Xiting Wang - RankMe

130 papers A* 35A 2B 1Journal 73Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DPWriter: Reinforcement Learning with Diverse Planning Branching for Creative Writing. CoRR Qian Cao, Yahui Liu, Wei Bi, Yi Zhao, Ruihua Song, Xiting Wang, Ruiming Tang, Guorui Zhou, Han Li
2026	J	`jnl`	Efficient and Stable Reinforcement Learning for Diffusion Language Models. CoRR Jiawei Liu, Xiting Wang, Yuanyuan Zhong, Defu Lian, Yu Yang
2026	J	`jnl`	Enhancing Safety of Large Language Models via Embedding Space Separation. CoRR Xu Zhao, Xiting Wang, Weiran Shen
2026	J	`jnl`	NCP: Neighborhood-Preserving Non-Uniform Circle Packing for Visualization. CoRR Duan Li, Jun Yuan, Xinyuan Guo, Xiting Wang, Yang Liu, Weikai Yang, Shixia Liu
2026	J	`jnl`	Target Concept Tuning Improves Extreme Weather Forecasting. CoRR Shijie Ren, Xinyue Gu, Ziheng Peng, Haifan Zhang, Peisong Niu, Bo Wu, Xiting Wang, Liang Sun, Jirong Wen
2026	J	`jnl`	Toward Personalized LLM-Powered Agents: Foundations, Evaluation, and Future Directions. CoRR Yue Xu, Qian Chen, Zizhan Ma, Dongrui Liu, Wenxuan Wang, Xiting Wang, Li Xiong, Wenjie Wang
2026	J	`jnl`	Unlocking Implicit Experience: Synthesizing Tool-Use Trajectories from Text. CoRR Zhihao Xu, Rumei Li, Jiahuan Li, Rongxiang Weng, Jingang Wang, Xunliang Cai, Xiting Wang
2025	A*	`conf`	Controlling Large Language Models Through Concept Activation Vectors. AAAI Hanyu Zhang, Xiting Wang, Chengao Li, Xiang Ao, Qing He
2025	J	`jnl`	Controlling Large Language Models Through Concept Activation Vectors. CoRR Hanyu Zhang, Xiting Wang, Chengao Li, Xiang Ao, Qing He
2025	—	`conf`	Entropy-based Exploration Conduction for Multi-step Reasoning. ACL (Findings) Jinghan Zhang, Xiting Wang, Fengran Mo, Yeyang Zhou, Wanfu Gao, Kunpeng Liu
2025	J	`jnl`	Entropy-based Exploration Conduction for Multi-step Reasoning. CoRR Jinghan Zhang, Xiting Wang, Fengran Mo, Yeyang Zhou, Wanfu Gao, Kunpeng Liu
2025	J	`jnl`	Evaluating Text Creativity across Diverse Domains: A Dataset and Large Language Model Evaluator. CoRR Qian Cao, Xiting Wang, Yuzhuo Yuan, Yahui Liu, Fang Luo, Ruihua Song
2025	—	`conf`	HuPer: Human Factors Integrated Persuasive Dialogue Models. PAKDD (Workshops) Lingzhen Kong, Chuhao Jin, Ruihua Song, Xiting Wang, Yu Chen
2025	—	`conf`	Internal Value Alignment in Large Language Models through Controlled Value Vector Activation. ACL (1) Haoran Jin, Meng Li, Xiting Wang, Zhihao Xu, Minlie Huang, Yantao Jia, Defu Lian
2025	J	`jnl`	Internal Value Alignment in Large Language Models through Controlled Value Vector Activation. CoRR Haoran Jin, Meng Li, Xiting Wang, Zhihao Xu, Minlie Huang, Yantao Jia, Defu Lian
2025	J	`jnl`	Learning to Detect Unknown Jailbreak Attacks in Large Vision-Language Models: A Unified and Accurate Approach. CoRR Shuang Liang, Zhihao Xu, Jialing Tao, Hui Xue, Xiting Wang
2025	J	`jnl`	Neural Recommendation Reasoning with Logic Rules. ACM Trans. Inf. Syst. Jing Yao, Xiting Wang, Jianxun Lian, Xiaoyuan Yi, Xing Xie
2025	—	`conf`	Optimal Transport-Based Token Weighting scheme for Enhanced Preference Optimization. ACL (1) Meng Li, Guangda Huzhang, Haibo Zhang, Xiting Wang, Anxiang Zeng
2025	J	`jnl`	Optimal Transport-Based Token Weighting scheme for Enhanced Preference Optimization. CoRR Meng Li, Guangda Huzhang, Haibo Zhang, Xiting Wang, Anxiang Zeng
2025	J	`jnl`	PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis. CoRR Chuhao Jin, Haosen Li, Bingzi Zhang, Che Liu, Xiting Wang, Ruihua Song, Wenbing Huang, Ying Qin, Fuzheng Zhang, Di Zhang
2025	J	`jnl`	ProtoTS: Learning Hierarchical Prototypes for Explainable Time Series Forecasting. CoRR Ziheng Peng, Shijie Ren, Xinyue Gu, Linxiao Yang, Xiting Wang, Liang Sun
2025	A*	`conf`	RATT: A Thought Structure for Coherent and Correct LLM Reasoning. AAAI Jinghan Zhang, Xiting Wang, Weijieying Ren, Lu Jiang, Dongjie Wang, Kunpeng Liu
2025	J	`jnl`	REWARD CONSISTENCY: Improving Multi-Objective Alignment from a Data-Centric Perspective. CoRR Zhihao Xu, Yongqi Tong, Xin Zhang, Jun Zhou, Xiting Wang
2025	J	`jnl`	Refusal Falls off a Cliff: How Safety Alignment Fails in Reasoning? CoRR Qingyu Yin, Chak Tou Leong, Linyi Yang, Wenxuan Huang, Wenjie Li, Xiting Wang, Jaehong Yoon, YunXing, XingYu, Jinjin Gu
2025	J	`jnl`	Safe-SAIL: Towards a Fine-grained Safety Landscape of Large Language Models via Sparse Autoencoder Interpretation Framework. CoRR Jiaqi Weng, Han Zheng, Hanyu Zhang, Qinqin He, Jialing Tao, Hui Xue, Zhixuan Chu, Xiting Wang
2025	—	`conf`	Select, Read, and Write: A Multi-Agent Framework of Full-Text-based Related Work Generation. ACL (Findings) Xiaochuan Liu, Ruihua Song, Xiting Wang, Xu Chen
2025	J	`jnl`	Select, Read, and Write: A Multi-Agent Framework of Full-Text-based Related Work Generation. CoRR Xiaochuan Liu, Ruihua Song, Xiting Wang, Xu Chen
2025	A*	`conf`	Think Then React: Towards Unconstrained Action-to-Reaction Motion Generation. ICLR Wenhui Tan, Boyuan Li, Chuhao Jin, Wenbing Huang, Xiting Wang, Ruihua Song
2025	J	`jnl`	Think-Then-React: Towards Unconstrained Human Action-to-Reaction Generation. CoRR Wenhui Tan, Boyuan Li, Chuhao Jin, Wenbing Huang, Xiting Wang, Ruihua Song
2024	J	`jnl`	A New Adapter Tuning of Large Language Model for Chinese Medical Named Entity Recognition. Appl. Artif. Intell. Lu Zhou, Yiheng Chen, Xinmin Li, Yanan Li, Ning Li, Xiting Wang, Rui Zhang
2024	J	`jnl`	Aerosol Vertical Structure and Optical Properties during Two Dust and Haze Episodes in a Typical Valley Basin City, Lanzhou of Northwest China. Remote. Sens. Junyang Ma, Jianrong Bi, Bowen Li, Di Zhu, Xiting Wang, Zhaozhao Meng, Jinsen Shi
2024	—	`conf`	BSharedRAG: Backbone Shared Retrieval-Augmented Generation for the E-commerce Domain. EMNLP (Findings) Kaisi Guan, Qian Cao, Yuchong Sun, Xiting Wang, Ruihua Song
2024	J	`jnl`	BSharedRAG: Backbone Shared Retrieval-Augmented Generation for the E-commerce Domain. CoRR Kaisi Guan, Qian Cao, Yuchong Sun, Xiting Wang, Ruihua Song
2024	—	`conf`	Distillation with Explanations from Large Language Models. LREC/COLING Hanyu Zhang, Xiting Wang, Xiang Ao, Qing He
2024	J	`jnl`	Evaluating Concept-based Explanations of Language Models: A Study on Faithfulness and Readability. CoRR Meng Li, Haoran Jin, Ruixuan Huang, Zhihao Xu, Defu Lian, Zijia Lin, Di Zhang, Xiting Wang
2024	A*	`conf`	Evaluating Readability and Faithfulness of Concept-based Explanations. EMNLP Meng Li, Haoran Jin, Ruixuan Huang, Zhihao Xu, Defu Lian, Zijia Lin, Di Zhang, Xiting Wang
2024	J	`jnl`	Large Language Models show both individual and collective creativity comparable to humans. CoRR Luning Sun, Yuzhuo Yuan, Yuan Yao, Yanyan Li, Hao Zhang, Xing Xie, Xiting Wang, Fang Luo, David Stillwell
2024	—	`conf`	Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models. ACL (1) Changyu Chen, Xiting Wang, Ting-En Lin, Ang Lv, Yuchuan Wu, Xin Gao, Ji-Rong Wen, Rui Yan, Yongbin Li
2024	J	`jnl`	Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models. CoRR Changyu Chen, Xiting Wang, Ting-En Lin, Ang Lv, Yuchuan Wu, Xin Gao, Ji-Rong Wen, Rui Yan, Yongbin Li
2024	—	`conf`	Persuading across Diverse Domains: a Dataset and Persuasion Large Language Model. ACL (1) Chuhao Jin, Kening Ren, Lingzhen Kong, Xiting Wang, Ruihua Song, Huan Chen
2024	—	`conf`	Prototypical Reward Network for Data-Efficient RLHF. ACL (1) Jinghan Zhang, Xiting Wang, Yiqiao Jin, Changyu Chen, Xinhao Zhang, Kunpeng Liu
2024	J	`jnl`	Prototypical Reward Network for Data-Efficient RLHF. CoRR Jinghan Zhang, Xiting Wang, Yiqiao Jin, Changyu Chen, Xinhao Zhang, Kunpeng Liu
2024	J	`jnl`	Put Your Voice on Stage: Personalized Headline Generation for News Articles. ACM Trans. Knowl. Discov. Data Xiang Ao, Ling Luo, Xiting Wang, Zhao Yang, Jiun-Hung Chen, Ying Qiao, Qing He, Xing Xie
2024	J	`jnl`	RATT: A Thought Structure for Coherent and Correct LLM Reasoning. CoRR Jinghan Zhang, Xiting Wang, Weijieying Ren, Lu Jiang, Dongjie Wang, Kunpeng Liu
2024	A*	`conf`	See or Guess: Counterfactually Regularized Image Captioning. ACM Multimedia Qian Cao, Xu Chen, Ruihua Song, Xiting Wang, Xinting Huang, Yuchen Ren
2024	J	`jnl`	See or Guess: Counterfactually Regularized Image Captioning. CoRR Qian Cao, Xu Chen, Ruihua Song, Xiting Wang, Xinting Huang, Yuchen Ren
2024	J	`jnl`	Thought Space Explorer: Navigating and Expanding Thought Space for Large Language Model Reasoning. CoRR Jinghan Zhang, Fengran Mo, Xiting Wang, Kunpeng Liu
2024	J	`jnl`	Uncovering Safety Risks in Open-source LLMs through Concept Activation Vector. CoRR Zhihao Xu, Ruixuan Huang, Xiting Wang, Fangzhao Wu, Jing Yao, Xing Xie
2024	A*	`conf`	Uncovering Safety Risks of Large Language Models through Concept Activation Vector. NeurIPS Zhihao Xu, Ruixuan Huang, Changyu Chen, Xiting Wang
2024	—	`conf`	Value FULCRA: Mapping Large Language Models to the Multidimensional Spectrum of Basic Human Value. NAACL-HLT Jing Yao, Xiaoyuan Yi, Yifan Gong, Xiting Wang, Xing Xie
2023	A*	`conf`	A Causality Inspired Framework for Model Interpretation. KDD Chenwang Wu, Xiting Wang, Defu Lian, Xing Xie, Enhong Chen
2023	—	`conf`	DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generation. ACL (1) Yuxi Feng, Xiaoyuan Yi, Xiting Wang, Laks V. S. Lakshmanan, Xing Xie
2023	A*	`conf`	DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision. WWW Sungwon Han, Seungeon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie, Meeyoung Cha
2023	J	`jnl`	DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision. CoRR Sungwon Han, Seungeon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie, Meeyoung Cha
2023	J	`jnl`	Evaluating General-Purpose AI with Psychometrics. CoRR Xiting Wang, Liming Jiang, José Hernández-Orallo, Luning Sun, David Stillwell, Fang Luo, Xing Xie
2023	J	`jnl`	From Instructions to Intrinsic Human Values - A Survey of Alignment Goals for Big Models. CoRR Jing Yao, Xiaoyuan Yi, Xiting Wang, Jindong Wang, Xing Xie
2023	J	`jnl`	Knowledge Plugins: Enhancing Large Language Models for Domain-Specific Recommendations. CoRR Jing Yao, Wei Xu, Jianxun Lian, Xiting Wang, Xiaoyuan Yi, Xing Xie
2023	J	`jnl`	MantaID: a machine learning-based tool to automate the identification of biological database IDs. Database J. Biol. Databases Curation Zhengpeng Zeng, Jiamin Hu, Miyuan Cao, Bingbing Li, Xiting Wang, Feng Yu, Longfei Mao
2023	A*	`conf`	Prototypical Fine-Tuning: Towards Robust Performance under Varying Data Sizes. AAAI Yiqiao Jin, Xiting Wang, Yaru Hao, Yizhou Sun, Xing Xie
2023	J	`jnl`	Reinforcement Routing on Proximity Graph for Efficient Recommendation. ACM Trans. Inf. Syst. Chao Feng, Defu Lian, Xiting Wang, Zheng Liu, Xing Xie, Enhong Chen
2023	A*	`conf`	Semi-Offline Reinforcement Learning for Optimized Text Generation. ICML Changyu Chen, Xiting Wang, Yiqiao Jin, Victor Ye Dong, Li Dong, Jie Cao, Yi Liu, Rui Yan
2023	J	`jnl`	Semi-Offline Reinforcement Learning for Optimized Text Generation. CoRR Changyu Chen, Xiting Wang, Yiqiao Jin, Victor Ye Dong, Li Dong, Jie Cao, Yi Liu, Rui Yan
2023	A*	`conf`	Towards Explainable Collaborative Filtering with Taste Clusters Learning. WWW Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie
2023	J	`jnl`	Towards Explainable Collaborative Filtering with Taste Clusters Learning. CoRR Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie
2023	J	`jnl`	Unpacking the Ethical Value Alignment in Big Models. CoRR Xiaoyuan Yi, Jing Yao, Xiting Wang, Xing Xie
2023	J	`jnl`	Value FULCRA: Mapping Large Language Models to the Multidimensional Spectrum of Basic Human Values. CoRR Jing Yao, Xiaoyuan Yi, Xiting Wang, Yifan Gong, Xing Xie
2022	J	`jnl`	A Unified Understanding of Deep NLP Models for Text Classification. CoRR Zhen Li, Xiting Wang, Weikai Yang, Jing Wu, Zhengyan Zhang, Zhiyuan Liu, Maosong Sun, Hui Zhang, Shixia Liu
2022	J	`jnl`	A Unified Understanding of Deep NLP Models for Text Classification. IEEE Trans. Vis. Comput. Graph. Zhen Li, Xiting Wang, Weikai Yang, Jing Wu, Zhengyan Zhang, Zhiyuan Liu, Maosong Sun, Hui Zhang, Shixia Liu
2022	—	`conf`	Aero-Engine Remaining Useful Life Prediction via Tensor Decomposition Method. CICAI (2) Jincen Jiang, Xiting Wang, Zhongzhi Hu
2022	A*	`conf`	Clickbait Detection via Contrastive Variational Modelling of Text and Label. IJCAI Xiaoyuan Yi, Jiarui Zhang, Wenhao Li, Xiting Wang, Xing Xie
2022	J	`jnl`	DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generation. CoRR Yuxi Feng, Xiaoyuan Yi, Xiting Wang, Laks V. S. Lakshmanan, Xing Xie
2022	—	`conf`	Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization. EMNLP (Findings) Dongmin Hyun, Xiting Wang, Chanyoung Park, Xing Xie, Hwanjo Yu
2022	J	`jnl`	Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization. CoRR Dongmin Hyun, Xiting Wang, Chanyoung Park, Xing Xie, Hwanjo Yu
2022	J	`jnl`	Machine-learning-assisted discovery of highly efficient high-entropy alloy catalysts for the oxygen reduction reaction. Patterns Xuhao Wan, Zhaofu Zhang, Wei Yu, Huan Niu, Xiting Wang, Yuzheng Guo
2022	A*	`conf`	Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning. WWW Xiting Wang, Kunpeng Liu, Dongjie Wang, Le Wu, Yanjie Fu, Xing Xie
2022	A*	`conf`	Personalized Chit-Chat Generation for Recommendation Using External Chat Corpora. KDD Changyu Chen, Xiting Wang, Xiaoyuan Yi, Fangzhao Wu, Xing Xie, Rui Yan
2022	A*	`conf`	ProFairRec: Provider Fairness-aware News Recommendation. SIGIR Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie
2022	J	`jnl`	ProFairRec: Provider Fairness-aware News Recommendation. CoRR Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie
2022	J	`jnl`	Prototypical Fine-tuning: Towards Robust Performance Under Varying Data Sizes. CoRR Yiqiao Jin, Xiting Wang, Yaru Hao, Yizhou Sun, Xing Xie
2022	J	`jnl`	Reinforcement Routing on Proximity Graph for Efficient Recommendation. CoRR Chao Feng, Defu Lian, Xiting Wang, Zheng Liu, Xing Xie, Enhong Chen
2022	A*	`conf`	Reinforcement Subgraph Reasoning for Fake News Detection. KDD Ruichao Yang, Xiting Wang, Yiqiao Jin, Chaozhuo Li, Jianxun Lian, Xing Xie
2022	A*	`conf`	Self-explaining deep models with logic rule reasoning. NeurIPS Seungeon Lee, Xiting Wang, Sungwon Han, Xiaoyuan Yi, Xing Xie, Meeyoung Cha
2022	J	`jnl`	Self-explaining deep models with logic rule reasoning. CoRR Seungeon Lee, Xiting Wang, Sungwon Han, Xiaoyuan Yi, Xing Xie, Meeyoung Cha
2022	A*	`conf`	Towards Fine-Grained Reasoning for Fake News Detection. AAAI Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, Xing Xie
2021	J	`jnl`	Deep fusion learning facilitates anatomical therapeutic chemical recognition in drug repurposing and discovery. Briefings Bioinform. Xiting Wang, Meng Liu, Yiling Zhang, Shuangshuang He, Caimeng Qin, Yu Li, Tao Lu
2021	—	`conf`	Discovering Protagonist of Sentiment with Aspect Reconstructed Capsule Network. DASFAA (2) Chi Xu, Hao Feng, Guoxin Yu, Min Yang, Xiting Wang, Yan Song, Xiang Ao
2021	A*	`conf`	Fairness-aware News Recommendation with Decomposed Adversarial Learning. AAAI Chuhan Wu, Fangzhao Wu, Xiting Wang, Yongfeng Huang, Xing Xie
2021	J	`jnl`	Interactive Graph Construction for Graph-Based Semi-Supervised Learning. IEEE Trans. Vis. Comput. Graph. Changjian Chen, Zhaowei Wang, Jing Wu, Xiting Wang, Lan-Zhe Guo, Yufeng Li, Shixia Liu
2021	J	`jnl`	Interactive Steering of Hierarchical Clustering. IEEE Trans. Vis. Comput. Graph. Weikai Yang, Xiting Wang, Jie Lu, Wenwen Dou, Shixia Liu
2021	J	`jnl`	Learning Fair Representations for Bipartite Graph based Recommendation. CoRR Le Wu, Lei Chen, Pengyang Shao, Richang Hong, Xiting Wang, Meng Wang
2021	A*	`conf`	Learning Fair Representations for Recommendation: A Graph-based Perspective. WWW Le Wu, Lei Chen, Pengyang Shao, Richang Hong, Xiting Wang, Meng Wang
2021	A*	`conf`	Learning Groupwise Explanations for Black-Box Models. IJCAI Jingyue Gao, Xiting Wang, Yasha Wang, Yulan Yan, Xing Xie
2021	—	`conf`	PENS: A Dataset and Generic Framework for Personalized News Headline Generation. ACL/IJCNLP (1) Xiang Ao, Xiting Wang, Ling Luo, Ying Qiao, Qing He, Xing Xie
2021	A*	`conf`	Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning. KDD Danyang Liu, Jianxun Lian, Zheng Liu, Xiting Wang, Guangzhong Sun, Xing Xie
2021	A*	`conf`	Reinforcing Pretrained Models for Generating Attractive Text Advertisements. KDD Xiting Wang, Xinwei Gu, Jie Cao, Zihua Zhao, Yulan Yan, Bhuvan Middha, Xing Xie
2021	J	`jnl`	Towards Fine-Grained Reasoning for Fake News Detection. CoRR Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, Xing Xie
2020	A*	`conf`	Distance Metric Learning with Joint Representation Diversification. ICML Xu Chu, Yang Lin, Yasha Wang, Xiting Wang, Hailong Yu, Xin Gao, Qi Tong
2020	J	`jnl`	Fairness-aware News Recommendation with Decomposed Adversarial Learning. CoRR Chuhan Wu, Fangzhao Wu, Xiting Wang, Yongfeng Huang, Xing Xie
2020	J	`jnl`	Interactive Steering of Hierarchical Clustering. CoRR Weikai Yang, Xiting Wang, Jie Lu, Wenwen Dou, Shixia Liu
2020	A*	`conf`	Leveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge Graphs. SIGIR Kangzhi Zhao, Xiting Wang, Yuren Zhang, Li Zhao, Zheng Liu, Chunxiao Xing, Xing Xie
2020	J	`jnl`	Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach. J. Chem. Inf. Model. Xiting Wang, Meng Liu, Lan Zhang, Yun Wang, Yu Li, Tao Lu
2020	A	`conf`	Set-Sequence-Graph: A Multi-View Approach Towards Exploiting Reviews for Recommendation. CIKM Jingyue Gao, Yang Lin, Yasha Wang, Xiting Wang, Zhao Yang, Yuanduo He, Xu Chu
2020	A*	`conf`	Towards Explainable Conversational Recommendation. IJCAI Zhongxia Chen, Xiting Wang, Xing Xie, Mehul Parsana, Akshay Soni, Xiang Ao, Enhong Chen
2019	A*	`conf`	A Neural Influence Diffusion Model for Social Recommendation. SIGIR Le Wu, Peijie Sun, Yanjie Fu, Richang Hong, Xiting Wang, Meng Wang
2019	J	`jnl`	A Neural Influence Diffusion Model for Social Recommendation. CoRR Le Wu, Peijie Sun, Yanjie Fu, Richang Hong, Xiting Wang, Meng Wang
2019	J	`jnl`	Bridging Text Visualization and Mining: A Task-Driven Survey. IEEE Trans. Vis. Comput. Graph. Shixia Liu, Xiting Wang, Christopher Collins, Wenwen Dou, Fang-Xin Ou-Yang, Mennatallah El-Assady, Liu Jiang, Daniel A. Keim
2019	A*	`conf`	CAMP: Co-Attention Memory Networks for Diagnosis Prediction in Healthcare. ICDM Jingyue Gao, Xiting Wang, Yasha Wang, Zhao Yang, Junyi Gao, Jiangtao Wang, Wen Tang, Xing Xie
2019	A*	`conf`	Co-Attentive Multi-Task Learning for Explainable Recommendation. IJCAI Zhongxia Chen, Xiting Wang, Xing Xie, Tong Wu, Guoqing Bu, Yining Wang, Enhong Chen
2019	A*	`conf`	Explainable Recommendation through Attentive Multi-View Learning. AAAI Jingyue Gao, Xiting Wang, Yasha Wang, Xing Xie
2019	—	`conf`	Neural Response Generation with Relevant Emotions for Short Text Conversation. NLPCC (1) Zhongxia Chen, Ruihua Song, Xing Xie, Jian-Yun Nie, Xiting Wang, Fuzheng Zhang, Enhong Chen
2019	A	`conf`	STAR: Spatio-Temporal Taxonomy-Aware Tag Recommendation for Citizen Complaints. CIKM Jingyue Gao, Yuanduo He, Yasha Wang, Xiting Wang, Jiangtao Wang, Guangju Peng, Xu Chu
2019	A*	`conf`	Towards a Deep and Unified Understanding of Deep Neural Models in NLP. ICML Chaoyu Guan, Xiting Wang, Quanshi Zhang, Runjin Chen, Di He, Xing Xie
2018	A*	`conf`	A Reinforcement Learning Framework for Explainable Recommendation. ICDM Xiting Wang, Yiru Chen, Jie Yang, Le Wu, Zhengtao Wu, Xing Xie
2018	J	`jnl`	PhotoRecomposer: Interactive Photo Recomposition by Cropping. IEEE Trans. Vis. Comput. Graph. Yuan Liang, Xiting Wang, Song-Hai Zhang, Shi-Min Hu, Shixia Liu
2018	J	`jnl`	SocialGCN: An Efficient Graph Convolutional Network based Model for Social Recommendation. CoRR Le Wu, Peijie Sun, Richang Hong, Yanjie Fu, Xiting Wang, Meng Wang
2018	J	`jnl`	Visual Diagnosis of Tree Boosting Methods. IEEE Trans. Vis. Comput. Graph. Shixia Liu, Jiannan Xiao, Junlin Liu, Xiting Wang, Jing Wu, Jun Zhu
2017	A*	`conf`	Improving Learning-from-Crowds through Expert Validation. IJCAI Mengchen Liu, Liu Jiang, Junlin Liu, Xiting Wang, Jun Zhu, Shixia Liu
2017	J	`jnl`	Towards Better Analysis of Machine Learning Models: A Visual Analytics Perspective. CoRR Shixia Liu, Xiting Wang, Mengchen Liu, Jun Zhu
2017	J	`jnl`	Towards better analysis of machine learning models: A visual analytics perspective. Vis. Informatics Shixia Liu, Xiting Wang, Mengchen Liu, Jun Zhu
2016	—	`conf`	How ideas flow across multiple social groups. VAST Xiting Wang, Shixia Liu, Yang Chen, Tai-Quan Peng, Jing Su, Jing Yang, Baining Guo
2016	J	`jnl`	Molecular dynamics simulations reveal the allosteric effect of F1174C resistance mutation to ceritinib in ALK-associated lung cancer. Comput. Biol. Chem. Zhong Ni, Xiting Wang, Tianchen Zhang, Rongzhong Jin
2016	J	`jnl`	Online Visual Analytics of Text Streams. IEEE Trans. Vis. Comput. Graph. Shixia Liu, Jialun Yin, Xiting Wang, Weiwei Cui, Kelei Cao, Jian Pei
2016	J	`jnl`	TopicPanorama: A Full Picture of Relevant Topics. IEEE Trans. Vis. Comput. Graph. Xiting Wang, Shixia Liu, Junlin Liu, Jianfei Chen, Jun Zhu, Baining Guo
2016	A*	`conf`	Tracking Idea Flows between Social Groups. AAAI Yangxin Zhong, Shixia Liu, Xiting Wang, Jiannan Xiao, Yangqiu Song
2015	J	`jnl`	Evolutionary Bayesian Rose Trees. IEEE Trans. Knowl. Data Eng. Shixia Liu, Xiting Wang, Yangqiu Song, Baining Guo
2015	J	`jnl`	Online Visual Analytics of Text Streams. CoRR Shixia Liu, Jialun Yin, Xiting Wang, Weiwei Cui, Kelei Cao, Jian Pei
2015	J	`jnl`	Tracking Idea Flows between Social Groups. CoRR Yangxin Zhong, Shixia Liu, Xiting Wang, Jiannan Xiao, Yangqiu Song
2014	B	`conf`	Let It Flow: A Static Method for Exploring Dynamic Graphs. PacificVis Weiwei Cui, Xiting Wang, Shixia Liu, Nathalie Henry Riche, Tara M. Madhyastha, Kwan-Liu Ma, Baining Guo
2014	—	`conf`	TopicPanorama: A full picture of relevant topics. IEEE VAST Shixia Liu, Xiting Wang, Jianfei Chen, Jim Zhu, Baining Guo
2013	A*	`conf`	Mining evolutionary multi-branch trees from text streams. KDD Xiting Wang, Shixia Liu, Yangqiu Song, Baining Guo