin Wang, Yanwei Yu, Xianfeng Tang, Chao Huang, Junyu Dong
2023	J	`jnl`	Self-Explainable Graph Neural Networks for Link Prediction. CoRR Huaisheng Zhu, Dongsheng Luo, Xianfeng Tang, Junjie Xu, Hui Liu, Suhang Wang
2023	—	`conf`	You Need to Look Globally: Discovering Representative Topology Structures to Enhance Graph Neural Network. PAKDD (2) Huaisheng Zhu, Xianfeng Tang, Tianxiang Zhao, Suhang Wang
2022	A*	`conf`	ALLIE: Active Learning on Large-scale Imbalanced Graphs. WWW Limeng Cui, Xianfeng Tang, Sumeet Katariya, Nikhil Rao, Pallav Agrawal, Karthik Subbian, Dongwon Lee
2022	—	`conf`	AutoGDA: Automated Graph Data Augmentation for Node Classification. LoG Tong Zhao, Xianfeng Tang, Danqing Zhang, Haoming Jiang, Nikhil Rao, Yiwei Song, Pallav Agrawal, Karthik Subbian, Bing Yin, Meng Jiang
2022	A*	`conf`	Condensing Graphs via One-Step Gradient Matching. KDD Wei Jin, Xianfeng Tang, Haoming Jiang, Zheng Li, Danqing Zhang, Jiliang Tang, Bing Yin
2022	J	`jnl`	Condensing Graphs via One-Step Gradient Matching. CoRR Wei Jin, Xianfeng Tang, Haoming Jiang, Zheng Li, Danqing Zhang, Jiliang Tang, Bin Ying
2022	J	`jnl`	DiP-GNN: Discriminative Pre-Training of Graph Neural Networks. CoRR Simiao Zuo, Haoming Jiang, Qingyu Yin, Xianfeng Tang, Bing Yin, Tuo Zhao
2022	A	`conf`	Friend Story Ranking with Edge-Contextual Local Graph Convolutions. WSDM Xianfeng Tang, Yozen Liu, Xinran He, Suhang Wang, Neil Shah
2022	J	`jnl`	MUG: Multi-human Graph Network for 3D Mesh Reconstruction from 2D Pose. CoRR Chenyan Wu, Yandong Li, Xianfeng Tang, James Z. Wang
2022	J	`jnl`	Short Text Pre-training with Extended Token Classification for E-commerce Query Understanding. CoRR Haoming Jiang, Tianyu Cao, Zheng Li, Chen Luo, Xianfeng Tang, Qingyu Yin, Danqing Zhang, Rahul Goutam, Bing Yin
2022	A*	`conf`	Task-Agnostic Graph Explanations. NeurIPS Yaochen Xie, Sumeet Katariya, Xianfeng Tang, Edward W. Huang, Nikhil Rao, Karthik Subbian, Shuiwang Ji
2022	J	`jnl`	Task-Agnostic Graph Explanations. CoRR Yaochen Xie, Sumeet Katariya, Xianfeng Tang, Edward W. Huang, Nikhil Rao, Karthik Subbian, Shuiwang Ji
2021	J	`jnl`	Citywide Traffic Volume Inference with Surveillance Camera Records. IEEE Trans. Big Data Yanwei Yu, Xianfeng Tang, Huaxiu Yao, Xiuwen Yi, Zhenhui Li
2021	J	`jnl`	Jointly Attacking Graph Neural Network and its Explanations. CoRR Wenqi Fan, Wei Jin, Xiaorui Liu, Han Xu, Xianfeng Tang, Suhang Wang, Qing Li, Jiliang Tang, Jianping Wang, Charu C. Aggarwal
2021	—	`conf`	Quantization Noise Suppression with Noise-shaping Technique in DMT-modulated IM/DD Optical Interconnects utilizing Low-resolution DAC. OFC Ke Bai, Zhibin Luo, Dongdong Zou, Wei Wang, Qi Sui, Xianfeng Tang, Fan Li, Zhaohui Li
2021	J	`jnl`	Semi-Supervised Graph-to-Graph Translation. CoRR Tianxiang Zhao, Xianfeng Tang, Xiang Zhang, Suhang Wang
2021	A*	`conf`	SrVARM: State Regularized Vector Autoregressive Model for Joint Learning of Hidden State Transitions and State-Dependent Inter-Variable Dependencies from Multi-variate Time Series. WWW Tsung-Yu Hsieh, Yiwei Sun, Xianfeng Tang, Suhang Wang, Vasant G. Honavar
2020	A*	`conf`	Adversarial Attacks on Graph Neural Networks via Node Injections: A Hierarchical Reinforcement Learning Approach. WWW Yiwei Sun, Suhang Wang, Xianfeng Tang, Tsung-Yu Hsieh, Vasant G. Honavar
2020	J	`jnl`	Find you if you drive: Inferring home locations for vehicles with surveillance camera data. Knowl. Based Syst. Kai Chen, Yanwei Yu, Peng Song, Xianfeng Tang, Lei Cao, Xiangrong Tong
2020	J	`jnl`	Graph Convolutional Networks against Degree-Related Biases. CoRR Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Yiqi Wang, Jiliang Tang, Charu C. Aggarwal, Prasenjit Mitra, Suhang Wang
2020	A*	`conf`	Graph Structure Learning for Robust Graph Neural Networks. KDD Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Jiliang Tang
2020	J	`jnl`	Graph Structure Learning for Robust Graph Neural Networks. CoRR Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Jiliang Tang
2020	A	`conf`	Investigating and Mitigating Degree-Related Biases in Graph Convoltuional Networks. CIKM Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Yiqi Wang, Jiliang Tang, Charu C. Aggarwal, Prasenjit Mitra, Suhang Wang
2020	A*	`conf`	Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values. AAAI Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Charu C. Aggarwal, Prasenjit Mitra, Suhang Wang
2020	A*	`conf`	Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps. KDD Xianfeng Tang, Yozen Liu, Neil Shah, Xiaolin Shi, Prasenjit Mitra, Suhang Wang
2020	J	`jnl`	Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps. CoRR Xianfeng Tang, Yozen Liu, Neil Shah, Xiaolin Shi, Prasenjit Mitra, Suhang Wang
2020	J	`jnl`	Layer-constrained variational autoencoding kernel density estimation model for anomaly detection. Knowl. Based Syst. Peng Lv, Yanwei Yu, Yangyang Fan, Xianfeng Tang, Xiangrong Tong
2020	—	`conf`	Learning Enriched Features for Video Denoising with Convolutional Neural Network. APCCAS Xianfeng Tang, Peining Zhen, Ming Kang, Hang Yi, Wei Wang, Hai-Bao Chen
2020	A	`conf`	Semi-Supervised Graph-to-Graph Translation. CIKM Tianxiang Zhao, Xianfeng Tang, Xiang Zhang, Suhang Wang
2020	A	`conf`	Transferring Robustness for Graph Neural Network Against Poisoning Attacks. WSDM Xianfeng Tang, Yandong Li, Yiwei Sun, Huaxiu Yao, Prasenjit Mitra, Suhang Wang
2020	—	`conf`	True Equalization of PDL in Presence of Fast RSOP. OFC Nan Cui, Xiaoguang Zhang, Nannan Zhang, Xianfeng Tang, Lixia Xi
2019	J	`jnl`	A Simple Baseline for Travel Time Estimation using Large-scale Trip Data. ACM Trans. Intell. Syst. Technol. Hongjian Wang, Xianfeng Tang, Yu-Hsuan Kuo, Daniel Kifer, Zhenhui Li
2019	A*	`conf`	Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference. WWW Xianfeng Tang, Boqing Gong, Yanwei Yu, Huaxiu Yao, Yandong Li, Haiyong Xie, Xiaoyu Wang
2019	J	`jnl`	Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference. CoRR Xianfeng Tang, Boqing Gong, Yanwei Yu, Huaxiu Yao, Yandong Li, Haiyong Xie, Xiaoyu Wang
2019	J	`jnl`	Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values. CoRR Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Charu C. Aggarwal, Prasenjit Mitra, Suhang Wang
2019	A*	`conf`	Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction. WWW Huaxiu Yao, Yiding Liu, Ying Wei, Xianfeng Tang, Zhenhui Li
2019	J	`jnl`	Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction. CoRR Huaxiu Yao, Yiding Liu, Ying Wei, Xianfeng Tang, Zhenhui Li
2019	A*	`conf`	MEGAN: A Generative Adversarial Network for Multi-View Network Embedding. IJCAI Yiwei Sun, Suhang Wang, Tsung-Yu Hsieh, Xianfeng Tang, Vasant G. Honavar
2019	J	`jnl`	MEGAN: A Generative Adversarial Network for Multi-View Network Embedding. CoRR Yiwei Sun, Suhang Wang, Tsung-Yu Hsieh, Xianfeng Tang, Vasant G. Honavar
2019	J	`jnl`	Node Injection Attacks on Graphs via Reinforcement Learning. CoRR Yiwei Sun, Suhang Wang, Xianfeng Tang, Tsung-Yu Hsieh, Vasant G. Honavar
2019	A*	`conf`	Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction. AAAI Huaxiu Yao, Xianfeng Tang, Hua Wei, Guanjie Zheng, Zhenhui Li
2019	J	`jnl`	Robust Graph Neural Network Against Poisoning Attacks via Transfer Learning. CoRR Xianfeng Tang, Yandong Li, Yiwei Sun, Huaxiu Yao, Prasenjit Mitra, Suhang Wang
2018	A*	`conf`	Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction. AAAI Huaxiu Yao, Fei Wu, Jintao Ke, Xianfeng Tang, Yitian Jia, Siyu Lu, Pinghua Gong, Jieping Ye, Zhenhui Li
2018	J	`jnl`	Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction. CoRR Huaxiu Yao, Fei Wu, Jintao Ke, Xianfeng Tang, Yitian Jia, Siyu Lu, Pinghua Gong, Jieping Ye, Zhenhui Li
2018	J	`jnl`	Hybrid Adaptive Cubature Kalman Filter with Unknown Variance of Measurement Noise. Sensors Yuepeng Shi, Xianfeng Tang, Xiaoliang Feng, Dingjun Bian, Xizhao Zhou
2018	J	`jnl`	Modeling Spatial-Temporal Dynamics for Traffic Prediction. CoRR Huaxiu Yao, Xianfeng Tang, Hua Wei, Guanjie Zheng, Yanwei Yu, Zhenhui Li
2018	—	`conf`	Representation Learning for Large-Scale Dynamic Networks. DASFAA (2) Yanwei Yu, Huaxiu Yao, Hongjian Wang, Xianfeng Tang, Zhenhui Li
2017	J	`jnl`	Dual-Mode Index Modulation Aided OFDM With Constellation Power Allocation and Low-Complexity Detector Design. IEEE Access Xuekun Zhang, Hongxia Bie, Qianwen Ye, Chunyang Lei, Xianfeng Tang
2010	C	`conf`	Next-generation E-health communication infrastructure using converged super-broadband optical and wireless access system. WOWMOM Arshad Chowdhury, Hung-Chang Chien, Sourabh Khire, Shu-Hao Fan, Xianfeng Tang, Nikil Jayant, Gee-Kung Chang
2009	—	`conf`	Optimization of Phase Regenerator in Differential Phase-Shift Keying Format Communication System. CSO (1) Lixia Xi, Xianfeng Tang, Shaokang Wang, Xiaoguang Zhang