Jindong Wang

273 papers A* 52A 9B 3C 1Misc 2Journal 183Unranked 23
YearRankTypeTitle / Venue / Authors
2026 J jnl
AgentArk: Distilling Multi-Agent Intelligence into a Single LLM Agent.
CoRR
Yinyi Luo, Yiqiao Jin, Weichen Yu, Mengqi Zhang, Srijan Kumar, Xiaoxiao Li, Weijie Xu, Xin Chen, Jindong Wang
2026 J jnl
BPL: Bias-Adaptive Preference Distillation Learning For Recommender System.
IEEE Trans. Knowl. Data Eng.
SeongKu Kang, Jianxun Lian, Dongha Lee, Wonbin Kweon, Sanghwan Jang, Jaehyun Lee, Jindong Wang, Xing Xie, Hwanjo Yu
2026 J jnl
Classroom AI: Large Language Models as Grade-Specific Teachers.
CoRR
Jio Oh, Steven Euijong Whang, James Evans, Jindong Wang
2026 J jnl
Exploring Scale Shift in Crowd Localization under the Context of Domain Generalization.
Int. J. Comput. Vis.
Juncheng Wang, Lei Shang, Ziqi Liu, Wang Lu, Xixu Hu, Zhe Hu, Jindong Wang, Shujun Wang
2026 — conf
HAROOD: A Benchmark for Out-of-distribution Generalization in Sensor-based Human Activity Recognition.
KDD (1)
Wang Lu, Yao Zhu, Jindong Wang
2026 A* conf
Is Your (Reasoning) Multimodal Language Model Vulnerable Toward Distractions?
AAAI
Ming Liu, Hao Chen, Jindong Wang, Liwen Wang, Jingchen Sun, Wensheng Zhang
2026 J jnl
Self-Corrected Image Generation with Explainable Latent Rewards.
CoRR
Yinyi Luo, Hrishikesh Gokhale, Marios Savvides, Jindong Wang, Shengfeng He
2026 J jnl
Survey on Factuality in Large Language Models.
ACM Comput. Surv.
Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, Qipeng Guo, Xiangkun Hu, Xiangru Tang, Tianhang Zhang, Cheng Jiayang, Yunzhi Yao, Xuming Hu, Zehan Qi, Wenyang Gao, Yidong Wang, Linyi Yang, Jindong Wang, Xing Xie, Zheng Zhang, Yue Zhang
2026 J jnl
Uniformity Preserving Transfer for Visual Prompt Tuning under Long-tailed Distribution.
Int. J. Comput. Vis.
Jiahao Chen, Hao Chen, Bin Qin, Jiangmeng Li, Jindong Wang, Bing Su
2025 J jnl
BPL: Bias-adaptive Preference Distillation Learning for Recommender System.
CoRR
SeongKu Kang, Jianxun Lian, Dongha Lee, Wonbin Kweon, Sanghwan Jang, Jaehyun Lee, Jindong Wang, Xing Xie, Hwanjo Yu
2025 J jnl
CAReDiO: Cultural Alignment of LLM via Representativeness and Distinctiveness Guided Data Optimization.
CoRR
Jing Yao, Xiaoyuan Yi, Jindong Wang, Zhicheng Dou, Xing Xie
2025 J jnl
Corruption-Aware Training of Latent Video Diffusion Models for Robust Text-to-Video Generation.
CoRR
Chika Maduabuchi, Hao Chen, Yujin Han, Jindong Wang
2025 J jnl
CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries.
CoRR
Shudong Liu, Yiqiao Jin, Cheng Li, Derek F. Wong, Qingsong Wen, Lichao Sun, Haipeng Chen, Xing Xie, Jindong Wang
2025 A* conf
CycleResearcher: Improving Automated Research via Automated Review.
ICLR
Yixuan Weng, Minjun Zhu, Guangsheng Bao, Hongbo Zhang, Jindong Wang, Yue Zhang, Linyi Yang
2025 A* conf
DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System.
ICDE
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 — conf
Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities.
ACL (Findings)
Wenyue Hua, Kaijie Zhu, Lingyao Li, Lizhou Fan, Mingyu Jin, Shuhang Lin, Haochen Xue, Zelong Li, Jindong Wang, Yongfeng Zhang
2025 J jnl
Enhancing Few-Shot CLIP With Semantic-Aware Fine-Tuning.
IEEE Trans. Neural Networks Learn. Syst.
Yao Zhu, Yuefeng Chen, Xiaofeng Mao, Xiu Yan, Yue Wang, Wang Lu, Jindong Wang, Xiangyang Ji
2025 J jnl
Evaluating LLM-based Agents for Multi-Turn Conversations: A Survey.
CoRR
Shengyue Guan, Haoyi Xiong, Jindong Wang, Jiang Bian, Bin Zhu, Jian-Guang Lou
2025 J jnl
Evolving Collective Cognition in Human-Agent Hybrid Societies: How Agents Form Stances and Boundaries.
CoRR
Hanzhong Zhang, Muhua Huang, Jindong Wang
2025 J jnl
Exploring Scale Shift in Crowd Localization under the Context of Domain Generalization.
CoRR
Juncheng Wang, Lei Shang, Ziqi Liu, Wang Lu, Xixu Hu, Zhe Hu, Jindong Wang, Shujun Wang
2025 J jnl
FAST: Federated Active Learning With Foundation Models for Communication-Efficient Sampling and Training.
IEEE Internet Things J.
Haoyuan Li, Mathias Funk, Jindong Wang, Aaqib Saeed
2025 J jnl
FAST: Federated Active Learning with Foundation Models for Communication-efficient Sampling and Training.
CoRR
Haoyuan Li, Mathias Funk, Jindong Wang, Aaqib Saeed
2025 J jnl
General Scales Unlock AI Evaluation with Explanatory and Predictive Power.
CoRR
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, Kexin Jiang Chen, Pablo A. M. Casares, Jiyun Zu, John Burden, Behzad Mehrbakhsh, David Stillwell, Manuel Cebrián, Jindong Wang, Peter Henderson, Sherry Tongshuang Wu, Patrick C. Kyllonen, Lucy Cheke, Xing Xie, José Hernández-Orallo
2025 J jnl
Harnessing Temporal Databases for Systematic Evaluation of Factual Time-Sensitive Question-Answering in Large Language Models.
CoRR
Soyeon Kim, Jindong Wang, Xing Xie, Steven Euijong Whang
2025 J jnl
Impact of Noisy Supervision in Foundation Model Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Hao Chen, Zihan Wang, Ran Tao, Hongxin Wei, Xing Xie, Masashi Sugiyama, Bhiksha Raj, Jindong Wang
2025 J jnl
Introduction to the Special Issue on Evaluations of Large Language Models: Part 1.
ACM Trans. Intell. Syst. Technol.
Jindong Wang, Linyi Yang, Sunayana Sitaram, Qiang Yang, Bhiksha Raj
2025 A* conf
Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist.
ICLR
Zihao Zhou, Shudong Liu, Maizhen Ning, Wei Liu, Jindong Wang, Derek F. Wong, Xiaowei Huang, Qiufeng Wang, Kaizhu Huang
2025 J jnl
KnowledgeSmith: Uncovering Knowledge Updating in LLMs with Model Editing and Unlearning.
CoRR
Yinyi Luo, Zhexian Zhou, Hao Chen, Kai Qiu, Marios Savvides, Sharon Li, Jindong Wang
2025 J jnl
LLM-MemCluster: Empowering Large Language Models with Dynamic Memory for Text Clustering.
CoRR
Yuanjie Zhu, Liangwei Yang, Ke Xu, Weizhi Zhang, Zihe Song, Jindong Wang, Philip S. Yu
2025 J jnl
MELON: Indirect Prompt Injection Defense via Masked Re-execution and Tool Comparison.
CoRR
Kaijie Zhu, Xianjun Yang, Jindong Wang, Wenbo Guo, William Yang Wang
2025 A* conf
MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents.
ICML
Kaijie Zhu, Xianjun Yang, Jindong Wang, Wenbo Guo, William Yang Wang
2025 A* conf
Masked Autoencoders Are Effective Tokenizers for Diffusion Models.
ICML
Hao Chen, Yujin Han, Fangyi Chen, Xiang Li, Yidong Wang, Jindong Wang, Ze Wang, Zicheng Liu, Difan Zou, Bhiksha Raj
2025 J jnl
Masked Autoencoders Are Effective Tokenizers for Diffusion Models.
CoRR
Hao Chen, Yujin Han, Fangyi Chen, Xiang Li, Yidong Wang, Jindong Wang, Ze Wang, Zicheng Liu, Difan Zou, Bhiksha Raj
2025 J jnl
On Fairness of Unified Multimodal Large Language Model for Image Generation.
CoRR
Ming Liu, Hao Chen, Jindong Wang, Liwen Wang, Bhiksha Raj Ramakrishnan, Wensheng Zhang
2025 J jnl
On the robustness of multimodal language model towards distractions.
CoRR
Ming Liu, Hao Chen, Jindong Wang, Wensheng Zhang
2025 J jnl
Personalized Safety in LLMs: A Benchmark and A Planning-Based Agent Approach.
CoRR
Yuchen Wu, Edward Sun, Kaijie Zhu, Jianxun Lian, José Hernández-Orallo, Aylin Caliskan, Jindong Wang
2025 — conf
Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation.
ACL (1)
Mingxuan Xia, Haobo Wang, Yixuan Li, Zewei Yu, Jindong Wang, Junbo Zhao, Runze Wu
2025 J jnl
Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation.
CoRR
Mingxuan Xia, Haobo Wang, Yixuan Li, Zewei Yu, Jindong Wang, Junbo Zhao, Runze Wu
2025 A* conf
Realistic Evaluation of Deep Partial-Label Learning Algorithms.
ICLR
Wei Wang, Dong-Dong Wu, Jindong Wang, Gang Niu, Min-Ling Zhang, Masashi Sugiyama
2025 J jnl
Realistic Evaluation of Deep Partial-Label Learning Algorithms.
CoRR
Wei Wang, Dong-Dong Wu, Jindong Wang, Gang Niu, Min-Ling Zhang, Masashi Sugiyama
2025 A* conf
Reasoning Through Execution: Unifying Process and Outcome Rewards for Code Generation.
ICML
Zhuohao Yu, Weizheng Gu, Yidong Wang, Xingru Jiang, Zhengran Zeng, Jindong Wang, Wei Ye, Shikun Zhang
2025 J jnl
RewardAnything: Generalizable Principle-Following Reward Models.
CoRR
Zhuohao Yu, Jiali Zeng, Weizheng Gu, Yidong Wang, Jindong Wang, Fandong Meng, Jie Zhou, Yue Zhang, Shikun Zhang, Wei Ye
2025 A* conf
SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer.
CVPR
Hao Chen, Ze Wang, Xiang Li, Ximeng Sun, Fangyi Chen, Jiang Liu, Jindong Wang, Bhiksha Raj, Zicheng Liu, Emad Barsoum
2025 A* conf
StringLLM: Understanding the String Processing Capability of Large Language Models.
ICLR
Xilong Wang, Hao Fu, Jindong Wang, Neil Zhenqiang Gong
2025 J jnl
Topological Structure Learning Should Be A Research Priority for LLM-Based Multi-Agent Systems.
CoRR
Jiaxi Yang, Mengqi Zhang, Yiqiao Jin, Hao Chen, Qingsong Wen, Lu Lin, Yi He, Weijie Xu, James Evans, Jindong Wang
2025 A* conf
Topology-aware Neural Flux Prediction Guided by Physics.
ICML
Haoyang Jiang, Jindong Wang, Xingquan Zhu, Yi He
2025 J jnl
Topology-aware Neural Flux Prediction Guided by Physics.
CoRR
Haoyang Jiang, Jindong Wang, Xingquan Zhu, Yi He
2025 J jnl
Tracing LLM Reasoning Processes with Strategic Games: A Framework for Planning, Revision, and Resource-Constrained Decision Making.
CoRR
Xiaopeng Yuan, Xingjian Zhang, Ke Xu, Yifan Xu, Lijun Yu, Jindong Wang, Yushun Dong, Haohan Wang
2025 A conf
Trustworthy Knowledge Discovery and Data Mining (TrustKDD).
CIKM
Le Wu, Jindong Wang, Ling Chen, Xiangyu Zhao, Kui Yu, Yashar Deldjoo, Defu Lian
2025 J jnl
Understanding and Mitigating the Bias Inheritance in LLM-based Data Augmentation on Downstream Tasks.
CoRR
Miaomiao Li, Hao Chen, Yang Wang, Tingyuan Zhu, Weijia Zhang, Kaijie Zhu, Kam-Fai Wong, Jindong Wang
2025 J jnl
UniGame: Turning a Unified Multimodal Model Into Its Own Adversary.
CoRR
Zhaolong Su, Wang Lu, Hao Chen, Sharon Li, Jindong Wang
2025 — conf
Value Compass Benchmarks: A Comprehensive, Generative and Self-Evolving Platform for LLMs' Value Evaluation.
ACL (3)
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 J jnl
Value Compass Leaderboard: A Platform for Fundamental and Validated Evaluation of LLMs Values.
CoRR
Jing Yao, Xiaoyuan Yi, Shitong Duan, Jindong Wang, Yuzhuo Bai, Muhua Huang, Peng Zhang, Tun Lu, Zhicheng Dou, Maosong Sun, Xing Xie
2024 A* conf
A General Framework for Learning from Weak Supervision.
ICML
Hao Chen, Jindong Wang, Lei Feng, Xiang Li, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj
2024 J jnl
A General Framework for Learning from Weak Supervision.
CoRR
Hao Chen, Jindong Wang, Lei Feng, Xiang Li, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj
2024 J jnl
A Survey on Evaluating Large Language Models in Code Generation Tasks.
CoRR
Liguo Chen, Qi Guo, Hongrui Jia, Zhengran Zeng, Xin Wang, Yijiang Xu, Jian Wu, Yidong Wang, Qing Gao, Jindong Wang, Wei Ye, Shikun Zhang
2024 J jnl
A Survey on Evaluation of Large Language Models.
ACM Trans. Intell. Syst. Technol.
Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Linyi Yang, Kaijie Zhu, Hao Chen, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie
2024 A* conf
AgentReview: Exploring Peer Review Dynamics with LLM Agents.
EMNLP
Yiqiao Jin, Qinlin Zhao, Yiyang Wang, Hao Chen, Kaijie Zhu, Yijia Xiao, Jindong Wang
2024 J jnl
AgentReview: Exploring Peer Review Dynamics with LLM Agents.
CoRR
Yiqiao Jin, Qinlin Zhao, Yiyang Wang, Hao Chen, Kaijie Zhu, Yijia Xiao, Jindong Wang
2024 J jnl
Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond.
CoRR
Minghao Liu, Zonglin Di, Jiaheng Wei, Zhongruo Wang, Hengxiang Zhang, Ruixuan Xiao, Haoyu Wang, Jinlong Pang, Hao Chen, Ankit Shah, Hongxin Wei, Xinlei He, Zhaowei Zhao, Haobo Wang, Lei Feng, Jindong Wang, James Davis, Yang Liu
2024 J jnl
Better Think with Tables: Leveraging Tables to Enhance Large Language Model Comprehension.
CoRR
Jio Oh, Geon Heo, Seungjun Oh, Jindong Wang, Xing Xie, Steven Euijong Whang
2024 J jnl
Beyond Metrics: Evaluating LLMs' Effectiveness in Culturally Nuanced, Low-Resource Real-World Scenarios.
CoRR
Millicent Ochieng, Varun Gumma, Sunayana Sitaram, Jindong Wang, Vishrav Chaudhary, Keshet Ronen, Kalika Bali, Jacki O'Neill
2024 J jnl
Boosting Cross-Domain Speech Recognition With Self-Supervision.
IEEE ACM Trans. Audio Speech Lang. Process.
Han Zhu, Gaofeng Cheng, Jindong Wang, Wenxin Hou, Pengyuan Zhang, Yonghong Yan
2024 J jnl
Can I understand what I create? Self-Knowledge Evaluation of Large Language Models.
CoRR
Zhiquan Tan, Lai Wei, Jindong Wang, Xing Xie, Weiran Huang
2024 A* conf
CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents.
ICML
Qinlin Zhao, Jindong Wang, Yixuan Zhang, Yiqiao Jin, Kaijie Zhu, Hao Chen, Xing Xie
2024 — conf
Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets.
CVPR Workshops
Hao Chen, Ran Tao, Han Zhang, Yidong Wang, Xiang Li, Wei Ye, Jindong Wang, Guosheng Hu, Marios Savvides
2024 A* conf
CultureLLM: Incorporating Cultural Differences into Large Language Models.
NeurIPS
Cheng Li, Mengzhuo Chen, Jindong Wang, Sunayana Sitaram, Xing Xie
2024 J jnl
CultureLLM: Incorporating Cultural Differences into Large Language Models.
CoRR
Cheng Li, Mengzhuo Chen, Jindong Wang, Sunayana Sitaram, Xing Xie
2024 A* conf
CulturePark: Boosting Cross-cultural Understanding in Large Language Models.
NeurIPS
Cheng Li, Damien Teney, Linyi Yang, Qingsong Wen, Xing Xie, Jindong Wang
2024 J jnl
CulturePark: Boosting Cross-cultural Understanding in Large Language Models.
CoRR
Cheng Li, Damien Teney, Linyi Yang, Qingsong Wen, Xing Xie, Jindong Wang
2024 J jnl
CycleResearcher: Improving Automated Research via Automated Review.
CoRR
Yixuan Weng, Minjun Zhu, Guangsheng Bao, Hongbo Zhang, Jindong Wang, Yue Zhang, Linyi Yang
2024 J jnl
DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System.
CoRR
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
2024 — conf
Detoxifying Large Language Models via Knowledge Editing.
ACL (1)
Mengru Wang, Ningyu Zhang, Ziwen Xu, Zekun Xi, Shumin Deng, Yunzhi Yao, Qishen Zhang, Linyi Yang, Jindong Wang, Huajun Chen
2024 J jnl
Detoxifying Large Language Models via Knowledge Editing.
CoRR
Mengru Wang, Ningyu Zhang, Ziwen Xu, Zekun Xi, Shumin Deng, Yunzhi Yao, Qishen Zhang, Linyi Yang, Jindong Wang, Huajun Chen
2024 A* conf
Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models.
NeurIPS
Lai Wei, Zhiquan Tan, Chenghai Li, Jindong Wang, Weiran Huang
2024 J jnl
Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities.
CoRR
Wenyue Hua, Kaijie Zhu, Lingyao Li, Lizhou Fan, Shuhang Lin, Mingyu Jin, Haochen Xue, Zelong Li, Jindong Wang, Yongfeng Zhang
2024 J jnl
Diversify: A General Framework for Time Series Out-of-Distribution Detection and Generalization.
IEEE Trans. Pattern Anal. Mach. Intell.
Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xiangyang Ji, Qiang Yang, Xing Xie
2024 J jnl
DyVal 2: Dynamic Evaluation of Large Language Models by Meta Probing Agents.
CoRR
Kaijie Zhu, Jindong Wang, Qinlin Zhao, Ruochen Xu, Xing Xie
2024 A* conf
DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks.
ICLR
Kaijie Zhu, Jiaao Chen, Jindong Wang, Neil Zhenqiang Gong, Diyi Yang, Xing Xie
2024 A* conf
Dynamic Evaluation of Large Language Models by Meta Probing Agents.
ICML
Kaijie Zhu, Jindong Wang, Qinlin Zhao, Ruochen Xu, Xing Xie
2024 A* conf
ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models.
NeurIPS
Jio Oh, Soyeon Kim, Junseok Seo, Jindong Wang, Ruochen Xu, Xing Xie, Steven Whang
2024 J jnl
ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models.
CoRR
Jio Oh, Soyeon Kim, Junseok Seo, Jindong Wang, Ruochen Xu, Xing Xie, Steven Euijong Whang
2024 J jnl
Exploring Vision-Language Models for Imbalanced Learning.
Int. J. Comput. Vis.
Yidong Wang, Zhuohao Yu, Jindong Wang, Qiang Heng, Hao Chen, Wei Ye, Rui Xie, Xing Xie, Shikun Zhang
2024 — conf
FIXED: Frustratingly Easy Domain Generalization with Mixup.
CPAL
Wang Lu, Jindong Wang, Han Yu, Lei Huang, Xiang Zhang, Yiqiang Chen, Xing Xie
2024 — conf
FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models.
EMNLP (System Demonstrations)
Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Zhengran Zeng, Wei Ye, Jindong Wang, Yue Zhang, Shikun Zhang
2024 J jnl
FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models.
CoRR
Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Zhengran Zeng, Wei Ye, Jindong Wang, Yue Zhang, Shikun Zhang
2024 A* conf
Generating Virtual Reality Stroke Gesture Data from Out-of-Distribution Desktop Stroke Gesture Data.
VR
Linping Yuan, Boyu Li, Jindong Wang, Huamin Qu, Wei Zeng
2024 J jnl
ISC4DGF: Enhancing Directed Grey-box Fuzzing with LLM-Driven Initial Seed Corpus Generation.
CoRR
Yijiang Xu, Hongrui Jia, Liguo Chen, Xin Wang, Zhengran Zeng, Yidong Wang, Qing Gao, Jindong Wang, Wei Ye, Shikun Zhang, Zhonghai Wu
2024 A* conf
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations.
NeurIPS
Hao Chen, Ankit Shah, Jindong Wang, Ran Tao, Yidong Wang, Xiang Li, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj
2024 J jnl
Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist.
CoRR
Zihao Zhou, Shudong Liu, Maizhen Ning, Wei Liu, Jindong Wang, Derek F. Wong, Xiaowei Huang, Qiufeng Wang, Kaizhu Huang
2024 — conf
KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models.
ACL (1)
Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Wei Ye, Jindong Wang, Xing Xie, Yue Zhang, Shikun Zhang
2024 J jnl
KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models.
CoRR
Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Wei Ye, Jindong Wang, Xing Xie, Yue Zhang, Shikun Zhang
2024 J jnl
LLM-GLOBE: A Benchmark Evaluating the Cultural Values Embedded in LLM Output.
CoRR
Elise Karinshak, Amanda Hu, Kewen Kong, Vishwanatha Rao, Jingren Wang, Jindong Wang, Yi Zeng
2024 — conf
LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting.
ACL (Findings)
Haoxin Liu, Zhiyuan Zhao, Jindong Wang, Harshavardhan Kamarthi, B. Aditya Prakash
2024 J jnl
LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting.
CoRR
Haoxin Liu, Zhiyuan Zhao, Jindong Wang, Harshavardhan Kamarthi, B. Aditya Prakash
2024 J jnl
Large Language Model Evaluation via Matrix Entropy.
CoRR
Lai Wei, Zhiquan Tan, Chenghai Li, Jindong Wang, Weiran Huang
2024 J jnl
Learning from "Silly" Questions Improves Large Language Models, But Only Slightly.
CoRR
Tingyuan Zhu, Shudong Liu, Yidong Wang, Derek F. Wong, Han Yu, Takahiro Shinozaki, Jindong Wang
2024 J jnl
Learning with Noisy Foundation Models.
CoRR
Hao Chen, Jindong Wang, Zihan Wang, Ran Tao, Hongxin Wei, Xing Xie, Masashi Sugiyama, Bhiksha Raj
2024 — conf
MM-SOC: Benchmarking Multimodal Large Language Models in Social Media Platforms.
ACL (Findings)
Yiqiao Jin, Minje Choi, Gaurav Verma, Jindong Wang, Srijan Kumar
2024 J jnl
MM-Soc: Benchmarking Multimodal Large Language Models in Social Media Platforms.
CoRR
Yiqiao Jin, Minje Choi, Gaurav Verma, Jindong Wang, Srijan Kumar
2024 J jnl
MentalArena: Self-play Training of Language Models for Diagnosis and Treatment of Mental Health Disorders.
CoRR
Cheng Li, May Fung, Qingyun Wang, Chi Han, Manling Li, Jindong Wang, Heng Ji
2024 J jnl
MetaFed: Federated Learning Among Federations With Cyclic Knowledge Distillation for Personalized Healthcare.
IEEE Trans. Neural Networks Learn. Syst.
Yiqiang Chen, Wang Lu, Xin Qin, Jindong Wang, Xing Xie
2024 J jnl
NPHardEval4V: A Dynamic Reasoning Benchmark of Multimodal Large Language Models.
CoRR
Lizhou Fan, Wenyue Hua, Xiang Li, Kaijie Zhu, Mingyu Jin, Lingyao Li, Haoyang Ling, Jinkui Chi, Jindong Wang, Xin Ma, Yongfeng Zhang
2024 A* conf
NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional Stimuli.
IJCAI
Xu Wang, Cheng Li, Yi Chang, Jindong Wang, Yuan Wu
2024 J jnl
NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional Stimuli.
CoRR
Xu Wang, Cheng Li, Yi Chang, Jindong Wang, Yuan Wu
2024 J jnl
On Catastrophic Inheritance of Large Foundation Models.
CoRR
Hao Chen, Bhiksha Raj, Xing Xie, Jindong Wang
2024 J jnl
On Catastrophic Inheritance of Large Foundation Models.
J. Data-centric Mach. Learn. Res.
Hao Chen, Bhiksha Raj, Xing Xie, Jindong Wang
2024 J jnl
On the Diversity of Synthetic Data and its Impact on Training Large Language Models.
CoRR
Hao Chen, Abdul Waheed, Xiang Li, Yidong Wang, Jindong Wang, Bhiksha Raj, Marah I Abdin
2024 J jnl
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective.
IEEE Data Eng. Bull.
Jindong Wang, Xixu Hu, Wenxin Hou, Hao Chen, Runkai Zheng, Yidong Wang, Linyi Yang, Wei Ye, Haojun Huang, Xiubo Geng, Binxing Jiao, Yue Zhang, Xing Xie
2024 A* conf
Open-Vocabulary Calibration for Fine-tuned CLIP.
ICML
Shuoyuan Wang, Jindong Wang, Guoqing Wang, Bob Zhang, Kaiyang Zhou, Hongxin Wei
2024 J jnl
Outcome-Refining Process Supervision for Code Generation.
CoRR
Zhuohao Yu, Weizheng Gu, Yidong Wang, Zhengran Zeng, Jindong Wang, Wei Ye, Shikun Zhang
2024 A* conf
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization.
ICLR
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 J jnl
Personalized Federated Learning With Adaptive Batchnorm for Healthcare.
IEEE Trans. Big Data
Wang Lu, Jindong Wang, Yiqiang Chen, Xin Qin, Renjun Xu, Dimitrios Dimitriadis, Tao Qin
2024 J jnl
Position Paper: What Can Large Language Models Tell Us about Time Series Analysis.
CoRR
Ming Jin, Yifan Zhang, Wei Chen, Kexin Zhang, Yuxuan Liang, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen
2024 A* conf
Position: TrustLLM: Trustworthiness in Large Language Models.
ICML
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 A* conf
Position: What Can Large Language Models Tell Us about Time Series Analysis.
ICML
Ming Jin, Yifan Zhang, Wei Chen, Kexin Zhang, Yuxuan Liang, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen
2024 J jnl
PromptBench: A Unified Library for Evaluation of Large Language Models.
J. Mach. Learn. Res.
Kaijie Zhu, Qinlin Zhao, Hao Chen, Jindong Wang, Xing Xie
2024 — conf
PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts.
LAMPS@CCS
Kaijie Zhu, Jindong Wang, Jiaheng Zhou, Zichen Wang, Hao Chen, Yidong Wang, Linyi Yang, Wei Ye, Yue Zhang, Neil Gong, Xing Xie
2024 — conf
RESTful-Llama: Connecting User Queries to RESTful APIs.
EMNLP (Industry Track)
Han Xu, Ruining Zhao, Jindong Wang, Haipeng Chen
2024 J jnl
Scito2M: A 2 Million, 30-Year Cross-disciplinary Dataset for Temporal Scientometric Analysis.
CoRR
Yiqiao Jin, Yijia Xiao, Yiyang Wang, Jindong Wang
2024 A* conf
Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup.
ICML
Damien Teney, Jindong Wang, Ehsan Abbasnejad
2024 A* conf
Slight Corruption in Pre-training Data Makes Better Diffusion Models.
NeurIPS
Hao Chen, Yujin Han, Diganta Misra, Xiang Li, Kai Hu, Difan Zou, Masashi Sugiyama, Jindong Wang, Bhiksha Raj
2024 J jnl
Slight Corruption in Pre-training Data Makes Better Diffusion Models.
CoRR
Hao Chen, Yujin Han, Diganta Misra, Xiang Li, Kai Hu, Difan Zou, Masashi Sugiyama, Jindong Wang, Bhiksha Raj
2024 J jnl
Social Science Meets LLMs: How Reliable Are Large Language Models in Social Simulations?
CoRR
Yue Huang, Zhengqing Yuan, Yujun Zhou, Kehan Guo, Xiangqi Wang, Haomin Zhuang, Weixiang Sun, Lichao Sun, Jindong Wang, Yanfang Ye, Xiangliang Zhang
2024 J jnl
SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer.
CoRR
Hao Chen, Ze Wang, Xiang Li, Ximeng Sun, Fangyi Chen, Jiang Liu, Jindong Wang, Bhiksha Raj, Zicheng Liu, Emad Barsoum
2024 — conf
SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization.
ECCV (54)
Xixu Hu, Runkai Zheng, Jindong Wang, Cheuk Hang Leung, Qi Wu, Xing Xie
2024 J jnl
SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization.
CoRR
Xixu Hu, Runkai Zheng, Jindong Wang, Cheuk Hang Leung, Qi Wu, Xing Xie
2024 J jnl
StringLLM: Understanding the String Processing Capability of Large Language Models.
CoRR
Xilong Wang, Hao Fu, Jindong Wang, Neil Zhenqiang Gong
2024 A* conf
Supervised Knowledge Makes Large Language Models Better In-context Learners.
ICLR
Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang
2024 A* conf
The Good, The Bad, and Why: Unveiling Emotions in Generative AI.
ICML
Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Xinyi Wang, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xie
2024 J jnl
Time Series Analysis for Education: Methods, Applications, and Future Directions.
CoRR
Shengzhong Mao, Chaoli Zhang, Yichi Song, Jindong Wang, Xiao-Jun Zeng, Zenglin Xu, Qingsong Wen
2024 A conf
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution.
SDM
Wang Lu, Jindong Wang, Yidong Wang, Xing Xie
2024 J jnl
TrustLLM: Trustworthiness in Large Language Models.
CoRR
Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, 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, 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, Yue Zhao
2024 A* conf
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks.
ICLR
Hao Chen, Jindong Wang, Ankit Shah, Ran Tao, Hongxin Wei, Xing Xie, Masashi Sugiyama, Bhiksha Raj
2024 J jnl
XQ-GAN: An Open-source Image Tokenization Framework for Autoregressive Generation.
CoRR
Xiang Li, Kai Qiu, Hao Chen, Jason Kuen, Jiuxiang Gu, Jindong Wang, Zhe Lin, Bhiksha Raj
2023 J jnl
A Mutual Learning Framework for Pruned and Quantized Networks.
J. Comput. Sci. Technol.
Xiaohai Li, Yiqiang Chen, Jindong Wang
2023 J jnl
A Survey of Heterogeneous Transfer Learning.
CoRR
Runxue Bao, Yiming Sun, Yuhe Gao, Jindong Wang, Qiang Yang, Haifeng Chen, Zhi-Hong Mao, Ye Ye
2023 J jnl
A Survey on Evaluation of Large Language Models.
CoRR
Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Kaijie Zhu, Hao Chen, Linyi Yang, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie
2023 A conf
A Tutorial on Domain Generalization.
WSDM
Jindong Wang, Haoliang Li, Sinno Jialin Pan, Xing Xie
2023 J jnl
Adaptive Memory Networks With Self-Supervised Learning for Unsupervised Anomaly Detection.
IEEE Trans. Knowl. Data Eng.
Yuxin Zhang, Jindong Wang, Yiqiang Chen, Han Yu, Tao Qin
2023 J jnl
CompeteAI: Understanding the Competition Behaviors in Large Language Model-based Agents.
CoRR
Qinlin Zhao, Jindong Wang, Yixuan Zhang, Yiqiao Jin, Kaijie Zhu, Hao Chen, Xing Xie
2023 J jnl
DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization.
CoRR
Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xiangyang Ji, Qiang Yang, Xing Xie
2023 A* conf
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models.
NeurIPS
Andy Zhou, Jindong Wang, Yu-Xiong Wang, Haohan Wang
2023 J jnl
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models.
CoRR
Andy Zhou, Jindong Wang, Yu-Xiong Wang, Haohan Wang
2023 J jnl
Domain Generalization for Activity Recognition via Adaptive Feature Fusion.
ACM Trans. Intell. Syst. Technol.
Xin Qin, Jindong Wang, Yiqiang Chen, Wang Lu, Xinlong Jiang
2023 A* conf
Domain-Specific Risk Minimization for Domain Generalization.
KDD
Yifan Zhang, Jindong Wang, Jian Liang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, Xing Xie
2023 J jnl
DyVal: Graph-informed Dynamic Evaluation of Large Language Models.
CoRR
Kaijie Zhu, Jiaao Chen, Jindong Wang, Neil Zhenqiang Gong, Diyi Yang, Xing Xie
2023 J jnl
EmotionPrompt: Leveraging Psychology for Large Language Models Enhancement via Emotional Stimulus.
CoRR
Cheng Li, Jindong Wang, Kaijie Zhu, Yixuan Zhang, Wenxin Hou, Jianxun Lian, Xing Xie
2023 J jnl
Enhancing Few-shot CLIP with Semantic-Aware Fine-Tuning.
CoRR
Yao Zhu, Yuefeng Chen, Wei Wang, Xiaofeng Mao, Xiu Yan, Yue Wang, Zhigang Li, Wang Lu, Jindong Wang, Xiangyang Ji
2023 J jnl
Exploring Vision-Language Models for Imbalanced Learning.
CoRR
Yidong Wang, Zhuohao Yu, Jindong Wang, Qiang Heng, Hao Chen, Wei Ye, Rui Xie, Xing Xie, Shikun Zhang
2023 J jnl
FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning.
CoRR
Wang Lu, Xixu Hu, Jindong Wang, Xing Xie
2023 J jnl
FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning.
IEEE Data Eng. Bull.
Wang Lu, Xixu Hu, Jindong Wang, Xing Xie
2023 A* conf
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning.
ICLR
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 J jnl
From Instructions to Intrinsic Human Values - A Survey of Alignment Goals for Big Models.
CoRR
Jing Yao, Xiaoyuan Yi, Xiting Wang, Jindong Wang, Xing Xie
2023 J jnl
Frustratingly Easy Model Generalization by Dummy Risk Minimization.
CoRR
Juncheng Wang, Jindong Wang, Xixu Hu, Shujun Wang, Xing Xie
2023 — conf
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective.
ACL (Findings)
Linyi Yang, Shuibai Zhang, Libo Qin, Yafu Li, Yidong Wang, Hanmeng Liu, Jindong Wang, Xing Xie, Yue Zhang
2023 A* conf
Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning.
KDD
Xin Qin, Jindong Wang, Shuo Ma, Wang Lu, Yongchun Zhu, Xing Xie, Yiqiang Chen
2023 J jnl
Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning.
CoRR
Xin Qin, Jindong Wang, Shuo Ma, Wang Lu, Yongchun Zhu, Xing Xie, Yiqiang Chen
2023 J jnl
Generalizing to Unseen Domains: A Survey on Domain Generalization.
IEEE Trans. Knowl. Data Eng.
Jindong Wang, Cuiling Lan, Chang Liu, Yidong Ouyang, Tao Qin, Wang Lu, Yiqiang Chen, Wenjun Zeng, Philip S. Yu
2023 J jnl
How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation.
CoRR
Zhongyi Han, Guanglin Zhou, Rundong He, Jindong Wang, Tailin Wu, Yilong Yin, Salman H. Khan, Lina Yao, Tongliang Liu, Kun Zhang
2023 J jnl
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations.
CoRR
Hao Chen, Ankit Shah, Jindong Wang, Ran Tao, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj
2023 A* conf
Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning.
ICCV
Kaijie Zhu, Xixu Hu, Jindong Wang, Xing Xie, Ge Yang
2023 J jnl
Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning.
CoRR
Kaijie Zhu, Jindong Wang, Xixu Hu, Xing Xie, Ge Yang
2023 J jnl
Memory-Guided Multi-View Multi-Domain Fake News Detection.
IEEE Trans. Knowl. Data Eng.
Yongchun Zhu, Qiang Sheng, Juan Cao, Qiong Nan, Kai Shu, Minghui Wu, Jindong Wang, Fuzhen Zhuang
2023 J jnl
Meta Semantic Template for Evaluation of Large Language Models.
CoRR
Yachuan Liu, Liang Chen, Jindong Wang, Qiaozhu Mei, Xing Xie
2023 A conf
Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement.
CIKM
Chao Zhang, Fangzhao Wu, Jingwei Yi, Derong Xu, Yang Yu, Jindong Wang, Yidong Wang, Tong Xu, Xing Xie, Enhong Chen
2023 J jnl
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective.
CoRR
Jindong Wang, Xixu Hu, Wenxin Hou, Hao Chen, Runkai Zheng, Yidong Wang, Linyi Yang, Haojun Huang, Wei Ye, Xiubo Geng, Binxing Jiao, Yue Zhang, Xing Xie
2023 J jnl
Optimization-Free Test-Time Adaptation for Cross-Person Activity Recognition.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Shuoyuan Wang, Jindong Wang, Huajun Xi, Bob Zhang, Lei Zhang, Hongxin Wei
2023 A* conf
Out-of-Distribution Generalization in Natural Language Processing: Past, Present, and Future.
EMNLP
Linyi Yang, Yaoxian Song, Xuan Ren, Chenyang Lyu, Yidong Wang, Jingming Zhuo, Lingqiao Liu, Jindong Wang, Jennifer Foster, Yue Zhang
2023 J jnl
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future.
CoRR
Linyi Yang, Yaoxiao Song, Xuan Ren, Chenyang Lyu, Yidong Wang, Lingqiao Liu, Jindong Wang, Jennifer Foster, Yue Zhang
2023 A* conf
Out-of-distribution Representation Learning for Time Series Classification.
ICLR
Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xing Xie
2023 J jnl
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization.
CoRR
Yidong Wang, Zhuohao Yu, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang
2023 J jnl
PromptBench: A Unified Library for Evaluation of Large Language Models.
CoRR
Kaijie Zhu, Qinlin Zhao, Hao Chen, Jindong Wang, Xing Xie
2023 J jnl
PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts.
CoRR
Kaijie Zhu, Jindong Wang, Jiaheng Zhou, Zichen Wang, Hao Chen, Yidong Wang, Linyi Yang, Wei Ye, Neil Zhenqiang Gong, Yue Zhang, Xing Xie
2023 J jnl
Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup.
CoRR
Damien Teney, Jindong Wang, Ehsan Abbasnejad
2023 J jnl
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning.
CoRR
Hao Chen, Ran Tao, Yue Fan, Yidong Wang, Jindong Wang, Bernt Schiele, Xing Xie, Bhiksha Raj, Marios Savvides
2023 A* conf
SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning.
ICLR
Hao Chen, Ran Tao, Yue Fan, Yidong Wang, Jindong Wang, Bernt Schiele, Xing Xie, Bhiksha Raj, Marios Savvides
2023 J jnl
Supervised Knowledge Makes Large Language Models Better In-context Learners.
CoRR
Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang
2023 J jnl
Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity.
CoRR
Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, Xiangru Tang, Tianhang Zhang, Cheng Jiayang, Yunzhi Yao, Wenyang Gao, Xuming Hu, Zehan Qi, Yidong Wang, Linyi Yang, Jindong Wang, Xing Xie, Zheng Zhang, Yue Zhang
2023 J jnl
The Good, The Bad, and Why: Unveiling Emotions in Generative AI.
CoRR
Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Xinyi Wang, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xie
2023 — conf
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution.
CDPD
Wang Lu, Jindong Wang, Yidong Wang, Xing Xie
2023 A* conf
Trustworthy Machine Learning: Robustness, Generalization, and Interpretability.
KDD
Jindong Wang, Haoliang Li, Haohan Wang, Sinno Jialin Pan, Xing Xie
2023 J jnl
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks.
CoRR
Hao Chen, Jindong Wang, Ankit Shah, Ran Tao, Hongxin Wei, Xing Xie, Masashi Sugiyama, Bhiksha Raj
2023 J jnl
Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals.
IEEE Trans. Knowl. Data Eng.
Yuxin Zhang, Yiqiang Chen, Jindong Wang, Zhiwen Pan
2023 J jnl
ZooPFL: Exploring Black-box Foundation Models for Personalized Federated Learning.
CoRR
Wang Lu, Hao Yu, Jindong Wang, Damien Teney, Haohan Wang, Yiqiang Chen, Qiang Yang, Xing Xie, Xiangyang Ji
2022 J jnl
Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection.
CoRR
Yuxin Zhang, Jindong Wang, Yiqiang Chen, Han Yu, Tao Qin
2022 J jnl
Boosting Cross-Domain Speech Recognition with Self-Supervision.
CoRR
Han Zhu, Gaofeng Cheng, Jindong Wang, Wenxin Hou, Pengyuan Zhang, Yonghong Yan
2022 J jnl
Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets.
CoRR
Hao Chen, Ran Tao, Han Zhang, Yidong Wang, Wei Ye, Jindong Wang, Guosheng Hu, Marios Savvides
2022 — conf
DOPNet: Dynamic Optimized Pruning Net for Model Compression.
SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta
Xiaohai Li, Weiwei Dai, Yiqiang Chen, Jindong Wang
2022 A conf
Decoupled Federated Learning for ASR with Non-IID Data.
INTERSPEECH
Han Zhu, Jindong Wang, Gaofeng Cheng, Pengyuan Zhang, Yonghong Yan
2022 J jnl
Decoupled Federated Learning for ASR with Non-IID Data.
CoRR
Han Zhu, Jindong Wang, Gaofeng Cheng, Pengyuan Zhang, Yonghong Yan
2022 J jnl
Domain Generalization for Activity Recognition via Adaptive Feature Fusion.
CoRR
Xin Qin, Jindong Wang, Yiqiang Chen, Wang Lu, Xinlong Jiang
2022 J jnl
Domain-Specific Risk Minimization.
CoRR
Yifan Zhang, Jindong Wang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, Xing Xie
2022 J jnl
Domain-invariant Feature Exploration for Domain Generalization.
CoRR
Wang Lu, Jindong Wang, Haoliang Li, Yiqiang Chen, Xing Xie
2022 J jnl
Domain-invariant Feature Exploration for Domain Generalization.
Trans. Mach. Learn. Res.
Wang Lu, Jindong Wang, Haoliang Li, Yiqiang Chen, Xing Xie
2022 J jnl
Equivariant Disentangled Transformation for Domain Generalization under Combination Shift.
CoRR
Yivan Zhang, Jindong Wang, Xing Xie, Masashi Sugiyama
2022 J jnl
Exploiting Adapters for Cross-Lingual Low-Resource Speech Recognition.
IEEE ACM Trans. Audio Speech Lang. Process.
Wenxin Hou, Han Zhu, Yidong Wang, Jindong Wang, Tao Qin, Renjun Xu, Takahiro Shinozaki
2022 B conf
Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction.
COLING
Yidong Wang, Hao Wu, Ao Liu, Wenxin Hou, Zhen Wu, Jindong Wang, Takahiro Shinozaki, Manabu Okumura, Yue Zhang
2022 J jnl
Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction.
CoRR
Yidong Wang, Hao Wu, Ao Liu, Wenxin Hou, Zhen Wu, Jindong Wang, Takahiro Shinozaki, Manabu Okumura, Yue Zhang
2022 J jnl
FIXED: Frustratingly Easy Domain Generalization with Mixup.
CoRR
Wang Lu, Jindong Wang, Han Yu, Lei Huang, Xiang Zhang, Yiqiang Chen, Xing Xie
2022 J jnl
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective.
CoRR
Linyi Yang, Shuibai Zhang, Libo Qin, Yafu Li, Yidong Wang, Hanmeng Liu, Jindong Wang, Xing Xie, Yue Zhang
2022 J jnl
Hierarchical knowledge amalgamation with dual discriminative feature alignment.
Inf. Sci.
Renjun Xu, Shuoying Liang, Lanyu Wen, Zhitong Guo, Xinyue Huang, Mingli Song, Jindong Wang, Xiaoxiao Xu, Huajun Chen
2022 Misc conf
Local and Global Alignments for Generalizable Sensor-Based Human Activity Recognition.
ICASSP
Wang Lu, Jindong Wang, Yiqiang Chen
2022 C conf
Margin Calibration for Long-Tailed Visual Recognition.
ACML
Yidong Wang, Bowen Zhang, Wenxin Hou, Zhen Wu, Jindong Wang, Takahiro Shinozaki
2022 J jnl
Memory-Guided Multi-View Multi-Domain Fake News Detection.
CoRR
Yongchun Zhu, Qiang Sheng, Juan Cao, Qiong Nan, Kai Shu, Minghui Wu, Jindong Wang, Fuzhen Zhuang
2022 J jnl
MetaFed: Federated Learning among Federations with Cyclic Knowledge Distillation for Personalized Healthcare.
CoRR
Yiqiang Chen, Wang Lu, Xin Qin, Jindong Wang, Xing Xie
2022 J jnl
Multi-Representation Adaptation Network for Cross-domain Image Classification.
CoRR
Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Jingwu Chen, Zhi-Ping Shi, Wenjuan Wu, Qing He
2022 J jnl
Out-of-Distribution Representation Learning for Time Series Classification.
CoRR
Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xing Xie
2022 A* conf
ReMoS: Reducing Defect Inheritance in Transfer Learning via Relevant Model Slicing.
ICSE
Ziqi Zhang, Yuanchun Li, Jindong Wang, Bingyan Liu, Ding Li, Yao Guo, Xiangqun Chen, Yunxin Liu
2022 J jnl
Semantic-Discriminative Mixup for Generalizable Sensor-based Cross-domain Activity Recognition.
CoRR
Wang Lu, Jindong Wang, Yiqiang Chen, Sinno Jialin Pan, Chunyu Hu, Xin Qin
2022 J jnl
Semantic-Discriminative Mixup for Generalizable Sensor-based Cross-domain Activity Recognition.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Wang Lu, Jindong Wang, Yiqiang Chen, Sinno Jialin Pan, Chunyu Hu, Xin Qin
2022 J jnl
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution.
CoRR
Wang Lu, Jindong Wang, Yidong Wang, Kan Ren, Yiqiang Chen, Xing Xie
2022 A* conf
USB: A Unified Semi-supervised Learning Benchmark for Classification.
NeurIPS
Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yufeng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang
2022 J jnl
USB: A Unified Semi-supervised Learning Benchmark.
CoRR
Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yufeng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang
2022 A conf
Wav2vec-S: Semi-Supervised Pre-Training for Low-Resource ASR.
INTERSPEECH
Han Zhu, Li Wang, Gaofeng Cheng, Jindong Wang, Pengyuan Zhang, Yonghong Yan
2021 A conf
AdaRNN: Adaptive Learning and Forecasting of Time Series.
CIKM
Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Jialin Pan, Tao Qin, Renjun Xu, Chongjun Wang
2021 J jnl
AdaRNN: Adaptive Learning and Forecasting of Time Series.
CoRR
Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Jialin Pan, Tao Qin, Renjun Xu, Chongjun Wang
2021 A conf
Cross-Domain Speech Recognition with Unsupervised Character-Level Distribution Matching.
Interspeech
Wenxin Hou, Jindong Wang, Xu Tan, Tao Qin, Takahiro Shinozaki
2021 J jnl
Cross-domain Activity Recognition via Substructural Optimal Transport.
CoRR
Wang Lu, Yiqiang Chen, Jindong Wang, Xin Qin
2021 J jnl
Cross-domain Speech Recognition with Unsupervised Character-level Distribution Matching.
CoRR
Wenxin Hou, Jindong Wang, Xu Tan, Tao Qin, Takahiro Shinozaki
2021 J jnl
Cross-domain activity recognition via substructural optimal transport.
Neurocomputing
Wang Lu, Yiqiang Chen, Jindong Wang, Xin Qin
2021 J jnl
Deep Subdomain Adaptation Network for Image Classification.
CoRR
Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Guolin Ke, Jingwu Chen, Jiang Bian, Hui Xiong, Qing He
2021 J jnl
Deep Subdomain Adaptation Network for Image Classification.
IEEE Trans. Neural Networks Learn. Syst.
Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Guolin Ke, Jingwu Chen, Jiang Bian, Hui Xiong, Qing He
2021 J jnl
Exploiting Adapters for Cross-lingual Low-resource Speech Recognition.
CoRR
Wenxin Hou, Han Zhu, Yidong Wang, Jindong Wang, Tao Qin, Renjun Xu, Takahiro Shinozaki
2021 J jnl
FedHealth 2: Weighted Federated Transfer Learning via Batch Normalization for Personalized Healthcare.
CoRR
Yiqiang Chen, Wang Lu, Jindong Wang, Xin Qin
2021 J jnl
Federated Learning with Adaptive Batchnorm for Personalized Healthcare.
CoRR
Yiqiang Chen, Wang Lu, Jindong Wang, Xin Qin, Tao Qin
2021 A* conf
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling.
NeurIPS
Bowen Zhang, Yidong Wang, Wenxin Hou, Hao Wu, Jindong Wang, Manabu Okumura, Takahiro Shinozaki
2021 J jnl
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling.
CoRR
Bowen Zhang, Yidong Wang, Wenxin Hou, Hao Wu, Jindong Wang, Manabu Okumura, Takahiro Shinozaki
2021 A* conf
Generalizing to Unseen Domains: A Survey on Domain Generalization.
IJCAI
Jindong Wang, Cuiling Lan, Chang Liu, Yidong Ouyang, Tao Qin
2021 J jnl
Generalizing to Unseen Domains: A Survey on Domain Generalization.
CoRR
Jindong Wang, Cuiling Lan, Chang Liu, Yidong Ouyang, Tao Qin
2021 A* conf
Learning Causal Semantic Representation for Out-of-Distribution Prediction.
NeurIPS
Chang Liu, Xinwei Sun, Jindong Wang, Haoyue Tang, Tao Li, Tao Qin, Wei Chen, Tie-Yan Liu
2021 J jnl
Learning Invariant Representations across Domains and Tasks.
CoRR
Jindong Wang, Wenjie Feng, Chang Liu, Chaohui Yu, Mingxuan Du, Renjun Xu, Tao Qin, Tie-Yan Liu
2021 J jnl
Margin Calibration for Long-Tailed Visual Recognition.
CoRR
Yidong Wang, Bowen Zhang, Wenxin Hou, Zhen Wu, Jindong Wang, Takahiro Shinozaki
2021 Misc conf
MixSpeech: Data Augmentation for Low-Resource Automatic Speech Recognition.
ICASSP
Linghui Meng, Jin Xu, Xu Tan, Jindong Wang, Tao Qin, Bo Xu
2021 J jnl
MixSpeech: Data Augmentation for Low-resource Automatic Speech Recognition.
CoRR
Linghui Meng, Jin Xu, Xu Tan, Jindong Wang, Tao Qin, Bo Xu
2021 J jnl
Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals.
CoRR
Yuxin Zhang, Yiqiang Chen, Jindong Wang, Zhiwen Pan
2021 J jnl
Wav2vec-S: Semi-Supervised Pre-Training for Speech Recognition.
CoRR
Han Zhu, Li Wang, Ying Hou, Jindong Wang, Gaofeng Cheng, Pengyuan Zhang, Yonghong Yan
2020 J jnl
FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare.
IEEE Intell. Syst.
Yiqiang Chen, Xin Qin, Jindong Wang, Chaohui Yu, Wen Gao
2020 A* conf
Joint Partial Optimal Transport for Open Set Domain Adaptation.
IJCAI
Renjun Xu, Pelen Liu, Yin Zhang, Fang Cai, Jindong Wang, Shuoying Liang, Heting Ying, Jianwei Yin
2020 J jnl
Learning Causal Semantic Representation for Out-of-Distribution Prediction.
CoRR
Chang Liu, Xinwei Sun, Jindong Wang, Tao Li, Tao Qin, Wei Chen, Tie-Yan Liu
2020 J jnl
Learning to Match Distributions for Domain Adaptation.
CoRR
Chaohui Yu, Jindong Wang, Chang Liu, Tao Qin, Renjun Xu, Wenjie Feng, Yiqiang Chen, Tie-Yan Liu
2020 A* conf
Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation.
CVPR
Renjun Xu, Pelen Liu, Liyan Wang, Chao Chen, Jindong Wang
2020 J jnl
Transfer Learning with Dynamic Distribution Adaptation.
ACM Trans. Intell. Syst. Technol.
Jindong Wang, Yiqiang Chen, Wenjie Feng, Han Yu, Meiyu Huang, Qiang Yang
2019 B conf
Accelerating Deep Unsupervised Domain Adaptation with Transfer Channel Pruning.
IJCNN
Chaohui Yu, Jindong Wang, Yiqiang Chen, Zijing Wu
2019 J jnl
Accelerating Deep Unsupervised Domain Adaptation with Transfer Channel Pruning.
CoRR
Chaohui Yu, Jindong Wang, Yiqiang Chen, Zijing Wu
2019 J jnl
Cross-Dataset Activity Recognition via Adaptive Spatial-Temporal Transfer Learning.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Xin Qin, Yiqiang Chen, Jindong Wang, Chaohui Yu
2019 J jnl
Cross-position activity recognition with stratified transfer learning.
Pervasive Mob. Comput.
Yiqiang Chen, Jindong Wang, Meiyu Huang, Han Yu
2019 J jnl
Deep learning for sensor-based activity recognition: A survey.
Pattern Recognit. Lett.
Jindong Wang, Yiqiang Chen, Shuji Hao, Xiaohui Peng, Lisha Hu
2019 — conf
DrowsyDet: A Mobile Application for Real-time Driver Drowsiness Detection.
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Chaohui Yu, Xin Qin, Yiqiang Chen, Jindong Wang, Chenchen Fan
2019 A conf
Easy Transfer Learning By Exploiting Intra-Domain Structures.
ICME
Jindong Wang, Yiqiang Chen, Han Yu, Meiyu Huang, Qiang Yang
2019 J jnl
Easy Transfer Learning By Exploiting Intra-domain Structures.
CoRR
Jindong Wang, Yiqiang Chen, Han Yu, Meiyu Huang, Qiang Yang
2019 J jnl
FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare.
CoRR
Yiqiang Chen, Jindong Wang, Chaohui Yu, Wen Gao, Xin Qin
2019 J jnl
Multi-representation adaptation network for cross-domain image classification.
Neural Networks
Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Jingwu Chen, Zhiping Shi, Wenjuan Wu, Qing He
2019 — conf
Transfer Channel Pruning for Compressing Deep Domain Adaptation Models.
PAKDD (Workshops)
Chaohui Yu, Jindong Wang, Yiqiang Chen, Zijing Wu
2019 A* conf
Transfer Learning with Dynamic Adversarial Adaptation Network.
ICDM
Chaohui Yu, Jindong Wang, Yiqiang Chen, Meiyu Huang
2019 J jnl
Transfer Learning with Dynamic Adversarial Adaptation Network.
CoRR
Chaohui Yu, Jindong Wang, Yiqiang Chen, Meiyu Huang
2019 J jnl
Transfer Learning with Dynamic Distribution Adaptation.
CoRR
Jindong Wang, Yiqiang Chen, Wenjie Feng, Han Yu, Meiyu Huang, Qiang Yang
2019 J jnl
Transfer channel pruning for compressing deep domain adaptation models.
Int. J. Mach. Learn. Cybern.
Chaohui Yu, Jindong Wang, Yiqiang Chen, Xin Qin
2018 J jnl
Balanced Distribution Adaptation for Transfer Learning.
CoRR
Jindong Wang, Yiqiang Chen, Shuji Hao, Wenjie Feng, Zhiqi Shen
2018 J jnl
Cross-position Activity Recognition with Stratified Transfer Learning.
CoRR
Yiqiang Chen, Jindong Wang, Meiyu Huang, Han Yu
2018 — conf
Deep Transfer Learning for Cross-domain Activity Recognition.
ICCSE
Jindong Wang, Vincent W. Zheng, Yiqiang Chen, Meiyu Huang
2018 J jnl
OKRELM: online kernelized and regularized extreme learning machine for wearable-based activity recognition.
Int. J. Mach. Learn. Cybern.
Lisha Hu, Yiqiang Chen, Jindong Wang, Chunyu Hu, Xinlong Jiang
2018 A* conf
Stratified Transfer Learning for Cross-domain Activity Recognition.
PerCom
Jindong Wang, Yiqiang Chen, Lisha Hu, Xiaohui Peng, Philip S. Yu
2018 J jnl
Stratified Transfer Learning for Cross-domain Activity Recognition.
CoRR
Jindong Wang, Yiqiang Chen, Lisha Hu, Xiaohui Peng, Philip S. Yu
2018 A* conf
Visual Domain Adaptation with Manifold Embedded Distribution Alignment.
ACM Multimedia
Jindong Wang, Wenjie Feng, Yiqiang Chen, Han Yu, Meiyu Huang, Philip S. Yu
2018 J jnl
Visual Domain Adaptation with Manifold Embedded Distribution Alignment.
CoRR
Jindong Wang, Wenjie Feng, Yiqiang Chen, Han Yu, Meiyu Huang, Philip S. Yu
2017 A* conf
Balanced Distribution Adaptation for Transfer Learning.
ICDM
Jindong Wang, Yiqiang Chen, Shuji Hao, Wenjie Feng, Zhiqi Shen
2017 J jnl
BrainStorm: a psychosocial game suite design for non-invasive cross-generational cognitive capabilities data collection.
J. Exp. Theor. Artif. Intell.
Faizan Ahmad, Yiqiang Chen, Lisha Hu, Shuangquan Wang, Jindong Wang, Zhenyu Chen, Xinlong Jiang, Jianfei Shen
2017 J jnl
Deep Learning for Sensor-based Activity Recognition: A Survey.
CoRR
Jindong Wang, Yiqiang Chen, Shuji Hao, Xiaohui Peng, Lisha Hu
2017 — conf
Weak multipath effect identification for indoor distance estimation.
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Xiaohai Li, Yiqiang Chen, Zhongdong Wu, Xiaohui Peng, Jindong Wang, Lisha Hu, Diancun Yu
2016 B conf
A Study of Players' Experiences During Brain Games Play.
PRICAI
Faizan Ahmad, Yiqiang Chen, Shuangquan Wang, Zhenyu Chen, Jianfei Shen, Lisha Hu, Jindong Wang
2016 — conf
Less Annotation on Personalized Activity Recognition Using Context Data.
UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld
Lisha Hu, Yiqiang Chen, Shuangquan Wang, Jindong Wang, Jianfei Shen, Xinlong Jiang, Zhiqi Shen
2016 — conf
OCEAN: a new opportunistic computing model for wearable activity recognition.
UbiComp Adjunct
Yiqiang Chen, Yang Gu, Xinlong Jiang, Jindong Wang