Xiangliang Zhang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
197
Venues
38
Active years
2004–2026
Best venue rank
A*
Where they publish
- A*AAAI24 papers
- ACIKM19 papers
- A*KDD17 papers
- A*ACL16 papers
- A*ICDM15 papers
- A*IJCAI14 papers
- A*EMNLP13 papers
- A*WWW11 papers
- A*ICDE10 papers
- AWSDM6 papers
- BDASFAA6 papers
- BPAKDD5 papers
- A*ICLR4 papers
- A*SIGIR4 papers
- ASDM4 papers
- MulticonferenceICASSP3 papers
- A*ICML3 papers
- ANAACL2 papers
- MulticonferenceSAC2 papers
- A*CHI1 paper
- AAISTATS1 paper
- BCOLING1 paper
- BIJCNLP1 paper
- BLREC1 paper
- AACSAC1 paper
- CACML1 paper
- AECAI1 paper
- BEDBT1 paper
- A*INFOCOM1 paper
- BICPR1 paper
- BICTAI1 paper
- BNOMS1 paper
- CTIME1 paper
- BEuroPar1 paper
- CADMA1 paper
- NationalICISS1 paper
- BCCGRID1 paper
- CISNN1 paper
Papers
197 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | SPA: Achieving Consensus in LLM Alignment via Self-Priority Optimization. | Yue Huang, Xiangqi Wang, Xiangliang Zhang |
| 2026 | AAAI | Better Datasets Start from RefineLab: Automatic Optimization for High-Quality Dataset Refinement. | Xiaonan Luo, Yue Huang, Ping He, Xiangliang Zhang |
| 2026 | AAAI | RMO: Towards Better LLM Alignment via Reshaping Reward Margin Distributions. | Yanchi Ru, Yue Huang, Xiangliang Zhang |
| 2026 | AAAI | Adaptive and Context-rich Generative Self-supervised Learning on Graphs. | Yijun Tian, Chuxu Zhang, Ziyi Kou, Zheyuan Liu, Xiangliang Zhang, Nitesh V. Chawla |
| 2026 | ACL | PolicyLLM: Towards Excellent Comprehension of Public Policy for Large Language Models. | Han Bao, Penghao Zhang, Yue Huang, Zhengqing Yuan, Yanchi Ru, S. U. Rui, Yujun Zhou, Xiangqi Wang, Kehan Guo, Nitesh V. Chawla, Yanfang Ye, Xiangliang Zhang |
| 2026 | ACL | MTSQL-R1: Towards Long-Horizon Multi-Turn Text-to-SQL via Agentic Training. | Taicheng Guo, Hai Wang, Chaochun Liu, Mohsen Golalikhani, Xin Chen, Xiangliang Zhang, Chandan K. Reddy |
| 2026 | ACL | Guardian-as-an-Advisor: Advancing Next-Generation Guardian Models for Trustworthy LLMs. | Yue Huang, Haomin Zhuang, Jiayi Ye, Han Bao, Yanbo Wang, Hang Hua, Siyuan Wu, Pin-Yu Chen, Xiangliang Zhang |
| 2026 | ACL | RiskLab: A Controlled Toolkit for Probing Emergent Risks in LLM-Based Multi-Agent Systems. | Yu Jiang, Wenjie Wang, Yue Huang, Yanbo Wang, Zhenhong Zhou, Xiuying Chen, Yang Liu, Pin-Yu Chen, Wei Wang, Xiangliang Zhang |
| 2026 | ACL | Too Correct to Learn: Reinforcement Learning on Saturated Reasoning Data. | Zhenwen Liang, Yujun Zhou, Sidi Lu, Xiangliang Zhang, Haitao Mi, Dong Yu |
| 2026 | ACL | A Survey of Multimodal Mathematical Reasoning: From Perception, Alignment to Reasoning. | Tianyu Yang, Sihong Wu, Yilun Zhao, Zhenwen Liang, Lisen Dai, Chen Zhao, Minhao Cheng, Arman Cohan, Xiangliang Zhang |
| 2026 | CHI | My Favorite Streamer is an LLM: Discovering, Bonding, and Co-Creating in AI VTuber Fandom. | Jiayi Ye, Chaoran Chen, Yue Huang, Yanfang Ye, Toby Jia-Jun Li, Xiangliang Zhang |
| 2026 | WWW | IntraAI: Bridging Human-AI Understanding Through Intelligent Interface Design. | Han Bao, Yue Huang, Xiangliang Zhang, Yanfang Ye |
| 2025 | AAAI | Unlocking the Potential of Black-box Pre-trained GNNs for Graph Few-shot Learning. | Qiannan Zhang, Shichao Pei, Yuan Fang, Xiangliang Zhang |
| 2025 | ACL | Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models. | Lang Gao, Jiahui Geng, Xiangliang Zhang, Preslav Nakov, Xiuying Chen |
| 2025 | ACL | Beyond Single-Value Metrics: Evaluating and Enhancing LLM Unlearning with Cognitive Diagnosis. | Yicheng Lang, Kehan Guo, Yue Huang, Yujun Zhou, Haomin Zhuang, Tianyu Yang, Yao Su, Xiangliang Zhang |
| 2025 | ACL | Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models. | Zixiang Xu, Yanbo Wang, Yue Huang, Xiuying Chen, Jieyu Zhao, Meng Jiang, Xiangliang Zhang |
| 2025 | ACL | CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIP. | Tianyu Yang, Lisen Dai, Xiangqi Wang, Minhao Cheng, Yapeng Tian, Xiangliang Zhang |
| 2025 | ACL | SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs? | Haomin Zhuang, Yihua Zhang, Kehan Guo, Jinghan Jia, Gaowen Liu, Sijia Liu, Xiangliang Zhang |
| 2025 | AISTATS | Towards Fair Graph Learning without Demographic Information. | Zichong Wang, Nhat Hoang, Xingyu Zhang, Kevin Bello, Xiangliang Zhang, Sundararaja Sitharama Iyengar, Wenbin Zhang |
| 2025 | CIKM | Socially Responsible and Trustworthy Generative Foundation Models: Principles, Challenges, and Practices. | Yue Huang, Canyu Chen, Lu Cheng, Bhavya Kailkhura, Nitesh V. Chawla, Xiangliang Zhang |
| 2025 | CIKM | Jailbreaking LLMs Through Alignment Vulnerabilities in Out-of-Distribution Settings. | Yue Huang, Jingyu Tang, Dongping Chen, Bingda Tang, Yao Wan, Lichao Sun, Philip S. Yu, Xiangliang Zhang |
| 2025 | CIKM | Think it Image by Image: Multi-Image Moral Reasoning of Large Vision-Language Models. | Chujie Gao, Yue Huang, Xiangqi Wang, Siyuan Wu, Nitesh V. Chawla, Xiangliang Zhang |
| 2025 | CIKM | Proto-Yield: An Uncertainty-Aware Prototype Network for Yield Prediction in Real-world Chemical Reactions. | Kehan Guo, Zhen Liu, Zhichun Guo, Bozhao Nan, Olexandr Isayev, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang |
| 2025 | CIKM | Generative Models for Synthetic Data: Transforming Data Mining in the GenAI Era. | Dawei Li, Yue Huang, Ming Li, Tianyi Zhou, Xiangliang Zhang, Huan Liu |
| 2025 | CIKM | Towards Few-shot Chemical Reaction Outcome Prediction. | Yili Shen, Yijun Tian, Cheng-Wei Ju, Olaf Wiest, Xiangliang Zhang |
| 2025 | EMNLP | Invisible Entropy: Towards Safe and Efficient Low-Entropy LLM Watermarking. | Tianle Gu, Zongqi Wang, Kexin Huang, Yuanqi Yao, Xiangliang Zhang, Yujiu Yang, Xiuying Chen |
| 2025 | EMNLP | Quest2DataAgent: Automating End-to-End Scientific Data Collection. | Tianyu Yang, Yuhan Liu, Sobin Alosious, Ethan A. Brown, Jason R. Rohr, Tengfei Luo, Xiangliang Zhang |
| 2025 | EMNLP | Dissecting Logical Reasoning in LLMs: A Fine-Grained Evaluation and Supervision Study. | Yujun Zhou, Jiayi Ye, Zipeng Ling, Yufei Han, Yue Huang, Haomin Zhuang, Zhenwen Liang, Kehan Guo, Taicheng Guo, Xiangqi Wang, Xiangliang Zhang |
| 2025 | ICDM | Leveraging Hybrid Representations for Robust Molecular Property Prediction in Low-Data Regimes. | Alex Liu, Haomin Zhuang, Olaf Wiest, Ying Cheng, Xiangliang Zhang |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2025 | IJCAI | 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 |
| 2025 | KDD | AI4DE: The 1st International Workshop on AI for Data Editing. | Yanjie Fu, Kunpeng Liu, Dongjie Wang, Xiangliang Zhang, Khalid K. Osman, Charu Aggarwal, Suzanne M. Shontz, Huan Liu, Jian Pei |
| 2025 | NAACL | TRUSTEVAL: A Dynamic Evaluation Toolkit on Trustworthiness of Generative Foundation Models. | Yanbo Wang, Jiayi Ye, Siyuan Wu, Chujie Gao, Yue Huang, Xiuying Chen, Yue Zhao, Xiangliang Zhang |
| 2025 | WWW | UICopilot: Automating UI Synthesis via Hierarchical Code Generation from Webpage Designs. | Yi Gui, Yao Wan, Zhen Li, Zhongyi Zhang, Dongping Chen, Hongyu Zhang, Yi Su, Bohua Chen, Xing Zhou, Wenbin Jiang, Xiangliang Zhang |
| 2025 | WWW | WebCode2M: A Real-World Dataset for Code Generation from Webpage Designs. | Yi Gui, Zhen Li, Yao Wan, Yemin Shi, Hongyu Zhang, Bohua Chen, Yi Su, Dongping Chen, Siyuan Wu, Xing Zhou, Wenbin Jiang, Hai Jin, Xiangliang Zhang |
| 2025 | WSDM | WildlifeLookup: A Chatbot Facilitating Wildlife Management with Accessible Data and Insights. | Xiangqi Wang, Tianyu Yang, Jason R. Rohr, Brett Scheffers, Nitesh V. Chawla, Xiangliang Zhang |
| 2024 | AAAI | Uncertainty-Aware Yield Prediction with Multimodal Molecular Features. | Jiayuan Chen, Kehan Guo, Zhen Liu, Olexandr Isayev, Xiangliang Zhang |
| 2024 | ACL | SceMQA: A Scientific College Entrance Level Multimodal Question Answering Benchmark. | Zhenwen Liang, Kehan Guo, Gang Liu, Taicheng Guo, Yujun Zhou, Tianyu Yang, Jiajun Jiao, Renjie Pi, Jipeng Zhang, Xiangliang Zhang |
| 2024 | CIKM | Application of Large Language Models in Chemistry Reaction Data Extraction and Cleaning. | Xiaobao Huang, Mihir Surve, Yuhan Liu, Tengfei Luo, Olaf Wiest, Xiangliang Zhang, Nitesh V. Chawla |
| 2024 | CIKM | FaDE: A Face Segment Driven Identity Anonymization Framework For Fair Face Recognition. | Ziyi Kou, Yijun Tian, Meng Jiang, Xiangliang Zhang |
| 2024 | COLING | 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 |
| 2024 | EMNLP | Defending Jailbreak Prompts via In-Context Adversarial Game. | Yujun Zhou, Yufei Han, Haomin Zhuang, Kehan Guo, Zhenwen Liang, Hongyan Bao, Xiangliang Zhang |
| 2024 | EMNLP | 1+1\textgreater2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators? | Yue Huang, Chenrui Fan, Yuan Li, Siyuan Wu, Tianyi Zhou, Xiangliang Zhang, Lichao Sun |
| 2024 | EMNLP | RAt: Injecting Implicit Bias for Text-To-Image Prompt Refinement Models. | Ziyi Kou, Shichao Pei, Meng Jiang, Xiangliang Zhang |
| 2024 | EMNLP | SaSR-Net: Source-Aware Semantic Representation Network for Enhancing Audio-Visual Question Answering. | Tianyu Yang, Yiyang Nan, Lisen Dai, Zhenwen Liang, Yapeng Tian, Xiangliang Zhang |
| 2024 | ICASSP | Think as People: Context-Driven Multi-Image News Captioning with Adaptive Dual Attention. | Qiang Yang, Xiaodong Wu, Xiuying Chen, Xin Gao, Xiangliang Zhang |
| 2024 | ICASSP | A Property-Guided Diffusion Model For Generating Molecular Graphs. | Changsheng Ma, Taicheng Guo, Qiang Yang, Xiuying Chen, Xin Gao, Shangsong Liang, Nitesh V. Chawla, Xiangliang Zhang |
| 2024 | ICML | Attack-free Evaluating and Enhancing Adversarial Robustness on Categorical Data. | Yujun Zhou, Yufei Han, Haomin Zhuang, Hongyan Bao, Xiangliang Zhang |
| 2024 | ICML | 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 C. 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 Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao |
| 2024 | IJCAI | 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 |
| 2024 | KDD | LeMon: Automating Portrait Generation for Zero-Shot Story Visualization with Multi-Character Interactions. | Ziyi Kou, Shichao Pei, Xiangliang Zhang |
| 2024 | KDD | Cross-Context Backdoor Attacks against Graph Prompt Learning. | Xiaoting Lyu, Yufei Han, Wei Wang, Hangwei Qian, Ivor W. Tsang, Xiangliang Zhang |
| 2024 | WWW | Are we Making Much Progress? Revisiting Chemical Reaction Yield Prediction from an Imbalanced Regression Perspective. | Yihong Ma, Xiaobao Huang, Bozhao Nan, Nuno Moniz, Xiangliang Zhang, Olaf Wiest, Nitesh V. Chawla |
| 2024 | SIGIR | Flexible and Adaptable Summarization via Expertise Separation. | Xiuying Chen, Mingzhe Li, Shen Gao, Xin Cheng, Qingqing Zhu, Rui Yan, Xin Gao, Xiangliang Zhang |
| 2023 | AAAI | Towards Efficient and Domain-Agnostic Evasion Attack with High-Dimensional Categorical Inputs. | Hongyan Bao, Yufei Han, Yujun Zhou, Xin Gao, Xiangliang Zhang |
| 2023 | AAAI | 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 |
| 2023 | AAAI | Generalizing Math Word Problem Solvers via Solution Diversification. | Zhenwen Liang, Jipeng Zhang, Lei Wang, Yan Wang, Jie Shao, Xiangliang Zhang |
| 2023 | AAAI | 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 |
| 2023 | AAAI | Cross-Domain Few-Shot Graph Classification with a Reinforced Task Coordinator. | Qiannan Zhang, Shichao Pei, Qiang Yang, Chuxu Zhang, Nitesh V. Chawla, Xiangliang Zhang |
| 2023 | ACL | Improving the Robustness of Summarization Systems with Dual Augmentation. | Xiuying Chen, Guodong Long, Chongyang Tao, Mingzhe Li, Xin Gao, Chengqi Zhang, Xiangliang Zhang |
| 2023 | ACL | Compositional Mathematical Encoding for Math Word Problems. | Zhenwen Liang, Jipeng Zhang, Kehan Guo, Xiaodong Wu, Jie Shao, Xiangliang Zhang |
| 2023 | ACL | Few-shot Low-resource Knowledge Graph Completion with Reinforced Task Generation. | Shichao Pei, Qiannan Zhang, Xiangliang Zhang |
| 2023 | CIKM | Modeling Sequential Collaborative User Behaviors For Seller-Aware Next Basket Recommendation. | Ziyi Kou, Saurav Manchanda, Shih-Ting Lin, Min Xie, Haixun Wang, Xiangliang Zhang |
| 2023 | EMNLP | Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation. | Zhenwen Liang, Wenhao Yu, Tanmay Rajpurohit, Peter Clark, Xiangliang Zhang, Ashwin Kalyan |
| 2023 | EMNLP | UniMath: A Foundational and Multimodal Mathematical Reasoner. | Zhenwen Liang, Tianyu Yang, Jipeng Zhang, Xiangliang Zhang |
| 2023 | ICDE | T-PAIR: Temporal Node pair Embedding for Automatic Biomedical Hypothesis Generation (Extended abstract). | Uchenna Akujuobi, Michael Spranger, Sucheendra K. Palaniappan, Xiangliang Zhang |
| 2023 | ICLR | Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency. | Yijun Tian, Chuxu Zhang, Zhichun Guo, Xiangliang Zhang, Nitesh V. Chawla |
| 2023 | IJCAI | 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 |
| 2023 | IJCAI | 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 |
| 2023 | IJCNLP | Don't be Blind to Questions: Question-Oriented Math Word Problem Solving. | Zhenwen Liang, Jipeng Zhang, Xiangliang Zhang |
| 2023 | KDD | Counterfactual Learning on Heterogeneous Graphs with Greedy Perturbation. | Qiang Yang, Changsheng Ma, Qiannan Zhang, Xin Gao, Chuxu Zhang, Xiangliang Zhang |
| 2023 | KDD | Few-shot Low-resource Knowledge Graph Completion with Multi-view Task Representation Generation. | Shichao Pei, Ziyi Kou, Qiannan Zhang, Xiangliang Zhang |
| 2023 | WWW | Few-shot News Recommendation via Cross-lingual Transfer. | Taicheng Guo, Lu Yu, Basem Shihada, Xiangliang Zhang |
| 2023 | SIGIR | A Topic-aware Summarization Framework with Different Modal Side Information. | Xiuying Chen, Mingzhe Li, Shen Gao, Xin Cheng, Qiang Yang, Qishen Zhang, Xin Gao, Xiangliang Zhang |
| 2023 | SIGIR | LogicRec: Recommendation with Users' Logical Requirements. | Zhenwei Tang, Griffin Floto, Armin Toroghi, Shichao Pei, Xiangliang Zhang, Scott Sanner |
| 2023 | WSDM | Telecommunication Traffic Forecasting via Multi-task Learning. | Xiaochuan Gou, Xiangliang Zhang |
| 2023 | WSDM | Interpretable Research Interest Shift Detection with Temporal Heterogeneous Graphs. | Qiang Yang, Changsheng Ma, Qiannan Zhang, Xin Gao, Chuxu Zhang, Xiangliang Zhang |
| 2022 | AAAI | GNN-Retro: Retrosynthetic Planning with Graph Neural Networks. | Peng Han, Peilin Zhao, Chan Lu, Junzhou Huang, Jiaxiang Wu, Shuo Shang, Bin Yao, Xiangliang Zhang |
| 2022 | AAAI | SAIL: Self-Augmented Graph Contrastive Learning. | Lu Yu, Shichao Pei, Lizhong Ding, Jun Zhou, Longfei Li, Chuxu Zhang, Xiangliang Zhang |
| 2022 | CIKM | A Biased Sampling Method for Imbalanced Personalized Ranking. | Lu Yu, Shichao Pei, Feng Zhu, Longfei Li, Jun Zhou, Chuxu Zhang, Xiangliang Zhang |
| 2022 | CIKM | Generative Adversarial Zero-Shot Learning for Cold-Start News Recommendation. | Manal A. Alshehri, Xiangliang Zhang |
| 2022 | CIKM | DEMO: Disentangled Molecular Graph Generation via an Invertible Flow Model. | Changsheng Ma, Qiang Yang, Xin Gao, Xiangliang Zhang |
| 2022 | CIKM | Look Twice as Much as You Say: Scene Graph Contrastive Learning for Self-Supervised Image Caption Generation. | Chunhui Zhang, Chao Huang, Youhuan Li, Xiangliang Zhang, Yanfang Ye, Chuxu Zhang |
| 2022 | EMNLP | Scientific Paper Extractive Summarization Enhanced by Citation Graphs. | Xiuying Chen, Mingzhe Li, Shen Gao, Rui Yan, Xin Gao, Xiangliang Zhang |
| 2022 | EMNLP | Analogical Math Word Problems Solving with Enhanced Problem-Solution Association. | Zhenwen Liang, Jipeng Zhang, Xiangliang Zhang |
| 2022 | EMNLP | ArtELingo: A Million Emotion Annotations of WikiArt with Emphasis on Diversity over Language and Culture. | Youssef Mohamed, Mohamed Abdelfattah, Shyma Alhuwaider, Feifan Li, Xiangliang Zhang, Kenneth Church, Mohamed Elhoseiny |
| 2022 | ICDE | Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning (Extended Abstract). | Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang, Hao Wang |
| 2022 | ICDE | Set-aware Entity Synonym Discovery with Flexible Receptive Fields (Extended Abstract). | Shichao Pei, Lu Yu, Xiangliang Zhang |
| 2022 | ICLR | Towards Understanding the Robustness Against Evasion Attack on Categorical Data. | Hongyan Bao, Yufei Han, Yujun Zhou, Yun Shen, Xiangliang Zhang |
| 2022 | IJCAI | 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 |
| 2022 | IJCAI | Few-Shot Learning on Graphs. | Chuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla, Huan Liu |
| 2022 | KDD | Data-Driven Oracle Bone Rejoining: A Dataset and Practical Self-Supervised Learning Scheme. | Chongsheng Zhang, Bin Wang, Ke Chen, Ruixing Zong, Bofeng Mo, Yi Men, George Almpanidis, Shanxiong Chen, Xiangliang Zhang |
| 2022 | KDD | Few-shot Heterogeneous Graph Learning via Cross-domain Knowledge Transfer. | Qiannan Zhang, Xiaodong Wu, Qiang Yang, Chuxu Zhang, Xiangliang Zhang |
| 2022 | LREC | ArMATH: a Dataset for Solving Arabic Math Word Problems. | Reem Alghamdi, Zhenwen Liang, Xiangliang Zhang |
| 2022 | NAACL | MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving. | Zhenwen Liang, Jipeng Zhang, Lei Wang, Wei Qin, Yunshi Lan, Jie Shao, Xiangliang Zhang |
| 2022 | WWW | Graph Alignment with Noisy Supervision. | Shichao Pei, Lu Yu, Guoxian Yu, Xiangliang Zhang |
| 2022 | SIGIR | Target-aware Abstractive Related Work Generation with Contrastive Learning. | Xiuying Chen, Hind Alamro, Mingzhe Li, Shen Gao, Rui Yan, Xin Gao, Xiangliang Zhang |
| 2022 | WSDM | Interpretable Relation Learning on Heterogeneous Graphs. | Qiang Yang, Qiannan Zhang, Chuxu Zhang, Xiangliang Zhang |
| 2022 | SDM | HG-Meta: Graph Meta-learning over Heterogeneous Graphs. | Qiannan Zhang, Xiaodong Wu, Qiang Yang, Chuxu Zhang, Xiangliang Zhang |
| 2021 | AAAI | Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation. | Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, Xiangliang Zhang |
| 2021 | AAAI | Does Head Label Help for Long-Tailed Multi-Label Text Classification. | Lin Xiao, Xiangliang Zhang, Liping Jing, Chi Huang, Mingyang Song |
| 2021 | AAAI | Characterizing the Evasion Attackability of Multi-label Classifiers. | Zhuo Yang, Yufei Han, Xiangliang Zhang |
| 2021 | ACL | Capturing Relations between Scientific Papers: An Abstractive Model for Related Work Section Generation. | Xiuying Chen, Hind Alamro, Mingzhe Li, Shen Gao, Xiangliang Zhang, Dongyan Zhao, Rui Yan |
| 2021 | CIKM | GF-VAE: A Flow-based Variational Autoencoder for Molecule Generation. | Changsheng Ma, Xiangliang Zhang |
| 2021 | EMNLP | Data-Efficient Language Shaped Few-shot Image Classification. | Zhenwen Liang, Xiangliang Zhang |
| 2021 | ICDE | DDHH: A Decentralized Deep Learning Framework for Large-scale Heterogeneous Networks. | Mubashir Imran, Hongzhi Yin, Tong Chen, Zi Huang, Xiangliang Zhang, Kai Zheng |
| 2021 | ICML | PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization. | Zhize Li, Hongyan Bao, Xiangliang Zhang, Peter Richtrik |
| 2021 | IJCAI | Solving Math Word Problems with Teacher Supervision. | Zhenwen Liang, Xiangliang Zhang |
| 2021 | KDD | A Graph-based Approach for Trajectory Similarity Computation in Spatial Networks. | Peng Han, Jin Wang, Di Yao, Shuo Shang, Xiangliang Zhang |
| 2021 | KDD | Socially-Aware Self-Supervised Tri-Training for Recommendation. | Junliang Yu, Hongzhi Yin, Min Gao, Xin Xia, Xiangliang Zhang, Nguyen Quoc Viet Hung |
| 2021 | PAKDD | FARF: A Fair and Adaptive Random Forests Classifier. | Wenbin Zhang, Albert Bifet, Xiangliang Zhang, Jeremy C. Weiss, Wolfgang Nejdl |
| 2021 | WWW | Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation. | Junliang Yu, Hongzhi Yin, Jundong Li, Qinyong Wang, Nguyen Quoc Viet Hung, Xiangliang Zhang |
| 2021 | WWW | Graph Embedding for Recommendation against Attribute Inference Attacks. | Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Lizhen Cui, Xiangliang Zhang |
| 2021 | SDM | Deep Multi-type Objects Muli-view Multi-instance Multi-label Learning. | Yuanlin Yang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang |
| 2020 | AAAI | Robust Federated Learning via Collaborative Machine Teaching. | Yufei Han, Xiangliang Zhang |
| 2020 | AAAI | Multi-View Multiple Clusterings Using Deep Matrix Factorization. | Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang |
| 2020 | DASFAA | Decentralized Embedding Framework for Large-Scale Networks. | Mubashir Imran, Hongzhi Yin, Tong Chen, Yingxia Shao, Xiangliang Zhang, Xiaofang Zhou |
| 2020 | ICASSP | Risk Convergence of Centered Kernel Ridge Regression with Large Dimensional Data. | Khalil Elkhalil, Abla Kammoun, Xiangliang Zhang, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri |
| 2020 | ICDM | Deep Incomplete Multi-View Multiple Clusterings. | Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang |
| 2020 | ICDM | Meta-path Hierarchical Heterogeneous Graph Convolution Network for High Potential Scholar Recognition. | Yiqing Wu, Ying Sun, Fuzhen Zhuang, Deqing Wang, Xiangliang Zhang, Qing He |
| 2020 | ICDM | Multi-typed Objects Multi-view Multi-instance Multi-label Learning. | Yuanlin Yang, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang |
| 2020 | ICDM | Partial Multi-label Learning using Label Compression. | Tingting Yu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang |
| 2020 | IJCAI | Weakly-Supervised Multi-view Multi-instance Multi-label Learning. | Yuying Xing, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang |
| 2020 | KDD | REA: Robust Cross-lingual Entity Alignment Between Knowledge Graphs. | Shichao Pei, Lu Yu, Guoxian Yu, Xiangliang Zhang |
| 2020 | KDD | Attackability Characterization of Adversarial Evasion Attack on Discrete Data. | Yutong Wang, Yufei Han, Hongyan Bao, Yun Shen, Fenglong Ma, Jin Li, Xiangliang Zhang |
| 2020 | KDD | Multi-modal Network Representation Learning. | Chuxu Zhang, Meng Jiang, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla |
| 2020 | WSDM | Recurrent Attention Walk for Semi-supervised Classification. | Uchenna Akujuobi, Qiannan Zhang, Yufei Han, Xiangliang Zhang |
| 2020 | SDM | Attention-Aware Answers of the Crowd. | Jingzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang |
| 2019 | AAAI | Multi-Order Attentive Ranking Model for Sequential Recommendation. | Lu Yu, Chuxu Zhang, Shangsong Liang, Xiangliang Zhang |
| 2019 | AAAI | Submodular Optimization over Streams with Inhomogeneous Decays. | Junzhou Zhao, Shuo Shang, Pinghui Wang, John C. S. Lui, Xiangliang Zhang |
| 2019 | CIKM | In2Rec: Influence-based Interpretable Recommendation. | Huafeng Liu, Jingxuan Wen, Liping Jing, Jian Yu, Xiangliang Zhang, Min Zhang |
| 2019 | DASFAA | Selective Matrix Factorization for Multi-relational Data Fusion. | Yuehui Wang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Xiangliang Zhang, Maozu Guo |
| 2019 | DASFAA | SeqST-ResNet: A Sequential Spatial Temporal ResNet for Task Prediction in Spatial Crowdsourcing. | Dongjun Zhai, An Liu, Shicheng Chen, Zhixu Li, Xiangliang Zhang |
| 2019 | ICDE | Utilizing Dynamic Properties of Sharing Bits and Registers to Estimate User Cardinalities Over Time. | Pinghui Wang, Peng Jia, Xiangliang Zhang, Jing Tao, Xiaohong Guan, Don Towsley |
| 2019 | ICDE | Tracking Influential Nodes in Time-Decaying Dynamic Interaction Networks. | Junzhou Zhao, Shuo Shang, Pinghui Wang, John C. S. Lui, Xiangliang Zhang |
| 2019 | ICDM | Collaborative Graph Walk for Semi-Supervised Multi-label Node Classification. | Uchenna Akujuobi, Yufei Han, Qiannan Zhang, Xiangliang Zhang |
| 2019 | ICDM | Dataset Recommendation via Variational Graph Autoencoder. | Basmah Altaf, Uchenna Akujuobi, Lu Yu, Xiangliang Zhang |
| 2019 | ICDM | AMENDER: An Attentive and Aggregate Multi-layered Network for Dataset Recommendation. | Yujun Chen, Yuanhong Wang, Yutao Zhang, Juhua Pu, Xiangliang Zhang |
| 2019 | ICDM | Cross-Modal Zero-Shot Hashing. | Xuanwu Liu, Zhao Li, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang |
| 2019 | IJCAI | ActiveHNE: Active Heterogeneous Network Embedding. | Xia Chen, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Zhao Li, Xiangliang Zhang |
| 2019 | IJCAI | Improving Cross-lingual Entity Alignment via Optimal Transport. | Shichao Pei, Lu Yu, Xiangliang Zhang |
| 2019 | IJCAI | Multi-View Multiple Clustering. | Shixin Yao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang |
| 2019 | KDD | Interview Choice Reveals Your Preference on the Market: To Improve Job-Resume Matching through Profiling Memories. | Rui Yan, Ran Le, Yang Song, Tao Zhang, Xiangliang Zhang, Dongyan Zhao |
| 2019 | PAKDD | A Novel Framework for Node/Edge Attributed Graph Embedding. | Guolei Sun, Xiangliang Zhang |
| 2019 | WWW | Semi-Supervised Entity Alignment via Knowledge Graph Embedding with Awareness of Degree Difference. | Shichao Pei, Lu Yu, Robert Hoehndorf, Xiangliang Zhang |
| 2019 | WSDM | Co-Embedding Attributed Networks. | Zaiqiao Meng, Shangsong Liang, Hongyan Bao, Xiangliang Zhang |
| 2018 | AAAI | WalkRanker: A Unified Pairwise Ranking Model With Multiple Relations for Item Recommendation. | Lu Yu, Chuxu Zhang, Shichao Pei, Guolei Sun, Xiangliang Zhang |
| 2018 | ICDE | KDE-Track: An Efficient Dynamic Density Estimator for Data Streams (Extended Abstract). | Abdulhakim Ali Qahtan, Suojin Wang, Xiangliang Zhang |
| 2018 | ICDE | MOSS-5: A Fast Method of Approximating Counts of 5-Node Graphlets in Large Graphs (Extended Abstract). | Pinghui Wang, Junzhou Zhao, Xiangliang Zhang, Zhenguo Li, Jiefeng Cheng, John C. S. Lui, Don Towsley, Xiaohong Guan |
| 2018 | IJCAI | Mining Streaming and Temporal Data: from Representation to Knowledge. | Xiangliang Zhang |
| 2018 | IJCAI | Task-Guided and Semantic-Aware Ranking for Academic Author-Paper Correlation Inference. | Chuxu Zhang, Lu Yu, Xiangliang Zhang, Nitesh V. Chawla |
| 2018 | KDD | Multi-label Learning with Highly Incomplete Data via Collaborative Embedding. | Yufei Han, Guolei Sun, Yun Shen, Xiangliang Zhang |
| 2018 | KDD | Dynamic Embeddings for User Profiling in Twitter. | Shangsong Liang, Xiangliang Zhang, Zhaochun Ren, Evangelos Kanoulas |
| 2018 | PAKDD | Randomizing SVM Against Adversarial Attacks Under Uncertainty. | Yan Chen, Wei Wang, Xiangliang Zhang |
| 2018 | WWW | Camel: Content-Aware and Meta-path Augmented Metric Learning for Author Identification. | Chuxu Zhang, Chao Huang, Lu Yu, Xiangliang Zhang, Nitesh V. Chawla |
| 2017 | ACSAC | Marmite: Spreading Malicious File Reputation Through Download Graphs. | Gianluca Stringhini, Yun Shen, Yufei Han, Xiangliang Zhang |
| 2017 | DASFAA | When Differential Privacy Meets Randomized Perturbation: A Hybrid Approach for Privacy-Preserving Recommender System. | Xiao Liu, An Liu, Xiangliang Zhang, Zhixu Li, Guanfeng Liu, Lei Zhao, Xiaofang Zhou |
| 2017 | ICDE | The Interaction Between Schema Matching and Record Matching in Data Integration (Extended Abstract). | Binbin Gu, Zhixu Li, Xiangliang Zhang, An Liu, Guanfeng Liu, Kai Zheng, Lei Zhao, Xiaofang Zhou |
| 2017 | PAKDD | Modeling Temporal Behavior of Awards Effect on Viewership of Movies. | Basmah Altaf, Faisal Kamiran, Xiangliang Zhang |
| 2017 | WWW | ESearch: Incorporating Text Corpus and Structured Knowledge for Open Domain Entity Search. | Denghao Ma, Yueguo Chen, Jun Chen, Xiaoyong Du, Xiangliang Zhang |
| 2017 | SDM | Collaborative User Network Embedding for Social Recommender Systems. | Chuxu Zhang, Lu Yu, Yan Wang, Chirag Shah, Xiangliang Zhang |
| 2016 | AAAI | Minimizing User Involvement for Learning Human Mobility Patterns from Location Traces. | Basma Alharbi, Abdulhakim Ali Qahtan, Xiangliang Zhang |
| 2016 | CIKM | Content-Agnostic Malware Detection in Heterogeneous Malicious Distribution Graph. | Ibrahim M. Alabdulmohsin, Yufei Han, Yun Shen, Xiangliang Zhang |
| 2016 | DASFAA | CrowdAidRepair: A Crowd-Aided Interactive Data Repairing Method. | Jian Zhou, Zhixu Li, Binbin Gu, Qing Xie, Jia Zhu, Xiangliang Zhang, Guoliang Li |
| 2016 | ICDE | TRIP: An interactive retrieving-inferring data imputation approach. | Zhixu Li, Lu Qin, Hong Cheng, Xiangliang Zhang, Xiaofang Zhou |
| 2016 | ICDM | Learning from Your Network of Friends: A Trajectory Representation Learning Model Based on Online Social Ties. | Basma Alharbi, Xiangliang Zhang |
| 2015 | AAAI | Efficient Active Learning of Halfspaces via Query Synthesis. | Ibrahim M. Alabdulmohsin, Xin Gao, Xiangliang Zhang |
| 2015 | IJCAI | A Scalable Community Detection Algorithm for Large Graphs Using Stochastic Block Models. | Chengbin Peng, Zhihua Zhang, Ka-Chun Wong, Xiangliang Zhang, David E. Keyes |
| 2015 | KDD | A PCA-Based Change Detection Framework for Multidimensional Data Streams: Change Detection in Multidimensional Data Streams. | Abdulhakim Ali Qahtan, Basma Alharbi, Suojin Wang, Xiangliang Zhang |
| 2014 | ACML | Support vector machines with indefinite kernels. | Ibrahim M. Alabdulmohsin, Xin Gao, Xiangliang Zhang |
| 2014 | CIKM | Adding Robustness to Support Vector Machines Against Adversarial Reverse Engineering. | Ibrahim M. Alabdulmohsin, Xin Gao, Xiangliang Zhang |
| 2014 | DASFAA | Cost Reduction for Web-Based Data Imputation. | Zhixu Li, Shuo Shang, Qing Xie, Xiangliang Zhang |
| 2014 | ECAI | A New Study of Two Divergence Metrics for Change Detection in Data Streams. | Abdulhakim Ali Qahtan, Suojin Wang, Raymond J. Carroll, Xiangliang Zhang |
| 2014 | EDBT | Overcoming Semantic Drift in Information Extraction. | Zhixu Li, Hongsong Li, Haixun Wang, Yi Yang, Xiangliang Zhang, Xiaofang Zhou |
| 2014 | INFOCOM | TideWatch: Fingerprinting the cyclicality of big data workloads. | Dan Williams, Shuai Zheng, Xiangliang Zhang, Hani Jamjoom |
| 2014 | SAC | Exploring the significance of human mobility patterns in social link prediction. | Basma Alharbi, Xiangliang Zhang |
| 2013 | CIKM | Local correlation detection with linearity enhancement in streaming data. | Qing Xie, Shuo Shang, Bo Yuan, Chaoyi Pang, Xiangliang Zhang |
| 2013 | ICDM | Controlling Attribute Effect in Linear Regression. | Toon Calders, Asim Karim, Faisal Kamiran, Wasif Ali, Xiangliang Zhang |
| 2013 | PAKDD | Video Quality Prediction over Wireless 4G. | Chun Pong Lau, Xiangliang Zhang, Basem Shihada |
| 2012 | AAAI | A Mouse-Trajectory Based Model for Predicting Query-URL Relevance. | Hengjie Song, Ruoxue Liao, Xiangliang Zhang, Chunyan Miao, Qiang Yang |
| 2012 | CIKM | Efficient estimation of dynamic density functions with an application to outlier detection. | Abdulhakim Ali Qahtan, Xiangliang Zhang, Suojin Wang |
| 2012 | ICDM | Decision Theory for Discrimination-Aware Classification. | Faisal Kamiran, Asim Karim, Xiangliang Zhang |
| 2012 | ICDM | Multiplicative Algorithms for Constrained Non-negative Matrix Factorization. | Chengbin Peng, Ka-Chun Wong, Alyn Rockwood, Xiangliang Zhang, Jinling Jiang, David E. Keyes |
| 2012 | ICPR | A direction Change-based algorithm for polygonal approximation. | Han Liu, Xiangliang Zhang, Alyn Rockwood |
| 2012 | ICTAI | Discovering Highly Informative Feature Set over High Dimensions. | Chongsheng Zhang, Florent Masseglia, Xiangliang Zhang |
| 2012 | NOMS | Virtual machine migration in an over-committed cloud. | Xiangliang Zhang, Zon-Yin Shae, Shuai Zheng, Hani Jamjoom |
| 2012 | TIME | Modeling and Clustering Users with Evolving Profiles in Usage Streams. | Chongsheng Zhang, Florent Masseglia, Xiangliang Zhang |
| 2011 | EuroPar | Analysis and Modeling of Social Influence in High Performance Computing Workloads. | Shuai Zheng, Zon-Yin Shae, Xiangliang Zhang, Hani Jamjoom, Liana Fong |
| 2011 | SAC | High-speed web attack detection through extracting exemplars from HTTP traffic. | Wei Wang, Xiangliang Zhang |
| 2010 | ADMA | Self-adaptive Change Detection in Streaming Data with Non-stationary Distribution. | Xiangliang Zhang, Wei Wang |
| 2010 | ICDM | K-AP: Generating Specified K Clusters by Efficient Affinity Propagation. | Xiangliang Zhang, Wei Wang, Kjetil Nrvg, Michle Sebag |
| 2010 | ICISS | Abstracting Audit Data for Lightweight Intrusion Detection. | Wei Wang, Xiangliang Zhang, Georgios Pitsilis |
| 2009 | CCGRID | Multi-scale Real-Time Grid Monitoring with Job Stream Mining. | Xiangliang Zhang, Michle Sebag, Ccile Germain-Renaud |
| 2009 | KDD | Toward autonomic grids: analyzing the job flow with affinity streaming. | Xiangliang Zhang, Cyril Furtlehner, Julien Perez, Ccile Germain-Renaud, Michle Sebag |
| 2007 | ICDM | Toward Behavioral Modeling of a Grid System: Mining the Logging and Bookkeeping Files. | Xiangliang Zhang, Michle Sebag, Ccile Germain |
| 2004 | ISNN | A Novel Intrusion Detection Method Based on Principle Component Analysis in Computer Security. | Wei Wang, Xiaohong Guan, Xiangliang Zhang |