Weiran Xu - RankMe

226 papers A* 15A 3B 15C 3Misc 7Journal 83Unranked 100

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Entropy-Adaptive Fine-Tuning: Resolving Confident Conflicts to Mitigate Forgetting. CoRR Muxi Diao, Lele Yang, Wuxuan Gong, Yutong Zhang, Zhonghao Yan, Yufei Han, Kongming Liang, Weiran Xu, Zhanyu Ma
2026	J	`jnl`	SelfCorrect-Agent: Toward robust and generalizable LLM-based agents. Neurocomputing Keqing He, Dayuan Fu, Lele Yang, Weiran Xu, Chao Wang
2025	A*	`conf`	AgentRefine: Enhancing Agent Generalization through Refinement Tuning. ICLR Dayuan Fu, Keqing He, Yejie Wang, Wentao Hong, Zhuoma Gongque, Weihao Zeng, Wei Wang, Jingang Wang, Xunliang Cai, Weiran Xu
2025	J	`jnl`	AgentRefine: Enhancing Agent Generalization through Refinement Tuning. CoRR Dayuan Fu, Keqing He, Yejie Wang, Wentao Hong, Zhuoma Gongque, Weihao Zeng, Wei Wang, Jingang Wang, Xunliang Cai, Weiran Xu
2025	A*	`conf`	Assessing and Post-Processing Black Box Large Language Models for Knowledge Editing. WWW Xiaoshuai Song, Zhengyang Wang, Keqing He, Guanting Dong, Yutao Mou, Jinxu Zhao, Weiran Xu
2025	—	`conf`	Bidirectional Multi-Hop Expansion Challenges in Knowledge Editing for Large Language Models. CSAI Zhengyang Wang, Haoxu Wang, Chao Wang, Weiran Xu
2025	J	`jnl`	BountyBench: Dollar Impact of AI Agent Attackers and Defenders on Real-World Cybersecurity Systems. CoRR Andy K. Zhang, Joey Ji, Celeste Menders, Riya Dulepet, Thomas Qin, Ron Y. Wang, Junrong Wu, Kyleen Liao, Jiliang Li, Jinghan Hu, Sara Hong, Nardos Demilew, Shivatmica Murgai, Jason Tran, Nishka Kacheria, Ethan Ho, Denis Liu, Lauren McLane, Olivia Bruvik, Dai-Rong Han, Seungwoo Kim, Akhil Vyas, Cuiyuanxiu Chen, Ryan Li, Weiran Xu, Jonathan Z. Ye, Prerit Choudhary, Siddharth M. Bhatia, Vikram Sivashankar, Yuxuan Bao, Dawn Song, Dan Boneh, Daniel E. Ho, Percy Liang
2025	A*	`conf`	CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery. ICLR Xiaoshuai Song, Muxi Diao, Guanting Dong, Zhengyang Wang, Yujia Fu, Runqi Qiao, Zhexu Wang, Dayuan Fu, Huangxuan Wu, Bin Liang, Weihao Zeng, Yejie Wang, Zhuoma Gongque, Jianing Yu, Qiuna Tan, Weiran Xu
2025	J	`jnl`	Evaluating the efficacy of large language models in cardio-oncology patient education: a comparative analysis of accuracy, readability, and prompt engineering strategies. Frontiers Artif. Intell. Zhao Wang, Lin Liang, Hao Xu, Yuhui Huang, Chen He, Weiran Xu, Haojie Zhu
2025	J	`jnl`	Face-Human-Bench: A Comprehensive Benchmark of Face and Human Understanding for Multi-modal Assistants. CoRR Lixiong Qin, Shilong Ou, Miaoxuan Zhang, Jiangning Wei, Yuhang Zhang, Xiaoshuai Song, Yuchen Liu, Mei Wang, Weiran Xu
2025	J	`jnl`	Fake-in-Facext: Towards Fine-Grained Explainable DeepFake Analysis. CoRR Lixiong Qin, Yang Zhang, Mei Wang, Jiani Hu, Weihong Deng, Weiran Xu
2025	J	`jnl`	FuseMind: Fusing reflection and prediction elevates agent's reasoning capabilities. Neurocomputing Xiufa Ma, XinXin Ge, Heyang Xu, Dayuan Fu, Zhexu Wang, Yuchen Liu, Keqing He, Weiran Xu
2025	—	`conf`	HFT: Half Fine-Tuning for Large Language Models. ACL (1) Tingfeng Hui, Zhenyu Zhang, Shuohuan Wang, Weiran Xu, Yu Sun, Hua Wu
2025	J	`jnl`	OJBench: A Competition Level Code Benchmark For Large Language Models. CoRR Zhexu Wang, Yiping Liu, Yejie Wang, Wenyang He, Bofei Gao, Muxi Diao, Yanxu Chen, Kelin Fu, Flood Sung, Zhilin Yang, Tianyu Liu, Weiran Xu
2025	B	`conf`	PreAct: Prediction Enhances Agent's Planning Ability. COLING Dayuan Fu, Jianzhao Huang, Siyuan Lu, Guanting Dong, Yejie Wang, Keqing He, Weiran Xu
2025	J	`jnl`	ReCAP: Recursive Context-Aware Reasoning and Planning for Large Language Model Agents. CoRR Zhenyu Zhang, Tianyi Chen, Weiran Xu, Alex Pentland, Jiaxin Pei
2025	A*	`conf`	SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models. AAAI Muxi Diao, Rumei Li, Shiyang Liu, Guogang Liao, Jingang Wang, Xunliang Cai, Weiran Xu
2025	J	`jnl`	Self-Supervised Learning for Neural Topic Models with Variance-Invariance-Covariance Regularization. CoRR Weiran Xu, Kengo Hirami, Koji Eguchi
2025	J	`jnl`	Self-supervised learning for neural topic models with variance-invariance-covariance regularization. Knowl. Inf. Syst. Weiran Xu, Kengo Hirami, Koji Eguchi
2025	J	`jnl`	Towards robust and generalizable training: An empirical study of noisy slot filling for input perturbations. Neurocomputing Guanting Dong, Xiaoshuai Song, Jiachi Liu, Liwen Wang, Zhengyang Wang, Zechen Wang, Shanglin Lei, Keqing He, Bo Xiao, Weiran Xu
2024	—	`conf`	Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection. LREC/COLING Pei Wang, Keqing He, Yejie Wang, Xiaoshuai Song, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
2024	J	`jnl`	Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection. CoRR Pei Wang, Keqing He, Yejie Wang, Xiaoshuai Song, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
2024	—	`conf`	BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning Diverse Responses. LREC/COLING Weihao Zeng, Keqing He, Yejie Wang, Dayuan Fu, Weiran Xu
2024	J	`jnl`	BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning Diverse Responses. CoRR Weihao Zeng, Keqing He, Yejie Wang, Dayuan Fu, Weiran Xu
2024	J	`jnl`	CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery. CoRR Xiaoshuai Song, Muxi Diao, Guanting Dong, Zhengyang Wang, Yujia Fu, Runqi Qiao, Zhexu Wang, Dayuan Fu, Huangxuan Wu, Bin Liang, Weihao Zeng, Yejie Wang, Zhuoma Gongque, Jianing Yu, Qiuna Tan, Weiran Xu
2024	J	`jnl`	CoSKT: A Collaborative Self-Supervised Learning Method for Knowledge Tracing. IEEE Trans. Learn. Technol. Chunyun Zhang, Hebo Ma, Chaoran Cui, Yumo Yao, Weiran Xu, Yunfeng Zhang, Yuling Ma
2024	—	`conf`	DivTOD: Unleashing the Power of LLMs for Diversifying Task-Oriented Dialogue Representations. NAACL-HLT (Findings) Weihao Zeng, Dayuan Fu, Keqing He, Yejie Wang, Yukai Xu, Weiran Xu
2024	J	`jnl`	DivTOD: Unleashing the Power of LLMs for Diversifying Task-Oriented Dialogue Representations. CoRR Weihao Zeng, Dayuan Fu, Keqing He, Yejie Wang, Yukai Xu, Weiran Xu
2024	—	`conf`	DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning. ACL (1) Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Weiran Xu, Jingang Wang, Mengdi Zhang, Xunliang Cai
2024	J	`jnl`	DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning. CoRR Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Yutao Mou, Mengdi Zhang, Jingang Wang, Xunliang Cai, Weiran Xu
2024	—	`conf`	Faceptor: A Generalist Model for Face Perception. ECCV (34) Lixiong Qin, Mei Wang, Xuannan Liu, Yuhang Zhang, Wei Deng, Xiaoshuai Song, Weiran Xu, Weihong Deng
2024	J	`jnl`	Faceptor: A Generalist Model for Face Perception. CoRR Lixiong Qin, Mei Wang, Xuannan Liu, Yuhang Zhang, Wei Deng, Xiaoshuai Song, Weiran Xu, Weihong Deng
2024	J	`jnl`	HFT: Half Fine-Tuning for Large Language Models. CoRR Tingfeng Hui, Zhenyu Zhang, Shuohuan Wang, Weiran Xu, Yu Sun, Hua Wu
2024	J	`jnl`	How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data. CoRR Yejie Wang, Keqing He, Dayuan Fu, Zhuoma Gongque, Heyang Xu, Yanxu Chen, Zhexu Wang, Yujia Fu, Guanting Dong, Muxi Diao, Jingang Wang, Mengdi Zhang, Xunliang Cai, Weiran Xu
2024	A*	`conf`	How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data. EMNLP Yejie Wang, Keqing He, Dayuan Fu, Zhuoma Gongque, Heyang Xu, Yanxu Chen, Zhexu Wang, Yujia Fu, Guanting Dong, Muxi Diao, Jingang Wang, Mengdi Zhang, Xunliang Cai, Weiran Xu
2024	J	`jnl`	Knowledge Editing on Black-box Large Language Models. CoRR Xiaoshuai Song, Zhengyang Wang, Keqing He, Guanting Dong, Yutao Mou, Jinxu Zhao, Weiran Xu
2024	J	`jnl`	Multi-Perspective Consistency Enhances Confidence Estimation in Large Language Models. CoRR Pei Wang, Yejie Wang, Muxi Diao, Keqing He, Guanting Dong, Weiran Xu
2024	Misc	`conf`	Noise-BERT: A Unified Perturbation-Robust Framework with Noise Alignment Pre-Training for Noisy Slot Filling Task. ICASSP Jinxu Zhao, Guanting Dong, Yueyan Qiu, Tingfeng Hui, Xiaoshuai Song, Daichi Guo, Weiran Xu
2024	J	`jnl`	Noise-BERT: A Unified Perturbation-Robust Framework with Noise Alignment Pre-training for Noisy Slot Filling Task. CoRR Jinxu Zhao, Guanting Dong, Yueyan Qiu, Tingfeng Hui, Xiaoshuai Song, Daichi Guo, Weiran Xu
2024	J	`jnl`	PreAct: Predicting Future in ReAct Enhances Agent's Planning Ability. CoRR Dayuan Fu, Jianzhao Huang, Siyuan Lu, Guanting Dong, Yejie Wang, Keqing He, Weiran Xu
2024	J	`jnl`	SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models. CoRR Muxi Diao, Rumei Li, Shiyang Liu, Guogang Liao, Jingang Wang, Xunliang Cai, Weiran Xu
2024	—	`conf`	UEGP: Unified Expert-Guided Pre-training for Knowledge Rekindle. NAACL-HLT (Findings) Yutao Mou, Kexiang Wang, Jianhe Lin, Dehong Ma, Jun Fan, Daiting Shi, Zhicong Cheng, Simiu Gu, Dawei Yin, Weiran Xu
2023	A	`conf`	A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER. CIKM Guanting Dong, Zechen Wang, Jinxu Zhao, Gang Zhao, Daichi Guo, Dayuan Fu, Tingfeng Hui, Chen Zeng, Keqing He, Xuefeng Li, Liwen Wang, Xinyue Cui, Weiran Xu
2023	J	`jnl`	A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER. CoRR Guanting Dong, Zechen Wang, Jinxu Zhao, Gang Zhao, Daichi Guo, Dayuan Fu, Tingfeng Hui, Chen Zeng, Keqing He, Xuefeng Li, Liwen Wang, Xinyue Cui, Weiran Xu
2023	Misc	`conf`	A Prototypical Semantic Decoupling Method via Joint Contrastive Learning for Few-Shot Named Entity Recognition. ICASSP Guanting Dong, Zechen Wang, Liwen Wang, Daichi Guo, Dayuan Fu, Yuxiang Wu, Chen Zeng, Xuefeng Li, Tingfeng Hui, Keqing He, Xinyue Cui, Qixiang Gao, Weiran Xu
2023	—	`conf`	APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection. EMNLP (Findings) Pei Wang, Keqing He, Yutao Mou, Xiaoshuai Song, Yanan Wu, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
2023	J	`jnl`	APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection. CoRR Pei Wang, Keqing He, Yutao Mou, Xiaoshuai Song, Yanan Wu, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
2023	A	`conf`	Bridging the KB-Text Gap: Leveraging Structured Knowledge-aware Pre-training for KBQA. CIKM Guanting Dong, Rumei Li, Sirui Wang, Yupeng Zhang, Yunsen Xian, Weiran Xu
2023	J	`jnl`	Bridging the KB-Text Gap: Leveraging Structured Knowledge-aware Pre-training for KBQA. CoRR Guanting Dong, Rumei Li, Sirui Wang, Yupeng Zhang, Yunsen Xian, Weiran Xu
2023	—	`conf`	Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition. EMNLP (Findings) Xiaoshuai Song, Yutao Mou, Keqing He, Yueyan Qiu, Jinxu Zhao, Pei Wang, Weiran Xu
2023	J	`jnl`	Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition. CoRR Xiaoshuai Song, Yutao Mou, Keqing He, Yueyan Qiu, Pei Wang, Weiran Xu
2023	—	`conf`	Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery. ACL (1) Yutao Mou, Xiaoshuai Song, Keqing He, Chen Zeng, Pei Wang, Jingang Wang, Yunsen Xian, Weiran Xu
2023	J	`jnl`	Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery. CoRR Yutao Mou, Xiaoshuai Song, Keqing He, Chen Zeng, Pei Wang, Jingang Wang, Yunsen Xian, Weiran Xu
2023	—	`conf`	DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task. EMNLP (Findings) Guanting Dong, Tingfeng Hui, Zhuoma Gongque, Jinxu Zhao, Daichi Guo, Gang Zhao, Keqing He, Weiran Xu
2023	J	`jnl`	DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task. CoRR Guanting Dong, Tingfeng Hui, Zhuoma Gongque, Jinxu Zhao, Daichi Guo, Gang Zhao, Keqing He, Weiran Xu
2023	—	`conf`	FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue. ACL (1) Weihao Zeng, Keqing He, Yejie Wang, Chen Zeng, Jingang Wang, Yunsen Xian, Weiran Xu
2023	J	`jnl`	FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue. CoRR Weihao Zeng, Keqing He, Yejie Wang, Chen Zeng, Jingang Wang, Yunsen Xian, Weiran Xu
2023	—	`conf`	Generative Zero-Shot Prompt Learning for Cross-Domain Slot Filling with Inverse Prompting. ACL (Findings) Xuefeng Li, Liwen Wang, Guanting Dong, Keqing He, Jinzheng Zhao, Hao Lei, Jiachi Liu, Weiran Xu
2023	J	`jnl`	Generative Zero-Shot Prompt Learning for Cross-Domain Slot Filling with Inverse Prompting. CoRR Xuefeng Li, Liwen Wang, Guanting Dong, Keqing He, Jinzheng Zhao, Hao Lei, Jiachi Liu, Weiran Xu
2023	A*	`conf`	Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT. EMNLP Xiaoshuai Song, Keqing He, Pei Wang, Guanting Dong, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
2023	J	`jnl`	Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT. CoRR Xiaoshuai Song, Keqing He, Pei Wang, Guanting Dong, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
2023	—	`conf`	Revisit Input Perturbation Problems for LLMs: A Unified Robustness Evaluation Framework for Noisy Slot Filling Task. NLPCC (1) Guanting Dong, Jinxu Zhao, Tingfeng Hui, Daichi Guo, Wenlong Wang, Boqi Feng, Yueyan Qiu, Zhuoma Gongque, Keqing He, Zechen Wang, Weiran Xu
2023	J	`jnl`	Revisit Input Perturbation Problems for LLMs: A Unified Robustness Evaluation Framework for Noisy Slot Filling Task. CoRR Guanting Dong, Jinxu Zhao, Tingfeng Hui, Daichi Guo, Wenlong Wang, Boqi Feng, Yueyan Qiu, Zhuoma Gongque, Keqing He, Zechen Wang, Weiran Xu
2023	Misc	`conf`	Revisit Out-Of-Vocabulary Problem For Slot Filling: A Unified Contrastive Framework With Multi-Level Data Augmentations. ICASSP Daichi Guo, Guanting Dong, Dayuan Fu, Yuxiang Wu, Chen Zeng, Tingfeng Hui, Liwen Wang, Xuefeng Li, Zechen Wang, Keqing He, Xinyue Cui, Weiran Xu
2023	J	`jnl`	Revisit Out-Of-Vocabulary Problem for Slot Filling: A Unified Contrastive Frameword with Multi-level Data Augmentations. CoRR Daichi Guo, Guanting Dong, Dayuan Fu, Yuxiang Wu, Chen Zeng, Tingfeng Hui, Liwen Wang, Xuefeng Li, Zechen Wang, Keqing He, Xinyue Cui, Weiran Xu
2023	—	`conf`	Seen to Unseen: Exploring Compositional Generalization of Multi-Attribute Controllable Dialogue Generation. ACL (1) Weihao Zeng, Lulu Zhao, Keqing He, Ruotong Geng, Jingang Wang, Wei Wu, Weiran Xu
2023	J	`jnl`	Seen to Unseen: Exploring Compositional Generalization of Multi-Attribute Controllable Dialogue Generation. CoRR Weihao Zeng, Lulu Zhao, Keqing He, Ruotong Geng, Jingang Wang, Wei Wu, Weiran Xu
2023	—	`conf`	Semantic Parsing by Large Language Models for Intricate Updating Strategies of Zero-Shot Dialogue State Tracking. EMNLP (Findings) Yuxiang Wu, Guanting Dong, Weiran Xu
2023	J	`jnl`	Semantic Parsing by Large Language Models for Intricate Updating Strategies of Zero-Shot Dialogue State Tracking. CoRR Yuxiang Wu, Guanting Dong, Weiran Xu
2023	J	`jnl`	Towards Robust and Generalizable Training: An Empirical Study of Noisy Slot Filling for Input Perturbations. CoRR Jiachi Liu, Liwen Wang, Guanting Dong, Xiaoshuai Song, Zechen Wang, Zhengyang Wang, Shanglin Lei, Jinzheng Zhao, Keqing He, Bo Xiao, Weiran Xu
2023	—	`conf`	Value type: the bridge to a better DST model. ACL (Findings) Qixiang Gao, Mingyang Sun, Yutao Mou, Chen Zeng, Weiran Xu
2022	J	`jnl`	A Robust Contrastive Alignment Method For Multi-Domain Text Classification. CoRR Xuefeng Li, Hao Lei, Liwen Wang, Guanting Dong, Jinzheng Zhao, Jiachi Liu, Weiran Xu, Chunyun Zhang
2022	Misc	`conf`	A Robust Contrastive Alignment Method for Multi-Domain Text Classification. ICASSP Xuefeng Li, Hao Lei, Liwen Wang, Guanting Dong, Jinzheng Zhao, Jiachi Liu, Weiran Xu, Chunyun Zhang
2022	A*	`conf`	ADPL: Adversarial Prompt-based Domain Adaptation for Dialogue Summarization with Knowledge Disentanglement. SIGIR Lulu Zhao, Fujia Zheng, Weihao Zeng, Keqing He, Ruotong Geng, Huixing Jiang, Wei Wu, Weiran Xu
2022	—	`conf`	Disentangled Knowledge Transfer for OOD Intent Discovery with Unified Contrastive Learning. ACL (2) Yutao Mou, Keqing He, Yanan Wu, Zhiyuan Zeng, Hong Xu, Huixing Jiang, Wei Wu, Weiran Xu
2022	J	`jnl`	Disentangling Confidence Score Distribution for Out-of-Domain Intent Detection with Energy-Based Learning. CoRR Yanan Wu, Zhiyuan Zeng, Keqing He, Yutao Mou, Pei Wang, Yuanmeng Yan, Weiran Xu
2022	B	`conf`	Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation. COLING Yanan Wu, Zhiyuan Zeng, Keqing He, Yutao Mou, Pei Wang, Weiran Xu
2022	J	`jnl`	Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation. CoRR Yanan Wu, Zhiyuan Zeng, Keqing He, Yutao Mou, Pei Wang, Weiran Xu
2022	—	`conf`	Domain-Oriented Prefix-Tuning: Towards Efficient and Generalizable Fine-tuning for Zero-Shot Dialogue Summarization. NAACL-HLT Lulu Zhao, Fujia Zheng, Weihao Zeng, Keqing He, Weiran Xu, Huixing Jiang, Wei Wu, Yanan Wu
2022	J	`jnl`	Domain-Oriented Prefix-Tuning: Towards Efficient and Generalizable Fine-tuning for Zero-Shot Dialogue Summarization. CoRR Lulu Zhao, Fujia Zheng, Weihao Zeng, Keqing He, Weiran Xu, Huixing Jiang, Wei Wu, Yanan Wu
2022	—	`conf`	Entity-level Interaction via Heterogeneous Graph for Multimodal Named Entity Recognition. EMNLP (Findings) Gang Zhao, Guanting Dong, Yidong Shi, Haolong Yan, Weiran Xu, Si Li
2022	A*	`conf`	Exploiting domain-slot related keywords description for Few-Shot Cross-Domain Dialogue State Tracking. EMNLP Qixiang Gao, Guanting Dong, Yutao Mou, Liwen Wang, Chen Zeng, Daichi Guo, Mingyang Sun, Weiran Xu
2022	B	`conf`	Generalized Intent Discovery: Learning from Open World Dialogue System. COLING Yutao Mou, Keqing He, Yanan Wu, Pei Wang, Jingang Wang, Wei Wu, Yi Huang, Junlan Feng, Weiran Xu
2022	J	`jnl`	Generalized Intent Discovery: Learning from Open World Dialogue System. CoRR Yutao Mou, Keqing He, Yanan Wu, Pei Wang, Jingang Wang, Wei Wu, Yi Huang, Junlan Feng, Weiran Xu
2022	J	`jnl`	InstructionNER: A Multi-Task Instruction-Based Generative Framework for Few-shot NER. CoRR Liwen Wang, Rumei Li, Yang Yan, Yuanmeng Yan, Sirui Wang, Wei Wu, Weiran Xu
2022	J	`jnl`	Leveraging speaker-aware structure and factual knowledge for faithful dialogue summarization. Knowl. Based Syst. Lulu Zhao, Weiran Xu, Chunyun Zhang, Jun Guo
2022	B	`conf`	PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling. COLING Guanting Dong, Daichi Guo, Liwen Wang, Xuefeng Li, Zechen Wang, Chen Zeng, Keqing He, Jinzheng Zhao, Hao Lei, Xinyue Cui, Yi Huang, Junlan Feng, Weiran Xu
2022	J	`jnl`	PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling. CoRR Guanting Dong, Daichi Guo, Liwen Wang, Xuefeng Li, Zechen Wang, Chen Zeng, Keqing He, Jinzheng Zhao, Hao Lei, Xinyue Cui, Yi Huang, Junlan Feng, Weiran Xu
2022	—	`conf`	Revisit Overconfidence for OOD Detection: Reassigned Contrastive Learning with Adaptive Class-dependent Threshold. NAACL-HLT Yanan Wu, Keqing He, Yuanmeng Yan, Qixiang Gao, Zhiyuan Zeng, Fujia Zheng, Lulu Zhao, Huixing Jiang, Wei Wu, Weiran Xu
2022	J	`jnl`	Semi-Supervised Knowledge-Grounded Pre-training for Task-Oriented Dialog Systems. CoRR Weihao Zeng, Keqing He, Zechen Wang, Dayuan Fu, Guanting Dong, Ruotong Geng, Pei Wang, Jingang Wang, Chaobo Sun, Wei Wu, Weiran Xu
2022	A*	`conf`	UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning. EMNLP Yutao Mou, Pei Wang, Keqing He, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu
2022	J	`jnl`	UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning. CoRR Yutao Mou, Pei Wang, Keqing He, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu
2022	A*	`conf`	Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery. EMNLP Yutao Mou, Keqing He, Pei Wang, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu
2022	J	`jnl`	Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery. CoRR Yutao Mou, Keqing He, Pei Wang, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu
2021	—	`conf`	A Finer-grain Universal Dialogue Semantic Structures based Model For Abstractive Dialogue Summarization. EMNLP (Findings) Yuejie Lei, Fujia Zheng, Yuanmeng Yan, Keqing He, Weiran Xu
2021	Misc	`conf`	Adversarial Generative Distance-Based Classifier for Robust Out-of-Domain Detection. ICASSP Zhiyuan Zeng, Hong Xu, Keqing He, Yuanmeng Yan, Sihong Liu, Zijun Liu, Weiran Xu
2021	—	`conf`	Adversarial Self-Supervised Learning for Out-of-Domain Detection. NAACL-HLT Zhiyuan Zeng, Keqing He, Yuanmeng Yan, Hong Xu, Weiran Xu
2021	—	`conf`	Bridge to Target Domain by Prototypical Contrastive Learning and Label Confusion: Re-explore Zero-Shot Learning for Slot Filling. EMNLP (1) Liwen Wang, Xuefeng Li, Jiachi Liu, Keqing He, Yuanmeng Yan, Weiran Xu
2021	J	`jnl`	Bridge to Target Domain by Prototypical Contrastive Learning and Label Confusion: Re-explore Zero-Shot Learning for Slot Filling. CoRR Liwen Wang, Xuefeng Li, Jiachi Liu, Keqing He, Yuanmeng Yan, Weiran Xu
2021	—	`conf`	ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer. ACL/IJCNLP (1) Yuanmeng Yan, Rumei Li, Sirui Wang, Fuzheng Zhang, Wei Wu, Weiran Xu
2021	J	`jnl`	ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer. CoRR Yuanmeng Yan, Rumei Li, Sirui Wang, Fuzheng Zhang, Wei Wu, Weiran Xu
2021	—	`conf`	Dynamically Disentangling Social Bias from Task-Oriented Representations with Adversarial Attack. NAACL-HLT Liwen Wang, Yuanmeng Yan, Keqing He, Yanan Wu, Weiran Xu
2021	J	`jnl`	From context-aware to knowledge-aware: Boosting OOV tokens recognition in slot tagging with background knowledge. Neurocomputing Keqing He, Yuanmeng Yan, Weiran Xu
2021	—	`conf`	Give the Truth: Incorporate Semantic Slot into Abstractive Dialogue Summarization. EMNLP (Findings) Lulu Zhao, Weihao Zeng, Weiran Xu, Jun Guo
2021	—	`conf`	Gradient-Based Adversarial Factual Consistency Evaluation for Abstractive Summarization. EMNLP (1) Zhiyuan Zeng, Jiaze Chen, Weiran Xu, Lei Li
2021	Misc	`conf`	Hierarchical Speaker-Aware Sequence-to-Sequence Model for Dialogue Summarization. ICASSP Yuejie Lei, Yuanmeng Yan, Zhiyuan Zeng, Keqing He, Ximing Zhang, Weiran Xu
2021	—	`conf`	Large-Scale Relation Learning for Question Answering over Knowledge Bases with Pre-trained Language Models. EMNLP (1) Yuanmeng Yan, Rumei Li, Sirui Wang, Hongzhi Zhang, Daoguang Zan, Fuzheng Zhang, Wei Wu, Weiran Xu
2021	—	`conf`	Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning. ACL/IJCNLP (2) Zhiyuan Zeng, Keqing He, Yuanmeng Yan, Zijun Liu, Yanan Wu, Hong Xu, Huixing Jiang, Weiran Xu
2021	J	`jnl`	Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning. CoRR Zhiyuan Zeng, Keqing He, Yuanmeng Yan, Zijun Liu, Yanan Wu, Hong Xu, Huixing Jiang, Weiran Xu
2021	—	`conf`	Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System. ACL/IJCNLP (1) Yanan Wu, Zhiyuan Zeng, Keqing He, Hong Xu, Yuanmeng Yan, Huixing Jiang, Weiran Xu
2021	J	`jnl`	Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System. CoRR Yanan Wu, Zhiyuan Zeng, Keqing He, Hong Xu, Yuanmeng Yan, Huixing Jiang, Weiran Xu
2021	—	`conf`	Scheduled Dialog Policy Learning: An Automatic Curriculum Learning Framework for Task-oriented Dialog System. ACL/IJCNLP (Findings) Sihong Liu, Jinchao Zhang, Keqing He, Weiran Xu, Jie Zhou
2021	B	`conf`	Self-training with Masked Supervised Contrastive Loss for Unknown Intents Detection. IJCNN Zijun Liu, Yuanmeng Yan, Keqing He, Sihong Liu, Hong Xu, Weiran Xu
2021	J	`jnl`	TODSum: Task-Oriented Dialogue Summarization with State Tracking. CoRR Lulu Zhao, Fujia Zheng, Keqing He, Weihao Zeng, Yuejie Lei, Huixing Jiang, Wei Wu, Weiran Xu, Jun Guo, Fanyu Meng
2021	J	`jnl`	Utilizing graph neural networks to improving dialogue-based relation extraction. Neurocomputing Lulu Zhao, Weiran Xu, Sheng Gao, Jun Guo
2020	B	`conf`	A Deep Generative Distance-Based Classifier for Out-of-Domain Detection with Mahalanobis Space. COLING Hong Xu, Keqing He, Yuanmeng Yan, Sihong Liu, Zijun Liu, Weiran Xu
2020	B	`conf`	Adversarial Cross-Lingual Transfer Learning for Slot Tagging of Low-Resource Languages. IJCNN Keqing He, Yuanmeng Yan, Weiran Xu
2020	—	`conf`	Adversarial Semantic Decoupling for Recognizing Open-Vocabulary Slots. EMNLP (1) Yuanmeng Yan, Keqing He, Hong Xu, Sihong Liu, Fanyu Meng, Min Hu, Weiran Xu
2020	A	`conf`	CGTR: Convolution Graph Topology Representation for Document Ranking. CIKM Yuanyuan Qi, Jiayue Zhang, Yansong Liu, Weiran Xu, Jun Guo
2020	B	`conf`	Contrastive Zero-Shot Learning for Cross-Domain Slot Filling with Adversarial Attack. COLING Keqing He, Jinchao Zhang, Yuanmeng Yan, Weiran Xu, Cheng Niu, Jie Zhou
2020	J	`jnl`	Cross-sentence N-ary relation classification using LSTMs on graph and sequence structures. Knowl. Based Syst. Lulu Zhao, Weiran Xu, Sheng Gao, Jun Guo
2020	Misc	`conf`	Gated Attentive Convolutional Network Dialogue State Tracker. ICASSP Sihong Liu, Songyan Liu, Weiran Xu
2020	A*	`conf`	Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs. AAAI Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, William Yang Wang
2020	J	`jnl`	Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs. CoRR Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, William Yang Wang
2020	B	`conf`	Improving Abstractive Dialogue Summarization with Graph Structures and Topic Words. COLING Lulu Zhao, Weiran Xu, Jun Guo
2020	C	`conf`	Learning Graph Topology Representation with Attention Networks. VCIP Yuanyuan Qi, Jiayue Zhang, Weiran Xu, Jun Guo, Honggang Zhang
2020	B	`conf`	Learning Label-Relational Output Structure for Adaptive Sequence Labeling. IJCNN Keqing He, Yuanmeng Yan, Hong Xu, Sihong Liu, Zijun Liu, Weiran Xu
2020	A*	`conf`	Learning to Tag OOV Tokens by Integrating Contextual Representation and Background Knowledge. ACL Keqing He, Yuanmeng Yan, Weiran Xu
2020	J	`jnl`	Multi-Level Cross-Lingual Transfer Learning With Language Shared and Specific Knowledge for Spoken Language Understanding. IEEE Access Keqing He, Weiran Xu, Yuanmeng Yan
2020	J	`jnl`	Multi-task learning for abstractive text summarization with key information guide network. EURASIP J. Adv. Signal Process. Weiran Xu, Chenliang Li, Minghao Lee, Chi Zhang
2020	J	`jnl`	Quantitative Long-Term Monitoring of the Circulating Gases in the KATRIN Experiment Using Raman Spectroscopy. Sensors Max Aker, Konrad Altenmüller, Armen Beglarian, Jan Behrens, Anatoly Berlev, Uwe Besserer, Benedikt Bieringer, Klaus Blaum, Fabian Block, Beate Bornschein, Lutz Bornschein, Matthias Böttcher, Tim Brunst, Thomas C. Caldwell, Suren Chilingaryan, Wonqook Choi, Deseada D. Díaz Barrero, Karol Debowski, Marco Deffert, Martin Descher, Peter J. Doe, Otokar Dragoun, Guido Drexlin, Stephan Dyba, Frank Edzards, Klaus Eitel, Enrico Ellinger, Ralph Engel, Sanshiro Enomoto, Mariia Fedkevych, Arne Felden, Joseph F. Formaggio, Florian Fränkle, Gregg B. Franklin, Fabian Friedel, Alexander Fulst, Kevin Gauda, Woosik Gil, Ferenc Glück, Robin Größle, Rainer Gumbsheimer, Volker Hannen, Norman Haußmann, Klaus Helbing, Stephanie Hickford, Roman Hiller, David Hillesheimer, Dominic Hinz, Thomas Höhn, Thibaut Houdy, Anton Huber, Alexander Jansen, Christian Karl, Jonas Kellerer, Luke Kippenbrock, Manuel Klein, Christoph Köhler, Leonard Köllenberger, Andreas Kopmann, Marc Korzeczek, Alojz Kovalík, Bennet Krasch, Holger Krause, Luisa La Cascio, Thierry Lasserre, Thanh-Long Le, Ondrej Lebeda, Bjoern Lehnert, Alexey Lokhov, Moritz Machatschek, Emma Malcherek, Alexander Marsteller, Eric L. Martin, Matthias Meier, Christin Melzer, Susanne Mertens, Klaus Müller, Simon Niemes, Patrick Oelpmann, Alexander Osipowicz, Diana S. Parno, Alan W. P. Poon, Jose M. Lopez Poyato, Florian Priester, Oliver Rest, Marco Röllig, Carsten Röttele, R. G. Hamish Robertson, Caroline Rodenbeck, Milos Rysavy, Rudolf Sack, Alejandro Saenz, Peter Schäfer, Anna Schaller (née Pollithy), Lutz Schimpf, Klaus Schlösser, Magnus Schlösser, Lisa Schlüter, Michael Schrank, Bruno Schulz, Michal Sefcík, Hendrik Seitz-Moskaliuk, Valérian Sibille, Daniel Siegmann, Martin Slezák, Felix Spanier, Markus Steidl, Michael Sturm, Menglei Sun, Helmut H. Telle, Larisa A. Thorne, Thomas Thümmler, Nikita Titov, Igor Tkachev, Drahos Vénos, Kathrin Valerius, Ana P. Vizcaya Hernández, Marc Weber, Christian Weinheimer, Christiane Weiss, Stefan Welte, Jürgen Wendel, John F. Wilkerson, Joachim Wolf, Sascha Wüstling, Weiran Xu, Yung-Ruey Yen, Sergey Zadoroghny, Genrich Zeller
2020	J	`jnl`	Salient context-based semantic matching for information retrieval. EURASIP J. Adv. Signal Process. Yuanyuan Qi, Jiayue Zhang, Weiran Xu, Jun Guo
2020	—	`conf`	Unsupervised Bilingual Sentiment Word Embeddings for Cross-lingual Sentiment Classification. ICIAI Chunyu Ma, Weiran Xu
2019	C	`conf`	Finding Salient Context based on Semantic Matching for Relevance Ranking. VCIP Yuanyuan Qi, Jiayue Zhang, Weiran Xu, Jun Guo, Yan Li
2019	J	`jnl`	Finding Salient Context based on Semantic Matching for Relevance Ranking. CoRR Yuanyuan Qi, Jiayue Zhang, Weiran Xu, Jun Guo
2019	J	`jnl`	Generating Emotional Controllable Response Based on Multi-Task and Dual Attention Framework. IEEE Access Weiran Xu, Xiusen Gu, Guang Chen
2019	J	`jnl`	Multi-Gram CNN-Based Self-Attention Model for Relation Classification. IEEE Access Chunyun Zhang, Chaoran Cui, Sheng Gao, Xiushan Nie, Weiran Xu, Lu Yang, Xiaoming Xi, Yilong Yin
2019	—	`conf`	Neural Emotional Response Generation via Adversarial Transfer Learning. ICIAI Xiusen Gu, Weiran Xu, Chao Zhang
2019	—	`conf`	Towards Automated Emotional Conversation Generation with Implicit and Explicit Affective Strategy. SSPS Xiusen Gu, Weiran Xu, Si Li
2018	—	`conf`	DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction. ACL (1) Pengda Qin, Weiran Xu, William Yang Wang
2018	J	`jnl`	DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction. CoRR Pengda Qin, Weiran Xu, William Yang Wang
2018	—	`conf`	Guiding Generation for Abstractive Text Summarization Based on Key Information Guide Network. NAACL-HLT (2) Chenliang Li, Weiran Xu, Si Li, Sheng Gao
2018	—	`conf`	Prior Knowledge Integrated with Self-attention for Event Detection. CCIR Yan Li, Chenliang Li, Weiran Xu, Junliang Li
2018	—	`conf`	Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning. ACL (1) Pengda Qin, Weiran Xu, William Yang Wang
2018	J	`jnl`	Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning. CoRR Pengda Qin, Weiran Xu, William Yang Wang
2017	—	`conf`	A Targeted Retraining Scheme of Unsupervised Word Embeddings for Specific Supervised Tasks. PAKDD (2) Pengda Qin, Weiran Xu, Jun Guo
2017	J	`jnl`	A temporal model in Electronic Health Record search. Knowl. Based Syst. Jiayue Zhang, Weiran Xu, Jun Guo, Sheng Gao
2017	—	`conf`	BUPT-PRIS System for TAC 2017 Event Nugget Detection, Event Argument Linking and ADR Tracks. TAC Xiusen Gu, Chen Ding, Si Li, Weiran Xu
2017	—	`conf`	Chinese Lexical Normalization Based on Information Extraction: An Experimental Study. ICANN (2) Tian Tian, Weiran Xu
2017	—	`conf`	Combining Character-Level Representation for Relation Classification. ICANN (2) Dongyun Liang, Weiran Xu, Yinge Zhao
2017	—	`conf`	Combining Word-Level and Character-Level Representations for Relation Classification of Informal Text. Rep4NLP@ACL Dongyun Liang, Weiran Xu, Yinge Zhao
2017	B	`conf`	Designing an adaptive attention mechanism for relation classification. IJCNN Pengda Qin, Weiran Xu, Jun Guo
2017	—	`conf`	Instance-Adaptive Attention Mechanism for Relation Classification. ICANN (2) Yao Lu, Chunyun Zhang, Weiran Xu
2017	—	`conf`	Neural Domain Adaptation with Contextualized Character Embedding for Chinese Word Segmentation. NLPCC Zuyi Bao, Si Li, Sheng Gao, Weiran Xu
2017	—	`conf`	Neural Regularized Domain Adaptation for Chinese Word Segmentation. SIGHAN@IJCNLP Zuyi Bao, Si Li, Weiran Xu, Sheng Gao
2017	—	`conf`	Neural domain adaptation for Chinese word segmentation. IALP Zuyi Bao, Si Li, Weiran Xu, Sheng Gao
2017	J	`jnl`	Providing Definitive Learning Direction for Relation Classification System. J. Control. Sci. Eng. Pengda Qin, Weiran Xu, Jun Guo
2016	J	`jnl`	A novel negative sampling based on TFIDF for learning word representation. Neurocomputing Pengda Qin, Weiran Xu, Jun Guo
2016	—	`conf`	A time-aware approach for boosting medical records search. DMIAF Jiayue Zhang, Weiran Xu, Jun Guo
2016	J	`jnl`	An empirical convolutional neural network approach for semantic relation classification. Neurocomputing Pengda Qin, Weiran Xu, Jun Guo
2016	B	`conf`	Bitext Name Tagging for Cross-lingual Entity Annotation Projection. COLING Dongxu Zhang, Boliang Zhang, Xiaoman Pan, Xiaocheng Feng, Heng Ji, Weiran Xu
2016	—	`conf`	DoughnutPRIS at TAC KBP 2016. TAC Zuyi Bao, Yao Lu, Tian Tian, Dongyun Liang, Yinge Zhao, Zhichao Li, Pengda Qin, Weiran Xu
2016	—	`conf`	Fine-grained entity typing for knowledge base completion. IC-NIDC Yidong Jia, Weiran Xu, Pengda Qin, Zuyi Bao
2016	—	`conf`	Joint Event Extraction Based on Skip-Window Convolutional Neural Networks. NLPCC/ICCPOL Zhengkuan Zhang, Weiran Xu, Qianqian Chen
2016	J	`jnl`	Trigger word mining for relation extraction based on activation force. Int. J. Commun. Syst. Weiran Xu, Chunyun Zhang
2015	J	`jnl`	A holistic model of mining product aspects and associated sentiments from online reviews. Multim. Tools Appl. Yan Li, Zhen Qin, Weiran Xu, Jun Guo
2015	C	`conf`	A multi-level system for sequential update summarization. QSHINE Chunyun Zhang, Zhanyu Ma, Jiayue Zhang, Weiran Xu, Jun Guo
2015	—	`conf`	BUPT_PRIS at TAC KBP 2015. TAC Pengda Qin, Chaoyi Ma, Yidong Jia, Wei Wang, Zhengkuan Zhang, Zuyi Bao, Weiran Xu, Jun Guo
2015	J	`jnl`	Construction of semantic bootstrapping models for relation extraction. Knowl. Based Syst. Chunyun Zhang, Weiran Xu, Zhanyu Ma, Sheng Gao, Qun Li, Jun Guo
2015	A*	`conf`	Learning Word Vectors Efficiently Using Shared Representations and Document Representations. AAAI Qun Luo, Weiran Xu
2015	J	`jnl`	Mining activation force defined dependency patterns for relation extraction. Knowl. Based Syst. Chunyun Zhang, Yichang Zhang, Weiran Xu, Zhanyu Ma, Yan Leng, Jun Guo
2014	—	`conf`	A Feature Extraction Method Based on Word Embedding for Word Similarity Computing. NLPCC Weitai Zhang, Weiran Xu, Guang Chen, Jun Guo
2014	—	`conf`	A Study on the CBOW Model's Overfitting and Stability. Web-KRM@CIKM Qun Luo, Weiran Xu, Jun Guo
2014	—	`conf`	A bottom-up kernel of pattern learning for relation extraction. ISCSLP Chunyun Zhang, Weiran Xu, Sheng Gao, Jun Guo
2014	—	`conf`	BUPT_PRIS at TREC 2014 Knowledge Base Acceleration Track. TREC Yuanyuan Qi, Ye Xu, Dongxu Zhang, Weiran Xu
2014	B	`conf`	Confidence Estimation and Reputation Analysis in Aspect Extraction. ICPR Yan Li, Hui Wang, Zhen Qin, Weiran Xu, Jun Guo
2014	—	`conf`	The Information Extraction systems of BUPT_PRIS at TREC2014 Temporal Summarization Track. TREC Yuanyuan Qi, Qinlong Wang, Chuchu Huang, Bo Tang, Weiran Xu, Guang Chen, Jun Guo
2013	—	`conf`	PRIS at Knowledge Base Population 2013. TAC Yan Li, Yichang Zhang, Doyu Li, Xin Tong, Jianlong Wang, Naiche Zuo, Ying Wang, Weiran Xu, Guang Chen, Jun Guo
2013	—	`conf`	PRIS at TREC2013 Knowledge Base Acceleration Track. TREC Chunyun Zhang, Weiran Xu, Ruifang Liu, Weitai Zhang, Dai Zhang, Janshu Ji, Jing Yang
2013	—	`conf`	Promoting electronic health record search through a time-aware approach. BIBM Jiayue Zhang, Jimmy Xiangji Huang, Jun Guo, Weiran Xu
2013	J	`jnl`	Unsupervised Sentiment-Bearing Feature Selection for Document-Level Sentiment Classification. IEICE Trans. Inf. Syst. Yan Li, Zhen Qin, Weiran Xu, Heng Ji, Jun Guo
2012	—	`conf`	A Computationally Efficient Algorithm for Building Statistical Color Models. ICME Workshops Mingzhi Dong, Liang Yin, Weihong Deng, Jun Guo, Weiran Xu
2012	—	`conf`	Analyzing semantic orientation of terms using Affinity Propagation. ISCSLP Yan Li, Si Li, Weiran Xu, Jun Guo
2012	—	`conf`	Aspect identification and sentiment analysis based on NLP. IC-NIDC Li Zhang, Weiran Xu, Si Li
2012	—	`conf`	In-depth blog retrieval based on improved pivoted normalization weighting coefficient. ICDIP Jingyi Guan, Si Li, Weiran Xu, Guang Chen, Jun Guo
2012	B	`conf`	Integrative labeling based statistical color models with application to skin detection. ICIP Mingzhi Dong, Liang Yin, Jun Guo, Weihong Deng, Weiran Xu
2012	—	`conf`	PRIS at 2012 Microblog Track. TREC Jiayue Zhang, Sijia Chen, Yue Liu, Jie Yin, Qianqian Wang, Weiran Xu, Jun Guo
2012	—	`conf`	PRIS at 2012 TREC Medical Track: Query Expansion, Retrieval and Ranking. TREC Jiayue Zhang, Lin Lin, Shudang Diao, Yukun Li, Runnan Liu, Weiran Xu, Jun Guo
2012	—	`conf`	PRIS at TAC2012 KBP Track. TAC Yan Li, Sijia Chen, Zhihua Zhou, Jie Yin, Hao Luo, Liyin Hong, Weiran Xu, Guang Chen, Jun Guo
2012	—	`conf`	PRIS at TREC 2012 Contextual Suggestion Track. TREC Lin Qiu, JunRui Peng, Qianqian Wang, Yue Liu, Zhihua Zhou, Weiran Xu, Guang Chen, Jun Guo
2012	—	`conf`	PRIS at TREC 2012 KBA Track. TREC Yan Li, Zhaozhao Wang, Baojin Yu, Yong Zhang, Ruiyang Luo, Weiran Xu, Guang Chen, Jun Guo
2012	J	`jnl`	Word Activation Forces: Distinctive Statistics Revealing Word Associations. Wirel. Pers. Commun. Jun Guo, Guang Chen, Weiran Xu
2011	—	`conf`	PRIS at TREC 2011 Entity Track: Related Entity Finding and Entity List Completion. TREC Zhanyi Wang, Wenlong Lv, Heng Li, Wenyuan Zhou, Li Zhang, Xiao Mo, Liaoming Zhou, Weiran Xu, Guang Chen, Jun Guo
2011	—	`conf`	PRIS at TREC 2011 Legal Track Discovery Based on Relevant Feedback. TREC Jiayue Zhang, Wenyi Yang, Xi Wang, Lihua Wu, Yongtian Zhang, Weiran Xu, Guang Chen, Jun Guo
2011	—	`conf`	PRIS at TREC 2011 Medical Record Track. TREC Jiayue Zhang, Xueneng Lin, Yang Zou, Shuai Zhu, Jing Xiao, Weiran Xu, Guang Chen, Jun Guo
2011	—	`conf`	PRIS at TREC 2011 Microblog Track. TREC Yan Li, Zhenhua Zhang, Wenlong Lv, Qianlong Xie, Yuhang Lin, Rao Xu, Weiran Xu, Guang Chen, Jun Guo
2011	—	`conf`	PolyUCOMP in TAC 2011 Entity Linking and Slot-Filling. TAC Xu Jian, Zhengzhong Liu, Qin Lu, Patty Liu, Chenchen Wang, Yan Li, Xiaoning Li, Hanying Huang, Yang Song, Cheng Chang, Liaoming Zhou, Jing Xiao, Dian Yu, Weiran Xu, Guang Chen, Jun Guo
2011	A*	`conf`	Product comparison using comparative relations. SIGIR Si Li, Zheng-Jun Zha, Zhaoyan Ming, Meng Wang, Tat-Seng Chua, Jun Guo, Weiran Xu
2010	—	`conf`	Cross-Document Coreference Resolution Based on Automatic Text Summary. WKDD Sanyuan Gao, Si Li, Weiran Xu, Jun Guo
2010	B	`conf`	Exploiting Combined Multi-level Model for Document Sentiment Analysis. ICPR Si Li, Hao Zhang, Weiran Xu, Guang Chen, Jun Guo
2010	J	`jnl`	Faceted Blog Distillation System: Find an in-Depth Blog. J. Digit. Content Technol. its Appl. Si Li, Huiji Gao, Jingyi Guan, Weiran Xu, Jun Guo
2010	—	`conf`	PRIS at Chinese Language Processing. CIPS-SIGHAN Jiayue Zhang, Yichao Cai, Si Li, Weiran Xu, Jun Guo
2010	—	`conf`	PRIS at TAC2010 KBP Track. TAC Sanyuan Gao, Yichao Cai, Si Li, Zongyu Zhang, Jingyi Guan, Yan Li, Hao Zhang, Weiran Xu, Jun Guo
2010	—	`conf`	PRIS at TREC 2010 Blog Track: Faceted Blog Distillaton. TREC Si Li, Yan Li, Jiayue Zhang, Jingyi Guan, Xueji Sun, Weiran Xu, Guang Chen, Jun Guo
2010	—	`conf`	PRIS at TREC 2010: Related Entity Finding Task of Entity Track. TREC Zhanyi Wang, Chunsong Tang, Xueji Sun, Haoyi Ouyang, Ru Lan, Weiran Xu, Guang Chen, Jun Guo
2010	—	`conf`	Weakly supervised relevance feedback based on an improved language model. NLPKE Xinsheng Li, Si Li, Weiran Xu, Guang Chen, Jun Guo
2009	—	`conf`	A Study of Faceted Blog Distillation--PRIS at TREC 2009 Blog Track. TREC Si Li, Huiji Gao, Hao Sun, Fei Chen, Oupeng Feng, Sanyuan Gao, Hao Zhang, Xinsheng Li, Caili Tan, Weiran Xu, Guang Chen, Jun Guo
2009	—	`conf`	A feature-enhanced smoothing method for LDA model applied to text classification. NLPKE Dongxin Liu, Weiran Xu, Jiani Hu
2009	—	`conf`	BUPT at TREC 2009: Entity Track. TREC Zhanyi Wang, Dong-Xin Liu, Weiran Xu, Guang Chen, Jun Guo
2009	J	`jnl`	Learning a locality discriminating projection for classification. Knowl. Based Syst. Jiani Hu, Weihong Deng, Jun Guo, Weiran Xu
2009	—	`conf`	PRIS at TAC 2009: Experiments in KBP Track. TAC Si Li, Sanyuan Gao, Zongyu Zhang, Xinsheng Li, Jingyi Guan, Weiran Xu, Jun Guo
2009	J	`jnl`	PrisCrawler: A Relevance Based Crawler for Automated Data Classification from Bulletin Board CoRR Pu Yang, Jun Guo, Weiran Xu
2009	—	`conf`	Supervised Dual-PLSA for Personalized SMS Filtering. AIRS Weiran Xu, Dong-Xin Liu, Jun Guo, Yichao Cai, Rile Hu
2008	—	`conf`	Improving Expertise Recommender Systems by Odds Ratio. AIRS Zhao Ru, Jun Guo, Weiran Xu
2008	—	`conf`	PRIS in TREC 2008 Blog Track. TREC Hui He, Bo Chen, Lei Du, Si Li, Huiji Gao, Weiran Xu, Jun Guo
2007	—	`conf`	An Expert Experience Probabilistic Model for Enterprise Expert Finding. FSKD (1) Zhao Ru, Weiran Xu, Jun Guo
2007	—	`conf`	Learning Locality Discriminating Indexing for Text Categorization. FSKD (3) Jiani Hu, Weihong Deng, Jun Guo, Weiran Xu
2007	A*	`conf`	Locality discriminating indexing for document classification. SIGIR Jiani Hu, Weihong Deng, Jun Guo, Weiran Xu
2007	—	`conf`	Short Text Feature Extraction and Clustering for Web Topic Mining. SKG Hui He, Bo Chen, Weiran Xu, Jun Guo
2006	—	`conf`	An Approach to Spam Detection by Naive Bayes Ensemble Based on Decision Induction. ISDA (2) Zhen Yang, Xiangfei Nie, Weiran Xu, Jun Guo
2006	—	`conf`	BUPT at TREC 2006: Enterprise Track. TREC Zhao Ru, Quian Li, Weiran Xu, Jun Guo
2006	—	`conf`	BUPT at TREC 2006: Spam Track. TREC Zhen Yang, Wei Xu, Bo Chen, Weiran Xu, Jun Guo
2006	—	`conf`	Multi-scale Support Vector Machine for Regression Estimation. ISNN (1) Zhen Yang, Jun Guo, Weiran Xu, Xiangfei Nie, Jian Wang, Jianjun Lei
2006	—	`conf`	POC-NLW Template for Chinese Word Segmentation. SIGHAN@COLING/ACL Bo Chen, Weiran Xu, Tao Peng, Jun Guo
2005	—	`conf`	PRIS Kidult Anti-SPAM Solution at the TREC 2005 Spam Track: Improving the Performance of Naive Bayes for Spam Detection. TREC Zhen Yang, Weiran Xu, Bo Chen, Jiani Hu, Jun Guo
2005	—	`conf`	TREC 2005 Enterprise Track Experiments at BUPT. TREC Zhao Ru, Yuehua Chen, Weiran Xu, Jun Guo