Yaliang Li - RankMe

331 papers A* 90A 23B 7Misc 3Journal 177Unranked 30

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accurate Table Question Answering with Accessible LLMs. CoRR Yangfan Jiang, Fei Wei, Ergute Bao, Yaliang Li, Bolin Ding, Yin Yang, Xiaokui Xiao
2026	J	`jnl`	Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model Agents. CoRR Yi Yu, Liuyi Yao, Yuexiang Xie, Qingquan Tan, Jiaqi Feng, Yaliang Li, Libing Wu
2026	J	`jnl`	BindCLIP: A Unified Contrastive-Generative Representation Learning Framework for Virtual Screening. CoRR Anjie Qiao, Zhen Wang, Yaliang Li, Jiahua Rao, Yuedong Yang
2026	J	`jnl`	Enhancing Multimodal Retrieval via Complementary Information Extraction and Alignment. CoRR Delong Zeng, Yuexiang Xie, Yaliang Li, Ying Shen
2026	J	`jnl`	IntentRL: Training Proactive User-intent Agents for Open-ended Deep Research via Reinforcement Learning. CoRR Haohao Luo, Zexi Li, Yuexiang Xie, Wenhao Zhang, Yaliang Li, Ying Shen
2026	J	`jnl`	On the Entropy Dynamics in Reinforcement Fine-Tuning of Large Language Models. CoRR Shumin Wang, Yuexiang Xie, Wenhao Zhang, Yuchang Sun, Yanxi Chen, Yaliang Li, Yanyong Zhang
2026	J	`jnl`	R CoRR Weijie Shi, Yanxi Chen, Zexi Li, Xuchen Pan, Yuchang Sun, Jiajie Xu, Xiaofang Zhou, Yaliang Li
2026	—	`conf`	Respecting Temporal-Causal Consistency: Entity-Event Knowledge Graph for Retrieval-Augmented Generation. EACL (Volume 1: Long Papers) Ze Yu Zhang, Zitao Li, Yaliang Li, Bolin Ding, Bryan Kian Hsiang Low
2026	J	`jnl`	Retrieval Heads are Dynamic. CoRR Yuping Lin, Zitao Li, Yue Xing, Pengfei He, Yingqian Cui, Yaliang Li, Bolin Ding, Jingren Zhou, Jiliang Tang
2026	J	`jnl`	Spectral Evolution Search: Efficient Inference-Time Scaling for Reward-Aligned Image Generation. CoRR Jinyan Ye, Zhongjie Duan, Zhiwen Li, Cen Chen, Daoyuan Chen, Yaliang Li, Yingda Chen
2026	J	`jnl`	VIRAL: Visual In-Context Reasoning via Analogy in Diffusion Transformers. CoRR Zhiwen Li, Zhongjie Duan, Jinyan Ye, Cen Chen, Daoyuan Chen, Yaliang Li, Yingda Chen
2025	A*	`conf`	A Bargaining-Based Approach for Feature Trading in Vertical Federated Learning. ICDE Yue Cui, Liuyi Yao, Zitao Li, Yaliang Li, Keqin Zhong, Bingyi Liu, Bolin Ding, Xiaofang Zhou
2025	—	`conf`	Advancing Reasoning with Off-the-Shelf LLMs: A Semantic Structure Perspective. EMNLP (Findings) Pengfei He, Zitao Li, Yue Xing, Yaliang Li, Jiliang Tang, Bolin Ding
2025	A*	`conf`	Agent-Oriented Planning in Multi-Agent Systems. ICLR Ao Li, Yuexiang Xie, Songze Li, Fugee Tsung, Bolin Ding, Yaliang Li
2025	J	`jnl`	AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications. CoRR Dawei Gao, Zitao Li, Yuexiang Xie, Weirui Kuang, Liuyi Yao, Bingchen Qian, Zhijian Ma, Yue Cui, Haohao Luo, Shen Li, Lu Yi, Yi Yu, Shiqi He, Zhiling Luo, Wenmeng Zhou, Zhicheng Zhang, Xuguang He, Ziqian Chen, Weikai Liao, Farruh Isakulovich Kushnazarov, Yaliang Li, Bolin Ding, Jingren Zhou
2025	B	`conf`	AgentStory: A Multi-Agent System for Story Visualization with Multi-Subject Consistent Text-to-Image Generation. ICMR Tianchen Zhou, Zhongjie Duan, Cen Chen, Wenmeng Zhou, Yanhao Wang, Yaliang Li
2025	J	`jnl`	AttriCtrl: Fine-Grained Control of Aesthetic Attribute Intensity in Diffusion Models. CoRR Die Chen, Zhongjie Duan, Zhiwen Li, Cen Chen, Daoyuan Chen, Yaliang Li, Yinda Chen
2025	J	`jnl`	AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation. CoRR Zhiwen Li, Zhongjie Duan, Die Chen, Cen Chen, Daoyuan Chen, Yaliang Li, Yingda Chen
2025	J	`jnl`	Automated Profile Inference with Language Model Agents. CoRR Yuntao Du, Zitao Li, Bolin Ding, Yaliang Li, Hanshen Xiao, Jingren Zhou, Ninghui Li
2025	J	`jnl`	BOTS: A Unified Framework for Bayesian Online Task Selection in LLM Reinforcement Finetuning. CoRR Qianli Shen, Daoyuan Chen, Yilun Huang, Zhenqing Ling, Yaliang Li, Bolin Ding, Jingren Zhou
2025	J	`jnl`	Branch-and-Browse: Efficient and Controllable Web Exploration with Tree-Structured Reasoning and Action Memory. CoRR Shiqi He, Yue Cui, Xinyu Ma, Yaliang Li, Bolin Ding, Mosharaf Chowdhury
2025	J	`jnl`	Comprehensive Evaluation and Analysis for NSFW Concept Erasure in Text-to-Image Diffusion Models. CoRR Die Chen, Zhiwen Li, Cen Chen, Yuexiang Xie, Xiaodan Li, Jinyan Ye, Yingda Chen, Yaliang Li
2025	J	`jnl`	Data-Juicer 2.0: Cloud-Scale Adaptive Data Processing for Foundation Models. CoRR Daoyuan Chen, Yilun Huang, Xuchen Pan, Nana Jiang, Haibin Wang, Ce Ge, Yushuo Chen, Wenhao Zhang, Zhijian Ma, Yilei Zhang, Jun Huang, Wei Lin, Yaliang Li, Bolin Ding, Jingren Zhou
2025	A*	`conf`	Data-Juicer Sandbox: A Feedback-Driven Suite for Multimodal Data-Model Co-development. ICML Daoyuan Chen, Haibin Wang, Yilun Huang, Ce Ge, Yaliang Li, Bolin Ding, Jingren Zhou
2025	J	`jnl`	DeepReg: A Trustworthy and Privacy-Friendly Ownership Regulatory Framework for Deep Learning Models. IEEE Trans. Inf. Forensics Secur. Xirong Zhuang, Lan Zhang, Chen Tang, Yaliang Li
2025	J	`jnl`	Designing Algorithms Empowered by Language Models: An Analytical Framework, Case Studies, and Insights. Trans. Mach. Learn. Res. Yanxi Chen, Yaliang Li, Bolin Ding, Jingren Zhou
2025	J	`jnl`	DetailMaster: Can Your Text-to-Image Model Handle Long Prompts? CoRR Qirui Jiao, Daoyuan Chen, Yilun Huang, Xika Lin, Ying Shen, Yaliang Li
2025	J	`jnl`	Diversity as a Reward: Fine-Tuning LLMs on a Mixture of Domain-Undetermined Data. CoRR Zhenqing Ling, Daoyuan Chen, Liuyi Yao, Yaliang Li, Ying Shen
2025	J	`jnl`	Do we Really Need Visual Instructions? Towards Visual Instruction-Free Fine-tuning for Large Vision-Language Models. CoRR Zikang Liu, Kun Zhou, Wayne Xin Zhao, Dawei Gao, Yaliang Li, Ji-Rong Wen
2025	J	`jnl`	Efficient Leave-one-out Approximation in LLM Multi-agent Debate Based on Introspection. CoRR Yue Cui, Liuyi Yao, Zitao Li, Yaliang Li, Bolin Ding, Xiaofang Zhou
2025	J	`jnl`	Enhancing Latent Computation in Transformers with Latent Tokens. CoRR Yuchang Sun, Yanxi Chen, Yaliang Li, Bolin Ding
2025	—	`conf`	Enhancing Multimodal Retrieval via Complementary Information Extraction and Alignment. ACL (1) Delong Zeng, Yuexiang Xie, Yaliang Li, Ying Shen
2025	—	`conf`	Enhancing Tool Learning in Large Language Models with Hierarchical Error Checklists. ACL (Findings) Yue Cui, Liuyi Yao, Shuchang Tao, Weijie Shi, Yaliang Li, Bolin Ding, Xiaofang Zhou
2025	J	`jnl`	Enhancing Tool Learning in Large Language Models with Hierarchical Error Checklists. CoRR Yue Cui, Liuyi Yao, Shuchang Tao, Weijie Shi, Yaliang Li, Bolin Ding, Xiaofang Zhou
2025	A*	`conf`	ExVideo: Extending Video Diffusion Models via Parameter-Efficient Post-Tuning. IJCAI Zhongjie Duan, Hong Zhang, Wenmeng Zhou, Cen Chen, Yaliang Li, Yu Zhang, Yingda Chen
2025	A*	`conf`	Exploiting Task-Level Vulnerabilities: An Automatic Jailbreak Attack and Defense Benchmarking for LLMs. USENIX Security Symposium Lan Zhang, Xinben Gao, Liuyi Yao, Jinke Song, Yaliang Li
2025	B	`conf`	Exploring Selective Layer Fine-Tuning in Federated Learning. ISIT Yuchang Sun, Yuexiang Xie, Bolin Ding, Yaliang Li, Jun Zhang
2025	J	`jnl`	Functionality and Data Stealing by Pseudo-Client Attack and Target Defenses in Split Learning. IEEE Trans. Dependable Secur. Comput. Lan Zhang, Xinben Gao, Yaliang Li, Yunhao Liu
2025	—	`conf`	GenSim: A General Social Simulation Platform with Large Language Model based Agents. NAACL (System Demonstrations) Jiakai Tang, Heyang Gao, Xuchen Pan, Lei Wang, Haoran Tan, Dawei Gao, Yushuo Chen, Xu Chen, Yankai Lin, Yaliang Li, Bolin Ding, Jingren Zhou, Jun Wang, Ji-Rong Wen
2025	J	`jnl`	Grounded in Reality: Learning and Deploying Proactive LLM from Offline Logs. CoRR Fei Wei, Daoyuan Chen, Ce Wang, Yilun Huang, Yushuo Chen, Xuchen Pan, Yaliang Li, Bolin Ding
2025	J	`jnl`	Group-Relative REINFORCE Is Secretly an Off-Policy Algorithm: Demystifying Some Myths About GRPO and Its Friends. CoRR Chaorui Yao, Yanxi Chen, Yuchang Sun, Yushuo Chen, Wenhao Zhang, Xuchen Pan, Yaliang Li, Bolin Ding
2025	A*	`conf`	Growth Inhibitors for Suppressing Inappropriate Image Concepts in Diffusion Models. ICLR Die Chen, Zhiwen Li, Mingyuan Fan, Cen Chen, Wenmeng Zhou, Yanhao Wang, Yaliang Li
2025	A*	`conf`	Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models. CVPR Qirui Jiao, Daoyuan Chen, Yilun Huang, Bolin Ding, Yaliang Li, Ying Shen
2025	J	`jnl`	KIMAs: A Configurable Knowledge Integrated Multi-Agent System. CoRR Zitao Li, Fei Wei, Yuexiang Xie, Dawei Gao, Weirui Kuang, Zhijian Ma, Bingchen Qian, Yaliang Li, Bolin Ding
2025	—	`conf`	Knowledge Graph-Guided Retrieval Augmented Generation. NAACL (Long Papers) Xiangrong Zhu, Yuexiang Xie, Yi Liu, Yaliang Li, Wei Hu
2025	J	`jnl`	Knowledge Graph-Guided Retrieval Augmented Generation. CoRR Xiangrong Zhu, Yuexiang Xie, Yi Liu, Yaliang Li, Wei Hu
2025	—	`conf`	LLM-Based Multi-Agent Systems are Scalable Graph Generative Models. ACL (Findings) Jiarui Ji, Runlin Lei, Jialing Bi, Zhewei Wei, Xu Chen, Yankai Lin, Xuchen Pan, Yaliang Li, Bolin Ding
2025	A*	`conf`	Less is More: High-value Data Selection for Visual Instruction Tuning. ACM Multimedia Zikang Liu, Kun Zhou, Wayne Xin Zhao, Dawei Gao, Yaliang Li, Ji-Rong Wen
2025	J	`jnl`	Leveraging LLM-based agents for social science research: insights from citation network simulations. CoRR Jiarui Ji, Runlin Lei, Xuchen Pan, Zhewei Wei, Hao Sun, Yankai Lin, Xu Chen, Yongzheng Yang, Yaliang Li, Bolin Ding, Ji-Rong Wen
2025	J	`jnl`	MindGYM: Enhancing Vision-Language Models via Synthetic Self-Challenging Questions. CoRR Zhe Xu, Daoyuan Chen, Zhenqing Ling, Yaliang Li, Ying Shen
2025	J	`jnl`	On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic Weighting. CoRR Wenhao Zhang, Yuexiang Xie, Yuchang Sun, Yanxi Chen, Guoyin Wang, Yaliang Li, Bolin Ding, Jingren Zhou
2025	J	`jnl`	PAL-UI: Planning with Active Look-back for Vision-Based GUI Agents. CoRR Zikang Liu, Junyi Li, Wayne Xin Zhao, Dawei Gao, Yaliang Li, Ji-Rong Wen
2025	—	`conf`	Parameter-Efficient Federated Knowledge Graph Embedding Learning and Unlearning. ISWC (1) Xiangrong Zhu, Yuexiang Xie, Yang Liu, Yaliang Li, Wei Hu
2025	J	`jnl`	ReDiSC: A Reparameterized Masked Diffusion Model for Scalable Node Classification with Structured Predictions. CoRR Yule Li, Yifeng Lu, Zhen Wang, Zhewei Wei, Yaliang Li, Bolin Ding
2025	J	`jnl`	Respecting Temporal-Causal Consistency: Entity-Event Knowledge Graphs for Retrieval-Augmented Generation. CoRR Ze Yu Zhang, Zitao Li, Yaliang Li, Bolin Ding, Bryan Kian Hsiang Low
2025	A*	`conf`	Responsible Diffusion Models via Constraining Text Embeddings within Safe Regions. WWW Zhiwen Li, Die Chen, Mingyuan Fan, Cen Chen, Yaliang Li, Yanhao Wang, Wenmeng Zhou
2025	J	`jnl`	Responsible Diffusion Models via Constraining Text Embeddings within Safe Regions. CoRR Zhiwen Li, Die Chen, Mingyuan Fan, Cen Chen, Yaliang Li, Yanhao Wang, Wenmeng Zhou
2025	B	`conf`	SAMAG: Structure-Aware Multi-Agent Graph Generation with Large Language Models. IEEE Big Data Jingcheng Cen, Jiarui Ji, Zhen Wang, Zhewei Wei, Yaliang Li, Bolin Ding
2025	A*	`conf`	Safety Layers in Aligned Large Language Models: The Key to LLM Security. ICLR Shen Li, Liuyi Yao, Lan Zhang, Yaliang Li
2025	J	`jnl`	Security Tensors as a Cross-Modal Bridge: Extending Text-Aligned Safety to Vision in LVLM. CoRR Shen Li, Liuyi Yao, Wujia Niu, Lan Zhang, Yaliang Li
2025	J	`jnl`	Talk to Right Specialists: Routing and Planning in Multi-agent System for Question Answering. CoRR Feijie Wu, Zitao Li, Fei Wei, Yaliang Li, Bolin Ding, Jing Gao
2025	J	`jnl`	The Synergy Between Data and Multi-Modal Large Language Models: A Survey From Co-Development Perspective. IEEE Trans. Pattern Anal. Mach. Intell. Zhen Qin, Daoyuan Chen, Wenhao Zhang, Liuyi Yao, Yilun Huang, Bolin Ding, Yaliang Li, Shuiguang Deng
2025	J	`jnl`	Towards Anthropomorphic Conversational AI Part I: A Practical Framework. CoRR Fei Wei, Yaliang Li, Bolin Ding
2025	J	`jnl`	Tree-based Models for Vertical Federated Learning: A Survey. CoRR Bingchen Qian, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou
2025	J	`jnl`	Tree-based Models for Vertical Federated Learning: A Survey. ACM Comput. Surv. Bingchen Qian, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou
2025	J	`jnl`	Trinity-RFT: A General-Purpose and Unified Framework for Reinforcement Fine-Tuning of Large Language Models. CoRR Xuchen Pan, Yanxi Chen, Yushuo Chen, Yuchang Sun, Daoyuan Chen, Wenhao Zhang, Yuexiang Xie, Yilun Huang, Yilei Zhang, Dawei Gao, Yaliang Li, Bolin Ding, Jingren Zhou
2025	A*	`conf`	Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers. AAAI Xinyu Tang, Xiaolei Wang, Wayne Xin Zhao, Siyuan Lu, Yaliang Li, Ji-Rong Wen
2025	A*	`conf`	Unlocking the Power of Differentially Private Zeroth-order Optimization for Fine-tuning LLMs. USENIX Security Symposium Ergute Bao, Yangfan Jiang, Fei Wei, Xiaokui Xiao, Zitao Li, Yaliang Li, Bolin Ding
2025	J	`jnl`	VeriSciQA: An Auto-Verified Dataset for Scientific Visual Question Answering. CoRR Yuyi Li, Daoyuan Chen, Zhen Wang, Yutong Lu, Yaliang Li
2025	—	`conf`	ViFT: Towards Visual Instruction-Free Fine-tuning for Large Vision-Language Models. EMNLP (Findings) Zikang Liu, Kun Zhou, Wayne Xin Zhao, Dawei Gao, Yaliang Li, Ji-Rong Wen
2024	J	`jnl`	A Bargaining-based Approach for Feature Trading in Vertical Federated Learning. CoRR Yue Cui, Liuyi Yao, Zitao Li, Yaliang Li, Bolin Ding, Xiaofang Zhou
2024	J	`jnl`	A Simple and Provable Scaling Law for the Test-Time Compute of Large Language Models. CoRR Yanxi Chen, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou
2024	J	`jnl`	Agent-Oriented Planning in Multi-Agent Systems. CoRR Ao Li, Yuexiang Xie, Songze Li, Fugee Tsung, Bolin Ding, Yaliang Li
2024	J	`jnl`	AgentScope: A Flexible yet Robust Multi-Agent Platform. CoRR Dawei Gao, Zitao Li, Weirui Kuang, Xuchen Pan, Daoyuan Chen, Zhijian Ma, Bingchen Qian, Liuyi Yao, Lin Zhu, Chen Cheng, Hongzhu Shi, Yaliang Li, Bolin Ding, Jingren Zhou
2024	J	`jnl`	An Auction-based Marketplace for Model Trading in Federated Learning. CoRR Yue Cui, Liuyi Yao, Yaliang Li, Ziqian Chen, Bolin Ding, Xiaofang Zhou
2024	J	`jnl`	ArtAug: Enhancing Text-to-Image Generation through Synthesis-Understanding Interaction. CoRR Zhongjie Duan, Qianyi Zhao, Cen Chen, Daoyuan Chen, Wenmeng Zhou, Yaliang Li, Yingda Chen
2024	—	`conf`	ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization. LREC/COLING Mengsha Liu, Daoyuan Chen, Yaliang Li, Guian Fang, Ying Shen
2024	J	`jnl`	ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization. CoRR Mengsha Liu, Daoyuan Chen, Yaliang Li, Guian Fang, Ying Shen
2024	—	`conf`	DATA-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning. ACL (Findings) Yingqian Min, Kun Zhou, Dawei Gao, Xin Zhao, He Hu, Yaliang Li
2024	J	`jnl`	Data Mixing Made Efficient: A Bivariate Scaling Law for Language Model Pretraining. CoRR Ce Ge, Zhijian Ma, Daoyuan Chen, Yaliang Li, Bolin Ding
2024	J	`jnl`	Data-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning. CoRR Yingqian Min, Kun Zhou, Dawei Gao, Wayne Xin Zhao, He Hu, Yaliang Li
2024	J	`jnl`	Data-Juicer Sandbox: A Comprehensive Suite for Multimodal Data-Model Co-development. CoRR Daoyuan Chen, Haibin Wang, Yilun Huang, Ce Ge, Yaliang Li, Bolin Ding, Jingren Zhou
2024	—	`conf`	Data-Juicer: A One-Stop Data Processing System for Large Language Models. SIGMOD Conference Companion Daoyuan Chen, Yilun Huang, Zhijian Ma, Hesen Chen, Xuchen Pan, Ce Ge, Dawei Gao, Yuexiang Xie, Zhaoyang Liu, Jinyang Gao, Yaliang Li, Bolin Ding, Jingren Zhou
2024	—	`conf`	Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study. LREC/COLING Peiyu Liu, Zikang Liu, Ze-Feng Gao, Dawei Gao, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen
2024	J	`jnl`	Double-I Watermark: Protecting Model Copyright for LLM Fine-tuning. CoRR Shen Li, Liuyi Yao, Jinyang Gao, Lan Zhang, Yaliang Li
2024	A*	`conf`	Dynamic Demonstration Retrieval and Cognitive Understanding for Emotional Support Conversation. SIGIR Zhe Xu, Daoyuan Chen, Jiayi Kuang, Zihao Yi, Yaliang Li, Ying Shen
2024	J	`jnl`	Dynamic Demonstration Retrieval and Cognitive Understanding for Emotional Support Conversation. CoRR Zhe Xu, Daoyuan Chen, Jiayi Kuang, Zihao Yi, Yaliang Li, Ying Shen
2024	J	`jnl`	Dynamic and Textual Graph Generation Via Large-Scale LLM-based Agent Simulation. CoRR Jiarui Ji, Runlin Lei, Jialing Bi, Zhewei Wei, Yankai Lin, Xuchen Pan, Yaliang Li, Bolin Ding
2024	A*	`conf`	EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism. ICML Yanxi Chen, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou
2024	J	`jnl`	EE-Tuning: An Economical yet Scalable Solution for Tuning Early-Exit Large Language Models. CoRR Xuchen Pan, Yanxi Chen, Yaliang Li, Bolin Ding, Jingren Zhou
2024	J	`jnl`	EIUP: A Training-Free Approach to Erase Non-Compliant Concepts Conditioned on Implicit Unsafe Prompts. CoRR Die Chen, Zhiwen Li, Mingyuan Fan, Cen Chen, Wenmeng Zhou, Yaliang Li
2024	J	`jnl`	Enhancing Multimodal Large Language Models with Vision Detection Models: An Empirical Study. CoRR Qirui Jiao, Daoyuan Chen, Yilun Huang, Yaliang Li, Ying Shen
2024	J	`jnl`	ExVideo: Extending Video Diffusion Models via Parameter-Efficient Post-Tuning. CoRR Zhongjie Duan, Wenmeng Zhou, Cen Chen, Yaliang Li, Weining Qian
2024	A*	`conf`	Exploring Neural Scaling Law and Data Pruning Methods For Node Classification on Large-scale Graphs. WWW Zhen Wang, Yaliang Li, Bolin Ding, Yule Li, Zhewei Wei
2024	J	`jnl`	Exploring Selective Layer Fine-Tuning in Federated Learning. CoRR Yuchang Sun, Yuexiang Xie, Bolin Ding, Yaliang Li, Jun Zhang
2024	A*	`conf`	FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model. KDD Feijie Wu, Zitao Li, Yaliang Li, Bolin Ding, Jing Gao
2024	J	`jnl`	FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model. CoRR Feijie Wu, Zitao Li, Yaliang Li, Bolin Ding, Jing Gao
2024	J	`jnl`	Federated Fine-tuning of Large Language Models under Heterogeneous Language Tasks and Client Resources. CoRR Jiamu Bai, Daoyuan Chen, Bingchen Qian, Liuyi Yao, Yaliang Li
2024	A*	`conf`	Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources. NeurIPS Jiamu Bai, Daoyuan Chen, Bingchen Qian, Liuyi Yao, Yaliang Li
2024	A*	`conf`	Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes. ICML Zhen Qin, Daoyuan Chen, Bingchen Qian, Bolin Ding, Yaliang Li, Shuiguang Deng
2024	A	`conf`	Federated Heterogeneous Contrastive Distillation for Molecular Representation Learning. CIKM Jinjia Feng, Zhen Wang, Zhewei Wei, Yaliang Li, Bolin Ding, Hongteng Xu
2024	A*	`conf`	FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning. KDD Weirui Kuang, Bingchen Qian, Zitao Li, Daoyuan Chen, Dawei Gao, Xuchen Pan, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou
2024	J	`jnl`	GenSim: A General Social Simulation Platform with Large Language Model based Agents. CoRR Jiakai Tang, Heyang Gao, Xuchen Pan, Lei Wang, Haoran Tan, Dawei Gao, Yushuo Chen, Xu Chen, Yankai Lin, Yaliang Li, Bolin Ding, Jingren Zhou, Jun Wang, Ji-Rong Wen
2024	J	`jnl`	HumanVBench: Exploring Human-Centric Video Understanding Capabilities of MLLMs with Synthetic Benchmark Data. CoRR Ting Zhou, Daoyuan Chen, Qirui Jiao, Bolin Ding, Yaliang Li, Ying Shen
2024	J	`jnl`	Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models. CoRR Qirui Jiao, Daoyuan Chen, Yilun Huang, Yaliang Li, Ying Shen
2024	A*	`conf`	Improving LoRA in Privacy-preserving Federated Learning. ICLR Youbang Sun, Zitao Li, Yaliang Li, Bolin Ding
2024	J	`jnl`	Improving LoRA in Privacy-preserving Federated Learning. CoRR Youbang Sun, Zitao Li, Yaliang Li, Bolin Ding
2024	J	`jnl`	Is Sharing Neighbor Generator in Federated Graph Learning Safe? IEEE Trans. Knowl. Data Eng. Liuyi Yao, Zhen Wang, Yuexiang Xie, Yaliang Li, Weirui Kuang, Daoyuan Chen, Bolin Ding
2024	A	`conf`	LST2A: Lexical-Syntactic Targeted Adversarial Attack for Texts. CIKM Guanghao Zhou, Panjia Qiu, Mingyuan Fan, Cen Chen, Yaliang Li, Wenmeng Zhou
2024	J	`jnl`	Less is More: Data Value Estimation for Visual Instruction Tuning. CoRR Zikang Liu, Kun Zhou, Wayne Xin Zhao, Dawei Gao, Yaliang Li, Ji-Rong Wen
2024	A*	`conf`	Multi-modal Data Processing for Foundation Models: Practical Guidances and Use Cases. KDD Daoyuan Chen, Yaliang Li, Bolin Ding
2024	A*	`conf`	On the Convergence of Zeroth-Order Federated Tuning for Large Language Models. KDD Zhenqing Ling, Daoyuan Chen, Liuyi Yao, Yaliang Li, Ying Shen
2024	J	`jnl`	On the Convergence of Zeroth-Order Federated Tuning for Large Language Models. CoRR Zhenqing Ling, Daoyuan Chen, Liuyi Yao, Yaliang Li, Ying Shen
2024	J	`jnl`	On the Design and Analysis of LLM-Based Algorithms. CoRR Yanxi Chen, Yaliang Li, Bolin Ding, Jingren Zhou
2024	J	`jnl`	Performance-Based Pricing of Federated Learning via Auction. Proc. VLDB Endow. Zitao Li, Bolin Ding, Liuyi Yao, Yaliang Li, Xiaokui Xiao, Jingren Zhou
2024	J	`jnl`	Privacy-preserving Cross-domain Recommendation with Federated Graph Learning. ACM Trans. Inf. Syst. Changxin Tian, Yuexiang Xie, Xu Chen, Yaliang Li, Xin Zhao
2024	J	`jnl`	ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph. CoRR Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen
2024	J	`jnl`	Review of Data-centric Time Series Analysis from Sample, Feature, and Period. CoRR Chenxi Sun, Hongyan Li, Yaliang Li, Shenda Hong
2024	A	`conf`	SGFL-Attack: A Similarity-Guidance Strategy for Hard-Label Textual Adversarial Attack Based on Feedback Learning. CIKM Panjia Qiu, Guanghao Zhou, Mingyuan Fan, Cen Chen, Yaliang Li, Wenming Zhou
2024	J	`jnl`	Safety Layers of Aligned Large Language Models: The Key to LLM Security. CoRR Shen Li, Liuyi Yao, Lan Zhang, Yaliang Li
2024	A*	`conf`	TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series. ICLR Chenxi Sun, Hongyan Li, Yaliang Li, Shenda Hong
2024	J	`jnl`	Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation. Proc. VLDB Endow. Dawei Gao, Haibin Wang, Yaliang Li, Xiuyu Sun, Yichen Qian, Bolin Ding, Jingren Zhou
2024	J	`jnl`	The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective. CoRR Zhen Qin, Daoyuan Chen, Wenhao Zhang, Liuyi Yao, Yilun Huang, Bolin Ding, Yaliang Li, Shuiguang Deng
2024	A*	`conf`	Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness. NeurIPS Mingyuan Fan, Xiaodan Li, Cen Chen, Wenmeng Zhou, Yaliang Li
2024	J	`jnl`	Understanding Byzantine Robustness in Federated Learning with A Black-box Server. CoRR Fangyuan Zhao, Yuexiang Xie, Xuebin Ren, Bolin Ding, Shusen Yang, Yaliang Li
2024	J	`jnl`	Unleashing the Potential of Large Language Models as Prompt Optimizers: An Analogical Analysis with Gradient-based Model Optimizers. CoRR Xinyu Tang, Xiaolei Wang, Wayne Xin Zhao, Siyuan Lu, Yaliang Li, Ji-Rong Wen
2024	A*	`conf`	VertiMRF: Differentially Private Vertical Federated Data Synthesis. KDD Fangyuan Zhao, Zitao Li, Xuebin Ren, Bolin Ding, Shusen Yang, Yaliang Li
2024	J	`jnl`	VertiMRF: Differentially Private Vertical Federated Data Synthesis. CoRR Fangyuan Zhao, Zitao Li, Xuebin Ren, Bolin Ding, Shusen Yang, Yaliang Li
2024	J	`jnl`	Very Large-Scale Multi-Agent Simulation in AgentScope. CoRR Xuchen Pan, Dawei Gao, Yuexiang Xie, Zhewei Wei, Yaliang Li, Bolin Ding, Ji-Rong Wen, Jingren Zhou
2024	J	`jnl`	When Transformer Meets Large Graphs: An Expressive and Efficient Two-View Architecture. IEEE Trans. Knowl. Data Eng. Weirui Kuang, Zhen Wang, Zhewei Wei, Yaliang Li, Bolin Ding
2023	J	`jnl`	BASE: Bridging the Gap between Cost and Latency for Query Optimization. Proc. VLDB Endow. Xu Chen, Zhen Wang, Shuncheng Liu, Yaliang Li, Kai Zeng, Bolin Ding, Jingren Zhou, Han Su, Kai Zheng
2023	A*	`conf`	Communication Efficient and Differentially Private Logistic Regression under the Distributed Setting. KDD Ergute Bao, Dawei Gao, Xiaokui Xiao, Yaliang Li
2023	J	`jnl`	Concept-Level Model Interpretation From the Causal Aspect. IEEE Trans. Knowl. Data Eng. Liuyi Yao, Yaliang Li, Sheng Li, Jinduo Liu, Mengdi Huai, Aidong Zhang, Jing Gao
2023	J	`jnl`	Counterfactual Debiasing for Generating Factually Consistent Text Summaries. CoRR Chenhe Dong, Yuexiang Xie, Yaliang Li, Ying Shen
2023	J	`jnl`	Data-Juicer: A One-Stop Data Processing System for Large Language Models. CoRR Daoyuan Chen, Yilun Huang, Zhijian Ma, Hesen Chen, Xuchen Pan, Ce Ge, Dawei Gao, Yuexiang Xie, Zhaoyang Liu, Jinyang Gao, Yaliang Li, Bolin Ding, Jingren Zhou
2023	J	`jnl`	Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study. CoRR Peiyu Liu, Zikang Liu, Ze-Feng Gao, Dawei Gao, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen
2023	J	`jnl`	EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism. CoRR Yanxi Chen, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou
2023	A*	`conf`	Efficient Personalized Federated Learning via Sparse Model-Adaptation. ICML Daoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li
2023	J	`jnl`	Efficient Personalized Federated Learning via Sparse Model-Adaptation. CoRR Daoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li
2023	A*	`conf`	FS-REAL: Towards Real-World Cross-Device Federated Learning. KDD Daoyuan Chen, Dawei Gao, Yuexiang Xie, Xuchen Pan, Zitao Li, Yaliang Li, Bolin Ding, Jingren Zhou
2023	J	`jnl`	FS-Real: A Real-World Cross-Device Federated Learning Platform. Proc. VLDB Endow. Dawei Gao, Daoyuan Chen, Zitao Li, Yuexiang Xie, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou
2023	J	`jnl`	FS-Real: Towards Real-World Cross-Device Federated Learning. CoRR Daoyuan Chen, Dawei Gao, Yuexiang Xie, Xuchen Pan, Zitao Li, Yaliang Li, Bolin Ding, Jingren Zhou
2023	A*	`conf`	FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization. ICML Zhen Wang, Weirui Kuang, Ce Zhang, Bolin Ding, Yaliang Li
2023	J	`jnl`	Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes. CoRR Zhen Qin, Daoyuan Chen, Bingchen Qian, Bolin Ding, Yaliang Li, Shuiguang Deng
2023	J	`jnl`	FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning. CoRR Weirui Kuang, Bingchen Qian, Zitao Li, Daoyuan Chen, Dawei Gao, Xuchen Pan, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou
2023	J	`jnl`	FederatedScope: A Flexible Federated Learning Platform for Heterogeneity. Proc. VLDB Endow. Yuexiang Xie, Zhen Wang, Dawei Gao, Daoyuan Chen, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou
2023	J	`jnl`	HPN: Personalized Federated Hyperparameter Optimization. CoRR Anda Cheng, Zhen Wang, Yaliang Li, Jian Cheng
2023	J	`jnl`	Knowledge-Based Reasoning Network for Relation Detection. IEEE Trans. Neural Networks Learn. Syst. Ying Shen, Min Yang, Yaliang Li, Dong Wang, Hai-Tao Zheng, Daoyuan Chen
2023	J	`jnl`	LOKI: A Practical Data Poisoning Attack Framework Against Next Item Recommendations. IEEE Trans. Knowl. Data Eng. Hengtong Zhang, Yaliang Li, Bolin Ding, Jing Gao
2023	J	`jnl`	LON-GNN: Spectral GNNs with Learnable Orthonormal Basis. CoRR Qian Tao, Zhen Wang, Wenyuan Yu, Yaliang Li, Zhewei Wei
2023	A*	`conf`	Learned Index with Dynamic $\epsilon$. ICLR Daoyuan Chen, Wuchao Li, Yaliang Li, Bolin Ding, Kai Zeng, Defu Lian, Jingren Zhou
2023	J	`jnl`	Leveraging Long Short-Term User Preference in Conversational Recommendation via Multi-agent Reinforcement Learning. IEEE Trans. Knowl. Data Eng. Yang Deng, Yaliang Li, Bolin Ding, Wai Lam
2023	J	`jnl`	Multi-grained Hypergraph Interest Modeling for Conversational Recommendation. CoRR Chenzhan Shang, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Jing Zhang
2023	J	`jnl`	Multi-grained hypergraph interest modeling for conversational recommendation. AI Open Chenzhan Shang, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Jing Zhang
2023	A*	`conf`	Path-specific Causal Fair Prediction via Auxiliary Graph Structure Learning. WWW Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou, Jinduo Liu, Mengdi Huai, Jing Gao
2023	A*	`conf`	ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph. EMNLP Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen
2023	A*	`conf`	Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks. KDD Zeyu Qin, Liuyi Yao, Daoyuan Chen, Yaliang Li, Bolin Ding, Minhao Cheng
2023	J	`jnl`	Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks. CoRR Zeyu Qin, Liuyi Yao, Daoyuan Chen, Yaliang Li, Bolin Ding, Minhao Cheng
2023	Misc	`conf`	Source-Free Unsupervised Domain Adaptation for Question Answering. ICASSP Zishuo Zhao, Yuexiang Xie, Jingyou Xie, Zhenzhou Lin, Yaliang Li, Ying Shen
2023	J	`jnl`	TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series. CoRR Chenxi Sun, Yaliang Li, Hongyan Li, Shenda Hong
2023	J	`jnl`	Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation. CoRR Dawei Gao, Haibin Wang, Yaliang Li, Xiuyu Sun, Yichen Qian, Bolin Ding, Jingren Zhou
2023	—	`conf`	Tunable Soft Prompts are Messengers in Federated Learning. EMNLP (Findings) Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li
2023	J	`jnl`	Tunable Soft Prompts are Messengers in Federated Learning. CoRR Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li
2022	J	`jnl`	A Benchmark for Federated Hetero-Task Learning. CoRR Liuyi Yao, Dawei Gao, Zhen Wang, Yuexiang Xie, Weirui Kuang, Daoyuan Chen, Haohui Wang, Chenhe Dong, Bolin Ding, Yaliang Li
2022	A*	`conf`	A Practical Introduction to Federated Learning. KDD Yaliang Li, Bolin Ding, Jingren Zhou
2022	A	`conf`	A Unified Transferable Model for ML-Enhanced DBMS. CIDR Ziniu Wu, Pei Yu, Peilun Yang, Rong Zhu, Yuxing Han, Yaliang Li, Defu Lian, Kai Zeng, Jingren Zhou
2022	A*	`conf`	Alleviating Spurious Correlations in Knowledge-aware Recommendations through Counterfactual Generator. SIGIR Shanlei Mu, Yaliang Li, Wayne Xin Zhao, Jingyuan Wang, Bolin Ding, Ji-Rong Wen
2022	J	`jnl`	Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning. CoRR Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li
2022	J	`jnl`	Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge. ACM Trans. Inf. Syst. Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Wai Lam, Ying Shen
2022	A*	`conf`	EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks. NeurIPS Runlin Lei, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei
2022	J	`jnl`	EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks. CoRR Runlin Lei, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei
2022	A*	`conf`	Explainable Neural Rule Learning. WWW Shaoyun Shi, Yuexiang Xie, Zhen Wang, Bolin Ding, Yaliang Li, Min Zhang
2022	J	`jnl`	FedHPO-B: A Benchmark Suite for Federated Hyperparameter Optimization. CoRR Zhen Wang, Weirui Kuang, Ce Zhang, Bolin Ding, Yaliang Li
2022	A*	`conf`	FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning. KDD Zhen Wang, Weirui Kuang, Yuexiang Xie, Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou
2022	J	`jnl`	FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning. CoRR Zhen Wang, Weirui Kuang, Yuexiang Xie, Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou
2022	J	`jnl`	FederatedScope: A Comprehensive and Flexible Federated Learning Platform via Message Passing. CoRR Yuexiang Xie, Zhen Wang, Daoyuan Chen, Dawei Gao, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou
2022	A*	`conf`	Finding Meta Winning Ticket to Train Your MAML. KDD Dawei Gao, Yuexiang Xie, Zimu Zhou, Zhen Wang, Yaliang Li, Bolin Ding
2022	J	`jnl`	Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing. CoRR Chenghao Lyu, Qi Fan, Fei Song, Arnab Sinha, Yanlei Diao, Wei Chen, Li Ma, Yihui Feng, Yaliang Li, Kai Zeng, Jingren Zhou
2022	J	`jnl`	Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing. Proc. VLDB Endow. Chenghao Lyu, Qi Fan, Fei Song, Arnab Sinha, Yanlei Diao, Wei Chen, Li Ma, Yihui Feng, Yaliang Li, Kai Zeng, Jingren Zhou
2022	A*	`conf`	Graph Neural Networks with Node-wise Architecture. KDD Zhen Wang, Zhewei Wei, Yaliang Li, Weirui Kuang, Bolin Ding
2022	—	`conf`	ID-Agnostic User Behavior Pre-training for Sequential Recommendation. CCIR Shanlei Mu, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Bolin Ding
2022	J	`jnl`	ID-Agnostic User Behavior Pre-training for Sequential Recommendation. CoRR Shanlei Mu, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Bolin Ding
2022	J	`jnl`	Interpretable Aspect-Aware Capsule Network for Peer Review Based Citation Count Prediction. ACM Trans. Inf. Syst. Siqing Li, Yaliang Li, Wayne Xin Zhao, Bolin Ding, Ji-Rong Wen
2022	J	`jnl`	Knowledge-Guided Disentangled Representation Learning for Recommender Systems. ACM Trans. Inf. Syst. Shanlei Mu, Yaliang Li, Wayne Xin Zhao, Siqing Li, Ji-Rong Wen
2022	A*	`conf`	KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging Scenarios. WWW Yiqing Xie, Zhen Wang, Carl Yang, Yaliang Li, Bolin Ding, Hongbo Deng, Jiawei Han
2022	A*	`conf`	Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering. SIGIR Changxin Tian, Yuexiang Xie, Yaliang Li, Nan Yang, Wayne Xin Zhao
2022	A	`conf`	MGMAE: Molecular Representation Learning by Reconstructing Heterogeneous Graphs with A High Mask Ratio. CIKM Jinjia Feng, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei, Hongteng Xu
2022	A*	`conf`	Privacy-Preserved Neural Graph Similarity Learning. ICDM Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen
2022	J	`jnl`	Privacy-Preserved Neural Graph Similarity Learning. CoRR Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen
2022	J	`jnl`	Toward Personalized Answer Generation in E-Commerce via Multi-perspective Preference Modeling. ACM Trans. Inf. Syst. Yang Deng, Yaliang Li, Wenxuan Zhang, Bolin Ding, Wai Lam
2022	A*	`conf`	Towards Universal Sequence Representation Learning for Recommender Systems. KDD Yupeng Hou, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen
2022	J	`jnl`	Towards Universal Sequence Representation Learning for Recommender Systems. CoRR Yupeng Hou, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen
2022	A*	`conf`	iFlood: A Stable and Effective Regularizer. ICLR Yuexiang Xie, Zhen Wang, Yaliang Li, Ce Zhang, Jingren Zhou, Bolin Ding
2022	A*	`conf`	pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning. NeurIPS Daoyuan Chen, Dawei Gao, Weirui Kuang, Yaliang Li, Bolin Ding
2022	J	`jnl`	pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning. CoRR Daoyuan Chen, Dawei Gao, Weirui Kuang, Yaliang Li, Bolin Ding
2021	J	`jnl`	A Pluggable Learned Index Method via Sampling and Gap Insertion. CoRR Yaliang Li, Daoyuan Chen, Bolin Ding, Kai Zeng, Jingren Zhou
2021	J	`jnl`	A Survey on Causal Inference. ACM Trans. Knowl. Discov. Data Liuyi Yao, Zhixuan Chu, Sheng Li, Yaliang Li, Jing Gao, Aidong Zhang
2021	J	`jnl`	A Unified Transferable Model for ML-Enhanced DBMS. CoRR Ziniu Wu, Peilun Yang, Pei Yu, Rong Zhu, Yuxing Han, Yaliang Li, Defu Lian, Kai Zeng, Jingren Zhou
2021	A*	`conf`	AutoML: A Perspective where Industry Meets Academy. KDD Yaliang Li, Zhen Wang, Bolin Ding, Ce Zhang
2021	A	`conf`	AutoML: From Methodology to Application. CIKM Yaliang Li, Zhen Wang, Yuexiang Xie, Bolin Ding, Kai Zeng, Ce Zhang
2021	A*	`conf`	Automated Graph Learning via Population Based Self-Tuning GCN. SIGIR Ronghang Zhu, Zhiqiang Tao, Yaliang Li, Sheng Li
2021	J	`jnl`	Automated Graph Learning via Population Based Self-Tuning GCN. CoRR Ronghang Zhu, Zhiqiang Tao, Yaliang Li, Sheng Li
2021	—	`conf`	CRSLab: An Open-Source Toolkit for Building Conversational Recommender System. ACL (demo) Kun Zhou, Xiaolei Wang, Yuanhang Zhou, Chenzhan Shang, Yuan Cheng, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen
2021	J	`jnl`	CRSLab: An Open-Source Toolkit for Building Conversational Recommender System. CoRR Kun Zhou, Xiaolei Wang, Yuanhang Zhou, Chenzhan Shang, Yuan Cheng, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen
2021	J	`jnl`	Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge. CoRR Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Wai Lam, Ying Shen
2021	A*	`conf`	Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data. KDD Hengtong Zhang, Changxin Tian, Yaliang Li, Lu Su, Nan Yang, Wayne Xin Zhao, Jing Gao
2021	A*	`conf`	Debiasing Learning based Cross-domain Recommendation. KDD Siqing Li, Liuyi Yao, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Tonglei Guo, Bolin Ding, Ji-Rong Wen
2021	—	`conf`	Differential Privacy for Text Analytics via Natural Text Sanitization. ACL/IJCNLP (Findings) Xiang Yue, Minxin Du, Tianhao Wang, Yaliang Li, Huan Sun, Sherman S. M. Chow
2021	J	`jnl`	Differential Privacy for Text Analytics via Natural Text Sanitization. CoRR Xiang Yue, Minxin Du, Tianhao Wang, Yaliang Li, Huan Sun, Sherman S. M. Chow
2021	A	`conf`	EasyTransfer: A Simple and Scalable Deep Transfer Learning Platform for NLP Applications. CIKM Minghui Qiu, Peng Li, Chengyu Wang, Haojie Pan, Ang Wang, Cen Chen, Xianyan Jia, Yaliang Li, Jun Huang, Deng Cai, Wei Lin
2021	A*	`conf`	FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data. KDD Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou
2021	—	`conf`	Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation. EMNLP (Findings) Yuexiang Xie, Fei Sun, Yang Deng, Yaliang Li, Bolin Ding
2021	J	`jnl`	Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation. CoRR Yuexiang Xie, Fei Sun, Yang Deng, Yaliang Li, Bolin Ding
2021	—	`conf`	HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression. EMNLP (1) Chenhe Dong, Yaliang Li, Ying Shen, Minghui Qiu
2021	J	`jnl`	HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression. CoRR Chenhe Dong, Yaliang Li, Ying Shen, Minghui Qiu
2021	J	`jnl`	Learning to Augment for Data-Scarce Domain BERT Knowledge Distillation. CoRR Lingyun Feng, Minghui Qiu, Yaliang Li, Hai-Tao Zheng, Ying Shen
2021	A*	`conf`	Learning to Augment for Data-scarce Domain BERT Knowledge Distillation. AAAI Lingyun Feng, Minghui Qiu, Yaliang Li, Hai-Tao Zheng, Ying Shen
2021	—	`conf`	Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains. ACL/IJCNLP (1) Haojie Pan, Chengyu Wang, Minghui Qiu, Yichang Zhang, Yaliang Li, Jun Huang
2021	J	`jnl`	Modeling Relation Paths for Knowledge Graph Completion. IEEE Trans. Knowl. Data Eng. Ying Shen, Ning Ding, Hai-Tao Zheng, Yaliang Li, Min Yang
2021	—	`conf`	Profanity-Avoiding Training Framework for Seq2seq Models with Certified Robustness. EMNLP (1) Hengtong Zhang, Tianhang Zheng, Yaliang Li, Jing Gao, Lu Su, Bo Li
2021	—	`conf`	RAST: A Reward Augmented Model for Fine-Grained Sentiment Transfer. NLPCC (1) Xiaoxuan Hu, Hengtong Zhang, Wayne Xin Zhao, Yaliang Li, Jing Gao, Ji-Rong Wen
2021	A	`conf`	RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms. CIKM Wayne Xin Zhao, Shanlei Mu, Yupeng Hou, Zihan Lin, Yushuo Chen, Xingyu Pan, Kaiyuan Li, Yujie Lu, Hui Wang, Changxin Tian, Yingqian Min, Zhichao Feng, Xinyan Fan, Xu Chen, Pengfei Wang, Wendi Ji, Yaliang Li, Xiaoling Wang, Ji-Rong Wen
2021	A	`conf`	SCI: Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation. CIKM Liuyi Yao, Yaliang Li, Sheng Li, Mengdi Huai, Jing Gao, Aidong Zhang
2021	J	`jnl`	Towards Personalized Answer Generation in E-Commerce via Multi-Perspective Preference Modeling. CoRR Yang Deng, Yaliang Li, Wenxuan Zhang, Bolin Ding, Wai Lam
2021	A*	`conf`	Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning. SIGIR Yang Deng, Yaliang Li, Fei Sun, Bolin Ding, Wai Lam
2021	J	`jnl`	Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning. CoRR Yang Deng, Yaliang Li, Fei Sun, Bolin Ding, Wai Lam
2021	J	`jnl`	VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition. CoRR Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Bolin Ding, Yaliang Li, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui
2021	J	`jnl`	VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition. Proc. VLDB Endow. Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Yaliang Li, Bolin Ding, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui
2021	—	`conf`	Wasserstein Selective Transfer Learning for Cross-domain Text Mining. EMNLP (1) Lingyun Feng, Minghui Qiu, Yaliang Li, Haitao Zheng, Ying Shen
2020	J	`jnl`	A Survey on Causal Inference. CoRR Liuyi Yao, Zhixuan Chu, Sheng Li, Yaliang Li, Jing Gao, Aidong Zhang
2020	A*	`conf`	AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. IJCAI Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou
2020	J	`jnl`	AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. CoRR Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou
2020	A	`conf`	An Adaptive Embedding Framework for Heterogeneous Information Networks. CIKM Daoyuan Chen, Yaliang Li, Bolin Ding, Ying Shen
2020	A*	`conf`	Attentive User-Engaged Adversarial Neural Network for Community Question Answering. AAAI Yuexiang Xie, Ying Shen, Yaliang Li, Min Yang, Kai Lei
2020	A*	`conf`	Automated Relational Meta-learning. ICLR Huaxiu Yao, Xian Wu, Zhiqiang Tao, Yaliang Li, Bolin Ding, Ruirui Li, Zhenhui Li
2020	J	`jnl`	Automated Relational Meta-learning. CoRR Huaxiu Yao, Xian Wu, Zhiqiang Tao, Yaliang Li, Bolin Ding, Ruirui Li, Zhenhui Li
2020	A*	`conf`	Bridging Hierarchical and Sequential Context Modeling for Question-driven Extractive Answer Summarization. SIGIR Yang Deng, Wenxuan Zhang, Yaliang Li, Min Yang, Wai Lam, Ying Shen
2020	A*	`conf`	Causal Inference Meets Machine Learning. KDD Peng Cui, Zheyan Shen, Sheng Li, Liuyi Yao, Yaliang Li, Zhixuan Chu, Jing Gao
2020	J	`jnl`	EasyTransfer - A Simple and Scalable Deep Transfer Learning Platform for NLP Applications. CoRR Minghui Qiu, Peng Li, Hanjie Pan, Chengyu Wang, Ang Wang, Cen Chen, Yaliang Li, Dehong Gao, Jun Huang, Yong Li, Jun Yang, Deng Cai, Wei Lin
2020	A*	`conf`	Entity Synonym Discovery via Multipiece Bilateral Context Matching. IJCAI Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu
2020	J	`jnl`	Extracting Medical Knowledge from Crowdsourced Question Answering Website. IEEE Trans. Big Data Yaliang Li, Chaochun Liu, Nan Du, Wei Fan, Qi Li, Jing Gao, Chenwei Zhang, Hao Wu
2020	J	`jnl`	Interactive Feature Generation via Learning Adjacency Tensor of Feature Graph. CoRR Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou
2020	A*	`conf`	Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering. AAAI Yang Deng, Wai Lam, Yuexiang Xie, Daoyuan Chen, Yaliang Li, Min Yang, Ying Shen
2020	J	`jnl`	Learning Distance Metrics from Probabilistic Information. ACM Trans. Knowl. Discov. Data Mengdi Huai, Chenglin Miao, Yaliang Li, Qiuling Suo, Lu Su, Aidong Zhang
2020	A*	`conf`	Learning to Mutate with Hypergradient Guided Population. NeurIPS Zhiqiang Tao, Yaliang Li, Bolin Ding, Ce Zhang, Jingren Zhou, Yun Fu
2020	J	`jnl`	Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains. CoRR Haojie Pan, Chengyu Wang, Minghui Qiu, Yichang Zhang, Yaliang Li, Jun Huang
2020	A*	`conf`	On the Generation of Medical Question-Answer Pairs. AAAI Sheng Shen, Yaliang Li, Nan Du, Xian Wu, Yusheng Xie, Shen Ge, Tao Yang, Kai Wang, Xingzheng Liang, Wei Fan
2020	A*	`conf`	Practical Data Poisoning Attack against Next-Item Recommendation. WWW Hengtong Zhang, Yaliang Li, Bolin Ding, Jing Gao
2020	J	`jnl`	Practical Data Poisoning Attack against Next-Item Recommendation. CoRR Hengtong Zhang, Yaliang Li, Bolin Ding, Jing Gao
2020	J	`jnl`	RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms. CoRR Wayne Xin Zhao, Shanlei Mu, Yupeng Hou, Zihan Lin, Kaiyuan Li, Yushuo Chen, Yujie Lu, Hui Wang, Changxin Tian, Xingyu Pan, Yingqian Min, Zhichao Feng, Xinyan Fan, Xu Chen, Pengfei Wang, Wendi Ji, Yaliang Li, Xiaoling Wang, Ji-Rong Wen
2020	A*	`conf`	Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents. ACL Daoyuan Chen, Yaliang Li, Kai Lei, Ying Shen
2020	J	`jnl`	Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents. CoRR Daoyuan Chen, Yaliang Li, Kai Lei, Ying Shen
2020	A*	`conf`	Scalable Graph Neural Networks via Bidirectional Propagation. NeurIPS Ming Chen, Zhewei Wei, Bolin Ding, Yaliang Li, Ye Yuan, Xiaoyong Du, Ji-Rong Wen
2020	J	`jnl`	Scalable Graph Neural Networks via Bidirectional Propagation. CoRR Ming Chen, Zhewei Wei, Bolin Ding, Yaliang Li, Ye Yuan, Xiaoyong Du, Ji-Rong Wen
2020	A*	`conf`	Sequential Recommendation with Self-Attentive Multi-Adversarial Network. SIGIR Ruiyang Ren, Zhaoyang Liu, Yaliang Li, Wayne Xin Zhao, Hui Wang, Bolin Ding, Ji-Rong Wen
2020	J	`jnl`	Sequential Recommendation with Self-Attentive Multi-Adversarial Network. CoRR Ruiyang Ren, Zhaoyang Liu, Yaliang Li, Wayne Xin Zhao, Hui Wang, Bolin Ding, Ji-Rong Wen
2020	A*	`conf`	Simple and Deep Graph Convolutional Networks. ICML Ming Chen, Zhewei Wei, Zengfeng Huang, Bolin Ding, Yaliang Li
2020	J	`jnl`	Simple and Deep Graph Convolutional Networks. CoRR Ming Chen, Zhewei Wei, Zengfeng Huang, Bolin Ding, Yaliang Li
2020	A	`conf`	Towards Differentially Private Truth Discovery for Crowd Sensing Systems. ICDCS Yaliang Li, Houping Xiao, Zhan Qin, Chenglin Miao, Lu Su, Jing Gao, Kui Ren, Bolin Ding
2019	A*	`conf`	A Minimax Game for Instance based Selective Transfer Learning. KDD Bo Wang, Minghui Qiu, Xisen Wang, Yaliang Li, Yu Gong, Xiaoyi Zeng, Jun Huang, Bo Zheng, Deng Cai, Jingren Zhou
2019	A*	`conf`	ACE: Adaptively Similarity-Preserved Representation Learning for Individual Treatment Effect Estimation. ICDM Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang
2019	A*	`conf`	Answer-enhanced Path-aware Relation Detection over Knowledge Base. SIGIR Daoyuan Chen, Min Yang, Hai-Tao Zheng, Yaliang Li, Ying Shen
2019	A	`conf`	DTEC: Distance Transformation Based Early Time Series Classification. SDM Liuyi Yao, Yaliang Li, YeZheng Li, Hengtong Zhang, Mengdi Huai, Jing Gao, Aidong Zhang
2019	A*	`conf`	Data Poisoning Attack against Knowledge Graph Embedding. IJCAI Hengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao, Lu Su, Yaliang Li, Kui Ren
2019	A	`conf`	Deep Skip-Gram Networks for Text Classification. SDM Chaochun Liu, Yaliang Li, Hongliang Fei, Ping Li
2019	J	`jnl`	Enhancing ontology-driven diagnostic reasoning with a symptom-dependency-aware Naïve Bayes classifier. BMC Bioinform. Ying Shen, Yaliang Li, Hai-Tao Zheng, Buzhou Tang, Min Yang
2019	J	`jnl`	Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering. CoRR Yang Deng, Wai Lam, Yuexiang Xie, Daoyuan Chen, Yaliang Li, Min Yang, Ying Shen
2019	—	`conf`	Joint Slot Filling and Intent Detection via Capsule Neural Networks. ACL (1) Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu
2019	J	`jnl`	KMR: knowledge-oriented medicine representation learning for drug-drug interaction and similarity computation. J. Cheminformatics Ying Shen, Kaiqi Yuan, Min Yang, Buzhou Tang, Yaliang Li, Nan Du, Kai Lei
2019	A	`conf`	Knowledge-aware Textual Entailment with Graph Attention Network. CIKM Daoyuan Chen, Yaliang Li, Min Yang, Hai-Tao Zheng, Ying Shen
2019	A*	`conf`	MCVAE: Margin-based Conditional Variational Autoencoder for Relation Classification and Pattern Generation. WWW Fenglong Ma, Yaliang Li, Chenwei Zhang, Jing Gao, Nan Du, Wei Fan
2019	A	`conf`	MedTruth: A Semi-supervised Approach to Discovering Knowledge Condition Information from Multi-Source Medical Data. CIKM Yang Deng, Yaliang Li, Ying Shen, Nan Du, Wei Fan, Min Yang, Kai Lei
2019	J	`jnl`	Multi-Grained Named Entity Recognition. CoRR Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma, Philip S. Yu
2019	A*	`conf`	Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering. AAAI Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Nan Du, Wei Fan, Kai Lei, Ying Shen
2019	—	`conf`	Multi-grained Named Entity Recognition. ACL (1) Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma, Philip S. Yu
2019	A*	`conf`	On the Estimation of Treatment Effect with Text Covariates. IJCAI Liuyi Yao, Sheng Li, Yaliang Li, Hongfei Xue, Jing Gao, Aidong Zhang
2019	A	`conf`	Path-based Attribute-aware Representation Learning for Relation Prediction. SDM Ying Shen, Desi Wen, Yaliang Li, Nan Du, Haitao Zheng, Min Yang
2019	J	`jnl`	Privacy-Preserving Truth Discovery in Crowd Sensing Systems. ACM Trans. Sens. Networks Chenglin Miao, Wenjun Jiang, Lu Su, Yaliang Li, Suxin Guo, Zhan Qin, Houping Xiao, Jing Gao, Kui Ren
2019	J	`jnl`	SynonymNet: Multi-context Bilateral Matching for Entity Synonyms. CoRR Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu
2019	J	`jnl`	Towards Data Poisoning Attack against Knowledge Graph Embedding. CoRR Hengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao, Lu Su, Yaliang Li, Kui Ren
2018	A*	`conf`	An Efficient Two-Layer Mechanism for Privacy-Preserving Truth Discovery. KDD Yaliang Li, Chenglin Miao, Lu Su, Jing Gao, Qi Li, Bolin Ding, Zhan Qin, Kui Ren
2018	J	`jnl`	An ontology-driven clinical decision support system (IDDAP) for infectious disease diagnosis and antibiotic prescription. Artif. Intell. Medicine Ying Shen, Kaiqi Yuan, Daoyuan Chen, Joël Colloc, Min Yang, Yaliang Li, Kai Lei
2018	J	`jnl`	CBN: Constructing a clinical Bayesian network based on data from the electronic medical record. J. Biomed. Informatics Ying Shen, Lizhu Zhang, Jin Zhang, Min Yang, Buzhou Tang, Yaliang Li, Kai Lei
2018	B	`conf`	Cooperative Denoising for Distantly Supervised Relation Extraction. COLING Kai Lei, Daoyuan Chen, Yaliang Li, Nan Du, Min Yang, Wei Fan, Ying Shen
2018	—	`conf`	Drug2Vec: Knowledge-aware Feature-driven Method for Drug Representation Learning. BIBM Ying Shen, Kaiqi Yuan, Yaliang Li, Buzhou Tang, Min Yang, Nan Du, Kai Lei
2018	J	`jnl`	Finding Similar Medical Questions from Question Answering Websites. CoRR Yaliang Li, Liuyi Yao, Nan Du, Jing Gao, Qi Li, Chuishi Meng, Chenwei Zhang, Wei Fan
2018	J	`jnl`	Gastroenterology Ontology Construction Using Synonym Identification and Relation Extraction. IEEE Access Ying Shen, Yaliang Li, Yang Deng, Jin Zhang, Min Yang, Jinsong Chen, Shangchun Si, Kai Lei
2018	—	`conf`	IDDAT: An Ontology-Driven Decision Support System for Infectious Disease Diagnosis and Therapy. ICDM Workshops Ying Shen, Yang Deng, Jin Zhang, Yaliang Li, Nan Du, Wei Fan, Min Yang, Kai Lei
2018	J	`jnl`	Joint Slot Filling and Intent Detection via Capsule Neural Networks. CoRR Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu
2018	B	`conf`	Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge. COLING Yang Deng, Ying Shen, Min Yang, Yaliang Li, Nan Du, Wei Fan, Kai Lei
2018	A*	`conf`	Knowledge-aware Attentive Neural Network for Ranking Question Answer Pairs. SIGIR Ying Shen, Yang Deng, Min Yang, Yaliang Li, Nan Du, Wei Fan, Kai Lei
2018	B	`conf`	Leveraging the Power of Informative Users for Local Event Detection. ASONAM Hengtong Zhang, Fenglong Ma, Yaliang Li, Chao Zhang, Tianqi Wang, Yaqing Wang, Jing Gao, Lu Su
2018	A*	`conf`	Metric Learning from Probabilistic Labels. KDD Mengdi Huai, Chenglin Miao, Yaliang Li, Qiuling Suo, Lu Su, Aidong Zhang
2018	J	`jnl`	Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering. CoRR Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Nan Du, Wei Fan, Kai Lei, Ying Shen
2018	J	`jnl`	On the Generation of Medical Question-Answer Pairs. CoRR Sheng Shen, Yaliang Li, Nan Du, Xian Wu, Yusheng Xie, Shen Ge, Tao Yang, Kai Wang, Xingzheng Liang, Wei Fan
2018	A*	`conf`	On the Generative Discovery of Structured Medical Knowledge. KDD Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu
2018	A	`conf`	Online Truth Discovery on Time Series Data. SDM Liuyi Yao, Lu Su, Qi Li, Yaliang Li, Fenglong Ma, Jing Gao, Aidong Zhang
2018	A*	`conf`	Ontology Evaluation with Path-based Text-aware Entropy Computation. SIGIR Ying Shen, Daoyuan Chen, Min Yang, Yaliang Li, Nan Du, Kai Lei
2018	A*	`conf`	Representation Learning for Treatment Effect Estimation from Observational Data. NeurIPS Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang
2018	A*	`conf`	TextTruth: An Unsupervised Approach to Discover Trustworthy Information from Multi-Sourced Text Data. KDD Hengtong Zhang, Yaliang Li, Fenglong Ma, Jing Gao, Lu Su
2018	J	`jnl`	Towards Differentially Private Truth Discovery for Crowd Sensing Systems. CoRR Yaliang Li, Houping Xiao, Zhan Qin, Chenglin Miao, Lu Su, Jing Gao, Kui Ren, Bolin Ding
2018	A	`conf`	Uncorrelated Patient Similarity Learning. SDM Mengdi Huai, Chenglin Miao, Qiuling Suo, Yaliang Li, Jing Gao, Aidong Zhang
2018	J	`jnl`	When Truth Discovery Meets Medical Knowledge Graph: Estimating Trustworthiness Degree for Medical Knowledge Condition. CoRR Yang Deng, Yaliang Li, Nan Du, Wei Fan, Ying Shen, Kai Lei
2017	A*	`conf`	A Correlated Topic Model Using Word Embeddings. IJCAI Guangxu Xun, Yaliang Li, Wayne Xin Zhao, Jing Gao, Aidong Zhang
2017	J	`jnl`	A Weighted Crowdsourcing Approach for Network Quality Measurement in Cellular Data Networks. IEEE Trans. Mob. Comput. Yaliang Li, Jing Gao, Patrick P. C. Lee, Lu Su, Caifeng He, Cheng He, Fan Yang, Wei Fan
2017	A*	`conf`	A lightweight privacy-preserving truth discovery framework for mobile crowd sensing systems. INFOCOM Chenglin Miao, Lu Su, Wenjun Jiang, Yaliang Li, Miaomiao Tian
2017	J	`jnl`	Bringing Semantic Structures to User Intent Detection in Online Medical Queries. CoRR Chenwei Zhang, Nan Du, Wei Fan, Yaliang Li, Chun-Ta Lu, Philip S. Yu
2017	—	`conf`	Bringing semantic structures to user intent detection in online medical queries. IEEE BigData Chenwei Zhang, Nan Du, Wei Fan, Yaliang Li, Chun-Ta Lu, Philip S. Yu
2017	A*	`conf`	Collaboratively Improving Topic Discovery and Word Embeddings by Coordinating Global and Local Contexts. KDD Guangxu Xun, Yaliang Li, Jing Gao, Aidong Zhang
2017	A*	`conf`	Generating Medical Hypotheses Based on Evolutionary Medical Concepts. ICDM Guangxu Xun, Kishlay Jha, Vishrawas Gopalakrishnan, Yaliang Li, Aidong Zhang
2017	A	`conf`	Reliable Medical Diagnosis from Crowdsourcing: Discover Trustworthy Answers from Non-Experts. WSDM Yaliang Li, Nan Du, Chaochun Liu, Yusheng Xie, Wei Fan, Qi Li, Jing Gao, Huan Sun
2016	A*	`conf`	Augmented LSTM Framework to Construct Medical Self-Diagnosis Android. ICDM Chaochun Liu, Huan Sun, Nan Du, Shulong Tan, Hongliang Fei, Wei Fan, Tao Yang, Hao Wu, Yaliang Li, Chenwei Zhang
2016	J	`jnl`	Conflicts to Harmony: A Framework for Resolving Conflicts in Heterogeneous Data by Truth Discovery. IEEE Trans. Knowl. Data Eng. Yaliang Li, Qi Li, Jing Gao, Lu Su, Bo Zhao, Wei Fan, Jiawei Han
2016	A	`conf`	Influence-Aware Truth Discovery. CIKM Hengtong Zhang, Qi Li, Fenglong Ma, Houping Xiao, Yaliang Li, Jing Gao, Lu Su
2016	A	`conf`	Multi-View Time Series Classification: A Discriminative Bilinear Projection Approach. CIKM Sheng Li, Yaliang Li, Yun Fu
2016	A	`conf`	Multi-source Hierarchical Prediction Consolidation. CIKM Chenwei Zhang, Sihong Xie, Yaliang Li, Jing Gao, Wei Fan, Philip S. Yu
2016	J	`jnl`	Multi-source Hierarchical Prediction Consolidation. CoRR Chenwei Zhang, Sihong Xie, Yaliang Li, Jing Gao, Wei Fan, Philip S. Yu
2016	A*	`conf`	Topic Discovery for Short Texts Using Word Embeddings. ICDM Guangxu Xun, Vishrawas Gopalakrishnan, Fenglong Ma, Yaliang Li, Jing Gao, Aidong Zhang
2015	J	`jnl`	A Survey on Truth Discovery. CoRR Yaliang Li, Jing Gao, Chuishi Meng, Qi Li, Lu Su, Bo Zhao, Wei Fan, Jiawei Han
2015	J	`jnl`	A Survey on Truth Discovery. SIGKDD Explor. Yaliang Li, Jing Gao, Chuishi Meng, Qi Li, Lu Su, Bo Zhao, Wei Fan, Jiawei Han
2015	A	`conf`	Believe It Today or Tomorrow? Detecting Untrustworthy Information from Dynamic Multi-Source Data. SDM Houping Xiao, Yaliang Li, Jing Gao, Fei Wang, Liang Ge, Wei Fan, Long H. Vu, Deepak S. Turaga
2015	Misc	`conf`	Cloud-Enabled Privacy-Preserving Truth Discovery in Crowd Sensing Systems. SenSys Chenglin Miao, Wenjun Jiang, Lu Su, Yaliang Li, Suxin Guo, Zhan Qin, Houping Xiao, Jing Gao, Kui Ren
2015	A*	`conf`	FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation. KDD Fenglong Ma, Yaliang Li, Qi Li, Minghui Qiu, Jing Gao, Shi Zhi, Lu Su, Bo Zhao, Heng Ji, Jiawei Han
2015	A*	`conf`	On the Discovery of Evolving Truth. KDD Yaliang Li, Qi Li, Jing Gao, Lu Su, Bo Zhao, Wei Fan, Jiawei Han
2015	Misc	`conf`	Truth Discovery on Crowd Sensing of Correlated Entities. SenSys Chuishi Meng, Wenjun Jiang, Yaliang Li, Jing Gao, Lu Su, Hu Ding, Yun Cheng
2014	J	`jnl`	A Confidence-Aware Approach for Truth Discovery on Long-Tail Data. Proc. VLDB Endow. Qi Li, Yaliang Li, Jing Gao, Lu Su, Bo Zhao, Murat Demirbas, Wei Fan, Jiawei Han
2014	A*	`conf`	Crowdsourcing for Multiple-Choice Question Answering. AAAI Bahadir Ismail Aydin, Yavuz Selim Yilmaz, Yaliang Li, Qi Li, Jing Gao, Murat Demirbas
2014	—	`ch.`	Ensemble Learning. Data Classification: Algorithms and Applications Yaliang Li, Jing Gao, Qi Li, Wei Fan
2014	—	`conf`	Resolving conflicts in heterogeneous data by truth discovery and source reliability estimation. SIGMOD Conference Qi Li, Yaliang Li, Jing Gao, Bo Zhao, Wei Fan, Jiawei Han
2012	—	`conf`	Query-Oriented Keyphrase Extraction. AIRS Minghui Qiu, Yaliang Li, Jing Jiang
2011	B	`conf`	Extracting Relation Descriptors with Conditional Random Fields. IJCNLP Yaliang Li, Jing Jiang, Hai Leong Chieu, Kian Ming Adam Chai