Xinghua Zhang - RankMe

56 papers A* 14A 3B 1C 1Misc 2Journal 26Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ExpSeek: Self-Triggered Experience Seeking for Web Agents. CoRR Wenyuan Zhang, Xinghua Zhang, Haiyang Yu, Shuaiyi Nie, Bingli Wu, Juwei Yue, Tingwen Liu, Yongbin Li
2026	A*	`conf`	S WWW Xiaodong Li, Juwei Yue, Xinghua Zhang, Jiawei Sheng, Wenyuan Zhang, Taoyu Su, Zefeng Zhang, Tingwen Liu
2026	J	`jnl`	S2CDR: Smoothing-Sharpening Process Model for Cross-Domain Recommendation. CoRR Xiaodong Li, Juwei Yue, Xinghua Zhang, Jiawei Sheng, Wenyuan Zhang, Taoyu Su, Zefeng Zhang, Tingwen Liu
2025	J	`jnl`	Adaptive Thinking via Mode Policy Optimization for Social Language Agents. CoRR Minzheng Wang, Yongbin Li, Haobo Wang, Xinghua Zhang, Nan Xu, Bingli Wu, Fei Huang, Haiyang Yu, Wenji Mao
2025	—	`conf`	DEMO: Reframing Dialogue Interaction with Fine-grained Element Modeling. ACL (Findings) Minzheng Wang, Xinghua Zhang, Kun Chen, Nan Xu, Haiyang Yu, Fei Huang, Wenji Mao, Yongbin Li
2025	A*	`conf`	EIFBENCH: Extremely Complex Instruction Following Benchmark for Large Language Models. EMNLP Tao Zou, Xinghua Zhang, Haiyang Yu, Minzheng Wang, Fei Huang, Yongbin Li
2025	J	`jnl`	EIFBENCH: Extremely Complex Instruction Following Benchmark for Large Language Models. CoRR Tao Zou, Xinghua Zhang, Haiyang Yu, Minzheng Wang, Fei Huang, Yongbin Li
2025	—	`conf`	Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation. KDD (1) Xiaodong Li, Hengzhu Tang, Jiawei Sheng, Xinghua Zhang, Li Gao, Suqi Cheng, Dawei Yin, Tingwen Liu
2025	J	`jnl`	Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation. CoRR Xiaodong Li, Hengzhu Tang, Jiawei Sheng, Xinghua Zhang, Li Gao, Suqi Cheng, Dawei Yin, Tingwen Liu
2025	A*	`conf`	Graph Wave Networks. WWW Juwei Yue, Haikuo Li, Jiawei Sheng, Yihan Guo, Xinghua Zhang, Chuan Zhou, Tingwen Liu, Li Guo
2025	J	`jnl`	Graph Wave Networks. CoRR Juwei Yue, Haikuo Li, Jiawei Sheng, Yihan Guo, Xinghua Zhang, Chuan Zhou, Tingwen Liu, Li Guo
2025	—	`conf`	IOPO: Empowering LLMs with Complex Instruction Following via Input-Output Preference Optimization. ACL (1) Xinghua Zhang, Haiyang Yu, Cheng Fu, Fei Huang, Yongbin Li
2025	J	`jnl`	LearnAlign: Reasoning Data Selection for Reinforcement Learning in Large Language Models Based on Improved Gradient Alignment. CoRR Shikun Li, Shipeng Li, Zhiqin Yang, Xinghua Zhang, Gaode Chen, Xiaobo Xia, Hengyu Liu, Zhe Peng
2025	A*	`conf`	On the Role of Attention Heads in Large Language Model Safety. ICLR Zhenhong Zhou, Haiyang Yu, Xinghua Zhang, Rongwu Xu, Fei Huang, Kun Wang, Yang Liu, Junfeng Fang, Yongbin Li
2025	A*	`conf`	Personalized Multi-Interest Modeling for Cross-Domain Recommendation to Cold-Start Users. ICDE Xiaodong Li, Jiawei Sheng, Jiangxia Cao, Xinghua Zhang, Wenyuan Zhang, Yong Sun, Shirui Pan, Zhihong Tian, Tingwen Liu
2025	A*	`conf`	Revealing and Mitigating the Challenge of Detecting Character Knowledge Errors in LLM Role-Playing. EMNLP Wenyuan Zhang, Shuaiyi Nie, Jiawei Sheng, Zefeng Zhang, Xinghua Zhang, Yongquan He, Tingwen Liu
2025	J	`jnl`	S1-Bench: A Simple Benchmark for Evaluating System 1 Thinking Capability of Large Reasoning Models. CoRR Wenyuan Zhang, Shuaiyi Nie, Xinghua Zhang, Zefeng Zhang, Tingwen Liu
2025	J	`jnl`	Socratic-PRMBench: Benchmarking Process Reward Models with Systematic Reasoning Patterns. CoRR Xiang Li, Haiyang Yu, Xinghua Zhang, Ziyang Huang, Shizhu He, Kang Liu, Jun Zhao, Fei Huang, Yongbin Li
2025	J	`jnl`	Towards Comprehensible Recommendation with Large Language Model Fine-tuning. CoRR Yunze Luo, Yinjie Jiang, Gaode Chen, Xinghua Zhang, Jun Zhang, Jian Liang, Kaigui Bian
2024	A	`conf`	A Multi-modal Modeling Framework for Cold-start Short-video Recommendation. RecSys Gaode Chen, Ruina Sun, Yuezihan Jiang, Jiangxia Cao, Qi Zhang, Jingjian Lin, Han Li, Kun Gai, Xinghua Zhang
2024	Misc	`conf`	Adaptive Data Augmentation for Aspect Sentiment Quad Prediction. ICASSP Wenyuan Zhang, Xinghua Zhang, Shiyao Cui, Kun Huang, Xuebin Wang, Tingwen Liu
2024	J	`jnl`	Adaptive Data Augmentation for Aspect Sentiment Quad Prediction. CoRR Wenyuan Zhang, Xinghua Zhang, Shiyao Cui, Kun Huang, Xuebin Wang, Tingwen Liu
2024	J	`jnl`	Cross-Domain NER under a Divide-and-Transfer Paradigm. ACM Trans. Inf. Syst. Xinghua Zhang, Bowen Yu, Xin Cong, Taoyu Su, Quangang Li, Tingwen Liu, Hongbo Xu
2024	J	`jnl`	DEMO: Reframing Dialogue Interaction with Fine-grained Element Modeling. CoRR Minzheng Wang, Xinghua Zhang, Kun Chen, Nan Xu, Haiyang Yu, Fei Huang, Wenji Mao, Yongbin Li
2024	A	`conf`	Empowering LLMs for Multi-Page Layout Generation via Consistency-Oriented In-Context Learning. CIKM Mengyao Chen, Xinghua Zhang, Junhao Zhang, Quangang Li, Tingwen Liu
2024	A*	`conf`	Exogenous and Endogenous Data Augmentation for Low-Resource Complex Named Entity Recognition. SIGIR Xinghua Zhang, Gaode Chen, Shiyao Cui, Jiawei Sheng, Tingwen Liu, Hongbo Xu
2024	A*	`conf`	Exploring the Trade-Off within Visual Information for MultiModal Sentence Summarization. SIGIR Minghuan Yuan, Shiyao Cui, Xinghua Zhang, Shicheng Wang, Hongbo Xu, Tingwen Liu
2024	—	`conf`	How Alignment and Jailbreak Work: Explain LLM Safety through Intermediate Hidden States. EMNLP (Findings) Zhenhong Zhou, Haiyang Yu, Xinghua Zhang, Rongwu Xu, Fei Huang, Yongbin Li
2024	J	`jnl`	How Alignment and Jailbreak Work: Explain LLM Safety through Intermediate Hidden States. CoRR Zhenhong Zhou, Haiyang Yu, Xinghua Zhang, Rongwu Xu, Fei Huang, Yongbin Li
2024	A*	`conf`	IBMEA: Exploring Variational Information Bottleneck for Multi-modal Entity Alignment. ACM Multimedia Taoyu Su, Jiawei Sheng, Shicheng Wang, Xinghua Zhang, Hongbo Xu, Tingwen Liu
2024	J	`jnl`	IBMEA: Exploring Variational Information Bottleneck for Multi-modal Entity Alignment. CoRR Taoyu Su, Jiawei Sheng, Shicheng Wang, Xinghua Zhang, Hongbo Xu, Tingwen Liu
2024	J	`jnl`	IOPO: Empowering LLMs with Complex Instruction Following via Input-Output Preference Optimization. CoRR Xinghua Zhang, Haiyang Yu, Cheng Fu, Fei Huang, Yongbin Li
2024	Misc	`conf`	Improving Chinese Spelling Correction with Text-Phonetics Differentiation and Adaptive Fusion. ICASSP Wenhao Zhang, Shiyao Cui, Wenyuan Zhang, Xinghua Zhang, Tingwen Liu, Hongbo Xu
2024	A*	`conf`	Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA. EMNLP Minzheng Wang, Longze Chen, Fu Cheng, Shengyi Liao, Xinghua Zhang, Bingli Wu, Haiyang Yu, Nan Xu, Lei Zhang, Run Luo, Yunshui Li, Min Yang, Fei Huang, Yongbin Li
2024	J	`jnl`	Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA. CoRR Minzheng Wang, Longze Chen, Cheng Fu, Shengyi Liao, Xinghua Zhang, Bingli Wu, Haiyang Yu, Nan Xu, Lei Zhang, Run Luo, Yunshui Li, Min Yang, Fei Huang, Yongbin Li
2024	A	`conf`	LoginMEA: Local-to-Global Interaction Network for Multi-Modal Entity Alignment. ECAI Taoyu Su, Xinghua Zhang, Jiawei Sheng, Zhenyu Zhang, Tingwen Liu
2024	J	`jnl`	LoginMEA: Local-to-Global Interaction Network for Multi-modal Entity Alignment. CoRR Taoyu Su, Xinghua Zhang, Jiawei Sheng, Zhenyu Zhang, Tingwen Liu
2024	J	`jnl`	On the Role of Attention Heads in Large Language Model Safety. CoRR Zhenhong Zhou, Haiyang Yu, Xinghua Zhang, Rongwu Xu, Fei Huang, Kun Wang, Yang Liu, Junfeng Fang, Yongbin Li
2024	J	`jnl`	Revealing the Challenge of Detecting Character Knowledge Errors in LLM Role-Playing. CoRR Wenyuan Zhang, Jiawei Sheng, Shuaiyi Nie, Zefeng Zhang, Xinghua Zhang, Yongquan He, Tingwen Liu
2024	J	`jnl`	The Imperative of Conversation Analysis in the Era of LLMs: A Survey of Tasks, Techniques, and Trends. CoRR Xinghua Zhang, Haiyang Yu, Yongbin Li, Minzheng Wang, Longze Chen, Fei Huang
2023	—	`conf`	Enhancing Table Retrieval with Dual Graph Representations. ECML/PKDD (4) Tianyun Liu, Xinghua Zhang, Zhenyu Zhang, Yubin Wang, Quangang Li, Shuai Zhang, Tingwen Liu
2023	B	`conf`	ID-MixGCL: Identity Mixup for Graph Contrastive Learning. IEEE Big Data Gehang Zhang, Bowen Yu, Jiangxia Cao, Xinghua Zhang, Jiawei Sheng, Chuan Zhou, Tingwen Liu
2023	J	`jnl`	ID-MixGCL: Identity Mixup for Graph Contrastive Learning. CoRR Gehang Zhang, Bowen Yu, Jiangxia Cao, Xinghua Zhang, Tingwen Liu, Chuan Zhou
2023	—	`conf`	Prompting Generative Language Model with Guiding Augmentation for Aspect Sentiment Triplet Extraction. PRICAI (2) Kun Huang, Yongxiu Xu, Xinghua Zhang, Wenyuan Zhang, Hongbo Xu
2023	A*	`conf`	Representation and Labeling Gap Bridging for Cross-lingual Named Entity Recognition. SIGIR Xinghua Zhang, Bowen Yu, Jiangxia Cao, Quangang Li, Xuebin Wang, Tingwen Liu, Hongbo Xu
2023	J	`jnl`	Wider and Deeper LLM Networks are Fairer LLM Evaluators. CoRR Xinghua Zhang, Bowen Yu, Haiyang Yu, Yangyu Lv, Tingwen Liu, Fei Huang, Hongbo Xu, Yongbin Li
2023	A*	`conf`	Win-Win: A Privacy-Preserving Federated Framework for Dual-Target Cross-Domain Recommendation. AAAI Gaode Chen, Xinghua Zhang, Yijun Su, Yantong Lai, Ji Xiang, Junbo Zhang, Yu Zheng
2022	J	`jnl`	A Cross-City Federated Transfer Learning Framework: A Case Study on Urban Region Profiling. CoRR Gaode Chen, Yijun Su, Xinghua Zhang, Anmin Hu, Guochun Chen, Siyuan Feng, Ji Xiang, Junbo Zhang, Yu Zheng
2022	C	`conf`	Enhancing Pre-Trained Language Representations Based on Contrastive Learning for Unsupervised Keyphrase Extraction. SEKE Zhaohui Wang, Xinghua Zhang, Yanzeng Li, Yubin Wang, Jiawei Sheng, Tingwen Liu, Hongbo Xu
2022	A*	`conf`	Exploring Modular Task Decomposition in Cross-domain Named Entity Recognition. SIGIR Xinghua Zhang, Bowen Yu, Yubin Wang, Tingwen Liu, Taoyu Su, Hongbo Xu
2021	A*	`conf`	Exploring Periodicity and Interactivity in Multi-Interest Framework for Sequential Recommendation. IJCAI Gaode Chen, Xinghua Zhang, Yanyan Zhao, Cong Xue, Ji Xiang
2021	J	`jnl`	Exploring Periodicity and Interactivity in Multi-Interest Framework for Sequential Recommendation. CoRR Gaode Chen, Xinghua Zhang, Yanyan Zhao, Cong Xue, Ji Xiang
2021	—	`conf`	Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning. EMNLP (Findings) Xinghua Zhang, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Jiawei Sheng, Mengge Xue, Hongbo Xu
2021	—	`conf`	Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning. EMNLP (1) Xinghua Zhang, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Jiawei Sheng, Mengge Xue, Hongbo Xu
2021	J	`jnl`	Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning. CoRR Xinghua Zhang, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Jiawei Sheng, Mengge Xue, Hongbo Xu
2018	—	`conf`	Ensemble of Binary Classification for the Emotion Detection in Code-Switching Text. NLPCC (2) Xinghua Zhang, Chunyue Zhang, Huaxing Shi