Zhang, Xiangliang

67 publications

NeurIPS 2025 AdaReasoner: Adaptive Reasoning Enables More Flexible Thinking Xiangqi Wang, Yue Huang, Yanbo Wang, Xiaonan Luo, Kehan Guo, Yujun Zhou, Xiangliang Zhang

NeurIPS 2025 Adaptive Distraction: Probing LLM Contextual Robustness with Automated Tree Search Yanbo Wang, Zixiang Xu, Yue Huang, Chujie Gao, Siyuan Wu, Jiayi Ye, Pin-Yu Chen, Xiuying Chen, Xiangliang Zhang

IJCAI 2025 Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction to Generation and Beyond Kehan Guo, Yili Shen, Gisela Abigail Gonzalez-Montiel, Yue Huang, Yujun Zhou, Mihir Surve, Zhichun Guo, Payel Das, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang

NeurIPS 2025 BenchmarkCards: Standardized Documentation for Large Language Model Benchmarks Anna Sokol, Elizabeth M. Daly, Michael Hind, David Piorkowski, Xiangliang Zhang, Nuno Moniz, Nitesh V Chawla

ICLRW 2025 Breaking Focus: Contextual Distraction Curse in Large Language Models Yanbo Wang, Zixiang Xu, Yue Huang, Chujie Gao, Siyuan Wu, Jiayi Ye, Xiuying Chen, Pin-Yu Chen, Xiangliang Zhang

NeurIPS 2025 ChemOrch: Empowering LLMs with Chemical Intelligence via Groundbreaking Synthetic Instructions Yue Huang, Zhengzhe Jiang, Xiaonan Luo, Kehan Guo, Haomin Zhuang, Yujun Zhou, Zhengqing Yuan, Xiaoqi Sun, Jules Schleinitz, Yanbo Wang, Shuhao Zhang, Mihir Surve, Nitesh V Chawla, Olaf Wiest, Xiangliang Zhang

ICLR 2025 DataGen: Unified Synthetic Dataset Generation via Large Language Models Yue Huang, Siyuan Wu, Chujie Gao, Dongping Chen, Qihui Zhang, Yao Wan, Tianyi Zhou, Chaowei Xiao, Jianfeng Gao, Lichao Sun, Xiangliang Zhang

NeurIPS 2025 DyFlow: Dynamic Workflow Framework for Agentic Reasoning Yanbo Wang, Zixiang Xu, Yue Huang, Xiangqi Wang, Zirui Song, Lang Gao, Chenxi Wang, Xiangru Tang, Yue Zhao, Arman Cohan, Xiangliang Zhang, Xiuying Chen

TMLR 2025 Fair Online Influence Maximization Xiangqi Wang, Shaokun Zhang, Jose Efraim Aguilar Escamilla, Qingyun Wu, Xiangliang Zhang, Jian Kang, Huazheng Wang

ICLR 2025 Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge Jiayi Ye, Yanbo Wang, Yue Huang, Dongping Chen, Qihui Zhang, Nuno Moniz, Tian Gao, Werner Geyer, Chao Huang, Pin-Yu Chen, Nitesh V Chawla, Xiangliang Zhang

AISTATS 2025 Towards Fair Graph Learning Without Demographic Information Zichong Wang, Nhat Hoang, Xingyu Zhang, Kevin Bello, Xiangliang Zhang, Sundararaja Sitharama Iyengar, Wenbin Zhang

NeurIPS 2025 TraffiDent: A Dataset for Understanding the Interplay Between Traffic Dynamics and Incidents Xiaochuan Gou, Ziyue Li, Tian Lan, Junpeng Lin, Zhishuai Li, Bingyu Zhao, Chen Zhang, Di Wang, Xiangliang Zhang

AAAI 2025 Unlocking the Potential of Black-Box Pre-Trained GNNs for Graph Few-Shot Learning Qiannan Zhang, Shichao Pei, Yuan Fang, Xiangliang Zhang

ECML-PKDD 2025 WildInsight: A Chatbot for Wildlife Conservation Research Anna Sokol, Xiangliang Zhang, Nitesh V. Chawla

ICML 2024 Attack-Free Evaluating and Enhancing Adversarial Robustness on Categorical Data Yujun Zhou, Yufei Han, Haomin Zhuang, Hongyan Bao, Xiangliang Zhang

NeurIPS 2024 Beyond Single Stationary Policies: Meta-Task Players as Naturally Superior Collaborators Haoming Wang, Zhaoming Tian, Yunpeng Song, Xiangliang Zhang, Zhongmin Cai

NeurIPS 2024 Can LLMs Solve Molecule Puzzles? a Multimodal Benchmark for Molecular Structure Elucidation Kehan Guo, Bozhao Nan, Yujun Zhou, Taicheng Guo, Zhichun Guo, Mihir Surve, Zhenwen Liang, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang

NeurIPS 2024 HonestLLM: Toward an Honest and Helpful Large Language Model Chujie Gao, Siyuan Wu, Yue Huang, Dongping Chen, Qihui Zhang, Zhengyan Fu, Yao Wan, Lichao Sun, Xiangliang Zhang

NeurIPSW 2024 Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge Jiayi Ye, Yanbo Wang, Yue Huang, Dongping Chen, Qihui Zhang, Nuno Moniz, Tian Gao, Werner Geyer, Chao Huang, Pin-Yu Chen, Nitesh V Chawla, Xiangliang Zhang

IJCAI 2024 Large Language Model Based Multi-Agents: A Survey of Progress and Challenges Taicheng Guo, Xiuying Chen, Yaqi Wang, Ruidi Chang, Shichao Pei, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang

ICML 2024 Position: TrustLLM: Trustworthiness in Large Language Models Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Yang Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao

AAAI 2024 Uncertainty-Aware Yield Prediction with Multimodal Molecular Features Jiayuan Chen, Kehan Guo, Zhen Liu, Olexandr Isayev, Xiangliang Zhang

IJCAI 2023 Character as Pixels: A Controllable Prompt Adversarial Attacking Framework for Black-Box Text Guided Image Generation Models Ziyi Kou, Shichao Pei, Yijun Tian, Xiangliang Zhang

AAAI 2023 Cross-Domain Few-Shot Graph Classification with a Reinforced Task Coordinator Qiannan Zhang, Shichao Pei, Qiang Yang, Chuxu Zhang, Nitesh V. Chawla, Xiangliang Zhang

AAAI 2023 Generalizing Math Word Problem Solvers via Solution Diversification Zhenwen Liang, Jipeng Zhang, Lei Wang, Yan Wang, Jie Shao, Xiangliang Zhang

IJCAI 2023 Graph-Based Molecular Representation Learning Zhichun Guo, Kehan Guo, Bozhao Nan, Yijun Tian, Roshni G. Iyer, Yihong Ma, Olaf Wiest, Xiangliang Zhang, Wei Wang, Chuxu Zhang, Nitesh V. Chawla

ICLR 2023 Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency Yijun Tian, Chuxu Zhang, Zhichun Guo, Xiangliang Zhang, Nitesh Chawla

AAAI 2023 Learning Towards Selective Data Augmentation for Dialogue Generation Xiuying Chen, Mingzhe Li, Jiayi Zhang, Xiaoqiang Xia, Chen Wei, Jianwei Cui, Xin Gao, Xiangliang Zhang, Rui Yan

NeurIPSW 2023 MinT: Boosting Generalization in Mathematical Reasoning via Multi-View Fine-Tuning Zhenwen Liang, Dian Yu, Xiaoman Pan, Wenlin Yao, Qingkai Zeng, Xiangliang Zhang, Dong Yu

AAAI 2023 Poisoning with Cerberus: Stealthy and Colluded Backdoor Attack Against Federated Learning Xiaoting Lyu, Yufei Han, Wei Wang, Jingkai Liu, Bin Wang, Jiqiang Liu, Xiangliang Zhang

AAAI 2023 Towards Efficient and Domain-Agnostic Evasion Attack with High-Dimensional Categorical Inputs Hongyan Bao, Yufei Han, Yujun Zhou, Xin Gao, Xiangliang Zhang

NeurIPS 2023 What Can Large Language Models Do in Chemistry? a Comprehensive Benchmark on Eight Tasks Taicheng Guo, Kehan Guo, Bozhao Nan, Zhenwen Liang, Zhichun Guo, Nitesh Chawla, Olaf Wiest, Xiangliang Zhang

IJCAI 2022 Few-Shot Learning on Graphs Chuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla, Huan Liu

AAAI 2022 GNN-Retro: Retrosynthetic Planning with Graph Neural Networks Peng Han, Peilin Zhao, Chan Lu, Junzhou Huang, Jiaxiang Wu, Shuo Shang, Bin Yao, Xiangliang Zhang

NeurIPSW 2022 NOSMOG: Learning Noise-Robust and Structure-Aware MLPs on Graphs Yijun Tian, Chuxu Zhang, Zhichun Guo, Xiangliang Zhang, Nitesh Chawla

IJCAI 2022 Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion Zhenwei Tang, Shichao Pei, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Robert Hoehndorf, Xiangliang Zhang

AAAI 2022 SAIL: Self-Augmented Graph Contrastive Learning Lu Yu, Shichao Pei, Lizhong Ding, Jun Zhou, Longfei Li, Chuxu Zhang, Xiangliang Zhang

NeurIPS 2022 Towards Improving Faithfulness in Abstractive Summarization Xiuying Chen, Mingzhe Li, Xin Gao, Xiangliang Zhang

ICLR 2022 Towards Understanding the Robustness Against Evasion Attack on Categorical Data Hongyan Bao, Yufei Han, Yujun Zhou, Yun Shen, Xiangliang Zhang

ECML-PKDD 2021 Attack Transferability Characterization for Adversarially Robust Multi-Label Classification Zhuo Yang, Yufei Han, Xiangliang Zhang

AAAI 2021 Characterizing the Evasion Attackability of Multi-Label Classifiers Zhuo Yang, Yufei Han, Xiangliang Zhang

AAAI 2021 Does Head Label Help for Long-Tailed Multi-Label Text Classification Lin Xiao, Xiangliang Zhang, Liping Jing, Chi Huang, Mingyang Song

MLJ 2021 Multiple Clusterings of Heterogeneous Information Networks Shaowei Wei, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang

ICML 2021 PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization Zhize Li, Hongyan Bao, Xiangliang Zhang, Peter Richtarik

AAAI 2021 Self-Supervised Hypergraph Convolutional Networks for Session-Based Recommendation Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, Xiangliang Zhang

IJCAI 2021 Solving Math Word Problems with Teacher Supervision Zhenwen Liang, Xiangliang Zhang

AAAI 2020 Multi-View Multiple Clusterings Using Deep Matrix Factorization Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang

AAAI 2020 Robust Federated Learning via Collaborative Machine Teaching Yufei Han, Xiangliang Zhang

NeurIPS 2020 Temporal Positive-Unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation Uchenna Akujuobi, Jun Chen, Mohamed Elhoseiny, Michael Spranger, Xiangliang Zhang

IJCAI 2020 Weakly-Supervised Multi-View Multi-Instance Multi-Label Learning Yuying Xing, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang

IJCAI 2019 ActiveHNE: Active Heterogeneous Network Embedding Xia Chen, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Zhao Li, Xiangliang Zhang

IJCAI 2019 Improving Cross-Lingual Entity Alignment via Optimal Transport Shichao Pei, Lu Yu, Xiangliang Zhang

AAAI 2019 Multi-Order Attentive Ranking Model for Sequential Recommendation Lu Yu, Chuxu Zhang, Shangsong Liang, Xiangliang Zhang

IJCAI 2019 Multi-View Multiple Clustering Shixin Yao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang

AAAI 2019 Submodular Optimization over Streams with Inhomogeneous Decays Junzhou Zhao, Shuo Shang, Pinghui Wang, John C. S. Lui, Xiangliang Zhang

IJCAI 2018 Mining Streaming and Temporal Data: From Representation to Knowledge Xiangliang Zhang

IJCAI 2018 Task-Guided and Semantic-Aware Ranking for Academic Author-Paper Correlation Inference Chuxu Zhang, Lu Yu, Xiangliang Zhang, Nitesh V. Chawla

AAAI 2018 WalkRanker: A Unified Pairwise Ranking Model with Multiple Relations for Item Recommendation Lu Yu, Chuxu Zhang, Shichao Pei, Guolei Sun, Xiangliang Zhang

ECML-PKDD 2017 Delve: A Data Set Retrieval and Document Analysis System Uchenna Akujuobi, Xiangliang Zhang

ECML-PKDD 2016 Is Attribute-Based Zero-Shot Learning an Ill-Posed Strategy? Ibrahim M. Alabdulmohsin, Moustapha Cissé, Xiangliang Zhang

MLJ 2016 Large Margin Classification with Indefinite Similarities Ibrahim M. Alabdulmohsin, Moustapha Cissé, Xin Gao, Xiangliang Zhang

AAAI 2016 Minimizing User Involvement for Learning Human Mobility Patterns from Location Traces Basma Alharbi, Abdulhakim Ali Qahtan, Xiangliang Zhang

IJCAI 2015 A Scalable Community Detection Algorithm for Large Graphs Using Stochastic Block Models Chengbin Peng, Zhihua Zhang, Ka-Chun Wong, Xiangliang Zhang, David E. Keyes

AAAI 2015 Efficient Active Learning of Halfspaces via Query Synthesis Ibrahim M. Alabdulmohsin, Xin Gao, Xiangliang Zhang

ECML-PKDD 2014 Anti-Discrimination Analysis Using Privacy Attack Strategies Salvatore Ruggieri, Sara Hajian, Faisal Kamiran, Xiangliang Zhang

AAAI 2012 A Mouse-Trajectory Based Model for Predicting Query-URL Relevance Hengjie Song, Ruoxue Liao, Xiangliang Zhang, Chunyan Miao, Qiang Yang

ECML-PKDD 2008 Data Streaming with Affinity Propagation Xiangliang Zhang, Cyril Furtlehner, Michèle Sebag