Chen Gao - RankMe

204 papers A* 53A 11B 1Journal 127Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	AirCopBench: A Benchmark for Multi-drone Collaborative Embodied Perception and Reasoning. AAAI Jirong Zha, Yuxuan Fan, Tianyu Zhang, Geng Chen, Yingfeng Chen, Chen Gao, Xinlei Chen
2026	J	`jnl`	CityCube: Benchmarking Cross-view Spatial Reasoning on Vision-Language Models in Urban Environments. CoRR Haotian Xu, Yue Hu, Zhengqiu Zhu, Chen Gao, Ziyou Wang, Junreng Rao, Wenhao Lu, Weishi Li, Quanjun Yin, Yong Li
2026	A*	`conf`	DIMM: Decoupled Multi-hierarchy Kalman Filter via Reinforcement Learning. AAAI Jirong Zha, Yuxuan Fan, Kai Li, Han Li, Chen Gao, Xinlei Chen
2026	—	`conf`	DSPIGCN: Dual-stream Physics-informed Graph Convolutional Network for Reliable Pedestrian Trajectory Prediction. KDD (1) Runkang Guo, Bin Chen, Zhengqiu Zhu, Chen Gao, Yong Zhao, Quanjun Yin
2026	J	`jnl`	Disentangled Interest Network for Out-of-Distribution CTR Prediction. CoRR Yu Zheng, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Depeng Jin, Meng Wang, Yong Li
2026	J	`jnl`	Disentangled Interest Network for Out-of-Distribution CTR Prediction. ACM Trans. Inf. Syst. Yu Zheng, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Depeng Jin, Meng Wang, Yong Li
2026	J	`jnl`	Fine-grained ranking to boost unsupervised sentence embeddings. World Wide Web (WWW) Chang Liu, Chen Gao, Yong Li, Meng Wang
2026	J	`jnl`	GeoNav: Empowering MLLMs with dual-scale geospatial reasoning for language-goal aerial navigation. Pattern Recognit. Haotian Xu, Yue Hu, Chen Gao, Zhengqiu Zhu, Yong Zhao, Quanjun Yin
2026	J	`jnl`	Heterogeneous Graph Reinforcement Learning for Dependency-Aware Multi-Task Allocation in Spatial Crowdsourcing. IEEE Trans. Mob. Comput. Yong Zhao, Zhengqiu Zhu, Chen Gao, En Wang, Jincai Huang, Fei-Yue Wang
2026	A*	`conf`	SmartAgent: Chain-of-User-Thought for Embodied Personalized Agent in Cyber World. AAAI Jiaqi Zhang, Chen Gao, Liyuan Zhang, Quoc Viet Hung Nguyen, Hongzhi Yin
2026	A*	`conf`	Towards Autonomous UAV Visual Object Search in City Space: Benchmark and Agentic Methodology. AAAI Yatai Ji, Zhengqiu Zhu, Yong Zhao, Beidan Liu, Chen Gao, Yihao Zhao, Sihang Qiu, Yue Hu, Quanjun Yin
2026	J	`jnl`	Training-Free Sparse Attention for Fast Video Generation via Offline Layer-Wise Sparsity Profiling and Online Bidirectional Co-Clustering. CoRR Jiayi Luo, Jiayu Chen, Jiankun Wang, Cong Wang, Hanxin Zhu, Qingyun Sun, Chen Gao, Zhibo Chen, Jianxin Li
2026	J	`jnl`	WorldArena: A Unified Benchmark for Evaluating Perception and Functional Utility of Embodied World Models. CoRR Yu Shang, Zhuohang Li, Yiding Ma, Weikang Su, Xin Jin, Ziyou Wang, Lei Jin, Xin Zhang, Yinzhou Tang, Haisheng Su, Chen Gao, Wei Wu, Xihui Liu, Dhruv Shah, Zhaoxiang Zhang, Zhibo Chen, Jun Zhu, Yonghong Tian, Tat-Seng Chua, Wenwu Zhu, Yong Li
2025	—	`conf`	A Large-scale Dataset with Behavior, Attributes, and Content of Mobile Short-video Platform. WWW (Companion Volume) Yu Shang, Chen Gao, Nian Li, Yong Li
2025	J	`jnl`	A Large-scale Dataset with Behavior, Attributes, and Content of Mobile Short-video Platform. CoRR Yu Shang, Chen Gao, Nian Li, Yong Li
2025	J	`jnl`	A Survey of Large Language Model Empowered Agents for Recommendation and Search: Towards Next-Generation Information Retrieval. CoRR Yu Zhang, Shutong Qiao, Jiaqi Zhang, Tzu-Heng Lin, Chen Gao, Yong Li
2025	J	`jnl`	A Survey of Large Language Model-Powered Spatial Intelligence Across Scales: Advances in Embodied Agents, Smart Cities, and Earth Science. CoRR Jie Feng, Jinwei Zeng, Qingyue Long, Hongyi Chen, Jie Zhao, Yanxin Xi, Zhilun Zhou, Yuan Yuan, Shengyuan Wang, Qingbin Zeng, Songwei Li, Yunke Zhang, Yuming Lin, Tong Li, Jingtao Ding, Chen Gao, Fengli Xu, Yong Li
2025	J	`jnl`	A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy. CoRR Huandong Wang, Wenjie Fu, Yingzhou Tang, Zhilong Chen, Yuxi Huang, Jinghua Piao, Chen Gao, Fengli Xu, Tao Jiang, Yong Li
2025	J	`jnl`	Aerial World Model for Long-horizon Visual Generation and Navigation in 3D Space. CoRR Weichen Zhang, Peizhi Tang, Xin Zeng, Fanhang Man, Shiquan Yu, Zichao Dai, Baining Zhao, Hongjin Chen, Yu Shang, Wei Wu, Chen Gao, Xinlei Chen, Xin Wang, Yong Li, Wenwu Zhu
2025	—	`conf`	AgentHPO: Large Language Model Agent for Hyper-Parameter Optimization. CPAL Siyi Liu, Chen Gao, Yong Li
2025	J	`jnl`	AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Society. CoRR Jinghua Piao, Yuwei Yan, Jun Zhang, Nian Li, Junbo Yan, Xiaochong Lan, Zhihong Lu, Zhiheng Zheng, Jing Yi Wang, Di Zhou, Chen Gao, Fengli Xu, Fang Zhang, Ke Rong, Jun Su, Yong Li
2025	J	`jnl`	AirCopBench: A Benchmark for Multi-drone Collaborative Embodied Perception and Reasoning. CoRR Jirong Zha, Yuxuan Fan, Tianyu Zhang, Geng Chen, Yingfeng Chen, Chen Gao, Xinlei Chen
2025	A*	`conf`	AirScape: An Aerial Generative World Model with Motion Controllability. ACM Multimedia Baining Zhao, Rongze Tang, Mingyuan Jia, Ziyou Wang, Fanhang Man, Xin Zhang, Yu Shang, Weichen Zhang, Wei Wu, Chen Gao, Xinlei Chen, Yong Li
2025	J	`jnl`	AirScape: An Aerial Generative World Model with Motion Controllability. CoRR Baining Zhao, Rongze Tang, Mingyuan Jia, Ziyou Wang, Fanghang Man, Xin Zhang, Yu Shang, Weichen Zhang, Chen Gao, Wei Wu, Xin Wang, Xinlei Chen, Yong Li
2025	J	`jnl`	An Evaluation of Cultural Value Alignment in LLM. CoRR Nicholas Sukiennik, Chen Gao, Fengli Xu, Yong Li
2025	A*	`conf`	Analyzing and Modeling LLM Response Lengths with Extreme Value Theory: Anchoring Effects and Hybrid Distributions. EMNLP Liuxuan Jiao, Chen Gao, Yiqian Yang, Chenliang Zhou, Yixian Huang, Xinlei Chen, Yong Li
2025	J	`jnl`	Balanced Token Pruning: Accelerating Vision Language Models Beyond Local Optimization. CoRR Kaiyuan Li, Xiaoyue Chen, Chen Gao, Yong Li, Xinlei Chen
2025	J	`jnl`	Breaking student-concept sparsity barrier for cognitive diagnosis. Frontiers Comput. Sci. Pengyang Shao, Kun Zhang, Chen Gao, Lei Chen, Miaomiao Cai, Le Wu, Yong Li, Meng Wang
2025	A	`conf`	Can't Stop Scrolling: Understanding the Online Behavioral Factors and Trends of Short-Video Addiction. ICWSM Jing Yi Wang, Nicholas Sukiennik, Jinghua Piao, Zhiqiang Pan, Chen Gao, Yong Li
2025	A*	`conf`	CityEQA: A Hierarchical LLM Agent on Embodied Question Answering Benchmark in City Space. EMNLP Yong Zhao, Kai Xu, Zhengqiu Zhu, Yue Hu, Zhiheng Zheng, Yingfeng Chen, Yatai Ji, Chen Gao, Yong Li, Jincai Huang
2025	J	`jnl`	CityEQA: A Hierarchical LLM Agent on Embodied Question Answering Benchmark in City Space. CoRR Yong Zhao, Kai Xu, Zhengqiu Zhu, Yue Hu, Zhiheng Zheng, Yingfeng Chen, Yatai Ji, Chen Gao, Yong Li, Jincai Huang
2025	—	`conf`	CityNavAgent: Aerial Vision-and-Language Navigation with Hierarchical Semantic Planning and Global Memory. ACL (1) Weichen Zhang, Chen Gao, Shiquan Yu, Ruiying Peng, Baining Zhao, Qian Zhang, Jinqiang Cui, Xinlei Chen, Yong Li
2025	J	`jnl`	CityNavAgent: Aerial Vision-and-Language Navigation with Hierarchical Semantic Planning and Global Memory. CoRR Weichen Zhang, Chen Gao, Shiquan Yu, Ruiying Peng, Baining Zhao, Qian Zhang, Jinqiang Cui, Xinlei Chen, Yong Li
2025	J	`jnl`	Contrastive Weak-to-strong Generalization. CoRR Houcheng Jiang, Junfeng Fang, Jiaxin Wu, Tianyu Zhang, Chen Gao, Yong Li, Xiang Wang, Xiangnan He, Yang Deng
2025	J	`jnl`	DIMM: Decoupled Multi-hierarchy Kalman Filter for 3D Object Tracking. CoRR Jirong Zha, Yuxuan Fan, Kai Li, Han Li, Chen Gao, Xinlei Chen, Yong Li
2025	—	`conf`	Defining and Evaluating Visual Language Models' Basic Spatial Abilities: A Perspective from Psychometrics. ACL (1) Wenrui Xu, Dalin Lyu, Weihang Wang, Jie Feng, Chen Gao, Yong Li
2025	J	`jnl`	Defining and Evaluating Visual Language Models' Basic Spatial Abilities: A Perspective from Psychometrics. CoRR Wenrui Xu, Dalin Lyu, Weihang Wang, Jie Feng, Chen Gao, Yong Li
2025	J	`jnl`	Denoising Alignment with Large Language Model for Recommendation. ACM Trans. Inf. Syst. Yingtao Peng, Chen Gao, Yu Zhang, Tangpeng Dan, Xiaoyi Du, Hengliang Luo, Yong Li, Xiaofeng Meng
2025	—	`conf`	Depression Detection on Social Media with Large Language Models. EMNLP (Industry Track) Xiaochong Lan, Zhiguang Han, Yiming Cheng, Li Sheng, Jie Feng, Chen Gao, Yong Li
2025	J	`jnl`	EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent. CoRR Jiaao Li, Kaiyuan Li, Chen Gao, Yong Li, Xinlei Chen
2025	A*	`conf`	Embodied-R: Collaborative Framework for Activating Embodied Spatial Reasoning in Foundation Models via Reinforcement Learning. ACM Multimedia Baining Zhao, Ziyou Wang, Jianjie Fang, Chen Gao, Fanhang Man, Jinqiang Cui, Xin Wang, Xinlei Chen, Yong Li, Wenwu Zhu
2025	J	`jnl`	Embodied-R: Collaborative Framework for Activating Embodied Spatial Reasoning in Foundation Models via Reinforcement Learning. CoRR Baining Zhao, Ziyou Wang, Jianjie Fang, Chen Gao, Fanhang Man, Jinqiang Cui, Xin Wang, Xinlei Chen, Yong Li, Wenwu Zhu
2025	J	`jnl`	Emergence of human-like polarization among large language model agents. CoRR Jinghua Piao, Zhihong Lu, Chen Gao, Fengli Xu, Fernando P. Santos, Yong Li, James Evans
2025	J	`jnl`	Enhancing ID-based Recommendation with Large Language Models. ACM Trans. Inf. Syst. Lei Chen, Chen Gao, Xiaoyi Du, Hengliang Luo, Depeng Jin, Yong Li, Meng Wang
2025	—	`conf`	Exploring Heterogeneity and Uncertainty for Graph-based Cognitive Diagnosis Models in Intelligent Education. KDD (1) Pengyang Shao, Yonghui Yang, Chen Gao, Lei Chen, Kun Zhang, Chenyi Zhuang, Le Wu, Yong Li, Meng Wang
2025	J	`jnl`	GeoNav: Empowering MLLMs with Explicit Geospatial Reasoning Abilities for Language-Goal Aerial Navigation. CoRR Haotian Xu, Yue Hu, Chen Gao, Zhengqiu Zhu, Yong Zhao, Yong Li, Quanjun Yin
2025	A*	`conf`	Iterative Sparse Attention for Long-sequence Recommendation. AAAI Guanyu Lin, Jinwei Luo, Yinfeng Li, Chen Gao, Qun Luo, Depeng Jin
2025	J	`jnl`	Light Dynamic Graph Learning on Temporal Networks. ACM Trans. Inf. Syst. Zhiqiang Pan, Chen Gao, Fei Cai, Honghui Chen, Yong Li
2025	J	`jnl`	LongScape: Advancing Long-Horizon Embodied World Models with Context-Aware MoE. CoRR Yu Shang, Lei Jin, Yiding Ma, Xin Zhang, Chen Gao, Wei Wu, Yong Li
2025	A*	`conf`	MIA-Tuner: Adapting Large Language Models as Pre-training Text Detector. AAAI Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang
2025	J	`jnl`	Mobility Data-Driven Privacy-Preserving Model for Detecting High-Risk Infection Cases. ACM Trans. Intell. Syst. Technol. Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang
2025	J	`jnl`	Multi-view Intent Learning and Alignment with Large Language Models for Session-based Recommendation. ACM Trans. Inf. Syst. Shutong Qiao, Wei Zhou, Junhao Wen, Chen Gao, Qun Luo, Peixuan Chen, Yong Li
2025	A*	`conf`	On the Cross-Graph Transferability of Dynamic Link Prediction. WWW Zhiqiang Pan, Chen Gao, Fei Cai, Wanyu Chen, Xin Zhang, Honghui Chen, Yong Li
2025	—	`conf`	Open-Set Living Need Prediction with Large Language Models. ACL (Findings) Xiaochong Lan, Jie Feng, Yizhou Sun, Chen Gao, Jiahuan Lei, Xinleishi, Hengliang Luo, Yong Li
2025	J	`jnl`	Open-Set Living Need Prediction with Large Language Models. CoRR Xiaochong Lan, Jie Feng, Yizhou Sun, Chen Gao, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Yong Li
2025	A*	`conf`	Open3D-VQA: A Benchmark for Embodied Spatial Concept Reasoning with Multimodal Large Language Model in Open Space. ACM Multimedia Weichen Zhang, Zile Zhou, Xin Zeng, Xuchen Liu, Jianjie Fang, Chen Gao, Jinqiang Cui, Yong Li, Xinlei Chen, Xiao-Ping Zhang
2025	J	`jnl`	Open3DVQA: A Benchmark for Comprehensive Spatial Reasoning with Multimodal Large Language Model in Open Space. CoRR Weichen Zhan, Zile Zhou, Zhiheng Zheng, Chen Gao, Jinqiang Cui, Yong Li, Xinlei Chen, Xiao-Ping Zhang
2025	J	`jnl`	PLPHP: Per-Layer Per-Head Vision Token Pruning for Efficient Large Vision-Language Models. CoRR Yu Meng, Kaiyuan Li, Chenran Huang, Chen Gao, Xinlei Chen, Yong Li, Xiaoping Zhang
2025	J	`jnl`	Privacy-preserving recommendation with coarse-grained spatiotemporal contexts. Sci. China Inf. Sci. Lei Chen, Chen Gao, Jiahuan Lei, Xiaoyi Du, Xinlei Shi, Hengliang Luo, Depeng Jin, Yong Li, Meng Wang
2025	J	`jnl`	Psychology-driven LLM Agents for Explainable Panic Prediction on Social Media during Sudden Disaster Events. CoRR Mengzhu Liu, Zhengqiu Zhu, Chuan Ai, Chen Gao, Xinghong Li, Lingnan He, Kaisheng Lai, Yingfeng Chen, Xin Lu, Yong Li, Quanjun Yin
2025	A*	`conf`	PychoAgent: Psychology-driven LLM Agents for Explainable Panic Prediction on Social Media during Sudden Disaster Events. EMNLP Mengzhu Liu, Zhengqiu Zhu, Chuan Ai, Chen Gao, Xinghong Li, Lingnan He, Kaisheng Lai, Yingfeng Chen, Xin Lu, Yong Li, Quanjun Yin
2025	J	`jnl`	Rationality Check! Benchmarking the Rationality of Large Language Models. CoRR Zhilun Zhou, Jing Yi Wang, Nicholas Sukiennik, Chen Gao, Fengli Xu, Yong Li, James Evans
2025	J	`jnl`	RoboScape-R: Unified Reward-Observation World Models for Generalizable Robotics Training via RL. CoRR Yinzhou Tang, Yu Shang, Yinuo Chen, Bingwen Wei, Xin Zhang, Shu'ang Yu, Liangzhi Shi, Chao Yu, Chen Gao, Wei Wu, Yong Li
2025	J	`jnl`	RoboScape: Physics-informed Embodied World Model. CoRR Yu Shang, Xin Zhang, Yinzhou Tang, Lei Jin, Chen Gao, Wei Wu, Yong Li
2025	J	`jnl`	Simulating Filter Bubble on Short-video Recommender System with Large Language Model Agents. CoRR Nicholas Sukiennik, Haoyu Wang, Zailin Zeng, Chen Gao, Yong Li
2025	A*	`conf`	Social Bots Meet Large Language Model: Political Bias and Social Learning Inspired Mitigation Strategies. WWW Jinghua Piao, Zhihong Lu, Chen Gao, Yong Li
2025	J	`jnl`	The Point, the Vision and the Text: Does Point Cloud Boost Spatial Reasoning of Large Language Models? CoRR Weichen Zhang, Ruiying Peng, Chen Gao, Jianjie Fang, Xin Zeng, Kaiyuan Li, Ziyou Wang, Jinqiang Cui, Xin Wang, Xinlei Chen, Yong Li
2025	J	`jnl`	The Roots of International Perceptions: Simulating US Attitude Changes Towards China with LLM Agents. CoRR Nicholas Sukiennik, Yichuan Xu, Yuqing Kan, Jinghua Piao, Yuwei Yan, Chen Gao, Yong Li
2025	J	`jnl`	Toward large reasoning models: A survey of reinforced reasoning with large language models. Patterns Fengli Xu, Qianyue Hao, Chenyang Shao, Zefang Zong, Yu Li, Jingwei Wang, Yunke Zhang, Jingyi Wang, Xiaochong Lan, Jiahui Gong, Tianjian Ouyang, Fanjin Meng, Yuwei Yan, Qinglong Yang, Yiwen Song, Sijian Ren, Xinyuan Hu, Jie Feng, Chen Gao, Yong Li
2025	J	`jnl`	Towards Autonomous UAV Visual Object Search in City Space: Benchmark and Agentic Methodology. CoRR Yatai Ji, Zhengqiu Zhu, Yong Zhao, Beidan Liu, Chen Gao, Yihao Zhao, Sihang Qiu, Yue Hu, Quanjun Yin, Yong Li
2025	J	`jnl`	Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models. CoRR Fengli Xu, Qianyue Hao, Zefang Zong, Jingwei Wang, Yunke Zhang, Jingyi Wang, Xiaochong Lan, Jiahui Gong, Tianjian Ouyang, Fanjin Meng, Chenyang Shao, Yuwei Yan, Qinglong Yang, Yiwen Song, Sijian Ren, Xinyuan Hu, Yu Li, Jie Feng, Chen Gao, Yong Li
2025	J	`jnl`	Understanding and Evaluating Hallucinations in 3D Visual Language Models. CoRR Ruiying Peng, Kaiyuan Li, Weichen Zhang, Chen Gao, Xinlei Chen, Yong Li
2025	J	`jnl`	UniCO: Towards a Unified Model for Combinatorial Optimization Problems. CoRR Zefang Zong, Xiaochen Wei, Guozhen Zhang, Chen Gao, Huandong Wang, Yong Li
2025	—	`conf`	UrbanVideo-Bench: Benchmarking Vision-Language Models on Embodied Intelligence with Video Data in Urban Spaces. ACL (1) Baining Zhao, Jianjie Fang, Zichao Dai, Ziyou Wang, Jirong Zha, Weichen Zhang, Chen Gao, Yue Wang, Jinqiang Cui, Xinlei Chen, Yong Li
2025	J	`jnl`	UrbanVideo-Bench: Benchmarking Vision-Language Models on Embodied Intelligence with Video Data in Urban Spaces. CoRR Baining Zhao, Jianjie Fang, Zichao Dai, Ziyou Wang, Jirong Zha, Weichen Zhang, Chen Gao, Yue Wang, Jinqiang Cui, Xinlei Chen, Yong Li
2024	J	`jnl`	Alleviating Video-length Effect for Micro-video Recommendation. ACM Trans. Inf. Syst. Yuhan Quan, Jingtao Ding, Chen Gao, Nian Li, Lingling Yi, Depeng Jin, Yong Li
2024	J	`jnl`	Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation. ACM Trans. Inf. Syst. Mingshi Yan, Zhiyong Cheng, Chen Gao, Jing Sun, Fan Liu, Fuming Sun, Haojie Li
2024	J	`jnl`	Causal Inference in Recommender Systems: A Survey and Future Directions. ACM Trans. Inf. Syst. Chen Gao, Yu Zheng, Wenjie Wang, Fuli Feng, Xiangnan He, Yong Li
2024	J	`jnl`	Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation. ACM Trans. Inf. Syst. Chang Meng, Ziqi Zhao, Wei Guo, Yingxue Zhang, Haolun Wu, Chen Gao, Dong Li, Xiu Li, Ruiming Tang
2024	J	`jnl`	Depression Detection on Social Media with Large Language Models. CoRR Xiaochong Lan, Yiming Cheng, Li Sheng, Chen Gao, Yong Li
2024	—	`conf`	EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic Activities. ACL (1) Nian Li, Chen Gao, Mingyu Li, Yong Li, Qingmin Liao
2024	J	`jnl`	EmbodiedCity: A Benchmark Platform for Embodied Agent in Real-world City Environment. CoRR Chen Gao, Baining Zhao, Weichen Zhang, Jinzhu Mao, Jun Zhang, Zhiheng Zheng, Fanhang Man, Jianjie Fang, Zile Zhou, Jinqiang Cui, Xinlei Chen, Yong Li
2024	J	`jnl`	Enhancing ID-based Recommendation with Large Language Models. CoRR Lei Chen, Chen Gao, Xiaoyi Du, Hengliang Luo, Depeng Jin, Yong Li, Meng Wang
2024	A*	`conf`	Full-stage Diversified Recommendation: Large-scale Online Experiments in Short-video Platform. WWW Nian Li, Yunzhu Pan, Chen Gao, Depeng Jin, Qingmin Liao
2024	J	`jnl`	Heterogeneous Graph Reinforcement Learning for Dependency-aware Multi-task Allocation in Spatial Crowdsourcing. CoRR Yong Zhao, Zhengqiu Zhu, Chen Gao, En Wang, Jincai Huang, Fei-Yue Wang
2024	J	`jnl`	Identify Critical Nodes in Complex Network with Large Language Models. CoRR Jinzhu Mao, Dongyun Zou, Li Sheng, Siyi Liu, Chen Gao, Yue Wang, Yong Li
2024	J	`jnl`	Improving Cognitive Diagnosis Models with Adaptive Relational Graph Neural Networks. CoRR Pengyang Shao, Chen Gao, Lei Chen, Yonghui Yang, Kun Zhang, Meng Wang
2024	A*	`conf`	Improving Item-side Fairness of Multimodal Recommendation via Modality Debiasing. WWW Yu Shang, Chen Gao, Jiansheng Chen, Depeng Jin, Yong Li
2024	A	`conf`	Inverse Learning with Extremely Sparse Feedback for Recommendation. WSDM Guanyu Lin, Chen Gao, Yu Zheng, Yinfeng Li, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Zhiheng Li, Depeng Jin, Yong Li
2024	J	`jnl`	LLM-assisted Explicit and Implicit Multi-interest Learning Framework for Sequential Recommendation. CoRR Shutong Qiao, Chen Gao, Yong Li, Hongzhi Yin
2024	J	`jnl`	LLM4SBR: A Lightweight and Effective Framework for Integrating Large Language Models in Session-based Recommendation. CoRR Shutong Qiao, Chen Gao, Junhao Wen, Wei Zhou, Qun Luo, Peixuan Chen, Yong Li
2024	J	`jnl`	Large Language Model Agent for Hyper-Parameter Optimization. CoRR Siyi Liu, Chen Gao, Yong Li
2024	J	`jnl`	Learning from Hierarchical Structure of Knowledge Graph for Recommendation. ACM Trans. Inf. Syst. Yingrong Qin, Chen Gao, Shuangqing Wei, Yue Wang, Depeng Jin, Jian Yuan, Lin Zhang, Dong Li, Jianye Hao, Yong Li
2024	J	`jnl`	MIA-Tuner: Adapting Large Language Models as Pre-training Text Detector. CoRR Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang
2024	A*	`conf`	Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration. NeurIPS Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang
2024	A	`conf`	Mixed Attention Network for Cross-domain Sequential Recommendation. WSDM Guanyu Lin, Chen Gao, Yu Zheng, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Zhiheng Li, Depeng Jin, Yong Li, Meng Wang
2024	A*	`conf`	Modeling User Fatigue for Sequential Recommendation. SIGIR Nian Li, Xin Ban, Cheng Ling, Chen Gao, Lantao Hu, Peng Jiang, Kun Gai, Yong Li, Qingmin Liao
2024	J	`jnl`	Modeling User Fatigue for Sequential Recommendation. CoRR Nian Li, Xin Ban, Cheng Ling, Chen Gao, Lantao Hu, Peng Jiang, Kun Gai, Yong Li, Qingmin Liao
2024	J	`jnl`	Privacy-Preserving Individual-Level COVID-19 Infection Prediction via Federated Graph Learning. ACM Trans. Inf. Syst. Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang
2024	—	`conf`	Simulating Human Society with Large Language Model Agents: City, Social Media, and Economic System. WWW (Companion Volume) Chen Gao, Fengli Xu, Xu Chen, Xiang Wang, Xiangnan He, Yong Li
2024	J	`jnl`	SmartAgent: Chain-of-User-Thought for Embodied Personalized Agent in Cyber World. CoRR Jiaqi Zhang, Chen Gao, Liyuan Zhang, Yong Li, Hongzhi Yin
2024	A	`conf`	Stance Detection with Collaborative Role-Infused LLM-Based Agents. ICWSM Xiaochong Lan, Chen Gao, Depeng Jin, Yong Li
2024	A*	`conf`	Uncovering the Deep Filter Bubble: Narrow Exposure in Short-Video Recommendation. WWW Nicholas Sukiennik, Chen Gao, Nian Li
2024	J	`jnl`	Uncovering the Deep Filter Bubble: Narrow Exposure in Short-Video Recommendation. CoRR Nicholas Sukiennik, Chen Gao, Nian Li
2023	J	`jnl`	A Probabilistic Fluctuation based Membership Inference Attack for Diffusion Models. CoRR Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang
2023	J	`jnl`	A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions. Trans. Recomm. Syst. Chen Gao, Yu Zheng, Nian Li, Yinfeng Li, Yingrong Qin, Jinghua Piao, Yuhan Quan, Jianxin Chang, Depeng Jin, Xiangnan He, Yong Li
2023	J	`jnl`	Alleviating Video-Length Effect for Micro-video Recommendation. CoRR Yuhan Quan, Jingtao Ding, Chen Gao, Nian Li, Lingling Yi, Depeng Jin, Yong Li
2023	A*	`conf`	Breaking Filter Bubble: A Reinforcement Learning Framework of Controllable Recommender System. WWW Zhenyang Li, Yancheng Dong, Chen Gao, Yizhou Zhao, Dong Li, Jianye Hao, Kai Zhang, Yong Li, Zhi Wang
2023	J	`jnl`	Bundle Recommendation and Generation With Graph Neural Networks. IEEE Trans. Knowl. Data Eng. Jianxin Chang, Chen Gao, Xiangnan He, Depeng Jin, Yong Li
2023	J	`jnl`	Cross-Platform Item Recommendation for Online Social E-Commerce. IEEE Trans. Knowl. Data Eng. Chen Gao, Tzu-Heng Lin, Nian Li, Depeng Jin, Yong Li
2023	A*	`conf`	Detecting Vulnerable Nodes in Urban Infrastructure Interdependent Network. KDD Jinzhu Mao, Liu Cao, Chen Gao, Huandong Wang, Hangyu Fan, Depeng Jin, Yong Li
2023	J	`jnl`	Detecting Vulnerable Nodes in Urban Infrastructure Interdependent Network. CoRR Jinzhu Mao, Liu Cao, Chen Gao, Huandong Wang, Hangyu Fan, Depeng Jin, Yong Li
2023	J	`jnl`	Disentangled Modeling of Social Homophily and Influence for Social Recommendation. IEEE Trans. Knowl. Data Eng. Nian Li, Chen Gao, Depeng Jin, Qingmin Liao
2023	J	`jnl`	Disentangling Geographical Effect for Point-of-Interest Recommendation. IEEE Trans. Knowl. Data Eng. Yingrong Qin, Chen Gao, Yue Wang, Shuangqing Wei, Depeng Jin, Jian Yuan, Lin Zhang
2023	A*	`conf`	Dual-interest Factorization-heads Attention for Sequential Recommendation. WWW Guanyu Lin, Chen Gao, Yu Zheng, Jianxin Chang, Yanan Niu, Yang Song, Zhiheng Li, Depeng Jin, Yong Li
2023	J	`jnl`	Dual-interest Factorization-heads Attention for Sequential Recommendation. CoRR Guanyu Lin, Chen Gao, Yu Zheng, Jianxin Chang, Yanan Niu, Yang Song, Zhiheng Li, Depeng Jin, Yong Li
2023	A*	`conf`	Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering. KDD Yan Wen, Chen Gao, Lingling Yi, Liwei Qiu, Yaqing Wang, Yong Li
2023	J	`jnl`	Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering. CoRR Yan Wen, Chen Gao, Lingling Yi, Liwei Qiu, Yaqing Wang, Yong Li
2023	A*	`conf`	Enhancing Adversarial Robustness of Multi-modal Recommendation via Modality Balancing. ACM Multimedia Yu Shang, Chen Gao, Jiansheng Chen, Depeng Jin, Huimin Ma, Yong Li
2023	J	`jnl`	Incorporating Price into Recommendation With Graph Convolutional Networks. IEEE Trans. Knowl. Data Eng. Yu Zheng, Chen Gao, Xiangnan He, Depeng Jin, Yong Li
2023	J	`jnl`	Inverse Learning with Extremely Sparse Feedback for Recommendation. CoRR Guanyu Lin, Chen Gao, Yu Zheng, Yinfeng Li, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Zhiheng Li, Depeng Jin, Yong Li
2023	J	`jnl`	Large Language Model-Empowered Agents for Simulating Macroeconomic Activities. CoRR Nian Li, Chen Gao, Yong Li, Qingmin Liao
2023	J	`jnl`	Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives. CoRR Chen Gao, Xiaochong Lan, Nian Li, Yuan Yuan, Jingtao Ding, Zhilun Zhou, Fengli Xu, Yong Li
2023	A*	`conf`	Learning Fine-grained User Interests for Micro-video Recommendation. SIGIR Yu Shang, Chen Gao, Jiansheng Chen, Depeng Jin, Meng Wang, Yong Li
2023	A	`conf`	Learning and Optimization of Implicit Negative Feedback for Industrial Short-video Recommender System. CIKM Yunzhu Pan, Nian Li, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Depeng Jin, Yong Li
2023	J	`jnl`	Learning and Optimization of Implicit Negative Feedback for Industrial Short-video Recommender System. CoRR Yunzhu Pan, Nian Li, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Depeng Jin, Yong Li
2023	J	`jnl`	Mixed Attention Network for Cross-domain Sequential Recommendation. CoRR Guanyu Lin, Chen Gao, Yu Zheng, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Zhiheng Li, Depeng Jin, Yong Li, Meng Wang
2023	—	`conf`	Modeling Multi-Grained User Preference in Location Visitation. SIGSPATIAL/GIS Yingrong Qin, Chen Gao, Zhen Tu, Hongsheng Wu, Shuangqing Wei, Yue Wang, Lin Zhang, Yong Li
2023	A*	`conf`	NEON: Living Needs Prediction System in Meituan. KDD Xiaochong Lan, Chen Gao, Shiqi Wen, Xiuqi Chen, Yingge Che, Han Zhang, Huazhou Wei, Hengliang Luo, Yong Li
2023	J	`jnl`	NEON: Living Needs Prediction System in Meituan. CoRR Xiaochong Lan, Chen Gao, Shiqi Wen, Xiuqi Chen, Yingge Che, Han Zhang, Huazhou Wei, Hengliang Luo, Yong Li
2023	J	`jnl`	Practical Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration. CoRR Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang
2023	J	`jnl`	Privacy-Preserving Individual-Level COVID-19 Infection Prediction via Federated Graph Learning. CoRR Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang
2023	A*	`conf`	Robust Preference-Guided Denoising for Graph based Social Recommendation. WWW Yuhan Quan, Jingtao Ding, Chen Gao, Lingling Yi, Depeng Jin, Yong Li
2023	J	`jnl`	Robust Preference-Guided Denoising for Graph based Social Recommendation. CoRR Yuhan Quan, Jingtao Ding, Chen Gao, Lingling Yi, Depeng Jin, Yong Li
2023	J	`jnl`	S CoRR Chen Gao, Xiaochong Lan, Zhihong Lu, Jinzhu Mao, Jinghua Piao, Huandong Wang, Depeng Jin, Yong Li
2023	J	`jnl`	Stance Detection with Collaborative Role-Infused LLM-Based Agents. CoRR Xiaochong Lan, Chen Gao, Depeng Jin, Yong Li
2023	A*	`conf`	Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation. SIGIR Taichi Liu, Chen Gao, Zhenyu Wang, Dong Li, Jianye Hao, Depeng Jin, Yong Li
2023	J	`jnl`	Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation. CoRR Taichi Liu, Chen Gao, Zhenyu Wang, Dong Li, Jianye Hao, Depeng Jin, Yong Li
2023	A	`conf`	Understanding and Modeling Passive-Negative Feedback for Short-video Sequential Recommendation. RecSys Yunzhu Pan, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Depeng Jin, Yong Li
2023	J	`jnl`	Understanding and Modeling Passive-Negative Feedback for Short-video Sequential Recommendation. CoRR Yunzhu Pan, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Depeng Jin, Yong Li
2023	J	`jnl`	Urban Generative Intelligence (UGI): A Foundational Platform for Agents in Embodied City Environment. CoRR Fengli Xu, Jun Zhang, Chen Gao, Jie Feng, Yong Li
2022	A	`conf`	An Exploratory Study of Information Cocoon on Short-form Video Platform. CIKM Nian Li, Chen Gao, Jinghua Piao, Xin Huang, Aizhen Yue, Liang Zhou, Qingmin Liao, Yong Li
2022	A*	`conf`	Automatically Discovering User Consumption Intents in Meituan. KDD Yinfeng Li, Chen Gao, Xiaoyi Du, Huazhou Wei, Hengliang Luo, Depeng Jin, Yong Li
2022	J	`jnl`	Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation. CoRR Mingshi Yan, Zhiyong Cheng, Chen Gao, Jing Sun, Fan Liu, Fuming Sun, Haojie Li
2022	J	`jnl`	Causal Inference in Recommender Systems: A Survey and Future Directions. CoRR Chen Gao, Yu Zheng, Wenjie Wang, Fuli Feng, Xiangnan He, Yong Li
2022	J	`jnl`	Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation. CoRR Chang Meng, Ziqi Zhao, Wei Guo, Yingxue Zhang, Haolun Wu, Chen Gao, Dong Li, Xiu Li, Ruiming Tang
2022	J	`jnl`	Cross-domain Recommendation with Bridge-Item Embeddings. ACM Trans. Knowl. Discov. Data Chen Gao, Yong Li, Fuli Feng, Xiangning Chen, Kai Zhao, Xiangnan He, Depeng Jin
2022	A*	`conf`	DVR: Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias. ACM Multimedia Yu Zheng, Chen Gao, Jingtao Ding, Lingling Yi, Depeng Jin, Yong Li, Meng Wang
2022	J	`jnl`	DVR: Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias. CoRR Yu Zheng, Chen Gao, Jingtao Ding, Lingling Yi, Depeng Jin, Yong Li, Meng Wang
2022	J	`jnl`	DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Prediction. CoRR Yinfeng Li, Chen Gao, Quanming Yao, Tong Li, Depeng Jin, Yong Li
2022	A*	`conf`	Disentangling Long and Short-Term Interests for Recommendation. WWW Yu Zheng, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Depeng Jin, Yong Li
2022	J	`jnl`	Disentangling Long and Short-Term Interests for Recommendation. CoRR Yu Zheng, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Depeng Jin, Yong Li
2022	J	`jnl`	Dual Contrastive Network for Sequential Recommendation with User and Item-Centric Perspectives. CoRR Guanyu Lin, Chen Gao, Yinfeng Li, Yu Zheng, Zhiheng Li, Depeng Jin, Yong Li
2022	A*	`conf`	Dual Contrastive Network for Sequential Recommendation. SIGIR Guanyu Lin, Chen Gao, Yinfeng Li, Yu Zheng, Zhiheng Li, Depeng Jin, Yong Li
2022	A*	`conf`	Enhancing Hypergraph Neural Networks with Intent Disentanglement for Session-based Recommendation. SIGIR Yinfeng Li, Chen Gao, Hengliang Luo, Depeng Jin, Yong Li
2022	A	`conf`	Graph Neural Networks for Recommender System. WSDM Chen Gao, Xiang Wang, Xiangnan He, Yong Li
2022	J	`jnl`	Item Recommendation for Word-of-Mouth Scenario in Social E-Commerce. IEEE Trans. Knowl. Data Eng. Chen Gao, Chao Huang, Donghan Yu, Haohao Fu, Tzu-Heng Lin, Depeng Jin, Yong Li
2022	A*	`conf`	Modeling Persuasion Factor of User Decision for Recommendation. KDD Chang Liu, Chen Gao, Yuan Yuan, Chen Bai, Lingrui Luo, Xiaoyi Du, Xinlei Shi, Hengliang Luo, Depeng Jin, Yong Li
2022	J	`jnl`	Practitioners Versus Users: A Value-Sensitive Evaluation of Current Industrial Recommender System Design. CoRR Zhilong Chen, Jinghua Piao, Xiaochong Lan, Hancheng Cao, Chen Gao, Zhicong Lu, Yong Li
2022	J	`jnl`	Practitioners Versus Users: A Value-Sensitive Evaluation of Current Industrial Recommender System Design. Proc. ACM Hum. Comput. Interact. Zhilong Chen, Jinghua Piao, Xiaochong Lan, Hancheng Cao, Chen Gao, Zhicong Lu, Yong Li
2022	J	`jnl`	Social Recommendation With Characterized Regularization. IEEE Trans. Knowl. Data Eng. Chen Gao, Nian Li, Tzu-Heng Lin, Dongsheng Lin, Jun Zhang, Yong Li, Depeng Jin
2022	A	`conf`	Spatiotemporal-aware Session-based Recommendation with Graph Neural Networks. CIKM Yinfeng Li, Chen Gao, Xiaoyi Du, Huazhou Wei, Hengliang Luo, Depeng Jin, Yong Li
2021	J	`jnl`	Anonymization and De-Anonymization of Mobility Trajectories: Dissecting the Gaps Between Theory and Practice. IEEE Trans. Mob. Comput. Huandong Wang, Yong Li, Chen Gao, Gang Wang, Xiaoming Tao, Depeng Jin
2021	J	`jnl`	Bringing Friends into the Loop of Recommender Systems: An Exploratory Study. Proc. ACM Hum. Comput. Interact. Jinghua Piao, Guozhen Zhang, Fengli Xu, Zhilong Chen, Yu Zheng, Chen Gao, Yong Li
2021	A*	`conf`	DGCN: Diversified Recommendation with Graph Convolutional Networks. WWW Yu Zheng, Chen Gao, Liang Chen, Depeng Jin, Yong Li
2021	J	`jnl`	DGCN: Diversified Recommendation with Graph Convolutional Networks. CoRR Yu Zheng, Chen Gao, Liang Chen, Depeng Jin, Yong Li
2021	A*	`conf`	Disentangling User Interest and Conformity for Recommendation with Causal Embedding. WWW Yu Zheng, Chen Gao, Xiang Li, Xiangnan He, Yong Li, Depeng Jin
2021	A*	`conf`	Efficient Data-specific Model Search for Collaborative Filtering. KDD Chen Gao, Quanming Yao, Depeng Jin, Yong Li
2021	J	`jnl`	Efficient Data-specific Model Search for Collaborative Filtering. CoRR Chen Gao, Quanming Yao, Depeng Jin, Yong Li
2021	J	`jnl`	Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions. CoRR Chen Gao, Yu Zheng, Nian Li, Yinfeng Li, Yingrong Qin, Jinghua Piao, Yuhan Quan, Jianxin Chang, Depeng Jin, Xiangnan He, Yong Li
2021	A*	`conf`	Group-Buying Recommendation for Social E-Commerce. ICDE Jun Zhang, Chen Gao, Depeng Jin, Yong Li
2021	J	`jnl`	Improving Location Recommendation with Urban Knowledge Graph. CoRR Chang Liu, Chen Gao, Depeng Jin, Yong Li
2021	J	`jnl`	Inhomogeneous Social Recommendation with Hypergraph Convolutional Networks. CoRR Zirui Zhu, Chen Gao, Xu Chen, Nian Li, Depeng Jin, Yong Li
2021	J	`jnl`	Learnable Embedding Sizes for Recommender Systems. CoRR Siyi Liu, Chen Gao, Yihong Chen, Depeng Jin, Yong Li
2021	A*	`conf`	Learnable Embedding sizes for Recommender Systems. ICLR Siyi Liu, Chen Gao, Yihong Chen, Depeng Jin, Yong Li
2021	J	`jnl`	Learning to Recommend With Multiple Cascading Behaviors. IEEE Trans. Knowl. Data Eng. Chen Gao, Xiangnan He, Dahua Gan, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua, Lina Yao, Yang Song, Depeng Jin
2021	A*	`conf`	Progressive Feature Interaction Search for Deep Sparse Network. NeurIPS Chen Gao, Yinfeng Li, Quanming Yao, Depeng Jin, Yong Li
2021	A*	`conf`	Sequential Recommendation with Graph Neural Networks. SIGIR Jianxin Chang, Chen Gao, Yu Zheng, Yiqun Hui, Yanan Niu, Yang Song, Depeng Jin, Yong Li
2021	J	`jnl`	Sequential Recommendation with Graph Neural Networks. CoRR Jianxin Chang, Chen Gao, Yu Zheng, Yiqun Hui, Yanan Niu, Yang Song, Depeng Jin, Yong Li
2021	A*	`conf`	User Consumption Intention Prediction in Meituan. KDD Yukun Ping, Chen Gao, Taichi Liu, Xiaoyi Du, Hengliang Luo, Depeng Jin, Yong Li
2020	A*	`conf`	Advances in Recommender Systems: From Multi-stakeholder Marketplaces to Automated RecSys. KDD Rishabh Mehrotra, Ben Carterette, Yong Li, Quanming Yao, Chen Gao, James T. Kwok, Qiang Yang, Isabelle Guyon
2020	A*	`conf`	Bundle Recommendation with Graph Convolutional Networks. SIGIR Jianxin Chang, Chen Gao, Xiangnan He, Depeng Jin, Yong Li
2020	J	`jnl`	Bundle Recommendation with Graph Convolutional Networks. CoRR Jianxin Chang, Chen Gao, Xiangnan He, Yong Li, Depeng Jin
2020	A*	`conf`	DPLCF: Differentially Private Local Collaborative Filtering. SIGIR Chen Gao, Chao Huang, Dongsheng Lin, Depeng Jin, Yong Li
2020	J	`jnl`	Disentangling User Interest and Popularity Bias for Recommendation with Causal Embedding. CoRR Yu Zheng, Chen Gao, Xiang Li, Xiangnan He, Yong Li, Depeng Jin
2020	J	`jnl`	Group-Buying Recommendation for Social E-Commerce. CoRR Jun Zhang, Chen Gao, Depeng Jin, Yong Li
2020	A*	`conf`	Multi-behavior Recommendation with Graph Convolutional Networks. SIGIR Bowen Jin, Chen Gao, Xiangnan He, Depeng Jin, Yong Li
2020	A*	`conf`	Price-aware Recommendation with Graph Convolutional Networks. ICDE Yu Zheng, Chen Gao, Xiangnan He, Yong Li, Depeng Jin
2020	J	`jnl`	Price-aware Recommendation with Graph Convolutional Networks. CoRR Yu Zheng, Chen Gao, Xiangnan He, Yong Li, Depeng Jin
2020	J	`jnl`	Revealing Physical World Privacy Leakage by Cyberspace Cookie Logs. IEEE Trans. Netw. Serv. Manag. Huandong Wang, Chen Gao, Yong Li, Zhi-Li Zhang, Depeng Jin
2019	J	`jnl`	CMBPR: Category-Aided Multi-Channel Bayesian Personalized Ranking for Short Video Recommendation. IEEE Access Xichen Wang, Chen Gao, Jingtao Ding, Yong Li, Depeng Jin
2019	A*	`conf`	CROSS: Cross-platform Recommendation for Social E-Commerce. SIGIR Tzu-Heng Lin, Chen Gao, Yong Li
2019	A*	`conf`	Cross-domain Recommendation Without Sharing User-relevant Data. WWW Chen Gao, Xiangning Chen, Fuli Feng, Kai Zhao, Xiangnan He, Yong Li, Depeng Jin
2019	A*	`conf`	DeepAPF: Deep Attentive Probabilistic Factorization for Multi-site Video Recommendation. IJCAI Huan Yan, Xiangning Chen, Chen Gao, Yong Li, Depeng Jin
2019	J	`jnl`	LambdaOpt: Learn to Regularize Recommender Models in Finer Levels. CoRR Yihong Chen, Bei Chen, Xiangnan He, Chen Gao, Yong Li, Jian-Guang Lou, Yue Wang
2019	A*	`conf`	Neural Multi-task Recommendation from Multi-behavior Data. ICDE Chen Gao, Xiangnan He, Dahua Gan, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua, Depeng Jin
2019	J	`jnl`	Privacy-preserving Cross-domain Location Recommendation. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Chen Gao, Chao Huang, Yue Yu, Huandong Wang, Yong Li, Depeng Jin
2019	B	`conf`	Social Weak-tie Assisted Cross-domain Short Video Recommendation. IWCMC Xichen Wang, Chen Gao, Jingtao Ding, Long Hu, Ying Hu, Yong Li, Depeng Jin
2019	A*	`conf`	λOpt: Learn to Regularize Recommender Models in Finer Levels. KDD Yihong Chen, Bei Chen, Xiangnan He, Chen Gao, Yong Li, Jian-Guang Lou, Yue Wang
2018	A*	`conf`	De-anonymization of Mobility Trajectories: Dissecting the Gaps between Theory and Practice. NDSS Huandong Wang, Chen Gao, Yong Li, Gang Wang, Depeng Jin, Jingbo Sun
2018	J	`jnl`	Learning Recommender Systems from Multi-Behavior Data. CoRR Chen Gao, Xiangnan He, Dahua Gan, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua, Depeng Jin
2018	A	`conf`	Recommender Systems with Characterized Social Regularization. CIKM Tzu-Heng Lin, Chen Gao, Yong Li
2018	J	`jnl`	Recommender Systems with Characterized Social Regularization. CoRR Tzu-Heng Lin, Chen Gao, Yong Li
2017	A	`conf`	From Fingerprint to Footprint: Revealing Physical World Privacy Leakage by Cyberspace Cookie Logs. CIKM Huandong Wang, Chen Gao, Yong Li, Zhi-Li Zhang, Depeng Jin