OCEAN: a new opportunistic computing model for wearable activity recognition. - Yiqiang Chen 001; Yang Gu 001; Xinlong Jiang; Jindong Wang 001 (UbiComp Adjunct, 2016)

A Study of Players' Experiences During Brain Games Play. - Faizan Ahmad; Yiqiang Chen 001; Shuangquan Wang; Zhenyu Chen 003; Jianfei Shen; Lisha Hu; Jindong Wang 001 (PRICAI, 2016)

Less Annotation on Personalized Activity Recognition Using Context Data. - Lisha Hu; Yiqiang Chen 001; Shuangquan Wang; Jindong Wang 001; Jianfei Shen; Xinlong Jiang; Zhiqi Shen 001 (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld, 2016)

Balanced Distribution Adaptation for Transfer Learning. - Jindong Wang 001; Yiqiang Chen 001; Shuji Hao; Wenjie Feng 001; Zhiqi Shen 001 (ICDM, 2017)

Weak multipath effect identification for indoor distance estimation. - Xiaohai Li; Yiqiang Chen 001; Zhongdong Wu; Xiaohui Peng 002; Jindong Wang 001; Lisha Hu; Diancun Yu (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

BrainStorm: a psychosocial game suite design for non-invasive cross-generational cognitive capabilities data collection. - Faizan Ahmad; Yiqiang Chen 001; Lisha Hu; Shuangquan Wang; Jindong Wang 001; Zhenyu Chen 003; Xinlong Jiang; Jianfei Shen (J. Exp. Theor. Artif. Intell., 2017)

Deep Transfer Learning for Cross-domain Activity Recognition. - Jindong Wang 001; Vincent W. Zheng; Yiqiang Chen 001; Meiyu Huang (ICCSE, 2018)

Visual Domain Adaptation with Manifold Embedded Distribution Alignment. - Jindong Wang 001; Wenjie Feng 001; Yiqiang Chen 001; Han Yu 001; Meiyu Huang; Philip S. Yu (ACM Multimedia, 2018)

Stratified Transfer Learning for Cross-domain Activity Recognition. - Jindong Wang 001; Yiqiang Chen 001; Lisha Hu; Xiaohui Peng 002; Philip S. Yu (PerCom, 2018)

OKRELM: online kernelized and regularized extreme learning machine for wearable-based activity recognition. - Lisha Hu; Yiqiang Chen 001; Jindong Wang 001; Chunyu Hu 001; Xinlong Jiang (Int. J. Mach. Learn. Cybern., 2018)

Transfer Learning with Dynamic Adversarial Adaptation Network. - Chaohui Yu; Jindong Wang 001; Yiqiang Chen 001; Meiyu Huang (ICDM, 2019)

Easy Transfer Learning By Exploiting Intra-Domain Structures. - Jindong Wang 001; Yiqiang Chen 001; Han Yu 001; Meiyu Huang; Qiang Yang 001 (ICME, 2019)

Accelerating Deep Unsupervised Domain Adaptation with Transfer Channel Pruning. - Chaohui Yu; Jindong Wang 001; Yiqiang Chen 001; Zijing Wu (IJCNN, 2019)

Transfer Channel Pruning for Compressing Deep Domain Adaptation Models. - Chaohui Yu; Jindong Wang 001; Yiqiang Chen 001; Zijing Wu (PAKDD (Workshops), 2019)

DrowsyDet: A Mobile Application for Real-time Driver Drowsiness Detection. - Chaohui Yu; Xin Qin; Yiqiang Chen 001; Jindong Wang 001; Chenchen Fan (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

Cross-Dataset Activity Recognition via Adaptive Spatial-Temporal Transfer Learning. - Xin Qin; Yiqiang Chen 001; Jindong Wang 001; Chaohui Yu (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019)

Transfer channel pruning for compressing deep domain adaptation models. - Chaohui Yu; Jindong Wang 001; Yiqiang Chen 001; Xin Qin (Int. J. Mach. Learn. Cybern., 2019)

Multi-representation adaptation network for cross-domain image classification. - Yongchun Zhu; Fuzhen Zhuang; Jindong Wang 001; Jingwu Chen; Zhiping Shi 002; Wenjuan Wu; Qing He 003 (Neural Networks, 2019)

Cross-position activity recognition with stratified transfer learning. - Yiqiang Chen 001; Jindong Wang 001; Meiyu Huang; Han Yu 001 (Pervasive Mob. Comput., 2019)

Deep learning for sensor-based activity recognition: A survey. - Jindong Wang 001; Yiqiang Chen 001; Shuji Hao; Xiaohui Peng 002; Lisha Hu (Pattern Recognit. Lett., 2019)

Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation. - Renjun Xu; Pelen Liu; Liyan Wang; Chao Chen 026; Jindong Wang 001 (CVPR, 2020)

Joint Partial Optimal Transport for Open Set Domain Adaptation. - Renjun Xu; Pelen Liu; Yin Zhang; Fang Cai; Jindong Wang 001; Shuoying Liang; Heting Ying; Jianwei Yin (IJCAI, 2020)

Learning to Match Distributions for Domain Adaptation. - Chaohui Yu; Jindong Wang 001; Chang Liu 030; Tao Qin 001; Renjun Xu; Wenjie Feng 001; Yiqiang Chen 001; Tie-Yan Liu (CoRR, 2020)

Learning Causal Semantic Representation for Out-of-Distribution Prediction. - Chang Liu 030; Xinwei Sun 001; Jindong Wang 001; Tao Li 040; Tao Qin 001; Wei Chen 034; Tie-Yan Liu (CoRR, 2020)

FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare. - Yiqiang Chen 001; Xin Qin; Jindong Wang 001; Chaohui Yu; Wen Gao 001 (IEEE Intell. Syst., 2020)

Transfer Learning with Dynamic Distribution Adaptation. - Jindong Wang 001; Yiqiang Chen 001; Wenjie Feng 001; Han Yu 001; Meiyu Huang; Qiang Yang 001 (ACM Trans. Intell. Syst. Technol., 2020)

AdaRNN: Adaptive Learning and Forecasting of Time Series. - Yuntao Du 001; Jindong Wang 001; Wenjie Feng 001; Sinno Jialin Pan; Tao Qin 001; Renjun Xu; Chongjun Wang (CIKM, 2021)

MixSpeech: Data Augmentation for Low-Resource Automatic Speech Recognition. - Linghui Meng 001; Jin Xu 010; Xu Tan 003; Jindong Wang 001; Tao Qin 001; Bo Xu 002 (ICASSP, 2021)

Generalizing to Unseen Domains: A Survey on Domain Generalization. - Jindong Wang 001; Cuiling Lan; Chang Liu 030; Yidong Ouyang; Tao Qin 001 (IJCAI, 2021)

Cross-Domain Speech Recognition with Unsupervised Character-Level Distribution Matching. - Wenxin Hou; Jindong Wang 001; Xu Tan 003; Tao Qin 001; Takahiro Shinozaki (Interspeech, 2021)

Learning Causal Semantic Representation for Out-of-Distribution Prediction. - Chang Liu 030; Xinwei Sun 001; Jindong Wang 001; Haoyue Tang; Tao Li 040; Tao Qin 001; Wei Chen 034; Tie-Yan Liu (NeurIPS, 2021)

FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling. - Bowen Zhang; Yidong Wang; Wenxin Hou; Hao Wu 059; Jindong Wang 001; Manabu Okumura; Takahiro Shinozaki (NeurIPS, 2021)

Learning Invariant Representations across Domains and Tasks. - Jindong Wang 001; Wenjie Feng 001; Chang Liu 030; Chaohui Yu; Mingxuan Du; Renjun Xu; Tao Qin 001; Tie-Yan Liu (CoRR, 2021)

FedHealth 2: Weighted Federated Transfer Learning via Batch Normalization for Personalized Healthcare. - Yiqiang Chen 001; Wang Lu; Jindong Wang 001; Xin Qin (CoRR, 2021)

Wav2vec-S: Semi-Supervised Pre-Training for Speech Recognition. - Han Zhu 004; Li Wang; Ying Hou; Jindong Wang 001; Gaofeng Cheng; Pengyuan Zhang; Yonghong Yan 002 (CoRR, 2021)

Federated Learning with Adaptive Batchnorm for Personalized Healthcare. - Yiqiang Chen 001; Wang Lu; Jindong Wang 001; Xin Qin; Tao Qin 001 (CoRR, 2021)

Cross-domain activity recognition via substructural optimal transport. - Wang Lu; Yiqiang Chen 001; Jindong Wang 001; Xin Qin (Neurocomputing, 2021)

Deep Subdomain Adaptation Network for Image Classification. - Yongchun Zhu; Fuzhen Zhuang; Jindong Wang 001; Guolin Ke; Jingwu Chen; Jiang Bian 002; Hui Xiong 001; Qing He 003 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Margin Calibration for Long-Tailed Visual Recognition. - Yidong Wang; Bowen Zhang; Wenxin Hou; Zhen Wu 002; Jindong Wang 001; Takahiro Shinozaki (ACML, 2022)

Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction. - Yidong Wang; Hao Wu 059; Ao Liu 008; Wenxin Hou; Zhen Wu 002; Jindong Wang 001; Takahiro Shinozaki; Manabu Okumura; Yue Zhang 004 (COLING, 2022)

Local and Global Alignments for Generalizable Sensor-Based Human Activity Recognition. - Wang Lu; Jindong Wang 001; Yiqiang Chen 001 (ICASSP, 2022)

ReMoS: Reducing Defect Inheritance in Transfer Learning via Relevant Model Slicing. - Ziqi Zhang; Yuanchun Li; Jindong Wang 001; Bingyan Liu; Ding Li 001; Yao Guo 001; Xiangqun Chen; Yunxin Liu (ICSE, 2022)

Wav2vec-S: Semi-Supervised Pre-Training for Low-Resource ASR. - Han Zhu 004; Li Wang; Gaofeng Cheng; Jindong Wang 001; Pengyuan Zhang; Yonghong Yan 002 (INTERSPEECH, 2022)

Decoupled Federated Learning for ASR with Non-IID Data. - Han Zhu 004; Jindong Wang 001; Gaofeng Cheng; Pengyuan Zhang; Yonghong Yan 002 (INTERSPEECH, 2022)

USB: A Unified Semi-supervised Learning Benchmark for Classification. - Yidong Wang; Hao Chen 102; Yue Fan; Wang Sun; Ran Tao 013; Wenxin Hou; Renjie Wang; Linyi Yang; Zhi Zhou 007; Lan-Zhe Guo; Heli Qi; Zhen Wu 002; et al. (NeurIPS, 2022)

DOPNet: Dynamic Optimized Pruning Net for Model Compression. - Xiaohai Li; Weiwei Dai; Yiqiang Chen 001; Jindong Wang 001 (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Equivariant Disentangled Transformation for Domain Generalization under Combination Shift. - Yivan Zhang; Jindong Wang 001; Xing Xie 001; Masashi Sugiyama (CoRR, 2022)

USB: A Unified Semi-supervised Learning Benchmark. - Yidong Wang; Hao Chen 102; Yue Fan; Wang Sun; Ran Tao 013; Wenxin Hou; Renjie Wang; Linyi Yang; Zhi Zhou 007; Lan-Zhe Guo; Heli Qi; Zhen Wu 002; et al. (CoRR, 2022)

Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets. - Hao Chen 102; Ran Tao 013; Han Zhang 048; Yidong Wang; Wei Ye 004; Jindong Wang 001; Guosheng Hu; Marios Savvides (CoRR, 2022)

Domain-Specific Risk Minimization. - Yifan Zhang 004; Jindong Wang 001; Zhang Zhang 001; Baosheng Yu; Liang Wang 001; Dacheng Tao; Xing Xie 001 (CoRR, 2022)

Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution. - Wang Lu; Jindong Wang 001; Yidong Wang; Kan Ren; Yiqiang Chen 001; Xing Xie 001 (CoRR, 2022)

Semantic-Discriminative Mixup for Generalizable Sensor-based Cross-domain Activity Recognition. - Wang Lu; Jindong Wang 001; Yiqiang Chen 001; Sinno Jialin Pan; Chunyu Hu 001; Xin Qin (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

Hierarchical knowledge amalgamation with dual discriminative feature alignment. - Renjun Xu; Shuoying Liang; Lanyu Wen; Zhitong Guo; Xinyue Huang; Mingli Song; Jindong Wang 001; Xiaoxiao Xu; Huajun Chen (Inf. Sci., 2022)

Exploiting Adapters for Cross-Lingual Low-Resource Speech Recognition. - Wenxin Hou; Han Zhu 004; Yidong Wang; Jindong Wang 001; Tao Qin 001; Renjun Xu; Takahiro Shinozaki (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Domain-invariant Feature Exploration for Domain Generalization. - Wang Lu; Jindong Wang 001; Haoliang Li; Yiqiang Chen 001; Xing Xie 001 (Trans. Mach. Learn. Res., 2022)

GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective. - Linyi Yang; Shuibai Zhang; Libo Qin 003; Yafu Li; Yidong Wang; Hanmeng Liu; Jindong Wang 001; Xing Xie 001; Yue Zhang 004 (ACL (Findings), 2023)

Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement. - Chao Zhang; Fangzhao Wu; Jingwei Yi; Derong Xu; Yang Yu 038; Jindong Wang 001; Yidong Wang; Tong Xu 001; Xing Xie 001; Enhong Chen (CIKM, 2023)

Out-of-Distribution Generalization in Natural Language Processing: Past, Present, and Future. - Linyi Yang; Yaoxian Song; Xuan Ren; Chenyang Lyu; Yidong Wang; Jingming Zhuo; Lingqiao Liu; Jindong Wang 001; Jennifer Foster; Yue Zhang 004 (EMNLP, 2023)

Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning. - Kaijie Zhu; Xixu Hu; Jindong Wang 001; Xing Xie 001; Ge Yang 002 (ICCV, 2023)

SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning. - Hao Chen 102; Ran Tao 013; Yue Fan; Yidong Wang; Jindong Wang 001; Bernt Schiele; Xing Xie 001; Bhiksha Raj; Marios Savvides (ICLR, 2023)

Out-of-distribution Representation Learning for Time Series Classification. - Wang Lu; Jindong Wang 001; Xinwei Sun 001; Yiqiang Chen 001; Xing Xie 001 (ICLR, 2023)

FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning. - Yidong Wang; Hao Chen 102; Qiang Heng; Wenxin Hou; Yue Fan; Zhen Wu 002; Jindong Wang 001; Marios Savvides; Takahiro Shinozaki; Bhiksha Raj; Bernt Schiele; Xing Xie 001 (ICLR, 2023)

Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning. - Xin Qin; Jindong Wang 001; Shuo Ma 001; Wang Lu; Yongchun Zhu; Xing Xie 001; Yiqiang Chen 001 (KDD, 2023)

Trustworthy Machine Learning: Robustness, Generalization, and Interpretability. - Jindong Wang 001; Haoliang Li; Haohan Wang; Sinno Jialin Pan; Xing Xie 001 (KDD, 2023)

Domain-Specific Risk Minimization for Domain Generalization. - Yifan Zhang 004; Jindong Wang 001; Jian Liang 001; Zhang Zhang 001; Baosheng Yu; Liang Wang 001; Dacheng Tao; Xing Xie 001 (KDD, 2023)

Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution. - Wang Lu; Jindong Wang 001; Yidong Wang; Xing Xie 001 (CDPD, 2023)

Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models. - Andy Zhou; Jindong Wang 001; Yu-Xiong Wang; Haohan Wang (NeurIPS, 2023)

A Tutorial on Domain Generalization. - Jindong Wang 001; Haoliang Li; Sinno Jialin Pan; Xing Xie 001 (WSDM, 2023)

SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning. - Hao Chen 102; Ran Tao 013; Yue Fan; Yidong Wang; Jindong Wang 001; Bernt Schiele; Xing Xie 001; Bhiksha Raj; Marios Savvides (CoRR, 2023)

Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations. - Hao Chen 102; Ankit Shah 001; Jindong Wang 001; Ran Tao 013; Yidong Wang; Xing Xie 001; Masashi Sugiyama; Rita Singh; Bhiksha Raj (CoRR, 2023)

Out-of-Distribution Generalization in Text Classification: Past, Present, and Future. - Linyi Yang; Yaoxiao Song; Xuan Ren; Chenyang Lyu; Yidong Wang; Lingqiao Liu; Jindong Wang 001; Jennifer Foster; Yue Zhang 004 (CoRR, 2023)

PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts. - Kaijie Zhu; Jindong Wang 001; Jiaheng Zhou; Zichen Wang; Hao Chen 102; Yidong Wang; Linyi Yang; Wei Ye 004; Neil Zhenqiang Gong; Yue Zhang 004; Xing Xie 001 (CoRR, 2023)

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. - Yidong Wang; Zhuohao Yu 001; Zhengran Zeng; Linyi Yang; Cunxiang Wang; Hao Chen 102; Chaoya Jiang; Rui Xie 003; Jindong Wang 001; Xing Xie 001; Wei Ye 004; Shikun Zhang; et al. (CoRR, 2023)

EmotionPrompt: Leveraging Psychology for Large Language Models Enhancement via Emotional Stimulus. - Cheng Li; Jindong Wang 001; Kaijie Zhu; Yixuan Zhang 001; Wenxin Hou; Jianxun Lian; Xing Xie 001 (CoRR, 2023)

Frustratingly Easy Model Generalization by Dummy Risk Minimization. - Juncheng Wang; Jindong Wang 001; Xixu Hu; Shujun Wang; Xing Xie 001 (CoRR, 2023)

From Instructions to Intrinsic Human Values - A Survey of Alignment Goals for Big Models. - Jing Yao; Xiaoyuan Yi; Xiting Wang; Jindong Wang 001; Xing Xie 001 (CoRR, 2023)

DyVal: Graph-informed Dynamic Evaluation of Large Language Models. - Kaijie Zhu; Jiaao Chen; Jindong Wang 001; Neil Zhenqiang Gong; Diyi Yang; Xing Xie 001 (CoRR, 2023)

Meta Semantic Template for Evaluation of Large Language Models. - Yachuan Liu; Liang Chen 001; Jindong Wang 001; Qiaozhu Mei; Xing Xie 001 (CoRR, 2023)

ZooPFL: Exploring Black-box Foundation Models for Personalized Federated Learning. - Wang Lu; Hao Yu; Jindong Wang 001; Damien Teney; Haohan Wang; Yiqiang Chen 001; Qiang Yang 001; Xing Xie 001; Xiangyang Ji (CoRR, 2023)

Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity. - Cunxiang Wang; Xiaoze Liu; Yuanhao Yue; Xiangru Tang; Tianhang Zhang; Cheng Jiayang; Yunzhi Yao; Wenyang Gao; Xuming Hu; Zehan Qi; Yidong Wang; Linyi Yang; et al. (CoRR, 2023)

A Survey of Heterogeneous Transfer Learning. - Runxue Bao; Yiming Sun 004; Yuhe Gao; Jindong Wang 001; Qiang Yang 001; Haifeng Chen; Zhi-Hong Mao; Ye Ye 002 (CoRR, 2023)

CompeteAI: Understanding the Competition Behaviors in Large Language Model-based Agents. - Qinlin Zhao; Jindong Wang 001; Yixuan Zhang 001; Yiqiao Jin; Kaijie Zhu; Hao Chen 102; Xing Xie 001 (CoRR, 2023)

Enhancing Few-shot CLIP with Semantic-Aware Fine-Tuning. - Yao Zhu; Yuefeng Chen; Wei Wang 298; Xiaofeng Mao; Xiu Yan; Yue Wang; Zhigang Li 004; Wang Lu; Jindong Wang 001; Xiangyang Ji (CoRR, 2023)

How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation. - Zhongyi Han; Guanglin Zhou; Rundong He; Jindong Wang 001; Tailin Wu; Yilong Yin; Salman H. Khan 001; Lina Yao 001; Tongliang Liu; Kun Zhang 001 (CoRR, 2023)

FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning. - Wang Lu; Xixu Hu; Jindong Wang 001; Xing Xie 001 (IEEE Data Eng. Bull., 2023)

Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals. - Yuxin Zhang; Yiqiang Chen 001; Jindong Wang 001; Zhiwen Pan (IEEE Trans. Knowl. Data Eng., 2023)

Domain Generalization for Activity Recognition via Adaptive Feature Fusion. - Xin Qin; Jindong Wang 001; Yiqiang Chen 001; Wang Lu; Xinlong Jiang (ACM Trans. Intell. Syst. Technol., 2023)

A Mutual Learning Framework for Pruned and Quantized Networks. - Xiaohai Li; Yiqiang Chen 001; Jindong Wang 001 (J. Comput. Sci. Technol., 2023)

Memory-Guided Multi-View Multi-Domain Fake News Detection. - Yongchun Zhu; Qiang Sheng 001; Juan Cao 001; Qiong Nan; Kai Shu; Minghui Wu 001; Jindong Wang 001; Fuzhen Zhuang (IEEE Trans. Knowl. Data Eng., 2023)

Generalizing to Unseen Domains: A Survey on Domain Generalization. - Jindong Wang 001; Cuiling Lan; Chang Liu 030; Yidong Ouyang; Tao Qin 001; Wang Lu; Yiqiang Chen 001; Wenjun Zeng 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2023)

Optimization-Free Test-Time Adaptation for Cross-Person Activity Recognition. - Shuoyuan Wang; Jindong Wang 001; Huajun Xi; Bob Zhang 001; Lei Zhang 130; Hongxin Wei (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

Adaptive Memory Networks With Self-Supervised Learning for Unsupervised Anomaly Detection. - Yuxin Zhang; Jindong Wang 001; Yiqiang Chen 001; Han Yu 001; Tao Qin 001 (IEEE Trans. Knowl. Data Eng., 2023)

MM-SOC: Benchmarking Multimodal Large Language Models in Social Media Platforms. - Yiqiao Jin; Minje Choi; Gaurav Verma; Jindong Wang 001; Srijan Kumar (ACL (Findings), 2024)

LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting. - Haoxin Liu 001; Zhiyuan Zhao 002; Jindong Wang 001; Harshavardhan Kamarthi; B. Aditya Prakash (ACL (Findings), 2024)

Detoxifying Large Language Models via Knowledge Editing. - Mengru Wang; Ningyu Zhang 001; Ziwen Xu; Zekun Xi; Shumin Deng; Yunzhi Yao; Qishen Zhang; Linyi Yang; Jindong Wang 001; Huajun Chen (ACL (1), 2024)

KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models. - Zhuohao Yu 001; Chang Gao; Wenjin Yao; Yidong Wang; Wei Ye 004; Jindong Wang 001; Xing Xie 001; Yue Zhang 004; Shikun Zhang (ACL (1), 2024)

FIXED: Frustratingly Easy Domain Generalization with Mixup. - Wang Lu; Jindong Wang 001; Han Yu 001; Lei Huang; Xiang Zhang; Yiqiang Chen 001; Xing Xie 001 (CPAL, 2024)

Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets. - Hao Chen 102; Ran Tao 013; Han Zhang 048; Yidong Wang; Xiang Li 106; Wei Ye 004; Jindong Wang 001; Guosheng Hu; Marios Savvides (CVPR Workshops, 2024)

SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization. - Xixu Hu; Runkai Zheng; Jindong Wang 001; Cheuk Hang Leung; Qi Wu 009; Xing Xie 001 (ECCV (54), 2024)

AgentReview: Exploring Peer Review Dynamics with LLM Agents. - Yiqiao Jin; Qinlin Zhao; Yiyang Wang; Hao Chen 102; Kaijie Zhu; Yijia Xiao; Jindong Wang 001 (EMNLP, 2024)

RESTful-Llama: Connecting User Queries to RESTful APIs. - Han Xu 014; Ruining Zhao; Jindong Wang 001; Haipeng Chen 001 (EMNLP (Industry Track), 2024)

Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks. - Hao Chen 102; Jindong Wang 001; Ankit Shah 001; Ran Tao 013; Hongxin Wei; Xing Xie 001; Masashi Sugiyama; Bhiksha Raj (ICLR, 2024)

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. - Yidong Wang; Zhuohao Yu 001; Wenjin Yao; Zhengran Zeng; Linyi Yang; Cunxiang Wang; Hao Chen 102; Chaoya Jiang; Rui Xie 003; Jindong Wang 001; Xing Xie 001; Wei Ye 004; et al. (ICLR, 2024)

Supervised Knowledge Makes Large Language Models Better In-context Learners. - Linyi Yang; Shuibai Zhang; Zhuohao Yu 001; Guangsheng Bao; Yidong Wang; Jindong Wang 001; Ruochen Xu; Wei Ye 004; Xing Xie 001; Weizhu Chen; Yue Zhang 004 (ICLR, 2024)

DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks. - Kaijie Zhu; Jiaao Chen; Jindong Wang 001; Neil Zhenqiang Gong; Diyi Yang; Xing Xie 001 (ICLR, 2024)

Position: What Can Large Language Models Tell Us about Time Series Analysis. - Ming Jin 005; Yifan Zhang 004; Wei Chen 070; Kexin Zhang 007; Yuxuan Liang; Bin Yang 002; Jindong Wang 001; Shirui Pan; Qingsong Wen (ICML, 2024)

A General Framework for Learning from Weak Supervision. - Hao Chen 102; Jindong Wang 001; Lei Feng 006; Xiang Li 106; Yidong Wang; Xing Xie 001; Masashi Sugiyama; Rita Singh; Bhiksha Raj (ICML, 2024)

Position: TrustLLM: Trustworthiness in Large Language Models. - Yue Huang; Lichao Sun 001; Haoran Wang 005; Siyuan Wu 001; Qihui Zhang; Yuan Li; Chujie Gao; Yixin Huang; Wenhan Lyu; Yixuan Zhang; Xiner Li; Hanchi Sun; et al. (ICML, 2024)

The Good, The Bad, and Why: Unveiling Emotions in Generative AI. - Cheng Li; Jindong Wang 001; Yixuan Zhang 001; Kaijie Zhu; Xinyi Wang; Wenxin Hou; Jianxun Lian; Fang Luo; Qiang Yang 001; Xing Xie 001 (ICML, 2024)

Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup. - Damien Teney; Jindong Wang 001; Ehsan Abbasnejad (ICML, 2024)

Open-Vocabulary Calibration for Fine-tuned CLIP. - Shuoyuan Wang; Jindong Wang 001; Guoqing Wang; Bob Zhang 001; Kaiyang Zhou; Hongxin Wei (ICML, 2024)

CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents. - Qinlin Zhao; Jindong Wang 001; Yixuan Zhang 001; Yiqiao Jin; Kaijie Zhu; Hao Chen 102; Xing Xie 001 (ICML, 2024)

Dynamic Evaluation of Large Language Models by Meta Probing Agents. - Kaijie Zhu; Jindong Wang 001; Qinlin Zhao; Ruochen Xu; Xing Xie 001 (ICML, 2024)

NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional Stimuli. - Xu Wang; Cheng Li; Yi Chang 001; Jindong Wang 001; Yuan Wu 002 (IJCAI, 2024)

PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts. - Kaijie Zhu; Jindong Wang 001; Jiaheng Zhou; Zichen Wang; Hao Chen 102; Yidong Wang; Linyi Yang; Wei Ye 004; Yue Zhang 004; Neil Gong 001; Xing Xie 001 (LAMPS@CCS, 2024)

Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models. - Lai Wei 005; Zhiquan Tan; Chenghai Li; Jindong Wang 001; Weiran Huang 001 (NeurIPS, 2024)

Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations. - Hao Chen 102; Ankit Shah 001; Jindong Wang 001; Ran Tao 013; Yidong Wang; Xiang Li 106; Xing Xie 001; Masashi Sugiyama; Rita Singh; Bhiksha Raj (NeurIPS, 2024)

Slight Corruption in Pre-training Data Makes Better Diffusion Models. - Hao Chen 102; Yujin Han; Diganta Misra; Xiang Li 106; Kai Hu 010; Difan Zou; Masashi Sugiyama; Jindong Wang 001; Bhiksha Raj (NeurIPS, 2024)

CultureLLM: Incorporating Cultural Differences into Large Language Models. - Cheng Li; Mengzhuo Chen; Jindong Wang 001; Sunayana Sitaram; Xing Xie 001 (NeurIPS, 2024)

CulturePark: Boosting Cross-cultural Understanding in Large Language Models. - Cheng Li; Damien Teney; Linyi Yang; Qingsong Wen; Xing Xie 001; Jindong Wang 001 (NeurIPS, 2024)

ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models. - Jio Oh; Soyeon Kim 001; Junseok Seo; Jindong Wang 001; Ruochen Xu; Xing Xie 001; Steven Whang 001 (NeurIPS, 2024)

Generating Virtual Reality Stroke Gesture Data from Out-of-Distribution Desktop Stroke Gesture Data. - Linping Yuan; Boyu Li; Jindong Wang 001; Huamin Qu; Wei Zeng 004 (VR, 2024)

TrustLLM: Trustworthiness in Large Language Models. - Lichao Sun 001; Yue Huang 001; Haoran Wang 005; Siyuan Wu 001; Qihui Zhang; Chujie Gao; Yixin Huang; Wenhan Lyu; Yixuan Zhang 001; Xiner Li; Zhengliang Liu; Yixin Liu 002; et al. (CoRR, 2024)

Large Language Model Evaluation via Matrix Entropy. - Lai Wei 005; Zhiquan Tan; Chenghai Li; Jindong Wang 001; Weiran Huang 001 (CoRR, 2024)

On Catastrophic Inheritance of Large Foundation Models. - Hao Chen 102; Bhiksha Raj; Xing Xie 001; Jindong Wang 001 (CoRR, 2024)

Position Paper: What Can Large Language Models Tell Us about Time Series Analysis. - Ming Jin 005; Yifan Zhang 004; Wei Chen 070; Kexin Zhang 007; Yuxuan Liang; Bin Yang 002; Jindong Wang 001; Shirui Pan; Qingsong Wen (CoRR, 2024)

DyVal 2: Dynamic Evaluation of Large Language Models by Meta Probing Agents. - Kaijie Zhu; Jindong Wang 001; Qinlin Zhao; Ruochen Xu; Xing Xie 001 (CoRR, 2024)

NPHardEval4V: A Dynamic Reasoning Benchmark of Multimodal Large Language Models. - Lizhou Fan; Wenyue Hua; Xiang Li; Kaijie Zhu; Mingyu Jin; Lingyao Li; Haoyang Ling; Jinkui Chi; Jindong Wang 001; Xin Ma; Yongfeng Zhang (CoRR, 2024)

Learning with Noisy Foundation Models. - Hao Chen 102; Jindong Wang 001; Zihan Wang; Ran Tao 013; Hongxin Wei; Xing Xie 001; Masashi Sugiyama; Bhiksha Raj (CoRR, 2024)

FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models. - Zhuohao Yu 001; Chang Gao; Wenjin Yao; Yidong Wang; Zhengran Zeng; Wei Ye 004; Jindong Wang 001; Yue Zhang 004; Shikun Zhang (CoRR, 2024)

Beyond Metrics: Evaluating LLMs' Effectiveness in Culturally Nuanced, Low-Resource Real-World Scenarios. - Millicent Ochieng; Varun Gumma; Sunayana Sitaram; Jindong Wang 001; Vishrav Chaudhary; Keshet Ronen; Kalika Bali; Jacki O'Neill (CoRR, 2024)

Can I understand what I create? Self-Knowledge Evaluation of Large Language Models. - Zhiquan Tan; Lai Wei 005; Jindong Wang 001; Xing Xie 001; Weiran Huang 001 (CoRR, 2024)

Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond. - Minghao Liu 009; Zonglin Di; Jiaheng Wei; Zhongruo Wang; Hengxiang Zhang; Ruixuan Xiao; Haoyu Wang 001; Jinlong Pang; Hao Chen 102; Ankit Shah 001; Hongxin Wei; Xinlei He 001; et al. (CoRR, 2024)

Time Series Analysis for Education: Methods, Applications, and Future Directions. - Shengzhong Mao; Chaoli Zhang 001; Yichi Song; Jindong Wang 001; Xiao-Jun Zeng; Zenglin Xu; Qingsong Wen (CoRR, 2024)

A Survey on Evaluating Large Language Models in Code Generation Tasks. - Liguo Chen; Qi Guo; Hongrui Jia; Zhengran Zeng; Xin Wang; Yijiang Xu; Jian Wu; Yidong Wang; Qing Gao; Jindong Wang 001; Wei Ye 004; Shikun Zhang (CoRR, 2024)

ISC4DGF: Enhancing Directed Grey-box Fuzzing with LLM-Driven Initial Seed Corpus Generation. - Yijiang Xu; Hongrui Jia; Liguo Chen; Xin Wang; Zhengran Zeng; Yidong Wang; Qing Gao; Jindong Wang 001; Wei Ye 004; Shikun Zhang; Zhonghai Wu (CoRR, 2024)

MentalArena: Self-play Training of Language Models for Diagnosis and Treatment of Mental Health Disorders. - Cheng Li; May Fung; Qingyun Wang 005; Chi Han; Manling Li; Jindong Wang 001; Heng Ji 001 (CoRR, 2024)

Scito2M: A 2 Million, 30-Year Cross-disciplinary Dataset for Temporal Scientometric Analysis. - Yiqiao Jin; Yijia Xiao; Yiyang Wang; Jindong Wang 001 (CoRR, 2024)

On the Diversity of Synthetic Data and its Impact on Training Large Language Models. - Hao Chen 102; Abdul Waheed; Xiang Li 106; Yidong Wang; Jindong Wang 001; Bhiksha Raj; Marah I Abdin (CoRR, 2024)

Social Science Meets LLMs: How Reliable Are Large Language Models in Social Simulations? - Yue Huang 001; Zhengqing Yuan; Yujun Zhou 002; Kehan Guo; Xiangqi Wang; Haomin Zhuang; Weixiang Sun; Lichao Sun 001; Jindong Wang 001; Yanfang Ye 001; Xiangliang Zhang 001 (CoRR, 2024)

LLM-GLOBE: A Benchmark Evaluating the Cultural Values Embedded in LLM Output. - Elise Karinshak; Amanda Hu; Kewen Kong; Vishwanatha Rao; Jingren Wang; Jindong Wang 001; Yi Zeng 001 (CoRR, 2024)

Learning from "Silly" Questions Improves Large Language Models, But Only Slightly. - Tingyuan Zhu; Shudong Liu 004; Yidong Wang; Derek F. Wong; Han Yu 001; Takahiro Shinozaki; Jindong Wang 001 (CoRR, 2024)

XQ-GAN: An Open-source Image Tokenization Framework for Autoregressive Generation. - Xiang Li 106; Kai Qiu; Hao Chen 102; Jason Kuen; Jiuxiang Gu; Jindong Wang 001; Zhe Lin; Bhiksha Raj (CoRR, 2024)

Outcome-Refining Process Supervision for Code Generation. - Zhuohao Yu 001; Weizheng Gu; Yidong Wang; Zhengran Zeng; Jindong Wang 001; Wei Ye 004; Shikun Zhang (CoRR, 2024)

Better Think with Tables: Leveraging Tables to Enhance Large Language Model Comprehension. - Jio Oh; Geon Heo; Seungjun Oh; Jindong Wang 001; Xing Xie 001; Steven Euijong Whang (CoRR, 2024)

On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective. - Jindong Wang 001; Xixu Hu; Wenxin Hou; Hao Chen 102; Runkai Zheng; Yidong Wang; Linyi Yang; Wei Ye 004; Haojun Huang; Xiubo Geng; Binxing Jiao; Yue Zhang 004; et al. (IEEE Data Eng. Bull., 2024)

PromptBench: A Unified Library for Evaluation of Large Language Models. - Kaijie Zhu; Qinlin Zhao; Hao Chen 102; Jindong Wang 001; Xing Xie 001 (J. Mach. Learn. Res., 2024)

Boosting Cross-Domain Speech Recognition With Self-Supervision. - Han Zhu 004; Gaofeng Cheng; Jindong Wang 001; Wenxin Hou; Pengyuan Zhang; Yonghong Yan 002 (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Exploring Vision-Language Models for Imbalanced Learning. - Yidong Wang; Zhuohao Yu 001; Jindong Wang 001; Qiang Heng; Hao Chen 102; Wei Ye 004; Rui Xie 003; Xing Xie 001; Shikun Zhang (Int. J. Comput. Vis., 2024)

Diversify: A General Framework for Time Series Out-of-Distribution Detection and Generalization. - Wang Lu; Jindong Wang 001; Xinwei Sun 001; Yiqiang Chen 001; Xiangyang Ji; Qiang Yang 001; Xing Xie 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

A Survey on Evaluation of Large Language Models. - Yupeng Chang; Xu Wang; Jindong Wang 001; Yuan Wu 002; Linyi Yang; Kaijie Zhu; Hao Chen 102; Xiaoyuan Yi; Cunxiang Wang; Yidong Wang; Wei Ye 004; Yue Zhang 004; et al. (ACM Trans. Intell. Syst. Technol., 2024)

MetaFed: Federated Learning Among Federations With Cyclic Knowledge Distillation for Personalized Healthcare. - Yiqiang Chen 001; Wang Lu; Xin Qin; Jindong Wang 001; Xing Xie 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Personalized Federated Learning With Adaptive Batchnorm for Healthcare. - Wang Lu; Jindong Wang 001; Yiqiang Chen 001; Xin Qin; Renjun Xu; Dimitrios Dimitriadis; Tao Qin 001 (IEEE Trans. Big Data, 2024)

Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities. - Wenyue Hua; Kaijie Zhu; Lingyao Li; Lizhou Fan; Mingyu Jin; Shuhang Lin; Haochen Xue; Zelong Li; Jindong Wang 001; Yongfeng Zhang (ACL (Findings), 2025)

SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer. - Hao Chen 102; Ze Wang 008; Xiang Li 106; Ximeng Sun; Fangyi Chen; Jiang Liu 014; Jindong Wang 001; Bhiksha Raj; Zicheng Liu 001; Emad Barsoum (CVPR, 2025)

Realistic Evaluation of Deep Partial-Label Learning Algorithms. - Wei Wang 373; Dong-Dong Wu; Jindong Wang 001; Gang Niu 001; Min-Ling Zhang; Masashi Sugiyama (ICLR, 2025)

StringLLM: Understanding the String Processing Capability of Large Language Models. - Xilong Wang; Hao Fu; Jindong Wang 001; Neil Zhenqiang Gong (ICLR, 2025)

CycleResearcher: Improving Automated Research via Automated Review. - Yixuan Weng; Minjun Zhu; Guangsheng Bao; Hongbo Zhang; Jindong Wang 001; Yue Zhang 004; Linyi Yang (ICLR, 2025)

Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist. - Zihao Zhou; Shudong Liu 004; Maizhen Ning; Wei Liu 131; Jindong Wang 001; Derek F. Wong; Xiaowei Huang 001; Qiufeng Wang 001; Kaizhu Huang (ICLR, 2025)

FAST: Federated Active Learning With Foundation Models for Communication-Efficient Sampling and Training. - Haoyuan Li; Mathias Funk; Jindong Wang 001; Aaqib Saeed (IEEE Internet Things J., 2025)

CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries. - Shudong Liu 004; Yiqiao Jin; Cheng Li; Derek F. Wong; Qingsong Wen; Lichao Sun 001; Haipeng Chen 001; Xing Xie 001; Jindong Wang 001 (CoRR, 2025)

Value Compass Leaderboard: A Platform for Fundamental and Validated Evaluation of LLMs Values. - Jing Yao; Xiaoyuan Yi; Shitong Duan; Jindong Wang 001; Yuzhuo Bai; Muhua Huang; Peng Zhang 060; Tun Lu; Zhicheng Dou; Maosong Sun 001; Xing Xie 001 (CoRR, 2025)

On Fairness of Unified Multimodal Large Language Model for Image Generation. - Ming Liu; Hao Chen 102; Jindong Wang 001; Liwen Wang; Bhiksha Raj Ramakrishnan; Wensheng Zhang (CoRR, 2025)

Masked Autoencoders Are Effective Tokenizers for Diffusion Models. - Hao Chen; Yujin Han; Fangyi Chen; Xiang Li 001; Yidong Wang; Jindong Wang 001; Ze Wang 008; Zicheng Liu 001; Difan Zou; Bhiksha Raj (CoRR, 2025)

Understanding and Mitigating the Bias Inheritance in LLM-based Data Augmentation on Downstream Tasks. - Miaomiao Li; Hao Chen 102; Yang Wang; Tingyuan Zhu; Weijia Zhang; Kaijie Zhu; Kam-Fai Wong; Jindong Wang 001 (CoRR, 2025)

MELON: Indirect Prompt Injection Defense via Masked Re-execution and Tool Comparison. - Kaijie Zhu; Xianjun Yang; Jindong Wang 001; Wenbo Guo 002; William Yang Wang (CoRR, 2025)

On the robustness of multimodal language model towards distractions. - Ming Liu; Hao Chen 102; Jindong Wang 001; Wensheng Zhang (CoRR, 2025)

General Scales Unlock AI Evaluation with Explanatory and Predictive Power. - Lexin Zhou; Lorenzo Pacchiardi; Fernando Martínez-Plumed; Katherine M. Collins; Yael Moros-Daval; Seraphina Zhang; Qinlin Zhao; Yitian Huang; Luning Sun; Jonathan E. Prunty; Zongqian Li; Pablo Sánchez-García; et al. (CoRR, 2025)

CAReDiO: Cultural Alignment of LLM via Representativeness and Distinctiveness Guided Data Optimization. - Jing Yao; Xiaoyuan Yi; Jindong Wang 001; Zhicheng Dou; Xing Xie 001 (CoRR, 2025)

Personalized Safety in LLMs: A Benchmark and A Planning-Based Agent Approach. - Yuchen Wu; Edward Sun; Kaijie Zhu; Jianxun Lian; José Hernández-Orallo; Aylin Caliskan; Jindong Wang 001 (CoRR, 2025)

Topological Structure Learning Should Be A Research Priority for LLM-Based Multi-Agent Systems. - Jiaxi Yang; Mengqi Zhang; Yiqiao Jin; Hao Chen 102; Qingsong Wen; Lu Lin; Yi He; Weijie Xu; James Evans; Jindong Wang 001 (CoRR, 2025)

RewardAnything: Generalizable Principle-Following Reward Models. - Zhuohao Yu 001; Jiali Zeng; Weizheng Gu; Yidong Wang; Jindong Wang 001; Fandong Meng; Jie Zhou 016; Yue Zhang 004; Shikun Zhang; Wei Ye 004 (CoRR, 2025)

Impact of Noisy Supervision in Foundation Model Learning. - Hao Chen 102; Zihan Wang; Ran Tao 013; Hongxin Wei; Xing Xie 001; Masashi Sugiyama; Bhiksha Raj; Jindong Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Enhancing Few-Shot CLIP With Semantic-Aware Fine-Tuning. - Yao Zhu; Yuefeng Chen; Xiaofeng Mao; Xiu Yan; Yue Wang; Wang Lu; Jindong Wang 001; Xiangyang Ji (IEEE Trans. Neural Networks Learn. Syst., 2025)

Harnessing Temporal Databases for Systematic Evaluation of Factual Time-Sensitive Question-Answering in Large Language Models. - Soyeon Kim 001; Jindong Wang 001; Xing Xie 001; Steven Euijong Whang (CoRR, 2025)