Wang, Xiang

105 publications

NeurIPS 2025 3D-GSRD: 3D Molecular Graph Auto-Encoder with Selective Re-Mask Decoding Chang Wu, Zhiyuan Liu, Wen Shu, Liang Wang, Yanchen Luo, Wenqiang Lei, Yatao Bian, Junfeng Fang, Xiang Wang

ICML 2025 AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization Junkang Wu, Xue Wang, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He

ICLR 2025 AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models Junfeng Fang, Houcheng Jiang, Kun Wang, Yunshan Ma, Jie Shi, Xiang Wang, Xiangnan He, Tat-Seng Chua

ICLRW 2025 An Empirical Study on Prompt Compression for Large Language Models Zhang Zheng, Jinyi Li, Yihuai Lan, Xiang Wang, Hao Wang

ICLR 2025 Animate-X: Universal Character Image Animation with Enhanced Motion Representation Shuai Tan, Biao Gong, Xiang Wang, Shiwei Zhang, DanDan Zheng, Ruobing Zheng, Kecheng Zheng, Jingdong Chen, Ming Yang

ICML 2025 AnyEdit: Edit Any Knowledge Encoded in Language Models Houcheng Jiang, Junfeng Fang, Ningyu Zhang, Mingyang Wan, Guojun Ma, Xiang Wang, Xiangnan He, Tat-Seng Chua

ICML 2025 DAMA: Data- and Model-Aware Alignment of Multi-Modal LLMs Jinda Lu, Junkang Wu, Jinghan Li, Xiaojun Jia, Shuo Wang, Yifan Zhang, Junfeng Fang, Xiang Wang, Xiangnan He

WACV 2025 DMPT: Decoupled Modality-Aware Prompt Tuning for Multi-Modal Object Re-Identification Minghui Lin, Shu Wang, Xiang Wang, Jianhua Tang, Longbin Fu, Zhengrong Zuo, Nong Sang

ICLR 2025 DiffGAD: A Diffusion-Based Unsupervised Graph Anomaly Detector Jinghan Li, Yuan Gao, Jinda Lu, Junfeng Fang, Congcong Wen, Hui Lin, Xiang Wang

ICCV 2025 DreamRelation: Relation-Centric Video Customization Yujie Wei, Shiwei Zhang, Hangjie Yuan, Biao Gong, Longxiang Tang, Xiang Wang, Haonan Qiu, Hengjia Li, Shuai Tan, Yingya Zhang, Hongming Shan

NeurIPS 2025 FACE: A General Framework for Mapping Collaborative Filtering Embeddings into LLM Tokens Chao Wang, Yixin Song, Jinhui Ye, Chuan Qin, Dazhong Shen, Lingfeng Liu, Xiang Wang, Yanyong Zhang

NeurIPS 2025 Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation Guoqing Hu, An Zhang, Shuchang Liu, Wenyu Mao, Jiancan Wu, Xun Yang, Xiang Li, Lantao Hu, Han Li, Kun Gai, Xiang Wang

ICCV 2025 FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion Haonan Qiu, Shiwei Zhang, Yujie Wei, Ruihang Chu, Hangjie Yuan, Xiang Wang, Yingya Zhang, Ziwei Liu

ICCV 2025 Geometric Alignment and Prior Modulation for View-Guided Point Cloud Completion on Unseen Categories Jingqiao Xiu, Yicong Li, Na Zhao, Han Fang, Xiang Wang, Angela Yao

CVPR 2025 Holmes-VAU: Towards Long-Term Video Anomaly Understanding at Any Granularity Huaxin Zhang, Xiaohao Xu, Xiang Wang, Jialong Zuo, Xiaonan Huang, Changxin Gao, Shanjun Zhang, Li Yu, Nong Sang

ICCV 2025 Intermediate Connectors and Geometric Priors for Language-Guided Affordance Segmentation on Unseen Object Categories Yicong Li, Yiyang Chen, Zhenyuan Ma, Junbin Xiao, Xiang Wang, Angela Yao

ICLR 2025 Language Representations Can Be What Recommenders Need: Findings and Potentials Leheng Sheng, An Zhang, Yi Zhang, Yuxin Chen, Xiang Wang, Tat-Seng Chua

ICML 2025 Larger or Smaller Reward Margins to Select Preferences for LLM Alignment? Kexin Huang, Junkang Wu, Ziqian Chen, Xue Wang, Jinyang Gao, Bolin Ding, Jiancan Wu, Xiangnan He, Xiang Wang

ICML 2025 Learning Bayesian Nash Equilibrium in Auction Games via Approximate Best Response Kexin Huang, Ziqian Chen, Xue Wang, Chongming Gao, Jinyang Gao, Bolin Ding, Xiang Wang

ICML 2025 Multi-Agent Architecture Search via Agentic Supernet Guibin Zhang, Luyang Niu, Junfeng Fang, Kun Wang, Lei Bai, Xiang Wang

ICLR 2025 NExT-Mol: 3D Diffusion Meets 1d Language Modeling for 3D Molecule Generation Zhiyuan Liu, Yanchen Luo, Han Huang, Enzhi Zhang, Sihang Li, Junfeng Fang, Yaorui Shi, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua

NeurIPS 2025 On Efficiency-Effectiveness Trade-Off of Diffusion-Based Recommenders Wenyu Mao, Jiancan Wu, Guoqing Hu, Zhengyi Yang, Wei Ji, Xiang Wang

NeurIPS 2025 On Reasoning Strength Planning in Large Reasoning Models Leheng Sheng, An Zhang, Zijian Wu, Weixiang Zhao, Changshuo Shen, Yi Zhang, Xiang Wang, Tat-Seng Chua

IJCAI 2025 PCToolkit: A Unified Plug-and-Play Prompt Compression Toolkit of Large Language Models Zheng Zhang, Jinyi Li, Yihuai Lan, Xiang Wang, Hao Wang

ICCV 2025 PersonalVideo: High ID-Fidelity Video Customization Without Dynamic and Semantic Degradation Hengjia Li, Haonan Qiu, Shiwei Zhang, Xiang Wang, Yujie Wei, Zekun Li, Yingya Zhang, Boxi Wu, Deng Cai

CVPR 2025 Precise, Fast, and Low-Cost Concept Erasure in Value Space: Orthogonal Complement Matters Yuan Wang, Ouxiang Li, Tingting Mu, Yanbin Hao, Kuien Liu, Xiang Wang, Xiangnan He

NeurIPS 2025 RePO: Understanding Preference Learning Through ReLU-Based Optimization Junkang Wu, Kexin Huang, Xue Wang, Jinyang Gao, Bolin Ding, Jiancan Wu, Xiangnan He, Xiang Wang

ICML 2025 Reinforced Lifelong Editing for Language Models Zherui Li, Houcheng Jiang, Hao Chen, Baolong Bi, Zhenhong Zhou, Fei Sun, Junfeng Fang, Xiang Wang

ICLR 2025 SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding Sihang Li, Jin Huang, Jiaxi Zhuang, Yaorui Shi, Xiaochen Cai, Mingjun Xu, Xiang Wang, Linfeng Zhang, Guolin Ke, Hengxing Cai

NeurIPS 2025 Search and Refine During Think: Facilitating Knowledge Refinement for Improved Retrieval-Augmented Reasoning Yaorui Shi, Sihang Li, Chang Wu, Zhiyuan Liu, Junfeng Fang, Hengxing Cai, An Zhang, Xiang Wang

NeurIPS 2025 Teaching Language Models to Reason with Tools Chengpeng Li, Zhengyang Tang, Ziniu Li, Mingfeng Xue, Keqin Bao, Tian Ding, Ruoyu Sun, Benyou Wang, Xiang Wang, Junyang Lin, Dayiheng Liu

NeurIPS 2025 Think Before Recommendation: Autonomous Reasoning-Enhanced Recommender Xiaoyu Kong, Junguang Jiang, Bin Liu, Ziru Xu, Han Zhu, Jian Xu, Bo Zheng, Jiancan Wu, Xiang Wang

ICLR 2025 Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jiawei Chen, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He

NeurIPS 2025 Towards Unified and Lossless Latent Space for 3D Molecular Latent Diffusion Modeling Yanchen Luo, Zhiyuan Liu, Yi Zhao, Sihang Li, Hengxing Cai, Kenji Kawaguchi, Tat-Seng Chua, Yang Zhang, Xiang Wang

ICLR 2025 Unified Parameter-Efficient Unlearning for LLMs Chenlu Ding, Jiancan Wu, Yancheng Yuan, Jinda Lu, Kai Zhang, Alex Su, Xiang Wang, Xiangnan He

NeurIPS 2024 $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$ Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He

CVPR 2024 A Recipe for Scaling up Text-to-Video Generation with Text-Free Videos Xiang Wang, Shiwei Zhang, Hangjie Yuan, Zhiwu Qing, Biao Gong, Yingya Zhang, Yujun Shen, Changxin Gao, Nong Sang

ICML 2024 Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games Kexin Huang, Ziqian Chen, Xue Wang, Chongming Gao, Jinyang Gao, Bolin Ding, Xiang Wang

ECCV 2024 BKDSNN: Enhancing the Performance of Learning-Based Spiking Neural Networks Training with Blurred Knowledge Distillation Zekai Xu, Kang You, Qinghai Guo, Xiang Wang, Zhezhi He

NeurIPS 2024 Customizing Language Models with Instance-Wise LoRA for Sequential Recommendation Xiaoyu Kong, Jiancan Wu, An Zhang, Leheng Sheng, Hui Lin, Xiang Wang, Xiangnan He

ECCV 2024 Disentangling Masked Autoencoders for Unsupervised Domain Generalization An Zhang, Han Wang, Xiang Wang, Tat-Seng Chua

IJCAI 2024 Dynamicity-Aware Social Bot Detection with Dynamic Graph Transformers Buyun He, Yingguang Yang, Qi Wu, Hao Liu, Renyu Yang, Hao Peng, Xiang Wang, Yong Liao, Pengyuan Zhou

CVPR 2024 Enhance Image Classification via Inter-Class Image Mixup with Diffusion Model Zhicai Wang, Longhui Wei, Tan Wang, Heyu Chen, Yanbin Hao, Xiang Wang, Xiangnan He, Qi Tian

NeurIPS 2024 EvolveDirector: Approaching Advanced Text-to-Image Generation with Large Vision-Language Models Rui Zhao, Hangjie Yuan, Yujie Wei, Shiwei Zhang, Yuchao Gu, Lingmin Ran, Xiang Wang, Zhangjie Wu, Junhao Zhang, Yingya Zhang, Mike Zheng Shou

AAAI 2024 HR-Pro: Point-Supervised Temporal Action Localization via Hierarchical Reliability Propagation Huaxin Zhang, Xiang Wang, Xiaohao Xu, Zhiwu Qing, Changxin Gao, Nong Sang

CVPR 2024 Hierarchical Spatio-Temporal Decoupling for Text-to-Video Generation Zhiwu Qing, Shiwei Zhang, Jiayu Wang, Xiang Wang, Yujie Wei, Yingya Zhang, Changxin Gao, Nong Sang

CVPR 2024 InstructVideo: Instructing Video Diffusion Models with Human Feedback Hangjie Yuan, Shiwei Zhang, Xiang Wang, Yujie Wei, Tao Feng, Yining Pan, Yingya Zhang, Ziwei Liu, Samuel Albanie, Dong Ni

CVPR 2024 LASO: Language-Guided Affordance Segmentation on 3D Object Yicong Li, Na Zhao, Junbin Xiao, Chun Feng, Xiang Wang, Tat-seng Chua

NeurIPS 2024 On SoftMax Direct Preference Optimization for Recommendation Yuxin Chen, Junfei Tan, An Zhang, Zhengyi Yang, Leheng Sheng, Enzhi Zhang, Xiang Wang, Tat-Seng Chua

NeurIPSW 2024 SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding Sihang Li, Jin Huang, Jiaxi Zhuang, Yaorui Shi, Xiaochen Cai, Mingjun Xu, Xiang Wang, Linfeng Zhang, Guolin Ke, Hengxing Cai

ICML 2024 SpikeZIP-TF: Conversion Is All You Need for Transformer-Based SNN Kang You, Zekai Xu, Chen Nie, Zhijie Deng, Qinghai Guo, Xiang Wang, Zhezhi He

AAAI 2024 Text-to-Image Generation for Abstract Concepts Jiayi Liao, Xu Chen, Qiang Fu, Lun Du, Xiangnan He, Xiang Wang, Shi Han, Dongmei Zhang

ICLR 2024 Towards 3D Molecule-Text Interpretation in Language Models Sihang Li, Zhiyuan Liu, Yanchen Luo, Xiang Wang, Xiangnan He, Kenji Kawaguchi, Tat-Seng Chua, Qi Tian

NeurIPS 2024 Towards Neuron Attributions in Multi-Modal Large Language Models Junfeng Fang, Zongze Bi, Ruipeng Wang, Houcheng Jiang, Yuan Gao, Kun Wang, An Zhang, Jie Shi, Xiang Wang, Tat-Seng Chua

ICLR 2023 Boosting Causal Discovery via Adaptive Sample Reweighting An Zhang, Fangfu Liu, Wenchang Ma, Zhibo Cai, Xiang Wang, Tat-Seng Chua

ICCV 2023 Discovering Spatio-Temporal Rationales for Video Question Answering Yicong Li, Junbin Xiao, Chun Feng, Xiang Wang, Tat-Seng Chua

NeurIPS 2023 Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss An Zhang, Leheng Sheng, Zhibo Cai, Xiang Wang, Tat-Seng Chua

CVPR 2023 Enlarging Instance-Specific and Class-Specific Information for Open-Set Action Recognition Jun Cen, Shiwei Zhang, Xiang Wang, Yixuan Pei, Zhiwu Qing, Yingya Zhang, Qifeng Chen

NeurIPS 2023 Evaluating Post-Hoc Explanations for Graph Neural Networks via Robustness Analysis Junfeng Fang, Wei Liu, Yuan Gao, Zemin Liu, An Zhang, Xiang Wang, Xiangnan He

NeurIPS 2023 Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion Zhengyi Yang, Jiancan Wu, Zhicai Wang, Xiang Wang, Yancheng Yuan, Xiangnan He

ICCVW 2023 MIAD: A Maintenance Inspection Dataset for Unsupervised Anomaly Detection Tianpeng Bao, Jiadong Chen, Wei Li, Xiang Wang, Jingjing Fei, Liwei Wu, Rui Zhao, Ye Zheng

CVPR 2023 MoLo: Motion-Augmented Long-Short Contrastive Learning for Few-Shot Action Recognition Xiang Wang, Shiwei Zhang, Zhiwu Qing, Changxin Gao, Yingya Zhang, Deli Zhao, Nong Sang

ICLR 2023 Plateau in Monotonic Linear Interpolation --- a "Biased" View of Loss Landscape for Deep Networks Xiang Wang, Annie N. Wang, Mo Zhou, Rong Ge

ICML 2023 Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup Muthu Chidambaram, Xiang Wang, Chenwei Wu, Rong Ge

ICCV 2023 RLIPv2: Fast Scaling of Relational Language-Image Pre-Training Hangjie Yuan, Shiwei Zhang, Xiang Wang, Samuel Albanie, Yining Pan, Tao Feng, Jianwen Jiang, Dong Ni, Yingya Zhang, Deli Zhao

NeurIPS 2023 Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules Zhiyuan Liu, Yaorui Shi, An Zhang, Enzhi Zhang, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua

ICCV 2023 Space-Time Prompting for Video Class-Incremental Learning Yixuan Pei, Zhiwu Qing, Shiwei Zhang, Xiang Wang, Yingya Zhang, Deli Zhao, Xueming Qian

NeurIPS 2023 Understanding Contrastive Learning via Distributionally Robust Optimization Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Xiang Wang, Xiangnan He

ICLR 2023 Understanding Edge-of-Stability Training Dynamics with a Minimalist Example Xingyu Zhu, Zixuan Wang, Xiang Wang, Mo Zhou, Rong Ge

NeurIPS 2023 Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift Yongduo Sui, Qitian Wu, Jiancan Wu, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang, Xiangnan He

NeurIPS 2023 VideoComposer: Compositional Video Synthesis with Motion Controllability Xiang Wang, Hangjie Yuan, Shiwei Zhang, Dayou Chen, Jiuniu Wang, Yingya Zhang, Yujun Shen, Deli Zhao, Jingren Zhou

AAAI 2023 WSiP: Wave Superposition Inspired Pooling for Dynamic Interactions-Aware Trajectory Prediction Renzhi Wang, Senzhang Wang, Hao Yan, Xiang Wang

IJCAI 2022 Copy Motion from One to Another: Fake Motion Video Generation Zhenguang Liu, Sifan Wu, Chejian Xu, Xiang Wang, Lei Zhu, Shuang Wu, Fuli Feng

ICLR 2022 Discovering Invariant Rationales for Graph Neural Networks Yingxin Wu, Xiang Wang, An Zhang, Xiangnan He, Tat-Seng Chua

CVPR 2022 Hybrid Relation Guided Set Matching for Few-Shot Action Recognition Xiang Wang, Shiwei Zhang, Zhiwu Qing, Mingqian Tang, Zhengrong Zuo, Changxin Gao, Rong Jin, Nong Sang

NeurIPS 2022 Incorporating Bias-Aware Margins into Contrastive Loss for Collaborative Filtering An Zhang, Wenchang Ma, Xiang Wang, Tat-Seng Chua

CVPR 2022 Invariant Grounding for Video Question Answering Yicong Li, Xiang Wang, Junbin Xiao, Wei Ji, Tat-Seng Chua

NeurIPS 2022 Learning a Condensed Frame for Memory-Efficient Video Class-Incremental Learning Yixuan Pei, Zhiwu Qing, Jun Cen, Xiang Wang, Shiwei Zhang, Yaxiong Wang, Mingqian Tang, Nong Sang, Xueming Qian

CVPR 2022 Learning from Untrimmed Videos: Self-Supervised Video Representation Learning with Hierarchical Consistency Zhiwu Qing, Shiwei Zhang, Ziyuan Huang, Yi Xu, Xiang Wang, Mingqian Tang, Changxin Gao, Rong Jin, Nong Sang

ICML 2022 Let Invariant Rationale Discovery Inspire Graph Contrastive Learning Sihang Li, Xiang Wang, An Zhang, Yingxin Wu, Xiangnan He, Tat-Seng Chua

ECML-PKDD 2022 Multi-Task Adversarial Learning for Semi-Supervised Trajectory-User Linking Sen Zhang, Senzhang Wang, Xiang Wang, Shigeng Zhang, Hao Miao, Junxing Zhu

CVPR 2022 Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective Jiawei Zhang, Xiang Wang, Xiao Bai, Chen Wang, Lei Huang, Yimin Chen, Lin Gu, Jun Zhou, Tatsuya Harada, Edwin R. Hancock

CVPR 2022 Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation Zhenguang Liu, Runyang Feng, Haoming Chen, Shuang Wu, Yixing Gao, Yunjun Gao, Xiang Wang

ICLR 2022 Towards Understanding the Data Dependency of Mixup-Style Training Muthu Chidambaram, Xiang Wang, Yuzheng Hu, Chenwei Wu, Rong Ge

ICML 2021 Guarantees for Tuning the Step Size Using a Learning-to-Learn Approach Xiang Wang, Shuai Yuan, Chenwei Wu, Rong Ge

ICCV 2021 OadTR: Online Action Detection with Transformers Xiang Wang, Shiwei Zhang, Zhiwu Qing, Yuanjie Shao, Zhengrong Zuo, Changxin Gao, Nong Sang

CVPR 2021 Self-Supervised Learning for Semi-Supervised Temporal Action Proposal Xiang Wang, Shiwei Zhang, Zhiwu Qing, Yuanjie Shao, Changxin Gao, Nong Sang

IJCAI 2021 Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion Zhenguang Liu, Peng Qian, Xiang Wang, Lei Zhu, Qinming He, Shouling Ji

CVPR 2021 Temporal Context Aggregation Network for Temporal Action Proposal Refinement Zhiwu Qing, Haisheng Su, Weihao Gan, Dongliang Wang, Wei Wu, Xiang Wang, Yu Qiao, Junjie Yan, Changxin Gao, Nong Sang

NeurIPS 2021 Towards Multi-Grained Explainability for Graph Neural Networks Xiang Wang, Yingxin Wu, An Zhang, Xiangnan He, Tat-Seng Chua

NeurIPS 2021 Understanding Deflation Process in Over-Parametrized Tensor Decomposition Rong Ge, Yunwei Ren, Xiang Wang, Mo Zhou

AAAI 2021 Visual Boundary Knowledge Translation for Foreground Segmentation Zunlei Feng, Lechao Cheng, Xinchao Wang, Xiang Wang, Ya Jie Liu, Xiangtong Du, Mingli Song

NeurIPS 2020 Beyond Lazy Training for Over-Parameterized Tensor Decomposition Xiang Wang, Chenwei Wu, Jason Lee, Tengyu Ma, Rong Ge

IJCAI 2020 Bilinear Graph Neural Network with Neighbor Interactions Hongmin Zhu, Fuli Feng, Xiangnan He, Xiang Wang, Yan Li, Kai Zheng, Yongdong Zhang

IJCAI 2020 Smart Contract Vulnerability Detection Using Graph Neural Network Yuan Zhuang, Zhenguang Liu, Peng Qian, Qi Liu, Xiang Wang, Qinming He

AAAI 2020 Zero-Shot Ingredient Recognition by Multi-Relational Graph Convolutional Network Jingjing Chen, Liangming Pan, Zhipeng Wei, Xiang Wang, Chong-Wah Ngo, Tat-Seng Chua

AAAI 2019 Explainable Reasoning over Knowledge Graphs for Recommendation Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, Tat-Seng Chua

NeurIPS 2019 Explaining Landscape Connectivity of Low-Cost Solutions for Multilayer Nets Rohith Kuditipudi, Xiang Wang, Holden Lee, Yi Zhang, Zhiyuan Li, Wei Hu, Rong Ge, Sanjeev Arora

ICLR 2019 Learning Two-Layer Neural Networks with Symmetric Inputs Rong Ge, Rohith Kuditipudi, Zhize Li, Xiang Wang

COLT 2019 Stabilized SVRG: Simple Variance Reduction for Nonconvex Optimization Rong Ge, Zhize Li, Weiyao Wang, Xiang Wang

IJCAI 2018 Outer Product-Based Neural Collaborative Filtering Xiangnan He, Xiaoyu Du, Xiang Wang, Feng Tian, Jinhui Tang, Tat-Seng Chua

CVPR 2015 Improving Object Proposals with Multi-Thresholding Straddling Expansion Xiaozhi Chen, Huimin Ma, Xiang Wang, Zhichen Zhao

AAAI 2015 Propagating Ranking Functions on a Graph: Algorithms and Applications Buyue Qian, Xiang Wang, Ian Davidson

IJCAI 2013 Active Learning from Relative Queries Buyue Qian, Xiang Wang, Fei Wang, Hongfei Li, Jieping Ye, Ian Davidson

AAAI 2013 Clustering with Complex Constraints - Algorithms and Applications Weifeng Zhi, Xiang Wang, Buyue Qian, Patrick Butler, Naren Ramakrishnan, Ian Davidson