Wang, Xin

233 publications

ICLR 2025 $\text{D}_{2}\text{O}$: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models Zhongwei Wan, Xinjian Wu, Yu Zhang, Yi Xin, Chaofan Tao, Zhihong Zhu, Xin Wang, Siqi Luo, Jing Xiong, Longyue Wang, Mi Zhang

ICML 2025 3D-LMVIC: Learning-Based Multi-View Image Compression with 3D Gaussian Geometric Priors Yujun Huang, Bin Chen, Niu Lian, Xin Wang, Baoyi An, Tao Dai, Shu-Tao Xia

NeurIPS 2025 A Implies B: Circuit Analysis in LLMs for Propositional Logical Reasoning Guan Zhe Hong, Nishanth Dikkala, Enming Luo, Cyrus Rashtchian, Xin Wang, Rina Panigrahy

CVPR 2025 AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark Li Lin, Santosh Santosh, Mingyang Wu, Xin Wang, Shu Hu

AAAI 2025 Adaptive Dual Guidance Knowledge Distillation Tong Li, Long Liu, Kang Liu, Xin Wang, Bo Zhou, Hongguang Yang, Kai Lu

IJCAI 2025 Adversarial Propensity Weighting for Debiasing in Collaborative Filtering Kuiyu Zhu, Tao Qin, Pinghui Wang, Xin Wang

ICML 2025 AutoGFM: Automated Graph Foundation Model with Adaptive Architecture Customization Haibo Chen, Xin Wang, Zeyang Zhang, Haoyang Li, Ling Feng, Wenwu Zhu

AAAI 2025 Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation Chendi Ge, Xin Wang, Ziwei Zhang, Yijian Qin, Hong Chen, Haiyang Wu, Yang Zhang, Yuekui Yang, Wenwu Zhu

ICCV 2025 Beyond Single Images: Retrieval Self-Augmented Unsupervised Camouflaged Object Detection Ji Du, Xin Wang, Fangwei Hao, Mingyang Yu, Chunyuan Chen, Jiesheng Wu, Bin Wang, Jing Xu, Ping Li

CVPR 2025 Complementary Advantages: Exploiting Cross-Field Frequency Correlation for NIR-Assisted Image Denoising Yuchen Wang, Hongyuan Wang, Lizhi Wang, Xin Wang, Lin Zhu, Wanxuan Lu, Hua Huang

AAAI 2025 ConDSeg: A General Medical Image Segmentation Framework via Contrast-Driven Feature Enhancement Mengqi Lei, Haochen Wu, Xinhua Lv, Xin Wang

ICML 2025 Differentiable Structure Learning with Ancestral Constraints Taiyu Ban, Changxin Rong, Xiangyu Wang, Lyuzhou Chen, Xin Wang, Derui Lyu, Qinrui Zhu, Huanhuan Chen

ICML 2025 Disentangling Invariant Subgraph via Variance Contrastive Estimation Under Distribution Shifts Haoyang Li, Xin Wang, Xueling Zhu, Weigao Wen, Wenwu Zhu

IJCAI 2025 Dyn-D2P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee Zehan Zhu, Yan Huang, Xin Wang, Shouling Ji, Jinming Xu

ICML 2025 Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning Chendi Ge, Xin Wang, Zeyang Zhang, Hong Chen, Jiapei Fan, Longtao Huang, Hui Xue, Wenwu Zhu

TMLR 2025 Efficient Diffusion Models: A Survey Hui Shen, Jingxuan Zhang, Boning Xiong, Rui Hu, Shoufa Chen, Zhongwei Wan, Xin Wang, Yu Zhang, Zixuan Gong, Guangyin Bao, Chaofan Tao, Yongfeng Huang, Ye Yuan, Mi Zhang

IJCAI 2025 Enhancing Counterfactual Estimation: A Focus on Temporal Treatments Xin Wang, Shengfei Lyu, Kangyang Luo, Lishan Yang, Huanhuan Chen, Chunyan Miao

CVPR 2025 FIRE: Robust Detection of Diffusion-Generated Images via Frequency-Guided Reconstruction Error Beilin Chu, Xuan Xu, Xin Wang, Yufei Zhang, Weike You, Linna Zhou

IJCAI 2025 FedSaaS: Class-Consistency Federated Semantic Segmentation via Global Prototype Supervision and Local Adversarial Harmonization Xiaoyang Yu, Xiaoming Wu, Xin Wang, Dongrun Li, Ming Yang, Peng Cheng

ICCV 2025 From Abyssal Darkness to Blinding Glare: A Benchmark on Extreme Exposure Correction in Real World Bo Wang, Huiyuan Fu, Zhiye Huang, Siru Zhang, Xin Wang, Huadong Ma

NeurIPS 2025 GMM-Based VAE Model with Normalising Flow for Effective Stochastic Segmentation Conghui Li, Chern Hong Lim, Xin Wang

NeurIPS 2025 GTR-Loc: Geospatial Text Regularization Assisted Outdoor LiDAR Localization Shangshu Yu, Wen Li, Xiaotian Sun, Zhimin Yuan, Xin Wang, Sijie Wang, Rui She, Cheng Wang

NeurIPS 2025 GraphChain: Large Language Models for Large-Scale Graph Analysis via Tool Chaining Chunyu Wei, Wenji Hu, Xingjia Hao, Xin Wang, Yifan Yang, Yunhai Wang, Yang Tian, Yueguo Chen

AAAI 2025 Identity-Text Video Corpus Grounding Bin Huang, Xin Wang, Hong Chen, Houlun Chen, Yaofei Wu, Wenwu Zhu

ICML 2025 Implicit Degree Bias in the Link Prediction Task Rachith Aiyappa, Xin Wang, Munjung Kim, Ozgur Can Seckin, Yong-Yeol Ahn, Sadamori Kojaku

AAAI 2025 Improving Generalization for AI-Synthesized Voice Detection Hainan Ren, Li Lin, Chun-Hao Liu, Xin Wang, Shu Hu

AAAI 2025 JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration Mingzi Wang, Yuan Meng, Chen Tang, Weixiang Zhang, Yijian Qin, Yang Yao, Yingxin Li, Tongtong Feng, Xin Wang, Xun Guan, Zhi Wang, Wenwu Zhu

IJCAI 2025 Latte: Transfering LLMs' Latent-Level Knowledge for Few-Shot Tabular Learning Ruxue Shi, Hengrui Gu, Hangting Ye, Yiwei Dai, Xu Shen, Xin Wang

ICLRW 2025 Learning to Navigate in Open Urban Environments Using a Simple Sim2Real Strategy Lixuan He, Haoyu Dong, Yangcheng Yu, Zhenxing Chen, Jie Feng, Xin Wang, Yong Li

CVPR 2025 MAR-3D: Progressive Masked Auto-Regressor for High-Resolution 3D Generation Jinnan Chen, Lingting Zhu, Zeyu Hu, Shengju Qian, Yugang Chen, Xin Wang, Gim Hee Lee

IJCAI 2025 Mamba-Based Graph Convolutional Networks: Tackling Over-Smoothing with Selective State Space Xin He, Yili Wang, Wenqi Fan, Xu Shen, Xin Juan, Rui Miao, Xin Wang

AAAI 2025 Modular-Cam: Modular Dynamic Camera-View Video Generation with LLM Zirui Pan, Xin Wang, Yipeng Zhang, Hong Chen, Kwan Man Cheng, Yaofei Wu, Wenwu Zhu

ICML 2025 Modularized Self-Reflected Video Reasoner for Multimodal LLM with Application to Video Question Answering Zihan Song, Xin Wang, Zi Qian, Hong Chen, Longtao Huang, Hui Xue, Wenwu Zhu

ICCV 2025 NoiseController: Towards Consistent Multi-View Video Generation via Noise Decomposition and Collaboration Haotian Dong, Xin Wang, Di Lin, Yipeng Wu, Qin Chen, Ruonan Liu, Kairui Yang, Ping Li, Qing Guo

NeurIPS 2025 Optimization Inspired Few-Shot Adaptation for Large Language Models Boyan Gao, Xin Wang, Yibo Yang, David A. Clifton

NeurIPS 2025 Out-of-Distribution Generalized Graph Anomaly Detection with Homophily-Aware Environment Mixup Sibo Tian, Xin Wang, Zeyang Zhang, Haibo Chen, Wenwu Zhu

NeurIPS 2025 Pattern-Guided Adaptive Prior for Structure Learning Lyuzhou Chen, Yijia Sun, Yanze Gao, Xiangyu Wang, Derui Lyu, Taiyu Ban, Xin Wang, Xiren Zhou, Huanhuan Chen

ICML 2025 Predictive Performance of Deep Quantum Data Re-Uploading Models Xin Wang, Hanxiao Tao, Rebing Wu

ICML 2025 Preserving AUC Fairness in Learning with Noisy Protected Groups Mingyang Wu, Li Lin, Wenbin Zhang, Xin Wang, Zhenhuan Yang, Shu Hu

ICLRW 2025 Proactive Detection of Speaker Identity Manipulation with Neural Watermarking Wanying Ge, Xin Wang, Junichi Yamagishi

CVPR 2025 Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers Lei Chen, Yuan Meng, Chen Tang, Xinzhu Ma, Jingyan Jiang, Xin Wang, Zhi Wang, Wenwu Zhu

IJCAI 2025 RLMiniStyler: Light-Weight RL Style Agent for Arbitrary Sequential Neural Style Generation Jing Hu, Chengming Feng, Shu Hu, Ming-Ching Chang, Xin Li, Xi Wu, Xin Wang

ICML 2025 ResQ: Mixed-Precision Quantization of Large Language Models with Low-Rank Residuals Utkarsh Saxena, Sayeh Sharify, Kaushik Roy, Xin Wang

ICLRW 2025 ResQ: Mixed-Precision Quantization of Large Language Models with Low-Rank Residuals Utkarsh Saxena, Sayeh Sharify, Kaushik Roy, Xin Wang

NeurIPS 2025 Restricted Global-Aware Graph Filters Bridging GNNs and Transformer for Node Classification Jingyuan Zhang, Xin Wang, Lei Yu, Zhirong Huang, Li Yang, Fengjun Zhang

AAAI 2025 SCALM: Detecting Bad Practices in Smart Contracts Through LLMs Zongwei Li, Xiaoqi Li, Wenkai Li, Xin Wang

ICLR 2025 SVD-LLM: Truncation-Aware Singular Value Decomposition for Large Language Model Compression Xin Wang, Yu Zheng, Zhongwei Wan, Mi Zhang

NeurIPS 2025 SafeVid: Toward Safety Aligned Video Large Multimodal Models Yixu Wang, Jiaxin Song, Yifeng Gao, Xin Wang, Yang Yao, Yan Teng, Xingjun Ma, Yingchun Wang, Yu-Gang Jiang

ICML 2025 Self-Supervised Masked Graph Autoencoder via Structure-Aware Curriculum Haoyang Li, Xin Wang, Zeyang Zhang, Zongyuan Wu, Linxin Xiao, Wenwu Zhu

AAAI 2025 Set-Valued Sensitivity Analysis of Deep Neural Networks Xin Wang, Feilong Wang, Xuegang (Jeff) Ban

CVPR 2025 TAPT: Test-Time Adversarial Prompt Tuning for Robust Inference in Vision-Language Models Xin Wang, Kai Chen, Jiaming Zhang, Jingjing Chen, Xingjun Ma

WACV 2025 Texture Shape and Order Matter: A New Transformer Design for Sequential DeepFake Detection Yunfei Li, Yuezun Li, Xin Wang, Baoyuan Wu, Jiaran Zhou, Junyu Dong

ICCV 2025 TopicGeo: An Efficient Unified Framework for Geolocation Xin Wang, Xinlin Wang, Shuiping Gou

CVPR 2025 Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards Zijing Hu, Fengda Zhang, Long Chen, Kun Kuang, Jiahui Li, Kaifeng Gao, Jun Xiao, Xin Wang, Wenwu Zhu

ICLR 2025 Trajectory-LLM: A Language-Based Data Generator for Trajectory Prediction in Autonomous Driving Kairui Yang, Zihao Guo, Gengjie Lin, Haotian Dong, Zhao Huang, Yipeng Wu, Die Zuo, Jibin Peng, Ziyuan Zhong, Xin Wang, Qing Guo, Xiaosong Jia, Junchi Yan, Di Lin

ICLRW 2025 Understanding the Difficulty of Low-Precision Post-Training Quantization for LLMs Zifei Xu, Sayeh Sharify, Wanzin Yazar, Tristan J Webb, Xin Wang

ICLR 2025 Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark Yili Wang, Yixin Liu, Xu Shen, Chenyu Li, Rui Miao, Kaize Ding, Ying Wang, Shirui Pan, Xin Wang

ICML 2025 Variational Counterfactual Intervention Planning to Achieve Target Outcomes Xin Wang, Shengfei Lyu, Chi Luo, Xiren Zhou, Huanhuan Chen

ICML 2024 A Dual-Module Framework for Counterfactual Estimation over Time Xin Wang, Shengfei Lyu, Lishan Yang, Yibing Zhan, Huanhuan Chen

ECCV 2024 Adversarial Prompt Tuning for Vision-Language Models Jiaming Zhang, Xingjun Ma, Xin Wang, Lingyu Qiu, Jiaqi Wang, Yu-Gang Jiang, Jitao Sang

NeurIPS 2024 Causal Language Modeling Can Elicit Search and Reasoning Capabilities on Logic Puzzles Kulin Shah, Nishanth Dikkala, Xin Wang, Rina Panigrahy

CVPR 2024 Continuous Optical Zooming: A Benchmark for Arbitrary-Scale Image Super-Resolution in Real World Huiyuan Fu, Fei Peng, Xianwei Li, Yejun Li, Xin Wang, Huadong Ma

ICML 2024 CurBench: Curriculum Learning Benchmark Yuwei Zhou, Zirui Pan, Xin Wang, Hong Chen, Haoyang Li, Yanwen Huang, Zhixiao Xiong, Fangzhou Xiong, Peiyang Xu, Shengnan Liu, Wenwu Zhu

AAAI 2024 Data-Augmented Curriculum Graph Neural Architecture Search Under Distribution Shifts Yang Yao, Xin Wang, Yijian Qin, Ziwei Zhang, Wenwu Zhu, Hong Mei

NeurIPS 2024 Differentiable Structure Learning with Partial Orders Taiyu Ban, Lyuzhou Chen, Xiangyu Wang, Xin Wang, Derui Lyu, Huanhuan Chen

ICLR 2024 DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation Hong Chen, Yipeng Zhang, Simin Wu, Xin Wang, Xuguang Duan, Yuwei Zhou, Wenwu Zhu

ICML 2024 Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet Zeyang Zhang, Xin Wang, Yijian Qin, Hong Chen, Ziwei Zhang, Xu Chu, Wenwu Zhu

ICML 2024 Disentangled Graph Self-Supervised Learning for Out-of-Distribution Generalization Haoyang Li, Xin Wang, Zeyang Zhang, Haibo Chen, Ziwei Zhang, Wenwu Zhu

TMLR 2024 Efficient Large Language Models: A Survey Zhongwei Wan, Xin Wang, Che Liu, Samiul Alam, Yu Zheng, Jiachen Liu, Zhongnan Qu, Shen Yan, Yi Zhu, Quanlu Zhang, Mosharaf Chowdhury, Mi Zhang

ICLR 2024 Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models Yili Wang, Kaixiong Zhou, Ninghao Liu, Ying Wang, Xin Wang

CVPR 2024 Enhancing Video Super-Resolution via Implicit Resampling-Based Alignment Kai Xu, Ziwei Yu, Xin Wang, Michael Bi Mi, Angela Yao

AAAI 2024 Exponential Hardness of Optimization from the Locality in Quantum Neural Networks Hao-Kai Zhang, Chengkai Zhu, Geng Liu, Xin Wang

ACML 2024 FTP: A Human Pose Estimation Method Integrating Temporal and Fine-Grained Feature Fusion Shuqiang Cai, Chennan Ma, Xin Wang, Li Lin, Ming Yan, Xincheng Lin, Shuqi Fan, Siqi Shen

NeurIPS 2024 FUG: Feature-Universal Graph Contrastive Pre-Training for Graphs with Diverse Node Features Jitao Zhao, Di Jin, Meng Ge, Lianze Shan, Xin Wang, Dongxiao He, Zhiyong Feng

ECCVW 2024 Famba-V: Fast Vision Mamba with Cross-Layer Token Fusion Hui Shen, Zhongwei Wan, Xin Wang, Mi Zhang

NeurIPS 2024 Gorilla: Large Language Model Connected with Massive APIs Shishir G. Patil, Tianjun Zhang, Xin Wang, Joseph E. Gonzalez

NeurIPSW 2024 How Transformers Reason: A Case Study on a Synthetic Propositional Logic Problem Guan Zhe Hong, Nishanth Dikkala, Enming Luo, Cyrus Rashtchian, Xin Wang, Rina Panigrahy

CVPR 2024 In2SET: Intra-Inter Similarity Exploiting Transformer for Dual-Camera Compressive Hyperspectral Imaging Xin Wang, Lizhi Wang, Xiangtian Ma, Maoqing Zhang, Lin Zhu, Hua Huang

NeurIPS 2024 Is a Picture Worth a Thousand Words? Delving into Spatial Reasoning for Vision Language Models Jiayu Wang, Yifei Ming, Zhenmei Shi, Vibhav Vineet, Xin Wang, Yixuan Li, Neel Joshi

CPAL 2024 Jaxpruner: A Concise Library for Sparsity Research Joo Hyung Lee, Wonpyo Park, Nicole Elyse Mitchell, Jonathan Pilault, Johan Samir Obando Ceron, Han-Byul Kim, Namhoon Lee, Elias Frantar, Yun Long, Amir Yazdanbakhsh, Woohyun Han, Shivani Agrawal, Suvinay Subramanian, Xin Wang, Sheng-Chun Kao, Xingyao Zhang, Trevor Gale, Aart J.C. Bik, Milen Ferev, Zhonglin Han, Hong-Seok Kim, Yann Dauphin, Gintare Karolina Dziugaite, Pablo Samuel Castro, Utku Evci

ECCVW 2024 LVG-SfM: Learning-Based View-Graph Generation for Robust On-the-Fly SfM Wentian Gan, Yifei Yu, Giulio Perda, Luca Morelli, Rui Xia, Zongqian Zhan, Xin Wang, Fabio Remondino

ICLR 2024 MIntRec2.0: A Large-Scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-Scope Detection in Conversations Hanlei Zhang, Xin Wang, Hua Xu, Qianrui Zhou, Kai Gao, Jianhua Su, Jinyue Zhao, Wenrui Li, Yanting Chen

CVPR 2024 Molecular Data Programming: Towards Molecule Pseudo-Labeling with Systematic Weak Supervision Xin Juan, Kaixiong Zhou, Ninghao Liu, Tianlong Chen, Xin Wang

AAAI 2024 Multimodal Graph Neural Architecture Search Under Distribution Shifts Jie Cai, Xin Wang, Haoyang Li, Ziwei Zhang, Wenwu Zhu

NeurIPS 2024 Non-Asymptotic Approximation Error Bounds of Parameterized Quantum Circuits Zhan Yu, Qiuhao Chen, Yuling Jiao, Yinan Li, Xiliang Lu, Xin Wang, Jerry Zhijian Yang

ECCV 2024 Post-Training Quantization with Progressive Calibration and Activation Relaxing for Text-to-Image Diffusion Models Siao Tang, Xin Wang, Hong Chen, Chaoyu Guan, Zewen Wu, Yansong Tang, Wenwu Zhu

CVPR 2024 Preserving Fairness Generalization in Deepfake Detection Li Lin, Xinan He, Yan Ju, Xin Wang, Feng Ding, Shu Hu

IJCAI 2024 PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility Bounds Zehan Zhu, Yan Huang, Xin Wang, Jinming Xu

ICML 2024 Rethinking Independent Cross-Entropy Loss for Graph-Structured Data Rui Miao, Kaixiong Zhou, Yili Wang, Ninghao Liu, Ying Wang, Xin Wang

AAAI 2024 Rethinking Propagation for Unsupervised Graph Domain Adaptation Meihan Liu, Zeyu Fang, Zhen Zhang, Ming Gu, Sheng Zhou, Xin Wang, Jiajun Bu

ECML-PKDD 2024 SAGS-DynamicBio: Integrating Semantic-Aware and Graph Structure-Aware Embedding for Dynamic Biological Data with Knowledge Graphs Yao Liu, Yongfei Zhang, Xin Wang

IJCAI 2024 Self-Supervised Learning for Enhancing Spatial Awareness in Free-Hand Sketches Xin Wang, Tengjie Li, Sicong Zang, Shikui Tu, Lei Xu

ECCV 2024 Two-Stage Video Shadow Detection via Temporal-Spatial Adaption Xin Duan, Yu Cao, Lei Zhu, Gang Fu, Xin Wang, Renjie Zhang, Ping Li

NeurIPS 2024 VERIFIED: A Video Corpus Moment Retrieval Benchmark for Fine-Grained Video Understanding Houlun Chen, Xin Wang, Hong Chen, Zeyang Zhang, Wei Feng, Bin Huang, Jia Jia, Wenwu Zhu

CVPR 2024 VTimeLLM: Empower LLM to Grasp Video Moments Bin Huang, Xin Wang, Hong Chen, Zihan Song, Wenwu Zhu

NeurIPS 2024 WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking Yunchao Liu, Ha Dong, Xin Wang, Rocco Moretti, Yu Wang, Zhaoqian Su, Jiawei Gu, Bobby Bodenheimer, Charles David Weaver, Jens Meiler, Tyler Derr

ECCV 2024 When Do We Not Need Larger Vision Models? Baifeng Shi, Ziyang Wu, Maolin Mao, Xin Wang, Trevor Darrell

NeurIPSW 2024 When Do We Not Need Larger Vision Models? Baifeng Shi, Ziyang Wu, Maolin Mao, Xin Wang, Trevor Darrell

CVPR 2023 Adversarially Robust Neural Architecture Search for Graph Neural Networks Beini Xie, Heng Chang, Ziwei Zhang, Xin Wang, Daixin Wang, Zhiqiang Zhang, Rex Ying, Wenwu Zhu

NeurIPS 2023 Alternating Updates for Efficient Transformers Cenk Baykal, Dylan Cutler, Nishanth Dikkala, Nikhil Ghosh, Rina Panigrahy, Xin Wang

ICLR 2023 AutoGT: Automated Graph Transformer Architecture Search Zizhao Zhang, Xin Wang, Chaoyu Guan, Ziwei Zhang, Haoyang Li, Wenwu Zhu

CVPR 2023 CIMI4D: A Large Multimodal Climbing Motion Dataset Under Human-Scene Interactions Ming Yan, Xin Wang, Yudi Dai, Siqi Shen, Chenglu Wen, Lan Xu, Yuexin Ma, Cheng Wang

IJCAI 2023 Controlling Neural Style Transfer with Deep Reinforcement Learning Chengming Feng, Jing Hu, Xin Wang, Shu Hu, Bin Zhu, Xi Wu, Hongtu Zhu, Siwei Lyu

ICML 2023 Curriculum Co-Disentangled Representation Learning Across Multiple Environments for Social Recommendation Xin Wang, Zirui Pan, Yuwei Zhou, Hong Chen, Chendi Ge, Wenwu Zhu

IJCAI 2023 Curriculum Graph Machine Learning: A Survey Haoyang Li, Xin Wang, Wenwu Zhu

AAAI 2023 Curriculum Multi-Negative Augmentation for Debiased Video Grounding Xiaohan Lan, Yitian Yuan, Hong Chen, Xin Wang, Zequn Jie, Lin Ma, Zhi Wang, Wenwu Zhu

ICCV 2023 Decouple Before Interact: Multi-Modal Prompt Learning for Continual Visual Question Answering Zi Qian, Xin Wang, Xuguang Duan, Pengda Qin, Yuhong Li, Wenwu Zhu

CVPR 2023 Doubly Right Object Recognition: A Why Prompt for Visual Rationales Chengzhi Mao, Revant Teotia, Amrutha Sundar, Sachit Menon, Junfeng Yang, Xin Wang, Carl Vondrick

AAAI 2023 Dynamic Heterogeneous Graph Attention Neural Architecture Search Zeyang Zhang, Ziwei Zhang, Xin Wang, Yijian Qin, Zhou Qin, Wenwu Zhu

NeurIPSW 2023 Graph Meets LLMs: Towards Large Graph Models Ziwei Zhang, Haoyang Li, Zeyang Zhang, Yijian Qin, Xin Wang, Wenwu Zhu

ICCV 2023 HDG-ODE: A Hierarchical Continuous-Time Model for Human Pose Forecasting Yucheng Xing, Xin Wang

CVPRW 2023 Harnessing the Power of Text-Image Contrastive Models for Automatic Detection of Online Misinformation Hao Chen, Peng Zheng, Xin Wang, Shu Hu, Bin Zhu, Jinrong Hu, Xi Wu, Siwei Lyu

ICCV 2023 HoloAssist: An Egocentric Human Interaction Dataset for Interactive AI Assistants in the Real World Xin Wang, Taein Kwon, Mahdi Rad, Bowen Pan, Ishani Chakraborty, Sean Andrist, Dan Bohus, Ashley Feniello, Bugra Tekin, Felipe Vieira Frujeri, Neel Joshi, Marc Pollefeys

AAAI 2023 JR2Net: Joint Monocular 3D Face Reconstruction and Reenactment Jiaxiang Shang, Yu Zeng, Xin Qiao, Xin Wang, Runze Zhang, Guangyuan Sun, Vishal Patel, Hongbo Fu

NeurIPS 2023 Joint Data-Task Generation for Auxiliary Learning Hong Chen, Xin Wang, Yuwei Zhou, Yijian Qin, Chaoyu Guan, Wenwu Zhu

NeurIPS 2023 Multi-Task Graph Neural Architecture Search with Task-Aware Collaboration and Curriculum Yijian Qin, Xin Wang, Ziwei Zhang, Hong Chen, Wenwu Zhu

CVPRW 2023 NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Lei Yu, Youwei Li, Xinpeng Li, Ting Jiang, Qi Wu, Mingyan Han, Wenjie Lin, Chengzhi Jiang, Jinting Luo, Haoqiang Fan, Shuaicheng Liu, Yucong Wang, Minjie Cai, Mingxi Li, Yuhang Zhang, Xianjun Fan, Yankai Sheng, Yanyu Mao, Nihao Zhang, Qian Wang, Mingjun Zheng, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Zhongbao Yang, Yan Wang, Erlin Pan, Qixuan Cai, Xinan Dai, Magauiya Zhussip, Nikolay Kalyazin, Dmitry Vyal, Xueyi Zou, Youliang Yan, Heaseo Chung, Jin Zhang, Gaocheng Yu, Feng Zhang, Hongbin Wang, Bohao Liao, Zhibo Du, Yu-Liang Wu, Gege Shi, Long Peng, Yang Wang, Yang Cao, Zhengjun Zha, Zhi-Kai Huang, Yi-Chung Chen, Yuan-Chun Chiang, Hao-Hsiang Yang, Wei-Ting Chen, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Xin Liu, Jiahao Pan, Hongyuan Yu, Weichen Yu, Lin Ge, Jiahua Dong, Yajun Zou, Zhuoyuan Wu, Binnan Han, Xiaolin Zhang, Heng Zhang, Xuanwu Yin, Kunlong Zuo, Weijian Deng, Hongjie Yuan, Zengtong Lu, Mingyu Ouyang, Wenzhuo Ma, Nian Liu, Hanyou Zheng, Yuantong Zhang, Junxi Zhang, Zhenzhong Chen, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Yurui Zhu, Xi Wang, Xueyang Fu, Zheng-Jun Zha, Daheng Yin, Mengyang Liu, Baijun Chen, Ao Li, Lei Luo, Kangjun Jin, Ce Zhu, Xiaoming Zhang, Chengxing Xie, Linze Li, Haiteng Meng, Tianlin Zhang, Tianrui Li, Xiaole Zhao, Zhao Zhang, Baiang Li, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Jiahuan Ren, Kang Hu, Jingpeng Shi, Zhijian Wu, Dingjiang Huang, Jinchen Zhu, Hui Li, Qianru Xv, Tianle Liu, Gang Wu, Junpeng Jiang, Xianming Liu, Junjun Jiang, Mingjian Zhang, Shizhuang Weng, Jing Hu, Chengxu Wu, Qinrui Fan, Chengming Feng, Ziwei Luo, Shu Hu, Siwei Lyu, Xi Wu, Xin Wang

ACML 2023 Outlier Robust Adversarial Training Shu Hu, Zhenhuan Yang, Xin Wang, Yiming Ying, Siwei Lyu

NeurIPS 2023 Public Opinion Field Effect Fusion in Representation Learning for Trending Topics Diffusion Junliang Li, Yang Yajun, Qinghua Hu, Xin Wang, Hong Gao

AAAI 2023 Reducing Sentiment Bias in Pre-Trained Sentiment Classification via Adaptive Gumbel Attack Jiachen Tian, Shizhan Chen, Xiaowang Zhang, Xin Wang, Zhiyong Feng

WACV 2023 Scaling Novel Object Detection with Weakly Supervised Detection Transformers Tyler LaBonte, Yale Song, Xin Wang, Vibhav Vineet, Neel Joshi

NeurIPS 2023 Spectral Invariant Learning for Dynamic Graphs Under Distribution Shifts Zeyang Zhang, Xin Wang, Ziwei Zhang, Zhou Qin, Weigao Wen, Hui Xue', Haoyang Li, Wenwu Zhu

NeurIPS 2023 Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks Hao-Kai Zhang, Chenghong Zhu, Mingrui Jing, Xin Wang

CVPR 2023 Top-Down Visual Attention from Analysis by Synthesis Baifeng Shi, Trevor Darrell, Xin Wang

ICLR 2023 Understanding Zero-Shot Adversarial Robustness for Large-Scale Models Chengzhi Mao, Scott Geng, Junfeng Yang, Xin Wang, Carl Vondrick

NeurIPS 2023 Unsupervised Graph Neural Architecture Search with Disentangled Self-Supervision Zeyang Zhang, Xin Wang, Ziwei Zhang, Guangyao Shen, Shiqi Shen, Wenwu Zhu

ICML 2023 Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks Xu Chu, Yujie Jin, Xin Wang, Shanghang Zhang, Yasha Wang, Wenwu Zhu, Hong Mei

CVPR 2023 You Do Not Need Additional Priors or Regularizers in Retinex-Based Low-Light Image Enhancement Huiyuan Fu, Wenkai Zheng, Xiangyu Meng, Xin Wang, Chuanming Wang, Huadong Ma

NeurIPS 2022 A Theoretical View on Sparsely Activated Networks Cenk Baykal, Nishanth Dikkala, Rina Panigrahy, Cyrus Rashtchian, Xin Wang

ICML 2022 Auxiliary Learning with Joint Task and Data Scheduling Hong Chen, Xin Wang, Chaoyu Guan, Yue Liu, Wenwu Zhu

NeurIPS 2022 Concentration of Data Encoding in Parameterized Quantum Circuits Guangxi Li, Ruilin Ye, Xuanqiang Zhao, Xin Wang

ECCV 2022 Context-Aware Streaming Perception in Dynamic Environments Gur-Eyal Sela, Ionel Gog, Justin Wong, Kumar Krishna Agrawal, Xiangxi Mo, Sukrit Kalra, Peter Schafhalter, Eric Leong, Xin Wang, Bharathan Balaji, Joseph Gonzalez, Ion Stoica

ECCVW 2022 Cross-Domain Representation Learning for Clothes Unfolding in Robot-Assisted Dressing Jinge Qie, Yixing Gao, Runyang Feng, Xin Wang, Jielong Yang, Esha Dasgupta, Hyung Jin Chang, Yi Chang

CVPR 2022 DETReg: Unsupervised Pretraining with Region Priors for Object Detection Amir Bar, Xin Wang, Vadim Kantorov, Colorado J. Reed, Roei Herzig, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson

ICML 2022 DNA: Domain Generalization with Diversified Neural Averaging Xu Chu, Yujie Jin, Wenwu Zhu, Yasha Wang, Xin Wang, Shanghang Zhang, Hong Mei

NeurIPS 2022 Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift Zeyang Zhang, Xin Wang, Ziwei Zhang, Haoyang Li, Zhou Qin, Wenwu Zhu

NeurIPS 2022 Generalization Bounds for Estimating Causal Effects of Continuous Treatments Xin Wang, Shengfei Lyu, Xingyu Wu, Tianhao Wu, Huanhuan Chen

NeurIPS 2022 Generative Status Estimation and Information Decoupling for Image Rain Removal Di Lin, Xin Wang, Jia Shen, Renjie Zhang, Ruonan Liu, Miaohui Wang, Wuyuan Xie, Qing Guo, Ping Li

ICML 2022 Graph Neural Architecture Search Under Distribution Shifts Yijian Qin, Xin Wang, Ziwei Zhang, Pengtao Xie, Wenwu Zhu

CoRL 2022 Is Anyone There? Learning a Planner Contingent on Perceptual Uncertainty Charles Packer, Nicholas Rhinehart, Rowan Thomas McAllister, Matthew A. Wright, Xin Wang, Jeff He, Sergey Levine, Joseph E. Gonzalez

ICML 2022 Large-Scale Graph Neural Architecture Search Chaoyu Guan, Xin Wang, Hong Chen, Ziwei Zhang, Wenwu Zhu

NeurIPS 2022 Learning Invariant Graph Representations for Out-of-Distribution Generalization Haoyang Li, Ziwei Zhang, Xin Wang, Wenwu Zhu

AAAI 2022 Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum Zeyang Zhang, Ziwei Zhang, Xin Wang, Wenwu Zhu

ECCV 2022 LiDAL: Inter-Frame Uncertainty Based Active Learning for 3D LiDAR Semantic Segmentation Zeyu Hu, Xuyang Bai, Runze Zhang, Xin Wang, Guangyuan Sun, Hongbo Fu, Chiew-Lan Tai

NeurIPS 2022 Module-Aware Optimization for Auxiliary Learning Hong Chen, Xin Wang, Yue Liu, Yuwei Zhou, Chaoyu Guan, Wenwu Zhu

NeurIPS 2022 NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search Yijian Qin, Ziwei Zhang, Xin Wang, Zeyang Zhang, Wenwu Zhu

ECCV 2022 Neural-Sim: Learning to Generate Training Data with NeRF Yunhao Ge, Harkirat Behl, Jiashu Xu, Suriya Gunasekar, Neel Joshi, Yale Song, Xin Wang, Laurent Itti, Vibhav Vineet

AAAI 2022 Orthogonal Graph Neural Networks Kai Guo, Kaixiong Zhou, Xia Hu, Yu Li, Yi Chang, Xin Wang

ICML 2022 Parametric Visual Program Induction with Function Modularization Xuguang Duan, Xin Wang, Ziwei Zhang, Wenwu Zhu

NeurIPS 2022 Power and Limitations of Single-Qubit Native Quantum Neural Networks Zhan Yu, Hongshun Yao, Mujin Li, Xin Wang

CVPR 2022 Robust Contrastive Learning Against Noisy Views Ching-Yao Chuang, R Devon Hjelm, Xin Wang, Vibhav Vineet, Neel Joshi, Antonio Torralba, Stefanie Jegelka, Yale Song

AAAI 2022 Seq2Pat: Sequence-to-Pattern Generation for Constraint-Based Sequential Pattern Mining Xin Wang, Amin Hosseininasab, Pablo Colunga, Serdar Kadioglu, Willem-Jan van Hoeve

NeurIPS 2022 Sketching Based Representations for Robust Image Classification with Provable Guarantees Nishanth Dikkala, Sankeerth Rao Karingula, Raghu Meka, Jelani Nelson, Rina Panigrahy, Xin Wang

AAAI 2022 Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration Ziwei Luo, Jing Hu, Xin Wang, Shu Hu, Bin Kong, Youbing Yin, Qi Song, Xi Wu, Siwei Lyu

JMLR 2022 Sum of Ranked Range Loss for Supervised Learning Shu Hu, Yiming Ying, Xin Wang, Siwei Lyu

CVPR 2022 Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild Xuefeng Du, Xin Wang, Gabriel Gozum, Yixuan Li

NeurIPS 2022 VLMbench: A Compositional Benchmark for Vision-and-Language Manipulation Kaizhi Zheng, Xiaotong Chen, Odest Chadwicke Jenkins, Xin Wang

ICML 2022 Visual Attention Emerges from Recurrent Sparse Reconstruction Baifeng Shi, Yale Song, Neel Joshi, Trevor Darrell, Xin Wang

AISTATS 2021 Sketch Based Memory for Neural Networks Rina Panigrahy, Xin Wang, Manzil Zaheer

ICLR 2021 A Unified Approach to Interpreting and Boosting Adversarial Transferability Xin Wang, Jie Ren, Shuyun Lin, Xiangming Zhu, Yisen Wang, Quanshi Zhang

ICML 2021 AutoAttend: Automated Attention Representation Search Chaoyu Guan, Xin Wang, Wenwu Zhu

ICLRW 2021 AutoGL: A Library for Automated Graph Learning Chaoyu Guan, Ziwei Zhang, Haoyang Li, Heng Chang, Zeyang Zhang, Yijian Qin, Jiyan Jiang, Xin Wang, Wenwu Zhu

IJCAI 2021 Automated Machine Learning on Graphs: A Survey Ziwei Zhang, Xin Wang, Wenwu Zhu

NeurIPS 2021 Curriculum Disentangled Recommendation with Noisy Multi-Feedback Hong Chen, Yudong Chen, Xin Wang, Ruobing Xie, Rui Wang, Feng Xia, Wenwu Zhu

NeurIPS 2021 Disentangled Contrastive Learning on Graphs Haoyang Li, Xin Wang, Ziwei Zhang, Zehuan Yuan, Hang Li, Wenwu Zhu

ICCV 2021 Distilling Holistic Knowledge with Graph Neural Networks Sheng Zhou, Yucheng Wang, Defang Chen, Jiawei Chen, Xin Wang, Can Wang, Jiajun Bu

ICML 2021 Explainable Automated Graph Representation Learning with Hyperparameter Importance Xin Wang, Shuyi Fan, Kun Kuang, Wenwu Zhu

NeurIPS 2021 Graph Differentiable Architecture Search with Structure Learning Yijian Qin, Xin Wang, Zeyang Zhang, Wenwu Zhu

ICCV 2021 Interpreting Attributions and Interactions of Adversarial Attacks Xin Wang, Shuyun Lin, Hao Zhang, Yufei Zhu, Quanshi Zhang

NeurIPS 2021 Not All Low-Pass Filters Are Robust in Graph Convolutional Networks Heng Chang, Yu Rong, Tingyang Xu, Yatao Bian, Shiji Zhou, Xin Wang, Junzhou Huang, Wenwu Zhu

ICLR 2021 One Network Fits All? Modular Versus Monolithic Task Formulations in Neural Networks Atish Agarwala, Abhimanyu Das, Brendan Juba, Rina Panigrahy, Vatsal Sharan, Xin Wang, Qiuyi Zhang

CVPR 2021 Online Learning of a Probabilistic and Adaptive Scene Representation Zike Yan, Xin Wang, Hongbin Zha

ICCV 2021 Robust Object Detection via Instance-Level Temporal Cycle Confusion Xin Wang, Thomas E. Huang, Benlin Liu, Fisher Yu, Xiaolong Wang, Joseph E. Gonzalez, Trevor Darrell

IJCAI 2021 Stochastic Actor-Executor-Critic for Image-to-Image Translation Ziwei Luo, Jing Hu, Xin Wang, Siwei Lyu, Bin Kong, Youbing Yin, Qi Song, Xi Wu

ICCV 2021 TkML-AP: Adversarial Attacks to Top-K Multi-Label Learning Shu Hu, Lipeng Ke, Xin Wang, Siwei Lyu

NeurIPS 2021 Towards a Unified Game-Theoretic View of Adversarial Perturbations and Robustness Jie Ren, Die Zhang, Yisen Wang, Lu Chen, Zhanpeng Zhou, Yiting Chen, Xu Cheng, Xin Wang, Meng Zhou, Jie Shi, Quanshi Zhang

ICCV 2021 VMNet: Voxel-Mesh Network for Geodesic-Aware 3D Semantic Segmentation Zeyu Hu, Xuyang Bai, Jiaxiang Shang, Runze Zhang, Jiayu Dong, Xin Wang, Guangyuan Sun, Hongbo Fu, Chiew-Lan Tai

AAAI 2021 VSQL: Variational Shadow Quantum Learning for Classification Guangxi Li, Zhixin Song, Xin Wang

ICCV 2021 Wanderlust: Online Continual Object Detection in the Real World Jianren Wang, Xin Wang, Yue Shang-Guan, Abhinav Gupta

AAAI 2020 Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning Yingru Liu, Xuewen Yang, Dongliang Xie, Xin Wang, Li Shen, Haozhi Huang, Niranjan Balasubramanian

AAAI 2020 Attention-Guide Walk Model in Heterogeneous Information Network for Multi-Style Recommendation Explanation Xin Wang, Ying Wang, Yunzhi Ling

IJCAI 2020 Classification with Rejection: Scaling Generative Classifiers with Supervised Deep Infomax Xin Wang, Siu-Ming Yiu

AAAI 2020 DGE: Deep Generative Network Embedding Based on Commonality and Individuality Sheng Zhou, Xin Wang, Jiajun Bu, Martin Ester, Pinggang Yu, Jiawei Chen, Qihao Shi, Can Wang

ECCV 2020 Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards Xuewen Yang, Heming Zhang, Di Jin, Yingru Liu, Chi-Hao Wu, Jianchao Tan, Dongliang Xie, Jue Wang, Xin Wang

ICML 2020 Frustratingly Simple Few-Shot Object Detection Xin Wang, Thomas Huang, Joseph Gonzalez, Trevor Darrell, Fisher Yu

ICLR 2020 Fully Convolutional Graph Neural Networks Using Bipartite Graph Convolutions Marcel Nassar, Xin Wang, Evren Tumer

AAAI 2020 Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, William Yang Wang

ECML-PKDD 2020 Hierarchical Interaction Networks with Rethinking Mechanism for Document-Level Sentiment Analysis Lingwei Wei, Dou Hu, Wei Zhou, Xuehai Tang, Xiaodan Zhang, Xin Wang, Jizhong Han, Songlin Hu

AISTATS 2020 How Fine Can Fine-Tuning Be? Learning Efficient Language Models Evani Radiya-Dixit, Xin Wang

NeurIPS 2020 Learning by Minimizing the Sum of Ranked Range Shu Hu, Yiming Ying, Xin Wang, Siwei Lyu

AAAI 2020 SNEQ: Semi-Supervised Attributed Network Embedding with Attention-Based Quantisation Tao He, Lianli Gao, Jingkuan Song, Xin Wang, Kejie Huang, Yuanfang Li

IJCAI 2020 TransRHS: A Representation Learning Method for Knowledge Graphs with Relation Hierarchical Structure Fuxiang Zhang, Xin Wang, Zhao Li, Jianxin Li

UAI 2019 Deep Mixture of Experts via Shallow Embedding Xin Wang, Fisher Yu, Lisa Dunlap, Yi-An Ma, Ruth Wang, Azalia Mirhoseini, Trevor Darrell, Joseph E. Gonzalez

AAAI 2019 Discrete Social Recommendation Chenghao Liu, Xin Wang, Tao Lu, Wenwu Zhu, Jianling Sun, Steven C. H. Hoi

ICML 2019 Disentangled Graph Convolutional Networks Jianxin Ma, Peng Cui, Kun Kuang, Xin Wang, Wenwu Zhu

IJCAI 2019 Disparity-Preserved Deep Cross-Platform Association for Cross-Platform Video Recommendation Shengze Yu, Xin Wang, Wenwu Zhu, Peng Cui, Jingdong Wang

AAAI 2019 Dynamic Spatial-Temporal Graph Convolutional Neural Networks for Traffic Forecasting Zulong Diao, Xin Wang, Dafang Zhang, Yingru Liu, Kun Xie, Shaoyao He

AISTATS 2019 Generalized Boltzmann Machine with Deep Neural Structure Yingru Liu, Dongliang Xie, Xin Wang

AAAI 2019 Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning Xin Wang, Jiawei Wu, Da Zhang, Yu Su, William Yang Wang

ICMLW 2019 Multi-Task Learning via Task Multi-Clustering Andy Yan, Xin Wang, Ion Stoica, Joseph Gonzalez, Roy Fox

ICML 2019 Parameter Efficient Training of Deep Convolutional Neural Networks by Dynamic Sparse Reparameterization Hesham Mostafa, Xin Wang

AAAI 2019 RS3CIS: Robust Single-Step Spectral Clustering with Intrinsic Subspace Yun Xiao, Pengzhen Ren, Zhihui Li, Xiaojiang Chen, Xin Wang, Dingyi Fang

AAAI 2019 Recursively Learning Causal Structures Using Regression-Based Conditional Independence Test Hao Zhang, Shuigeng Zhou, Chuanxu Yan, Jihong Guan, Xin Wang

CVPRW 2019 Robustifying Relative Orientations with Respect to Repetitive Structures and Very Short Baselines for Global SfM Xin Wang, Teng Xiao, Michael Gruber, Christian Heipke

UAI 2018 IDK Cascades: Fast Deep Learning by Learning Not to Overthink Xin Wang, Yujia Luo, Daniel Crankshaw, Alexey Tumanov, Fisher Yu, Joseph E. Gonzalez

ECCV 2018 Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation Xin Wang, Wenhan Xiong, Hongmin Wang, William Yang Wang

ECCV 2018 PSDF Fusion: Probabilistic Signed Distance Function for On-the-Fly 3D Data Fusion and Scene Reconstruction Wei Dong, Qiuyuan Wang, Xin Wang, Hongbin Zha

IJCAI 2018 Robust Auto-Weighted Multi-View Clustering Pengzhen Ren, Yun Xiao, Pengfei Xu, Jun Guo, Xiaojiang Chen, Xin Wang, Dingyi Fang

ECCV 2018 SkipNet: Learning Dynamic Routing in Convolutional Networks Xin Wang, Fisher Yu, Zi-Yi Dou, Trevor Darrell, Joseph E. Gonzalez

NeurIPS 2017 Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks Urs Köster, Tristan Webb, Xin Wang, Marcel Nassar, Arjun K Bansal, William Constable, Oguz Elibol, Scott Gray, Stewart Hall, Luke Hornof, Amir Khosrowshahi, Carey Kloss, Ruby J Pai, Naveen Rao

CVPR 2017 Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network for Fast Artistic Style Transfer Xin Wang, Geoffrey Oxholm, Da Zhang, Yuan-Fang Wang

IJCAI 2017 Understanding Users' Budgets for Recommendation with Hierarchical Poisson Factorization Yunhui Guo, Congfu Xu, Hanzhang Song, Xin Wang

AAAI 2016 Co-Regularized PLSA for Multi-Modal Learning Xin Wang, Ming-Ching Chang, Yiming Ying, Siwei Lyu

ECML-PKDD 2016 Collaborative Expert Recommendation for Community-Based Question Answering Congfu Xu, Xin Wang, Yunhui Guo

IJCAI 2016 Constrained Preference Embedding for Item Recommendation Xin Wang, Congfu Xu, Yunhui Guo, Hui Qian

JMLR 2016 Multiplicative Multitask Feature Learning Xin Wang, Jinbo Bi, Shipeng Yu, Jiangwen Sun, Minghu Song

AAAI 2016 Recommending Groups to Users Using User-Group Engagement and Time-Dependent Matrix Factorization Xin Wang, Roger Donaldson, Christopher Nell, Peter Gorniak, Martin Ester, Jiajun Bu

AAAI 2016 Write-Righter: An Academic Writing Assistant System Yuanchao Liu, Xin Wang, Ming Liu, Xiaolong Wang

AAAI 2015 Exploring Social Context for Topic Identification in Short and Noisy Texts Xin Wang, Ying Wang, Wanli Zuo, Guoyong Cai

AAAI 2015 Modeling Status Theory in Trust Prediction Ying Wang, Xin Wang, Jiliang Tang, Wanli Zuo, Guoyong Cai

IJCAI 2015 Recommendation Algorithms for Optimizing Hit Rate, User Satisfaction and Website Revenue Xin Wang, Yunhui Guo, Congfu Xu

NeurIPS 2014 On Multiplicative Multitask Feature Learning Xin Wang, Jinbo Bi, Shipeng Yu, Jiangwen Sun

NeurIPS 2013 On Algorithms for Sparse Multi-Factor NMF Siwei Lyu, Xin Wang

CVPR 2009 Beyond the Graphs: Semi-Parametric Semi-Supervised Discriminant Analysis Fei Wang, Xin Wang, Tao Li

IJCAI 2009 Generalized Cluster Aggregation Fei Wang, Xin Wang, Tao Li

ECML-PKDD 2006 Deconvolutive Clustering of Markov States Ata Kabán, Xin Wang

ICML 2003 Model-Based Policy Gradient Reinforcement Learning Xin Wang, Thomas G. Dietterich

NeurIPS 2001 Batch Value Function Approximation via Support Vectors Thomas G. Dietterich, Xin Wang

NeurIPS 2001 Stabilizing Value Function Approximation with the BFBP Algorithm Xin Wang, Thomas G. Dietterich

ECML-PKDD 2001 Support Vectors for Reinforcement Learning Thomas G. Dietterich, Xin Wang

NeCo 1998 Absence of Cycles in Symmetric Neural Networks Xin Wang, Arun K. Jagota, Fernanda Botelho, Max H. Garzon

NeurIPS 1995 Absence of Cycles in Symmetric Neural Networks Xin Wang, Arun K. Jagota, Fernanda Botelho, Max H. Garzon

NeurIPS 1993 Asynchronous Dynamics of Continuous Time Neural Networks Xin Wang, Qingnan Li, Edward K. Blum