Yu Cheng

341 papers A* 74A 11B 3C 2Journal 191Unranked 60
YearRankTypeTitle / Venue / Authors
2026 J jnl
AdaReasoner: Dynamic Tool Orchestration for Iterative Visual Reasoning.
CoRR
Mingyang Song, Haoyu Sun, Jiawei Gu, Linjie Li, Luxin Xu, Ranjay Krishna, Yu Cheng
2026 J jnl
Characterizing, Evaluating, and Optimizing Complex Reasoning.
CoRR
Haoran Zhang, Yafu Li, Zhi Wang, Zhilin Wang, Shunkai Zhang, Xiaoye Qu, Yu Cheng
2026 — conf
Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-task Learning.
KDD (1)
Ziyu Zhao, Yixiao Zhou, Xin Yu, Zhi Zhang, Didi Zhu, Tao Shen, Zexi Li, Jinluan Yang, Xuwu Wang, Jing Su, Kun Kuang, Zhongyu Wei, Fei Wu, Yu Cheng
2026 J jnl
ExFusion: Efficient Transformer Training via Multi-Experts Fusion.
CoRR
Jiacheng Ruan, Daize Dong, Xiaoye Qu, Tong Zhu, Ting Liu, Yuzhuo Fu, Yu Cheng, Suncheng Xiang
2026 J jnl
ExpertWeaver: Unlocking the Inherent MoE in Dense LLMs with GLU Activation Patterns.
CoRR
Ziyu Zhao, Tong Zhu, Zhiqiang Zhang, Tiantian Fan, Jinluan Yang, Kun Kuang, Zhongyu Wei, Fei Wu, Yu Cheng
2026 J jnl
FaithRL: Learning to Reason Faithfully through Step-Level Faithfulness Maximization.
CoRR
Runquan Gui, Yafu Li, Xiaoye Qu, Ziyan Liu, Yeqiu Cheng, Yu Cheng
2026 J jnl
GEMS: Agent-Native Multimodal Generation with Memory and Skills.
CoRR
Zefeng He, Siyuan Huang, Xiaoye Qu, Yafu Li, Tong Zhu, Yu Cheng, Yang Yang
2026 J jnl
LatentMem: Customizing Latent Memory for Multi-Agent Systems.
CoRR
Muxin Fu, Guibin Zhang, Xiangyuan Xue, Yafu Li, Zefeng He, Siyuan Huang, Xiaoye Qu, Yu Cheng, Yang Yang
2026 A* conf
Less Is More: Vision Representation Compression for Efficient Video Generation with Large Language Models.
AAAI
Yucheng Zhou, Jihai Zhang, Guanjie Chen, Jianbing Shen, Yu Cheng
2026 J jnl
Look Inward to Explore Outward: Learning Temperature Policy from LLM Internal States via Hierarchical RL.
CoRR
Yixiao Zhou, Yang Li, Dongzhou Cheng, Hehe Fan, Yu Cheng
2026 J jnl
New Skills or Sharper Primitives? A Probabilistic Perspective on the Emergence of Reasoning in RLVR.
CoRR
Zhilin Wang, Yafu Li, Shunkai Zhang, Zhi Wang, Haoran Zhang, Xiaoye Qu, Yu Cheng
2026 J jnl
P1-VL: Bridging Visual Perception and Scientific Reasoning in Physics Olympiads.
CoRR
Yun Luo, Futing Wang, Qianjia Cheng, Fangchen Yu, Haodi Lei, Jianhao Yan, Chenxi Li, Jiacheng Chen, Yufeng Zhao, Haiyuan Wan, Yuchen Zhang, Shenghe Zheng, Junchi Yao, Qingyang Zhang, Haonan He, Wenxuan Zeng, Li Sheng, Chengxing Xie, Yuxin Zuo, Yizhuo Li, Yulun Wu, Rui Huang, Dongzhan Zhou, Kai Chen, Yu Qiao, Lei Bai, Yu Cheng, Ning Ding, Bowen Zhou, Peng Ye, Ganqu Cui
2026 J jnl
Think Longer to Explore Deeper: Learn to Explore In-Context via Length-Incentivized Reinforcement Learning.
CoRR
Futing Wang, Jianhao Yan, Yun Luo, Ganqu Cui, Zhi Wang, Xiaoye Qu, Yue Zhang, Yu Cheng, Tao Lin
2025 J jnl
A Survey of Attacks on Large Vision-Language Models: Resources, Advances, and Future Trends.
IEEE Trans. Neural Networks Learn. Syst.
Daizong Liu, Mingyu Yang, Xiaoye Qu, Pan Zhou, Yu Cheng, Wei Hu
2025 J jnl
A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond.
CoRR
Xiaoye Qu, Yafu Li, Zhaochen Su, Weigao Sun, Jianhao Yan, Dongrui Liu, Ganqu Cui, Daizong Liu, Shuxian Liang, Junxian He, Peng Li, Wei Wei, Jing Shao, Chaochao Lu, Yue Zhang, Xian-Sheng Hua, Bowen Zhou, Yu Cheng
2025 J jnl
Advancing Multimodal Reasoning: From Optimized Cold Start to Staged Reinforcement Learning.
CoRR
Shuang Chen, Yue Guo, Zhaochen Su, Yafu Li, Yulun Wu, Jiacheng Chen, Jiayu Chen, Weijie Wang, Xiaoye Qu, Yu Cheng
2025 A* conf
Bit-Flip Error Resilience in LLMs: A Comprehensive Analysis and Defense Framework.
EMNLP
Yuhang Chen, Zhen Tan, Ajay Kumar Jaiswal, Huaizhi Qu, Xinyu Zhao, Qi Lin, Yu Cheng, Andrew Kwong, Zhichao Cao, Tianlong Chen
2025 A* conf
CLIP-MoE: Towards Building Mixture of Experts for CLIP with Diversified Multiplet Upcycling.
EMNLP
Jihai Zhang, Xiaoye Qu, Tong Zhu, Yu Cheng
2025 A* conf
Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark.
ICML
Yunzhuo Hao, Jiawei Gu, Huichen Will Wang, Linjie Li, Zhengyuan Yang, Lijuan Wang, Yu Cheng
2025 J jnl
Conditional Advantage Estimation for Reinforcement Learning in Large Reasoning Models.
CoRR
Guanxu Chen, Yafu Li, Yuxian Jiang, Chen Qian, Qihan Ren, Jingyi Yang, Yu Cheng, Dongrui Liu, Jing Shao
2025 — conf
Cooperative or Competitive? Understanding the Interaction between Attention Heads From A Game Theory Perspective.
ACL (1)
Xiaoye Qu, Zengqi Yu, Dongrui Liu, Wei Wei, Daizong Liu, Jianfeng Dong, Yu Cheng
2025 J jnl
DiffThinker: Towards Generative Multimodal Reasoning with Diffusion Models.
CoRR
Zefeng He, Xiaoye Qu, Yafu Li, Tong Zhu, Siyuan Huang, Yu Cheng
2025 J jnl
Diversity-Incentivized Exploration for Versatile Reasoning.
CoRR
Zican Hu, Shilin Zhang, Yafu Li, Jianhao Yan, Xuyang Hu, Leyang Cui, Xiaoye Qu, Chunlin Chen, Yu Cheng, Zhi Wang
2025 A* conf
Divide and Conquer: Grounding LLMs as Efficient Decision-Making Agents via Offline Hierarchical Reinforcement Learning.
ICML
Zican Hu, Wei Liu, Xiaoye Qu, Xiangyu Yue, Chunlin Chen, Zhi Wang, Yu Cheng
2025 J jnl
Divide and Conquer: Grounding LLMs as Efficient Decision-Making Agents via Offline Hierarchical Reinforcement Learning.
CoRR
Zican Hu, Wei Liu, Xiaoye Qu, Xiangyu Yue, Chunlin Chen, Zhi Wang, Yu Cheng
2025 A* conf
Diving into Self-Evolving Training for Multimodal Reasoning.
ICML
Wei Liu, Junlong Li, Xiwen Zhang, Fan Zhou, Yu Cheng, Junxian He
2025 — conf
Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs.
EMNLP (Findings)
Yixiao Zhou, Ziyu Zhao, Dongzhou Cheng, Zhiliang Wu, Jie Gui, Yi Yang, Fei Wu, Yu Cheng, Hehe Fan
2025 J jnl
Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs.
CoRR
Yixiao Zhou, Ziyu Zhao, Dongzhou Cheng, Zhiliang Wu, Jie Gui, Yi Yang, Fei Wu, Yu Cheng, Hehe Fan
2025 — conf
Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts.
NAACL (Long Papers)
Tong Zhu, Daize Dong, Xiaoye Qu, Jiacheng Ruan, Wenliang Chen, Yu Cheng
2025 J jnl
Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-Task Learning.
CoRR
Ziyu Zhao, Yixiao Zhou, Didi Zhu, Tao Shen, Xuwu Wang, Jing Su, Kun Kuang, Zhongyu Wei, Fei Wu, Yu Cheng
2025 J jnl
ExGRPO: Learning to Reason from Experience.
CoRR
Runzhe Zhan, Yafu Li, Zhi Wang, Xiaoye Qu, Dongrui Liu, Jing Shao, Derek F. Wong, Yu Cheng
2025 A* conf
Extrapolating and Decoupling Image-to-Video Generation Models: Motion Modeling is Easier Than You Think.
CVPR
Jie Tian, Xiaoye Qu, Zhenyi Lu, Wei Wei, Sichen Liu, Yu Cheng
2025 J jnl
Extrapolating and Decoupling Image-to-Video Generation Models: Motion Modeling is Easier Than You Think.
CoRR
Jie Tian, Xiaoye Qu, Zhenyi Lu, Wei Wei, Sichen Liu, Yu Cheng
2025 J jnl
Flash-DMD: Towards High-Fidelity Few-Step Image Generation with Efficient Distillation and Joint Reinforcement Learning.
CoRR
Guanjie Chen, Shirui Huang, Kai Liu, Jianchen Zhu, Xiaoye Qu, Peng Chen, Yu Cheng, Yifu Sun
2025 J jnl
FrameThinker: Learning to Think with Long Videos via Multi-Turn Frame Spotlighting.
CoRR
Zefeng He, Xiaoye Qu, Yafu Li, Siyuan Huang, Daizong Liu, Yu Cheng
2025 J jnl
From AI for Science to Agentic Science: A Survey on Autonomous Scientific Discovery.
CoRR
Jiaqi Wei, Yuejin Yang, Xiang Zhang, Yuhan Chen, Xiang Zhuang, Zhangyang Gao, Dongzhan Zhou, Guangshuai Wang, Zhiqiang Gao, Juntai Cao, Zijie Qiu, Xuming He, Qiang Zhang, Chenyu You, Shuangjia Zheng, Ning Ding, Wanli Ouyang, Nanqing Dong, Yu Cheng, Siqi Sun, Lei Bai, Bowen Zhou
2025 J jnl
From Drafts to Answers: Unlocking LLM Potential via Aggregation Fine-Tuning.
CoRR
Yafu Li, Zhilin Wang, Tingchen Fu, Ganqu Cui, Sen Yang, Yu Cheng
2025 A* conf
From Head to Tail: Towards Balanced Representation in Large Vision-Language Models through Adaptive Data Calibration.
CVPR
Mingyang Song, Xiaoye Qu, Jiawei Zhou, Yu Cheng
2025 J jnl
From Head to Tail: Towards Balanced Representation in Large Vision-Language Models through Adaptive Data Calibration.
CoRR
Mingyang Song, Xiaoye Qu, Jiawei Zhou, Yu Cheng
2025 J jnl
HiPhO: How Far Are (M)LLMs from Humans in the Latest High School Physics Olympiad Benchmark?
CoRR
Fangchen Yu, Haiyuan Wan, Qianjia Cheng, Yuchen Zhang, Jiacheng Chen, Fujun Han, Yulun Wu, Junchi Yao, Ruilizhen Hu, Ning Ding, Yu Cheng, Tao Chen, Lei Bai, Dongzhan Zhou, Yun Luo, Ganqu Cui, Peng Ye
2025 J jnl
Interleaving Reasoning for Better Text-to-Image Generation.
CoRR
Wenxuan Huang, Shuang Chen, Zheyong Xie, Shaosheng Cao, Shixiang Tang, Yufan Shen, Qingyu Yin, Wenbo Hu, Xiaoman Wang, Yuntian Tang, Junbo Qiao, Yue Guo, Yao Hu, Zhenfei Yin, Philip Torr, Yu Cheng, Wanli Ouyang, Shaohui Lin
2025 J jnl
LASP-2: Rethinking Sequence Parallelism for Linear Attention and Its Hybrid.
CoRR
Weigao Sun, Disen Lan, Yiran Zhong, Xiaoye Qu, Yu Cheng
2025 J jnl
LangBridge: Interpreting Image as a Combination of Language Embeddings.
CoRR
Jiaqi Liao, Yuwei Niu, Fanqing Meng, Hao Li, Changyao Tian, Yinuo Du, Yuwen Xiong, Dianqi Li, Xizhou Zhu, Li Yuan, Jifeng Dai, Yu Cheng
2025 J jnl
Learning to Reason under Off-Policy Guidance.
CoRR
Jianhao Yan, Yafu Li, Zican Hu, Zhi Wang, Ganqu Cui, Xiaoye Qu, Yu Cheng, Yue Zhang
2025 J jnl
Leave It to the Experts: Detecting Knowledge Distillation via MoE Expert Signatures.
CoRR
Pingzhi Li, Morris Yu-Chao Huang, Zhen Tan, Qingquan Song, Jie Peng, Kai Zou, Yu Cheng, Kaidi Xu, Tianlong Chen
2025 A* conf
Liger: Linearizing Large Language Models to Gated Recurrent Structures.
ICML
Disen Lan, Weigao Sun, Jiaxi Hu, Jusen Du, Yu Cheng
2025 J jnl
Liger: Linearizing Large Language Models to Gated Recurrent Structures.
CoRR
Disen Lan, Weigao Sun, Jiaxi Hu, Jusen Du, Yu Cheng
2025 J jnl
Linear-MoE: Linear Sequence Modeling Meets Mixture-of-Experts.
CoRR
Weigao Sun, Disen Lan, Tong Zhu, Xiaoye Qu, Yu Cheng
2025 B conf
Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoning.
COLING
Xiaoye Qu, Jiashuo Sun, Wei Wei, Daizong Liu, Jianfeng Dong, Yu Cheng
2025 A* conf
Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment.
ICML
Chenghao Fan, Zhenyi Lu, Sichen Liu, Chengfeng Gu, Xiaoye Qu, Wei Wei, Yu Cheng
2025 J jnl
Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment.
CoRR
Chenghao Fan, Zhenyi Lu, Sichen Liu, Xiaoye Qu, Wei Wei, Chengfeng Gu, Yu Cheng
2025 J jnl
MoM: Linear Sequence Modeling with Mixture-of-Memories.
CoRR
Jusen Du, Weigao Sun, Disen Lan, Jiaxi Hu, Yu Cheng
2025 J jnl
Multi-LLM Collaborative Search for Complex Problem Solving.
CoRR
Sen Yang, Yafu Li, Wai Lam, Yu Cheng
2025 J jnl
Nirvana: A Specialized Generalist Model With Task-Aware Memory Mechanism.
CoRR
Yuhua Jiang, Shuang Cheng, Yihao Liu, Ermo Hua, Che Jiang, Weigao Sun, Yu Cheng, Feifei Gao, Biqing Qi, Bowen Zhou
2025 J jnl
Occult: Optimizing Collaborative Communication across Experts for Accelerated Parallel MoE Training and Inference.
CoRR
Shuqing Luo, Pingzhi Li, Jie Peng, Hanrui Wang, Yang Zhao, Yu Cao, Yu Cheng, Tianlong Chen
2025 A* conf
Occult: Optimizing Collaborative Communications across Experts for Accelerated Parallel MoE Training and Inference.
ICML
Shuqing Luo, Pingzhi Li, Jie Peng, Yang Zhao, Yu Cao, Yu Cheng, Tianlong Chen
2025 J jnl
OpenThinkIMG: Learning to Think with Images via Visual Tool Reinforcement Learning.
CoRR
Zhaochen Su, Linjie Li, Mingyang Song, Yunzhuo Hao, Zhengyuan Yang, Jun Zhang, Guanjie Chen, Jiawei Gu, Juntao Li, Xiaoye Qu, Yu Cheng
2025 J jnl
P1: Mastering Physics Olympiads with Reinforcement Learning.
CoRR
Jiacheng Chen, Qianjia Cheng, Fangchen Yu, Haiyuan Wan, Yuchen Zhang, Shenghe Zheng, Junchi Yao, Qingyang Zhang, Haonan He, Yun Luo, Yufeng Zhao, Futing Wang, Li Sheng, Chengxing Xie, Yuxin Zuo, Yizhuo Li, Wenxauan Zeng, Yulun Wu, Rui Huang, Dongzhan Zhou, Kai Chen, Yu Qiao, Lei Bai, Yu Cheng, Ning Ding, Bowen Zhou, Peng Ye, Ganqu Cui
2025 — conf
PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models.
ACL (1)
Mingyang Song, Zhaochen Su, Xiaoye Qu, Jiawei Zhou, Yu Cheng
2025 J jnl
PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models.
CoRR
Mingyang Song, Zhaochen Su, Xiaoye Qu, Jiawei Zhou, Yu Cheng
2025 J jnl
Process Reinforcement through Implicit Rewards.
CoRR
Ganqu Cui, Lifan Yuan, Zefan Wang, Hanbin Wang, Wendi Li, Bingxiang He, Yuchen Fan, Tianyu Yu, Qixin Xu, Weize Chen, Jiarui Yuan, Huayu Chen, Kaiyan Zhang, Xingtai Lv, Shuo Wang, Yuan Yao, Xu Han, Hao Peng, Yu Cheng, Zhiyuan Liu, Maosong Sun, Bowen Zhou, Ning Ding
2025 J jnl
Reasoning over Boundaries: Enhancing Specification Alignment via Test-time Delibration.
CoRR
Haoran Zhang, Yafu Li, Xuyang Hu, Dongrui Liu, Zhilin Wang, Bo Li, Yu Cheng
2025 J jnl
Rethinking Entropy Regularization in Large Reasoning Models.
CoRR
Yuxian Jiang, Yafu Li, Guanxu Chen, Dongrui Liu, Yu Cheng, Jing Shao
2025 J jnl
SATORI-R1: Incentivizing Multimodal Reasoning with Spatial Grounding and Verifiable Rewards.
CoRR
Chuming Shen, Wei Wei, Xiaoye Qu, Yu Cheng
2025 — conf
SEE: Continual Fine-tuning with Sequential Ensemble of Experts.
ACL (Findings)
Zhilin Wang, Yafu Li, Xiaoye Qu, Yu Cheng
2025 J jnl
SEE: Continual Fine-tuning with Sequential Ensemble of Experts.
CoRR
Zhilin Wang, Yafu Li, Xiaoye Qu, Yu Cheng
2025 J jnl
Scaling Physical Reasoning with the PHYSICS Dataset.
CoRR
Shenghe Zheng, Qianjia Cheng, Junchi Yao, Mengsong Wu, Haonan He, Ning Ding, Yu Cheng, Shuyue Hu, Lei Bai, Dongzhan Zhou, Ganqu Cui, Peng Ye
2025 J jnl
Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models.
CoRR
Tingchen Fu, Jiawei Gu, Yafu Li, Xiaoye Qu, Yu Cheng
2025 J jnl
Speed Always Wins: A Survey on Efficient Architectures for Large Language Models.
CoRR
Weigao Sun, Jiaxi Hu, Yucheng Zhou, Jusen Du, Disen Lan, Kexin Wang, Tong Zhu, Xiaoye Qu, Yu Zhang, Xiaoyu Mo, Daizong Liu, Yuxuan Liang, Wenliang Chen, Guoqi Li, Yu Cheng
2025 J jnl
Spotlight on Token Perception for Multimodal Reinforcement Learning.
CoRR
Siyuan Huang, Xiaoye Qu, Yafu Li, Yun Luo, Zefeng He, Daizong Liu, Yu Cheng
2025 J jnl
Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning.
CoRR
Xinyao Liao, Wei Wei, Xiaoye Qu, Yu Cheng
2025 A* conf
Test-Time Preference Optimization: On-the-Fly Alignment via Iterative Textual Feedback.
ICML
Yafu Li, Xuyang Hu, Xiaoye Qu, Linjie Li, Yu Cheng
2025 J jnl
Test-Time Preference Optimization: On-the-Fly Alignment via Iterative Textual Feedback.
CoRR
Yafu Li, Xuyang Hu, Xiaoye Qu, Linjie Li, Yu Cheng
2025 J jnl
The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models.
CoRR
Ganqu Cui, Yuchen Zhang, Jiacheng Chen, Lifan Yuan, Zhi Wang, Yuxin Zuo, Haozhan Li, Yuchen Fan, Huayu Chen, Weize Chen, Zhiyuan Liu, Hao Peng, Lei Bai, Wanli Ouyang, Yu Cheng, Bowen Zhou, Ning Ding
2025 J jnl
ThinkMorph: Emergent Properties in Multimodal Interleaved Chain-of-Thought Reasoning.
CoRR
Jiawei Gu, Yunzhuo Hao, Huichen Will Wang, Linjie Li, Michael Qizhe Shieh, Yejin Choi, Ranjay Krishna, Yu Cheng
2025 J jnl
Thinking with Images for Multimodal Reasoning: Foundations, Methods, and Future Frontiers.
CoRR
Zhaochen Su, Peng Xiang, Hangyu Guo, Zhenhua Liu, Yan Ma, Xiaoye Qu, Jiaqi Liu, Yanshu Li, Kaide Zeng, Zhengyuan Yang, Linjie Li, Yu Cheng, Heng Ji, Junxian He, Yi R. (May) Fung
2025 A* conf
Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation.
ICML
Fanqing Meng, Jiaqi Liao, Xinyu Tan, Quanfeng Lu, Wenqi Shao, Kaipeng Zhang, Yu Cheng, Dianqi Li, Ping Luo
2025 J jnl
Towards an AI Musician: Synthesizing Sheet Music Problems for Musical Reasoning.
CoRR
Zhilin Wang, Zhe Yang, Yun Luo, Yafu Li, Xiaoye Qu, Ziqian Qiao, Haoran Zhang, Runzhe Zhan, Derek F. Wong, Jizhe Zhou, Yu Cheng
2025 — conf
Unveiling Attractor Cycles in Large Language Models: A Dynamical Systems View of Successive Paraphrasing.
ACL (1)
Zhilin Wang, Yafu Li, Jianhao Yan, Yu Cheng, Yue Zhang
2025 J jnl
Unveiling Attractor Cycles in Large Language Models: A Dynamical Systems View of Successive Paraphrasing.
CoRR
Zhilin Wang, Yafu Li, Jianhao Yan, Yu Cheng, Yue Zhang
2025 J jnl
VideoSSR: Video Self-Supervised Reinforcement Learning.
CoRR
Zefeng He, Xiaoye Qu, Yafu Li, Siyuan Huang, Daizong Liu, Yu Cheng
2025 A* conf
Weak to Strong Generalization for Large Language Models with Multi-capabilities.
ICLR
Yucheng Zhou, Jianbing Shen, Yu Cheng
2024 J jnl
A Survey of Attacks on Large Vision-Language Models: Resources, Advances, and Future Trends.
CoRR
Daizong Liu, Mingyu Yang, Xiaoye Qu, Pan Zhou, Yu Cheng, Wei Hu
2024 J jnl
Accelerating Vision Diffusion Transformers with Skip Branches.
CoRR
Guanjie Chen, Xinyu Zhao, Yucheng Zhou, Tianlong Chen, Yu Cheng
2024 J jnl
CLIP-MoE: Towards Building Mixture of Experts for CLIP with Diversified Multiplet Upcycling.
CoRR
Jihai Zhang, Xiaoye Qu, Tong Zhu, Yu Cheng
2024 J jnl
CR-MoE: Consistent Routed Mixture-of-Experts for Scaling Contrastive Learning.
Trans. Mach. Learn. Res.
Ziyu Jiang, Guoqing Zheng, Yu Cheng, Ahmed Hassan Awadallah, Zhangyang Wang
2024 — conf
Confidence is not Timeless: Modeling Temporal Validity for Rule-based Temporal Knowledge Graph Forecasting.
ACL (1)
Rikui Huang, Wei Wei, Xiaoye Qu, Shengzhe Zhang, Dangyang Chen, Yu Cheng
2024 J jnl
ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM.
CoRR
Zhaochen Su, Jun Zhang, Xiaoye Qu, Tong Zhu, Yanshu Li, Jiashuo Sun, Juntao Li, Min Zhang, Yu Cheng
2024 A* conf
ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMs.
NeurIPS
Zhaochen Su, Jun Zhang, Xiaoye Qu, Tong Zhu, Yanshu Li, Jiashuo Sun, Juntao Li, Min Zhang, Yu Cheng
2024 J jnl
DLO: Dynamic Layer Operation for Efficient Vertical Scaling of LLMs.
CoRR
Zhen Tan, Daize Dong, Xinyu Zhao, Jie Peng, Yu Cheng, Tianlong Chen
2024 J jnl
Diving into Self-Evolving Training for Multimodal Reasoning.
CoRR
Wei Liu, Junlong Li, Xiwen Zhang, Fan Zhou, Yu Cheng, Junxian He
2024 J jnl
Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts.
CoRR
Tong Zhu, Daize Dong, Xiaoye Qu, Jiacheng Ruan, Wenliang Chen, Yu Cheng
2024 A* conf
Enhancing Low-Resource Relation Representations through Multi-View Decoupling.
AAAI
Chenghao Fan, Wei Wei, Xiaoye Qu, Zhenyi Lu, Wenfeng Xie, Yu Cheng, Dangyang Chen
2024 J jnl
Examining Post-Training Quantization for Mixture-of-Experts: A Benchmark.
CoRR
Pingzhi Li, Xiaolong Jin, Yu Cheng, Tianlong Chen
2024 J jnl
LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training.
CoRR
Xiaoye Qu, Daize Dong, Xuyang Hu, Tong Zhu, Weigao Sun, Yu Cheng
2024 A* conf
LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-Training.
EMNLP
Tong Zhu, Xiaoye Qu, Daize Dong, Jiacheng Ruan, Jingqi Tong, Conghui He, Yu Cheng
2024 J jnl
LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training.
CoRR
Tong Zhu, Xiaoye Qu, Daize Dong, Jiacheng Ruan, Jingqi Tong, Conghui He, Yu Cheng
2024 — conf
Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning.
ECCV (83)
Jihai Zhang, Xiang Lan, Xiaoye Qu, Yu Cheng, Mengling Feng, Bryan Hooi
2024 J jnl
Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning.
CoRR
Jihai Zhang, Xiang Lan, Xiaoye Qu, Yu Cheng, Mengling Feng, Bryan Hooi
2024 — conf
Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning?
ACL (1)
Zhaochen Su, Juntao Li, Jun Zhang, Tong Zhu, Xiaoye Qu, Pan Zhou, Yan Bowen, Yu Cheng, Min Zhang
2024 J jnl
Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning?
CoRR
Zhaochen Su, Juntao Li, Jun Zhang, Tong Zhu, Xiaoye Qu, Pan Zhou, Yan Bowen, Yu Cheng, Min Zhang
2024 J jnl
Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoning.
CoRR
Xiaoye Qu, Jiashuo Sun, Wei Wei, Yu Cheng
2024 A* conf
MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution.
NeurIPS
Wei Tao, Yucheng Zhou, Yanlin Wang, Wenqiang Zhang, Hongyu Zhang, Yu Cheng
2024 J jnl
MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution.
CoRR
Wei Tao, Yucheng Zhou, Wenqiang Zhang, Yu Cheng
2024 A* conf
Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy.
ICLR
Pingzhi Li, Zhenyu Zhang, Prateek Yadav, Yi-Lin Sung, Yu Cheng, Mohit Bansal, Tianlong Chen
2024 — conf
Mitigating Boundary Ambiguity and Inherent Bias for Text Classification in the Era of Large Language Models.
ACL (Findings)
Zhenyi Lu, Jie Tian, Wei Wei, Xiaoye Qu, Yu Cheng, Wenfeng Xie, Dangyang Chen
2024 J jnl
Mitigating Boundary Ambiguity and Inherent Bias for Text Classification in the Era of Large Language Models.
CoRR
Zhenyi Lu, Jie Tian, Wei Wei, Xiaoye Qu, Yu Cheng, Wenfeng Xie, Dangyang Chen
2024 J jnl
Mitigating Multilingual Hallucination in Large Vision-Language Models.
CoRR
Xiaoye Qu, Mingyang Song, Wei Wei, Jianfeng Dong, Yu Cheng
2024 A* conf
MoE-RBench: Towards Building Reliable Language Models with Sparse Mixture-of-Experts.
ICML
Guanjie Chen, Xinyu Zhao, Tianlong Chen, Yu Cheng
2024 J jnl
MoE-RBench: Towards Building Reliable Language Models with Sparse Mixture-of-Experts.
CoRR
Guanjie Chen, Xinyu Zhao, Tianlong Chen, Yu Cheng
2024 A* conf
Not All Inputs Are Valid: Towards Open-Set Video Moment Retrieval using Language.
ACM Multimedia
Xiang Fang, Wanlong Fang, Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Renfu Li, Zichuan Xu, Lixing Chen, Panpan Zheng, Yu Cheng
2024 A* conf
On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion.
NeurIPS
Chenghao Fan, Zhenyi Lu, Wei Wei, Jie Tian, Xiaoye Qu, Dangyang Chen, Yu Cheng
2024 J jnl
On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion.
CoRR
Chenghao Fan, Zhenyi Lu, Wei Wei, Jie Tian, Xiaoye Qu, Dangyang Chen, Yu Cheng
2024 A* conf
On the Universal Truthfulness Hyperplane Inside LLMs.
EMNLP
Junteng Liu, Shiqi Chen, Yu Cheng, Junxian He
2024 J jnl
On the Universal Truthfulness Hyperplane Inside LLMs.
CoRR
Junteng Liu, Shiqi Chen, Yu Cheng, Junxian He
2024 J jnl
One is Not Enough: Parameter-Efficient Fine-Tuning With Multiplicative Sparse Factorization.
IEEE J. Sel. Top. Signal Process.
Xuxi Chen, Tianlong Chen, Yu Cheng, Weizhu Chen, Ahmed Hassan Awadallah, Zhangyang Wang
2024 J jnl
Outlier detection in temporal and spatial sequences via correlation analysis based on graph neural networks.
Displays
Yan Gao, Qingquan Lin, Shuang Ye, Yu Cheng, Tao Zhang, Bin Liang, Weining Lu
2024 A conf
ProS: Facial Omni-Representation Learning via Prototype-based Self-Distillation.
WACV
Xing Di, Yiyu Zheng, Xiaoming Liu, Yu Cheng
2024 — conf
Reinforcement Learning with Token-level Feedback for Controllable Text Generation.
NAACL-HLT (Findings)
Wendi Li, Wei Wei, Kaihe Xu, Wenfeng Xie, Dangyang Chen, Yu Cheng
2024 J jnl
Reinforcement Learning with Token-level Feedback for Controllable Text Generation.
CoRR
Wendi Li, Wei Wei, Kaihe Xu, Wenfeng Xie, Dangyang Chen, Yu Cheng
2024 — conf
Rethinking Weakly-Supervised Video Temporal Grounding From a Game Perspective.
ECCV (45)
Xiang Fang, Zeyu Xiong, Wanlong Fang, Xiaoye Qu, Chen Chen, Jianfeng Dong, Keke Tang, Pan Zhou, Yu Cheng, Daizong Liu
2024 A* conf
SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information.
EMNLP
Jiashuo Sun, Jihai Zhang, Yucheng Zhou, Zhaochen Su, Xiaoye Qu, Yu Cheng
2024 J jnl
SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information.
CoRR
Jiashuo Sun, Jihai Zhang, Yucheng Zhou, Zhaochen Su, Xiaoye Qu, Yu Cheng
2024 A* conf
Sparse MoE with Language Guided Routing for Multilingual Machine Translation.
ICLR
Xinyu Zhao, Xuxi Chen, Yu Cheng, Tianlong Chen
2024 J jnl
Timo: Towards Better Temporal Reasoning for Language Models.
CoRR
Zhaochen Su, Jun Zhang, Tong Zhu, Xiaoye Qu, Juntao Li, Min Zhang, Yu Cheng
2024 — conf
Towards Robust Temporal Activity Localization Learning with Noisy Labels.
LREC/COLING
Daizong Liu, Xiaoye Qu, Xiang Fang, Jianfeng Dong, Pan Zhou, Guoshun Nan, Keke Tang, Wanlong Fang, Yu Cheng
2024 J jnl
Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation.
CoRR
Fanqing Meng, Jiaqi Liao, Xinyu Tan, Wenqi Shao, Quanfeng Lu, Kaipeng Zhang, Yu Cheng, Dianqi Li, Yu Qiao, Ping Luo
2024 J jnl
Transform-Equivariant Consistency Learning for Temporal Sentence Grounding.
ACM Trans. Multim. Comput. Commun. Appl.
Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Zichuan Xu, Haozhao Wang, Xing Di, Weining Lu, Yu Cheng
2024 A* conf
Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging.
NeurIPS
Zhenyi Lu, Chenghao Fan, Wei Wei, Xiaoye Qu, Dangyang Chen, Yu Cheng
2024 J jnl
Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging.
CoRR
Zhenyi Lu, Chenghao Fan, Wei Wei, Xiaoye Qu, Dangyang Chen, Yu Cheng
2024 A* conf
Unsupervised Domain Adaptative Temporal Sentence Localization with Mutual Information Maximization.
AAAI
Daizong Liu, Xiang Fang, Xiaoye Qu, Jianfeng Dong, He Yan, Yang Yang, Pan Zhou, Yu Cheng
2023 J jnl
A Survey of Reasoning with Foundation Models.
CoRR
Jiankai Sun, Chuanyang Zheng, Enze Xie, Zhengying Liu, Ruihang Chu, Jianing Qiu, Jiaqi Xu, Mingyu Ding, Hongyang Li, Mengzhe Geng, Yue Wu, Wenhai Wang, Junsong Chen, Zhangyue Yin, Xiaozhe Ren, Jie Fu, Junxian He, Wu Yuan, Qi Liu, Xihui Liu, Yu Li, Hao Dong, Yu Cheng, Ming Zhang, Pheng-Ann Heng, Jifeng Dai, Ping Luo, Jingdong Wang, Ji-Rong Wen, Xipeng Qiu, Yike Guo, Hui Xiong, Qun Liu, Zhenguo Li
2023 A* conf
Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning.
ICLR
Qingru Zhang, Minshuo Chen, Alexander Bukharin, Pengcheng He, Yu Cheng, Weizhu Chen, Tuo Zhao
2023 J jnl
Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning.
CoRR
Qingru Zhang, Minshuo Chen, Alexander Bukharin, Pengcheng He, Yu Cheng, Weizhu Chen, Tuo Zhao
2023 — conf
Annotations Are Not All You Need: A Cross-modal Knowledge Transfer Network for Unsupervised Temporal Sentence Grounding.
EMNLP (Findings)
Xiang Fang, Daizong Liu, Wanlong Fang, Pan Zhou, Yu Cheng, Keke Tang, Kai Zou
2023 — conf
DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models.
ACL (1)
Xuxi Chen, Tianlong Chen, Weizhu Chen, Ahmed Hassan Awadallah, Zhangyang Wang, Yu Cheng
2023 A* conf
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models.
NeurIPS
Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang T. Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li
2023 J jnl
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models.
CoRR
Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang T. Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li
2023 A* conf
Filling the Information Gap between Video and Query for Language-Driven Moment Retrieval.
ACM Multimedia
Daizong Liu, Xiaoye Qu, Jianfeng Dong, Guoshun Nan, Pan Zhou, Zichuan Xu, Lixing Chen, He Yan, Yu Cheng
2023 A* conf
Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis.
AAAI
Wan-Cyuan Fan, Yen-Chun Chen, Dongdong Chen, Yu Cheng, Lu Yuan, Yu-Chiang Frank Wang
2023 J jnl
GRILL: Grounded Vision-language Pre-training via Aligning Text and Image Regions.
CoRR
Woojeong Jin, Subhabrata Mukherjee, Yu Cheng, Yelong Shen, Weizhu Chen, Ahmed Hassan Awadallah, Damien Jose, Xiang Ren
2023 A* conf
Hypotheses Tree Building for One-Shot Temporal Sentence Localization.
AAAI
Daizong Liu, Xiang Fang, Pan Zhou, Xing Di, Weining Lu, Yu Cheng
2023 J jnl
Hypotheses Tree Building for One-Shot Temporal Sentence Localization.
CoRR
Daizong Liu, Xiang Fang, Pan Zhou, Xing Di, Weining Lu, Yu Cheng
2023 J jnl
Improving Low-resource Prompt-based Relation Representation with Multi-view Decoupling Learning.
CoRR
Chenghao Fan, Wei Wei, Xiaoye Qu, Zhenyi Lu, Wenfeng Xie, Yu Cheng, Dangyang Chen
2023 J jnl
Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy.
CoRR
Pingzhi Li, Zhenyu Zhang, Prateek Yadav, Yi-Lin Sung, Yu Cheng, Mohit Bansal, Tianlong Chen
2023 J jnl
ProS: Facial Omni-Representation Learning via Prototype-based Self-Distillation.
CoRR
Xing Di, Yiyu Zheng, Xiaoming Liu, Yu Cheng
2023 J jnl
Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding.
CoRR
Jiahao Zhu, Daizong Liu, Pan Zhou, Xing Di, Yu Cheng, Song Yang, Wenzheng Xu, Zichuan Xu, Yao Wan, Lichao Sun, Zeyu Xiong
2023 A conf
Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding.
EACL
Mengnan Du, Subhabrata Mukherjee, Yu Cheng, Milad Shokouhi, Xia Hu, Ahmed Hassan Awadallah
2023 J jnl
Transform-Equivariant Consistency Learning for Temporal Sentence Grounding.
CoRR
Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Zichuan Xu, Haozhao Wang, Xing Di, Weining Lu, Yu Cheng
2023 A* conf
You Are Catching My Attention: Are Vision Transformers Bad Learners under Backdoor Attacks?
CVPR
Zenghui Yuan, Pan Zhou, Kai Zou, Yu Cheng
2022 — conf
A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models.
ACL (1)
Woojeong Jin, Yu Cheng, Yelong Shen, Weizhu Chen, Xiang Ren
2022 J jnl
Adversarial Feature Augmentation and Normalization for Visual Recognition.
Trans. Mach. Learn. Res.
Tianlong Chen, Yu Cheng, Zhe Gan, Jianfeng Wang, Lijuan Wang, Jingjing Liu, Zhangyang Wang
2022 A* conf
Backdoor Attacks on Crowd Counting.
ACM Multimedia
Yuhua Sun, Tailai Zhang, Xingjun Ma, Pan Zhou, Jian Lou, Zichuan Xu, Xing Di, Yu Cheng, Lichao Sun
2022 J jnl
Backdoor Attacks on Crowd Counting.
CoRR
Yuhua Sun, Tailai Zhang, Xingjun Ma, Pan Zhou, Jian Lou, Zichuan Xu, Xing Di, Yu Cheng, Lichao Sun
2022 — conf
DnA: Improving Few-Shot Transfer Learning with Low-Rank Decomposition and Alignment.
ECCV (20)
Ziyu Jiang, Tianlong Chen, Xuxi Chen, Yu Cheng, Luowei Zhou, Lu Yuan, Ahmed Awadallah, Zhangyang Wang
2022 A* conf
Efficient Robust Training via Backward Smoothing.
AAAI
Jinghui Chen, Yu Cheng, Zhe Gan, Quanquan Gu, Jingjing Liu
2022 J jnl
Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis.
CoRR
Wan-Cyuan Fan, Yen-Chun Chen, Dongdong Chen, Yu Cheng, Lu Yuan, Yu-Chiang Frank Wang
2022 J jnl
Improved local-feature-based few-shot learning with Sinkhorn metrics.
Int. J. Mach. Learn. Cybern.
Duo Wang, Qianxia Ma, Qingyuan Zheng, Yu Cheng, Tao Zhang
2022 — conf
Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training.
ECCV (27)
Haoxuan You, Luowei Zhou, Bin Xiao, Noel Codella, Yu Cheng, Ruochen Xu, Shih-Fu Chang, Lu Yuan
2022 J jnl
Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training.
CoRR
Haoxuan You, Luowei Zhou, Bin Xiao, Noel Codella, Yu Cheng, Ruochen Xu, Shih-Fu Chang, Lu Yuan
2022 J jnl
M
CoRR
Hanxue Liang, Zhiwen Fan, Rishov Sarkar, Ziyu Jiang, Tianlong Chen, Kai Zou, Yu Cheng, Cong Hao, Zhangyang Wang
2022 A* conf
Memory-Guided Semantic Learning Network for Temporal Sentence Grounding.
AAAI
Daizong Liu, Xiaoye Qu, Xing Di, Yu Cheng, Zichuan Xu, Pan Zhou
2022 J jnl
Memory-Guided Semantic Learning Network for Temporal Sentence Grounding.
CoRR
Daizong Liu, Xiaoye Qu, Xing Di, Yu Cheng, Zichuan Xu, Pan Zhou
2022 A* conf
M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design.
NeurIPS
Hanxue Liang, Zhiwen Fan, Rishov Sarkar, Ziyu Jiang, Tianlong Chen, Kai Zou, Yu Cheng, Cong Hao, Zhangyang Wang
2022 A* conf
Playing Lottery Tickets with Vision and Language.
AAAI
Zhe Gan, Yen-Chun Chen, Linjie Li, Tianlong Chen, Yu Cheng, Shuohang Wang, Jingjing Liu, Lijuan Wang, Zicheng Liu
2022 — conf
Point Cloud Domain Adaptation via Masked Local 3D Structure Prediction.
ECCV (3)
Hanxue Liang, Hehe Fan, Zhiwen Fan, Yi Wang, Tianlong Chen, Yu Cheng, Zhangyang Wang
2022 — conf
Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding.
EMNLP (Findings)
Jiahao Zhu, Daizong Liu, Pan Zhou, Xing Di, Yu Cheng, Song Yang, Wenzheng Xu, Zichuan Xu, Yao Wan, Lichao Sun, Zeyu Xiong
2022 — conf
Scalable Learning to Optimize: A Learned Optimizer Can Train Big Models.
ECCV (23)
Xuxi Chen, Tianlong Chen, Yu Cheng, Weizhu Chen, Ahmed Awadallah, Zhangyang Wang
2022 — conf
SemAttack: Natural Textual Attacks via Different Semantic Spaces.
NAACL-HLT (Findings)
Boxin Wang, Chejian Xu, Xiangyu Liu, Yu Cheng, Bo Li
2022 J jnl
SemAttack: Natural Textual Attacks via Different Semantic Spaces.
CoRR
Boxin Wang, Chejian Xu, Xiangyu Liu, Yu Cheng, Bo Li
2022 A* conf
The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy.
CVPR
Tianlong Chen, Zhenyu Zhang, Yu Cheng, Ahmed Awadallah, Zhangyang Wang
2022 J jnl
The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy.
CoRR
Tianlong Chen, Zhenyu Zhang, Yu Cheng, Ahmed Awadallah, Zhangyang Wang
2022 A* conf
Unsupervised Temporal Video Grounding with Deep Semantic Clustering.
AAAI
Daizong Liu, Xiaoye Qu, Yinzhen Wang, Xing Di, Kai Zou, Yu Cheng, Zichuan Xu, Pan Zhou
2022 J jnl
Unsupervised Temporal Video Grounding with Deep Semantic Clustering.
CoRR
Daizong Liu, Xiaoye Qu, Yinzhen Wang, Xing Di, Kai Zou, Yu Cheng, Zichuan Xu, Pan Zhou
2021 J jnl
A Good Prompt Is Worth Millions of Parameters? Low-resource Prompt-based Learning for Vision-Language Models.
CoRR
Woojeong Jin, Yu Cheng, Yelong Shen, Weizhu Chen, Xiang Ren
2021 J jnl
A novel dual-network architecture for mixed-supervised medical image segmentation.
Comput. Medical Imaging Graph.
Duo Wang, Ming Li, Nir Ben-Shlomo, C. Eduardo Corrales, Yu Cheng, Tao Zhang, Jagadeesan Jayender
2021 — conf
APo-VAE: Text Generation in Hyperbolic Space.
NAACL-HLT
Shuyang Dai, Zhe Gan, Yu Cheng, Chenyang Tao, Lawrence Carin, Jingjing Liu
2021 J jnl
Adversarial Feature Augmentation and Normalization for Visual Recognition.
CoRR
Tianlong Chen, Yu Cheng, Zhe Gan, Jianfeng Wang, Lijuan Wang, Zhangyang Wang, Jingjing Liu
2021 — conf
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models.
NeurIPS Datasets and Benchmarks
Boxin Wang, Chejian Xu, Shuohang Wang, Zhe Gan, Yu Cheng, Jianfeng Gao, Ahmed Hassan Awadallah, Bo Li
2021 J jnl
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models.
CoRR
Boxin Wang, Chejian Xu, Shuohang Wang, Zhe Gan, Yu Cheng, Jianfeng Gao, Ahmed Hassan Awadallah, Bo Li
2021 J jnl
Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling.
IEEE Trans. Neural Networks Learn. Syst.
Haoran You, Yu Cheng, Tianheng Cheng, Chun-Liang Li, Pan Zhou
2021 J jnl
CUPID: Adaptive Curation of Pre-training Data for Video-and-Language Representation Learning.
CoRR
Luowei Zhou, Jingjing Liu, Yu Cheng, Zhe Gan, Lei Zhang
2021 A* conf
Chasing Sparsity in Vision Transformers: An End-to-End Exploration.
NeurIPS
Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang, Zhangyang Wang
2021 J jnl
Chasing Sparsity in Vision Transformers: An End-to-End Exploration.
CoRR
Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang, Zhangyang Wang
2021 — conf
Cluster-Former: Clustering-based Sparse Transformer for Question Answering.
ACL/IJCNLP (Findings)
Shuohang Wang, Luowei Zhou, Zhe Gan, Yen-Chun Chen, Yuwei Fang, Siqi Sun, Yu Cheng, Jingjing Liu
2021 A* conf
Context-Aware Biaffine Localizing Network for Temporal Sentence Grounding.
CVPR
Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Yu Cheng, Wei Wei, Zichuan Xu, Yulai Xie
2021 J jnl
Context-aware Biaffine Localizing Network for Temporal Sentence Grounding.
CoRR
Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Yu Cheng, Wei Wei, Zichuan Xu, Yulai Xie
2021 J jnl
DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models.
CoRR
Xuxi Chen, Tianlong Chen, Yu Cheng, Weizhu Chen, Zhangyang Wang, Ahmed Hassan Awadallah
2021 A* conf
Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective.
NeurIPS
Tianlong Chen, Yu Cheng, Zhe Gan, Jingjing Liu, Zhangyang Wang
2021 — conf
EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets.
ACL/IJCNLP (1)
Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Zhangyang Wang, Jingjing Liu
2021 J jnl
EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets.
CoRR
Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Zhangyang Wang, Jingjing Liu
2021 J jnl
EnlightenGAN: Deep Light Enhancement Without Paired Supervision.
IEEE Trans. Image Process.
Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang
2021 A* conf
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective.
ICLR
Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu
2021 — conf
MaxVA: Fast Adaptation of Step Sizes by Maximizing Observed Variance of Gradients.
ECML/PKDD (3)
Chen Zhu, Yu Cheng, Zhe Gan, Furong Huang, Jingjing Liu, Tom Goldstein
2021 A conf
Meta Module Network for Compositional Visual Reasoning.
WACV
Wenhu Chen, Zhe Gan, Linjie Li, Yu Cheng, William Yang Wang, Jingjing Liu
2021 J jnl
Playing Lottery Tickets with Vision and Language.
CoRR
Zhe Gan, Yen-Chun Chen, Linjie Li, Tianlong Chen, Yu Cheng, Shuohang Wang, Jingjing Liu
2021 A* conf
The Elastic Lottery Ticket Hypothesis.
NeurIPS
Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Jingjing Liu, Zhangyang Wang
2021 J jnl
The Elastic Lottery Ticket Hypothesis.
CoRR
Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Jingjing Liu, Zhangyang Wang
2021 A* conf
UC2: Universal Cross-Lingual Cross-Modal Vision-and-Language Pre-Training.
CVPR
Mingyang Zhou, Luowei Zhou, Shuohang Wang, Yu Cheng, Linjie Li, Zhou Yu, Jingjing Liu
2021 J jnl
UC2: Universal Cross-lingual Cross-modal Vision-and-Language Pre-training.
CoRR
Mingyang Zhou, Luowei Zhou, Shuohang Wang, Yu Cheng, Linjie Li, Zhou Yu, Jingjing Liu
2021 J jnl
Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly.
CoRR
Tianlong Chen, Yu Cheng, Zhe Gan, Jingjing Liu, Zhangyang Wang
2021 — conf
VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation.
NeurIPS Datasets and Benchmarks
Linjie Li, Jie Lei, Zhe Gan, Licheng Yu, Yen-Chun Chen, Rohit Pillai, Yu Cheng, Luowei Zhou, Xin Wang, William Yang Wang, Tamara L. Berg, Mohit Bansal, Jingjing Liu, Lijuan Wang, Zicheng Liu
2021 J jnl
VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation.
CoRR
Linjie Li, Jie Lei, Zhe Gan, Licheng Yu, Yen-Chun Chen, Rohit Pillai, Yu Cheng, Luowei Zhou, Xin Eric Wang, William Yang Wang, Tamara Lee Berg, Mohit Bansal, Jingjing Liu, Lijuan Wang, Zicheng Liu
2021 J jnl
What do Compressed Large Language Models Forget? Robustness Challenges in Model Compression.
CoRR
Mengnan Du, Subhabrata Mukherjee, Yu Cheng, Milad Shokouhi, Xia Hu, Ahmed Hassan Awadallah
2020 J jnl
APo-VAE: Text Generation in Hyperbolic Space.
CoRR
Shuyang Dai, Zhe Gan, Yu Cheng, Chenyang Tao, Lawrence Carin, Jingjing Liu
2020 J jnl
Adaptive Learning Rates with Maximum Variation Averaging.
CoRR
Chen Zhu, Yu Cheng, Zhe Gan, Furong Huang, Jingjing Liu, Tom Goldstein
2020 A* conf
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning.
CVPR
Tianlong Chen, Sijia Liu, Shiyu Chang, Yu Cheng, Lisa Amini, Zhangyang Wang
2020 J jnl
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning.
CoRR
Tianlong Chen, Sijia Liu, Shiyu Chang, Yu Cheng, Lisa Amini, Zhangyang Wang
2020 A* conf
BachGAN: High-Resolution Image Synthesis From Salient Object Layout.
CVPR
Yandong Li, Yu Cheng, Zhe Gan, Licheng Yu, Liqiang Wang, Jingjing Liu
2020 J jnl
BachGAN: High-Resolution Image Synthesis from Salient Object Layout.
CoRR
Yandong Li, Yu Cheng, Zhe Gan, Licheng Yu, Liqiang Wang, Jingjing Liu
2020 — conf
Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models.
ECCV (6)
Jize Cao, Zhe Gan, Yu Cheng, Licheng Yu, Yen-Chun Chen, Jingjing Liu
2020 J jnl
Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models.
CoRR
Jize Cao, Zhe Gan, Yu Cheng, Licheng Yu, Yen-Chun Chen, Jingjing Liu
2020 J jnl
Cluster-Former: Clustering-based Sparse Transformer for Long-Range Dependency Encoding.
CoRR
Shuohang Wang, Luowei Zhou, Zhe Gan, Yen-Chun Chen, Yuwei Fang, Siqi Sun, Yu Cheng, Jingjing Liu
2020 — conf
Contextual Text Style Transfer.
EMNLP (Findings)
Yu Cheng, Zhe Gan, Yizhe Zhang, Oussama Elachqar, Dianqi Li, Jingjing Liu
2020 J jnl
Contextual Text Style Transfer.
CoRR
Yu Cheng, Zhe Gan, Yizhe Zhang, Oussama Elachqar, Dianqi Li, Jingjing Liu
2020 — conf
Contrastive Distillation on Intermediate Representations for Language Model Compression.
EMNLP (1)
Siqi Sun, Zhe Gan, Yuwei Fang, Yu Cheng, Shuohang Wang, Jingjing Liu
2020 J jnl
Contrastive Distillation on Intermediate Representations for Language Model Compression.
CoRR
Siqi Sun, Zhe Gan, Yu Cheng, Yuwei Fang, Shuohang Wang, Jingjing Liu
2020 — conf
Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation.
ACCV (4)
Shuyang Dai, Yu Cheng, Yizhe Zhang, Zhe Gan, Jingjing Liu, Lawrence Carin
2020 — conf
Cross-Thought for Sentence Encoder Pre-training.
EMNLP (1)
Shuohang Wang, Yuwei Fang, Siqi Sun, Zhe Gan, Yu Cheng, Jingjing Liu, Jing Jiang
2020 J jnl
Cross-Thought for Sentence Encoder Pre-training.
CoRR
Shuohang Wang, Yuwei Fang, Siqi Sun, Zhe Gan, Yu Cheng, Jing Jiang, Jingjing Liu
2020 A* conf
Discourse-Aware Neural Extractive Text Summarization.
ACL
Jiacheng Xu, Zhe Gan, Yu Cheng, Jingjing Liu
2020 A* conf
Distilling Knowledge Learned in BERT for Text Generation.
ACL
Yen-Chun Chen, Zhe Gan, Yu Cheng, Jingzhou Liu, Jingjing Liu
2020 J jnl
Efficient Robust Training via Backward Smoothing.
CoRR
Jinghui Chen, Yu Cheng, Zhe Gan, Quanquan Gu, Jingjing Liu
2020 A* conf
Fine-grained Iterative Attention Network for Temporal Language Localization in Videos.
ACM Multimedia
Xiaoye Qu, Pengwei Tang, Zhikang Zou, Yu Cheng, Jianfeng Dong, Pan Zhou, Zichuan Xu
2020 J jnl
Fine-grained Iterative Attention Network for TemporalLanguage Localization in Videos.
CoRR
Xiaoye Qu, Pengwei Tang, Zhikang Zhou, Yu Cheng, Jianfeng Dong, Pan Zhou
2020 A* conf
FreeLB: Enhanced Adversarial Training for Natural Language Understanding.
ICLR
Chen Zhu, Yu Cheng, Zhe Gan, Siqi Sun, Tom Goldstein, Jingjing Liu
2020 A* conf
Graph Optimal Transport for Cross-Domain Alignment.
ICML
Liqun Chen, Zhe Gan, Yu Cheng, Linjie Li, Lawrence Carin, Jingjing Liu
2020 J jnl
Graph Optimal Transport for Cross-Domain Alignment.
CoRR
Liqun Chen, Zhe Gan, Yu Cheng, Linjie Li, Lawrence Carin, Jingjing Liu
2020 — conf
HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training.
EMNLP (1)
Linjie Li, Yen-Chun Chen, Yu Cheng, Zhe Gan, Licheng Yu, Jingjing Liu
2020 J jnl
HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training.
CoRR
Linjie Li, Yen-Chun Chen, Yu Cheng, Zhe Gan, Licheng Yu, Jingjing Liu
2020 A* conf
INSET: Sentence Infilling with INter-SEntential Transformer.
ACL
Yichen Huang, Yizhe Zhang, Oussama Elachqar, Yu Cheng
2020 J jnl
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective.
CoRR
Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu
2020 A* conf
Large-Scale Adversarial Training for Vision-and-Language Representation Learning.
NeurIPS
Zhe Gan, Yen-Chun Chen, Linjie Li, Chen Zhu, Yu Cheng, Jingjing Liu
2020 J jnl
Large-Scale Adversarial Training for Vision-and-Language Representation Learning.
CoRR
Zhe Gan, Yen-Chun Chen, Linjie Li, Chen Zhu, Yu Cheng, Jingjing Liu
2020 — conf
Multi-Fact Correction in Abstractive Text Summarization.
EMNLP (1)
Yue Dong, Shuohang Wang, Zhe Gan, Yu Cheng, Jackie Chi Kit Cheung, Jingjing Liu
2020 J jnl
Multi-Fact Correction in Abstractive Text Summarization.
CoRR
Yue Dong, Shuohang Wang, Zhe Gan, Yu Cheng, Jackie Chi Kit Cheung, Jingjing Liu
2020 A* conf
Sequential Attention GAN for Interactive Image Editing.
ACM Multimedia
Yu Cheng, Zhe Gan, Yitong Li, Jingjing Liu, Jianfeng Gao
2020 — conf
UNITER: UNiversal Image-TExt Representation Learning.
ECCV (30)
Yen-Chun Chen, Linjie Li, Licheng Yu, Ahmed El Kholy, Faisal Ahmed, Zhe Gan, Yu Cheng, Jingjing Liu
2020 J jnl
VIOLIN: A Large-Scale Dataset for Video-and-Language Inference.
CoRR
Jingzhou Liu, Wenhu Chen, Yu Cheng, Zhe Gan, Licheng Yu, Yiming Yang, Jingjing Liu
2020 A* conf
Violin: A Large-Scale Dataset for Video-and-Language Inference.
CVPR
Jingzhou Liu, Wenhu Chen, Yu Cheng, Zhe Gan, Licheng Yu, Yiming Yang, Jingjing Liu
2020 A* conf
What Makes A Good Story? Designing Composite Rewards for Visual Storytelling.
AAAI
Junjie Hu, Yu Cheng, Zhe Gan, Jingjing Liu, Jianfeng Gao, Graham Neubig
2019 J jnl
A Hybrid Approach with Optimization and Metric-based Meta-Learner for Few-Shot Learning.
CoRR
Duo Wang, Yu Cheng, Mo Yu, Xiaoxiao Guo, Tao Zhang
2019 J jnl
A hybrid approach with optimization-based and metric-based meta-learner for few-shot learning.
Neurocomputing
Duo Wang, Yu Cheng, Mo Yu, Xiaoxiao Guo, Tao Zhang
2019 — conf
Adversarial Category Alignment Network for Cross-domain Sentiment Classification.
NAACL-HLT (1)
Xiaoye Qu, Zhikang Zou, Yu Cheng, Yang Yang, Pan Zhou
2019 J jnl
Attend To Count: Crowd Counting with Adaptive Capacity Multi-scale CNNs.
CoRR
Zhikang Zou, Yu Cheng, Xiaoye Qu, Shouling Ji, Xiaoxiao Guo, Pan Zhou
2019 J jnl
Attend to count: Crowd counting with adaptive capacity multi-scale CNNs.
Neurocomputing
Zhikang Zou, Yu Cheng, Xiaoye Qu, Shouling Ji, Xiaoxiao Guo, Pan Zhou
2019 J jnl
Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation.
CoRR
Shuyang Dai, Yu Cheng, Yizhe Zhang, Zhe Gan, Jingjing Liu, Lawrence Carin
2019 J jnl
Discourse-Aware Neural Extractive Model for Text Summarization.
CoRR
Jiacheng Xu, Zhe Gan, Yu Cheng, Jingjing Liu
2019 J jnl
Distilling the Knowledge of BERT for Text Generation.
CoRR
Yen-Chun Chen, Zhe Gan, Yu Cheng, Jingzhou Liu, Jingjing Liu
2019 — conf
Domain Adaptive Text Style Transfer.
EMNLP/IJCNLP (1)
Dianqi Li, Yizhe Zhang, Zhe Gan, Yu Cheng, Chris Brockett, Bill Dolan, Ming-Ting Sun
2019 J jnl
Domain Adaptive Text Style Transfer.
CoRR
Dianqi Li, Yizhe Zhang, Zhe Gan, Yu Cheng, Chris Brockett, Ming-Ting Sun, Bill Dolan
2019 J jnl
EnlightenGAN: Deep Light Enhancement without Paired Supervision.
CoRR
Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang
2019 J jnl
Few-shot Learning with Meta Metric Learners.
CoRR
Yu Cheng, Mo Yu, Xiaoxiao Guo, Bowen Zhou
2019 J jnl
FreeLB: Enhanced Adversarial Training for Language Understanding.
CoRR
Chen Zhu, Yu Cheng, Zhe Gan, Siqi Sun, Tom Goldstein, Jingjing Liu
2019 J jnl
INSET: Sentence Infilling with Inter-sentential Generative Pre-training.
CoRR
Yichen Huang, Yizhe Zhang, Oussama Elachqar, Yu Cheng
2019 J jnl
Meta Module Network for Compositional Visual Reasoning.
CoRR
Wenhu Chen, Zhe Gan, Linjie Li, Yu Cheng, William Yang Wang, Jingjing Liu
2019 — conf
Mixed-Supervised Dual-Network for Medical Image Segmentation.
MICCAI (2)
Duo Wang, Ming Li, Nir Ben-Shlomo, C. Eduardo Corrales, Yu Cheng, Tao Zhang, Jagadeesan Jayender
2019 J jnl
Mixed-Supervised Dual-Network for Medical Image Segmentation.
CoRR
Duo Wang, Ming Li, Nir Ben-Shlomo, C. Eduardo Corrales, Yu Cheng, Tao Zhang, Jagadeesan Jayender
2019 — conf
Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog.
ACL (1)
Zhe Gan, Yu Cheng, Ahmed El Kholy, Linjie Li, Jingjing Liu, Jianfeng Gao
2019 J jnl
Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog.
CoRR
Zhe Gan, Yu Cheng, Ahmed El Kholy, Linjie Li, Jingjing Liu, Jianfeng Gao
2019 — conf
Patient Knowledge Distillation for BERT Model Compression.
EMNLP/IJCNLP (1)
Siqi Sun, Yu Cheng, Zhe Gan, Jingjing Liu
2019 J jnl
Patient Knowledge Distillation for BERT Model Compression.
CoRR
Siqi Sun, Yu Cheng, Zhe Gan, Jingjing Liu
2019 A* conf
Relation-Aware Graph Attention Network for Visual Question Answering.
ICCV
Linjie Li, Zhe Gan, Yu Cheng, Jingjing Liu
2019 J jnl
Relation-aware Graph Attention Network for Visual Question Answering.
CoRR
Linjie Li, Zhe Gan, Yu Cheng, Jingjing Liu
2019 A* conf
StoryGAN: A Sequential Conditional GAN for Story Visualization.
CVPR
Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David E. Carlson, Jianfeng Gao
2019 J jnl
Tell-the-difference: Fine-grained Visual Descriptor via a Discriminating Referee.
CoRR
Shuangjie Xu, Feng Xu, Yu Cheng, Pan Zhou
2019 J jnl
UNITER: Learning UNiversal Image-TExt Representations.
CoRR
Yen-Chun Chen, Linjie Li, Licheng Yu, Ahmed El Kholy, Faisal Ahmed, Zhe Gan, Yu Cheng, Jingjing Liu
2019 J jnl
What Makes A Good Story? Designing Composite Rewards for Visual Storytelling.
CoRR
Junjie Hu, Yu Cheng, Zhe Gan, Jingjing Liu, Jianfeng Gao, Graham Neubig
2018 J jnl
Bayesian CycleGAN via Marginalizing Latent Sampling.
CoRR
Haoran You, Yu Cheng, Tianheng Cheng, Chun-Liang Li, Pan Zhou
2018 A* conf
Dialog-based Interactive Image Retrieval.
NeurIPS
Xiaoxiao Guo, Hui Wu, Yu Cheng, Steven Rennie, Gerald Tesauro, Rogério Schmidt Feris
2018 J jnl
Dialog-based Interactive Image Retrieval.
CoRR
Xiaoxiao Guo, Hui Wu, Yu Cheng, Steven Rennie, Rogério Schmidt Feris
2018 — conf
Diverse Few-Shot Text Classification with Multiple Metrics.
NAACL-HLT
Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Yu Cheng, Gerald Tesauro, Haoyu Wang, Bowen Zhou
2018 J jnl
Diverse Few-Shot Text Classification with Multiple Metrics.
CoRR
Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Yu Cheng, Gerald Tesauro, Haoyu Wang, Bowen Zhou
2018 J jnl
Early Fault Detection Approach With Deep Architectures.
IEEE Trans. Instrum. Meas.
Weining Lu, Yipeng Li, Yu Cheng, Deshan Meng, Bin Liang, Pan Zhou
2018 J jnl
Model Compression and Acceleration for Deep Neural Networks: The Principles, Progress, and Challenges.
IEEE Signal Process. Mag.
Yu Cheng, Duo Wang, Pan Zhou, Tao Zhang
2018 J jnl
Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond.
CoRR
Xi Ouyang, Yu Cheng, Yifan Jiang, Chun-Liang Li, Pan Zhou
2018 J jnl
Sequential Attention GAN for Interactive Image Editing via Dialogue.
CoRR
Yu Cheng, Zhe Gan, Yitong Li, Jingjing Liu, Jianfeng Gao
2018 J jnl
Spatial-Temporal Synergic Residual Learning for Video Person Re-Identification.
CoRR
Xinxing Su, Yingtian Zou, Yu Cheng, Shuangjie Xu, Mo Yu, Pan Zhou
2018 J jnl
StoryGAN: A Sequential Conditional GAN for Story Visualization.
CoRR
Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David E. Carlson, Jianfeng Gao
2018 J jnl
Switching-State Dynamical Modeling of Daily Behavioral Data.
J. Heal. Informatics Res.
Randy Ardywibowo, Shuai Huang, Shupeng Gui, Cao Xiao, Yu Cheng, Ji Liu, Xiaoning Qian
2017 J jnl
A Survey of Model Compression and Acceleration for Deep Neural Networks.
CoRR
Yu Cheng, Duo Wang, Pan Zhou, Tao Zhang
2017 A* conf
Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records.
ICDM
Zhengping Che, Yu Cheng, Shuangfei Zhai, Zhaonan Sun, Yan Liu
2017 J jnl
Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records.
CoRR
Zhengping Che, Yu Cheng, Shuangfei Zhai, Zhaonan Sun, Yan Liu
2017 J jnl
CHI: A contemporaneous health index for degenerative disease monitoring using longitudinal measurements.
J. Biomed. Informatics
Yijun Huang, Qiang Meng, Heather L. Evans, William B. Lober, Yu Cheng, Xiaoning Qian, Ji Liu, Shuai Huang
2017 J jnl
Deep Model Based Domain Adaptation for Fault Diagnosis.
IEEE Trans. Ind. Electron.
Weining Lu, Bin Liang, Yu Cheng, Deshan Meng, Jun Yang, Tao Zhang
2017 J jnl
Exploiting Convolutional Neural Network for Risk Prediction with Medical Feature Embedding.
CoRR
Zhengping Che, Yu Cheng, Zhaonan Sun, Yan Liu
2017 A* conf
Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification.
CVPR
Yongxi Lu, Abhishek Kumar, Shuangfei Zhai, Yu Cheng, Tara Javidi, Rogério Schmidt Feris
2017 A* conf
Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-identification.
ICCV
Shuangjie Xu, Yu Cheng, Kang Gu, Yang Yang, Shiyu Chang, Pan Zhou
2017 J jnl
Jointly Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification.
CoRR
Shuangjie Xu, Yu Cheng, Kang Gu, Yang Yang, Shiyu Chang, Pan Zhou
2017 J jnl
Legislative prediction with dual uncertainty minimization from heterogeneous information.
Stat. Anal. Data Min.
Yu Cheng, Ankit Agrawal, Huan Liu, Alok N. Choudhary
2017 — conf
MMD GAN: Towards Deeper Understanding of Moment Matching Network.
NIPS
Chun-Liang Li, Wei-Cheng Chang, Yu Cheng, Yiming Yang, Barnabás Póczos
2017 J jnl
MMD GAN: Towards Deeper Understanding of Moment Matching Network.
CoRR
Chun-Liang Li, Wei-Cheng Chang, Yu Cheng, Yiming Yang, Barnabás Póczos
2017 J jnl
Robust extrinsic calibration from pedestrians.
Signal Process. Image Commun.
Xiaohan Li, Yu Cheng, Tao Zhang
2017 A* conf
S3Pool: Pooling with Stochastic Spatial Sampling.
CVPR
Shuangfei Zhai, Hui Wu, Abhishek Kumar, Yu Cheng, Yongxi Lu, Zhongfei Zhang, Rogério Schmidt Feris
2017 J jnl
Unsupervised Sequential Outlier Detection With Deep Architectures.
IEEE Trans. Image Process.
Weining Lu, Yu Cheng, Cao Xiao, Shiyu Chang, Shuai Huang, Bin Liang, Thomas S. Huang
2016 A* conf
Deep Structured Energy Based Models for Anomaly Detection.
ICML
Shuangfei Zhai, Yu Cheng, Weining Lu, Zhongfei Zhang
2016 J jnl
Deep Structured Energy Based Models for Anomaly Detection.
CoRR
Shuangfei Zhai, Yu Cheng, Weining Lu, Zhongfei Zhang
2016 — conf
Doubly Convolutional Neural Networks.
NIPS
Shuangfei Zhai, Yu Cheng, Zhongfei (Mark) Zhang, Weining Lu
2016 J jnl
Doubly Convolutional Neural Networks.
CoRR
Shuangfei Zhai, Yu Cheng, Weining Lu, Zhongfei Zhang
2016 J jnl
Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification.
CoRR
Yongxi Lu, Abhishek Kumar, Shuangfei Zhai, Yu Cheng, Tara Javidi, Rogério Schmidt Feris
2016 J jnl
Generative Adversarial Networks as Variational Training of Energy Based Models.
CoRR
Shuangfei Zhai, Yu Cheng, Rogério Schmidt Feris, Zhongfei Zhang
2016 B conf
Outlier faces detector via efficient cohesive subgraph identification.
ICIP
Yu Cheng, Nalini K. Ratha, Sharath Pankanti
2016 J jnl
S3Pool: Pooling with Stochastic Spatial Sampling.
CoRR
Shuangfei Zhai, Hui Wu, Abhishek Kumar, Yu Cheng, Yongxi Lu, Zhongfei Zhang, Rogério Schmidt Feris
2016 A* conf
Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data.
CVPR
Jing Wang, Yu Cheng, Rogério Schmidt Feris
2016 J jnl
Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data.
CoRR
Jing Wang, Yu Cheng, Rogério Schmidt Feris
2015 A* conf
An Exploration of Parameter Redundancy in Deep Networks with Circulant Projections.
ICCV
Yu Cheng, Felix X. Yu, Rogério Schmidt Feris, Sanjiv Kumar, Alok N. Choudhary, Shih-Fu Chang
2015 J jnl
Fast Neural Networks with Circulant Projections.
CoRR
Yu Cheng, Felix X. Yu, Rogério Schmidt Feris, Sanjiv Kumar, Alok N. Choudhary, Shih-Fu Chang
2015 A conf
Legislative Prediction with Dual Uncertainty Minimization from Heterogeneous Information.
SDM
Yu Cheng, Ankit Agrawal, Huan Liu, Alok N. Choudhary
2015 — conf
Reducing infrequent-token perplexity via variational corpora.
ACL (2)
Yusheng Xie, Pranjal Daga, Yu Cheng, Kunpeng Zhang, Ankit Agrawal, Alok N. Choudhary
2014 A conf
Batch Mode Active Learning with Hierarchical-Structured Embedded Variance.
SDM
Yu Cheng, Zhengzhang Chen, Hongliang Fei, Fei Wang, Alok N. Choudhary
2014 — conf
Dual Uncertainty Minimization Regularization and Its Applications on Heterogeneous Data.
ICDM Workshops
Yu Cheng, Alok N. Choudhary, Jun Wang, Sharath Pankanti, Huan Liu
2014 — conf
Estimating Online User Location Distribution without GPS Location.
ICDM Workshops
Yusheng Xie, Yu Cheng, Ankit Agrawal, Alok N. Choudhary
2014 — conf
IBM-Northwestern@TRECVID 2014: Surveillance Event Detection.
TRECVID
Yu Cheng, Lisa M. Brown, Quanfu Fan, Jingjing Liu, Rogério Schmidt Feris, Alok N. Choudhary, Sharath Pankanti
2014 J jnl
MuSES: Multilingual Sentiment Elicitation System for Social Media Data.
IEEE Intell. Syst.
Yusheng Xie, Zhengzhang Chen, Kunpeng Zhang, Yu Cheng, Daniel Honbo, Ankit Agrawal, Alok N. Choudhary
2014 A conf
RiskWheel: Interactive visual analytics for surveillance event detection.
ICME
Yu Cheng, Lisa M. Brown, Qibin Fan, Rogério Schmidt Feris, Sharath Pankanti, Tao Zhang
2014 A* conf
Social Role Identification via Dual Uncertainty Minimization Regularization.
ICDM
Yu Cheng, Ankit Agrawal, Alok N. Choudhary, Huan Liu, Tao Zhang
2014 A* conf
Temporal Sequence Modeling for Video Event Detection.
CVPR
Yu Cheng, Quanfu Fan, Sharath Pankanti, Alok N. Choudhary
2013 B conf
A probabilistic graphical model for brand reputation assessment in social networks.
ASONAM
Kunpeng Zhang, Doug Downey, Zhengzhang Chen, Yusheng Xie, Yu Cheng, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary
2013 — conf
A robot-in-the-loop face detection and recognition system with coordinaive control platform.
ROBIO
Xiaohan Li, Yu Cheng, Song Chen, Tao Zhang
2013 A conf
Bootstrapping active name disambiguation with crowdsourcing.
CIKM
Yu Cheng, Zhengzhang Chen, Jiang Wang, Ankit Agrawal, Alok N. Choudhary
2013 — conf
Elver: Recommending Facebook pages in cold start situation without content features.
IEEE BigData
Yusheng Xie, Zhengzhang Chen, Kunpeng Zhang, Chen Jin, Yu Cheng, Ankit Agrawal, Alok N. Choudhary
2013 A conf
Feedback-driven multiclass active learning for data streams.
CIKM
Yu Cheng, Zhengzhang Chen, Lu Liu, Jiang Wang, Ankit Agrawal, Alok N. Choudhary
2013 A* conf
Forecast Oriented Classification of Spatio-Temporal Extreme Events.
IJCAI
Zhengzhang Chen, Yusheng Xie, Yu Cheng, Kunpeng Zhang, Ankit Agrawal, Wei-keng Liao, Nagiza F. Samatova, Alok N. Choudhary
2013 A conf
Graphical Modeling of Macro Behavioral Targeting in Social Networks.
SDM
Ankit Agrawal, Zhengzhang Chen, Yu Cheng, Alok N. Choudhary, Haotian Liu, Md. Mostofa Ali Patwary, Yusheng Xie, Kunpeng Zhang
2013 — conf
IBM Research and Columbia University TRECVID-2013 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), Surveillance Event Detection (SED), and Semantic Indexing (SIN) Systems.
TRECVID
Lisa M. Brown, Liangliang Cao, Chih-Fu Chang, Yu Cheng, Alok N. Choudhary, Noel Codella, Courtenay V. Cotton, Dan Ellis, Quanfu Fan, Rogério Schmidt Feris, Leiguang Gong, Matthew L. Hill, Gang Hua, John R. Kender, Michele Merler, Yadong Mu, Sharath Pankanti, John R. Smith, Felix X. Yu
2013 A* conf
JobMiner: a real-time system for mining job-related patterns from social media.
KDD
Yu Cheng, Yusheng Xie, Zhengzhang Chen, Ankit Agrawal, Alok N. Choudhary, Songtao Guo
2013 A conf
Mining diabetes complication and treatment patterns for clinical decision support.
CIKM
Lu Liu, Jie Tang, Yu Cheng, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary
2012 — conf
CluChunk: clustering large scale user-generated content incorporating chunklet information.
BigMine
Yu Cheng, Yusheng Xie, Kunpeng Zhang, Ankit Agrawal, Alok N. Choudhary
2012 A conf
On active learning in hierarchical classification.
CIKM
Yu Cheng, Kunpeng Zhang, Yusheng Xie, Ankit Agrawal, Alok N. Choudhary
2012 — conf
Probabilistic macro behavioral targeting.
DUBMMSM
Yusheng Xie, Yu Cheng, Daniel Honbo, Kunpeng Zhang, Ankit Agrawal, Alok N. Choudhary, Yi Gao, Jiangtao Gou
2012 A* conf
Sentiment identification by incorporating syntax, semantics and context information.
SIGIR
Kunpeng Zhang, Yusheng Xie, Yu Cheng, Daniel Honbo, Doug Downey, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary
2012 A* conf
VOXSUP: a social engagement framework.
KDD
Yusheng Xie, Daniel Honbo, Alok N. Choudhary, Kunpeng Zhang, Yu Cheng, Ankit Agrawal
2011 — conf
Learning to Group Web Text Incorporating Prior Information.
ICDM Workshops
Yu Cheng, Kunpeng Zhang, Yusheng Xie, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary
2011 C conf
Mining millions of reviews: a technique to rank products based on importance of reviews.
ICEC
Kunpeng Zhang, Yu Cheng, Wei-keng Liao, Alok N. Choudhary
2011 — conf
SES: Sentiment Elicitation System for Social Media Data.
ICDM Workshops
Kunpeng Zhang, Yu Cheng, Yusheng Xie, Daniel Honbo, Ankit Agrawal, Diana Palsetia, Kathy Lee, Wei-keng Liao, Alok N. Choudhary
2010 — conf
A fast clustering approach for effectively searching person specific image.
ICDIP
Yu Cheng, Tao Zhang
2010 J jnl
A real-time face detection and recognition system for a mobile robot in a complex background.
Artif. Life Robotics
Song Chen, Tao Zhang, Chengpu Zhang, Yu Cheng
2010 — conf
Design of Fast Multiple String Searching Based on Improved Prefix Tree.
WKDD
Yu Cheng, Tao Zhang
2009 — conf
Fast person-specific image retrieval using a simple and efficient clustering method.
ROBIO
Yu Cheng, Tao Zhang, Song Chen
2009 — conf
Formation and obstacle avoidance in the unknown environment of multi-robot system.
ROBIO
Tao Zhang, Xiaqin Li, Yi Zhu, Song Chen, Yu Cheng, Jingyan Song
2009 C conf
VisionSynaptics: a system convert hand-writing and image symbol into computer symbol.
ICIS
Yu Cheng, Tao Zhang, Song Chen