Xikun Zhang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
11
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EACL | Debiasing Large Language Models via Adaptive Causal Prompting with Sketch-of-Thought. | Bowen Li, Ziqi Xu, Jing Ren, Renqiang Luo, Xikun Zhang, Xiuzhen Zhang, Yongli Ren, Feng Xia |
| 2026 | IWCMC | Prototype-Enhanced Multi-View Learning for Thyroid Nodule Ultrasound Classification. | Yangmei Chen, Zhongyuan Zhang, Xikun Zhang, Xinyu Hao, Mingliang Hou, Renqiang Luo, Ziqi Xu |
| 2026 | WWW | When to Trust: A Causality-Aware Calibration Framework for Accurate Knowledge Graph Retrieval-Augmented Generation. | Jing Ren, Bowen Li, Ziqi Xu, Xikun Zhang, Haytham M. Fayek, Xiaodong Li |
| 2025 | EMNLP | Crisp: Cognitive Restructuring of Negative Thoughts through Multi-turn Supportive Dialogues. | Jinfeng Zhou, Yuxuan Chen, Jianing Yin, Yongkang Huang, Yihan Shi, Xikun Zhang, Libiao Peng, Rongsheng Zhang, Tangjie Lv, Zhipeng Hu, Hongning Wang, Minlie Huang |
| 2025 | ICCV | MMReason: An Open-Ended Multi-Modal Multi-Step Reasoning Benchmark for MLLMs Toward AGI. | Huanjin Yao, Jiaxing Huang, Yawen Qiu, Michael K. Chen, Wenzheng Liu, Wei Zhang, Wenjie Zeng, Xikun Zhang, Jingyi Zhang, YuXin Song, Wenhao Wu, Dacheng Tao |
| 2025 | ICCV | R1-VL: Learning to Reason with Multimodal Large Language Models via Step-Wise Group Relative Policy Optimization. | Jingyi Zhang, Jiaxing Huang, Huanjin Yao, Shunyu Liu, Xikun Zhang, Shijian Lu, Dacheng Tao |
| 2025 | ICLR | Learning system dynamics without forgetting. | Xikun Zhang, Dongjin Song, Yushan Jiang, Yixin Chen, Dacheng Tao |
| 2024 | IJCAI | Empowering Time Series Analysis with Large Language Models: A Survey. | Yushan Jiang, Zijie Pan, Xikun Zhang, Sahil Garg, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song |
| 2024 | KDD | Topology-aware Embedding Memory for Continual Learning on Expanding Networks. | Xikun Zhang, Dongjin Song, Yixin Chen, Dacheng Tao |
| 2023 | WWW | Tutorials at The Web Conference 2023. | Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espn-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Kk-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne R. Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu |
| 2022 | ICDM | Sparsified Subgraph Memory for Continual Graph Representation Learning. | Xikun Zhang, Dongjin Song, Dacheng Tao |
| 2022 | ICLR | GreaseLM: Graph REASoning Enhanced Language Models. | Xikun Zhang, Antoine Bosselut, Michihiro Yasunaga, Hongyu Ren, Percy Liang, Christopher D. Manning, Jure Leskovec |
| 2020 | CVPR | Context Aware Graph Convolution for Skeleton-Based Action Recognition. | Xikun Zhang, Chang Xu, Dacheng Tao |
| 2020 | ECCV | On Dropping Clusters to Regularize Graph Convolutional Neural Networks. | Xikun Zhang, Chang Xu, Dacheng Tao |
| 2020 | EMNLP | Do Language Embeddings capture Scales? | Xikun Zhang, Deepak Ramachandran, Ian Tenney, Yanai Elazar, Dan Roth |
| 2019 | KDD | Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks. | Srijan Kumar, Xikun Zhang, Jure Leskovec |
| 2018 | KDD | TruePIE: Discovering Reliable Patterns in Pattern-Based Information Extraction. | Qi Li, Meng Jiang, Xikun Zhang, Meng Qu, Timothy P. Hanratty, Jing Gao, Jiawei Han |