Jindong Wang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
78
Venues
30
Active years
2003–2026
Best venue rank
A*
Where they publish
- A*ICML12 papers
- A*ICLR11 papers
- A*ACL9 papers
- A*KDD4 papers
- A*EMNLP4 papers
- CUIC4 papers
- ACIKM3 papers
- A*CVPR3 papers
- A*IJCAI3 papers
- AInterspeech3 papers
- MulticonferenceICASSP2 papers
- A*ICDM2 papers
- A*AAAI1 paper
- A*WWW1 paper
- A*ICDE1 paper
- A*ECCV1 paper
- A*VR1 paper
- ASDM1 paper
- A*ICCV1 paper
- AWSDM1 paper
- CACML1 paper
- BCOLING1 paper
- MulticonferenceICCS1 paper
- A*ICSE1 paper
- A*CCS1 paper
- BIJCNN1 paper
- BPAKDD1 paper
- A*PERCOM1 paper
- BPRICAI1 paper
- BGLOBECOM1 paper
Papers
78 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Is Your (Reasoning) Multimodal Language Model Vulnerable Toward Distractions? | Ming Liu, Hao Chen, Jindong Wang, Liwen Wang, Jingchen Sun, Wensheng Zhang |
| 2026 | ACL | Understanding and Mitigating Bias Inheritance in LLM-based Data Augmentation on Downstream Tasks. | Miaomiao Li, Hao Chen, Yang Wang, Tingyuan Zhu, Weijia Zhang, Kaijie Zhu, Kam-Fai Wong, Jindong Wang |
| 2026 | KDD | HAROOD: A Benchmark for Out-of-distribution Generalization in Sensor-based Human Activity Recognition. | Wang Lu, Yao Zhu, Jindong Wang |
| 2026 | WWW | FedUMM: A General Framework for Federated Learning with Unified Multimodal Models. | Zhaolong Su, Leheng Zhao, Xiaoying Wu, Ziyue Xu, Jindong Wang |
| 2025 | ACL | Value Compass Benchmarks: A Comprehensive, Generative and Self-Evolving Platform for LLMs' Value Evaluation. | Jing Yao, Xiaoyuan Yi, Shitong Duan, Jindong Wang, Yuzhuo Bai, Muhua Huang, Yang Ou, Scarlett Li, Peng Zhang, Tun Lu, Zhicheng Dou, Maosong Sun, James Evans, Xing Xie |
| 2025 | ACL | 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, Yongfeng Zhang |
| 2025 | ACL | Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation. | Mingxuan Xia, Haobo Wang, Yixuan Li, Zewei Yu, Jindong Wang, Junbo Zhao, Runze Wu |
| 2025 | CIKM | Trustworthy Knowledge Discovery and Data Mining (TrustKDD). | Le Wu, Jindong Wang, Ling Chen, Xiangyu Zhao, Kui Yu, Yashar Deldjoo, Defu Lian |
| 2025 | CVPR | SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer. | Hao Chen, Ze Wang, Xiang Li, Ximeng Sun, Fangyi Chen, Jiang Liu, Jindong Wang, Bhiksha Raj, Zicheng Liu, Emad Barsoum |
| 2025 | ICDE | DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System. | Xihong Yang, Heming Jing, Zixing Zhang, Jindong Wang, Huakang Niu, Shuaiqiang Wang, Yu Lu, Junfeng Wang, Dawei Yin, Xinwang Liu, En Zhu, Defu Lian, Erxue Min |
| 2025 | ICLR | Realistic Evaluation of Deep Partial-Label Learning Algorithms. | Wei Wang, Dong-Dong Wu, Jindong Wang, Gang Niu, Min-Ling Zhang, Masashi Sugiyama |
| 2025 | ICLR | StringLLM: Understanding the String Processing Capability of Large Language Models. | Xilong Wang, Hao Fu, Jindong Wang, Neil Zhenqiang Gong |
| 2025 | ICLR | CycleResearcher: Improving Automated Research via Automated Review. | Yixuan Weng, Minjun Zhu, Guangsheng Bao, Hongbo Zhang, Jindong Wang, Yue Zhang, Linyi Yang |
| 2025 | ICLR | Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist. | Zihao Zhou, Shudong Liu, Maizhen Ning, Wei Liu, Jindong Wang, Derek F. Wong, Xiaowei Huang, Qiufeng Wang, Kaizhu Huang |
| 2025 | ICML | Reasoning Through Execution: Unifying Process and Outcome Rewards for Code Generation. | Zhuohao Yu, Weizheng Gu, Yidong Wang, Xingru Jiang, Zhengran Zeng, Jindong Wang, Wei Ye, Shikun Zhang |
| 2025 | ICML | Masked Autoencoders Are Effective Tokenizers for Diffusion Models. | Hao Chen, Yujin Han, Fangyi Chen, Xiang Li, Yidong Wang, Jindong Wang, Ze Wang, Zicheng Liu, Difan Zou, Bhiksha Raj |
| 2025 | ICML | Topology-aware Neural Flux Prediction Guided by Physics. | Haoyang Jiang, Jindong Wang, Xingquan Zhu, Yi He |
| 2025 | ICML | MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents. | Kaijie Zhu, Xianjun Yang, Jindong Wang, Wenbo Guo, William Yang Wang |
| 2024 | ACL | MM-SOC: Benchmarking Multimodal Large Language Models in Social Media Platforms. | Yiqiao Jin, Minje Choi, Gaurav Verma, Jindong Wang, Srijan Kumar |
| 2024 | ACL | LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting. | Haoxin Liu, Zhiyuan Zhao, Jindong Wang, Harshavardhan Kamarthi, B. Aditya Prakash |
| 2024 | ACL | Detoxifying Large Language Models via Knowledge Editing. | Mengru Wang, Ningyu Zhang, Ziwen Xu, Zekun Xi, Shumin Deng, Yunzhi Yao, Qishen Zhang, Linyi Yang, Jindong Wang, Huajun Chen |
| 2024 | ACL | KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models. | Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Wei Ye, Jindong Wang, Xing Xie, Yue Zhang, Shikun Zhang |
| 2024 | CVPR | Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets. | Hao Chen, Ran Tao, Han Zhang, Yidong Wang, Xiang Li, Wei Ye, Jindong Wang, Guosheng Hu, Marios Savvides |
| 2024 | ECCV | SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization. | Xixu Hu, Runkai Zheng, Jindong Wang, Cheuk Hang Leung, Qi Wu, Xing Xie |
| 2024 | EMNLP | FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models. | Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Zhengran Zeng, Wei Ye, Jindong Wang, Yue Zhang, Shikun Zhang |
| 2024 | EMNLP | AgentReview: Exploring Peer Review Dynamics with LLM Agents. | Yiqiao Jin, Qinlin Zhao, Yiyang Wang, Hao Chen, Kaijie Zhu, Yijia Xiao, Jindong Wang |
| 2024 | EMNLP | RESTful-Llama: Connecting User Queries to RESTful APIs. | Han Xu, Ruining Zhao, Jindong Wang, Haipeng Chen |
| 2024 | ICLR | Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks. | Hao Chen, Jindong Wang, Ankit Shah, Ran Tao, Hongxin Wei, Xing Xie, Masashi Sugiyama, Bhiksha Raj |
| 2024 | ICLR | PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. | Yidong Wang, Zhuohao Yu, Wenjin Yao, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang |
| 2024 | ICLR | Supervised Knowledge Makes Large Language Models Better In-context Learners. | Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang |
| 2024 | ICLR | DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks. | Kaijie Zhu, Jiaao Chen, Jindong Wang, Neil Zhenqiang Gong, Diyi Yang, Xing Xie |
| 2024 | ICML | Position: What Can Large Language Models Tell Us about Time Series Analysis. | Ming Jin, Yifan Zhang, Wei Chen, Kexin Zhang, Yuxuan Liang, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen |
| 2024 | ICML | A General Framework for Learning from Weak Supervision. | Hao Chen, Jindong Wang, Lei Feng, Xiang Li, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj |
| 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 | ICML | The Good, The Bad, and Why: Unveiling Emotions in Generative AI. | Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Xinyi Wang, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xie |
| 2024 | ICML | Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup. | Damien Teney, Jindong Wang, Ehsan Abbasnejad |
| 2024 | ICML | Open-Vocabulary Calibration for Fine-tuned CLIP. | Shuoyuan Wang, Jindong Wang, Guoqing Wang, Bob Zhang, Kaiyang Zhou, Hongxin Wei |
| 2024 | ICML | CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents. | Qinlin Zhao, Jindong Wang, Yixuan Zhang, Yiqiao Jin, Kaijie Zhu, Hao Chen, Xing Xie |
| 2024 | ICML | Dynamic Evaluation of Large Language Models by Meta Probing Agents. | Kaijie Zhu, Jindong Wang, Qinlin Zhao, Ruochen Xu, Xing Xie |
| 2024 | IJCAI | NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional Stimuli. | Xu Wang, Cheng Li, Yi Chang, Jindong Wang, Yuan Wu |
| 2024 | VR | Generating Virtual Reality Stroke Gesture Data from Out-of-Distribution Desktop Stroke Gesture Data. | Linping Yuan, Boyu Li, Jindong Wang, Huamin Qu, Wei Zeng |
| 2024 | SDM | Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution. | Wang Lu, Jindong Wang, Yidong Wang, Xing Xie |
| 2023 | ACL | GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective. | Linyi Yang, Shuibai Zhang, Libo Qin, Yafu Li, Yidong Wang, Hanmeng Liu, Jindong Wang, Xing Xie, Yue Zhang |
| 2023 | CIKM | Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement. | Chao Zhang, Fangzhao Wu, Jingwei Yi, Derong Xu, Yang Yu, Jindong Wang, Yidong Wang, Tong Xu, Xing Xie, Enhong Chen |
| 2023 | EMNLP | 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, Jennifer Foster, Yue Zhang |
| 2023 | ICCV | Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning. | Kaijie Zhu, Xixu Hu, Jindong Wang, Xing Xie, Ge Yang |
| 2023 | ICLR | SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning. | Hao Chen, Ran Tao, Yue Fan, Yidong Wang, Jindong Wang, Bernt Schiele, Xing Xie, Bhiksha Raj, Marios Savvides |
| 2023 | ICLR | Out-of-distribution Representation Learning for Time Series Classification. | Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xing Xie |
| 2023 | ICLR | FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning. | Yidong Wang, Hao Chen, Qiang Heng, Wenxin Hou, Yue Fan, Zhen Wu, Jindong Wang, Marios Savvides, Takahiro Shinozaki, Bhiksha Raj, Bernt Schiele, Xing Xie |
| 2023 | KDD | Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning. | Xin Qin, Jindong Wang, Shuo Ma, Wang Lu, Yongchun Zhu, Xing Xie, Yiqiang Chen |
| 2023 | KDD | Trustworthy Machine Learning: Robustness, Generalization, and Interpretability. | Jindong Wang, Haoliang Li, Haohan Wang, Sinno Jialin Pan, Xing Xie |
| 2023 | KDD | Domain-Specific Risk Minimization for Domain Generalization. | Yifan Zhang, Jindong Wang, Jian Liang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, Xing Xie |
| 2023 | WSDM | A Tutorial on Domain Generalization. | Jindong Wang, Haoliang Li, Sinno Jialin Pan, Xing Xie |
| 2022 | ACML | Margin Calibration for Long-Tailed Visual Recognition. | Yidong Wang, Bowen Zhang, Wenxin Hou, Zhen Wu, Jindong Wang, Takahiro Shinozaki |
| 2022 | COLING | Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction. | Yidong Wang, Hao Wu, Ao Liu, Wenxin Hou, Zhen Wu, Jindong Wang, Takahiro Shinozaki, Manabu Okumura, Yue Zhang |
| 2022 | ICASSP | Local and Global Alignments for Generalizable Sensor-Based Human Activity Recognition. | Wang Lu, Jindong Wang, Yiqiang Chen |
| 2022 | ICCS | CNNs with Compact Activation Function. | Jindong Wang, Jinchao Xu, Jianqing Zhu |
| 2022 | Interspeech | Wav2vec-S: Semi-Supervised Pre-Training for Low-Resource ASR. | Han Zhu, Li Wang, Gaofeng Cheng, Jindong Wang, Pengyuan Zhang, Yonghong Yan |
| 2022 | Interspeech | Decoupled Federated Learning for ASR with Non-IID Data. | Han Zhu, Jindong Wang, Gaofeng Cheng, Pengyuan Zhang, Yonghong Yan |
| 2022 | ICSE | ReMoS: Reducing Defect Inheritance in Transfer Learning via Relevant Model Slicing. | Ziqi Zhang, Yuanchun Li, Jindong Wang, Bingyan Liu, Ding Li, Yao Guo, Xiangqun Chen, Yunxin Liu |
| 2022 | UIC | DOPNet: Dynamic Optimized Pruning Net for Model Compression. | Xiaohai Li, Weiwei Dai, Yiqiang Chen, Jindong Wang |
| 2021 | CIKM | AdaRNN: Adaptive Learning and Forecasting of Time Series. | Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Jialin Pan, Tao Qin, Renjun Xu, Chongjun Wang |
| 2021 | ICASSP | MixSpeech: Data Augmentation for Low-Resource Automatic Speech Recognition. | Linghui Meng, Jin Xu, Xu Tan, Jindong Wang, Tao Qin, Bo Xu |
| 2021 | IJCAI | Generalizing to Unseen Domains: A Survey on Domain Generalization. | Jindong Wang, Cuiling Lan, Chang Liu, Yidong Ouyang, Tao Qin |
| 2021 | Interspeech | Cross-Domain Speech Recognition with Unsupervised Character-Level Distribution Matching. | Wenxin Hou, Jindong Wang, Xu Tan, Tao Qin, Takahiro Shinozaki |
| 2020 | CCS | Moving Target Defense Decision-Making Method: A Dynamic Markov Differential Game Model. | Hengwei Zhang, Jinglei Tan, Xiaohu Liu, Jindong Wang |
| 2020 | CVPR | Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation. | Renjun Xu, Pelen Liu, Liyan Wang, Chao Chen, Jindong Wang |
| 2020 | IJCAI | Joint Partial Optimal Transport for Open Set Domain Adaptation. | Renjun Xu, Pelen Liu, Yin Zhang, Fang Cai, Jindong Wang, Shuoying Liang, Heting Ying, Jianwei Yin |
| 2019 | ICDM | Transfer Learning with Dynamic Adversarial Adaptation Network. | Chaohui Yu, Jindong Wang, Yiqiang Chen, Meiyu Huang |
| 2019 | IJCNN | Accelerating Deep Unsupervised Domain Adaptation with Transfer Channel Pruning. | Chaohui Yu, Jindong Wang, Yiqiang Chen, Zijing Wu |
| 2019 | PAKDD | Transfer Channel Pruning for Compressing Deep Domain Adaptation Models. | Chaohui Yu, Jindong Wang, Yiqiang Chen, Zijing Wu |
| 2019 | UIC | DrowsyDet: A Mobile Application for Real-time Driver Drowsiness Detection. | Chaohui Yu, Xin Qin, Yiqiang Chen, Jindong Wang, Chenchen Fan |
| 2018 | PERCOM | Stratified Transfer Learning for Cross-domain Activity Recognition. | Jindong Wang, Yiqiang Chen, Lisha Hu, Xiaohui Peng, Philip S. Yu |
| 2017 | ICDM | Balanced Distribution Adaptation for Transfer Learning. | Jindong Wang, Yiqiang Chen, Shuji Hao, Wenjie Feng, Zhiqi Shen |
| 2017 | UIC | Weak multipath effect identification for indoor distance estimation. | Xiaohai Li, Yiqiang Chen, Zhongdong Wu, Xiaohui Peng, Jindong Wang, Lisha Hu, Diancun Yu |
| 2016 | PRICAI | A Study of Players' Experiences During Brain Games Play. | Faizan Ahmad, Yiqiang Chen, Shuangquan Wang, Zhenyu Chen, Jianfei Shen, Lisha Hu, Jindong Wang |
| 2016 | UIC | Less Annotation on Personalized Activity Recognition Using Context Data. | Lisha Hu, Yiqiang Chen, Shuangquan Wang, Jindong Wang, Jianfei Shen, Xinlong Jiang, Zhiqi Shen |
| 2003 | GLOBECOM | Webit: a minimum and efficient Internet server for non-PC devices. | Guangjie Han, Hai Zhao, Jindong Wang, Tao Lin, Jiyong Wang |